Spatial Transcriptomics

Note

Code chunks run Python commands unless it starts with %%bash, in which case, those chunks run shell commands.

Adapted from tutorials by Giovanni Palla (https://scanpy-tutorials.readthedocs.io/en/latest/spatial/integration-scanorama.html) and Carlos Talavera-López (https://docs.scvi-tools.org/en/latest/tutorials/notebooks/stereoscope_heart_LV_tutorial.html)

Spatial transcriptomic data with the Visium platform is in many ways similar to scRNAseq data. It contains UMI counts for 5-20 cells instead of single cells, but is still quite sparse in the same way as scRNAseq data is, but with the additional information about spatial location in the tissue.
Here we will first run quality control in a similar manner to scRNAseq data, then QC filtering, dimensionality reduction, integration and clustering. Then we will use scRNAseq data from mouse cortex to run label transfer to predict celltypes in the Visium spots.
We will use two Visium spatial transcriptomics dataset of the mouse brain (Sagittal), which are publicly available from the 10x genomics website. Note, that these dataset have already been filtered for spots that does not overlap with the tissue.

1 Preparation

Load packages

import scanpy as sc
import anndata as an
import pandas as pd
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
import scanorama
import warnings
import os

warnings.simplefilter(action="ignore", category=Warning)

sc.set_figure_params(facecolor="white", figsize=(8, 8))
sc.settings.verbosity = 3

Load ST data

The function datasets.visium_sge() downloads the dataset from 10x genomics and returns an AnnData object that contains counts, images and spatial coordinates. We will calculate standards QC metrics with pp.calculate_qc_metrics() and visualize them.

When using your own Visium data, use Scanpy’s read_visium() function to import it.

# download pre-computed data if missing or long compute
fetch_data = True

# url for source and intermediate data
path_data = "https://export.uppmax.uu.se/naiss2023-23-3/workshops/workshop-scrnaseq"

if not os.path.exists("./data/spatial/visium"):
    os.makedirs("./data/spatial/visium")

adata_anterior = sc.datasets.visium_sge(
    sample_id="V1_Mouse_Brain_Sagittal_Anterior"
)
adata_posterior = sc.datasets.visium_sge(
    sample_id="V1_Mouse_Brain_Sagittal_Posterior"
)

reading /work/labs/scanpy/data/V1_Mouse_Brain_Sagittal_Anterior/filtered_feature_bc_matrix.h5
 (0:00:00)
reading /work/labs/scanpy/data/V1_Mouse_Brain_Sagittal_Posterior/filtered_feature_bc_matrix.h5
 (0:00:00)

adata_anterior.var_names_make_unique()
adata_posterior.var_names_make_unique()

To make sure that both images are included in the merged object, use uns_merge=“unique”.

# merge into one dataset
library_names = ["V1_Mouse_Brain_Sagittal_Anterior", "V1_Mouse_Brain_Sagittal_Posterior"]

adata = adata_anterior.concatenate(
    adata_posterior,
    batch_key="library_id",
    uns_merge="unique",
    batch_categories=library_names
)

adata

AnnData object with n_obs × n_vars = 6050 × 32285
    obs: 'in_tissue', 'array_row', 'array_col', 'library_id'
    var: 'gene_ids', 'feature_types', 'genome'
    uns: 'spatial'
    obsm: 'spatial'

As you can see, we now have the slot spatial in obsm, which contains the spatial information from the Visium platform.

2 Quality control

Similar to scRNA-seq we use statistics on number of counts, number of features and percent mitochondria for quality control.

# add info on mitochondrial and hemoglobin genes to the objects.
adata.var['mt'] = adata.var_names.str.startswith('mt-') 
adata.var['hb'] = adata.var_names.str.contains(("^Hb.*-"))

sc.pp.calculate_qc_metrics(adata, qc_vars=['mt','hb'], percent_top=None, log1p=False, inplace=True)

sc.pl.violin(adata, ['n_genes_by_counts', 'total_counts', 'pct_counts_mt', 'pct_counts_hb'], jitter=0.4, groupby = 'library_id', rotation= 45)

We can also plot the same data onto the tissue section.

In scanpy, this is a bit tricky when you have multiple sections, as you would have to subset and plot them separately.

# need to plot the two sections separately and specify the library_id
for library in library_names:
    sc.pl.spatial(adata[adata.obs.library_id == library,:], library_id=library, color = ["total_counts", "n_genes_by_counts",'pct_counts_mt', 'pct_counts_hb'])

As you can see, the spots with low number of counts/features and high mitochondrial content are mainly towards the edges of the tissue. It is quite likely that these regions are damaged tissue. You may also see regions within a tissue with low quality if you have tears or folds in your section.
But remember, for some tissue types, the amount of genes expressed and proportion mitochondria may also be a biological features, so bear in mind what tissue you are working on and what these features mean.

2.1 Filter spots

Select all spots with less than 25% mitocondrial reads, less than 20% hb-reads and 500 detected genes. You must judge for yourself based on your knowledge of the tissue what are appropriate filtering criteria for your dataset.

keep = (adata.obs['pct_counts_hb'] < 20) & (adata.obs['pct_counts_mt'] < 25) & (adata.obs['n_genes_by_counts'] > 1000)
print(sum(keep))

adata = adata[keep,:]

5749

And replot onto tissue sections.

for library in library_names:
    sc.pl.spatial(adata[adata.obs.library_id == library,:], library_id=library, color = ["total_counts", "n_genes_by_counts",'pct_counts_mt', 'pct_counts_hb'])

2.2 Top expressed genes

As for scRNA-seq data, we will look at what the top expressed genes are.

sc.pl.highest_expr_genes(adata, n_top=20)

normalizing counts per cell
    finished (0:00:00)

As you can see, the mitochondrial genes are among the top expressed genes. Also the lncRNA gene Bc1 (brain cytoplasmic RNA 1). Also one hemoglobin gene.

2.3 Filter genes

We will remove the Bc1 gene, hemoglobin genes (blood contamination) and the mitochondrial genes.

mito_genes = adata.var_names.str.startswith('mt-')
hb_genes = adata.var_names.str.contains('^Hb.*-')

remove = np.add(mito_genes, hb_genes)
remove[adata.var_names == "Bc1"] = True
keep = np.invert(remove)
print(sum(remove))

adata = adata[:,keep]

print(adata.n_obs, adata.n_vars)

22
5749 32263

3 Analysis

We will proceed with the data in a very similar manner to scRNA-seq data.

As we have two sections, we will select variable genes with batch_key=“library_id” and then take the union of variable genes for further analysis. The idea is to avoid including batch specific genes in the analysis.

# save the counts to a separate object for later, we need the normalized counts in raw for DEG dete
counts_adata = adata.copy()

sc.pp.normalize_total(adata, inplace=True)
sc.pp.log1p(adata)
# take 1500 variable genes per batch and then use the union of them.
sc.pp.highly_variable_genes(adata, flavor="seurat", n_top_genes=1500, inplace=True, batch_key="library_id")

# subset for variable genes
adata.raw = adata
adata = adata[:,adata.var.highly_variable_nbatches > 0]

# scale data
sc.pp.scale(adata)

normalizing counts per cell
    finished (0:00:00)
If you pass `n_top_genes`, all cutoffs are ignored.
extracting highly variable genes
    finished (0:00:02)
--> added
    'highly_variable', boolean vector (adata.var)
    'means', float vector (adata.var)
    'dispersions', float vector (adata.var)
    'dispersions_norm', float vector (adata.var)
... as `zero_center=True`, sparse input is densified and may lead to large memory consumption

Now we can plot gene expression of individual genes, the gene Hpca is a strong hippocampal marker and Ttr is a marker of the choroid plexus.

for library in library_names:
    sc.pl.spatial(adata[adata.obs.library_id == library,:], library_id=library, color = ["Ttr", "Hpca"])

3.1 Dimensionality reduction and clustering

We can then now run dimensionality reduction and clustering using the same workflow as we use for scRNA-seq analysis.

sc.pp.neighbors(adata)
sc.tl.umap(adata)
sc.tl.leiden(adata, key_added="clusters")

computing neighbors
WARNING: You’re trying to run this on 2405 dimensions of `.X`, if you really want this, set `use_rep='X'`.
         Falling back to preprocessing with `sc.pp.pca` and default params.
computing PCA
    with n_comps=50
    finished (0:00:03)
    finished: added to `.uns['neighbors']`
    `.obsp['distances']`, distances for each pair of neighbors
    `.obsp['connectivities']`, weighted adjacency matrix (0:00:16)
computing UMAP
    finished: added
    'X_umap', UMAP coordinates (adata.obsm) (0:00:08)
running Leiden clustering
    finished: found 23 clusters and added
    'clusters', the cluster labels (adata.obs, categorical) (0:00:01)

We can then plot clusters onto umap or onto the tissue section.

sc.pl.umap(
    adata, color=["clusters", "library_id"], palette=sc.pl.palettes.default_20
)

WARNING: Length of palette colors is smaller than the number of categories (palette length: 20, categories length: 23. Some categories will have the same color.

As we are plotting the two sections separately, we need to make sure that they get the same colors by fetching cluster colors from a dict.

clusters_colors = dict(
    zip([str(i) for i in range(len(adata.obs.clusters.cat.categories))], adata.uns["clusters_colors"])
)

fig, axs = plt.subplots(1, 2, figsize=(15, 10))

for i, library in enumerate(
    ["V1_Mouse_Brain_Sagittal_Anterior", "V1_Mouse_Brain_Sagittal_Posterior"]
):
    ad = adata[adata.obs.library_id == library, :].copy()
    sc.pl.spatial(
        ad,
        img_key="hires",
        library_id=library,
        color="clusters",
        size=1.5,
        palette=[
            v
            for k, v in clusters_colors.items()
            if k in ad.obs.clusters.unique().tolist()
        ],
        legend_loc=None,
        show=False,
        ax=axs[i],
    )

plt.tight_layout()

3.2 Integration

Quite often, there are strong batch effects between different ST sections, so it may be a good idea to integrate the data across sections.

We will do a similar integration as in the Data Integration lab, here we will use Scanorama for integration.

adatas = {}
for batch in library_names:
    adatas[batch] = adata[adata.obs['library_id'] == batch,]

adatas 

{'V1_Mouse_Brain_Sagittal_Anterior': View of AnnData object with n_obs × n_vars = 2597 × 2405
     obs: 'in_tissue', 'array_row', 'array_col', 'library_id', 'n_genes_by_counts', 'total_counts', 'total_counts_mt', 'pct_counts_mt', 'total_counts_hb', 'pct_counts_hb', 'clusters'
     var: 'gene_ids', 'feature_types', 'genome', 'mt', 'hb', 'n_cells_by_counts', 'mean_counts', 'pct_dropout_by_counts', 'total_counts', 'highly_variable', 'means', 'dispersions', 'dispersions_norm', 'highly_variable_nbatches', 'highly_variable_intersection', 'mean', 'std'
     uns: 'spatial', 'library_id_colors', 'log1p', 'hvg', 'neighbors', 'umap', 'leiden', 'clusters_colors'
     obsm: 'spatial', 'X_pca', 'X_umap'
     obsp: 'distances', 'connectivities',
 'V1_Mouse_Brain_Sagittal_Posterior': View of AnnData object with n_obs × n_vars = 3152 × 2405
     obs: 'in_tissue', 'array_row', 'array_col', 'library_id', 'n_genes_by_counts', 'total_counts', 'total_counts_mt', 'pct_counts_mt', 'total_counts_hb', 'pct_counts_hb', 'clusters'
     var: 'gene_ids', 'feature_types', 'genome', 'mt', 'hb', 'n_cells_by_counts', 'mean_counts', 'pct_dropout_by_counts', 'total_counts', 'highly_variable', 'means', 'dispersions', 'dispersions_norm', 'highly_variable_nbatches', 'highly_variable_intersection', 'mean', 'std'
     uns: 'spatial', 'library_id_colors', 'log1p', 'hvg', 'neighbors', 'umap', 'leiden', 'clusters_colors'
     obsm: 'spatial', 'X_pca', 'X_umap'
     obsp: 'distances', 'connectivities'}

import scanorama

#convert to list of AnnData objects
adatas = list(adatas.values())

# run scanorama.integrate
scanorama.integrate_scanpy(adatas, dimred = 50)

# Get all the integrated matrices.
scanorama_int = [ad.obsm['X_scanorama'] for ad in adatas]

# make into one matrix.
all_s = np.concatenate(scanorama_int)
print(all_s.shape)

# add to the AnnData object
adata.obsm["Scanorama"] = all_s

adata

Found 2405 genes among all datasets
[[0.         0.47824413]
 [0.         0.        ]]
Processing datasets (0, 1)
(5749, 50)

AnnData object with n_obs × n_vars = 5749 × 2405
    obs: 'in_tissue', 'array_row', 'array_col', 'library_id', 'n_genes_by_counts', 'total_counts', 'total_counts_mt', 'pct_counts_mt', 'total_counts_hb', 'pct_counts_hb', 'clusters'
    var: 'gene_ids', 'feature_types', 'genome', 'mt', 'hb', 'n_cells_by_counts', 'mean_counts', 'pct_dropout_by_counts', 'total_counts', 'highly_variable', 'means', 'dispersions', 'dispersions_norm', 'highly_variable_nbatches', 'highly_variable_intersection', 'mean', 'std'
    uns: 'spatial', 'library_id_colors', 'log1p', 'hvg', 'neighbors', 'umap', 'leiden', 'clusters_colors'
    obsm: 'spatial', 'X_pca', 'X_umap', 'Scanorama'
    obsp: 'distances', 'connectivities'

Then we run dimensionality reduction and clustering as before.

sc.pp.neighbors(adata, use_rep="Scanorama")
sc.tl.umap(adata)
sc.tl.leiden(adata, key_added="clusters")

sc.pl.umap(
    adata, color=["clusters", "library_id"], palette=sc.pl.palettes.default_20
)

computing neighbors
    finished: added to `.uns['neighbors']`
    `.obsp['distances']`, distances for each pair of neighbors
    `.obsp['connectivities']`, weighted adjacency matrix (0:00:00)
computing UMAP
    finished: added
    'X_umap', UMAP coordinates (adata.obsm) (0:00:08)
running Leiden clustering
    finished: found 19 clusters and added
    'clusters', the cluster labels (adata.obs, categorical) (0:00:02)

As we have new clusters, we again need to make a new dict for cluster colors

clusters_colors = dict(
    zip([str(i) for i in range(len(adata.obs.clusters.cat.categories))], adata.uns["clusters_colors"])
)

fig, axs = plt.subplots(1, 2, figsize=(15, 10))

for i, library in enumerate(
    ["V1_Mouse_Brain_Sagittal_Anterior", "V1_Mouse_Brain_Sagittal_Posterior"]
):
    ad = adata[adata.obs.library_id == library, :].copy()
    sc.pl.spatial(
        ad,
        img_key="hires",
        library_id=library,
        color="clusters",
        size=1.5,
        palette=[
            v
            for k, v in clusters_colors.items()
            if k in ad.obs.clusters.unique().tolist()
        ],
        legend_loc=None,
        show=False,
        ax=axs[i],
    )

plt.tight_layout()

Discuss

Do you see any differences between the integrated and non-integrated clustering? Judge for yourself, which of the clusterings do you think looks best? As a reference, you can compare to brain regions in the Allen brain atlas.

3.3 Spatially Variable Features

There are two main workflows to identify molecular features that correlate with spatial location within a tissue. The first is to perform differential expression based on spatially distinct clusters, the other is to find features that have spatial patterning without taking clusters or spatial annotation into account. First, we will do differential expression between clusters just as we did for the scRNAseq data before.

# run t-test 
sc.tl.rank_genes_groups(adata, "clusters", method="wilcoxon")
# plot as heatmap for cluster5 genes
sc.pl.rank_genes_groups_heatmap(adata, groups="5", n_genes=10, groupby="clusters")

ranking genes
    finished: added to `.uns['rank_genes_groups']`
    'names', sorted np.recarray to be indexed by group ids
    'scores', sorted np.recarray to be indexed by group ids
    'logfoldchanges', sorted np.recarray to be indexed by group ids
    'pvals', sorted np.recarray to be indexed by group ids
    'pvals_adj', sorted np.recarray to be indexed by group ids (0:00:14)
WARNING: dendrogram data not found (using key=dendrogram_clusters). Running `sc.tl.dendrogram` with default parameters. For fine tuning it is recommended to run `sc.tl.dendrogram` independently.
    using 'X_pca' with n_pcs = 50
Storing dendrogram info using `.uns['dendrogram_clusters']`
WARNING: Groups are not reordered because the `groupby` categories and the `var_group_labels` are different.
categories: 0, 1, 2, etc.
var_group_labels: 5

# plot onto spatial location
top_genes = sc.get.rank_genes_groups_df(adata, group='5',log2fc_min=0)['names'][:3]

for library in ["V1_Mouse_Brain_Sagittal_Anterior", "V1_Mouse_Brain_Sagittal_Posterior"]:
    sc.pl.spatial(adata[adata.obs.library_id == library,:], library_id=library, color = top_genes)

Spatial transcriptomics allows researchers to investigate how gene expression trends varies in space, thus identifying spatial patterns of gene expression. For this purpose there are multiple methods, such as SpatailDE, SPARK, Trendsceek, HMRF and Splotch.

We use SpatialDE Svensson et al., a Gaussian process-based statistical framework that aims to identify spatially variable genes.

Caution

This is a slow compute intensive step, we will not run this now and instead use a pre-computed file in the step below.

# this code is not executed

if not fetch_data:
    import NaiveDE
    import SpatialDE

    counts = sc.get.obs_df(adata, keys=list(adata.var_names), use_raw=True)
    total_counts = sc.get.obs_df(adata, keys=["total_counts"])
    norm_expr = NaiveDE.stabilize(counts.T).T
    resid_expr = NaiveDE.regress_out(
        total_counts, norm_expr.T, "np.log(total_counts)").T
    results = SpatialDE.run(adata.obsm["spatial"], resid_expr)

    import pickle
    with open('data/spatial/visium/scanpy_spatialde.pkl', 'wb') as file:
        pickle.dump(results, file)

Download precomputed file.

path_file = "data/spatial/visium/scanpy_spatialde.pkl"
if fetch_data and not os.path.exists(path_file):
    import urllib.request
    file_url = os.path.join(
        path_data, "spatial/visium/results/scanpy_spatialde.pkl")
    urllib.request.urlretrieve(file_url, path_file)

import pickle
with open('data/spatial/visium/scanpy_spatialde.pkl', 'rb') as file:
    results = pickle.load(file)

# skip for now.

# We concatenate the results with the DataFrame of annotations of variables: `adata.var`.
results.index = results["g"]
adata.var = pd.concat(
    [adata.var, results.loc[adata.var.index.values, :]], axis=1)
adata.write_h5ad('./data/spatial/visium/adata_processed_sc.h5ad')

# Then we can inspect significant genes that varies in space and visualize them with `sc.pl.spatial` function.
results.sort_values("qval").head(10)

4 Single cell data

We can use a scRNA-seq dataset as a reference to predict the proportion of different celltypes in the Visium spots. Keep in mind that it is important to have a reference that contains all the celltypes you expect to find in your spots. Ideally it should be a scRNA-seq reference from the exact same tissue. We will use a reference scRNA-seq dataset of ~14,000 adult mouse cortical cell taxonomy from the Allen Institute, generated with the SMART-Seq2 protocol.

Conveniently, you can also download the pre-processed dataset in h5ad format.

import urllib.request
import os

path_file = "data/spatial/visium/allen_cortex.h5ad"
if not os.path.exists(path_file):
    file_url = os.path.join(
        path_data, "spatial/visium/allen_cortex.h5ad")
    urllib.request.urlretrieve(file_url, path_file)

adata_cortex = sc.read_h5ad("data/spatial/visium/allen_cortex.h5ad")
adata_cortex

AnnData object with n_obs × n_vars = 14249 × 34617
    obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'sample_id', 'sample_type', 'organism', 'donor', 'sex', 'age_days', 'eye_condition', 'genotype', 'driver_lines', 'reporter_lines', 'brain_hemisphere', 'brain_region', 'brain_subregion', 'injection_label_direction', 'injection_primary', 'injection_secondary', 'injection_tract', 'injection_material', 'injection_exclusion_criterion', 'facs_date', 'facs_container', 'facs_sort_criteria', 'rna_amplification_set', 'library_prep_set', 'library_prep_avg_size_bp', 'seq_name', 'seq_tube', 'seq_batch', 'total_reads', 'percent_exon_reads', 'percent_intron_reads', 'percent_intergenic_reads', 'percent_rrna_reads', 'percent_mt_exon_reads', 'percent_reads_unique', 'percent_synth_reads', 'percent_ecoli_reads', 'percent_aligned_reads_total', 'complexity_cg', 'genes_detected_cpm_criterion', 'genes_detected_fpkm_criterion', 'tdt_cpm', 'gfp_cpm', 'class', 'subclass', 'cluster', 'confusion_score', 'cluster_correlation', 'core_intermediate_call'
    var: 'features'

Here is the metadata for the cell annotation:

adata_cortex.obs

	orig.ident	nCount_RNA	nFeature_RNA	sample_id	sample_type	organism	donor	sex	age_days	eye_condition	...	genes_detected_cpm_criterion	genes_detected_fpkm_criterion	tdt_cpm	gfp_cpm	class	subclass	cluster	confusion_score	cluster_correlation	core_intermediate_call
F1S4_160108_001_A01	0	1730700.0	9029	527128530	Cells	Mus musculus	225675	M	53	Normal	...	10445	9222	248.86	248.86	GABAergic	Vip	Vip Arhgap36 Hmcn1	0.4385	0.837229	Intermediate
F1S4_160108_001_B01	0	1909605.0	10207	527128536	Cells	Mus musculus	225675	M	53	Normal	...	11600	10370	289.61	289.61	GABAergic	Lamp5	Lamp5 Lsp1	0.1025	0.878743	Core
F1S4_160108_001_C01	0	1984948.0	10578	527128542	Cells	Mus musculus	225675	M	53	Normal	...	11848	10734	281.06	281.06	GABAergic	Lamp5	Lamp5 Lsp1	0.0195	0.887084	Core
F1S4_160108_001_D01	0	2291552.0	8482	527128548	Cells	Mus musculus	225675	M	53	Normal	...	9494	8561	390.02	390.02	GABAergic	Vip	Vip Crispld2 Htr2c	0.2734	0.843552	Core
F1S4_160108_001_E01	0	1757463.0	8697	527128554	Cells	Mus musculus	225675	M	53	Normal	...	10012	8791	253.92	253.92	GABAergic	Lamp5	Lamp5 Plch2 Dock5	0.7532	0.854994	Core
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
FYS4_171004_104_C01	2	949356.0	9141	645142562	Cells	Mus musculus	350650	M	51	Normal	...	9629	9229	432.15	432.15	Glutamatergic	L5 PT	L5 PT VISp C1ql2 Cdh13	0.0477	0.885255	Core
FYS4_171004_104_D01	2	998736.0	6927	645142573	Cells	Mus musculus	350650	M	51	Normal	...	7701	7023	217.83	217.83	GABAergic	Sst	Sst Hpse Sema3c	0.1064	0.854499	Core
FYS4_171004_104_F01	2	1002766.0	6936	645142613	Cells	Mus musculus	350650	M	51	Normal	...	7888	7054	91.88	91.88	Glutamatergic	L5 PT	L5 PT VISp Chrna6	0.0095	0.822625	Core
FYS4_171004_104_G01	2	1025804.0	8027	645142648	Cells	Mus musculus	350650	M	51	Normal	...	8933	8146	127.77	127.77	GABAergic	Sst	Sst Calb2 Pdlim5	0.2852	0.856322	Core
FYS4_171004_104_H01	2	882435.0	6574	645142673	Cells	Mus musculus	350650	M	51	Normal	...	7393	6687	310.17	310.17	GABAergic	Pvalb	Pvalb Reln Tac1	0.6089	0.799198	Core

14249 rows × 52 columns

There is an issue with the raw matrix in this object that the gene names are not in the index, so we will put them back in.

adata_cortex.raw.var.index = adata_cortex.raw.var._index
adata_cortex.raw.var

	_index
_index
0610005C13Rik	0610005C13Rik
0610006L08Rik	0610006L08Rik
0610007P14Rik	0610007P14Rik
0610009B22Rik	0610009B22Rik
0610009E02Rik	0610009E02Rik
...	...
Zzef1	Zzef1
Zzz3	Zzz3
a	a
l7Rn6	l7Rn6
n-R5s136	n-R5s136

34617 rows × 1 columns

Then we run the regular pipline with normalization and dimensionality reduction.

sc.pp.normalize_total(adata_cortex, target_sum=1e5)
sc.pp.log1p(adata_cortex)
sc.pp.highly_variable_genes(adata_cortex, min_mean=0.0125, max_mean=3, min_disp=0.5)
sc.pp.scale(adata_cortex, max_value=10)
sc.tl.pca(adata_cortex, svd_solver='arpack')
sc.pp.neighbors(adata_cortex, n_pcs=30)
sc.tl.umap(adata_cortex)
sc.pl.umap(adata_cortex, color="subclass", legend_loc='on data')

normalizing counts per cell
    finished (0:00:00)
extracting highly variable genes
    finished (0:00:03)
--> added
    'highly_variable', boolean vector (adata.var)
    'means', float vector (adata.var)
    'dispersions', float vector (adata.var)
    'dispersions_norm', float vector (adata.var)
... as `zero_center=True`, sparse input is densified and may lead to large memory consumption
computing PCA
    on highly variable genes
    with n_comps=50
    finished (0:00:16)
computing neighbors
    using 'X_pca' with n_pcs = 30
    finished: added to `.uns['neighbors']`
    `.obsp['distances']`, distances for each pair of neighbors
    `.obsp['connectivities']`, weighted adjacency matrix (0:00:18)
computing UMAP
    finished: added
    'X_umap', UMAP coordinates (adata.obsm) (0:00:11)

adata_cortex.obs.subclass.value_counts()

subclass
L6 IT         1872
Sst           1741
Vip           1728
L4            1401
Pvalb         1337
Lamp5         1122
L2/3 IT        982
L6 CT          960
L5 IT          880
L5 PT          544
Astro          368
NP             362
L6b            358
Sncg           125
Endo            94
Oligo           91
VLMC            67
SMC             55
Macrophage      51
Meis2           45
Peri            32
Serpinf1        27
CR               7
Name: count, dtype: int64

For speed, and for a more fair comparison of the celltypes, we will subsample all celltypes to a maximum of 200 cells per class (subclass).

target_cells = 200

adatas2 = [adata_cortex[adata_cortex.obs.subclass == clust] for clust in adata_cortex.obs.subclass.cat.categories]

for dat in adatas2:
    if dat.n_obs > target_cells:
          sc.pp.subsample(dat, n_obs=target_cells)

adata_cortex = adatas2[0].concatenate(*adatas2[1:])

adata_cortex.obs.subclass.value_counts()

subclass
Astro         200
L6 IT         200
Sst           200
Pvalb         200
NP            200
Lamp5         200
L6b           200
Vip           200
L6 CT         200
L5 PT         200
L5 IT         200
L4            200
L2/3 IT       200
Sncg          125
Endo           94
Oligo          91
VLMC           67
SMC            55
Macrophage     51
Meis2          45
Peri           32
Serpinf1       27
CR              7
Name: count, dtype: int64

sc.pl.umap(
    adata_cortex, color=["class", "subclass", "genotype", "brain_region"], palette=sc.pl.palettes.default_28
)

WARNING: Length of palette colors is smaller than the number of categories (palette length: 28, categories length: 61. Some categories will have the same color.

sc.pl.umap(adata_cortex, color="subclass", legend_loc = 'on data')

5 Subset ST for cortex

Since the scRNAseq dataset was generated from the mouse cortex, we will subset the visium dataset in order to select mainly the spots part of the cortex. Note that the integration can also be performed on the whole brain slice, but it would give rise to false positive cell type assignments and therefore it should be interpreted with more care.

For deconvolution we will need the counts data, so we will subset from the counts_adata object that we created earlier.

lib_a = "V1_Mouse_Brain_Sagittal_Anterior"

counts_adata.obs['clusters'] = adata.obs.clusters

adata_anterior_subset = counts_adata[
    (counts_adata.obs.library_id == lib_a) 
    & (counts_adata.obsm["spatial"][:, 1] < 6000), :
].copy()

# select also the cortex clusters
adata_anterior_subset = adata_anterior_subset[adata_anterior_subset.obs.clusters.isin(['3','5','6']),:]

# plot to check that we have the correct regions

sc.pl.spatial(
    adata_anterior_subset,
    img_key="hires",
    library_id = lib_a,
    color=['clusters'],
    size=1.5
)

6 Deconvolution

Deconvolution is a method to estimate the abundance (or proportion) of different celltypes in a bulkRNAseq dataset using a single cell reference. As the Visium data can be seen as a small bulk, we can both use methods for traditional bulkRNAseq as well as methods especially developed for Visium data. Some methods for deconvolution are DWLS, cell2location, Tangram, Stereoscope, RCTD, SCDC and many more.

Here, we will use deconvolution with Stereoscope implemented in the SCVI-tools package. To read more about Stereoscope please check out this github page (https://github.com/almaan/stereoscope)

6.1 Select genes for deconvolution

Most deconvolution methods does a prior gene selection and there are different options that are used: - Use variable genes in the SC data. - Use variable genes in both SC and ST data - DE genes between clusters in the SC data.
In this case we will use top DE genes per cluster, so first we have to run DGE detection on the scRNAseq data.

sc.tl.rank_genes_groups(adata_cortex, 'subclass', method = "t-test", n_genes=100, use_raw=False)
sc.pl.rank_genes_groups_dotplot(adata_cortex, n_genes=3)

ranking genes
    finished: added to `.uns['rank_genes_groups']`
    'names', sorted np.recarray to be indexed by group ids
    'scores', sorted np.recarray to be indexed by group ids
    'logfoldchanges', sorted np.recarray to be indexed by group ids
    'pvals', sorted np.recarray to be indexed by group ids
    'pvals_adj', sorted np.recarray to be indexed by group ids (0:00:09)
WARNING: dendrogram data not found (using key=dendrogram_subclass). Running `sc.tl.dendrogram` with default parameters. For fine tuning it is recommended to run `sc.tl.dendrogram` independently.
    using 'X_pca' with n_pcs = 50
Storing dendrogram info using `.uns['dendrogram_subclass']`

sc.tl.filter_rank_genes_groups(adata_cortex, min_fold_change=1)

genes = sc.get.rank_genes_groups_df(adata_cortex, group = None)
genes

Filtering genes using: min_in_group_fraction: 0.25 min_fold_change: 1, max_out_group_fraction: 0.5

	group	names	scores	logfoldchanges	pvals	pvals_adj
0	Astro	Slc1a3	160.842041	NaN	3.174856e-300	2.358455e-298
1	Astro	Ntsr2	150.887924	NaN	1.097071e-231	6.056987e-230
2	Astro	Atp1a2	138.091385	11.185134	0.000000e+00	0.000000e+00
3	Astro	Aldoc	131.687424	NaN	0.000000e+00	0.000000e+00
4	Astro	Apoe	124.696922	9.052421	0.000000e+00	0.000000e+00
...	...	...	...	...	...	...
2295	Vip	Srrm4	18.501577	NaN	2.355896e-47	1.812313e-45
2296	Vip	Dlx1as	18.485483	NaN	7.043876e-47	5.347322e-45
2297	Vip	Aplp2	18.252756	NaN	1.859496e-52	1.671953e-50
2298	Vip	Rit2	18.057701	NaN	1.506046e-48	1.201263e-46
2299	Vip	Rab3a	17.847469	NaN	4.922345e-66	6.788718e-64

2300 rows × 6 columns

deg = genes.names.unique().tolist()
print(len(deg))
# check that the genes are also present in the ST data

deg = np.intersect1d(deg,adata_anterior_subset.var.index).tolist()
print(len(deg))

1388
1307

6.2 Train the model

First, train the model using scRNAseq data.

Stereoscope requires the data to be in counts, earlier in this tutorial we saved the spatial counts in a separate object counts_adata.

In the single cell data we have the raw counts in the raw.X matrix so that one will be used. So here we create a new object with all the correct slots for scVI.

sc_adata = adata_cortex.copy()
sc_adata.X = adata_cortex.raw.X.copy()

Setup the anndata, the implementation requires the counts matrix to be in the “counts” layer as a copy.

import scvi
# from scvi.data import register_tensor_from_anndata
from scvi.external import RNAStereoscope, SpatialStereoscope

# add counts layer
sc_adata.layers["counts"] = sc_adata.X.copy()

# subset for the selected genes
sc_adata = sc_adata[:, deg].copy()

# create stereoscope object
RNAStereoscope.setup_anndata(sc_adata, layer="counts", labels_key="subclass")

# the model is saved to a file, so if is slow to run, you can simply reload it from disk by setting train = False

train = True
if train:
    sc_model = RNAStereoscope(sc_adata)
    sc_model.train(max_epochs=300)
    sc_model.history["elbo_train"][10:].plot()
    sc_model.save("./data/spatial/visium/scanpy_scmodel", overwrite=True)
else:
    sc_model = RNAStereoscope.load("./data/spatial/visium/scanpy_scmodel", sc_adata)
    print("Loaded RNA model from file!")

Training:   0%|          | 0/300 [00:00<?, ?it/s]Epoch 1/300:   0%|          | 0/300 [00:00<?, ?it/s]Epoch 1/300:   0%|          | 1/300 [00:00<01:24,  3.54it/s]Epoch 1/300:   0%|          | 1/300 [00:00<01:24,  3.54it/s, v_num=1, train_loss_step=3.84e+10, train_loss_epoch=4.64e+10]Epoch 2/300:   0%|          | 1/300 [00:00<01:24,  3.54it/s, v_num=1, train_loss_step=3.84e+10, train_loss_epoch=4.64e+10]Epoch 2/300:   1%|          | 2/300 [00:00<01:21,  3.64it/s, v_num=1, train_loss_step=3.84e+10, train_loss_epoch=4.64e+10]Epoch 2/300:   1%|          | 2/300 [00:00<01:21,  3.64it/s, v_num=1, train_loss_step=2.78e+10, train_loss_epoch=3.44e+10]Epoch 3/300:   1%|          | 2/300 [00:00<01:21,  3.64it/s, v_num=1, train_loss_step=2.78e+10, train_loss_epoch=3.44e+10]Epoch 3/300:   1%|          | 3/300 [00:00<01:20,  3.70it/s, v_num=1, train_loss_step=2.78e+10, train_loss_epoch=3.44e+10]Epoch 3/300:   1%|          | 3/300 [00:00<01:20,  3.70it/s, v_num=1, train_loss_step=2.27e+10, train_loss_epoch=2.61e+10]Epoch 4/300:   1%|          | 3/300 [00:00<01:20,  3.70it/s, v_num=1, train_loss_step=2.27e+10, train_loss_epoch=2.61e+10]Epoch 4/300:   1%|▏         | 4/300 [00:01<01:19,  3.71it/s, v_num=1, train_loss_step=2.27e+10, train_loss_epoch=2.61e+10]Epoch 4/300:   1%|▏         | 4/300 [00:01<01:19,  3.71it/s, v_num=1, train_loss_step=1.72e+10, train_loss_epoch=2.02e+10]Epoch 5/300:   1%|▏         | 4/300 [00:01<01:19,  3.71it/s, v_num=1, train_loss_step=1.72e+10, train_loss_epoch=2.02e+10]Epoch 5/300:   2%|▏         | 5/300 [00:01<01:19,  3.70it/s, v_num=1, train_loss_step=1.72e+10, train_loss_epoch=2.02e+10]Epoch 5/300:   2%|▏         | 5/300 [00:01<01:19,  3.70it/s, v_num=1, train_loss_step=1.34e+10, train_loss_epoch=1.6e+10] Epoch 6/300:   2%|▏         | 5/300 [00:01<01:19,  3.70it/s, v_num=1, train_loss_step=1.34e+10, train_loss_epoch=1.6e+10]Epoch 6/300:   2%|▏         | 6/300 [00:01<01:19,  3.69it/s, v_num=1, train_loss_step=1.34e+10, train_loss_epoch=1.6e+10]Epoch 6/300:   2%|▏         | 6/300 [00:01<01:19,  3.69it/s, v_num=1, train_loss_step=1.06e+10, train_loss_epoch=1.3e+10]Epoch 7/300:   2%|▏         | 6/300 [00:01<01:19,  3.69it/s, v_num=1, train_loss_step=1.06e+10, train_loss_epoch=1.3e+10]Epoch 7/300:   2%|▏         | 7/300 [00:01<01:18,  3.74it/s, v_num=1, train_loss_step=1.06e+10, train_loss_epoch=1.3e+10]Epoch 7/300:   2%|▏         | 7/300 [00:01<01:18,  3.74it/s, v_num=1, train_loss_step=9.05e+9, train_loss_epoch=1.07e+10]Epoch 8/300:   2%|▏         | 7/300 [00:01<01:18,  3.74it/s, v_num=1, train_loss_step=9.05e+9, train_loss_epoch=1.07e+10]Epoch 8/300:   3%|▎         | 8/300 [00:02<01:18,  3.74it/s, v_num=1, train_loss_step=9.05e+9, train_loss_epoch=1.07e+10]Epoch 8/300:   3%|▎         | 8/300 [00:02<01:18,  3.74it/s, v_num=1, train_loss_step=7.03e+9, train_loss_epoch=8.91e+9] Epoch 9/300:   3%|▎         | 8/300 [00:02<01:18,  3.74it/s, v_num=1, train_loss_step=7.03e+9, train_loss_epoch=8.91e+9]Epoch 9/300:   3%|▎         | 9/300 [00:02<01:18,  3.71it/s, v_num=1, train_loss_step=7.03e+9, train_loss_epoch=8.91e+9]Epoch 9/300:   3%|▎         | 9/300 [00:02<01:18,  3.71it/s, v_num=1, train_loss_step=6.47e+9, train_loss_epoch=7.54e+9]Epoch 10/300:   3%|▎         | 9/300 [00:02<01:18,  3.71it/s, v_num=1, train_loss_step=6.47e+9, train_loss_epoch=7.54e+9]Epoch 10/300:   3%|▎         | 10/300 [00:02<01:24,  3.43it/s, v_num=1, train_loss_step=6.47e+9, train_loss_epoch=7.54e+9]Epoch 10/300:   3%|▎         | 10/300 [00:02<01:24,  3.43it/s, v_num=1, train_loss_step=5.5e+9, train_loss_epoch=6.45e+9] Epoch 11/300:   3%|▎         | 10/300 [00:02<01:24,  3.43it/s, v_num=1, train_loss_step=5.5e+9, train_loss_epoch=6.45e+9]Epoch 11/300:   4%|▎         | 11/300 [00:03<01:22,  3.51it/s, v_num=1, train_loss_step=5.5e+9, train_loss_epoch=6.45e+9]Epoch 11/300:   4%|▎         | 11/300 [00:03<01:22,  3.51it/s, v_num=1, train_loss_step=4.97e+9, train_loss_epoch=5.58e+9]Epoch 12/300:   4%|▎         | 11/300 [00:03<01:22,  3.51it/s, v_num=1, train_loss_step=4.97e+9, train_loss_epoch=5.58e+9]Epoch 12/300:   4%|▍         | 12/300 [00:03<01:20,  3.59it/s, v_num=1, train_loss_step=4.97e+9, train_loss_epoch=5.58e+9]Epoch 12/300:   4%|▍         | 12/300 [00:03<01:20,  3.59it/s, v_num=1, train_loss_step=4.38e+9, train_loss_epoch=4.87e+9]Epoch 13/300:   4%|▍         | 12/300 [00:03<01:20,  3.59it/s, v_num=1, train_loss_step=4.38e+9, train_loss_epoch=4.87e+9]Epoch 13/300:   4%|▍         | 13/300 [00:03<01:19,  3.63it/s, v_num=1, train_loss_step=4.38e+9, train_loss_epoch=4.87e+9]Epoch 13/300:   4%|▍         | 13/300 [00:03<01:19,  3.63it/s, v_num=1, train_loss_step=3.69e+9, train_loss_epoch=4.29e+9]Epoch 14/300:   4%|▍         | 13/300 [00:03<01:19,  3.63it/s, v_num=1, train_loss_step=3.69e+9, train_loss_epoch=4.29e+9]Epoch 14/300:   5%|▍         | 14/300 [00:03<01:18,  3.65it/s, v_num=1, train_loss_step=3.69e+9, train_loss_epoch=4.29e+9]Epoch 14/300:   5%|▍         | 14/300 [00:03<01:18,  3.65it/s, v_num=1, train_loss_step=3.35e+9, train_loss_epoch=3.8e+9] Epoch 15/300:   5%|▍         | 14/300 [00:03<01:18,  3.65it/s, v_num=1, train_loss_step=3.35e+9, train_loss_epoch=3.8e+9]Epoch 15/300:   5%|▌         | 15/300 [00:04<01:17,  3.67it/s, v_num=1, train_loss_step=3.35e+9, train_loss_epoch=3.8e+9]Epoch 15/300:   5%|▌         | 15/300 [00:04<01:17,  3.67it/s, v_num=1, train_loss_step=3.12e+9, train_loss_epoch=3.39e+9]Epoch 16/300:   5%|▌         | 15/300 [00:04<01:17,  3.67it/s, v_num=1, train_loss_step=3.12e+9, train_loss_epoch=3.39e+9]Epoch 16/300:   5%|▌         | 16/300 [00:04<01:17,  3.69it/s, v_num=1, train_loss_step=3.12e+9, train_loss_epoch=3.39e+9]Epoch 16/300:   5%|▌         | 16/300 [00:04<01:17,  3.69it/s, v_num=1, train_loss_step=2.98e+9, train_loss_epoch=3.04e+9]Epoch 17/300:   5%|▌         | 16/300 [00:04<01:17,  3.69it/s, v_num=1, train_loss_step=2.98e+9, train_loss_epoch=3.04e+9]Epoch 17/300:   6%|▌         | 17/300 [00:04<01:16,  3.71it/s, v_num=1, train_loss_step=2.98e+9, train_loss_epoch=3.04e+9]Epoch 17/300:   6%|▌         | 17/300 [00:04<01:16,  3.71it/s, v_num=1, train_loss_step=2.49e+9, train_loss_epoch=2.74e+9]Epoch 18/300:   6%|▌         | 17/300 [00:04<01:16,  3.71it/s, v_num=1, train_loss_step=2.49e+9, train_loss_epoch=2.74e+9]Epoch 18/300:   6%|▌         | 18/300 [00:04<01:16,  3.69it/s, v_num=1, train_loss_step=2.49e+9, train_loss_epoch=2.74e+9]Epoch 18/300:   6%|▌         | 18/300 [00:04<01:16,  3.69it/s, v_num=1, train_loss_step=2.19e+9, train_loss_epoch=2.49e+9]Epoch 19/300:   6%|▌         | 18/300 [00:04<01:16,  3.69it/s, v_num=1, train_loss_step=2.19e+9, train_loss_epoch=2.49e+9]Epoch 19/300:   6%|▋         | 19/300 [00:05<01:15,  3.70it/s, v_num=1, train_loss_step=2.19e+9, train_loss_epoch=2.49e+9]Epoch 19/300:   6%|▋         | 19/300 [00:05<01:15,  3.70it/s, v_num=1, train_loss_step=2.1e+9, train_loss_epoch=2.27e+9] Epoch 20/300:   6%|▋         | 19/300 [00:05<01:15,  3.70it/s, v_num=1, train_loss_step=2.1e+9, train_loss_epoch=2.27e+9]Epoch 20/300:   7%|▋         | 20/300 [00:05<01:15,  3.71it/s, v_num=1, train_loss_step=2.1e+9, train_loss_epoch=2.27e+9]Epoch 20/300:   7%|▋         | 20/300 [00:05<01:15,  3.71it/s, v_num=1, train_loss_step=1.8e+9, train_loss_epoch=2.07e+9]Epoch 21/300:   7%|▋         | 20/300 [00:05<01:15,  3.71it/s, v_num=1, train_loss_step=1.8e+9, train_loss_epoch=2.07e+9]Epoch 21/300:   7%|▋         | 21/300 [00:05<01:15,  3.70it/s, v_num=1, train_loss_step=1.8e+9, train_loss_epoch=2.07e+9]Epoch 21/300:   7%|▋         | 21/300 [00:05<01:15,  3.70it/s, v_num=1, train_loss_step=1.7e+9, train_loss_epoch=1.9e+9] Epoch 22/300:   7%|▋         | 21/300 [00:05<01:15,  3.70it/s, v_num=1, train_loss_step=1.7e+9, train_loss_epoch=1.9e+9]Epoch 22/300:   7%|▋         | 22/300 [00:06<01:15,  3.69it/s, v_num=1, train_loss_step=1.7e+9, train_loss_epoch=1.9e+9]Epoch 22/300:   7%|▋         | 22/300 [00:06<01:15,  3.69it/s, v_num=1, train_loss_step=1.57e+9, train_loss_epoch=1.75e+9]Epoch 23/300:   7%|▋         | 22/300 [00:06<01:15,  3.69it/s, v_num=1, train_loss_step=1.57e+9, train_loss_epoch=1.75e+9]Epoch 23/300:   8%|▊         | 23/300 [00:06<01:15,  3.67it/s, v_num=1, train_loss_step=1.57e+9, train_loss_epoch=1.75e+9]Epoch 23/300:   8%|▊         | 23/300 [00:06<01:15,  3.67it/s, v_num=1, train_loss_step=1.5e+9, train_loss_epoch=1.62e+9] Epoch 24/300:   8%|▊         | 23/300 [00:06<01:15,  3.67it/s, v_num=1, train_loss_step=1.5e+9, train_loss_epoch=1.62e+9]Epoch 24/300:   8%|▊         | 24/300 [00:06<01:16,  3.63it/s, v_num=1, train_loss_step=1.5e+9, train_loss_epoch=1.62e+9]Epoch 24/300:   8%|▊         | 24/300 [00:06<01:16,  3.63it/s, v_num=1, train_loss_step=1.39e+9, train_loss_epoch=1.5e+9]Epoch 25/300:   8%|▊         | 24/300 [00:06<01:16,  3.63it/s, v_num=1, train_loss_step=1.39e+9, train_loss_epoch=1.5e+9]Epoch 25/300:   8%|▊         | 25/300 [00:06<01:17,  3.56it/s, v_num=1, train_loss_step=1.39e+9, train_loss_epoch=1.5e+9]Epoch 25/300:   8%|▊         | 25/300 [00:06<01:17,  3.56it/s, v_num=1, train_loss_step=1.31e+9, train_loss_epoch=1.39e+9]Epoch 26/300:   8%|▊         | 25/300 [00:06<01:17,  3.56it/s, v_num=1, train_loss_step=1.31e+9, train_loss_epoch=1.39e+9]Epoch 26/300:   9%|▊         | 26/300 [00:07<01:16,  3.59it/s, v_num=1, train_loss_step=1.31e+9, train_loss_epoch=1.39e+9]Epoch 26/300:   9%|▊         | 26/300 [00:07<01:16,  3.59it/s, v_num=1, train_loss_step=1.17e+9, train_loss_epoch=1.3e+9] Epoch 27/300:   9%|▊         | 26/300 [00:07<01:16,  3.59it/s, v_num=1, train_loss_step=1.17e+9, train_loss_epoch=1.3e+9]Epoch 27/300:   9%|▉         | 27/300 [00:07<01:15,  3.60it/s, v_num=1, train_loss_step=1.17e+9, train_loss_epoch=1.3e+9]Epoch 27/300:   9%|▉         | 27/300 [00:07<01:15,  3.60it/s, v_num=1, train_loss_step=1.15e+9, train_loss_epoch=1.21e+9]Epoch 28/300:   9%|▉         | 27/300 [00:07<01:15,  3.60it/s, v_num=1, train_loss_step=1.15e+9, train_loss_epoch=1.21e+9]Epoch 28/300:   9%|▉         | 28/300 [00:07<01:14,  3.64it/s, v_num=1, train_loss_step=1.15e+9, train_loss_epoch=1.21e+9]Epoch 28/300:   9%|▉         | 28/300 [00:07<01:14,  3.64it/s, v_num=1, train_loss_step=1.03e+9, train_loss_epoch=1.13e+9]Epoch 29/300:   9%|▉         | 28/300 [00:07<01:14,  3.64it/s, v_num=1, train_loss_step=1.03e+9, train_loss_epoch=1.13e+9]Epoch 29/300:  10%|▉         | 29/300 [00:07<01:18,  3.47it/s, v_num=1, train_loss_step=1.03e+9, train_loss_epoch=1.13e+9]Epoch 29/300:  10%|▉         | 29/300 [00:07<01:18,  3.47it/s, v_num=1, train_loss_step=1.04e+9, train_loss_epoch=1.06e+9]Epoch 30/300:  10%|▉         | 29/300 [00:07<01:18,  3.47it/s, v_num=1, train_loss_step=1.04e+9, train_loss_epoch=1.06e+9]Epoch 30/300:  10%|█         | 30/300 [00:08<01:18,  3.45it/s, v_num=1, train_loss_step=1.04e+9, train_loss_epoch=1.06e+9]Epoch 30/300:  10%|█         | 30/300 [00:08<01:18,  3.45it/s, v_num=1, train_loss_step=9.26e+8, train_loss_epoch=9.98e+8]Epoch 31/300:  10%|█         | 30/300 [00:08<01:18,  3.45it/s, v_num=1, train_loss_step=9.26e+8, train_loss_epoch=9.98e+8]Epoch 31/300:  10%|█         | 31/300 [00:08<01:17,  3.49it/s, v_num=1, train_loss_step=9.26e+8, train_loss_epoch=9.98e+8]Epoch 31/300:  10%|█         | 31/300 [00:08<01:17,  3.49it/s, v_num=1, train_loss_step=9.21e+8, train_loss_epoch=9.39e+8]Epoch 32/300:  10%|█         | 31/300 [00:08<01:17,  3.49it/s, v_num=1, train_loss_step=9.21e+8, train_loss_epoch=9.39e+8]Epoch 32/300:  11%|█         | 32/300 [00:08<01:15,  3.53it/s, v_num=1, train_loss_step=9.21e+8, train_loss_epoch=9.39e+8]Epoch 32/300:  11%|█         | 32/300 [00:08<01:15,  3.53it/s, v_num=1, train_loss_step=8.56e+8, train_loss_epoch=8.85e+8]Epoch 33/300:  11%|█         | 32/300 [00:08<01:15,  3.53it/s, v_num=1, train_loss_step=8.56e+8, train_loss_epoch=8.85e+8]Epoch 33/300:  11%|█         | 33/300 [00:09<01:14,  3.58it/s, v_num=1, train_loss_step=8.56e+8, train_loss_epoch=8.85e+8]Epoch 33/300:  11%|█         | 33/300 [00:09<01:14,  3.58it/s, v_num=1, train_loss_step=7.53e+8, train_loss_epoch=8.36e+8]Epoch 34/300:  11%|█         | 33/300 [00:09<01:14,  3.58it/s, v_num=1, train_loss_step=7.53e+8, train_loss_epoch=8.36e+8]Epoch 34/300:  11%|█▏        | 34/300 [00:09<01:15,  3.53it/s, v_num=1, train_loss_step=7.53e+8, train_loss_epoch=8.36e+8]Epoch 34/300:  11%|█▏        | 34/300 [00:09<01:15,  3.53it/s, v_num=1, train_loss_step=7.56e+8, train_loss_epoch=7.9e+8] Epoch 35/300:  11%|█▏        | 34/300 [00:09<01:15,  3.53it/s, v_num=1, train_loss_step=7.56e+8, train_loss_epoch=7.9e+8]Epoch 35/300:  12%|█▏        | 35/300 [00:09<01:14,  3.55it/s, v_num=1, train_loss_step=7.56e+8, train_loss_epoch=7.9e+8]Epoch 35/300:  12%|█▏        | 35/300 [00:09<01:14,  3.55it/s, v_num=1, train_loss_step=7.21e+8, train_loss_epoch=7.48e+8]Epoch 36/300:  12%|█▏        | 35/300 [00:09<01:14,  3.55it/s, v_num=1, train_loss_step=7.21e+8, train_loss_epoch=7.48e+8]Epoch 36/300:  12%|█▏        | 36/300 [00:09<01:13,  3.60it/s, v_num=1, train_loss_step=7.21e+8, train_loss_epoch=7.48e+8]Epoch 36/300:  12%|█▏        | 36/300 [00:09<01:13,  3.60it/s, v_num=1, train_loss_step=6.46e+8, train_loss_epoch=7.09e+8]Epoch 37/300:  12%|█▏        | 36/300 [00:09<01:13,  3.60it/s, v_num=1, train_loss_step=6.46e+8, train_loss_epoch=7.09e+8]Epoch 37/300:  12%|█▏        | 37/300 [00:10<01:12,  3.61it/s, v_num=1, train_loss_step=6.46e+8, train_loss_epoch=7.09e+8]Epoch 37/300:  12%|█▏        | 37/300 [00:10<01:12,  3.61it/s, v_num=1, train_loss_step=6.44e+8, train_loss_epoch=6.73e+8]Epoch 38/300:  12%|█▏        | 37/300 [00:10<01:12,  3.61it/s, v_num=1, train_loss_step=6.44e+8, train_loss_epoch=6.73e+8]Epoch 38/300:  13%|█▎        | 38/300 [00:10<01:11,  3.65it/s, v_num=1, train_loss_step=6.44e+8, train_loss_epoch=6.73e+8]Epoch 38/300:  13%|█▎        | 38/300 [00:10<01:11,  3.65it/s, v_num=1, train_loss_step=5.71e+8, train_loss_epoch=6.4e+8] Epoch 39/300:  13%|█▎        | 38/300 [00:10<01:11,  3.65it/s, v_num=1, train_loss_step=5.71e+8, train_loss_epoch=6.4e+8]Epoch 39/300:  13%|█▎        | 39/300 [00:10<01:10,  3.69it/s, v_num=1, train_loss_step=5.71e+8, train_loss_epoch=6.4e+8]Epoch 39/300:  13%|█▎        | 39/300 [00:10<01:10,  3.69it/s, v_num=1, train_loss_step=5.77e+8, train_loss_epoch=6.09e+8]Epoch 40/300:  13%|█▎        | 39/300 [00:10<01:10,  3.69it/s, v_num=1, train_loss_step=5.77e+8, train_loss_epoch=6.09e+8]Epoch 40/300:  13%|█▎        | 40/300 [00:11<01:10,  3.68it/s, v_num=1, train_loss_step=5.77e+8, train_loss_epoch=6.09e+8]Epoch 40/300:  13%|█▎        | 40/300 [00:11<01:10,  3.68it/s, v_num=1, train_loss_step=5.22e+8, train_loss_epoch=5.8e+8] Epoch 41/300:  13%|█▎        | 40/300 [00:11<01:10,  3.68it/s, v_num=1, train_loss_step=5.22e+8, train_loss_epoch=5.8e+8]Epoch 41/300:  14%|█▎        | 41/300 [00:11<01:09,  3.71it/s, v_num=1, train_loss_step=5.22e+8, train_loss_epoch=5.8e+8]Epoch 41/300:  14%|█▎        | 41/300 [00:11<01:09,  3.71it/s, v_num=1, train_loss_step=5.05e+8, train_loss_epoch=5.54e+8]Epoch 42/300:  14%|█▎        | 41/300 [00:11<01:09,  3.71it/s, v_num=1, train_loss_step=5.05e+8, train_loss_epoch=5.54e+8]Epoch 42/300:  14%|█▍        | 42/300 [00:11<01:10,  3.65it/s, v_num=1, train_loss_step=5.05e+8, train_loss_epoch=5.54e+8]Epoch 42/300:  14%|█▍        | 42/300 [00:11<01:10,  3.65it/s, v_num=1, train_loss_step=4.95e+8, train_loss_epoch=5.28e+8]Epoch 43/300:  14%|█▍        | 42/300 [00:11<01:10,  3.65it/s, v_num=1, train_loss_step=4.95e+8, train_loss_epoch=5.28e+8]Epoch 43/300:  14%|█▍        | 43/300 [00:11<01:11,  3.58it/s, v_num=1, train_loss_step=4.95e+8, train_loss_epoch=5.28e+8]Epoch 43/300:  14%|█▍        | 43/300 [00:11<01:11,  3.58it/s, v_num=1, train_loss_step=4.62e+8, train_loss_epoch=5.05e+8]Epoch 44/300:  14%|█▍        | 43/300 [00:11<01:11,  3.58it/s, v_num=1, train_loss_step=4.62e+8, train_loss_epoch=5.05e+8]Epoch 44/300:  15%|█▍        | 44/300 [00:12<01:12,  3.51it/s, v_num=1, train_loss_step=4.62e+8, train_loss_epoch=5.05e+8]Epoch 44/300:  15%|█▍        | 44/300 [00:12<01:12,  3.51it/s, v_num=1, train_loss_step=4.71e+8, train_loss_epoch=4.83e+8]Epoch 45/300:  15%|█▍        | 44/300 [00:12<01:12,  3.51it/s, v_num=1, train_loss_step=4.71e+8, train_loss_epoch=4.83e+8]Epoch 45/300:  15%|█▌        | 45/300 [00:12<01:12,  3.52it/s, v_num=1, train_loss_step=4.71e+8, train_loss_epoch=4.83e+8]Epoch 45/300:  15%|█▌        | 45/300 [00:12<01:12,  3.52it/s, v_num=1, train_loss_step=4.52e+8, train_loss_epoch=4.62e+8]Epoch 46/300:  15%|█▌        | 45/300 [00:12<01:12,  3.52it/s, v_num=1, train_loss_step=4.52e+8, train_loss_epoch=4.62e+8]Epoch 46/300:  15%|█▌        | 46/300 [00:12<01:10,  3.59it/s, v_num=1, train_loss_step=4.52e+8, train_loss_epoch=4.62e+8]Epoch 46/300:  15%|█▌        | 46/300 [00:12<01:10,  3.59it/s, v_num=1, train_loss_step=4.1e+8, train_loss_epoch=4.43e+8] Epoch 47/300:  15%|█▌        | 46/300 [00:12<01:10,  3.59it/s, v_num=1, train_loss_step=4.1e+8, train_loss_epoch=4.43e+8]Epoch 47/300:  16%|█▌        | 47/300 [00:12<01:10,  3.59it/s, v_num=1, train_loss_step=4.1e+8, train_loss_epoch=4.43e+8]Epoch 47/300:  16%|█▌        | 47/300 [00:12<01:10,  3.59it/s, v_num=1, train_loss_step=4.07e+8, train_loss_epoch=4.25e+8]Epoch 48/300:  16%|█▌        | 47/300 [00:12<01:10,  3.59it/s, v_num=1, train_loss_step=4.07e+8, train_loss_epoch=4.25e+8]Epoch 48/300:  16%|█▌        | 48/300 [00:13<01:13,  3.43it/s, v_num=1, train_loss_step=4.07e+8, train_loss_epoch=4.25e+8]Epoch 48/300:  16%|█▌        | 48/300 [00:13<01:13,  3.43it/s, v_num=1, train_loss_step=3.68e+8, train_loss_epoch=4.08e+8]Epoch 49/300:  16%|█▌        | 48/300 [00:13<01:13,  3.43it/s, v_num=1, train_loss_step=3.68e+8, train_loss_epoch=4.08e+8]Epoch 49/300:  16%|█▋        | 49/300 [00:13<01:12,  3.48it/s, v_num=1, train_loss_step=3.68e+8, train_loss_epoch=4.08e+8]Epoch 49/300:  16%|█▋        | 49/300 [00:13<01:12,  3.48it/s, v_num=1, train_loss_step=3.72e+8, train_loss_epoch=3.91e+8]Epoch 50/300:  16%|█▋        | 49/300 [00:13<01:12,  3.48it/s, v_num=1, train_loss_step=3.72e+8, train_loss_epoch=3.91e+8]Epoch 50/300:  17%|█▋        | 50/300 [00:13<01:10,  3.52it/s, v_num=1, train_loss_step=3.72e+8, train_loss_epoch=3.91e+8]Epoch 50/300:  17%|█▋        | 50/300 [00:13<01:10,  3.52it/s, v_num=1, train_loss_step=3.45e+8, train_loss_epoch=3.76e+8]Epoch 51/300:  17%|█▋        | 50/300 [00:13<01:10,  3.52it/s, v_num=1, train_loss_step=3.45e+8, train_loss_epoch=3.76e+8]Epoch 51/300:  17%|█▋        | 51/300 [00:14<01:09,  3.56it/s, v_num=1, train_loss_step=3.45e+8, train_loss_epoch=3.76e+8]Epoch 51/300:  17%|█▋        | 51/300 [00:14<01:09,  3.56it/s, v_num=1, train_loss_step=3.44e+8, train_loss_epoch=3.62e+8]Epoch 52/300:  17%|█▋        | 51/300 [00:14<01:09,  3.56it/s, v_num=1, train_loss_step=3.44e+8, train_loss_epoch=3.62e+8]Epoch 52/300:  17%|█▋        | 52/300 [00:14<01:09,  3.55it/s, v_num=1, train_loss_step=3.44e+8, train_loss_epoch=3.62e+8]Epoch 52/300:  17%|█▋        | 52/300 [00:14<01:09,  3.55it/s, v_num=1, train_loss_step=3.04e+8, train_loss_epoch=3.48e+8]Epoch 53/300:  17%|█▋        | 52/300 [00:14<01:09,  3.55it/s, v_num=1, train_loss_step=3.04e+8, train_loss_epoch=3.48e+8]Epoch 53/300:  18%|█▊        | 53/300 [00:14<01:08,  3.62it/s, v_num=1, train_loss_step=3.04e+8, train_loss_epoch=3.48e+8]Epoch 53/300:  18%|█▊        | 53/300 [00:14<01:08,  3.62it/s, v_num=1, train_loss_step=3.04e+8, train_loss_epoch=3.35e+8]Epoch 54/300:  18%|█▊        | 53/300 [00:14<01:08,  3.62it/s, v_num=1, train_loss_step=3.04e+8, train_loss_epoch=3.35e+8]Epoch 54/300:  18%|█▊        | 54/300 [00:14<01:07,  3.64it/s, v_num=1, train_loss_step=3.04e+8, train_loss_epoch=3.35e+8]Epoch 54/300:  18%|█▊        | 54/300 [00:14<01:07,  3.64it/s, v_num=1, train_loss_step=3.15e+8, train_loss_epoch=3.23e+8]Epoch 55/300:  18%|█▊        | 54/300 [00:14<01:07,  3.64it/s, v_num=1, train_loss_step=3.15e+8, train_loss_epoch=3.23e+8]Epoch 55/300:  18%|█▊        | 55/300 [00:15<01:08,  3.60it/s, v_num=1, train_loss_step=3.15e+8, train_loss_epoch=3.23e+8]Epoch 55/300:  18%|█▊        | 55/300 [00:15<01:08,  3.60it/s, v_num=1, train_loss_step=2.94e+8, train_loss_epoch=3.11e+8]Epoch 56/300:  18%|█▊        | 55/300 [00:15<01:08,  3.60it/s, v_num=1, train_loss_step=2.94e+8, train_loss_epoch=3.11e+8]Epoch 56/300:  19%|█▊        | 56/300 [00:15<01:11,  3.44it/s, v_num=1, train_loss_step=2.94e+8, train_loss_epoch=3.11e+8]Epoch 56/300:  19%|█▊        | 56/300 [00:15<01:11,  3.44it/s, v_num=1, train_loss_step=2.75e+8, train_loss_epoch=3e+8]   Epoch 57/300:  19%|█▊        | 56/300 [00:15<01:11,  3.44it/s, v_num=1, train_loss_step=2.75e+8, train_loss_epoch=3e+8]Epoch 57/300:  19%|█▉        | 57/300 [00:15<01:10,  3.44it/s, v_num=1, train_loss_step=2.75e+8, train_loss_epoch=3e+8]Epoch 57/300:  19%|█▉        | 57/300 [00:15<01:10,  3.44it/s, v_num=1, train_loss_step=2.71e+8, train_loss_epoch=2.9e+8]Epoch 58/300:  19%|█▉        | 57/300 [00:15<01:10,  3.44it/s, v_num=1, train_loss_step=2.71e+8, train_loss_epoch=2.9e+8]Epoch 58/300:  19%|█▉        | 58/300 [00:16<01:09,  3.47it/s, v_num=1, train_loss_step=2.71e+8, train_loss_epoch=2.9e+8]Epoch 58/300:  19%|█▉        | 58/300 [00:16<01:09,  3.47it/s, v_num=1, train_loss_step=2.66e+8, train_loss_epoch=2.8e+8]Epoch 59/300:  19%|█▉        | 58/300 [00:16<01:09,  3.47it/s, v_num=1, train_loss_step=2.66e+8, train_loss_epoch=2.8e+8]Epoch 59/300:  20%|█▉        | 59/300 [00:16<01:09,  3.45it/s, v_num=1, train_loss_step=2.66e+8, train_loss_epoch=2.8e+8]Epoch 59/300:  20%|█▉        | 59/300 [00:16<01:09,  3.45it/s, v_num=1, train_loss_step=2.57e+8, train_loss_epoch=2.71e+8]Epoch 60/300:  20%|█▉        | 59/300 [00:16<01:09,  3.45it/s, v_num=1, train_loss_step=2.57e+8, train_loss_epoch=2.71e+8]Epoch 60/300:  20%|██        | 60/300 [00:16<01:08,  3.52it/s, v_num=1, train_loss_step=2.57e+8, train_loss_epoch=2.71e+8]Epoch 60/300:  20%|██        | 60/300 [00:16<01:08,  3.52it/s, v_num=1, train_loss_step=2.47e+8, train_loss_epoch=2.62e+8]Epoch 61/300:  20%|██        | 60/300 [00:16<01:08,  3.52it/s, v_num=1, train_loss_step=2.47e+8, train_loss_epoch=2.62e+8]Epoch 61/300:  20%|██        | 61/300 [00:16<01:07,  3.55it/s, v_num=1, train_loss_step=2.47e+8, train_loss_epoch=2.62e+8]Epoch 61/300:  20%|██        | 61/300 [00:16<01:07,  3.55it/s, v_num=1, train_loss_step=2.43e+8, train_loss_epoch=2.53e+8]Epoch 62/300:  20%|██        | 61/300 [00:16<01:07,  3.55it/s, v_num=1, train_loss_step=2.43e+8, train_loss_epoch=2.53e+8]Epoch 62/300:  21%|██        | 62/300 [00:17<01:07,  3.52it/s, v_num=1, train_loss_step=2.43e+8, train_loss_epoch=2.53e+8]Epoch 62/300:  21%|██        | 62/300 [00:17<01:07,  3.52it/s, v_num=1, train_loss_step=2.37e+8, train_loss_epoch=2.45e+8]Epoch 63/300:  21%|██        | 62/300 [00:17<01:07,  3.52it/s, v_num=1, train_loss_step=2.37e+8, train_loss_epoch=2.45e+8]Epoch 63/300:  21%|██        | 63/300 [00:17<01:06,  3.57it/s, v_num=1, train_loss_step=2.37e+8, train_loss_epoch=2.45e+8]Epoch 63/300:  21%|██        | 63/300 [00:17<01:06,  3.57it/s, v_num=1, train_loss_step=2.14e+8, train_loss_epoch=2.37e+8]Epoch 64/300:  21%|██        | 63/300 [00:17<01:06,  3.57it/s, v_num=1, train_loss_step=2.14e+8, train_loss_epoch=2.37e+8]Epoch 64/300:  21%|██▏       | 64/300 [00:17<01:05,  3.61it/s, v_num=1, train_loss_step=2.14e+8, train_loss_epoch=2.37e+8]Epoch 64/300:  21%|██▏       | 64/300 [00:17<01:05,  3.61it/s, v_num=1, train_loss_step=2.11e+8, train_loss_epoch=2.3e+8] Epoch 65/300:  21%|██▏       | 64/300 [00:17<01:05,  3.61it/s, v_num=1, train_loss_step=2.11e+8, train_loss_epoch=2.3e+8]Epoch 65/300:  22%|██▏       | 65/300 [00:18<01:05,  3.61it/s, v_num=1, train_loss_step=2.11e+8, train_loss_epoch=2.3e+8]Epoch 65/300:  22%|██▏       | 65/300 [00:18<01:05,  3.61it/s, v_num=1, train_loss_step=2.13e+8, train_loss_epoch=2.22e+8]Epoch 66/300:  22%|██▏       | 65/300 [00:18<01:05,  3.61it/s, v_num=1, train_loss_step=2.13e+8, train_loss_epoch=2.22e+8]Epoch 66/300:  22%|██▏       | 66/300 [00:18<01:07,  3.48it/s, v_num=1, train_loss_step=2.13e+8, train_loss_epoch=2.22e+8]Epoch 66/300:  22%|██▏       | 66/300 [00:18<01:07,  3.48it/s, v_num=1, train_loss_step=2.09e+8, train_loss_epoch=2.16e+8]Epoch 67/300:  22%|██▏       | 66/300 [00:18<01:07,  3.48it/s, v_num=1, train_loss_step=2.09e+8, train_loss_epoch=2.16e+8]Epoch 67/300:  22%|██▏       | 67/300 [00:18<01:07,  3.46it/s, v_num=1, train_loss_step=2.09e+8, train_loss_epoch=2.16e+8]Epoch 67/300:  22%|██▏       | 67/300 [00:18<01:07,  3.46it/s, v_num=1, train_loss_step=2.08e+8, train_loss_epoch=2.09e+8]Epoch 68/300:  22%|██▏       | 67/300 [00:18<01:07,  3.46it/s, v_num=1, train_loss_step=2.08e+8, train_loss_epoch=2.09e+8]Epoch 68/300:  23%|██▎       | 68/300 [00:18<01:06,  3.51it/s, v_num=1, train_loss_step=2.08e+8, train_loss_epoch=2.09e+8]Epoch 68/300:  23%|██▎       | 68/300 [00:18<01:06,  3.51it/s, v_num=1, train_loss_step=1.94e+8, train_loss_epoch=2.03e+8]Epoch 69/300:  23%|██▎       | 68/300 [00:18<01:06,  3.51it/s, v_num=1, train_loss_step=1.94e+8, train_loss_epoch=2.03e+8]Epoch 69/300:  23%|██▎       | 69/300 [00:19<01:05,  3.51it/s, v_num=1, train_loss_step=1.94e+8, train_loss_epoch=2.03e+8]Epoch 69/300:  23%|██▎       | 69/300 [00:19<01:05,  3.51it/s, v_num=1, train_loss_step=1.85e+8, train_loss_epoch=1.97e+8]Epoch 70/300:  23%|██▎       | 69/300 [00:19<01:05,  3.51it/s, v_num=1, train_loss_step=1.85e+8, train_loss_epoch=1.97e+8]Epoch 70/300:  23%|██▎       | 70/300 [00:19<01:06,  3.44it/s, v_num=1, train_loss_step=1.85e+8, train_loss_epoch=1.97e+8]Epoch 70/300:  23%|██▎       | 70/300 [00:19<01:06,  3.44it/s, v_num=1, train_loss_step=1.87e+8, train_loss_epoch=1.91e+8]Epoch 71/300:  23%|██▎       | 70/300 [00:19<01:06,  3.44it/s, v_num=1, train_loss_step=1.87e+8, train_loss_epoch=1.91e+8]Epoch 71/300:  24%|██▎       | 71/300 [00:19<01:07,  3.38it/s, v_num=1, train_loss_step=1.87e+8, train_loss_epoch=1.91e+8]Epoch 71/300:  24%|██▎       | 71/300 [00:19<01:07,  3.38it/s, v_num=1, train_loss_step=1.81e+8, train_loss_epoch=1.86e+8]Epoch 72/300:  24%|██▎       | 71/300 [00:19<01:07,  3.38it/s, v_num=1, train_loss_step=1.81e+8, train_loss_epoch=1.86e+8]Epoch 72/300:  24%|██▍       | 72/300 [00:20<01:07,  3.40it/s, v_num=1, train_loss_step=1.81e+8, train_loss_epoch=1.86e+8]Epoch 72/300:  24%|██▍       | 72/300 [00:20<01:07,  3.40it/s, v_num=1, train_loss_step=1.6e+8, train_loss_epoch=1.8e+8]  Epoch 73/300:  24%|██▍       | 72/300 [00:20<01:07,  3.40it/s, v_num=1, train_loss_step=1.6e+8, train_loss_epoch=1.8e+8]Epoch 73/300:  24%|██▍       | 73/300 [00:20<01:06,  3.44it/s, v_num=1, train_loss_step=1.6e+8, train_loss_epoch=1.8e+8]Epoch 73/300:  24%|██▍       | 73/300 [00:20<01:06,  3.44it/s, v_num=1, train_loss_step=1.63e+8, train_loss_epoch=1.75e+8]Epoch 74/300:  24%|██▍       | 73/300 [00:20<01:06,  3.44it/s, v_num=1, train_loss_step=1.63e+8, train_loss_epoch=1.75e+8]Epoch 74/300:  25%|██▍       | 74/300 [00:20<01:04,  3.49it/s, v_num=1, train_loss_step=1.63e+8, train_loss_epoch=1.75e+8]Epoch 74/300:  25%|██▍       | 74/300 [00:20<01:04,  3.49it/s, v_num=1, train_loss_step=1.61e+8, train_loss_epoch=1.7e+8] Epoch 75/300:  25%|██▍       | 74/300 [00:20<01:04,  3.49it/s, v_num=1, train_loss_step=1.61e+8, train_loss_epoch=1.7e+8]Epoch 75/300:  25%|██▌       | 75/300 [00:21<01:04,  3.48it/s, v_num=1, train_loss_step=1.61e+8, train_loss_epoch=1.7e+8]Epoch 75/300:  25%|██▌       | 75/300 [00:21<01:04,  3.48it/s, v_num=1, train_loss_step=1.63e+8, train_loss_epoch=1.66e+8]Epoch 76/300:  25%|██▌       | 75/300 [00:21<01:04,  3.48it/s, v_num=1, train_loss_step=1.63e+8, train_loss_epoch=1.66e+8]Epoch 76/300:  25%|██▌       | 76/300 [00:21<01:04,  3.49it/s, v_num=1, train_loss_step=1.63e+8, train_loss_epoch=1.66e+8]Epoch 76/300:  25%|██▌       | 76/300 [00:21<01:04,  3.49it/s, v_num=1, train_loss_step=1.53e+8, train_loss_epoch=1.61e+8]Epoch 77/300:  25%|██▌       | 76/300 [00:21<01:04,  3.49it/s, v_num=1, train_loss_step=1.53e+8, train_loss_epoch=1.61e+8]Epoch 77/300:  26%|██▌       | 77/300 [00:21<01:04,  3.44it/s, v_num=1, train_loss_step=1.53e+8, train_loss_epoch=1.61e+8]Epoch 77/300:  26%|██▌       | 77/300 [00:21<01:04,  3.44it/s, v_num=1, train_loss_step=1.47e+8, train_loss_epoch=1.57e+8]Epoch 78/300:  26%|██▌       | 77/300 [00:21<01:04,  3.44it/s, v_num=1, train_loss_step=1.47e+8, train_loss_epoch=1.57e+8]Epoch 78/300:  26%|██▌       | 78/300 [00:21<01:03,  3.50it/s, v_num=1, train_loss_step=1.47e+8, train_loss_epoch=1.57e+8]Epoch 78/300:  26%|██▌       | 78/300 [00:21<01:03,  3.50it/s, v_num=1, train_loss_step=1.49e+8, train_loss_epoch=1.53e+8]Epoch 79/300:  26%|██▌       | 78/300 [00:21<01:03,  3.50it/s, v_num=1, train_loss_step=1.49e+8, train_loss_epoch=1.53e+8]Epoch 79/300:  26%|██▋       | 79/300 [00:22<01:03,  3.47it/s, v_num=1, train_loss_step=1.49e+8, train_loss_epoch=1.53e+8]Epoch 79/300:  26%|██▋       | 79/300 [00:22<01:03,  3.47it/s, v_num=1, train_loss_step=1.35e+8, train_loss_epoch=1.49e+8]Epoch 80/300:  26%|██▋       | 79/300 [00:22<01:03,  3.47it/s, v_num=1, train_loss_step=1.35e+8, train_loss_epoch=1.49e+8]Epoch 80/300:  27%|██▋       | 80/300 [00:22<01:02,  3.49it/s, v_num=1, train_loss_step=1.35e+8, train_loss_epoch=1.49e+8]Epoch 80/300:  27%|██▋       | 80/300 [00:22<01:02,  3.49it/s, v_num=1, train_loss_step=1.33e+8, train_loss_epoch=1.45e+8]Epoch 81/300:  27%|██▋       | 80/300 [00:22<01:02,  3.49it/s, v_num=1, train_loss_step=1.33e+8, train_loss_epoch=1.45e+8]Epoch 81/300:  27%|██▋       | 81/300 [00:22<01:01,  3.55it/s, v_num=1, train_loss_step=1.33e+8, train_loss_epoch=1.45e+8]Epoch 81/300:  27%|██▋       | 81/300 [00:22<01:01,  3.55it/s, v_num=1, train_loss_step=1.34e+8, train_loss_epoch=1.41e+8]Epoch 82/300:  27%|██▋       | 81/300 [00:22<01:01,  3.55it/s, v_num=1, train_loss_step=1.34e+8, train_loss_epoch=1.41e+8]Epoch 82/300:  27%|██▋       | 82/300 [00:22<01:01,  3.54it/s, v_num=1, train_loss_step=1.34e+8, train_loss_epoch=1.41e+8]Epoch 82/300:  27%|██▋       | 82/300 [00:22<01:01,  3.54it/s, v_num=1, train_loss_step=1.31e+8, train_loss_epoch=1.38e+8]Epoch 83/300:  27%|██▋       | 82/300 [00:22<01:01,  3.54it/s, v_num=1, train_loss_step=1.31e+8, train_loss_epoch=1.38e+8]Epoch 83/300:  28%|██▊       | 83/300 [00:23<01:02,  3.49it/s, v_num=1, train_loss_step=1.31e+8, train_loss_epoch=1.38e+8]Epoch 83/300:  28%|██▊       | 83/300 [00:23<01:02,  3.49it/s, v_num=1, train_loss_step=1.26e+8, train_loss_epoch=1.34e+8]Epoch 84/300:  28%|██▊       | 83/300 [00:23<01:02,  3.49it/s, v_num=1, train_loss_step=1.26e+8, train_loss_epoch=1.34e+8]Epoch 84/300:  28%|██▊       | 84/300 [00:23<01:02,  3.48it/s, v_num=1, train_loss_step=1.26e+8, train_loss_epoch=1.34e+8]Epoch 84/300:  28%|██▊       | 84/300 [00:23<01:02,  3.48it/s, v_num=1, train_loss_step=1.26e+8, train_loss_epoch=1.31e+8]Epoch 85/300:  28%|██▊       | 84/300 [00:23<01:02,  3.48it/s, v_num=1, train_loss_step=1.26e+8, train_loss_epoch=1.31e+8]Epoch 85/300:  28%|██▊       | 85/300 [00:23<01:03,  3.41it/s, v_num=1, train_loss_step=1.26e+8, train_loss_epoch=1.31e+8]Epoch 85/300:  28%|██▊       | 85/300 [00:23<01:03,  3.41it/s, v_num=1, train_loss_step=1.18e+8, train_loss_epoch=1.28e+8]Epoch 86/300:  28%|██▊       | 85/300 [00:23<01:03,  3.41it/s, v_num=1, train_loss_step=1.18e+8, train_loss_epoch=1.28e+8]Epoch 86/300:  29%|██▊       | 86/300 [00:24<01:03,  3.35it/s, v_num=1, train_loss_step=1.18e+8, train_loss_epoch=1.28e+8]Epoch 86/300:  29%|██▊       | 86/300 [00:24<01:03,  3.35it/s, v_num=1, train_loss_step=1.16e+8, train_loss_epoch=1.24e+8]Epoch 87/300:  29%|██▊       | 86/300 [00:24<01:03,  3.35it/s, v_num=1, train_loss_step=1.16e+8, train_loss_epoch=1.24e+8]Epoch 87/300:  29%|██▉       | 87/300 [00:24<01:03,  3.36it/s, v_num=1, train_loss_step=1.16e+8, train_loss_epoch=1.24e+8]Epoch 87/300:  29%|██▉       | 87/300 [00:24<01:03,  3.36it/s, v_num=1, train_loss_step=1.15e+8, train_loss_epoch=1.21e+8]Epoch 88/300:  29%|██▉       | 87/300 [00:24<01:03,  3.36it/s, v_num=1, train_loss_step=1.15e+8, train_loss_epoch=1.21e+8]Epoch 88/300:  29%|██▉       | 88/300 [00:24<01:01,  3.47it/s, v_num=1, train_loss_step=1.15e+8, train_loss_epoch=1.21e+8]Epoch 88/300:  29%|██▉       | 88/300 [00:24<01:01,  3.47it/s, v_num=1, train_loss_step=1.15e+8, train_loss_epoch=1.19e+8]Epoch 89/300:  29%|██▉       | 88/300 [00:24<01:01,  3.47it/s, v_num=1, train_loss_step=1.15e+8, train_loss_epoch=1.19e+8]Epoch 89/300:  30%|██▉       | 89/300 [00:25<01:00,  3.47it/s, v_num=1, train_loss_step=1.15e+8, train_loss_epoch=1.19e+8]Epoch 89/300:  30%|██▉       | 89/300 [00:25<01:00,  3.47it/s, v_num=1, train_loss_step=1.13e+8, train_loss_epoch=1.16e+8]Epoch 90/300:  30%|██▉       | 89/300 [00:25<01:00,  3.47it/s, v_num=1, train_loss_step=1.13e+8, train_loss_epoch=1.16e+8]Epoch 90/300:  30%|███       | 90/300 [00:25<01:00,  3.44it/s, v_num=1, train_loss_step=1.13e+8, train_loss_epoch=1.16e+8]Epoch 90/300:  30%|███       | 90/300 [00:25<01:00,  3.44it/s, v_num=1, train_loss_step=1.08e+8, train_loss_epoch=1.13e+8]Epoch 91/300:  30%|███       | 90/300 [00:25<01:00,  3.44it/s, v_num=1, train_loss_step=1.08e+8, train_loss_epoch=1.13e+8]Epoch 91/300:  30%|███       | 91/300 [00:25<00:59,  3.50it/s, v_num=1, train_loss_step=1.08e+8, train_loss_epoch=1.13e+8]Epoch 91/300:  30%|███       | 91/300 [00:25<00:59,  3.50it/s, v_num=1, train_loss_step=1.04e+8, train_loss_epoch=1.1e+8] Epoch 92/300:  30%|███       | 91/300 [00:25<00:59,  3.50it/s, v_num=1, train_loss_step=1.04e+8, train_loss_epoch=1.1e+8]Epoch 92/300:  31%|███       | 92/300 [00:25<00:58,  3.53it/s, v_num=1, train_loss_step=1.04e+8, train_loss_epoch=1.1e+8]Epoch 92/300:  31%|███       | 92/300 [00:25<00:58,  3.53it/s, v_num=1, train_loss_step=1.04e+8, train_loss_epoch=1.08e+8]Epoch 93/300:  31%|███       | 92/300 [00:25<00:58,  3.53it/s, v_num=1, train_loss_step=1.04e+8, train_loss_epoch=1.08e+8]Epoch 93/300:  31%|███       | 93/300 [00:26<00:58,  3.57it/s, v_num=1, train_loss_step=1.04e+8, train_loss_epoch=1.08e+8]Epoch 93/300:  31%|███       | 93/300 [00:26<00:58,  3.57it/s, v_num=1, train_loss_step=1.03e+8, train_loss_epoch=1.05e+8]Epoch 94/300:  31%|███       | 93/300 [00:26<00:58,  3.57it/s, v_num=1, train_loss_step=1.03e+8, train_loss_epoch=1.05e+8]Epoch 94/300:  31%|███▏      | 94/300 [00:26<00:57,  3.57it/s, v_num=1, train_loss_step=1.03e+8, train_loss_epoch=1.05e+8]Epoch 94/300:  31%|███▏      | 94/300 [00:26<00:57,  3.57it/s, v_num=1, train_loss_step=9.73e+7, train_loss_epoch=1.03e+8]Epoch 95/300:  31%|███▏      | 94/300 [00:26<00:57,  3.57it/s, v_num=1, train_loss_step=9.73e+7, train_loss_epoch=1.03e+8]Epoch 95/300:  32%|███▏      | 95/300 [00:26<00:57,  3.58it/s, v_num=1, train_loss_step=9.73e+7, train_loss_epoch=1.03e+8]Epoch 95/300:  32%|███▏      | 95/300 [00:26<00:57,  3.58it/s, v_num=1, train_loss_step=9.83e+7, train_loss_epoch=1.01e+8]Epoch 96/300:  32%|███▏      | 95/300 [00:26<00:57,  3.58it/s, v_num=1, train_loss_step=9.83e+7, train_loss_epoch=1.01e+8]Epoch 96/300:  32%|███▏      | 96/300 [00:26<00:56,  3.60it/s, v_num=1, train_loss_step=9.83e+7, train_loss_epoch=1.01e+8]Epoch 96/300:  32%|███▏      | 96/300 [00:26<00:56,  3.60it/s, v_num=1, train_loss_step=9.41e+7, train_loss_epoch=9.86e+7]Epoch 97/300:  32%|███▏      | 96/300 [00:27<00:56,  3.60it/s, v_num=1, train_loss_step=9.41e+7, train_loss_epoch=9.86e+7]Epoch 97/300:  32%|███▏      | 97/300 [00:27<00:56,  3.59it/s, v_num=1, train_loss_step=9.41e+7, train_loss_epoch=9.86e+7]Epoch 97/300:  32%|███▏      | 97/300 [00:27<00:56,  3.59it/s, v_num=1, train_loss_step=8.58e+7, train_loss_epoch=9.65e+7]Epoch 98/300:  32%|███▏      | 97/300 [00:27<00:56,  3.59it/s, v_num=1, train_loss_step=8.58e+7, train_loss_epoch=9.65e+7]Epoch 98/300:  33%|███▎      | 98/300 [00:27<00:56,  3.57it/s, v_num=1, train_loss_step=8.58e+7, train_loss_epoch=9.65e+7]Epoch 98/300:  33%|███▎      | 98/300 [00:27<00:56,  3.57it/s, v_num=1, train_loss_step=8.56e+7, train_loss_epoch=9.44e+7]Epoch 99/300:  33%|███▎      | 98/300 [00:27<00:56,  3.57it/s, v_num=1, train_loss_step=8.56e+7, train_loss_epoch=9.44e+7]Epoch 99/300:  33%|███▎      | 99/300 [00:27<00:57,  3.51it/s, v_num=1, train_loss_step=8.56e+7, train_loss_epoch=9.44e+7]Epoch 99/300:  33%|███▎      | 99/300 [00:27<00:57,  3.51it/s, v_num=1, train_loss_step=8.81e+7, train_loss_epoch=9.24e+7]Epoch 100/300:  33%|███▎      | 99/300 [00:27<00:57,  3.51it/s, v_num=1, train_loss_step=8.81e+7, train_loss_epoch=9.24e+7]Epoch 100/300:  33%|███▎      | 100/300 [00:28<00:58,  3.41it/s, v_num=1, train_loss_step=8.81e+7, train_loss_epoch=9.24e+7]Epoch 100/300:  33%|███▎      | 100/300 [00:28<00:58,  3.41it/s, v_num=1, train_loss_step=8.91e+7, train_loss_epoch=9.04e+7]Epoch 101/300:  33%|███▎      | 100/300 [00:28<00:58,  3.41it/s, v_num=1, train_loss_step=8.91e+7, train_loss_epoch=9.04e+7]Epoch 101/300:  34%|███▎      | 101/300 [00:28<00:56,  3.50it/s, v_num=1, train_loss_step=8.91e+7, train_loss_epoch=9.04e+7]Epoch 101/300:  34%|███▎      | 101/300 [00:28<00:56,  3.50it/s, v_num=1, train_loss_step=9.01e+7, train_loss_epoch=8.85e+7]Epoch 102/300:  34%|███▎      | 101/300 [00:28<00:56,  3.50it/s, v_num=1, train_loss_step=9.01e+7, train_loss_epoch=8.85e+7]Epoch 102/300:  34%|███▍      | 102/300 [00:28<00:56,  3.51it/s, v_num=1, train_loss_step=9.01e+7, train_loss_epoch=8.85e+7]Epoch 102/300:  34%|███▍      | 102/300 [00:28<00:56,  3.51it/s, v_num=1, train_loss_step=8.53e+7, train_loss_epoch=8.67e+7]Epoch 103/300:  34%|███▍      | 102/300 [00:28<00:56,  3.51it/s, v_num=1, train_loss_step=8.53e+7, train_loss_epoch=8.67e+7]Epoch 103/300:  34%|███▍      | 103/300 [00:29<00:58,  3.38it/s, v_num=1, train_loss_step=8.53e+7, train_loss_epoch=8.67e+7]Epoch 103/300:  34%|███▍      | 103/300 [00:29<00:58,  3.38it/s, v_num=1, train_loss_step=8.23e+7, train_loss_epoch=8.49e+7]Epoch 104/300:  34%|███▍      | 103/300 [00:29<00:58,  3.38it/s, v_num=1, train_loss_step=8.23e+7, train_loss_epoch=8.49e+7]Epoch 104/300:  35%|███▍      | 104/300 [00:29<00:59,  3.29it/s, v_num=1, train_loss_step=8.23e+7, train_loss_epoch=8.49e+7]Epoch 104/300:  35%|███▍      | 104/300 [00:29<00:59,  3.29it/s, v_num=1, train_loss_step=7.08e+7, train_loss_epoch=8.32e+7]Epoch 105/300:  35%|███▍      | 104/300 [00:29<00:59,  3.29it/s, v_num=1, train_loss_step=7.08e+7, train_loss_epoch=8.32e+7]Epoch 105/300:  35%|███▌      | 105/300 [00:29<01:00,  3.25it/s, v_num=1, train_loss_step=7.08e+7, train_loss_epoch=8.32e+7]Epoch 105/300:  35%|███▌      | 105/300 [00:29<01:00,  3.25it/s, v_num=1, train_loss_step=7.44e+7, train_loss_epoch=8.15e+7]Epoch 106/300:  35%|███▌      | 105/300 [00:29<01:00,  3.25it/s, v_num=1, train_loss_step=7.44e+7, train_loss_epoch=8.15e+7]Epoch 106/300:  35%|███▌      | 106/300 [00:29<00:58,  3.31it/s, v_num=1, train_loss_step=7.44e+7, train_loss_epoch=8.15e+7]Epoch 106/300:  35%|███▌      | 106/300 [00:29<00:58,  3.31it/s, v_num=1, train_loss_step=7.74e+7, train_loss_epoch=7.98e+7]Epoch 107/300:  35%|███▌      | 106/300 [00:29<00:58,  3.31it/s, v_num=1, train_loss_step=7.74e+7, train_loss_epoch=7.98e+7]Epoch 107/300:  36%|███▌      | 107/300 [00:30<00:57,  3.34it/s, v_num=1, train_loss_step=7.74e+7, train_loss_epoch=7.98e+7]Epoch 107/300:  36%|███▌      | 107/300 [00:30<00:57,  3.34it/s, v_num=1, train_loss_step=6.95e+7, train_loss_epoch=7.83e+7]Epoch 108/300:  36%|███▌      | 107/300 [00:30<00:57,  3.34it/s, v_num=1, train_loss_step=6.95e+7, train_loss_epoch=7.83e+7]Epoch 108/300:  36%|███▌      | 108/300 [00:30<00:57,  3.35it/s, v_num=1, train_loss_step=6.95e+7, train_loss_epoch=7.83e+7]Epoch 108/300:  36%|███▌      | 108/300 [00:30<00:57,  3.35it/s, v_num=1, train_loss_step=7e+7, train_loss_epoch=7.67e+7]   Epoch 109/300:  36%|███▌      | 108/300 [00:30<00:57,  3.35it/s, v_num=1, train_loss_step=7e+7, train_loss_epoch=7.67e+7]Epoch 109/300:  36%|███▋      | 109/300 [00:30<00:55,  3.43it/s, v_num=1, train_loss_step=7e+7, train_loss_epoch=7.67e+7]Epoch 109/300:  36%|███▋      | 109/300 [00:30<00:55,  3.43it/s, v_num=1, train_loss_step=7.16e+7, train_loss_epoch=7.52e+7]Epoch 110/300:  36%|███▋      | 109/300 [00:30<00:55,  3.43it/s, v_num=1, train_loss_step=7.16e+7, train_loss_epoch=7.52e+7]Epoch 110/300:  37%|███▋      | 110/300 [00:31<00:55,  3.41it/s, v_num=1, train_loss_step=7.16e+7, train_loss_epoch=7.52e+7]Epoch 110/300:  37%|███▋      | 110/300 [00:31<00:55,  3.41it/s, v_num=1, train_loss_step=7.27e+7, train_loss_epoch=7.38e+7]Epoch 111/300:  37%|███▋      | 110/300 [00:31<00:55,  3.41it/s, v_num=1, train_loss_step=7.27e+7, train_loss_epoch=7.38e+7]Epoch 111/300:  37%|███▋      | 111/300 [00:31<00:54,  3.44it/s, v_num=1, train_loss_step=7.27e+7, train_loss_epoch=7.38e+7]Epoch 111/300:  37%|███▋      | 111/300 [00:31<00:54,  3.44it/s, v_num=1, train_loss_step=6.67e+7, train_loss_epoch=7.24e+7]Epoch 112/300:  37%|███▋      | 111/300 [00:31<00:54,  3.44it/s, v_num=1, train_loss_step=6.67e+7, train_loss_epoch=7.24e+7]Epoch 112/300:  37%|███▋      | 112/300 [00:31<00:55,  3.39it/s, v_num=1, train_loss_step=6.67e+7, train_loss_epoch=7.24e+7]Epoch 112/300:  37%|███▋      | 112/300 [00:31<00:55,  3.39it/s, v_num=1, train_loss_step=6.93e+7, train_loss_epoch=7.1e+7] Epoch 113/300:  37%|███▋      | 112/300 [00:31<00:55,  3.39it/s, v_num=1, train_loss_step=6.93e+7, train_loss_epoch=7.1e+7]Epoch 113/300:  38%|███▊      | 113/300 [00:32<00:54,  3.42it/s, v_num=1, train_loss_step=6.93e+7, train_loss_epoch=7.1e+7]Epoch 113/300:  38%|███▊      | 113/300 [00:32<00:54,  3.42it/s, v_num=1, train_loss_step=6.54e+7, train_loss_epoch=6.97e+7]Epoch 114/300:  38%|███▊      | 113/300 [00:32<00:54,  3.42it/s, v_num=1, train_loss_step=6.54e+7, train_loss_epoch=6.97e+7]Epoch 114/300:  38%|███▊      | 114/300 [00:32<00:54,  3.42it/s, v_num=1, train_loss_step=6.54e+7, train_loss_epoch=6.97e+7]Epoch 114/300:  38%|███▊      | 114/300 [00:32<00:54,  3.42it/s, v_num=1, train_loss_step=6.53e+7, train_loss_epoch=6.84e+7]Epoch 115/300:  38%|███▊      | 114/300 [00:32<00:54,  3.42it/s, v_num=1, train_loss_step=6.53e+7, train_loss_epoch=6.84e+7]Epoch 115/300:  38%|███▊      | 115/300 [00:32<00:53,  3.43it/s, v_num=1, train_loss_step=6.53e+7, train_loss_epoch=6.84e+7]Epoch 115/300:  38%|███▊      | 115/300 [00:32<00:53,  3.43it/s, v_num=1, train_loss_step=6.36e+7, train_loss_epoch=6.71e+7]Epoch 116/300:  38%|███▊      | 115/300 [00:32<00:53,  3.43it/s, v_num=1, train_loss_step=6.36e+7, train_loss_epoch=6.71e+7]Epoch 116/300:  39%|███▊      | 116/300 [00:32<00:53,  3.41it/s, v_num=1, train_loss_step=6.36e+7, train_loss_epoch=6.71e+7]Epoch 116/300:  39%|███▊      | 116/300 [00:32<00:53,  3.41it/s, v_num=1, train_loss_step=5.98e+7, train_loss_epoch=6.59e+7]Epoch 117/300:  39%|███▊      | 116/300 [00:32<00:53,  3.41it/s, v_num=1, train_loss_step=5.98e+7, train_loss_epoch=6.59e+7]Epoch 117/300:  39%|███▉      | 117/300 [00:33<00:53,  3.40it/s, v_num=1, train_loss_step=5.98e+7, train_loss_epoch=6.59e+7]Epoch 117/300:  39%|███▉      | 117/300 [00:33<00:53,  3.40it/s, v_num=1, train_loss_step=6.26e+7, train_loss_epoch=6.47e+7]Epoch 118/300:  39%|███▉      | 117/300 [00:33<00:53,  3.40it/s, v_num=1, train_loss_step=6.26e+7, train_loss_epoch=6.47e+7]Epoch 118/300:  39%|███▉      | 118/300 [00:33<00:52,  3.46it/s, v_num=1, train_loss_step=6.26e+7, train_loss_epoch=6.47e+7]Epoch 118/300:  39%|███▉      | 118/300 [00:33<00:52,  3.46it/s, v_num=1, train_loss_step=5.97e+7, train_loss_epoch=6.35e+7]Epoch 119/300:  39%|███▉      | 118/300 [00:33<00:52,  3.46it/s, v_num=1, train_loss_step=5.97e+7, train_loss_epoch=6.35e+7]Epoch 119/300:  40%|███▉      | 119/300 [00:33<00:51,  3.51it/s, v_num=1, train_loss_step=5.97e+7, train_loss_epoch=6.35e+7]Epoch 119/300:  40%|███▉      | 119/300 [00:33<00:51,  3.51it/s, v_num=1, train_loss_step=6.2e+7, train_loss_epoch=6.24e+7] Epoch 120/300:  40%|███▉      | 119/300 [00:33<00:51,  3.51it/s, v_num=1, train_loss_step=6.2e+7, train_loss_epoch=6.24e+7]Epoch 120/300:  40%|████      | 120/300 [00:34<00:51,  3.51it/s, v_num=1, train_loss_step=6.2e+7, train_loss_epoch=6.24e+7]Epoch 120/300:  40%|████      | 120/300 [00:34<00:51,  3.51it/s, v_num=1, train_loss_step=5.85e+7, train_loss_epoch=6.13e+7]Epoch 121/300:  40%|████      | 120/300 [00:34<00:51,  3.51it/s, v_num=1, train_loss_step=5.85e+7, train_loss_epoch=6.13e+7]Epoch 121/300:  40%|████      | 121/300 [00:34<00:54,  3.26it/s, v_num=1, train_loss_step=5.85e+7, train_loss_epoch=6.13e+7]Epoch 121/300:  40%|████      | 121/300 [00:34<00:54,  3.26it/s, v_num=1, train_loss_step=5.64e+7, train_loss_epoch=6.02e+7]Epoch 122/300:  40%|████      | 121/300 [00:34<00:54,  3.26it/s, v_num=1, train_loss_step=5.64e+7, train_loss_epoch=6.02e+7]Epoch 122/300:  41%|████      | 122/300 [00:34<00:53,  3.35it/s, v_num=1, train_loss_step=5.64e+7, train_loss_epoch=6.02e+7]Epoch 122/300:  41%|████      | 122/300 [00:34<00:53,  3.35it/s, v_num=1, train_loss_step=5.48e+7, train_loss_epoch=5.92e+7]Epoch 123/300:  41%|████      | 122/300 [00:34<00:53,  3.35it/s, v_num=1, train_loss_step=5.48e+7, train_loss_epoch=5.92e+7]Epoch 123/300:  41%|████      | 123/300 [00:34<00:52,  3.34it/s, v_num=1, train_loss_step=5.48e+7, train_loss_epoch=5.92e+7]Epoch 123/300:  41%|████      | 123/300 [00:34<00:52,  3.34it/s, v_num=1, train_loss_step=5.59e+7, train_loss_epoch=5.82e+7]Epoch 124/300:  41%|████      | 123/300 [00:34<00:52,  3.34it/s, v_num=1, train_loss_step=5.59e+7, train_loss_epoch=5.82e+7]Epoch 124/300:  41%|████▏     | 124/300 [00:35<00:51,  3.40it/s, v_num=1, train_loss_step=5.59e+7, train_loss_epoch=5.82e+7]Epoch 124/300:  41%|████▏     | 124/300 [00:35<00:51,  3.40it/s, v_num=1, train_loss_step=5.36e+7, train_loss_epoch=5.72e+7]Epoch 125/300:  41%|████▏     | 124/300 [00:35<00:51,  3.40it/s, v_num=1, train_loss_step=5.36e+7, train_loss_epoch=5.72e+7]Epoch 125/300:  42%|████▏     | 125/300 [00:35<00:50,  3.45it/s, v_num=1, train_loss_step=5.36e+7, train_loss_epoch=5.72e+7]Epoch 125/300:  42%|████▏     | 125/300 [00:35<00:50,  3.45it/s, v_num=1, train_loss_step=5.21e+7, train_loss_epoch=5.62e+7]Epoch 126/300:  42%|████▏     | 125/300 [00:35<00:50,  3.45it/s, v_num=1, train_loss_step=5.21e+7, train_loss_epoch=5.62e+7]Epoch 126/300:  42%|████▏     | 126/300 [00:35<00:49,  3.52it/s, v_num=1, train_loss_step=5.21e+7, train_loss_epoch=5.62e+7]Epoch 126/300:  42%|████▏     | 126/300 [00:35<00:49,  3.52it/s, v_num=1, train_loss_step=5.2e+7, train_loss_epoch=5.53e+7] Epoch 127/300:  42%|████▏     | 126/300 [00:35<00:49,  3.52it/s, v_num=1, train_loss_step=5.2e+7, train_loss_epoch=5.53e+7]Epoch 127/300:  42%|████▏     | 127/300 [00:36<00:48,  3.57it/s, v_num=1, train_loss_step=5.2e+7, train_loss_epoch=5.53e+7]Epoch 127/300:  42%|████▏     | 127/300 [00:36<00:48,  3.57it/s, v_num=1, train_loss_step=4.8e+7, train_loss_epoch=5.43e+7]Epoch 128/300:  42%|████▏     | 127/300 [00:36<00:48,  3.57it/s, v_num=1, train_loss_step=4.8e+7, train_loss_epoch=5.43e+7]Epoch 128/300:  43%|████▎     | 128/300 [00:36<00:47,  3.59it/s, v_num=1, train_loss_step=4.8e+7, train_loss_epoch=5.43e+7]Epoch 128/300:  43%|████▎     | 128/300 [00:36<00:47,  3.59it/s, v_num=1, train_loss_step=4.93e+7, train_loss_epoch=5.35e+7]Epoch 129/300:  43%|████▎     | 128/300 [00:36<00:47,  3.59it/s, v_num=1, train_loss_step=4.93e+7, train_loss_epoch=5.35e+7]Epoch 129/300:  43%|████▎     | 129/300 [00:36<00:47,  3.58it/s, v_num=1, train_loss_step=4.93e+7, train_loss_epoch=5.35e+7]Epoch 129/300:  43%|████▎     | 129/300 [00:36<00:47,  3.58it/s, v_num=1, train_loss_step=4.9e+7, train_loss_epoch=5.26e+7] Epoch 130/300:  43%|████▎     | 129/300 [00:36<00:47,  3.58it/s, v_num=1, train_loss_step=4.9e+7, train_loss_epoch=5.26e+7]Epoch 130/300:  43%|████▎     | 130/300 [00:36<00:47,  3.61it/s, v_num=1, train_loss_step=4.9e+7, train_loss_epoch=5.26e+7]Epoch 130/300:  43%|████▎     | 130/300 [00:36<00:47,  3.61it/s, v_num=1, train_loss_step=4.74e+7, train_loss_epoch=5.17e+7]Epoch 131/300:  43%|████▎     | 130/300 [00:36<00:47,  3.61it/s, v_num=1, train_loss_step=4.74e+7, train_loss_epoch=5.17e+7]Epoch 131/300:  44%|████▎     | 131/300 [00:37<00:47,  3.59it/s, v_num=1, train_loss_step=4.74e+7, train_loss_epoch=5.17e+7]Epoch 131/300:  44%|████▎     | 131/300 [00:37<00:47,  3.59it/s, v_num=1, train_loss_step=5.01e+7, train_loss_epoch=5.09e+7]Epoch 132/300:  44%|████▎     | 131/300 [00:37<00:47,  3.59it/s, v_num=1, train_loss_step=5.01e+7, train_loss_epoch=5.09e+7]Epoch 132/300:  44%|████▍     | 132/300 [00:37<00:47,  3.53it/s, v_num=1, train_loss_step=5.01e+7, train_loss_epoch=5.09e+7]Epoch 132/300:  44%|████▍     | 132/300 [00:37<00:47,  3.53it/s, v_num=1, train_loss_step=4.56e+7, train_loss_epoch=5.01e+7]Epoch 133/300:  44%|████▍     | 132/300 [00:37<00:47,  3.53it/s, v_num=1, train_loss_step=4.56e+7, train_loss_epoch=5.01e+7]Epoch 133/300:  44%|████▍     | 133/300 [00:37<00:46,  3.56it/s, v_num=1, train_loss_step=4.56e+7, train_loss_epoch=5.01e+7]Epoch 133/300:  44%|████▍     | 133/300 [00:37<00:46,  3.56it/s, v_num=1, train_loss_step=5e+7, train_loss_epoch=4.93e+7]   Epoch 134/300:  44%|████▍     | 133/300 [00:37<00:46,  3.56it/s, v_num=1, train_loss_step=5e+7, train_loss_epoch=4.93e+7]Epoch 134/300:  45%|████▍     | 134/300 [00:38<00:46,  3.58it/s, v_num=1, train_loss_step=5e+7, train_loss_epoch=4.93e+7]Epoch 134/300:  45%|████▍     | 134/300 [00:38<00:46,  3.58it/s, v_num=1, train_loss_step=4.31e+7, train_loss_epoch=4.85e+7]Epoch 135/300:  45%|████▍     | 134/300 [00:38<00:46,  3.58it/s, v_num=1, train_loss_step=4.31e+7, train_loss_epoch=4.85e+7]Epoch 135/300:  45%|████▌     | 135/300 [00:38<00:47,  3.51it/s, v_num=1, train_loss_step=4.31e+7, train_loss_epoch=4.85e+7]Epoch 135/300:  45%|████▌     | 135/300 [00:38<00:47,  3.51it/s, v_num=1, train_loss_step=4.37e+7, train_loss_epoch=4.78e+7]Epoch 136/300:  45%|████▌     | 135/300 [00:38<00:47,  3.51it/s, v_num=1, train_loss_step=4.37e+7, train_loss_epoch=4.78e+7]Epoch 136/300:  45%|████▌     | 136/300 [00:38<00:46,  3.50it/s, v_num=1, train_loss_step=4.37e+7, train_loss_epoch=4.78e+7]Epoch 136/300:  45%|████▌     | 136/300 [00:38<00:46,  3.50it/s, v_num=1, train_loss_step=4.44e+7, train_loss_epoch=4.7e+7] Epoch 137/300:  45%|████▌     | 136/300 [00:38<00:46,  3.50it/s, v_num=1, train_loss_step=4.44e+7, train_loss_epoch=4.7e+7]Epoch 137/300:  46%|████▌     | 137/300 [00:38<00:46,  3.53it/s, v_num=1, train_loss_step=4.44e+7, train_loss_epoch=4.7e+7]Epoch 137/300:  46%|████▌     | 137/300 [00:38<00:46,  3.53it/s, v_num=1, train_loss_step=4.53e+7, train_loss_epoch=4.63e+7]Epoch 138/300:  46%|████▌     | 137/300 [00:38<00:46,  3.53it/s, v_num=1, train_loss_step=4.53e+7, train_loss_epoch=4.63e+7]Epoch 138/300:  46%|████▌     | 138/300 [00:39<00:45,  3.58it/s, v_num=1, train_loss_step=4.53e+7, train_loss_epoch=4.63e+7]Epoch 138/300:  46%|████▌     | 138/300 [00:39<00:45,  3.58it/s, v_num=1, train_loss_step=3.98e+7, train_loss_epoch=4.56e+7]Epoch 139/300:  46%|████▌     | 138/300 [00:39<00:45,  3.58it/s, v_num=1, train_loss_step=3.98e+7, train_loss_epoch=4.56e+7]Epoch 139/300:  46%|████▋     | 139/300 [00:39<00:46,  3.48it/s, v_num=1, train_loss_step=3.98e+7, train_loss_epoch=4.56e+7]Epoch 139/300:  46%|████▋     | 139/300 [00:39<00:46,  3.48it/s, v_num=1, train_loss_step=4.52e+7, train_loss_epoch=4.49e+7]Epoch 140/300:  46%|████▋     | 139/300 [00:39<00:46,  3.48it/s, v_num=1, train_loss_step=4.52e+7, train_loss_epoch=4.49e+7]Epoch 140/300:  47%|████▋     | 140/300 [00:39<00:47,  3.40it/s, v_num=1, train_loss_step=4.52e+7, train_loss_epoch=4.49e+7]Epoch 140/300:  47%|████▋     | 140/300 [00:39<00:47,  3.40it/s, v_num=1, train_loss_step=4.07e+7, train_loss_epoch=4.43e+7]Epoch 141/300:  47%|████▋     | 140/300 [00:39<00:47,  3.40it/s, v_num=1, train_loss_step=4.07e+7, train_loss_epoch=4.43e+7]Epoch 141/300:  47%|████▋     | 141/300 [00:40<00:46,  3.40it/s, v_num=1, train_loss_step=4.07e+7, train_loss_epoch=4.43e+7]Epoch 141/300:  47%|████▋     | 141/300 [00:40<00:46,  3.40it/s, v_num=1, train_loss_step=4.29e+7, train_loss_epoch=4.36e+7]Epoch 142/300:  47%|████▋     | 141/300 [00:40<00:46,  3.40it/s, v_num=1, train_loss_step=4.29e+7, train_loss_epoch=4.36e+7]Epoch 142/300:  47%|████▋     | 142/300 [00:40<00:46,  3.42it/s, v_num=1, train_loss_step=4.29e+7, train_loss_epoch=4.36e+7]Epoch 142/300:  47%|████▋     | 142/300 [00:40<00:46,  3.42it/s, v_num=1, train_loss_step=4.11e+7, train_loss_epoch=4.3e+7] Epoch 143/300:  47%|████▋     | 142/300 [00:40<00:46,  3.42it/s, v_num=1, train_loss_step=4.11e+7, train_loss_epoch=4.3e+7]Epoch 143/300:  48%|████▊     | 143/300 [00:40<00:45,  3.43it/s, v_num=1, train_loss_step=4.11e+7, train_loss_epoch=4.3e+7]Epoch 143/300:  48%|████▊     | 143/300 [00:40<00:45,  3.43it/s, v_num=1, train_loss_step=4.19e+7, train_loss_epoch=4.24e+7]Epoch 144/300:  48%|████▊     | 143/300 [00:40<00:45,  3.43it/s, v_num=1, train_loss_step=4.19e+7, train_loss_epoch=4.24e+7]Epoch 144/300:  48%|████▊     | 144/300 [00:40<00:46,  3.33it/s, v_num=1, train_loss_step=4.19e+7, train_loss_epoch=4.24e+7]Epoch 144/300:  48%|████▊     | 144/300 [00:40<00:46,  3.33it/s, v_num=1, train_loss_step=3.85e+7, train_loss_epoch=4.18e+7]Epoch 145/300:  48%|████▊     | 144/300 [00:40<00:46,  3.33it/s, v_num=1, train_loss_step=3.85e+7, train_loss_epoch=4.18e+7]Epoch 145/300:  48%|████▊     | 145/300 [00:41<00:45,  3.40it/s, v_num=1, train_loss_step=3.85e+7, train_loss_epoch=4.18e+7]Epoch 145/300:  48%|████▊     | 145/300 [00:41<00:45,  3.40it/s, v_num=1, train_loss_step=4.38e+7, train_loss_epoch=4.12e+7]Epoch 146/300:  48%|████▊     | 145/300 [00:41<00:45,  3.40it/s, v_num=1, train_loss_step=4.38e+7, train_loss_epoch=4.12e+7]Epoch 146/300:  49%|████▊     | 146/300 [00:41<00:44,  3.42it/s, v_num=1, train_loss_step=4.38e+7, train_loss_epoch=4.12e+7]Epoch 146/300:  49%|████▊     | 146/300 [00:41<00:44,  3.42it/s, v_num=1, train_loss_step=3.82e+7, train_loss_epoch=4.06e+7]Epoch 147/300:  49%|████▊     | 146/300 [00:41<00:44,  3.42it/s, v_num=1, train_loss_step=3.82e+7, train_loss_epoch=4.06e+7]Epoch 147/300:  49%|████▉     | 147/300 [00:41<00:43,  3.48it/s, v_num=1, train_loss_step=3.82e+7, train_loss_epoch=4.06e+7]Epoch 147/300:  49%|████▉     | 147/300 [00:41<00:43,  3.48it/s, v_num=1, train_loss_step=3.7e+7, train_loss_epoch=4e+7]    Epoch 148/300:  49%|████▉     | 147/300 [00:41<00:43,  3.48it/s, v_num=1, train_loss_step=3.7e+7, train_loss_epoch=4e+7]Epoch 148/300:  49%|████▉     | 148/300 [00:42<00:42,  3.54it/s, v_num=1, train_loss_step=3.7e+7, train_loss_epoch=4e+7]Epoch 148/300:  49%|████▉     | 148/300 [00:42<00:42,  3.54it/s, v_num=1, train_loss_step=3.57e+7, train_loss_epoch=3.95e+7]Epoch 149/300:  49%|████▉     | 148/300 [00:42<00:42,  3.54it/s, v_num=1, train_loss_step=3.57e+7, train_loss_epoch=3.95e+7]Epoch 149/300:  50%|████▉     | 149/300 [00:42<00:42,  3.56it/s, v_num=1, train_loss_step=3.57e+7, train_loss_epoch=3.95e+7]Epoch 149/300:  50%|████▉     | 149/300 [00:42<00:42,  3.56it/s, v_num=1, train_loss_step=3.46e+7, train_loss_epoch=3.9e+7] Epoch 150/300:  50%|████▉     | 149/300 [00:42<00:42,  3.56it/s, v_num=1, train_loss_step=3.46e+7, train_loss_epoch=3.9e+7]Epoch 150/300:  50%|█████     | 150/300 [00:42<00:42,  3.56it/s, v_num=1, train_loss_step=3.46e+7, train_loss_epoch=3.9e+7]Epoch 150/300:  50%|█████     | 150/300 [00:42<00:42,  3.56it/s, v_num=1, train_loss_step=3.4e+7, train_loss_epoch=3.84e+7]Epoch 151/300:  50%|█████     | 150/300 [00:42<00:42,  3.56it/s, v_num=1, train_loss_step=3.4e+7, train_loss_epoch=3.84e+7]Epoch 151/300:  50%|█████     | 151/300 [00:42<00:41,  3.55it/s, v_num=1, train_loss_step=3.4e+7, train_loss_epoch=3.84e+7]Epoch 151/300:  50%|█████     | 151/300 [00:42<00:41,  3.55it/s, v_num=1, train_loss_step=3.6e+7, train_loss_epoch=3.79e+7]Epoch 152/300:  50%|█████     | 151/300 [00:42<00:41,  3.55it/s, v_num=1, train_loss_step=3.6e+7, train_loss_epoch=3.79e+7]Epoch 152/300:  51%|█████     | 152/300 [00:43<00:42,  3.51it/s, v_num=1, train_loss_step=3.6e+7, train_loss_epoch=3.79e+7]Epoch 152/300:  51%|█████     | 152/300 [00:43<00:42,  3.51it/s, v_num=1, train_loss_step=3.63e+7, train_loss_epoch=3.74e+7]Epoch 153/300:  51%|█████     | 152/300 [00:43<00:42,  3.51it/s, v_num=1, train_loss_step=3.63e+7, train_loss_epoch=3.74e+7]Epoch 153/300:  51%|█████     | 153/300 [00:43<00:42,  3.42it/s, v_num=1, train_loss_step=3.63e+7, train_loss_epoch=3.74e+7]Epoch 153/300:  51%|█████     | 153/300 [00:43<00:42,  3.42it/s, v_num=1, train_loss_step=3.37e+7, train_loss_epoch=3.69e+7]Epoch 154/300:  51%|█████     | 153/300 [00:43<00:42,  3.42it/s, v_num=1, train_loss_step=3.37e+7, train_loss_epoch=3.69e+7]Epoch 154/300:  51%|█████▏    | 154/300 [00:43<00:43,  3.37it/s, v_num=1, train_loss_step=3.37e+7, train_loss_epoch=3.69e+7]Epoch 154/300:  51%|█████▏    | 154/300 [00:43<00:43,  3.37it/s, v_num=1, train_loss_step=3.73e+7, train_loss_epoch=3.64e+7]Epoch 155/300:  51%|█████▏    | 154/300 [00:43<00:43,  3.37it/s, v_num=1, train_loss_step=3.73e+7, train_loss_epoch=3.64e+7]Epoch 155/300:  52%|█████▏    | 155/300 [00:44<00:42,  3.39it/s, v_num=1, train_loss_step=3.73e+7, train_loss_epoch=3.64e+7]Epoch 155/300:  52%|█████▏    | 155/300 [00:44<00:42,  3.39it/s, v_num=1, train_loss_step=3.53e+7, train_loss_epoch=3.6e+7] Epoch 156/300:  52%|█████▏    | 155/300 [00:44<00:42,  3.39it/s, v_num=1, train_loss_step=3.53e+7, train_loss_epoch=3.6e+7]Epoch 156/300:  52%|█████▏    | 156/300 [00:44<00:41,  3.46it/s, v_num=1, train_loss_step=3.53e+7, train_loss_epoch=3.6e+7]Epoch 156/300:  52%|█████▏    | 156/300 [00:44<00:41,  3.46it/s, v_num=1, train_loss_step=3.31e+7, train_loss_epoch=3.55e+7]Epoch 157/300:  52%|█████▏    | 156/300 [00:44<00:41,  3.46it/s, v_num=1, train_loss_step=3.31e+7, train_loss_epoch=3.55e+7]Epoch 157/300:  52%|█████▏    | 157/300 [00:44<00:42,  3.36it/s, v_num=1, train_loss_step=3.31e+7, train_loss_epoch=3.55e+7]Epoch 157/300:  52%|█████▏    | 157/300 [00:44<00:42,  3.36it/s, v_num=1, train_loss_step=3.33e+7, train_loss_epoch=3.5e+7] Epoch 158/300:  52%|█████▏    | 157/300 [00:44<00:42,  3.36it/s, v_num=1, train_loss_step=3.33e+7, train_loss_epoch=3.5e+7]Epoch 158/300:  53%|█████▎    | 158/300 [00:45<00:42,  3.38it/s, v_num=1, train_loss_step=3.33e+7, train_loss_epoch=3.5e+7]Epoch 158/300:  53%|█████▎    | 158/300 [00:45<00:42,  3.38it/s, v_num=1, train_loss_step=3.36e+7, train_loss_epoch=3.46e+7]Epoch 159/300:  53%|█████▎    | 158/300 [00:45<00:42,  3.38it/s, v_num=1, train_loss_step=3.36e+7, train_loss_epoch=3.46e+7]Epoch 159/300:  53%|█████▎    | 159/300 [00:45<00:40,  3.47it/s, v_num=1, train_loss_step=3.36e+7, train_loss_epoch=3.46e+7]Epoch 159/300:  53%|█████▎    | 159/300 [00:45<00:40,  3.47it/s, v_num=1, train_loss_step=3.24e+7, train_loss_epoch=3.42e+7]Epoch 160/300:  53%|█████▎    | 159/300 [00:45<00:40,  3.47it/s, v_num=1, train_loss_step=3.24e+7, train_loss_epoch=3.42e+7]Epoch 160/300:  53%|█████▎    | 160/300 [00:45<00:40,  3.50it/s, v_num=1, train_loss_step=3.24e+7, train_loss_epoch=3.42e+7]Epoch 160/300:  53%|█████▎    | 160/300 [00:45<00:40,  3.50it/s, v_num=1, train_loss_step=3.13e+7, train_loss_epoch=3.38e+7]Epoch 161/300:  53%|█████▎    | 160/300 [00:45<00:40,  3.50it/s, v_num=1, train_loss_step=3.13e+7, train_loss_epoch=3.38e+7]Epoch 161/300:  54%|█████▎    | 161/300 [00:45<00:39,  3.56it/s, v_num=1, train_loss_step=3.13e+7, train_loss_epoch=3.38e+7]Epoch 161/300:  54%|█████▎    | 161/300 [00:45<00:39,  3.56it/s, v_num=1, train_loss_step=3e+7, train_loss_epoch=3.33e+7]   Epoch 162/300:  54%|█████▎    | 161/300 [00:45<00:39,  3.56it/s, v_num=1, train_loss_step=3e+7, train_loss_epoch=3.33e+7]Epoch 162/300:  54%|█████▍    | 162/300 [00:46<00:38,  3.59it/s, v_num=1, train_loss_step=3e+7, train_loss_epoch=3.33e+7]Epoch 162/300:  54%|█████▍    | 162/300 [00:46<00:38,  3.59it/s, v_num=1, train_loss_step=2.99e+7, train_loss_epoch=3.29e+7]Epoch 163/300:  54%|█████▍    | 162/300 [00:46<00:38,  3.59it/s, v_num=1, train_loss_step=2.99e+7, train_loss_epoch=3.29e+7]Epoch 163/300:  54%|█████▍    | 163/300 [00:46<00:38,  3.58it/s, v_num=1, train_loss_step=2.99e+7, train_loss_epoch=3.29e+7]Epoch 163/300:  54%|█████▍    | 163/300 [00:46<00:38,  3.58it/s, v_num=1, train_loss_step=3.03e+7, train_loss_epoch=3.25e+7]Epoch 164/300:  54%|█████▍    | 163/300 [00:46<00:38,  3.58it/s, v_num=1, train_loss_step=3.03e+7, train_loss_epoch=3.25e+7]Epoch 164/300:  55%|█████▍    | 164/300 [00:46<00:39,  3.48it/s, v_num=1, train_loss_step=3.03e+7, train_loss_epoch=3.25e+7]Epoch 164/300:  55%|█████▍    | 164/300 [00:46<00:39,  3.48it/s, v_num=1, train_loss_step=3.11e+7, train_loss_epoch=3.21e+7]Epoch 165/300:  55%|█████▍    | 164/300 [00:46<00:39,  3.48it/s, v_num=1, train_loss_step=3.11e+7, train_loss_epoch=3.21e+7]Epoch 165/300:  55%|█████▌    | 165/300 [00:46<00:39,  3.39it/s, v_num=1, train_loss_step=3.11e+7, train_loss_epoch=3.21e+7]Epoch 165/300:  55%|█████▌    | 165/300 [00:46<00:39,  3.39it/s, v_num=1, train_loss_step=2.9e+7, train_loss_epoch=3.18e+7] Epoch 166/300:  55%|█████▌    | 165/300 [00:47<00:39,  3.39it/s, v_num=1, train_loss_step=2.9e+7, train_loss_epoch=3.18e+7]Epoch 166/300:  55%|█████▌    | 166/300 [00:47<00:39,  3.39it/s, v_num=1, train_loss_step=2.9e+7, train_loss_epoch=3.18e+7]Epoch 166/300:  55%|█████▌    | 166/300 [00:47<00:39,  3.39it/s, v_num=1, train_loss_step=2.79e+7, train_loss_epoch=3.14e+7]Epoch 167/300:  55%|█████▌    | 166/300 [00:47<00:39,  3.39it/s, v_num=1, train_loss_step=2.79e+7, train_loss_epoch=3.14e+7]Epoch 167/300:  56%|█████▌    | 167/300 [00:47<00:38,  3.42it/s, v_num=1, train_loss_step=2.79e+7, train_loss_epoch=3.14e+7]Epoch 167/300:  56%|█████▌    | 167/300 [00:47<00:38,  3.42it/s, v_num=1, train_loss_step=3.1e+7, train_loss_epoch=3.1e+7]  Epoch 168/300:  56%|█████▌    | 167/300 [00:47<00:38,  3.42it/s, v_num=1, train_loss_step=3.1e+7, train_loss_epoch=3.1e+7]Epoch 168/300:  56%|█████▌    | 168/300 [00:47<00:38,  3.47it/s, v_num=1, train_loss_step=3.1e+7, train_loss_epoch=3.1e+7]Epoch 168/300:  56%|█████▌    | 168/300 [00:47<00:38,  3.47it/s, v_num=1, train_loss_step=2.95e+7, train_loss_epoch=3.07e+7]Epoch 169/300:  56%|█████▌    | 168/300 [00:47<00:38,  3.47it/s, v_num=1, train_loss_step=2.95e+7, train_loss_epoch=3.07e+7]Epoch 169/300:  56%|█████▋    | 169/300 [00:48<00:37,  3.50it/s, v_num=1, train_loss_step=2.95e+7, train_loss_epoch=3.07e+7]Epoch 169/300:  56%|█████▋    | 169/300 [00:48<00:37,  3.50it/s, v_num=1, train_loss_step=2.95e+7, train_loss_epoch=3.03e+7]Epoch 170/300:  56%|█████▋    | 169/300 [00:48<00:37,  3.50it/s, v_num=1, train_loss_step=2.95e+7, train_loss_epoch=3.03e+7]Epoch 170/300:  57%|█████▋    | 170/300 [00:48<00:36,  3.53it/s, v_num=1, train_loss_step=2.95e+7, train_loss_epoch=3.03e+7]Epoch 170/300:  57%|█████▋    | 170/300 [00:48<00:36,  3.53it/s, v_num=1, train_loss_step=2.7e+7, train_loss_epoch=3e+7]    Epoch 171/300:  57%|█████▋    | 170/300 [00:48<00:36,  3.53it/s, v_num=1, train_loss_step=2.7e+7, train_loss_epoch=3e+7]Epoch 171/300:  57%|█████▋    | 171/300 [00:48<00:36,  3.52it/s, v_num=1, train_loss_step=2.7e+7, train_loss_epoch=3e+7]Epoch 171/300:  57%|█████▋    | 171/300 [00:48<00:36,  3.52it/s, v_num=1, train_loss_step=2.76e+7, train_loss_epoch=2.96e+7]Epoch 172/300:  57%|█████▋    | 171/300 [00:48<00:36,  3.52it/s, v_num=1, train_loss_step=2.76e+7, train_loss_epoch=2.96e+7]Epoch 172/300:  57%|█████▋    | 172/300 [00:48<00:36,  3.52it/s, v_num=1, train_loss_step=2.76e+7, train_loss_epoch=2.96e+7]Epoch 172/300:  57%|█████▋    | 172/300 [00:48<00:36,  3.52it/s, v_num=1, train_loss_step=2.82e+7, train_loss_epoch=2.93e+7]Epoch 173/300:  57%|█████▋    | 172/300 [00:48<00:36,  3.52it/s, v_num=1, train_loss_step=2.82e+7, train_loss_epoch=2.93e+7]Epoch 173/300:  58%|█████▊    | 173/300 [00:49<00:36,  3.52it/s, v_num=1, train_loss_step=2.82e+7, train_loss_epoch=2.93e+7]Epoch 173/300:  58%|█████▊    | 173/300 [00:49<00:36,  3.52it/s, v_num=1, train_loss_step=2.77e+7, train_loss_epoch=2.9e+7] Epoch 174/300:  58%|█████▊    | 173/300 [00:49<00:36,  3.52it/s, v_num=1, train_loss_step=2.77e+7, train_loss_epoch=2.9e+7]Epoch 174/300:  58%|█████▊    | 174/300 [00:49<00:35,  3.51it/s, v_num=1, train_loss_step=2.77e+7, train_loss_epoch=2.9e+7]Epoch 174/300:  58%|█████▊    | 174/300 [00:49<00:35,  3.51it/s, v_num=1, train_loss_step=2.79e+7, train_loss_epoch=2.87e+7]Epoch 175/300:  58%|█████▊    | 174/300 [00:49<00:35,  3.51it/s, v_num=1, train_loss_step=2.79e+7, train_loss_epoch=2.87e+7]Epoch 175/300:  58%|█████▊    | 175/300 [00:49<00:35,  3.52it/s, v_num=1, train_loss_step=2.79e+7, train_loss_epoch=2.87e+7]Epoch 175/300:  58%|█████▊    | 175/300 [00:49<00:35,  3.52it/s, v_num=1, train_loss_step=2.68e+7, train_loss_epoch=2.84e+7]Epoch 176/300:  58%|█████▊    | 175/300 [00:49<00:35,  3.52it/s, v_num=1, train_loss_step=2.68e+7, train_loss_epoch=2.84e+7]Epoch 176/300:  59%|█████▊    | 176/300 [00:50<00:36,  3.36it/s, v_num=1, train_loss_step=2.68e+7, train_loss_epoch=2.84e+7]Epoch 176/300:  59%|█████▊    | 176/300 [00:50<00:36,  3.36it/s, v_num=1, train_loss_step=2.89e+7, train_loss_epoch=2.81e+7]Epoch 177/300:  59%|█████▊    | 176/300 [00:50<00:36,  3.36it/s, v_num=1, train_loss_step=2.89e+7, train_loss_epoch=2.81e+7]Epoch 177/300:  59%|█████▉    | 177/300 [00:50<00:36,  3.40it/s, v_num=1, train_loss_step=2.89e+7, train_loss_epoch=2.81e+7]Epoch 177/300:  59%|█████▉    | 177/300 [00:50<00:36,  3.40it/s, v_num=1, train_loss_step=2.58e+7, train_loss_epoch=2.78e+7]Epoch 178/300:  59%|█████▉    | 177/300 [00:50<00:36,  3.40it/s, v_num=1, train_loss_step=2.58e+7, train_loss_epoch=2.78e+7]Epoch 178/300:  59%|█████▉    | 178/300 [00:50<00:35,  3.44it/s, v_num=1, train_loss_step=2.58e+7, train_loss_epoch=2.78e+7]Epoch 178/300:  59%|█████▉    | 178/300 [00:50<00:35,  3.44it/s, v_num=1, train_loss_step=2.68e+7, train_loss_epoch=2.75e+7]Epoch 179/300:  59%|█████▉    | 178/300 [00:50<00:35,  3.44it/s, v_num=1, train_loss_step=2.68e+7, train_loss_epoch=2.75e+7]Epoch 179/300:  60%|█████▉    | 179/300 [00:51<00:34,  3.46it/s, v_num=1, train_loss_step=2.68e+7, train_loss_epoch=2.75e+7]Epoch 179/300:  60%|█████▉    | 179/300 [00:51<00:34,  3.46it/s, v_num=1, train_loss_step=2.81e+7, train_loss_epoch=2.72e+7]Epoch 180/300:  60%|█████▉    | 179/300 [00:51<00:34,  3.46it/s, v_num=1, train_loss_step=2.81e+7, train_loss_epoch=2.72e+7]Epoch 180/300:  60%|██████    | 180/300 [00:51<00:34,  3.51it/s, v_num=1, train_loss_step=2.81e+7, train_loss_epoch=2.72e+7]Epoch 180/300:  60%|██████    | 180/300 [00:51<00:34,  3.51it/s, v_num=1, train_loss_step=2.64e+7, train_loss_epoch=2.69e+7]Epoch 181/300:  60%|██████    | 180/300 [00:51<00:34,  3.51it/s, v_num=1, train_loss_step=2.64e+7, train_loss_epoch=2.69e+7]Epoch 181/300:  60%|██████    | 181/300 [00:51<00:33,  3.54it/s, v_num=1, train_loss_step=2.64e+7, train_loss_epoch=2.69e+7]Epoch 181/300:  60%|██████    | 181/300 [00:51<00:33,  3.54it/s, v_num=1, train_loss_step=2.55e+7, train_loss_epoch=2.66e+7]Epoch 182/300:  60%|██████    | 181/300 [00:51<00:33,  3.54it/s, v_num=1, train_loss_step=2.55e+7, train_loss_epoch=2.66e+7]Epoch 182/300:  61%|██████    | 182/300 [00:51<00:33,  3.54it/s, v_num=1, train_loss_step=2.55e+7, train_loss_epoch=2.66e+7]Epoch 182/300:  61%|██████    | 182/300 [00:51<00:33,  3.54it/s, v_num=1, train_loss_step=2.7e+7, train_loss_epoch=2.64e+7] Epoch 183/300:  61%|██████    | 182/300 [00:51<00:33,  3.54it/s, v_num=1, train_loss_step=2.7e+7, train_loss_epoch=2.64e+7]Epoch 183/300:  61%|██████    | 183/300 [00:52<00:33,  3.52it/s, v_num=1, train_loss_step=2.7e+7, train_loss_epoch=2.64e+7]Epoch 183/300:  61%|██████    | 183/300 [00:52<00:33,  3.52it/s, v_num=1, train_loss_step=2.7e+7, train_loss_epoch=2.61e+7]Epoch 184/300:  61%|██████    | 183/300 [00:52<00:33,  3.52it/s, v_num=1, train_loss_step=2.7e+7, train_loss_epoch=2.61e+7]Epoch 184/300:  61%|██████▏   | 184/300 [00:52<00:33,  3.51it/s, v_num=1, train_loss_step=2.7e+7, train_loss_epoch=2.61e+7]Epoch 184/300:  61%|██████▏   | 184/300 [00:52<00:33,  3.51it/s, v_num=1, train_loss_step=2.29e+7, train_loss_epoch=2.59e+7]Epoch 185/300:  61%|██████▏   | 184/300 [00:52<00:33,  3.51it/s, v_num=1, train_loss_step=2.29e+7, train_loss_epoch=2.59e+7]Epoch 185/300:  62%|██████▏   | 185/300 [00:52<00:32,  3.52it/s, v_num=1, train_loss_step=2.29e+7, train_loss_epoch=2.59e+7]Epoch 185/300:  62%|██████▏   | 185/300 [00:52<00:32,  3.52it/s, v_num=1, train_loss_step=2.39e+7, train_loss_epoch=2.56e+7]Epoch 186/300:  62%|██████▏   | 185/300 [00:52<00:32,  3.52it/s, v_num=1, train_loss_step=2.39e+7, train_loss_epoch=2.56e+7]Epoch 186/300:  62%|██████▏   | 186/300 [00:53<00:32,  3.48it/s, v_num=1, train_loss_step=2.39e+7, train_loss_epoch=2.56e+7]Epoch 186/300:  62%|██████▏   | 186/300 [00:53<00:32,  3.48it/s, v_num=1, train_loss_step=2.37e+7, train_loss_epoch=2.54e+7]Epoch 187/300:  62%|██████▏   | 186/300 [00:53<00:32,  3.48it/s, v_num=1, train_loss_step=2.37e+7, train_loss_epoch=2.54e+7]Epoch 187/300:  62%|██████▏   | 187/300 [00:53<00:32,  3.52it/s, v_num=1, train_loss_step=2.37e+7, train_loss_epoch=2.54e+7]Epoch 187/300:  62%|██████▏   | 187/300 [00:53<00:32,  3.52it/s, v_num=1, train_loss_step=2.42e+7, train_loss_epoch=2.51e+7]Epoch 188/300:  62%|██████▏   | 187/300 [00:53<00:32,  3.52it/s, v_num=1, train_loss_step=2.42e+7, train_loss_epoch=2.51e+7]Epoch 188/300:  63%|██████▎   | 188/300 [00:53<00:32,  3.46it/s, v_num=1, train_loss_step=2.42e+7, train_loss_epoch=2.51e+7]Epoch 188/300:  63%|██████▎   | 188/300 [00:53<00:32,  3.46it/s, v_num=1, train_loss_step=2.44e+7, train_loss_epoch=2.49e+7]Epoch 189/300:  63%|██████▎   | 188/300 [00:53<00:32,  3.46it/s, v_num=1, train_loss_step=2.44e+7, train_loss_epoch=2.49e+7]Epoch 189/300:  63%|██████▎   | 189/300 [00:53<00:32,  3.42it/s, v_num=1, train_loss_step=2.44e+7, train_loss_epoch=2.49e+7]Epoch 189/300:  63%|██████▎   | 189/300 [00:53<00:32,  3.42it/s, v_num=1, train_loss_step=2.44e+7, train_loss_epoch=2.46e+7]Epoch 190/300:  63%|██████▎   | 189/300 [00:53<00:32,  3.42it/s, v_num=1, train_loss_step=2.44e+7, train_loss_epoch=2.46e+7]Epoch 190/300:  63%|██████▎   | 190/300 [00:54<00:32,  3.41it/s, v_num=1, train_loss_step=2.44e+7, train_loss_epoch=2.46e+7]Epoch 190/300:  63%|██████▎   | 190/300 [00:54<00:32,  3.41it/s, v_num=1, train_loss_step=2.39e+7, train_loss_epoch=2.44e+7]Epoch 191/300:  63%|██████▎   | 190/300 [00:54<00:32,  3.41it/s, v_num=1, train_loss_step=2.39e+7, train_loss_epoch=2.44e+7]Epoch 191/300:  64%|██████▎   | 191/300 [00:54<00:31,  3.42it/s, v_num=1, train_loss_step=2.39e+7, train_loss_epoch=2.44e+7]Epoch 191/300:  64%|██████▎   | 191/300 [00:54<00:31,  3.42it/s, v_num=1, train_loss_step=2.49e+7, train_loss_epoch=2.42e+7]Epoch 192/300:  64%|██████▎   | 191/300 [00:54<00:31,  3.42it/s, v_num=1, train_loss_step=2.49e+7, train_loss_epoch=2.42e+7]Epoch 192/300:  64%|██████▍   | 192/300 [00:54<00:31,  3.44it/s, v_num=1, train_loss_step=2.49e+7, train_loss_epoch=2.42e+7]Epoch 192/300:  64%|██████▍   | 192/300 [00:54<00:31,  3.44it/s, v_num=1, train_loss_step=2.16e+7, train_loss_epoch=2.4e+7] Epoch 193/300:  64%|██████▍   | 192/300 [00:54<00:31,  3.44it/s, v_num=1, train_loss_step=2.16e+7, train_loss_epoch=2.4e+7]Epoch 193/300:  64%|██████▍   | 193/300 [00:55<00:30,  3.46it/s, v_num=1, train_loss_step=2.16e+7, train_loss_epoch=2.4e+7]Epoch 193/300:  64%|██████▍   | 193/300 [00:55<00:30,  3.46it/s, v_num=1, train_loss_step=2.28e+7, train_loss_epoch=2.38e+7]Epoch 194/300:  64%|██████▍   | 193/300 [00:55<00:30,  3.46it/s, v_num=1, train_loss_step=2.28e+7, train_loss_epoch=2.38e+7]Epoch 194/300:  65%|██████▍   | 194/300 [00:55<00:31,  3.36it/s, v_num=1, train_loss_step=2.28e+7, train_loss_epoch=2.38e+7]Epoch 194/300:  65%|██████▍   | 194/300 [00:55<00:31,  3.36it/s, v_num=1, train_loss_step=2.26e+7, train_loss_epoch=2.35e+7]Epoch 195/300:  65%|██████▍   | 194/300 [00:55<00:31,  3.36it/s, v_num=1, train_loss_step=2.26e+7, train_loss_epoch=2.35e+7]Epoch 195/300:  65%|██████▌   | 195/300 [00:55<00:31,  3.30it/s, v_num=1, train_loss_step=2.26e+7, train_loss_epoch=2.35e+7]Epoch 195/300:  65%|██████▌   | 195/300 [00:55<00:31,  3.30it/s, v_num=1, train_loss_step=2.16e+7, train_loss_epoch=2.33e+7]Epoch 196/300:  65%|██████▌   | 195/300 [00:55<00:31,  3.30it/s, v_num=1, train_loss_step=2.16e+7, train_loss_epoch=2.33e+7]Epoch 196/300:  65%|██████▌   | 196/300 [00:55<00:31,  3.30it/s, v_num=1, train_loss_step=2.16e+7, train_loss_epoch=2.33e+7]Epoch 196/300:  65%|██████▌   | 196/300 [00:55<00:31,  3.30it/s, v_num=1, train_loss_step=2.07e+7, train_loss_epoch=2.31e+7]Epoch 197/300:  65%|██████▌   | 196/300 [00:55<00:31,  3.30it/s, v_num=1, train_loss_step=2.07e+7, train_loss_epoch=2.31e+7]Epoch 197/300:  66%|██████▌   | 197/300 [00:56<00:31,  3.29it/s, v_num=1, train_loss_step=2.07e+7, train_loss_epoch=2.31e+7]Epoch 197/300:  66%|██████▌   | 197/300 [00:56<00:31,  3.29it/s, v_num=1, train_loss_step=2.26e+7, train_loss_epoch=2.29e+7]Epoch 198/300:  66%|██████▌   | 197/300 [00:56<00:31,  3.29it/s, v_num=1, train_loss_step=2.26e+7, train_loss_epoch=2.29e+7]Epoch 198/300:  66%|██████▌   | 198/300 [00:56<00:31,  3.27it/s, v_num=1, train_loss_step=2.26e+7, train_loss_epoch=2.29e+7]Epoch 198/300:  66%|██████▌   | 198/300 [00:56<00:31,  3.27it/s, v_num=1, train_loss_step=2.08e+7, train_loss_epoch=2.27e+7]Epoch 199/300:  66%|██████▌   | 198/300 [00:56<00:31,  3.27it/s, v_num=1, train_loss_step=2.08e+7, train_loss_epoch=2.27e+7]Epoch 199/300:  66%|██████▋   | 199/300 [00:56<00:31,  3.23it/s, v_num=1, train_loss_step=2.08e+7, train_loss_epoch=2.27e+7]Epoch 199/300:  66%|██████▋   | 199/300 [00:56<00:31,  3.23it/s, v_num=1, train_loss_step=2.18e+7, train_loss_epoch=2.25e+7]Epoch 200/300:  66%|██████▋   | 199/300 [00:56<00:31,  3.23it/s, v_num=1, train_loss_step=2.18e+7, train_loss_epoch=2.25e+7]Epoch 200/300:  67%|██████▋   | 200/300 [00:57<00:30,  3.28it/s, v_num=1, train_loss_step=2.18e+7, train_loss_epoch=2.25e+7]Epoch 200/300:  67%|██████▋   | 200/300 [00:57<00:30,  3.28it/s, v_num=1, train_loss_step=2.18e+7, train_loss_epoch=2.24e+7]Epoch 201/300:  67%|██████▋   | 200/300 [00:57<00:30,  3.28it/s, v_num=1, train_loss_step=2.18e+7, train_loss_epoch=2.24e+7]Epoch 201/300:  67%|██████▋   | 201/300 [00:57<00:29,  3.33it/s, v_num=1, train_loss_step=2.18e+7, train_loss_epoch=2.24e+7]Epoch 201/300:  67%|██████▋   | 201/300 [00:57<00:29,  3.33it/s, v_num=1, train_loss_step=2.05e+7, train_loss_epoch=2.22e+7]Epoch 202/300:  67%|██████▋   | 201/300 [00:57<00:29,  3.33it/s, v_num=1, train_loss_step=2.05e+7, train_loss_epoch=2.22e+7]Epoch 202/300:  67%|██████▋   | 202/300 [00:57<00:29,  3.34it/s, v_num=1, train_loss_step=2.05e+7, train_loss_epoch=2.22e+7]Epoch 202/300:  67%|██████▋   | 202/300 [00:57<00:29,  3.34it/s, v_num=1, train_loss_step=2.04e+7, train_loss_epoch=2.2e+7] Epoch 203/300:  67%|██████▋   | 202/300 [00:57<00:29,  3.34it/s, v_num=1, train_loss_step=2.04e+7, train_loss_epoch=2.2e+7]Epoch 203/300:  68%|██████▊   | 203/300 [00:58<00:29,  3.32it/s, v_num=1, train_loss_step=2.04e+7, train_loss_epoch=2.2e+7]Epoch 203/300:  68%|██████▊   | 203/300 [00:58<00:29,  3.32it/s, v_num=1, train_loss_step=2.03e+7, train_loss_epoch=2.18e+7]Epoch 204/300:  68%|██████▊   | 203/300 [00:58<00:29,  3.32it/s, v_num=1, train_loss_step=2.03e+7, train_loss_epoch=2.18e+7]Epoch 204/300:  68%|██████▊   | 204/300 [00:58<00:28,  3.38it/s, v_num=1, train_loss_step=2.03e+7, train_loss_epoch=2.18e+7]Epoch 204/300:  68%|██████▊   | 204/300 [00:58<00:28,  3.38it/s, v_num=1, train_loss_step=2.17e+7, train_loss_epoch=2.16e+7]Epoch 205/300:  68%|██████▊   | 204/300 [00:58<00:28,  3.38it/s, v_num=1, train_loss_step=2.17e+7, train_loss_epoch=2.16e+7]Epoch 205/300:  68%|██████▊   | 205/300 [00:58<00:27,  3.45it/s, v_num=1, train_loss_step=2.17e+7, train_loss_epoch=2.16e+7]Epoch 205/300:  68%|██████▊   | 205/300 [00:58<00:27,  3.45it/s, v_num=1, train_loss_step=1.94e+7, train_loss_epoch=2.15e+7]Epoch 206/300:  68%|██████▊   | 205/300 [00:58<00:27,  3.45it/s, v_num=1, train_loss_step=1.94e+7, train_loss_epoch=2.15e+7]Epoch 206/300:  69%|██████▊   | 206/300 [00:58<00:27,  3.47it/s, v_num=1, train_loss_step=1.94e+7, train_loss_epoch=2.15e+7]Epoch 206/300:  69%|██████▊   | 206/300 [00:58<00:27,  3.47it/s, v_num=1, train_loss_step=2.16e+7, train_loss_epoch=2.13e+7]Epoch 207/300:  69%|██████▊   | 206/300 [00:58<00:27,  3.47it/s, v_num=1, train_loss_step=2.16e+7, train_loss_epoch=2.13e+7]Epoch 207/300:  69%|██████▉   | 207/300 [00:59<00:26,  3.46it/s, v_num=1, train_loss_step=2.16e+7, train_loss_epoch=2.13e+7]Epoch 207/300:  69%|██████▉   | 207/300 [00:59<00:26,  3.46it/s, v_num=1, train_loss_step=1.89e+7, train_loss_epoch=2.11e+7]Epoch 208/300:  69%|██████▉   | 207/300 [00:59<00:26,  3.46it/s, v_num=1, train_loss_step=1.89e+7, train_loss_epoch=2.11e+7]Epoch 208/300:  69%|██████▉   | 208/300 [00:59<00:27,  3.38it/s, v_num=1, train_loss_step=1.89e+7, train_loss_epoch=2.11e+7]Epoch 208/300:  69%|██████▉   | 208/300 [00:59<00:27,  3.38it/s, v_num=1, train_loss_step=1.9e+7, train_loss_epoch=2.1e+7]  Epoch 209/300:  69%|██████▉   | 208/300 [00:59<00:27,  3.38it/s, v_num=1, train_loss_step=1.9e+7, train_loss_epoch=2.1e+7]Epoch 209/300:  70%|██████▉   | 209/300 [00:59<00:27,  3.32it/s, v_num=1, train_loss_step=1.9e+7, train_loss_epoch=2.1e+7]Epoch 209/300:  70%|██████▉   | 209/300 [00:59<00:27,  3.32it/s, v_num=1, train_loss_step=2.05e+7, train_loss_epoch=2.08e+7]Epoch 210/300:  70%|██████▉   | 209/300 [00:59<00:27,  3.32it/s, v_num=1, train_loss_step=2.05e+7, train_loss_epoch=2.08e+7]Epoch 210/300:  70%|███████   | 210/300 [01:00<00:27,  3.31it/s, v_num=1, train_loss_step=2.05e+7, train_loss_epoch=2.08e+7]Epoch 210/300:  70%|███████   | 210/300 [01:00<00:27,  3.31it/s, v_num=1, train_loss_step=2.02e+7, train_loss_epoch=2.06e+7]Epoch 211/300:  70%|███████   | 210/300 [01:00<00:27,  3.31it/s, v_num=1, train_loss_step=2.02e+7, train_loss_epoch=2.06e+7]Epoch 211/300:  70%|███████   | 211/300 [01:00<00:27,  3.29it/s, v_num=1, train_loss_step=2.02e+7, train_loss_epoch=2.06e+7]Epoch 211/300:  70%|███████   | 211/300 [01:00<00:27,  3.29it/s, v_num=1, train_loss_step=2.16e+7, train_loss_epoch=2.05e+7]Epoch 212/300:  70%|███████   | 211/300 [01:00<00:27,  3.29it/s, v_num=1, train_loss_step=2.16e+7, train_loss_epoch=2.05e+7]Epoch 212/300:  71%|███████   | 212/300 [01:00<00:27,  3.23it/s, v_num=1, train_loss_step=2.16e+7, train_loss_epoch=2.05e+7]Epoch 212/300:  71%|███████   | 212/300 [01:00<00:27,  3.23it/s, v_num=1, train_loss_step=1.93e+7, train_loss_epoch=2.03e+7]Epoch 213/300:  71%|███████   | 212/300 [01:00<00:27,  3.23it/s, v_num=1, train_loss_step=1.93e+7, train_loss_epoch=2.03e+7]Epoch 213/300:  71%|███████   | 213/300 [01:01<00:26,  3.28it/s, v_num=1, train_loss_step=1.93e+7, train_loss_epoch=2.03e+7]Epoch 213/300:  71%|███████   | 213/300 [01:01<00:26,  3.28it/s, v_num=1, train_loss_step=1.89e+7, train_loss_epoch=2.02e+7]Epoch 214/300:  71%|███████   | 213/300 [01:01<00:26,  3.28it/s, v_num=1, train_loss_step=1.89e+7, train_loss_epoch=2.02e+7]Epoch 214/300:  71%|███████▏  | 214/300 [01:01<00:25,  3.32it/s, v_num=1, train_loss_step=1.89e+7, train_loss_epoch=2.02e+7]Epoch 214/300:  71%|███████▏  | 214/300 [01:01<00:25,  3.32it/s, v_num=1, train_loss_step=1.98e+7, train_loss_epoch=2e+7]   Epoch 215/300:  71%|███████▏  | 214/300 [01:01<00:25,  3.32it/s, v_num=1, train_loss_step=1.98e+7, train_loss_epoch=2e+7]Epoch 215/300:  72%|███████▏  | 215/300 [01:01<00:25,  3.38it/s, v_num=1, train_loss_step=1.98e+7, train_loss_epoch=2e+7]Epoch 215/300:  72%|███████▏  | 215/300 [01:01<00:25,  3.38it/s, v_num=1, train_loss_step=1.78e+7, train_loss_epoch=1.99e+7]Epoch 216/300:  72%|███████▏  | 215/300 [01:01<00:25,  3.38it/s, v_num=1, train_loss_step=1.78e+7, train_loss_epoch=1.99e+7]Epoch 216/300:  72%|███████▏  | 216/300 [01:01<00:24,  3.40it/s, v_num=1, train_loss_step=1.78e+7, train_loss_epoch=1.99e+7]Epoch 216/300:  72%|███████▏  | 216/300 [01:01<00:24,  3.40it/s, v_num=1, train_loss_step=1.82e+7, train_loss_epoch=1.98e+7]Epoch 217/300:  72%|███████▏  | 216/300 [01:01<00:24,  3.40it/s, v_num=1, train_loss_step=1.82e+7, train_loss_epoch=1.98e+7]Epoch 217/300:  72%|███████▏  | 217/300 [01:02<00:24,  3.40it/s, v_num=1, train_loss_step=1.82e+7, train_loss_epoch=1.98e+7]Epoch 217/300:  72%|███████▏  | 217/300 [01:02<00:24,  3.40it/s, v_num=1, train_loss_step=2.02e+7, train_loss_epoch=1.96e+7]Epoch 218/300:  72%|███████▏  | 217/300 [01:02<00:24,  3.40it/s, v_num=1, train_loss_step=2.02e+7, train_loss_epoch=1.96e+7]Epoch 218/300:  73%|███████▎  | 218/300 [01:02<00:23,  3.43it/s, v_num=1, train_loss_step=2.02e+7, train_loss_epoch=1.96e+7]Epoch 218/300:  73%|███████▎  | 218/300 [01:02<00:23,  3.43it/s, v_num=1, train_loss_step=1.78e+7, train_loss_epoch=1.95e+7]Epoch 219/300:  73%|███████▎  | 218/300 [01:02<00:23,  3.43it/s, v_num=1, train_loss_step=1.78e+7, train_loss_epoch=1.95e+7]Epoch 219/300:  73%|███████▎  | 219/300 [01:02<00:23,  3.47it/s, v_num=1, train_loss_step=1.78e+7, train_loss_epoch=1.95e+7]Epoch 219/300:  73%|███████▎  | 219/300 [01:02<00:23,  3.47it/s, v_num=1, train_loss_step=1.86e+7, train_loss_epoch=1.93e+7]Epoch 220/300:  73%|███████▎  | 219/300 [01:02<00:23,  3.47it/s, v_num=1, train_loss_step=1.86e+7, train_loss_epoch=1.93e+7]Epoch 220/300:  73%|███████▎  | 220/300 [01:03<00:23,  3.40it/s, v_num=1, train_loss_step=1.86e+7, train_loss_epoch=1.93e+7]Epoch 220/300:  73%|███████▎  | 220/300 [01:03<00:23,  3.40it/s, v_num=1, train_loss_step=1.72e+7, train_loss_epoch=1.92e+7]Epoch 221/300:  73%|███████▎  | 220/300 [01:03<00:23,  3.40it/s, v_num=1, train_loss_step=1.72e+7, train_loss_epoch=1.92e+7]Epoch 221/300:  74%|███████▎  | 221/300 [01:03<00:22,  3.44it/s, v_num=1, train_loss_step=1.72e+7, train_loss_epoch=1.92e+7]Epoch 221/300:  74%|███████▎  | 221/300 [01:03<00:22,  3.44it/s, v_num=1, train_loss_step=1.77e+7, train_loss_epoch=1.91e+7]Epoch 222/300:  74%|███████▎  | 221/300 [01:03<00:22,  3.44it/s, v_num=1, train_loss_step=1.77e+7, train_loss_epoch=1.91e+7]Epoch 222/300:  74%|███████▍  | 222/300 [01:03<00:23,  3.38it/s, v_num=1, train_loss_step=1.77e+7, train_loss_epoch=1.91e+7]Epoch 222/300:  74%|███████▍  | 222/300 [01:03<00:23,  3.38it/s, v_num=1, train_loss_step=1.68e+7, train_loss_epoch=1.9e+7] Epoch 223/300:  74%|███████▍  | 222/300 [01:03<00:23,  3.38it/s, v_num=1, train_loss_step=1.68e+7, train_loss_epoch=1.9e+7]Epoch 223/300:  74%|███████▍  | 223/300 [01:03<00:22,  3.43it/s, v_num=1, train_loss_step=1.68e+7, train_loss_epoch=1.9e+7]Epoch 223/300:  74%|███████▍  | 223/300 [01:03<00:22,  3.43it/s, v_num=1, train_loss_step=1.88e+7, train_loss_epoch=1.88e+7]Epoch 224/300:  74%|███████▍  | 223/300 [01:03<00:22,  3.43it/s, v_num=1, train_loss_step=1.88e+7, train_loss_epoch=1.88e+7]Epoch 224/300:  75%|███████▍  | 224/300 [01:04<00:21,  3.46it/s, v_num=1, train_loss_step=1.88e+7, train_loss_epoch=1.88e+7]Epoch 224/300:  75%|███████▍  | 224/300 [01:04<00:21,  3.46it/s, v_num=1, train_loss_step=1.68e+7, train_loss_epoch=1.87e+7]Epoch 225/300:  75%|███████▍  | 224/300 [01:04<00:21,  3.46it/s, v_num=1, train_loss_step=1.68e+7, train_loss_epoch=1.87e+7]Epoch 225/300:  75%|███████▌  | 225/300 [01:04<00:21,  3.48it/s, v_num=1, train_loss_step=1.68e+7, train_loss_epoch=1.87e+7]Epoch 225/300:  75%|███████▌  | 225/300 [01:04<00:21,  3.48it/s, v_num=1, train_loss_step=1.71e+7, train_loss_epoch=1.86e+7]Epoch 226/300:  75%|███████▌  | 225/300 [01:04<00:21,  3.48it/s, v_num=1, train_loss_step=1.71e+7, train_loss_epoch=1.86e+7]Epoch 226/300:  75%|███████▌  | 226/300 [01:04<00:21,  3.46it/s, v_num=1, train_loss_step=1.71e+7, train_loss_epoch=1.86e+7]Epoch 226/300:  75%|███████▌  | 226/300 [01:04<00:21,  3.46it/s, v_num=1, train_loss_step=1.69e+7, train_loss_epoch=1.85e+7]Epoch 227/300:  75%|███████▌  | 226/300 [01:04<00:21,  3.46it/s, v_num=1, train_loss_step=1.69e+7, train_loss_epoch=1.85e+7]Epoch 227/300:  76%|███████▌  | 227/300 [01:05<00:20,  3.48it/s, v_num=1, train_loss_step=1.69e+7, train_loss_epoch=1.85e+7]Epoch 227/300:  76%|███████▌  | 227/300 [01:05<00:20,  3.48it/s, v_num=1, train_loss_step=1.9e+7, train_loss_epoch=1.83e+7] Epoch 228/300:  76%|███████▌  | 227/300 [01:05<00:20,  3.48it/s, v_num=1, train_loss_step=1.9e+7, train_loss_epoch=1.83e+7]Epoch 228/300:  76%|███████▌  | 228/300 [01:05<00:20,  3.48it/s, v_num=1, train_loss_step=1.9e+7, train_loss_epoch=1.83e+7]Epoch 228/300:  76%|███████▌  | 228/300 [01:05<00:20,  3.48it/s, v_num=1, train_loss_step=1.71e+7, train_loss_epoch=1.82e+7]Epoch 229/300:  76%|███████▌  | 228/300 [01:05<00:20,  3.48it/s, v_num=1, train_loss_step=1.71e+7, train_loss_epoch=1.82e+7]Epoch 229/300:  76%|███████▋  | 229/300 [01:05<00:21,  3.37it/s, v_num=1, train_loss_step=1.71e+7, train_loss_epoch=1.82e+7]Epoch 229/300:  76%|███████▋  | 229/300 [01:05<00:21,  3.37it/s, v_num=1, train_loss_step=1.72e+7, train_loss_epoch=1.81e+7]Epoch 230/300:  76%|███████▋  | 229/300 [01:05<00:21,  3.37it/s, v_num=1, train_loss_step=1.72e+7, train_loss_epoch=1.81e+7]Epoch 230/300:  77%|███████▋  | 230/300 [01:06<00:21,  3.33it/s, v_num=1, train_loss_step=1.72e+7, train_loss_epoch=1.81e+7]Epoch 230/300:  77%|███████▋  | 230/300 [01:06<00:21,  3.33it/s, v_num=1, train_loss_step=1.73e+7, train_loss_epoch=1.8e+7] Epoch 231/300:  77%|███████▋  | 230/300 [01:06<00:21,  3.33it/s, v_num=1, train_loss_step=1.73e+7, train_loss_epoch=1.8e+7]Epoch 231/300:  77%|███████▋  | 231/300 [01:06<00:20,  3.37it/s, v_num=1, train_loss_step=1.73e+7, train_loss_epoch=1.8e+7]Epoch 231/300:  77%|███████▋  | 231/300 [01:06<00:20,  3.37it/s, v_num=1, train_loss_step=1.68e+7, train_loss_epoch=1.79e+7]Epoch 232/300:  77%|███████▋  | 231/300 [01:06<00:20,  3.37it/s, v_num=1, train_loss_step=1.68e+7, train_loss_epoch=1.79e+7]Epoch 232/300:  77%|███████▋  | 232/300 [01:06<00:19,  3.45it/s, v_num=1, train_loss_step=1.68e+7, train_loss_epoch=1.79e+7]Epoch 232/300:  77%|███████▋  | 232/300 [01:06<00:19,  3.45it/s, v_num=1, train_loss_step=1.72e+7, train_loss_epoch=1.78e+7]Epoch 233/300:  77%|███████▋  | 232/300 [01:06<00:19,  3.45it/s, v_num=1, train_loss_step=1.72e+7, train_loss_epoch=1.78e+7]Epoch 233/300:  78%|███████▊  | 233/300 [01:06<00:19,  3.49it/s, v_num=1, train_loss_step=1.72e+7, train_loss_epoch=1.78e+7]Epoch 233/300:  78%|███████▊  | 233/300 [01:06<00:19,  3.49it/s, v_num=1, train_loss_step=1.9e+7, train_loss_epoch=1.77e+7] Epoch 234/300:  78%|███████▊  | 233/300 [01:06<00:19,  3.49it/s, v_num=1, train_loss_step=1.9e+7, train_loss_epoch=1.77e+7]Epoch 234/300:  78%|███████▊  | 234/300 [01:07<00:18,  3.49it/s, v_num=1, train_loss_step=1.9e+7, train_loss_epoch=1.77e+7]Epoch 234/300:  78%|███████▊  | 234/300 [01:07<00:18,  3.49it/s, v_num=1, train_loss_step=1.55e+7, train_loss_epoch=1.76e+7]Epoch 235/300:  78%|███████▊  | 234/300 [01:07<00:18,  3.49it/s, v_num=1, train_loss_step=1.55e+7, train_loss_epoch=1.76e+7]Epoch 235/300:  78%|███████▊  | 235/300 [01:07<00:18,  3.46it/s, v_num=1, train_loss_step=1.55e+7, train_loss_epoch=1.76e+7]Epoch 235/300:  78%|███████▊  | 235/300 [01:07<00:18,  3.46it/s, v_num=1, train_loss_step=1.64e+7, train_loss_epoch=1.75e+7]Epoch 236/300:  78%|███████▊  | 235/300 [01:07<00:18,  3.46it/s, v_num=1, train_loss_step=1.64e+7, train_loss_epoch=1.75e+7]Epoch 236/300:  79%|███████▊  | 236/300 [01:07<00:18,  3.49it/s, v_num=1, train_loss_step=1.64e+7, train_loss_epoch=1.75e+7]Epoch 236/300:  79%|███████▊  | 236/300 [01:07<00:18,  3.49it/s, v_num=1, train_loss_step=1.62e+7, train_loss_epoch=1.74e+7]Epoch 237/300:  79%|███████▊  | 236/300 [01:07<00:18,  3.49it/s, v_num=1, train_loss_step=1.62e+7, train_loss_epoch=1.74e+7]Epoch 237/300:  79%|███████▉  | 237/300 [01:08<00:18,  3.48it/s, v_num=1, train_loss_step=1.62e+7, train_loss_epoch=1.74e+7]Epoch 237/300:  79%|███████▉  | 237/300 [01:08<00:18,  3.48it/s, v_num=1, train_loss_step=1.52e+7, train_loss_epoch=1.73e+7]Epoch 238/300:  79%|███████▉  | 237/300 [01:08<00:18,  3.48it/s, v_num=1, train_loss_step=1.52e+7, train_loss_epoch=1.73e+7]Epoch 238/300:  79%|███████▉  | 238/300 [01:08<00:17,  3.52it/s, v_num=1, train_loss_step=1.52e+7, train_loss_epoch=1.73e+7]Epoch 238/300:  79%|███████▉  | 238/300 [01:08<00:17,  3.52it/s, v_num=1, train_loss_step=1.76e+7, train_loss_epoch=1.72e+7]Epoch 239/300:  79%|███████▉  | 238/300 [01:08<00:17,  3.52it/s, v_num=1, train_loss_step=1.76e+7, train_loss_epoch=1.72e+7]Epoch 239/300:  80%|███████▉  | 239/300 [01:08<00:17,  3.49it/s, v_num=1, train_loss_step=1.76e+7, train_loss_epoch=1.72e+7]Epoch 239/300:  80%|███████▉  | 239/300 [01:08<00:17,  3.49it/s, v_num=1, train_loss_step=1.58e+7, train_loss_epoch=1.71e+7]Epoch 240/300:  80%|███████▉  | 239/300 [01:08<00:17,  3.49it/s, v_num=1, train_loss_step=1.58e+7, train_loss_epoch=1.71e+7]Epoch 240/300:  80%|████████  | 240/300 [01:08<00:17,  3.45it/s, v_num=1, train_loss_step=1.58e+7, train_loss_epoch=1.71e+7]Epoch 240/300:  80%|████████  | 240/300 [01:08<00:17,  3.45it/s, v_num=1, train_loss_step=1.67e+7, train_loss_epoch=1.7e+7] Epoch 241/300:  80%|████████  | 240/300 [01:08<00:17,  3.45it/s, v_num=1, train_loss_step=1.67e+7, train_loss_epoch=1.7e+7]Epoch 241/300:  80%|████████  | 241/300 [01:09<00:17,  3.42it/s, v_num=1, train_loss_step=1.67e+7, train_loss_epoch=1.7e+7]Epoch 241/300:  80%|████████  | 241/300 [01:09<00:17,  3.42it/s, v_num=1, train_loss_step=1.59e+7, train_loss_epoch=1.69e+7]Epoch 242/300:  80%|████████  | 241/300 [01:09<00:17,  3.42it/s, v_num=1, train_loss_step=1.59e+7, train_loss_epoch=1.69e+7]Epoch 242/300:  81%|████████  | 242/300 [01:09<00:16,  3.49it/s, v_num=1, train_loss_step=1.59e+7, train_loss_epoch=1.69e+7]Epoch 242/300:  81%|████████  | 242/300 [01:09<00:16,  3.49it/s, v_num=1, train_loss_step=1.56e+7, train_loss_epoch=1.68e+7]Epoch 243/300:  81%|████████  | 242/300 [01:09<00:16,  3.49it/s, v_num=1, train_loss_step=1.56e+7, train_loss_epoch=1.68e+7]Epoch 243/300:  81%|████████  | 243/300 [01:09<00:16,  3.52it/s, v_num=1, train_loss_step=1.56e+7, train_loss_epoch=1.68e+7]Epoch 243/300:  81%|████████  | 243/300 [01:09<00:16,  3.52it/s, v_num=1, train_loss_step=1.61e+7, train_loss_epoch=1.67e+7]Epoch 244/300:  81%|████████  | 243/300 [01:09<00:16,  3.52it/s, v_num=1, train_loss_step=1.61e+7, train_loss_epoch=1.67e+7]Epoch 244/300:  81%|████████▏ | 244/300 [01:10<00:16,  3.43it/s, v_num=1, train_loss_step=1.61e+7, train_loss_epoch=1.67e+7]Epoch 244/300:  81%|████████▏ | 244/300 [01:10<00:16,  3.43it/s, v_num=1, train_loss_step=1.52e+7, train_loss_epoch=1.66e+7]Epoch 245/300:  81%|████████▏ | 244/300 [01:10<00:16,  3.43it/s, v_num=1, train_loss_step=1.52e+7, train_loss_epoch=1.66e+7]Epoch 245/300:  82%|████████▏ | 245/300 [01:10<00:15,  3.47it/s, v_num=1, train_loss_step=1.52e+7, train_loss_epoch=1.66e+7]Epoch 245/300:  82%|████████▏ | 245/300 [01:10<00:15,  3.47it/s, v_num=1, train_loss_step=1.57e+7, train_loss_epoch=1.66e+7]Epoch 246/300:  82%|████████▏ | 245/300 [01:10<00:15,  3.47it/s, v_num=1, train_loss_step=1.57e+7, train_loss_epoch=1.66e+7]Epoch 246/300:  82%|████████▏ | 246/300 [01:10<00:15,  3.51it/s, v_num=1, train_loss_step=1.57e+7, train_loss_epoch=1.66e+7]Epoch 246/300:  82%|████████▏ | 246/300 [01:10<00:15,  3.51it/s, v_num=1, train_loss_step=1.57e+7, train_loss_epoch=1.65e+7]Epoch 247/300:  82%|████████▏ | 246/300 [01:10<00:15,  3.51it/s, v_num=1, train_loss_step=1.57e+7, train_loss_epoch=1.65e+7]Epoch 247/300:  82%|████████▏ | 247/300 [01:10<00:15,  3.42it/s, v_num=1, train_loss_step=1.57e+7, train_loss_epoch=1.65e+7]Epoch 247/300:  82%|████████▏ | 247/300 [01:10<00:15,  3.42it/s, v_num=1, train_loss_step=1.45e+7, train_loss_epoch=1.64e+7]Epoch 248/300:  82%|████████▏ | 247/300 [01:10<00:15,  3.42it/s, v_num=1, train_loss_step=1.45e+7, train_loss_epoch=1.64e+7]Epoch 248/300:  83%|████████▎ | 248/300 [01:11<00:15,  3.38it/s, v_num=1, train_loss_step=1.45e+7, train_loss_epoch=1.64e+7]Epoch 248/300:  83%|████████▎ | 248/300 [01:11<00:15,  3.38it/s, v_num=1, train_loss_step=1.56e+7, train_loss_epoch=1.63e+7]Epoch 249/300:  83%|████████▎ | 248/300 [01:11<00:15,  3.38it/s, v_num=1, train_loss_step=1.56e+7, train_loss_epoch=1.63e+7]Epoch 249/300:  83%|████████▎ | 249/300 [01:11<00:14,  3.41it/s, v_num=1, train_loss_step=1.56e+7, train_loss_epoch=1.63e+7]Epoch 249/300:  83%|████████▎ | 249/300 [01:11<00:14,  3.41it/s, v_num=1, train_loss_step=1.51e+7, train_loss_epoch=1.62e+7]Epoch 250/300:  83%|████████▎ | 249/300 [01:11<00:14,  3.41it/s, v_num=1, train_loss_step=1.51e+7, train_loss_epoch=1.62e+7]Epoch 250/300:  83%|████████▎ | 250/300 [01:11<00:14,  3.44it/s, v_num=1, train_loss_step=1.51e+7, train_loss_epoch=1.62e+7]Epoch 250/300:  83%|████████▎ | 250/300 [01:11<00:14,  3.44it/s, v_num=1, train_loss_step=1.62e+7, train_loss_epoch=1.61e+7]Epoch 251/300:  83%|████████▎ | 250/300 [01:11<00:14,  3.44it/s, v_num=1, train_loss_step=1.62e+7, train_loss_epoch=1.61e+7]Epoch 251/300:  84%|████████▎ | 251/300 [01:12<00:14,  3.43it/s, v_num=1, train_loss_step=1.62e+7, train_loss_epoch=1.61e+7]Epoch 251/300:  84%|████████▎ | 251/300 [01:12<00:14,  3.43it/s, v_num=1, train_loss_step=1.54e+7, train_loss_epoch=1.61e+7]Epoch 252/300:  84%|████████▎ | 251/300 [01:12<00:14,  3.43it/s, v_num=1, train_loss_step=1.54e+7, train_loss_epoch=1.61e+7]Epoch 252/300:  84%|████████▍ | 252/300 [01:12<00:13,  3.46it/s, v_num=1, train_loss_step=1.54e+7, train_loss_epoch=1.61e+7]Epoch 252/300:  84%|████████▍ | 252/300 [01:12<00:13,  3.46it/s, v_num=1, train_loss_step=1.54e+7, train_loss_epoch=1.6e+7] Epoch 253/300:  84%|████████▍ | 252/300 [01:12<00:13,  3.46it/s, v_num=1, train_loss_step=1.54e+7, train_loss_epoch=1.6e+7]Epoch 253/300:  84%|████████▍ | 253/300 [01:12<00:13,  3.48it/s, v_num=1, train_loss_step=1.54e+7, train_loss_epoch=1.6e+7]Epoch 253/300:  84%|████████▍ | 253/300 [01:12<00:13,  3.48it/s, v_num=1, train_loss_step=1.53e+7, train_loss_epoch=1.59e+7]Epoch 254/300:  84%|████████▍ | 253/300 [01:12<00:13,  3.48it/s, v_num=1, train_loss_step=1.53e+7, train_loss_epoch=1.59e+7]Epoch 254/300:  85%|████████▍ | 254/300 [01:12<00:13,  3.47it/s, v_num=1, train_loss_step=1.53e+7, train_loss_epoch=1.59e+7]Epoch 254/300:  85%|████████▍ | 254/300 [01:12<00:13,  3.47it/s, v_num=1, train_loss_step=1.55e+7, train_loss_epoch=1.58e+7]Epoch 255/300:  85%|████████▍ | 254/300 [01:12<00:13,  3.47it/s, v_num=1, train_loss_step=1.55e+7, train_loss_epoch=1.58e+7]Epoch 255/300:  85%|████████▌ | 255/300 [01:13<00:12,  3.46it/s, v_num=1, train_loss_step=1.55e+7, train_loss_epoch=1.58e+7]Epoch 255/300:  85%|████████▌ | 255/300 [01:13<00:12,  3.46it/s, v_num=1, train_loss_step=1.56e+7, train_loss_epoch=1.58e+7]Epoch 256/300:  85%|████████▌ | 255/300 [01:13<00:12,  3.46it/s, v_num=1, train_loss_step=1.56e+7, train_loss_epoch=1.58e+7]Epoch 256/300:  85%|████████▌ | 256/300 [01:13<00:12,  3.48it/s, v_num=1, train_loss_step=1.56e+7, train_loss_epoch=1.58e+7]Epoch 256/300:  85%|████████▌ | 256/300 [01:13<00:12,  3.48it/s, v_num=1, train_loss_step=1.56e+7, train_loss_epoch=1.57e+7]Epoch 257/300:  85%|████████▌ | 256/300 [01:13<00:12,  3.48it/s, v_num=1, train_loss_step=1.56e+7, train_loss_epoch=1.57e+7]Epoch 257/300:  86%|████████▌ | 257/300 [01:13<00:12,  3.52it/s, v_num=1, train_loss_step=1.56e+7, train_loss_epoch=1.57e+7]Epoch 257/300:  86%|████████▌ | 257/300 [01:13<00:12,  3.52it/s, v_num=1, train_loss_step=1.42e+7, train_loss_epoch=1.56e+7]Epoch 258/300:  86%|████████▌ | 257/300 [01:13<00:12,  3.52it/s, v_num=1, train_loss_step=1.42e+7, train_loss_epoch=1.56e+7]Epoch 258/300:  86%|████████▌ | 258/300 [01:14<00:11,  3.51it/s, v_num=1, train_loss_step=1.42e+7, train_loss_epoch=1.56e+7]Epoch 258/300:  86%|████████▌ | 258/300 [01:14<00:11,  3.51it/s, v_num=1, train_loss_step=1.43e+7, train_loss_epoch=1.56e+7]Epoch 259/300:  86%|████████▌ | 258/300 [01:14<00:11,  3.51it/s, v_num=1, train_loss_step=1.43e+7, train_loss_epoch=1.56e+7]Epoch 259/300:  86%|████████▋ | 259/300 [01:14<00:11,  3.50it/s, v_num=1, train_loss_step=1.43e+7, train_loss_epoch=1.56e+7]Epoch 259/300:  86%|████████▋ | 259/300 [01:14<00:11,  3.50it/s, v_num=1, train_loss_step=1.42e+7, train_loss_epoch=1.55e+7]Epoch 260/300:  86%|████████▋ | 259/300 [01:14<00:11,  3.50it/s, v_num=1, train_loss_step=1.42e+7, train_loss_epoch=1.55e+7]Epoch 260/300:  87%|████████▋ | 260/300 [01:14<00:11,  3.42it/s, v_num=1, train_loss_step=1.42e+7, train_loss_epoch=1.55e+7]Epoch 260/300:  87%|████████▋ | 260/300 [01:14<00:11,  3.42it/s, v_num=1, train_loss_step=1.35e+7, train_loss_epoch=1.54e+7]Epoch 261/300:  87%|████████▋ | 260/300 [01:14<00:11,  3.42it/s, v_num=1, train_loss_step=1.35e+7, train_loss_epoch=1.54e+7]Epoch 261/300:  87%|████████▋ | 261/300 [01:14<00:11,  3.46it/s, v_num=1, train_loss_step=1.35e+7, train_loss_epoch=1.54e+7]Epoch 261/300:  87%|████████▋ | 261/300 [01:14<00:11,  3.46it/s, v_num=1, train_loss_step=1.47e+7, train_loss_epoch=1.54e+7]Epoch 262/300:  87%|████████▋ | 261/300 [01:14<00:11,  3.46it/s, v_num=1, train_loss_step=1.47e+7, train_loss_epoch=1.54e+7]Epoch 262/300:  87%|████████▋ | 262/300 [01:15<00:10,  3.48it/s, v_num=1, train_loss_step=1.47e+7, train_loss_epoch=1.54e+7]Epoch 262/300:  87%|████████▋ | 262/300 [01:15<00:10,  3.48it/s, v_num=1, train_loss_step=1.28e+7, train_loss_epoch=1.53e+7]Epoch 263/300:  87%|████████▋ | 262/300 [01:15<00:10,  3.48it/s, v_num=1, train_loss_step=1.28e+7, train_loss_epoch=1.53e+7]Epoch 263/300:  88%|████████▊ | 263/300 [01:15<00:10,  3.45it/s, v_num=1, train_loss_step=1.28e+7, train_loss_epoch=1.53e+7]Epoch 263/300:  88%|████████▊ | 263/300 [01:15<00:10,  3.45it/s, v_num=1, train_loss_step=1.38e+7, train_loss_epoch=1.52e+7]Epoch 264/300:  88%|████████▊ | 263/300 [01:15<00:10,  3.45it/s, v_num=1, train_loss_step=1.38e+7, train_loss_epoch=1.52e+7]Epoch 264/300:  88%|████████▊ | 264/300 [01:15<00:10,  3.47it/s, v_num=1, train_loss_step=1.38e+7, train_loss_epoch=1.52e+7]Epoch 264/300:  88%|████████▊ | 264/300 [01:15<00:10,  3.47it/s, v_num=1, train_loss_step=1.33e+7, train_loss_epoch=1.52e+7]Epoch 265/300:  88%|████████▊ | 264/300 [01:15<00:10,  3.47it/s, v_num=1, train_loss_step=1.33e+7, train_loss_epoch=1.52e+7]Epoch 265/300:  88%|████████▊ | 265/300 [01:16<00:10,  3.39it/s, v_num=1, train_loss_step=1.33e+7, train_loss_epoch=1.52e+7]Epoch 265/300:  88%|████████▊ | 265/300 [01:16<00:10,  3.39it/s, v_num=1, train_loss_step=1.43e+7, train_loss_epoch=1.51e+7]Epoch 266/300:  88%|████████▊ | 265/300 [01:16<00:10,  3.39it/s, v_num=1, train_loss_step=1.43e+7, train_loss_epoch=1.51e+7]Epoch 266/300:  89%|████████▊ | 266/300 [01:16<00:10,  3.36it/s, v_num=1, train_loss_step=1.43e+7, train_loss_epoch=1.51e+7]Epoch 266/300:  89%|████████▊ | 266/300 [01:16<00:10,  3.36it/s, v_num=1, train_loss_step=1.5e+7, train_loss_epoch=1.5e+7]  Epoch 267/300:  89%|████████▊ | 266/300 [01:16<00:10,  3.36it/s, v_num=1, train_loss_step=1.5e+7, train_loss_epoch=1.5e+7]Epoch 267/300:  89%|████████▉ | 267/300 [01:16<00:09,  3.43it/s, v_num=1, train_loss_step=1.5e+7, train_loss_epoch=1.5e+7]Epoch 267/300:  89%|████████▉ | 267/300 [01:16<00:09,  3.43it/s, v_num=1, train_loss_step=1.29e+7, train_loss_epoch=1.5e+7]Epoch 268/300:  89%|████████▉ | 267/300 [01:16<00:09,  3.43it/s, v_num=1, train_loss_step=1.29e+7, train_loss_epoch=1.5e+7]Epoch 268/300:  89%|████████▉ | 268/300 [01:17<00:09,  3.46it/s, v_num=1, train_loss_step=1.29e+7, train_loss_epoch=1.5e+7]Epoch 268/300:  89%|████████▉ | 268/300 [01:17<00:09,  3.46it/s, v_num=1, train_loss_step=1.5e+7, train_loss_epoch=1.49e+7]Epoch 269/300:  89%|████████▉ | 268/300 [01:17<00:09,  3.46it/s, v_num=1, train_loss_step=1.5e+7, train_loss_epoch=1.49e+7]Epoch 269/300:  90%|████████▉ | 269/300 [01:17<00:08,  3.47it/s, v_num=1, train_loss_step=1.5e+7, train_loss_epoch=1.49e+7]Epoch 269/300:  90%|████████▉ | 269/300 [01:17<00:08,  3.47it/s, v_num=1, train_loss_step=1.41e+7, train_loss_epoch=1.49e+7]Epoch 270/300:  90%|████████▉ | 269/300 [01:17<00:08,  3.47it/s, v_num=1, train_loss_step=1.41e+7, train_loss_epoch=1.49e+7]Epoch 270/300:  90%|█████████ | 270/300 [01:17<00:08,  3.50it/s, v_num=1, train_loss_step=1.41e+7, train_loss_epoch=1.49e+7]Epoch 270/300:  90%|█████████ | 270/300 [01:17<00:08,  3.50it/s, v_num=1, train_loss_step=1.43e+7, train_loss_epoch=1.48e+7]Epoch 271/300:  90%|█████████ | 270/300 [01:17<00:08,  3.50it/s, v_num=1, train_loss_step=1.43e+7, train_loss_epoch=1.48e+7]Epoch 271/300:  90%|█████████ | 271/300 [01:17<00:08,  3.51it/s, v_num=1, train_loss_step=1.43e+7, train_loss_epoch=1.48e+7]Epoch 271/300:  90%|█████████ | 271/300 [01:17<00:08,  3.51it/s, v_num=1, train_loss_step=1.45e+7, train_loss_epoch=1.47e+7]Epoch 272/300:  90%|█████████ | 271/300 [01:17<00:08,  3.51it/s, v_num=1, train_loss_step=1.45e+7, train_loss_epoch=1.47e+7]Epoch 272/300:  91%|█████████ | 272/300 [01:18<00:07,  3.51it/s, v_num=1, train_loss_step=1.45e+7, train_loss_epoch=1.47e+7]Epoch 272/300:  91%|█████████ | 272/300 [01:18<00:07,  3.51it/s, v_num=1, train_loss_step=1.38e+7, train_loss_epoch=1.47e+7]Epoch 273/300:  91%|█████████ | 272/300 [01:18<00:07,  3.51it/s, v_num=1, train_loss_step=1.38e+7, train_loss_epoch=1.47e+7]Epoch 273/300:  91%|█████████ | 273/300 [01:18<00:07,  3.52it/s, v_num=1, train_loss_step=1.38e+7, train_loss_epoch=1.47e+7]Epoch 273/300:  91%|█████████ | 273/300 [01:18<00:07,  3.52it/s, v_num=1, train_loss_step=1.35e+7, train_loss_epoch=1.46e+7]Epoch 274/300:  91%|█████████ | 273/300 [01:18<00:07,  3.52it/s, v_num=1, train_loss_step=1.35e+7, train_loss_epoch=1.46e+7]Epoch 274/300:  91%|█████████▏| 274/300 [01:18<00:07,  3.55it/s, v_num=1, train_loss_step=1.35e+7, train_loss_epoch=1.46e+7]Epoch 274/300:  91%|█████████▏| 274/300 [01:18<00:07,  3.55it/s, v_num=1, train_loss_step=1.35e+7, train_loss_epoch=1.46e+7]Epoch 275/300:  91%|█████████▏| 274/300 [01:18<00:07,  3.55it/s, v_num=1, train_loss_step=1.35e+7, train_loss_epoch=1.46e+7]Epoch 275/300:  92%|█████████▏| 275/300 [01:18<00:07,  3.54it/s, v_num=1, train_loss_step=1.35e+7, train_loss_epoch=1.46e+7]Epoch 275/300:  92%|█████████▏| 275/300 [01:18<00:07,  3.54it/s, v_num=1, train_loss_step=1.3e+7, train_loss_epoch=1.45e+7] Epoch 276/300:  92%|█████████▏| 275/300 [01:18<00:07,  3.54it/s, v_num=1, train_loss_step=1.3e+7, train_loss_epoch=1.45e+7]Epoch 276/300:  92%|█████████▏| 276/300 [01:19<00:06,  3.49it/s, v_num=1, train_loss_step=1.3e+7, train_loss_epoch=1.45e+7]Epoch 276/300:  92%|█████████▏| 276/300 [01:19<00:06,  3.49it/s, v_num=1, train_loss_step=1.31e+7, train_loss_epoch=1.45e+7]Epoch 277/300:  92%|█████████▏| 276/300 [01:19<00:06,  3.49it/s, v_num=1, train_loss_step=1.31e+7, train_loss_epoch=1.45e+7]Epoch 277/300:  92%|█████████▏| 277/300 [01:19<00:06,  3.50it/s, v_num=1, train_loss_step=1.31e+7, train_loss_epoch=1.45e+7]Epoch 277/300:  92%|█████████▏| 277/300 [01:19<00:06,  3.50it/s, v_num=1, train_loss_step=1.39e+7, train_loss_epoch=1.44e+7]Epoch 278/300:  92%|█████████▏| 277/300 [01:19<00:06,  3.50it/s, v_num=1, train_loss_step=1.39e+7, train_loss_epoch=1.44e+7]Epoch 278/300:  93%|█████████▎| 278/300 [01:19<00:06,  3.49it/s, v_num=1, train_loss_step=1.39e+7, train_loss_epoch=1.44e+7]Epoch 278/300:  93%|█████████▎| 278/300 [01:19<00:06,  3.49it/s, v_num=1, train_loss_step=1.28e+7, train_loss_epoch=1.44e+7]Epoch 279/300:  93%|█████████▎| 278/300 [01:19<00:06,  3.49it/s, v_num=1, train_loss_step=1.28e+7, train_loss_epoch=1.44e+7]Epoch 279/300:  93%|█████████▎| 279/300 [01:20<00:06,  3.47it/s, v_num=1, train_loss_step=1.28e+7, train_loss_epoch=1.44e+7]Epoch 279/300:  93%|█████████▎| 279/300 [01:20<00:06,  3.47it/s, v_num=1, train_loss_step=1.43e+7, train_loss_epoch=1.43e+7]Epoch 280/300:  93%|█████████▎| 279/300 [01:20<00:06,  3.47it/s, v_num=1, train_loss_step=1.43e+7, train_loss_epoch=1.43e+7]Epoch 280/300:  93%|█████████▎| 280/300 [01:20<00:05,  3.45it/s, v_num=1, train_loss_step=1.43e+7, train_loss_epoch=1.43e+7]Epoch 280/300:  93%|█████████▎| 280/300 [01:20<00:05,  3.45it/s, v_num=1, train_loss_step=1.46e+7, train_loss_epoch=1.43e+7]Epoch 281/300:  93%|█████████▎| 280/300 [01:20<00:05,  3.45it/s, v_num=1, train_loss_step=1.46e+7, train_loss_epoch=1.43e+7]Epoch 281/300:  94%|█████████▎| 281/300 [01:20<00:05,  3.49it/s, v_num=1, train_loss_step=1.46e+7, train_loss_epoch=1.43e+7]Epoch 281/300:  94%|█████████▎| 281/300 [01:20<00:05,  3.49it/s, v_num=1, train_loss_step=1.4e+7, train_loss_epoch=1.42e+7] Epoch 282/300:  94%|█████████▎| 281/300 [01:20<00:05,  3.49it/s, v_num=1, train_loss_step=1.4e+7, train_loss_epoch=1.42e+7]Epoch 282/300:  94%|█████████▍| 282/300 [01:21<00:05,  3.50it/s, v_num=1, train_loss_step=1.4e+7, train_loss_epoch=1.42e+7]Epoch 282/300:  94%|█████████▍| 282/300 [01:21<00:05,  3.50it/s, v_num=1, train_loss_step=1.32e+7, train_loss_epoch=1.42e+7]Epoch 283/300:  94%|█████████▍| 282/300 [01:21<00:05,  3.50it/s, v_num=1, train_loss_step=1.32e+7, train_loss_epoch=1.42e+7]Epoch 283/300:  94%|█████████▍| 283/300 [01:21<00:05,  3.39it/s, v_num=1, train_loss_step=1.32e+7, train_loss_epoch=1.42e+7]Epoch 283/300:  94%|█████████▍| 283/300 [01:21<00:05,  3.39it/s, v_num=1, train_loss_step=1.39e+7, train_loss_epoch=1.41e+7]Epoch 284/300:  94%|█████████▍| 283/300 [01:21<00:05,  3.39it/s, v_num=1, train_loss_step=1.39e+7, train_loss_epoch=1.41e+7]Epoch 284/300:  95%|█████████▍| 284/300 [01:21<00:04,  3.33it/s, v_num=1, train_loss_step=1.39e+7, train_loss_epoch=1.41e+7]Epoch 284/300:  95%|█████████▍| 284/300 [01:21<00:04,  3.33it/s, v_num=1, train_loss_step=1.31e+7, train_loss_epoch=1.41e+7]Epoch 285/300:  95%|█████████▍| 284/300 [01:21<00:04,  3.33it/s, v_num=1, train_loss_step=1.31e+7, train_loss_epoch=1.41e+7]Epoch 285/300:  95%|█████████▌| 285/300 [01:21<00:04,  3.38it/s, v_num=1, train_loss_step=1.31e+7, train_loss_epoch=1.41e+7]Epoch 285/300:  95%|█████████▌| 285/300 [01:21<00:04,  3.38it/s, v_num=1, train_loss_step=1.27e+7, train_loss_epoch=1.4e+7] Epoch 286/300:  95%|█████████▌| 285/300 [01:21<00:04,  3.38it/s, v_num=1, train_loss_step=1.27e+7, train_loss_epoch=1.4e+7]Epoch 286/300:  95%|█████████▌| 286/300 [01:22<00:04,  3.40it/s, v_num=1, train_loss_step=1.27e+7, train_loss_epoch=1.4e+7]Epoch 286/300:  95%|█████████▌| 286/300 [01:22<00:04,  3.40it/s, v_num=1, train_loss_step=1.39e+7, train_loss_epoch=1.4e+7]Epoch 287/300:  95%|█████████▌| 286/300 [01:22<00:04,  3.40it/s, v_num=1, train_loss_step=1.39e+7, train_loss_epoch=1.4e+7]Epoch 287/300:  96%|█████████▌| 287/300 [01:22<00:03,  3.32it/s, v_num=1, train_loss_step=1.39e+7, train_loss_epoch=1.4e+7]Epoch 287/300:  96%|█████████▌| 287/300 [01:22<00:03,  3.32it/s, v_num=1, train_loss_step=1.36e+7, train_loss_epoch=1.39e+7]Epoch 288/300:  96%|█████████▌| 287/300 [01:22<00:03,  3.32it/s, v_num=1, train_loss_step=1.36e+7, train_loss_epoch=1.39e+7]Epoch 288/300:  96%|█████████▌| 288/300 [01:22<00:03,  3.32it/s, v_num=1, train_loss_step=1.36e+7, train_loss_epoch=1.39e+7]Epoch 288/300:  96%|█████████▌| 288/300 [01:22<00:03,  3.32it/s, v_num=1, train_loss_step=1.22e+7, train_loss_epoch=1.39e+7]Epoch 289/300:  96%|█████████▌| 288/300 [01:22<00:03,  3.32it/s, v_num=1, train_loss_step=1.22e+7, train_loss_epoch=1.39e+7]Epoch 289/300:  96%|█████████▋| 289/300 [01:23<00:03,  3.34it/s, v_num=1, train_loss_step=1.22e+7, train_loss_epoch=1.39e+7]Epoch 289/300:  96%|█████████▋| 289/300 [01:23<00:03,  3.34it/s, v_num=1, train_loss_step=1.2e+7, train_loss_epoch=1.38e+7] Epoch 290/300:  96%|█████████▋| 289/300 [01:23<00:03,  3.34it/s, v_num=1, train_loss_step=1.2e+7, train_loss_epoch=1.38e+7]Epoch 290/300:  97%|█████████▋| 290/300 [01:23<00:02,  3.38it/s, v_num=1, train_loss_step=1.2e+7, train_loss_epoch=1.38e+7]Epoch 290/300:  97%|█████████▋| 290/300 [01:23<00:02,  3.38it/s, v_num=1, train_loss_step=1.32e+7, train_loss_epoch=1.38e+7]Epoch 291/300:  97%|█████████▋| 290/300 [01:23<00:02,  3.38it/s, v_num=1, train_loss_step=1.32e+7, train_loss_epoch=1.38e+7]Epoch 291/300:  97%|█████████▋| 291/300 [01:23<00:02,  3.41it/s, v_num=1, train_loss_step=1.32e+7, train_loss_epoch=1.38e+7]Epoch 291/300:  97%|█████████▋| 291/300 [01:23<00:02,  3.41it/s, v_num=1, train_loss_step=1.21e+7, train_loss_epoch=1.37e+7]Epoch 292/300:  97%|█████████▋| 291/300 [01:23<00:02,  3.41it/s, v_num=1, train_loss_step=1.21e+7, train_loss_epoch=1.37e+7]Epoch 292/300:  97%|█████████▋| 292/300 [01:23<00:02,  3.43it/s, v_num=1, train_loss_step=1.21e+7, train_loss_epoch=1.37e+7]Epoch 292/300:  97%|█████████▋| 292/300 [01:23<00:02,  3.43it/s, v_num=1, train_loss_step=1.25e+7, train_loss_epoch=1.37e+7]Epoch 293/300:  97%|█████████▋| 292/300 [01:23<00:02,  3.43it/s, v_num=1, train_loss_step=1.25e+7, train_loss_epoch=1.37e+7]Epoch 293/300:  98%|█████████▊| 293/300 [01:24<00:02,  3.42it/s, v_num=1, train_loss_step=1.25e+7, train_loss_epoch=1.37e+7]Epoch 293/300:  98%|█████████▊| 293/300 [01:24<00:02,  3.42it/s, v_num=1, train_loss_step=1.38e+7, train_loss_epoch=1.37e+7]Epoch 294/300:  98%|█████████▊| 293/300 [01:24<00:02,  3.42it/s, v_num=1, train_loss_step=1.38e+7, train_loss_epoch=1.37e+7]Epoch 294/300:  98%|█████████▊| 294/300 [01:24<00:01,  3.43it/s, v_num=1, train_loss_step=1.38e+7, train_loss_epoch=1.37e+7]Epoch 294/300:  98%|█████████▊| 294/300 [01:24<00:01,  3.43it/s, v_num=1, train_loss_step=1.26e+7, train_loss_epoch=1.36e+7]Epoch 295/300:  98%|█████████▊| 294/300 [01:24<00:01,  3.43it/s, v_num=1, train_loss_step=1.26e+7, train_loss_epoch=1.36e+7]Epoch 295/300:  98%|█████████▊| 295/300 [01:24<00:01,  3.45it/s, v_num=1, train_loss_step=1.26e+7, train_loss_epoch=1.36e+7]Epoch 295/300:  98%|█████████▊| 295/300 [01:24<00:01,  3.45it/s, v_num=1, train_loss_step=1.48e+7, train_loss_epoch=1.36e+7]Epoch 296/300:  98%|█████████▊| 295/300 [01:24<00:01,  3.45it/s, v_num=1, train_loss_step=1.48e+7, train_loss_epoch=1.36e+7]Epoch 296/300:  99%|█████████▊| 296/300 [01:25<00:01,  3.42it/s, v_num=1, train_loss_step=1.48e+7, train_loss_epoch=1.36e+7]Epoch 296/300:  99%|█████████▊| 296/300 [01:25<00:01,  3.42it/s, v_num=1, train_loss_step=1.26e+7, train_loss_epoch=1.35e+7]Epoch 297/300:  99%|█████████▊| 296/300 [01:25<00:01,  3.42it/s, v_num=1, train_loss_step=1.26e+7, train_loss_epoch=1.35e+7]Epoch 297/300:  99%|█████████▉| 297/300 [01:25<00:00,  3.41it/s, v_num=1, train_loss_step=1.26e+7, train_loss_epoch=1.35e+7]Epoch 297/300:  99%|█████████▉| 297/300 [01:25<00:00,  3.41it/s, v_num=1, train_loss_step=1.22e+7, train_loss_epoch=1.35e+7]Epoch 298/300:  99%|█████████▉| 297/300 [01:25<00:00,  3.41it/s, v_num=1, train_loss_step=1.22e+7, train_loss_epoch=1.35e+7]Epoch 298/300:  99%|█████████▉| 298/300 [01:25<00:00,  3.42it/s, v_num=1, train_loss_step=1.22e+7, train_loss_epoch=1.35e+7]Epoch 298/300:  99%|█████████▉| 298/300 [01:25<00:00,  3.42it/s, v_num=1, train_loss_step=1.25e+7, train_loss_epoch=1.35e+7]Epoch 299/300:  99%|█████████▉| 298/300 [01:25<00:00,  3.42it/s, v_num=1, train_loss_step=1.25e+7, train_loss_epoch=1.35e+7]Epoch 299/300: 100%|█████████▉| 299/300 [01:26<00:00,  3.36it/s, v_num=1, train_loss_step=1.25e+7, train_loss_epoch=1.35e+7]Epoch 299/300: 100%|█████████▉| 299/300 [01:26<00:00,  3.36it/s, v_num=1, train_loss_step=1.23e+7, train_loss_epoch=1.34e+7]Epoch 300/300: 100%|█████████▉| 299/300 [01:26<00:00,  3.36it/s, v_num=1, train_loss_step=1.23e+7, train_loss_epoch=1.34e+7]Epoch 300/300: 100%|██████████| 300/300 [01:26<00:00,  3.35it/s, v_num=1, train_loss_step=1.23e+7, train_loss_epoch=1.34e+7]Epoch 300/300: 100%|██████████| 300/300 [01:26<00:00,  3.35it/s, v_num=1, train_loss_step=1.33e+7, train_loss_epoch=1.34e+7]Epoch 300/300: 100%|██████████| 300/300 [01:26<00:00,  3.47it/s, v_num=1, train_loss_step=1.33e+7, train_loss_epoch=1.34e+7]

6.3 Predict proportions on the spatial data

First create a new st object with the correct genes and counts as a layer.

st_adata = adata_anterior_subset.copy()

st_adata.layers["counts"] = st_adata.X.copy()
st_adata = st_adata[:, deg].copy()

SpatialStereoscope.setup_anndata(st_adata, layer="counts")

train = True
if train:
    spatial_model = SpatialStereoscope.from_rna_model(st_adata, sc_model)
    spatial_model.train(max_epochs = 3000)
    spatial_model.history["elbo_train"][10:].plot()
    spatial_model.save("./data/spatial/visium/scanpy_stmodel", overwrite = True)
else:
    spatial_model = SpatialStereoscope.load("./data/spatial/visium/scanpy_stmodel", st_adata)
    print("Loaded Spatial model from file!")

Training:   0%|          | 0/3000 [00:00<?, ?it/s]Epoch 1/3000:   0%|          | 0/3000 [00:00<?, ?it/s]Epoch 1/3000:   0%|          | 1/3000 [00:00<21:22,  2.34it/s]Epoch 1/3000:   0%|          | 1/3000 [00:00<21:22,  2.34it/s, v_num=1, train_loss_step=1.11e+7, train_loss_epoch=1.17e+7]Epoch 2/3000:   0%|          | 1/3000 [00:00<21:22,  2.34it/s, v_num=1, train_loss_step=1.11e+7, train_loss_epoch=1.17e+7]Epoch 2/3000:   0%|          | 2/3000 [00:00<24:42,  2.02it/s, v_num=1, train_loss_step=1.11e+7, train_loss_epoch=1.17e+7]Epoch 2/3000:   0%|          | 2/3000 [00:00<24:42,  2.02it/s, v_num=1, train_loss_step=1.2e+7, train_loss_epoch=1.17e+7] Epoch 3/3000:   0%|          | 2/3000 [00:00<24:42,  2.02it/s, v_num=1, train_loss_step=1.2e+7, train_loss_epoch=1.17e+7]Epoch 3/3000:   0%|          | 3/3000 [00:01<24:03,  2.08it/s, v_num=1, train_loss_step=1.2e+7, train_loss_epoch=1.17e+7]Epoch 3/3000:   0%|          | 3/3000 [00:01<24:03,  2.08it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.16e+7]Epoch 4/3000:   0%|          | 3/3000 [00:01<24:03,  2.08it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.16e+7]Epoch 4/3000:   0%|          | 4/3000 [00:01<22:55,  2.18it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.16e+7]Epoch 4/3000:   0%|          | 4/3000 [00:01<22:55,  2.18it/s, v_num=1, train_loss_step=1.14e+7, train_loss_epoch=1.16e+7]Epoch 5/3000:   0%|          | 4/3000 [00:01<22:55,  2.18it/s, v_num=1, train_loss_step=1.14e+7, train_loss_epoch=1.16e+7]Epoch 5/3000:   0%|          | 5/3000 [00:02<23:12,  2.15it/s, v_num=1, train_loss_step=1.14e+7, train_loss_epoch=1.16e+7]Epoch 5/3000:   0%|          | 5/3000 [00:02<23:12,  2.15it/s, v_num=1, train_loss_step=1.12e+7, train_loss_epoch=1.16e+7]Epoch 6/3000:   0%|          | 5/3000 [00:02<23:12,  2.15it/s, v_num=1, train_loss_step=1.12e+7, train_loss_epoch=1.16e+7]Epoch 6/3000:   0%|          | 6/3000 [00:02<24:27,  2.04it/s, v_num=1, train_loss_step=1.12e+7, train_loss_epoch=1.16e+7]Epoch 6/3000:   0%|          | 6/3000 [00:02<24:27,  2.04it/s, v_num=1, train_loss_step=1.14e+7, train_loss_epoch=1.15e+7]Epoch 7/3000:   0%|          | 6/3000 [00:02<24:27,  2.04it/s, v_num=1, train_loss_step=1.14e+7, train_loss_epoch=1.15e+7]Epoch 7/3000:   0%|          | 7/3000 [00:03<24:58,  2.00it/s, v_num=1, train_loss_step=1.14e+7, train_loss_epoch=1.15e+7]Epoch 7/3000:   0%|          | 7/3000 [00:03<24:58,  2.00it/s, v_num=1, train_loss_step=1.2e+7, train_loss_epoch=1.15e+7] Epoch 8/3000:   0%|          | 7/3000 [00:03<24:58,  2.00it/s, v_num=1, train_loss_step=1.2e+7, train_loss_epoch=1.15e+7]Epoch 8/3000:   0%|          | 8/3000 [00:03<21:53,  2.28it/s, v_num=1, train_loss_step=1.2e+7, train_loss_epoch=1.15e+7]Epoch 8/3000:   0%|          | 8/3000 [00:03<21:53,  2.28it/s, v_num=1, train_loss_step=1.14e+7, train_loss_epoch=1.14e+7]Epoch 9/3000:   0%|          | 8/3000 [00:03<21:53,  2.28it/s, v_num=1, train_loss_step=1.14e+7, train_loss_epoch=1.14e+7]Epoch 9/3000:   0%|          | 9/3000 [00:04<21:18,  2.34it/s, v_num=1, train_loss_step=1.14e+7, train_loss_epoch=1.14e+7]Epoch 9/3000:   0%|          | 9/3000 [00:04<21:18,  2.34it/s, v_num=1, train_loss_step=1.17e+7, train_loss_epoch=1.14e+7]Epoch 10/3000:   0%|          | 9/3000 [00:04<21:18,  2.34it/s, v_num=1, train_loss_step=1.17e+7, train_loss_epoch=1.14e+7]Epoch 10/3000:   0%|          | 10/3000 [00:04<16:23,  3.04it/s, v_num=1, train_loss_step=1.17e+7, train_loss_epoch=1.14e+7]Epoch 10/3000:   0%|          | 10/3000 [00:04<16:23,  3.04it/s, v_num=1, train_loss_step=1.15e+7, train_loss_epoch=1.14e+7]Epoch 11/3000:   0%|          | 10/3000 [00:04<16:23,  3.04it/s, v_num=1, train_loss_step=1.15e+7, train_loss_epoch=1.14e+7]Epoch 11/3000:   0%|          | 11/3000 [00:04<17:20,  2.87it/s, v_num=1, train_loss_step=1.15e+7, train_loss_epoch=1.14e+7]Epoch 11/3000:   0%|          | 11/3000 [00:04<17:20,  2.87it/s, v_num=1, train_loss_step=1.18e+7, train_loss_epoch=1.13e+7]Epoch 12/3000:   0%|          | 11/3000 [00:04<17:20,  2.87it/s, v_num=1, train_loss_step=1.18e+7, train_loss_epoch=1.13e+7]Epoch 12/3000:   0%|          | 12/3000 [00:05<21:23,  2.33it/s, v_num=1, train_loss_step=1.18e+7, train_loss_epoch=1.13e+7]Epoch 12/3000:   0%|          | 12/3000 [00:05<21:23,  2.33it/s, v_num=1, train_loss_step=1.12e+7, train_loss_epoch=1.13e+7]Epoch 13/3000:   0%|          | 12/3000 [00:05<21:23,  2.33it/s, v_num=1, train_loss_step=1.12e+7, train_loss_epoch=1.13e+7]Epoch 13/3000:   0%|          | 13/3000 [00:05<18:34,  2.68it/s, v_num=1, train_loss_step=1.12e+7, train_loss_epoch=1.13e+7]Epoch 13/3000:   0%|          | 13/3000 [00:05<18:34,  2.68it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.12e+7]Epoch 14/3000:   0%|          | 13/3000 [00:05<18:34,  2.68it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.12e+7]Epoch 14/3000:   0%|          | 14/3000 [00:05<16:39,  2.99it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.12e+7]Epoch 14/3000:   0%|          | 14/3000 [00:05<16:39,  2.99it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.12e+7]Epoch 15/3000:   0%|          | 14/3000 [00:05<16:39,  2.99it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.12e+7]Epoch 15/3000:   0%|          | 15/3000 [00:06<18:51,  2.64it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.12e+7]Epoch 15/3000:   0%|          | 15/3000 [00:06<18:51,  2.64it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.12e+7]Epoch 16/3000:   0%|          | 15/3000 [00:06<18:51,  2.64it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.12e+7]Epoch 16/3000:   1%|          | 16/3000 [00:06<20:49,  2.39it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.12e+7]Epoch 16/3000:   1%|          | 16/3000 [00:06<20:49,  2.39it/s, v_num=1, train_loss_step=1.13e+7, train_loss_epoch=1.11e+7]Epoch 17/3000:   1%|          | 16/3000 [00:06<20:49,  2.39it/s, v_num=1, train_loss_step=1.13e+7, train_loss_epoch=1.11e+7]Epoch 17/3000:   1%|          | 17/3000 [00:07<20:45,  2.40it/s, v_num=1, train_loss_step=1.13e+7, train_loss_epoch=1.11e+7]Epoch 17/3000:   1%|          | 17/3000 [00:07<20:45,  2.40it/s, v_num=1, train_loss_step=1.06e+7, train_loss_epoch=1.11e+7]Epoch 18/3000:   1%|          | 17/3000 [00:07<20:45,  2.40it/s, v_num=1, train_loss_step=1.06e+7, train_loss_epoch=1.11e+7]Epoch 18/3000:   1%|          | 18/3000 [00:07<21:33,  2.31it/s, v_num=1, train_loss_step=1.06e+7, train_loss_epoch=1.11e+7]Epoch 18/3000:   1%|          | 18/3000 [00:07<21:33,  2.31it/s, v_num=1, train_loss_step=1.09e+7, train_loss_epoch=1.1e+7] Epoch 19/3000:   1%|          | 18/3000 [00:07<21:33,  2.31it/s, v_num=1, train_loss_step=1.09e+7, train_loss_epoch=1.1e+7]Epoch 19/3000:   1%|          | 19/3000 [00:07<20:17,  2.45it/s, v_num=1, train_loss_step=1.09e+7, train_loss_epoch=1.1e+7]Epoch 19/3000:   1%|          | 19/3000 [00:07<20:17,  2.45it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.1e+7]Epoch 20/3000:   1%|          | 19/3000 [00:07<20:17,  2.45it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.1e+7]Epoch 20/3000:   1%|          | 20/3000 [00:08<20:14,  2.45it/s, v_num=1, train_loss_step=1.16e+7, train_loss_epoch=1.1e+7]Epoch 20/3000:   1%|          | 20/3000 [00:08<20:14,  2.45it/s, v_num=1, train_loss_step=1.12e+7, train_loss_epoch=1.1e+7]Epoch 21/3000:   1%|          | 20/3000 [00:08<20:14,  2.45it/s, v_num=1, train_loss_step=1.12e+7, train_loss_epoch=1.1e+7]Epoch 21/3000:   1%|          | 21/3000 [00:08<20:00,  2.48it/s, v_num=1, train_loss_step=1.12e+7, train_loss_epoch=1.1e+7]Epoch 21/3000:   1%|          | 21/3000 [00:08<20:00,  2.48it/s, v_num=1, train_loss_step=1.15e+7, train_loss_epoch=1.09e+7]Epoch 22/3000:   1%|          | 21/3000 [00:08<20:00,  2.48it/s, v_num=1, train_loss_step=1.15e+7, train_loss_epoch=1.09e+7]Epoch 22/3000:   1%|          | 22/3000 [00:09<18:31,  2.68it/s, v_num=1, train_loss_step=1.15e+7, train_loss_epoch=1.09e+7]Epoch 22/3000:   1%|          | 22/3000 [00:09<18:31,  2.68it/s, v_num=1, train_loss_step=1.09e+7, train_loss_epoch=1.09e+7]Epoch 23/3000:   1%|          | 22/3000 [00:09<18:31,  2.68it/s, v_num=1, train_loss_step=1.09e+7, train_loss_epoch=1.09e+7]Epoch 23/3000:   1%|          | 23/3000 [00:09<19:01,  2.61it/s, v_num=1, train_loss_step=1.09e+7, train_loss_epoch=1.09e+7]Epoch 23/3000:   1%|          | 23/3000 [00:09<19:01,  2.61it/s, v_num=1, train_loss_step=1.06e+7, train_loss_epoch=1.08e+7]Epoch 24/3000:   1%|          | 23/3000 [00:09<19:01,  2.61it/s, v_num=1, train_loss_step=1.06e+7, train_loss_epoch=1.08e+7]Epoch 24/3000:   1%|          | 24/3000 [00:09<19:36,  2.53it/s, v_num=1, train_loss_step=1.06e+7, train_loss_epoch=1.08e+7]Epoch 24/3000:   1%|          | 24/3000 [00:09<19:36,  2.53it/s, v_num=1, train_loss_step=1.06e+7, train_loss_epoch=1.08e+7]Epoch 25/3000:   1%|          | 24/3000 [00:09<19:36,  2.53it/s, v_num=1, train_loss_step=1.06e+7, train_loss_epoch=1.08e+7]Epoch 25/3000:   1%|          | 25/3000 [00:10<22:14,  2.23it/s, v_num=1, train_loss_step=1.06e+7, train_loss_epoch=1.08e+7]Epoch 25/3000:   1%|          | 25/3000 [00:10<22:14,  2.23it/s, v_num=1, train_loss_step=1.03e+7, train_loss_epoch=1.07e+7]Epoch 26/3000:   1%|          | 25/3000 [00:10<22:14,  2.23it/s, v_num=1, train_loss_step=1.03e+7, train_loss_epoch=1.07e+7]Epoch 26/3000:   1%|          | 26/3000 [00:11<24:51,  1.99it/s, v_num=1, train_loss_step=1.03e+7, train_loss_epoch=1.07e+7]Epoch 26/3000:   1%|          | 26/3000 [00:11<24:51,  1.99it/s, v_num=1, train_loss_step=1.11e+7, train_loss_epoch=1.07e+7]Epoch 27/3000:   1%|          | 26/3000 [00:11<24:51,  1.99it/s, v_num=1, train_loss_step=1.11e+7, train_loss_epoch=1.07e+7]Epoch 27/3000:   1%|          | 27/3000 [00:11<24:59,  1.98it/s, v_num=1, train_loss_step=1.11e+7, train_loss_epoch=1.07e+7]Epoch 27/3000:   1%|          | 27/3000 [00:11<24:59,  1.98it/s, v_num=1, train_loss_step=1.08e+7, train_loss_epoch=1.06e+7]Epoch 28/3000:   1%|          | 27/3000 [00:11<24:59,  1.98it/s, v_num=1, train_loss_step=1.08e+7, train_loss_epoch=1.06e+7]Epoch 28/3000:   1%|          | 28/3000 [00:11<22:43,  2.18it/s, v_num=1, train_loss_step=1.08e+7, train_loss_epoch=1.06e+7]Epoch 28/3000:   1%|          | 28/3000 [00:11<22:43,  2.18it/s, v_num=1, train_loss_step=1.08e+7, train_loss_epoch=1.06e+7]Epoch 29/3000:   1%|          | 28/3000 [00:11<22:43,  2.18it/s, v_num=1, train_loss_step=1.08e+7, train_loss_epoch=1.06e+7]Epoch 29/3000:   1%|          | 29/3000 [00:12<22:48,  2.17it/s, v_num=1, train_loss_step=1.08e+7, train_loss_epoch=1.06e+7]Epoch 29/3000:   1%|          | 29/3000 [00:12<22:48,  2.17it/s, v_num=1, train_loss_step=1.06e+7, train_loss_epoch=1.05e+7]Epoch 30/3000:   1%|          | 29/3000 [00:12<22:48,  2.17it/s, v_num=1, train_loss_step=1.06e+7, train_loss_epoch=1.05e+7]Epoch 30/3000:   1%|          | 30/3000 [00:12<20:29,  2.42it/s, v_num=1, train_loss_step=1.06e+7, train_loss_epoch=1.05e+7]Epoch 30/3000:   1%|          | 30/3000 [00:12<20:29,  2.42it/s, v_num=1, train_loss_step=1.05e+7, train_loss_epoch=1.05e+7]Epoch 31/3000:   1%|          | 30/3000 [00:12<20:29,  2.42it/s, v_num=1, train_loss_step=1.05e+7, train_loss_epoch=1.05e+7]Epoch 31/3000:   1%|          | 31/3000 [00:13<21:41,  2.28it/s, v_num=1, train_loss_step=1.05e+7, train_loss_epoch=1.05e+7]Epoch 31/3000:   1%|          | 31/3000 [00:13<21:41,  2.28it/s, v_num=1, train_loss_step=1.04e+7, train_loss_epoch=1.05e+7]Epoch 32/3000:   1%|          | 31/3000 [00:13<21:41,  2.28it/s, v_num=1, train_loss_step=1.04e+7, train_loss_epoch=1.05e+7]Epoch 32/3000:   1%|          | 32/3000 [00:13<22:50,  2.17it/s, v_num=1, train_loss_step=1.04e+7, train_loss_epoch=1.05e+7]Epoch 32/3000:   1%|          | 32/3000 [00:13<22:50,  2.17it/s, v_num=1, train_loss_step=1.05e+7, train_loss_epoch=1.04e+7]Epoch 33/3000:   1%|          | 32/3000 [00:13<22:50,  2.17it/s, v_num=1, train_loss_step=1.05e+7, train_loss_epoch=1.04e+7]Epoch 33/3000:   1%|          | 33/3000 [00:14<23:16,  2.12it/s, v_num=1, train_loss_step=1.05e+7, train_loss_epoch=1.04e+7]Epoch 33/3000:   1%|          | 33/3000 [00:14<23:16,  2.12it/s, v_num=1, train_loss_step=1.02e+7, train_loss_epoch=1.04e+7]Epoch 34/3000:   1%|          | 33/3000 [00:14<23:16,  2.12it/s, v_num=1, train_loss_step=1.02e+7, train_loss_epoch=1.04e+7]Epoch 34/3000:   1%|          | 34/3000 [00:14<21:57,  2.25it/s, v_num=1, train_loss_step=1.02e+7, train_loss_epoch=1.04e+7]Epoch 34/3000:   1%|          | 34/3000 [00:14<21:57,  2.25it/s, v_num=1, train_loss_step=1.01e+7, train_loss_epoch=1.03e+7]Epoch 35/3000:   1%|          | 34/3000 [00:14<21:57,  2.25it/s, v_num=1, train_loss_step=1.01e+7, train_loss_epoch=1.03e+7]Epoch 35/3000:   1%|          | 35/3000 [00:14<20:48,  2.38it/s, v_num=1, train_loss_step=1.01e+7, train_loss_epoch=1.03e+7]Epoch 35/3000:   1%|          | 35/3000 [00:14<20:48,  2.38it/s, v_num=1, train_loss_step=1.05e+7, train_loss_epoch=1.03e+7]Epoch 36/3000:   1%|          | 35/3000 [00:14<20:48,  2.38it/s, v_num=1, train_loss_step=1.05e+7, train_loss_epoch=1.03e+7]Epoch 36/3000:   1%|          | 36/3000 [00:15<20:15,  2.44it/s, v_num=1, train_loss_step=1.05e+7, train_loss_epoch=1.03e+7]Epoch 36/3000:   1%|          | 36/3000 [00:15<20:15,  2.44it/s, v_num=1, train_loss_step=9.99e+6, train_loss_epoch=1.02e+7]Epoch 37/3000:   1%|          | 36/3000 [00:15<20:15,  2.44it/s, v_num=1, train_loss_step=9.99e+6, train_loss_epoch=1.02e+7]Epoch 37/3000:   1%|          | 37/3000 [00:15<22:24,  2.20it/s, v_num=1, train_loss_step=9.99e+6, train_loss_epoch=1.02e+7]Epoch 37/3000:   1%|          | 37/3000 [00:15<22:24,  2.20it/s, v_num=1, train_loss_step=9.85e+6, train_loss_epoch=1.02e+7]Epoch 38/3000:   1%|          | 37/3000 [00:15<22:24,  2.20it/s, v_num=1, train_loss_step=9.85e+6, train_loss_epoch=1.02e+7]Epoch 38/3000:   1%|▏         | 38/3000 [00:16<22:01,  2.24it/s, v_num=1, train_loss_step=9.85e+6, train_loss_epoch=1.02e+7]Epoch 38/3000:   1%|▏         | 38/3000 [00:16<22:01,  2.24it/s, v_num=1, train_loss_step=9.69e+6, train_loss_epoch=1.01e+7]Epoch 39/3000:   1%|▏         | 38/3000 [00:16<22:01,  2.24it/s, v_num=1, train_loss_step=9.69e+6, train_loss_epoch=1.01e+7]Epoch 39/3000:   1%|▏         | 39/3000 [00:16<21:23,  2.31it/s, v_num=1, train_loss_step=9.69e+6, train_loss_epoch=1.01e+7]Epoch 39/3000:   1%|▏         | 39/3000 [00:16<21:23,  2.31it/s, v_num=1, train_loss_step=1.05e+7, train_loss_epoch=1.01e+7]Epoch 40/3000:   1%|▏         | 39/3000 [00:16<21:23,  2.31it/s, v_num=1, train_loss_step=1.05e+7, train_loss_epoch=1.01e+7]Epoch 40/3000:   1%|▏         | 40/3000 [00:17<23:04,  2.14it/s, v_num=1, train_loss_step=1.05e+7, train_loss_epoch=1.01e+7]Epoch 40/3000:   1%|▏         | 40/3000 [00:17<23:04,  2.14it/s, v_num=1, train_loss_step=9.93e+6, train_loss_epoch=1e+7]   Epoch 41/3000:   1%|▏         | 40/3000 [00:17<23:04,  2.14it/s, v_num=1, train_loss_step=9.93e+6, train_loss_epoch=1e+7]Epoch 41/3000:   1%|▏         | 41/3000 [00:17<17:41,  2.79it/s, v_num=1, train_loss_step=9.93e+6, train_loss_epoch=1e+7]Epoch 41/3000:   1%|▏         | 41/3000 [00:17<17:41,  2.79it/s, v_num=1, train_loss_step=9.99e+6, train_loss_epoch=9.99e+6]Epoch 42/3000:   1%|▏         | 41/3000 [00:17<17:41,  2.79it/s, v_num=1, train_loss_step=9.99e+6, train_loss_epoch=9.99e+6]Epoch 42/3000:   1%|▏         | 42/3000 [00:17<13:53,  3.55it/s, v_num=1, train_loss_step=9.99e+6, train_loss_epoch=9.99e+6]Epoch 42/3000:   1%|▏         | 42/3000 [00:17<13:53,  3.55it/s, v_num=1, train_loss_step=9.54e+6, train_loss_epoch=9.95e+6]Epoch 43/3000:   1%|▏         | 42/3000 [00:17<13:53,  3.55it/s, v_num=1, train_loss_step=9.54e+6, train_loss_epoch=9.95e+6]Epoch 43/3000:   1%|▏         | 43/3000 [00:17<11:22,  4.33it/s, v_num=1, train_loss_step=9.54e+6, train_loss_epoch=9.95e+6]Epoch 43/3000:   1%|▏         | 43/3000 [00:17<11:22,  4.33it/s, v_num=1, train_loss_step=9.98e+6, train_loss_epoch=9.9e+6] Epoch 44/3000:   1%|▏         | 43/3000 [00:17<11:22,  4.33it/s, v_num=1, train_loss_step=9.98e+6, train_loss_epoch=9.9e+6]Epoch 44/3000:   1%|▏         | 44/3000 [00:17<09:29,  5.19it/s, v_num=1, train_loss_step=9.98e+6, train_loss_epoch=9.9e+6]Epoch 44/3000:   1%|▏         | 44/3000 [00:17<09:29,  5.19it/s, v_num=1, train_loss_step=9.83e+6, train_loss_epoch=9.86e+6]Epoch 45/3000:   1%|▏         | 44/3000 [00:17<09:29,  5.19it/s, v_num=1, train_loss_step=9.83e+6, train_loss_epoch=9.86e+6]Epoch 45/3000:   2%|▏         | 45/3000 [00:17<10:30,  4.68it/s, v_num=1, train_loss_step=9.83e+6, train_loss_epoch=9.86e+6]Epoch 45/3000:   2%|▏         | 45/3000 [00:17<10:30,  4.68it/s, v_num=1, train_loss_step=9.68e+6, train_loss_epoch=9.81e+6]Epoch 46/3000:   2%|▏         | 45/3000 [00:17<10:30,  4.68it/s, v_num=1, train_loss_step=9.68e+6, train_loss_epoch=9.81e+6]Epoch 46/3000:   2%|▏         | 46/3000 [00:18<13:30,  3.64it/s, v_num=1, train_loss_step=9.68e+6, train_loss_epoch=9.81e+6]Epoch 46/3000:   2%|▏         | 46/3000 [00:18<13:30,  3.64it/s, v_num=1, train_loss_step=9.85e+6, train_loss_epoch=9.76e+6]Epoch 47/3000:   2%|▏         | 46/3000 [00:18<13:30,  3.64it/s, v_num=1, train_loss_step=9.85e+6, train_loss_epoch=9.76e+6]Epoch 47/3000:   2%|▏         | 47/3000 [00:18<16:31,  2.98it/s, v_num=1, train_loss_step=9.85e+6, train_loss_epoch=9.76e+6]Epoch 47/3000:   2%|▏         | 47/3000 [00:18<16:31,  2.98it/s, v_num=1, train_loss_step=1.01e+7, train_loss_epoch=9.72e+6]Epoch 48/3000:   2%|▏         | 47/3000 [00:18<16:31,  2.98it/s, v_num=1, train_loss_step=1.01e+7, train_loss_epoch=9.72e+6]Epoch 48/3000:   2%|▏         | 48/3000 [00:19<20:02,  2.45it/s, v_num=1, train_loss_step=1.01e+7, train_loss_epoch=9.72e+6]Epoch 48/3000:   2%|▏         | 48/3000 [00:19<20:02,  2.45it/s, v_num=1, train_loss_step=9.62e+6, train_loss_epoch=9.67e+6]Epoch 49/3000:   2%|▏         | 48/3000 [00:19<20:02,  2.45it/s, v_num=1, train_loss_step=9.62e+6, train_loss_epoch=9.67e+6]Epoch 49/3000:   2%|▏         | 49/3000 [00:19<20:41,  2.38it/s, v_num=1, train_loss_step=9.62e+6, train_loss_epoch=9.67e+6]Epoch 49/3000:   2%|▏         | 49/3000 [00:19<20:41,  2.38it/s, v_num=1, train_loss_step=9.72e+6, train_loss_epoch=9.62e+6]Epoch 50/3000:   2%|▏         | 49/3000 [00:19<20:41,  2.38it/s, v_num=1, train_loss_step=9.72e+6, train_loss_epoch=9.62e+6]Epoch 50/3000:   2%|▏         | 50/3000 [00:20<20:30,  2.40it/s, v_num=1, train_loss_step=9.72e+6, train_loss_epoch=9.62e+6]Epoch 50/3000:   2%|▏         | 50/3000 [00:20<20:30,  2.40it/s, v_num=1, train_loss_step=9.61e+6, train_loss_epoch=9.58e+6]Epoch 51/3000:   2%|▏         | 50/3000 [00:20<20:30,  2.40it/s, v_num=1, train_loss_step=9.61e+6, train_loss_epoch=9.58e+6]Epoch 51/3000:   2%|▏         | 51/3000 [00:20<16:21,  3.00it/s, v_num=1, train_loss_step=9.61e+6, train_loss_epoch=9.58e+6]Epoch 51/3000:   2%|▏         | 51/3000 [00:20<16:21,  3.00it/s, v_num=1, train_loss_step=9.99e+6, train_loss_epoch=9.53e+6]Epoch 52/3000:   2%|▏         | 51/3000 [00:20<16:21,  3.00it/s, v_num=1, train_loss_step=9.99e+6, train_loss_epoch=9.53e+6]Epoch 52/3000:   2%|▏         | 52/3000 [00:20<14:14,  3.45it/s, v_num=1, train_loss_step=9.99e+6, train_loss_epoch=9.53e+6]Epoch 52/3000:   2%|▏         | 52/3000 [00:20<14:14,  3.45it/s, v_num=1, train_loss_step=9.71e+6, train_loss_epoch=9.49e+6]Epoch 53/3000:   2%|▏         | 52/3000 [00:20<14:14,  3.45it/s, v_num=1, train_loss_step=9.71e+6, train_loss_epoch=9.49e+6]Epoch 53/3000:   2%|▏         | 53/3000 [00:21<18:10,  2.70it/s, v_num=1, train_loss_step=9.71e+6, train_loss_epoch=9.49e+6]Epoch 53/3000:   2%|▏         | 53/3000 [00:21<18:10,  2.70it/s, v_num=1, train_loss_step=9.42e+6, train_loss_epoch=9.44e+6]Epoch 54/3000:   2%|▏         | 53/3000 [00:21<18:10,  2.70it/s, v_num=1, train_loss_step=9.42e+6, train_loss_epoch=9.44e+6]Epoch 54/3000:   2%|▏         | 54/3000 [00:21<19:20,  2.54it/s, v_num=1, train_loss_step=9.42e+6, train_loss_epoch=9.44e+6]Epoch 54/3000:   2%|▏         | 54/3000 [00:21<19:20,  2.54it/s, v_num=1, train_loss_step=9.69e+6, train_loss_epoch=9.39e+6]Epoch 55/3000:   2%|▏         | 54/3000 [00:21<19:20,  2.54it/s, v_num=1, train_loss_step=9.69e+6, train_loss_epoch=9.39e+6]Epoch 55/3000:   2%|▏         | 55/3000 [00:22<21:29,  2.28it/s, v_num=1, train_loss_step=9.69e+6, train_loss_epoch=9.39e+6]Epoch 55/3000:   2%|▏         | 55/3000 [00:22<21:29,  2.28it/s, v_num=1, train_loss_step=9.4e+6, train_loss_epoch=9.35e+6] Epoch 56/3000:   2%|▏         | 55/3000 [00:22<21:29,  2.28it/s, v_num=1, train_loss_step=9.4e+6, train_loss_epoch=9.35e+6]Epoch 56/3000:   2%|▏         | 56/3000 [00:22<21:18,  2.30it/s, v_num=1, train_loss_step=9.4e+6, train_loss_epoch=9.35e+6]Epoch 56/3000:   2%|▏         | 56/3000 [00:22<21:18,  2.30it/s, v_num=1, train_loss_step=9.65e+6, train_loss_epoch=9.3e+6]Epoch 57/3000:   2%|▏         | 56/3000 [00:22<21:18,  2.30it/s, v_num=1, train_loss_step=9.65e+6, train_loss_epoch=9.3e+6]Epoch 57/3000:   2%|▏         | 57/3000 [00:23<22:56,  2.14it/s, v_num=1, train_loss_step=9.65e+6, train_loss_epoch=9.3e+6]Epoch 57/3000:   2%|▏         | 57/3000 [00:23<22:56,  2.14it/s, v_num=1, train_loss_step=9.31e+6, train_loss_epoch=9.26e+6]Epoch 58/3000:   2%|▏         | 57/3000 [00:23<22:56,  2.14it/s, v_num=1, train_loss_step=9.31e+6, train_loss_epoch=9.26e+6]Epoch 58/3000:   2%|▏         | 58/3000 [00:23<23:07,  2.12it/s, v_num=1, train_loss_step=9.31e+6, train_loss_epoch=9.26e+6]Epoch 58/3000:   2%|▏         | 58/3000 [00:23<23:07,  2.12it/s, v_num=1, train_loss_step=9.26e+6, train_loss_epoch=9.21e+6]Epoch 59/3000:   2%|▏         | 58/3000 [00:23<23:07,  2.12it/s, v_num=1, train_loss_step=9.26e+6, train_loss_epoch=9.21e+6]Epoch 59/3000:   2%|▏         | 59/3000 [00:23<21:40,  2.26it/s, v_num=1, train_loss_step=9.26e+6, train_loss_epoch=9.21e+6]Epoch 59/3000:   2%|▏         | 59/3000 [00:23<21:40,  2.26it/s, v_num=1, train_loss_step=8.75e+6, train_loss_epoch=9.17e+6]Epoch 60/3000:   2%|▏         | 59/3000 [00:23<21:40,  2.26it/s, v_num=1, train_loss_step=8.75e+6, train_loss_epoch=9.17e+6]Epoch 60/3000:   2%|▏         | 60/3000 [00:24<22:32,  2.17it/s, v_num=1, train_loss_step=8.75e+6, train_loss_epoch=9.17e+6]Epoch 60/3000:   2%|▏         | 60/3000 [00:24<22:32,  2.17it/s, v_num=1, train_loss_step=9.01e+6, train_loss_epoch=9.12e+6]Epoch 61/3000:   2%|▏         | 60/3000 [00:24<22:32,  2.17it/s, v_num=1, train_loss_step=9.01e+6, train_loss_epoch=9.12e+6]Epoch 61/3000:   2%|▏         | 61/3000 [00:24<23:12,  2.11it/s, v_num=1, train_loss_step=9.01e+6, train_loss_epoch=9.12e+6]Epoch 61/3000:   2%|▏         | 61/3000 [00:24<23:12,  2.11it/s, v_num=1, train_loss_step=9.38e+6, train_loss_epoch=9.08e+6]Epoch 62/3000:   2%|▏         | 61/3000 [00:25<23:12,  2.11it/s, v_num=1, train_loss_step=9.38e+6, train_loss_epoch=9.08e+6]Epoch 62/3000:   2%|▏         | 62/3000 [00:25<23:51,  2.05it/s, v_num=1, train_loss_step=9.38e+6, train_loss_epoch=9.08e+6]Epoch 62/3000:   2%|▏         | 62/3000 [00:25<23:51,  2.05it/s, v_num=1, train_loss_step=8.87e+6, train_loss_epoch=9.03e+6]Epoch 63/3000:   2%|▏         | 62/3000 [00:25<23:51,  2.05it/s, v_num=1, train_loss_step=8.87e+6, train_loss_epoch=9.03e+6]Epoch 63/3000:   2%|▏         | 63/3000 [00:25<23:45,  2.06it/s, v_num=1, train_loss_step=8.87e+6, train_loss_epoch=9.03e+6]Epoch 63/3000:   2%|▏         | 63/3000 [00:25<23:45,  2.06it/s, v_num=1, train_loss_step=9.1e+6, train_loss_epoch=8.99e+6] Epoch 64/3000:   2%|▏         | 63/3000 [00:26<23:45,  2.06it/s, v_num=1, train_loss_step=9.1e+6, train_loss_epoch=8.99e+6]Epoch 64/3000:   2%|▏         | 64/3000 [00:26<23:02,  2.12it/s, v_num=1, train_loss_step=9.1e+6, train_loss_epoch=8.99e+6]Epoch 64/3000:   2%|▏         | 64/3000 [00:26<23:02,  2.12it/s, v_num=1, train_loss_step=9.08e+6, train_loss_epoch=8.95e+6]Epoch 65/3000:   2%|▏         | 64/3000 [00:26<23:02,  2.12it/s, v_num=1, train_loss_step=9.08e+6, train_loss_epoch=8.95e+6]Epoch 65/3000:   2%|▏         | 65/3000 [00:26<24:20,  2.01it/s, v_num=1, train_loss_step=9.08e+6, train_loss_epoch=8.95e+6]Epoch 65/3000:   2%|▏         | 65/3000 [00:26<24:20,  2.01it/s, v_num=1, train_loss_step=8.45e+6, train_loss_epoch=8.9e+6] Epoch 66/3000:   2%|▏         | 65/3000 [00:26<24:20,  2.01it/s, v_num=1, train_loss_step=8.45e+6, train_loss_epoch=8.9e+6]Epoch 66/3000:   2%|▏         | 66/3000 [00:27<19:57,  2.45it/s, v_num=1, train_loss_step=8.45e+6, train_loss_epoch=8.9e+6]Epoch 66/3000:   2%|▏         | 66/3000 [00:27<19:57,  2.45it/s, v_num=1, train_loss_step=8.64e+6, train_loss_epoch=8.86e+6]Epoch 67/3000:   2%|▏         | 66/3000 [00:27<19:57,  2.45it/s, v_num=1, train_loss_step=8.64e+6, train_loss_epoch=8.86e+6]Epoch 67/3000:   2%|▏         | 67/3000 [00:27<20:46,  2.35it/s, v_num=1, train_loss_step=8.64e+6, train_loss_epoch=8.86e+6]Epoch 67/3000:   2%|▏         | 67/3000 [00:27<20:46,  2.35it/s, v_num=1, train_loss_step=9.24e+6, train_loss_epoch=8.82e+6]Epoch 68/3000:   2%|▏         | 67/3000 [00:27<20:46,  2.35it/s, v_num=1, train_loss_step=9.24e+6, train_loss_epoch=8.82e+6]Epoch 68/3000:   2%|▏         | 68/3000 [00:28<22:21,  2.19it/s, v_num=1, train_loss_step=9.24e+6, train_loss_epoch=8.82e+6]Epoch 68/3000:   2%|▏         | 68/3000 [00:28<22:21,  2.19it/s, v_num=1, train_loss_step=8.74e+6, train_loss_epoch=8.77e+6]Epoch 69/3000:   2%|▏         | 68/3000 [00:28<22:21,  2.19it/s, v_num=1, train_loss_step=8.74e+6, train_loss_epoch=8.77e+6]Epoch 69/3000:   2%|▏         | 69/3000 [00:28<23:24,  2.09it/s, v_num=1, train_loss_step=8.74e+6, train_loss_epoch=8.77e+6]Epoch 69/3000:   2%|▏         | 69/3000 [00:28<23:24,  2.09it/s, v_num=1, train_loss_step=9.25e+6, train_loss_epoch=8.73e+6]Epoch 70/3000:   2%|▏         | 69/3000 [00:28<23:24,  2.09it/s, v_num=1, train_loss_step=9.25e+6, train_loss_epoch=8.73e+6]Epoch 70/3000:   2%|▏         | 70/3000 [00:29<20:37,  2.37it/s, v_num=1, train_loss_step=9.25e+6, train_loss_epoch=8.73e+6]Epoch 70/3000:   2%|▏         | 70/3000 [00:29<20:37,  2.37it/s, v_num=1, train_loss_step=8.62e+6, train_loss_epoch=8.69e+6]Epoch 71/3000:   2%|▏         | 70/3000 [00:29<20:37,  2.37it/s, v_num=1, train_loss_step=8.62e+6, train_loss_epoch=8.69e+6]Epoch 71/3000:   2%|▏         | 71/3000 [00:29<20:11,  2.42it/s, v_num=1, train_loss_step=8.62e+6, train_loss_epoch=8.69e+6]Epoch 71/3000:   2%|▏         | 71/3000 [00:29<20:11,  2.42it/s, v_num=1, train_loss_step=8.47e+6, train_loss_epoch=8.64e+6]Epoch 72/3000:   2%|▏         | 71/3000 [00:29<20:11,  2.42it/s, v_num=1, train_loss_step=8.47e+6, train_loss_epoch=8.64e+6]Epoch 72/3000:   2%|▏         | 72/3000 [00:29<17:08,  2.85it/s, v_num=1, train_loss_step=8.47e+6, train_loss_epoch=8.64e+6]Epoch 72/3000:   2%|▏         | 72/3000 [00:29<17:08,  2.85it/s, v_num=1, train_loss_step=8.57e+6, train_loss_epoch=8.6e+6] Epoch 73/3000:   2%|▏         | 72/3000 [00:29<17:08,  2.85it/s, v_num=1, train_loss_step=8.57e+6, train_loss_epoch=8.6e+6]Epoch 73/3000:   2%|▏         | 73/3000 [00:29<15:10,  3.21it/s, v_num=1, train_loss_step=8.57e+6, train_loss_epoch=8.6e+6]Epoch 73/3000:   2%|▏         | 73/3000 [00:29<15:10,  3.21it/s, v_num=1, train_loss_step=8.53e+6, train_loss_epoch=8.56e+6]Epoch 74/3000:   2%|▏         | 73/3000 [00:29<15:10,  3.21it/s, v_num=1, train_loss_step=8.53e+6, train_loss_epoch=8.56e+6]Epoch 74/3000:   2%|▏         | 74/3000 [00:29<13:08,  3.71it/s, v_num=1, train_loss_step=8.53e+6, train_loss_epoch=8.56e+6]Epoch 74/3000:   2%|▏         | 74/3000 [00:30<13:08,  3.71it/s, v_num=1, train_loss_step=8.67e+6, train_loss_epoch=8.52e+6]Epoch 75/3000:   2%|▏         | 74/3000 [00:30<13:08,  3.71it/s, v_num=1, train_loss_step=8.67e+6, train_loss_epoch=8.52e+6]Epoch 75/3000:   2%|▎         | 75/3000 [00:30<10:48,  4.51it/s, v_num=1, train_loss_step=8.67e+6, train_loss_epoch=8.52e+6]Epoch 75/3000:   2%|▎         | 75/3000 [00:30<10:48,  4.51it/s, v_num=1, train_loss_step=8.27e+6, train_loss_epoch=8.48e+6]Epoch 76/3000:   2%|▎         | 75/3000 [00:30<10:48,  4.51it/s, v_num=1, train_loss_step=8.27e+6, train_loss_epoch=8.48e+6]Epoch 76/3000:   3%|▎         | 76/3000 [00:30<12:07,  4.02it/s, v_num=1, train_loss_step=8.27e+6, train_loss_epoch=8.48e+6]Epoch 76/3000:   3%|▎         | 76/3000 [00:30<12:07,  4.02it/s, v_num=1, train_loss_step=8.11e+6, train_loss_epoch=8.44e+6]Epoch 77/3000:   3%|▎         | 76/3000 [00:30<12:07,  4.02it/s, v_num=1, train_loss_step=8.11e+6, train_loss_epoch=8.44e+6]Epoch 77/3000:   3%|▎         | 77/3000 [00:30<11:06,  4.39it/s, v_num=1, train_loss_step=8.11e+6, train_loss_epoch=8.44e+6]Epoch 77/3000:   3%|▎         | 77/3000 [00:30<11:06,  4.39it/s, v_num=1, train_loss_step=8.3e+6, train_loss_epoch=8.4e+6]  Epoch 78/3000:   3%|▎         | 77/3000 [00:30<11:06,  4.39it/s, v_num=1, train_loss_step=8.3e+6, train_loss_epoch=8.4e+6]Epoch 78/3000:   3%|▎         | 78/3000 [00:30<11:38,  4.19it/s, v_num=1, train_loss_step=8.3e+6, train_loss_epoch=8.4e+6]Epoch 78/3000:   3%|▎         | 78/3000 [00:30<11:38,  4.19it/s, v_num=1, train_loss_step=8.44e+6, train_loss_epoch=8.35e+6]Epoch 79/3000:   3%|▎         | 78/3000 [00:30<11:38,  4.19it/s, v_num=1, train_loss_step=8.44e+6, train_loss_epoch=8.35e+6]Epoch 79/3000:   3%|▎         | 79/3000 [00:31<13:12,  3.69it/s, v_num=1, train_loss_step=8.44e+6, train_loss_epoch=8.35e+6]Epoch 79/3000:   3%|▎         | 79/3000 [00:31<13:12,  3.69it/s, v_num=1, train_loss_step=8.47e+6, train_loss_epoch=8.31e+6]Epoch 80/3000:   3%|▎         | 79/3000 [00:31<13:12,  3.69it/s, v_num=1, train_loss_step=8.47e+6, train_loss_epoch=8.31e+6]Epoch 80/3000:   3%|▎         | 80/3000 [00:31<16:07,  3.02it/s, v_num=1, train_loss_step=8.47e+6, train_loss_epoch=8.31e+6]Epoch 80/3000:   3%|▎         | 80/3000 [00:31<16:07,  3.02it/s, v_num=1, train_loss_step=8.14e+6, train_loss_epoch=8.27e+6]Epoch 81/3000:   3%|▎         | 80/3000 [00:31<16:07,  3.02it/s, v_num=1, train_loss_step=8.14e+6, train_loss_epoch=8.27e+6]Epoch 81/3000:   3%|▎         | 81/3000 [00:32<20:03,  2.43it/s, v_num=1, train_loss_step=8.14e+6, train_loss_epoch=8.27e+6]Epoch 81/3000:   3%|▎         | 81/3000 [00:32<20:03,  2.43it/s, v_num=1, train_loss_step=8.02e+6, train_loss_epoch=8.23e+6]Epoch 82/3000:   3%|▎         | 81/3000 [00:32<20:03,  2.43it/s, v_num=1, train_loss_step=8.02e+6, train_loss_epoch=8.23e+6]Epoch 82/3000:   3%|▎         | 82/3000 [00:32<18:04,  2.69it/s, v_num=1, train_loss_step=8.02e+6, train_loss_epoch=8.23e+6]Epoch 82/3000:   3%|▎         | 82/3000 [00:32<18:04,  2.69it/s, v_num=1, train_loss_step=8.09e+6, train_loss_epoch=8.19e+6]Epoch 83/3000:   3%|▎         | 82/3000 [00:32<18:04,  2.69it/s, v_num=1, train_loss_step=8.09e+6, train_loss_epoch=8.19e+6]Epoch 83/3000:   3%|▎         | 83/3000 [00:33<19:34,  2.48it/s, v_num=1, train_loss_step=8.09e+6, train_loss_epoch=8.19e+6]Epoch 83/3000:   3%|▎         | 83/3000 [00:33<19:34,  2.48it/s, v_num=1, train_loss_step=8.27e+6, train_loss_epoch=8.15e+6]Epoch 84/3000:   3%|▎         | 83/3000 [00:33<19:34,  2.48it/s, v_num=1, train_loss_step=8.27e+6, train_loss_epoch=8.15e+6]Epoch 84/3000:   3%|▎         | 84/3000 [00:33<22:14,  2.18it/s, v_num=1, train_loss_step=8.27e+6, train_loss_epoch=8.15e+6]Epoch 84/3000:   3%|▎         | 84/3000 [00:33<22:14,  2.18it/s, v_num=1, train_loss_step=8.29e+6, train_loss_epoch=8.12e+6]Epoch 85/3000:   3%|▎         | 84/3000 [00:33<22:14,  2.18it/s, v_num=1, train_loss_step=8.29e+6, train_loss_epoch=8.12e+6]Epoch 85/3000:   3%|▎         | 85/3000 [00:33<19:25,  2.50it/s, v_num=1, train_loss_step=8.29e+6, train_loss_epoch=8.12e+6]Epoch 85/3000:   3%|▎         | 85/3000 [00:33<19:25,  2.50it/s, v_num=1, train_loss_step=8.3e+6, train_loss_epoch=8.08e+6] Epoch 86/3000:   3%|▎         | 85/3000 [00:33<19:25,  2.50it/s, v_num=1, train_loss_step=8.3e+6, train_loss_epoch=8.08e+6]Epoch 86/3000:   3%|▎         | 86/3000 [00:34<20:46,  2.34it/s, v_num=1, train_loss_step=8.3e+6, train_loss_epoch=8.08e+6]Epoch 86/3000:   3%|▎         | 86/3000 [00:34<20:46,  2.34it/s, v_num=1, train_loss_step=7.84e+6, train_loss_epoch=8.04e+6]Epoch 87/3000:   3%|▎         | 86/3000 [00:34<20:46,  2.34it/s, v_num=1, train_loss_step=7.84e+6, train_loss_epoch=8.04e+6]Epoch 87/3000:   3%|▎         | 87/3000 [00:34<22:06,  2.20it/s, v_num=1, train_loss_step=7.84e+6, train_loss_epoch=8.04e+6]Epoch 87/3000:   3%|▎         | 87/3000 [00:34<22:06,  2.20it/s, v_num=1, train_loss_step=7.76e+6, train_loss_epoch=8e+6]   Epoch 88/3000:   3%|▎         | 87/3000 [00:34<22:06,  2.20it/s, v_num=1, train_loss_step=7.76e+6, train_loss_epoch=8e+6]Epoch 88/3000:   3%|▎         | 88/3000 [00:35<21:55,  2.21it/s, v_num=1, train_loss_step=7.76e+6, train_loss_epoch=8e+6]Epoch 88/3000:   3%|▎         | 88/3000 [00:35<21:55,  2.21it/s, v_num=1, train_loss_step=7.92e+6, train_loss_epoch=7.96e+6]Epoch 89/3000:   3%|▎         | 88/3000 [00:35<21:55,  2.21it/s, v_num=1, train_loss_step=7.92e+6, train_loss_epoch=7.96e+6]Epoch 89/3000:   3%|▎         | 89/3000 [00:35<20:01,  2.42it/s, v_num=1, train_loss_step=7.92e+6, train_loss_epoch=7.96e+6]Epoch 89/3000:   3%|▎         | 89/3000 [00:35<20:01,  2.42it/s, v_num=1, train_loss_step=8.01e+6, train_loss_epoch=7.92e+6]Epoch 90/3000:   3%|▎         | 89/3000 [00:35<20:01,  2.42it/s, v_num=1, train_loss_step=8.01e+6, train_loss_epoch=7.92e+6]Epoch 90/3000:   3%|▎         | 90/3000 [00:36<19:24,  2.50it/s, v_num=1, train_loss_step=8.01e+6, train_loss_epoch=7.92e+6]Epoch 90/3000:   3%|▎         | 90/3000 [00:36<19:24,  2.50it/s, v_num=1, train_loss_step=7.63e+6, train_loss_epoch=7.89e+6]Epoch 91/3000:   3%|▎         | 90/3000 [00:36<19:24,  2.50it/s, v_num=1, train_loss_step=7.63e+6, train_loss_epoch=7.89e+6]Epoch 91/3000:   3%|▎         | 91/3000 [00:36<19:02,  2.55it/s, v_num=1, train_loss_step=7.63e+6, train_loss_epoch=7.89e+6]Epoch 91/3000:   3%|▎         | 91/3000 [00:36<19:02,  2.55it/s, v_num=1, train_loss_step=7.84e+6, train_loss_epoch=7.85e+6]Epoch 92/3000:   3%|▎         | 91/3000 [00:36<19:02,  2.55it/s, v_num=1, train_loss_step=7.84e+6, train_loss_epoch=7.85e+6]Epoch 92/3000:   3%|▎         | 92/3000 [00:37<22:14,  2.18it/s, v_num=1, train_loss_step=7.84e+6, train_loss_epoch=7.85e+6]Epoch 92/3000:   3%|▎         | 92/3000 [00:37<22:14,  2.18it/s, v_num=1, train_loss_step=7.69e+6, train_loss_epoch=7.81e+6]Epoch 93/3000:   3%|▎         | 92/3000 [00:37<22:14,  2.18it/s, v_num=1, train_loss_step=7.69e+6, train_loss_epoch=7.81e+6]Epoch 93/3000:   3%|▎         | 93/3000 [00:37<23:10,  2.09it/s, v_num=1, train_loss_step=7.69e+6, train_loss_epoch=7.81e+6]Epoch 93/3000:   3%|▎         | 93/3000 [00:37<23:10,  2.09it/s, v_num=1, train_loss_step=7.85e+6, train_loss_epoch=7.77e+6]Epoch 94/3000:   3%|▎         | 93/3000 [00:37<23:10,  2.09it/s, v_num=1, train_loss_step=7.85e+6, train_loss_epoch=7.77e+6]Epoch 94/3000:   3%|▎         | 94/3000 [00:37<20:05,  2.41it/s, v_num=1, train_loss_step=7.85e+6, train_loss_epoch=7.77e+6]Epoch 94/3000:   3%|▎         | 94/3000 [00:37<20:05,  2.41it/s, v_num=1, train_loss_step=7.73e+6, train_loss_epoch=7.74e+6]Epoch 95/3000:   3%|▎         | 94/3000 [00:37<20:05,  2.41it/s, v_num=1, train_loss_step=7.73e+6, train_loss_epoch=7.74e+6]Epoch 95/3000:   3%|▎         | 95/3000 [00:38<22:17,  2.17it/s, v_num=1, train_loss_step=7.73e+6, train_loss_epoch=7.74e+6]Epoch 95/3000:   3%|▎         | 95/3000 [00:38<22:17,  2.17it/s, v_num=1, train_loss_step=7.56e+6, train_loss_epoch=7.7e+6] Epoch 96/3000:   3%|▎         | 95/3000 [00:38<22:17,  2.17it/s, v_num=1, train_loss_step=7.56e+6, train_loss_epoch=7.7e+6]Epoch 96/3000:   3%|▎         | 96/3000 [00:38<22:12,  2.18it/s, v_num=1, train_loss_step=7.56e+6, train_loss_epoch=7.7e+6]Epoch 96/3000:   3%|▎         | 96/3000 [00:38<22:12,  2.18it/s, v_num=1, train_loss_step=7.68e+6, train_loss_epoch=7.67e+6]Epoch 97/3000:   3%|▎         | 96/3000 [00:38<22:12,  2.18it/s, v_num=1, train_loss_step=7.68e+6, train_loss_epoch=7.67e+6]Epoch 97/3000:   3%|▎         | 97/3000 [00:39<21:26,  2.26it/s, v_num=1, train_loss_step=7.68e+6, train_loss_epoch=7.67e+6]Epoch 97/3000:   3%|▎         | 97/3000 [00:39<21:26,  2.26it/s, v_num=1, train_loss_step=7.57e+6, train_loss_epoch=7.63e+6]Epoch 98/3000:   3%|▎         | 97/3000 [00:39<21:26,  2.26it/s, v_num=1, train_loss_step=7.57e+6, train_loss_epoch=7.63e+6]Epoch 98/3000:   3%|▎         | 98/3000 [00:39<20:39,  2.34it/s, v_num=1, train_loss_step=7.57e+6, train_loss_epoch=7.63e+6]Epoch 98/3000:   3%|▎         | 98/3000 [00:39<20:39,  2.34it/s, v_num=1, train_loss_step=7.52e+6, train_loss_epoch=7.59e+6]Epoch 99/3000:   3%|▎         | 98/3000 [00:39<20:39,  2.34it/s, v_num=1, train_loss_step=7.52e+6, train_loss_epoch=7.59e+6]Epoch 99/3000:   3%|▎         | 99/3000 [00:40<20:21,  2.38it/s, v_num=1, train_loss_step=7.52e+6, train_loss_epoch=7.59e+6]Epoch 99/3000:   3%|▎         | 99/3000 [00:40<20:21,  2.38it/s, v_num=1, train_loss_step=7.63e+6, train_loss_epoch=7.56e+6]Epoch 100/3000:   3%|▎         | 99/3000 [00:40<20:21,  2.38it/s, v_num=1, train_loss_step=7.63e+6, train_loss_epoch=7.56e+6]Epoch 100/3000:   3%|▎         | 100/3000 [00:40<18:25,  2.62it/s, v_num=1, train_loss_step=7.63e+6, train_loss_epoch=7.56e+6]Epoch 100/3000:   3%|▎         | 100/3000 [00:40<18:25,  2.62it/s, v_num=1, train_loss_step=7.77e+6, train_loss_epoch=7.52e+6]Epoch 101/3000:   3%|▎         | 100/3000 [00:40<18:25,  2.62it/s, v_num=1, train_loss_step=7.77e+6, train_loss_epoch=7.52e+6]Epoch 101/3000:   3%|▎         | 101/3000 [00:40<17:45,  2.72it/s, v_num=1, train_loss_step=7.77e+6, train_loss_epoch=7.52e+6]Epoch 101/3000:   3%|▎         | 101/3000 [00:40<17:45,  2.72it/s, v_num=1, train_loss_step=7.65e+6, train_loss_epoch=7.49e+6]Epoch 102/3000:   3%|▎         | 101/3000 [00:40<17:45,  2.72it/s, v_num=1, train_loss_step=7.65e+6, train_loss_epoch=7.49e+6]Epoch 102/3000:   3%|▎         | 102/3000 [00:40<17:10,  2.81it/s, v_num=1, train_loss_step=7.65e+6, train_loss_epoch=7.49e+6]Epoch 102/3000:   3%|▎         | 102/3000 [00:41<17:10,  2.81it/s, v_num=1, train_loss_step=7.43e+6, train_loss_epoch=7.45e+6]Epoch 103/3000:   3%|▎         | 102/3000 [00:41<17:10,  2.81it/s, v_num=1, train_loss_step=7.43e+6, train_loss_epoch=7.45e+6]Epoch 103/3000:   3%|▎         | 103/3000 [00:41<20:40,  2.34it/s, v_num=1, train_loss_step=7.43e+6, train_loss_epoch=7.45e+6]Epoch 103/3000:   3%|▎         | 103/3000 [00:41<20:40,  2.34it/s, v_num=1, train_loss_step=7.43e+6, train_loss_epoch=7.42e+6]Epoch 104/3000:   3%|▎         | 103/3000 [00:41<20:40,  2.34it/s, v_num=1, train_loss_step=7.43e+6, train_loss_epoch=7.42e+6]Epoch 104/3000:   3%|▎         | 104/3000 [00:41<19:24,  2.49it/s, v_num=1, train_loss_step=7.43e+6, train_loss_epoch=7.42e+6]Epoch 104/3000:   3%|▎         | 104/3000 [00:41<19:24,  2.49it/s, v_num=1, train_loss_step=7.81e+6, train_loss_epoch=7.39e+6]Epoch 105/3000:   3%|▎         | 104/3000 [00:41<19:24,  2.49it/s, v_num=1, train_loss_step=7.81e+6, train_loss_epoch=7.39e+6]Epoch 105/3000:   4%|▎         | 105/3000 [00:42<17:30,  2.76it/s, v_num=1, train_loss_step=7.81e+6, train_loss_epoch=7.39e+6]Epoch 105/3000:   4%|▎         | 105/3000 [00:42<17:30,  2.76it/s, v_num=1, train_loss_step=7.28e+6, train_loss_epoch=7.35e+6]Epoch 106/3000:   4%|▎         | 105/3000 [00:42<17:30,  2.76it/s, v_num=1, train_loss_step=7.28e+6, train_loss_epoch=7.35e+6]Epoch 106/3000:   4%|▎         | 106/3000 [00:42<17:52,  2.70it/s, v_num=1, train_loss_step=7.28e+6, train_loss_epoch=7.35e+6]Epoch 106/3000:   4%|▎         | 106/3000 [00:42<17:52,  2.70it/s, v_num=1, train_loss_step=7.32e+6, train_loss_epoch=7.32e+6]Epoch 107/3000:   4%|▎         | 106/3000 [00:42<17:52,  2.70it/s, v_num=1, train_loss_step=7.32e+6, train_loss_epoch=7.32e+6]Epoch 107/3000:   4%|▎         | 107/3000 [00:43<18:30,  2.61it/s, v_num=1, train_loss_step=7.32e+6, train_loss_epoch=7.32e+6]Epoch 107/3000:   4%|▎         | 107/3000 [00:43<18:30,  2.61it/s, v_num=1, train_loss_step=7.22e+6, train_loss_epoch=7.29e+6]Epoch 108/3000:   4%|▎         | 107/3000 [00:43<18:30,  2.61it/s, v_num=1, train_loss_step=7.22e+6, train_loss_epoch=7.29e+6]Epoch 108/3000:   4%|▎         | 108/3000 [00:43<22:00,  2.19it/s, v_num=1, train_loss_step=7.22e+6, train_loss_epoch=7.29e+6]Epoch 108/3000:   4%|▎         | 108/3000 [00:43<22:00,  2.19it/s, v_num=1, train_loss_step=7.07e+6, train_loss_epoch=7.25e+6]Epoch 109/3000:   4%|▎         | 108/3000 [00:43<22:00,  2.19it/s, v_num=1, train_loss_step=7.07e+6, train_loss_epoch=7.25e+6]Epoch 109/3000:   4%|▎         | 109/3000 [00:43<19:27,  2.48it/s, v_num=1, train_loss_step=7.07e+6, train_loss_epoch=7.25e+6]Epoch 109/3000:   4%|▎         | 109/3000 [00:43<19:27,  2.48it/s, v_num=1, train_loss_step=7.05e+6, train_loss_epoch=7.22e+6]Epoch 110/3000:   4%|▎         | 109/3000 [00:43<19:27,  2.48it/s, v_num=1, train_loss_step=7.05e+6, train_loss_epoch=7.22e+6]Epoch 110/3000:   4%|▎         | 110/3000 [00:44<18:16,  2.63it/s, v_num=1, train_loss_step=7.05e+6, train_loss_epoch=7.22e+6]Epoch 110/3000:   4%|▎         | 110/3000 [00:44<18:16,  2.63it/s, v_num=1, train_loss_step=7.2e+6, train_loss_epoch=7.19e+6] Epoch 111/3000:   4%|▎         | 110/3000 [00:44<18:16,  2.63it/s, v_num=1, train_loss_step=7.2e+6, train_loss_epoch=7.19e+6]Epoch 111/3000:   4%|▎         | 111/3000 [00:44<17:16,  2.79it/s, v_num=1, train_loss_step=7.2e+6, train_loss_epoch=7.19e+6]Epoch 111/3000:   4%|▎         | 111/3000 [00:44<17:16,  2.79it/s, v_num=1, train_loss_step=7.02e+6, train_loss_epoch=7.15e+6]Epoch 112/3000:   4%|▎         | 111/3000 [00:44<17:16,  2.79it/s, v_num=1, train_loss_step=7.02e+6, train_loss_epoch=7.15e+6]Epoch 112/3000:   4%|▎         | 112/3000 [00:44<18:34,  2.59it/s, v_num=1, train_loss_step=7.02e+6, train_loss_epoch=7.15e+6]Epoch 112/3000:   4%|▎         | 112/3000 [00:44<18:34,  2.59it/s, v_num=1, train_loss_step=7.13e+6, train_loss_epoch=7.12e+6]Epoch 113/3000:   4%|▎         | 112/3000 [00:45<18:34,  2.59it/s, v_num=1, train_loss_step=7.13e+6, train_loss_epoch=7.12e+6]Epoch 113/3000:   4%|▍         | 113/3000 [00:45<20:01,  2.40it/s, v_num=1, train_loss_step=7.13e+6, train_loss_epoch=7.12e+6]Epoch 113/3000:   4%|▍         | 113/3000 [00:45<20:01,  2.40it/s, v_num=1, train_loss_step=7.17e+6, train_loss_epoch=7.09e+6]Epoch 114/3000:   4%|▍         | 113/3000 [00:45<20:01,  2.40it/s, v_num=1, train_loss_step=7.17e+6, train_loss_epoch=7.09e+6]Epoch 114/3000:   4%|▍         | 114/3000 [00:45<19:29,  2.47it/s, v_num=1, train_loss_step=7.17e+6, train_loss_epoch=7.09e+6]Epoch 114/3000:   4%|▍         | 114/3000 [00:45<19:29,  2.47it/s, v_num=1, train_loss_step=6.84e+6, train_loss_epoch=7.06e+6]Epoch 115/3000:   4%|▍         | 114/3000 [00:45<19:29,  2.47it/s, v_num=1, train_loss_step=6.84e+6, train_loss_epoch=7.06e+6]Epoch 115/3000:   4%|▍         | 115/3000 [00:46<18:30,  2.60it/s, v_num=1, train_loss_step=6.84e+6, train_loss_epoch=7.06e+6]Epoch 115/3000:   4%|▍         | 115/3000 [00:46<18:30,  2.60it/s, v_num=1, train_loss_step=7.15e+6, train_loss_epoch=7.03e+6]Epoch 116/3000:   4%|▍         | 115/3000 [00:46<18:30,  2.60it/s, v_num=1, train_loss_step=7.15e+6, train_loss_epoch=7.03e+6]Epoch 116/3000:   4%|▍         | 116/3000 [00:46<21:13,  2.26it/s, v_num=1, train_loss_step=7.15e+6, train_loss_epoch=7.03e+6]Epoch 116/3000:   4%|▍         | 116/3000 [00:46<21:13,  2.26it/s, v_num=1, train_loss_step=6.86e+6, train_loss_epoch=7e+6]   Epoch 117/3000:   4%|▍         | 116/3000 [00:46<21:13,  2.26it/s, v_num=1, train_loss_step=6.86e+6, train_loss_epoch=7e+6]Epoch 117/3000:   4%|▍         | 117/3000 [00:47<22:25,  2.14it/s, v_num=1, train_loss_step=6.86e+6, train_loss_epoch=7e+6]Epoch 117/3000:   4%|▍         | 117/3000 [00:47<22:25,  2.14it/s, v_num=1, train_loss_step=6.74e+6, train_loss_epoch=6.97e+6]Epoch 118/3000:   4%|▍         | 117/3000 [00:47<22:25,  2.14it/s, v_num=1, train_loss_step=6.74e+6, train_loss_epoch=6.97e+6]Epoch 118/3000:   4%|▍         | 118/3000 [00:47<23:51,  2.01it/s, v_num=1, train_loss_step=6.74e+6, train_loss_epoch=6.97e+6]Epoch 118/3000:   4%|▍         | 118/3000 [00:47<23:51,  2.01it/s, v_num=1, train_loss_step=6.85e+6, train_loss_epoch=6.93e+6]Epoch 119/3000:   4%|▍         | 118/3000 [00:47<23:51,  2.01it/s, v_num=1, train_loss_step=6.85e+6, train_loss_epoch=6.93e+6]Epoch 119/3000:   4%|▍         | 119/3000 [00:48<24:00,  2.00it/s, v_num=1, train_loss_step=6.85e+6, train_loss_epoch=6.93e+6]Epoch 119/3000:   4%|▍         | 119/3000 [00:48<24:00,  2.00it/s, v_num=1, train_loss_step=6.81e+6, train_loss_epoch=6.9e+6] Epoch 120/3000:   4%|▍         | 119/3000 [00:48<24:00,  2.00it/s, v_num=1, train_loss_step=6.81e+6, train_loss_epoch=6.9e+6]Epoch 120/3000:   4%|▍         | 120/3000 [00:48<25:11,  1.91it/s, v_num=1, train_loss_step=6.81e+6, train_loss_epoch=6.9e+6]Epoch 120/3000:   4%|▍         | 120/3000 [00:48<25:11,  1.91it/s, v_num=1, train_loss_step=6.83e+6, train_loss_epoch=6.87e+6]Epoch 121/3000:   4%|▍         | 120/3000 [00:48<25:11,  1.91it/s, v_num=1, train_loss_step=6.83e+6, train_loss_epoch=6.87e+6]Epoch 121/3000:   4%|▍         | 121/3000 [00:49<23:44,  2.02it/s, v_num=1, train_loss_step=6.83e+6, train_loss_epoch=6.87e+6]Epoch 121/3000:   4%|▍         | 121/3000 [00:49<23:44,  2.02it/s, v_num=1, train_loss_step=6.67e+6, train_loss_epoch=6.84e+6]Epoch 122/3000:   4%|▍         | 121/3000 [00:49<23:44,  2.02it/s, v_num=1, train_loss_step=6.67e+6, train_loss_epoch=6.84e+6]Epoch 122/3000:   4%|▍         | 122/3000 [00:49<22:57,  2.09it/s, v_num=1, train_loss_step=6.67e+6, train_loss_epoch=6.84e+6]Epoch 122/3000:   4%|▍         | 122/3000 [00:49<22:57,  2.09it/s, v_num=1, train_loss_step=6.83e+6, train_loss_epoch=6.81e+6]Epoch 123/3000:   4%|▍         | 122/3000 [00:49<22:57,  2.09it/s, v_num=1, train_loss_step=6.83e+6, train_loss_epoch=6.81e+6]Epoch 123/3000:   4%|▍         | 123/3000 [00:50<24:34,  1.95it/s, v_num=1, train_loss_step=6.83e+6, train_loss_epoch=6.81e+6]Epoch 123/3000:   4%|▍         | 123/3000 [00:50<24:34,  1.95it/s, v_num=1, train_loss_step=6.68e+6, train_loss_epoch=6.78e+6]Epoch 124/3000:   4%|▍         | 123/3000 [00:50<24:34,  1.95it/s, v_num=1, train_loss_step=6.68e+6, train_loss_epoch=6.78e+6]Epoch 124/3000:   4%|▍         | 124/3000 [00:50<22:28,  2.13it/s, v_num=1, train_loss_step=6.68e+6, train_loss_epoch=6.78e+6]Epoch 124/3000:   4%|▍         | 124/3000 [00:50<22:28,  2.13it/s, v_num=1, train_loss_step=6.68e+6, train_loss_epoch=6.76e+6]Epoch 125/3000:   4%|▍         | 124/3000 [00:50<22:28,  2.13it/s, v_num=1, train_loss_step=6.68e+6, train_loss_epoch=6.76e+6]Epoch 125/3000:   4%|▍         | 125/3000 [00:51<22:40,  2.11it/s, v_num=1, train_loss_step=6.68e+6, train_loss_epoch=6.76e+6]Epoch 125/3000:   4%|▍         | 125/3000 [00:51<22:40,  2.11it/s, v_num=1, train_loss_step=6.42e+6, train_loss_epoch=6.73e+6]Epoch 126/3000:   4%|▍         | 125/3000 [00:51<22:40,  2.11it/s, v_num=1, train_loss_step=6.42e+6, train_loss_epoch=6.73e+6]Epoch 126/3000:   4%|▍         | 126/3000 [00:51<24:00,  1.99it/s, v_num=1, train_loss_step=6.42e+6, train_loss_epoch=6.73e+6]Epoch 126/3000:   4%|▍         | 126/3000 [00:51<24:00,  1.99it/s, v_num=1, train_loss_step=6.83e+6, train_loss_epoch=6.7e+6] Epoch 127/3000:   4%|▍         | 126/3000 [00:51<24:00,  1.99it/s, v_num=1, train_loss_step=6.83e+6, train_loss_epoch=6.7e+6]Epoch 127/3000:   4%|▍         | 127/3000 [00:52<23:05,  2.07it/s, v_num=1, train_loss_step=6.83e+6, train_loss_epoch=6.7e+6]Epoch 127/3000:   4%|▍         | 127/3000 [00:52<23:05,  2.07it/s, v_num=1, train_loss_step=6.89e+6, train_loss_epoch=6.67e+6]Epoch 128/3000:   4%|▍         | 127/3000 [00:52<23:05,  2.07it/s, v_num=1, train_loss_step=6.89e+6, train_loss_epoch=6.67e+6]Epoch 128/3000:   4%|▍         | 128/3000 [00:52<24:53,  1.92it/s, v_num=1, train_loss_step=6.89e+6, train_loss_epoch=6.67e+6]Epoch 128/3000:   4%|▍         | 128/3000 [00:52<24:53,  1.92it/s, v_num=1, train_loss_step=6.69e+6, train_loss_epoch=6.64e+6]Epoch 129/3000:   4%|▍         | 128/3000 [00:52<24:53,  1.92it/s, v_num=1, train_loss_step=6.69e+6, train_loss_epoch=6.64e+6]Epoch 129/3000:   4%|▍         | 129/3000 [00:53<25:48,  1.85it/s, v_num=1, train_loss_step=6.69e+6, train_loss_epoch=6.64e+6]Epoch 129/3000:   4%|▍         | 129/3000 [00:53<25:48,  1.85it/s, v_num=1, train_loss_step=6.45e+6, train_loss_epoch=6.61e+6]Epoch 130/3000:   4%|▍         | 129/3000 [00:53<25:48,  1.85it/s, v_num=1, train_loss_step=6.45e+6, train_loss_epoch=6.61e+6]Epoch 130/3000:   4%|▍         | 130/3000 [00:54<27:01,  1.77it/s, v_num=1, train_loss_step=6.45e+6, train_loss_epoch=6.61e+6]Epoch 130/3000:   4%|▍         | 130/3000 [00:54<27:01,  1.77it/s, v_num=1, train_loss_step=6.41e+6, train_loss_epoch=6.58e+6]Epoch 131/3000:   4%|▍         | 130/3000 [00:54<27:01,  1.77it/s, v_num=1, train_loss_step=6.41e+6, train_loss_epoch=6.58e+6]Epoch 131/3000:   4%|▍         | 131/3000 [00:54<23:55,  2.00it/s, v_num=1, train_loss_step=6.41e+6, train_loss_epoch=6.58e+6]Epoch 131/3000:   4%|▍         | 131/3000 [00:54<23:55,  2.00it/s, v_num=1, train_loss_step=6.68e+6, train_loss_epoch=6.56e+6]Epoch 132/3000:   4%|▍         | 131/3000 [00:54<23:55,  2.00it/s, v_num=1, train_loss_step=6.68e+6, train_loss_epoch=6.56e+6]Epoch 132/3000:   4%|▍         | 132/3000 [00:54<21:14,  2.25it/s, v_num=1, train_loss_step=6.68e+6, train_loss_epoch=6.56e+6]Epoch 132/3000:   4%|▍         | 132/3000 [00:54<21:14,  2.25it/s, v_num=1, train_loss_step=6.49e+6, train_loss_epoch=6.53e+6]Epoch 133/3000:   4%|▍         | 132/3000 [00:54<21:14,  2.25it/s, v_num=1, train_loss_step=6.49e+6, train_loss_epoch=6.53e+6]Epoch 133/3000:   4%|▍         | 133/3000 [00:55<20:08,  2.37it/s, v_num=1, train_loss_step=6.49e+6, train_loss_epoch=6.53e+6]Epoch 133/3000:   4%|▍         | 133/3000 [00:55<20:08,  2.37it/s, v_num=1, train_loss_step=6.25e+6, train_loss_epoch=6.5e+6] Epoch 134/3000:   4%|▍         | 133/3000 [00:55<20:08,  2.37it/s, v_num=1, train_loss_step=6.25e+6, train_loss_epoch=6.5e+6]Epoch 134/3000:   4%|▍         | 134/3000 [00:55<22:24,  2.13it/s, v_num=1, train_loss_step=6.25e+6, train_loss_epoch=6.5e+6]Epoch 134/3000:   4%|▍         | 134/3000 [00:55<22:24,  2.13it/s, v_num=1, train_loss_step=6.54e+6, train_loss_epoch=6.47e+6]Epoch 135/3000:   4%|▍         | 134/3000 [00:55<22:24,  2.13it/s, v_num=1, train_loss_step=6.54e+6, train_loss_epoch=6.47e+6]Epoch 135/3000:   4%|▍         | 135/3000 [00:56<22:04,  2.16it/s, v_num=1, train_loss_step=6.54e+6, train_loss_epoch=6.47e+6]Epoch 135/3000:   4%|▍         | 135/3000 [00:56<22:04,  2.16it/s, v_num=1, train_loss_step=6.46e+6, train_loss_epoch=6.45e+6]Epoch 136/3000:   4%|▍         | 135/3000 [00:56<22:04,  2.16it/s, v_num=1, train_loss_step=6.46e+6, train_loss_epoch=6.45e+6]Epoch 136/3000:   5%|▍         | 136/3000 [00:56<22:53,  2.09it/s, v_num=1, train_loss_step=6.46e+6, train_loss_epoch=6.45e+6]Epoch 136/3000:   5%|▍         | 136/3000 [00:56<22:53,  2.09it/s, v_num=1, train_loss_step=6.44e+6, train_loss_epoch=6.42e+6]Epoch 137/3000:   5%|▍         | 136/3000 [00:56<22:53,  2.09it/s, v_num=1, train_loss_step=6.44e+6, train_loss_epoch=6.42e+6]Epoch 137/3000:   5%|▍         | 137/3000 [00:57<20:55,  2.28it/s, v_num=1, train_loss_step=6.44e+6, train_loss_epoch=6.42e+6]Epoch 137/3000:   5%|▍         | 137/3000 [00:57<20:55,  2.28it/s, v_num=1, train_loss_step=6.47e+6, train_loss_epoch=6.39e+6]Epoch 138/3000:   5%|▍         | 137/3000 [00:57<20:55,  2.28it/s, v_num=1, train_loss_step=6.47e+6, train_loss_epoch=6.39e+6]Epoch 138/3000:   5%|▍         | 138/3000 [00:57<19:15,  2.48it/s, v_num=1, train_loss_step=6.47e+6, train_loss_epoch=6.39e+6]Epoch 138/3000:   5%|▍         | 138/3000 [00:57<19:15,  2.48it/s, v_num=1, train_loss_step=6.38e+6, train_loss_epoch=6.37e+6]Epoch 139/3000:   5%|▍         | 138/3000 [00:57<19:15,  2.48it/s, v_num=1, train_loss_step=6.38e+6, train_loss_epoch=6.37e+6]Epoch 139/3000:   5%|▍         | 139/3000 [00:57<19:11,  2.48it/s, v_num=1, train_loss_step=6.38e+6, train_loss_epoch=6.37e+6]Epoch 139/3000:   5%|▍         | 139/3000 [00:57<19:11,  2.48it/s, v_num=1, train_loss_step=6.23e+6, train_loss_epoch=6.34e+6]Epoch 140/3000:   5%|▍         | 139/3000 [00:57<19:11,  2.48it/s, v_num=1, train_loss_step=6.23e+6, train_loss_epoch=6.34e+6]Epoch 140/3000:   5%|▍         | 140/3000 [00:58<19:01,  2.50it/s, v_num=1, train_loss_step=6.23e+6, train_loss_epoch=6.34e+6]Epoch 140/3000:   5%|▍         | 140/3000 [00:58<19:01,  2.50it/s, v_num=1, train_loss_step=6.66e+6, train_loss_epoch=6.31e+6]Epoch 141/3000:   5%|▍         | 140/3000 [00:58<19:01,  2.50it/s, v_num=1, train_loss_step=6.66e+6, train_loss_epoch=6.31e+6]Epoch 141/3000:   5%|▍         | 141/3000 [00:58<21:02,  2.26it/s, v_num=1, train_loss_step=6.66e+6, train_loss_epoch=6.31e+6]Epoch 141/3000:   5%|▍         | 141/3000 [00:58<21:02,  2.26it/s, v_num=1, train_loss_step=6.39e+6, train_loss_epoch=6.29e+6]Epoch 142/3000:   5%|▍         | 141/3000 [00:58<21:02,  2.26it/s, v_num=1, train_loss_step=6.39e+6, train_loss_epoch=6.29e+6]Epoch 142/3000:   5%|▍         | 142/3000 [00:59<21:15,  2.24it/s, v_num=1, train_loss_step=6.39e+6, train_loss_epoch=6.29e+6]Epoch 142/3000:   5%|▍         | 142/3000 [00:59<21:15,  2.24it/s, v_num=1, train_loss_step=6.44e+6, train_loss_epoch=6.26e+6]Epoch 143/3000:   5%|▍         | 142/3000 [00:59<21:15,  2.24it/s, v_num=1, train_loss_step=6.44e+6, train_loss_epoch=6.26e+6]Epoch 143/3000:   5%|▍         | 143/3000 [00:59<23:04,  2.06it/s, v_num=1, train_loss_step=6.44e+6, train_loss_epoch=6.26e+6]Epoch 143/3000:   5%|▍         | 143/3000 [00:59<23:04,  2.06it/s, v_num=1, train_loss_step=6.53e+6, train_loss_epoch=6.24e+6]Epoch 144/3000:   5%|▍         | 143/3000 [00:59<23:04,  2.06it/s, v_num=1, train_loss_step=6.53e+6, train_loss_epoch=6.24e+6]Epoch 144/3000:   5%|▍         | 144/3000 [01:00<22:37,  2.10it/s, v_num=1, train_loss_step=6.53e+6, train_loss_epoch=6.24e+6]Epoch 144/3000:   5%|▍         | 144/3000 [01:00<22:37,  2.10it/s, v_num=1, train_loss_step=5.77e+6, train_loss_epoch=6.21e+6]Epoch 145/3000:   5%|▍         | 144/3000 [01:00<22:37,  2.10it/s, v_num=1, train_loss_step=5.77e+6, train_loss_epoch=6.21e+6]Epoch 145/3000:   5%|▍         | 145/3000 [01:00<19:41,  2.42it/s, v_num=1, train_loss_step=5.77e+6, train_loss_epoch=6.21e+6]Epoch 145/3000:   5%|▍         | 145/3000 [01:00<19:41,  2.42it/s, v_num=1, train_loss_step=5.85e+6, train_loss_epoch=6.19e+6]Epoch 146/3000:   5%|▍         | 145/3000 [01:00<19:41,  2.42it/s, v_num=1, train_loss_step=5.85e+6, train_loss_epoch=6.19e+6]Epoch 146/3000:   5%|▍         | 146/3000 [01:00<20:34,  2.31it/s, v_num=1, train_loss_step=5.85e+6, train_loss_epoch=6.19e+6]Epoch 146/3000:   5%|▍         | 146/3000 [01:00<20:34,  2.31it/s, v_num=1, train_loss_step=5.9e+6, train_loss_epoch=6.16e+6] Epoch 147/3000:   5%|▍         | 146/3000 [01:00<20:34,  2.31it/s, v_num=1, train_loss_step=5.9e+6, train_loss_epoch=6.16e+6]Epoch 147/3000:   5%|▍         | 147/3000 [01:01<20:00,  2.38it/s, v_num=1, train_loss_step=5.9e+6, train_loss_epoch=6.16e+6]Epoch 147/3000:   5%|▍         | 147/3000 [01:01<20:00,  2.38it/s, v_num=1, train_loss_step=6.22e+6, train_loss_epoch=6.14e+6]Epoch 148/3000:   5%|▍         | 147/3000 [01:01<20:00,  2.38it/s, v_num=1, train_loss_step=6.22e+6, train_loss_epoch=6.14e+6]Epoch 148/3000:   5%|▍         | 148/3000 [01:01<20:37,  2.31it/s, v_num=1, train_loss_step=6.22e+6, train_loss_epoch=6.14e+6]Epoch 148/3000:   5%|▍         | 148/3000 [01:01<20:37,  2.31it/s, v_num=1, train_loss_step=6.08e+6, train_loss_epoch=6.11e+6]Epoch 149/3000:   5%|▍         | 148/3000 [01:01<20:37,  2.31it/s, v_num=1, train_loss_step=6.08e+6, train_loss_epoch=6.11e+6]Epoch 149/3000:   5%|▍         | 149/3000 [01:02<21:47,  2.18it/s, v_num=1, train_loss_step=6.08e+6, train_loss_epoch=6.11e+6]Epoch 149/3000:   5%|▍         | 149/3000 [01:02<21:47,  2.18it/s, v_num=1, train_loss_step=5.97e+6, train_loss_epoch=6.09e+6]Epoch 150/3000:   5%|▍         | 149/3000 [01:02<21:47,  2.18it/s, v_num=1, train_loss_step=5.97e+6, train_loss_epoch=6.09e+6]Epoch 150/3000:   5%|▌         | 150/3000 [01:02<21:46,  2.18it/s, v_num=1, train_loss_step=5.97e+6, train_loss_epoch=6.09e+6]Epoch 150/3000:   5%|▌         | 150/3000 [01:02<21:46,  2.18it/s, v_num=1, train_loss_step=5.7e+6, train_loss_epoch=6.06e+6] Epoch 151/3000:   5%|▌         | 150/3000 [01:02<21:46,  2.18it/s, v_num=1, train_loss_step=5.7e+6, train_loss_epoch=6.06e+6]Epoch 151/3000:   5%|▌         | 151/3000 [01:03<21:52,  2.17it/s, v_num=1, train_loss_step=5.7e+6, train_loss_epoch=6.06e+6]Epoch 151/3000:   5%|▌         | 151/3000 [01:03<21:52,  2.17it/s, v_num=1, train_loss_step=5.88e+6, train_loss_epoch=6.04e+6]Epoch 152/3000:   5%|▌         | 151/3000 [01:03<21:52,  2.17it/s, v_num=1, train_loss_step=5.88e+6, train_loss_epoch=6.04e+6]Epoch 152/3000:   5%|▌         | 152/3000 [01:03<19:15,  2.46it/s, v_num=1, train_loss_step=5.88e+6, train_loss_epoch=6.04e+6]Epoch 152/3000:   5%|▌         | 152/3000 [01:03<19:15,  2.46it/s, v_num=1, train_loss_step=6.16e+6, train_loss_epoch=6.02e+6]Epoch 153/3000:   5%|▌         | 152/3000 [01:03<19:15,  2.46it/s, v_num=1, train_loss_step=6.16e+6, train_loss_epoch=6.02e+6]Epoch 153/3000:   5%|▌         | 153/3000 [01:03<19:06,  2.48it/s, v_num=1, train_loss_step=6.16e+6, train_loss_epoch=6.02e+6]Epoch 153/3000:   5%|▌         | 153/3000 [01:03<19:06,  2.48it/s, v_num=1, train_loss_step=6.09e+6, train_loss_epoch=5.99e+6]Epoch 154/3000:   5%|▌         | 153/3000 [01:03<19:06,  2.48it/s, v_num=1, train_loss_step=6.09e+6, train_loss_epoch=5.99e+6]Epoch 154/3000:   5%|▌         | 154/3000 [01:04<20:01,  2.37it/s, v_num=1, train_loss_step=6.09e+6, train_loss_epoch=5.99e+6]Epoch 154/3000:   5%|▌         | 154/3000 [01:04<20:01,  2.37it/s, v_num=1, train_loss_step=6.21e+6, train_loss_epoch=5.97e+6]Epoch 155/3000:   5%|▌         | 154/3000 [01:04<20:01,  2.37it/s, v_num=1, train_loss_step=6.21e+6, train_loss_epoch=5.97e+6]Epoch 155/3000:   5%|▌         | 155/3000 [01:04<22:31,  2.10it/s, v_num=1, train_loss_step=6.21e+6, train_loss_epoch=5.97e+6]Epoch 155/3000:   5%|▌         | 155/3000 [01:04<22:31,  2.10it/s, v_num=1, train_loss_step=6.27e+6, train_loss_epoch=5.94e+6]Epoch 156/3000:   5%|▌         | 155/3000 [01:04<22:31,  2.10it/s, v_num=1, train_loss_step=6.27e+6, train_loss_epoch=5.94e+6]Epoch 156/3000:   5%|▌         | 156/3000 [01:05<23:08,  2.05it/s, v_num=1, train_loss_step=6.27e+6, train_loss_epoch=5.94e+6]Epoch 156/3000:   5%|▌         | 156/3000 [01:05<23:08,  2.05it/s, v_num=1, train_loss_step=5.82e+6, train_loss_epoch=5.92e+6]Epoch 157/3000:   5%|▌         | 156/3000 [01:05<23:08,  2.05it/s, v_num=1, train_loss_step=5.82e+6, train_loss_epoch=5.92e+6]Epoch 157/3000:   5%|▌         | 157/3000 [01:05<19:59,  2.37it/s, v_num=1, train_loss_step=5.82e+6, train_loss_epoch=5.92e+6]Epoch 157/3000:   5%|▌         | 157/3000 [01:05<19:59,  2.37it/s, v_num=1, train_loss_step=5.84e+6, train_loss_epoch=5.9e+6] Epoch 158/3000:   5%|▌         | 157/3000 [01:05<19:59,  2.37it/s, v_num=1, train_loss_step=5.84e+6, train_loss_epoch=5.9e+6]Epoch 158/3000:   5%|▌         | 158/3000 [01:06<21:20,  2.22it/s, v_num=1, train_loss_step=5.84e+6, train_loss_epoch=5.9e+6]Epoch 158/3000:   5%|▌         | 158/3000 [01:06<21:20,  2.22it/s, v_num=1, train_loss_step=5.85e+6, train_loss_epoch=5.88e+6]Epoch 159/3000:   5%|▌         | 158/3000 [01:06<21:20,  2.22it/s, v_num=1, train_loss_step=5.85e+6, train_loss_epoch=5.88e+6]Epoch 159/3000:   5%|▌         | 159/3000 [01:06<21:16,  2.23it/s, v_num=1, train_loss_step=5.85e+6, train_loss_epoch=5.88e+6]Epoch 159/3000:   5%|▌         | 159/3000 [01:06<21:16,  2.23it/s, v_num=1, train_loss_step=5.99e+6, train_loss_epoch=5.85e+6]Epoch 160/3000:   5%|▌         | 159/3000 [01:06<21:16,  2.23it/s, v_num=1, train_loss_step=5.99e+6, train_loss_epoch=5.85e+6]Epoch 160/3000:   5%|▌         | 160/3000 [01:07<20:50,  2.27it/s, v_num=1, train_loss_step=5.99e+6, train_loss_epoch=5.85e+6]Epoch 160/3000:   5%|▌         | 160/3000 [01:07<20:50,  2.27it/s, v_num=1, train_loss_step=5.94e+6, train_loss_epoch=5.83e+6]Epoch 161/3000:   5%|▌         | 160/3000 [01:07<20:50,  2.27it/s, v_num=1, train_loss_step=5.94e+6, train_loss_epoch=5.83e+6]Epoch 161/3000:   5%|▌         | 161/3000 [01:07<21:56,  2.16it/s, v_num=1, train_loss_step=5.94e+6, train_loss_epoch=5.83e+6]Epoch 161/3000:   5%|▌         | 161/3000 [01:07<21:56,  2.16it/s, v_num=1, train_loss_step=5.63e+6, train_loss_epoch=5.81e+6]Epoch 162/3000:   5%|▌         | 161/3000 [01:07<21:56,  2.16it/s, v_num=1, train_loss_step=5.63e+6, train_loss_epoch=5.81e+6]Epoch 162/3000:   5%|▌         | 162/3000 [01:08<21:04,  2.24it/s, v_num=1, train_loss_step=5.63e+6, train_loss_epoch=5.81e+6]Epoch 162/3000:   5%|▌         | 162/3000 [01:08<21:04,  2.24it/s, v_num=1, train_loss_step=5.72e+6, train_loss_epoch=5.79e+6]Epoch 163/3000:   5%|▌         | 162/3000 [01:08<21:04,  2.24it/s, v_num=1, train_loss_step=5.72e+6, train_loss_epoch=5.79e+6]Epoch 163/3000:   5%|▌         | 163/3000 [01:08<20:31,  2.30it/s, v_num=1, train_loss_step=5.72e+6, train_loss_epoch=5.79e+6]Epoch 163/3000:   5%|▌         | 163/3000 [01:08<20:31,  2.30it/s, v_num=1, train_loss_step=5.61e+6, train_loss_epoch=5.76e+6]Epoch 164/3000:   5%|▌         | 163/3000 [01:08<20:31,  2.30it/s, v_num=1, train_loss_step=5.61e+6, train_loss_epoch=5.76e+6]Epoch 164/3000:   5%|▌         | 164/3000 [01:08<17:18,  2.73it/s, v_num=1, train_loss_step=5.61e+6, train_loss_epoch=5.76e+6]Epoch 164/3000:   5%|▌         | 164/3000 [01:08<17:18,  2.73it/s, v_num=1, train_loss_step=5.77e+6, train_loss_epoch=5.74e+6]Epoch 165/3000:   5%|▌         | 164/3000 [01:08<17:18,  2.73it/s, v_num=1, train_loss_step=5.77e+6, train_loss_epoch=5.74e+6]Epoch 165/3000:   6%|▌         | 165/3000 [01:08<16:43,  2.82it/s, v_num=1, train_loss_step=5.77e+6, train_loss_epoch=5.74e+6]Epoch 165/3000:   6%|▌         | 165/3000 [01:08<16:43,  2.82it/s, v_num=1, train_loss_step=5.58e+6, train_loss_epoch=5.72e+6]Epoch 166/3000:   6%|▌         | 165/3000 [01:08<16:43,  2.82it/s, v_num=1, train_loss_step=5.58e+6, train_loss_epoch=5.72e+6]Epoch 166/3000:   6%|▌         | 166/3000 [01:09<16:31,  2.86it/s, v_num=1, train_loss_step=5.58e+6, train_loss_epoch=5.72e+6]Epoch 166/3000:   6%|▌         | 166/3000 [01:09<16:31,  2.86it/s, v_num=1, train_loss_step=5.64e+6, train_loss_epoch=5.7e+6] Epoch 167/3000:   6%|▌         | 166/3000 [01:09<16:31,  2.86it/s, v_num=1, train_loss_step=5.64e+6, train_loss_epoch=5.7e+6]Epoch 167/3000:   6%|▌         | 167/3000 [01:09<20:17,  2.33it/s, v_num=1, train_loss_step=5.64e+6, train_loss_epoch=5.7e+6]Epoch 167/3000:   6%|▌         | 167/3000 [01:09<20:17,  2.33it/s, v_num=1, train_loss_step=5.5e+6, train_loss_epoch=5.68e+6]Epoch 168/3000:   6%|▌         | 167/3000 [01:09<20:17,  2.33it/s, v_num=1, train_loss_step=5.5e+6, train_loss_epoch=5.68e+6]Epoch 168/3000:   6%|▌         | 168/3000 [01:10<23:26,  2.01it/s, v_num=1, train_loss_step=5.5e+6, train_loss_epoch=5.68e+6]Epoch 168/3000:   6%|▌         | 168/3000 [01:10<23:26,  2.01it/s, v_num=1, train_loss_step=5.8e+6, train_loss_epoch=5.65e+6]Epoch 169/3000:   6%|▌         | 168/3000 [01:10<23:26,  2.01it/s, v_num=1, train_loss_step=5.8e+6, train_loss_epoch=5.65e+6]Epoch 169/3000:   6%|▌         | 169/3000 [01:10<22:13,  2.12it/s, v_num=1, train_loss_step=5.8e+6, train_loss_epoch=5.65e+6]Epoch 169/3000:   6%|▌         | 169/3000 [01:10<22:13,  2.12it/s, v_num=1, train_loss_step=5.28e+6, train_loss_epoch=5.63e+6]Epoch 170/3000:   6%|▌         | 169/3000 [01:10<22:13,  2.12it/s, v_num=1, train_loss_step=5.28e+6, train_loss_epoch=5.63e+6]Epoch 170/3000:   6%|▌         | 170/3000 [01:11<23:01,  2.05it/s, v_num=1, train_loss_step=5.28e+6, train_loss_epoch=5.63e+6]Epoch 170/3000:   6%|▌         | 170/3000 [01:11<23:01,  2.05it/s, v_num=1, train_loss_step=5.36e+6, train_loss_epoch=5.61e+6]Epoch 171/3000:   6%|▌         | 170/3000 [01:11<23:01,  2.05it/s, v_num=1, train_loss_step=5.36e+6, train_loss_epoch=5.61e+6]Epoch 171/3000:   6%|▌         | 171/3000 [01:12<23:23,  2.02it/s, v_num=1, train_loss_step=5.36e+6, train_loss_epoch=5.61e+6]Epoch 171/3000:   6%|▌         | 171/3000 [01:12<23:23,  2.02it/s, v_num=1, train_loss_step=5.97e+6, train_loss_epoch=5.59e+6]Epoch 172/3000:   6%|▌         | 171/3000 [01:12<23:23,  2.02it/s, v_num=1, train_loss_step=5.97e+6, train_loss_epoch=5.59e+6]Epoch 172/3000:   6%|▌         | 172/3000 [01:12<23:16,  2.03it/s, v_num=1, train_loss_step=5.97e+6, train_loss_epoch=5.59e+6]Epoch 172/3000:   6%|▌         | 172/3000 [01:12<23:16,  2.03it/s, v_num=1, train_loss_step=5.49e+6, train_loss_epoch=5.57e+6]Epoch 173/3000:   6%|▌         | 172/3000 [01:12<23:16,  2.03it/s, v_num=1, train_loss_step=5.49e+6, train_loss_epoch=5.57e+6]Epoch 173/3000:   6%|▌         | 173/3000 [01:13<24:19,  1.94it/s, v_num=1, train_loss_step=5.49e+6, train_loss_epoch=5.57e+6]Epoch 173/3000:   6%|▌         | 173/3000 [01:13<24:19,  1.94it/s, v_num=1, train_loss_step=5.57e+6, train_loss_epoch=5.55e+6]Epoch 174/3000:   6%|▌         | 173/3000 [01:13<24:19,  1.94it/s, v_num=1, train_loss_step=5.57e+6, train_loss_epoch=5.55e+6]Epoch 174/3000:   6%|▌         | 174/3000 [01:13<22:01,  2.14it/s, v_num=1, train_loss_step=5.57e+6, train_loss_epoch=5.55e+6]Epoch 174/3000:   6%|▌         | 174/3000 [01:13<22:01,  2.14it/s, v_num=1, train_loss_step=5.59e+6, train_loss_epoch=5.53e+6]Epoch 175/3000:   6%|▌         | 174/3000 [01:13<22:01,  2.14it/s, v_num=1, train_loss_step=5.59e+6, train_loss_epoch=5.53e+6]Epoch 175/3000:   6%|▌         | 175/3000 [01:13<22:58,  2.05it/s, v_num=1, train_loss_step=5.59e+6, train_loss_epoch=5.53e+6]Epoch 175/3000:   6%|▌         | 175/3000 [01:13<22:58,  2.05it/s, v_num=1, train_loss_step=5.76e+6, train_loss_epoch=5.51e+6]Epoch 176/3000:   6%|▌         | 175/3000 [01:13<22:58,  2.05it/s, v_num=1, train_loss_step=5.76e+6, train_loss_epoch=5.51e+6]Epoch 176/3000:   6%|▌         | 176/3000 [01:14<22:52,  2.06it/s, v_num=1, train_loss_step=5.76e+6, train_loss_epoch=5.51e+6]Epoch 176/3000:   6%|▌         | 176/3000 [01:14<22:52,  2.06it/s, v_num=1, train_loss_step=5.27e+6, train_loss_epoch=5.49e+6]Epoch 177/3000:   6%|▌         | 176/3000 [01:14<22:52,  2.06it/s, v_num=1, train_loss_step=5.27e+6, train_loss_epoch=5.49e+6]Epoch 177/3000:   6%|▌         | 177/3000 [01:14<20:58,  2.24it/s, v_num=1, train_loss_step=5.27e+6, train_loss_epoch=5.49e+6]Epoch 177/3000:   6%|▌         | 177/3000 [01:14<20:58,  2.24it/s, v_num=1, train_loss_step=5.21e+6, train_loss_epoch=5.47e+6]Epoch 178/3000:   6%|▌         | 177/3000 [01:14<20:58,  2.24it/s, v_num=1, train_loss_step=5.21e+6, train_loss_epoch=5.47e+6]Epoch 178/3000:   6%|▌         | 178/3000 [01:15<19:46,  2.38it/s, v_num=1, train_loss_step=5.21e+6, train_loss_epoch=5.47e+6]Epoch 178/3000:   6%|▌         | 178/3000 [01:15<19:46,  2.38it/s, v_num=1, train_loss_step=5.42e+6, train_loss_epoch=5.45e+6]Epoch 179/3000:   6%|▌         | 178/3000 [01:15<19:46,  2.38it/s, v_num=1, train_loss_step=5.42e+6, train_loss_epoch=5.45e+6]Epoch 179/3000:   6%|▌         | 179/3000 [01:15<20:42,  2.27it/s, v_num=1, train_loss_step=5.42e+6, train_loss_epoch=5.45e+6]Epoch 179/3000:   6%|▌         | 179/3000 [01:15<20:42,  2.27it/s, v_num=1, train_loss_step=5.42e+6, train_loss_epoch=5.43e+6]Epoch 180/3000:   6%|▌         | 179/3000 [01:15<20:42,  2.27it/s, v_num=1, train_loss_step=5.42e+6, train_loss_epoch=5.43e+6]Epoch 180/3000:   6%|▌         | 180/3000 [01:16<20:35,  2.28it/s, v_num=1, train_loss_step=5.42e+6, train_loss_epoch=5.43e+6]Epoch 180/3000:   6%|▌         | 180/3000 [01:16<20:35,  2.28it/s, v_num=1, train_loss_step=5.7e+6, train_loss_epoch=5.41e+6] Epoch 181/3000:   6%|▌         | 180/3000 [01:16<20:35,  2.28it/s, v_num=1, train_loss_step=5.7e+6, train_loss_epoch=5.41e+6]Epoch 181/3000:   6%|▌         | 181/3000 [01:16<17:54,  2.62it/s, v_num=1, train_loss_step=5.7e+6, train_loss_epoch=5.41e+6]Epoch 181/3000:   6%|▌         | 181/3000 [01:16<17:54,  2.62it/s, v_num=1, train_loss_step=5.3e+6, train_loss_epoch=5.39e+6]Epoch 182/3000:   6%|▌         | 181/3000 [01:16<17:54,  2.62it/s, v_num=1, train_loss_step=5.3e+6, train_loss_epoch=5.39e+6]Epoch 182/3000:   6%|▌         | 182/3000 [01:16<17:00,  2.76it/s, v_num=1, train_loss_step=5.3e+6, train_loss_epoch=5.39e+6]Epoch 182/3000:   6%|▌         | 182/3000 [01:16<17:00,  2.76it/s, v_num=1, train_loss_step=5.43e+6, train_loss_epoch=5.37e+6]Epoch 183/3000:   6%|▌         | 182/3000 [01:16<17:00,  2.76it/s, v_num=1, train_loss_step=5.43e+6, train_loss_epoch=5.37e+6]Epoch 183/3000:   6%|▌         | 183/3000 [01:16<16:26,  2.86it/s, v_num=1, train_loss_step=5.43e+6, train_loss_epoch=5.37e+6]Epoch 183/3000:   6%|▌         | 183/3000 [01:16<16:26,  2.86it/s, v_num=1, train_loss_step=5.33e+6, train_loss_epoch=5.35e+6]Epoch 184/3000:   6%|▌         | 183/3000 [01:16<16:26,  2.86it/s, v_num=1, train_loss_step=5.33e+6, train_loss_epoch=5.35e+6]Epoch 184/3000:   6%|▌         | 184/3000 [01:17<18:49,  2.49it/s, v_num=1, train_loss_step=5.33e+6, train_loss_epoch=5.35e+6]Epoch 184/3000:   6%|▌         | 184/3000 [01:17<18:49,  2.49it/s, v_num=1, train_loss_step=5.35e+6, train_loss_epoch=5.33e+6]Epoch 185/3000:   6%|▌         | 184/3000 [01:17<18:49,  2.49it/s, v_num=1, train_loss_step=5.35e+6, train_loss_epoch=5.33e+6]Epoch 185/3000:   6%|▌         | 185/3000 [01:17<19:53,  2.36it/s, v_num=1, train_loss_step=5.35e+6, train_loss_epoch=5.33e+6]Epoch 185/3000:   6%|▌         | 185/3000 [01:17<19:53,  2.36it/s, v_num=1, train_loss_step=5.14e+6, train_loss_epoch=5.31e+6]Epoch 186/3000:   6%|▌         | 185/3000 [01:17<19:53,  2.36it/s, v_num=1, train_loss_step=5.14e+6, train_loss_epoch=5.31e+6]Epoch 186/3000:   6%|▌         | 186/3000 [01:18<17:24,  2.69it/s, v_num=1, train_loss_step=5.14e+6, train_loss_epoch=5.31e+6]Epoch 186/3000:   6%|▌         | 186/3000 [01:18<17:24,  2.69it/s, v_num=1, train_loss_step=5.48e+6, train_loss_epoch=5.29e+6]Epoch 187/3000:   6%|▌         | 186/3000 [01:18<17:24,  2.69it/s, v_num=1, train_loss_step=5.48e+6, train_loss_epoch=5.29e+6]Epoch 187/3000:   6%|▌         | 187/3000 [01:18<14:59,  3.13it/s, v_num=1, train_loss_step=5.48e+6, train_loss_epoch=5.29e+6]Epoch 187/3000:   6%|▌         | 187/3000 [01:18<14:59,  3.13it/s, v_num=1, train_loss_step=5.25e+6, train_loss_epoch=5.28e+6]Epoch 188/3000:   6%|▌         | 187/3000 [01:18<14:59,  3.13it/s, v_num=1, train_loss_step=5.25e+6, train_loss_epoch=5.28e+6]Epoch 188/3000:   6%|▋         | 188/3000 [01:18<16:06,  2.91it/s, v_num=1, train_loss_step=5.25e+6, train_loss_epoch=5.28e+6]Epoch 188/3000:   6%|▋         | 188/3000 [01:18<16:06,  2.91it/s, v_num=1, train_loss_step=5.17e+6, train_loss_epoch=5.26e+6]Epoch 189/3000:   6%|▋         | 188/3000 [01:18<16:06,  2.91it/s, v_num=1, train_loss_step=5.17e+6, train_loss_epoch=5.26e+6]Epoch 189/3000:   6%|▋         | 189/3000 [01:19<14:39,  3.20it/s, v_num=1, train_loss_step=5.17e+6, train_loss_epoch=5.26e+6]Epoch 189/3000:   6%|▋         | 189/3000 [01:19<14:39,  3.20it/s, v_num=1, train_loss_step=5.27e+6, train_loss_epoch=5.24e+6]Epoch 190/3000:   6%|▋         | 189/3000 [01:19<14:39,  3.20it/s, v_num=1, train_loss_step=5.27e+6, train_loss_epoch=5.24e+6]Epoch 190/3000:   6%|▋         | 190/3000 [01:19<18:40,  2.51it/s, v_num=1, train_loss_step=5.27e+6, train_loss_epoch=5.24e+6]Epoch 190/3000:   6%|▋         | 190/3000 [01:19<18:40,  2.51it/s, v_num=1, train_loss_step=5.18e+6, train_loss_epoch=5.22e+6]Epoch 191/3000:   6%|▋         | 190/3000 [01:19<18:40,  2.51it/s, v_num=1, train_loss_step=5.18e+6, train_loss_epoch=5.22e+6]Epoch 191/3000:   6%|▋         | 191/3000 [01:20<20:06,  2.33it/s, v_num=1, train_loss_step=5.18e+6, train_loss_epoch=5.22e+6]Epoch 191/3000:   6%|▋         | 191/3000 [01:20<20:06,  2.33it/s, v_num=1, train_loss_step=4.75e+6, train_loss_epoch=5.2e+6] Epoch 192/3000:   6%|▋         | 191/3000 [01:20<20:06,  2.33it/s, v_num=1, train_loss_step=4.75e+6, train_loss_epoch=5.2e+6]Epoch 192/3000:   6%|▋         | 192/3000 [01:20<20:52,  2.24it/s, v_num=1, train_loss_step=4.75e+6, train_loss_epoch=5.2e+6]Epoch 192/3000:   6%|▋         | 192/3000 [01:20<20:52,  2.24it/s, v_num=1, train_loss_step=5.26e+6, train_loss_epoch=5.18e+6]Epoch 193/3000:   6%|▋         | 192/3000 [01:20<20:52,  2.24it/s, v_num=1, train_loss_step=5.26e+6, train_loss_epoch=5.18e+6]Epoch 193/3000:   6%|▋         | 193/3000 [01:21<22:04,  2.12it/s, v_num=1, train_loss_step=5.26e+6, train_loss_epoch=5.18e+6]Epoch 193/3000:   6%|▋         | 193/3000 [01:21<22:04,  2.12it/s, v_num=1, train_loss_step=4.95e+6, train_loss_epoch=5.17e+6]Epoch 194/3000:   6%|▋         | 193/3000 [01:21<22:04,  2.12it/s, v_num=1, train_loss_step=4.95e+6, train_loss_epoch=5.17e+6]Epoch 194/3000:   6%|▋         | 194/3000 [01:21<20:50,  2.24it/s, v_num=1, train_loss_step=4.95e+6, train_loss_epoch=5.17e+6]Epoch 194/3000:   6%|▋         | 194/3000 [01:21<20:50,  2.24it/s, v_num=1, train_loss_step=5.51e+6, train_loss_epoch=5.15e+6]Epoch 195/3000:   6%|▋         | 194/3000 [01:21<20:50,  2.24it/s, v_num=1, train_loss_step=5.51e+6, train_loss_epoch=5.15e+6]Epoch 195/3000:   6%|▋         | 195/3000 [01:21<19:54,  2.35it/s, v_num=1, train_loss_step=5.51e+6, train_loss_epoch=5.15e+6]Epoch 195/3000:   6%|▋         | 195/3000 [01:21<19:54,  2.35it/s, v_num=1, train_loss_step=4.85e+6, train_loss_epoch=5.13e+6]Epoch 196/3000:   6%|▋         | 195/3000 [01:21<19:54,  2.35it/s, v_num=1, train_loss_step=4.85e+6, train_loss_epoch=5.13e+6]Epoch 196/3000:   7%|▋         | 196/3000 [01:22<21:47,  2.14it/s, v_num=1, train_loss_step=4.85e+6, train_loss_epoch=5.13e+6]Epoch 196/3000:   7%|▋         | 196/3000 [01:22<21:47,  2.14it/s, v_num=1, train_loss_step=5.15e+6, train_loss_epoch=5.11e+6]Epoch 197/3000:   7%|▋         | 196/3000 [01:22<21:47,  2.14it/s, v_num=1, train_loss_step=5.15e+6, train_loss_epoch=5.11e+6]Epoch 197/3000:   7%|▋         | 197/3000 [01:22<21:41,  2.15it/s, v_num=1, train_loss_step=5.15e+6, train_loss_epoch=5.11e+6]Epoch 197/3000:   7%|▋         | 197/3000 [01:22<21:41,  2.15it/s, v_num=1, train_loss_step=5.32e+6, train_loss_epoch=5.09e+6]Epoch 198/3000:   7%|▋         | 197/3000 [01:22<21:41,  2.15it/s, v_num=1, train_loss_step=5.32e+6, train_loss_epoch=5.09e+6]Epoch 198/3000:   7%|▋         | 198/3000 [01:23<20:10,  2.31it/s, v_num=1, train_loss_step=5.32e+6, train_loss_epoch=5.09e+6]Epoch 198/3000:   7%|▋         | 198/3000 [01:23<20:10,  2.31it/s, v_num=1, train_loss_step=5.26e+6, train_loss_epoch=5.08e+6]Epoch 199/3000:   7%|▋         | 198/3000 [01:23<20:10,  2.31it/s, v_num=1, train_loss_step=5.26e+6, train_loss_epoch=5.08e+6]Epoch 199/3000:   7%|▋         | 199/3000 [01:23<19:55,  2.34it/s, v_num=1, train_loss_step=5.26e+6, train_loss_epoch=5.08e+6]Epoch 199/3000:   7%|▋         | 199/3000 [01:23<19:55,  2.34it/s, v_num=1, train_loss_step=5.05e+6, train_loss_epoch=5.06e+6]Epoch 200/3000:   7%|▋         | 199/3000 [01:23<19:55,  2.34it/s, v_num=1, train_loss_step=5.05e+6, train_loss_epoch=5.06e+6]Epoch 200/3000:   7%|▋         | 200/3000 [01:24<20:08,  2.32it/s, v_num=1, train_loss_step=5.05e+6, train_loss_epoch=5.06e+6]Epoch 200/3000:   7%|▋         | 200/3000 [01:24<20:08,  2.32it/s, v_num=1, train_loss_step=5.05e+6, train_loss_epoch=5.04e+6]Epoch 201/3000:   7%|▋         | 200/3000 [01:24<20:08,  2.32it/s, v_num=1, train_loss_step=5.05e+6, train_loss_epoch=5.04e+6]Epoch 201/3000:   7%|▋         | 201/3000 [01:24<21:19,  2.19it/s, v_num=1, train_loss_step=5.05e+6, train_loss_epoch=5.04e+6]Epoch 201/3000:   7%|▋         | 201/3000 [01:24<21:19,  2.19it/s, v_num=1, train_loss_step=5.04e+6, train_loss_epoch=5.03e+6]Epoch 202/3000:   7%|▋         | 201/3000 [01:24<21:19,  2.19it/s, v_num=1, train_loss_step=5.04e+6, train_loss_epoch=5.03e+6]Epoch 202/3000:   7%|▋         | 202/3000 [01:25<19:32,  2.39it/s, v_num=1, train_loss_step=5.04e+6, train_loss_epoch=5.03e+6]Epoch 202/3000:   7%|▋         | 202/3000 [01:25<19:32,  2.39it/s, v_num=1, train_loss_step=4.92e+6, train_loss_epoch=5.01e+6]Epoch 203/3000:   7%|▋         | 202/3000 [01:25<19:32,  2.39it/s, v_num=1, train_loss_step=4.92e+6, train_loss_epoch=5.01e+6]Epoch 203/3000:   7%|▋         | 203/3000 [01:25<16:39,  2.80it/s, v_num=1, train_loss_step=4.92e+6, train_loss_epoch=5.01e+6]Epoch 203/3000:   7%|▋         | 203/3000 [01:25<16:39,  2.80it/s, v_num=1, train_loss_step=5.01e+6, train_loss_epoch=4.99e+6]Epoch 204/3000:   7%|▋         | 203/3000 [01:25<16:39,  2.80it/s, v_num=1, train_loss_step=5.01e+6, train_loss_epoch=4.99e+6]Epoch 204/3000:   7%|▋         | 204/3000 [01:25<15:45,  2.96it/s, v_num=1, train_loss_step=5.01e+6, train_loss_epoch=4.99e+6]Epoch 204/3000:   7%|▋         | 204/3000 [01:25<15:45,  2.96it/s, v_num=1, train_loss_step=4.81e+6, train_loss_epoch=4.97e+6]Epoch 205/3000:   7%|▋         | 204/3000 [01:25<15:45,  2.96it/s, v_num=1, train_loss_step=4.81e+6, train_loss_epoch=4.97e+6]Epoch 205/3000:   7%|▋         | 205/3000 [01:25<16:28,  2.83it/s, v_num=1, train_loss_step=4.81e+6, train_loss_epoch=4.97e+6]Epoch 205/3000:   7%|▋         | 205/3000 [01:25<16:28,  2.83it/s, v_num=1, train_loss_step=4.99e+6, train_loss_epoch=4.96e+6]Epoch 206/3000:   7%|▋         | 205/3000 [01:25<16:28,  2.83it/s, v_num=1, train_loss_step=4.99e+6, train_loss_epoch=4.96e+6]Epoch 206/3000:   7%|▋         | 206/3000 [01:26<20:18,  2.29it/s, v_num=1, train_loss_step=4.99e+6, train_loss_epoch=4.96e+6]Epoch 206/3000:   7%|▋         | 206/3000 [01:26<20:18,  2.29it/s, v_num=1, train_loss_step=5.15e+6, train_loss_epoch=4.94e+6]Epoch 207/3000:   7%|▋         | 206/3000 [01:26<20:18,  2.29it/s, v_num=1, train_loss_step=5.15e+6, train_loss_epoch=4.94e+6]Epoch 207/3000:   7%|▋         | 207/3000 [01:27<20:56,  2.22it/s, v_num=1, train_loss_step=5.15e+6, train_loss_epoch=4.94e+6]Epoch 207/3000:   7%|▋         | 207/3000 [01:27<20:56,  2.22it/s, v_num=1, train_loss_step=5.1e+6, train_loss_epoch=4.92e+6] Epoch 208/3000:   7%|▋         | 207/3000 [01:27<20:56,  2.22it/s, v_num=1, train_loss_step=5.1e+6, train_loss_epoch=4.92e+6]Epoch 208/3000:   7%|▋         | 208/3000 [01:27<21:22,  2.18it/s, v_num=1, train_loss_step=5.1e+6, train_loss_epoch=4.92e+6]Epoch 208/3000:   7%|▋         | 208/3000 [01:27<21:22,  2.18it/s, v_num=1, train_loss_step=4.96e+6, train_loss_epoch=4.91e+6]Epoch 209/3000:   7%|▋         | 208/3000 [01:27<21:22,  2.18it/s, v_num=1, train_loss_step=4.96e+6, train_loss_epoch=4.91e+6]Epoch 209/3000:   7%|▋         | 209/3000 [01:28<24:44,  1.88it/s, v_num=1, train_loss_step=4.96e+6, train_loss_epoch=4.91e+6]Epoch 209/3000:   7%|▋         | 209/3000 [01:28<24:44,  1.88it/s, v_num=1, train_loss_step=4.93e+6, train_loss_epoch=4.89e+6]Epoch 210/3000:   7%|▋         | 209/3000 [01:28<24:44,  1.88it/s, v_num=1, train_loss_step=4.93e+6, train_loss_epoch=4.89e+6]Epoch 210/3000:   7%|▋         | 210/3000 [01:28<25:29,  1.82it/s, v_num=1, train_loss_step=4.93e+6, train_loss_epoch=4.89e+6]Epoch 210/3000:   7%|▋         | 210/3000 [01:28<25:29,  1.82it/s, v_num=1, train_loss_step=4.83e+6, train_loss_epoch=4.88e+6]Epoch 211/3000:   7%|▋         | 210/3000 [01:28<25:29,  1.82it/s, v_num=1, train_loss_step=4.83e+6, train_loss_epoch=4.88e+6]Epoch 211/3000:   7%|▋         | 211/3000 [01:29<23:09,  2.01it/s, v_num=1, train_loss_step=4.83e+6, train_loss_epoch=4.88e+6]Epoch 211/3000:   7%|▋         | 211/3000 [01:29<23:09,  2.01it/s, v_num=1, train_loss_step=4.79e+6, train_loss_epoch=4.86e+6]Epoch 212/3000:   7%|▋         | 211/3000 [01:29<23:09,  2.01it/s, v_num=1, train_loss_step=4.79e+6, train_loss_epoch=4.86e+6]Epoch 212/3000:   7%|▋         | 212/3000 [01:29<22:19,  2.08it/s, v_num=1, train_loss_step=4.79e+6, train_loss_epoch=4.86e+6]Epoch 212/3000:   7%|▋         | 212/3000 [01:29<22:19,  2.08it/s, v_num=1, train_loss_step=5.07e+6, train_loss_epoch=4.84e+6]Epoch 213/3000:   7%|▋         | 212/3000 [01:29<22:19,  2.08it/s, v_num=1, train_loss_step=5.07e+6, train_loss_epoch=4.84e+6]Epoch 213/3000:   7%|▋         | 213/3000 [01:30<22:20,  2.08it/s, v_num=1, train_loss_step=5.07e+6, train_loss_epoch=4.84e+6]Epoch 213/3000:   7%|▋         | 213/3000 [01:30<22:20,  2.08it/s, v_num=1, train_loss_step=4.6e+6, train_loss_epoch=4.83e+6] Epoch 214/3000:   7%|▋         | 213/3000 [01:30<22:20,  2.08it/s, v_num=1, train_loss_step=4.6e+6, train_loss_epoch=4.83e+6]Epoch 214/3000:   7%|▋         | 214/3000 [01:30<19:01,  2.44it/s, v_num=1, train_loss_step=4.6e+6, train_loss_epoch=4.83e+6]Epoch 214/3000:   7%|▋         | 214/3000 [01:30<19:01,  2.44it/s, v_num=1, train_loss_step=4.8e+6, train_loss_epoch=4.81e+6]Epoch 215/3000:   7%|▋         | 214/3000 [01:30<19:01,  2.44it/s, v_num=1, train_loss_step=4.8e+6, train_loss_epoch=4.81e+6]Epoch 215/3000:   7%|▋         | 215/3000 [01:30<17:49,  2.60it/s, v_num=1, train_loss_step=4.8e+6, train_loss_epoch=4.81e+6]Epoch 215/3000:   7%|▋         | 215/3000 [01:30<17:49,  2.60it/s, v_num=1, train_loss_step=4.91e+6, train_loss_epoch=4.8e+6]Epoch 216/3000:   7%|▋         | 215/3000 [01:30<17:49,  2.60it/s, v_num=1, train_loss_step=4.91e+6, train_loss_epoch=4.8e+6]Epoch 216/3000:   7%|▋         | 216/3000 [01:30<16:24,  2.83it/s, v_num=1, train_loss_step=4.91e+6, train_loss_epoch=4.8e+6]Epoch 216/3000:   7%|▋         | 216/3000 [01:30<16:24,  2.83it/s, v_num=1, train_loss_step=4.77e+6, train_loss_epoch=4.78e+6]Epoch 217/3000:   7%|▋         | 216/3000 [01:30<16:24,  2.83it/s, v_num=1, train_loss_step=4.77e+6, train_loss_epoch=4.78e+6]Epoch 217/3000:   7%|▋         | 217/3000 [01:31<19:34,  2.37it/s, v_num=1, train_loss_step=4.77e+6, train_loss_epoch=4.78e+6]Epoch 217/3000:   7%|▋         | 217/3000 [01:31<19:34,  2.37it/s, v_num=1, train_loss_step=4.56e+6, train_loss_epoch=4.76e+6]Epoch 218/3000:   7%|▋         | 217/3000 [01:31<19:34,  2.37it/s, v_num=1, train_loss_step=4.56e+6, train_loss_epoch=4.76e+6]Epoch 218/3000:   7%|▋         | 218/3000 [01:32<20:44,  2.23it/s, v_num=1, train_loss_step=4.56e+6, train_loss_epoch=4.76e+6]Epoch 218/3000:   7%|▋         | 218/3000 [01:32<20:44,  2.23it/s, v_num=1, train_loss_step=4.56e+6, train_loss_epoch=4.75e+6]Epoch 219/3000:   7%|▋         | 218/3000 [01:32<20:44,  2.23it/s, v_num=1, train_loss_step=4.56e+6, train_loss_epoch=4.75e+6]Epoch 219/3000:   7%|▋         | 219/3000 [01:32<20:12,  2.29it/s, v_num=1, train_loss_step=4.56e+6, train_loss_epoch=4.75e+6]Epoch 219/3000:   7%|▋         | 219/3000 [01:32<20:12,  2.29it/s, v_num=1, train_loss_step=4.83e+6, train_loss_epoch=4.73e+6]Epoch 220/3000:   7%|▋         | 219/3000 [01:32<20:12,  2.29it/s, v_num=1, train_loss_step=4.83e+6, train_loss_epoch=4.73e+6]Epoch 220/3000:   7%|▋         | 220/3000 [01:32<21:16,  2.18it/s, v_num=1, train_loss_step=4.83e+6, train_loss_epoch=4.73e+6]Epoch 220/3000:   7%|▋         | 220/3000 [01:32<21:16,  2.18it/s, v_num=1, train_loss_step=4.46e+6, train_loss_epoch=4.72e+6]Epoch 221/3000:   7%|▋         | 220/3000 [01:32<21:16,  2.18it/s, v_num=1, train_loss_step=4.46e+6, train_loss_epoch=4.72e+6]Epoch 221/3000:   7%|▋         | 221/3000 [01:33<23:08,  2.00it/s, v_num=1, train_loss_step=4.46e+6, train_loss_epoch=4.72e+6]Epoch 221/3000:   7%|▋         | 221/3000 [01:33<23:08,  2.00it/s, v_num=1, train_loss_step=4.64e+6, train_loss_epoch=4.7e+6] Epoch 222/3000:   7%|▋         | 221/3000 [01:33<23:08,  2.00it/s, v_num=1, train_loss_step=4.64e+6, train_loss_epoch=4.7e+6]Epoch 222/3000:   7%|▋         | 222/3000 [01:33<19:06,  2.42it/s, v_num=1, train_loss_step=4.64e+6, train_loss_epoch=4.7e+6]Epoch 222/3000:   7%|▋         | 222/3000 [01:33<19:06,  2.42it/s, v_num=1, train_loss_step=4.65e+6, train_loss_epoch=4.69e+6]Epoch 223/3000:   7%|▋         | 222/3000 [01:33<19:06,  2.42it/s, v_num=1, train_loss_step=4.65e+6, train_loss_epoch=4.69e+6]Epoch 223/3000:   7%|▋         | 223/3000 [01:34<18:49,  2.46it/s, v_num=1, train_loss_step=4.65e+6, train_loss_epoch=4.69e+6]Epoch 223/3000:   7%|▋         | 223/3000 [01:34<18:49,  2.46it/s, v_num=1, train_loss_step=4.85e+6, train_loss_epoch=4.67e+6]Epoch 224/3000:   7%|▋         | 223/3000 [01:34<18:49,  2.46it/s, v_num=1, train_loss_step=4.85e+6, train_loss_epoch=4.67e+6]Epoch 224/3000:   7%|▋         | 224/3000 [01:34<15:33,  2.97it/s, v_num=1, train_loss_step=4.85e+6, train_loss_epoch=4.67e+6]Epoch 224/3000:   7%|▋         | 224/3000 [01:34<15:33,  2.97it/s, v_num=1, train_loss_step=4.76e+6, train_loss_epoch=4.66e+6]Epoch 225/3000:   7%|▋         | 224/3000 [01:34<15:33,  2.97it/s, v_num=1, train_loss_step=4.76e+6, train_loss_epoch=4.66e+6]Epoch 225/3000:   8%|▊         | 225/3000 [01:34<16:15,  2.84it/s, v_num=1, train_loss_step=4.76e+6, train_loss_epoch=4.66e+6]Epoch 225/3000:   8%|▊         | 225/3000 [01:34<16:15,  2.84it/s, v_num=1, train_loss_step=4.71e+6, train_loss_epoch=4.64e+6]Epoch 226/3000:   8%|▊         | 225/3000 [01:34<16:15,  2.84it/s, v_num=1, train_loss_step=4.71e+6, train_loss_epoch=4.64e+6]Epoch 226/3000:   8%|▊         | 226/3000 [01:35<16:53,  2.74it/s, v_num=1, train_loss_step=4.71e+6, train_loss_epoch=4.64e+6]Epoch 226/3000:   8%|▊         | 226/3000 [01:35<16:53,  2.74it/s, v_num=1, train_loss_step=4.52e+6, train_loss_epoch=4.63e+6]Epoch 227/3000:   8%|▊         | 226/3000 [01:35<16:53,  2.74it/s, v_num=1, train_loss_step=4.52e+6, train_loss_epoch=4.63e+6]Epoch 227/3000:   8%|▊         | 227/3000 [01:35<16:42,  2.77it/s, v_num=1, train_loss_step=4.52e+6, train_loss_epoch=4.63e+6]Epoch 227/3000:   8%|▊         | 227/3000 [01:35<16:42,  2.77it/s, v_num=1, train_loss_step=4.49e+6, train_loss_epoch=4.61e+6]Epoch 228/3000:   8%|▊         | 227/3000 [01:35<16:42,  2.77it/s, v_num=1, train_loss_step=4.49e+6, train_loss_epoch=4.61e+6]Epoch 228/3000:   8%|▊         | 228/3000 [01:35<15:37,  2.96it/s, v_num=1, train_loss_step=4.49e+6, train_loss_epoch=4.61e+6]Epoch 228/3000:   8%|▊         | 228/3000 [01:35<15:37,  2.96it/s, v_num=1, train_loss_step=4.39e+6, train_loss_epoch=4.6e+6] Epoch 229/3000:   8%|▊         | 228/3000 [01:35<15:37,  2.96it/s, v_num=1, train_loss_step=4.39e+6, train_loss_epoch=4.6e+6]Epoch 229/3000:   8%|▊         | 229/3000 [01:36<17:03,  2.71it/s, v_num=1, train_loss_step=4.39e+6, train_loss_epoch=4.6e+6]Epoch 229/3000:   8%|▊         | 229/3000 [01:36<17:03,  2.71it/s, v_num=1, train_loss_step=4.52e+6, train_loss_epoch=4.59e+6]Epoch 230/3000:   8%|▊         | 229/3000 [01:36<17:03,  2.71it/s, v_num=1, train_loss_step=4.52e+6, train_loss_epoch=4.59e+6]Epoch 230/3000:   8%|▊         | 230/3000 [01:36<18:53,  2.44it/s, v_num=1, train_loss_step=4.52e+6, train_loss_epoch=4.59e+6]Epoch 230/3000:   8%|▊         | 230/3000 [01:36<18:53,  2.44it/s, v_num=1, train_loss_step=4.53e+6, train_loss_epoch=4.57e+6]Epoch 231/3000:   8%|▊         | 230/3000 [01:36<18:53,  2.44it/s, v_num=1, train_loss_step=4.53e+6, train_loss_epoch=4.57e+6]Epoch 231/3000:   8%|▊         | 231/3000 [01:37<22:34,  2.04it/s, v_num=1, train_loss_step=4.53e+6, train_loss_epoch=4.57e+6]Epoch 231/3000:   8%|▊         | 231/3000 [01:37<22:34,  2.04it/s, v_num=1, train_loss_step=4.48e+6, train_loss_epoch=4.56e+6]Epoch 232/3000:   8%|▊         | 231/3000 [01:37<22:34,  2.04it/s, v_num=1, train_loss_step=4.48e+6, train_loss_epoch=4.56e+6]Epoch 232/3000:   8%|▊         | 232/3000 [01:37<24:04,  1.92it/s, v_num=1, train_loss_step=4.48e+6, train_loss_epoch=4.56e+6]Epoch 232/3000:   8%|▊         | 232/3000 [01:37<24:04,  1.92it/s, v_num=1, train_loss_step=4.62e+6, train_loss_epoch=4.54e+6]Epoch 233/3000:   8%|▊         | 232/3000 [01:37<24:04,  1.92it/s, v_num=1, train_loss_step=4.62e+6, train_loss_epoch=4.54e+6]Epoch 233/3000:   8%|▊         | 233/3000 [01:38<22:30,  2.05it/s, v_num=1, train_loss_step=4.62e+6, train_loss_epoch=4.54e+6]Epoch 233/3000:   8%|▊         | 233/3000 [01:38<22:30,  2.05it/s, v_num=1, train_loss_step=4.59e+6, train_loss_epoch=4.53e+6]Epoch 234/3000:   8%|▊         | 233/3000 [01:38<22:30,  2.05it/s, v_num=1, train_loss_step=4.59e+6, train_loss_epoch=4.53e+6]Epoch 234/3000:   8%|▊         | 234/3000 [01:38<21:32,  2.14it/s, v_num=1, train_loss_step=4.59e+6, train_loss_epoch=4.53e+6]Epoch 234/3000:   8%|▊         | 234/3000 [01:38<21:32,  2.14it/s, v_num=1, train_loss_step=4.66e+6, train_loss_epoch=4.51e+6]Epoch 235/3000:   8%|▊         | 234/3000 [01:38<21:32,  2.14it/s, v_num=1, train_loss_step=4.66e+6, train_loss_epoch=4.51e+6]Epoch 235/3000:   8%|▊         | 235/3000 [01:39<22:30,  2.05it/s, v_num=1, train_loss_step=4.66e+6, train_loss_epoch=4.51e+6]Epoch 235/3000:   8%|▊         | 235/3000 [01:39<22:30,  2.05it/s, v_num=1, train_loss_step=4.58e+6, train_loss_epoch=4.5e+6] Epoch 236/3000:   8%|▊         | 235/3000 [01:39<22:30,  2.05it/s, v_num=1, train_loss_step=4.58e+6, train_loss_epoch=4.5e+6]Epoch 236/3000:   8%|▊         | 236/3000 [01:39<21:54,  2.10it/s, v_num=1, train_loss_step=4.58e+6, train_loss_epoch=4.5e+6]Epoch 236/3000:   8%|▊         | 236/3000 [01:39<21:54,  2.10it/s, v_num=1, train_loss_step=4.41e+6, train_loss_epoch=4.49e+6]Epoch 237/3000:   8%|▊         | 236/3000 [01:39<21:54,  2.10it/s, v_num=1, train_loss_step=4.41e+6, train_loss_epoch=4.49e+6]Epoch 237/3000:   8%|▊         | 237/3000 [01:40<21:30,  2.14it/s, v_num=1, train_loss_step=4.41e+6, train_loss_epoch=4.49e+6]Epoch 237/3000:   8%|▊         | 237/3000 [01:40<21:30,  2.14it/s, v_num=1, train_loss_step=4.51e+6, train_loss_epoch=4.47e+6]Epoch 238/3000:   8%|▊         | 237/3000 [01:40<21:30,  2.14it/s, v_num=1, train_loss_step=4.51e+6, train_loss_epoch=4.47e+6]Epoch 238/3000:   8%|▊         | 238/3000 [01:40<22:15,  2.07it/s, v_num=1, train_loss_step=4.51e+6, train_loss_epoch=4.47e+6]Epoch 238/3000:   8%|▊         | 238/3000 [01:40<22:15,  2.07it/s, v_num=1, train_loss_step=4.22e+6, train_loss_epoch=4.46e+6]Epoch 239/3000:   8%|▊         | 238/3000 [01:40<22:15,  2.07it/s, v_num=1, train_loss_step=4.22e+6, train_loss_epoch=4.46e+6]Epoch 239/3000:   8%|▊         | 239/3000 [01:41<23:54,  1.92it/s, v_num=1, train_loss_step=4.22e+6, train_loss_epoch=4.46e+6]Epoch 239/3000:   8%|▊         | 239/3000 [01:41<23:54,  1.92it/s, v_num=1, train_loss_step=4.49e+6, train_loss_epoch=4.45e+6]Epoch 240/3000:   8%|▊         | 239/3000 [01:41<23:54,  1.92it/s, v_num=1, train_loss_step=4.49e+6, train_loss_epoch=4.45e+6]Epoch 240/3000:   8%|▊         | 240/3000 [01:41<22:30,  2.04it/s, v_num=1, train_loss_step=4.49e+6, train_loss_epoch=4.45e+6]Epoch 240/3000:   8%|▊         | 240/3000 [01:41<22:30,  2.04it/s, v_num=1, train_loss_step=4.37e+6, train_loss_epoch=4.43e+6]Epoch 241/3000:   8%|▊         | 240/3000 [01:41<22:30,  2.04it/s, v_num=1, train_loss_step=4.37e+6, train_loss_epoch=4.43e+6]Epoch 241/3000:   8%|▊         | 241/3000 [01:42<23:02,  2.00it/s, v_num=1, train_loss_step=4.37e+6, train_loss_epoch=4.43e+6]Epoch 241/3000:   8%|▊         | 241/3000 [01:42<23:02,  2.00it/s, v_num=1, train_loss_step=4.74e+6, train_loss_epoch=4.42e+6]Epoch 242/3000:   8%|▊         | 241/3000 [01:42<23:02,  2.00it/s, v_num=1, train_loss_step=4.74e+6, train_loss_epoch=4.42e+6]Epoch 242/3000:   8%|▊         | 242/3000 [01:42<23:59,  1.92it/s, v_num=1, train_loss_step=4.74e+6, train_loss_epoch=4.42e+6]Epoch 242/3000:   8%|▊         | 242/3000 [01:42<23:59,  1.92it/s, v_num=1, train_loss_step=4.46e+6, train_loss_epoch=4.41e+6]Epoch 243/3000:   8%|▊         | 242/3000 [01:42<23:59,  1.92it/s, v_num=1, train_loss_step=4.46e+6, train_loss_epoch=4.41e+6]Epoch 243/3000:   8%|▊         | 243/3000 [01:43<22:57,  2.00it/s, v_num=1, train_loss_step=4.46e+6, train_loss_epoch=4.41e+6]Epoch 243/3000:   8%|▊         | 243/3000 [01:43<22:57,  2.00it/s, v_num=1, train_loss_step=4.29e+6, train_loss_epoch=4.39e+6]Epoch 244/3000:   8%|▊         | 243/3000 [01:43<22:57,  2.00it/s, v_num=1, train_loss_step=4.29e+6, train_loss_epoch=4.39e+6]Epoch 244/3000:   8%|▊         | 244/3000 [01:43<22:40,  2.03it/s, v_num=1, train_loss_step=4.29e+6, train_loss_epoch=4.39e+6]Epoch 244/3000:   8%|▊         | 244/3000 [01:43<22:40,  2.03it/s, v_num=1, train_loss_step=4.49e+6, train_loss_epoch=4.38e+6]Epoch 245/3000:   8%|▊         | 244/3000 [01:43<22:40,  2.03it/s, v_num=1, train_loss_step=4.49e+6, train_loss_epoch=4.38e+6]Epoch 245/3000:   8%|▊         | 245/3000 [01:44<22:16,  2.06it/s, v_num=1, train_loss_step=4.49e+6, train_loss_epoch=4.38e+6]Epoch 245/3000:   8%|▊         | 245/3000 [01:44<22:16,  2.06it/s, v_num=1, train_loss_step=4.29e+6, train_loss_epoch=4.37e+6]Epoch 246/3000:   8%|▊         | 245/3000 [01:44<22:16,  2.06it/s, v_num=1, train_loss_step=4.29e+6, train_loss_epoch=4.37e+6]Epoch 246/3000:   8%|▊         | 246/3000 [01:44<20:38,  2.22it/s, v_num=1, train_loss_step=4.29e+6, train_loss_epoch=4.37e+6]Epoch 246/3000:   8%|▊         | 246/3000 [01:44<20:38,  2.22it/s, v_num=1, train_loss_step=4.34e+6, train_loss_epoch=4.35e+6]Epoch 247/3000:   8%|▊         | 246/3000 [01:44<20:38,  2.22it/s, v_num=1, train_loss_step=4.34e+6, train_loss_epoch=4.35e+6]Epoch 247/3000:   8%|▊         | 247/3000 [01:45<20:11,  2.27it/s, v_num=1, train_loss_step=4.34e+6, train_loss_epoch=4.35e+6]Epoch 247/3000:   8%|▊         | 247/3000 [01:45<20:11,  2.27it/s, v_num=1, train_loss_step=4.21e+6, train_loss_epoch=4.34e+6]Epoch 248/3000:   8%|▊         | 247/3000 [01:45<20:11,  2.27it/s, v_num=1, train_loss_step=4.21e+6, train_loss_epoch=4.34e+6]Epoch 248/3000:   8%|▊         | 248/3000 [01:45<21:25,  2.14it/s, v_num=1, train_loss_step=4.21e+6, train_loss_epoch=4.34e+6]Epoch 248/3000:   8%|▊         | 248/3000 [01:45<21:25,  2.14it/s, v_num=1, train_loss_step=4.33e+6, train_loss_epoch=4.33e+6]Epoch 249/3000:   8%|▊         | 248/3000 [01:45<21:25,  2.14it/s, v_num=1, train_loss_step=4.33e+6, train_loss_epoch=4.33e+6]Epoch 249/3000:   8%|▊         | 249/3000 [01:46<21:58,  2.09it/s, v_num=1, train_loss_step=4.33e+6, train_loss_epoch=4.33e+6]Epoch 249/3000:   8%|▊         | 249/3000 [01:46<21:58,  2.09it/s, v_num=1, train_loss_step=4.27e+6, train_loss_epoch=4.31e+6]Epoch 250/3000:   8%|▊         | 249/3000 [01:46<21:58,  2.09it/s, v_num=1, train_loss_step=4.27e+6, train_loss_epoch=4.31e+6]Epoch 250/3000:   8%|▊         | 250/3000 [01:46<22:07,  2.07it/s, v_num=1, train_loss_step=4.27e+6, train_loss_epoch=4.31e+6]Epoch 250/3000:   8%|▊         | 250/3000 [01:46<22:07,  2.07it/s, v_num=1, train_loss_step=4.38e+6, train_loss_epoch=4.3e+6] Epoch 251/3000:   8%|▊         | 250/3000 [01:46<22:07,  2.07it/s, v_num=1, train_loss_step=4.38e+6, train_loss_epoch=4.3e+6]Epoch 251/3000:   8%|▊         | 251/3000 [01:46<20:40,  2.22it/s, v_num=1, train_loss_step=4.38e+6, train_loss_epoch=4.3e+6]Epoch 251/3000:   8%|▊         | 251/3000 [01:46<20:40,  2.22it/s, v_num=1, train_loss_step=4.37e+6, train_loss_epoch=4.29e+6]Epoch 252/3000:   8%|▊         | 251/3000 [01:46<20:40,  2.22it/s, v_num=1, train_loss_step=4.37e+6, train_loss_epoch=4.29e+6]Epoch 252/3000:   8%|▊         | 252/3000 [01:47<20:04,  2.28it/s, v_num=1, train_loss_step=4.37e+6, train_loss_epoch=4.29e+6]Epoch 252/3000:   8%|▊         | 252/3000 [01:47<20:04,  2.28it/s, v_num=1, train_loss_step=4.41e+6, train_loss_epoch=4.28e+6]Epoch 253/3000:   8%|▊         | 252/3000 [01:47<20:04,  2.28it/s, v_num=1, train_loss_step=4.41e+6, train_loss_epoch=4.28e+6]Epoch 253/3000:   8%|▊         | 253/3000 [01:47<18:23,  2.49it/s, v_num=1, train_loss_step=4.41e+6, train_loss_epoch=4.28e+6]Epoch 253/3000:   8%|▊         | 253/3000 [01:47<18:23,  2.49it/s, v_num=1, train_loss_step=4.38e+6, train_loss_epoch=4.26e+6]Epoch 254/3000:   8%|▊         | 253/3000 [01:47<18:23,  2.49it/s, v_num=1, train_loss_step=4.38e+6, train_loss_epoch=4.26e+6]Epoch 254/3000:   8%|▊         | 254/3000 [01:47<16:51,  2.71it/s, v_num=1, train_loss_step=4.38e+6, train_loss_epoch=4.26e+6]Epoch 254/3000:   8%|▊         | 254/3000 [01:47<16:51,  2.71it/s, v_num=1, train_loss_step=4.3e+6, train_loss_epoch=4.25e+6] Epoch 255/3000:   8%|▊         | 254/3000 [01:47<16:51,  2.71it/s, v_num=1, train_loss_step=4.3e+6, train_loss_epoch=4.25e+6]Epoch 255/3000:   8%|▊         | 255/3000 [01:48<19:14,  2.38it/s, v_num=1, train_loss_step=4.3e+6, train_loss_epoch=4.25e+6]Epoch 255/3000:   8%|▊         | 255/3000 [01:48<19:14,  2.38it/s, v_num=1, train_loss_step=4.27e+6, train_loss_epoch=4.24e+6]Epoch 256/3000:   8%|▊         | 255/3000 [01:48<19:14,  2.38it/s, v_num=1, train_loss_step=4.27e+6, train_loss_epoch=4.24e+6]Epoch 256/3000:   9%|▊         | 256/3000 [01:49<20:37,  2.22it/s, v_num=1, train_loss_step=4.27e+6, train_loss_epoch=4.24e+6]Epoch 256/3000:   9%|▊         | 256/3000 [01:49<20:37,  2.22it/s, v_num=1, train_loss_step=4.25e+6, train_loss_epoch=4.23e+6]Epoch 257/3000:   9%|▊         | 256/3000 [01:49<20:37,  2.22it/s, v_num=1, train_loss_step=4.25e+6, train_loss_epoch=4.23e+6]Epoch 257/3000:   9%|▊         | 257/3000 [01:49<17:12,  2.66it/s, v_num=1, train_loss_step=4.25e+6, train_loss_epoch=4.23e+6]Epoch 257/3000:   9%|▊         | 257/3000 [01:49<17:12,  2.66it/s, v_num=1, train_loss_step=3.98e+6, train_loss_epoch=4.21e+6]Epoch 258/3000:   9%|▊         | 257/3000 [01:49<17:12,  2.66it/s, v_num=1, train_loss_step=3.98e+6, train_loss_epoch=4.21e+6]Epoch 258/3000:   9%|▊         | 258/3000 [01:49<17:11,  2.66it/s, v_num=1, train_loss_step=4.41e+6, train_loss_epoch=4.2e+6] Epoch 259/3000:   9%|▊         | 258/3000 [01:49<17:11,  2.66it/s, v_num=1, train_loss_step=4.41e+6, train_loss_epoch=4.2e+6]Epoch 259/3000:   9%|▊         | 259/3000 [01:49<11:21,  4.02it/s, v_num=1, train_loss_step=4.41e+6, train_loss_epoch=4.2e+6]Epoch 259/3000:   9%|▊         | 259/3000 [01:49<11:21,  4.02it/s, v_num=1, train_loss_step=4.08e+6, train_loss_epoch=4.19e+6]Epoch 260/3000:   9%|▊         | 259/3000 [01:49<11:21,  4.02it/s, v_num=1, train_loss_step=4.08e+6, train_loss_epoch=4.19e+6]Epoch 260/3000:   9%|▊         | 260/3000 [01:49<11:32,  3.96it/s, v_num=1, train_loss_step=4.08e+6, train_loss_epoch=4.19e+6]Epoch 260/3000:   9%|▊         | 260/3000 [01:49<11:32,  3.96it/s, v_num=1, train_loss_step=4.02e+6, train_loss_epoch=4.18e+6]Epoch 261/3000:   9%|▊         | 260/3000 [01:49<11:32,  3.96it/s, v_num=1, train_loss_step=4.02e+6, train_loss_epoch=4.18e+6]Epoch 261/3000:   9%|▊         | 261/3000 [01:49<11:59,  3.81it/s, v_num=1, train_loss_step=4.02e+6, train_loss_epoch=4.18e+6]Epoch 261/3000:   9%|▊         | 261/3000 [01:49<11:59,  3.81it/s, v_num=1, train_loss_step=4.17e+6, train_loss_epoch=4.16e+6]Epoch 262/3000:   9%|▊         | 261/3000 [01:49<11:59,  3.81it/s, v_num=1, train_loss_step=4.17e+6, train_loss_epoch=4.16e+6]Epoch 262/3000:   9%|▊         | 262/3000 [01:50<12:00,  3.80it/s, v_num=1, train_loss_step=4.17e+6, train_loss_epoch=4.16e+6]Epoch 262/3000:   9%|▊         | 262/3000 [01:50<12:00,  3.80it/s, v_num=1, train_loss_step=4.08e+6, train_loss_epoch=4.15e+6]Epoch 263/3000:   9%|▊         | 262/3000 [01:50<12:00,  3.80it/s, v_num=1, train_loss_step=4.08e+6, train_loss_epoch=4.15e+6]Epoch 263/3000:   9%|▉         | 263/3000 [01:50<16:00,  2.85it/s, v_num=1, train_loss_step=4.08e+6, train_loss_epoch=4.15e+6]Epoch 263/3000:   9%|▉         | 263/3000 [01:50<16:00,  2.85it/s, v_num=1, train_loss_step=4.29e+6, train_loss_epoch=4.14e+6]Epoch 264/3000:   9%|▉         | 263/3000 [01:50<16:00,  2.85it/s, v_num=1, train_loss_step=4.29e+6, train_loss_epoch=4.14e+6]Epoch 264/3000:   9%|▉         | 264/3000 [01:51<15:13,  3.00it/s, v_num=1, train_loss_step=4.29e+6, train_loss_epoch=4.14e+6]Epoch 264/3000:   9%|▉         | 264/3000 [01:51<15:13,  3.00it/s, v_num=1, train_loss_step=4.26e+6, train_loss_epoch=4.13e+6]Epoch 265/3000:   9%|▉         | 264/3000 [01:51<15:13,  3.00it/s, v_num=1, train_loss_step=4.26e+6, train_loss_epoch=4.13e+6]Epoch 265/3000:   9%|▉         | 265/3000 [01:51<16:16,  2.80it/s, v_num=1, train_loss_step=4.26e+6, train_loss_epoch=4.13e+6]Epoch 265/3000:   9%|▉         | 265/3000 [01:51<16:16,  2.80it/s, v_num=1, train_loss_step=3.89e+6, train_loss_epoch=4.12e+6]Epoch 266/3000:   9%|▉         | 265/3000 [01:51<16:16,  2.80it/s, v_num=1, train_loss_step=3.89e+6, train_loss_epoch=4.12e+6]Epoch 266/3000:   9%|▉         | 266/3000 [01:52<19:00,  2.40it/s, v_num=1, train_loss_step=3.89e+6, train_loss_epoch=4.12e+6]Epoch 266/3000:   9%|▉         | 266/3000 [01:52<19:00,  2.40it/s, v_num=1, train_loss_step=4.32e+6, train_loss_epoch=4.11e+6]Epoch 267/3000:   9%|▉         | 266/3000 [01:52<19:00,  2.40it/s, v_num=1, train_loss_step=4.32e+6, train_loss_epoch=4.11e+6]Epoch 267/3000:   9%|▉         | 267/3000 [01:52<20:39,  2.21it/s, v_num=1, train_loss_step=4.32e+6, train_loss_epoch=4.11e+6]Epoch 267/3000:   9%|▉         | 267/3000 [01:52<20:39,  2.21it/s, v_num=1, train_loss_step=4.38e+6, train_loss_epoch=4.09e+6]Epoch 268/3000:   9%|▉         | 267/3000 [01:52<20:39,  2.21it/s, v_num=1, train_loss_step=4.38e+6, train_loss_epoch=4.09e+6]Epoch 268/3000:   9%|▉         | 268/3000 [01:53<21:57,  2.07it/s, v_num=1, train_loss_step=4.38e+6, train_loss_epoch=4.09e+6]Epoch 268/3000:   9%|▉         | 268/3000 [01:53<21:57,  2.07it/s, v_num=1, train_loss_step=4.15e+6, train_loss_epoch=4.08e+6]Epoch 269/3000:   9%|▉         | 268/3000 [01:53<21:57,  2.07it/s, v_num=1, train_loss_step=4.15e+6, train_loss_epoch=4.08e+6]Epoch 269/3000:   9%|▉         | 269/3000 [01:53<21:14,  2.14it/s, v_num=1, train_loss_step=4.15e+6, train_loss_epoch=4.08e+6]Epoch 269/3000:   9%|▉         | 269/3000 [01:53<21:14,  2.14it/s, v_num=1, train_loss_step=4.23e+6, train_loss_epoch=4.07e+6]Epoch 270/3000:   9%|▉         | 269/3000 [01:53<21:14,  2.14it/s, v_num=1, train_loss_step=4.23e+6, train_loss_epoch=4.07e+6]Epoch 270/3000:   9%|▉         | 270/3000 [01:54<22:45,  2.00it/s, v_num=1, train_loss_step=4.23e+6, train_loss_epoch=4.07e+6]Epoch 270/3000:   9%|▉         | 270/3000 [01:54<22:45,  2.00it/s, v_num=1, train_loss_step=4.13e+6, train_loss_epoch=4.06e+6]Epoch 271/3000:   9%|▉         | 270/3000 [01:54<22:45,  2.00it/s, v_num=1, train_loss_step=4.13e+6, train_loss_epoch=4.06e+6]Epoch 271/3000:   9%|▉         | 271/3000 [01:54<22:14,  2.04it/s, v_num=1, train_loss_step=4.13e+6, train_loss_epoch=4.06e+6]Epoch 271/3000:   9%|▉         | 271/3000 [01:54<22:14,  2.04it/s, v_num=1, train_loss_step=4.13e+6, train_loss_epoch=4.05e+6]Epoch 272/3000:   9%|▉         | 271/3000 [01:54<22:14,  2.04it/s, v_num=1, train_loss_step=4.13e+6, train_loss_epoch=4.05e+6]Epoch 272/3000:   9%|▉         | 272/3000 [01:54<18:05,  2.51it/s, v_num=1, train_loss_step=4.13e+6, train_loss_epoch=4.05e+6]Epoch 272/3000:   9%|▉         | 272/3000 [01:54<18:05,  2.51it/s, v_num=1, train_loss_step=4.07e+6, train_loss_epoch=4.04e+6]Epoch 273/3000:   9%|▉         | 272/3000 [01:54<18:05,  2.51it/s, v_num=1, train_loss_step=4.07e+6, train_loss_epoch=4.04e+6]Epoch 273/3000:   9%|▉         | 273/3000 [01:55<18:47,  2.42it/s, v_num=1, train_loss_step=4.07e+6, train_loss_epoch=4.04e+6]Epoch 273/3000:   9%|▉         | 273/3000 [01:55<18:47,  2.42it/s, v_num=1, train_loss_step=4e+6, train_loss_epoch=4.02e+6]   Epoch 274/3000:   9%|▉         | 273/3000 [01:55<18:47,  2.42it/s, v_num=1, train_loss_step=4e+6, train_loss_epoch=4.02e+6]Epoch 274/3000:   9%|▉         | 274/3000 [01:55<20:28,  2.22it/s, v_num=1, train_loss_step=4e+6, train_loss_epoch=4.02e+6]Epoch 274/3000:   9%|▉         | 274/3000 [01:55<20:28,  2.22it/s, v_num=1, train_loss_step=3.85e+6, train_loss_epoch=4.01e+6]Epoch 275/3000:   9%|▉         | 274/3000 [01:55<20:28,  2.22it/s, v_num=1, train_loss_step=3.85e+6, train_loss_epoch=4.01e+6]Epoch 275/3000:   9%|▉         | 275/3000 [01:56<21:16,  2.14it/s, v_num=1, train_loss_step=3.85e+6, train_loss_epoch=4.01e+6]Epoch 275/3000:   9%|▉         | 275/3000 [01:56<21:16,  2.14it/s, v_num=1, train_loss_step=3.98e+6, train_loss_epoch=4e+6]   Epoch 276/3000:   9%|▉         | 275/3000 [01:56<21:16,  2.14it/s, v_num=1, train_loss_step=3.98e+6, train_loss_epoch=4e+6]Epoch 276/3000:   9%|▉         | 276/3000 [01:56<19:19,  2.35it/s, v_num=1, train_loss_step=3.98e+6, train_loss_epoch=4e+6]Epoch 276/3000:   9%|▉         | 276/3000 [01:56<19:19,  2.35it/s, v_num=1, train_loss_step=4.1e+6, train_loss_epoch=3.99e+6]Epoch 277/3000:   9%|▉         | 276/3000 [01:56<19:19,  2.35it/s, v_num=1, train_loss_step=4.1e+6, train_loss_epoch=3.99e+6]Epoch 277/3000:   9%|▉         | 277/3000 [01:57<18:14,  2.49it/s, v_num=1, train_loss_step=4.1e+6, train_loss_epoch=3.99e+6]Epoch 277/3000:   9%|▉         | 277/3000 [01:57<18:14,  2.49it/s, v_num=1, train_loss_step=4.15e+6, train_loss_epoch=3.98e+6]Epoch 278/3000:   9%|▉         | 277/3000 [01:57<18:14,  2.49it/s, v_num=1, train_loss_step=4.15e+6, train_loss_epoch=3.98e+6]Epoch 278/3000:   9%|▉         | 278/3000 [01:57<21:19,  2.13it/s, v_num=1, train_loss_step=4.15e+6, train_loss_epoch=3.98e+6]Epoch 278/3000:   9%|▉         | 278/3000 [01:57<21:19,  2.13it/s, v_num=1, train_loss_step=4.06e+6, train_loss_epoch=3.97e+6]Epoch 279/3000:   9%|▉         | 278/3000 [01:57<21:19,  2.13it/s, v_num=1, train_loss_step=4.06e+6, train_loss_epoch=3.97e+6]Epoch 279/3000:   9%|▉         | 279/3000 [01:58<21:48,  2.08it/s, v_num=1, train_loss_step=4.06e+6, train_loss_epoch=3.97e+6]Epoch 279/3000:   9%|▉         | 279/3000 [01:58<21:48,  2.08it/s, v_num=1, train_loss_step=3.96e+6, train_loss_epoch=3.96e+6]Epoch 280/3000:   9%|▉         | 279/3000 [01:58<21:48,  2.08it/s, v_num=1, train_loss_step=3.96e+6, train_loss_epoch=3.96e+6]Epoch 280/3000:   9%|▉         | 280/3000 [01:58<20:57,  2.16it/s, v_num=1, train_loss_step=3.96e+6, train_loss_epoch=3.96e+6]Epoch 280/3000:   9%|▉         | 280/3000 [01:58<20:57,  2.16it/s, v_num=1, train_loss_step=3.83e+6, train_loss_epoch=3.95e+6]Epoch 281/3000:   9%|▉         | 280/3000 [01:58<20:57,  2.16it/s, v_num=1, train_loss_step=3.83e+6, train_loss_epoch=3.95e+6]Epoch 281/3000:   9%|▉         | 281/3000 [01:58<20:32,  2.21it/s, v_num=1, train_loss_step=3.83e+6, train_loss_epoch=3.95e+6]Epoch 281/3000:   9%|▉         | 281/3000 [01:59<20:32,  2.21it/s, v_num=1, train_loss_step=4.02e+6, train_loss_epoch=3.94e+6]Epoch 282/3000:   9%|▉         | 281/3000 [01:59<20:32,  2.21it/s, v_num=1, train_loss_step=4.02e+6, train_loss_epoch=3.94e+6]Epoch 282/3000:   9%|▉         | 282/3000 [01:59<20:57,  2.16it/s, v_num=1, train_loss_step=4.02e+6, train_loss_epoch=3.94e+6]Epoch 282/3000:   9%|▉         | 282/3000 [01:59<20:57,  2.16it/s, v_num=1, train_loss_step=3.89e+6, train_loss_epoch=3.93e+6]Epoch 283/3000:   9%|▉         | 282/3000 [01:59<20:57,  2.16it/s, v_num=1, train_loss_step=3.89e+6, train_loss_epoch=3.93e+6]Epoch 283/3000:   9%|▉         | 283/3000 [01:59<21:38,  2.09it/s, v_num=1, train_loss_step=3.89e+6, train_loss_epoch=3.93e+6]Epoch 283/3000:   9%|▉         | 283/3000 [02:00<21:38,  2.09it/s, v_num=1, train_loss_step=3.94e+6, train_loss_epoch=3.91e+6]Epoch 284/3000:   9%|▉         | 283/3000 [02:00<21:38,  2.09it/s, v_num=1, train_loss_step=3.94e+6, train_loss_epoch=3.91e+6]Epoch 284/3000:   9%|▉         | 284/3000 [02:00<23:18,  1.94it/s, v_num=1, train_loss_step=3.94e+6, train_loss_epoch=3.91e+6]Epoch 284/3000:   9%|▉         | 284/3000 [02:00<23:18,  1.94it/s, v_num=1, train_loss_step=3.97e+6, train_loss_epoch=3.9e+6] Epoch 285/3000:   9%|▉         | 284/3000 [02:00<23:18,  1.94it/s, v_num=1, train_loss_step=3.97e+6, train_loss_epoch=3.9e+6]Epoch 285/3000:  10%|▉         | 285/3000 [02:00<20:11,  2.24it/s, v_num=1, train_loss_step=3.97e+6, train_loss_epoch=3.9e+6]Epoch 285/3000:  10%|▉         | 285/3000 [02:00<20:11,  2.24it/s, v_num=1, train_loss_step=3.95e+6, train_loss_epoch=3.89e+6]Epoch 286/3000:  10%|▉         | 285/3000 [02:00<20:11,  2.24it/s, v_num=1, train_loss_step=3.95e+6, train_loss_epoch=3.89e+6]Epoch 286/3000:  10%|▉         | 286/3000 [02:01<18:38,  2.43it/s, v_num=1, train_loss_step=3.95e+6, train_loss_epoch=3.89e+6]Epoch 286/3000:  10%|▉         | 286/3000 [02:01<18:38,  2.43it/s, v_num=1, train_loss_step=3.8e+6, train_loss_epoch=3.88e+6] Epoch 287/3000:  10%|▉         | 286/3000 [02:01<18:38,  2.43it/s, v_num=1, train_loss_step=3.8e+6, train_loss_epoch=3.88e+6]Epoch 287/3000:  10%|▉         | 287/3000 [02:01<17:06,  2.64it/s, v_num=1, train_loss_step=3.8e+6, train_loss_epoch=3.88e+6]Epoch 287/3000:  10%|▉         | 287/3000 [02:01<17:06,  2.64it/s, v_num=1, train_loss_step=3.92e+6, train_loss_epoch=3.87e+6]Epoch 288/3000:  10%|▉         | 287/3000 [02:01<17:06,  2.64it/s, v_num=1, train_loss_step=3.92e+6, train_loss_epoch=3.87e+6]Epoch 288/3000:  10%|▉         | 288/3000 [02:02<18:33,  2.44it/s, v_num=1, train_loss_step=3.92e+6, train_loss_epoch=3.87e+6]Epoch 288/3000:  10%|▉         | 288/3000 [02:02<18:33,  2.44it/s, v_num=1, train_loss_step=4.01e+6, train_loss_epoch=3.86e+6]Epoch 289/3000:  10%|▉         | 288/3000 [02:02<18:33,  2.44it/s, v_num=1, train_loss_step=4.01e+6, train_loss_epoch=3.86e+6]Epoch 289/3000:  10%|▉         | 289/3000 [02:02<18:40,  2.42it/s, v_num=1, train_loss_step=4.01e+6, train_loss_epoch=3.86e+6]Epoch 289/3000:  10%|▉         | 289/3000 [02:02<18:40,  2.42it/s, v_num=1, train_loss_step=3.99e+6, train_loss_epoch=3.85e+6]Epoch 290/3000:  10%|▉         | 289/3000 [02:02<18:40,  2.42it/s, v_num=1, train_loss_step=3.99e+6, train_loss_epoch=3.85e+6]Epoch 290/3000:  10%|▉         | 290/3000 [02:02<20:23,  2.21it/s, v_num=1, train_loss_step=3.99e+6, train_loss_epoch=3.85e+6]Epoch 290/3000:  10%|▉         | 290/3000 [02:02<20:23,  2.21it/s, v_num=1, train_loss_step=3.91e+6, train_loss_epoch=3.84e+6]Epoch 291/3000:  10%|▉         | 290/3000 [02:02<20:23,  2.21it/s, v_num=1, train_loss_step=3.91e+6, train_loss_epoch=3.84e+6]Epoch 291/3000:  10%|▉         | 291/3000 [02:03<22:19,  2.02it/s, v_num=1, train_loss_step=3.91e+6, train_loss_epoch=3.84e+6]Epoch 291/3000:  10%|▉         | 291/3000 [02:03<22:19,  2.02it/s, v_num=1, train_loss_step=3.64e+6, train_loss_epoch=3.83e+6]Epoch 292/3000:  10%|▉         | 291/3000 [02:03<22:19,  2.02it/s, v_num=1, train_loss_step=3.64e+6, train_loss_epoch=3.83e+6]Epoch 292/3000:  10%|▉         | 292/3000 [02:04<22:22,  2.02it/s, v_num=1, train_loss_step=3.64e+6, train_loss_epoch=3.83e+6]Epoch 292/3000:  10%|▉         | 292/3000 [02:04<22:22,  2.02it/s, v_num=1, train_loss_step=3.69e+6, train_loss_epoch=3.82e+6]Epoch 293/3000:  10%|▉         | 292/3000 [02:04<22:22,  2.02it/s, v_num=1, train_loss_step=3.69e+6, train_loss_epoch=3.82e+6]Epoch 293/3000:  10%|▉         | 293/3000 [02:04<23:20,  1.93it/s, v_num=1, train_loss_step=3.69e+6, train_loss_epoch=3.82e+6]Epoch 293/3000:  10%|▉         | 293/3000 [02:04<23:20,  1.93it/s, v_num=1, train_loss_step=3.83e+6, train_loss_epoch=3.81e+6]Epoch 294/3000:  10%|▉         | 293/3000 [02:04<23:20,  1.93it/s, v_num=1, train_loss_step=3.83e+6, train_loss_epoch=3.81e+6]Epoch 294/3000:  10%|▉         | 294/3000 [02:05<23:04,  1.95it/s, v_num=1, train_loss_step=3.83e+6, train_loss_epoch=3.81e+6]Epoch 294/3000:  10%|▉         | 294/3000 [02:05<23:04,  1.95it/s, v_num=1, train_loss_step=4.16e+6, train_loss_epoch=3.8e+6] Epoch 295/3000:  10%|▉         | 294/3000 [02:05<23:04,  1.95it/s, v_num=1, train_loss_step=4.16e+6, train_loss_epoch=3.8e+6]Epoch 295/3000:  10%|▉         | 295/3000 [02:05<20:55,  2.15it/s, v_num=1, train_loss_step=4.16e+6, train_loss_epoch=3.8e+6]Epoch 295/3000:  10%|▉         | 295/3000 [02:05<20:55,  2.15it/s, v_num=1, train_loss_step=3.86e+6, train_loss_epoch=3.79e+6]Epoch 296/3000:  10%|▉         | 295/3000 [02:05<20:55,  2.15it/s, v_num=1, train_loss_step=3.86e+6, train_loss_epoch=3.79e+6]Epoch 296/3000:  10%|▉         | 296/3000 [02:05<19:33,  2.30it/s, v_num=1, train_loss_step=3.86e+6, train_loss_epoch=3.79e+6]Epoch 296/3000:  10%|▉         | 296/3000 [02:05<19:33,  2.30it/s, v_num=1, train_loss_step=3.76e+6, train_loss_epoch=3.78e+6]Epoch 297/3000:  10%|▉         | 296/3000 [02:05<19:33,  2.30it/s, v_num=1, train_loss_step=3.76e+6, train_loss_epoch=3.78e+6]Epoch 297/3000:  10%|▉         | 297/3000 [02:06<19:18,  2.33it/s, v_num=1, train_loss_step=3.76e+6, train_loss_epoch=3.78e+6]Epoch 297/3000:  10%|▉         | 297/3000 [02:06<19:18,  2.33it/s, v_num=1, train_loss_step=3.76e+6, train_loss_epoch=3.77e+6]Epoch 298/3000:  10%|▉         | 297/3000 [02:06<19:18,  2.33it/s, v_num=1, train_loss_step=3.76e+6, train_loss_epoch=3.77e+6]Epoch 298/3000:  10%|▉         | 298/3000 [02:06<21:28,  2.10it/s, v_num=1, train_loss_step=3.76e+6, train_loss_epoch=3.77e+6]Epoch 298/3000:  10%|▉         | 298/3000 [02:06<21:28,  2.10it/s, v_num=1, train_loss_step=3.79e+6, train_loss_epoch=3.76e+6]Epoch 299/3000:  10%|▉         | 298/3000 [02:06<21:28,  2.10it/s, v_num=1, train_loss_step=3.79e+6, train_loss_epoch=3.76e+6]Epoch 299/3000:  10%|▉         | 299/3000 [02:07<22:04,  2.04it/s, v_num=1, train_loss_step=3.79e+6, train_loss_epoch=3.76e+6]Epoch 299/3000:  10%|▉         | 299/3000 [02:07<22:04,  2.04it/s, v_num=1, train_loss_step=3.75e+6, train_loss_epoch=3.75e+6]Epoch 300/3000:  10%|▉         | 299/3000 [02:07<22:04,  2.04it/s, v_num=1, train_loss_step=3.75e+6, train_loss_epoch=3.75e+6]Epoch 300/3000:  10%|█         | 300/3000 [02:07<22:19,  2.02it/s, v_num=1, train_loss_step=3.75e+6, train_loss_epoch=3.75e+6]Epoch 300/3000:  10%|█         | 300/3000 [02:07<22:19,  2.02it/s, v_num=1, train_loss_step=3.8e+6, train_loss_epoch=3.74e+6] Epoch 301/3000:  10%|█         | 300/3000 [02:07<22:19,  2.02it/s, v_num=1, train_loss_step=3.8e+6, train_loss_epoch=3.74e+6]Epoch 301/3000:  10%|█         | 301/3000 [02:08<21:52,  2.06it/s, v_num=1, train_loss_step=3.8e+6, train_loss_epoch=3.74e+6]Epoch 301/3000:  10%|█         | 301/3000 [02:08<21:52,  2.06it/s, v_num=1, train_loss_step=3.58e+6, train_loss_epoch=3.73e+6]Epoch 302/3000:  10%|█         | 301/3000 [02:08<21:52,  2.06it/s, v_num=1, train_loss_step=3.58e+6, train_loss_epoch=3.73e+6]Epoch 302/3000:  10%|█         | 302/3000 [02:08<21:20,  2.11it/s, v_num=1, train_loss_step=3.58e+6, train_loss_epoch=3.73e+6]Epoch 302/3000:  10%|█         | 302/3000 [02:08<21:20,  2.11it/s, v_num=1, train_loss_step=3.66e+6, train_loss_epoch=3.72e+6]Epoch 303/3000:  10%|█         | 302/3000 [02:08<21:20,  2.11it/s, v_num=1, train_loss_step=3.66e+6, train_loss_epoch=3.72e+6]Epoch 303/3000:  10%|█         | 303/3000 [02:09<22:34,  1.99it/s, v_num=1, train_loss_step=3.66e+6, train_loss_epoch=3.72e+6]Epoch 303/3000:  10%|█         | 303/3000 [02:09<22:34,  1.99it/s, v_num=1, train_loss_step=3.56e+6, train_loss_epoch=3.71e+6]Epoch 304/3000:  10%|█         | 303/3000 [02:09<22:34,  1.99it/s, v_num=1, train_loss_step=3.56e+6, train_loss_epoch=3.71e+6]Epoch 304/3000:  10%|█         | 304/3000 [02:09<19:45,  2.27it/s, v_num=1, train_loss_step=3.56e+6, train_loss_epoch=3.71e+6]Epoch 304/3000:  10%|█         | 304/3000 [02:09<19:45,  2.27it/s, v_num=1, train_loss_step=3.5e+6, train_loss_epoch=3.7e+6]  Epoch 305/3000:  10%|█         | 304/3000 [02:09<19:45,  2.27it/s, v_num=1, train_loss_step=3.5e+6, train_loss_epoch=3.7e+6]Epoch 305/3000:  10%|█         | 305/3000 [02:10<20:03,  2.24it/s, v_num=1, train_loss_step=3.5e+6, train_loss_epoch=3.7e+6]Epoch 305/3000:  10%|█         | 305/3000 [02:10<20:03,  2.24it/s, v_num=1, train_loss_step=3.76e+6, train_loss_epoch=3.69e+6]Epoch 306/3000:  10%|█         | 305/3000 [02:10<20:03,  2.24it/s, v_num=1, train_loss_step=3.76e+6, train_loss_epoch=3.69e+6]Epoch 306/3000:  10%|█         | 306/3000 [02:10<18:17,  2.46it/s, v_num=1, train_loss_step=3.76e+6, train_loss_epoch=3.69e+6]Epoch 306/3000:  10%|█         | 306/3000 [02:10<18:17,  2.46it/s, v_num=1, train_loss_step=3.73e+6, train_loss_epoch=3.68e+6]Epoch 307/3000:  10%|█         | 306/3000 [02:10<18:17,  2.46it/s, v_num=1, train_loss_step=3.73e+6, train_loss_epoch=3.68e+6]Epoch 307/3000:  10%|█         | 307/3000 [02:11<20:33,  2.18it/s, v_num=1, train_loss_step=3.73e+6, train_loss_epoch=3.68e+6]Epoch 307/3000:  10%|█         | 307/3000 [02:11<20:33,  2.18it/s, v_num=1, train_loss_step=3.43e+6, train_loss_epoch=3.67e+6]Epoch 308/3000:  10%|█         | 307/3000 [02:11<20:33,  2.18it/s, v_num=1, train_loss_step=3.43e+6, train_loss_epoch=3.67e+6]Epoch 308/3000:  10%|█         | 308/3000 [02:11<19:08,  2.34it/s, v_num=1, train_loss_step=3.43e+6, train_loss_epoch=3.67e+6]Epoch 308/3000:  10%|█         | 308/3000 [02:11<19:08,  2.34it/s, v_num=1, train_loss_step=3.7e+6, train_loss_epoch=3.66e+6] Epoch 309/3000:  10%|█         | 308/3000 [02:11<19:08,  2.34it/s, v_num=1, train_loss_step=3.7e+6, train_loss_epoch=3.66e+6]Epoch 309/3000:  10%|█         | 309/3000 [02:11<18:01,  2.49it/s, v_num=1, train_loss_step=3.7e+6, train_loss_epoch=3.66e+6]Epoch 309/3000:  10%|█         | 309/3000 [02:11<18:01,  2.49it/s, v_num=1, train_loss_step=3.61e+6, train_loss_epoch=3.66e+6]Epoch 310/3000:  10%|█         | 309/3000 [02:11<18:01,  2.49it/s, v_num=1, train_loss_step=3.61e+6, train_loss_epoch=3.66e+6]Epoch 310/3000:  10%|█         | 310/3000 [02:12<16:58,  2.64it/s, v_num=1, train_loss_step=3.61e+6, train_loss_epoch=3.66e+6]Epoch 310/3000:  10%|█         | 310/3000 [02:12<16:58,  2.64it/s, v_num=1, train_loss_step=3.73e+6, train_loss_epoch=3.65e+6]Epoch 311/3000:  10%|█         | 310/3000 [02:12<16:58,  2.64it/s, v_num=1, train_loss_step=3.73e+6, train_loss_epoch=3.65e+6]Epoch 311/3000:  10%|█         | 311/3000 [02:12<14:42,  3.05it/s, v_num=1, train_loss_step=3.73e+6, train_loss_epoch=3.65e+6]Epoch 311/3000:  10%|█         | 311/3000 [02:12<14:42,  3.05it/s, v_num=1, train_loss_step=3.72e+6, train_loss_epoch=3.64e+6]Epoch 312/3000:  10%|█         | 311/3000 [02:12<14:42,  3.05it/s, v_num=1, train_loss_step=3.72e+6, train_loss_epoch=3.64e+6]Epoch 312/3000:  10%|█         | 312/3000 [02:12<15:28,  2.89it/s, v_num=1, train_loss_step=3.72e+6, train_loss_epoch=3.64e+6]Epoch 312/3000:  10%|█         | 312/3000 [02:12<15:28,  2.89it/s, v_num=1, train_loss_step=3.64e+6, train_loss_epoch=3.63e+6]Epoch 313/3000:  10%|█         | 312/3000 [02:12<15:28,  2.89it/s, v_num=1, train_loss_step=3.64e+6, train_loss_epoch=3.63e+6]Epoch 313/3000:  10%|█         | 313/3000 [02:13<17:46,  2.52it/s, v_num=1, train_loss_step=3.64e+6, train_loss_epoch=3.63e+6]Epoch 313/3000:  10%|█         | 313/3000 [02:13<17:46,  2.52it/s, v_num=1, train_loss_step=3.67e+6, train_loss_epoch=3.62e+6]Epoch 314/3000:  10%|█         | 313/3000 [02:13<17:46,  2.52it/s, v_num=1, train_loss_step=3.67e+6, train_loss_epoch=3.62e+6]Epoch 314/3000:  10%|█         | 314/3000 [02:13<16:26,  2.72it/s, v_num=1, train_loss_step=3.67e+6, train_loss_epoch=3.62e+6]Epoch 314/3000:  10%|█         | 314/3000 [02:13<16:26,  2.72it/s, v_num=1, train_loss_step=3.67e+6, train_loss_epoch=3.61e+6]Epoch 315/3000:  10%|█         | 314/3000 [02:13<16:26,  2.72it/s, v_num=1, train_loss_step=3.67e+6, train_loss_epoch=3.61e+6]Epoch 315/3000:  10%|█         | 315/3000 [02:13<17:38,  2.54it/s, v_num=1, train_loss_step=3.67e+6, train_loss_epoch=3.61e+6]Epoch 315/3000:  10%|█         | 315/3000 [02:13<17:38,  2.54it/s, v_num=1, train_loss_step=3.46e+6, train_loss_epoch=3.6e+6] Epoch 316/3000:  10%|█         | 315/3000 [02:13<17:38,  2.54it/s, v_num=1, train_loss_step=3.46e+6, train_loss_epoch=3.6e+6]Epoch 316/3000:  11%|█         | 316/3000 [02:14<17:14,  2.59it/s, v_num=1, train_loss_step=3.46e+6, train_loss_epoch=3.6e+6]Epoch 316/3000:  11%|█         | 316/3000 [02:14<17:14,  2.59it/s, v_num=1, train_loss_step=3.52e+6, train_loss_epoch=3.59e+6]Epoch 317/3000:  11%|█         | 316/3000 [02:14<17:14,  2.59it/s, v_num=1, train_loss_step=3.52e+6, train_loss_epoch=3.59e+6]Epoch 317/3000:  11%|█         | 317/3000 [02:14<16:12,  2.76it/s, v_num=1, train_loss_step=3.52e+6, train_loss_epoch=3.59e+6]Epoch 317/3000:  11%|█         | 317/3000 [02:14<16:12,  2.76it/s, v_num=1, train_loss_step=3.43e+6, train_loss_epoch=3.58e+6]Epoch 318/3000:  11%|█         | 317/3000 [02:14<16:12,  2.76it/s, v_num=1, train_loss_step=3.43e+6, train_loss_epoch=3.58e+6]Epoch 318/3000:  11%|█         | 318/3000 [02:15<18:08,  2.46it/s, v_num=1, train_loss_step=3.43e+6, train_loss_epoch=3.58e+6]Epoch 318/3000:  11%|█         | 318/3000 [02:15<18:08,  2.46it/s, v_num=1, train_loss_step=3.65e+6, train_loss_epoch=3.57e+6]Epoch 319/3000:  11%|█         | 318/3000 [02:15<18:08,  2.46it/s, v_num=1, train_loss_step=3.65e+6, train_loss_epoch=3.57e+6]Epoch 319/3000:  11%|█         | 319/3000 [02:15<19:16,  2.32it/s, v_num=1, train_loss_step=3.65e+6, train_loss_epoch=3.57e+6]Epoch 319/3000:  11%|█         | 319/3000 [02:15<19:16,  2.32it/s, v_num=1, train_loss_step=3.45e+6, train_loss_epoch=3.56e+6]Epoch 320/3000:  11%|█         | 319/3000 [02:15<19:16,  2.32it/s, v_num=1, train_loss_step=3.45e+6, train_loss_epoch=3.56e+6]Epoch 320/3000:  11%|█         | 320/3000 [02:16<19:40,  2.27it/s, v_num=1, train_loss_step=3.45e+6, train_loss_epoch=3.56e+6]Epoch 320/3000:  11%|█         | 320/3000 [02:16<19:40,  2.27it/s, v_num=1, train_loss_step=3.26e+6, train_loss_epoch=3.56e+6]Epoch 321/3000:  11%|█         | 320/3000 [02:16<19:40,  2.27it/s, v_num=1, train_loss_step=3.26e+6, train_loss_epoch=3.56e+6]Epoch 321/3000:  11%|█         | 321/3000 [02:16<19:50,  2.25it/s, v_num=1, train_loss_step=3.26e+6, train_loss_epoch=3.56e+6]Epoch 321/3000:  11%|█         | 321/3000 [02:16<19:50,  2.25it/s, v_num=1, train_loss_step=3.4e+6, train_loss_epoch=3.55e+6] Epoch 322/3000:  11%|█         | 321/3000 [02:16<19:50,  2.25it/s, v_num=1, train_loss_step=3.4e+6, train_loss_epoch=3.55e+6]Epoch 322/3000:  11%|█         | 322/3000 [02:16<19:22,  2.30it/s, v_num=1, train_loss_step=3.4e+6, train_loss_epoch=3.55e+6]Epoch 322/3000:  11%|█         | 322/3000 [02:16<19:22,  2.30it/s, v_num=1, train_loss_step=3.5e+6, train_loss_epoch=3.54e+6]Epoch 323/3000:  11%|█         | 322/3000 [02:16<19:22,  2.30it/s, v_num=1, train_loss_step=3.5e+6, train_loss_epoch=3.54e+6]Epoch 323/3000:  11%|█         | 323/3000 [02:17<20:44,  2.15it/s, v_num=1, train_loss_step=3.5e+6, train_loss_epoch=3.54e+6]Epoch 323/3000:  11%|█         | 323/3000 [02:17<20:44,  2.15it/s, v_num=1, train_loss_step=3.79e+6, train_loss_epoch=3.53e+6]Epoch 324/3000:  11%|█         | 323/3000 [02:17<20:44,  2.15it/s, v_num=1, train_loss_step=3.79e+6, train_loss_epoch=3.53e+6]Epoch 324/3000:  11%|█         | 324/3000 [02:17<21:01,  2.12it/s, v_num=1, train_loss_step=3.79e+6, train_loss_epoch=3.53e+6]Epoch 324/3000:  11%|█         | 324/3000 [02:17<21:01,  2.12it/s, v_num=1, train_loss_step=3.44e+6, train_loss_epoch=3.52e+6]Epoch 325/3000:  11%|█         | 324/3000 [02:17<21:01,  2.12it/s, v_num=1, train_loss_step=3.44e+6, train_loss_epoch=3.52e+6]Epoch 325/3000:  11%|█         | 325/3000 [02:18<21:26,  2.08it/s, v_num=1, train_loss_step=3.44e+6, train_loss_epoch=3.52e+6]Epoch 325/3000:  11%|█         | 325/3000 [02:18<21:26,  2.08it/s, v_num=1, train_loss_step=3.48e+6, train_loss_epoch=3.51e+6]Epoch 326/3000:  11%|█         | 325/3000 [02:18<21:26,  2.08it/s, v_num=1, train_loss_step=3.48e+6, train_loss_epoch=3.51e+6]Epoch 326/3000:  11%|█         | 326/3000 [02:18<19:45,  2.25it/s, v_num=1, train_loss_step=3.48e+6, train_loss_epoch=3.51e+6]Epoch 326/3000:  11%|█         | 326/3000 [02:18<19:45,  2.25it/s, v_num=1, train_loss_step=3.68e+6, train_loss_epoch=3.5e+6] Epoch 327/3000:  11%|█         | 326/3000 [02:18<19:45,  2.25it/s, v_num=1, train_loss_step=3.68e+6, train_loss_epoch=3.5e+6]Epoch 327/3000:  11%|█         | 327/3000 [02:19<21:00,  2.12it/s, v_num=1, train_loss_step=3.68e+6, train_loss_epoch=3.5e+6]Epoch 327/3000:  11%|█         | 327/3000 [02:19<21:00,  2.12it/s, v_num=1, train_loss_step=3.45e+6, train_loss_epoch=3.49e+6]Epoch 328/3000:  11%|█         | 327/3000 [02:19<21:00,  2.12it/s, v_num=1, train_loss_step=3.45e+6, train_loss_epoch=3.49e+6]Epoch 328/3000:  11%|█         | 328/3000 [02:19<20:54,  2.13it/s, v_num=1, train_loss_step=3.45e+6, train_loss_epoch=3.49e+6]Epoch 328/3000:  11%|█         | 328/3000 [02:19<20:54,  2.13it/s, v_num=1, train_loss_step=3.53e+6, train_loss_epoch=3.49e+6]Epoch 329/3000:  11%|█         | 328/3000 [02:19<20:54,  2.13it/s, v_num=1, train_loss_step=3.53e+6, train_loss_epoch=3.49e+6]Epoch 329/3000:  11%|█         | 329/3000 [02:20<21:20,  2.09it/s, v_num=1, train_loss_step=3.53e+6, train_loss_epoch=3.49e+6]Epoch 329/3000:  11%|█         | 329/3000 [02:20<21:20,  2.09it/s, v_num=1, train_loss_step=3.48e+6, train_loss_epoch=3.48e+6]Epoch 330/3000:  11%|█         | 329/3000 [02:20<21:20,  2.09it/s, v_num=1, train_loss_step=3.48e+6, train_loss_epoch=3.48e+6]Epoch 330/3000:  11%|█         | 330/3000 [02:20<22:22,  1.99it/s, v_num=1, train_loss_step=3.48e+6, train_loss_epoch=3.48e+6]Epoch 330/3000:  11%|█         | 330/3000 [02:20<22:22,  1.99it/s, v_num=1, train_loss_step=3.5e+6, train_loss_epoch=3.47e+6] Epoch 331/3000:  11%|█         | 330/3000 [02:20<22:22,  1.99it/s, v_num=1, train_loss_step=3.5e+6, train_loss_epoch=3.47e+6]Epoch 331/3000:  11%|█         | 331/3000 [02:21<22:15,  2.00it/s, v_num=1, train_loss_step=3.5e+6, train_loss_epoch=3.47e+6]Epoch 331/3000:  11%|█         | 331/3000 [02:21<22:15,  2.00it/s, v_num=1, train_loss_step=3.54e+6, train_loss_epoch=3.46e+6]Epoch 332/3000:  11%|█         | 331/3000 [02:21<22:15,  2.00it/s, v_num=1, train_loss_step=3.54e+6, train_loss_epoch=3.46e+6]Epoch 332/3000:  11%|█         | 332/3000 [02:21<20:34,  2.16it/s, v_num=1, train_loss_step=3.54e+6, train_loss_epoch=3.46e+6]Epoch 332/3000:  11%|█         | 332/3000 [02:21<20:34,  2.16it/s, v_num=1, train_loss_step=3.59e+6, train_loss_epoch=3.45e+6]Epoch 333/3000:  11%|█         | 332/3000 [02:21<20:34,  2.16it/s, v_num=1, train_loss_step=3.59e+6, train_loss_epoch=3.45e+6]Epoch 333/3000:  11%|█         | 333/3000 [02:21<17:46,  2.50it/s, v_num=1, train_loss_step=3.59e+6, train_loss_epoch=3.45e+6]Epoch 333/3000:  11%|█         | 333/3000 [02:21<17:46,  2.50it/s, v_num=1, train_loss_step=3.33e+6, train_loss_epoch=3.44e+6]Epoch 334/3000:  11%|█         | 333/3000 [02:21<17:46,  2.50it/s, v_num=1, train_loss_step=3.33e+6, train_loss_epoch=3.44e+6]Epoch 334/3000:  11%|█         | 334/3000 [02:22<20:28,  2.17it/s, v_num=1, train_loss_step=3.33e+6, train_loss_epoch=3.44e+6]Epoch 334/3000:  11%|█         | 334/3000 [02:22<20:28,  2.17it/s, v_num=1, train_loss_step=3.32e+6, train_loss_epoch=3.44e+6]Epoch 335/3000:  11%|█         | 334/3000 [02:22<20:28,  2.17it/s, v_num=1, train_loss_step=3.32e+6, train_loss_epoch=3.44e+6]Epoch 335/3000:  11%|█         | 335/3000 [02:22<16:30,  2.69it/s, v_num=1, train_loss_step=3.32e+6, train_loss_epoch=3.44e+6]Epoch 335/3000:  11%|█         | 335/3000 [02:22<16:30,  2.69it/s, v_num=1, train_loss_step=3.3e+6, train_loss_epoch=3.43e+6] Epoch 336/3000:  11%|█         | 335/3000 [02:22<16:30,  2.69it/s, v_num=1, train_loss_step=3.3e+6, train_loss_epoch=3.43e+6]Epoch 336/3000:  11%|█         | 336/3000 [02:22<14:28,  3.07it/s, v_num=1, train_loss_step=3.3e+6, train_loss_epoch=3.43e+6]Epoch 336/3000:  11%|█         | 336/3000 [02:22<14:28,  3.07it/s, v_num=1, train_loss_step=3.37e+6, train_loss_epoch=3.42e+6]Epoch 337/3000:  11%|█         | 336/3000 [02:22<14:28,  3.07it/s, v_num=1, train_loss_step=3.37e+6, train_loss_epoch=3.42e+6]Epoch 337/3000:  11%|█         | 337/3000 [02:23<12:30,  3.55it/s, v_num=1, train_loss_step=3.37e+6, train_loss_epoch=3.42e+6]Epoch 337/3000:  11%|█         | 337/3000 [02:23<12:30,  3.55it/s, v_num=1, train_loss_step=3.47e+6, train_loss_epoch=3.41e+6]Epoch 338/3000:  11%|█         | 337/3000 [02:23<12:30,  3.55it/s, v_num=1, train_loss_step=3.47e+6, train_loss_epoch=3.41e+6]Epoch 338/3000:  11%|█▏        | 338/3000 [02:23<12:21,  3.59it/s, v_num=1, train_loss_step=3.47e+6, train_loss_epoch=3.41e+6]Epoch 338/3000:  11%|█▏        | 338/3000 [02:23<12:21,  3.59it/s, v_num=1, train_loss_step=3.27e+6, train_loss_epoch=3.4e+6] Epoch 339/3000:  11%|█▏        | 338/3000 [02:23<12:21,  3.59it/s, v_num=1, train_loss_step=3.27e+6, train_loss_epoch=3.4e+6]Epoch 339/3000:  11%|█▏        | 339/3000 [02:23<13:39,  3.25it/s, v_num=1, train_loss_step=3.27e+6, train_loss_epoch=3.4e+6]Epoch 339/3000:  11%|█▏        | 339/3000 [02:23<13:39,  3.25it/s, v_num=1, train_loss_step=3.49e+6, train_loss_epoch=3.39e+6]Epoch 340/3000:  11%|█▏        | 339/3000 [02:23<13:39,  3.25it/s, v_num=1, train_loss_step=3.49e+6, train_loss_epoch=3.39e+6]Epoch 340/3000:  11%|█▏        | 340/3000 [02:24<14:41,  3.02it/s, v_num=1, train_loss_step=3.49e+6, train_loss_epoch=3.39e+6]Epoch 340/3000:  11%|█▏        | 340/3000 [02:24<14:41,  3.02it/s, v_num=1, train_loss_step=3.52e+6, train_loss_epoch=3.39e+6]Epoch 341/3000:  11%|█▏        | 340/3000 [02:24<14:41,  3.02it/s, v_num=1, train_loss_step=3.52e+6, train_loss_epoch=3.39e+6]Epoch 341/3000:  11%|█▏        | 341/3000 [02:24<15:13,  2.91it/s, v_num=1, train_loss_step=3.52e+6, train_loss_epoch=3.39e+6]Epoch 341/3000:  11%|█▏        | 341/3000 [02:24<15:13,  2.91it/s, v_num=1, train_loss_step=3.28e+6, train_loss_epoch=3.38e+6]Epoch 342/3000:  11%|█▏        | 341/3000 [02:24<15:13,  2.91it/s, v_num=1, train_loss_step=3.28e+6, train_loss_epoch=3.38e+6]Epoch 342/3000:  11%|█▏        | 342/3000 [02:24<16:45,  2.64it/s, v_num=1, train_loss_step=3.28e+6, train_loss_epoch=3.38e+6]Epoch 342/3000:  11%|█▏        | 342/3000 [02:24<16:45,  2.64it/s, v_num=1, train_loss_step=3.39e+6, train_loss_epoch=3.37e+6]Epoch 343/3000:  11%|█▏        | 342/3000 [02:24<16:45,  2.64it/s, v_num=1, train_loss_step=3.39e+6, train_loss_epoch=3.37e+6]Epoch 343/3000:  11%|█▏        | 343/3000 [02:25<17:59,  2.46it/s, v_num=1, train_loss_step=3.39e+6, train_loss_epoch=3.37e+6]Epoch 343/3000:  11%|█▏        | 343/3000 [02:25<17:59,  2.46it/s, v_num=1, train_loss_step=3.41e+6, train_loss_epoch=3.36e+6]Epoch 344/3000:  11%|█▏        | 343/3000 [02:25<17:59,  2.46it/s, v_num=1, train_loss_step=3.41e+6, train_loss_epoch=3.36e+6]Epoch 344/3000:  11%|█▏        | 344/3000 [02:25<19:23,  2.28it/s, v_num=1, train_loss_step=3.41e+6, train_loss_epoch=3.36e+6]Epoch 344/3000:  11%|█▏        | 344/3000 [02:25<19:23,  2.28it/s, v_num=1, train_loss_step=3.39e+6, train_loss_epoch=3.35e+6]Epoch 345/3000:  11%|█▏        | 344/3000 [02:25<19:23,  2.28it/s, v_num=1, train_loss_step=3.39e+6, train_loss_epoch=3.35e+6]Epoch 345/3000:  12%|█▏        | 345/3000 [02:26<20:14,  2.19it/s, v_num=1, train_loss_step=3.39e+6, train_loss_epoch=3.35e+6]Epoch 345/3000:  12%|█▏        | 345/3000 [02:26<20:14,  2.19it/s, v_num=1, train_loss_step=3.27e+6, train_loss_epoch=3.35e+6]Epoch 346/3000:  12%|█▏        | 345/3000 [02:26<20:14,  2.19it/s, v_num=1, train_loss_step=3.27e+6, train_loss_epoch=3.35e+6]Epoch 346/3000:  12%|█▏        | 346/3000 [02:26<20:21,  2.17it/s, v_num=1, train_loss_step=3.27e+6, train_loss_epoch=3.35e+6]Epoch 346/3000:  12%|█▏        | 346/3000 [02:26<20:21,  2.17it/s, v_num=1, train_loss_step=3.38e+6, train_loss_epoch=3.34e+6]Epoch 347/3000:  12%|█▏        | 346/3000 [02:26<20:21,  2.17it/s, v_num=1, train_loss_step=3.38e+6, train_loss_epoch=3.34e+6]Epoch 347/3000:  12%|█▏        | 347/3000 [02:27<18:51,  2.34it/s, v_num=1, train_loss_step=3.38e+6, train_loss_epoch=3.34e+6]Epoch 347/3000:  12%|█▏        | 347/3000 [02:27<18:51,  2.34it/s, v_num=1, train_loss_step=3.26e+6, train_loss_epoch=3.33e+6]Epoch 348/3000:  12%|█▏        | 347/3000 [02:27<18:51,  2.34it/s, v_num=1, train_loss_step=3.26e+6, train_loss_epoch=3.33e+6]Epoch 348/3000:  12%|█▏        | 348/3000 [02:27<15:49,  2.79it/s, v_num=1, train_loss_step=3.26e+6, train_loss_epoch=3.33e+6]Epoch 348/3000:  12%|█▏        | 348/3000 [02:27<15:49,  2.79it/s, v_num=1, train_loss_step=3.33e+6, train_loss_epoch=3.32e+6]Epoch 349/3000:  12%|█▏        | 348/3000 [02:27<15:49,  2.79it/s, v_num=1, train_loss_step=3.33e+6, train_loss_epoch=3.32e+6]Epoch 349/3000:  12%|█▏        | 349/3000 [02:27<13:06,  3.37it/s, v_num=1, train_loss_step=3.33e+6, train_loss_epoch=3.32e+6]Epoch 349/3000:  12%|█▏        | 349/3000 [02:27<13:06,  3.37it/s, v_num=1, train_loss_step=3.47e+6, train_loss_epoch=3.32e+6]Epoch 350/3000:  12%|█▏        | 349/3000 [02:27<13:06,  3.37it/s, v_num=1, train_loss_step=3.47e+6, train_loss_epoch=3.32e+6]Epoch 350/3000:  12%|█▏        | 350/3000 [02:27<10:41,  4.13it/s, v_num=1, train_loss_step=3.47e+6, train_loss_epoch=3.32e+6]Epoch 350/3000:  12%|█▏        | 350/3000 [02:27<10:41,  4.13it/s, v_num=1, train_loss_step=3.01e+6, train_loss_epoch=3.31e+6]Epoch 351/3000:  12%|█▏        | 350/3000 [02:27<10:41,  4.13it/s, v_num=1, train_loss_step=3.01e+6, train_loss_epoch=3.31e+6]Epoch 351/3000:  12%|█▏        | 351/3000 [02:28<13:01,  3.39it/s, v_num=1, train_loss_step=3.01e+6, train_loss_epoch=3.31e+6]Epoch 351/3000:  12%|█▏        | 351/3000 [02:28<13:01,  3.39it/s, v_num=1, train_loss_step=3.35e+6, train_loss_epoch=3.3e+6] Epoch 352/3000:  12%|█▏        | 351/3000 [02:28<13:01,  3.39it/s, v_num=1, train_loss_step=3.35e+6, train_loss_epoch=3.3e+6]Epoch 352/3000:  12%|█▏        | 352/3000 [02:28<15:22,  2.87it/s, v_num=1, train_loss_step=3.35e+6, train_loss_epoch=3.3e+6]Epoch 352/3000:  12%|█▏        | 352/3000 [02:28<15:22,  2.87it/s, v_num=1, train_loss_step=3.55e+6, train_loss_epoch=3.29e+6]Epoch 353/3000:  12%|█▏        | 352/3000 [02:28<15:22,  2.87it/s, v_num=1, train_loss_step=3.55e+6, train_loss_epoch=3.29e+6]Epoch 353/3000:  12%|█▏        | 353/3000 [02:29<16:59,  2.60it/s, v_num=1, train_loss_step=3.55e+6, train_loss_epoch=3.29e+6]Epoch 353/3000:  12%|█▏        | 353/3000 [02:29<16:59,  2.60it/s, v_num=1, train_loss_step=3.48e+6, train_loss_epoch=3.28e+6]Epoch 354/3000:  12%|█▏        | 353/3000 [02:29<16:59,  2.60it/s, v_num=1, train_loss_step=3.48e+6, train_loss_epoch=3.28e+6]Epoch 354/3000:  12%|█▏        | 354/3000 [02:29<17:16,  2.55it/s, v_num=1, train_loss_step=3.48e+6, train_loss_epoch=3.28e+6]Epoch 354/3000:  12%|█▏        | 354/3000 [02:29<17:16,  2.55it/s, v_num=1, train_loss_step=3.24e+6, train_loss_epoch=3.28e+6]Epoch 355/3000:  12%|█▏        | 354/3000 [02:29<17:16,  2.55it/s, v_num=1, train_loss_step=3.24e+6, train_loss_epoch=3.28e+6]Epoch 355/3000:  12%|█▏        | 355/3000 [02:29<18:14,  2.42it/s, v_num=1, train_loss_step=3.24e+6, train_loss_epoch=3.28e+6]Epoch 355/3000:  12%|█▏        | 355/3000 [02:29<18:14,  2.42it/s, v_num=1, train_loss_step=3.25e+6, train_loss_epoch=3.27e+6]Epoch 356/3000:  12%|█▏        | 355/3000 [02:29<18:14,  2.42it/s, v_num=1, train_loss_step=3.25e+6, train_loss_epoch=3.27e+6]Epoch 356/3000:  12%|█▏        | 356/3000 [02:30<16:39,  2.64it/s, v_num=1, train_loss_step=3.25e+6, train_loss_epoch=3.27e+6]Epoch 356/3000:  12%|█▏        | 356/3000 [02:30<16:39,  2.64it/s, v_num=1, train_loss_step=3.27e+6, train_loss_epoch=3.26e+6]Epoch 357/3000:  12%|█▏        | 356/3000 [02:30<16:39,  2.64it/s, v_num=1, train_loss_step=3.27e+6, train_loss_epoch=3.26e+6]Epoch 357/3000:  12%|█▏        | 357/3000 [02:30<17:56,  2.46it/s, v_num=1, train_loss_step=3.27e+6, train_loss_epoch=3.26e+6]Epoch 357/3000:  12%|█▏        | 357/3000 [02:30<17:56,  2.46it/s, v_num=1, train_loss_step=3.18e+6, train_loss_epoch=3.25e+6]Epoch 358/3000:  12%|█▏        | 357/3000 [02:30<17:56,  2.46it/s, v_num=1, train_loss_step=3.18e+6, train_loss_epoch=3.25e+6]Epoch 358/3000:  12%|█▏        | 358/3000 [02:31<16:28,  2.67it/s, v_num=1, train_loss_step=3.18e+6, train_loss_epoch=3.25e+6]Epoch 358/3000:  12%|█▏        | 358/3000 [02:31<16:28,  2.67it/s, v_num=1, train_loss_step=3.35e+6, train_loss_epoch=3.25e+6]Epoch 359/3000:  12%|█▏        | 358/3000 [02:31<16:28,  2.67it/s, v_num=1, train_loss_step=3.35e+6, train_loss_epoch=3.25e+6]Epoch 359/3000:  12%|█▏        | 359/3000 [02:31<19:00,  2.32it/s, v_num=1, train_loss_step=3.35e+6, train_loss_epoch=3.25e+6]Epoch 359/3000:  12%|█▏        | 359/3000 [02:31<19:00,  2.32it/s, v_num=1, train_loss_step=3.31e+6, train_loss_epoch=3.24e+6]Epoch 360/3000:  12%|█▏        | 359/3000 [02:31<19:00,  2.32it/s, v_num=1, train_loss_step=3.31e+6, train_loss_epoch=3.24e+6]Epoch 360/3000:  12%|█▏        | 360/3000 [02:32<19:57,  2.20it/s, v_num=1, train_loss_step=3.31e+6, train_loss_epoch=3.24e+6]Epoch 360/3000:  12%|█▏        | 360/3000 [02:32<19:57,  2.20it/s, v_num=1, train_loss_step=3.37e+6, train_loss_epoch=3.23e+6]Epoch 361/3000:  12%|█▏        | 360/3000 [02:32<19:57,  2.20it/s, v_num=1, train_loss_step=3.37e+6, train_loss_epoch=3.23e+6]Epoch 361/3000:  12%|█▏        | 361/3000 [02:32<18:24,  2.39it/s, v_num=1, train_loss_step=3.37e+6, train_loss_epoch=3.23e+6]Epoch 361/3000:  12%|█▏        | 361/3000 [02:32<18:24,  2.39it/s, v_num=1, train_loss_step=3.32e+6, train_loss_epoch=3.23e+6]Epoch 362/3000:  12%|█▏        | 361/3000 [02:32<18:24,  2.39it/s, v_num=1, train_loss_step=3.32e+6, train_loss_epoch=3.23e+6]Epoch 362/3000:  12%|█▏        | 362/3000 [02:32<19:40,  2.23it/s, v_num=1, train_loss_step=3.32e+6, train_loss_epoch=3.23e+6]Epoch 362/3000:  12%|█▏        | 362/3000 [02:32<19:40,  2.23it/s, v_num=1, train_loss_step=3.26e+6, train_loss_epoch=3.22e+6]Epoch 363/3000:  12%|█▏        | 362/3000 [02:32<19:40,  2.23it/s, v_num=1, train_loss_step=3.26e+6, train_loss_epoch=3.22e+6]Epoch 363/3000:  12%|█▏        | 363/3000 [02:33<19:13,  2.29it/s, v_num=1, train_loss_step=3.26e+6, train_loss_epoch=3.22e+6]Epoch 363/3000:  12%|█▏        | 363/3000 [02:33<19:13,  2.29it/s, v_num=1, train_loss_step=3.09e+6, train_loss_epoch=3.21e+6]Epoch 364/3000:  12%|█▏        | 363/3000 [02:33<19:13,  2.29it/s, v_num=1, train_loss_step=3.09e+6, train_loss_epoch=3.21e+6]Epoch 364/3000:  12%|█▏        | 364/3000 [02:33<16:58,  2.59it/s, v_num=1, train_loss_step=3.09e+6, train_loss_epoch=3.21e+6]Epoch 364/3000:  12%|█▏        | 364/3000 [02:33<16:58,  2.59it/s, v_num=1, train_loss_step=3.24e+6, train_loss_epoch=3.2e+6] Epoch 365/3000:  12%|█▏        | 364/3000 [02:33<16:58,  2.59it/s, v_num=1, train_loss_step=3.24e+6, train_loss_epoch=3.2e+6]Epoch 365/3000:  12%|█▏        | 365/3000 [02:33<15:17,  2.87it/s, v_num=1, train_loss_step=3.24e+6, train_loss_epoch=3.2e+6]Epoch 365/3000:  12%|█▏        | 365/3000 [02:33<15:17,  2.87it/s, v_num=1, train_loss_step=3.33e+6, train_loss_epoch=3.2e+6]Epoch 366/3000:  12%|█▏        | 365/3000 [02:33<15:17,  2.87it/s, v_num=1, train_loss_step=3.33e+6, train_loss_epoch=3.2e+6]Epoch 366/3000:  12%|█▏        | 366/3000 [02:34<13:47,  3.18it/s, v_num=1, train_loss_step=3.33e+6, train_loss_epoch=3.2e+6]Epoch 366/3000:  12%|█▏        | 366/3000 [02:34<13:47,  3.18it/s, v_num=1, train_loss_step=3.25e+6, train_loss_epoch=3.19e+6]Epoch 367/3000:  12%|█▏        | 366/3000 [02:34<13:47,  3.18it/s, v_num=1, train_loss_step=3.25e+6, train_loss_epoch=3.19e+6]Epoch 367/3000:  12%|█▏        | 367/3000 [02:34<16:17,  2.69it/s, v_num=1, train_loss_step=3.25e+6, train_loss_epoch=3.19e+6]Epoch 367/3000:  12%|█▏        | 367/3000 [02:34<16:17,  2.69it/s, v_num=1, train_loss_step=3.27e+6, train_loss_epoch=3.18e+6]Epoch 368/3000:  12%|█▏        | 367/3000 [02:34<16:17,  2.69it/s, v_num=1, train_loss_step=3.27e+6, train_loss_epoch=3.18e+6]Epoch 368/3000:  12%|█▏        | 368/3000 [02:35<15:53,  2.76it/s, v_num=1, train_loss_step=3.27e+6, train_loss_epoch=3.18e+6]Epoch 368/3000:  12%|█▏        | 368/3000 [02:35<15:53,  2.76it/s, v_num=1, train_loss_step=3.49e+6, train_loss_epoch=3.18e+6]Epoch 369/3000:  12%|█▏        | 368/3000 [02:35<15:53,  2.76it/s, v_num=1, train_loss_step=3.49e+6, train_loss_epoch=3.18e+6]Epoch 369/3000:  12%|█▏        | 369/3000 [02:35<17:03,  2.57it/s, v_num=1, train_loss_step=3.49e+6, train_loss_epoch=3.18e+6]Epoch 369/3000:  12%|█▏        | 369/3000 [02:35<17:03,  2.57it/s, v_num=1, train_loss_step=3.12e+6, train_loss_epoch=3.17e+6]Epoch 370/3000:  12%|█▏        | 369/3000 [02:35<17:03,  2.57it/s, v_num=1, train_loss_step=3.12e+6, train_loss_epoch=3.17e+6]Epoch 370/3000:  12%|█▏        | 370/3000 [02:36<19:23,  2.26it/s, v_num=1, train_loss_step=3.12e+6, train_loss_epoch=3.17e+6]Epoch 370/3000:  12%|█▏        | 370/3000 [02:36<19:23,  2.26it/s, v_num=1, train_loss_step=3e+6, train_loss_epoch=3.16e+6]   Epoch 371/3000:  12%|█▏        | 370/3000 [02:36<19:23,  2.26it/s, v_num=1, train_loss_step=3e+6, train_loss_epoch=3.16e+6]Epoch 371/3000:  12%|█▏        | 371/3000 [02:36<20:53,  2.10it/s, v_num=1, train_loss_step=3e+6, train_loss_epoch=3.16e+6]Epoch 371/3000:  12%|█▏        | 371/3000 [02:36<20:53,  2.10it/s, v_num=1, train_loss_step=3.16e+6, train_loss_epoch=3.15e+6]Epoch 372/3000:  12%|█▏        | 371/3000 [02:36<20:53,  2.10it/s, v_num=1, train_loss_step=3.16e+6, train_loss_epoch=3.15e+6]Epoch 372/3000:  12%|█▏        | 372/3000 [02:37<21:39,  2.02it/s, v_num=1, train_loss_step=3.16e+6, train_loss_epoch=3.15e+6]Epoch 372/3000:  12%|█▏        | 372/3000 [02:37<21:39,  2.02it/s, v_num=1, train_loss_step=3.35e+6, train_loss_epoch=3.15e+6]Epoch 373/3000:  12%|█▏        | 372/3000 [02:37<21:39,  2.02it/s, v_num=1, train_loss_step=3.35e+6, train_loss_epoch=3.15e+6]Epoch 373/3000:  12%|█▏        | 373/3000 [02:37<20:30,  2.14it/s, v_num=1, train_loss_step=3.35e+6, train_loss_epoch=3.15e+6]Epoch 373/3000:  12%|█▏        | 373/3000 [02:37<20:30,  2.14it/s, v_num=1, train_loss_step=3.07e+6, train_loss_epoch=3.14e+6]Epoch 374/3000:  12%|█▏        | 373/3000 [02:37<20:30,  2.14it/s, v_num=1, train_loss_step=3.07e+6, train_loss_epoch=3.14e+6]Epoch 374/3000:  12%|█▏        | 374/3000 [02:37<18:24,  2.38it/s, v_num=1, train_loss_step=3.07e+6, train_loss_epoch=3.14e+6]Epoch 374/3000:  12%|█▏        | 374/3000 [02:37<18:24,  2.38it/s, v_num=1, train_loss_step=3.18e+6, train_loss_epoch=3.13e+6]Epoch 375/3000:  12%|█▏        | 374/3000 [02:37<18:24,  2.38it/s, v_num=1, train_loss_step=3.18e+6, train_loss_epoch=3.13e+6]Epoch 375/3000:  12%|█▎        | 375/3000 [02:38<20:16,  2.16it/s, v_num=1, train_loss_step=3.18e+6, train_loss_epoch=3.13e+6]Epoch 375/3000:  12%|█▎        | 375/3000 [02:38<20:16,  2.16it/s, v_num=1, train_loss_step=2.91e+6, train_loss_epoch=3.13e+6]Epoch 376/3000:  12%|█▎        | 375/3000 [02:38<20:16,  2.16it/s, v_num=1, train_loss_step=2.91e+6, train_loss_epoch=3.13e+6]Epoch 376/3000:  13%|█▎        | 376/3000 [02:38<19:35,  2.23it/s, v_num=1, train_loss_step=2.91e+6, train_loss_epoch=3.13e+6]Epoch 376/3000:  13%|█▎        | 376/3000 [02:38<19:35,  2.23it/s, v_num=1, train_loss_step=3.25e+6, train_loss_epoch=3.12e+6]Epoch 377/3000:  13%|█▎        | 376/3000 [02:38<19:35,  2.23it/s, v_num=1, train_loss_step=3.25e+6, train_loss_epoch=3.12e+6]Epoch 377/3000:  13%|█▎        | 377/3000 [02:39<19:02,  2.30it/s, v_num=1, train_loss_step=3.25e+6, train_loss_epoch=3.12e+6]Epoch 377/3000:  13%|█▎        | 377/3000 [02:39<19:02,  2.30it/s, v_num=1, train_loss_step=3.05e+6, train_loss_epoch=3.11e+6]Epoch 378/3000:  13%|█▎        | 377/3000 [02:39<19:02,  2.30it/s, v_num=1, train_loss_step=3.05e+6, train_loss_epoch=3.11e+6]Epoch 378/3000:  13%|█▎        | 378/3000 [02:39<16:45,  2.61it/s, v_num=1, train_loss_step=3.05e+6, train_loss_epoch=3.11e+6]Epoch 378/3000:  13%|█▎        | 378/3000 [02:39<16:45,  2.61it/s, v_num=1, train_loss_step=3.16e+6, train_loss_epoch=3.11e+6]Epoch 379/3000:  13%|█▎        | 378/3000 [02:39<16:45,  2.61it/s, v_num=1, train_loss_step=3.16e+6, train_loss_epoch=3.11e+6]Epoch 379/3000:  13%|█▎        | 379/3000 [02:39<15:40,  2.79it/s, v_num=1, train_loss_step=3.16e+6, train_loss_epoch=3.11e+6]Epoch 379/3000:  13%|█▎        | 379/3000 [02:39<15:40,  2.79it/s, v_num=1, train_loss_step=3.06e+6, train_loss_epoch=3.1e+6] Epoch 380/3000:  13%|█▎        | 379/3000 [02:39<15:40,  2.79it/s, v_num=1, train_loss_step=3.06e+6, train_loss_epoch=3.1e+6]Epoch 380/3000:  13%|█▎        | 380/3000 [02:40<16:26,  2.66it/s, v_num=1, train_loss_step=3.06e+6, train_loss_epoch=3.1e+6]Epoch 380/3000:  13%|█▎        | 380/3000 [02:40<16:26,  2.66it/s, v_num=1, train_loss_step=2.95e+6, train_loss_epoch=3.09e+6]Epoch 381/3000:  13%|█▎        | 380/3000 [02:40<16:26,  2.66it/s, v_num=1, train_loss_step=2.95e+6, train_loss_epoch=3.09e+6]Epoch 381/3000:  13%|█▎        | 381/3000 [02:40<16:32,  2.64it/s, v_num=1, train_loss_step=2.95e+6, train_loss_epoch=3.09e+6]Epoch 381/3000:  13%|█▎        | 381/3000 [02:40<16:32,  2.64it/s, v_num=1, train_loss_step=3.31e+6, train_loss_epoch=3.09e+6]Epoch 382/3000:  13%|█▎        | 381/3000 [02:40<16:32,  2.64it/s, v_num=1, train_loss_step=3.31e+6, train_loss_epoch=3.09e+6]Epoch 382/3000:  13%|█▎        | 382/3000 [02:40<15:42,  2.78it/s, v_num=1, train_loss_step=3.31e+6, train_loss_epoch=3.09e+6]Epoch 382/3000:  13%|█▎        | 382/3000 [02:40<15:42,  2.78it/s, v_num=1, train_loss_step=3.18e+6, train_loss_epoch=3.08e+6]Epoch 383/3000:  13%|█▎        | 382/3000 [02:40<15:42,  2.78it/s, v_num=1, train_loss_step=3.18e+6, train_loss_epoch=3.08e+6]Epoch 383/3000:  13%|█▎        | 383/3000 [02:41<16:18,  2.67it/s, v_num=1, train_loss_step=3.18e+6, train_loss_epoch=3.08e+6]Epoch 383/3000:  13%|█▎        | 383/3000 [02:41<16:18,  2.67it/s, v_num=1, train_loss_step=3.1e+6, train_loss_epoch=3.07e+6] Epoch 384/3000:  13%|█▎        | 383/3000 [02:41<16:18,  2.67it/s, v_num=1, train_loss_step=3.1e+6, train_loss_epoch=3.07e+6]Epoch 384/3000:  13%|█▎        | 384/3000 [02:41<18:19,  2.38it/s, v_num=1, train_loss_step=3.1e+6, train_loss_epoch=3.07e+6]Epoch 384/3000:  13%|█▎        | 384/3000 [02:41<18:19,  2.38it/s, v_num=1, train_loss_step=3.06e+6, train_loss_epoch=3.07e+6]Epoch 385/3000:  13%|█▎        | 384/3000 [02:41<18:19,  2.38it/s, v_num=1, train_loss_step=3.06e+6, train_loss_epoch=3.07e+6]Epoch 385/3000:  13%|█▎        | 385/3000 [02:42<19:51,  2.20it/s, v_num=1, train_loss_step=3.06e+6, train_loss_epoch=3.07e+6]Epoch 385/3000:  13%|█▎        | 385/3000 [02:42<19:51,  2.20it/s, v_num=1, train_loss_step=2.99e+6, train_loss_epoch=3.06e+6]Epoch 386/3000:  13%|█▎        | 385/3000 [02:42<19:51,  2.20it/s, v_num=1, train_loss_step=2.99e+6, train_loss_epoch=3.06e+6]Epoch 386/3000:  13%|█▎        | 386/3000 [02:42<21:34,  2.02it/s, v_num=1, train_loss_step=2.99e+6, train_loss_epoch=3.06e+6]Epoch 386/3000:  13%|█▎        | 386/3000 [02:42<21:34,  2.02it/s, v_num=1, train_loss_step=3.11e+6, train_loss_epoch=3.05e+6]Epoch 387/3000:  13%|█▎        | 386/3000 [02:42<21:34,  2.02it/s, v_num=1, train_loss_step=3.11e+6, train_loss_epoch=3.05e+6]Epoch 387/3000:  13%|█▎        | 387/3000 [02:43<20:57,  2.08it/s, v_num=1, train_loss_step=3.11e+6, train_loss_epoch=3.05e+6]Epoch 387/3000:  13%|█▎        | 387/3000 [02:43<20:57,  2.08it/s, v_num=1, train_loss_step=3.09e+6, train_loss_epoch=3.05e+6]Epoch 388/3000:  13%|█▎        | 387/3000 [02:43<20:57,  2.08it/s, v_num=1, train_loss_step=3.09e+6, train_loss_epoch=3.05e+6]Epoch 388/3000:  13%|█▎        | 388/3000 [02:43<21:16,  2.05it/s, v_num=1, train_loss_step=3.09e+6, train_loss_epoch=3.05e+6]Epoch 388/3000:  13%|█▎        | 388/3000 [02:43<21:16,  2.05it/s, v_num=1, train_loss_step=2.95e+6, train_loss_epoch=3.04e+6]Epoch 389/3000:  13%|█▎        | 388/3000 [02:43<21:16,  2.05it/s, v_num=1, train_loss_step=2.95e+6, train_loss_epoch=3.04e+6]Epoch 389/3000:  13%|█▎        | 389/3000 [02:44<20:01,  2.17it/s, v_num=1, train_loss_step=2.95e+6, train_loss_epoch=3.04e+6]Epoch 389/3000:  13%|█▎        | 389/3000 [02:44<20:01,  2.17it/s, v_num=1, train_loss_step=2.96e+6, train_loss_epoch=3.03e+6]Epoch 390/3000:  13%|█▎        | 389/3000 [02:44<20:01,  2.17it/s, v_num=1, train_loss_step=2.96e+6, train_loss_epoch=3.03e+6]Epoch 390/3000:  13%|█▎        | 390/3000 [02:44<20:09,  2.16it/s, v_num=1, train_loss_step=2.96e+6, train_loss_epoch=3.03e+6]Epoch 390/3000:  13%|█▎        | 390/3000 [02:44<20:09,  2.16it/s, v_num=1, train_loss_step=3.15e+6, train_loss_epoch=3.03e+6]Epoch 391/3000:  13%|█▎        | 390/3000 [02:44<20:09,  2.16it/s, v_num=1, train_loss_step=3.15e+6, train_loss_epoch=3.03e+6]Epoch 391/3000:  13%|█▎        | 391/3000 [02:45<20:55,  2.08it/s, v_num=1, train_loss_step=3.15e+6, train_loss_epoch=3.03e+6]Epoch 391/3000:  13%|█▎        | 391/3000 [02:45<20:55,  2.08it/s, v_num=1, train_loss_step=2.9e+6, train_loss_epoch=3.02e+6] Epoch 392/3000:  13%|█▎        | 391/3000 [02:45<20:55,  2.08it/s, v_num=1, train_loss_step=2.9e+6, train_loss_epoch=3.02e+6]Epoch 392/3000:  13%|█▎        | 392/3000 [02:45<20:10,  2.15it/s, v_num=1, train_loss_step=2.9e+6, train_loss_epoch=3.02e+6]Epoch 392/3000:  13%|█▎        | 392/3000 [02:45<20:10,  2.15it/s, v_num=1, train_loss_step=3.09e+6, train_loss_epoch=3.01e+6]Epoch 393/3000:  13%|█▎        | 392/3000 [02:45<20:10,  2.15it/s, v_num=1, train_loss_step=3.09e+6, train_loss_epoch=3.01e+6]Epoch 393/3000:  13%|█▎        | 393/3000 [02:46<18:19,  2.37it/s, v_num=1, train_loss_step=3.09e+6, train_loss_epoch=3.01e+6]Epoch 393/3000:  13%|█▎        | 393/3000 [02:46<18:19,  2.37it/s, v_num=1, train_loss_step=3.04e+6, train_loss_epoch=3.01e+6]Epoch 394/3000:  13%|█▎        | 393/3000 [02:46<18:19,  2.37it/s, v_num=1, train_loss_step=3.04e+6, train_loss_epoch=3.01e+6]Epoch 394/3000:  13%|█▎        | 394/3000 [02:46<18:09,  2.39it/s, v_num=1, train_loss_step=3.04e+6, train_loss_epoch=3.01e+6]Epoch 394/3000:  13%|█▎        | 394/3000 [02:46<18:09,  2.39it/s, v_num=1, train_loss_step=3.06e+6, train_loss_epoch=3e+6]   Epoch 395/3000:  13%|█▎        | 394/3000 [02:46<18:09,  2.39it/s, v_num=1, train_loss_step=3.06e+6, train_loss_epoch=3e+6]Epoch 395/3000:  13%|█▎        | 395/3000 [02:46<18:23,  2.36it/s, v_num=1, train_loss_step=3.06e+6, train_loss_epoch=3e+6]Epoch 395/3000:  13%|█▎        | 395/3000 [02:46<18:23,  2.36it/s, v_num=1, train_loss_step=3.21e+6, train_loss_epoch=3e+6]Epoch 396/3000:  13%|█▎        | 395/3000 [02:46<18:23,  2.36it/s, v_num=1, train_loss_step=3.21e+6, train_loss_epoch=3e+6]Epoch 396/3000:  13%|█▎        | 396/3000 [02:47<19:49,  2.19it/s, v_num=1, train_loss_step=3.21e+6, train_loss_epoch=3e+6]Epoch 396/3000:  13%|█▎        | 396/3000 [02:47<19:49,  2.19it/s, v_num=1, train_loss_step=3.1e+6, train_loss_epoch=2.99e+6]Epoch 397/3000:  13%|█▎        | 396/3000 [02:47<19:49,  2.19it/s, v_num=1, train_loss_step=3.1e+6, train_loss_epoch=2.99e+6]Epoch 397/3000:  13%|█▎        | 397/3000 [02:47<18:01,  2.41it/s, v_num=1, train_loss_step=3.1e+6, train_loss_epoch=2.99e+6]Epoch 397/3000:  13%|█▎        | 397/3000 [02:47<18:01,  2.41it/s, v_num=1, train_loss_step=2.98e+6, train_loss_epoch=2.98e+6]Epoch 398/3000:  13%|█▎        | 397/3000 [02:47<18:01,  2.41it/s, v_num=1, train_loss_step=2.98e+6, train_loss_epoch=2.98e+6]Epoch 398/3000:  13%|█▎        | 398/3000 [02:48<16:15,  2.67it/s, v_num=1, train_loss_step=2.98e+6, train_loss_epoch=2.98e+6]Epoch 398/3000:  13%|█▎        | 398/3000 [02:48<16:15,  2.67it/s, v_num=1, train_loss_step=2.96e+6, train_loss_epoch=2.98e+6]Epoch 399/3000:  13%|█▎        | 398/3000 [02:48<16:15,  2.67it/s, v_num=1, train_loss_step=2.96e+6, train_loss_epoch=2.98e+6]Epoch 399/3000:  13%|█▎        | 399/3000 [02:48<17:43,  2.45it/s, v_num=1, train_loss_step=2.96e+6, train_loss_epoch=2.98e+6]Epoch 399/3000:  13%|█▎        | 399/3000 [02:48<17:43,  2.45it/s, v_num=1, train_loss_step=3.03e+6, train_loss_epoch=2.97e+6]Epoch 400/3000:  13%|█▎        | 399/3000 [02:48<17:43,  2.45it/s, v_num=1, train_loss_step=3.03e+6, train_loss_epoch=2.97e+6]Epoch 400/3000:  13%|█▎        | 400/3000 [02:48<18:02,  2.40it/s, v_num=1, train_loss_step=3.03e+6, train_loss_epoch=2.97e+6]Epoch 400/3000:  13%|█▎        | 400/3000 [02:48<18:02,  2.40it/s, v_num=1, train_loss_step=2.84e+6, train_loss_epoch=2.96e+6]Epoch 401/3000:  13%|█▎        | 400/3000 [02:48<18:02,  2.40it/s, v_num=1, train_loss_step=2.84e+6, train_loss_epoch=2.96e+6]Epoch 401/3000:  13%|█▎        | 401/3000 [02:49<19:27,  2.23it/s, v_num=1, train_loss_step=2.84e+6, train_loss_epoch=2.96e+6]Epoch 401/3000:  13%|█▎        | 401/3000 [02:49<19:27,  2.23it/s, v_num=1, train_loss_step=2.99e+6, train_loss_epoch=2.96e+6]Epoch 402/3000:  13%|█▎        | 401/3000 [02:49<19:27,  2.23it/s, v_num=1, train_loss_step=2.99e+6, train_loss_epoch=2.96e+6]Epoch 402/3000:  13%|█▎        | 402/3000 [02:49<20:06,  2.15it/s, v_num=1, train_loss_step=2.99e+6, train_loss_epoch=2.96e+6]Epoch 402/3000:  13%|█▎        | 402/3000 [02:49<20:06,  2.15it/s, v_num=1, train_loss_step=3.08e+6, train_loss_epoch=2.95e+6]Epoch 403/3000:  13%|█▎        | 402/3000 [02:49<20:06,  2.15it/s, v_num=1, train_loss_step=3.08e+6, train_loss_epoch=2.95e+6]Epoch 403/3000:  13%|█▎        | 403/3000 [02:50<20:13,  2.14it/s, v_num=1, train_loss_step=3.08e+6, train_loss_epoch=2.95e+6]Epoch 403/3000:  13%|█▎        | 403/3000 [02:50<20:13,  2.14it/s, v_num=1, train_loss_step=2.96e+6, train_loss_epoch=2.95e+6]Epoch 404/3000:  13%|█▎        | 403/3000 [02:50<20:13,  2.14it/s, v_num=1, train_loss_step=2.96e+6, train_loss_epoch=2.95e+6]Epoch 404/3000:  13%|█▎        | 404/3000 [02:50<21:00,  2.06it/s, v_num=1, train_loss_step=2.96e+6, train_loss_epoch=2.95e+6]Epoch 404/3000:  13%|█▎        | 404/3000 [02:50<21:00,  2.06it/s, v_num=1, train_loss_step=2.8e+6, train_loss_epoch=2.94e+6] Epoch 405/3000:  13%|█▎        | 404/3000 [02:50<21:00,  2.06it/s, v_num=1, train_loss_step=2.8e+6, train_loss_epoch=2.94e+6]Epoch 405/3000:  14%|█▎        | 405/3000 [02:51<20:23,  2.12it/s, v_num=1, train_loss_step=2.8e+6, train_loss_epoch=2.94e+6]Epoch 405/3000:  14%|█▎        | 405/3000 [02:51<20:23,  2.12it/s, v_num=1, train_loss_step=3.18e+6, train_loss_epoch=2.93e+6]Epoch 406/3000:  14%|█▎        | 405/3000 [02:51<20:23,  2.12it/s, v_num=1, train_loss_step=3.18e+6, train_loss_epoch=2.93e+6]Epoch 406/3000:  14%|█▎        | 406/3000 [02:51<21:38,  2.00it/s, v_num=1, train_loss_step=3.18e+6, train_loss_epoch=2.93e+6]Epoch 406/3000:  14%|█▎        | 406/3000 [02:51<21:38,  2.00it/s, v_num=1, train_loss_step=2.97e+6, train_loss_epoch=2.93e+6]Epoch 407/3000:  14%|█▎        | 406/3000 [02:51<21:38,  2.00it/s, v_num=1, train_loss_step=2.97e+6, train_loss_epoch=2.93e+6]Epoch 407/3000:  14%|█▎        | 407/3000 [02:52<19:25,  2.22it/s, v_num=1, train_loss_step=2.97e+6, train_loss_epoch=2.93e+6]Epoch 407/3000:  14%|█▎        | 407/3000 [02:52<19:25,  2.22it/s, v_num=1, train_loss_step=2.84e+6, train_loss_epoch=2.92e+6]Epoch 408/3000:  14%|█▎        | 407/3000 [02:52<19:25,  2.22it/s, v_num=1, train_loss_step=2.84e+6, train_loss_epoch=2.92e+6]Epoch 408/3000:  14%|█▎        | 408/3000 [02:52<19:46,  2.19it/s, v_num=1, train_loss_step=2.84e+6, train_loss_epoch=2.92e+6]Epoch 408/3000:  14%|█▎        | 408/3000 [02:52<19:46,  2.19it/s, v_num=1, train_loss_step=3.06e+6, train_loss_epoch=2.92e+6]Epoch 409/3000:  14%|█▎        | 408/3000 [02:52<19:46,  2.19it/s, v_num=1, train_loss_step=3.06e+6, train_loss_epoch=2.92e+6]Epoch 409/3000:  14%|█▎        | 409/3000 [02:53<19:45,  2.18it/s, v_num=1, train_loss_step=3.06e+6, train_loss_epoch=2.92e+6]Epoch 409/3000:  14%|█▎        | 409/3000 [02:53<19:45,  2.18it/s, v_num=1, train_loss_step=3.12e+6, train_loss_epoch=2.91e+6]Epoch 410/3000:  14%|█▎        | 409/3000 [02:53<19:45,  2.18it/s, v_num=1, train_loss_step=3.12e+6, train_loss_epoch=2.91e+6]Epoch 410/3000:  14%|█▎        | 410/3000 [02:53<21:00,  2.05it/s, v_num=1, train_loss_step=3.12e+6, train_loss_epoch=2.91e+6]Epoch 410/3000:  14%|█▎        | 410/3000 [02:53<21:00,  2.05it/s, v_num=1, train_loss_step=2.82e+6, train_loss_epoch=2.9e+6] Epoch 411/3000:  14%|█▎        | 410/3000 [02:53<21:00,  2.05it/s, v_num=1, train_loss_step=2.82e+6, train_loss_epoch=2.9e+6]Epoch 411/3000:  14%|█▎        | 411/3000 [02:54<22:36,  1.91it/s, v_num=1, train_loss_step=2.82e+6, train_loss_epoch=2.9e+6]Epoch 411/3000:  14%|█▎        | 411/3000 [02:54<22:36,  1.91it/s, v_num=1, train_loss_step=2.73e+6, train_loss_epoch=2.9e+6]Epoch 412/3000:  14%|█▎        | 411/3000 [02:54<22:36,  1.91it/s, v_num=1, train_loss_step=2.73e+6, train_loss_epoch=2.9e+6]Epoch 412/3000:  14%|█▎        | 412/3000 [02:54<21:26,  2.01it/s, v_num=1, train_loss_step=2.73e+6, train_loss_epoch=2.9e+6]Epoch 412/3000:  14%|█▎        | 412/3000 [02:54<21:26,  2.01it/s, v_num=1, train_loss_step=2.85e+6, train_loss_epoch=2.89e+6]Epoch 413/3000:  14%|█▎        | 412/3000 [02:54<21:26,  2.01it/s, v_num=1, train_loss_step=2.85e+6, train_loss_epoch=2.89e+6]Epoch 413/3000:  14%|█▍        | 413/3000 [02:55<21:48,  1.98it/s, v_num=1, train_loss_step=2.85e+6, train_loss_epoch=2.89e+6]Epoch 413/3000:  14%|█▍        | 413/3000 [02:55<21:48,  1.98it/s, v_num=1, train_loss_step=2.87e+6, train_loss_epoch=2.89e+6]Epoch 414/3000:  14%|█▍        | 413/3000 [02:55<21:48,  1.98it/s, v_num=1, train_loss_step=2.87e+6, train_loss_epoch=2.89e+6]Epoch 414/3000:  14%|█▍        | 414/3000 [02:56<23:31,  1.83it/s, v_num=1, train_loss_step=2.87e+6, train_loss_epoch=2.89e+6]Epoch 414/3000:  14%|█▍        | 414/3000 [02:56<23:31,  1.83it/s, v_num=1, train_loss_step=2.94e+6, train_loss_epoch=2.88e+6]Epoch 415/3000:  14%|█▍        | 414/3000 [02:56<23:31,  1.83it/s, v_num=1, train_loss_step=2.94e+6, train_loss_epoch=2.88e+6]Epoch 415/3000:  14%|█▍        | 415/3000 [02:56<22:50,  1.89it/s, v_num=1, train_loss_step=2.94e+6, train_loss_epoch=2.88e+6]Epoch 415/3000:  14%|█▍        | 415/3000 [02:56<22:50,  1.89it/s, v_num=1, train_loss_step=2.89e+6, train_loss_epoch=2.88e+6]Epoch 416/3000:  14%|█▍        | 415/3000 [02:56<22:50,  1.89it/s, v_num=1, train_loss_step=2.89e+6, train_loss_epoch=2.88e+6]Epoch 416/3000:  14%|█▍        | 416/3000 [02:56<20:37,  2.09it/s, v_num=1, train_loss_step=2.89e+6, train_loss_epoch=2.88e+6]Epoch 416/3000:  14%|█▍        | 416/3000 [02:56<20:37,  2.09it/s, v_num=1, train_loss_step=2.95e+6, train_loss_epoch=2.87e+6]Epoch 417/3000:  14%|█▍        | 416/3000 [02:56<20:37,  2.09it/s, v_num=1, train_loss_step=2.95e+6, train_loss_epoch=2.87e+6]Epoch 417/3000:  14%|█▍        | 417/3000 [02:57<19:22,  2.22it/s, v_num=1, train_loss_step=2.95e+6, train_loss_epoch=2.87e+6]Epoch 417/3000:  14%|█▍        | 417/3000 [02:57<19:22,  2.22it/s, v_num=1, train_loss_step=2.77e+6, train_loss_epoch=2.86e+6]Epoch 418/3000:  14%|█▍        | 417/3000 [02:57<19:22,  2.22it/s, v_num=1, train_loss_step=2.77e+6, train_loss_epoch=2.86e+6]Epoch 418/3000:  14%|█▍        | 418/3000 [02:57<18:56,  2.27it/s, v_num=1, train_loss_step=2.77e+6, train_loss_epoch=2.86e+6]Epoch 418/3000:  14%|█▍        | 418/3000 [02:57<18:56,  2.27it/s, v_num=1, train_loss_step=2.76e+6, train_loss_epoch=2.86e+6]Epoch 419/3000:  14%|█▍        | 418/3000 [02:57<18:56,  2.27it/s, v_num=1, train_loss_step=2.76e+6, train_loss_epoch=2.86e+6]Epoch 419/3000:  14%|█▍        | 419/3000 [02:58<18:54,  2.28it/s, v_num=1, train_loss_step=2.76e+6, train_loss_epoch=2.86e+6]Epoch 419/3000:  14%|█▍        | 419/3000 [02:58<18:54,  2.28it/s, v_num=1, train_loss_step=2.89e+6, train_loss_epoch=2.85e+6]Epoch 420/3000:  14%|█▍        | 419/3000 [02:58<18:54,  2.28it/s, v_num=1, train_loss_step=2.89e+6, train_loss_epoch=2.85e+6]Epoch 420/3000:  14%|█▍        | 420/3000 [02:58<19:37,  2.19it/s, v_num=1, train_loss_step=2.89e+6, train_loss_epoch=2.85e+6]Epoch 420/3000:  14%|█▍        | 420/3000 [02:58<19:37,  2.19it/s, v_num=1, train_loss_step=2.96e+6, train_loss_epoch=2.85e+6]Epoch 421/3000:  14%|█▍        | 420/3000 [02:58<19:37,  2.19it/s, v_num=1, train_loss_step=2.96e+6, train_loss_epoch=2.85e+6]Epoch 421/3000:  14%|█▍        | 421/3000 [02:59<20:54,  2.06it/s, v_num=1, train_loss_step=2.96e+6, train_loss_epoch=2.85e+6]Epoch 421/3000:  14%|█▍        | 421/3000 [02:59<20:54,  2.06it/s, v_num=1, train_loss_step=2.89e+6, train_loss_epoch=2.84e+6]Epoch 422/3000:  14%|█▍        | 421/3000 [02:59<20:54,  2.06it/s, v_num=1, train_loss_step=2.89e+6, train_loss_epoch=2.84e+6]Epoch 422/3000:  14%|█▍        | 422/3000 [02:59<20:04,  2.14it/s, v_num=1, train_loss_step=2.89e+6, train_loss_epoch=2.84e+6]Epoch 422/3000:  14%|█▍        | 422/3000 [02:59<20:04,  2.14it/s, v_num=1, train_loss_step=3e+6, train_loss_epoch=2.84e+6]   Epoch 423/3000:  14%|█▍        | 422/3000 [02:59<20:04,  2.14it/s, v_num=1, train_loss_step=3e+6, train_loss_epoch=2.84e+6]Epoch 423/3000:  14%|█▍        | 423/3000 [02:59<18:40,  2.30it/s, v_num=1, train_loss_step=3e+6, train_loss_epoch=2.84e+6]Epoch 423/3000:  14%|█▍        | 423/3000 [02:59<18:40,  2.30it/s, v_num=1, train_loss_step=2.85e+6, train_loss_epoch=2.83e+6]Epoch 424/3000:  14%|█▍        | 423/3000 [02:59<18:40,  2.30it/s, v_num=1, train_loss_step=2.85e+6, train_loss_epoch=2.83e+6]Epoch 424/3000:  14%|█▍        | 424/3000 [03:00<19:36,  2.19it/s, v_num=1, train_loss_step=2.85e+6, train_loss_epoch=2.83e+6]Epoch 424/3000:  14%|█▍        | 424/3000 [03:00<19:36,  2.19it/s, v_num=1, train_loss_step=2.9e+6, train_loss_epoch=2.83e+6] Epoch 425/3000:  14%|█▍        | 424/3000 [03:00<19:36,  2.19it/s, v_num=1, train_loss_step=2.9e+6, train_loss_epoch=2.83e+6]Epoch 425/3000:  14%|█▍        | 425/3000 [03:00<19:23,  2.21it/s, v_num=1, train_loss_step=2.9e+6, train_loss_epoch=2.83e+6]Epoch 425/3000:  14%|█▍        | 425/3000 [03:00<19:23,  2.21it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.82e+6]Epoch 426/3000:  14%|█▍        | 425/3000 [03:00<19:23,  2.21it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.82e+6]Epoch 426/3000:  14%|█▍        | 426/3000 [03:01<18:13,  2.35it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.82e+6]Epoch 426/3000:  14%|█▍        | 426/3000 [03:01<18:13,  2.35it/s, v_num=1, train_loss_step=2.87e+6, train_loss_epoch=2.81e+6]Epoch 427/3000:  14%|█▍        | 426/3000 [03:01<18:13,  2.35it/s, v_num=1, train_loss_step=2.87e+6, train_loss_epoch=2.81e+6]Epoch 427/3000:  14%|█▍        | 427/3000 [03:01<18:56,  2.26it/s, v_num=1, train_loss_step=2.87e+6, train_loss_epoch=2.81e+6]Epoch 427/3000:  14%|█▍        | 427/3000 [03:01<18:56,  2.26it/s, v_num=1, train_loss_step=2.77e+6, train_loss_epoch=2.81e+6]Epoch 428/3000:  14%|█▍        | 427/3000 [03:01<18:56,  2.26it/s, v_num=1, train_loss_step=2.77e+6, train_loss_epoch=2.81e+6]Epoch 428/3000:  14%|█▍        | 428/3000 [03:02<19:52,  2.16it/s, v_num=1, train_loss_step=2.77e+6, train_loss_epoch=2.81e+6]Epoch 428/3000:  14%|█▍        | 428/3000 [03:02<19:52,  2.16it/s, v_num=1, train_loss_step=2.76e+6, train_loss_epoch=2.8e+6] Epoch 429/3000:  14%|█▍        | 428/3000 [03:02<19:52,  2.16it/s, v_num=1, train_loss_step=2.76e+6, train_loss_epoch=2.8e+6]Epoch 429/3000:  14%|█▍        | 429/3000 [03:02<20:05,  2.13it/s, v_num=1, train_loss_step=2.76e+6, train_loss_epoch=2.8e+6]Epoch 429/3000:  14%|█▍        | 429/3000 [03:02<20:05,  2.13it/s, v_num=1, train_loss_step=2.68e+6, train_loss_epoch=2.8e+6]Epoch 430/3000:  14%|█▍        | 429/3000 [03:02<20:05,  2.13it/s, v_num=1, train_loss_step=2.68e+6, train_loss_epoch=2.8e+6]Epoch 430/3000:  14%|█▍        | 430/3000 [03:03<19:07,  2.24it/s, v_num=1, train_loss_step=2.68e+6, train_loss_epoch=2.8e+6]Epoch 430/3000:  14%|█▍        | 430/3000 [03:03<19:07,  2.24it/s, v_num=1, train_loss_step=2.83e+6, train_loss_epoch=2.79e+6]Epoch 431/3000:  14%|█▍        | 430/3000 [03:03<19:07,  2.24it/s, v_num=1, train_loss_step=2.83e+6, train_loss_epoch=2.79e+6]Epoch 431/3000:  14%|█▍        | 431/3000 [03:03<18:55,  2.26it/s, v_num=1, train_loss_step=2.83e+6, train_loss_epoch=2.79e+6]Epoch 431/3000:  14%|█▍        | 431/3000 [03:03<18:55,  2.26it/s, v_num=1, train_loss_step=2.72e+6, train_loss_epoch=2.79e+6]Epoch 432/3000:  14%|█▍        | 431/3000 [03:03<18:55,  2.26it/s, v_num=1, train_loss_step=2.72e+6, train_loss_epoch=2.79e+6]Epoch 432/3000:  14%|█▍        | 432/3000 [03:04<19:58,  2.14it/s, v_num=1, train_loss_step=2.72e+6, train_loss_epoch=2.79e+6]Epoch 432/3000:  14%|█▍        | 432/3000 [03:04<19:58,  2.14it/s, v_num=1, train_loss_step=3.01e+6, train_loss_epoch=2.78e+6]Epoch 433/3000:  14%|█▍        | 432/3000 [03:04<19:58,  2.14it/s, v_num=1, train_loss_step=3.01e+6, train_loss_epoch=2.78e+6]Epoch 433/3000:  14%|█▍        | 433/3000 [03:04<20:42,  2.07it/s, v_num=1, train_loss_step=3.01e+6, train_loss_epoch=2.78e+6]Epoch 433/3000:  14%|█▍        | 433/3000 [03:04<20:42,  2.07it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.78e+6]Epoch 434/3000:  14%|█▍        | 433/3000 [03:04<20:42,  2.07it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.78e+6]Epoch 434/3000:  14%|█▍        | 434/3000 [03:05<22:32,  1.90it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.78e+6]Epoch 434/3000:  14%|█▍        | 434/3000 [03:05<22:32,  1.90it/s, v_num=1, train_loss_step=2.73e+6, train_loss_epoch=2.77e+6]Epoch 435/3000:  14%|█▍        | 434/3000 [03:05<22:32,  1.90it/s, v_num=1, train_loss_step=2.73e+6, train_loss_epoch=2.77e+6]Epoch 435/3000:  14%|█▍        | 435/3000 [03:05<20:37,  2.07it/s, v_num=1, train_loss_step=2.73e+6, train_loss_epoch=2.77e+6]Epoch 435/3000:  14%|█▍        | 435/3000 [03:05<20:37,  2.07it/s, v_num=1, train_loss_step=2.8e+6, train_loss_epoch=2.77e+6] Epoch 436/3000:  14%|█▍        | 435/3000 [03:05<20:37,  2.07it/s, v_num=1, train_loss_step=2.8e+6, train_loss_epoch=2.77e+6]Epoch 436/3000:  15%|█▍        | 436/3000 [03:06<21:24,  2.00it/s, v_num=1, train_loss_step=2.8e+6, train_loss_epoch=2.77e+6]Epoch 436/3000:  15%|█▍        | 436/3000 [03:06<21:24,  2.00it/s, v_num=1, train_loss_step=2.83e+6, train_loss_epoch=2.76e+6]Epoch 437/3000:  15%|█▍        | 436/3000 [03:06<21:24,  2.00it/s, v_num=1, train_loss_step=2.83e+6, train_loss_epoch=2.76e+6]Epoch 437/3000:  15%|█▍        | 437/3000 [03:06<20:51,  2.05it/s, v_num=1, train_loss_step=2.83e+6, train_loss_epoch=2.76e+6]Epoch 437/3000:  15%|█▍        | 437/3000 [03:06<20:51,  2.05it/s, v_num=1, train_loss_step=2.7e+6, train_loss_epoch=2.76e+6] Epoch 438/3000:  15%|█▍        | 437/3000 [03:06<20:51,  2.05it/s, v_num=1, train_loss_step=2.7e+6, train_loss_epoch=2.76e+6]Epoch 438/3000:  15%|█▍        | 438/3000 [03:07<19:46,  2.16it/s, v_num=1, train_loss_step=2.7e+6, train_loss_epoch=2.76e+6]Epoch 438/3000:  15%|█▍        | 438/3000 [03:07<19:46,  2.16it/s, v_num=1, train_loss_step=2.89e+6, train_loss_epoch=2.75e+6]Epoch 439/3000:  15%|█▍        | 438/3000 [03:07<19:46,  2.16it/s, v_num=1, train_loss_step=2.89e+6, train_loss_epoch=2.75e+6]Epoch 439/3000:  15%|█▍        | 439/3000 [03:07<19:59,  2.14it/s, v_num=1, train_loss_step=2.89e+6, train_loss_epoch=2.75e+6]Epoch 439/3000:  15%|█▍        | 439/3000 [03:07<19:59,  2.14it/s, v_num=1, train_loss_step=2.74e+6, train_loss_epoch=2.74e+6]Epoch 440/3000:  15%|█▍        | 439/3000 [03:07<19:59,  2.14it/s, v_num=1, train_loss_step=2.74e+6, train_loss_epoch=2.74e+6]Epoch 440/3000:  15%|█▍        | 440/3000 [03:08<20:47,  2.05it/s, v_num=1, train_loss_step=2.74e+6, train_loss_epoch=2.74e+6]Epoch 440/3000:  15%|█▍        | 440/3000 [03:08<20:47,  2.05it/s, v_num=1, train_loss_step=2.95e+6, train_loss_epoch=2.74e+6]Epoch 441/3000:  15%|█▍        | 440/3000 [03:08<20:47,  2.05it/s, v_num=1, train_loss_step=2.95e+6, train_loss_epoch=2.74e+6]Epoch 441/3000:  15%|█▍        | 441/3000 [03:08<21:12,  2.01it/s, v_num=1, train_loss_step=2.95e+6, train_loss_epoch=2.74e+6]Epoch 441/3000:  15%|█▍        | 441/3000 [03:08<21:12,  2.01it/s, v_num=1, train_loss_step=2.79e+6, train_loss_epoch=2.73e+6]Epoch 442/3000:  15%|█▍        | 441/3000 [03:08<21:12,  2.01it/s, v_num=1, train_loss_step=2.79e+6, train_loss_epoch=2.73e+6]Epoch 442/3000:  15%|█▍        | 442/3000 [03:08<17:09,  2.48it/s, v_num=1, train_loss_step=2.79e+6, train_loss_epoch=2.73e+6]Epoch 442/3000:  15%|█▍        | 442/3000 [03:08<17:09,  2.48it/s, v_num=1, train_loss_step=2.66e+6, train_loss_epoch=2.73e+6]Epoch 443/3000:  15%|█▍        | 442/3000 [03:08<17:09,  2.48it/s, v_num=1, train_loss_step=2.66e+6, train_loss_epoch=2.73e+6]Epoch 443/3000:  15%|█▍        | 443/3000 [03:09<19:11,  2.22it/s, v_num=1, train_loss_step=2.66e+6, train_loss_epoch=2.73e+6]Epoch 443/3000:  15%|█▍        | 443/3000 [03:09<19:11,  2.22it/s, v_num=1, train_loss_step=2.67e+6, train_loss_epoch=2.72e+6]Epoch 444/3000:  15%|█▍        | 443/3000 [03:09<19:11,  2.22it/s, v_num=1, train_loss_step=2.67e+6, train_loss_epoch=2.72e+6]Epoch 444/3000:  15%|█▍        | 444/3000 [03:09<21:10,  2.01it/s, v_num=1, train_loss_step=2.67e+6, train_loss_epoch=2.72e+6]Epoch 444/3000:  15%|█▍        | 444/3000 [03:09<21:10,  2.01it/s, v_num=1, train_loss_step=2.85e+6, train_loss_epoch=2.72e+6]Epoch 445/3000:  15%|█▍        | 444/3000 [03:09<21:10,  2.01it/s, v_num=1, train_loss_step=2.85e+6, train_loss_epoch=2.72e+6]Epoch 445/3000:  15%|█▍        | 445/3000 [03:10<21:00,  2.03it/s, v_num=1, train_loss_step=2.85e+6, train_loss_epoch=2.72e+6]Epoch 445/3000:  15%|█▍        | 445/3000 [03:10<21:00,  2.03it/s, v_num=1, train_loss_step=2.74e+6, train_loss_epoch=2.71e+6]Epoch 446/3000:  15%|█▍        | 445/3000 [03:10<21:00,  2.03it/s, v_num=1, train_loss_step=2.74e+6, train_loss_epoch=2.71e+6]Epoch 446/3000:  15%|█▍        | 446/3000 [03:10<20:19,  2.09it/s, v_num=1, train_loss_step=2.74e+6, train_loss_epoch=2.71e+6]Epoch 446/3000:  15%|█▍        | 446/3000 [03:10<20:19,  2.09it/s, v_num=1, train_loss_step=2.61e+6, train_loss_epoch=2.71e+6]Epoch 447/3000:  15%|█▍        | 446/3000 [03:10<20:19,  2.09it/s, v_num=1, train_loss_step=2.61e+6, train_loss_epoch=2.71e+6]Epoch 447/3000:  15%|█▍        | 447/3000 [03:11<20:04,  2.12it/s, v_num=1, train_loss_step=2.61e+6, train_loss_epoch=2.71e+6]Epoch 447/3000:  15%|█▍        | 447/3000 [03:11<20:04,  2.12it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.7e+6] Epoch 448/3000:  15%|█▍        | 447/3000 [03:11<20:04,  2.12it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.7e+6]Epoch 448/3000:  15%|█▍        | 448/3000 [03:11<22:09,  1.92it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.7e+6]Epoch 448/3000:  15%|█▍        | 448/3000 [03:11<22:09,  1.92it/s, v_num=1, train_loss_step=2.68e+6, train_loss_epoch=2.7e+6]Epoch 449/3000:  15%|█▍        | 448/3000 [03:11<22:09,  1.92it/s, v_num=1, train_loss_step=2.68e+6, train_loss_epoch=2.7e+6]Epoch 449/3000:  15%|█▍        | 449/3000 [03:12<20:32,  2.07it/s, v_num=1, train_loss_step=2.68e+6, train_loss_epoch=2.7e+6]Epoch 449/3000:  15%|█▍        | 449/3000 [03:12<20:32,  2.07it/s, v_num=1, train_loss_step=2.62e+6, train_loss_epoch=2.69e+6]Epoch 450/3000:  15%|█▍        | 449/3000 [03:12<20:32,  2.07it/s, v_num=1, train_loss_step=2.62e+6, train_loss_epoch=2.69e+6]Epoch 450/3000:  15%|█▌        | 450/3000 [03:12<20:56,  2.03it/s, v_num=1, train_loss_step=2.62e+6, train_loss_epoch=2.69e+6]Epoch 450/3000:  15%|█▌        | 450/3000 [03:12<20:56,  2.03it/s, v_num=1, train_loss_step=2.7e+6, train_loss_epoch=2.69e+6] Epoch 451/3000:  15%|█▌        | 450/3000 [03:12<20:56,  2.03it/s, v_num=1, train_loss_step=2.7e+6, train_loss_epoch=2.69e+6]Epoch 451/3000:  15%|█▌        | 451/3000 [03:13<21:32,  1.97it/s, v_num=1, train_loss_step=2.7e+6, train_loss_epoch=2.69e+6]Epoch 451/3000:  15%|█▌        | 451/3000 [03:13<21:32,  1.97it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.68e+6]Epoch 452/3000:  15%|█▌        | 451/3000 [03:13<21:32,  1.97it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.68e+6]Epoch 452/3000:  15%|█▌        | 452/3000 [03:13<21:01,  2.02it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.68e+6]Epoch 452/3000:  15%|█▌        | 452/3000 [03:13<21:01,  2.02it/s, v_num=1, train_loss_step=2.68e+6, train_loss_epoch=2.68e+6]Epoch 453/3000:  15%|█▌        | 452/3000 [03:13<21:01,  2.02it/s, v_num=1, train_loss_step=2.68e+6, train_loss_epoch=2.68e+6]Epoch 453/3000:  15%|█▌        | 453/3000 [03:14<20:24,  2.08it/s, v_num=1, train_loss_step=2.68e+6, train_loss_epoch=2.68e+6]Epoch 453/3000:  15%|█▌        | 453/3000 [03:14<20:24,  2.08it/s, v_num=1, train_loss_step=2.8e+6, train_loss_epoch=2.67e+6] Epoch 454/3000:  15%|█▌        | 453/3000 [03:14<20:24,  2.08it/s, v_num=1, train_loss_step=2.8e+6, train_loss_epoch=2.67e+6]Epoch 454/3000:  15%|█▌        | 454/3000 [03:14<21:16,  1.99it/s, v_num=1, train_loss_step=2.8e+6, train_loss_epoch=2.67e+6]Epoch 454/3000:  15%|█▌        | 454/3000 [03:14<21:16,  1.99it/s, v_num=1, train_loss_step=2.69e+6, train_loss_epoch=2.67e+6]Epoch 455/3000:  15%|█▌        | 454/3000 [03:14<21:16,  1.99it/s, v_num=1, train_loss_step=2.69e+6, train_loss_epoch=2.67e+6]Epoch 455/3000:  15%|█▌        | 455/3000 [03:15<22:17,  1.90it/s, v_num=1, train_loss_step=2.69e+6, train_loss_epoch=2.67e+6]Epoch 455/3000:  15%|█▌        | 455/3000 [03:15<22:17,  1.90it/s, v_num=1, train_loss_step=2.78e+6, train_loss_epoch=2.66e+6]Epoch 456/3000:  15%|█▌        | 455/3000 [03:15<22:17,  1.90it/s, v_num=1, train_loss_step=2.78e+6, train_loss_epoch=2.66e+6]Epoch 456/3000:  15%|█▌        | 456/3000 [03:15<20:03,  2.11it/s, v_num=1, train_loss_step=2.78e+6, train_loss_epoch=2.66e+6]Epoch 456/3000:  15%|█▌        | 456/3000 [03:15<20:03,  2.11it/s, v_num=1, train_loss_step=2.66e+6, train_loss_epoch=2.66e+6]Epoch 457/3000:  15%|█▌        | 456/3000 [03:15<20:03,  2.11it/s, v_num=1, train_loss_step=2.66e+6, train_loss_epoch=2.66e+6]Epoch 457/3000:  15%|█▌        | 457/3000 [03:16<19:37,  2.16it/s, v_num=1, train_loss_step=2.66e+6, train_loss_epoch=2.66e+6]Epoch 457/3000:  15%|█▌        | 457/3000 [03:16<19:37,  2.16it/s, v_num=1, train_loss_step=2.7e+6, train_loss_epoch=2.65e+6] Epoch 458/3000:  15%|█▌        | 457/3000 [03:16<19:37,  2.16it/s, v_num=1, train_loss_step=2.7e+6, train_loss_epoch=2.65e+6]Epoch 458/3000:  15%|█▌        | 458/3000 [03:16<21:16,  1.99it/s, v_num=1, train_loss_step=2.7e+6, train_loss_epoch=2.65e+6]Epoch 458/3000:  15%|█▌        | 458/3000 [03:16<21:16,  1.99it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.65e+6]Epoch 459/3000:  15%|█▌        | 458/3000 [03:16<21:16,  1.99it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.65e+6]Epoch 459/3000:  15%|█▌        | 459/3000 [03:17<21:54,  1.93it/s, v_num=1, train_loss_step=2.75e+6, train_loss_epoch=2.65e+6]Epoch 459/3000:  15%|█▌        | 459/3000 [03:17<21:54,  1.93it/s, v_num=1, train_loss_step=2.71e+6, train_loss_epoch=2.65e+6]Epoch 460/3000:  15%|█▌        | 459/3000 [03:17<21:54,  1.93it/s, v_num=1, train_loss_step=2.71e+6, train_loss_epoch=2.65e+6]Epoch 460/3000:  15%|█▌        | 460/3000 [03:17<21:19,  1.99it/s, v_num=1, train_loss_step=2.71e+6, train_loss_epoch=2.65e+6]Epoch 460/3000:  15%|█▌        | 460/3000 [03:17<21:19,  1.99it/s, v_num=1, train_loss_step=2.83e+6, train_loss_epoch=2.64e+6]Epoch 461/3000:  15%|█▌        | 460/3000 [03:17<21:19,  1.99it/s, v_num=1, train_loss_step=2.83e+6, train_loss_epoch=2.64e+6]Epoch 461/3000:  15%|█▌        | 461/3000 [03:18<20:37,  2.05it/s, v_num=1, train_loss_step=2.83e+6, train_loss_epoch=2.64e+6]Epoch 461/3000:  15%|█▌        | 461/3000 [03:18<20:37,  2.05it/s, v_num=1, train_loss_step=2.6e+6, train_loss_epoch=2.64e+6] Epoch 462/3000:  15%|█▌        | 461/3000 [03:18<20:37,  2.05it/s, v_num=1, train_loss_step=2.6e+6, train_loss_epoch=2.64e+6]Epoch 462/3000:  15%|█▌        | 462/3000 [03:18<19:36,  2.16it/s, v_num=1, train_loss_step=2.6e+6, train_loss_epoch=2.64e+6]Epoch 462/3000:  15%|█▌        | 462/3000 [03:18<19:36,  2.16it/s, v_num=1, train_loss_step=2.5e+6, train_loss_epoch=2.63e+6]Epoch 463/3000:  15%|█▌        | 462/3000 [03:18<19:36,  2.16it/s, v_num=1, train_loss_step=2.5e+6, train_loss_epoch=2.63e+6]Epoch 463/3000:  15%|█▌        | 463/3000 [03:19<20:43,  2.04it/s, v_num=1, train_loss_step=2.5e+6, train_loss_epoch=2.63e+6]Epoch 463/3000:  15%|█▌        | 463/3000 [03:19<20:43,  2.04it/s, v_num=1, train_loss_step=2.68e+6, train_loss_epoch=2.63e+6]Epoch 464/3000:  15%|█▌        | 463/3000 [03:19<20:43,  2.04it/s, v_num=1, train_loss_step=2.68e+6, train_loss_epoch=2.63e+6]Epoch 464/3000:  15%|█▌        | 464/3000 [03:19<21:06,  2.00it/s, v_num=1, train_loss_step=2.68e+6, train_loss_epoch=2.63e+6]Epoch 464/3000:  15%|█▌        | 464/3000 [03:19<21:06,  2.00it/s, v_num=1, train_loss_step=2.74e+6, train_loss_epoch=2.62e+6]Epoch 465/3000:  15%|█▌        | 464/3000 [03:19<21:06,  2.00it/s, v_num=1, train_loss_step=2.74e+6, train_loss_epoch=2.62e+6]Epoch 465/3000:  16%|█▌        | 465/3000 [03:20<19:27,  2.17it/s, v_num=1, train_loss_step=2.74e+6, train_loss_epoch=2.62e+6]Epoch 465/3000:  16%|█▌        | 465/3000 [03:20<19:27,  2.17it/s, v_num=1, train_loss_step=2.61e+6, train_loss_epoch=2.62e+6]Epoch 466/3000:  16%|█▌        | 465/3000 [03:20<19:27,  2.17it/s, v_num=1, train_loss_step=2.61e+6, train_loss_epoch=2.62e+6]Epoch 466/3000:  16%|█▌        | 466/3000 [03:20<20:41,  2.04it/s, v_num=1, train_loss_step=2.61e+6, train_loss_epoch=2.62e+6]Epoch 466/3000:  16%|█▌        | 466/3000 [03:20<20:41,  2.04it/s, v_num=1, train_loss_step=2.56e+6, train_loss_epoch=2.61e+6]Epoch 467/3000:  16%|█▌        | 466/3000 [03:20<20:41,  2.04it/s, v_num=1, train_loss_step=2.56e+6, train_loss_epoch=2.61e+6]Epoch 467/3000:  16%|█▌        | 467/3000 [03:21<21:26,  1.97it/s, v_num=1, train_loss_step=2.56e+6, train_loss_epoch=2.61e+6]Epoch 467/3000:  16%|█▌        | 467/3000 [03:21<21:26,  1.97it/s, v_num=1, train_loss_step=2.65e+6, train_loss_epoch=2.61e+6]Epoch 468/3000:  16%|█▌        | 467/3000 [03:21<21:26,  1.97it/s, v_num=1, train_loss_step=2.65e+6, train_loss_epoch=2.61e+6]Epoch 468/3000:  16%|█▌        | 468/3000 [03:21<21:49,  1.93it/s, v_num=1, train_loss_step=2.65e+6, train_loss_epoch=2.61e+6]Epoch 468/3000:  16%|█▌        | 468/3000 [03:21<21:49,  1.93it/s, v_num=1, train_loss_step=2.53e+6, train_loss_epoch=2.6e+6] Epoch 469/3000:  16%|█▌        | 468/3000 [03:21<21:49,  1.93it/s, v_num=1, train_loss_step=2.53e+6, train_loss_epoch=2.6e+6]Epoch 469/3000:  16%|█▌        | 469/3000 [03:22<22:08,  1.90it/s, v_num=1, train_loss_step=2.53e+6, train_loss_epoch=2.6e+6]Epoch 469/3000:  16%|█▌        | 469/3000 [03:22<22:08,  1.90it/s, v_num=1, train_loss_step=2.56e+6, train_loss_epoch=2.6e+6]Epoch 470/3000:  16%|█▌        | 469/3000 [03:22<22:08,  1.90it/s, v_num=1, train_loss_step=2.56e+6, train_loss_epoch=2.6e+6]Epoch 470/3000:  16%|█▌        | 470/3000 [03:22<19:46,  2.13it/s, v_num=1, train_loss_step=2.56e+6, train_loss_epoch=2.6e+6]Epoch 470/3000:  16%|█▌        | 470/3000 [03:22<19:46,  2.13it/s, v_num=1, train_loss_step=2.64e+6, train_loss_epoch=2.59e+6]Epoch 471/3000:  16%|█▌        | 470/3000 [03:22<19:46,  2.13it/s, v_num=1, train_loss_step=2.64e+6, train_loss_epoch=2.59e+6]Epoch 471/3000:  16%|█▌        | 471/3000 [03:23<20:21,  2.07it/s, v_num=1, train_loss_step=2.64e+6, train_loss_epoch=2.59e+6]Epoch 471/3000:  16%|█▌        | 471/3000 [03:23<20:21,  2.07it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.59e+6]Epoch 472/3000:  16%|█▌        | 471/3000 [03:23<20:21,  2.07it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.59e+6]Epoch 472/3000:  16%|█▌        | 472/3000 [03:23<19:11,  2.19it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.59e+6]Epoch 472/3000:  16%|█▌        | 472/3000 [03:23<19:11,  2.19it/s, v_num=1, train_loss_step=2.63e+6, train_loss_epoch=2.58e+6]Epoch 473/3000:  16%|█▌        | 472/3000 [03:23<19:11,  2.19it/s, v_num=1, train_loss_step=2.63e+6, train_loss_epoch=2.58e+6]Epoch 473/3000:  16%|█▌        | 473/3000 [03:24<20:22,  2.07it/s, v_num=1, train_loss_step=2.63e+6, train_loss_epoch=2.58e+6]Epoch 473/3000:  16%|█▌        | 473/3000 [03:24<20:22,  2.07it/s, v_num=1, train_loss_step=2.56e+6, train_loss_epoch=2.58e+6]Epoch 474/3000:  16%|█▌        | 473/3000 [03:24<20:22,  2.07it/s, v_num=1, train_loss_step=2.56e+6, train_loss_epoch=2.58e+6]Epoch 474/3000:  16%|█▌        | 474/3000 [03:24<18:23,  2.29it/s, v_num=1, train_loss_step=2.56e+6, train_loss_epoch=2.58e+6]Epoch 474/3000:  16%|█▌        | 474/3000 [03:24<18:23,  2.29it/s, v_num=1, train_loss_step=2.56e+6, train_loss_epoch=2.58e+6]Epoch 475/3000:  16%|█▌        | 474/3000 [03:24<18:23,  2.29it/s, v_num=1, train_loss_step=2.56e+6, train_loss_epoch=2.58e+6]Epoch 475/3000:  16%|█▌        | 475/3000 [03:24<18:09,  2.32it/s, v_num=1, train_loss_step=2.56e+6, train_loss_epoch=2.58e+6]Epoch 475/3000:  16%|█▌        | 475/3000 [03:24<18:09,  2.32it/s, v_num=1, train_loss_step=2.64e+6, train_loss_epoch=2.57e+6]Epoch 476/3000:  16%|█▌        | 475/3000 [03:24<18:09,  2.32it/s, v_num=1, train_loss_step=2.64e+6, train_loss_epoch=2.57e+6]Epoch 476/3000:  16%|█▌        | 476/3000 [03:25<19:42,  2.13it/s, v_num=1, train_loss_step=2.64e+6, train_loss_epoch=2.57e+6]Epoch 476/3000:  16%|█▌        | 476/3000 [03:25<19:42,  2.13it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.57e+6]Epoch 477/3000:  16%|█▌        | 476/3000 [03:25<19:42,  2.13it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.57e+6]Epoch 477/3000:  16%|█▌        | 477/3000 [03:26<22:29,  1.87it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.57e+6]Epoch 477/3000:  16%|█▌        | 477/3000 [03:26<22:29,  1.87it/s, v_num=1, train_loss_step=2.74e+6, train_loss_epoch=2.56e+6]Epoch 478/3000:  16%|█▌        | 477/3000 [03:26<22:29,  1.87it/s, v_num=1, train_loss_step=2.74e+6, train_loss_epoch=2.56e+6]Epoch 478/3000:  16%|█▌        | 478/3000 [03:26<21:53,  1.92it/s, v_num=1, train_loss_step=2.74e+6, train_loss_epoch=2.56e+6]Epoch 478/3000:  16%|█▌        | 478/3000 [03:26<21:53,  1.92it/s, v_num=1, train_loss_step=2.55e+6, train_loss_epoch=2.56e+6]Epoch 479/3000:  16%|█▌        | 478/3000 [03:26<21:53,  1.92it/s, v_num=1, train_loss_step=2.55e+6, train_loss_epoch=2.56e+6]Epoch 479/3000:  16%|█▌        | 479/3000 [03:27<21:48,  1.93it/s, v_num=1, train_loss_step=2.55e+6, train_loss_epoch=2.56e+6]Epoch 479/3000:  16%|█▌        | 479/3000 [03:27<21:48,  1.93it/s, v_num=1, train_loss_step=2.54e+6, train_loss_epoch=2.55e+6]Epoch 480/3000:  16%|█▌        | 479/3000 [03:27<21:48,  1.93it/s, v_num=1, train_loss_step=2.54e+6, train_loss_epoch=2.55e+6]Epoch 480/3000:  16%|█▌        | 480/3000 [03:27<20:38,  2.03it/s, v_num=1, train_loss_step=2.54e+6, train_loss_epoch=2.55e+6]Epoch 480/3000:  16%|█▌        | 480/3000 [03:27<20:38,  2.03it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.55e+6]Epoch 481/3000:  16%|█▌        | 480/3000 [03:27<20:38,  2.03it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.55e+6]Epoch 481/3000:  16%|█▌        | 481/3000 [03:28<21:02,  2.00it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.55e+6]Epoch 481/3000:  16%|█▌        | 481/3000 [03:28<21:02,  2.00it/s, v_num=1, train_loss_step=2.54e+6, train_loss_epoch=2.54e+6]Epoch 482/3000:  16%|█▌        | 481/3000 [03:28<21:02,  2.00it/s, v_num=1, train_loss_step=2.54e+6, train_loss_epoch=2.54e+6]Epoch 482/3000:  16%|█▌        | 482/3000 [03:28<20:16,  2.07it/s, v_num=1, train_loss_step=2.54e+6, train_loss_epoch=2.54e+6]Epoch 482/3000:  16%|█▌        | 482/3000 [03:28<20:16,  2.07it/s, v_num=1, train_loss_step=2.26e+6, train_loss_epoch=2.54e+6]Epoch 483/3000:  16%|█▌        | 482/3000 [03:28<20:16,  2.07it/s, v_num=1, train_loss_step=2.26e+6, train_loss_epoch=2.54e+6]Epoch 483/3000:  16%|█▌        | 483/3000 [03:28<19:12,  2.18it/s, v_num=1, train_loss_step=2.26e+6, train_loss_epoch=2.54e+6]Epoch 483/3000:  16%|█▌        | 483/3000 [03:28<19:12,  2.18it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.54e+6]Epoch 484/3000:  16%|█▌        | 483/3000 [03:28<19:12,  2.18it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.54e+6]Epoch 484/3000:  16%|█▌        | 484/3000 [03:29<18:56,  2.21it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.54e+6]Epoch 484/3000:  16%|█▌        | 484/3000 [03:29<18:56,  2.21it/s, v_num=1, train_loss_step=2.45e+6, train_loss_epoch=2.53e+6]Epoch 485/3000:  16%|█▌        | 484/3000 [03:29<18:56,  2.21it/s, v_num=1, train_loss_step=2.45e+6, train_loss_epoch=2.53e+6]Epoch 485/3000:  16%|█▌        | 485/3000 [03:29<16:47,  2.50it/s, v_num=1, train_loss_step=2.45e+6, train_loss_epoch=2.53e+6]Epoch 485/3000:  16%|█▌        | 485/3000 [03:29<16:47,  2.50it/s, v_num=1, train_loss_step=2.62e+6, train_loss_epoch=2.53e+6]Epoch 486/3000:  16%|█▌        | 485/3000 [03:29<16:47,  2.50it/s, v_num=1, train_loss_step=2.62e+6, train_loss_epoch=2.53e+6]Epoch 486/3000:  16%|█▌        | 486/3000 [03:29<16:21,  2.56it/s, v_num=1, train_loss_step=2.62e+6, train_loss_epoch=2.53e+6]Epoch 486/3000:  16%|█▌        | 486/3000 [03:29<16:21,  2.56it/s, v_num=1, train_loss_step=2.46e+6, train_loss_epoch=2.52e+6]Epoch 487/3000:  16%|█▌        | 486/3000 [03:29<16:21,  2.56it/s, v_num=1, train_loss_step=2.46e+6, train_loss_epoch=2.52e+6]Epoch 487/3000:  16%|█▌        | 487/3000 [03:30<17:39,  2.37it/s, v_num=1, train_loss_step=2.46e+6, train_loss_epoch=2.52e+6]Epoch 487/3000:  16%|█▌        | 487/3000 [03:30<17:39,  2.37it/s, v_num=1, train_loss_step=2.44e+6, train_loss_epoch=2.52e+6]Epoch 488/3000:  16%|█▌        | 487/3000 [03:30<17:39,  2.37it/s, v_num=1, train_loss_step=2.44e+6, train_loss_epoch=2.52e+6]Epoch 488/3000:  16%|█▋        | 488/3000 [03:30<16:38,  2.52it/s, v_num=1, train_loss_step=2.44e+6, train_loss_epoch=2.52e+6]Epoch 488/3000:  16%|█▋        | 488/3000 [03:30<16:38,  2.52it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.51e+6]Epoch 489/3000:  16%|█▋        | 488/3000 [03:30<16:38,  2.52it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.51e+6]Epoch 489/3000:  16%|█▋        | 489/3000 [03:31<19:37,  2.13it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.51e+6]Epoch 489/3000:  16%|█▋        | 489/3000 [03:31<19:37,  2.13it/s, v_num=1, train_loss_step=2.49e+6, train_loss_epoch=2.51e+6]Epoch 490/3000:  16%|█▋        | 489/3000 [03:31<19:37,  2.13it/s, v_num=1, train_loss_step=2.49e+6, train_loss_epoch=2.51e+6]Epoch 490/3000:  16%|█▋        | 490/3000 [03:31<19:02,  2.20it/s, v_num=1, train_loss_step=2.49e+6, train_loss_epoch=2.51e+6]Epoch 490/3000:  16%|█▋        | 490/3000 [03:31<19:02,  2.20it/s, v_num=1, train_loss_step=2.42e+6, train_loss_epoch=2.51e+6]Epoch 491/3000:  16%|█▋        | 490/3000 [03:31<19:02,  2.20it/s, v_num=1, train_loss_step=2.42e+6, train_loss_epoch=2.51e+6]Epoch 491/3000:  16%|█▋        | 491/3000 [03:32<19:30,  2.14it/s, v_num=1, train_loss_step=2.42e+6, train_loss_epoch=2.51e+6]Epoch 491/3000:  16%|█▋        | 491/3000 [03:32<19:30,  2.14it/s, v_num=1, train_loss_step=2.48e+6, train_loss_epoch=2.5e+6] Epoch 492/3000:  16%|█▋        | 491/3000 [03:32<19:30,  2.14it/s, v_num=1, train_loss_step=2.48e+6, train_loss_epoch=2.5e+6]Epoch 492/3000:  16%|█▋        | 492/3000 [03:32<16:33,  2.52it/s, v_num=1, train_loss_step=2.48e+6, train_loss_epoch=2.5e+6]Epoch 492/3000:  16%|█▋        | 492/3000 [03:32<16:33,  2.52it/s, v_num=1, train_loss_step=2.48e+6, train_loss_epoch=2.5e+6]Epoch 493/3000:  16%|█▋        | 492/3000 [03:32<16:33,  2.52it/s, v_num=1, train_loss_step=2.48e+6, train_loss_epoch=2.5e+6]Epoch 493/3000:  16%|█▋        | 493/3000 [03:32<15:47,  2.64it/s, v_num=1, train_loss_step=2.48e+6, train_loss_epoch=2.5e+6]Epoch 493/3000:  16%|█▋        | 493/3000 [03:32<15:47,  2.64it/s, v_num=1, train_loss_step=2.49e+6, train_loss_epoch=2.49e+6]Epoch 494/3000:  16%|█▋        | 493/3000 [03:32<15:47,  2.64it/s, v_num=1, train_loss_step=2.49e+6, train_loss_epoch=2.49e+6]Epoch 494/3000:  16%|█▋        | 494/3000 [03:33<16:50,  2.48it/s, v_num=1, train_loss_step=2.49e+6, train_loss_epoch=2.49e+6]Epoch 494/3000:  16%|█▋        | 494/3000 [03:33<16:50,  2.48it/s, v_num=1, train_loss_step=2.46e+6, train_loss_epoch=2.49e+6]Epoch 495/3000:  16%|█▋        | 494/3000 [03:33<16:50,  2.48it/s, v_num=1, train_loss_step=2.46e+6, train_loss_epoch=2.49e+6]Epoch 495/3000:  16%|█▋        | 495/3000 [03:33<17:05,  2.44it/s, v_num=1, train_loss_step=2.46e+6, train_loss_epoch=2.49e+6]Epoch 495/3000:  16%|█▋        | 495/3000 [03:33<17:05,  2.44it/s, v_num=1, train_loss_step=2.46e+6, train_loss_epoch=2.49e+6]Epoch 496/3000:  16%|█▋        | 495/3000 [03:33<17:05,  2.44it/s, v_num=1, train_loss_step=2.46e+6, train_loss_epoch=2.49e+6]Epoch 496/3000:  17%|█▋        | 496/3000 [03:34<17:01,  2.45it/s, v_num=1, train_loss_step=2.46e+6, train_loss_epoch=2.49e+6]Epoch 496/3000:  17%|█▋        | 496/3000 [03:34<17:01,  2.45it/s, v_num=1, train_loss_step=2.48e+6, train_loss_epoch=2.48e+6]Epoch 497/3000:  17%|█▋        | 496/3000 [03:34<17:01,  2.45it/s, v_num=1, train_loss_step=2.48e+6, train_loss_epoch=2.48e+6]Epoch 497/3000:  17%|█▋        | 497/3000 [03:34<18:18,  2.28it/s, v_num=1, train_loss_step=2.48e+6, train_loss_epoch=2.48e+6]Epoch 497/3000:  17%|█▋        | 497/3000 [03:34<18:18,  2.28it/s, v_num=1, train_loss_step=2.43e+6, train_loss_epoch=2.48e+6]Epoch 498/3000:  17%|█▋        | 497/3000 [03:34<18:18,  2.28it/s, v_num=1, train_loss_step=2.43e+6, train_loss_epoch=2.48e+6]Epoch 498/3000:  17%|█▋        | 498/3000 [03:35<17:09,  2.43it/s, v_num=1, train_loss_step=2.43e+6, train_loss_epoch=2.48e+6]Epoch 498/3000:  17%|█▋        | 498/3000 [03:35<17:09,  2.43it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.47e+6]Epoch 499/3000:  17%|█▋        | 498/3000 [03:35<17:09,  2.43it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.47e+6]Epoch 499/3000:  17%|█▋        | 499/3000 [03:35<16:52,  2.47it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.47e+6]Epoch 499/3000:  17%|█▋        | 499/3000 [03:35<16:52,  2.47it/s, v_num=1, train_loss_step=2.49e+6, train_loss_epoch=2.47e+6]Epoch 500/3000:  17%|█▋        | 499/3000 [03:35<16:52,  2.47it/s, v_num=1, train_loss_step=2.49e+6, train_loss_epoch=2.47e+6]Epoch 500/3000:  17%|█▋        | 500/3000 [03:35<16:07,  2.58it/s, v_num=1, train_loss_step=2.49e+6, train_loss_epoch=2.47e+6]Epoch 500/3000:  17%|█▋        | 500/3000 [03:35<16:07,  2.58it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.46e+6]Epoch 501/3000:  17%|█▋        | 500/3000 [03:35<16:07,  2.58it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.46e+6]Epoch 501/3000:  17%|█▋        | 501/3000 [03:36<16:22,  2.54it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.46e+6]Epoch 501/3000:  17%|█▋        | 501/3000 [03:36<16:22,  2.54it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.46e+6]Epoch 502/3000:  17%|█▋        | 501/3000 [03:36<16:22,  2.54it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.46e+6]Epoch 502/3000:  17%|█▋        | 502/3000 [03:36<19:32,  2.13it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.46e+6]Epoch 502/3000:  17%|█▋        | 502/3000 [03:36<19:32,  2.13it/s, v_num=1, train_loss_step=2.4e+6, train_loss_epoch=2.46e+6] Epoch 503/3000:  17%|█▋        | 502/3000 [03:36<19:32,  2.13it/s, v_num=1, train_loss_step=2.4e+6, train_loss_epoch=2.46e+6]Epoch 503/3000:  17%|█▋        | 503/3000 [03:37<18:10,  2.29it/s, v_num=1, train_loss_step=2.4e+6, train_loss_epoch=2.46e+6]Epoch 503/3000:  17%|█▋        | 503/3000 [03:37<18:10,  2.29it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.45e+6]Epoch 504/3000:  17%|█▋        | 503/3000 [03:37<18:10,  2.29it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.45e+6]Epoch 504/3000:  17%|█▋        | 504/3000 [03:37<17:31,  2.37it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.45e+6]Epoch 504/3000:  17%|█▋        | 504/3000 [03:37<17:31,  2.37it/s, v_num=1, train_loss_step=2.47e+6, train_loss_epoch=2.45e+6]Epoch 505/3000:  17%|█▋        | 504/3000 [03:37<17:31,  2.37it/s, v_num=1, train_loss_step=2.47e+6, train_loss_epoch=2.45e+6]Epoch 505/3000:  17%|█▋        | 505/3000 [03:38<17:25,  2.39it/s, v_num=1, train_loss_step=2.47e+6, train_loss_epoch=2.45e+6]Epoch 505/3000:  17%|█▋        | 505/3000 [03:38<17:25,  2.39it/s, v_num=1, train_loss_step=2.38e+6, train_loss_epoch=2.44e+6]Epoch 506/3000:  17%|█▋        | 505/3000 [03:38<17:25,  2.39it/s, v_num=1, train_loss_step=2.38e+6, train_loss_epoch=2.44e+6]Epoch 506/3000:  17%|█▋        | 506/3000 [03:38<18:14,  2.28it/s, v_num=1, train_loss_step=2.38e+6, train_loss_epoch=2.44e+6]Epoch 506/3000:  17%|█▋        | 506/3000 [03:38<18:14,  2.28it/s, v_num=1, train_loss_step=2.5e+6, train_loss_epoch=2.44e+6] Epoch 507/3000:  17%|█▋        | 506/3000 [03:38<18:14,  2.28it/s, v_num=1, train_loss_step=2.5e+6, train_loss_epoch=2.44e+6]Epoch 507/3000:  17%|█▋        | 507/3000 [03:38<16:21,  2.54it/s, v_num=1, train_loss_step=2.5e+6, train_loss_epoch=2.44e+6]Epoch 507/3000:  17%|█▋        | 507/3000 [03:38<16:21,  2.54it/s, v_num=1, train_loss_step=2.41e+6, train_loss_epoch=2.44e+6]Epoch 508/3000:  17%|█▋        | 507/3000 [03:38<16:21,  2.54it/s, v_num=1, train_loss_step=2.41e+6, train_loss_epoch=2.44e+6]Epoch 508/3000:  17%|█▋        | 508/3000 [03:39<17:13,  2.41it/s, v_num=1, train_loss_step=2.41e+6, train_loss_epoch=2.44e+6]Epoch 508/3000:  17%|█▋        | 508/3000 [03:39<17:13,  2.41it/s, v_num=1, train_loss_step=2.43e+6, train_loss_epoch=2.43e+6]Epoch 509/3000:  17%|█▋        | 508/3000 [03:39<17:13,  2.41it/s, v_num=1, train_loss_step=2.43e+6, train_loss_epoch=2.43e+6]Epoch 509/3000:  17%|█▋        | 509/3000 [03:39<17:06,  2.43it/s, v_num=1, train_loss_step=2.43e+6, train_loss_epoch=2.43e+6]Epoch 509/3000:  17%|█▋        | 509/3000 [03:39<17:06,  2.43it/s, v_num=1, train_loss_step=2.38e+6, train_loss_epoch=2.43e+6]Epoch 510/3000:  17%|█▋        | 509/3000 [03:39<17:06,  2.43it/s, v_num=1, train_loss_step=2.38e+6, train_loss_epoch=2.43e+6]Epoch 510/3000:  17%|█▋        | 510/3000 [03:40<18:24,  2.25it/s, v_num=1, train_loss_step=2.38e+6, train_loss_epoch=2.43e+6]Epoch 510/3000:  17%|█▋        | 510/3000 [03:40<18:24,  2.25it/s, v_num=1, train_loss_step=2.44e+6, train_loss_epoch=2.43e+6]Epoch 511/3000:  17%|█▋        | 510/3000 [03:40<18:24,  2.25it/s, v_num=1, train_loss_step=2.44e+6, train_loss_epoch=2.43e+6]Epoch 511/3000:  17%|█▋        | 511/3000 [03:40<19:13,  2.16it/s, v_num=1, train_loss_step=2.44e+6, train_loss_epoch=2.43e+6]Epoch 511/3000:  17%|█▋        | 511/3000 [03:40<19:13,  2.16it/s, v_num=1, train_loss_step=2.52e+6, train_loss_epoch=2.42e+6]Epoch 512/3000:  17%|█▋        | 511/3000 [03:40<19:13,  2.16it/s, v_num=1, train_loss_step=2.52e+6, train_loss_epoch=2.42e+6]Epoch 512/3000:  17%|█▋        | 512/3000 [03:41<19:56,  2.08it/s, v_num=1, train_loss_step=2.52e+6, train_loss_epoch=2.42e+6]Epoch 512/3000:  17%|█▋        | 512/3000 [03:41<19:56,  2.08it/s, v_num=1, train_loss_step=2.54e+6, train_loss_epoch=2.42e+6]Epoch 513/3000:  17%|█▋        | 512/3000 [03:41<19:56,  2.08it/s, v_num=1, train_loss_step=2.54e+6, train_loss_epoch=2.42e+6]Epoch 513/3000:  17%|█▋        | 513/3000 [03:41<19:52,  2.09it/s, v_num=1, train_loss_step=2.54e+6, train_loss_epoch=2.42e+6]Epoch 513/3000:  17%|█▋        | 513/3000 [03:41<19:52,  2.09it/s, v_num=1, train_loss_step=2.45e+6, train_loss_epoch=2.41e+6]Epoch 514/3000:  17%|█▋        | 513/3000 [03:41<19:52,  2.09it/s, v_num=1, train_loss_step=2.45e+6, train_loss_epoch=2.41e+6]Epoch 514/3000:  17%|█▋        | 514/3000 [03:42<20:26,  2.03it/s, v_num=1, train_loss_step=2.45e+6, train_loss_epoch=2.41e+6]Epoch 514/3000:  17%|█▋        | 514/3000 [03:42<20:26,  2.03it/s, v_num=1, train_loss_step=2.43e+6, train_loss_epoch=2.41e+6]Epoch 515/3000:  17%|█▋        | 514/3000 [03:42<20:26,  2.03it/s, v_num=1, train_loss_step=2.43e+6, train_loss_epoch=2.41e+6]Epoch 515/3000:  17%|█▋        | 515/3000 [03:42<18:08,  2.28it/s, v_num=1, train_loss_step=2.43e+6, train_loss_epoch=2.41e+6]Epoch 515/3000:  17%|█▋        | 515/3000 [03:42<18:08,  2.28it/s, v_num=1, train_loss_step=2.49e+6, train_loss_epoch=2.41e+6]Epoch 516/3000:  17%|█▋        | 515/3000 [03:42<18:08,  2.28it/s, v_num=1, train_loss_step=2.49e+6, train_loss_epoch=2.41e+6]Epoch 516/3000:  17%|█▋        | 516/3000 [03:42<18:17,  2.26it/s, v_num=1, train_loss_step=2.49e+6, train_loss_epoch=2.41e+6]Epoch 516/3000:  17%|█▋        | 516/3000 [03:42<18:17,  2.26it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.4e+6] Epoch 517/3000:  17%|█▋        | 516/3000 [03:42<18:17,  2.26it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.4e+6]Epoch 517/3000:  17%|█▋        | 517/3000 [03:43<19:42,  2.10it/s, v_num=1, train_loss_step=2.59e+6, train_loss_epoch=2.4e+6]Epoch 517/3000:  17%|█▋        | 517/3000 [03:43<19:42,  2.10it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.4e+6]Epoch 518/3000:  17%|█▋        | 517/3000 [03:43<19:42,  2.10it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.4e+6]Epoch 518/3000:  17%|█▋        | 518/3000 [03:43<19:00,  2.18it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.4e+6]Epoch 518/3000:  17%|█▋        | 518/3000 [03:43<19:00,  2.18it/s, v_num=1, train_loss_step=2.27e+6, train_loss_epoch=2.39e+6]Epoch 519/3000:  17%|█▋        | 518/3000 [03:43<19:00,  2.18it/s, v_num=1, train_loss_step=2.27e+6, train_loss_epoch=2.39e+6]Epoch 519/3000:  17%|█▋        | 519/3000 [03:44<20:27,  2.02it/s, v_num=1, train_loss_step=2.27e+6, train_loss_epoch=2.39e+6]Epoch 519/3000:  17%|█▋        | 519/3000 [03:44<20:27,  2.02it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.39e+6]Epoch 520/3000:  17%|█▋        | 519/3000 [03:44<20:27,  2.02it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.39e+6]Epoch 520/3000:  17%|█▋        | 520/3000 [03:45<20:12,  2.05it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.39e+6]Epoch 520/3000:  17%|█▋        | 520/3000 [03:45<20:12,  2.05it/s, v_num=1, train_loss_step=2.43e+6, train_loss_epoch=2.39e+6]Epoch 521/3000:  17%|█▋        | 520/3000 [03:45<20:12,  2.05it/s, v_num=1, train_loss_step=2.43e+6, train_loss_epoch=2.39e+6]Epoch 521/3000:  17%|█▋        | 521/3000 [03:45<20:10,  2.05it/s, v_num=1, train_loss_step=2.43e+6, train_loss_epoch=2.39e+6]Epoch 521/3000:  17%|█▋        | 521/3000 [03:45<20:10,  2.05it/s, v_num=1, train_loss_step=2.45e+6, train_loss_epoch=2.38e+6]Epoch 522/3000:  17%|█▋        | 521/3000 [03:45<20:10,  2.05it/s, v_num=1, train_loss_step=2.45e+6, train_loss_epoch=2.38e+6]Epoch 522/3000:  17%|█▋        | 522/3000 [03:45<18:14,  2.26it/s, v_num=1, train_loss_step=2.45e+6, train_loss_epoch=2.38e+6]Epoch 522/3000:  17%|█▋        | 522/3000 [03:45<18:14,  2.26it/s, v_num=1, train_loss_step=2.35e+6, train_loss_epoch=2.38e+6]Epoch 523/3000:  17%|█▋        | 522/3000 [03:45<18:14,  2.26it/s, v_num=1, train_loss_step=2.35e+6, train_loss_epoch=2.38e+6]Epoch 523/3000:  17%|█▋        | 523/3000 [03:46<18:06,  2.28it/s, v_num=1, train_loss_step=2.35e+6, train_loss_epoch=2.38e+6]Epoch 523/3000:  17%|█▋        | 523/3000 [03:46<18:06,  2.28it/s, v_num=1, train_loss_step=2.28e+6, train_loss_epoch=2.38e+6]Epoch 524/3000:  17%|█▋        | 523/3000 [03:46<18:06,  2.28it/s, v_num=1, train_loss_step=2.28e+6, train_loss_epoch=2.38e+6]Epoch 524/3000:  17%|█▋        | 524/3000 [03:46<16:37,  2.48it/s, v_num=1, train_loss_step=2.28e+6, train_loss_epoch=2.38e+6]Epoch 524/3000:  17%|█▋        | 524/3000 [03:46<16:37,  2.48it/s, v_num=1, train_loss_step=2.32e+6, train_loss_epoch=2.37e+6]Epoch 525/3000:  17%|█▋        | 524/3000 [03:46<16:37,  2.48it/s, v_num=1, train_loss_step=2.32e+6, train_loss_epoch=2.37e+6]Epoch 525/3000:  18%|█▊        | 525/3000 [03:47<18:32,  2.23it/s, v_num=1, train_loss_step=2.32e+6, train_loss_epoch=2.37e+6]Epoch 525/3000:  18%|█▊        | 525/3000 [03:47<18:32,  2.23it/s, v_num=1, train_loss_step=2.45e+6, train_loss_epoch=2.37e+6]Epoch 526/3000:  18%|█▊        | 525/3000 [03:47<18:32,  2.23it/s, v_num=1, train_loss_step=2.45e+6, train_loss_epoch=2.37e+6]Epoch 526/3000:  18%|█▊        | 526/3000 [03:47<20:06,  2.05it/s, v_num=1, train_loss_step=2.45e+6, train_loss_epoch=2.37e+6]Epoch 526/3000:  18%|█▊        | 526/3000 [03:47<20:06,  2.05it/s, v_num=1, train_loss_step=2.35e+6, train_loss_epoch=2.36e+6]Epoch 527/3000:  18%|█▊        | 526/3000 [03:47<20:06,  2.05it/s, v_num=1, train_loss_step=2.35e+6, train_loss_epoch=2.36e+6]Epoch 527/3000:  18%|█▊        | 527/3000 [03:48<19:16,  2.14it/s, v_num=1, train_loss_step=2.35e+6, train_loss_epoch=2.36e+6]Epoch 527/3000:  18%|█▊        | 527/3000 [03:48<19:16,  2.14it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.36e+6]Epoch 528/3000:  18%|█▊        | 527/3000 [03:48<19:16,  2.14it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.36e+6]Epoch 528/3000:  18%|█▊        | 528/3000 [03:48<18:32,  2.22it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.36e+6]Epoch 528/3000:  18%|█▊        | 528/3000 [03:48<18:32,  2.22it/s, v_num=1, train_loss_step=2.26e+6, train_loss_epoch=2.36e+6]Epoch 529/3000:  18%|█▊        | 528/3000 [03:48<18:32,  2.22it/s, v_num=1, train_loss_step=2.26e+6, train_loss_epoch=2.36e+6]Epoch 529/3000:  18%|█▊        | 529/3000 [03:49<19:11,  2.15it/s, v_num=1, train_loss_step=2.26e+6, train_loss_epoch=2.36e+6]Epoch 529/3000:  18%|█▊        | 529/3000 [03:49<19:11,  2.15it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.35e+6]Epoch 530/3000:  18%|█▊        | 529/3000 [03:49<19:11,  2.15it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.35e+6]Epoch 530/3000:  18%|█▊        | 530/3000 [03:49<16:18,  2.52it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.35e+6]Epoch 530/3000:  18%|█▊        | 530/3000 [03:49<16:18,  2.52it/s, v_num=1, train_loss_step=2.37e+6, train_loss_epoch=2.35e+6]Epoch 531/3000:  18%|█▊        | 530/3000 [03:49<16:18,  2.52it/s, v_num=1, train_loss_step=2.37e+6, train_loss_epoch=2.35e+6]Epoch 531/3000:  18%|█▊        | 531/3000 [03:49<16:53,  2.44it/s, v_num=1, train_loss_step=2.37e+6, train_loss_epoch=2.35e+6]Epoch 531/3000:  18%|█▊        | 531/3000 [03:49<16:53,  2.44it/s, v_num=1, train_loss_step=2.34e+6, train_loss_epoch=2.35e+6]Epoch 532/3000:  18%|█▊        | 531/3000 [03:49<16:53,  2.44it/s, v_num=1, train_loss_step=2.34e+6, train_loss_epoch=2.35e+6]Epoch 532/3000:  18%|█▊        | 532/3000 [03:50<18:43,  2.20it/s, v_num=1, train_loss_step=2.34e+6, train_loss_epoch=2.35e+6]Epoch 532/3000:  18%|█▊        | 532/3000 [03:50<18:43,  2.20it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.34e+6]Epoch 533/3000:  18%|█▊        | 532/3000 [03:50<18:43,  2.20it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.34e+6]Epoch 533/3000:  18%|█▊        | 533/3000 [03:50<19:37,  2.10it/s, v_num=1, train_loss_step=2.39e+6, train_loss_epoch=2.34e+6]Epoch 533/3000:  18%|█▊        | 533/3000 [03:50<19:37,  2.10it/s, v_num=1, train_loss_step=2.3e+6, train_loss_epoch=2.34e+6] Epoch 534/3000:  18%|█▊        | 533/3000 [03:50<19:37,  2.10it/s, v_num=1, train_loss_step=2.3e+6, train_loss_epoch=2.34e+6]Epoch 534/3000:  18%|█▊        | 534/3000 [03:51<19:03,  2.16it/s, v_num=1, train_loss_step=2.3e+6, train_loss_epoch=2.34e+6]Epoch 534/3000:  18%|█▊        | 534/3000 [03:51<19:03,  2.16it/s, v_num=1, train_loss_step=2.35e+6, train_loss_epoch=2.34e+6]Epoch 535/3000:  18%|█▊        | 534/3000 [03:51<19:03,  2.16it/s, v_num=1, train_loss_step=2.35e+6, train_loss_epoch=2.34e+6]Epoch 535/3000:  18%|█▊        | 535/3000 [03:51<20:14,  2.03it/s, v_num=1, train_loss_step=2.35e+6, train_loss_epoch=2.34e+6]Epoch 535/3000:  18%|█▊        | 535/3000 [03:51<20:14,  2.03it/s, v_num=1, train_loss_step=2.38e+6, train_loss_epoch=2.33e+6]Epoch 536/3000:  18%|█▊        | 535/3000 [03:51<20:14,  2.03it/s, v_num=1, train_loss_step=2.38e+6, train_loss_epoch=2.33e+6]Epoch 536/3000:  18%|█▊        | 536/3000 [03:52<19:31,  2.10it/s, v_num=1, train_loss_step=2.38e+6, train_loss_epoch=2.33e+6]Epoch 536/3000:  18%|█▊        | 536/3000 [03:52<19:31,  2.10it/s, v_num=1, train_loss_step=2.46e+6, train_loss_epoch=2.33e+6]Epoch 537/3000:  18%|█▊        | 536/3000 [03:52<19:31,  2.10it/s, v_num=1, train_loss_step=2.46e+6, train_loss_epoch=2.33e+6]Epoch 537/3000:  18%|█▊        | 537/3000 [03:52<21:24,  1.92it/s, v_num=1, train_loss_step=2.46e+6, train_loss_epoch=2.33e+6]Epoch 537/3000:  18%|█▊        | 537/3000 [03:52<21:24,  1.92it/s, v_num=1, train_loss_step=2.34e+6, train_loss_epoch=2.33e+6]Epoch 538/3000:  18%|█▊        | 537/3000 [03:52<21:24,  1.92it/s, v_num=1, train_loss_step=2.34e+6, train_loss_epoch=2.33e+6]Epoch 538/3000:  18%|█▊        | 538/3000 [03:53<21:02,  1.95it/s, v_num=1, train_loss_step=2.34e+6, train_loss_epoch=2.33e+6]Epoch 538/3000:  18%|█▊        | 538/3000 [03:53<21:02,  1.95it/s, v_num=1, train_loss_step=2.34e+6, train_loss_epoch=2.32e+6]Epoch 539/3000:  18%|█▊        | 538/3000 [03:53<21:02,  1.95it/s, v_num=1, train_loss_step=2.34e+6, train_loss_epoch=2.32e+6]Epoch 539/3000:  18%|█▊        | 539/3000 [03:53<20:19,  2.02it/s, v_num=1, train_loss_step=2.34e+6, train_loss_epoch=2.32e+6]Epoch 539/3000:  18%|█▊        | 539/3000 [03:53<20:19,  2.02it/s, v_num=1, train_loss_step=2.31e+6, train_loss_epoch=2.32e+6]Epoch 540/3000:  18%|█▊        | 539/3000 [03:53<20:19,  2.02it/s, v_num=1, train_loss_step=2.31e+6, train_loss_epoch=2.32e+6]Epoch 540/3000:  18%|█▊        | 540/3000 [03:54<18:23,  2.23it/s, v_num=1, train_loss_step=2.31e+6, train_loss_epoch=2.32e+6]Epoch 540/3000:  18%|█▊        | 540/3000 [03:54<18:23,  2.23it/s, v_num=1, train_loss_step=2.22e+6, train_loss_epoch=2.31e+6]Epoch 541/3000:  18%|█▊        | 540/3000 [03:54<18:23,  2.23it/s, v_num=1, train_loss_step=2.22e+6, train_loss_epoch=2.31e+6]Epoch 541/3000:  18%|█▊        | 541/3000 [03:54<17:26,  2.35it/s, v_num=1, train_loss_step=2.22e+6, train_loss_epoch=2.31e+6]Epoch 541/3000:  18%|█▊        | 541/3000 [03:54<17:26,  2.35it/s, v_num=1, train_loss_step=2.28e+6, train_loss_epoch=2.31e+6]Epoch 542/3000:  18%|█▊        | 541/3000 [03:54<17:26,  2.35it/s, v_num=1, train_loss_step=2.28e+6, train_loss_epoch=2.31e+6]Epoch 542/3000:  18%|█▊        | 542/3000 [03:54<15:26,  2.65it/s, v_num=1, train_loss_step=2.28e+6, train_loss_epoch=2.31e+6]Epoch 542/3000:  18%|█▊        | 542/3000 [03:54<15:26,  2.65it/s, v_num=1, train_loss_step=2.37e+6, train_loss_epoch=2.31e+6]Epoch 543/3000:  18%|█▊        | 542/3000 [03:54<15:26,  2.65it/s, v_num=1, train_loss_step=2.37e+6, train_loss_epoch=2.31e+6]Epoch 543/3000:  18%|█▊        | 543/3000 [03:55<13:36,  3.01it/s, v_num=1, train_loss_step=2.37e+6, train_loss_epoch=2.31e+6]Epoch 543/3000:  18%|█▊        | 543/3000 [03:55<13:36,  3.01it/s, v_num=1, train_loss_step=2.27e+6, train_loss_epoch=2.3e+6] Epoch 544/3000:  18%|█▊        | 543/3000 [03:55<13:36,  3.01it/s, v_num=1, train_loss_step=2.27e+6, train_loss_epoch=2.3e+6]Epoch 544/3000:  18%|█▊        | 544/3000 [03:55<12:42,  3.22it/s, v_num=1, train_loss_step=2.27e+6, train_loss_epoch=2.3e+6]Epoch 544/3000:  18%|█▊        | 544/3000 [03:55<12:42,  3.22it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.3e+6]Epoch 545/3000:  18%|█▊        | 544/3000 [03:55<12:42,  3.22it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.3e+6]Epoch 545/3000:  18%|█▊        | 545/3000 [03:55<16:17,  2.51it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.3e+6]Epoch 545/3000:  18%|█▊        | 545/3000 [03:55<16:17,  2.51it/s, v_num=1, train_loss_step=2.21e+6, train_loss_epoch=2.3e+6]Epoch 546/3000:  18%|█▊        | 545/3000 [03:55<16:17,  2.51it/s, v_num=1, train_loss_step=2.21e+6, train_loss_epoch=2.3e+6]Epoch 546/3000:  18%|█▊        | 546/3000 [03:56<18:03,  2.26it/s, v_num=1, train_loss_step=2.21e+6, train_loss_epoch=2.3e+6]Epoch 546/3000:  18%|█▊        | 546/3000 [03:56<18:03,  2.26it/s, v_num=1, train_loss_step=2.23e+6, train_loss_epoch=2.29e+6]Epoch 547/3000:  18%|█▊        | 546/3000 [03:56<18:03,  2.26it/s, v_num=1, train_loss_step=2.23e+6, train_loss_epoch=2.29e+6]Epoch 547/3000:  18%|█▊        | 547/3000 [03:56<16:58,  2.41it/s, v_num=1, train_loss_step=2.23e+6, train_loss_epoch=2.29e+6]Epoch 547/3000:  18%|█▊        | 547/3000 [03:56<16:58,  2.41it/s, v_num=1, train_loss_step=2.37e+6, train_loss_epoch=2.29e+6]Epoch 548/3000:  18%|█▊        | 547/3000 [03:56<16:58,  2.41it/s, v_num=1, train_loss_step=2.37e+6, train_loss_epoch=2.29e+6]Epoch 548/3000:  18%|█▊        | 548/3000 [03:57<17:45,  2.30it/s, v_num=1, train_loss_step=2.37e+6, train_loss_epoch=2.29e+6]Epoch 548/3000:  18%|█▊        | 548/3000 [03:57<17:45,  2.30it/s, v_num=1, train_loss_step=2.24e+6, train_loss_epoch=2.29e+6]Epoch 549/3000:  18%|█▊        | 548/3000 [03:57<17:45,  2.30it/s, v_num=1, train_loss_step=2.24e+6, train_loss_epoch=2.29e+6]Epoch 549/3000:  18%|█▊        | 549/3000 [03:57<18:19,  2.23it/s, v_num=1, train_loss_step=2.24e+6, train_loss_epoch=2.29e+6]Epoch 549/3000:  18%|█▊        | 549/3000 [03:57<18:19,  2.23it/s, v_num=1, train_loss_step=2.2e+6, train_loss_epoch=2.28e+6] Epoch 550/3000:  18%|█▊        | 549/3000 [03:57<18:19,  2.23it/s, v_num=1, train_loss_step=2.2e+6, train_loss_epoch=2.28e+6]Epoch 550/3000:  18%|█▊        | 550/3000 [03:58<17:07,  2.39it/s, v_num=1, train_loss_step=2.2e+6, train_loss_epoch=2.28e+6]Epoch 550/3000:  18%|█▊        | 550/3000 [03:58<17:07,  2.39it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.28e+6]Epoch 551/3000:  18%|█▊        | 550/3000 [03:58<17:07,  2.39it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.28e+6]Epoch 551/3000:  18%|█▊        | 551/3000 [03:58<17:07,  2.38it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.28e+6]Epoch 551/3000:  18%|█▊        | 551/3000 [03:58<17:07,  2.38it/s, v_num=1, train_loss_step=2.32e+6, train_loss_epoch=2.28e+6]Epoch 552/3000:  18%|█▊        | 551/3000 [03:58<17:07,  2.38it/s, v_num=1, train_loss_step=2.32e+6, train_loss_epoch=2.28e+6]Epoch 552/3000:  18%|█▊        | 552/3000 [03:58<17:06,  2.39it/s, v_num=1, train_loss_step=2.32e+6, train_loss_epoch=2.28e+6]Epoch 552/3000:  18%|█▊        | 552/3000 [03:58<17:06,  2.39it/s, v_num=1, train_loss_step=2.42e+6, train_loss_epoch=2.27e+6]Epoch 553/3000:  18%|█▊        | 552/3000 [03:58<17:06,  2.39it/s, v_num=1, train_loss_step=2.42e+6, train_loss_epoch=2.27e+6]Epoch 553/3000:  18%|█▊        | 553/3000 [03:59<17:25,  2.34it/s, v_num=1, train_loss_step=2.42e+6, train_loss_epoch=2.27e+6]Epoch 553/3000:  18%|█▊        | 553/3000 [03:59<17:25,  2.34it/s, v_num=1, train_loss_step=2.28e+6, train_loss_epoch=2.27e+6]Epoch 554/3000:  18%|█▊        | 553/3000 [03:59<17:25,  2.34it/s, v_num=1, train_loss_step=2.28e+6, train_loss_epoch=2.27e+6]Epoch 554/3000:  18%|█▊        | 554/3000 [03:59<16:16,  2.50it/s, v_num=1, train_loss_step=2.28e+6, train_loss_epoch=2.27e+6]Epoch 554/3000:  18%|█▊        | 554/3000 [03:59<16:16,  2.50it/s, v_num=1, train_loss_step=2.21e+6, train_loss_epoch=2.27e+6]Epoch 555/3000:  18%|█▊        | 554/3000 [03:59<16:16,  2.50it/s, v_num=1, train_loss_step=2.21e+6, train_loss_epoch=2.27e+6]Epoch 555/3000:  18%|█▊        | 555/3000 [04:00<15:39,  2.60it/s, v_num=1, train_loss_step=2.21e+6, train_loss_epoch=2.27e+6]Epoch 555/3000:  18%|█▊        | 555/3000 [04:00<15:39,  2.60it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.26e+6]Epoch 556/3000:  18%|█▊        | 555/3000 [04:00<15:39,  2.60it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.26e+6]Epoch 556/3000:  19%|█▊        | 556/3000 [04:00<14:25,  2.82it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.26e+6]Epoch 556/3000:  19%|█▊        | 556/3000 [04:00<14:25,  2.82it/s, v_num=1, train_loss_step=2.3e+6, train_loss_epoch=2.26e+6] Epoch 557/3000:  19%|█▊        | 556/3000 [04:00<14:25,  2.82it/s, v_num=1, train_loss_step=2.3e+6, train_loss_epoch=2.26e+6]Epoch 557/3000:  19%|█▊        | 557/3000 [04:00<13:29,  3.02it/s, v_num=1, train_loss_step=2.3e+6, train_loss_epoch=2.26e+6]Epoch 557/3000:  19%|█▊        | 557/3000 [04:00<13:29,  3.02it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.26e+6]Epoch 558/3000:  19%|█▊        | 557/3000 [04:00<13:29,  3.02it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.26e+6]Epoch 558/3000:  19%|█▊        | 558/3000 [04:00<12:42,  3.20it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.26e+6]Epoch 558/3000:  19%|█▊        | 558/3000 [04:00<12:42,  3.20it/s, v_num=1, train_loss_step=2.23e+6, train_loss_epoch=2.25e+6]Epoch 559/3000:  19%|█▊        | 558/3000 [04:00<12:42,  3.20it/s, v_num=1, train_loss_step=2.23e+6, train_loss_epoch=2.25e+6]Epoch 559/3000:  19%|█▊        | 559/3000 [04:01<13:56,  2.92it/s, v_num=1, train_loss_step=2.23e+6, train_loss_epoch=2.25e+6]Epoch 559/3000:  19%|█▊        | 559/3000 [04:01<13:56,  2.92it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.25e+6]Epoch 560/3000:  19%|█▊        | 559/3000 [04:01<13:56,  2.92it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.25e+6]Epoch 560/3000:  19%|█▊        | 560/3000 [04:01<13:20,  3.05it/s, v_num=1, train_loss_step=2.36e+6, train_loss_epoch=2.25e+6]Epoch 560/3000:  19%|█▊        | 560/3000 [04:01<13:20,  3.05it/s, v_num=1, train_loss_step=2.3e+6, train_loss_epoch=2.25e+6] Epoch 561/3000:  19%|█▊        | 560/3000 [04:01<13:20,  3.05it/s, v_num=1, train_loss_step=2.3e+6, train_loss_epoch=2.25e+6]Epoch 561/3000:  19%|█▊        | 561/3000 [04:02<16:18,  2.49it/s, v_num=1, train_loss_step=2.3e+6, train_loss_epoch=2.25e+6]Epoch 561/3000:  19%|█▊        | 561/3000 [04:02<16:18,  2.49it/s, v_num=1, train_loss_step=2.34e+6, train_loss_epoch=2.24e+6]Epoch 562/3000:  19%|█▊        | 561/3000 [04:02<16:18,  2.49it/s, v_num=1, train_loss_step=2.34e+6, train_loss_epoch=2.24e+6]Epoch 562/3000:  19%|█▊        | 562/3000 [04:02<17:13,  2.36it/s, v_num=1, train_loss_step=2.34e+6, train_loss_epoch=2.24e+6]Epoch 562/3000:  19%|█▊        | 562/3000 [04:02<17:13,  2.36it/s, v_num=1, train_loss_step=2.32e+6, train_loss_epoch=2.24e+6]Epoch 563/3000:  19%|█▊        | 562/3000 [04:02<17:13,  2.36it/s, v_num=1, train_loss_step=2.32e+6, train_loss_epoch=2.24e+6]Epoch 563/3000:  19%|█▉        | 563/3000 [04:03<18:11,  2.23it/s, v_num=1, train_loss_step=2.32e+6, train_loss_epoch=2.24e+6]Epoch 563/3000:  19%|█▉        | 563/3000 [04:03<18:11,  2.23it/s, v_num=1, train_loss_step=2.25e+6, train_loss_epoch=2.24e+6]Epoch 564/3000:  19%|█▉        | 563/3000 [04:03<18:11,  2.23it/s, v_num=1, train_loss_step=2.25e+6, train_loss_epoch=2.24e+6]Epoch 564/3000:  19%|█▉        | 564/3000 [04:03<20:03,  2.02it/s, v_num=1, train_loss_step=2.25e+6, train_loss_epoch=2.24e+6]Epoch 564/3000:  19%|█▉        | 564/3000 [04:03<20:03,  2.02it/s, v_num=1, train_loss_step=2.24e+6, train_loss_epoch=2.23e+6]Epoch 565/3000:  19%|█▉        | 564/3000 [04:03<20:03,  2.02it/s, v_num=1, train_loss_step=2.24e+6, train_loss_epoch=2.23e+6]Epoch 565/3000:  19%|█▉        | 565/3000 [04:04<20:39,  1.96it/s, v_num=1, train_loss_step=2.24e+6, train_loss_epoch=2.23e+6]Epoch 565/3000:  19%|█▉        | 565/3000 [04:04<20:39,  1.96it/s, v_num=1, train_loss_step=2.06e+6, train_loss_epoch=2.23e+6]Epoch 566/3000:  19%|█▉        | 565/3000 [04:04<20:39,  1.96it/s, v_num=1, train_loss_step=2.06e+6, train_loss_epoch=2.23e+6]Epoch 566/3000:  19%|█▉        | 566/3000 [04:04<19:15,  2.11it/s, v_num=1, train_loss_step=2.06e+6, train_loss_epoch=2.23e+6]Epoch 566/3000:  19%|█▉        | 566/3000 [04:04<19:15,  2.11it/s, v_num=1, train_loss_step=2.25e+6, train_loss_epoch=2.23e+6]Epoch 567/3000:  19%|█▉        | 566/3000 [04:04<19:15,  2.11it/s, v_num=1, train_loss_step=2.25e+6, train_loss_epoch=2.23e+6]Epoch 567/3000:  19%|█▉        | 567/3000 [04:05<18:10,  2.23it/s, v_num=1, train_loss_step=2.25e+6, train_loss_epoch=2.23e+6]Epoch 567/3000:  19%|█▉        | 567/3000 [04:05<18:10,  2.23it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.23e+6]Epoch 568/3000:  19%|█▉        | 567/3000 [04:05<18:10,  2.23it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.23e+6]Epoch 568/3000:  19%|█▉        | 568/3000 [04:05<15:44,  2.58it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.23e+6]Epoch 568/3000:  19%|█▉        | 568/3000 [04:05<15:44,  2.58it/s, v_num=1, train_loss_step=2.23e+6, train_loss_epoch=2.22e+6]Epoch 569/3000:  19%|█▉        | 568/3000 [04:05<15:44,  2.58it/s, v_num=1, train_loss_step=2.23e+6, train_loss_epoch=2.22e+6]Epoch 569/3000:  19%|█▉        | 569/3000 [04:05<17:24,  2.33it/s, v_num=1, train_loss_step=2.23e+6, train_loss_epoch=2.22e+6]Epoch 569/3000:  19%|█▉        | 569/3000 [04:05<17:24,  2.33it/s, v_num=1, train_loss_step=2.3e+6, train_loss_epoch=2.22e+6] Epoch 570/3000:  19%|█▉        | 569/3000 [04:05<17:24,  2.33it/s, v_num=1, train_loss_step=2.3e+6, train_loss_epoch=2.22e+6]Epoch 570/3000:  19%|█▉        | 570/3000 [04:06<17:08,  2.36it/s, v_num=1, train_loss_step=2.3e+6, train_loss_epoch=2.22e+6]Epoch 570/3000:  19%|█▉        | 570/3000 [04:06<17:08,  2.36it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.22e+6]Epoch 571/3000:  19%|█▉        | 570/3000 [04:06<17:08,  2.36it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.22e+6]Epoch 571/3000:  19%|█▉        | 571/3000 [04:06<18:05,  2.24it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.22e+6]Epoch 571/3000:  19%|█▉        | 571/3000 [04:06<18:05,  2.24it/s, v_num=1, train_loss_step=2.21e+6, train_loss_epoch=2.21e+6]Epoch 572/3000:  19%|█▉        | 571/3000 [04:06<18:05,  2.24it/s, v_num=1, train_loss_step=2.21e+6, train_loss_epoch=2.21e+6]Epoch 572/3000:  19%|█▉        | 572/3000 [04:07<19:17,  2.10it/s, v_num=1, train_loss_step=2.21e+6, train_loss_epoch=2.21e+6]Epoch 572/3000:  19%|█▉        | 572/3000 [04:07<19:17,  2.10it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.21e+6]Epoch 573/3000:  19%|█▉        | 572/3000 [04:07<19:17,  2.10it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.21e+6]Epoch 573/3000:  19%|█▉        | 573/3000 [04:07<20:31,  1.97it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.21e+6]Epoch 573/3000:  19%|█▉        | 573/3000 [04:07<20:31,  1.97it/s, v_num=1, train_loss_step=2.22e+6, train_loss_epoch=2.21e+6]Epoch 574/3000:  19%|█▉        | 573/3000 [04:07<20:31,  1.97it/s, v_num=1, train_loss_step=2.22e+6, train_loss_epoch=2.21e+6]Epoch 574/3000:  19%|█▉        | 574/3000 [04:08<18:22,  2.20it/s, v_num=1, train_loss_step=2.22e+6, train_loss_epoch=2.21e+6]Epoch 574/3000:  19%|█▉        | 574/3000 [04:08<18:22,  2.20it/s, v_num=1, train_loss_step=2.2e+6, train_loss_epoch=2.2e+6]  Epoch 575/3000:  19%|█▉        | 574/3000 [04:08<18:22,  2.20it/s, v_num=1, train_loss_step=2.2e+6, train_loss_epoch=2.2e+6]Epoch 575/3000:  19%|█▉        | 575/3000 [04:08<21:16,  1.90it/s, v_num=1, train_loss_step=2.2e+6, train_loss_epoch=2.2e+6]Epoch 575/3000:  19%|█▉        | 575/3000 [04:08<21:16,  1.90it/s, v_num=1, train_loss_step=2.24e+6, train_loss_epoch=2.2e+6]Epoch 576/3000:  19%|█▉        | 575/3000 [04:08<21:16,  1.90it/s, v_num=1, train_loss_step=2.24e+6, train_loss_epoch=2.2e+6]Epoch 576/3000:  19%|█▉        | 576/3000 [04:09<21:59,  1.84it/s, v_num=1, train_loss_step=2.24e+6, train_loss_epoch=2.2e+6]Epoch 576/3000:  19%|█▉        | 576/3000 [04:09<21:59,  1.84it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.2e+6]Epoch 577/3000:  19%|█▉        | 576/3000 [04:09<21:59,  1.84it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.2e+6]Epoch 577/3000:  19%|█▉        | 577/3000 [04:10<22:07,  1.83it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.2e+6]Epoch 577/3000:  19%|█▉        | 577/3000 [04:10<22:07,  1.83it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.19e+6]Epoch 578/3000:  19%|█▉        | 577/3000 [04:10<22:07,  1.83it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.19e+6]Epoch 578/3000:  19%|█▉        | 578/3000 [04:10<19:55,  2.03it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.19e+6]Epoch 578/3000:  19%|█▉        | 578/3000 [04:10<19:55,  2.03it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.19e+6]Epoch 579/3000:  19%|█▉        | 578/3000 [04:10<19:55,  2.03it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.19e+6]Epoch 579/3000:  19%|█▉        | 579/3000 [04:10<20:07,  2.01it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.19e+6]Epoch 579/3000:  19%|█▉        | 579/3000 [04:10<20:07,  2.01it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.19e+6]Epoch 580/3000:  19%|█▉        | 579/3000 [04:10<20:07,  2.01it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.19e+6]Epoch 580/3000:  19%|█▉        | 580/3000 [04:11<18:25,  2.19it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.19e+6]Epoch 580/3000:  19%|█▉        | 580/3000 [04:11<18:25,  2.19it/s, v_num=1, train_loss_step=2.16e+6, train_loss_epoch=2.19e+6]Epoch 581/3000:  19%|█▉        | 580/3000 [04:11<18:25,  2.19it/s, v_num=1, train_loss_step=2.16e+6, train_loss_epoch=2.19e+6]Epoch 581/3000:  19%|█▉        | 581/3000 [04:11<17:21,  2.32it/s, v_num=1, train_loss_step=2.16e+6, train_loss_epoch=2.19e+6]Epoch 581/3000:  19%|█▉        | 581/3000 [04:11<17:21,  2.32it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.18e+6]Epoch 582/3000:  19%|█▉        | 581/3000 [04:11<17:21,  2.32it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.18e+6]Epoch 582/3000:  19%|█▉        | 582/3000 [04:12<18:11,  2.22it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.18e+6]Epoch 582/3000:  19%|█▉        | 582/3000 [04:12<18:11,  2.22it/s, v_num=1, train_loss_step=2.26e+6, train_loss_epoch=2.18e+6]Epoch 583/3000:  19%|█▉        | 582/3000 [04:12<18:11,  2.22it/s, v_num=1, train_loss_step=2.26e+6, train_loss_epoch=2.18e+6]Epoch 583/3000:  19%|█▉        | 583/3000 [04:12<16:29,  2.44it/s, v_num=1, train_loss_step=2.26e+6, train_loss_epoch=2.18e+6]Epoch 583/3000:  19%|█▉        | 583/3000 [04:12<16:29,  2.44it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.18e+6]Epoch 584/3000:  19%|█▉        | 583/3000 [04:12<16:29,  2.44it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.18e+6]Epoch 584/3000:  19%|█▉        | 584/3000 [04:13<18:32,  2.17it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.18e+6]Epoch 584/3000:  19%|█▉        | 584/3000 [04:13<18:32,  2.17it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.17e+6]Epoch 585/3000:  19%|█▉        | 584/3000 [04:13<18:32,  2.17it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.17e+6]Epoch 585/3000:  20%|█▉        | 585/3000 [04:13<15:49,  2.54it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.17e+6]Epoch 585/3000:  20%|█▉        | 585/3000 [04:13<15:49,  2.54it/s, v_num=1, train_loss_step=2.11e+6, train_loss_epoch=2.17e+6]Epoch 586/3000:  20%|█▉        | 585/3000 [04:13<15:49,  2.54it/s, v_num=1, train_loss_step=2.11e+6, train_loss_epoch=2.17e+6]Epoch 586/3000:  20%|█▉        | 586/3000 [04:13<18:37,  2.16it/s, v_num=1, train_loss_step=2.11e+6, train_loss_epoch=2.17e+6]Epoch 586/3000:  20%|█▉        | 586/3000 [04:13<18:37,  2.16it/s, v_num=1, train_loss_step=2.13e+6, train_loss_epoch=2.17e+6]Epoch 587/3000:  20%|█▉        | 586/3000 [04:13<18:37,  2.16it/s, v_num=1, train_loss_step=2.13e+6, train_loss_epoch=2.17e+6]Epoch 587/3000:  20%|█▉        | 587/3000 [04:14<19:54,  2.02it/s, v_num=1, train_loss_step=2.13e+6, train_loss_epoch=2.17e+6]Epoch 587/3000:  20%|█▉        | 587/3000 [04:14<19:54,  2.02it/s, v_num=1, train_loss_step=2.15e+6, train_loss_epoch=2.16e+6]Epoch 588/3000:  20%|█▉        | 587/3000 [04:14<19:54,  2.02it/s, v_num=1, train_loss_step=2.15e+6, train_loss_epoch=2.16e+6]Epoch 588/3000:  20%|█▉        | 588/3000 [04:14<20:05,  2.00it/s, v_num=1, train_loss_step=2.15e+6, train_loss_epoch=2.16e+6]Epoch 588/3000:  20%|█▉        | 588/3000 [04:14<20:05,  2.00it/s, v_num=1, train_loss_step=2.06e+6, train_loss_epoch=2.16e+6]Epoch 589/3000:  20%|█▉        | 588/3000 [04:15<20:05,  2.00it/s, v_num=1, train_loss_step=2.06e+6, train_loss_epoch=2.16e+6]Epoch 589/3000:  20%|█▉        | 589/3000 [04:15<21:14,  1.89it/s, v_num=1, train_loss_step=2.06e+6, train_loss_epoch=2.16e+6]Epoch 589/3000:  20%|█▉        | 589/3000 [04:15<21:14,  1.89it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.16e+6]Epoch 590/3000:  20%|█▉        | 589/3000 [04:15<21:14,  1.89it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.16e+6]Epoch 590/3000:  20%|█▉        | 590/3000 [04:16<22:36,  1.78it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.16e+6]Epoch 590/3000:  20%|█▉        | 590/3000 [04:16<22:36,  1.78it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.16e+6]Epoch 591/3000:  20%|█▉        | 590/3000 [04:16<22:36,  1.78it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.16e+6]Epoch 591/3000:  20%|█▉        | 591/3000 [04:16<19:46,  2.03it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.16e+6]Epoch 591/3000:  20%|█▉        | 591/3000 [04:16<19:46,  2.03it/s, v_num=1, train_loss_step=2.13e+6, train_loss_epoch=2.15e+6]Epoch 592/3000:  20%|█▉        | 591/3000 [04:16<19:46,  2.03it/s, v_num=1, train_loss_step=2.13e+6, train_loss_epoch=2.15e+6]Epoch 592/3000:  20%|█▉        | 592/3000 [04:17<20:42,  1.94it/s, v_num=1, train_loss_step=2.13e+6, train_loss_epoch=2.15e+6]Epoch 592/3000:  20%|█▉        | 592/3000 [04:17<20:42,  1.94it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.15e+6]Epoch 593/3000:  20%|█▉        | 592/3000 [04:17<20:42,  1.94it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.15e+6]Epoch 593/3000:  20%|█▉        | 593/3000 [04:17<20:37,  1.94it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.15e+6]Epoch 593/3000:  20%|█▉        | 593/3000 [04:17<20:37,  1.94it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.15e+6]Epoch 594/3000:  20%|█▉        | 593/3000 [04:17<20:37,  1.94it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.15e+6]Epoch 594/3000:  20%|█▉        | 594/3000 [04:18<19:05,  2.10it/s, v_num=1, train_loss_step=2.18e+6, train_loss_epoch=2.15e+6]Epoch 594/3000:  20%|█▉        | 594/3000 [04:18<19:05,  2.10it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.14e+6]Epoch 595/3000:  20%|█▉        | 594/3000 [04:18<19:05,  2.10it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.14e+6]Epoch 595/3000:  20%|█▉        | 595/3000 [04:18<18:59,  2.11it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.14e+6]Epoch 595/3000:  20%|█▉        | 595/3000 [04:18<18:59,  2.11it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.14e+6]Epoch 596/3000:  20%|█▉        | 595/3000 [04:18<18:59,  2.11it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.14e+6]Epoch 596/3000:  20%|█▉        | 596/3000 [04:18<18:53,  2.12it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.14e+6]Epoch 596/3000:  20%|█▉        | 596/3000 [04:18<18:53,  2.12it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.14e+6]Epoch 597/3000:  20%|█▉        | 596/3000 [04:18<18:53,  2.12it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.14e+6]Epoch 597/3000:  20%|█▉        | 597/3000 [04:19<20:08,  1.99it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.14e+6]Epoch 597/3000:  20%|█▉        | 597/3000 [04:19<20:08,  1.99it/s, v_num=1, train_loss_step=2.15e+6, train_loss_epoch=2.14e+6]Epoch 598/3000:  20%|█▉        | 597/3000 [04:19<20:08,  1.99it/s, v_num=1, train_loss_step=2.15e+6, train_loss_epoch=2.14e+6]Epoch 598/3000:  20%|█▉        | 598/3000 [04:20<20:47,  1.92it/s, v_num=1, train_loss_step=2.15e+6, train_loss_epoch=2.14e+6]Epoch 598/3000:  20%|█▉        | 598/3000 [04:20<20:47,  1.92it/s, v_num=1, train_loss_step=2.09e+6, train_loss_epoch=2.13e+6]Epoch 599/3000:  20%|█▉        | 598/3000 [04:20<20:47,  1.92it/s, v_num=1, train_loss_step=2.09e+6, train_loss_epoch=2.13e+6]Epoch 599/3000:  20%|█▉        | 599/3000 [04:20<20:46,  1.93it/s, v_num=1, train_loss_step=2.09e+6, train_loss_epoch=2.13e+6]Epoch 599/3000:  20%|█▉        | 599/3000 [04:20<20:46,  1.93it/s, v_num=1, train_loss_step=2.09e+6, train_loss_epoch=2.13e+6]Epoch 600/3000:  20%|█▉        | 599/3000 [04:20<20:46,  1.93it/s, v_num=1, train_loss_step=2.09e+6, train_loss_epoch=2.13e+6]Epoch 600/3000:  20%|██        | 600/3000 [04:21<20:25,  1.96it/s, v_num=1, train_loss_step=2.09e+6, train_loss_epoch=2.13e+6]Epoch 600/3000:  20%|██        | 600/3000 [04:21<20:25,  1.96it/s, v_num=1, train_loss_step=2.22e+6, train_loss_epoch=2.13e+6]Epoch 601/3000:  20%|██        | 600/3000 [04:21<20:25,  1.96it/s, v_num=1, train_loss_step=2.22e+6, train_loss_epoch=2.13e+6]Epoch 601/3000:  20%|██        | 601/3000 [04:21<18:33,  2.15it/s, v_num=1, train_loss_step=2.22e+6, train_loss_epoch=2.13e+6]Epoch 601/3000:  20%|██        | 601/3000 [04:21<18:33,  2.15it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.12e+6]Epoch 602/3000:  20%|██        | 601/3000 [04:21<18:33,  2.15it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.12e+6]Epoch 602/3000:  20%|██        | 602/3000 [04:21<17:47,  2.25it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.12e+6]Epoch 602/3000:  20%|██        | 602/3000 [04:21<17:47,  2.25it/s, v_num=1, train_loss_step=2.1e+6, train_loss_epoch=2.12e+6] Epoch 603/3000:  20%|██        | 602/3000 [04:21<17:47,  2.25it/s, v_num=1, train_loss_step=2.1e+6, train_loss_epoch=2.12e+6]Epoch 603/3000:  20%|██        | 603/3000 [04:22<17:14,  2.32it/s, v_num=1, train_loss_step=2.1e+6, train_loss_epoch=2.12e+6]Epoch 603/3000:  20%|██        | 603/3000 [04:22<17:14,  2.32it/s, v_num=1, train_loss_step=2.11e+6, train_loss_epoch=2.12e+6]Epoch 604/3000:  20%|██        | 603/3000 [04:22<17:14,  2.32it/s, v_num=1, train_loss_step=2.11e+6, train_loss_epoch=2.12e+6]Epoch 604/3000:  20%|██        | 604/3000 [04:22<16:24,  2.43it/s, v_num=1, train_loss_step=2.11e+6, train_loss_epoch=2.12e+6]Epoch 604/3000:  20%|██        | 604/3000 [04:22<16:24,  2.43it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.12e+6]Epoch 605/3000:  20%|██        | 604/3000 [04:22<16:24,  2.43it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.12e+6]Epoch 605/3000:  20%|██        | 605/3000 [04:23<16:45,  2.38it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.12e+6]Epoch 605/3000:  20%|██        | 605/3000 [04:23<16:45,  2.38it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.11e+6]Epoch 606/3000:  20%|██        | 605/3000 [04:23<16:45,  2.38it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.11e+6]Epoch 606/3000:  20%|██        | 606/3000 [04:23<13:27,  2.97it/s, v_num=1, train_loss_step=2.14e+6, train_loss_epoch=2.11e+6]Epoch 606/3000:  20%|██        | 606/3000 [04:23<13:27,  2.97it/s, v_num=1, train_loss_step=2.15e+6, train_loss_epoch=2.11e+6]Epoch 607/3000:  20%|██        | 606/3000 [04:23<13:27,  2.97it/s, v_num=1, train_loss_step=2.15e+6, train_loss_epoch=2.11e+6]Epoch 607/3000:  20%|██        | 607/3000 [04:23<12:23,  3.22it/s, v_num=1, train_loss_step=2.15e+6, train_loss_epoch=2.11e+6]Epoch 607/3000:  20%|██        | 607/3000 [04:23<12:23,  3.22it/s, v_num=1, train_loss_step=2.16e+6, train_loss_epoch=2.11e+6]Epoch 608/3000:  20%|██        | 607/3000 [04:23<12:23,  3.22it/s, v_num=1, train_loss_step=2.16e+6, train_loss_epoch=2.11e+6]Epoch 608/3000:  20%|██        | 608/3000 [04:23<12:14,  3.26it/s, v_num=1, train_loss_step=2.16e+6, train_loss_epoch=2.11e+6]Epoch 608/3000:  20%|██        | 608/3000 [04:23<12:14,  3.26it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.11e+6]Epoch 609/3000:  20%|██        | 608/3000 [04:23<12:14,  3.26it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.11e+6]Epoch 609/3000:  20%|██        | 609/3000 [04:23<10:53,  3.66it/s, v_num=1, train_loss_step=2.17e+6, train_loss_epoch=2.11e+6]Epoch 609/3000:  20%|██        | 609/3000 [04:23<10:53,  3.66it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.1e+6] Epoch 610/3000:  20%|██        | 609/3000 [04:23<10:53,  3.66it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.1e+6]Epoch 610/3000:  20%|██        | 610/3000 [04:24<09:41,  4.11it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.1e+6]Epoch 610/3000:  20%|██        | 610/3000 [04:24<09:41,  4.11it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=2.1e+6]Epoch 611/3000:  20%|██        | 610/3000 [04:24<09:41,  4.11it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=2.1e+6]Epoch 611/3000:  20%|██        | 611/3000 [04:24<14:10,  2.81it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=2.1e+6]Epoch 611/3000:  20%|██        | 611/3000 [04:24<14:10,  2.81it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.1e+6]Epoch 612/3000:  20%|██        | 611/3000 [04:24<14:10,  2.81it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.1e+6]Epoch 612/3000:  20%|██        | 612/3000 [04:25<13:44,  2.90it/s, v_num=1, train_loss_step=2.19e+6, train_loss_epoch=2.1e+6]Epoch 612/3000:  20%|██        | 612/3000 [04:25<13:44,  2.90it/s, v_num=1, train_loss_step=2.12e+6, train_loss_epoch=2.09e+6]Epoch 613/3000:  20%|██        | 612/3000 [04:25<13:44,  2.90it/s, v_num=1, train_loss_step=2.12e+6, train_loss_epoch=2.09e+6]Epoch 613/3000:  20%|██        | 613/3000 [04:25<15:23,  2.58it/s, v_num=1, train_loss_step=2.12e+6, train_loss_epoch=2.09e+6]Epoch 613/3000:  20%|██        | 613/3000 [04:25<15:23,  2.58it/s, v_num=1, train_loss_step=2.15e+6, train_loss_epoch=2.09e+6]Epoch 614/3000:  20%|██        | 613/3000 [04:25<15:23,  2.58it/s, v_num=1, train_loss_step=2.15e+6, train_loss_epoch=2.09e+6]Epoch 614/3000:  20%|██        | 614/3000 [04:25<15:56,  2.50it/s, v_num=1, train_loss_step=2.15e+6, train_loss_epoch=2.09e+6]Epoch 614/3000:  20%|██        | 614/3000 [04:25<15:56,  2.50it/s, v_num=1, train_loss_step=2.05e+6, train_loss_epoch=2.09e+6]Epoch 615/3000:  20%|██        | 614/3000 [04:25<15:56,  2.50it/s, v_num=1, train_loss_step=2.05e+6, train_loss_epoch=2.09e+6]Epoch 615/3000:  20%|██        | 615/3000 [04:26<16:39,  2.39it/s, v_num=1, train_loss_step=2.05e+6, train_loss_epoch=2.09e+6]Epoch 615/3000:  20%|██        | 615/3000 [04:26<16:39,  2.39it/s, v_num=1, train_loss_step=2.09e+6, train_loss_epoch=2.09e+6]Epoch 616/3000:  20%|██        | 615/3000 [04:26<16:39,  2.39it/s, v_num=1, train_loss_step=2.09e+6, train_loss_epoch=2.09e+6]Epoch 616/3000:  21%|██        | 616/3000 [04:26<17:34,  2.26it/s, v_num=1, train_loss_step=2.09e+6, train_loss_epoch=2.09e+6]Epoch 616/3000:  21%|██        | 616/3000 [04:26<17:34,  2.26it/s, v_num=1, train_loss_step=2.16e+6, train_loss_epoch=2.08e+6]Epoch 617/3000:  21%|██        | 616/3000 [04:26<17:34,  2.26it/s, v_num=1, train_loss_step=2.16e+6, train_loss_epoch=2.08e+6]Epoch 617/3000:  21%|██        | 617/3000 [04:27<16:33,  2.40it/s, v_num=1, train_loss_step=2.16e+6, train_loss_epoch=2.08e+6]Epoch 617/3000:  21%|██        | 617/3000 [04:27<16:33,  2.40it/s, v_num=1, train_loss_step=2.11e+6, train_loss_epoch=2.08e+6]Epoch 618/3000:  21%|██        | 617/3000 [04:27<16:33,  2.40it/s, v_num=1, train_loss_step=2.11e+6, train_loss_epoch=2.08e+6]Epoch 618/3000:  21%|██        | 618/3000 [04:27<15:54,  2.50it/s, v_num=1, train_loss_step=2.11e+6, train_loss_epoch=2.08e+6]Epoch 618/3000:  21%|██        | 618/3000 [04:27<15:54,  2.50it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=2.08e+6]Epoch 619/3000:  21%|██        | 618/3000 [04:27<15:54,  2.50it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=2.08e+6]Epoch 619/3000:  21%|██        | 619/3000 [04:28<16:31,  2.40it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=2.08e+6]Epoch 619/3000:  21%|██        | 619/3000 [04:28<16:31,  2.40it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=2.08e+6]Epoch 620/3000:  21%|██        | 619/3000 [04:28<16:31,  2.40it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=2.08e+6]Epoch 620/3000:  21%|██        | 620/3000 [04:28<17:17,  2.29it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=2.08e+6]Epoch 620/3000:  21%|██        | 620/3000 [04:28<17:17,  2.29it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=2.07e+6]Epoch 621/3000:  21%|██        | 620/3000 [04:28<17:17,  2.29it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=2.07e+6]Epoch 621/3000:  21%|██        | 621/3000 [04:28<15:47,  2.51it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=2.07e+6]Epoch 621/3000:  21%|██        | 621/3000 [04:28<15:47,  2.51it/s, v_num=1, train_loss_step=2.02e+6, train_loss_epoch=2.07e+6]Epoch 622/3000:  21%|██        | 621/3000 [04:28<15:47,  2.51it/s, v_num=1, train_loss_step=2.02e+6, train_loss_epoch=2.07e+6]Epoch 622/3000:  21%|██        | 622/3000 [04:29<14:08,  2.80it/s, v_num=1, train_loss_step=2.02e+6, train_loss_epoch=2.07e+6]Epoch 622/3000:  21%|██        | 622/3000 [04:29<14:08,  2.80it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=2.07e+6]   Epoch 623/3000:  21%|██        | 622/3000 [04:29<14:08,  2.80it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=2.07e+6]Epoch 623/3000:  21%|██        | 623/3000 [04:29<14:35,  2.71it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=2.07e+6]Epoch 623/3000:  21%|██        | 623/3000 [04:29<14:35,  2.71it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=2.07e+6]Epoch 624/3000:  21%|██        | 623/3000 [04:29<14:35,  2.71it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=2.07e+6]Epoch 624/3000:  21%|██        | 624/3000 [04:30<16:44,  2.36it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=2.07e+6]Epoch 624/3000:  21%|██        | 624/3000 [04:30<16:44,  2.36it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=2.06e+6]Epoch 625/3000:  21%|██        | 624/3000 [04:30<16:44,  2.36it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=2.06e+6]Epoch 625/3000:  21%|██        | 625/3000 [04:30<19:19,  2.05it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=2.06e+6]Epoch 625/3000:  21%|██        | 625/3000 [04:30<19:19,  2.05it/s, v_num=1, train_loss_step=2.06e+6, train_loss_epoch=2.06e+6]Epoch 626/3000:  21%|██        | 625/3000 [04:30<19:19,  2.05it/s, v_num=1, train_loss_step=2.06e+6, train_loss_epoch=2.06e+6]Epoch 626/3000:  21%|██        | 626/3000 [04:31<20:05,  1.97it/s, v_num=1, train_loss_step=2.06e+6, train_loss_epoch=2.06e+6]Epoch 626/3000:  21%|██        | 626/3000 [04:31<20:05,  1.97it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=2.06e+6]Epoch 627/3000:  21%|██        | 626/3000 [04:31<20:05,  1.97it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=2.06e+6]Epoch 627/3000:  21%|██        | 627/3000 [04:31<18:41,  2.12it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=2.06e+6]Epoch 627/3000:  21%|██        | 627/3000 [04:31<18:41,  2.12it/s, v_num=1, train_loss_step=2.04e+6, train_loss_epoch=2.06e+6]Epoch 628/3000:  21%|██        | 627/3000 [04:31<18:41,  2.12it/s, v_num=1, train_loss_step=2.04e+6, train_loss_epoch=2.06e+6]Epoch 628/3000:  21%|██        | 628/3000 [04:32<19:00,  2.08it/s, v_num=1, train_loss_step=2.04e+6, train_loss_epoch=2.06e+6]Epoch 628/3000:  21%|██        | 628/3000 [04:32<19:00,  2.08it/s, v_num=1, train_loss_step=2.13e+6, train_loss_epoch=2.05e+6]Epoch 629/3000:  21%|██        | 628/3000 [04:32<19:00,  2.08it/s, v_num=1, train_loss_step=2.13e+6, train_loss_epoch=2.05e+6]Epoch 629/3000:  21%|██        | 629/3000 [04:32<20:21,  1.94it/s, v_num=1, train_loss_step=2.13e+6, train_loss_epoch=2.05e+6]Epoch 629/3000:  21%|██        | 629/3000 [04:32<20:21,  1.94it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=2.05e+6]Epoch 630/3000:  21%|██        | 629/3000 [04:32<20:21,  1.94it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=2.05e+6]Epoch 630/3000:  21%|██        | 630/3000 [04:33<19:52,  1.99it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=2.05e+6]Epoch 630/3000:  21%|██        | 630/3000 [04:33<19:52,  1.99it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=2.05e+6]Epoch 631/3000:  21%|██        | 630/3000 [04:33<19:52,  1.99it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=2.05e+6]Epoch 631/3000:  21%|██        | 631/3000 [04:33<18:30,  2.13it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=2.05e+6]Epoch 631/3000:  21%|██        | 631/3000 [04:33<18:30,  2.13it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=2.05e+6]Epoch 632/3000:  21%|██        | 631/3000 [04:33<18:30,  2.13it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=2.05e+6]Epoch 632/3000:  21%|██        | 632/3000 [04:34<17:21,  2.27it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=2.05e+6]Epoch 632/3000:  21%|██        | 632/3000 [04:34<17:21,  2.27it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.04e+6]Epoch 633/3000:  21%|██        | 632/3000 [04:34<17:21,  2.27it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.04e+6]Epoch 633/3000:  21%|██        | 633/3000 [04:34<18:49,  2.10it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.04e+6]Epoch 633/3000:  21%|██        | 633/3000 [04:34<18:49,  2.10it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=2.04e+6]Epoch 634/3000:  21%|██        | 633/3000 [04:34<18:49,  2.10it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=2.04e+6]Epoch 634/3000:  21%|██        | 634/3000 [04:35<19:53,  1.98it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=2.04e+6]Epoch 634/3000:  21%|██        | 634/3000 [04:35<19:53,  1.98it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=2.04e+6]Epoch 635/3000:  21%|██        | 634/3000 [04:35<19:53,  1.98it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=2.04e+6]Epoch 635/3000:  21%|██        | 635/3000 [04:35<19:13,  2.05it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=2.04e+6]Epoch 635/3000:  21%|██        | 635/3000 [04:35<19:13,  2.05it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.04e+6]Epoch 636/3000:  21%|██        | 635/3000 [04:35<19:13,  2.05it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.04e+6]Epoch 636/3000:  21%|██        | 636/3000 [04:36<20:15,  1.95it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.04e+6]Epoch 636/3000:  21%|██        | 636/3000 [04:36<20:15,  1.95it/s, v_num=1, train_loss_step=2.02e+6, train_loss_epoch=2.03e+6]Epoch 637/3000:  21%|██        | 636/3000 [04:36<20:15,  1.95it/s, v_num=1, train_loss_step=2.02e+6, train_loss_epoch=2.03e+6]Epoch 637/3000:  21%|██        | 637/3000 [04:36<20:07,  1.96it/s, v_num=1, train_loss_step=2.02e+6, train_loss_epoch=2.03e+6]Epoch 637/3000:  21%|██        | 637/3000 [04:36<20:07,  1.96it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=2.03e+6]Epoch 638/3000:  21%|██        | 637/3000 [04:36<20:07,  1.96it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=2.03e+6]Epoch 638/3000:  21%|██▏       | 638/3000 [04:37<20:04,  1.96it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=2.03e+6]Epoch 638/3000:  21%|██▏       | 638/3000 [04:37<20:04,  1.96it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=2.03e+6]Epoch 639/3000:  21%|██▏       | 638/3000 [04:37<20:04,  1.96it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=2.03e+6]Epoch 639/3000:  21%|██▏       | 639/3000 [04:37<19:03,  2.06it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=2.03e+6]Epoch 639/3000:  21%|██▏       | 639/3000 [04:37<19:03,  2.06it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.03e+6]Epoch 640/3000:  21%|██▏       | 639/3000 [04:37<19:03,  2.06it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.03e+6]Epoch 640/3000:  21%|██▏       | 640/3000 [04:37<17:21,  2.27it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2.03e+6]Epoch 640/3000:  21%|██▏       | 640/3000 [04:37<17:21,  2.27it/s, v_num=1, train_loss_step=1.98e+6, train_loss_epoch=2.02e+6]Epoch 641/3000:  21%|██▏       | 640/3000 [04:37<17:21,  2.27it/s, v_num=1, train_loss_step=1.98e+6, train_loss_epoch=2.02e+6]Epoch 641/3000:  21%|██▏       | 641/3000 [04:38<15:21,  2.56it/s, v_num=1, train_loss_step=1.98e+6, train_loss_epoch=2.02e+6]Epoch 641/3000:  21%|██▏       | 641/3000 [04:38<15:21,  2.56it/s, v_num=1, train_loss_step=2.16e+6, train_loss_epoch=2.02e+6]Epoch 642/3000:  21%|██▏       | 641/3000 [04:38<15:21,  2.56it/s, v_num=1, train_loss_step=2.16e+6, train_loss_epoch=2.02e+6]Epoch 642/3000:  21%|██▏       | 642/3000 [04:38<15:20,  2.56it/s, v_num=1, train_loss_step=2.16e+6, train_loss_epoch=2.02e+6]Epoch 642/3000:  21%|██▏       | 642/3000 [04:38<15:20,  2.56it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=2.02e+6]Epoch 643/3000:  21%|██▏       | 642/3000 [04:38<15:20,  2.56it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=2.02e+6]Epoch 643/3000:  21%|██▏       | 643/3000 [04:38<13:27,  2.92it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=2.02e+6]Epoch 643/3000:  21%|██▏       | 643/3000 [04:38<13:27,  2.92it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=2.02e+6]Epoch 644/3000:  21%|██▏       | 643/3000 [04:38<13:27,  2.92it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=2.02e+6]Epoch 644/3000:  21%|██▏       | 644/3000 [04:39<15:19,  2.56it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=2.02e+6]Epoch 644/3000:  21%|██▏       | 644/3000 [04:39<15:19,  2.56it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=2.01e+6]Epoch 645/3000:  21%|██▏       | 644/3000 [04:39<15:19,  2.56it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=2.01e+6]Epoch 645/3000:  22%|██▏       | 645/3000 [04:39<16:15,  2.41it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=2.01e+6]Epoch 645/3000:  22%|██▏       | 645/3000 [04:39<16:15,  2.41it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=2.01e+6]Epoch 646/3000:  22%|██▏       | 645/3000 [04:39<16:15,  2.41it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=2.01e+6]Epoch 646/3000:  22%|██▏       | 646/3000 [04:40<17:37,  2.23it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=2.01e+6]Epoch 646/3000:  22%|██▏       | 646/3000 [04:40<17:37,  2.23it/s, v_num=1, train_loss_step=1.95e+6, train_loss_epoch=2.01e+6]Epoch 647/3000:  22%|██▏       | 646/3000 [04:40<17:37,  2.23it/s, v_num=1, train_loss_step=1.95e+6, train_loss_epoch=2.01e+6]Epoch 647/3000:  22%|██▏       | 647/3000 [04:40<19:08,  2.05it/s, v_num=1, train_loss_step=1.95e+6, train_loss_epoch=2.01e+6]Epoch 647/3000:  22%|██▏       | 647/3000 [04:40<19:08,  2.05it/s, v_num=1, train_loss_step=2.02e+6, train_loss_epoch=2.01e+6]Epoch 648/3000:  22%|██▏       | 647/3000 [04:40<19:08,  2.05it/s, v_num=1, train_loss_step=2.02e+6, train_loss_epoch=2.01e+6]Epoch 648/3000:  22%|██▏       | 648/3000 [04:41<20:03,  1.95it/s, v_num=1, train_loss_step=2.02e+6, train_loss_epoch=2.01e+6]Epoch 648/3000:  22%|██▏       | 648/3000 [04:41<20:03,  1.95it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=2e+6]      Epoch 649/3000:  22%|██▏       | 648/3000 [04:41<20:03,  1.95it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=2e+6]Epoch 649/3000:  22%|██▏       | 649/3000 [04:42<20:00,  1.96it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=2e+6]Epoch 649/3000:  22%|██▏       | 649/3000 [04:42<20:00,  1.96it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2e+6]Epoch 650/3000:  22%|██▏       | 649/3000 [04:42<20:00,  1.96it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2e+6]Epoch 650/3000:  22%|██▏       | 650/3000 [04:42<20:15,  1.93it/s, v_num=1, train_loss_step=2.03e+6, train_loss_epoch=2e+6]Epoch 650/3000:  22%|██▏       | 650/3000 [04:42<20:15,  1.93it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=2e+6]Epoch 651/3000:  22%|██▏       | 650/3000 [04:42<20:15,  1.93it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=2e+6]Epoch 651/3000:  22%|██▏       | 651/3000 [04:43<19:38,  1.99it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=2e+6]Epoch 651/3000:  22%|██▏       | 651/3000 [04:43<19:38,  1.99it/s, v_num=1, train_loss_step=1.98e+6, train_loss_epoch=2e+6]Epoch 652/3000:  22%|██▏       | 651/3000 [04:43<19:38,  1.99it/s, v_num=1, train_loss_step=1.98e+6, train_loss_epoch=2e+6]Epoch 652/3000:  22%|██▏       | 652/3000 [04:43<17:43,  2.21it/s, v_num=1, train_loss_step=1.98e+6, train_loss_epoch=2e+6]Epoch 652/3000:  22%|██▏       | 652/3000 [04:43<17:43,  2.21it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=2e+6]Epoch 653/3000:  22%|██▏       | 652/3000 [04:43<17:43,  2.21it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=2e+6]Epoch 653/3000:  22%|██▏       | 653/3000 [04:43<15:56,  2.45it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=2e+6]Epoch 653/3000:  22%|██▏       | 653/3000 [04:43<15:56,  2.45it/s, v_num=1, train_loss_step=1.95e+6, train_loss_epoch=1.99e+6]Epoch 654/3000:  22%|██▏       | 653/3000 [04:43<15:56,  2.45it/s, v_num=1, train_loss_step=1.95e+6, train_loss_epoch=1.99e+6]Epoch 654/3000:  22%|██▏       | 654/3000 [04:43<14:44,  2.65it/s, v_num=1, train_loss_step=1.95e+6, train_loss_epoch=1.99e+6]Epoch 654/3000:  22%|██▏       | 654/3000 [04:43<14:44,  2.65it/s, v_num=1, train_loss_step=1.95e+6, train_loss_epoch=1.99e+6]Epoch 655/3000:  22%|██▏       | 654/3000 [04:43<14:44,  2.65it/s, v_num=1, train_loss_step=1.95e+6, train_loss_epoch=1.99e+6]Epoch 655/3000:  22%|██▏       | 655/3000 [04:44<14:49,  2.64it/s, v_num=1, train_loss_step=1.95e+6, train_loss_epoch=1.99e+6]Epoch 655/3000:  22%|██▏       | 655/3000 [04:44<14:49,  2.64it/s, v_num=1, train_loss_step=1.88e+6, train_loss_epoch=1.99e+6]Epoch 656/3000:  22%|██▏       | 655/3000 [04:44<14:49,  2.64it/s, v_num=1, train_loss_step=1.88e+6, train_loss_epoch=1.99e+6]Epoch 656/3000:  22%|██▏       | 656/3000 [04:44<15:17,  2.55it/s, v_num=1, train_loss_step=1.88e+6, train_loss_epoch=1.99e+6]Epoch 656/3000:  22%|██▏       | 656/3000 [04:44<15:17,  2.55it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=1.99e+6]Epoch 657/3000:  22%|██▏       | 656/3000 [04:44<15:17,  2.55it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=1.99e+6]Epoch 657/3000:  22%|██▏       | 657/3000 [04:45<17:33,  2.23it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=1.99e+6]Epoch 657/3000:  22%|██▏       | 657/3000 [04:45<17:33,  2.23it/s, v_num=1, train_loss_step=2.12e+6, train_loss_epoch=1.98e+6]Epoch 658/3000:  22%|██▏       | 657/3000 [04:45<17:33,  2.23it/s, v_num=1, train_loss_step=2.12e+6, train_loss_epoch=1.98e+6]Epoch 658/3000:  22%|██▏       | 658/3000 [04:45<18:25,  2.12it/s, v_num=1, train_loss_step=2.12e+6, train_loss_epoch=1.98e+6]Epoch 658/3000:  22%|██▏       | 658/3000 [04:45<18:25,  2.12it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=1.98e+6]Epoch 659/3000:  22%|██▏       | 658/3000 [04:45<18:25,  2.12it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=1.98e+6]Epoch 659/3000:  22%|██▏       | 659/3000 [04:46<16:28,  2.37it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=1.98e+6]Epoch 659/3000:  22%|██▏       | 659/3000 [04:46<16:28,  2.37it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.98e+6]Epoch 660/3000:  22%|██▏       | 659/3000 [04:46<16:28,  2.37it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.98e+6]Epoch 660/3000:  22%|██▏       | 660/3000 [04:46<17:51,  2.18it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.98e+6]Epoch 660/3000:  22%|██▏       | 660/3000 [04:46<17:51,  2.18it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=1.98e+6]Epoch 661/3000:  22%|██▏       | 660/3000 [04:46<17:51,  2.18it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=1.98e+6]Epoch 661/3000:  22%|██▏       | 661/3000 [04:47<17:37,  2.21it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=1.98e+6]Epoch 661/3000:  22%|██▏       | 661/3000 [04:47<17:37,  2.21it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=1.97e+6]Epoch 662/3000:  22%|██▏       | 661/3000 [04:47<17:37,  2.21it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=1.97e+6]Epoch 662/3000:  22%|██▏       | 662/3000 [04:47<17:37,  2.21it/s, v_num=1, train_loss_step=2.07e+6, train_loss_epoch=1.97e+6]Epoch 662/3000:  22%|██▏       | 662/3000 [04:47<17:37,  2.21it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=1.97e+6]   Epoch 663/3000:  22%|██▏       | 662/3000 [04:47<17:37,  2.21it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=1.97e+6]Epoch 663/3000:  22%|██▏       | 663/3000 [04:47<16:27,  2.37it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=1.97e+6]Epoch 663/3000:  22%|██▏       | 663/3000 [04:47<16:27,  2.37it/s, v_num=1, train_loss_step=1.89e+6, train_loss_epoch=1.97e+6]Epoch 664/3000:  22%|██▏       | 663/3000 [04:47<16:27,  2.37it/s, v_num=1, train_loss_step=1.89e+6, train_loss_epoch=1.97e+6]Epoch 664/3000:  22%|██▏       | 664/3000 [04:48<17:52,  2.18it/s, v_num=1, train_loss_step=1.89e+6, train_loss_epoch=1.97e+6]Epoch 664/3000:  22%|██▏       | 664/3000 [04:48<17:52,  2.18it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=1.97e+6]   Epoch 665/3000:  22%|██▏       | 664/3000 [04:48<17:52,  2.18it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=1.97e+6]Epoch 665/3000:  22%|██▏       | 665/3000 [04:48<17:22,  2.24it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=1.97e+6]Epoch 665/3000:  22%|██▏       | 665/3000 [04:48<17:22,  2.24it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=1.97e+6]Epoch 666/3000:  22%|██▏       | 665/3000 [04:48<17:22,  2.24it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=1.97e+6]Epoch 666/3000:  22%|██▏       | 666/3000 [04:49<18:27,  2.11it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=1.97e+6]Epoch 666/3000:  22%|██▏       | 666/3000 [04:49<18:27,  2.11it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=1.96e+6]   Epoch 667/3000:  22%|██▏       | 666/3000 [04:49<18:27,  2.11it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=1.96e+6]Epoch 667/3000:  22%|██▏       | 667/3000 [04:49<17:17,  2.25it/s, v_num=1, train_loss_step=2e+6, train_loss_epoch=1.96e+6]Epoch 667/3000:  22%|██▏       | 667/3000 [04:49<17:17,  2.25it/s, v_num=1, train_loss_step=1.98e+6, train_loss_epoch=1.96e+6]Epoch 668/3000:  22%|██▏       | 667/3000 [04:49<17:17,  2.25it/s, v_num=1, train_loss_step=1.98e+6, train_loss_epoch=1.96e+6]Epoch 668/3000:  22%|██▏       | 668/3000 [04:50<17:56,  2.17it/s, v_num=1, train_loss_step=1.98e+6, train_loss_epoch=1.96e+6]Epoch 668/3000:  22%|██▏       | 668/3000 [04:50<17:56,  2.17it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=1.96e+6]Epoch 669/3000:  22%|██▏       | 668/3000 [04:50<17:56,  2.17it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=1.96e+6]Epoch 669/3000:  22%|██▏       | 669/3000 [04:50<17:34,  2.21it/s, v_num=1, train_loss_step=1.99e+6, train_loss_epoch=1.96e+6]Epoch 669/3000:  22%|██▏       | 669/3000 [04:50<17:34,  2.21it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=1.96e+6]Epoch 670/3000:  22%|██▏       | 669/3000 [04:50<17:34,  2.21it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=1.96e+6]Epoch 670/3000:  22%|██▏       | 670/3000 [04:51<18:23,  2.11it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=1.96e+6]Epoch 670/3000:  22%|██▏       | 670/3000 [04:51<18:23,  2.11it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.95e+6]Epoch 671/3000:  22%|██▏       | 670/3000 [04:51<18:23,  2.11it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.95e+6]Epoch 671/3000:  22%|██▏       | 671/3000 [04:51<19:07,  2.03it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.95e+6]Epoch 671/3000:  22%|██▏       | 671/3000 [04:51<19:07,  2.03it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.95e+6]Epoch 672/3000:  22%|██▏       | 671/3000 [04:51<19:07,  2.03it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.95e+6]Epoch 672/3000:  22%|██▏       | 672/3000 [04:52<21:12,  1.83it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.95e+6]Epoch 672/3000:  22%|██▏       | 672/3000 [04:52<21:12,  1.83it/s, v_num=1, train_loss_step=1.86e+6, train_loss_epoch=1.95e+6]Epoch 673/3000:  22%|██▏       | 672/3000 [04:52<21:12,  1.83it/s, v_num=1, train_loss_step=1.86e+6, train_loss_epoch=1.95e+6]Epoch 673/3000:  22%|██▏       | 673/3000 [04:53<21:31,  1.80it/s, v_num=1, train_loss_step=1.86e+6, train_loss_epoch=1.95e+6]Epoch 673/3000:  22%|██▏       | 673/3000 [04:53<21:31,  1.80it/s, v_num=1, train_loss_step=1.9e+6, train_loss_epoch=1.95e+6] Epoch 674/3000:  22%|██▏       | 673/3000 [04:53<21:31,  1.80it/s, v_num=1, train_loss_step=1.9e+6, train_loss_epoch=1.95e+6]Epoch 674/3000:  22%|██▏       | 674/3000 [04:53<20:35,  1.88it/s, v_num=1, train_loss_step=1.9e+6, train_loss_epoch=1.95e+6]Epoch 674/3000:  22%|██▏       | 674/3000 [04:53<20:35,  1.88it/s, v_num=1, train_loss_step=2.04e+6, train_loss_epoch=1.95e+6]Epoch 675/3000:  22%|██▏       | 674/3000 [04:53<20:35,  1.88it/s, v_num=1, train_loss_step=2.04e+6, train_loss_epoch=1.95e+6]Epoch 675/3000:  22%|██▎       | 675/3000 [04:54<20:04,  1.93it/s, v_num=1, train_loss_step=2.04e+6, train_loss_epoch=1.95e+6]Epoch 675/3000:  22%|██▎       | 675/3000 [04:54<20:04,  1.93it/s, v_num=1, train_loss_step=1.98e+6, train_loss_epoch=1.94e+6]Epoch 676/3000:  22%|██▎       | 675/3000 [04:54<20:04,  1.93it/s, v_num=1, train_loss_step=1.98e+6, train_loss_epoch=1.94e+6]Epoch 676/3000:  23%|██▎       | 676/3000 [04:54<18:14,  2.12it/s, v_num=1, train_loss_step=1.98e+6, train_loss_epoch=1.94e+6]Epoch 676/3000:  23%|██▎       | 676/3000 [04:54<18:14,  2.12it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.94e+6]Epoch 677/3000:  23%|██▎       | 676/3000 [04:54<18:14,  2.12it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.94e+6]Epoch 677/3000:  23%|██▎       | 677/3000 [04:54<19:08,  2.02it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.94e+6]Epoch 677/3000:  23%|██▎       | 677/3000 [04:54<19:08,  2.02it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=1.94e+6]Epoch 678/3000:  23%|██▎       | 677/3000 [04:54<19:08,  2.02it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=1.94e+6]Epoch 678/3000:  23%|██▎       | 678/3000 [04:55<19:58,  1.94it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=1.94e+6]Epoch 678/3000:  23%|██▎       | 678/3000 [04:55<19:58,  1.94it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.94e+6]Epoch 679/3000:  23%|██▎       | 678/3000 [04:55<19:58,  1.94it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.94e+6]Epoch 679/3000:  23%|██▎       | 679/3000 [04:56<20:30,  1.89it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.94e+6]Epoch 679/3000:  23%|██▎       | 679/3000 [04:56<20:30,  1.89it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=1.93e+6]Epoch 680/3000:  23%|██▎       | 679/3000 [04:56<20:30,  1.89it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=1.93e+6]Epoch 680/3000:  23%|██▎       | 680/3000 [04:56<21:36,  1.79it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=1.93e+6]Epoch 680/3000:  23%|██▎       | 680/3000 [04:56<21:36,  1.79it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.93e+6]Epoch 681/3000:  23%|██▎       | 680/3000 [04:56<21:36,  1.79it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.93e+6]Epoch 681/3000:  23%|██▎       | 681/3000 [04:57<19:32,  1.98it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.93e+6]Epoch 681/3000:  23%|██▎       | 681/3000 [04:57<19:32,  1.98it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.93e+6]Epoch 682/3000:  23%|██▎       | 681/3000 [04:57<19:32,  1.98it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.93e+6]Epoch 682/3000:  23%|██▎       | 682/3000 [04:57<20:59,  1.84it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.93e+6]Epoch 682/3000:  23%|██▎       | 682/3000 [04:57<20:59,  1.84it/s, v_num=1, train_loss_step=1.84e+6, train_loss_epoch=1.93e+6]Epoch 683/3000:  23%|██▎       | 682/3000 [04:57<20:59,  1.84it/s, v_num=1, train_loss_step=1.84e+6, train_loss_epoch=1.93e+6]Epoch 683/3000:  23%|██▎       | 683/3000 [04:58<19:32,  1.98it/s, v_num=1, train_loss_step=1.84e+6, train_loss_epoch=1.93e+6]Epoch 683/3000:  23%|██▎       | 683/3000 [04:58<19:32,  1.98it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=1.93e+6]Epoch 684/3000:  23%|██▎       | 683/3000 [04:58<19:32,  1.98it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=1.93e+6]Epoch 684/3000:  23%|██▎       | 684/3000 [04:58<16:59,  2.27it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=1.93e+6]Epoch 684/3000:  23%|██▎       | 684/3000 [04:58<16:59,  2.27it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.92e+6]Epoch 685/3000:  23%|██▎       | 684/3000 [04:58<16:59,  2.27it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.92e+6]Epoch 685/3000:  23%|██▎       | 685/3000 [04:58<14:18,  2.70it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.92e+6]Epoch 685/3000:  23%|██▎       | 685/3000 [04:58<14:18,  2.70it/s, v_num=1, train_loss_step=1.9e+6, train_loss_epoch=1.92e+6] Epoch 686/3000:  23%|██▎       | 685/3000 [04:58<14:18,  2.70it/s, v_num=1, train_loss_step=1.9e+6, train_loss_epoch=1.92e+6]Epoch 686/3000:  23%|██▎       | 686/3000 [04:59<14:23,  2.68it/s, v_num=1, train_loss_step=1.9e+6, train_loss_epoch=1.92e+6]Epoch 686/3000:  23%|██▎       | 686/3000 [04:59<14:23,  2.68it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.92e+6]Epoch 687/3000:  23%|██▎       | 686/3000 [04:59<14:23,  2.68it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.92e+6]Epoch 687/3000:  23%|██▎       | 687/3000 [04:59<16:20,  2.36it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.92e+6]Epoch 687/3000:  23%|██▎       | 687/3000 [04:59<16:20,  2.36it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.92e+6]Epoch 688/3000:  23%|██▎       | 687/3000 [04:59<16:20,  2.36it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.92e+6]Epoch 688/3000:  23%|██▎       | 688/3000 [04:59<15:28,  2.49it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.92e+6]Epoch 688/3000:  23%|██▎       | 688/3000 [04:59<15:28,  2.49it/s, v_num=1, train_loss_step=1.95e+6, train_loss_epoch=1.92e+6]Epoch 689/3000:  23%|██▎       | 688/3000 [04:59<15:28,  2.49it/s, v_num=1, train_loss_step=1.95e+6, train_loss_epoch=1.92e+6]Epoch 689/3000:  23%|██▎       | 689/3000 [05:00<17:14,  2.23it/s, v_num=1, train_loss_step=1.95e+6, train_loss_epoch=1.92e+6]Epoch 689/3000:  23%|██▎       | 689/3000 [05:00<17:14,  2.23it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.91e+6]Epoch 690/3000:  23%|██▎       | 689/3000 [05:00<17:14,  2.23it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.91e+6]Epoch 690/3000:  23%|██▎       | 690/3000 [05:00<16:51,  2.28it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.91e+6]Epoch 690/3000:  23%|██▎       | 690/3000 [05:00<16:51,  2.28it/s, v_num=1, train_loss_step=1.92e+6, train_loss_epoch=1.91e+6]Epoch 691/3000:  23%|██▎       | 690/3000 [05:00<16:51,  2.28it/s, v_num=1, train_loss_step=1.92e+6, train_loss_epoch=1.91e+6]Epoch 691/3000:  23%|██▎       | 691/3000 [05:01<16:30,  2.33it/s, v_num=1, train_loss_step=1.92e+6, train_loss_epoch=1.91e+6]Epoch 691/3000:  23%|██▎       | 691/3000 [05:01<16:30,  2.33it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=1.91e+6]Epoch 692/3000:  23%|██▎       | 691/3000 [05:01<16:30,  2.33it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=1.91e+6]Epoch 692/3000:  23%|██▎       | 692/3000 [05:01<17:53,  2.15it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=1.91e+6]Epoch 692/3000:  23%|██▎       | 692/3000 [05:01<17:53,  2.15it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.91e+6]Epoch 693/3000:  23%|██▎       | 692/3000 [05:01<17:53,  2.15it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.91e+6]Epoch 693/3000:  23%|██▎       | 693/3000 [05:02<17:38,  2.18it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.91e+6]Epoch 693/3000:  23%|██▎       | 693/3000 [05:02<17:38,  2.18it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.91e+6]Epoch 694/3000:  23%|██▎       | 693/3000 [05:02<17:38,  2.18it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.91e+6]Epoch 694/3000:  23%|██▎       | 694/3000 [05:02<19:31,  1.97it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.91e+6]Epoch 694/3000:  23%|██▎       | 694/3000 [05:02<19:31,  1.97it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=1.9e+6] Epoch 695/3000:  23%|██▎       | 694/3000 [05:02<19:31,  1.97it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=1.9e+6]Epoch 695/3000:  23%|██▎       | 695/3000 [05:03<20:04,  1.91it/s, v_num=1, train_loss_step=2.08e+6, train_loss_epoch=1.9e+6]Epoch 695/3000:  23%|██▎       | 695/3000 [05:03<20:04,  1.91it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.9e+6]Epoch 696/3000:  23%|██▎       | 695/3000 [05:03<20:04,  1.91it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.9e+6]Epoch 696/3000:  23%|██▎       | 696/3000 [05:04<20:23,  1.88it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.9e+6]Epoch 696/3000:  23%|██▎       | 696/3000 [05:04<20:23,  1.88it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.9e+6]Epoch 697/3000:  23%|██▎       | 696/3000 [05:04<20:23,  1.88it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.9e+6]Epoch 697/3000:  23%|██▎       | 697/3000 [05:04<20:12,  1.90it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.9e+6]Epoch 697/3000:  23%|██▎       | 697/3000 [05:04<20:12,  1.90it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.9e+6]Epoch 698/3000:  23%|██▎       | 697/3000 [05:04<20:12,  1.90it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.9e+6]Epoch 698/3000:  23%|██▎       | 698/3000 [05:04<19:18,  1.99it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.9e+6]Epoch 698/3000:  23%|██▎       | 698/3000 [05:04<19:18,  1.99it/s, v_num=1, train_loss_step=1.86e+6, train_loss_epoch=1.9e+6]Epoch 699/3000:  23%|██▎       | 698/3000 [05:04<19:18,  1.99it/s, v_num=1, train_loss_step=1.86e+6, train_loss_epoch=1.9e+6]Epoch 699/3000:  23%|██▎       | 699/3000 [05:05<18:52,  2.03it/s, v_num=1, train_loss_step=1.86e+6, train_loss_epoch=1.9e+6]Epoch 699/3000:  23%|██▎       | 699/3000 [05:05<18:52,  2.03it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.89e+6]Epoch 700/3000:  23%|██▎       | 699/3000 [05:05<18:52,  2.03it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.89e+6]Epoch 700/3000:  23%|██▎       | 700/3000 [05:06<20:12,  1.90it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.89e+6]Epoch 700/3000:  23%|██▎       | 700/3000 [05:06<20:12,  1.90it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.89e+6]Epoch 701/3000:  23%|██▎       | 700/3000 [05:06<20:12,  1.90it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.89e+6]Epoch 701/3000:  23%|██▎       | 701/3000 [05:06<19:13,  1.99it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.89e+6]Epoch 701/3000:  23%|██▎       | 701/3000 [05:06<19:13,  1.99it/s, v_num=1, train_loss_step=1.92e+6, train_loss_epoch=1.89e+6]Epoch 702/3000:  23%|██▎       | 701/3000 [05:06<19:13,  1.99it/s, v_num=1, train_loss_step=1.92e+6, train_loss_epoch=1.89e+6]Epoch 702/3000:  23%|██▎       | 702/3000 [05:06<18:50,  2.03it/s, v_num=1, train_loss_step=1.92e+6, train_loss_epoch=1.89e+6]Epoch 702/3000:  23%|██▎       | 702/3000 [05:06<18:50,  2.03it/s, v_num=1, train_loss_step=1.9e+6, train_loss_epoch=1.89e+6] Epoch 703/3000:  23%|██▎       | 702/3000 [05:06<18:50,  2.03it/s, v_num=1, train_loss_step=1.9e+6, train_loss_epoch=1.89e+6]Epoch 703/3000:  23%|██▎       | 703/3000 [05:07<19:02,  2.01it/s, v_num=1, train_loss_step=1.9e+6, train_loss_epoch=1.89e+6]Epoch 703/3000:  23%|██▎       | 703/3000 [05:07<19:02,  2.01it/s, v_num=1, train_loss_step=1.89e+6, train_loss_epoch=1.89e+6]Epoch 704/3000:  23%|██▎       | 703/3000 [05:07<19:02,  2.01it/s, v_num=1, train_loss_step=1.89e+6, train_loss_epoch=1.89e+6]Epoch 704/3000:  23%|██▎       | 704/3000 [05:08<20:30,  1.87it/s, v_num=1, train_loss_step=1.89e+6, train_loss_epoch=1.89e+6]Epoch 704/3000:  23%|██▎       | 704/3000 [05:08<20:30,  1.87it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=1.88e+6]Epoch 705/3000:  23%|██▎       | 704/3000 [05:08<20:30,  1.87it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=1.88e+6]Epoch 705/3000:  24%|██▎       | 705/3000 [05:08<21:39,  1.77it/s, v_num=1, train_loss_step=2.01e+6, train_loss_epoch=1.88e+6]Epoch 705/3000:  24%|██▎       | 705/3000 [05:08<21:39,  1.77it/s, v_num=1, train_loss_step=1.86e+6, train_loss_epoch=1.88e+6]Epoch 706/3000:  24%|██▎       | 705/3000 [05:08<21:39,  1.77it/s, v_num=1, train_loss_step=1.86e+6, train_loss_epoch=1.88e+6]Epoch 706/3000:  24%|██▎       | 706/3000 [05:09<21:44,  1.76it/s, v_num=1, train_loss_step=1.86e+6, train_loss_epoch=1.88e+6]Epoch 706/3000:  24%|██▎       | 706/3000 [05:09<21:44,  1.76it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.88e+6]Epoch 707/3000:  24%|██▎       | 706/3000 [05:09<21:44,  1.76it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.88e+6]Epoch 707/3000:  24%|██▎       | 707/3000 [05:09<20:38,  1.85it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.88e+6]Epoch 707/3000:  24%|██▎       | 707/3000 [05:09<20:38,  1.85it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.88e+6]Epoch 708/3000:  24%|██▎       | 707/3000 [05:09<20:38,  1.85it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.88e+6]Epoch 708/3000:  24%|██▎       | 708/3000 [05:10<20:30,  1.86it/s, v_num=1, train_loss_step=1.94e+6, train_loss_epoch=1.88e+6]Epoch 708/3000:  24%|██▎       | 708/3000 [05:10<20:30,  1.86it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.88e+6]Epoch 709/3000:  24%|██▎       | 708/3000 [05:10<20:30,  1.86it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.88e+6]Epoch 709/3000:  24%|██▎       | 709/3000 [05:10<19:57,  1.91it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.88e+6]Epoch 709/3000:  24%|██▎       | 709/3000 [05:10<19:57,  1.91it/s, v_num=1, train_loss_step=1.81e+6, train_loss_epoch=1.87e+6]Epoch 710/3000:  24%|██▎       | 709/3000 [05:10<19:57,  1.91it/s, v_num=1, train_loss_step=1.81e+6, train_loss_epoch=1.87e+6]Epoch 710/3000:  24%|██▎       | 710/3000 [05:10<15:10,  2.51it/s, v_num=1, train_loss_step=1.81e+6, train_loss_epoch=1.87e+6]Epoch 710/3000:  24%|██▎       | 710/3000 [05:10<15:10,  2.51it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=1.87e+6]Epoch 711/3000:  24%|██▎       | 710/3000 [05:10<15:10,  2.51it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=1.87e+6]Epoch 711/3000:  24%|██▎       | 711/3000 [05:11<15:55,  2.39it/s, v_num=1, train_loss_step=1.96e+6, train_loss_epoch=1.87e+6]Epoch 711/3000:  24%|██▎       | 711/3000 [05:11<15:55,  2.39it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.87e+6]Epoch 712/3000:  24%|██▎       | 711/3000 [05:11<15:55,  2.39it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.87e+6]Epoch 712/3000:  24%|██▎       | 712/3000 [05:11<16:19,  2.34it/s, v_num=1, train_loss_step=1.91e+6, train_loss_epoch=1.87e+6]Epoch 712/3000:  24%|██▎       | 712/3000 [05:11<16:19,  2.34it/s, v_num=1, train_loss_step=1.81e+6, train_loss_epoch=1.87e+6]Epoch 713/3000:  24%|██▎       | 712/3000 [05:11<16:19,  2.34it/s, v_num=1, train_loss_step=1.81e+6, train_loss_epoch=1.87e+6]Epoch 713/3000:  24%|██▍       | 713/3000 [05:12<17:47,  2.14it/s, v_num=1, train_loss_step=1.81e+6, train_loss_epoch=1.87e+6]Epoch 713/3000:  24%|██▍       | 713/3000 [05:12<17:47,  2.14it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.87e+6]Epoch 714/3000:  24%|██▍       | 713/3000 [05:12<17:47,  2.14it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.87e+6]Epoch 714/3000:  24%|██▍       | 714/3000 [05:12<17:01,  2.24it/s, v_num=1, train_loss_step=1.87e+6, train_loss_epoch=1.87e+6]Epoch 714/3000:  24%|██▍       | 714/3000 [05:12<17:01,  2.24it/s, v_num=1, train_loss_step=1.86e+6, train_loss_epoch=1.86e+6]Epoch 715/3000:  24%|██▍       | 714/3000 [05:12<17:01,  2.24it/s, v_num=1, train_loss_step=1.86e+6, train_loss_epoch=1.86e+6]Epoch 715/3000:  24%|██▍       | 715/3000 [05:13<18:33,  2.05it/s, v_num=1, train_loss_step=1.86e+6, train_loss_epoch=1.86e+6]Epoch 715/3000:  24%|██▍       | 715/3000 [05:13<18:33,  2.05it/s, v_num=1, train_loss_step=1.88e+6, train_loss_epoch=1.86e+6]Epoch 716/3000:  24%|██▍       | 715/3000 [05:13<18:33,  2.05it/s, v_num=1, train_loss_step=1.88e+6, train_loss_epoch=1.86e+6]Epoch 716/3000:  24%|██▍       | 716/3000 [05:13<16:52,  2.26it/s, v_num=1, train_loss_step=1.88e+6, train_loss_epoch=1.86e+6]Epoch 716/3000:  24%|██▍       | 716/3000 [05:13<16:52,  2.26it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.86e+6]Epoch 717/3000:  24%|██▍       | 716/3000 [05:13<16:52,  2.26it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.86e+6]Epoch 717/3000:  24%|██▍       | 717/3000 [05:14<18:08,  2.10it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.86e+6]Epoch 717/3000:  24%|██▍       | 717/3000 [05:14<18:08,  2.10it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.86e+6]Epoch 718/3000:  24%|██▍       | 717/3000 [05:14<18:08,  2.10it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.86e+6]Epoch 718/3000:  24%|██▍       | 718/3000 [05:14<17:36,  2.16it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.86e+6]Epoch 718/3000:  24%|██▍       | 718/3000 [05:14<17:36,  2.16it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.86e+6]Epoch 719/3000:  24%|██▍       | 718/3000 [05:14<17:36,  2.16it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.86e+6]Epoch 719/3000:  24%|██▍       | 719/3000 [05:15<16:48,  2.26it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.86e+6]Epoch 719/3000:  24%|██▍       | 719/3000 [05:15<16:48,  2.26it/s, v_num=1, train_loss_step=1.9e+6, train_loss_epoch=1.85e+6] Epoch 720/3000:  24%|██▍       | 719/3000 [05:15<16:48,  2.26it/s, v_num=1, train_loss_step=1.9e+6, train_loss_epoch=1.85e+6]Epoch 720/3000:  24%|██▍       | 720/3000 [05:15<16:43,  2.27it/s, v_num=1, train_loss_step=1.9e+6, train_loss_epoch=1.85e+6]Epoch 720/3000:  24%|██▍       | 720/3000 [05:15<16:43,  2.27it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=1.85e+6]Epoch 721/3000:  24%|██▍       | 720/3000 [05:15<16:43,  2.27it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=1.85e+6]Epoch 721/3000:  24%|██▍       | 721/3000 [05:16<17:40,  2.15it/s, v_num=1, train_loss_step=1.97e+6, train_loss_epoch=1.85e+6]Epoch 721/3000:  24%|██▍       | 721/3000 [05:16<17:40,  2.15it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.85e+6]Epoch 722/3000:  24%|██▍       | 721/3000 [05:16<17:40,  2.15it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.85e+6]Epoch 722/3000:  24%|██▍       | 722/3000 [05:16<18:01,  2.11it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.85e+6]Epoch 722/3000:  24%|██▍       | 722/3000 [05:16<18:01,  2.11it/s, v_num=1, train_loss_step=1.82e+6, train_loss_epoch=1.85e+6]Epoch 723/3000:  24%|██▍       | 722/3000 [05:16<18:01,  2.11it/s, v_num=1, train_loss_step=1.82e+6, train_loss_epoch=1.85e+6]Epoch 723/3000:  24%|██▍       | 723/3000 [05:17<17:59,  2.11it/s, v_num=1, train_loss_step=1.82e+6, train_loss_epoch=1.85e+6]Epoch 723/3000:  24%|██▍       | 723/3000 [05:17<17:59,  2.11it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.85e+6]Epoch 724/3000:  24%|██▍       | 723/3000 [05:17<17:59,  2.11it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.85e+6]Epoch 724/3000:  24%|██▍       | 724/3000 [05:17<17:06,  2.22it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.85e+6]Epoch 724/3000:  24%|██▍       | 724/3000 [05:17<17:06,  2.22it/s, v_num=1, train_loss_step=1.81e+6, train_loss_epoch=1.85e+6]Epoch 725/3000:  24%|██▍       | 724/3000 [05:17<17:06,  2.22it/s, v_num=1, train_loss_step=1.81e+6, train_loss_epoch=1.85e+6]Epoch 725/3000:  24%|██▍       | 725/3000 [05:17<17:25,  2.18it/s, v_num=1, train_loss_step=1.81e+6, train_loss_epoch=1.85e+6]Epoch 725/3000:  24%|██▍       | 725/3000 [05:17<17:25,  2.18it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.84e+6]Epoch 726/3000:  24%|██▍       | 725/3000 [05:17<17:25,  2.18it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.84e+6]Epoch 726/3000:  24%|██▍       | 726/3000 [05:18<19:09,  1.98it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.84e+6]Epoch 726/3000:  24%|██▍       | 726/3000 [05:18<19:09,  1.98it/s, v_num=1, train_loss_step=1.84e+6, train_loss_epoch=1.84e+6]Epoch 727/3000:  24%|██▍       | 726/3000 [05:18<19:09,  1.98it/s, v_num=1, train_loss_step=1.84e+6, train_loss_epoch=1.84e+6]Epoch 727/3000:  24%|██▍       | 727/3000 [05:19<19:24,  1.95it/s, v_num=1, train_loss_step=1.84e+6, train_loss_epoch=1.84e+6]Epoch 727/3000:  24%|██▍       | 727/3000 [05:19<19:24,  1.95it/s, v_num=1, train_loss_step=1.82e+6, train_loss_epoch=1.84e+6]Epoch 728/3000:  24%|██▍       | 727/3000 [05:19<19:24,  1.95it/s, v_num=1, train_loss_step=1.82e+6, train_loss_epoch=1.84e+6]Epoch 728/3000:  24%|██▍       | 728/3000 [05:19<20:14,  1.87it/s, v_num=1, train_loss_step=1.82e+6, train_loss_epoch=1.84e+6]Epoch 728/3000:  24%|██▍       | 728/3000 [05:19<20:14,  1.87it/s, v_num=1, train_loss_step=1.88e+6, train_loss_epoch=1.84e+6]Epoch 729/3000:  24%|██▍       | 728/3000 [05:19<20:14,  1.87it/s, v_num=1, train_loss_step=1.88e+6, train_loss_epoch=1.84e+6]Epoch 729/3000:  24%|██▍       | 729/3000 [05:19<18:14,  2.08it/s, v_num=1, train_loss_step=1.88e+6, train_loss_epoch=1.84e+6]Epoch 729/3000:  24%|██▍       | 729/3000 [05:19<18:14,  2.08it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.84e+6]Epoch 730/3000:  24%|██▍       | 729/3000 [05:19<18:14,  2.08it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.84e+6]Epoch 730/3000:  24%|██▍       | 730/3000 [05:20<16:38,  2.27it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.84e+6]Epoch 730/3000:  24%|██▍       | 730/3000 [05:20<16:38,  2.27it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.83e+6]Epoch 731/3000:  24%|██▍       | 730/3000 [05:20<16:38,  2.27it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.83e+6]Epoch 731/3000:  24%|██▍       | 731/3000 [05:20<18:13,  2.07it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.83e+6]Epoch 731/3000:  24%|██▍       | 731/3000 [05:20<18:13,  2.07it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.83e+6]Epoch 732/3000:  24%|██▍       | 731/3000 [05:20<18:13,  2.07it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.83e+6]Epoch 732/3000:  24%|██▍       | 732/3000 [05:21<16:55,  2.23it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.83e+6]Epoch 732/3000:  24%|██▍       | 732/3000 [05:21<16:55,  2.23it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.83e+6]Epoch 733/3000:  24%|██▍       | 732/3000 [05:21<16:55,  2.23it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.83e+6]Epoch 733/3000:  24%|██▍       | 733/3000 [05:21<14:39,  2.58it/s, v_num=1, train_loss_step=1.93e+6, train_loss_epoch=1.83e+6]Epoch 733/3000:  24%|██▍       | 733/3000 [05:21<14:39,  2.58it/s, v_num=1, train_loss_step=1.82e+6, train_loss_epoch=1.83e+6]Epoch 734/3000:  24%|██▍       | 733/3000 [05:21<14:39,  2.58it/s, v_num=1, train_loss_step=1.82e+6, train_loss_epoch=1.83e+6]Epoch 734/3000:  24%|██▍       | 734/3000 [05:21<13:29,  2.80it/s, v_num=1, train_loss_step=1.82e+6, train_loss_epoch=1.83e+6]Epoch 734/3000:  24%|██▍       | 734/3000 [05:21<13:29,  2.80it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.83e+6]Epoch 735/3000:  24%|██▍       | 734/3000 [05:21<13:29,  2.80it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.83e+6]Epoch 735/3000:  24%|██▍       | 735/3000 [05:22<13:01,  2.90it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.83e+6]Epoch 735/3000:  24%|██▍       | 735/3000 [05:22<13:01,  2.90it/s, v_num=1, train_loss_step=1.8e+6, train_loss_epoch=1.83e+6] Epoch 736/3000:  24%|██▍       | 735/3000 [05:22<13:01,  2.90it/s, v_num=1, train_loss_step=1.8e+6, train_loss_epoch=1.83e+6]Epoch 736/3000:  25%|██▍       | 736/3000 [05:22<13:36,  2.77it/s, v_num=1, train_loss_step=1.8e+6, train_loss_epoch=1.83e+6]Epoch 736/3000:  25%|██▍       | 736/3000 [05:22<13:36,  2.77it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.82e+6]Epoch 737/3000:  25%|██▍       | 736/3000 [05:22<13:36,  2.77it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.82e+6]Epoch 737/3000:  25%|██▍       | 737/3000 [05:22<14:33,  2.59it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.82e+6]Epoch 737/3000:  25%|██▍       | 737/3000 [05:22<14:33,  2.59it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.82e+6]Epoch 738/3000:  25%|██▍       | 737/3000 [05:22<14:33,  2.59it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.82e+6]Epoch 738/3000:  25%|██▍       | 738/3000 [05:23<12:27,  3.03it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.82e+6]Epoch 738/3000:  25%|██▍       | 738/3000 [05:23<12:27,  3.03it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.82e+6]Epoch 739/3000:  25%|██▍       | 738/3000 [05:23<12:27,  3.03it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.82e+6]Epoch 739/3000:  25%|██▍       | 739/3000 [05:23<10:59,  3.43it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.82e+6]Epoch 739/3000:  25%|██▍       | 739/3000 [05:23<10:59,  3.43it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.82e+6]Epoch 740/3000:  25%|██▍       | 739/3000 [05:23<10:59,  3.43it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.82e+6]Epoch 740/3000:  25%|██▍       | 740/3000 [05:23<13:08,  2.87it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.82e+6]Epoch 740/3000:  25%|██▍       | 740/3000 [05:23<13:08,  2.87it/s, v_num=1, train_loss_step=1.84e+6, train_loss_epoch=1.82e+6]Epoch 741/3000:  25%|██▍       | 740/3000 [05:23<13:08,  2.87it/s, v_num=1, train_loss_step=1.84e+6, train_loss_epoch=1.82e+6]Epoch 741/3000:  25%|██▍       | 741/3000 [05:24<15:11,  2.48it/s, v_num=1, train_loss_step=1.84e+6, train_loss_epoch=1.82e+6]Epoch 741/3000:  25%|██▍       | 741/3000 [05:24<15:11,  2.48it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.81e+6]Epoch 742/3000:  25%|██▍       | 741/3000 [05:24<15:11,  2.48it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.81e+6]Epoch 742/3000:  25%|██▍       | 742/3000 [05:25<18:19,  2.05it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.81e+6]Epoch 742/3000:  25%|██▍       | 742/3000 [05:25<18:19,  2.05it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.81e+6]Epoch 743/3000:  25%|██▍       | 742/3000 [05:25<18:19,  2.05it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.81e+6]Epoch 743/3000:  25%|██▍       | 743/3000 [05:25<19:39,  1.91it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.81e+6]Epoch 743/3000:  25%|██▍       | 743/3000 [05:25<19:39,  1.91it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.81e+6]Epoch 744/3000:  25%|██▍       | 743/3000 [05:25<19:39,  1.91it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.81e+6]Epoch 744/3000:  25%|██▍       | 744/3000 [05:26<19:25,  1.94it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.81e+6]Epoch 744/3000:  25%|██▍       | 744/3000 [05:26<19:25,  1.94it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.81e+6]Epoch 745/3000:  25%|██▍       | 744/3000 [05:26<19:25,  1.94it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.81e+6]Epoch 745/3000:  25%|██▍       | 745/3000 [05:26<19:18,  1.95it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.81e+6]Epoch 745/3000:  25%|██▍       | 745/3000 [05:26<19:18,  1.95it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.81e+6]Epoch 746/3000:  25%|██▍       | 745/3000 [05:26<19:18,  1.95it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.81e+6]Epoch 746/3000:  25%|██▍       | 746/3000 [05:27<18:58,  1.98it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.81e+6]Epoch 746/3000:  25%|██▍       | 746/3000 [05:27<18:58,  1.98it/s, v_num=1, train_loss_step=1.82e+6, train_loss_epoch=1.81e+6]Epoch 747/3000:  25%|██▍       | 746/3000 [05:27<18:58,  1.98it/s, v_num=1, train_loss_step=1.82e+6, train_loss_epoch=1.81e+6]Epoch 747/3000:  25%|██▍       | 747/3000 [05:27<16:19,  2.30it/s, v_num=1, train_loss_step=1.82e+6, train_loss_epoch=1.81e+6]Epoch 747/3000:  25%|██▍       | 747/3000 [05:27<16:19,  2.30it/s, v_num=1, train_loss_step=1.73e+6, train_loss_epoch=1.8e+6] Epoch 748/3000:  25%|██▍       | 747/3000 [05:27<16:19,  2.30it/s, v_num=1, train_loss_step=1.73e+6, train_loss_epoch=1.8e+6]Epoch 748/3000:  25%|██▍       | 748/3000 [05:27<14:42,  2.55it/s, v_num=1, train_loss_step=1.73e+6, train_loss_epoch=1.8e+6]Epoch 748/3000:  25%|██▍       | 748/3000 [05:27<14:42,  2.55it/s, v_num=1, train_loss_step=1.84e+6, train_loss_epoch=1.8e+6]Epoch 749/3000:  25%|██▍       | 748/3000 [05:27<14:42,  2.55it/s, v_num=1, train_loss_step=1.84e+6, train_loss_epoch=1.8e+6]Epoch 749/3000:  25%|██▍       | 749/3000 [05:28<14:08,  2.65it/s, v_num=1, train_loss_step=1.84e+6, train_loss_epoch=1.8e+6]Epoch 749/3000:  25%|██▍       | 749/3000 [05:28<14:08,  2.65it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.8e+6]Epoch 750/3000:  25%|██▍       | 749/3000 [05:28<14:08,  2.65it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.8e+6]Epoch 750/3000:  25%|██▌       | 750/3000 [05:28<15:43,  2.38it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.8e+6]Epoch 750/3000:  25%|██▌       | 750/3000 [05:28<15:43,  2.38it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.8e+6]Epoch 751/3000:  25%|██▌       | 750/3000 [05:28<15:43,  2.38it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.8e+6]Epoch 751/3000:  25%|██▌       | 751/3000 [05:29<16:14,  2.31it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.8e+6]Epoch 751/3000:  25%|██▌       | 751/3000 [05:29<16:14,  2.31it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.8e+6]Epoch 752/3000:  25%|██▌       | 751/3000 [05:29<16:14,  2.31it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.8e+6]Epoch 752/3000:  25%|██▌       | 752/3000 [05:29<16:16,  2.30it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.8e+6]Epoch 752/3000:  25%|██▌       | 752/3000 [05:29<16:16,  2.30it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.8e+6]Epoch 753/3000:  25%|██▌       | 752/3000 [05:29<16:16,  2.30it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.8e+6]Epoch 753/3000:  25%|██▌       | 753/3000 [05:29<16:41,  2.24it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.8e+6]Epoch 753/3000:  25%|██▌       | 753/3000 [05:29<16:41,  2.24it/s, v_num=1, train_loss_step=1.8e+6, train_loss_epoch=1.79e+6]Epoch 754/3000:  25%|██▌       | 753/3000 [05:29<16:41,  2.24it/s, v_num=1, train_loss_step=1.8e+6, train_loss_epoch=1.79e+6]Epoch 754/3000:  25%|██▌       | 754/3000 [05:30<19:13,  1.95it/s, v_num=1, train_loss_step=1.8e+6, train_loss_epoch=1.79e+6]Epoch 754/3000:  25%|██▌       | 754/3000 [05:30<19:13,  1.95it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.79e+6]Epoch 755/3000:  25%|██▌       | 754/3000 [05:30<19:13,  1.95it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.79e+6]Epoch 755/3000:  25%|██▌       | 755/3000 [05:30<17:08,  2.18it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.79e+6]Epoch 755/3000:  25%|██▌       | 755/3000 [05:30<17:08,  2.18it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.79e+6]Epoch 756/3000:  25%|██▌       | 755/3000 [05:30<17:08,  2.18it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.79e+6]Epoch 756/3000:  25%|██▌       | 756/3000 [05:31<17:46,  2.10it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.79e+6]Epoch 756/3000:  25%|██▌       | 756/3000 [05:31<17:46,  2.10it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.79e+6]Epoch 757/3000:  25%|██▌       | 756/3000 [05:31<17:46,  2.10it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.79e+6]Epoch 757/3000:  25%|██▌       | 757/3000 [05:31<17:42,  2.11it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.79e+6]Epoch 757/3000:  25%|██▌       | 757/3000 [05:31<17:42,  2.11it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.79e+6]Epoch 758/3000:  25%|██▌       | 757/3000 [05:31<17:42,  2.11it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.79e+6]Epoch 758/3000:  25%|██▌       | 758/3000 [05:32<16:31,  2.26it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.79e+6]Epoch 758/3000:  25%|██▌       | 758/3000 [05:32<16:31,  2.26it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.79e+6]Epoch 759/3000:  25%|██▌       | 758/3000 [05:32<16:31,  2.26it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.79e+6]Epoch 759/3000:  25%|██▌       | 759/3000 [05:32<16:01,  2.33it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.79e+6]Epoch 759/3000:  25%|██▌       | 759/3000 [05:32<16:01,  2.33it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.78e+6]Epoch 760/3000:  25%|██▌       | 759/3000 [05:32<16:01,  2.33it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.78e+6]Epoch 760/3000:  25%|██▌       | 760/3000 [05:33<15:14,  2.45it/s, v_num=1, train_loss_step=1.83e+6, train_loss_epoch=1.78e+6]Epoch 760/3000:  25%|██▌       | 760/3000 [05:33<15:14,  2.45it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.78e+6]Epoch 761/3000:  25%|██▌       | 760/3000 [05:33<15:14,  2.45it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.78e+6]Epoch 761/3000:  25%|██▌       | 761/3000 [05:33<14:03,  2.65it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.78e+6]Epoch 761/3000:  25%|██▌       | 761/3000 [05:33<14:03,  2.65it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.78e+6]Epoch 762/3000:  25%|██▌       | 761/3000 [05:33<14:03,  2.65it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.78e+6]Epoch 762/3000:  25%|██▌       | 762/3000 [05:33<13:26,  2.78it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.78e+6]Epoch 762/3000:  25%|██▌       | 762/3000 [05:33<13:26,  2.78it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.78e+6]Epoch 763/3000:  25%|██▌       | 762/3000 [05:33<13:26,  2.78it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.78e+6]Epoch 763/3000:  25%|██▌       | 763/3000 [05:34<13:13,  2.82it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.78e+6]Epoch 763/3000:  25%|██▌       | 763/3000 [05:34<13:13,  2.82it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.78e+6]Epoch 764/3000:  25%|██▌       | 763/3000 [05:34<13:13,  2.82it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.78e+6]Epoch 764/3000:  25%|██▌       | 764/3000 [05:34<11:23,  3.27it/s, v_num=1, train_loss_step=1.85e+6, train_loss_epoch=1.78e+6]Epoch 764/3000:  25%|██▌       | 764/3000 [05:34<11:23,  3.27it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.78e+6]Epoch 765/3000:  25%|██▌       | 764/3000 [05:34<11:23,  3.27it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.78e+6]Epoch 765/3000:  26%|██▌       | 765/3000 [05:34<09:42,  3.83it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.78e+6]Epoch 765/3000:  26%|██▌       | 765/3000 [05:34<09:42,  3.83it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.77e+6]Epoch 766/3000:  26%|██▌       | 765/3000 [05:34<09:42,  3.83it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.77e+6]Epoch 766/3000:  26%|██▌       | 766/3000 [05:34<12:13,  3.05it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.77e+6]Epoch 766/3000:  26%|██▌       | 766/3000 [05:34<12:13,  3.05it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.77e+6]Epoch 767/3000:  26%|██▌       | 766/3000 [05:34<12:13,  3.05it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.77e+6]Epoch 767/3000:  26%|██▌       | 767/3000 [05:35<13:54,  2.68it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.77e+6]Epoch 767/3000:  26%|██▌       | 767/3000 [05:35<13:54,  2.68it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.77e+6]Epoch 768/3000:  26%|██▌       | 767/3000 [05:35<13:54,  2.68it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.77e+6]Epoch 768/3000:  26%|██▌       | 768/3000 [05:35<15:07,  2.46it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.77e+6]Epoch 768/3000:  26%|██▌       | 768/3000 [05:35<15:07,  2.46it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.77e+6]Epoch 769/3000:  26%|██▌       | 768/3000 [05:35<15:07,  2.46it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.77e+6]Epoch 769/3000:  26%|██▌       | 769/3000 [05:36<15:51,  2.35it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.77e+6]Epoch 769/3000:  26%|██▌       | 769/3000 [05:36<15:51,  2.35it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.77e+6]Epoch 770/3000:  26%|██▌       | 769/3000 [05:36<15:51,  2.35it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.77e+6]Epoch 770/3000:  26%|██▌       | 770/3000 [05:36<15:09,  2.45it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.77e+6]Epoch 770/3000:  26%|██▌       | 770/3000 [05:36<15:09,  2.45it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.77e+6]Epoch 771/3000:  26%|██▌       | 770/3000 [05:36<15:09,  2.45it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.77e+6]Epoch 771/3000:  26%|██▌       | 771/3000 [05:36<13:37,  2.73it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.77e+6]Epoch 771/3000:  26%|██▌       | 771/3000 [05:36<13:37,  2.73it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.76e+6]Epoch 772/3000:  26%|██▌       | 771/3000 [05:36<13:37,  2.73it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.76e+6]Epoch 772/3000:  26%|██▌       | 772/3000 [05:37<14:03,  2.64it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.76e+6]Epoch 772/3000:  26%|██▌       | 772/3000 [05:37<14:03,  2.64it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.76e+6]Epoch 773/3000:  26%|██▌       | 772/3000 [05:37<14:03,  2.64it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.76e+6]Epoch 773/3000:  26%|██▌       | 773/3000 [05:37<14:10,  2.62it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.76e+6]Epoch 773/3000:  26%|██▌       | 773/3000 [05:37<14:10,  2.62it/s, v_num=1, train_loss_step=1.8e+6, train_loss_epoch=1.76e+6] Epoch 774/3000:  26%|██▌       | 773/3000 [05:37<14:10,  2.62it/s, v_num=1, train_loss_step=1.8e+6, train_loss_epoch=1.76e+6]Epoch 774/3000:  26%|██▌       | 774/3000 [05:38<14:45,  2.51it/s, v_num=1, train_loss_step=1.8e+6, train_loss_epoch=1.76e+6]Epoch 774/3000:  26%|██▌       | 774/3000 [05:38<14:45,  2.51it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.76e+6]Epoch 775/3000:  26%|██▌       | 774/3000 [05:38<14:45,  2.51it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.76e+6]Epoch 775/3000:  26%|██▌       | 775/3000 [05:38<16:56,  2.19it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.76e+6]Epoch 775/3000:  26%|██▌       | 775/3000 [05:38<16:56,  2.19it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.76e+6]Epoch 776/3000:  26%|██▌       | 775/3000 [05:38<16:56,  2.19it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.76e+6]Epoch 776/3000:  26%|██▌       | 776/3000 [05:39<16:42,  2.22it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.76e+6]Epoch 776/3000:  26%|██▌       | 776/3000 [05:39<16:42,  2.22it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.76e+6]Epoch 777/3000:  26%|██▌       | 776/3000 [05:39<16:42,  2.22it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.76e+6]Epoch 777/3000:  26%|██▌       | 777/3000 [05:39<15:40,  2.36it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.76e+6]Epoch 777/3000:  26%|██▌       | 777/3000 [05:39<15:40,  2.36it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.75e+6]Epoch 778/3000:  26%|██▌       | 777/3000 [05:39<15:40,  2.36it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.75e+6]Epoch 778/3000:  26%|██▌       | 778/3000 [05:40<16:00,  2.31it/s, v_num=1, train_loss_step=1.79e+6, train_loss_epoch=1.75e+6]Epoch 778/3000:  26%|██▌       | 778/3000 [05:40<16:00,  2.31it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.75e+6]Epoch 779/3000:  26%|██▌       | 778/3000 [05:40<16:00,  2.31it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.75e+6]Epoch 779/3000:  26%|██▌       | 779/3000 [05:40<18:27,  2.00it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.75e+6]Epoch 779/3000:  26%|██▌       | 779/3000 [05:40<18:27,  2.00it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.75e+6]Epoch 780/3000:  26%|██▌       | 779/3000 [05:40<18:27,  2.00it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.75e+6]Epoch 780/3000:  26%|██▌       | 780/3000 [05:41<16:58,  2.18it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.75e+6]Epoch 780/3000:  26%|██▌       | 780/3000 [05:41<16:58,  2.18it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.75e+6]Epoch 781/3000:  26%|██▌       | 780/3000 [05:41<16:58,  2.18it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.75e+6]Epoch 781/3000:  26%|██▌       | 781/3000 [05:41<18:36,  1.99it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.75e+6]Epoch 781/3000:  26%|██▌       | 781/3000 [05:41<18:36,  1.99it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.75e+6]Epoch 782/3000:  26%|██▌       | 781/3000 [05:41<18:36,  1.99it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.75e+6]Epoch 782/3000:  26%|██▌       | 782/3000 [05:42<17:12,  2.15it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.75e+6]Epoch 782/3000:  26%|██▌       | 782/3000 [05:42<17:12,  2.15it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.75e+6]Epoch 783/3000:  26%|██▌       | 782/3000 [05:42<17:12,  2.15it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.75e+6]Epoch 783/3000:  26%|██▌       | 783/3000 [05:42<18:28,  2.00it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.75e+6]Epoch 783/3000:  26%|██▌       | 783/3000 [05:42<18:28,  2.00it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.75e+6]Epoch 784/3000:  26%|██▌       | 783/3000 [05:42<18:28,  2.00it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.75e+6]Epoch 784/3000:  26%|██▌       | 784/3000 [05:43<19:32,  1.89it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.75e+6]Epoch 784/3000:  26%|██▌       | 784/3000 [05:43<19:32,  1.89it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.74e+6]Epoch 785/3000:  26%|██▌       | 784/3000 [05:43<19:32,  1.89it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.74e+6]Epoch 785/3000:  26%|██▌       | 785/3000 [05:43<15:11,  2.43it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.74e+6]Epoch 785/3000:  26%|██▌       | 785/3000 [05:43<15:11,  2.43it/s, v_num=1, train_loss_step=1.68e+6, train_loss_epoch=1.74e+6]Epoch 786/3000:  26%|██▌       | 785/3000 [05:43<15:11,  2.43it/s, v_num=1, train_loss_step=1.68e+6, train_loss_epoch=1.74e+6]Epoch 786/3000:  26%|██▌       | 786/3000 [05:43<13:59,  2.64it/s, v_num=1, train_loss_step=1.68e+6, train_loss_epoch=1.74e+6]Epoch 786/3000:  26%|██▌       | 786/3000 [05:43<13:59,  2.64it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.74e+6]Epoch 787/3000:  26%|██▌       | 786/3000 [05:43<13:59,  2.64it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.74e+6]Epoch 787/3000:  26%|██▌       | 787/3000 [05:44<14:59,  2.46it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.74e+6]Epoch 787/3000:  26%|██▌       | 787/3000 [05:44<14:59,  2.46it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.74e+6]Epoch 788/3000:  26%|██▌       | 787/3000 [05:44<14:59,  2.46it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.74e+6]Epoch 788/3000:  26%|██▋       | 788/3000 [05:44<15:50,  2.33it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.74e+6]Epoch 788/3000:  26%|██▋       | 788/3000 [05:44<15:50,  2.33it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.74e+6]Epoch 789/3000:  26%|██▋       | 788/3000 [05:44<15:50,  2.33it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.74e+6]Epoch 789/3000:  26%|██▋       | 789/3000 [05:45<16:10,  2.28it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.74e+6]Epoch 789/3000:  26%|██▋       | 789/3000 [05:45<16:10,  2.28it/s, v_num=1, train_loss_step=1.8e+6, train_loss_epoch=1.74e+6] Epoch 790/3000:  26%|██▋       | 789/3000 [05:45<16:10,  2.28it/s, v_num=1, train_loss_step=1.8e+6, train_loss_epoch=1.74e+6]Epoch 790/3000:  26%|██▋       | 790/3000 [05:45<14:02,  2.62it/s, v_num=1, train_loss_step=1.8e+6, train_loss_epoch=1.74e+6]Epoch 790/3000:  26%|██▋       | 790/3000 [05:45<14:02,  2.62it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.73e+6]Epoch 791/3000:  26%|██▋       | 790/3000 [05:45<14:02,  2.62it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.73e+6]Epoch 791/3000:  26%|██▋       | 791/3000 [05:45<14:34,  2.53it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.73e+6]Epoch 791/3000:  26%|██▋       | 791/3000 [05:45<14:34,  2.53it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.73e+6]Epoch 792/3000:  26%|██▋       | 791/3000 [05:45<14:34,  2.53it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.73e+6]Epoch 792/3000:  26%|██▋       | 792/3000 [05:46<16:12,  2.27it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.73e+6]Epoch 792/3000:  26%|██▋       | 792/3000 [05:46<16:12,  2.27it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.73e+6]Epoch 793/3000:  26%|██▋       | 792/3000 [05:46<16:12,  2.27it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.73e+6]Epoch 793/3000:  26%|██▋       | 793/3000 [05:46<18:36,  1.98it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.73e+6]Epoch 793/3000:  26%|██▋       | 793/3000 [05:46<18:36,  1.98it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.73e+6]Epoch 794/3000:  26%|██▋       | 793/3000 [05:46<18:36,  1.98it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.73e+6]Epoch 794/3000:  26%|██▋       | 794/3000 [05:47<18:18,  2.01it/s, v_num=1, train_loss_step=1.76e+6, train_loss_epoch=1.73e+6]Epoch 794/3000:  26%|██▋       | 794/3000 [05:47<18:18,  2.01it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.73e+6]Epoch 795/3000:  26%|██▋       | 794/3000 [05:47<18:18,  2.01it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.73e+6]Epoch 795/3000:  26%|██▋       | 795/3000 [05:47<18:16,  2.01it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.73e+6]Epoch 795/3000:  26%|██▋       | 795/3000 [05:47<18:16,  2.01it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.73e+6]Epoch 796/3000:  26%|██▋       | 795/3000 [05:47<18:16,  2.01it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.73e+6]Epoch 796/3000:  27%|██▋       | 796/3000 [05:48<17:09,  2.14it/s, v_num=1, train_loss_step=1.77e+6, train_loss_epoch=1.73e+6]Epoch 796/3000:  27%|██▋       | 796/3000 [05:48<17:09,  2.14it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.73e+6]Epoch 797/3000:  27%|██▋       | 796/3000 [05:48<17:09,  2.14it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.73e+6]Epoch 797/3000:  27%|██▋       | 797/3000 [05:48<16:56,  2.17it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.73e+6]Epoch 797/3000:  27%|██▋       | 797/3000 [05:48<16:56,  2.17it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.72e+6]Epoch 798/3000:  27%|██▋       | 797/3000 [05:48<16:56,  2.17it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.72e+6]Epoch 798/3000:  27%|██▋       | 798/3000 [05:49<16:32,  2.22it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.72e+6]Epoch 798/3000:  27%|██▋       | 798/3000 [05:49<16:32,  2.22it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.72e+6] Epoch 799/3000:  27%|██▋       | 798/3000 [05:49<16:32,  2.22it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.72e+6]Epoch 799/3000:  27%|██▋       | 799/3000 [05:49<17:17,  2.12it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.72e+6]Epoch 799/3000:  27%|██▋       | 799/3000 [05:49<17:17,  2.12it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.72e+6]Epoch 800/3000:  27%|██▋       | 799/3000 [05:49<17:17,  2.12it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.72e+6]Epoch 800/3000:  27%|██▋       | 800/3000 [05:50<17:49,  2.06it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.72e+6]Epoch 800/3000:  27%|██▋       | 800/3000 [05:50<17:49,  2.06it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.72e+6]Epoch 801/3000:  27%|██▋       | 800/3000 [05:50<17:49,  2.06it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.72e+6]Epoch 801/3000:  27%|██▋       | 801/3000 [05:50<17:52,  2.05it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.72e+6]Epoch 801/3000:  27%|██▋       | 801/3000 [05:50<17:52,  2.05it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.72e+6]Epoch 802/3000:  27%|██▋       | 801/3000 [05:50<17:52,  2.05it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.72e+6]Epoch 802/3000:  27%|██▋       | 802/3000 [05:51<18:15,  2.01it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.72e+6]Epoch 802/3000:  27%|██▋       | 802/3000 [05:51<18:15,  2.01it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.72e+6]Epoch 803/3000:  27%|██▋       | 802/3000 [05:51<18:15,  2.01it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.72e+6]Epoch 803/3000:  27%|██▋       | 803/3000 [05:51<17:14,  2.12it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.72e+6]Epoch 803/3000:  27%|██▋       | 803/3000 [05:51<17:14,  2.12it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.72e+6] Epoch 804/3000:  27%|██▋       | 803/3000 [05:51<17:14,  2.12it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.72e+6]Epoch 804/3000:  27%|██▋       | 804/3000 [05:52<18:38,  1.96it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.72e+6]Epoch 804/3000:  27%|██▋       | 804/3000 [05:52<18:38,  1.96it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.71e+6]Epoch 805/3000:  27%|██▋       | 804/3000 [05:52<18:38,  1.96it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.71e+6]Epoch 805/3000:  27%|██▋       | 805/3000 [05:52<17:01,  2.15it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.71e+6]Epoch 805/3000:  27%|██▋       | 805/3000 [05:52<17:01,  2.15it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.71e+6] Epoch 806/3000:  27%|██▋       | 805/3000 [05:52<17:01,  2.15it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.71e+6]Epoch 806/3000:  27%|██▋       | 806/3000 [05:52<15:08,  2.41it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.71e+6]Epoch 806/3000:  27%|██▋       | 806/3000 [05:52<15:08,  2.41it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.71e+6]Epoch 807/3000:  27%|██▋       | 806/3000 [05:52<15:08,  2.41it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.71e+6]Epoch 807/3000:  27%|██▋       | 807/3000 [05:53<15:21,  2.38it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.71e+6]Epoch 807/3000:  27%|██▋       | 807/3000 [05:53<15:21,  2.38it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.71e+6]Epoch 808/3000:  27%|██▋       | 807/3000 [05:53<15:21,  2.38it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.71e+6]Epoch 808/3000:  27%|██▋       | 808/3000 [05:53<16:21,  2.23it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.71e+6]Epoch 808/3000:  27%|██▋       | 808/3000 [05:53<16:21,  2.23it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.71e+6]Epoch 809/3000:  27%|██▋       | 808/3000 [05:53<16:21,  2.23it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.71e+6]Epoch 809/3000:  27%|██▋       | 809/3000 [05:54<15:46,  2.32it/s, v_num=1, train_loss_step=1.78e+6, train_loss_epoch=1.71e+6]Epoch 809/3000:  27%|██▋       | 809/3000 [05:54<15:46,  2.32it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.71e+6]Epoch 810/3000:  27%|██▋       | 809/3000 [05:54<15:46,  2.32it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.71e+6]Epoch 810/3000:  27%|██▋       | 810/3000 [05:54<16:16,  2.24it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.71e+6]Epoch 810/3000:  27%|██▋       | 810/3000 [05:54<16:16,  2.24it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.71e+6] Epoch 811/3000:  27%|██▋       | 810/3000 [05:54<16:16,  2.24it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.71e+6]Epoch 811/3000:  27%|██▋       | 811/3000 [05:55<17:34,  2.08it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.71e+6]Epoch 811/3000:  27%|██▋       | 811/3000 [05:55<17:34,  2.08it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.7e+6]Epoch 812/3000:  27%|██▋       | 811/3000 [05:55<17:34,  2.08it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.7e+6]Epoch 812/3000:  27%|██▋       | 812/3000 [05:55<18:30,  1.97it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.7e+6]Epoch 812/3000:  27%|██▋       | 812/3000 [05:55<18:30,  1.97it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.7e+6]Epoch 813/3000:  27%|██▋       | 812/3000 [05:55<18:30,  1.97it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.7e+6]Epoch 813/3000:  27%|██▋       | 813/3000 [05:56<19:47,  1.84it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.7e+6]Epoch 813/3000:  27%|██▋       | 813/3000 [05:56<19:47,  1.84it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.7e+6]Epoch 814/3000:  27%|██▋       | 813/3000 [05:56<19:47,  1.84it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.7e+6]Epoch 814/3000:  27%|██▋       | 814/3000 [05:56<18:34,  1.96it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.7e+6]Epoch 814/3000:  27%|██▋       | 814/3000 [05:56<18:34,  1.96it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.7e+6]Epoch 815/3000:  27%|██▋       | 814/3000 [05:56<18:34,  1.96it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.7e+6]Epoch 815/3000:  27%|██▋       | 815/3000 [05:57<18:36,  1.96it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.7e+6]Epoch 815/3000:  27%|██▋       | 815/3000 [05:57<18:36,  1.96it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.7e+6] Epoch 816/3000:  27%|██▋       | 815/3000 [05:57<18:36,  1.96it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.7e+6]Epoch 816/3000:  27%|██▋       | 816/3000 [05:57<18:11,  2.00it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.7e+6]Epoch 816/3000:  27%|██▋       | 816/3000 [05:57<18:11,  2.00it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.7e+6]Epoch 817/3000:  27%|██▋       | 816/3000 [05:57<18:11,  2.00it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.7e+6]Epoch 817/3000:  27%|██▋       | 817/3000 [05:58<18:57,  1.92it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.7e+6]Epoch 817/3000:  27%|██▋       | 817/3000 [05:58<18:57,  1.92it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.7e+6]Epoch 818/3000:  27%|██▋       | 817/3000 [05:58<18:57,  1.92it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.7e+6]Epoch 818/3000:  27%|██▋       | 818/3000 [05:59<19:49,  1.83it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.7e+6]Epoch 818/3000:  27%|██▋       | 818/3000 [05:59<19:49,  1.83it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.69e+6]Epoch 819/3000:  27%|██▋       | 818/3000 [05:59<19:49,  1.83it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.69e+6]Epoch 819/3000:  27%|██▋       | 819/3000 [05:59<17:32,  2.07it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.69e+6]Epoch 819/3000:  27%|██▋       | 819/3000 [05:59<17:32,  2.07it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.69e+6]Epoch 820/3000:  27%|██▋       | 819/3000 [05:59<17:32,  2.07it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.69e+6]Epoch 820/3000:  27%|██▋       | 820/3000 [05:59<17:31,  2.07it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.69e+6]Epoch 821/3000:  27%|██▋       | 820/3000 [05:59<17:31,  2.07it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.69e+6]Epoch 821/3000:  27%|██▋       | 821/3000 [05:59<10:50,  3.35it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.69e+6]Epoch 821/3000:  27%|██▋       | 821/3000 [05:59<10:50,  3.35it/s, v_num=1, train_loss_step=1.73e+6, train_loss_epoch=1.69e+6]Epoch 822/3000:  27%|██▋       | 821/3000 [05:59<10:50,  3.35it/s, v_num=1, train_loss_step=1.73e+6, train_loss_epoch=1.69e+6]Epoch 822/3000:  27%|██▋       | 822/3000 [05:59<09:28,  3.83it/s, v_num=1, train_loss_step=1.73e+6, train_loss_epoch=1.69e+6]Epoch 822/3000:  27%|██▋       | 822/3000 [05:59<09:28,  3.83it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.69e+6]Epoch 823/3000:  27%|██▋       | 822/3000 [05:59<09:28,  3.83it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.69e+6]Epoch 823/3000:  27%|██▋       | 823/3000 [05:59<08:02,  4.52it/s, v_num=1, train_loss_step=1.74e+6, train_loss_epoch=1.69e+6]Epoch 823/3000:  27%|██▋       | 823/3000 [05:59<08:02,  4.52it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.69e+6]Epoch 824/3000:  27%|██▋       | 823/3000 [05:59<08:02,  4.52it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.69e+6]Epoch 824/3000:  27%|██▋       | 824/3000 [06:00<09:17,  3.90it/s, v_num=1, train_loss_step=1.71e+6, train_loss_epoch=1.69e+6]Epoch 824/3000:  27%|██▋       | 824/3000 [06:00<09:17,  3.90it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.69e+6]Epoch 825/3000:  27%|██▋       | 824/3000 [06:00<09:17,  3.90it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.69e+6]Epoch 825/3000:  28%|██▊       | 825/3000 [06:00<11:14,  3.23it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.69e+6]Epoch 825/3000:  28%|██▊       | 825/3000 [06:00<11:14,  3.23it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.68e+6]Epoch 826/3000:  28%|██▊       | 825/3000 [06:00<11:14,  3.23it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.68e+6]Epoch 826/3000:  28%|██▊       | 826/3000 [06:01<12:12,  2.97it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.68e+6]Epoch 826/3000:  28%|██▊       | 826/3000 [06:01<12:12,  2.97it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.68e+6]Epoch 827/3000:  28%|██▊       | 826/3000 [06:01<12:12,  2.97it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.68e+6]Epoch 827/3000:  28%|██▊       | 827/3000 [06:01<14:07,  2.56it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.68e+6]Epoch 827/3000:  28%|██▊       | 827/3000 [06:01<14:07,  2.56it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.68e+6]Epoch 828/3000:  28%|██▊       | 827/3000 [06:01<14:07,  2.56it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.68e+6]Epoch 828/3000:  28%|██▊       | 828/3000 [06:01<14:20,  2.53it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.68e+6]Epoch 828/3000:  28%|██▊       | 828/3000 [06:01<14:20,  2.53it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.68e+6]Epoch 829/3000:  28%|██▊       | 828/3000 [06:01<14:20,  2.53it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.68e+6]Epoch 829/3000:  28%|██▊       | 829/3000 [06:02<14:58,  2.42it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.68e+6]Epoch 829/3000:  28%|██▊       | 829/3000 [06:02<14:58,  2.42it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.68e+6]Epoch 830/3000:  28%|██▊       | 829/3000 [06:02<14:58,  2.42it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.68e+6]Epoch 830/3000:  28%|██▊       | 830/3000 [06:02<15:11,  2.38it/s, v_num=1, train_loss_step=1.72e+6, train_loss_epoch=1.68e+6]Epoch 830/3000:  28%|██▊       | 830/3000 [06:02<15:11,  2.38it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.68e+6]Epoch 831/3000:  28%|██▊       | 830/3000 [06:02<15:11,  2.38it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.68e+6]Epoch 831/3000:  28%|██▊       | 831/3000 [06:03<17:00,  2.13it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.68e+6]Epoch 831/3000:  28%|██▊       | 831/3000 [06:03<17:00,  2.13it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.68e+6]Epoch 832/3000:  28%|██▊       | 831/3000 [06:03<17:00,  2.13it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.68e+6]Epoch 832/3000:  28%|██▊       | 832/3000 [06:03<17:33,  2.06it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.68e+6]Epoch 832/3000:  28%|██▊       | 832/3000 [06:03<17:33,  2.06it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.68e+6] Epoch 833/3000:  28%|██▊       | 832/3000 [06:03<17:33,  2.06it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.68e+6]Epoch 833/3000:  28%|██▊       | 833/3000 [06:04<18:53,  1.91it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.68e+6]Epoch 833/3000:  28%|██▊       | 833/3000 [06:04<18:53,  1.91it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.67e+6]Epoch 834/3000:  28%|██▊       | 833/3000 [06:04<18:53,  1.91it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.67e+6]Epoch 834/3000:  28%|██▊       | 834/3000 [06:04<17:40,  2.04it/s, v_num=1, train_loss_step=1.75e+6, train_loss_epoch=1.67e+6]Epoch 834/3000:  28%|██▊       | 834/3000 [06:04<17:40,  2.04it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.67e+6] Epoch 835/3000:  28%|██▊       | 834/3000 [06:04<17:40,  2.04it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.67e+6]Epoch 835/3000:  28%|██▊       | 835/3000 [06:05<17:05,  2.11it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.67e+6]Epoch 835/3000:  28%|██▊       | 835/3000 [06:05<17:05,  2.11it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.67e+6]Epoch 836/3000:  28%|██▊       | 835/3000 [06:05<17:05,  2.11it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.67e+6]Epoch 836/3000:  28%|██▊       | 836/3000 [06:05<16:57,  2.13it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.67e+6]Epoch 836/3000:  28%|██▊       | 836/3000 [06:05<16:57,  2.13it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.67e+6]Epoch 837/3000:  28%|██▊       | 836/3000 [06:05<16:57,  2.13it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.67e+6]Epoch 837/3000:  28%|██▊       | 837/3000 [06:06<15:57,  2.26it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.67e+6]Epoch 837/3000:  28%|██▊       | 837/3000 [06:06<15:57,  2.26it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.67e+6]Epoch 838/3000:  28%|██▊       | 837/3000 [06:06<15:57,  2.26it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.67e+6]Epoch 838/3000:  28%|██▊       | 838/3000 [06:06<14:58,  2.40it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.67e+6]Epoch 838/3000:  28%|██▊       | 838/3000 [06:06<14:58,  2.40it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.67e+6]Epoch 839/3000:  28%|██▊       | 838/3000 [06:06<14:58,  2.40it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.67e+6]Epoch 839/3000:  28%|██▊       | 839/3000 [06:06<14:34,  2.47it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.67e+6]Epoch 839/3000:  28%|██▊       | 839/3000 [06:06<14:34,  2.47it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.67e+6]Epoch 840/3000:  28%|██▊       | 839/3000 [06:06<14:34,  2.47it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.67e+6]Epoch 840/3000:  28%|██▊       | 840/3000 [06:07<15:17,  2.36it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.67e+6]Epoch 840/3000:  28%|██▊       | 840/3000 [06:07<15:17,  2.36it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.66e+6]Epoch 841/3000:  28%|██▊       | 840/3000 [06:07<15:17,  2.36it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.66e+6]Epoch 841/3000:  28%|██▊       | 841/3000 [06:07<14:37,  2.46it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.66e+6]Epoch 841/3000:  28%|██▊       | 841/3000 [06:07<14:37,  2.46it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.66e+6]Epoch 842/3000:  28%|██▊       | 841/3000 [06:07<14:37,  2.46it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.66e+6]Epoch 842/3000:  28%|██▊       | 842/3000 [06:08<13:39,  2.63it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.66e+6]Epoch 842/3000:  28%|██▊       | 842/3000 [06:08<13:39,  2.63it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.66e+6]Epoch 843/3000:  28%|██▊       | 842/3000 [06:08<13:39,  2.63it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.66e+6]Epoch 843/3000:  28%|██▊       | 843/3000 [06:08<16:19,  2.20it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.66e+6]Epoch 843/3000:  28%|██▊       | 843/3000 [06:08<16:19,  2.20it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.66e+6]Epoch 844/3000:  28%|██▊       | 843/3000 [06:08<16:19,  2.20it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.66e+6]Epoch 844/3000:  28%|██▊       | 844/3000 [06:09<17:51,  2.01it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.66e+6]Epoch 844/3000:  28%|██▊       | 844/3000 [06:09<17:51,  2.01it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.66e+6]Epoch 845/3000:  28%|██▊       | 844/3000 [06:09<17:51,  2.01it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.66e+6]Epoch 845/3000:  28%|██▊       | 845/3000 [06:09<15:48,  2.27it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.66e+6]Epoch 845/3000:  28%|██▊       | 845/3000 [06:09<15:48,  2.27it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.66e+6] Epoch 846/3000:  28%|██▊       | 845/3000 [06:09<15:48,  2.27it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.66e+6]Epoch 846/3000:  28%|██▊       | 846/3000 [06:09<14:28,  2.48it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.66e+6]Epoch 846/3000:  28%|██▊       | 846/3000 [06:09<14:28,  2.48it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.66e+6]Epoch 847/3000:  28%|██▊       | 846/3000 [06:09<14:28,  2.48it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.66e+6]Epoch 847/3000:  28%|██▊       | 847/3000 [06:10<13:01,  2.75it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.66e+6]Epoch 847/3000:  28%|██▊       | 847/3000 [06:10<13:01,  2.75it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.66e+6] Epoch 848/3000:  28%|██▊       | 847/3000 [06:10<13:01,  2.75it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.66e+6]Epoch 848/3000:  28%|██▊       | 848/3000 [06:10<14:12,  2.52it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.66e+6]Epoch 848/3000:  28%|██▊       | 848/3000 [06:10<14:12,  2.52it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.65e+6]Epoch 849/3000:  28%|██▊       | 848/3000 [06:10<14:12,  2.52it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.65e+6]Epoch 849/3000:  28%|██▊       | 849/3000 [06:11<14:42,  2.44it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.65e+6]Epoch 849/3000:  28%|██▊       | 849/3000 [06:11<14:42,  2.44it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.65e+6]Epoch 850/3000:  28%|██▊       | 849/3000 [06:11<14:42,  2.44it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.65e+6]Epoch 850/3000:  28%|██▊       | 850/3000 [06:11<16:09,  2.22it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.65e+6]Epoch 850/3000:  28%|██▊       | 850/3000 [06:11<16:09,  2.22it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.65e+6]Epoch 851/3000:  28%|██▊       | 850/3000 [06:11<16:09,  2.22it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.65e+6]Epoch 851/3000:  28%|██▊       | 851/3000 [06:12<16:30,  2.17it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.65e+6]Epoch 851/3000:  28%|██▊       | 851/3000 [06:12<16:30,  2.17it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.65e+6] Epoch 852/3000:  28%|██▊       | 851/3000 [06:12<16:30,  2.17it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.65e+6]Epoch 852/3000:  28%|██▊       | 852/3000 [06:12<16:04,  2.23it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.65e+6]Epoch 852/3000:  28%|██▊       | 852/3000 [06:12<16:04,  2.23it/s, v_num=1, train_loss_step=1.68e+6, train_loss_epoch=1.65e+6]Epoch 853/3000:  28%|██▊       | 852/3000 [06:12<16:04,  2.23it/s, v_num=1, train_loss_step=1.68e+6, train_loss_epoch=1.65e+6]Epoch 853/3000:  28%|██▊       | 853/3000 [06:13<17:00,  2.10it/s, v_num=1, train_loss_step=1.68e+6, train_loss_epoch=1.65e+6]Epoch 853/3000:  28%|██▊       | 853/3000 [06:13<17:00,  2.10it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.65e+6]Epoch 854/3000:  28%|██▊       | 853/3000 [06:13<17:00,  2.10it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.65e+6]Epoch 854/3000:  28%|██▊       | 854/3000 [06:13<16:10,  2.21it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.65e+6]Epoch 854/3000:  28%|██▊       | 854/3000 [06:13<16:10,  2.21it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.65e+6] Epoch 855/3000:  28%|██▊       | 854/3000 [06:13<16:10,  2.21it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.65e+6]Epoch 855/3000:  28%|██▊       | 855/3000 [06:14<18:24,  1.94it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.65e+6]Epoch 855/3000:  28%|██▊       | 855/3000 [06:14<18:24,  1.94it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.65e+6]Epoch 856/3000:  28%|██▊       | 855/3000 [06:14<18:24,  1.94it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.65e+6]Epoch 856/3000:  29%|██▊       | 856/3000 [06:14<18:04,  1.98it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.65e+6]Epoch 856/3000:  29%|██▊       | 856/3000 [06:14<18:04,  1.98it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.64e+6]Epoch 857/3000:  29%|██▊       | 856/3000 [06:14<18:04,  1.98it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.64e+6]Epoch 857/3000:  29%|██▊       | 857/3000 [06:15<16:03,  2.22it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.64e+6]Epoch 857/3000:  29%|██▊       | 857/3000 [06:15<16:03,  2.22it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.64e+6]Epoch 858/3000:  29%|██▊       | 857/3000 [06:15<16:03,  2.22it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.64e+6]Epoch 858/3000:  29%|██▊       | 858/3000 [06:15<14:52,  2.40it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.64e+6]Epoch 858/3000:  29%|██▊       | 858/3000 [06:15<14:52,  2.40it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.64e+6]Epoch 859/3000:  29%|██▊       | 858/3000 [06:15<14:52,  2.40it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.64e+6]Epoch 859/3000:  29%|██▊       | 859/3000 [06:15<16:47,  2.12it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.64e+6]Epoch 859/3000:  29%|██▊       | 859/3000 [06:15<16:47,  2.12it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.64e+6]Epoch 860/3000:  29%|██▊       | 859/3000 [06:15<16:47,  2.12it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.64e+6]Epoch 860/3000:  29%|██▊       | 860/3000 [06:16<16:23,  2.18it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.64e+6]Epoch 860/3000:  29%|██▊       | 860/3000 [06:16<16:23,  2.18it/s, v_num=1, train_loss_step=1.58e+6, train_loss_epoch=1.64e+6]Epoch 861/3000:  29%|██▊       | 860/3000 [06:16<16:23,  2.18it/s, v_num=1, train_loss_step=1.58e+6, train_loss_epoch=1.64e+6]Epoch 861/3000:  29%|██▊       | 861/3000 [06:16<16:46,  2.13it/s, v_num=1, train_loss_step=1.58e+6, train_loss_epoch=1.64e+6]Epoch 861/3000:  29%|██▊       | 861/3000 [06:16<16:46,  2.13it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.64e+6]Epoch 862/3000:  29%|██▊       | 861/3000 [06:16<16:46,  2.13it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.64e+6]Epoch 862/3000:  29%|██▊       | 862/3000 [06:17<14:32,  2.45it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.64e+6]Epoch 862/3000:  29%|██▊       | 862/3000 [06:17<14:32,  2.45it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.64e+6]Epoch 863/3000:  29%|██▊       | 862/3000 [06:17<14:32,  2.45it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.64e+6]Epoch 863/3000:  29%|██▉       | 863/3000 [06:17<14:40,  2.43it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.64e+6]Epoch 863/3000:  29%|██▉       | 863/3000 [06:17<14:40,  2.43it/s, v_num=1, train_loss_step=1.68e+6, train_loss_epoch=1.64e+6]Epoch 864/3000:  29%|██▉       | 863/3000 [06:17<14:40,  2.43it/s, v_num=1, train_loss_step=1.68e+6, train_loss_epoch=1.64e+6]Epoch 864/3000:  29%|██▉       | 864/3000 [06:17<14:26,  2.47it/s, v_num=1, train_loss_step=1.68e+6, train_loss_epoch=1.64e+6]Epoch 864/3000:  29%|██▉       | 864/3000 [06:17<14:26,  2.47it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.63e+6]Epoch 865/3000:  29%|██▉       | 864/3000 [06:17<14:26,  2.47it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.63e+6]Epoch 865/3000:  29%|██▉       | 865/3000 [06:18<14:47,  2.41it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.63e+6]Epoch 865/3000:  29%|██▉       | 865/3000 [06:18<14:47,  2.41it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.63e+6] Epoch 866/3000:  29%|██▉       | 865/3000 [06:18<14:47,  2.41it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.63e+6]Epoch 866/3000:  29%|██▉       | 866/3000 [06:19<17:02,  2.09it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.63e+6]Epoch 866/3000:  29%|██▉       | 866/3000 [06:19<17:02,  2.09it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.63e+6]Epoch 867/3000:  29%|██▉       | 866/3000 [06:19<17:02,  2.09it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.63e+6]Epoch 867/3000:  29%|██▉       | 867/3000 [06:19<18:21,  1.94it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.63e+6]Epoch 867/3000:  29%|██▉       | 867/3000 [06:19<18:21,  1.94it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.63e+6]Epoch 868/3000:  29%|██▉       | 867/3000 [06:19<18:21,  1.94it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.63e+6]Epoch 868/3000:  29%|██▉       | 868/3000 [06:20<18:58,  1.87it/s, v_num=1, train_loss_step=1.69e+6, train_loss_epoch=1.63e+6]Epoch 868/3000:  29%|██▉       | 868/3000 [06:20<18:58,  1.87it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.63e+6]Epoch 869/3000:  29%|██▉       | 868/3000 [06:20<18:58,  1.87it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.63e+6]Epoch 869/3000:  29%|██▉       | 869/3000 [06:20<17:50,  1.99it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.63e+6]Epoch 869/3000:  29%|██▉       | 869/3000 [06:20<17:50,  1.99it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.63e+6]Epoch 870/3000:  29%|██▉       | 869/3000 [06:20<17:50,  1.99it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.63e+6]Epoch 870/3000:  29%|██▉       | 870/3000 [06:21<17:58,  1.98it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.63e+6]Epoch 870/3000:  29%|██▉       | 870/3000 [06:21<17:58,  1.98it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.63e+6]Epoch 871/3000:  29%|██▉       | 870/3000 [06:21<17:58,  1.98it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.63e+6]Epoch 871/3000:  29%|██▉       | 871/3000 [06:21<19:36,  1.81it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.63e+6]Epoch 871/3000:  29%|██▉       | 871/3000 [06:21<19:36,  1.81it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.63e+6]Epoch 872/3000:  29%|██▉       | 871/3000 [06:21<19:36,  1.81it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.63e+6]Epoch 872/3000:  29%|██▉       | 872/3000 [06:22<19:34,  1.81it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.63e+6]Epoch 872/3000:  29%|██▉       | 872/3000 [06:22<19:34,  1.81it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.62e+6]Epoch 873/3000:  29%|██▉       | 872/3000 [06:22<19:34,  1.81it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.62e+6]Epoch 873/3000:  29%|██▉       | 873/3000 [06:22<17:40,  2.01it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.62e+6]Epoch 873/3000:  29%|██▉       | 873/3000 [06:22<17:40,  2.01it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.62e+6]Epoch 874/3000:  29%|██▉       | 873/3000 [06:22<17:40,  2.01it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.62e+6]Epoch 874/3000:  29%|██▉       | 874/3000 [06:22<14:40,  2.41it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.62e+6]Epoch 874/3000:  29%|██▉       | 874/3000 [06:22<14:40,  2.41it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.62e+6]Epoch 875/3000:  29%|██▉       | 874/3000 [06:22<14:40,  2.41it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.62e+6]Epoch 875/3000:  29%|██▉       | 875/3000 [06:23<13:36,  2.60it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.62e+6]Epoch 875/3000:  29%|██▉       | 875/3000 [06:23<13:36,  2.60it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.62e+6]Epoch 876/3000:  29%|██▉       | 875/3000 [06:23<13:36,  2.60it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.62e+6]Epoch 876/3000:  29%|██▉       | 876/3000 [06:23<15:17,  2.31it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.62e+6]Epoch 876/3000:  29%|██▉       | 876/3000 [06:23<15:17,  2.31it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.62e+6] Epoch 877/3000:  29%|██▉       | 876/3000 [06:23<15:17,  2.31it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.62e+6]Epoch 877/3000:  29%|██▉       | 877/3000 [06:24<14:19,  2.47it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.62e+6]Epoch 877/3000:  29%|██▉       | 877/3000 [06:24<14:19,  2.47it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.62e+6]Epoch 878/3000:  29%|██▉       | 877/3000 [06:24<14:19,  2.47it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.62e+6]Epoch 878/3000:  29%|██▉       | 878/3000 [06:24<15:36,  2.27it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.62e+6]Epoch 878/3000:  29%|██▉       | 878/3000 [06:24<15:36,  2.27it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.62e+6]Epoch 879/3000:  29%|██▉       | 878/3000 [06:24<15:36,  2.27it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.62e+6]Epoch 879/3000:  29%|██▉       | 879/3000 [06:25<16:26,  2.15it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.62e+6]Epoch 879/3000:  29%|██▉       | 879/3000 [06:25<16:26,  2.15it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.62e+6]Epoch 880/3000:  29%|██▉       | 879/3000 [06:25<16:26,  2.15it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.62e+6]Epoch 880/3000:  29%|██▉       | 880/3000 [06:25<13:19,  2.65it/s, v_num=1, train_loss_step=1.66e+6, train_loss_epoch=1.62e+6]Epoch 880/3000:  29%|██▉       | 880/3000 [06:25<13:19,  2.65it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.61e+6] Epoch 881/3000:  29%|██▉       | 880/3000 [06:25<13:19,  2.65it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.61e+6]Epoch 881/3000:  29%|██▉       | 881/3000 [06:25<14:05,  2.50it/s, v_num=1, train_loss_step=1.7e+6, train_loss_epoch=1.61e+6]Epoch 881/3000:  29%|██▉       | 881/3000 [06:25<14:05,  2.50it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.61e+6]Epoch 882/3000:  29%|██▉       | 881/3000 [06:25<14:05,  2.50it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.61e+6]Epoch 882/3000:  29%|██▉       | 882/3000 [06:26<15:06,  2.34it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.61e+6]Epoch 882/3000:  29%|██▉       | 882/3000 [06:26<15:06,  2.34it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.61e+6]Epoch 883/3000:  29%|██▉       | 882/3000 [06:26<15:06,  2.34it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.61e+6]Epoch 883/3000:  29%|██▉       | 883/3000 [06:26<15:45,  2.24it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.61e+6]Epoch 883/3000:  29%|██▉       | 883/3000 [06:26<15:45,  2.24it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.61e+6]Epoch 884/3000:  29%|██▉       | 883/3000 [06:26<15:45,  2.24it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.61e+6]Epoch 884/3000:  29%|██▉       | 884/3000 [06:27<17:29,  2.02it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.61e+6]Epoch 884/3000:  29%|██▉       | 884/3000 [06:27<17:29,  2.02it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.61e+6]Epoch 885/3000:  29%|██▉       | 884/3000 [06:27<17:29,  2.02it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.61e+6]Epoch 885/3000:  30%|██▉       | 885/3000 [06:27<16:03,  2.20it/s, v_num=1, train_loss_step=1.65e+6, train_loss_epoch=1.61e+6]Epoch 885/3000:  30%|██▉       | 885/3000 [06:27<16:03,  2.20it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.61e+6]Epoch 886/3000:  30%|██▉       | 885/3000 [06:27<16:03,  2.20it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.61e+6]Epoch 886/3000:  30%|██▉       | 886/3000 [06:28<16:26,  2.14it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.61e+6]Epoch 886/3000:  30%|██▉       | 886/3000 [06:28<16:26,  2.14it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.61e+6]Epoch 887/3000:  30%|██▉       | 886/3000 [06:28<16:26,  2.14it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.61e+6]Epoch 887/3000:  30%|██▉       | 887/3000 [06:28<15:48,  2.23it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.61e+6]Epoch 887/3000:  30%|██▉       | 887/3000 [06:28<15:48,  2.23it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.61e+6]Epoch 888/3000:  30%|██▉       | 887/3000 [06:28<15:48,  2.23it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.61e+6]Epoch 888/3000:  30%|██▉       | 888/3000 [06:29<15:26,  2.28it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.61e+6]Epoch 888/3000:  30%|██▉       | 888/3000 [06:29<15:26,  2.28it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.61e+6]Epoch 889/3000:  30%|██▉       | 888/3000 [06:29<15:26,  2.28it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.61e+6]Epoch 889/3000:  30%|██▉       | 889/3000 [06:29<14:46,  2.38it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.61e+6]Epoch 889/3000:  30%|██▉       | 889/3000 [06:29<14:46,  2.38it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.6e+6] Epoch 890/3000:  30%|██▉       | 889/3000 [06:29<14:46,  2.38it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.6e+6]Epoch 890/3000:  30%|██▉       | 890/3000 [06:29<14:11,  2.48it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.6e+6]Epoch 890/3000:  30%|██▉       | 890/3000 [06:29<14:11,  2.48it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.6e+6]Epoch 891/3000:  30%|██▉       | 890/3000 [06:29<14:11,  2.48it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.6e+6]Epoch 891/3000:  30%|██▉       | 891/3000 [06:30<16:57,  2.07it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.6e+6]Epoch 891/3000:  30%|██▉       | 891/3000 [06:30<16:57,  2.07it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.6e+6]Epoch 892/3000:  30%|██▉       | 891/3000 [06:30<16:57,  2.07it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.6e+6]Epoch 892/3000:  30%|██▉       | 892/3000 [06:30<16:32,  2.12it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.6e+6]Epoch 892/3000:  30%|██▉       | 892/3000 [06:30<16:32,  2.12it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.6e+6]Epoch 893/3000:  30%|██▉       | 892/3000 [06:30<16:32,  2.12it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.6e+6]Epoch 893/3000:  30%|██▉       | 893/3000 [06:31<16:01,  2.19it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.6e+6]Epoch 893/3000:  30%|██▉       | 893/3000 [06:31<16:01,  2.19it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.6e+6]Epoch 894/3000:  30%|██▉       | 893/3000 [06:31<16:01,  2.19it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.6e+6]Epoch 894/3000:  30%|██▉       | 894/3000 [06:31<17:19,  2.03it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.6e+6]Epoch 894/3000:  30%|██▉       | 894/3000 [06:31<17:19,  2.03it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.6e+6] Epoch 895/3000:  30%|██▉       | 894/3000 [06:31<17:19,  2.03it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.6e+6]Epoch 895/3000:  30%|██▉       | 895/3000 [06:32<17:56,  1.96it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.6e+6]Epoch 895/3000:  30%|██▉       | 895/3000 [06:32<17:56,  1.96it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.6e+6]Epoch 896/3000:  30%|██▉       | 895/3000 [06:32<17:56,  1.96it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.6e+6]Epoch 896/3000:  30%|██▉       | 896/3000 [06:32<16:48,  2.09it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.6e+6]Epoch 896/3000:  30%|██▉       | 896/3000 [06:32<16:48,  2.09it/s, v_num=1, train_loss_step=1.58e+6, train_loss_epoch=1.6e+6]Epoch 897/3000:  30%|██▉       | 896/3000 [06:32<16:48,  2.09it/s, v_num=1, train_loss_step=1.58e+6, train_loss_epoch=1.6e+6]Epoch 897/3000:  30%|██▉       | 897/3000 [06:33<15:27,  2.27it/s, v_num=1, train_loss_step=1.58e+6, train_loss_epoch=1.6e+6]Epoch 897/3000:  30%|██▉       | 897/3000 [06:33<15:27,  2.27it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.6e+6]Epoch 898/3000:  30%|██▉       | 897/3000 [06:33<15:27,  2.27it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.6e+6]Epoch 898/3000:  30%|██▉       | 898/3000 [06:33<16:20,  2.14it/s, v_num=1, train_loss_step=1.67e+6, train_loss_epoch=1.6e+6]Epoch 898/3000:  30%|██▉       | 898/3000 [06:33<16:20,  2.14it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.59e+6]Epoch 899/3000:  30%|██▉       | 898/3000 [06:33<16:20,  2.14it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.59e+6]Epoch 899/3000:  30%|██▉       | 899/3000 [06:34<17:23,  2.01it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.59e+6]Epoch 899/3000:  30%|██▉       | 899/3000 [06:34<17:23,  2.01it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.59e+6]Epoch 900/3000:  30%|██▉       | 899/3000 [06:34<17:23,  2.01it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.59e+6]Epoch 900/3000:  30%|███       | 900/3000 [06:34<17:29,  2.00it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.59e+6]Epoch 900/3000:  30%|███       | 900/3000 [06:34<17:29,  2.00it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.59e+6]Epoch 901/3000:  30%|███       | 900/3000 [06:34<17:29,  2.00it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.59e+6]Epoch 901/3000:  30%|███       | 901/3000 [06:35<16:44,  2.09it/s, v_num=1, train_loss_step=1.62e+6, train_loss_epoch=1.59e+6]Epoch 901/3000:  30%|███       | 901/3000 [06:35<16:44,  2.09it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.59e+6]Epoch 902/3000:  30%|███       | 901/3000 [06:35<16:44,  2.09it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.59e+6]Epoch 902/3000:  30%|███       | 902/3000 [06:35<16:38,  2.10it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.59e+6]Epoch 902/3000:  30%|███       | 902/3000 [06:35<16:38,  2.10it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.59e+6]Epoch 903/3000:  30%|███       | 902/3000 [06:35<16:38,  2.10it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.59e+6]Epoch 903/3000:  30%|███       | 903/3000 [06:36<15:51,  2.20it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.59e+6]Epoch 903/3000:  30%|███       | 903/3000 [06:36<15:51,  2.20it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.59e+6] Epoch 904/3000:  30%|███       | 903/3000 [06:36<15:51,  2.20it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.59e+6]Epoch 904/3000:  30%|███       | 904/3000 [06:36<16:54,  2.07it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.59e+6]Epoch 904/3000:  30%|███       | 904/3000 [06:36<16:54,  2.07it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.59e+6]Epoch 905/3000:  30%|███       | 904/3000 [06:36<16:54,  2.07it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.59e+6]Epoch 905/3000:  30%|███       | 905/3000 [06:37<16:18,  2.14it/s, v_num=1, train_loss_step=1.64e+6, train_loss_epoch=1.59e+6]Epoch 905/3000:  30%|███       | 905/3000 [06:37<16:18,  2.14it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.59e+6]Epoch 906/3000:  30%|███       | 905/3000 [06:37<16:18,  2.14it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.59e+6]Epoch 906/3000:  30%|███       | 906/3000 [06:37<16:23,  2.13it/s, v_num=1, train_loss_step=1.63e+6, train_loss_epoch=1.59e+6]Epoch 906/3000:  30%|███       | 906/3000 [06:37<16:23,  2.13it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.59e+6]Epoch 907/3000:  30%|███       | 906/3000 [06:37<16:23,  2.13it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.59e+6]Epoch 907/3000:  30%|███       | 907/3000 [06:38<17:45,  1.96it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.59e+6]Epoch 907/3000:  30%|███       | 907/3000 [06:38<17:45,  1.96it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.58e+6] Epoch 908/3000:  30%|███       | 907/3000 [06:38<17:45,  1.96it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.58e+6]Epoch 908/3000:  30%|███       | 908/3000 [06:38<18:26,  1.89it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.58e+6]Epoch 908/3000:  30%|███       | 908/3000 [06:38<18:26,  1.89it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.58e+6]Epoch 909/3000:  30%|███       | 908/3000 [06:38<18:26,  1.89it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.58e+6]Epoch 909/3000:  30%|███       | 909/3000 [06:39<16:08,  2.16it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.58e+6]Epoch 909/3000:  30%|███       | 909/3000 [06:39<16:08,  2.16it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.58e+6]Epoch 910/3000:  30%|███       | 909/3000 [06:39<16:08,  2.16it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.58e+6]Epoch 910/3000:  30%|███       | 910/3000 [06:39<16:31,  2.11it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.58e+6]Epoch 910/3000:  30%|███       | 910/3000 [06:39<16:31,  2.11it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.58e+6]Epoch 911/3000:  30%|███       | 910/3000 [06:39<16:31,  2.11it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.58e+6]Epoch 911/3000:  30%|███       | 911/3000 [06:39<13:06,  2.65it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.58e+6]Epoch 911/3000:  30%|███       | 911/3000 [06:39<13:06,  2.65it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.58e+6]Epoch 912/3000:  30%|███       | 911/3000 [06:39<13:06,  2.65it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.58e+6]Epoch 912/3000:  30%|███       | 912/3000 [06:39<11:02,  3.15it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.58e+6]Epoch 912/3000:  30%|███       | 912/3000 [06:39<11:02,  3.15it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.58e+6]Epoch 913/3000:  30%|███       | 912/3000 [06:39<11:02,  3.15it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.58e+6]Epoch 913/3000:  30%|███       | 913/3000 [06:40<09:28,  3.67it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.58e+6]Epoch 913/3000:  30%|███       | 913/3000 [06:40<09:28,  3.67it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.58e+6]Epoch 914/3000:  30%|███       | 913/3000 [06:40<09:28,  3.67it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.58e+6]Epoch 914/3000:  30%|███       | 914/3000 [06:40<08:52,  3.92it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.58e+6]Epoch 914/3000:  30%|███       | 914/3000 [06:40<08:52,  3.92it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.58e+6] Epoch 915/3000:  30%|███       | 914/3000 [06:40<08:52,  3.92it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.58e+6]Epoch 915/3000:  30%|███       | 915/3000 [06:40<10:02,  3.46it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.58e+6]Epoch 915/3000:  30%|███       | 915/3000 [06:40<10:02,  3.46it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.58e+6]Epoch 916/3000:  30%|███       | 915/3000 [06:40<10:02,  3.46it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.58e+6]Epoch 916/3000:  31%|███       | 916/3000 [06:41<13:19,  2.61it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.58e+6]Epoch 916/3000:  31%|███       | 916/3000 [06:41<13:19,  2.61it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.57e+6] Epoch 917/3000:  31%|███       | 916/3000 [06:41<13:19,  2.61it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.57e+6]Epoch 917/3000:  31%|███       | 917/3000 [06:41<15:55,  2.18it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.57e+6]Epoch 917/3000:  31%|███       | 917/3000 [06:41<15:55,  2.18it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.57e+6]Epoch 918/3000:  31%|███       | 917/3000 [06:41<15:55,  2.18it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.57e+6]Epoch 918/3000:  31%|███       | 918/3000 [06:42<15:11,  2.28it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.57e+6]Epoch 918/3000:  31%|███       | 918/3000 [06:42<15:11,  2.28it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.57e+6] Epoch 919/3000:  31%|███       | 918/3000 [06:42<15:11,  2.28it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.57e+6]Epoch 919/3000:  31%|███       | 919/3000 [06:42<15:04,  2.30it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.57e+6]Epoch 919/3000:  31%|███       | 919/3000 [06:42<15:04,  2.30it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.57e+6]Epoch 920/3000:  31%|███       | 919/3000 [06:42<15:04,  2.30it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.57e+6]Epoch 920/3000:  31%|███       | 920/3000 [06:43<15:10,  2.28it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.57e+6]Epoch 920/3000:  31%|███       | 920/3000 [06:43<15:10,  2.28it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.57e+6] Epoch 921/3000:  31%|███       | 920/3000 [06:43<15:10,  2.28it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.57e+6]Epoch 921/3000:  31%|███       | 921/3000 [06:43<16:10,  2.14it/s, v_num=1, train_loss_step=1.6e+6, train_loss_epoch=1.57e+6]Epoch 921/3000:  31%|███       | 921/3000 [06:43<16:10,  2.14it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.57e+6]Epoch 922/3000:  31%|███       | 921/3000 [06:43<16:10,  2.14it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.57e+6]Epoch 922/3000:  31%|███       | 922/3000 [06:44<16:03,  2.16it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.57e+6]Epoch 922/3000:  31%|███       | 922/3000 [06:44<16:03,  2.16it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.57e+6]Epoch 923/3000:  31%|███       | 922/3000 [06:44<16:03,  2.16it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.57e+6]Epoch 923/3000:  31%|███       | 923/3000 [06:44<14:33,  2.38it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.57e+6]Epoch 923/3000:  31%|███       | 923/3000 [06:44<14:33,  2.38it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.57e+6]Epoch 924/3000:  31%|███       | 923/3000 [06:44<14:33,  2.38it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.57e+6]Epoch 924/3000:  31%|███       | 924/3000 [06:44<14:17,  2.42it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.57e+6]Epoch 924/3000:  31%|███       | 924/3000 [06:44<14:17,  2.42it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.57e+6]Epoch 925/3000:  31%|███       | 924/3000 [06:44<14:17,  2.42it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.57e+6]Epoch 925/3000:  31%|███       | 925/3000 [06:45<15:44,  2.20it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.57e+6]Epoch 925/3000:  31%|███       | 925/3000 [06:45<15:44,  2.20it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.57e+6]Epoch 926/3000:  31%|███       | 925/3000 [06:45<15:44,  2.20it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.57e+6]Epoch 926/3000:  31%|███       | 926/3000 [06:45<12:30,  2.76it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.57e+6]Epoch 926/3000:  31%|███       | 926/3000 [06:45<12:30,  2.76it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.56e+6]Epoch 927/3000:  31%|███       | 926/3000 [06:45<12:30,  2.76it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.56e+6]Epoch 927/3000:  31%|███       | 927/3000 [06:45<12:34,  2.75it/s, v_num=1, train_loss_step=1.59e+6, train_loss_epoch=1.56e+6]Epoch 927/3000:  31%|███       | 927/3000 [06:45<12:34,  2.75it/s, v_num=1, train_loss_step=1.58e+6, train_loss_epoch=1.56e+6]Epoch 928/3000:  31%|███       | 927/3000 [06:45<12:34,  2.75it/s, v_num=1, train_loss_step=1.58e+6, train_loss_epoch=1.56e+6]Epoch 928/3000:  31%|███       | 928/3000 [06:46<16:00,  2.16it/s, v_num=1, train_loss_step=1.58e+6, train_loss_epoch=1.56e+6]Epoch 928/3000:  31%|███       | 928/3000 [06:46<16:00,  2.16it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.56e+6]Epoch 929/3000:  31%|███       | 928/3000 [06:46<16:00,  2.16it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.56e+6]Epoch 929/3000:  31%|███       | 929/3000 [06:47<16:53,  2.04it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.56e+6]Epoch 929/3000:  31%|███       | 929/3000 [06:47<16:53,  2.04it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.56e+6]Epoch 930/3000:  31%|███       | 929/3000 [06:47<16:53,  2.04it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.56e+6]Epoch 930/3000:  31%|███       | 930/3000 [06:47<15:44,  2.19it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.56e+6]Epoch 930/3000:  31%|███       | 930/3000 [06:47<15:44,  2.19it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.56e+6]Epoch 931/3000:  31%|███       | 930/3000 [06:47<15:44,  2.19it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.56e+6]Epoch 931/3000:  31%|███       | 931/3000 [06:48<15:45,  2.19it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.56e+6]Epoch 931/3000:  31%|███       | 931/3000 [06:48<15:45,  2.19it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.56e+6]Epoch 932/3000:  31%|███       | 931/3000 [06:48<15:45,  2.19it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.56e+6]Epoch 932/3000:  31%|███       | 932/3000 [06:48<15:51,  2.17it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.56e+6]Epoch 932/3000:  31%|███       | 932/3000 [06:48<15:51,  2.17it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.56e+6]Epoch 933/3000:  31%|███       | 932/3000 [06:48<15:51,  2.17it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.56e+6]Epoch 933/3000:  31%|███       | 933/3000 [06:48<16:06,  2.14it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.56e+6]Epoch 933/3000:  31%|███       | 933/3000 [06:48<16:06,  2.14it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.56e+6]Epoch 934/3000:  31%|███       | 933/3000 [06:49<16:06,  2.14it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.56e+6]Epoch 934/3000:  31%|███       | 934/3000 [06:49<15:11,  2.27it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.56e+6]Epoch 934/3000:  31%|███       | 934/3000 [06:49<15:11,  2.27it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.56e+6]Epoch 935/3000:  31%|███       | 934/3000 [06:49<15:11,  2.27it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.56e+6]Epoch 935/3000:  31%|███       | 935/3000 [06:49<15:31,  2.22it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.56e+6]Epoch 935/3000:  31%|███       | 935/3000 [06:49<15:31,  2.22it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.55e+6]Epoch 936/3000:  31%|███       | 935/3000 [06:49<15:31,  2.22it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.55e+6]Epoch 936/3000:  31%|███       | 936/3000 [06:50<15:48,  2.18it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.55e+6]Epoch 936/3000:  31%|███       | 936/3000 [06:50<15:48,  2.18it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.55e+6]Epoch 937/3000:  31%|███       | 936/3000 [06:50<15:48,  2.18it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.55e+6]Epoch 937/3000:  31%|███       | 937/3000 [06:50<16:36,  2.07it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.55e+6]Epoch 937/3000:  31%|███       | 937/3000 [06:50<16:36,  2.07it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.55e+6]Epoch 938/3000:  31%|███       | 937/3000 [06:50<16:36,  2.07it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.55e+6]Epoch 938/3000:  31%|███▏      | 938/3000 [06:51<16:42,  2.06it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.55e+6]Epoch 938/3000:  31%|███▏      | 938/3000 [06:51<16:42,  2.06it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.55e+6]Epoch 939/3000:  31%|███▏      | 938/3000 [06:51<16:42,  2.06it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.55e+6]Epoch 939/3000:  31%|███▏      | 939/3000 [06:51<16:32,  2.08it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.55e+6]Epoch 939/3000:  31%|███▏      | 939/3000 [06:51<16:32,  2.08it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.55e+6]Epoch 940/3000:  31%|███▏      | 939/3000 [06:51<16:32,  2.08it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.55e+6]Epoch 940/3000:  31%|███▏      | 940/3000 [06:52<18:45,  1.83it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.55e+6]Epoch 940/3000:  31%|███▏      | 940/3000 [06:52<18:45,  1.83it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.55e+6]Epoch 941/3000:  31%|███▏      | 940/3000 [06:52<18:45,  1.83it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.55e+6]Epoch 941/3000:  31%|███▏      | 941/3000 [06:53<18:17,  1.88it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.55e+6]Epoch 941/3000:  31%|███▏      | 941/3000 [06:53<18:17,  1.88it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.55e+6]Epoch 942/3000:  31%|███▏      | 941/3000 [06:53<18:17,  1.88it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.55e+6]Epoch 942/3000:  31%|███▏      | 942/3000 [06:53<18:06,  1.89it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.55e+6]Epoch 942/3000:  31%|███▏      | 942/3000 [06:53<18:06,  1.89it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.55e+6]Epoch 943/3000:  31%|███▏      | 942/3000 [06:53<18:06,  1.89it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.55e+6]Epoch 943/3000:  31%|███▏      | 943/3000 [06:53<15:51,  2.16it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.55e+6]Epoch 943/3000:  31%|███▏      | 943/3000 [06:53<15:51,  2.16it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.55e+6]Epoch 944/3000:  31%|███▏      | 943/3000 [06:53<15:51,  2.16it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.55e+6]Epoch 944/3000:  31%|███▏      | 944/3000 [06:54<15:06,  2.27it/s, v_num=1, train_loss_step=1.61e+6, train_loss_epoch=1.55e+6]Epoch 944/3000:  31%|███▏      | 944/3000 [06:54<15:06,  2.27it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.55e+6]Epoch 945/3000:  31%|███▏      | 944/3000 [06:54<15:06,  2.27it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.55e+6]Epoch 945/3000:  32%|███▏      | 945/3000 [06:54<15:17,  2.24it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.55e+6]Epoch 945/3000:  32%|███▏      | 945/3000 [06:54<15:17,  2.24it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.54e+6]Epoch 946/3000:  32%|███▏      | 945/3000 [06:54<15:17,  2.24it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.54e+6]Epoch 946/3000:  32%|███▏      | 946/3000 [06:55<15:28,  2.21it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.54e+6]Epoch 946/3000:  32%|███▏      | 946/3000 [06:55<15:28,  2.21it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.54e+6]Epoch 947/3000:  32%|███▏      | 946/3000 [06:55<15:28,  2.21it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.54e+6]Epoch 947/3000:  32%|███▏      | 947/3000 [06:55<15:28,  2.21it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.54e+6]Epoch 947/3000:  32%|███▏      | 947/3000 [06:55<15:28,  2.21it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.54e+6]Epoch 948/3000:  32%|███▏      | 947/3000 [06:55<15:28,  2.21it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.54e+6]Epoch 948/3000:  32%|███▏      | 948/3000 [06:55<13:16,  2.58it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.54e+6]Epoch 948/3000:  32%|███▏      | 948/3000 [06:55<13:16,  2.58it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.54e+6]Epoch 949/3000:  32%|███▏      | 948/3000 [06:55<13:16,  2.58it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.54e+6]Epoch 949/3000:  32%|███▏      | 949/3000 [06:56<13:44,  2.49it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.54e+6]Epoch 949/3000:  32%|███▏      | 949/3000 [06:56<13:44,  2.49it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.54e+6]Epoch 950/3000:  32%|███▏      | 949/3000 [06:56<13:44,  2.49it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.54e+6]Epoch 950/3000:  32%|███▏      | 950/3000 [06:56<15:10,  2.25it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.54e+6]Epoch 950/3000:  32%|███▏      | 950/3000 [06:56<15:10,  2.25it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.54e+6]Epoch 951/3000:  32%|███▏      | 950/3000 [06:56<15:10,  2.25it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.54e+6]Epoch 951/3000:  32%|███▏      | 951/3000 [06:57<15:07,  2.26it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.54e+6]Epoch 951/3000:  32%|███▏      | 951/3000 [06:57<15:07,  2.26it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.54e+6]Epoch 952/3000:  32%|███▏      | 951/3000 [06:57<15:07,  2.26it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.54e+6]Epoch 952/3000:  32%|███▏      | 952/3000 [06:57<16:30,  2.07it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.54e+6]Epoch 952/3000:  32%|███▏      | 952/3000 [06:57<16:30,  2.07it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.54e+6]Epoch 953/3000:  32%|███▏      | 952/3000 [06:57<16:30,  2.07it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.54e+6]Epoch 953/3000:  32%|███▏      | 953/3000 [06:58<16:08,  2.11it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.54e+6]Epoch 953/3000:  32%|███▏      | 953/3000 [06:58<16:08,  2.11it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.54e+6]Epoch 954/3000:  32%|███▏      | 953/3000 [06:58<16:08,  2.11it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.54e+6]Epoch 954/3000:  32%|███▏      | 954/3000 [06:58<17:07,  1.99it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.54e+6]Epoch 954/3000:  32%|███▏      | 954/3000 [06:58<17:07,  1.99it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.54e+6]Epoch 955/3000:  32%|███▏      | 954/3000 [06:58<17:07,  1.99it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.54e+6]Epoch 955/3000:  32%|███▏      | 955/3000 [06:59<15:14,  2.24it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.54e+6]Epoch 955/3000:  32%|███▏      | 955/3000 [06:59<15:14,  2.24it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.54e+6]Epoch 956/3000:  32%|███▏      | 955/3000 [06:59<15:14,  2.24it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.54e+6]Epoch 956/3000:  32%|███▏      | 956/3000 [06:59<15:01,  2.27it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.54e+6]Epoch 956/3000:  32%|███▏      | 956/3000 [06:59<15:01,  2.27it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.53e+6]Epoch 957/3000:  32%|███▏      | 956/3000 [06:59<15:01,  2.27it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.53e+6]Epoch 957/3000:  32%|███▏      | 957/3000 [07:00<15:59,  2.13it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.53e+6]Epoch 957/3000:  32%|███▏      | 957/3000 [07:00<15:59,  2.13it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.53e+6]Epoch 958/3000:  32%|███▏      | 957/3000 [07:00<15:59,  2.13it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.53e+6]Epoch 958/3000:  32%|███▏      | 958/3000 [07:00<14:56,  2.28it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.53e+6]Epoch 958/3000:  32%|███▏      | 958/3000 [07:00<14:56,  2.28it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.53e+6]Epoch 959/3000:  32%|███▏      | 958/3000 [07:00<14:56,  2.28it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.53e+6]Epoch 959/3000:  32%|███▏      | 959/3000 [07:00<13:58,  2.43it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.53e+6]Epoch 959/3000:  32%|███▏      | 959/3000 [07:00<13:58,  2.43it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.53e+6]Epoch 960/3000:  32%|███▏      | 959/3000 [07:00<13:58,  2.43it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.53e+6]Epoch 960/3000:  32%|███▏      | 960/3000 [07:01<12:45,  2.67it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.53e+6]Epoch 960/3000:  32%|███▏      | 960/3000 [07:01<12:45,  2.67it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.53e+6]Epoch 961/3000:  32%|███▏      | 960/3000 [07:01<12:45,  2.67it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.53e+6]Epoch 961/3000:  32%|███▏      | 961/3000 [07:01<12:56,  2.63it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.53e+6]Epoch 961/3000:  32%|███▏      | 961/3000 [07:01<12:56,  2.63it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.53e+6]Epoch 962/3000:  32%|███▏      | 961/3000 [07:01<12:56,  2.63it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.53e+6]Epoch 962/3000:  32%|███▏      | 962/3000 [07:01<13:35,  2.50it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.53e+6]Epoch 962/3000:  32%|███▏      | 962/3000 [07:01<13:35,  2.50it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.53e+6]Epoch 963/3000:  32%|███▏      | 962/3000 [07:02<13:35,  2.50it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.53e+6]Epoch 963/3000:  32%|███▏      | 963/3000 [07:02<14:00,  2.42it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.53e+6]Epoch 963/3000:  32%|███▏      | 963/3000 [07:02<14:00,  2.42it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.53e+6]Epoch 964/3000:  32%|███▏      | 963/3000 [07:02<14:00,  2.42it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.53e+6]Epoch 964/3000:  32%|███▏      | 964/3000 [07:03<17:07,  1.98it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.53e+6]Epoch 964/3000:  32%|███▏      | 964/3000 [07:03<17:07,  1.98it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.53e+6]Epoch 965/3000:  32%|███▏      | 964/3000 [07:03<17:07,  1.98it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.53e+6]Epoch 965/3000:  32%|███▏      | 965/3000 [07:03<16:10,  2.10it/s, v_num=1, train_loss_step=1.57e+6, train_loss_epoch=1.53e+6]Epoch 965/3000:  32%|███▏      | 965/3000 [07:03<16:10,  2.10it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.53e+6]Epoch 966/3000:  32%|███▏      | 965/3000 [07:03<16:10,  2.10it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.53e+6]Epoch 966/3000:  32%|███▏      | 966/3000 [07:04<17:05,  1.98it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.53e+6]Epoch 966/3000:  32%|███▏      | 966/3000 [07:04<17:05,  1.98it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 967/3000:  32%|███▏      | 966/3000 [07:04<17:05,  1.98it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 967/3000:  32%|███▏      | 967/3000 [07:04<16:07,  2.10it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 967/3000:  32%|███▏      | 967/3000 [07:04<16:07,  2.10it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.52e+6]Epoch 968/3000:  32%|███▏      | 967/3000 [07:04<16:07,  2.10it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.52e+6]Epoch 968/3000:  32%|███▏      | 968/3000 [07:04<14:58,  2.26it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.52e+6]Epoch 968/3000:  32%|███▏      | 968/3000 [07:04<14:58,  2.26it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.52e+6]Epoch 969/3000:  32%|███▏      | 968/3000 [07:04<14:58,  2.26it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.52e+6]Epoch 969/3000:  32%|███▏      | 969/3000 [07:05<15:27,  2.19it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.52e+6]Epoch 969/3000:  32%|███▏      | 969/3000 [07:05<15:27,  2.19it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.52e+6]Epoch 970/3000:  32%|███▏      | 969/3000 [07:05<15:27,  2.19it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.52e+6]Epoch 970/3000:  32%|███▏      | 970/3000 [07:05<16:15,  2.08it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.52e+6]Epoch 970/3000:  32%|███▏      | 970/3000 [07:05<16:15,  2.08it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 971/3000:  32%|███▏      | 970/3000 [07:05<16:15,  2.08it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 971/3000:  32%|███▏      | 971/3000 [07:06<15:30,  2.18it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 971/3000:  32%|███▏      | 971/3000 [07:06<15:30,  2.18it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.52e+6]Epoch 972/3000:  32%|███▏      | 971/3000 [07:06<15:30,  2.18it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.52e+6]Epoch 972/3000:  32%|███▏      | 972/3000 [07:06<14:39,  2.30it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.52e+6]Epoch 972/3000:  32%|███▏      | 972/3000 [07:06<14:39,  2.30it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 973/3000:  32%|███▏      | 972/3000 [07:06<14:39,  2.30it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 973/3000:  32%|███▏      | 973/3000 [07:07<13:25,  2.52it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 973/3000:  32%|███▏      | 973/3000 [07:07<13:25,  2.52it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 974/3000:  32%|███▏      | 973/3000 [07:07<13:25,  2.52it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 974/3000:  32%|███▏      | 974/3000 [07:07<15:43,  2.15it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 974/3000:  32%|███▏      | 974/3000 [07:07<15:43,  2.15it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.52e+6]Epoch 975/3000:  32%|███▏      | 974/3000 [07:07<15:43,  2.15it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.52e+6]Epoch 975/3000:  32%|███▎      | 975/3000 [07:07<14:25,  2.34it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.52e+6]Epoch 975/3000:  32%|███▎      | 975/3000 [07:07<14:25,  2.34it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 976/3000:  32%|███▎      | 975/3000 [07:08<14:25,  2.34it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 976/3000:  33%|███▎      | 976/3000 [07:08<17:06,  1.97it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.52e+6]Epoch 976/3000:  33%|███▎      | 976/3000 [07:08<17:06,  1.97it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.52e+6]Epoch 977/3000:  33%|███▎      | 976/3000 [07:08<17:06,  1.97it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.52e+6]Epoch 977/3000:  33%|███▎      | 977/3000 [07:09<17:13,  1.96it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.52e+6]Epoch 977/3000:  33%|███▎      | 977/3000 [07:09<17:13,  1.96it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.51e+6]Epoch 978/3000:  33%|███▎      | 977/3000 [07:09<17:13,  1.96it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.51e+6]Epoch 978/3000:  33%|███▎      | 978/3000 [07:09<18:23,  1.83it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.51e+6]Epoch 978/3000:  33%|███▎      | 978/3000 [07:09<18:23,  1.83it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.51e+6] Epoch 979/3000:  33%|███▎      | 978/3000 [07:09<18:23,  1.83it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.51e+6]Epoch 979/3000:  33%|███▎      | 979/3000 [07:10<16:58,  1.98it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.51e+6]Epoch 979/3000:  33%|███▎      | 979/3000 [07:10<16:58,  1.98it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.51e+6]Epoch 980/3000:  33%|███▎      | 979/3000 [07:10<16:58,  1.98it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.51e+6]Epoch 980/3000:  33%|███▎      | 980/3000 [07:10<17:17,  1.95it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.51e+6]Epoch 980/3000:  33%|███▎      | 980/3000 [07:10<17:17,  1.95it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.51e+6]Epoch 981/3000:  33%|███▎      | 980/3000 [07:10<17:17,  1.95it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.51e+6]Epoch 981/3000:  33%|███▎      | 981/3000 [07:11<15:15,  2.21it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.51e+6]Epoch 981/3000:  33%|███▎      | 981/3000 [07:11<15:15,  2.21it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.51e+6]Epoch 982/3000:  33%|███▎      | 981/3000 [07:11<15:15,  2.21it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.51e+6]Epoch 982/3000:  33%|███▎      | 982/3000 [07:11<15:03,  2.23it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.51e+6]Epoch 982/3000:  33%|███▎      | 982/3000 [07:11<15:03,  2.23it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.51e+6]Epoch 983/3000:  33%|███▎      | 982/3000 [07:11<15:03,  2.23it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.51e+6]Epoch 983/3000:  33%|███▎      | 983/3000 [07:11<13:36,  2.47it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.51e+6]Epoch 983/3000:  33%|███▎      | 983/3000 [07:11<13:36,  2.47it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.51e+6]Epoch 984/3000:  33%|███▎      | 983/3000 [07:11<13:36,  2.47it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.51e+6]Epoch 984/3000:  33%|███▎      | 984/3000 [07:12<12:28,  2.69it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.51e+6]Epoch 984/3000:  33%|███▎      | 984/3000 [07:12<12:28,  2.69it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.51e+6] Epoch 985/3000:  33%|███▎      | 984/3000 [07:12<12:28,  2.69it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.51e+6]Epoch 985/3000:  33%|███▎      | 985/3000 [07:12<12:46,  2.63it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.51e+6]Epoch 985/3000:  33%|███▎      | 985/3000 [07:12<12:46,  2.63it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.51e+6]Epoch 986/3000:  33%|███▎      | 985/3000 [07:12<12:46,  2.63it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.51e+6]Epoch 986/3000:  33%|███▎      | 986/3000 [07:13<14:43,  2.28it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.51e+6]Epoch 986/3000:  33%|███▎      | 986/3000 [07:13<14:43,  2.28it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.51e+6]Epoch 987/3000:  33%|███▎      | 986/3000 [07:13<14:43,  2.28it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.51e+6]Epoch 987/3000:  33%|███▎      | 987/3000 [07:13<16:50,  1.99it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.51e+6]Epoch 987/3000:  33%|███▎      | 987/3000 [07:13<16:50,  1.99it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.51e+6]Epoch 988/3000:  33%|███▎      | 987/3000 [07:13<16:50,  1.99it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.51e+6]Epoch 988/3000:  33%|███▎      | 988/3000 [07:14<17:39,  1.90it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.51e+6]Epoch 988/3000:  33%|███▎      | 988/3000 [07:14<17:39,  1.90it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.5e+6]  Epoch 989/3000:  33%|███▎      | 988/3000 [07:14<17:39,  1.90it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.5e+6]Epoch 989/3000:  33%|███▎      | 989/3000 [07:14<16:20,  2.05it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.5e+6]Epoch 989/3000:  33%|███▎      | 989/3000 [07:14<16:20,  2.05it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.5e+6]Epoch 990/3000:  33%|███▎      | 989/3000 [07:14<16:20,  2.05it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.5e+6]Epoch 990/3000:  33%|███▎      | 990/3000 [07:15<16:57,  1.98it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.5e+6]Epoch 990/3000:  33%|███▎      | 990/3000 [07:15<16:57,  1.98it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.5e+6]Epoch 991/3000:  33%|███▎      | 990/3000 [07:15<16:57,  1.98it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.5e+6]Epoch 991/3000:  33%|███▎      | 991/3000 [07:15<17:20,  1.93it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.5e+6]Epoch 991/3000:  33%|███▎      | 991/3000 [07:15<17:20,  1.93it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.5e+6]Epoch 992/3000:  33%|███▎      | 991/3000 [07:15<17:20,  1.93it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.5e+6]Epoch 992/3000:  33%|███▎      | 992/3000 [07:16<17:29,  1.91it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.5e+6]Epoch 992/3000:  33%|███▎      | 992/3000 [07:16<17:29,  1.91it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.5e+6]Epoch 993/3000:  33%|███▎      | 992/3000 [07:16<17:29,  1.91it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.5e+6]Epoch 993/3000:  33%|███▎      | 993/3000 [07:16<16:51,  1.98it/s, v_num=1, train_loss_step=1.56e+6, train_loss_epoch=1.5e+6]Epoch 993/3000:  33%|███▎      | 993/3000 [07:16<16:51,  1.98it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.5e+6]Epoch 994/3000:  33%|███▎      | 993/3000 [07:16<16:51,  1.98it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.5e+6]Epoch 994/3000:  33%|███▎      | 994/3000 [07:17<15:59,  2.09it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.5e+6]Epoch 994/3000:  33%|███▎      | 994/3000 [07:17<15:59,  2.09it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.5e+6]Epoch 995/3000:  33%|███▎      | 994/3000 [07:17<15:59,  2.09it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.5e+6]Epoch 995/3000:  33%|███▎      | 995/3000 [07:17<16:02,  2.08it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.5e+6]Epoch 995/3000:  33%|███▎      | 995/3000 [07:17<16:02,  2.08it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.5e+6]Epoch 996/3000:  33%|███▎      | 995/3000 [07:17<16:02,  2.08it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.5e+6]Epoch 996/3000:  33%|███▎      | 996/3000 [07:18<17:31,  1.91it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.5e+6]Epoch 996/3000:  33%|███▎      | 996/3000 [07:18<17:31,  1.91it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.5e+6]Epoch 997/3000:  33%|███▎      | 996/3000 [07:18<17:31,  1.91it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.5e+6]Epoch 997/3000:  33%|███▎      | 997/3000 [07:18<18:07,  1.84it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.5e+6]Epoch 997/3000:  33%|███▎      | 997/3000 [07:18<18:07,  1.84it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.5e+6]Epoch 998/3000:  33%|███▎      | 997/3000 [07:18<18:07,  1.84it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.5e+6]Epoch 998/3000:  33%|███▎      | 998/3000 [07:19<17:59,  1.85it/s, v_num=1, train_loss_step=1.55e+6, train_loss_epoch=1.5e+6]Epoch 998/3000:  33%|███▎      | 998/3000 [07:19<17:59,  1.85it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.5e+6]Epoch 999/3000:  33%|███▎      | 998/3000 [07:19<17:59,  1.85it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.5e+6]Epoch 999/3000:  33%|███▎      | 999/3000 [07:20<19:03,  1.75it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.5e+6]Epoch 999/3000:  33%|███▎      | 999/3000 [07:20<19:03,  1.75it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.5e+6]Epoch 1000/3000:  33%|███▎      | 999/3000 [07:20<19:03,  1.75it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.5e+6]Epoch 1000/3000:  33%|███▎      | 1000/3000 [07:20<16:37,  2.00it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.5e+6]Epoch 1000/3000:  33%|███▎      | 1000/3000 [07:20<16:37,  2.00it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.49e+6]Epoch 1001/3000:  33%|███▎      | 1000/3000 [07:20<16:37,  2.00it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.49e+6]Epoch 1001/3000:  33%|███▎      | 1001/3000 [07:20<16:38,  2.00it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.49e+6]Epoch 1001/3000:  33%|███▎      | 1001/3000 [07:20<16:38,  2.00it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.49e+6]Epoch 1002/3000:  33%|███▎      | 1001/3000 [07:20<16:38,  2.00it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.49e+6]Epoch 1002/3000:  33%|███▎      | 1002/3000 [07:21<14:27,  2.30it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.49e+6]Epoch 1002/3000:  33%|███▎      | 1002/3000 [07:21<14:27,  2.30it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.49e+6] Epoch 1003/3000:  33%|███▎      | 1002/3000 [07:21<14:27,  2.30it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.49e+6]Epoch 1003/3000:  33%|███▎      | 1003/3000 [07:21<11:34,  2.88it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.49e+6]Epoch 1003/3000:  33%|███▎      | 1003/3000 [07:21<11:34,  2.88it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.49e+6]Epoch 1004/3000:  33%|███▎      | 1003/3000 [07:21<11:34,  2.88it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.49e+6]Epoch 1004/3000:  33%|███▎      | 1004/3000 [07:21<11:59,  2.78it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.49e+6]Epoch 1004/3000:  33%|███▎      | 1004/3000 [07:21<11:59,  2.78it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.49e+6]Epoch 1005/3000:  33%|███▎      | 1004/3000 [07:21<11:59,  2.78it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.49e+6]Epoch 1005/3000:  34%|███▎      | 1005/3000 [07:22<12:27,  2.67it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.49e+6]Epoch 1005/3000:  34%|███▎      | 1005/3000 [07:22<12:27,  2.67it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.49e+6]Epoch 1006/3000:  34%|███▎      | 1005/3000 [07:22<12:27,  2.67it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.49e+6]Epoch 1006/3000:  34%|███▎      | 1006/3000 [07:22<12:45,  2.60it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.49e+6]Epoch 1006/3000:  34%|███▎      | 1006/3000 [07:22<12:45,  2.60it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.49e+6]Epoch 1007/3000:  34%|███▎      | 1006/3000 [07:22<12:45,  2.60it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.49e+6]Epoch 1007/3000:  34%|███▎      | 1007/3000 [07:23<13:12,  2.51it/s, v_num=1, train_loss_step=1.52e+6, train_loss_epoch=1.49e+6]Epoch 1007/3000:  34%|███▎      | 1007/3000 [07:23<13:12,  2.51it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.49e+6]Epoch 1008/3000:  34%|███▎      | 1007/3000 [07:23<13:12,  2.51it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.49e+6]Epoch 1008/3000:  34%|███▎      | 1008/3000 [07:23<13:49,  2.40it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.49e+6]Epoch 1008/3000:  34%|███▎      | 1008/3000 [07:23<13:49,  2.40it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.49e+6]Epoch 1009/3000:  34%|███▎      | 1008/3000 [07:23<13:49,  2.40it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.49e+6]Epoch 1009/3000:  34%|███▎      | 1009/3000 [07:24<16:09,  2.05it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.49e+6]Epoch 1009/3000:  34%|███▎      | 1009/3000 [07:24<16:09,  2.05it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.49e+6] Epoch 1010/3000:  34%|███▎      | 1009/3000 [07:24<16:09,  2.05it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.49e+6]Epoch 1010/3000:  34%|███▎      | 1010/3000 [07:24<17:41,  1.88it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.49e+6]Epoch 1010/3000:  34%|███▎      | 1010/3000 [07:24<17:41,  1.88it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.49e+6]Epoch 1011/3000:  34%|███▎      | 1010/3000 [07:24<17:41,  1.88it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.49e+6]Epoch 1011/3000:  34%|███▎      | 1011/3000 [07:25<16:38,  1.99it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.49e+6]Epoch 1011/3000:  34%|███▎      | 1011/3000 [07:25<16:38,  1.99it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.48e+6]Epoch 1012/3000:  34%|███▎      | 1011/3000 [07:25<16:38,  1.99it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.48e+6]Epoch 1012/3000:  34%|███▎      | 1012/3000 [07:25<16:26,  2.02it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.48e+6]Epoch 1012/3000:  34%|███▎      | 1012/3000 [07:25<16:26,  2.02it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.48e+6]Epoch 1013/3000:  34%|███▎      | 1012/3000 [07:25<16:26,  2.02it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.48e+6]Epoch 1013/3000:  34%|███▍      | 1013/3000 [07:26<15:42,  2.11it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.48e+6]Epoch 1013/3000:  34%|███▍      | 1013/3000 [07:26<15:42,  2.11it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.48e+6]Epoch 1014/3000:  34%|███▍      | 1013/3000 [07:26<15:42,  2.11it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.48e+6]Epoch 1014/3000:  34%|███▍      | 1014/3000 [07:26<15:27,  2.14it/s, v_num=1, train_loss_step=1.54e+6, train_loss_epoch=1.48e+6]Epoch 1014/3000:  34%|███▍      | 1014/3000 [07:26<15:27,  2.14it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.48e+6]Epoch 1015/3000:  34%|███▍      | 1014/3000 [07:26<15:27,  2.14it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.48e+6]Epoch 1015/3000:  34%|███▍      | 1015/3000 [07:27<16:30,  2.00it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.48e+6]Epoch 1015/3000:  34%|███▍      | 1015/3000 [07:27<16:30,  2.00it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.48e+6]Epoch 1016/3000:  34%|███▍      | 1015/3000 [07:27<16:30,  2.00it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.48e+6]Epoch 1016/3000:  34%|███▍      | 1016/3000 [07:27<16:00,  2.07it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.48e+6]Epoch 1016/3000:  34%|███▍      | 1016/3000 [07:27<16:00,  2.07it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.48e+6]Epoch 1017/3000:  34%|███▍      | 1016/3000 [07:27<16:00,  2.07it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.48e+6]Epoch 1017/3000:  34%|███▍      | 1017/3000 [07:28<15:32,  2.13it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.48e+6]Epoch 1017/3000:  34%|███▍      | 1017/3000 [07:28<15:32,  2.13it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.48e+6]Epoch 1018/3000:  34%|███▍      | 1017/3000 [07:28<15:32,  2.13it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.48e+6]Epoch 1018/3000:  34%|███▍      | 1018/3000 [07:28<14:43,  2.24it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.48e+6]Epoch 1018/3000:  34%|███▍      | 1018/3000 [07:28<14:43,  2.24it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.48e+6]Epoch 1019/3000:  34%|███▍      | 1018/3000 [07:28<14:43,  2.24it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.48e+6]Epoch 1019/3000:  34%|███▍      | 1019/3000 [07:28<16:01,  2.06it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.48e+6]Epoch 1019/3000:  34%|███▍      | 1019/3000 [07:28<16:01,  2.06it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.48e+6]Epoch 1020/3000:  34%|███▍      | 1019/3000 [07:28<16:01,  2.06it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.48e+6]Epoch 1020/3000:  34%|███▍      | 1020/3000 [07:29<17:00,  1.94it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.48e+6]Epoch 1020/3000:  34%|███▍      | 1020/3000 [07:29<17:00,  1.94it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.48e+6]Epoch 1021/3000:  34%|███▍      | 1020/3000 [07:29<17:00,  1.94it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.48e+6]Epoch 1021/3000:  34%|███▍      | 1021/3000 [07:30<19:10,  1.72it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.48e+6]Epoch 1021/3000:  34%|███▍      | 1021/3000 [07:30<19:10,  1.72it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.48e+6]Epoch 1022/3000:  34%|███▍      | 1021/3000 [07:30<19:10,  1.72it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.48e+6]Epoch 1022/3000:  34%|███▍      | 1022/3000 [07:30<18:56,  1.74it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.48e+6]Epoch 1022/3000:  34%|███▍      | 1022/3000 [07:30<18:56,  1.74it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.48e+6]Epoch 1023/3000:  34%|███▍      | 1022/3000 [07:30<18:56,  1.74it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.48e+6]Epoch 1023/3000:  34%|███▍      | 1023/3000 [07:31<18:42,  1.76it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.48e+6]Epoch 1023/3000:  34%|███▍      | 1023/3000 [07:31<18:42,  1.76it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.47e+6] Epoch 1024/3000:  34%|███▍      | 1023/3000 [07:31<18:42,  1.76it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.47e+6]Epoch 1024/3000:  34%|███▍      | 1024/3000 [07:31<16:27,  2.00it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.47e+6]Epoch 1024/3000:  34%|███▍      | 1024/3000 [07:31<16:27,  2.00it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.47e+6]Epoch 1025/3000:  34%|███▍      | 1024/3000 [07:31<16:27,  2.00it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.47e+6]Epoch 1025/3000:  34%|███▍      | 1025/3000 [07:32<16:01,  2.06it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.47e+6]Epoch 1025/3000:  34%|███▍      | 1025/3000 [07:32<16:01,  2.06it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.47e+6]Epoch 1026/3000:  34%|███▍      | 1025/3000 [07:32<16:01,  2.06it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.47e+6]Epoch 1026/3000:  34%|███▍      | 1026/3000 [07:32<15:57,  2.06it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.47e+6]Epoch 1026/3000:  34%|███▍      | 1026/3000 [07:32<15:57,  2.06it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.47e+6]Epoch 1027/3000:  34%|███▍      | 1026/3000 [07:32<15:57,  2.06it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.47e+6]Epoch 1027/3000:  34%|███▍      | 1027/3000 [07:33<16:02,  2.05it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.47e+6]Epoch 1027/3000:  34%|███▍      | 1027/3000 [07:33<16:02,  2.05it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.47e+6]Epoch 1028/3000:  34%|███▍      | 1027/3000 [07:33<16:02,  2.05it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.47e+6]Epoch 1028/3000:  34%|███▍      | 1028/3000 [07:33<15:24,  2.13it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.47e+6]Epoch 1028/3000:  34%|███▍      | 1028/3000 [07:33<15:24,  2.13it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.47e+6]Epoch 1029/3000:  34%|███▍      | 1028/3000 [07:33<15:24,  2.13it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.47e+6]Epoch 1029/3000:  34%|███▍      | 1029/3000 [07:34<15:04,  2.18it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.47e+6]Epoch 1029/3000:  34%|███▍      | 1029/3000 [07:34<15:04,  2.18it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.47e+6]Epoch 1030/3000:  34%|███▍      | 1029/3000 [07:34<15:04,  2.18it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.47e+6]Epoch 1030/3000:  34%|███▍      | 1030/3000 [07:34<15:09,  2.17it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.47e+6]Epoch 1030/3000:  34%|███▍      | 1030/3000 [07:34<15:09,  2.17it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.47e+6]Epoch 1031/3000:  34%|███▍      | 1030/3000 [07:34<15:09,  2.17it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.47e+6]Epoch 1031/3000:  34%|███▍      | 1031/3000 [07:34<14:16,  2.30it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.47e+6]Epoch 1031/3000:  34%|███▍      | 1031/3000 [07:34<14:16,  2.30it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.47e+6]Epoch 1032/3000:  34%|███▍      | 1031/3000 [07:34<14:16,  2.30it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.47e+6]Epoch 1032/3000:  34%|███▍      | 1032/3000 [07:35<15:39,  2.10it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.47e+6]Epoch 1032/3000:  34%|███▍      | 1032/3000 [07:35<15:39,  2.10it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.47e+6]Epoch 1033/3000:  34%|███▍      | 1032/3000 [07:35<15:39,  2.10it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.47e+6]Epoch 1033/3000:  34%|███▍      | 1033/3000 [07:35<15:14,  2.15it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.47e+6]Epoch 1033/3000:  34%|███▍      | 1033/3000 [07:35<15:14,  2.15it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.47e+6]Epoch 1034/3000:  34%|███▍      | 1033/3000 [07:35<15:14,  2.15it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.47e+6]Epoch 1034/3000:  34%|███▍      | 1034/3000 [07:36<13:30,  2.43it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.47e+6]Epoch 1034/3000:  34%|███▍      | 1034/3000 [07:36<13:30,  2.43it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.47e+6]Epoch 1035/3000:  34%|███▍      | 1034/3000 [07:36<13:30,  2.43it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.47e+6]Epoch 1035/3000:  34%|███▍      | 1035/3000 [07:36<11:23,  2.87it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.47e+6]Epoch 1035/3000:  34%|███▍      | 1035/3000 [07:36<11:23,  2.87it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.47e+6]Epoch 1036/3000:  34%|███▍      | 1035/3000 [07:36<11:23,  2.87it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.47e+6]Epoch 1036/3000:  35%|███▍      | 1036/3000 [07:36<11:42,  2.80it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.47e+6]Epoch 1036/3000:  35%|███▍      | 1036/3000 [07:36<11:42,  2.80it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.46e+6]Epoch 1037/3000:  35%|███▍      | 1036/3000 [07:36<11:42,  2.80it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.46e+6]Epoch 1037/3000:  35%|███▍      | 1037/3000 [07:37<13:28,  2.43it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.46e+6]Epoch 1037/3000:  35%|███▍      | 1037/3000 [07:37<13:28,  2.43it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.46e+6]Epoch 1038/3000:  35%|███▍      | 1037/3000 [07:37<13:28,  2.43it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.46e+6]Epoch 1038/3000:  35%|███▍      | 1038/3000 [07:37<14:20,  2.28it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.46e+6]Epoch 1038/3000:  35%|███▍      | 1038/3000 [07:37<14:20,  2.28it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.46e+6] Epoch 1039/3000:  35%|███▍      | 1038/3000 [07:37<14:20,  2.28it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.46e+6]Epoch 1039/3000:  35%|███▍      | 1039/3000 [07:38<13:33,  2.41it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.46e+6]Epoch 1039/3000:  35%|███▍      | 1039/3000 [07:38<13:33,  2.41it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.46e+6]Epoch 1040/3000:  35%|███▍      | 1039/3000 [07:38<13:33,  2.41it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.46e+6]Epoch 1040/3000:  35%|███▍      | 1040/3000 [07:38<11:38,  2.81it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.46e+6]Epoch 1040/3000:  35%|███▍      | 1040/3000 [07:38<11:38,  2.81it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.46e+6]Epoch 1041/3000:  35%|███▍      | 1040/3000 [07:38<11:38,  2.81it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.46e+6]Epoch 1041/3000:  35%|███▍      | 1041/3000 [07:38<13:23,  2.44it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.46e+6]Epoch 1041/3000:  35%|███▍      | 1041/3000 [07:38<13:23,  2.44it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.46e+6]Epoch 1042/3000:  35%|███▍      | 1041/3000 [07:38<13:23,  2.44it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.46e+6]Epoch 1042/3000:  35%|███▍      | 1042/3000 [07:39<14:23,  2.27it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.46e+6]Epoch 1042/3000:  35%|███▍      | 1042/3000 [07:39<14:23,  2.27it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.46e+6]Epoch 1043/3000:  35%|███▍      | 1042/3000 [07:39<14:23,  2.27it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.46e+6]Epoch 1043/3000:  35%|███▍      | 1043/3000 [07:40<16:28,  1.98it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.46e+6]Epoch 1043/3000:  35%|███▍      | 1043/3000 [07:40<16:28,  1.98it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.46e+6] Epoch 1044/3000:  35%|███▍      | 1043/3000 [07:40<16:28,  1.98it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.46e+6]Epoch 1044/3000:  35%|███▍      | 1044/3000 [07:40<15:51,  2.06it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.46e+6]Epoch 1044/3000:  35%|███▍      | 1044/3000 [07:40<15:51,  2.06it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.46e+6]Epoch 1045/3000:  35%|███▍      | 1044/3000 [07:40<15:51,  2.06it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.46e+6]Epoch 1045/3000:  35%|███▍      | 1045/3000 [07:41<16:51,  1.93it/s, v_num=1, train_loss_step=1.51e+6, train_loss_epoch=1.46e+6]Epoch 1045/3000:  35%|███▍      | 1045/3000 [07:41<16:51,  1.93it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.46e+6]Epoch 1046/3000:  35%|███▍      | 1045/3000 [07:41<16:51,  1.93it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.46e+6]Epoch 1046/3000:  35%|███▍      | 1046/3000 [07:41<17:07,  1.90it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.46e+6]Epoch 1046/3000:  35%|███▍      | 1046/3000 [07:41<17:07,  1.90it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.46e+6]Epoch 1047/3000:  35%|███▍      | 1046/3000 [07:41<17:07,  1.90it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.46e+6]Epoch 1047/3000:  35%|███▍      | 1047/3000 [07:42<16:46,  1.94it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.46e+6]Epoch 1047/3000:  35%|███▍      | 1047/3000 [07:42<16:46,  1.94it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.46e+6]Epoch 1048/3000:  35%|███▍      | 1047/3000 [07:42<16:46,  1.94it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.46e+6]Epoch 1048/3000:  35%|███▍      | 1048/3000 [07:42<15:26,  2.11it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.46e+6]Epoch 1048/3000:  35%|███▍      | 1048/3000 [07:42<15:26,  2.11it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.46e+6] Epoch 1049/3000:  35%|███▍      | 1048/3000 [07:42<15:26,  2.11it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.46e+6]Epoch 1049/3000:  35%|███▍      | 1049/3000 [07:43<15:31,  2.10it/s, v_num=1, train_loss_step=1.5e+6, train_loss_epoch=1.46e+6]Epoch 1049/3000:  35%|███▍      | 1049/3000 [07:43<15:31,  2.10it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.45e+6]Epoch 1050/3000:  35%|███▍      | 1049/3000 [07:43<15:31,  2.10it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.45e+6]Epoch 1050/3000:  35%|███▌      | 1050/3000 [07:43<14:29,  2.24it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.45e+6]Epoch 1050/3000:  35%|███▌      | 1050/3000 [07:43<14:29,  2.24it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.45e+6]Epoch 1051/3000:  35%|███▌      | 1050/3000 [07:43<14:29,  2.24it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.45e+6]Epoch 1051/3000:  35%|███▌      | 1051/3000 [07:43<15:59,  2.03it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.45e+6]Epoch 1051/3000:  35%|███▌      | 1051/3000 [07:44<15:59,  2.03it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.45e+6]Epoch 1052/3000:  35%|███▌      | 1051/3000 [07:44<15:59,  2.03it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.45e+6]Epoch 1052/3000:  35%|███▌      | 1052/3000 [07:44<16:30,  1.97it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.45e+6]Epoch 1052/3000:  35%|███▌      | 1052/3000 [07:44<16:30,  1.97it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.45e+6]Epoch 1053/3000:  35%|███▌      | 1052/3000 [07:44<16:30,  1.97it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.45e+6]Epoch 1053/3000:  35%|███▌      | 1053/3000 [07:45<17:39,  1.84it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.45e+6]Epoch 1053/3000:  35%|███▌      | 1053/3000 [07:45<17:39,  1.84it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.45e+6]Epoch 1054/3000:  35%|███▌      | 1053/3000 [07:45<17:39,  1.84it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.45e+6]Epoch 1054/3000:  35%|███▌      | 1054/3000 [07:45<18:03,  1.80it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.45e+6]Epoch 1054/3000:  35%|███▌      | 1054/3000 [07:45<18:03,  1.80it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.45e+6]Epoch 1055/3000:  35%|███▌      | 1054/3000 [07:45<18:03,  1.80it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.45e+6]Epoch 1055/3000:  35%|███▌      | 1055/3000 [07:46<17:28,  1.85it/s, v_num=1, train_loss_step=1.53e+6, train_loss_epoch=1.45e+6]Epoch 1055/3000:  35%|███▌      | 1055/3000 [07:46<17:28,  1.85it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.45e+6]Epoch 1056/3000:  35%|███▌      | 1055/3000 [07:46<17:28,  1.85it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.45e+6]Epoch 1056/3000:  35%|███▌      | 1056/3000 [07:46<17:18,  1.87it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.45e+6]Epoch 1056/3000:  35%|███▌      | 1056/3000 [07:46<17:18,  1.87it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.45e+6]Epoch 1057/3000:  35%|███▌      | 1056/3000 [07:46<17:18,  1.87it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.45e+6]Epoch 1057/3000:  35%|███▌      | 1057/3000 [07:47<16:19,  1.98it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.45e+6]Epoch 1057/3000:  35%|███▌      | 1057/3000 [07:47<16:19,  1.98it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.45e+6]Epoch 1058/3000:  35%|███▌      | 1057/3000 [07:47<16:19,  1.98it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.45e+6]Epoch 1058/3000:  35%|███▌      | 1058/3000 [07:47<16:43,  1.94it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.45e+6]Epoch 1058/3000:  35%|███▌      | 1058/3000 [07:47<16:43,  1.94it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.45e+6]Epoch 1059/3000:  35%|███▌      | 1058/3000 [07:47<16:43,  1.94it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.45e+6]Epoch 1059/3000:  35%|███▌      | 1059/3000 [07:48<15:13,  2.13it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.45e+6]Epoch 1059/3000:  35%|███▌      | 1059/3000 [07:48<15:13,  2.13it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.45e+6]Epoch 1060/3000:  35%|███▌      | 1059/3000 [07:48<15:13,  2.13it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.45e+6]Epoch 1060/3000:  35%|███▌      | 1060/3000 [07:48<13:50,  2.34it/s, v_num=1, train_loss_step=1.49e+6, train_loss_epoch=1.45e+6]Epoch 1060/3000:  35%|███▌      | 1060/3000 [07:48<13:50,  2.34it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.45e+6]Epoch 1061/3000:  35%|███▌      | 1060/3000 [07:48<13:50,  2.34it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.45e+6]Epoch 1061/3000:  35%|███▌      | 1061/3000 [07:48<13:39,  2.37it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.45e+6]Epoch 1061/3000:  35%|███▌      | 1061/3000 [07:48<13:39,  2.37it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.45e+6]Epoch 1062/3000:  35%|███▌      | 1061/3000 [07:48<13:39,  2.37it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.45e+6]Epoch 1062/3000:  35%|███▌      | 1062/3000 [07:49<12:41,  2.54it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.45e+6]Epoch 1062/3000:  35%|███▌      | 1062/3000 [07:49<12:41,  2.54it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.44e+6]Epoch 1063/3000:  35%|███▌      | 1062/3000 [07:49<12:41,  2.54it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.44e+6]Epoch 1063/3000:  35%|███▌      | 1063/3000 [07:49<12:19,  2.62it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.44e+6]Epoch 1063/3000:  35%|███▌      | 1063/3000 [07:49<12:19,  2.62it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.44e+6]Epoch 1064/3000:  35%|███▌      | 1063/3000 [07:49<12:19,  2.62it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.44e+6]Epoch 1064/3000:  35%|███▌      | 1064/3000 [07:49<11:20,  2.85it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.44e+6]Epoch 1064/3000:  35%|███▌      | 1064/3000 [07:49<11:20,  2.85it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.44e+6]Epoch 1065/3000:  35%|███▌      | 1064/3000 [07:49<11:20,  2.85it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.44e+6]Epoch 1065/3000:  36%|███▌      | 1065/3000 [07:50<11:45,  2.74it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.44e+6]Epoch 1065/3000:  36%|███▌      | 1065/3000 [07:50<11:45,  2.74it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.44e+6] Epoch 1066/3000:  36%|███▌      | 1065/3000 [07:50<11:45,  2.74it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.44e+6]Epoch 1066/3000:  36%|███▌      | 1066/3000 [07:50<11:05,  2.90it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.44e+6]Epoch 1066/3000:  36%|███▌      | 1066/3000 [07:50<11:05,  2.90it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.44e+6]Epoch 1067/3000:  36%|███▌      | 1066/3000 [07:50<11:05,  2.90it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.44e+6]Epoch 1067/3000:  36%|███▌      | 1067/3000 [07:50<09:30,  3.39it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.44e+6]Epoch 1067/3000:  36%|███▌      | 1067/3000 [07:50<09:30,  3.39it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.44e+6]Epoch 1068/3000:  36%|███▌      | 1067/3000 [07:50<09:30,  3.39it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.44e+6]Epoch 1068/3000:  36%|███▌      | 1068/3000 [07:50<08:35,  3.75it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.44e+6]Epoch 1068/3000:  36%|███▌      | 1068/3000 [07:50<08:35,  3.75it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.44e+6]Epoch 1069/3000:  36%|███▌      | 1068/3000 [07:50<08:35,  3.75it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.44e+6]Epoch 1069/3000:  36%|███▌      | 1069/3000 [07:51<07:15,  4.43it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.44e+6]Epoch 1069/3000:  36%|███▌      | 1069/3000 [07:51<07:15,  4.43it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.44e+6]Epoch 1070/3000:  36%|███▌      | 1069/3000 [07:51<07:15,  4.43it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.44e+6]Epoch 1070/3000:  36%|███▌      | 1070/3000 [07:51<06:29,  4.95it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.44e+6]Epoch 1070/3000:  36%|███▌      | 1070/3000 [07:51<06:29,  4.95it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.44e+6]Epoch 1071/3000:  36%|███▌      | 1070/3000 [07:51<06:29,  4.95it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.44e+6]Epoch 1071/3000:  36%|███▌      | 1071/3000 [07:51<09:10,  3.50it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.44e+6]Epoch 1071/3000:  36%|███▌      | 1071/3000 [07:51<09:10,  3.50it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.44e+6]Epoch 1072/3000:  36%|███▌      | 1071/3000 [07:51<09:10,  3.50it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.44e+6]Epoch 1072/3000:  36%|███▌      | 1072/3000 [07:52<10:50,  2.96it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.44e+6]Epoch 1072/3000:  36%|███▌      | 1072/3000 [07:52<10:50,  2.96it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.44e+6]Epoch 1073/3000:  36%|███▌      | 1072/3000 [07:52<10:50,  2.96it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.44e+6]Epoch 1073/3000:  36%|███▌      | 1073/3000 [07:52<13:12,  2.43it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.44e+6]Epoch 1073/3000:  36%|███▌      | 1073/3000 [07:52<13:12,  2.43it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.44e+6] Epoch 1074/3000:  36%|███▌      | 1073/3000 [07:52<13:12,  2.43it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.44e+6]Epoch 1074/3000:  36%|███▌      | 1074/3000 [07:53<12:33,  2.56it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.44e+6]Epoch 1074/3000:  36%|███▌      | 1074/3000 [07:53<12:33,  2.56it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.44e+6]Epoch 1075/3000:  36%|███▌      | 1074/3000 [07:53<12:33,  2.56it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.44e+6]Epoch 1075/3000:  36%|███▌      | 1075/3000 [07:53<12:22,  2.59it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.44e+6]Epoch 1075/3000:  36%|███▌      | 1075/3000 [07:53<12:22,  2.59it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.44e+6]Epoch 1076/3000:  36%|███▌      | 1075/3000 [07:53<12:22,  2.59it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.44e+6]Epoch 1076/3000:  36%|███▌      | 1076/3000 [07:53<12:47,  2.51it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.44e+6]Epoch 1076/3000:  36%|███▌      | 1076/3000 [07:53<12:47,  2.51it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.43e+6]Epoch 1077/3000:  36%|███▌      | 1076/3000 [07:53<12:47,  2.51it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.43e+6]Epoch 1077/3000:  36%|███▌      | 1077/3000 [07:54<14:29,  2.21it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.43e+6]Epoch 1077/3000:  36%|███▌      | 1077/3000 [07:54<14:29,  2.21it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.43e+6]Epoch 1078/3000:  36%|███▌      | 1077/3000 [07:54<14:29,  2.21it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.43e+6]Epoch 1078/3000:  36%|███▌      | 1078/3000 [07:54<13:14,  2.42it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.43e+6]Epoch 1078/3000:  36%|███▌      | 1078/3000 [07:54<13:14,  2.42it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.43e+6]Epoch 1079/3000:  36%|███▌      | 1078/3000 [07:54<13:14,  2.42it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.43e+6]Epoch 1079/3000:  36%|███▌      | 1079/3000 [07:55<12:57,  2.47it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.43e+6]Epoch 1079/3000:  36%|███▌      | 1079/3000 [07:55<12:57,  2.47it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.43e+6]Epoch 1080/3000:  36%|███▌      | 1079/3000 [07:55<12:57,  2.47it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.43e+6]Epoch 1080/3000:  36%|███▌      | 1080/3000 [07:55<11:57,  2.67it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.43e+6]Epoch 1080/3000:  36%|███▌      | 1080/3000 [07:55<11:57,  2.67it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.43e+6]Epoch 1081/3000:  36%|███▌      | 1080/3000 [07:55<11:57,  2.67it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.43e+6]Epoch 1081/3000:  36%|███▌      | 1081/3000 [07:55<12:01,  2.66it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.43e+6]Epoch 1081/3000:  36%|███▌      | 1081/3000 [07:55<12:01,  2.66it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.43e+6]Epoch 1082/3000:  36%|███▌      | 1081/3000 [07:55<12:01,  2.66it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.43e+6]Epoch 1082/3000:  36%|███▌      | 1082/3000 [07:56<12:29,  2.56it/s, v_num=1, train_loss_step=1.46e+6, train_loss_epoch=1.43e+6]Epoch 1082/3000:  36%|███▌      | 1082/3000 [07:56<12:29,  2.56it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.43e+6]Epoch 1083/3000:  36%|███▌      | 1082/3000 [07:56<12:29,  2.56it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.43e+6]Epoch 1083/3000:  36%|███▌      | 1083/3000 [07:56<12:11,  2.62it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.43e+6]Epoch 1083/3000:  36%|███▌      | 1083/3000 [07:56<12:11,  2.62it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.43e+6]Epoch 1084/3000:  36%|███▌      | 1083/3000 [07:56<12:11,  2.62it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.43e+6]Epoch 1084/3000:  36%|███▌      | 1084/3000 [07:57<14:35,  2.19it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.43e+6]Epoch 1084/3000:  36%|███▌      | 1084/3000 [07:57<14:35,  2.19it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.43e+6]Epoch 1085/3000:  36%|███▌      | 1084/3000 [07:57<14:35,  2.19it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.43e+6]Epoch 1085/3000:  36%|███▌      | 1085/3000 [07:57<14:12,  2.25it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.43e+6]Epoch 1085/3000:  36%|███▌      | 1085/3000 [07:57<14:12,  2.25it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.43e+6]Epoch 1086/3000:  36%|███▌      | 1085/3000 [07:57<14:12,  2.25it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.43e+6]Epoch 1086/3000:  36%|███▌      | 1086/3000 [07:58<14:11,  2.25it/s, v_num=1, train_loss_step=1.48e+6, train_loss_epoch=1.43e+6]Epoch 1086/3000:  36%|███▌      | 1086/3000 [07:58<14:11,  2.25it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.43e+6]Epoch 1087/3000:  36%|███▌      | 1086/3000 [07:58<14:11,  2.25it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.43e+6]Epoch 1087/3000:  36%|███▌      | 1087/3000 [07:58<14:44,  2.16it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.43e+6]Epoch 1087/3000:  36%|███▌      | 1087/3000 [07:58<14:44,  2.16it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.43e+6]Epoch 1088/3000:  36%|███▌      | 1087/3000 [07:58<14:44,  2.16it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.43e+6]Epoch 1088/3000:  36%|███▋      | 1088/3000 [07:59<15:05,  2.11it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.43e+6]Epoch 1088/3000:  36%|███▋      | 1088/3000 [07:59<15:05,  2.11it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.43e+6]Epoch 1089/3000:  36%|███▋      | 1088/3000 [07:59<15:05,  2.11it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.43e+6]Epoch 1089/3000:  36%|███▋      | 1089/3000 [07:59<14:19,  2.22it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.43e+6]Epoch 1089/3000:  36%|███▋      | 1089/3000 [07:59<14:19,  2.22it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.43e+6]Epoch 1090/3000:  36%|███▋      | 1089/3000 [07:59<14:19,  2.22it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.43e+6]Epoch 1090/3000:  36%|███▋      | 1090/3000 [08:00<15:20,  2.08it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.43e+6]Epoch 1090/3000:  36%|███▋      | 1090/3000 [08:00<15:20,  2.08it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1091/3000:  36%|███▋      | 1090/3000 [08:00<15:20,  2.08it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1091/3000:  36%|███▋      | 1091/3000 [08:00<15:14,  2.09it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1091/3000:  36%|███▋      | 1091/3000 [08:00<15:14,  2.09it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1092/3000:  36%|███▋      | 1091/3000 [08:00<15:14,  2.09it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1092/3000:  36%|███▋      | 1092/3000 [08:00<15:16,  2.08it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1092/3000:  36%|███▋      | 1092/3000 [08:00<15:16,  2.08it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.42e+6]Epoch 1093/3000:  36%|███▋      | 1092/3000 [08:00<15:16,  2.08it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.42e+6]Epoch 1093/3000:  36%|███▋      | 1093/3000 [08:01<16:04,  1.98it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.42e+6]Epoch 1093/3000:  36%|███▋      | 1093/3000 [08:01<16:04,  1.98it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.42e+6] Epoch 1094/3000:  36%|███▋      | 1093/3000 [08:01<16:04,  1.98it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.42e+6]Epoch 1094/3000:  36%|███▋      | 1094/3000 [08:02<16:14,  1.96it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.42e+6]Epoch 1094/3000:  36%|███▋      | 1094/3000 [08:02<16:14,  1.96it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.42e+6]Epoch 1095/3000:  36%|███▋      | 1094/3000 [08:02<16:14,  1.96it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.42e+6]Epoch 1095/3000:  36%|███▋      | 1095/3000 [08:02<16:43,  1.90it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.42e+6]Epoch 1095/3000:  36%|███▋      | 1095/3000 [08:02<16:43,  1.90it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.42e+6]Epoch 1096/3000:  36%|███▋      | 1095/3000 [08:02<16:43,  1.90it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.42e+6]Epoch 1096/3000:  37%|███▋      | 1096/3000 [08:03<15:59,  1.98it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.42e+6]Epoch 1096/3000:  37%|███▋      | 1096/3000 [08:03<15:59,  1.98it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1097/3000:  37%|███▋      | 1096/3000 [08:03<15:59,  1.98it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1097/3000:  37%|███▋      | 1097/3000 [08:03<16:11,  1.96it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1097/3000:  37%|███▋      | 1097/3000 [08:03<16:11,  1.96it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.42e+6]Epoch 1098/3000:  37%|███▋      | 1097/3000 [08:03<16:11,  1.96it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.42e+6]Epoch 1098/3000:  37%|███▋      | 1098/3000 [08:04<16:22,  1.94it/s, v_num=1, train_loss_step=1.47e+6, train_loss_epoch=1.42e+6]Epoch 1098/3000:  37%|███▋      | 1098/3000 [08:04<16:22,  1.94it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.42e+6]Epoch 1099/3000:  37%|███▋      | 1098/3000 [08:04<16:22,  1.94it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.42e+6]Epoch 1099/3000:  37%|███▋      | 1099/3000 [08:04<15:24,  2.06it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.42e+6]Epoch 1099/3000:  37%|███▋      | 1099/3000 [08:04<15:24,  2.06it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.42e+6]Epoch 1100/3000:  37%|███▋      | 1099/3000 [08:04<15:24,  2.06it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.42e+6]Epoch 1100/3000:  37%|███▋      | 1100/3000 [08:05<16:13,  1.95it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.42e+6]Epoch 1100/3000:  37%|███▋      | 1100/3000 [08:05<16:13,  1.95it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.42e+6]Epoch 1101/3000:  37%|███▋      | 1100/3000 [08:05<16:13,  1.95it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.42e+6]Epoch 1101/3000:  37%|███▋      | 1101/3000 [08:05<14:49,  2.14it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.42e+6]Epoch 1101/3000:  37%|███▋      | 1101/3000 [08:05<14:49,  2.14it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.42e+6]Epoch 1102/3000:  37%|███▋      | 1101/3000 [08:05<14:49,  2.14it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.42e+6]Epoch 1102/3000:  37%|███▋      | 1102/3000 [08:05<13:19,  2.37it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.42e+6]Epoch 1102/3000:  37%|███▋      | 1102/3000 [08:05<13:19,  2.37it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1103/3000:  37%|███▋      | 1102/3000 [08:05<13:19,  2.37it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1103/3000:  37%|███▋      | 1103/3000 [08:05<11:06,  2.85it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1103/3000:  37%|███▋      | 1103/3000 [08:05<11:06,  2.85it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1104/3000:  37%|███▋      | 1103/3000 [08:06<11:06,  2.85it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1104/3000:  37%|███▋      | 1104/3000 [08:06<13:01,  2.43it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.42e+6]Epoch 1104/3000:  37%|███▋      | 1104/3000 [08:06<13:01,  2.43it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.41e+6]Epoch 1105/3000:  37%|███▋      | 1104/3000 [08:06<13:01,  2.43it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.41e+6]Epoch 1105/3000:  37%|███▋      | 1105/3000 [08:06<12:33,  2.52it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.41e+6]Epoch 1105/3000:  37%|███▋      | 1105/3000 [08:06<12:33,  2.52it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.41e+6]Epoch 1106/3000:  37%|███▋      | 1105/3000 [08:06<12:33,  2.52it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.41e+6]Epoch 1106/3000:  37%|███▋      | 1106/3000 [08:07<11:37,  2.72it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.41e+6]Epoch 1106/3000:  37%|███▋      | 1106/3000 [08:07<11:37,  2.72it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.41e+6]Epoch 1107/3000:  37%|███▋      | 1106/3000 [08:07<11:37,  2.72it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.41e+6]Epoch 1107/3000:  37%|███▋      | 1107/3000 [08:07<13:46,  2.29it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.41e+6]Epoch 1107/3000:  37%|███▋      | 1107/3000 [08:07<13:46,  2.29it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.41e+6] Epoch 1108/3000:  37%|███▋      | 1107/3000 [08:07<13:46,  2.29it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.41e+6]Epoch 1108/3000:  37%|███▋      | 1108/3000 [08:08<14:34,  2.16it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.41e+6]Epoch 1108/3000:  37%|███▋      | 1108/3000 [08:08<14:34,  2.16it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.41e+6]Epoch 1109/3000:  37%|███▋      | 1108/3000 [08:08<14:34,  2.16it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.41e+6]Epoch 1109/3000:  37%|███▋      | 1109/3000 [08:08<13:48,  2.28it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.41e+6]Epoch 1109/3000:  37%|███▋      | 1109/3000 [08:08<13:48,  2.28it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.41e+6]Epoch 1110/3000:  37%|███▋      | 1109/3000 [08:08<13:48,  2.28it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.41e+6]Epoch 1110/3000:  37%|███▋      | 1110/3000 [08:09<14:39,  2.15it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.41e+6]Epoch 1110/3000:  37%|███▋      | 1110/3000 [08:09<14:39,  2.15it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.41e+6]Epoch 1111/3000:  37%|███▋      | 1110/3000 [08:09<14:39,  2.15it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.41e+6]Epoch 1111/3000:  37%|███▋      | 1111/3000 [08:09<14:31,  2.17it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.41e+6]Epoch 1111/3000:  37%|███▋      | 1111/3000 [08:09<14:31,  2.17it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.41e+6]Epoch 1112/3000:  37%|███▋      | 1111/3000 [08:09<14:31,  2.17it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.41e+6]Epoch 1112/3000:  37%|███▋      | 1112/3000 [08:10<14:51,  2.12it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.41e+6]Epoch 1112/3000:  37%|███▋      | 1112/3000 [08:10<14:51,  2.12it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.41e+6]Epoch 1113/3000:  37%|███▋      | 1112/3000 [08:10<14:51,  2.12it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.41e+6]Epoch 1113/3000:  37%|███▋      | 1113/3000 [08:10<14:44,  2.13it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.41e+6]Epoch 1113/3000:  37%|███▋      | 1113/3000 [08:10<14:44,  2.13it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.41e+6]Epoch 1114/3000:  37%|███▋      | 1113/3000 [08:10<14:44,  2.13it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.41e+6]Epoch 1114/3000:  37%|███▋      | 1114/3000 [08:11<13:51,  2.27it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.41e+6]Epoch 1114/3000:  37%|███▋      | 1114/3000 [08:11<13:51,  2.27it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.41e+6]Epoch 1115/3000:  37%|███▋      | 1114/3000 [08:11<13:51,  2.27it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.41e+6]Epoch 1115/3000:  37%|███▋      | 1115/3000 [08:11<14:31,  2.16it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.41e+6]Epoch 1115/3000:  37%|███▋      | 1115/3000 [08:11<14:31,  2.16it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.41e+6]Epoch 1116/3000:  37%|███▋      | 1115/3000 [08:11<14:31,  2.16it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.41e+6]Epoch 1116/3000:  37%|███▋      | 1116/3000 [08:12<14:44,  2.13it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.41e+6]Epoch 1116/3000:  37%|███▋      | 1116/3000 [08:12<14:44,  2.13it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.41e+6]Epoch 1117/3000:  37%|███▋      | 1116/3000 [08:12<14:44,  2.13it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.41e+6]Epoch 1117/3000:  37%|███▋      | 1117/3000 [08:12<14:24,  2.18it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.41e+6]Epoch 1117/3000:  37%|███▋      | 1117/3000 [08:12<14:24,  2.18it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.41e+6]Epoch 1118/3000:  37%|███▋      | 1117/3000 [08:12<14:24,  2.18it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.41e+6]Epoch 1118/3000:  37%|███▋      | 1118/3000 [08:13<16:38,  1.88it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.41e+6]Epoch 1118/3000:  37%|███▋      | 1118/3000 [08:13<16:38,  1.88it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.41e+6]Epoch 1119/3000:  37%|███▋      | 1118/3000 [08:13<16:38,  1.88it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.41e+6]Epoch 1119/3000:  37%|███▋      | 1119/3000 [08:13<16:52,  1.86it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.41e+6]Epoch 1119/3000:  37%|███▋      | 1119/3000 [08:13<16:52,  1.86it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.4e+6] Epoch 1120/3000:  37%|███▋      | 1119/3000 [08:13<16:52,  1.86it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.4e+6]Epoch 1120/3000:  37%|███▋      | 1120/3000 [08:14<15:56,  1.97it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.4e+6]Epoch 1120/3000:  37%|███▋      | 1120/3000 [08:14<15:56,  1.97it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.4e+6]Epoch 1121/3000:  37%|███▋      | 1120/3000 [08:14<15:56,  1.97it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.4e+6]Epoch 1121/3000:  37%|███▋      | 1121/3000 [08:14<15:49,  1.98it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.4e+6]Epoch 1121/3000:  37%|███▋      | 1121/3000 [08:14<15:49,  1.98it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.4e+6]Epoch 1122/3000:  37%|███▋      | 1121/3000 [08:14<15:49,  1.98it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.4e+6]Epoch 1122/3000:  37%|███▋      | 1122/3000 [08:15<14:36,  2.14it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.4e+6]Epoch 1122/3000:  37%|███▋      | 1122/3000 [08:15<14:36,  2.14it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.4e+6]Epoch 1123/3000:  37%|███▋      | 1122/3000 [08:15<14:36,  2.14it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.4e+6]Epoch 1123/3000:  37%|███▋      | 1123/3000 [08:15<14:04,  2.22it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.4e+6]Epoch 1123/3000:  37%|███▋      | 1123/3000 [08:15<14:04,  2.22it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.4e+6]Epoch 1124/3000:  37%|███▋      | 1123/3000 [08:15<14:04,  2.22it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.4e+6]Epoch 1124/3000:  37%|███▋      | 1124/3000 [08:15<13:40,  2.29it/s, v_num=1, train_loss_step=1.43e+6, train_loss_epoch=1.4e+6]Epoch 1124/3000:  37%|███▋      | 1124/3000 [08:15<13:40,  2.29it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.4e+6]Epoch 1125/3000:  37%|███▋      | 1124/3000 [08:15<13:40,  2.29it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.4e+6]Epoch 1125/3000:  38%|███▊      | 1125/3000 [08:16<14:02,  2.22it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.4e+6]Epoch 1125/3000:  38%|███▊      | 1125/3000 [08:16<14:02,  2.22it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.4e+6]Epoch 1126/3000:  38%|███▊      | 1125/3000 [08:16<14:02,  2.22it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.4e+6]Epoch 1126/3000:  38%|███▊      | 1126/3000 [08:16<12:51,  2.43it/s, v_num=1, train_loss_step=1.44e+6, train_loss_epoch=1.4e+6]Epoch 1126/3000:  38%|███▊      | 1126/3000 [08:16<12:51,  2.43it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.4e+6]Epoch 1127/3000:  38%|███▊      | 1126/3000 [08:16<12:51,  2.43it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.4e+6]Epoch 1127/3000:  38%|███▊      | 1127/3000 [08:17<13:38,  2.29it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.4e+6]Epoch 1127/3000:  38%|███▊      | 1127/3000 [08:17<13:38,  2.29it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.4e+6]Epoch 1128/3000:  38%|███▊      | 1127/3000 [08:17<13:38,  2.29it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.4e+6]Epoch 1128/3000:  38%|███▊      | 1128/3000 [08:17<15:28,  2.02it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.4e+6]Epoch 1128/3000:  38%|███▊      | 1128/3000 [08:17<15:28,  2.02it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.4e+6]Epoch 1129/3000:  38%|███▊      | 1128/3000 [08:17<15:28,  2.02it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.4e+6]Epoch 1129/3000:  38%|███▊      | 1129/3000 [08:18<14:32,  2.14it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.4e+6]Epoch 1129/3000:  38%|███▊      | 1129/3000 [08:18<14:32,  2.14it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.4e+6]Epoch 1130/3000:  38%|███▊      | 1129/3000 [08:18<14:32,  2.14it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.4e+6]Epoch 1130/3000:  38%|███▊      | 1130/3000 [08:18<15:22,  2.03it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.4e+6]Epoch 1130/3000:  38%|███▊      | 1130/3000 [08:18<15:22,  2.03it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.4e+6]Epoch 1131/3000:  38%|███▊      | 1130/3000 [08:18<15:22,  2.03it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.4e+6]Epoch 1131/3000:  38%|███▊      | 1131/3000 [08:19<15:38,  1.99it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.4e+6]Epoch 1131/3000:  38%|███▊      | 1131/3000 [08:19<15:38,  1.99it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.4e+6]Epoch 1132/3000:  38%|███▊      | 1131/3000 [08:19<15:38,  1.99it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.4e+6]Epoch 1132/3000:  38%|███▊      | 1132/3000 [08:19<13:02,  2.39it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.4e+6]Epoch 1132/3000:  38%|███▊      | 1132/3000 [08:19<13:02,  2.39it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.4e+6]Epoch 1133/3000:  38%|███▊      | 1132/3000 [08:19<13:02,  2.39it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.4e+6]Epoch 1133/3000:  38%|███▊      | 1133/3000 [08:20<14:09,  2.20it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.4e+6]Epoch 1133/3000:  38%|███▊      | 1133/3000 [08:20<14:09,  2.20it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.4e+6]Epoch 1134/3000:  38%|███▊      | 1133/3000 [08:20<14:09,  2.20it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.4e+6]Epoch 1134/3000:  38%|███▊      | 1134/3000 [08:20<15:00,  2.07it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.4e+6]Epoch 1134/3000:  38%|███▊      | 1134/3000 [08:20<15:00,  2.07it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.4e+6]Epoch 1135/3000:  38%|███▊      | 1134/3000 [08:20<15:00,  2.07it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.4e+6]Epoch 1135/3000:  38%|███▊      | 1135/3000 [08:21<14:41,  2.12it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.4e+6]Epoch 1135/3000:  38%|███▊      | 1135/3000 [08:21<14:41,  2.12it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.39e+6]Epoch 1136/3000:  38%|███▊      | 1135/3000 [08:21<14:41,  2.12it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.39e+6]Epoch 1136/3000:  38%|███▊      | 1136/3000 [08:21<15:10,  2.05it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.39e+6]Epoch 1136/3000:  38%|███▊      | 1136/3000 [08:21<15:10,  2.05it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.39e+6]Epoch 1137/3000:  38%|███▊      | 1136/3000 [08:21<15:10,  2.05it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.39e+6]Epoch 1137/3000:  38%|███▊      | 1137/3000 [08:22<15:37,  1.99it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.39e+6]Epoch 1137/3000:  38%|███▊      | 1137/3000 [08:22<15:37,  1.99it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6] Epoch 1138/3000:  38%|███▊      | 1137/3000 [08:22<15:37,  1.99it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6]Epoch 1138/3000:  38%|███▊      | 1138/3000 [08:22<15:10,  2.05it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6]Epoch 1138/3000:  38%|███▊      | 1138/3000 [08:22<15:10,  2.05it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6]Epoch 1139/3000:  38%|███▊      | 1138/3000 [08:22<15:10,  2.05it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6]Epoch 1139/3000:  38%|███▊      | 1139/3000 [08:22<14:27,  2.15it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6]Epoch 1139/3000:  38%|███▊      | 1139/3000 [08:22<14:27,  2.15it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.39e+6]Epoch 1140/3000:  38%|███▊      | 1139/3000 [08:22<14:27,  2.15it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.39e+6]Epoch 1140/3000:  38%|███▊      | 1140/3000 [08:23<13:59,  2.22it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.39e+6]Epoch 1140/3000:  38%|███▊      | 1140/3000 [08:23<13:59,  2.22it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6] Epoch 1141/3000:  38%|███▊      | 1140/3000 [08:23<13:59,  2.22it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6]Epoch 1141/3000:  38%|███▊      | 1141/3000 [08:23<15:22,  2.02it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6]Epoch 1141/3000:  38%|███▊      | 1141/3000 [08:23<15:22,  2.02it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6]Epoch 1142/3000:  38%|███▊      | 1141/3000 [08:23<15:22,  2.02it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6]Epoch 1142/3000:  38%|███▊      | 1142/3000 [08:24<14:08,  2.19it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6]Epoch 1142/3000:  38%|███▊      | 1142/3000 [08:24<14:08,  2.19it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.39e+6]Epoch 1143/3000:  38%|███▊      | 1142/3000 [08:24<14:08,  2.19it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.39e+6]Epoch 1143/3000:  38%|███▊      | 1143/3000 [08:24<15:07,  2.05it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.39e+6]Epoch 1143/3000:  38%|███▊      | 1143/3000 [08:24<15:07,  2.05it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.39e+6]Epoch 1144/3000:  38%|███▊      | 1143/3000 [08:24<15:07,  2.05it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.39e+6]Epoch 1144/3000:  38%|███▊      | 1144/3000 [08:25<15:07,  2.05it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.39e+6]Epoch 1144/3000:  38%|███▊      | 1144/3000 [08:25<15:07,  2.05it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.39e+6]Epoch 1145/3000:  38%|███▊      | 1144/3000 [08:25<15:07,  2.05it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.39e+6]Epoch 1145/3000:  38%|███▊      | 1145/3000 [08:25<15:48,  1.96it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.39e+6]Epoch 1145/3000:  38%|███▊      | 1145/3000 [08:25<15:48,  1.96it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.39e+6]Epoch 1146/3000:  38%|███▊      | 1145/3000 [08:25<15:48,  1.96it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.39e+6]Epoch 1146/3000:  38%|███▊      | 1146/3000 [08:26<15:59,  1.93it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.39e+6]Epoch 1146/3000:  38%|███▊      | 1146/3000 [08:26<15:59,  1.93it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.39e+6]Epoch 1147/3000:  38%|███▊      | 1146/3000 [08:26<15:59,  1.93it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.39e+6]Epoch 1147/3000:  38%|███▊      | 1147/3000 [08:26<15:53,  1.94it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.39e+6]Epoch 1147/3000:  38%|███▊      | 1147/3000 [08:26<15:53,  1.94it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6] Epoch 1148/3000:  38%|███▊      | 1147/3000 [08:26<15:53,  1.94it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6]Epoch 1148/3000:  38%|███▊      | 1148/3000 [08:27<16:46,  1.84it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.39e+6]Epoch 1148/3000:  38%|███▊      | 1148/3000 [08:27<16:46,  1.84it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.39e+6]Epoch 1149/3000:  38%|███▊      | 1148/3000 [08:27<16:46,  1.84it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.39e+6]Epoch 1149/3000:  38%|███▊      | 1149/3000 [08:28<16:22,  1.88it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.39e+6]Epoch 1149/3000:  38%|███▊      | 1149/3000 [08:28<16:22,  1.88it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.39e+6]Epoch 1150/3000:  38%|███▊      | 1149/3000 [08:28<16:22,  1.88it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.39e+6]Epoch 1150/3000:  38%|███▊      | 1150/3000 [08:28<15:03,  2.05it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.39e+6]Epoch 1150/3000:  38%|███▊      | 1150/3000 [08:28<15:03,  2.05it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.39e+6]Epoch 1151/3000:  38%|███▊      | 1150/3000 [08:28<15:03,  2.05it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.39e+6]Epoch 1151/3000:  38%|███▊      | 1151/3000 [08:29<16:34,  1.86it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.39e+6]Epoch 1151/3000:  38%|███▊      | 1151/3000 [08:29<16:34,  1.86it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.38e+6]Epoch 1152/3000:  38%|███▊      | 1151/3000 [08:29<16:34,  1.86it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.38e+6]Epoch 1152/3000:  38%|███▊      | 1152/3000 [08:29<16:39,  1.85it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.38e+6]Epoch 1152/3000:  38%|███▊      | 1152/3000 [08:29<16:39,  1.85it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.38e+6]Epoch 1153/3000:  38%|███▊      | 1152/3000 [08:29<16:39,  1.85it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.38e+6]Epoch 1153/3000:  38%|███▊      | 1153/3000 [08:30<16:28,  1.87it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.38e+6]Epoch 1153/3000:  38%|███▊      | 1153/3000 [08:30<16:28,  1.87it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.38e+6]Epoch 1154/3000:  38%|███▊      | 1153/3000 [08:30<16:28,  1.87it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.38e+6]Epoch 1154/3000:  38%|███▊      | 1154/3000 [08:30<15:58,  1.93it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.38e+6]Epoch 1154/3000:  38%|███▊      | 1154/3000 [08:30<15:58,  1.93it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.38e+6] Epoch 1155/3000:  38%|███▊      | 1154/3000 [08:30<15:58,  1.93it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.38e+6]Epoch 1155/3000:  38%|███▊      | 1155/3000 [08:31<15:19,  2.01it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.38e+6]Epoch 1155/3000:  38%|███▊      | 1155/3000 [08:31<15:19,  2.01it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.38e+6]Epoch 1156/3000:  38%|███▊      | 1155/3000 [08:31<15:19,  2.01it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.38e+6]Epoch 1156/3000:  39%|███▊      | 1156/3000 [08:31<14:44,  2.08it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.38e+6]Epoch 1156/3000:  39%|███▊      | 1156/3000 [08:31<14:44,  2.08it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.38e+6]Epoch 1157/3000:  39%|███▊      | 1156/3000 [08:31<14:44,  2.08it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.38e+6]Epoch 1157/3000:  39%|███▊      | 1157/3000 [08:32<16:09,  1.90it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.38e+6]Epoch 1157/3000:  39%|███▊      | 1157/3000 [08:32<16:09,  1.90it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.38e+6] Epoch 1158/3000:  39%|███▊      | 1157/3000 [08:32<16:09,  1.90it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.38e+6]Epoch 1158/3000:  39%|███▊      | 1158/3000 [08:32<15:36,  1.97it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.38e+6]Epoch 1158/3000:  39%|███▊      | 1158/3000 [08:32<15:36,  1.97it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.38e+6]Epoch 1159/3000:  39%|███▊      | 1158/3000 [08:32<15:36,  1.97it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.38e+6]Epoch 1159/3000:  39%|███▊      | 1159/3000 [08:33<14:50,  2.07it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.38e+6]Epoch 1159/3000:  39%|███▊      | 1159/3000 [08:33<14:50,  2.07it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.38e+6]Epoch 1160/3000:  39%|███▊      | 1159/3000 [08:33<14:50,  2.07it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.38e+6]Epoch 1160/3000:  39%|███▊      | 1160/3000 [08:33<14:42,  2.08it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.38e+6]Epoch 1160/3000:  39%|███▊      | 1160/3000 [08:33<14:42,  2.08it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.38e+6]Epoch 1161/3000:  39%|███▊      | 1160/3000 [08:33<14:42,  2.08it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.38e+6]Epoch 1161/3000:  39%|███▊      | 1161/3000 [08:34<14:29,  2.12it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.38e+6]Epoch 1161/3000:  39%|███▊      | 1161/3000 [08:34<14:29,  2.12it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.38e+6]Epoch 1162/3000:  39%|███▊      | 1161/3000 [08:34<14:29,  2.12it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.38e+6]Epoch 1162/3000:  39%|███▊      | 1162/3000 [08:34<15:54,  1.93it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.38e+6]Epoch 1162/3000:  39%|███▊      | 1162/3000 [08:34<15:54,  1.93it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.38e+6]Epoch 1163/3000:  39%|███▊      | 1162/3000 [08:34<15:54,  1.93it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.38e+6]Epoch 1163/3000:  39%|███▉      | 1163/3000 [08:35<15:34,  1.97it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.38e+6]Epoch 1163/3000:  39%|███▉      | 1163/3000 [08:35<15:34,  1.97it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.38e+6] Epoch 1164/3000:  39%|███▉      | 1163/3000 [08:35<15:34,  1.97it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.38e+6]Epoch 1164/3000:  39%|███▉      | 1164/3000 [08:35<14:18,  2.14it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.38e+6]Epoch 1164/3000:  39%|███▉      | 1164/3000 [08:35<14:18,  2.14it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.38e+6]Epoch 1165/3000:  39%|███▉      | 1164/3000 [08:35<14:18,  2.14it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.38e+6]Epoch 1165/3000:  39%|███▉      | 1165/3000 [08:36<14:38,  2.09it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.38e+6]Epoch 1165/3000:  39%|███▉      | 1165/3000 [08:36<14:38,  2.09it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.38e+6]Epoch 1166/3000:  39%|███▉      | 1165/3000 [08:36<14:38,  2.09it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.38e+6]Epoch 1166/3000:  39%|███▉      | 1166/3000 [08:36<14:35,  2.10it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.38e+6]Epoch 1166/3000:  39%|███▉      | 1166/3000 [08:36<14:35,  2.10it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.38e+6]Epoch 1167/3000:  39%|███▉      | 1166/3000 [08:36<14:35,  2.10it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.38e+6]Epoch 1167/3000:  39%|███▉      | 1167/3000 [08:37<15:16,  2.00it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.38e+6]Epoch 1167/3000:  39%|███▉      | 1167/3000 [08:37<15:16,  2.00it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.37e+6]Epoch 1168/3000:  39%|███▉      | 1167/3000 [08:37<15:16,  2.00it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.37e+6]Epoch 1168/3000:  39%|███▉      | 1168/3000 [08:37<15:05,  2.02it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.37e+6]Epoch 1168/3000:  39%|███▉      | 1168/3000 [08:37<15:05,  2.02it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.37e+6]Epoch 1169/3000:  39%|███▉      | 1168/3000 [08:37<15:05,  2.02it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.37e+6]Epoch 1169/3000:  39%|███▉      | 1169/3000 [08:38<15:55,  1.92it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.37e+6]Epoch 1169/3000:  39%|███▉      | 1169/3000 [08:38<15:55,  1.92it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.37e+6]Epoch 1170/3000:  39%|███▉      | 1169/3000 [08:38<15:55,  1.92it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.37e+6]Epoch 1170/3000:  39%|███▉      | 1170/3000 [08:38<15:37,  1.95it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.37e+6]Epoch 1170/3000:  39%|███▉      | 1170/3000 [08:38<15:37,  1.95it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.37e+6]Epoch 1171/3000:  39%|███▉      | 1170/3000 [08:38<15:37,  1.95it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.37e+6]Epoch 1171/3000:  39%|███▉      | 1171/3000 [08:39<16:32,  1.84it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.37e+6]Epoch 1171/3000:  39%|███▉      | 1171/3000 [08:39<16:32,  1.84it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.37e+6]Epoch 1172/3000:  39%|███▉      | 1171/3000 [08:39<16:32,  1.84it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.37e+6]Epoch 1172/3000:  39%|███▉      | 1172/3000 [08:39<16:10,  1.88it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.37e+6]Epoch 1172/3000:  39%|███▉      | 1172/3000 [08:39<16:10,  1.88it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.37e+6]Epoch 1173/3000:  39%|███▉      | 1172/3000 [08:39<16:10,  1.88it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.37e+6]Epoch 1173/3000:  39%|███▉      | 1173/3000 [08:40<15:44,  1.93it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.37e+6]Epoch 1173/3000:  39%|███▉      | 1173/3000 [08:40<15:44,  1.93it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.37e+6]Epoch 1174/3000:  39%|███▉      | 1173/3000 [08:40<15:44,  1.93it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.37e+6]Epoch 1174/3000:  39%|███▉      | 1174/3000 [08:40<13:34,  2.24it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.37e+6]Epoch 1174/3000:  39%|███▉      | 1174/3000 [08:40<13:34,  2.24it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.37e+6]Epoch 1175/3000:  39%|███▉      | 1174/3000 [08:40<13:34,  2.24it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.37e+6]Epoch 1175/3000:  39%|███▉      | 1175/3000 [08:41<14:41,  2.07it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.37e+6]Epoch 1175/3000:  39%|███▉      | 1175/3000 [08:41<14:41,  2.07it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.37e+6]Epoch 1176/3000:  39%|███▉      | 1175/3000 [08:41<14:41,  2.07it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.37e+6]Epoch 1176/3000:  39%|███▉      | 1176/3000 [08:41<13:23,  2.27it/s, v_num=1, train_loss_step=1.45e+6, train_loss_epoch=1.37e+6]Epoch 1176/3000:  39%|███▉      | 1176/3000 [08:41<13:23,  2.27it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.37e+6]Epoch 1177/3000:  39%|███▉      | 1176/3000 [08:41<13:23,  2.27it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.37e+6]Epoch 1177/3000:  39%|███▉      | 1177/3000 [08:41<13:18,  2.28it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.37e+6]Epoch 1177/3000:  39%|███▉      | 1177/3000 [08:41<13:18,  2.28it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.37e+6]Epoch 1178/3000:  39%|███▉      | 1177/3000 [08:41<13:18,  2.28it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.37e+6]Epoch 1178/3000:  39%|███▉      | 1178/3000 [08:42<12:53,  2.35it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.37e+6]Epoch 1178/3000:  39%|███▉      | 1178/3000 [08:42<12:53,  2.35it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.37e+6]Epoch 1179/3000:  39%|███▉      | 1178/3000 [08:42<12:53,  2.35it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.37e+6]Epoch 1179/3000:  39%|███▉      | 1179/3000 [08:42<13:41,  2.22it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.37e+6]Epoch 1179/3000:  39%|███▉      | 1179/3000 [08:42<13:41,  2.22it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.37e+6]Epoch 1180/3000:  39%|███▉      | 1179/3000 [08:42<13:41,  2.22it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.37e+6]Epoch 1180/3000:  39%|███▉      | 1180/3000 [08:43<14:34,  2.08it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.37e+6]Epoch 1180/3000:  39%|███▉      | 1180/3000 [08:43<14:34,  2.08it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.37e+6]Epoch 1181/3000:  39%|███▉      | 1180/3000 [08:43<14:34,  2.08it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.37e+6]Epoch 1181/3000:  39%|███▉      | 1181/3000 [08:43<12:45,  2.38it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.37e+6]Epoch 1181/3000:  39%|███▉      | 1181/3000 [08:43<12:45,  2.38it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.37e+6]Epoch 1182/3000:  39%|███▉      | 1181/3000 [08:43<12:45,  2.38it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.37e+6]Epoch 1182/3000:  39%|███▉      | 1182/3000 [08:44<13:16,  2.28it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.37e+6]Epoch 1182/3000:  39%|███▉      | 1182/3000 [08:44<13:16,  2.28it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.37e+6]Epoch 1183/3000:  39%|███▉      | 1182/3000 [08:44<13:16,  2.28it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.37e+6]Epoch 1183/3000:  39%|███▉      | 1183/3000 [08:44<13:33,  2.23it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.37e+6]Epoch 1183/3000:  39%|███▉      | 1183/3000 [08:44<13:33,  2.23it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.37e+6]Epoch 1184/3000:  39%|███▉      | 1183/3000 [08:44<13:33,  2.23it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.37e+6]Epoch 1184/3000:  39%|███▉      | 1184/3000 [08:44<12:17,  2.46it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.37e+6]Epoch 1184/3000:  39%|███▉      | 1184/3000 [08:44<12:17,  2.46it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1185/3000:  39%|███▉      | 1184/3000 [08:44<12:17,  2.46it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1185/3000:  40%|███▉      | 1185/3000 [08:45<14:16,  2.12it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1185/3000:  40%|███▉      | 1185/3000 [08:45<14:16,  2.12it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1186/3000:  40%|███▉      | 1185/3000 [08:45<14:16,  2.12it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1186/3000:  40%|███▉      | 1186/3000 [08:45<13:59,  2.16it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1186/3000:  40%|███▉      | 1186/3000 [08:45<13:59,  2.16it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.36e+6]Epoch 1187/3000:  40%|███▉      | 1186/3000 [08:45<13:59,  2.16it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.36e+6]Epoch 1187/3000:  40%|███▉      | 1187/3000 [08:46<14:21,  2.10it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.36e+6]Epoch 1187/3000:  40%|███▉      | 1187/3000 [08:46<14:21,  2.10it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.36e+6]Epoch 1188/3000:  40%|███▉      | 1187/3000 [08:46<14:21,  2.10it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.36e+6]Epoch 1188/3000:  40%|███▉      | 1188/3000 [08:46<14:02,  2.15it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.36e+6]Epoch 1188/3000:  40%|███▉      | 1188/3000 [08:46<14:02,  2.15it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.36e+6]Epoch 1189/3000:  40%|███▉      | 1188/3000 [08:46<14:02,  2.15it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.36e+6]Epoch 1189/3000:  40%|███▉      | 1189/3000 [08:47<13:09,  2.29it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.36e+6]Epoch 1189/3000:  40%|███▉      | 1189/3000 [08:47<13:09,  2.29it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.36e+6]Epoch 1190/3000:  40%|███▉      | 1189/3000 [08:47<13:09,  2.29it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.36e+6]Epoch 1190/3000:  40%|███▉      | 1190/3000 [08:47<12:25,  2.43it/s, v_num=1, train_loss_step=1.41e+6, train_loss_epoch=1.36e+6]Epoch 1190/3000:  40%|███▉      | 1190/3000 [08:47<12:25,  2.43it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.36e+6]Epoch 1191/3000:  40%|███▉      | 1190/3000 [08:47<12:25,  2.43it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.36e+6]Epoch 1191/3000:  40%|███▉      | 1191/3000 [08:47<10:44,  2.81it/s, v_num=1, train_loss_step=1.42e+6, train_loss_epoch=1.36e+6]Epoch 1191/3000:  40%|███▉      | 1191/3000 [08:47<10:44,  2.81it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.36e+6]Epoch 1192/3000:  40%|███▉      | 1191/3000 [08:47<10:44,  2.81it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.36e+6]Epoch 1192/3000:  40%|███▉      | 1192/3000 [08:48<12:10,  2.48it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.36e+6]Epoch 1192/3000:  40%|███▉      | 1192/3000 [08:48<12:10,  2.48it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1193/3000:  40%|███▉      | 1192/3000 [08:48<12:10,  2.48it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1193/3000:  40%|███▉      | 1193/3000 [08:48<13:00,  2.31it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1193/3000:  40%|███▉      | 1193/3000 [08:48<13:00,  2.31it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1194/3000:  40%|███▉      | 1193/3000 [08:48<13:00,  2.31it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1194/3000:  40%|███▉      | 1194/3000 [08:49<13:38,  2.21it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1194/3000:  40%|███▉      | 1194/3000 [08:49<13:38,  2.21it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.36e+6]Epoch 1195/3000:  40%|███▉      | 1194/3000 [08:49<13:38,  2.21it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.36e+6]Epoch 1195/3000:  40%|███▉      | 1195/3000 [08:49<13:33,  2.22it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.36e+6]Epoch 1195/3000:  40%|███▉      | 1195/3000 [08:49<13:33,  2.22it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.36e+6]Epoch 1196/3000:  40%|███▉      | 1195/3000 [08:49<13:33,  2.22it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.36e+6]Epoch 1196/3000:  40%|███▉      | 1196/3000 [08:50<13:01,  2.31it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.36e+6]Epoch 1196/3000:  40%|███▉      | 1196/3000 [08:50<13:01,  2.31it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.36e+6]Epoch 1197/3000:  40%|███▉      | 1196/3000 [08:50<13:01,  2.31it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.36e+6]Epoch 1197/3000:  40%|███▉      | 1197/3000 [08:50<12:28,  2.41it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.36e+6]Epoch 1197/3000:  40%|███▉      | 1197/3000 [08:50<12:28,  2.41it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1198/3000:  40%|███▉      | 1197/3000 [08:50<12:28,  2.41it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1198/3000:  40%|███▉      | 1198/3000 [08:51<13:57,  2.15it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.36e+6]Epoch 1198/3000:  40%|███▉      | 1198/3000 [08:51<13:57,  2.15it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.36e+6]Epoch 1199/3000:  40%|███▉      | 1198/3000 [08:51<13:57,  2.15it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.36e+6]Epoch 1199/3000:  40%|███▉      | 1199/3000 [08:51<13:49,  2.17it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.36e+6]Epoch 1199/3000:  40%|███▉      | 1199/3000 [08:51<13:49,  2.17it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.36e+6] Epoch 1200/3000:  40%|███▉      | 1199/3000 [08:51<13:49,  2.17it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.36e+6]Epoch 1200/3000:  40%|████      | 1200/3000 [08:51<12:42,  2.36it/s, v_num=1, train_loss_step=1.4e+6, train_loss_epoch=1.36e+6]Epoch 1200/3000:  40%|████      | 1200/3000 [08:51<12:42,  2.36it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.36e+6]Epoch 1201/3000:  40%|████      | 1200/3000 [08:51<12:42,  2.36it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.36e+6]Epoch 1201/3000:  40%|████      | 1201/3000 [08:52<14:23,  2.08it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.36e+6]Epoch 1201/3000:  40%|████      | 1201/3000 [08:52<14:23,  2.08it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.36e+6]Epoch 1202/3000:  40%|████      | 1201/3000 [08:52<14:23,  2.08it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.36e+6]Epoch 1202/3000:  40%|████      | 1202/3000 [08:52<13:04,  2.29it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.36e+6]Epoch 1202/3000:  40%|████      | 1202/3000 [08:52<13:04,  2.29it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1203/3000:  40%|████      | 1202/3000 [08:52<13:04,  2.29it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1203/3000:  40%|████      | 1203/3000 [08:53<13:45,  2.18it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1203/3000:  40%|████      | 1203/3000 [08:53<13:45,  2.18it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1204/3000:  40%|████      | 1203/3000 [08:53<13:45,  2.18it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1204/3000:  40%|████      | 1204/3000 [08:53<14:49,  2.02it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1204/3000:  40%|████      | 1204/3000 [08:53<14:49,  2.02it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.35e+6]Epoch 1205/3000:  40%|████      | 1204/3000 [08:53<14:49,  2.02it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.35e+6]Epoch 1205/3000:  40%|████      | 1205/3000 [08:54<14:05,  2.12it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.35e+6]Epoch 1205/3000:  40%|████      | 1205/3000 [08:54<14:05,  2.12it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1206/3000:  40%|████      | 1205/3000 [08:54<14:05,  2.12it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1206/3000:  40%|████      | 1206/3000 [08:54<14:21,  2.08it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1206/3000:  40%|████      | 1206/3000 [08:54<14:21,  2.08it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1207/3000:  40%|████      | 1206/3000 [08:54<14:21,  2.08it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1207/3000:  40%|████      | 1207/3000 [08:55<13:57,  2.14it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1207/3000:  40%|████      | 1207/3000 [08:55<13:57,  2.14it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.35e+6]Epoch 1208/3000:  40%|████      | 1207/3000 [08:55<13:57,  2.14it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.35e+6]Epoch 1208/3000:  40%|████      | 1208/3000 [08:55<13:52,  2.15it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.35e+6]Epoch 1208/3000:  40%|████      | 1208/3000 [08:55<13:52,  2.15it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.35e+6]Epoch 1209/3000:  40%|████      | 1208/3000 [08:55<13:52,  2.15it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.35e+6]Epoch 1209/3000:  40%|████      | 1209/3000 [08:56<15:40,  1.90it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.35e+6]Epoch 1209/3000:  40%|████      | 1209/3000 [08:56<15:40,  1.90it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.35e+6]Epoch 1210/3000:  40%|████      | 1209/3000 [08:56<15:40,  1.90it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.35e+6]Epoch 1210/3000:  40%|████      | 1210/3000 [08:56<15:07,  1.97it/s, v_num=1, train_loss_step=1.38e+6, train_loss_epoch=1.35e+6]Epoch 1210/3000:  40%|████      | 1210/3000 [08:56<15:07,  1.97it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.35e+6]Epoch 1211/3000:  40%|████      | 1210/3000 [08:56<15:07,  1.97it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.35e+6]Epoch 1211/3000:  40%|████      | 1211/3000 [08:57<13:43,  2.17it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.35e+6]Epoch 1211/3000:  40%|████      | 1211/3000 [08:57<13:43,  2.17it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.35e+6]Epoch 1212/3000:  40%|████      | 1211/3000 [08:57<13:43,  2.17it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.35e+6]Epoch 1212/3000:  40%|████      | 1212/3000 [08:57<13:54,  2.14it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.35e+6]Epoch 1212/3000:  40%|████      | 1212/3000 [08:57<13:54,  2.14it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1213/3000:  40%|████      | 1212/3000 [08:57<13:54,  2.14it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1213/3000:  40%|████      | 1213/3000 [08:58<13:27,  2.21it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1213/3000:  40%|████      | 1213/3000 [08:58<13:27,  2.21it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.35e+6]Epoch 1214/3000:  40%|████      | 1213/3000 [08:58<13:27,  2.21it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.35e+6]Epoch 1214/3000:  40%|████      | 1214/3000 [08:58<13:01,  2.29it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.35e+6]Epoch 1214/3000:  40%|████      | 1214/3000 [08:58<13:01,  2.29it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.35e+6]Epoch 1215/3000:  40%|████      | 1214/3000 [08:58<13:01,  2.29it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.35e+6]Epoch 1215/3000:  40%|████      | 1215/3000 [08:59<13:34,  2.19it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.35e+6]Epoch 1215/3000:  40%|████      | 1215/3000 [08:59<13:34,  2.19it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1216/3000:  40%|████      | 1215/3000 [08:59<13:34,  2.19it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1216/3000:  41%|████      | 1216/3000 [08:59<14:01,  2.12it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1216/3000:  41%|████      | 1216/3000 [08:59<14:01,  2.12it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.35e+6]Epoch 1217/3000:  41%|████      | 1216/3000 [08:59<14:01,  2.12it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.35e+6]Epoch 1217/3000:  41%|████      | 1217/3000 [09:00<14:38,  2.03it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.35e+6]Epoch 1217/3000:  41%|████      | 1217/3000 [09:00<14:38,  2.03it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1218/3000:  41%|████      | 1217/3000 [09:00<14:38,  2.03it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1218/3000:  41%|████      | 1218/3000 [09:00<14:39,  2.03it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.35e+6]Epoch 1218/3000:  41%|████      | 1218/3000 [09:00<14:39,  2.03it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.35e+6]Epoch 1219/3000:  41%|████      | 1218/3000 [09:00<14:39,  2.03it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.35e+6]Epoch 1219/3000:  41%|████      | 1219/3000 [09:01<15:37,  1.90it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.35e+6]Epoch 1219/3000:  41%|████      | 1219/3000 [09:01<15:37,  1.90it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.35e+6]Epoch 1220/3000:  41%|████      | 1219/3000 [09:01<15:37,  1.90it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.35e+6]Epoch 1220/3000:  41%|████      | 1220/3000 [09:01<15:07,  1.96it/s, v_num=1, train_loss_step=1.39e+6, train_loss_epoch=1.35e+6]Epoch 1220/3000:  41%|████      | 1220/3000 [09:01<15:07,  1.96it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.34e+6]Epoch 1221/3000:  41%|████      | 1220/3000 [09:01<15:07,  1.96it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.34e+6]Epoch 1221/3000:  41%|████      | 1221/3000 [09:02<14:32,  2.04it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.34e+6]Epoch 1221/3000:  41%|████      | 1221/3000 [09:02<14:32,  2.04it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.34e+6]Epoch 1222/3000:  41%|████      | 1221/3000 [09:02<14:32,  2.04it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.34e+6]Epoch 1222/3000:  41%|████      | 1222/3000 [09:02<14:39,  2.02it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.34e+6]Epoch 1222/3000:  41%|████      | 1222/3000 [09:02<14:39,  2.02it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.34e+6]Epoch 1223/3000:  41%|████      | 1222/3000 [09:02<14:39,  2.02it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.34e+6]Epoch 1223/3000:  41%|████      | 1223/3000 [09:03<14:18,  2.07it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.34e+6]Epoch 1223/3000:  41%|████      | 1223/3000 [09:03<14:18,  2.07it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.34e+6]Epoch 1224/3000:  41%|████      | 1223/3000 [09:03<14:18,  2.07it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.34e+6]Epoch 1224/3000:  41%|████      | 1224/3000 [09:03<14:25,  2.05it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.34e+6]Epoch 1224/3000:  41%|████      | 1224/3000 [09:03<14:25,  2.05it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1225/3000:  41%|████      | 1224/3000 [09:03<14:25,  2.05it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1225/3000:  41%|████      | 1225/3000 [09:03<13:48,  2.14it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1225/3000:  41%|████      | 1225/3000 [09:03<13:48,  2.14it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.34e+6]Epoch 1226/3000:  41%|████      | 1225/3000 [09:03<13:48,  2.14it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.34e+6]Epoch 1226/3000:  41%|████      | 1226/3000 [09:04<14:31,  2.03it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.34e+6]Epoch 1226/3000:  41%|████      | 1226/3000 [09:04<14:31,  2.03it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1227/3000:  41%|████      | 1226/3000 [09:04<14:31,  2.03it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1227/3000:  41%|████      | 1227/3000 [09:05<15:31,  1.90it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1227/3000:  41%|████      | 1227/3000 [09:05<15:31,  1.90it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.34e+6]Epoch 1228/3000:  41%|████      | 1227/3000 [09:05<15:31,  1.90it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.34e+6]Epoch 1228/3000:  41%|████      | 1228/3000 [09:05<15:38,  1.89it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.34e+6]Epoch 1228/3000:  41%|████      | 1228/3000 [09:05<15:38,  1.89it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.34e+6] Epoch 1229/3000:  41%|████      | 1228/3000 [09:05<15:38,  1.89it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.34e+6]Epoch 1229/3000:  41%|████      | 1229/3000 [09:06<14:33,  2.03it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.34e+6]Epoch 1229/3000:  41%|████      | 1229/3000 [09:06<14:33,  2.03it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1230/3000:  41%|████      | 1229/3000 [09:06<14:33,  2.03it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1230/3000:  41%|████      | 1230/3000 [09:06<15:30,  1.90it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1230/3000:  41%|████      | 1230/3000 [09:06<15:30,  1.90it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1231/3000:  41%|████      | 1230/3000 [09:06<15:30,  1.90it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1231/3000:  41%|████      | 1231/3000 [09:07<16:18,  1.81it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1231/3000:  41%|████      | 1231/3000 [09:07<16:18,  1.81it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.34e+6] Epoch 1232/3000:  41%|████      | 1231/3000 [09:07<16:18,  1.81it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.34e+6]Epoch 1232/3000:  41%|████      | 1232/3000 [09:07<16:27,  1.79it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.34e+6]Epoch 1232/3000:  41%|████      | 1232/3000 [09:07<16:27,  1.79it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1233/3000:  41%|████      | 1232/3000 [09:07<16:27,  1.79it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1233/3000:  41%|████      | 1233/3000 [09:08<15:50,  1.86it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1233/3000:  41%|████      | 1233/3000 [09:08<15:50,  1.86it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.34e+6]Epoch 1234/3000:  41%|████      | 1233/3000 [09:08<15:50,  1.86it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.34e+6]Epoch 1234/3000:  41%|████      | 1234/3000 [09:08<14:26,  2.04it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.34e+6]Epoch 1234/3000:  41%|████      | 1234/3000 [09:08<14:26,  2.04it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.34e+6]Epoch 1235/3000:  41%|████      | 1234/3000 [09:08<14:26,  2.04it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.34e+6]Epoch 1235/3000:  41%|████      | 1235/3000 [09:09<14:48,  1.99it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.34e+6]Epoch 1235/3000:  41%|████      | 1235/3000 [09:09<14:48,  1.99it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.34e+6]Epoch 1236/3000:  41%|████      | 1235/3000 [09:09<14:48,  1.99it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.34e+6]Epoch 1236/3000:  41%|████      | 1236/3000 [09:09<14:20,  2.05it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.34e+6]Epoch 1236/3000:  41%|████      | 1236/3000 [09:09<14:20,  2.05it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.34e+6]Epoch 1237/3000:  41%|████      | 1236/3000 [09:09<14:20,  2.05it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.34e+6]Epoch 1237/3000:  41%|████      | 1237/3000 [09:10<14:05,  2.08it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.34e+6]Epoch 1237/3000:  41%|████      | 1237/3000 [09:10<14:05,  2.08it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1238/3000:  41%|████      | 1237/3000 [09:10<14:05,  2.08it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1238/3000:  41%|████▏     | 1238/3000 [09:10<15:09,  1.94it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.34e+6]Epoch 1238/3000:  41%|████▏     | 1238/3000 [09:10<15:09,  1.94it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.34e+6]Epoch 1239/3000:  41%|████▏     | 1238/3000 [09:10<15:09,  1.94it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.34e+6]Epoch 1239/3000:  41%|████▏     | 1239/3000 [09:11<15:12,  1.93it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.34e+6]Epoch 1239/3000:  41%|████▏     | 1239/3000 [09:11<15:12,  1.93it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.34e+6]Epoch 1240/3000:  41%|████▏     | 1239/3000 [09:11<15:12,  1.93it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.34e+6]Epoch 1240/3000:  41%|████▏     | 1240/3000 [09:11<14:09,  2.07it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.34e+6]Epoch 1240/3000:  41%|████▏     | 1240/3000 [09:11<14:09,  2.07it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1241/3000:  41%|████▏     | 1240/3000 [09:11<14:09,  2.07it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1241/3000:  41%|████▏     | 1241/3000 [09:12<14:05,  2.08it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1241/3000:  41%|████▏     | 1241/3000 [09:12<14:05,  2.08it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1242/3000:  41%|████▏     | 1241/3000 [09:12<14:05,  2.08it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1242/3000:  41%|████▏     | 1242/3000 [09:12<15:07,  1.94it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1242/3000:  41%|████▏     | 1242/3000 [09:12<15:07,  1.94it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.33e+6]Epoch 1243/3000:  41%|████▏     | 1242/3000 [09:12<15:07,  1.94it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.33e+6]Epoch 1243/3000:  41%|████▏     | 1243/3000 [09:13<14:03,  2.08it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.33e+6]Epoch 1243/3000:  41%|████▏     | 1243/3000 [09:13<14:03,  2.08it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.33e+6]Epoch 1244/3000:  41%|████▏     | 1243/3000 [09:13<14:03,  2.08it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.33e+6]Epoch 1244/3000:  41%|████▏     | 1244/3000 [09:13<13:11,  2.22it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.33e+6]Epoch 1244/3000:  41%|████▏     | 1244/3000 [09:13<13:11,  2.22it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1245/3000:  41%|████▏     | 1244/3000 [09:13<13:11,  2.22it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1245/3000:  42%|████▏     | 1245/3000 [09:13<12:05,  2.42it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1245/3000:  42%|████▏     | 1245/3000 [09:13<12:05,  2.42it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1246/3000:  42%|████▏     | 1245/3000 [09:13<12:05,  2.42it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1246/3000:  42%|████▏     | 1246/3000 [09:14<11:53,  2.46it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1246/3000:  42%|████▏     | 1246/3000 [09:14<11:53,  2.46it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.33e+6]Epoch 1247/3000:  42%|████▏     | 1246/3000 [09:14<11:53,  2.46it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.33e+6]Epoch 1247/3000:  42%|████▏     | 1247/3000 [09:14<10:57,  2.67it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.33e+6]Epoch 1247/3000:  42%|████▏     | 1247/3000 [09:14<10:57,  2.67it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1248/3000:  42%|████▏     | 1247/3000 [09:14<10:57,  2.67it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1248/3000:  42%|████▏     | 1248/3000 [09:14<10:17,  2.84it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1248/3000:  42%|████▏     | 1248/3000 [09:14<10:17,  2.84it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.33e+6]Epoch 1249/3000:  42%|████▏     | 1248/3000 [09:14<10:17,  2.84it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.33e+6]Epoch 1249/3000:  42%|████▏     | 1249/3000 [09:15<11:18,  2.58it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.33e+6]Epoch 1249/3000:  42%|████▏     | 1249/3000 [09:15<11:18,  2.58it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.33e+6]Epoch 1250/3000:  42%|████▏     | 1249/3000 [09:15<11:18,  2.58it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.33e+6]Epoch 1250/3000:  42%|████▏     | 1250/3000 [09:15<09:58,  2.92it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.33e+6]Epoch 1250/3000:  42%|████▏     | 1250/3000 [09:15<09:58,  2.92it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1251/3000:  42%|████▏     | 1250/3000 [09:15<09:58,  2.92it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1251/3000:  42%|████▏     | 1251/3000 [09:15<09:39,  3.02it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1251/3000:  42%|████▏     | 1251/3000 [09:15<09:39,  3.02it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1252/3000:  42%|████▏     | 1251/3000 [09:15<09:39,  3.02it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1252/3000:  42%|████▏     | 1252/3000 [09:16<11:23,  2.56it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1252/3000:  42%|████▏     | 1252/3000 [09:16<11:23,  2.56it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1253/3000:  42%|████▏     | 1252/3000 [09:16<11:23,  2.56it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1253/3000:  42%|████▏     | 1253/3000 [09:16<12:13,  2.38it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1253/3000:  42%|████▏     | 1253/3000 [09:16<12:13,  2.38it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.33e+6]Epoch 1254/3000:  42%|████▏     | 1253/3000 [09:16<12:13,  2.38it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.33e+6]Epoch 1254/3000:  42%|████▏     | 1254/3000 [09:17<11:07,  2.62it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.33e+6]Epoch 1254/3000:  42%|████▏     | 1254/3000 [09:17<11:07,  2.62it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1255/3000:  42%|████▏     | 1254/3000 [09:17<11:07,  2.62it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1255/3000:  42%|████▏     | 1255/3000 [09:17<13:09,  2.21it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1255/3000:  42%|████▏     | 1255/3000 [09:17<13:09,  2.21it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1256/3000:  42%|████▏     | 1255/3000 [09:17<13:09,  2.21it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1256/3000:  42%|████▏     | 1256/3000 [09:18<13:36,  2.14it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1256/3000:  42%|████▏     | 1256/3000 [09:18<13:36,  2.14it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.33e+6]Epoch 1257/3000:  42%|████▏     | 1256/3000 [09:18<13:36,  2.14it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.33e+6]Epoch 1257/3000:  42%|████▏     | 1257/3000 [09:18<14:16,  2.04it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.33e+6]Epoch 1257/3000:  42%|████▏     | 1257/3000 [09:18<14:16,  2.04it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1258/3000:  42%|████▏     | 1257/3000 [09:18<14:16,  2.04it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1258/3000:  42%|████▏     | 1258/3000 [09:19<14:17,  2.03it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.33e+6]Epoch 1258/3000:  42%|████▏     | 1258/3000 [09:19<14:17,  2.03it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1259/3000:  42%|████▏     | 1258/3000 [09:19<14:17,  2.03it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1259/3000:  42%|████▏     | 1259/3000 [09:19<14:34,  1.99it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.33e+6]Epoch 1259/3000:  42%|████▏     | 1259/3000 [09:19<14:34,  1.99it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.32e+6]Epoch 1260/3000:  42%|████▏     | 1259/3000 [09:19<14:34,  1.99it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.32e+6]Epoch 1260/3000:  42%|████▏     | 1260/3000 [09:20<14:02,  2.07it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.32e+6]Epoch 1260/3000:  42%|████▏     | 1260/3000 [09:20<14:02,  2.07it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1261/3000:  42%|████▏     | 1260/3000 [09:20<14:02,  2.07it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1261/3000:  42%|████▏     | 1261/3000 [09:20<13:55,  2.08it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1261/3000:  42%|████▏     | 1261/3000 [09:20<13:55,  2.08it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.32e+6]Epoch 1262/3000:  42%|████▏     | 1261/3000 [09:20<13:55,  2.08it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.32e+6]Epoch 1262/3000:  42%|████▏     | 1262/3000 [09:21<14:20,  2.02it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.32e+6]Epoch 1262/3000:  42%|████▏     | 1262/3000 [09:21<14:20,  2.02it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.32e+6]Epoch 1263/3000:  42%|████▏     | 1262/3000 [09:21<14:20,  2.02it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.32e+6]Epoch 1263/3000:  42%|████▏     | 1263/3000 [09:21<14:16,  2.03it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.32e+6]Epoch 1263/3000:  42%|████▏     | 1263/3000 [09:21<14:16,  2.03it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.32e+6] Epoch 1264/3000:  42%|████▏     | 1263/3000 [09:21<14:16,  2.03it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.32e+6]Epoch 1264/3000:  42%|████▏     | 1264/3000 [09:22<15:19,  1.89it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.32e+6]Epoch 1264/3000:  42%|████▏     | 1264/3000 [09:22<15:19,  1.89it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.32e+6]Epoch 1265/3000:  42%|████▏     | 1264/3000 [09:22<15:19,  1.89it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.32e+6]Epoch 1265/3000:  42%|████▏     | 1265/3000 [09:22<15:05,  1.92it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.32e+6]Epoch 1265/3000:  42%|████▏     | 1265/3000 [09:22<15:05,  1.92it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1266/3000:  42%|████▏     | 1265/3000 [09:22<15:05,  1.92it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1266/3000:  42%|████▏     | 1266/3000 [09:23<16:04,  1.80it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1266/3000:  42%|████▏     | 1266/3000 [09:23<16:04,  1.80it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1267/3000:  42%|████▏     | 1266/3000 [09:23<16:04,  1.80it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1267/3000:  42%|████▏     | 1267/3000 [09:24<16:20,  1.77it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1267/3000:  42%|████▏     | 1267/3000 [09:24<16:20,  1.77it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.32e+6]Epoch 1268/3000:  42%|████▏     | 1267/3000 [09:24<16:20,  1.77it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.32e+6]Epoch 1268/3000:  42%|████▏     | 1268/3000 [09:24<16:52,  1.71it/s, v_num=1, train_loss_step=1.36e+6, train_loss_epoch=1.32e+6]Epoch 1268/3000:  42%|████▏     | 1268/3000 [09:24<16:52,  1.71it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1269/3000:  42%|████▏     | 1268/3000 [09:24<16:52,  1.71it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1269/3000:  42%|████▏     | 1269/3000 [09:25<15:04,  1.91it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1269/3000:  42%|████▏     | 1269/3000 [09:25<15:04,  1.91it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.32e+6]Epoch 1270/3000:  42%|████▏     | 1269/3000 [09:25<15:04,  1.91it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.32e+6]Epoch 1270/3000:  42%|████▏     | 1270/3000 [09:25<14:10,  2.03it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.32e+6]Epoch 1270/3000:  42%|████▏     | 1270/3000 [09:25<14:10,  2.03it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.32e+6]Epoch 1271/3000:  42%|████▏     | 1270/3000 [09:25<14:10,  2.03it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.32e+6]Epoch 1271/3000:  42%|████▏     | 1271/3000 [09:26<13:47,  2.09it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.32e+6]Epoch 1271/3000:  42%|████▏     | 1271/3000 [09:26<13:47,  2.09it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.32e+6]Epoch 1272/3000:  42%|████▏     | 1271/3000 [09:26<13:47,  2.09it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.32e+6]Epoch 1272/3000:  42%|████▏     | 1272/3000 [09:26<13:23,  2.15it/s, v_num=1, train_loss_step=1.35e+6, train_loss_epoch=1.32e+6]Epoch 1272/3000:  42%|████▏     | 1272/3000 [09:26<13:23,  2.15it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.32e+6]Epoch 1273/3000:  42%|████▏     | 1272/3000 [09:26<13:23,  2.15it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.32e+6]Epoch 1273/3000:  42%|████▏     | 1273/3000 [09:27<14:19,  2.01it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.32e+6]Epoch 1273/3000:  42%|████▏     | 1273/3000 [09:27<14:19,  2.01it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.32e+6]Epoch 1274/3000:  42%|████▏     | 1273/3000 [09:27<14:19,  2.01it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.32e+6]Epoch 1274/3000:  42%|████▏     | 1274/3000 [09:27<14:14,  2.02it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.32e+6]Epoch 1274/3000:  42%|████▏     | 1274/3000 [09:27<14:14,  2.02it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.32e+6]Epoch 1275/3000:  42%|████▏     | 1274/3000 [09:27<14:14,  2.02it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.32e+6]Epoch 1275/3000:  42%|████▎     | 1275/3000 [09:27<13:25,  2.14it/s, v_num=1, train_loss_step=1.37e+6, train_loss_epoch=1.32e+6]Epoch 1275/3000:  42%|████▎     | 1275/3000 [09:27<13:25,  2.14it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1276/3000:  42%|████▎     | 1275/3000 [09:27<13:25,  2.14it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1276/3000:  43%|████▎     | 1276/3000 [09:28<13:46,  2.09it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1276/3000:  43%|████▎     | 1276/3000 [09:28<13:46,  2.09it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.32e+6]Epoch 1277/3000:  43%|████▎     | 1276/3000 [09:28<13:46,  2.09it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.32e+6]Epoch 1277/3000:  43%|████▎     | 1277/3000 [09:29<14:57,  1.92it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.32e+6]Epoch 1277/3000:  43%|████▎     | 1277/3000 [09:29<14:57,  1.92it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1278/3000:  43%|████▎     | 1277/3000 [09:29<14:57,  1.92it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1278/3000:  43%|████▎     | 1278/3000 [09:29<13:52,  2.07it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.32e+6]Epoch 1278/3000:  43%|████▎     | 1278/3000 [09:29<13:52,  2.07it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.32e+6] Epoch 1279/3000:  43%|████▎     | 1278/3000 [09:29<13:52,  2.07it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.32e+6]Epoch 1279/3000:  43%|████▎     | 1279/3000 [09:29<13:15,  2.16it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.32e+6]Epoch 1279/3000:  43%|████▎     | 1279/3000 [09:29<13:15,  2.16it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.32e+6]Epoch 1280/3000:  43%|████▎     | 1279/3000 [09:29<13:15,  2.16it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.32e+6]Epoch 1280/3000:  43%|████▎     | 1280/3000 [09:30<13:07,  2.19it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.32e+6]Epoch 1280/3000:  43%|████▎     | 1280/3000 [09:30<13:07,  2.19it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6] Epoch 1281/3000:  43%|████▎     | 1280/3000 [09:30<13:07,  2.19it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6]Epoch 1281/3000:  43%|████▎     | 1281/3000 [09:30<13:06,  2.18it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6]Epoch 1281/3000:  43%|████▎     | 1281/3000 [09:30<13:06,  2.18it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6]Epoch 1282/3000:  43%|████▎     | 1281/3000 [09:30<13:06,  2.18it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6]Epoch 1282/3000:  43%|████▎     | 1282/3000 [09:31<11:31,  2.48it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6]Epoch 1282/3000:  43%|████▎     | 1282/3000 [09:31<11:31,  2.48it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1283/3000:  43%|████▎     | 1282/3000 [09:31<11:31,  2.48it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1283/3000:  43%|████▎     | 1283/3000 [09:31<12:40,  2.26it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1283/3000:  43%|████▎     | 1283/3000 [09:31<12:40,  2.26it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1284/3000:  43%|████▎     | 1283/3000 [09:31<12:40,  2.26it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1284/3000:  43%|████▎     | 1284/3000 [09:31<12:21,  2.31it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1284/3000:  43%|████▎     | 1284/3000 [09:31<12:21,  2.31it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1285/3000:  43%|████▎     | 1284/3000 [09:31<12:21,  2.31it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1285/3000:  43%|████▎     | 1285/3000 [09:32<13:10,  2.17it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1285/3000:  43%|████▎     | 1285/3000 [09:32<13:10,  2.17it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1286/3000:  43%|████▎     | 1285/3000 [09:32<13:10,  2.17it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1286/3000:  43%|████▎     | 1286/3000 [09:32<13:19,  2.14it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1286/3000:  43%|████▎     | 1286/3000 [09:32<13:19,  2.14it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1287/3000:  43%|████▎     | 1286/3000 [09:32<13:19,  2.14it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1287/3000:  43%|████▎     | 1287/3000 [09:33<13:01,  2.19it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1287/3000:  43%|████▎     | 1287/3000 [09:33<13:01,  2.19it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1288/3000:  43%|████▎     | 1287/3000 [09:33<13:01,  2.19it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1288/3000:  43%|████▎     | 1288/3000 [09:33<13:37,  2.09it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1288/3000:  43%|████▎     | 1288/3000 [09:33<13:37,  2.09it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1289/3000:  43%|████▎     | 1288/3000 [09:33<13:37,  2.09it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1289/3000:  43%|████▎     | 1289/3000 [09:34<14:46,  1.93it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1289/3000:  43%|████▎     | 1289/3000 [09:34<14:46,  1.93it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1290/3000:  43%|████▎     | 1289/3000 [09:34<14:46,  1.93it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1290/3000:  43%|████▎     | 1290/3000 [09:35<15:41,  1.82it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1290/3000:  43%|████▎     | 1290/3000 [09:35<15:41,  1.82it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1291/3000:  43%|████▎     | 1290/3000 [09:35<15:41,  1.82it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1291/3000:  43%|████▎     | 1291/3000 [09:35<14:30,  1.96it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1291/3000:  43%|████▎     | 1291/3000 [09:35<14:30,  1.96it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1292/3000:  43%|████▎     | 1291/3000 [09:35<14:30,  1.96it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1292/3000:  43%|████▎     | 1292/3000 [09:35<13:03,  2.18it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1292/3000:  43%|████▎     | 1292/3000 [09:35<13:03,  2.18it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6] Epoch 1293/3000:  43%|████▎     | 1292/3000 [09:35<13:03,  2.18it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6]Epoch 1293/3000:  43%|████▎     | 1293/3000 [09:36<12:05,  2.35it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6]Epoch 1293/3000:  43%|████▎     | 1293/3000 [09:36<12:05,  2.35it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1294/3000:  43%|████▎     | 1293/3000 [09:36<12:05,  2.35it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1294/3000:  43%|████▎     | 1294/3000 [09:36<10:50,  2.62it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1294/3000:  43%|████▎     | 1294/3000 [09:36<10:50,  2.62it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1295/3000:  43%|████▎     | 1294/3000 [09:36<10:50,  2.62it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1295/3000:  43%|████▎     | 1295/3000 [09:36<10:38,  2.67it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1295/3000:  43%|████▎     | 1295/3000 [09:36<10:38,  2.67it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1296/3000:  43%|████▎     | 1295/3000 [09:36<10:38,  2.67it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1296/3000:  43%|████▎     | 1296/3000 [09:37<10:13,  2.78it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1296/3000:  43%|████▎     | 1296/3000 [09:37<10:13,  2.78it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6] Epoch 1297/3000:  43%|████▎     | 1296/3000 [09:37<10:13,  2.78it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6]Epoch 1297/3000:  43%|████▎     | 1297/3000 [09:37<11:09,  2.54it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6]Epoch 1297/3000:  43%|████▎     | 1297/3000 [09:37<11:09,  2.54it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1298/3000:  43%|████▎     | 1297/3000 [09:37<11:09,  2.54it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1298/3000:  43%|████▎     | 1298/3000 [09:38<12:23,  2.29it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.31e+6]Epoch 1298/3000:  43%|████▎     | 1298/3000 [09:38<12:23,  2.29it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1299/3000:  43%|████▎     | 1298/3000 [09:38<12:23,  2.29it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1299/3000:  43%|████▎     | 1299/3000 [09:38<11:41,  2.42it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.31e+6]Epoch 1299/3000:  43%|████▎     | 1299/3000 [09:38<11:41,  2.42it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6] Epoch 1300/3000:  43%|████▎     | 1299/3000 [09:38<11:41,  2.42it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6]Epoch 1300/3000:  43%|████▎     | 1300/3000 [09:39<11:45,  2.41it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.31e+6]Epoch 1300/3000:  43%|████▎     | 1300/3000 [09:39<11:45,  2.41it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1301/3000:  43%|████▎     | 1300/3000 [09:39<11:45,  2.41it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1301/3000:  43%|████▎     | 1301/3000 [09:39<13:08,  2.15it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.31e+6]Epoch 1301/3000:  43%|████▎     | 1301/3000 [09:39<13:08,  2.15it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.3e+6] Epoch 1302/3000:  43%|████▎     | 1301/3000 [09:39<13:08,  2.15it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.3e+6]Epoch 1302/3000:  43%|████▎     | 1302/3000 [09:40<14:19,  1.98it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.3e+6]Epoch 1302/3000:  43%|████▎     | 1302/3000 [09:40<14:19,  1.98it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6] Epoch 1303/3000:  43%|████▎     | 1302/3000 [09:40<14:19,  1.98it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1303/3000:  43%|████▎     | 1303/3000 [09:40<15:13,  1.86it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1303/3000:  43%|████▎     | 1303/3000 [09:40<15:13,  1.86it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1304/3000:  43%|████▎     | 1303/3000 [09:40<15:13,  1.86it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1304/3000:  43%|████▎     | 1304/3000 [09:41<14:33,  1.94it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1304/3000:  43%|████▎     | 1304/3000 [09:41<14:33,  1.94it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1305/3000:  43%|████▎     | 1304/3000 [09:41<14:33,  1.94it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1305/3000:  44%|████▎     | 1305/3000 [09:41<13:35,  2.08it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1305/3000:  44%|████▎     | 1305/3000 [09:41<13:35,  2.08it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.3e+6]Epoch 1306/3000:  44%|████▎     | 1305/3000 [09:41<13:35,  2.08it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.3e+6]Epoch 1306/3000:  44%|████▎     | 1306/3000 [09:42<13:03,  2.16it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.3e+6]Epoch 1306/3000:  44%|████▎     | 1306/3000 [09:42<13:03,  2.16it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.3e+6]Epoch 1307/3000:  44%|████▎     | 1306/3000 [09:42<13:03,  2.16it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.3e+6]Epoch 1307/3000:  44%|████▎     | 1307/3000 [09:42<13:02,  2.16it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6] Epoch 1308/3000:  44%|████▎     | 1307/3000 [09:42<13:02,  2.16it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1308/3000:  44%|████▎     | 1308/3000 [09:42<09:08,  3.08it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1308/3000:  44%|████▎     | 1308/3000 [09:42<09:08,  3.08it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.3e+6]Epoch 1309/3000:  44%|████▎     | 1308/3000 [09:42<09:08,  3.08it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.3e+6]Epoch 1309/3000:  44%|████▎     | 1309/3000 [09:42<08:25,  3.34it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.3e+6]Epoch 1309/3000:  44%|████▎     | 1309/3000 [09:42<08:25,  3.34it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6] Epoch 1310/3000:  44%|████▎     | 1309/3000 [09:42<08:25,  3.34it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1310/3000:  44%|████▎     | 1310/3000 [09:42<08:25,  3.34it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.3e+6]Epoch 1311/3000:  44%|████▎     | 1310/3000 [09:42<08:25,  3.34it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.3e+6]Epoch 1311/3000:  44%|████▎     | 1311/3000 [09:42<05:57,  4.72it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.3e+6]Epoch 1311/3000:  44%|████▎     | 1311/3000 [09:42<05:57,  4.72it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6] Epoch 1312/3000:  44%|████▎     | 1311/3000 [09:42<05:57,  4.72it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1312/3000:  44%|████▎     | 1312/3000 [09:42<05:41,  4.94it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1312/3000:  44%|████▎     | 1312/3000 [09:42<05:41,  4.94it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1313/3000:  44%|████▎     | 1312/3000 [09:43<05:41,  4.94it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1313/3000:  44%|████▍     | 1313/3000 [09:43<05:05,  5.52it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.3e+6]Epoch 1313/3000:  44%|████▍     | 1313/3000 [09:43<05:05,  5.52it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.3e+6]Epoch 1314/3000:  44%|████▍     | 1313/3000 [09:43<05:05,  5.52it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.3e+6]Epoch 1314/3000:  44%|████▍     | 1314/3000 [09:43<05:05,  5.52it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.3e+6]Epoch 1315/3000:  44%|████▍     | 1314/3000 [09:43<05:05,  5.52it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.3e+6]Epoch 1315/3000:  44%|████▍     | 1315/3000 [09:43<05:22,  5.22it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.3e+6]Epoch 1315/3000:  44%|████▍     | 1315/3000 [09:43<05:22,  5.22it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.3e+6]Epoch 1316/3000:  44%|████▍     | 1315/3000 [09:43<05:22,  5.22it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.3e+6]Epoch 1316/3000:  44%|████▍     | 1316/3000 [09:44<07:16,  3.86it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.3e+6]Epoch 1316/3000:  44%|████▍     | 1316/3000 [09:44<07:16,  3.86it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.3e+6]Epoch 1317/3000:  44%|████▍     | 1316/3000 [09:44<07:16,  3.86it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.3e+6]Epoch 1317/3000:  44%|████▍     | 1317/3000 [09:44<08:48,  3.18it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.3e+6]Epoch 1317/3000:  44%|████▍     | 1317/3000 [09:44<08:48,  3.18it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.3e+6]Epoch 1318/3000:  44%|████▍     | 1317/3000 [09:44<08:48,  3.18it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.3e+6]Epoch 1318/3000:  44%|████▍     | 1318/3000 [09:44<09:19,  3.01it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.3e+6]Epoch 1318/3000:  44%|████▍     | 1318/3000 [09:44<09:19,  3.01it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.3e+6]Epoch 1319/3000:  44%|████▍     | 1318/3000 [09:44<09:19,  3.01it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.3e+6]Epoch 1319/3000:  44%|████▍     | 1319/3000 [09:45<11:21,  2.47it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.3e+6]Epoch 1319/3000:  44%|████▍     | 1319/3000 [09:45<11:21,  2.47it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.3e+6]Epoch 1320/3000:  44%|████▍     | 1319/3000 [09:45<11:21,  2.47it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.3e+6]Epoch 1320/3000:  44%|████▍     | 1320/3000 [09:46<12:26,  2.25it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.3e+6]Epoch 1320/3000:  44%|████▍     | 1320/3000 [09:46<12:26,  2.25it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.3e+6]Epoch 1321/3000:  44%|████▍     | 1320/3000 [09:46<12:26,  2.25it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.3e+6]Epoch 1321/3000:  44%|████▍     | 1321/3000 [09:46<13:21,  2.10it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.3e+6]Epoch 1321/3000:  44%|████▍     | 1321/3000 [09:46<13:21,  2.10it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.3e+6]Epoch 1322/3000:  44%|████▍     | 1321/3000 [09:46<13:21,  2.10it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.3e+6]Epoch 1322/3000:  44%|████▍     | 1322/3000 [09:47<14:28,  1.93it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.3e+6]Epoch 1322/3000:  44%|████▍     | 1322/3000 [09:47<14:28,  1.93it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.3e+6]Epoch 1323/3000:  44%|████▍     | 1322/3000 [09:47<14:28,  1.93it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.3e+6]Epoch 1323/3000:  44%|████▍     | 1323/3000 [09:47<12:00,  2.33it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.3e+6]Epoch 1323/3000:  44%|████▍     | 1323/3000 [09:47<12:00,  2.33it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.3e+6]Epoch 1324/3000:  44%|████▍     | 1323/3000 [09:47<12:00,  2.33it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.3e+6]Epoch 1324/3000:  44%|████▍     | 1324/3000 [09:47<12:18,  2.27it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.3e+6]Epoch 1324/3000:  44%|████▍     | 1324/3000 [09:47<12:18,  2.27it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.29e+6]Epoch 1325/3000:  44%|████▍     | 1324/3000 [09:47<12:18,  2.27it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.29e+6]Epoch 1325/3000:  44%|████▍     | 1325/3000 [09:48<12:15,  2.28it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.29e+6]Epoch 1325/3000:  44%|████▍     | 1325/3000 [09:48<12:15,  2.28it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.29e+6]Epoch 1326/3000:  44%|████▍     | 1325/3000 [09:48<12:15,  2.28it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.29e+6]Epoch 1326/3000:  44%|████▍     | 1326/3000 [09:48<11:47,  2.37it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.29e+6]Epoch 1326/3000:  44%|████▍     | 1326/3000 [09:48<11:47,  2.37it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6] Epoch 1327/3000:  44%|████▍     | 1326/3000 [09:48<11:47,  2.37it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1327/3000:  44%|████▍     | 1327/3000 [09:49<12:25,  2.24it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1327/3000:  44%|████▍     | 1327/3000 [09:49<12:25,  2.24it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1328/3000:  44%|████▍     | 1327/3000 [09:49<12:25,  2.24it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1328/3000:  44%|████▍     | 1328/3000 [09:49<12:10,  2.29it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1328/3000:  44%|████▍     | 1328/3000 [09:49<12:10,  2.29it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.29e+6]Epoch 1329/3000:  44%|████▍     | 1328/3000 [09:49<12:10,  2.29it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.29e+6]Epoch 1329/3000:  44%|████▍     | 1329/3000 [09:50<12:20,  2.26it/s, v_num=1, train_loss_step=1.33e+6, train_loss_epoch=1.29e+6]Epoch 1329/3000:  44%|████▍     | 1329/3000 [09:50<12:20,  2.26it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1330/3000:  44%|████▍     | 1329/3000 [09:50<12:20,  2.26it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1330/3000:  44%|████▍     | 1330/3000 [09:50<12:45,  2.18it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1330/3000:  44%|████▍     | 1330/3000 [09:50<12:45,  2.18it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1331/3000:  44%|████▍     | 1330/3000 [09:50<12:45,  2.18it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1331/3000:  44%|████▍     | 1331/3000 [09:51<14:44,  1.89it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1331/3000:  44%|████▍     | 1331/3000 [09:51<14:44,  1.89it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6] Epoch 1332/3000:  44%|████▍     | 1331/3000 [09:51<14:44,  1.89it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1332/3000:  44%|████▍     | 1332/3000 [09:51<14:49,  1.87it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1332/3000:  44%|████▍     | 1332/3000 [09:51<14:49,  1.87it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1333/3000:  44%|████▍     | 1332/3000 [09:51<14:49,  1.87it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1333/3000:  44%|████▍     | 1333/3000 [09:52<13:45,  2.02it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1333/3000:  44%|████▍     | 1333/3000 [09:52<13:45,  2.02it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.29e+6]Epoch 1334/3000:  44%|████▍     | 1333/3000 [09:52<13:45,  2.02it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.29e+6]Epoch 1334/3000:  44%|████▍     | 1334/3000 [09:52<12:36,  2.20it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.29e+6]Epoch 1334/3000:  44%|████▍     | 1334/3000 [09:52<12:36,  2.20it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.29e+6]Epoch 1335/3000:  44%|████▍     | 1334/3000 [09:52<12:36,  2.20it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.29e+6]Epoch 1335/3000:  44%|████▍     | 1335/3000 [09:53<13:08,  2.11it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.29e+6]Epoch 1335/3000:  44%|████▍     | 1335/3000 [09:53<13:08,  2.11it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1336/3000:  44%|████▍     | 1335/3000 [09:53<13:08,  2.11it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1336/3000:  45%|████▍     | 1336/3000 [09:53<14:03,  1.97it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1336/3000:  45%|████▍     | 1336/3000 [09:53<14:03,  1.97it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.29e+6]Epoch 1337/3000:  45%|████▍     | 1336/3000 [09:53<14:03,  1.97it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.29e+6]Epoch 1337/3000:  45%|████▍     | 1337/3000 [09:54<14:37,  1.89it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.29e+6]Epoch 1337/3000:  45%|████▍     | 1337/3000 [09:54<14:37,  1.89it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6] Epoch 1338/3000:  45%|████▍     | 1337/3000 [09:54<14:37,  1.89it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1338/3000:  45%|████▍     | 1338/3000 [09:54<13:25,  2.06it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1338/3000:  45%|████▍     | 1338/3000 [09:54<13:25,  2.06it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.29e+6]Epoch 1339/3000:  45%|████▍     | 1338/3000 [09:54<13:25,  2.06it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.29e+6]Epoch 1339/3000:  45%|████▍     | 1339/3000 [09:54<12:16,  2.26it/s, v_num=1, train_loss_step=1.31e+6, train_loss_epoch=1.29e+6]Epoch 1339/3000:  45%|████▍     | 1339/3000 [09:54<12:16,  2.26it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.29e+6]Epoch 1340/3000:  45%|████▍     | 1339/3000 [09:55<12:16,  2.26it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.29e+6]Epoch 1340/3000:  45%|████▍     | 1340/3000 [09:55<11:02,  2.50it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.29e+6]Epoch 1340/3000:  45%|████▍     | 1340/3000 [09:55<11:02,  2.50it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.29e+6]Epoch 1341/3000:  45%|████▍     | 1340/3000 [09:55<11:02,  2.50it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.29e+6]Epoch 1341/3000:  45%|████▍     | 1341/3000 [09:55<10:03,  2.75it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.29e+6]Epoch 1341/3000:  45%|████▍     | 1341/3000 [09:55<10:03,  2.75it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1342/3000:  45%|████▍     | 1341/3000 [09:55<10:03,  2.75it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1342/3000:  45%|████▍     | 1342/3000 [09:56<12:12,  2.26it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1342/3000:  45%|████▍     | 1342/3000 [09:56<12:12,  2.26it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6] Epoch 1343/3000:  45%|████▍     | 1342/3000 [09:56<12:12,  2.26it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1343/3000:  45%|████▍     | 1343/3000 [09:56<13:30,  2.04it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1343/3000:  45%|████▍     | 1343/3000 [09:56<13:30,  2.04it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1344/3000:  45%|████▍     | 1343/3000 [09:56<13:30,  2.04it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1344/3000:  45%|████▍     | 1344/3000 [09:57<14:29,  1.91it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1344/3000:  45%|████▍     | 1344/3000 [09:57<14:29,  1.91it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1345/3000:  45%|████▍     | 1344/3000 [09:57<14:29,  1.91it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1345/3000:  45%|████▍     | 1345/3000 [09:57<14:46,  1.87it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1345/3000:  45%|████▍     | 1345/3000 [09:57<14:46,  1.87it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1346/3000:  45%|████▍     | 1345/3000 [09:57<14:46,  1.87it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1346/3000:  45%|████▍     | 1346/3000 [09:58<14:04,  1.96it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.29e+6]Epoch 1346/3000:  45%|████▍     | 1346/3000 [09:58<14:04,  1.96it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6] Epoch 1347/3000:  45%|████▍     | 1346/3000 [09:58<14:04,  1.96it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1347/3000:  45%|████▍     | 1347/3000 [09:58<12:53,  2.14it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.29e+6]Epoch 1347/3000:  45%|████▍     | 1347/3000 [09:58<12:53,  2.14it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1348/3000:  45%|████▍     | 1347/3000 [09:58<12:53,  2.14it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1348/3000:  45%|████▍     | 1348/3000 [09:59<12:59,  2.12it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1348/3000:  45%|████▍     | 1348/3000 [09:59<12:59,  2.12it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1349/3000:  45%|████▍     | 1348/3000 [09:59<12:59,  2.12it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1349/3000:  45%|████▍     | 1349/3000 [09:59<12:44,  2.16it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1349/3000:  45%|████▍     | 1349/3000 [09:59<12:44,  2.16it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.28e+6] Epoch 1350/3000:  45%|████▍     | 1349/3000 [09:59<12:44,  2.16it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.28e+6]Epoch 1350/3000:  45%|████▌     | 1350/3000 [10:00<13:27,  2.04it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.28e+6]Epoch 1350/3000:  45%|████▌     | 1350/3000 [10:00<13:27,  2.04it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.28e+6]Epoch 1351/3000:  45%|████▌     | 1350/3000 [10:00<13:27,  2.04it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.28e+6]Epoch 1351/3000:  45%|████▌     | 1351/3000 [10:00<12:52,  2.13it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.28e+6]Epoch 1351/3000:  45%|████▌     | 1351/3000 [10:00<12:52,  2.13it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1352/3000:  45%|████▌     | 1351/3000 [10:00<12:52,  2.13it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1352/3000:  45%|████▌     | 1352/3000 [10:01<13:55,  1.97it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1352/3000:  45%|████▌     | 1352/3000 [10:01<13:55,  1.97it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.28e+6]Epoch 1353/3000:  45%|████▌     | 1352/3000 [10:01<13:55,  1.97it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.28e+6]Epoch 1353/3000:  45%|████▌     | 1353/3000 [10:01<14:54,  1.84it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.28e+6]Epoch 1353/3000:  45%|████▌     | 1353/3000 [10:01<14:54,  1.84it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.28e+6]Epoch 1354/3000:  45%|████▌     | 1353/3000 [10:01<14:54,  1.84it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.28e+6]Epoch 1354/3000:  45%|████▌     | 1354/3000 [10:02<14:05,  1.95it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.28e+6]Epoch 1354/3000:  45%|████▌     | 1354/3000 [10:02<14:05,  1.95it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1355/3000:  45%|████▌     | 1354/3000 [10:02<14:05,  1.95it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1355/3000:  45%|████▌     | 1355/3000 [10:02<11:04,  2.47it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1355/3000:  45%|████▌     | 1355/3000 [10:02<11:04,  2.47it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1356/3000:  45%|████▌     | 1355/3000 [10:02<11:04,  2.47it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1356/3000:  45%|████▌     | 1356/3000 [10:02<11:45,  2.33it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1356/3000:  45%|████▌     | 1356/3000 [10:02<11:45,  2.33it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1357/3000:  45%|████▌     | 1356/3000 [10:02<11:45,  2.33it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1357/3000:  45%|████▌     | 1357/3000 [10:03<10:18,  2.66it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1357/3000:  45%|████▌     | 1357/3000 [10:03<10:18,  2.66it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.28e+6]Epoch 1358/3000:  45%|████▌     | 1357/3000 [10:03<10:18,  2.66it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.28e+6]Epoch 1358/3000:  45%|████▌     | 1358/3000 [10:03<11:26,  2.39it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.28e+6]Epoch 1358/3000:  45%|████▌     | 1358/3000 [10:03<11:26,  2.39it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.28e+6]Epoch 1359/3000:  45%|████▌     | 1358/3000 [10:03<11:26,  2.39it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.28e+6]Epoch 1359/3000:  45%|████▌     | 1359/3000 [10:04<13:17,  2.06it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.28e+6]Epoch 1359/3000:  45%|████▌     | 1359/3000 [10:04<13:17,  2.06it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.28e+6]Epoch 1360/3000:  45%|████▌     | 1359/3000 [10:04<13:17,  2.06it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.28e+6]Epoch 1360/3000:  45%|████▌     | 1360/3000 [10:04<12:07,  2.25it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.28e+6]Epoch 1360/3000:  45%|████▌     | 1360/3000 [10:04<12:07,  2.25it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.28e+6]Epoch 1361/3000:  45%|████▌     | 1360/3000 [10:04<12:07,  2.25it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.28e+6]Epoch 1361/3000:  45%|████▌     | 1361/3000 [10:05<11:24,  2.39it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.28e+6]Epoch 1361/3000:  45%|████▌     | 1361/3000 [10:05<11:24,  2.39it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.28e+6]Epoch 1362/3000:  45%|████▌     | 1361/3000 [10:05<11:24,  2.39it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.28e+6]Epoch 1362/3000:  45%|████▌     | 1362/3000 [10:05<13:17,  2.05it/s, v_num=1, train_loss_step=1.34e+6, train_loss_epoch=1.28e+6]Epoch 1362/3000:  45%|████▌     | 1362/3000 [10:05<13:17,  2.05it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1363/3000:  45%|████▌     | 1362/3000 [10:05<13:17,  2.05it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1363/3000:  45%|████▌     | 1363/3000 [10:06<14:19,  1.90it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1363/3000:  45%|████▌     | 1363/3000 [10:06<14:19,  1.90it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1364/3000:  45%|████▌     | 1363/3000 [10:06<14:19,  1.90it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1364/3000:  45%|████▌     | 1364/3000 [10:06<12:45,  2.14it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1364/3000:  45%|████▌     | 1364/3000 [10:06<12:45,  2.14it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1365/3000:  45%|████▌     | 1364/3000 [10:06<12:45,  2.14it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1365/3000:  46%|████▌     | 1365/3000 [10:07<12:24,  2.20it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.28e+6]Epoch 1365/3000:  46%|████▌     | 1365/3000 [10:07<12:24,  2.20it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1366/3000:  46%|████▌     | 1365/3000 [10:07<12:24,  2.20it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1366/3000:  46%|████▌     | 1366/3000 [10:07<13:20,  2.04it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1366/3000:  46%|████▌     | 1366/3000 [10:07<13:20,  2.04it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1367/3000:  46%|████▌     | 1366/3000 [10:07<13:20,  2.04it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1367/3000:  46%|████▌     | 1367/3000 [10:08<13:32,  2.01it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.28e+6]Epoch 1367/3000:  46%|████▌     | 1367/3000 [10:08<13:32,  2.01it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.28e+6]Epoch 1368/3000:  46%|████▌     | 1367/3000 [10:08<13:32,  2.01it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.28e+6]Epoch 1368/3000:  46%|████▌     | 1368/3000 [10:08<14:13,  1.91it/s, v_num=1, train_loss_step=1.32e+6, train_loss_epoch=1.28e+6]Epoch 1368/3000:  46%|████▌     | 1368/3000 [10:08<14:13,  1.91it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.28e+6]Epoch 1369/3000:  46%|████▌     | 1368/3000 [10:08<14:13,  1.91it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.28e+6]Epoch 1369/3000:  46%|████▌     | 1369/3000 [10:09<13:51,  1.96it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.28e+6]Epoch 1369/3000:  46%|████▌     | 1369/3000 [10:09<13:51,  1.96it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.28e+6]Epoch 1370/3000:  46%|████▌     | 1369/3000 [10:09<13:51,  1.96it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.28e+6]Epoch 1370/3000:  46%|████▌     | 1370/3000 [10:09<13:07,  2.07it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.28e+6]Epoch 1370/3000:  46%|████▌     | 1370/3000 [10:09<13:07,  2.07it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.28e+6]Epoch 1371/3000:  46%|████▌     | 1370/3000 [10:09<13:07,  2.07it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.28e+6]Epoch 1371/3000:  46%|████▌     | 1371/3000 [10:10<12:58,  2.09it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.28e+6]Epoch 1371/3000:  46%|████▌     | 1371/3000 [10:10<12:58,  2.09it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.27e+6]Epoch 1372/3000:  46%|████▌     | 1371/3000 [10:10<12:58,  2.09it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.27e+6]Epoch 1372/3000:  46%|████▌     | 1372/3000 [10:10<13:29,  2.01it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.27e+6]Epoch 1372/3000:  46%|████▌     | 1372/3000 [10:10<13:29,  2.01it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1373/3000:  46%|████▌     | 1372/3000 [10:10<13:29,  2.01it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1373/3000:  46%|████▌     | 1373/3000 [10:10<11:49,  2.29it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1373/3000:  46%|████▌     | 1373/3000 [10:10<11:49,  2.29it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1374/3000:  46%|████▌     | 1373/3000 [10:11<11:49,  2.29it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1374/3000:  46%|████▌     | 1374/3000 [10:11<11:15,  2.41it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1374/3000:  46%|████▌     | 1374/3000 [10:11<11:15,  2.41it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1375/3000:  46%|████▌     | 1374/3000 [10:11<11:15,  2.41it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1375/3000:  46%|████▌     | 1375/3000 [10:11<11:23,  2.38it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1375/3000:  46%|████▌     | 1375/3000 [10:11<11:23,  2.38it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.27e+6]Epoch 1376/3000:  46%|████▌     | 1375/3000 [10:11<11:23,  2.38it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.27e+6]Epoch 1376/3000:  46%|████▌     | 1376/3000 [10:12<13:01,  2.08it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.27e+6]Epoch 1376/3000:  46%|████▌     | 1376/3000 [10:12<13:01,  2.08it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1377/3000:  46%|████▌     | 1376/3000 [10:12<13:01,  2.08it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1377/3000:  46%|████▌     | 1377/3000 [10:13<15:42,  1.72it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1377/3000:  46%|████▌     | 1377/3000 [10:13<15:42,  1.72it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.27e+6]Epoch 1378/3000:  46%|████▌     | 1377/3000 [10:13<15:42,  1.72it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.27e+6]Epoch 1378/3000:  46%|████▌     | 1378/3000 [10:13<15:09,  1.78it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.27e+6]Epoch 1378/3000:  46%|████▌     | 1378/3000 [10:13<15:09,  1.78it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1379/3000:  46%|████▌     | 1378/3000 [10:13<15:09,  1.78it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1379/3000:  46%|████▌     | 1379/3000 [10:14<13:46,  1.96it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1379/3000:  46%|████▌     | 1379/3000 [10:14<13:46,  1.96it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1380/3000:  46%|████▌     | 1379/3000 [10:14<13:46,  1.96it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1380/3000:  46%|████▌     | 1380/3000 [10:14<11:31,  2.34it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1380/3000:  46%|████▌     | 1380/3000 [10:14<11:31,  2.34it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.27e+6]Epoch 1381/3000:  46%|████▌     | 1380/3000 [10:14<11:31,  2.34it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.27e+6]Epoch 1381/3000:  46%|████▌     | 1381/3000 [10:14<09:15,  2.91it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.27e+6]Epoch 1381/3000:  46%|████▌     | 1381/3000 [10:14<09:15,  2.91it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.27e+6]Epoch 1382/3000:  46%|████▌     | 1381/3000 [10:14<09:15,  2.91it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.27e+6]Epoch 1382/3000:  46%|████▌     | 1382/3000 [10:14<09:27,  2.85it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.27e+6]Epoch 1382/3000:  46%|████▌     | 1382/3000 [10:14<09:27,  2.85it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1383/3000:  46%|████▌     | 1382/3000 [10:14<09:27,  2.85it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1383/3000:  46%|████▌     | 1383/3000 [10:15<10:10,  2.65it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.27e+6]Epoch 1383/3000:  46%|████▌     | 1383/3000 [10:15<10:10,  2.65it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.27e+6]Epoch 1384/3000:  46%|████▌     | 1383/3000 [10:15<10:10,  2.65it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.27e+6]Epoch 1384/3000:  46%|████▌     | 1384/3000 [10:15<11:42,  2.30it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.27e+6]Epoch 1384/3000:  46%|████▌     | 1384/3000 [10:15<11:42,  2.30it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.27e+6]Epoch 1385/3000:  46%|████▌     | 1384/3000 [10:15<11:42,  2.30it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.27e+6]Epoch 1385/3000:  46%|████▌     | 1385/3000 [10:16<11:54,  2.26it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.27e+6]Epoch 1385/3000:  46%|████▌     | 1385/3000 [10:16<11:54,  2.26it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.27e+6]Epoch 1386/3000:  46%|████▌     | 1385/3000 [10:16<11:54,  2.26it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.27e+6]Epoch 1386/3000:  46%|████▌     | 1386/3000 [10:16<13:08,  2.05it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.27e+6]Epoch 1386/3000:  46%|████▌     | 1386/3000 [10:16<13:08,  2.05it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.27e+6]Epoch 1387/3000:  46%|████▌     | 1386/3000 [10:16<13:08,  2.05it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.27e+6]Epoch 1387/3000:  46%|████▌     | 1387/3000 [10:17<12:09,  2.21it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.27e+6]Epoch 1387/3000:  46%|████▌     | 1387/3000 [10:17<12:09,  2.21it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1388/3000:  46%|████▌     | 1387/3000 [10:17<12:09,  2.21it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1388/3000:  46%|████▋     | 1388/3000 [10:17<09:34,  2.81it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1388/3000:  46%|████▋     | 1388/3000 [10:17<09:34,  2.81it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1389/3000:  46%|████▋     | 1388/3000 [10:17<09:34,  2.81it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1389/3000:  46%|████▋     | 1389/3000 [10:17<09:42,  2.77it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1389/3000:  46%|████▋     | 1389/3000 [10:17<09:42,  2.77it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.27e+6]Epoch 1390/3000:  46%|████▋     | 1389/3000 [10:17<09:42,  2.77it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.27e+6]Epoch 1390/3000:  46%|████▋     | 1390/3000 [10:18<11:33,  2.32it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.27e+6]Epoch 1390/3000:  46%|████▋     | 1390/3000 [10:18<11:33,  2.32it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1391/3000:  46%|████▋     | 1390/3000 [10:18<11:33,  2.32it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1391/3000:  46%|████▋     | 1391/3000 [10:18<12:15,  2.19it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1391/3000:  46%|████▋     | 1391/3000 [10:18<12:15,  2.19it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.27e+6] Epoch 1392/3000:  46%|████▋     | 1391/3000 [10:18<12:15,  2.19it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.27e+6]Epoch 1392/3000:  46%|████▋     | 1392/3000 [10:19<12:58,  2.07it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.27e+6]Epoch 1392/3000:  46%|████▋     | 1392/3000 [10:19<12:58,  2.07it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1393/3000:  46%|████▋     | 1392/3000 [10:19<12:58,  2.07it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1393/3000:  46%|████▋     | 1393/3000 [10:19<11:59,  2.23it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.27e+6]Epoch 1393/3000:  46%|████▋     | 1393/3000 [10:19<11:59,  2.23it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.27e+6]Epoch 1394/3000:  46%|████▋     | 1393/3000 [10:19<11:59,  2.23it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.27e+6]Epoch 1394/3000:  46%|████▋     | 1394/3000 [10:20<11:02,  2.42it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.27e+6]Epoch 1394/3000:  46%|████▋     | 1394/3000 [10:20<11:02,  2.42it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.27e+6]Epoch 1395/3000:  46%|████▋     | 1394/3000 [10:20<11:02,  2.42it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.27e+6]Epoch 1395/3000:  46%|████▋     | 1395/3000 [10:20<12:43,  2.10it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.27e+6]Epoch 1395/3000:  46%|████▋     | 1395/3000 [10:20<12:43,  2.10it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.27e+6]Epoch 1396/3000:  46%|████▋     | 1395/3000 [10:20<12:43,  2.10it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.27e+6]Epoch 1396/3000:  47%|████▋     | 1396/3000 [10:21<13:33,  1.97it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.27e+6]Epoch 1396/3000:  47%|████▋     | 1396/3000 [10:21<13:33,  1.97it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.26e+6]Epoch 1397/3000:  47%|████▋     | 1396/3000 [10:21<13:33,  1.97it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.26e+6]Epoch 1397/3000:  47%|████▋     | 1397/3000 [10:21<13:59,  1.91it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.26e+6]Epoch 1397/3000:  47%|████▋     | 1397/3000 [10:21<13:59,  1.91it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1398/3000:  47%|████▋     | 1397/3000 [10:21<13:59,  1.91it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1398/3000:  47%|████▋     | 1398/3000 [10:22<14:24,  1.85it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1398/3000:  47%|████▋     | 1398/3000 [10:22<14:24,  1.85it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.26e+6]Epoch 1399/3000:  47%|████▋     | 1398/3000 [10:22<14:24,  1.85it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.26e+6]Epoch 1399/3000:  47%|████▋     | 1399/3000 [10:23<14:24,  1.85it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.26e+6]Epoch 1399/3000:  47%|████▋     | 1399/3000 [10:23<14:24,  1.85it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1400/3000:  47%|████▋     | 1399/3000 [10:23<14:24,  1.85it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1400/3000:  47%|████▋     | 1400/3000 [10:23<13:22,  1.99it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1400/3000:  47%|████▋     | 1400/3000 [10:23<13:22,  1.99it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1401/3000:  47%|████▋     | 1400/3000 [10:23<13:22,  1.99it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1401/3000:  47%|████▋     | 1401/3000 [10:23<13:33,  1.97it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1401/3000:  47%|████▋     | 1401/3000 [10:23<13:33,  1.97it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1402/3000:  47%|████▋     | 1401/3000 [10:24<13:33,  1.97it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1402/3000:  47%|████▋     | 1402/3000 [10:24<13:06,  2.03it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1402/3000:  47%|████▋     | 1402/3000 [10:24<13:06,  2.03it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1403/3000:  47%|████▋     | 1402/3000 [10:24<13:06,  2.03it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1403/3000:  47%|████▋     | 1403/3000 [10:24<13:06,  2.03it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1403/3000:  47%|████▋     | 1403/3000 [10:24<13:06,  2.03it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1404/3000:  47%|████▋     | 1403/3000 [10:24<13:06,  2.03it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1404/3000:  47%|████▋     | 1404/3000 [10:25<13:34,  1.96it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1404/3000:  47%|████▋     | 1404/3000 [10:25<13:34,  1.96it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.26e+6]Epoch 1405/3000:  47%|████▋     | 1404/3000 [10:25<13:34,  1.96it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.26e+6]Epoch 1405/3000:  47%|████▋     | 1405/3000 [10:25<12:59,  2.05it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.26e+6]Epoch 1405/3000:  47%|████▋     | 1405/3000 [10:25<12:59,  2.05it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.26e+6]Epoch 1406/3000:  47%|████▋     | 1405/3000 [10:25<12:59,  2.05it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.26e+6]Epoch 1406/3000:  47%|████▋     | 1406/3000 [10:26<12:30,  2.12it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.26e+6]Epoch 1406/3000:  47%|████▋     | 1406/3000 [10:26<12:30,  2.12it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1407/3000:  47%|████▋     | 1406/3000 [10:26<12:30,  2.12it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1407/3000:  47%|████▋     | 1407/3000 [10:26<12:01,  2.21it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1407/3000:  47%|████▋     | 1407/3000 [10:26<12:01,  2.21it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1408/3000:  47%|████▋     | 1407/3000 [10:26<12:01,  2.21it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1408/3000:  47%|████▋     | 1408/3000 [10:27<13:23,  1.98it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1408/3000:  47%|████▋     | 1408/3000 [10:27<13:23,  1.98it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.26e+6]Epoch 1409/3000:  47%|████▋     | 1408/3000 [10:27<13:23,  1.98it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.26e+6]Epoch 1409/3000:  47%|████▋     | 1409/3000 [10:27<13:00,  2.04it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.26e+6]Epoch 1409/3000:  47%|████▋     | 1409/3000 [10:27<13:00,  2.04it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1410/3000:  47%|████▋     | 1409/3000 [10:27<13:00,  2.04it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1410/3000:  47%|████▋     | 1410/3000 [10:28<13:03,  2.03it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1410/3000:  47%|████▋     | 1410/3000 [10:28<13:03,  2.03it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1411/3000:  47%|████▋     | 1410/3000 [10:28<13:03,  2.03it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1411/3000:  47%|████▋     | 1411/3000 [10:28<12:38,  2.10it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1411/3000:  47%|████▋     | 1411/3000 [10:28<12:38,  2.10it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1412/3000:  47%|████▋     | 1411/3000 [10:28<12:38,  2.10it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1412/3000:  47%|████▋     | 1412/3000 [10:29<13:34,  1.95it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1412/3000:  47%|████▋     | 1412/3000 [10:29<13:34,  1.95it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.26e+6]Epoch 1413/3000:  47%|████▋     | 1412/3000 [10:29<13:34,  1.95it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.26e+6]Epoch 1413/3000:  47%|████▋     | 1413/3000 [10:29<14:21,  1.84it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.26e+6]Epoch 1413/3000:  47%|████▋     | 1413/3000 [10:30<14:21,  1.84it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1414/3000:  47%|████▋     | 1413/3000 [10:30<14:21,  1.84it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1414/3000:  47%|████▋     | 1414/3000 [10:30<14:34,  1.81it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.26e+6]Epoch 1414/3000:  47%|████▋     | 1414/3000 [10:30<14:34,  1.81it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.26e+6]Epoch 1415/3000:  47%|████▋     | 1414/3000 [10:30<14:34,  1.81it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.26e+6]Epoch 1415/3000:  47%|████▋     | 1415/3000 [10:30<13:31,  1.95it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.26e+6]Epoch 1415/3000:  47%|████▋     | 1415/3000 [10:30<13:31,  1.95it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1416/3000:  47%|████▋     | 1415/3000 [10:30<13:31,  1.95it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1416/3000:  47%|████▋     | 1416/3000 [10:31<12:16,  2.15it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1416/3000:  47%|████▋     | 1416/3000 [10:31<12:16,  2.15it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.26e+6] Epoch 1417/3000:  47%|████▋     | 1416/3000 [10:31<12:16,  2.15it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.26e+6]Epoch 1417/3000:  47%|████▋     | 1417/3000 [10:31<11:09,  2.36it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.26e+6]Epoch 1417/3000:  47%|████▋     | 1417/3000 [10:31<11:09,  2.36it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.26e+6]Epoch 1418/3000:  47%|████▋     | 1417/3000 [10:31<11:09,  2.36it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.26e+6]Epoch 1418/3000:  47%|████▋     | 1418/3000 [10:32<11:43,  2.25it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.26e+6]Epoch 1418/3000:  47%|████▋     | 1418/3000 [10:32<11:43,  2.25it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.26e+6]Epoch 1419/3000:  47%|████▋     | 1418/3000 [10:32<11:43,  2.25it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.26e+6]Epoch 1419/3000:  47%|████▋     | 1419/3000 [10:32<11:27,  2.30it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.26e+6]Epoch 1419/3000:  47%|████▋     | 1419/3000 [10:32<11:27,  2.30it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.26e+6] Epoch 1420/3000:  47%|████▋     | 1419/3000 [10:32<11:27,  2.30it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.26e+6]Epoch 1420/3000:  47%|████▋     | 1420/3000 [10:33<13:06,  2.01it/s, v_num=1, train_loss_step=1.3e+6, train_loss_epoch=1.26e+6]Epoch 1420/3000:  47%|████▋     | 1420/3000 [10:33<13:06,  2.01it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1421/3000:  47%|████▋     | 1420/3000 [10:33<13:06,  2.01it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1421/3000:  47%|████▋     | 1421/3000 [10:33<13:42,  1.92it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1421/3000:  47%|████▋     | 1421/3000 [10:33<13:42,  1.92it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1422/3000:  47%|████▋     | 1421/3000 [10:33<13:42,  1.92it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1422/3000:  47%|████▋     | 1422/3000 [10:34<12:29,  2.11it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.26e+6]Epoch 1422/3000:  47%|████▋     | 1422/3000 [10:34<12:29,  2.11it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1423/3000:  47%|████▋     | 1422/3000 [10:34<12:29,  2.11it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1423/3000:  47%|████▋     | 1423/3000 [10:34<13:15,  1.98it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1423/3000:  47%|████▋     | 1423/3000 [10:34<13:15,  1.98it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1424/3000:  47%|████▋     | 1423/3000 [10:34<13:15,  1.98it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1424/3000:  47%|████▋     | 1424/3000 [10:35<12:54,  2.03it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1424/3000:  47%|████▋     | 1424/3000 [10:35<12:54,  2.03it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.25e+6]Epoch 1425/3000:  47%|████▋     | 1424/3000 [10:35<12:54,  2.03it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.25e+6]Epoch 1425/3000:  48%|████▊     | 1425/3000 [10:35<13:20,  1.97it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.25e+6]Epoch 1425/3000:  48%|████▊     | 1425/3000 [10:35<13:20,  1.97it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.25e+6]Epoch 1426/3000:  48%|████▊     | 1425/3000 [10:35<13:20,  1.97it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.25e+6]Epoch 1426/3000:  48%|████▊     | 1426/3000 [10:36<13:00,  2.02it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.25e+6]Epoch 1426/3000:  48%|████▊     | 1426/3000 [10:36<13:00,  2.02it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1427/3000:  48%|████▊     | 1426/3000 [10:36<13:00,  2.02it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1427/3000:  48%|████▊     | 1427/3000 [10:36<11:59,  2.19it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1427/3000:  48%|████▊     | 1427/3000 [10:36<11:59,  2.19it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1428/3000:  48%|████▊     | 1427/3000 [10:36<11:59,  2.19it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1428/3000:  48%|████▊     | 1428/3000 [10:36<11:30,  2.28it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1428/3000:  48%|████▊     | 1428/3000 [10:36<11:30,  2.28it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1429/3000:  48%|████▊     | 1428/3000 [10:36<11:30,  2.28it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1429/3000:  48%|████▊     | 1429/3000 [10:37<12:56,  2.02it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1429/3000:  48%|████▊     | 1429/3000 [10:37<12:56,  2.02it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1430/3000:  48%|████▊     | 1429/3000 [10:37<12:56,  2.02it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1430/3000:  48%|████▊     | 1430/3000 [10:38<12:22,  2.12it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1430/3000:  48%|████▊     | 1430/3000 [10:38<12:22,  2.12it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1431/3000:  48%|████▊     | 1430/3000 [10:38<12:22,  2.12it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1431/3000:  48%|████▊     | 1431/3000 [10:38<12:42,  2.06it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1431/3000:  48%|████▊     | 1431/3000 [10:38<12:42,  2.06it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.25e+6]Epoch 1432/3000:  48%|████▊     | 1431/3000 [10:38<12:42,  2.06it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.25e+6]Epoch 1432/3000:  48%|████▊     | 1432/3000 [10:38<12:26,  2.10it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.25e+6]Epoch 1432/3000:  48%|████▊     | 1432/3000 [10:38<12:26,  2.10it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1433/3000:  48%|████▊     | 1432/3000 [10:38<12:26,  2.10it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1433/3000:  48%|████▊     | 1433/3000 [10:39<11:56,  2.19it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1433/3000:  48%|████▊     | 1433/3000 [10:39<11:56,  2.19it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.25e+6]Epoch 1434/3000:  48%|████▊     | 1433/3000 [10:39<11:56,  2.19it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.25e+6]Epoch 1434/3000:  48%|████▊     | 1434/3000 [10:39<11:21,  2.30it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.25e+6]Epoch 1434/3000:  48%|████▊     | 1434/3000 [10:39<11:21,  2.30it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.25e+6] Epoch 1435/3000:  48%|████▊     | 1434/3000 [10:39<11:21,  2.30it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.25e+6]Epoch 1435/3000:  48%|████▊     | 1435/3000 [10:40<11:07,  2.34it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.25e+6]Epoch 1435/3000:  48%|████▊     | 1435/3000 [10:40<11:07,  2.34it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1436/3000:  48%|████▊     | 1435/3000 [10:40<11:07,  2.34it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1436/3000:  48%|████▊     | 1436/3000 [10:40<11:22,  2.29it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1436/3000:  48%|████▊     | 1436/3000 [10:40<11:22,  2.29it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1437/3000:  48%|████▊     | 1436/3000 [10:40<11:22,  2.29it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1437/3000:  48%|████▊     | 1437/3000 [10:41<11:15,  2.31it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1437/3000:  48%|████▊     | 1437/3000 [10:41<11:15,  2.31it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1438/3000:  48%|████▊     | 1437/3000 [10:41<11:15,  2.31it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1438/3000:  48%|████▊     | 1438/3000 [10:41<11:57,  2.18it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1438/3000:  48%|████▊     | 1438/3000 [10:41<11:57,  2.18it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1439/3000:  48%|████▊     | 1438/3000 [10:41<11:57,  2.18it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1439/3000:  48%|████▊     | 1439/3000 [10:42<11:43,  2.22it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1439/3000:  48%|████▊     | 1439/3000 [10:42<11:43,  2.22it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1440/3000:  48%|████▊     | 1439/3000 [10:42<11:43,  2.22it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1440/3000:  48%|████▊     | 1440/3000 [10:42<10:30,  2.47it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1440/3000:  48%|████▊     | 1440/3000 [10:42<10:30,  2.47it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.25e+6]Epoch 1441/3000:  48%|████▊     | 1440/3000 [10:42<10:30,  2.47it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.25e+6]Epoch 1441/3000:  48%|████▊     | 1441/3000 [10:42<11:00,  2.36it/s, v_num=1, train_loss_step=1.29e+6, train_loss_epoch=1.25e+6]Epoch 1441/3000:  48%|████▊     | 1441/3000 [10:42<11:00,  2.36it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1442/3000:  48%|████▊     | 1441/3000 [10:42<11:00,  2.36it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1442/3000:  48%|████▊     | 1442/3000 [10:43<12:29,  2.08it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.25e+6]Epoch 1442/3000:  48%|████▊     | 1442/3000 [10:43<12:29,  2.08it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1443/3000:  48%|████▊     | 1442/3000 [10:43<12:29,  2.08it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1443/3000:  48%|████▊     | 1443/3000 [10:43<12:46,  2.03it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1443/3000:  48%|████▊     | 1443/3000 [10:43<12:46,  2.03it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.25e+6]Epoch 1444/3000:  48%|████▊     | 1443/3000 [10:43<12:46,  2.03it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.25e+6]Epoch 1444/3000:  48%|████▊     | 1444/3000 [10:44<12:48,  2.03it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.25e+6]Epoch 1444/3000:  48%|████▊     | 1444/3000 [10:44<12:48,  2.03it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.25e+6]Epoch 1445/3000:  48%|████▊     | 1444/3000 [10:44<12:48,  2.03it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.25e+6]Epoch 1445/3000:  48%|████▊     | 1445/3000 [10:45<13:59,  1.85it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.25e+6]Epoch 1445/3000:  48%|████▊     | 1445/3000 [10:45<13:59,  1.85it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1446/3000:  48%|████▊     | 1445/3000 [10:45<13:59,  1.85it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1446/3000:  48%|████▊     | 1446/3000 [10:45<13:41,  1.89it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1446/3000:  48%|████▊     | 1446/3000 [10:45<13:41,  1.89it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.25e+6]Epoch 1447/3000:  48%|████▊     | 1446/3000 [10:45<13:41,  1.89it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.25e+6]Epoch 1447/3000:  48%|████▊     | 1447/3000 [10:46<12:59,  1.99it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.25e+6]Epoch 1447/3000:  48%|████▊     | 1447/3000 [10:46<12:59,  1.99it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1448/3000:  48%|████▊     | 1447/3000 [10:46<12:59,  1.99it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1448/3000:  48%|████▊     | 1448/3000 [10:46<11:45,  2.20it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.25e+6]Epoch 1448/3000:  48%|████▊     | 1448/3000 [10:46<11:45,  2.20it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.25e+6]Epoch 1449/3000:  48%|████▊     | 1448/3000 [10:46<11:45,  2.20it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.25e+6]Epoch 1449/3000:  48%|████▊     | 1449/3000 [10:46<13:05,  1.98it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.25e+6]Epoch 1449/3000:  48%|████▊     | 1449/3000 [10:46<13:05,  1.98it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1450/3000:  48%|████▊     | 1449/3000 [10:47<13:05,  1.98it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1450/3000:  48%|████▊     | 1450/3000 [10:47<12:11,  2.12it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.25e+6]Epoch 1450/3000:  48%|████▊     | 1450/3000 [10:47<12:11,  2.12it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.24e+6]Epoch 1451/3000:  48%|████▊     | 1450/3000 [10:47<12:11,  2.12it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.24e+6]Epoch 1451/3000:  48%|████▊     | 1451/3000 [10:47<11:32,  2.24it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.24e+6]Epoch 1451/3000:  48%|████▊     | 1451/3000 [10:47<11:32,  2.24it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1452/3000:  48%|████▊     | 1451/3000 [10:47<11:32,  2.24it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1452/3000:  48%|████▊     | 1452/3000 [10:48<10:31,  2.45it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1452/3000:  48%|████▊     | 1452/3000 [10:48<10:31,  2.45it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1453/3000:  48%|████▊     | 1452/3000 [10:48<10:31,  2.45it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1453/3000:  48%|████▊     | 1453/3000 [10:48<11:24,  2.26it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1453/3000:  48%|████▊     | 1453/3000 [10:48<11:24,  2.26it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1454/3000:  48%|████▊     | 1453/3000 [10:48<11:24,  2.26it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1454/3000:  48%|████▊     | 1454/3000 [10:48<10:56,  2.36it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1454/3000:  48%|████▊     | 1454/3000 [10:48<10:56,  2.36it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1455/3000:  48%|████▊     | 1454/3000 [10:49<10:56,  2.36it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1455/3000:  48%|████▊     | 1455/3000 [10:49<09:39,  2.67it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1455/3000:  48%|████▊     | 1455/3000 [10:49<09:39,  2.67it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1456/3000:  48%|████▊     | 1455/3000 [10:49<09:39,  2.67it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1456/3000:  49%|████▊     | 1456/3000 [10:49<10:10,  2.53it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1456/3000:  49%|████▊     | 1456/3000 [10:49<10:10,  2.53it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.24e+6]Epoch 1457/3000:  49%|████▊     | 1456/3000 [10:49<10:10,  2.53it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.24e+6]Epoch 1457/3000:  49%|████▊     | 1457/3000 [10:49<09:29,  2.71it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.24e+6]Epoch 1457/3000:  49%|████▊     | 1457/3000 [10:50<09:29,  2.71it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.24e+6]Epoch 1458/3000:  49%|████▊     | 1457/3000 [10:50<09:29,  2.71it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.24e+6]Epoch 1458/3000:  49%|████▊     | 1458/3000 [10:50<10:22,  2.48it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.24e+6]Epoch 1458/3000:  49%|████▊     | 1458/3000 [10:50<10:22,  2.48it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1459/3000:  49%|████▊     | 1458/3000 [10:50<10:22,  2.48it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1459/3000:  49%|████▊     | 1459/3000 [10:51<11:15,  2.28it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1459/3000:  49%|████▊     | 1459/3000 [10:51<11:15,  2.28it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1460/3000:  49%|████▊     | 1459/3000 [10:51<11:15,  2.28it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1460/3000:  49%|████▊     | 1460/3000 [10:51<12:02,  2.13it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1460/3000:  49%|████▊     | 1460/3000 [10:51<12:02,  2.13it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.24e+6]Epoch 1461/3000:  49%|████▊     | 1460/3000 [10:51<12:02,  2.13it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.24e+6]Epoch 1461/3000:  49%|████▊     | 1461/3000 [10:51<11:26,  2.24it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.24e+6]Epoch 1461/3000:  49%|████▊     | 1461/3000 [10:51<11:26,  2.24it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1462/3000:  49%|████▊     | 1461/3000 [10:51<11:26,  2.24it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1462/3000:  49%|████▊     | 1462/3000 [10:52<11:04,  2.31it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1462/3000:  49%|████▊     | 1462/3000 [10:52<11:04,  2.31it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.24e+6]Epoch 1463/3000:  49%|████▊     | 1462/3000 [10:52<11:04,  2.31it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.24e+6]Epoch 1463/3000:  49%|████▉     | 1463/3000 [10:52<11:53,  2.15it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.24e+6]Epoch 1463/3000:  49%|████▉     | 1463/3000 [10:52<11:53,  2.15it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.24e+6]Epoch 1464/3000:  49%|████▉     | 1463/3000 [10:52<11:53,  2.15it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.24e+6]Epoch 1464/3000:  49%|████▉     | 1464/3000 [10:53<10:51,  2.36it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.24e+6]Epoch 1464/3000:  49%|████▉     | 1464/3000 [10:53<10:51,  2.36it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.24e+6]Epoch 1465/3000:  49%|████▉     | 1464/3000 [10:53<10:51,  2.36it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.24e+6]Epoch 1465/3000:  49%|████▉     | 1465/3000 [10:53<10:28,  2.44it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.24e+6]Epoch 1465/3000:  49%|████▉     | 1465/3000 [10:53<10:28,  2.44it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.24e+6]Epoch 1466/3000:  49%|████▉     | 1465/3000 [10:53<10:28,  2.44it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.24e+6]Epoch 1466/3000:  49%|████▉     | 1466/3000 [10:54<12:12,  2.09it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.24e+6]Epoch 1466/3000:  49%|████▉     | 1466/3000 [10:54<12:12,  2.09it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1467/3000:  49%|████▉     | 1466/3000 [10:54<12:12,  2.09it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1467/3000:  49%|████▉     | 1467/3000 [10:54<12:27,  2.05it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1467/3000:  49%|████▉     | 1467/3000 [10:54<12:27,  2.05it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.24e+6]Epoch 1468/3000:  49%|████▉     | 1467/3000 [10:54<12:27,  2.05it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.24e+6]Epoch 1468/3000:  49%|████▉     | 1468/3000 [10:55<13:42,  1.86it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.24e+6]Epoch 1468/3000:  49%|████▉     | 1468/3000 [10:55<13:42,  1.86it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.24e+6]Epoch 1469/3000:  49%|████▉     | 1468/3000 [10:55<13:42,  1.86it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.24e+6]Epoch 1469/3000:  49%|████▉     | 1469/3000 [10:55<13:56,  1.83it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.24e+6]Epoch 1469/3000:  49%|████▉     | 1469/3000 [10:55<13:56,  1.83it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.24e+6]Epoch 1470/3000:  49%|████▉     | 1469/3000 [10:55<13:56,  1.83it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.24e+6]Epoch 1470/3000:  49%|████▉     | 1470/3000 [10:56<13:25,  1.90it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.24e+6]Epoch 1470/3000:  49%|████▉     | 1470/3000 [10:56<13:25,  1.90it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1471/3000:  49%|████▉     | 1470/3000 [10:56<13:25,  1.90it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1471/3000:  49%|████▉     | 1471/3000 [10:56<13:00,  1.96it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1471/3000:  49%|████▉     | 1471/3000 [10:56<13:00,  1.96it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1472/3000:  49%|████▉     | 1471/3000 [10:56<13:00,  1.96it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1472/3000:  49%|████▉     | 1472/3000 [10:57<12:35,  2.02it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1472/3000:  49%|████▉     | 1472/3000 [10:57<12:35,  2.02it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1473/3000:  49%|████▉     | 1472/3000 [10:57<12:35,  2.02it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1473/3000:  49%|████▉     | 1473/3000 [10:57<12:16,  2.07it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1473/3000:  49%|████▉     | 1473/3000 [10:57<12:16,  2.07it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.24e+6]Epoch 1474/3000:  49%|████▉     | 1473/3000 [10:57<12:16,  2.07it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.24e+6]Epoch 1474/3000:  49%|████▉     | 1474/3000 [10:58<13:06,  1.94it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.24e+6]Epoch 1474/3000:  49%|████▉     | 1474/3000 [10:58<13:06,  1.94it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1475/3000:  49%|████▉     | 1474/3000 [10:58<13:06,  1.94it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1475/3000:  49%|████▉     | 1475/3000 [10:58<12:30,  2.03it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.24e+6]Epoch 1475/3000:  49%|████▉     | 1475/3000 [10:58<12:30,  2.03it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.24e+6]Epoch 1476/3000:  49%|████▉     | 1475/3000 [10:58<12:30,  2.03it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.24e+6]Epoch 1476/3000:  49%|████▉     | 1476/3000 [10:59<13:05,  1.94it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.24e+6]Epoch 1476/3000:  49%|████▉     | 1476/3000 [10:59<13:05,  1.94it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.24e+6]Epoch 1477/3000:  49%|████▉     | 1476/3000 [10:59<13:05,  1.94it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.24e+6]Epoch 1477/3000:  49%|████▉     | 1477/3000 [10:59<12:18,  2.06it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.24e+6]Epoch 1477/3000:  49%|████▉     | 1477/3000 [10:59<12:18,  2.06it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.24e+6]Epoch 1478/3000:  49%|████▉     | 1477/3000 [10:59<12:18,  2.06it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.24e+6]Epoch 1478/3000:  49%|████▉     | 1478/3000 [11:00<11:08,  2.28it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.24e+6]Epoch 1478/3000:  49%|████▉     | 1478/3000 [11:00<11:08,  2.28it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.24e+6]Epoch 1479/3000:  49%|████▉     | 1478/3000 [11:00<11:08,  2.28it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.24e+6]Epoch 1479/3000:  49%|████▉     | 1479/3000 [11:00<11:35,  2.19it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.24e+6]Epoch 1479/3000:  49%|████▉     | 1479/3000 [11:00<11:35,  2.19it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1480/3000:  49%|████▉     | 1479/3000 [11:00<11:35,  2.19it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1480/3000:  49%|████▉     | 1480/3000 [11:01<11:25,  2.22it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1480/3000:  49%|████▉     | 1480/3000 [11:01<11:25,  2.22it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1481/3000:  49%|████▉     | 1480/3000 [11:01<11:25,  2.22it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1481/3000:  49%|████▉     | 1481/3000 [11:01<11:56,  2.12it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1481/3000:  49%|████▉     | 1481/3000 [11:01<11:56,  2.12it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1482/3000:  49%|████▉     | 1481/3000 [11:01<11:56,  2.12it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1482/3000:  49%|████▉     | 1482/3000 [11:02<11:25,  2.21it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1482/3000:  49%|████▉     | 1482/3000 [11:02<11:25,  2.21it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1483/3000:  49%|████▉     | 1482/3000 [11:02<11:25,  2.21it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1483/3000:  49%|████▉     | 1483/3000 [11:02<11:28,  2.20it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1483/3000:  49%|████▉     | 1483/3000 [11:02<11:28,  2.20it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1484/3000:  49%|████▉     | 1483/3000 [11:02<11:28,  2.20it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1484/3000:  49%|████▉     | 1484/3000 [11:02<10:30,  2.40it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1484/3000:  49%|████▉     | 1484/3000 [11:02<10:30,  2.40it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.23e+6]Epoch 1485/3000:  49%|████▉     | 1484/3000 [11:02<10:30,  2.40it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.23e+6]Epoch 1485/3000:  50%|████▉     | 1485/3000 [11:03<10:48,  2.34it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.23e+6]Epoch 1485/3000:  50%|████▉     | 1485/3000 [11:03<10:48,  2.34it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1486/3000:  50%|████▉     | 1485/3000 [11:03<10:48,  2.34it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1486/3000:  50%|████▉     | 1486/3000 [11:03<11:23,  2.21it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1486/3000:  50%|████▉     | 1486/3000 [11:03<11:23,  2.21it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1487/3000:  50%|████▉     | 1486/3000 [11:03<11:23,  2.21it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1487/3000:  50%|████▉     | 1487/3000 [11:04<11:16,  2.24it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1487/3000:  50%|████▉     | 1487/3000 [11:04<11:16,  2.24it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1488/3000:  50%|████▉     | 1487/3000 [11:04<11:16,  2.24it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1488/3000:  50%|████▉     | 1488/3000 [11:04<12:06,  2.08it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1488/3000:  50%|████▉     | 1488/3000 [11:04<12:06,  2.08it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1489/3000:  50%|████▉     | 1488/3000 [11:04<12:06,  2.08it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1489/3000:  50%|████▉     | 1489/3000 [11:05<11:19,  2.23it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1489/3000:  50%|████▉     | 1489/3000 [11:05<11:19,  2.23it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1490/3000:  50%|████▉     | 1489/3000 [11:05<11:19,  2.23it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1490/3000:  50%|████▉     | 1490/3000 [11:05<11:54,  2.11it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1490/3000:  50%|████▉     | 1490/3000 [11:05<11:54,  2.11it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.23e+6]Epoch 1491/3000:  50%|████▉     | 1490/3000 [11:05<11:54,  2.11it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.23e+6]Epoch 1491/3000:  50%|████▉     | 1491/3000 [11:06<11:43,  2.14it/s, v_num=1, train_loss_step=1.27e+6, train_loss_epoch=1.23e+6]Epoch 1491/3000:  50%|████▉     | 1491/3000 [11:06<11:43,  2.14it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1492/3000:  50%|████▉     | 1491/3000 [11:06<11:43,  2.14it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1492/3000:  50%|████▉     | 1492/3000 [11:06<11:00,  2.28it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1492/3000:  50%|████▉     | 1492/3000 [11:06<11:00,  2.28it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1493/3000:  50%|████▉     | 1492/3000 [11:06<11:00,  2.28it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1493/3000:  50%|████▉     | 1493/3000 [11:06<10:37,  2.36it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1493/3000:  50%|████▉     | 1493/3000 [11:06<10:37,  2.36it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.23e+6] Epoch 1494/3000:  50%|████▉     | 1493/3000 [11:06<10:37,  2.36it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.23e+6]Epoch 1494/3000:  50%|████▉     | 1494/3000 [11:07<11:58,  2.09it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.23e+6]Epoch 1494/3000:  50%|████▉     | 1494/3000 [11:07<11:58,  2.09it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.23e+6]Epoch 1495/3000:  50%|████▉     | 1494/3000 [11:07<11:58,  2.09it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.23e+6]Epoch 1495/3000:  50%|████▉     | 1495/3000 [11:08<13:06,  1.91it/s, v_num=1, train_loss_step=1.26e+6, train_loss_epoch=1.23e+6]Epoch 1495/3000:  50%|████▉     | 1495/3000 [11:08<13:06,  1.91it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.23e+6]Epoch 1496/3000:  50%|████▉     | 1495/3000 [11:08<13:06,  1.91it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.23e+6]Epoch 1496/3000:  50%|████▉     | 1496/3000 [11:08<13:30,  1.86it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.23e+6]Epoch 1496/3000:  50%|████▉     | 1496/3000 [11:08<13:30,  1.86it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1497/3000:  50%|████▉     | 1496/3000 [11:08<13:30,  1.86it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1497/3000:  50%|████▉     | 1497/3000 [11:09<14:00,  1.79it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1497/3000:  50%|████▉     | 1497/3000 [11:09<14:00,  1.79it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.23e+6]Epoch 1498/3000:  50%|████▉     | 1497/3000 [11:09<14:00,  1.79it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.23e+6]Epoch 1498/3000:  50%|████▉     | 1498/3000 [11:09<10:58,  2.28it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.23e+6]Epoch 1498/3000:  50%|████▉     | 1498/3000 [11:09<10:58,  2.28it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.23e+6]Epoch 1499/3000:  50%|████▉     | 1498/3000 [11:09<10:58,  2.28it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.23e+6]Epoch 1499/3000:  50%|████▉     | 1499/3000 [11:09<11:01,  2.27it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.23e+6]Epoch 1499/3000:  50%|████▉     | 1499/3000 [11:09<11:01,  2.27it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.23e+6]Epoch 1500/3000:  50%|████▉     | 1499/3000 [11:09<11:01,  2.27it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.23e+6]Epoch 1500/3000:  50%|█████     | 1500/3000 [11:10<11:33,  2.16it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.23e+6]Epoch 1500/3000:  50%|█████     | 1500/3000 [11:10<11:33,  2.16it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1501/3000:  50%|█████     | 1500/3000 [11:10<11:33,  2.16it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1501/3000:  50%|█████     | 1501/3000 [11:10<11:50,  2.11it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1501/3000:  50%|█████     | 1501/3000 [11:10<11:50,  2.11it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.23e+6]Epoch 1502/3000:  50%|█████     | 1501/3000 [11:10<11:50,  2.11it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.23e+6]Epoch 1502/3000:  50%|█████     | 1502/3000 [11:11<11:15,  2.22it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.23e+6]Epoch 1502/3000:  50%|█████     | 1502/3000 [11:11<11:15,  2.22it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.23e+6]Epoch 1503/3000:  50%|█████     | 1502/3000 [11:11<11:15,  2.22it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.23e+6]Epoch 1503/3000:  50%|█████     | 1503/3000 [11:11<11:19,  2.20it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.23e+6]Epoch 1503/3000:  50%|█████     | 1503/3000 [11:11<11:19,  2.20it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1504/3000:  50%|█████     | 1503/3000 [11:11<11:19,  2.20it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1504/3000:  50%|█████     | 1504/3000 [11:12<12:10,  2.05it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.23e+6]Epoch 1504/3000:  50%|█████     | 1504/3000 [11:12<12:10,  2.05it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1505/3000:  50%|█████     | 1504/3000 [11:12<12:10,  2.05it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1505/3000:  50%|█████     | 1505/3000 [11:12<12:43,  1.96it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1505/3000:  50%|█████     | 1505/3000 [11:12<12:43,  1.96it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1506/3000:  50%|█████     | 1505/3000 [11:12<12:43,  1.96it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1506/3000:  50%|█████     | 1506/3000 [11:13<11:04,  2.25it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1506/3000:  50%|█████     | 1506/3000 [11:13<11:04,  2.25it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1507/3000:  50%|█████     | 1506/3000 [11:13<11:04,  2.25it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1507/3000:  50%|█████     | 1507/3000 [11:13<10:06,  2.46it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.23e+6]Epoch 1507/3000:  50%|█████     | 1507/3000 [11:13<10:06,  2.46it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1508/3000:  50%|█████     | 1507/3000 [11:13<10:06,  2.46it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1508/3000:  50%|█████     | 1508/3000 [11:13<09:43,  2.56it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.23e+6]Epoch 1508/3000:  50%|█████     | 1508/3000 [11:13<09:43,  2.56it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.23e+6]Epoch 1509/3000:  50%|█████     | 1508/3000 [11:13<09:43,  2.56it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.23e+6]Epoch 1509/3000:  50%|█████     | 1509/3000 [11:14<10:22,  2.40it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.23e+6]Epoch 1509/3000:  50%|█████     | 1509/3000 [11:14<10:22,  2.40it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1510/3000:  50%|█████     | 1509/3000 [11:14<10:22,  2.40it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1510/3000:  50%|█████     | 1510/3000 [11:14<08:28,  2.93it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1510/3000:  50%|█████     | 1510/3000 [11:14<08:28,  2.93it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1511/3000:  50%|█████     | 1510/3000 [11:14<08:28,  2.93it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1511/3000:  50%|█████     | 1511/3000 [11:14<06:47,  3.66it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1511/3000:  50%|█████     | 1511/3000 [11:14<06:47,  3.66it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.22e+6]Epoch 1512/3000:  50%|█████     | 1511/3000 [11:14<06:47,  3.66it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.22e+6]Epoch 1512/3000:  50%|█████     | 1512/3000 [11:14<05:57,  4.16it/s, v_num=1, train_loss_step=1.25e+6, train_loss_epoch=1.22e+6]Epoch 1512/3000:  50%|█████     | 1512/3000 [11:14<05:57,  4.16it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6] Epoch 1513/3000:  50%|█████     | 1512/3000 [11:14<05:57,  4.16it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1513/3000:  50%|█████     | 1513/3000 [11:14<05:57,  4.16it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1514/3000:  50%|█████     | 1513/3000 [11:14<05:57,  4.16it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1514/3000:  50%|█████     | 1514/3000 [11:14<04:11,  5.91it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1514/3000:  50%|█████     | 1514/3000 [11:14<04:11,  5.91it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1515/3000:  50%|█████     | 1514/3000 [11:14<04:11,  5.91it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1515/3000:  50%|█████     | 1515/3000 [11:15<04:11,  5.91it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.22e+6]Epoch 1516/3000:  50%|█████     | 1515/3000 [11:15<04:11,  5.91it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.22e+6]Epoch 1516/3000:  51%|█████     | 1516/3000 [11:15<03:20,  7.40it/s, v_num=1, train_loss_step=1.28e+6, train_loss_epoch=1.22e+6]Epoch 1516/3000:  51%|█████     | 1516/3000 [11:15<03:20,  7.40it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1517/3000:  51%|█████     | 1516/3000 [11:15<03:20,  7.40it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1517/3000:  51%|█████     | 1517/3000 [11:15<04:35,  5.37it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1517/3000:  51%|█████     | 1517/3000 [11:15<04:35,  5.37it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1518/3000:  51%|█████     | 1517/3000 [11:15<04:35,  5.37it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1518/3000:  51%|█████     | 1518/3000 [11:16<06:39,  3.71it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1518/3000:  51%|█████     | 1518/3000 [11:16<06:39,  3.71it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1519/3000:  51%|█████     | 1518/3000 [11:16<06:39,  3.71it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1519/3000:  51%|█████     | 1519/3000 [11:16<06:22,  3.88it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1519/3000:  51%|█████     | 1519/3000 [11:16<06:22,  3.88it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1520/3000:  51%|█████     | 1519/3000 [11:16<06:22,  3.88it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1520/3000:  51%|█████     | 1520/3000 [11:16<08:13,  3.00it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1520/3000:  51%|█████     | 1520/3000 [11:16<08:13,  3.00it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1521/3000:  51%|█████     | 1520/3000 [11:16<08:13,  3.00it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1521/3000:  51%|█████     | 1521/3000 [11:17<09:02,  2.73it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1521/3000:  51%|█████     | 1521/3000 [11:17<09:02,  2.73it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1522/3000:  51%|█████     | 1521/3000 [11:17<09:02,  2.73it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1522/3000:  51%|█████     | 1522/3000 [11:17<09:43,  2.53it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1522/3000:  51%|█████     | 1522/3000 [11:17<09:43,  2.53it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1523/3000:  51%|█████     | 1522/3000 [11:17<09:43,  2.53it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1523/3000:  51%|█████     | 1523/3000 [11:18<10:43,  2.30it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1523/3000:  51%|█████     | 1523/3000 [11:18<10:43,  2.30it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1524/3000:  51%|█████     | 1523/3000 [11:18<10:43,  2.30it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1524/3000:  51%|█████     | 1524/3000 [11:18<10:43,  2.29it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1524/3000:  51%|█████     | 1524/3000 [11:18<10:43,  2.29it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.22e+6]Epoch 1525/3000:  51%|█████     | 1524/3000 [11:18<10:43,  2.29it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.22e+6]Epoch 1525/3000:  51%|█████     | 1525/3000 [11:19<11:12,  2.19it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.22e+6]Epoch 1525/3000:  51%|█████     | 1525/3000 [11:19<11:12,  2.19it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.22e+6]Epoch 1526/3000:  51%|█████     | 1525/3000 [11:19<11:12,  2.19it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.22e+6]Epoch 1526/3000:  51%|█████     | 1526/3000 [11:19<11:32,  2.13it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.22e+6]Epoch 1526/3000:  51%|█████     | 1526/3000 [11:19<11:32,  2.13it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1527/3000:  51%|█████     | 1526/3000 [11:19<11:32,  2.13it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1527/3000:  51%|█████     | 1527/3000 [11:20<11:54,  2.06it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.22e+6]Epoch 1527/3000:  51%|█████     | 1527/3000 [11:20<11:54,  2.06it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1528/3000:  51%|█████     | 1527/3000 [11:20<11:54,  2.06it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1528/3000:  51%|█████     | 1528/3000 [11:20<11:50,  2.07it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1528/3000:  51%|█████     | 1528/3000 [11:20<11:50,  2.07it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.22e+6]Epoch 1529/3000:  51%|█████     | 1528/3000 [11:20<11:50,  2.07it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.22e+6]Epoch 1529/3000:  51%|█████     | 1529/3000 [11:21<11:28,  2.14it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.22e+6]Epoch 1529/3000:  51%|█████     | 1529/3000 [11:21<11:28,  2.14it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6] Epoch 1530/3000:  51%|█████     | 1529/3000 [11:21<11:28,  2.14it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1530/3000:  51%|█████     | 1530/3000 [11:21<12:23,  1.98it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1530/3000:  51%|█████     | 1530/3000 [11:21<12:23,  1.98it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1531/3000:  51%|█████     | 1530/3000 [11:21<12:23,  1.98it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1531/3000:  51%|█████     | 1531/3000 [11:22<11:39,  2.10it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1531/3000:  51%|█████     | 1531/3000 [11:22<11:39,  2.10it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1532/3000:  51%|█████     | 1531/3000 [11:22<11:39,  2.10it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1532/3000:  51%|█████     | 1532/3000 [11:22<11:54,  2.05it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1532/3000:  51%|█████     | 1532/3000 [11:22<11:54,  2.05it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1533/3000:  51%|█████     | 1532/3000 [11:22<11:54,  2.05it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1533/3000:  51%|█████     | 1533/3000 [11:23<12:47,  1.91it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1533/3000:  51%|█████     | 1533/3000 [11:23<12:47,  1.91it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1534/3000:  51%|█████     | 1533/3000 [11:23<12:47,  1.91it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1534/3000:  51%|█████     | 1534/3000 [11:23<11:58,  2.04it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1534/3000:  51%|█████     | 1534/3000 [11:23<11:58,  2.04it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6] Epoch 1535/3000:  51%|█████     | 1534/3000 [11:23<11:58,  2.04it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1535/3000:  51%|█████     | 1535/3000 [11:24<11:29,  2.12it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1535/3000:  51%|█████     | 1535/3000 [11:24<11:29,  2.12it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1536/3000:  51%|█████     | 1535/3000 [11:24<11:29,  2.12it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1536/3000:  51%|█████     | 1536/3000 [11:24<10:58,  2.22it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1536/3000:  51%|█████     | 1536/3000 [11:24<10:58,  2.22it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1537/3000:  51%|█████     | 1536/3000 [11:24<10:58,  2.22it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1537/3000:  51%|█████     | 1537/3000 [11:24<11:09,  2.19it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.22e+6]Epoch 1537/3000:  51%|█████     | 1537/3000 [11:24<11:09,  2.19it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1538/3000:  51%|█████     | 1537/3000 [11:24<11:09,  2.19it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1538/3000:  51%|█████▏    | 1538/3000 [11:25<11:50,  2.06it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.22e+6]Epoch 1538/3000:  51%|█████▏    | 1538/3000 [11:25<11:50,  2.06it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6] Epoch 1539/3000:  51%|█████▏    | 1538/3000 [11:25<11:50,  2.06it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1539/3000:  51%|█████▏    | 1539/3000 [11:25<11:13,  2.17it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1539/3000:  51%|█████▏    | 1539/3000 [11:25<11:13,  2.17it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1540/3000:  51%|█████▏    | 1539/3000 [11:25<11:13,  2.17it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1540/3000:  51%|█████▏    | 1540/3000 [11:26<12:23,  1.96it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.22e+6]Epoch 1540/3000:  51%|█████▏    | 1540/3000 [11:26<12:23,  1.96it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1541/3000:  51%|█████▏    | 1540/3000 [11:26<12:23,  1.96it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1541/3000:  51%|█████▏    | 1541/3000 [11:27<13:01,  1.87it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1541/3000:  51%|█████▏    | 1541/3000 [11:27<13:01,  1.87it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1542/3000:  51%|█████▏    | 1541/3000 [11:27<13:01,  1.87it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1542/3000:  51%|█████▏    | 1542/3000 [11:27<12:23,  1.96it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1542/3000:  51%|█████▏    | 1542/3000 [11:27<12:23,  1.96it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1543/3000:  51%|█████▏    | 1542/3000 [11:27<12:23,  1.96it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1543/3000:  51%|█████▏    | 1543/3000 [11:28<12:37,  1.92it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1543/3000:  51%|█████▏    | 1543/3000 [11:28<12:37,  1.92it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1544/3000:  51%|█████▏    | 1543/3000 [11:28<12:37,  1.92it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1544/3000:  51%|█████▏    | 1544/3000 [11:28<14:14,  1.70it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1544/3000:  51%|█████▏    | 1544/3000 [11:28<14:14,  1.70it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.21e+6]Epoch 1545/3000:  51%|█████▏    | 1544/3000 [11:28<14:14,  1.70it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.21e+6]Epoch 1545/3000:  52%|█████▏    | 1545/3000 [11:29<12:37,  1.92it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.21e+6]Epoch 1545/3000:  52%|█████▏    | 1545/3000 [11:29<12:37,  1.92it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1546/3000:  52%|█████▏    | 1545/3000 [11:29<12:37,  1.92it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1546/3000:  52%|█████▏    | 1546/3000 [11:29<11:49,  2.05it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1546/3000:  52%|█████▏    | 1546/3000 [11:29<11:49,  2.05it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1547/3000:  52%|█████▏    | 1546/3000 [11:29<11:49,  2.05it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1547/3000:  52%|█████▏    | 1547/3000 [11:29<10:03,  2.41it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1547/3000:  52%|█████▏    | 1547/3000 [11:29<10:03,  2.41it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1548/3000:  52%|█████▏    | 1547/3000 [11:29<10:03,  2.41it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1548/3000:  52%|█████▏    | 1548/3000 [11:30<10:10,  2.38it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1548/3000:  52%|█████▏    | 1548/3000 [11:30<10:10,  2.38it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1549/3000:  52%|█████▏    | 1548/3000 [11:30<10:10,  2.38it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1549/3000:  52%|█████▏    | 1549/3000 [11:30<09:26,  2.56it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1549/3000:  52%|█████▏    | 1549/3000 [11:30<09:26,  2.56it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.21e+6]Epoch 1550/3000:  52%|█████▏    | 1549/3000 [11:30<09:26,  2.56it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.21e+6]Epoch 1550/3000:  52%|█████▏    | 1550/3000 [11:31<10:09,  2.38it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.21e+6]Epoch 1550/3000:  52%|█████▏    | 1550/3000 [11:31<10:09,  2.38it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6] Epoch 1551/3000:  52%|█████▏    | 1550/3000 [11:31<10:09,  2.38it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6]Epoch 1551/3000:  52%|█████▏    | 1551/3000 [11:31<09:19,  2.59it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6]Epoch 1551/3000:  52%|█████▏    | 1551/3000 [11:31<09:19,  2.59it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.21e+6]Epoch 1552/3000:  52%|█████▏    | 1551/3000 [11:31<09:19,  2.59it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.21e+6]Epoch 1552/3000:  52%|█████▏    | 1552/3000 [11:31<09:55,  2.43it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.21e+6]Epoch 1552/3000:  52%|█████▏    | 1552/3000 [11:31<09:55,  2.43it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.21e+6]Epoch 1553/3000:  52%|█████▏    | 1552/3000 [11:31<09:55,  2.43it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.21e+6]Epoch 1553/3000:  52%|█████▏    | 1553/3000 [11:32<09:56,  2.43it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.21e+6]Epoch 1553/3000:  52%|█████▏    | 1553/3000 [11:32<09:56,  2.43it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.21e+6]Epoch 1554/3000:  52%|█████▏    | 1553/3000 [11:32<09:56,  2.43it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.21e+6]Epoch 1554/3000:  52%|█████▏    | 1554/3000 [11:32<09:18,  2.59it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.21e+6]Epoch 1554/3000:  52%|█████▏    | 1554/3000 [11:32<09:18,  2.59it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.21e+6]Epoch 1555/3000:  52%|█████▏    | 1554/3000 [11:32<09:18,  2.59it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.21e+6]Epoch 1555/3000:  52%|█████▏    | 1555/3000 [11:33<11:01,  2.19it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.21e+6]Epoch 1555/3000:  52%|█████▏    | 1555/3000 [11:33<11:01,  2.19it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6] Epoch 1556/3000:  52%|█████▏    | 1555/3000 [11:33<11:01,  2.19it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6]Epoch 1556/3000:  52%|█████▏    | 1556/3000 [11:33<12:56,  1.86it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6]Epoch 1556/3000:  52%|█████▏    | 1556/3000 [11:33<12:56,  1.86it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1557/3000:  52%|█████▏    | 1556/3000 [11:34<12:56,  1.86it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1557/3000:  52%|█████▏    | 1557/3000 [11:34<11:44,  2.05it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1557/3000:  52%|█████▏    | 1557/3000 [11:34<11:44,  2.05it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1558/3000:  52%|█████▏    | 1557/3000 [11:34<11:44,  2.05it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1558/3000:  52%|█████▏    | 1558/3000 [11:34<11:59,  2.00it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1558/3000:  52%|█████▏    | 1558/3000 [11:34<11:59,  2.00it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1559/3000:  52%|█████▏    | 1558/3000 [11:34<11:59,  2.00it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1559/3000:  52%|█████▏    | 1559/3000 [11:35<09:56,  2.41it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1559/3000:  52%|█████▏    | 1559/3000 [11:35<09:56,  2.41it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1560/3000:  52%|█████▏    | 1559/3000 [11:35<09:56,  2.41it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1560/3000:  52%|█████▏    | 1560/3000 [11:35<10:48,  2.22it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1560/3000:  52%|█████▏    | 1560/3000 [11:35<10:48,  2.22it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1561/3000:  52%|█████▏    | 1560/3000 [11:35<10:48,  2.22it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1561/3000:  52%|█████▏    | 1561/3000 [11:36<11:27,  2.09it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1561/3000:  52%|█████▏    | 1561/3000 [11:36<11:27,  2.09it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6] Epoch 1562/3000:  52%|█████▏    | 1561/3000 [11:36<11:27,  2.09it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6]Epoch 1562/3000:  52%|█████▏    | 1562/3000 [11:36<10:18,  2.32it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6]Epoch 1562/3000:  52%|█████▏    | 1562/3000 [11:36<10:18,  2.32it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1563/3000:  52%|█████▏    | 1562/3000 [11:36<10:18,  2.32it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1563/3000:  52%|█████▏    | 1563/3000 [11:36<09:46,  2.45it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1563/3000:  52%|█████▏    | 1563/3000 [11:36<09:46,  2.45it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1564/3000:  52%|█████▏    | 1563/3000 [11:36<09:46,  2.45it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1564/3000:  52%|█████▏    | 1564/3000 [11:37<09:15,  2.58it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1564/3000:  52%|█████▏    | 1564/3000 [11:37<09:15,  2.58it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.21e+6]Epoch 1565/3000:  52%|█████▏    | 1564/3000 [11:37<09:15,  2.58it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.21e+6]Epoch 1565/3000:  52%|█████▏    | 1565/3000 [11:37<10:12,  2.34it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.21e+6]Epoch 1565/3000:  52%|█████▏    | 1565/3000 [11:37<10:12,  2.34it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1566/3000:  52%|█████▏    | 1565/3000 [11:37<10:12,  2.34it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1566/3000:  52%|█████▏    | 1566/3000 [11:38<10:14,  2.33it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.21e+6]Epoch 1566/3000:  52%|█████▏    | 1566/3000 [11:38<10:14,  2.33it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1567/3000:  52%|█████▏    | 1566/3000 [11:38<10:14,  2.33it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1567/3000:  52%|█████▏    | 1567/3000 [11:38<10:59,  2.17it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.21e+6]Epoch 1567/3000:  52%|█████▏    | 1567/3000 [11:38<10:59,  2.17it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.21e+6]Epoch 1568/3000:  52%|█████▏    | 1567/3000 [11:38<10:59,  2.17it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.21e+6]Epoch 1568/3000:  52%|█████▏    | 1568/3000 [11:39<10:55,  2.19it/s, v_num=1, train_loss_step=1.24e+6, train_loss_epoch=1.21e+6]Epoch 1568/3000:  52%|█████▏    | 1568/3000 [11:39<10:55,  2.19it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6] Epoch 1569/3000:  52%|█████▏    | 1568/3000 [11:39<10:55,  2.19it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6]Epoch 1569/3000:  52%|█████▏    | 1569/3000 [11:39<12:12,  1.95it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6]Epoch 1569/3000:  52%|█████▏    | 1569/3000 [11:39<12:12,  1.95it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.21e+6]Epoch 1570/3000:  52%|█████▏    | 1569/3000 [11:39<12:12,  1.95it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.21e+6]Epoch 1570/3000:  52%|█████▏    | 1570/3000 [11:40<10:20,  2.30it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.21e+6]Epoch 1570/3000:  52%|█████▏    | 1570/3000 [11:40<10:20,  2.30it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.21e+6]Epoch 1571/3000:  52%|█████▏    | 1570/3000 [11:40<10:20,  2.30it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.21e+6]Epoch 1571/3000:  52%|█████▏    | 1571/3000 [11:40<10:51,  2.19it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.21e+6]Epoch 1571/3000:  52%|█████▏    | 1571/3000 [11:40<10:51,  2.19it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.21e+6]Epoch 1572/3000:  52%|█████▏    | 1571/3000 [11:40<10:51,  2.19it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.21e+6]Epoch 1572/3000:  52%|█████▏    | 1572/3000 [11:40<10:52,  2.19it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.21e+6]Epoch 1572/3000:  52%|█████▏    | 1572/3000 [11:40<10:52,  2.19it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6] Epoch 1573/3000:  52%|█████▏    | 1572/3000 [11:41<10:52,  2.19it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6]Epoch 1573/3000:  52%|█████▏    | 1573/3000 [11:41<10:24,  2.28it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.21e+6]Epoch 1573/3000:  52%|█████▏    | 1573/3000 [11:41<10:24,  2.28it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1574/3000:  52%|█████▏    | 1573/3000 [11:41<10:24,  2.28it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1574/3000:  52%|█████▏    | 1574/3000 [11:41<10:06,  2.35it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1574/3000:  52%|█████▏    | 1574/3000 [11:41<10:06,  2.35it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.2e+6]Epoch 1575/3000:  52%|█████▏    | 1574/3000 [11:41<10:06,  2.35it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.2e+6]Epoch 1575/3000:  52%|█████▎    | 1575/3000 [11:42<11:41,  2.03it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.2e+6]Epoch 1575/3000:  52%|█████▎    | 1575/3000 [11:42<11:41,  2.03it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6] Epoch 1576/3000:  52%|█████▎    | 1575/3000 [11:42<11:41,  2.03it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1576/3000:  53%|█████▎    | 1576/3000 [11:42<11:38,  2.04it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1576/3000:  53%|█████▎    | 1576/3000 [11:42<11:38,  2.04it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1577/3000:  53%|█████▎    | 1576/3000 [11:42<11:38,  2.04it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1577/3000:  53%|█████▎    | 1577/3000 [11:43<10:53,  2.18it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1577/3000:  53%|█████▎    | 1577/3000 [11:43<10:53,  2.18it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.2e+6]Epoch 1578/3000:  53%|█████▎    | 1577/3000 [11:43<10:53,  2.18it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.2e+6]Epoch 1578/3000:  53%|█████▎    | 1578/3000 [11:43<11:23,  2.08it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.2e+6]Epoch 1578/3000:  53%|█████▎    | 1578/3000 [11:43<11:23,  2.08it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6] Epoch 1579/3000:  53%|█████▎    | 1578/3000 [11:43<11:23,  2.08it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1579/3000:  53%|█████▎    | 1579/3000 [11:44<11:45,  2.01it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1579/3000:  53%|█████▎    | 1579/3000 [11:44<11:45,  2.01it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1580/3000:  53%|█████▎    | 1579/3000 [11:44<11:45,  2.01it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1580/3000:  53%|█████▎    | 1580/3000 [11:45<12:55,  1.83it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1580/3000:  53%|█████▎    | 1580/3000 [11:45<12:55,  1.83it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.2e+6]Epoch 1581/3000:  53%|█████▎    | 1580/3000 [11:45<12:55,  1.83it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.2e+6]Epoch 1581/3000:  53%|█████▎    | 1581/3000 [11:45<10:43,  2.20it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.2e+6]Epoch 1581/3000:  53%|█████▎    | 1581/3000 [11:45<10:43,  2.20it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.2e+6]Epoch 1582/3000:  53%|█████▎    | 1581/3000 [11:45<10:43,  2.20it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.2e+6]Epoch 1582/3000:  53%|█████▎    | 1582/3000 [11:45<09:10,  2.57it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.2e+6]Epoch 1582/3000:  53%|█████▎    | 1582/3000 [11:45<09:10,  2.57it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1583/3000:  53%|█████▎    | 1582/3000 [11:45<09:10,  2.57it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1583/3000:  53%|█████▎    | 1583/3000 [11:45<09:07,  2.59it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1583/3000:  53%|█████▎    | 1583/3000 [11:45<09:07,  2.59it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6] Epoch 1584/3000:  53%|█████▎    | 1583/3000 [11:45<09:07,  2.59it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1584/3000:  53%|█████▎    | 1584/3000 [11:46<09:34,  2.47it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1584/3000:  53%|█████▎    | 1584/3000 [11:46<09:34,  2.47it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1585/3000:  53%|█████▎    | 1584/3000 [11:46<09:34,  2.47it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1585/3000:  53%|█████▎    | 1585/3000 [11:46<10:05,  2.34it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1585/3000:  53%|█████▎    | 1585/3000 [11:46<10:05,  2.34it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.2e+6]Epoch 1586/3000:  53%|█████▎    | 1585/3000 [11:46<10:05,  2.34it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.2e+6]Epoch 1586/3000:  53%|█████▎    | 1586/3000 [11:47<11:22,  2.07it/s, v_num=1, train_loss_step=1.23e+6, train_loss_epoch=1.2e+6]Epoch 1586/3000:  53%|█████▎    | 1586/3000 [11:47<11:22,  2.07it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.2e+6]Epoch 1587/3000:  53%|█████▎    | 1586/3000 [11:47<11:22,  2.07it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.2e+6]Epoch 1587/3000:  53%|█████▎    | 1587/3000 [11:48<12:32,  1.88it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.2e+6]Epoch 1587/3000:  53%|█████▎    | 1587/3000 [11:48<12:32,  1.88it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1588/3000:  53%|█████▎    | 1587/3000 [11:48<12:32,  1.88it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1588/3000:  53%|█████▎    | 1588/3000 [11:48<13:04,  1.80it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1588/3000:  53%|█████▎    | 1588/3000 [11:48<13:04,  1.80it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1589/3000:  53%|█████▎    | 1588/3000 [11:48<13:04,  1.80it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1589/3000:  53%|█████▎    | 1589/3000 [11:49<11:23,  2.06it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1589/3000:  53%|█████▎    | 1589/3000 [11:49<11:23,  2.06it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6] Epoch 1590/3000:  53%|█████▎    | 1589/3000 [11:49<11:23,  2.06it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1590/3000:  53%|█████▎    | 1590/3000 [11:49<10:46,  2.18it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1590/3000:  53%|█████▎    | 1590/3000 [11:49<10:46,  2.18it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.2e+6]Epoch 1591/3000:  53%|█████▎    | 1590/3000 [11:49<10:46,  2.18it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.2e+6]Epoch 1591/3000:  53%|█████▎    | 1591/3000 [11:49<10:45,  2.18it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.2e+6]Epoch 1591/3000:  53%|█████▎    | 1591/3000 [11:49<10:45,  2.18it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1592/3000:  53%|█████▎    | 1591/3000 [11:49<10:45,  2.18it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1592/3000:  53%|█████▎    | 1592/3000 [11:50<10:33,  2.22it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1592/3000:  53%|█████▎    | 1592/3000 [11:50<10:33,  2.22it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.2e+6]Epoch 1593/3000:  53%|█████▎    | 1592/3000 [11:50<10:33,  2.22it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.2e+6]Epoch 1593/3000:  53%|█████▎    | 1593/3000 [11:50<10:05,  2.32it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.2e+6]Epoch 1593/3000:  53%|█████▎    | 1593/3000 [11:50<10:05,  2.32it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1594/3000:  53%|█████▎    | 1593/3000 [11:50<10:05,  2.32it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1594/3000:  53%|█████▎    | 1594/3000 [11:50<09:02,  2.59it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1594/3000:  53%|█████▎    | 1594/3000 [11:50<09:02,  2.59it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6] Epoch 1595/3000:  53%|█████▎    | 1594/3000 [11:50<09:02,  2.59it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1595/3000:  53%|█████▎    | 1595/3000 [11:51<10:20,  2.26it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1595/3000:  53%|█████▎    | 1595/3000 [11:51<10:20,  2.26it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1596/3000:  53%|█████▎    | 1595/3000 [11:51<10:20,  2.26it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1596/3000:  53%|█████▎    | 1596/3000 [11:52<11:52,  1.97it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1596/3000:  53%|█████▎    | 1596/3000 [11:52<11:52,  1.97it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.2e+6]Epoch 1597/3000:  53%|█████▎    | 1596/3000 [11:52<11:52,  1.97it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.2e+6]Epoch 1597/3000:  53%|█████▎    | 1597/3000 [11:52<11:28,  2.04it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.2e+6]Epoch 1597/3000:  53%|█████▎    | 1597/3000 [11:52<11:28,  2.04it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1598/3000:  53%|█████▎    | 1597/3000 [11:52<11:28,  2.04it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1598/3000:  53%|█████▎    | 1598/3000 [11:53<11:11,  2.09it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1598/3000:  53%|█████▎    | 1598/3000 [11:53<11:11,  2.09it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6] Epoch 1599/3000:  53%|█████▎    | 1598/3000 [11:53<11:11,  2.09it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1599/3000:  53%|█████▎    | 1599/3000 [11:53<11:39,  2.00it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1599/3000:  53%|█████▎    | 1599/3000 [11:53<11:39,  2.00it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1600/3000:  53%|█████▎    | 1599/3000 [11:53<11:39,  2.00it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1600/3000:  53%|█████▎    | 1600/3000 [11:54<12:50,  1.82it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1600/3000:  53%|█████▎    | 1600/3000 [11:54<12:50,  1.82it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1601/3000:  53%|█████▎    | 1600/3000 [11:54<12:50,  1.82it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1601/3000:  53%|█████▎    | 1601/3000 [11:54<12:21,  1.89it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1601/3000:  53%|█████▎    | 1601/3000 [11:54<12:21,  1.89it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1602/3000:  53%|█████▎    | 1601/3000 [11:54<12:21,  1.89it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1602/3000:  53%|█████▎    | 1602/3000 [11:55<12:06,  1.92it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1602/3000:  53%|█████▎    | 1602/3000 [11:55<12:06,  1.92it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6] Epoch 1603/3000:  53%|█████▎    | 1602/3000 [11:55<12:06,  1.92it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1603/3000:  53%|█████▎    | 1603/3000 [11:55<12:02,  1.93it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1603/3000:  53%|█████▎    | 1603/3000 [11:55<12:02,  1.93it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1604/3000:  53%|█████▎    | 1603/3000 [11:55<12:02,  1.93it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1604/3000:  53%|█████▎    | 1604/3000 [11:56<10:53,  2.14it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.2e+6]Epoch 1604/3000:  53%|█████▎    | 1604/3000 [11:56<10:53,  2.14it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6] Epoch 1605/3000:  53%|█████▎    | 1604/3000 [11:56<10:53,  2.14it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1605/3000:  54%|█████▎    | 1605/3000 [11:56<11:08,  2.09it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.2e+6]Epoch 1605/3000:  54%|█████▎    | 1605/3000 [11:56<11:08,  2.09it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1606/3000:  54%|█████▎    | 1605/3000 [11:56<11:08,  2.09it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1606/3000:  54%|█████▎    | 1606/3000 [11:57<11:07,  2.09it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.2e+6]Epoch 1606/3000:  54%|█████▎    | 1606/3000 [11:57<11:07,  2.09it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.2e+6]Epoch 1607/3000:  54%|█████▎    | 1606/3000 [11:57<11:07,  2.09it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.2e+6]Epoch 1607/3000:  54%|█████▎    | 1607/3000 [11:57<11:46,  1.97it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.2e+6]Epoch 1607/3000:  54%|█████▎    | 1607/3000 [11:57<11:46,  1.97it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.2e+6]Epoch 1608/3000:  54%|█████▎    | 1607/3000 [11:57<11:46,  1.97it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.2e+6]Epoch 1608/3000:  54%|█████▎    | 1608/3000 [11:58<11:59,  1.94it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.2e+6]Epoch 1608/3000:  54%|█████▎    | 1608/3000 [11:58<11:59,  1.94it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1609/3000:  54%|█████▎    | 1608/3000 [11:58<11:59,  1.94it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1609/3000:  54%|█████▎    | 1609/3000 [11:58<10:52,  2.13it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1609/3000:  54%|█████▎    | 1609/3000 [11:58<10:52,  2.13it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.19e+6]Epoch 1610/3000:  54%|█████▎    | 1609/3000 [11:58<10:52,  2.13it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.19e+6]Epoch 1610/3000:  54%|█████▎    | 1610/3000 [11:59<10:30,  2.21it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.19e+6]Epoch 1610/3000:  54%|█████▎    | 1610/3000 [11:59<10:30,  2.21it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6] Epoch 1611/3000:  54%|█████▎    | 1610/3000 [11:59<10:30,  2.21it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1611/3000:  54%|█████▎    | 1611/3000 [11:59<10:13,  2.26it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1611/3000:  54%|█████▎    | 1611/3000 [11:59<10:13,  2.26it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1612/3000:  54%|█████▎    | 1611/3000 [11:59<10:13,  2.26it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1612/3000:  54%|█████▎    | 1612/3000 [11:59<10:05,  2.29it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1612/3000:  54%|█████▎    | 1612/3000 [11:59<10:05,  2.29it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1613/3000:  54%|█████▎    | 1612/3000 [11:59<10:05,  2.29it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1613/3000:  54%|█████▍    | 1613/3000 [12:00<10:10,  2.27it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1613/3000:  54%|█████▍    | 1613/3000 [12:00<10:10,  2.27it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1614/3000:  54%|█████▍    | 1613/3000 [12:00<10:10,  2.27it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1614/3000:  54%|█████▍    | 1614/3000 [12:00<10:40,  2.16it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1614/3000:  54%|█████▍    | 1614/3000 [12:00<10:40,  2.16it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6] Epoch 1615/3000:  54%|█████▍    | 1614/3000 [12:00<10:40,  2.16it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1615/3000:  54%|█████▍    | 1615/3000 [12:01<11:07,  2.08it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1615/3000:  54%|█████▍    | 1615/3000 [12:01<11:07,  2.08it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.19e+6]Epoch 1616/3000:  54%|█████▍    | 1615/3000 [12:01<11:07,  2.08it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.19e+6]Epoch 1616/3000:  54%|█████▍    | 1616/3000 [12:01<09:16,  2.49it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.19e+6]Epoch 1616/3000:  54%|█████▍    | 1616/3000 [12:01<09:16,  2.49it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1617/3000:  54%|█████▍    | 1616/3000 [12:01<09:16,  2.49it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1617/3000:  54%|█████▍    | 1617/3000 [12:02<09:58,  2.31it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1617/3000:  54%|█████▍    | 1617/3000 [12:02<09:58,  2.31it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1618/3000:  54%|█████▍    | 1617/3000 [12:02<09:58,  2.31it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1618/3000:  54%|█████▍    | 1618/3000 [12:02<11:24,  2.02it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1618/3000:  54%|█████▍    | 1618/3000 [12:02<11:24,  2.02it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6] Epoch 1619/3000:  54%|█████▍    | 1618/3000 [12:02<11:24,  2.02it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1619/3000:  54%|█████▍    | 1619/3000 [12:03<11:04,  2.08it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1619/3000:  54%|█████▍    | 1619/3000 [12:03<11:04,  2.08it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.19e+6]Epoch 1620/3000:  54%|█████▍    | 1619/3000 [12:03<11:04,  2.08it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.19e+6]Epoch 1620/3000:  54%|█████▍    | 1620/3000 [12:03<11:18,  2.03it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.19e+6]Epoch 1620/3000:  54%|█████▍    | 1620/3000 [12:03<11:18,  2.03it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1621/3000:  54%|█████▍    | 1620/3000 [12:03<11:18,  2.03it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1621/3000:  54%|█████▍    | 1621/3000 [12:04<10:51,  2.12it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1621/3000:  54%|█████▍    | 1621/3000 [12:04<10:51,  2.12it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1622/3000:  54%|█████▍    | 1621/3000 [12:04<10:51,  2.12it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1622/3000:  54%|█████▍    | 1622/3000 [12:04<08:24,  2.73it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1622/3000:  54%|█████▍    | 1622/3000 [12:04<08:24,  2.73it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6] Epoch 1623/3000:  54%|█████▍    | 1622/3000 [12:04<08:24,  2.73it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1623/3000:  54%|█████▍    | 1623/3000 [12:04<08:59,  2.55it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1623/3000:  54%|█████▍    | 1623/3000 [12:04<08:59,  2.55it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1624/3000:  54%|█████▍    | 1623/3000 [12:04<08:59,  2.55it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1624/3000:  54%|█████▍    | 1624/3000 [12:05<09:41,  2.37it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1624/3000:  54%|█████▍    | 1624/3000 [12:05<09:41,  2.37it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.19e+6]Epoch 1625/3000:  54%|█████▍    | 1624/3000 [12:05<09:41,  2.37it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.19e+6]Epoch 1625/3000:  54%|█████▍    | 1625/3000 [12:05<08:45,  2.62it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.19e+6]Epoch 1625/3000:  54%|█████▍    | 1625/3000 [12:05<08:45,  2.62it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.19e+6]Epoch 1626/3000:  54%|█████▍    | 1625/3000 [12:05<08:45,  2.62it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.19e+6]Epoch 1626/3000:  54%|█████▍    | 1626/3000 [12:05<08:52,  2.58it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.19e+6]Epoch 1626/3000:  54%|█████▍    | 1626/3000 [12:05<08:52,  2.58it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6] Epoch 1627/3000:  54%|█████▍    | 1626/3000 [12:05<08:52,  2.58it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1627/3000:  54%|█████▍    | 1627/3000 [12:06<09:36,  2.38it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1627/3000:  54%|█████▍    | 1627/3000 [12:06<09:36,  2.38it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1628/3000:  54%|█████▍    | 1627/3000 [12:06<09:36,  2.38it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1628/3000:  54%|█████▍    | 1628/3000 [12:06<10:35,  2.16it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1628/3000:  54%|█████▍    | 1628/3000 [12:06<10:35,  2.16it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1629/3000:  54%|█████▍    | 1628/3000 [12:06<10:35,  2.16it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1629/3000:  54%|█████▍    | 1629/3000 [12:07<10:23,  2.20it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1629/3000:  54%|█████▍    | 1629/3000 [12:07<10:23,  2.20it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1630/3000:  54%|█████▍    | 1629/3000 [12:07<10:23,  2.20it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1630/3000:  54%|█████▍    | 1630/3000 [12:07<09:26,  2.42it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1630/3000:  54%|█████▍    | 1630/3000 [12:07<09:26,  2.42it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1631/3000:  54%|█████▍    | 1630/3000 [12:07<09:26,  2.42it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1631/3000:  54%|█████▍    | 1631/3000 [12:08<11:03,  2.06it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1631/3000:  54%|█████▍    | 1631/3000 [12:08<11:03,  2.06it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1632/3000:  54%|█████▍    | 1631/3000 [12:08<11:03,  2.06it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1632/3000:  54%|█████▍    | 1632/3000 [12:08<11:04,  2.06it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1632/3000:  54%|█████▍    | 1632/3000 [12:08<11:04,  2.06it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.19e+6]Epoch 1633/3000:  54%|█████▍    | 1632/3000 [12:08<11:04,  2.06it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.19e+6]Epoch 1633/3000:  54%|█████▍    | 1633/3000 [12:09<11:29,  1.98it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.19e+6]Epoch 1633/3000:  54%|█████▍    | 1633/3000 [12:09<11:29,  1.98it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6] Epoch 1634/3000:  54%|█████▍    | 1633/3000 [12:09<11:29,  1.98it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1634/3000:  54%|█████▍    | 1634/3000 [12:09<10:33,  2.16it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1634/3000:  54%|█████▍    | 1634/3000 [12:09<10:33,  2.16it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.19e+6]Epoch 1635/3000:  54%|█████▍    | 1634/3000 [12:09<10:33,  2.16it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.19e+6]Epoch 1635/3000:  55%|█████▍    | 1635/3000 [12:10<09:15,  2.46it/s, v_num=1, train_loss_step=1.22e+6, train_loss_epoch=1.19e+6]Epoch 1635/3000:  55%|█████▍    | 1635/3000 [12:10<09:15,  2.46it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1636/3000:  55%|█████▍    | 1635/3000 [12:10<09:15,  2.46it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1636/3000:  55%|█████▍    | 1636/3000 [12:10<08:46,  2.59it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1636/3000:  55%|█████▍    | 1636/3000 [12:10<08:46,  2.59it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1637/3000:  55%|█████▍    | 1636/3000 [12:10<08:46,  2.59it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1637/3000:  55%|█████▍    | 1637/3000 [12:10<08:17,  2.74it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.19e+6]Epoch 1637/3000:  55%|█████▍    | 1637/3000 [12:10<08:17,  2.74it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.19e+6]Epoch 1638/3000:  55%|█████▍    | 1637/3000 [12:10<08:17,  2.74it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.19e+6]Epoch 1638/3000:  55%|█████▍    | 1638/3000 [12:10<07:44,  2.94it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.19e+6]Epoch 1638/3000:  55%|█████▍    | 1638/3000 [12:10<07:44,  2.94it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1639/3000:  55%|█████▍    | 1638/3000 [12:10<07:44,  2.94it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1639/3000:  55%|█████▍    | 1639/3000 [12:11<08:38,  2.63it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1639/3000:  55%|█████▍    | 1639/3000 [12:11<08:38,  2.63it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.19e+6]Epoch 1640/3000:  55%|█████▍    | 1639/3000 [12:11<08:38,  2.63it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.19e+6]Epoch 1640/3000:  55%|█████▍    | 1640/3000 [12:12<11:00,  2.06it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.19e+6]Epoch 1640/3000:  55%|█████▍    | 1640/3000 [12:12<11:00,  2.06it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1641/3000:  55%|█████▍    | 1640/3000 [12:12<11:00,  2.06it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1641/3000:  55%|█████▍    | 1641/3000 [12:12<10:19,  2.19it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1641/3000:  55%|█████▍    | 1641/3000 [12:12<10:19,  2.19it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6] Epoch 1642/3000:  55%|█████▍    | 1641/3000 [12:12<10:19,  2.19it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1642/3000:  55%|█████▍    | 1642/3000 [12:13<11:11,  2.02it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.19e+6]Epoch 1642/3000:  55%|█████▍    | 1642/3000 [12:13<11:11,  2.02it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1643/3000:  55%|█████▍    | 1642/3000 [12:13<11:11,  2.02it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1643/3000:  55%|█████▍    | 1643/3000 [12:13<11:01,  2.05it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1643/3000:  55%|█████▍    | 1643/3000 [12:13<11:01,  2.05it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1644/3000:  55%|█████▍    | 1643/3000 [12:13<11:01,  2.05it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1644/3000:  55%|█████▍    | 1644/3000 [12:14<10:57,  2.06it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1644/3000:  55%|█████▍    | 1644/3000 [12:14<10:57,  2.06it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1645/3000:  55%|█████▍    | 1644/3000 [12:14<10:57,  2.06it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1645/3000:  55%|█████▍    | 1645/3000 [12:14<11:02,  2.04it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.19e+6]Epoch 1645/3000:  55%|█████▍    | 1645/3000 [12:14<11:02,  2.04it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1646/3000:  55%|█████▍    | 1645/3000 [12:14<11:02,  2.04it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1646/3000:  55%|█████▍    | 1646/3000 [12:15<10:50,  2.08it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1646/3000:  55%|█████▍    | 1646/3000 [12:15<10:50,  2.08it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6] Epoch 1647/3000:  55%|█████▍    | 1646/3000 [12:15<10:50,  2.08it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1647/3000:  55%|█████▍    | 1647/3000 [12:15<11:10,  2.02it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1647/3000:  55%|█████▍    | 1647/3000 [12:15<11:10,  2.02it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1648/3000:  55%|█████▍    | 1647/3000 [12:15<11:10,  2.02it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1648/3000:  55%|█████▍    | 1648/3000 [12:15<10:38,  2.12it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1648/3000:  55%|█████▍    | 1648/3000 [12:15<10:38,  2.12it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6] Epoch 1649/3000:  55%|█████▍    | 1648/3000 [12:15<10:38,  2.12it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1649/3000:  55%|█████▍    | 1649/3000 [12:16<11:17,  2.00it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1649/3000:  55%|█████▍    | 1649/3000 [12:16<11:17,  2.00it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1650/3000:  55%|█████▍    | 1649/3000 [12:16<11:17,  2.00it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1650/3000:  55%|█████▌    | 1650/3000 [12:17<12:24,  1.81it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1650/3000:  55%|█████▌    | 1650/3000 [12:17<12:24,  1.81it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1651/3000:  55%|█████▌    | 1650/3000 [12:17<12:24,  1.81it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1651/3000:  55%|█████▌    | 1651/3000 [12:17<12:29,  1.80it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1651/3000:  55%|█████▌    | 1651/3000 [12:17<12:29,  1.80it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6] Epoch 1652/3000:  55%|█████▌    | 1651/3000 [12:17<12:29,  1.80it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1652/3000:  55%|█████▌    | 1652/3000 [12:18<11:46,  1.91it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1652/3000:  55%|█████▌    | 1652/3000 [12:18<11:46,  1.91it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1653/3000:  55%|█████▌    | 1652/3000 [12:18<11:46,  1.91it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1653/3000:  55%|█████▌    | 1653/3000 [12:18<11:08,  2.02it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1653/3000:  55%|█████▌    | 1653/3000 [12:18<11:08,  2.02it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.18e+6]Epoch 1654/3000:  55%|█████▌    | 1653/3000 [12:18<11:08,  2.02it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.18e+6]Epoch 1654/3000:  55%|█████▌    | 1654/3000 [12:19<10:50,  2.07it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.18e+6]Epoch 1654/3000:  55%|█████▌    | 1654/3000 [12:19<10:50,  2.07it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1655/3000:  55%|█████▌    | 1654/3000 [12:19<10:50,  2.07it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1655/3000:  55%|█████▌    | 1655/3000 [12:19<10:55,  2.05it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1655/3000:  55%|█████▌    | 1655/3000 [12:19<10:55,  2.05it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1656/3000:  55%|█████▌    | 1655/3000 [12:19<10:55,  2.05it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1656/3000:  55%|█████▌    | 1656/3000 [12:20<11:46,  1.90it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1656/3000:  55%|█████▌    | 1656/3000 [12:20<11:46,  1.90it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1657/3000:  55%|█████▌    | 1656/3000 [12:20<11:46,  1.90it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1657/3000:  55%|█████▌    | 1657/3000 [12:20<11:24,  1.96it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1657/3000:  55%|█████▌    | 1657/3000 [12:20<11:24,  1.96it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.18e+6]Epoch 1658/3000:  55%|█████▌    | 1657/3000 [12:20<11:24,  1.96it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.18e+6]Epoch 1658/3000:  55%|█████▌    | 1658/3000 [12:21<10:57,  2.04it/s, v_num=1, train_loss_step=1.21e+6, train_loss_epoch=1.18e+6]Epoch 1658/3000:  55%|█████▌    | 1658/3000 [12:21<10:57,  2.04it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1659/3000:  55%|█████▌    | 1658/3000 [12:21<10:57,  2.04it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1659/3000:  55%|█████▌    | 1659/3000 [12:21<10:03,  2.22it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1659/3000:  55%|█████▌    | 1659/3000 [12:21<10:03,  2.22it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1660/3000:  55%|█████▌    | 1659/3000 [12:21<10:03,  2.22it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1660/3000:  55%|█████▌    | 1660/3000 [12:21<08:47,  2.54it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1660/3000:  55%|█████▌    | 1660/3000 [12:21<08:47,  2.54it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1661/3000:  55%|█████▌    | 1660/3000 [12:21<08:47,  2.54it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1661/3000:  55%|█████▌    | 1661/3000 [12:22<09:06,  2.45it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1661/3000:  55%|█████▌    | 1661/3000 [12:22<09:06,  2.45it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1662/3000:  55%|█████▌    | 1661/3000 [12:22<09:06,  2.45it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1662/3000:  55%|█████▌    | 1662/3000 [12:22<08:22,  2.67it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1662/3000:  55%|█████▌    | 1662/3000 [12:22<08:22,  2.67it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.18e+6]Epoch 1663/3000:  55%|█████▌    | 1662/3000 [12:22<08:22,  2.67it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.18e+6]Epoch 1663/3000:  55%|█████▌    | 1663/3000 [12:23<09:27,  2.36it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.18e+6]Epoch 1663/3000:  55%|█████▌    | 1663/3000 [12:23<09:27,  2.36it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1664/3000:  55%|█████▌    | 1663/3000 [12:23<09:27,  2.36it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1664/3000:  55%|█████▌    | 1664/3000 [12:23<09:53,  2.25it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1664/3000:  55%|█████▌    | 1664/3000 [12:23<09:53,  2.25it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6] Epoch 1665/3000:  55%|█████▌    | 1664/3000 [12:23<09:53,  2.25it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1665/3000:  56%|█████▌    | 1665/3000 [12:24<10:22,  2.15it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1665/3000:  56%|█████▌    | 1665/3000 [12:24<10:22,  2.15it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1666/3000:  56%|█████▌    | 1665/3000 [12:24<10:22,  2.15it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1666/3000:  56%|█████▌    | 1666/3000 [12:24<10:03,  2.21it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1666/3000:  56%|█████▌    | 1666/3000 [12:24<10:03,  2.21it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1667/3000:  56%|█████▌    | 1666/3000 [12:24<10:03,  2.21it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1667/3000:  56%|█████▌    | 1667/3000 [12:24<10:21,  2.15it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1667/3000:  56%|█████▌    | 1667/3000 [12:24<10:21,  2.15it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1668/3000:  56%|█████▌    | 1667/3000 [12:24<10:21,  2.15it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1668/3000:  56%|█████▌    | 1668/3000 [12:25<10:23,  2.14it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1668/3000:  56%|█████▌    | 1668/3000 [12:25<10:23,  2.14it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1669/3000:  56%|█████▌    | 1668/3000 [12:25<10:23,  2.14it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1669/3000:  56%|█████▌    | 1669/3000 [12:26<11:24,  1.94it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1669/3000:  56%|█████▌    | 1669/3000 [12:26<11:24,  1.94it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6] Epoch 1670/3000:  56%|█████▌    | 1669/3000 [12:26<11:24,  1.94it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1670/3000:  56%|█████▌    | 1670/3000 [12:26<12:12,  1.81it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1670/3000:  56%|█████▌    | 1670/3000 [12:26<12:12,  1.81it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1671/3000:  56%|█████▌    | 1670/3000 [12:26<12:12,  1.81it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1671/3000:  56%|█████▌    | 1671/3000 [12:27<11:48,  1.88it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1671/3000:  56%|█████▌    | 1671/3000 [12:27<11:48,  1.88it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1672/3000:  56%|█████▌    | 1671/3000 [12:27<11:48,  1.88it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1672/3000:  56%|█████▌    | 1672/3000 [12:27<09:38,  2.30it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1672/3000:  56%|█████▌    | 1672/3000 [12:27<09:38,  2.30it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6] Epoch 1673/3000:  56%|█████▌    | 1672/3000 [12:27<09:38,  2.30it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1673/3000:  56%|█████▌    | 1673/3000 [12:27<09:38,  2.30it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1674/3000:  56%|█████▌    | 1673/3000 [12:27<09:38,  2.30it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1674/3000:  56%|█████▌    | 1674/3000 [12:27<06:11,  3.57it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.18e+6]Epoch 1674/3000:  56%|█████▌    | 1674/3000 [12:27<06:11,  3.57it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1675/3000:  56%|█████▌    | 1674/3000 [12:27<06:11,  3.57it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1675/3000:  56%|█████▌    | 1675/3000 [12:27<05:13,  4.23it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1675/3000:  56%|█████▌    | 1675/3000 [12:27<05:13,  4.23it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1676/3000:  56%|█████▌    | 1675/3000 [12:27<05:13,  4.23it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1676/3000:  56%|█████▌    | 1676/3000 [12:27<05:12,  4.23it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.18e+6]Epoch 1677/3000:  56%|█████▌    | 1676/3000 [12:27<05:12,  4.23it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.18e+6]Epoch 1677/3000:  56%|█████▌    | 1677/3000 [12:27<04:00,  5.51it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.18e+6]Epoch 1677/3000:  56%|█████▌    | 1677/3000 [12:27<04:00,  5.51it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1678/3000:  56%|█████▌    | 1677/3000 [12:27<04:00,  5.51it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1678/3000:  56%|█████▌    | 1678/3000 [12:28<05:07,  4.30it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1678/3000:  56%|█████▌    | 1678/3000 [12:28<05:07,  4.30it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1679/3000:  56%|█████▌    | 1678/3000 [12:28<05:07,  4.30it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1679/3000:  56%|█████▌    | 1679/3000 [12:28<05:14,  4.20it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.18e+6]Epoch 1679/3000:  56%|█████▌    | 1679/3000 [12:28<05:14,  4.20it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1680/3000:  56%|█████▌    | 1679/3000 [12:28<05:14,  4.20it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1680/3000:  56%|█████▌    | 1680/3000 [12:29<06:41,  3.29it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1680/3000:  56%|█████▌    | 1680/3000 [12:29<06:41,  3.29it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1681/3000:  56%|█████▌    | 1680/3000 [12:29<06:41,  3.29it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1681/3000:  56%|█████▌    | 1681/3000 [12:29<07:53,  2.78it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1681/3000:  56%|█████▌    | 1681/3000 [12:29<07:53,  2.78it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1682/3000:  56%|█████▌    | 1681/3000 [12:29<07:53,  2.78it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1682/3000:  56%|█████▌    | 1682/3000 [12:30<08:31,  2.58it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.18e+6]Epoch 1682/3000:  56%|█████▌    | 1682/3000 [12:30<08:31,  2.58it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1683/3000:  56%|█████▌    | 1682/3000 [12:30<08:31,  2.58it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1683/3000:  56%|█████▌    | 1683/3000 [12:30<08:38,  2.54it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1683/3000:  56%|█████▌    | 1683/3000 [12:30<08:38,  2.54it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1684/3000:  56%|█████▌    | 1683/3000 [12:30<08:38,  2.54it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1684/3000:  56%|█████▌    | 1684/3000 [12:30<08:46,  2.50it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.18e+6]Epoch 1684/3000:  56%|█████▌    | 1684/3000 [12:30<08:46,  2.50it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.17e+6]Epoch 1685/3000:  56%|█████▌    | 1684/3000 [12:30<08:46,  2.50it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.17e+6]Epoch 1685/3000:  56%|█████▌    | 1685/3000 [12:31<09:23,  2.33it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.17e+6]Epoch 1685/3000:  56%|█████▌    | 1685/3000 [12:31<09:23,  2.33it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1686/3000:  56%|█████▌    | 1685/3000 [12:31<09:23,  2.33it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1686/3000:  56%|█████▌    | 1686/3000 [12:31<08:38,  2.53it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1686/3000:  56%|█████▌    | 1686/3000 [12:31<08:38,  2.53it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1687/3000:  56%|█████▌    | 1686/3000 [12:31<08:38,  2.53it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1687/3000:  56%|█████▌    | 1687/3000 [12:32<08:49,  2.48it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1687/3000:  56%|█████▌    | 1687/3000 [12:32<08:49,  2.48it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.17e+6] Epoch 1688/3000:  56%|█████▌    | 1687/3000 [12:32<08:49,  2.48it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.17e+6]Epoch 1688/3000:  56%|█████▋    | 1688/3000 [12:32<09:20,  2.34it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.17e+6]Epoch 1688/3000:  56%|█████▋    | 1688/3000 [12:32<09:20,  2.34it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.17e+6]Epoch 1689/3000:  56%|█████▋    | 1688/3000 [12:32<09:20,  2.34it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.17e+6]Epoch 1689/3000:  56%|█████▋    | 1689/3000 [12:33<09:50,  2.22it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.17e+6]Epoch 1689/3000:  56%|█████▋    | 1689/3000 [12:33<09:50,  2.22it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1690/3000:  56%|█████▋    | 1689/3000 [12:33<09:50,  2.22it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1690/3000:  56%|█████▋    | 1690/3000 [12:33<10:24,  2.10it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1690/3000:  56%|█████▋    | 1690/3000 [12:33<10:24,  2.10it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.17e+6]Epoch 1691/3000:  56%|█████▋    | 1690/3000 [12:33<10:24,  2.10it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.17e+6]Epoch 1691/3000:  56%|█████▋    | 1691/3000 [12:34<10:26,  2.09it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.17e+6]Epoch 1691/3000:  56%|█████▋    | 1691/3000 [12:34<10:26,  2.09it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.17e+6]Epoch 1692/3000:  56%|█████▋    | 1691/3000 [12:34<10:26,  2.09it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.17e+6]Epoch 1692/3000:  56%|█████▋    | 1692/3000 [12:34<10:40,  2.04it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.17e+6]Epoch 1692/3000:  56%|█████▋    | 1692/3000 [12:34<10:40,  2.04it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1693/3000:  56%|█████▋    | 1692/3000 [12:34<10:40,  2.04it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1693/3000:  56%|█████▋    | 1693/3000 [12:35<10:42,  2.04it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1693/3000:  56%|█████▋    | 1693/3000 [12:35<10:42,  2.04it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1694/3000:  56%|█████▋    | 1693/3000 [12:35<10:42,  2.04it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1694/3000:  56%|█████▋    | 1694/3000 [12:35<10:33,  2.06it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1694/3000:  56%|█████▋    | 1694/3000 [12:35<10:33,  2.06it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.17e+6] Epoch 1695/3000:  56%|█████▋    | 1694/3000 [12:35<10:33,  2.06it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.17e+6]Epoch 1695/3000:  56%|█████▋    | 1695/3000 [12:36<10:17,  2.11it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.17e+6]Epoch 1695/3000:  56%|█████▋    | 1695/3000 [12:36<10:17,  2.11it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.17e+6]Epoch 1696/3000:  56%|█████▋    | 1695/3000 [12:36<10:17,  2.11it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.17e+6]Epoch 1696/3000:  57%|█████▋    | 1696/3000 [12:36<10:53,  2.00it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.17e+6]Epoch 1696/3000:  57%|█████▋    | 1696/3000 [12:36<10:53,  2.00it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1697/3000:  57%|█████▋    | 1696/3000 [12:36<10:53,  2.00it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1697/3000:  57%|█████▋    | 1697/3000 [12:37<11:25,  1.90it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1697/3000:  57%|█████▋    | 1697/3000 [12:37<11:25,  1.90it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.17e+6]Epoch 1698/3000:  57%|█████▋    | 1697/3000 [12:37<11:25,  1.90it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.17e+6]Epoch 1698/3000:  57%|█████▋    | 1698/3000 [12:37<11:36,  1.87it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.17e+6]Epoch 1698/3000:  57%|█████▋    | 1698/3000 [12:37<11:36,  1.87it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1699/3000:  57%|█████▋    | 1698/3000 [12:37<11:36,  1.87it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1699/3000:  57%|█████▋    | 1699/3000 [12:38<10:49,  2.00it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1699/3000:  57%|█████▋    | 1699/3000 [12:38<10:49,  2.00it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1700/3000:  57%|█████▋    | 1699/3000 [12:38<10:49,  2.00it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1700/3000:  57%|█████▋    | 1700/3000 [12:38<10:10,  2.13it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1700/3000:  57%|█████▋    | 1700/3000 [12:38<10:10,  2.13it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1701/3000:  57%|█████▋    | 1700/3000 [12:38<10:10,  2.13it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1701/3000:  57%|█████▋    | 1701/3000 [12:38<09:53,  2.19it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1701/3000:  57%|█████▋    | 1701/3000 [12:38<09:53,  2.19it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1702/3000:  57%|█████▋    | 1701/3000 [12:38<09:53,  2.19it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1702/3000:  57%|█████▋    | 1702/3000 [12:39<09:46,  2.21it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1702/3000:  57%|█████▋    | 1702/3000 [12:39<09:46,  2.21it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1703/3000:  57%|█████▋    | 1702/3000 [12:39<09:46,  2.21it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1703/3000:  57%|█████▋    | 1703/3000 [12:39<09:30,  2.27it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1703/3000:  57%|█████▋    | 1703/3000 [12:39<09:30,  2.27it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.17e+6] Epoch 1704/3000:  57%|█████▋    | 1703/3000 [12:39<09:30,  2.27it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.17e+6]Epoch 1704/3000:  57%|█████▋    | 1704/3000 [12:40<10:48,  2.00it/s, v_num=1, train_loss_step=1.2e+6, train_loss_epoch=1.17e+6]Epoch 1704/3000:  57%|█████▋    | 1704/3000 [12:40<10:48,  2.00it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1705/3000:  57%|█████▋    | 1704/3000 [12:40<10:48,  2.00it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1705/3000:  57%|█████▋    | 1705/3000 [12:40<08:56,  2.41it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1705/3000:  57%|█████▋    | 1705/3000 [12:40<08:56,  2.41it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1706/3000:  57%|█████▋    | 1705/3000 [12:40<08:56,  2.41it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1706/3000:  57%|█████▋    | 1706/3000 [12:41<10:08,  2.13it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1706/3000:  57%|█████▋    | 1706/3000 [12:41<10:08,  2.13it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.17e+6]Epoch 1707/3000:  57%|█████▋    | 1706/3000 [12:41<10:08,  2.13it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.17e+6]Epoch 1707/3000:  57%|█████▋    | 1707/3000 [12:41<11:27,  1.88it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.17e+6]Epoch 1707/3000:  57%|█████▋    | 1707/3000 [12:41<11:27,  1.88it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.17e+6]Epoch 1708/3000:  57%|█████▋    | 1707/3000 [12:41<11:27,  1.88it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.17e+6]Epoch 1708/3000:  57%|█████▋    | 1708/3000 [12:42<10:21,  2.08it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.17e+6]Epoch 1708/3000:  57%|█████▋    | 1708/3000 [12:42<10:21,  2.08it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1709/3000:  57%|█████▋    | 1708/3000 [12:42<10:21,  2.08it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1709/3000:  57%|█████▋    | 1709/3000 [12:42<09:55,  2.17it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1709/3000:  57%|█████▋    | 1709/3000 [12:42<09:55,  2.17it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1710/3000:  57%|█████▋    | 1709/3000 [12:42<09:55,  2.17it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1710/3000:  57%|█████▋    | 1710/3000 [12:43<10:26,  2.06it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1710/3000:  57%|█████▋    | 1710/3000 [12:43<10:26,  2.06it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1711/3000:  57%|█████▋    | 1710/3000 [12:43<10:26,  2.06it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1711/3000:  57%|█████▋    | 1711/3000 [12:43<10:20,  2.08it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1711/3000:  57%|█████▋    | 1711/3000 [12:43<10:20,  2.08it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.17e+6]Epoch 1712/3000:  57%|█████▋    | 1711/3000 [12:43<10:20,  2.08it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.17e+6]Epoch 1712/3000:  57%|█████▋    | 1712/3000 [12:44<10:35,  2.03it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.17e+6]Epoch 1712/3000:  57%|█████▋    | 1712/3000 [12:44<10:35,  2.03it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1713/3000:  57%|█████▋    | 1712/3000 [12:44<10:35,  2.03it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1713/3000:  57%|█████▋    | 1713/3000 [12:44<11:09,  1.92it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1713/3000:  57%|█████▋    | 1713/3000 [12:44<11:09,  1.92it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1714/3000:  57%|█████▋    | 1713/3000 [12:44<11:09,  1.92it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1714/3000:  57%|█████▋    | 1714/3000 [12:45<11:14,  1.91it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1714/3000:  57%|█████▋    | 1714/3000 [12:45<11:14,  1.91it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1715/3000:  57%|█████▋    | 1714/3000 [12:45<11:14,  1.91it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1715/3000:  57%|█████▋    | 1715/3000 [12:45<11:09,  1.92it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1715/3000:  57%|█████▋    | 1715/3000 [12:45<11:09,  1.92it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1716/3000:  57%|█████▋    | 1715/3000 [12:45<11:09,  1.92it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1716/3000:  57%|█████▋    | 1716/3000 [12:46<09:54,  2.16it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1716/3000:  57%|█████▋    | 1716/3000 [12:46<09:54,  2.16it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1717/3000:  57%|█████▋    | 1716/3000 [12:46<09:54,  2.16it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1717/3000:  57%|█████▋    | 1717/3000 [12:46<08:38,  2.48it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1717/3000:  57%|█████▋    | 1717/3000 [12:46<08:38,  2.48it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.17e+6]Epoch 1718/3000:  57%|█████▋    | 1717/3000 [12:46<08:38,  2.48it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.17e+6]Epoch 1718/3000:  57%|█████▋    | 1718/3000 [12:46<08:28,  2.52it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.17e+6]Epoch 1718/3000:  57%|█████▋    | 1718/3000 [12:46<08:28,  2.52it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1719/3000:  57%|█████▋    | 1718/3000 [12:46<08:28,  2.52it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1719/3000:  57%|█████▋    | 1719/3000 [12:47<09:15,  2.31it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1719/3000:  57%|█████▋    | 1719/3000 [12:47<09:15,  2.31it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1720/3000:  57%|█████▋    | 1719/3000 [12:47<09:15,  2.31it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1720/3000:  57%|█████▋    | 1720/3000 [12:47<09:50,  2.17it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1720/3000:  57%|█████▋    | 1720/3000 [12:47<09:50,  2.17it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1721/3000:  57%|█████▋    | 1720/3000 [12:47<09:50,  2.17it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1721/3000:  57%|█████▋    | 1721/3000 [12:48<09:44,  2.19it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1721/3000:  57%|█████▋    | 1721/3000 [12:48<09:44,  2.19it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.17e+6]Epoch 1722/3000:  57%|█████▋    | 1721/3000 [12:48<09:44,  2.19it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.17e+6]Epoch 1722/3000:  57%|█████▋    | 1722/3000 [12:48<09:47,  2.18it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.17e+6]Epoch 1722/3000:  57%|█████▋    | 1722/3000 [12:48<09:47,  2.18it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1723/3000:  57%|█████▋    | 1722/3000 [12:48<09:47,  2.18it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1723/3000:  57%|█████▋    | 1723/3000 [12:49<09:45,  2.18it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.17e+6]Epoch 1723/3000:  57%|█████▋    | 1723/3000 [12:49<09:45,  2.18it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1724/3000:  57%|█████▋    | 1723/3000 [12:49<09:45,  2.18it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1724/3000:  57%|█████▋    | 1724/3000 [12:49<10:26,  2.04it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.17e+6]Epoch 1724/3000:  57%|█████▋    | 1724/3000 [12:49<10:26,  2.04it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.17e+6]Epoch 1725/3000:  57%|█████▋    | 1724/3000 [12:49<10:26,  2.04it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.17e+6]Epoch 1725/3000:  57%|█████▊    | 1725/3000 [12:50<08:51,  2.40it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.17e+6]Epoch 1725/3000:  57%|█████▊    | 1725/3000 [12:50<08:51,  2.40it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1726/3000:  57%|█████▊    | 1725/3000 [12:50<08:51,  2.40it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1726/3000:  58%|█████▊    | 1726/3000 [12:50<08:33,  2.48it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1726/3000:  58%|█████▊    | 1726/3000 [12:50<08:33,  2.48it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1727/3000:  58%|█████▊    | 1726/3000 [12:50<08:33,  2.48it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1727/3000:  58%|█████▊    | 1727/3000 [12:50<09:11,  2.31it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1727/3000:  58%|█████▊    | 1727/3000 [12:50<09:11,  2.31it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1728/3000:  58%|█████▊    | 1727/3000 [12:50<09:11,  2.31it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1728/3000:  58%|█████▊    | 1728/3000 [12:51<09:20,  2.27it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1728/3000:  58%|█████▊    | 1728/3000 [12:51<09:20,  2.27it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1729/3000:  58%|█████▊    | 1728/3000 [12:51<09:20,  2.27it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1729/3000:  58%|█████▊    | 1729/3000 [12:51<08:45,  2.42it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1729/3000:  58%|█████▊    | 1729/3000 [12:51<08:45,  2.42it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1730/3000:  58%|█████▊    | 1729/3000 [12:51<08:45,  2.42it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1730/3000:  58%|█████▊    | 1730/3000 [12:52<09:04,  2.33it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1730/3000:  58%|█████▊    | 1730/3000 [12:52<09:04,  2.33it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1731/3000:  58%|█████▊    | 1730/3000 [12:52<09:04,  2.33it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1731/3000:  58%|█████▊    | 1731/3000 [12:52<09:40,  2.18it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1731/3000:  58%|█████▊    | 1731/3000 [12:52<09:40,  2.18it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1732/3000:  58%|█████▊    | 1731/3000 [12:52<09:40,  2.18it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1732/3000:  58%|█████▊    | 1732/3000 [12:53<10:04,  2.10it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1732/3000:  58%|█████▊    | 1732/3000 [12:53<10:04,  2.10it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1733/3000:  58%|█████▊    | 1732/3000 [12:53<10:04,  2.10it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1733/3000:  58%|█████▊    | 1733/3000 [12:53<10:20,  2.04it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1733/3000:  58%|█████▊    | 1733/3000 [12:53<10:20,  2.04it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1734/3000:  58%|█████▊    | 1733/3000 [12:53<10:20,  2.04it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1734/3000:  58%|█████▊    | 1734/3000 [12:54<09:52,  2.14it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1734/3000:  58%|█████▊    | 1734/3000 [12:54<09:52,  2.14it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1735/3000:  58%|█████▊    | 1734/3000 [12:54<09:52,  2.14it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1735/3000:  58%|█████▊    | 1735/3000 [12:54<09:40,  2.18it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1735/3000:  58%|█████▊    | 1735/3000 [12:54<09:40,  2.18it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.16e+6]Epoch 1736/3000:  58%|█████▊    | 1735/3000 [12:54<09:40,  2.18it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.16e+6]Epoch 1736/3000:  58%|█████▊    | 1736/3000 [12:55<10:19,  2.04it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.16e+6]Epoch 1736/3000:  58%|█████▊    | 1736/3000 [12:55<10:19,  2.04it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.16e+6]Epoch 1737/3000:  58%|█████▊    | 1736/3000 [12:55<10:19,  2.04it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.16e+6]Epoch 1737/3000:  58%|█████▊    | 1737/3000 [12:55<10:41,  1.97it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.16e+6]Epoch 1737/3000:  58%|█████▊    | 1737/3000 [12:55<10:41,  1.97it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1738/3000:  58%|█████▊    | 1737/3000 [12:55<10:41,  1.97it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1738/3000:  58%|█████▊    | 1738/3000 [12:56<10:48,  1.95it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1738/3000:  58%|█████▊    | 1738/3000 [12:56<10:48,  1.95it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1739/3000:  58%|█████▊    | 1738/3000 [12:56<10:48,  1.95it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1739/3000:  58%|█████▊    | 1739/3000 [12:56<10:43,  1.96it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1739/3000:  58%|█████▊    | 1739/3000 [12:56<10:43,  1.96it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1740/3000:  58%|█████▊    | 1739/3000 [12:56<10:43,  1.96it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1740/3000:  58%|█████▊    | 1740/3000 [12:57<10:17,  2.04it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1740/3000:  58%|█████▊    | 1740/3000 [12:57<10:17,  2.04it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1741/3000:  58%|█████▊    | 1740/3000 [12:57<10:17,  2.04it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1741/3000:  58%|█████▊    | 1741/3000 [12:57<11:06,  1.89it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1741/3000:  58%|█████▊    | 1741/3000 [12:57<11:06,  1.89it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1742/3000:  58%|█████▊    | 1741/3000 [12:57<11:06,  1.89it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1742/3000:  58%|█████▊    | 1742/3000 [12:58<09:24,  2.23it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1742/3000:  58%|█████▊    | 1742/3000 [12:58<09:24,  2.23it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.16e+6]Epoch 1743/3000:  58%|█████▊    | 1742/3000 [12:58<09:24,  2.23it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.16e+6]Epoch 1743/3000:  58%|█████▊    | 1743/3000 [12:58<08:58,  2.34it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.16e+6]Epoch 1743/3000:  58%|█████▊    | 1743/3000 [12:58<08:58,  2.34it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1744/3000:  58%|█████▊    | 1743/3000 [12:58<08:58,  2.34it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1744/3000:  58%|█████▊    | 1744/3000 [12:58<08:27,  2.47it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1744/3000:  58%|█████▊    | 1744/3000 [12:58<08:27,  2.47it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1745/3000:  58%|█████▊    | 1744/3000 [12:58<08:27,  2.47it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1745/3000:  58%|█████▊    | 1745/3000 [12:59<08:57,  2.34it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1745/3000:  58%|█████▊    | 1745/3000 [12:59<08:57,  2.34it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.16e+6]Epoch 1746/3000:  58%|█████▊    | 1745/3000 [12:59<08:57,  2.34it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.16e+6]Epoch 1746/3000:  58%|█████▊    | 1746/3000 [13:00<10:29,  1.99it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.16e+6]Epoch 1746/3000:  58%|█████▊    | 1746/3000 [13:00<10:29,  1.99it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1747/3000:  58%|█████▊    | 1746/3000 [13:00<10:29,  1.99it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1747/3000:  58%|█████▊    | 1747/3000 [13:00<11:36,  1.80it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1747/3000:  58%|█████▊    | 1747/3000 [13:00<11:36,  1.80it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1748/3000:  58%|█████▊    | 1747/3000 [13:00<11:36,  1.80it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1748/3000:  58%|█████▊    | 1748/3000 [13:01<11:00,  1.90it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.16e+6]Epoch 1748/3000:  58%|█████▊    | 1748/3000 [13:01<11:00,  1.90it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1749/3000:  58%|█████▊    | 1748/3000 [13:01<11:00,  1.90it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1749/3000:  58%|█████▊    | 1749/3000 [13:01<10:45,  1.94it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1749/3000:  58%|█████▊    | 1749/3000 [13:01<10:45,  1.94it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1750/3000:  58%|█████▊    | 1749/3000 [13:01<10:45,  1.94it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1750/3000:  58%|█████▊    | 1750/3000 [13:02<10:26,  2.00it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1750/3000:  58%|█████▊    | 1750/3000 [13:02<10:26,  2.00it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1751/3000:  58%|█████▊    | 1750/3000 [13:02<10:26,  2.00it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1751/3000:  58%|█████▊    | 1751/3000 [13:02<09:48,  2.12it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1751/3000:  58%|█████▊    | 1751/3000 [13:02<09:48,  2.12it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1752/3000:  58%|█████▊    | 1751/3000 [13:02<09:48,  2.12it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1752/3000:  58%|█████▊    | 1752/3000 [13:02<09:44,  2.14it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1752/3000:  58%|█████▊    | 1752/3000 [13:02<09:44,  2.14it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1753/3000:  58%|█████▊    | 1752/3000 [13:02<09:44,  2.14it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1753/3000:  58%|█████▊    | 1753/3000 [13:03<10:15,  2.02it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1753/3000:  58%|█████▊    | 1753/3000 [13:03<10:15,  2.02it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1754/3000:  58%|█████▊    | 1753/3000 [13:03<10:15,  2.02it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1754/3000:  58%|█████▊    | 1754/3000 [13:04<10:30,  1.98it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1754/3000:  58%|█████▊    | 1754/3000 [13:04<10:30,  1.98it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1755/3000:  58%|█████▊    | 1754/3000 [13:04<10:30,  1.98it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1755/3000:  58%|█████▊    | 1755/3000 [13:04<10:20,  2.01it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1755/3000:  58%|█████▊    | 1755/3000 [13:04<10:20,  2.01it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1756/3000:  58%|█████▊    | 1755/3000 [13:04<10:20,  2.01it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1756/3000:  59%|█████▊    | 1756/3000 [13:05<10:42,  1.94it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1756/3000:  59%|█████▊    | 1756/3000 [13:05<10:42,  1.94it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1757/3000:  59%|█████▊    | 1756/3000 [13:05<10:42,  1.94it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1757/3000:  59%|█████▊    | 1757/3000 [13:05<09:39,  2.15it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1757/3000:  59%|█████▊    | 1757/3000 [13:05<09:39,  2.15it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1758/3000:  59%|█████▊    | 1757/3000 [13:05<09:39,  2.15it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1758/3000:  59%|█████▊    | 1758/3000 [13:05<08:10,  2.53it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1758/3000:  59%|█████▊    | 1758/3000 [13:05<08:10,  2.53it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1759/3000:  59%|█████▊    | 1758/3000 [13:05<08:10,  2.53it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1759/3000:  59%|█████▊    | 1759/3000 [13:06<09:25,  2.20it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1759/3000:  59%|█████▊    | 1759/3000 [13:06<09:25,  2.20it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.16e+6]Epoch 1760/3000:  59%|█████▊    | 1759/3000 [13:06<09:25,  2.20it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.16e+6]Epoch 1760/3000:  59%|█████▊    | 1760/3000 [13:06<10:06,  2.04it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.16e+6]Epoch 1760/3000:  59%|█████▊    | 1760/3000 [13:06<10:06,  2.04it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1761/3000:  59%|█████▊    | 1760/3000 [13:06<10:06,  2.04it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1761/3000:  59%|█████▊    | 1761/3000 [13:07<10:35,  1.95it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1761/3000:  59%|█████▊    | 1761/3000 [13:07<10:35,  1.95it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1762/3000:  59%|█████▊    | 1761/3000 [13:07<10:35,  1.95it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1762/3000:  59%|█████▊    | 1762/3000 [13:07<09:49,  2.10it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1762/3000:  59%|█████▊    | 1762/3000 [13:07<09:49,  2.10it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1763/3000:  59%|█████▊    | 1762/3000 [13:07<09:49,  2.10it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1763/3000:  59%|█████▉    | 1763/3000 [13:08<09:00,  2.29it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1763/3000:  59%|█████▉    | 1763/3000 [13:08<09:00,  2.29it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1764/3000:  59%|█████▉    | 1763/3000 [13:08<09:00,  2.29it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1764/3000:  59%|█████▉    | 1764/3000 [13:08<09:34,  2.15it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1764/3000:  59%|█████▉    | 1764/3000 [13:08<09:34,  2.15it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1765/3000:  59%|█████▉    | 1764/3000 [13:08<09:34,  2.15it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1765/3000:  59%|█████▉    | 1765/3000 [13:09<08:55,  2.31it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1765/3000:  59%|█████▉    | 1765/3000 [13:09<08:55,  2.31it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1766/3000:  59%|█████▉    | 1765/3000 [13:09<08:55,  2.31it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1766/3000:  59%|█████▉    | 1766/3000 [13:09<09:22,  2.19it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.16e+6]Epoch 1766/3000:  59%|█████▉    | 1766/3000 [13:09<09:22,  2.19it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1767/3000:  59%|█████▉    | 1766/3000 [13:09<09:22,  2.19it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1767/3000:  59%|█████▉    | 1767/3000 [13:10<10:02,  2.04it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.16e+6]Epoch 1767/3000:  59%|█████▉    | 1767/3000 [13:10<10:02,  2.04it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1768/3000:  59%|█████▉    | 1767/3000 [13:10<10:02,  2.04it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1768/3000:  59%|█████▉    | 1768/3000 [13:10<09:49,  2.09it/s, v_num=1, train_loss_step=1.19e+6, train_loss_epoch=1.16e+6]Epoch 1768/3000:  59%|█████▉    | 1768/3000 [13:10<09:49,  2.09it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1769/3000:  59%|█████▉    | 1768/3000 [13:10<09:49,  2.09it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1769/3000:  59%|█████▉    | 1769/3000 [13:11<09:59,  2.05it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.16e+6]Epoch 1769/3000:  59%|█████▉    | 1769/3000 [13:11<09:59,  2.05it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1770/3000:  59%|█████▉    | 1769/3000 [13:11<09:59,  2.05it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1770/3000:  59%|█████▉    | 1770/3000 [13:11<10:13,  2.01it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1770/3000:  59%|█████▉    | 1770/3000 [13:11<10:13,  2.01it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1771/3000:  59%|█████▉    | 1770/3000 [13:11<10:13,  2.01it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1771/3000:  59%|█████▉    | 1771/3000 [13:12<10:04,  2.03it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1771/3000:  59%|█████▉    | 1771/3000 [13:12<10:04,  2.03it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1772/3000:  59%|█████▉    | 1771/3000 [13:12<10:04,  2.03it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1772/3000:  59%|█████▉    | 1772/3000 [13:12<10:10,  2.01it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1772/3000:  59%|█████▉    | 1772/3000 [13:12<10:10,  2.01it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1773/3000:  59%|█████▉    | 1772/3000 [13:12<10:10,  2.01it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1773/3000:  59%|█████▉    | 1773/3000 [13:13<10:14,  2.00it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1773/3000:  59%|█████▉    | 1773/3000 [13:13<10:14,  2.00it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1774/3000:  59%|█████▉    | 1773/3000 [13:13<10:14,  2.00it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1774/3000:  59%|█████▉    | 1774/3000 [13:13<08:39,  2.36it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1774/3000:  59%|█████▉    | 1774/3000 [13:13<08:39,  2.36it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1775/3000:  59%|█████▉    | 1774/3000 [13:13<08:39,  2.36it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1775/3000:  59%|█████▉    | 1775/3000 [13:13<08:49,  2.31it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1775/3000:  59%|█████▉    | 1775/3000 [13:13<08:49,  2.31it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1776/3000:  59%|█████▉    | 1775/3000 [13:13<08:49,  2.31it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1776/3000:  59%|█████▉    | 1776/3000 [13:14<08:12,  2.48it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1776/3000:  59%|█████▉    | 1776/3000 [13:14<08:12,  2.48it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1777/3000:  59%|█████▉    | 1776/3000 [13:14<08:12,  2.48it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1777/3000:  59%|█████▉    | 1777/3000 [13:14<08:16,  2.46it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1777/3000:  59%|█████▉    | 1777/3000 [13:14<08:16,  2.46it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1778/3000:  59%|█████▉    | 1777/3000 [13:14<08:16,  2.46it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1778/3000:  59%|█████▉    | 1778/3000 [13:14<08:19,  2.45it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1778/3000:  59%|█████▉    | 1778/3000 [13:14<08:19,  2.45it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1779/3000:  59%|█████▉    | 1778/3000 [13:14<08:19,  2.45it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1779/3000:  59%|█████▉    | 1779/3000 [13:15<08:02,  2.53it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1779/3000:  59%|█████▉    | 1779/3000 [13:15<08:02,  2.53it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1780/3000:  59%|█████▉    | 1779/3000 [13:15<08:02,  2.53it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1780/3000:  59%|█████▉    | 1780/3000 [13:15<08:13,  2.47it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1780/3000:  59%|█████▉    | 1780/3000 [13:15<08:13,  2.47it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.15e+6]Epoch 1781/3000:  59%|█████▉    | 1780/3000 [13:15<08:13,  2.47it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.15e+6]Epoch 1781/3000:  59%|█████▉    | 1781/3000 [13:16<09:04,  2.24it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.15e+6]Epoch 1781/3000:  59%|█████▉    | 1781/3000 [13:16<09:04,  2.24it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1782/3000:  59%|█████▉    | 1781/3000 [13:16<09:04,  2.24it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1782/3000:  59%|█████▉    | 1782/3000 [13:16<09:31,  2.13it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1782/3000:  59%|█████▉    | 1782/3000 [13:16<09:31,  2.13it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1783/3000:  59%|█████▉    | 1782/3000 [13:16<09:31,  2.13it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1783/3000:  59%|█████▉    | 1783/3000 [13:17<09:03,  2.24it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1783/3000:  59%|█████▉    | 1783/3000 [13:17<09:03,  2.24it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1784/3000:  59%|█████▉    | 1783/3000 [13:17<09:03,  2.24it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1784/3000:  59%|█████▉    | 1784/3000 [13:17<09:36,  2.11it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1784/3000:  59%|█████▉    | 1784/3000 [13:17<09:36,  2.11it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1785/3000:  59%|█████▉    | 1784/3000 [13:17<09:36,  2.11it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1785/3000:  60%|█████▉    | 1785/3000 [13:18<10:05,  2.01it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1785/3000:  60%|█████▉    | 1785/3000 [13:18<10:05,  2.01it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1786/3000:  60%|█████▉    | 1785/3000 [13:18<10:05,  2.01it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1786/3000:  60%|█████▉    | 1786/3000 [13:18<09:34,  2.11it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1786/3000:  60%|█████▉    | 1786/3000 [13:18<09:34,  2.11it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1787/3000:  60%|█████▉    | 1786/3000 [13:18<09:34,  2.11it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1787/3000:  60%|█████▉    | 1787/3000 [13:19<09:07,  2.22it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1787/3000:  60%|█████▉    | 1787/3000 [13:19<09:07,  2.22it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1788/3000:  60%|█████▉    | 1787/3000 [13:19<09:07,  2.22it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1788/3000:  60%|█████▉    | 1788/3000 [13:19<08:09,  2.48it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1788/3000:  60%|█████▉    | 1788/3000 [13:19<08:09,  2.48it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1789/3000:  60%|█████▉    | 1788/3000 [13:19<08:09,  2.48it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1789/3000:  60%|█████▉    | 1789/3000 [13:19<08:09,  2.47it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1789/3000:  60%|█████▉    | 1789/3000 [13:19<08:09,  2.47it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1790/3000:  60%|█████▉    | 1789/3000 [13:19<08:09,  2.47it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1790/3000:  60%|█████▉    | 1790/3000 [13:20<09:42,  2.08it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1790/3000:  60%|█████▉    | 1790/3000 [13:20<09:42,  2.08it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1791/3000:  60%|█████▉    | 1790/3000 [13:20<09:42,  2.08it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1791/3000:  60%|█████▉    | 1791/3000 [13:20<09:14,  2.18it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1791/3000:  60%|█████▉    | 1791/3000 [13:20<09:14,  2.18it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1792/3000:  60%|█████▉    | 1791/3000 [13:20<09:14,  2.18it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1792/3000:  60%|█████▉    | 1792/3000 [13:21<09:06,  2.21it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1792/3000:  60%|█████▉    | 1792/3000 [13:21<09:06,  2.21it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1793/3000:  60%|█████▉    | 1792/3000 [13:21<09:06,  2.21it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1793/3000:  60%|█████▉    | 1793/3000 [13:21<07:55,  2.54it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1793/3000:  60%|█████▉    | 1793/3000 [13:21<07:55,  2.54it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1794/3000:  60%|█████▉    | 1793/3000 [13:21<07:55,  2.54it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1794/3000:  60%|█████▉    | 1794/3000 [13:21<07:19,  2.74it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1794/3000:  60%|█████▉    | 1794/3000 [13:21<07:19,  2.74it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1795/3000:  60%|█████▉    | 1794/3000 [13:21<07:19,  2.74it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1795/3000:  60%|█████▉    | 1795/3000 [13:22<07:14,  2.77it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1795/3000:  60%|█████▉    | 1795/3000 [13:22<07:14,  2.77it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1796/3000:  60%|█████▉    | 1795/3000 [13:22<07:14,  2.77it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1796/3000:  60%|█████▉    | 1796/3000 [13:22<09:04,  2.21it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1796/3000:  60%|█████▉    | 1796/3000 [13:22<09:04,  2.21it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1797/3000:  60%|█████▉    | 1796/3000 [13:22<09:04,  2.21it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1797/3000:  60%|█████▉    | 1797/3000 [13:23<09:23,  2.13it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1797/3000:  60%|█████▉    | 1797/3000 [13:23<09:23,  2.13it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1798/3000:  60%|█████▉    | 1797/3000 [13:23<09:23,  2.13it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1798/3000:  60%|█████▉    | 1798/3000 [13:23<09:34,  2.09it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.15e+6]Epoch 1798/3000:  60%|█████▉    | 1798/3000 [13:23<09:34,  2.09it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1799/3000:  60%|█████▉    | 1798/3000 [13:23<09:34,  2.09it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1799/3000:  60%|█████▉    | 1799/3000 [13:24<09:43,  2.06it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1799/3000:  60%|█████▉    | 1799/3000 [13:24<09:43,  2.06it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1800/3000:  60%|█████▉    | 1799/3000 [13:24<09:43,  2.06it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1800/3000:  60%|██████    | 1800/3000 [13:24<09:49,  2.04it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1800/3000:  60%|██████    | 1800/3000 [13:24<09:49,  2.04it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1801/3000:  60%|██████    | 1800/3000 [13:24<09:49,  2.04it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1801/3000:  60%|██████    | 1801/3000 [13:25<09:16,  2.16it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1801/3000:  60%|██████    | 1801/3000 [13:25<09:16,  2.16it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.15e+6]Epoch 1802/3000:  60%|██████    | 1801/3000 [13:25<09:16,  2.16it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.15e+6]Epoch 1802/3000:  60%|██████    | 1802/3000 [13:25<09:49,  2.03it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.15e+6]Epoch 1802/3000:  60%|██████    | 1802/3000 [13:25<09:49,  2.03it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.15e+6]Epoch 1803/3000:  60%|██████    | 1802/3000 [13:25<09:49,  2.03it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.15e+6]Epoch 1803/3000:  60%|██████    | 1803/3000 [13:26<10:58,  1.82it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.15e+6]Epoch 1803/3000:  60%|██████    | 1803/3000 [13:26<10:58,  1.82it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.15e+6]Epoch 1804/3000:  60%|██████    | 1803/3000 [13:26<10:58,  1.82it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.15e+6]Epoch 1804/3000:  60%|██████    | 1804/3000 [13:27<10:32,  1.89it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.15e+6]Epoch 1804/3000:  60%|██████    | 1804/3000 [13:27<10:32,  1.89it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1805/3000:  60%|██████    | 1804/3000 [13:27<10:32,  1.89it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1805/3000:  60%|██████    | 1805/3000 [13:27<09:49,  2.03it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1805/3000:  60%|██████    | 1805/3000 [13:27<09:49,  2.03it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.15e+6]Epoch 1806/3000:  60%|██████    | 1805/3000 [13:27<09:49,  2.03it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.15e+6]Epoch 1806/3000:  60%|██████    | 1806/3000 [13:27<09:20,  2.13it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.15e+6]Epoch 1806/3000:  60%|██████    | 1806/3000 [13:27<09:20,  2.13it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.15e+6]Epoch 1807/3000:  60%|██████    | 1806/3000 [13:27<09:20,  2.13it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.15e+6]Epoch 1807/3000:  60%|██████    | 1807/3000 [13:28<10:23,  1.91it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.15e+6]Epoch 1807/3000:  60%|██████    | 1807/3000 [13:28<10:23,  1.91it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.15e+6]Epoch 1808/3000:  60%|██████    | 1807/3000 [13:28<10:23,  1.91it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.15e+6]Epoch 1808/3000:  60%|██████    | 1808/3000 [13:28<09:59,  1.99it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.15e+6]Epoch 1808/3000:  60%|██████    | 1808/3000 [13:28<09:59,  1.99it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1809/3000:  60%|██████    | 1808/3000 [13:28<09:59,  1.99it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1809/3000:  60%|██████    | 1809/3000 [13:29<09:48,  2.02it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1809/3000:  60%|██████    | 1809/3000 [13:29<09:48,  2.02it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1810/3000:  60%|██████    | 1809/3000 [13:29<09:48,  2.02it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1810/3000:  60%|██████    | 1810/3000 [13:29<08:32,  2.32it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.15e+6]Epoch 1810/3000:  60%|██████    | 1810/3000 [13:29<08:32,  2.32it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.15e+6]Epoch 1811/3000:  60%|██████    | 1810/3000 [13:29<08:32,  2.32it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.15e+6]Epoch 1811/3000:  60%|██████    | 1811/3000 [13:30<08:38,  2.29it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.15e+6]Epoch 1811/3000:  60%|██████    | 1811/3000 [13:30<08:38,  2.29it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1812/3000:  60%|██████    | 1811/3000 [13:30<08:38,  2.29it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1812/3000:  60%|██████    | 1812/3000 [13:30<08:25,  2.35it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1812/3000:  60%|██████    | 1812/3000 [13:30<08:25,  2.35it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1813/3000:  60%|██████    | 1812/3000 [13:30<08:25,  2.35it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1813/3000:  60%|██████    | 1813/3000 [13:31<08:55,  2.22it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.15e+6]Epoch 1813/3000:  60%|██████    | 1813/3000 [13:31<08:55,  2.22it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1814/3000:  60%|██████    | 1813/3000 [13:31<08:55,  2.22it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1814/3000:  60%|██████    | 1814/3000 [13:31<09:49,  2.01it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.15e+6]Epoch 1814/3000:  60%|██████    | 1814/3000 [13:31<09:49,  2.01it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.15e+6]Epoch 1815/3000:  60%|██████    | 1814/3000 [13:31<09:49,  2.01it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.15e+6]Epoch 1815/3000:  60%|██████    | 1815/3000 [13:32<10:09,  1.94it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.15e+6]Epoch 1815/3000:  60%|██████    | 1815/3000 [13:32<10:09,  1.94it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1816/3000:  60%|██████    | 1815/3000 [13:32<10:09,  1.94it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1816/3000:  61%|██████    | 1816/3000 [13:32<09:15,  2.13it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1816/3000:  61%|██████    | 1816/3000 [13:32<09:15,  2.13it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1817/3000:  61%|██████    | 1816/3000 [13:32<09:15,  2.13it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1817/3000:  61%|██████    | 1817/3000 [13:32<07:40,  2.57it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1817/3000:  61%|██████    | 1817/3000 [13:32<07:40,  2.57it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1818/3000:  61%|██████    | 1817/3000 [13:32<07:40,  2.57it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1818/3000:  61%|██████    | 1818/3000 [13:33<07:51,  2.51it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1818/3000:  61%|██████    | 1818/3000 [13:33<07:51,  2.51it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1819/3000:  61%|██████    | 1818/3000 [13:33<07:51,  2.51it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1819/3000:  61%|██████    | 1819/3000 [13:33<08:46,  2.24it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1819/3000:  61%|██████    | 1819/3000 [13:33<08:46,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.14e+6]Epoch 1820/3000:  61%|██████    | 1819/3000 [13:33<08:46,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.14e+6]Epoch 1820/3000:  61%|██████    | 1820/3000 [13:34<08:17,  2.37it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.14e+6]Epoch 1820/3000:  61%|██████    | 1820/3000 [13:34<08:17,  2.37it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1821/3000:  61%|██████    | 1820/3000 [13:34<08:17,  2.37it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1821/3000:  61%|██████    | 1821/3000 [13:34<07:45,  2.53it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1821/3000:  61%|██████    | 1821/3000 [13:34<07:45,  2.53it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.14e+6]Epoch 1822/3000:  61%|██████    | 1821/3000 [13:34<07:45,  2.53it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.14e+6]Epoch 1822/3000:  61%|██████    | 1822/3000 [13:34<07:20,  2.67it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.14e+6]Epoch 1822/3000:  61%|██████    | 1822/3000 [13:34<07:20,  2.67it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1823/3000:  61%|██████    | 1822/3000 [13:34<07:20,  2.67it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1823/3000:  61%|██████    | 1823/3000 [13:35<07:14,  2.71it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1823/3000:  61%|██████    | 1823/3000 [13:35<07:14,  2.71it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1824/3000:  61%|██████    | 1823/3000 [13:35<07:14,  2.71it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1824/3000:  61%|██████    | 1824/3000 [13:35<07:40,  2.55it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1824/3000:  61%|██████    | 1824/3000 [13:35<07:40,  2.55it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.14e+6]Epoch 1825/3000:  61%|██████    | 1824/3000 [13:35<07:40,  2.55it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.14e+6]Epoch 1825/3000:  61%|██████    | 1825/3000 [13:36<08:23,  2.33it/s, v_num=1, train_loss_step=1.18e+6, train_loss_epoch=1.14e+6]Epoch 1825/3000:  61%|██████    | 1825/3000 [13:36<08:23,  2.33it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1826/3000:  61%|██████    | 1825/3000 [13:36<08:23,  2.33it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1826/3000:  61%|██████    | 1826/3000 [13:36<09:21,  2.09it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1826/3000:  61%|██████    | 1826/3000 [13:36<09:21,  2.09it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1827/3000:  61%|██████    | 1826/3000 [13:36<09:21,  2.09it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1827/3000:  61%|██████    | 1827/3000 [13:37<09:21,  2.09it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1827/3000:  61%|██████    | 1827/3000 [13:37<09:21,  2.09it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1828/3000:  61%|██████    | 1827/3000 [13:37<09:21,  2.09it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1828/3000:  61%|██████    | 1828/3000 [13:37<09:32,  2.05it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1828/3000:  61%|██████    | 1828/3000 [13:37<09:32,  2.05it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.14e+6]Epoch 1829/3000:  61%|██████    | 1828/3000 [13:37<09:32,  2.05it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.14e+6]Epoch 1829/3000:  61%|██████    | 1829/3000 [13:38<09:32,  2.05it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.14e+6]Epoch 1829/3000:  61%|██████    | 1829/3000 [13:38<09:32,  2.05it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1830/3000:  61%|██████    | 1829/3000 [13:38<09:32,  2.05it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1830/3000:  61%|██████    | 1830/3000 [13:38<09:55,  1.97it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1830/3000:  61%|██████    | 1830/3000 [13:38<09:55,  1.97it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1831/3000:  61%|██████    | 1830/3000 [13:38<09:55,  1.97it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1831/3000:  61%|██████    | 1831/3000 [13:39<10:25,  1.87it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1831/3000:  61%|██████    | 1831/3000 [13:39<10:25,  1.87it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1832/3000:  61%|██████    | 1831/3000 [13:39<10:25,  1.87it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1832/3000:  61%|██████    | 1832/3000 [13:39<09:10,  2.12it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1832/3000:  61%|██████    | 1832/3000 [13:39<09:10,  2.12it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1833/3000:  61%|██████    | 1832/3000 [13:39<09:10,  2.12it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1833/3000:  61%|██████    | 1833/3000 [13:40<08:47,  2.21it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1833/3000:  61%|██████    | 1833/3000 [13:40<08:47,  2.21it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1834/3000:  61%|██████    | 1833/3000 [13:40<08:47,  2.21it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1834/3000:  61%|██████    | 1834/3000 [13:40<09:02,  2.15it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1834/3000:  61%|██████    | 1834/3000 [13:40<09:02,  2.15it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1835/3000:  61%|██████    | 1834/3000 [13:40<09:02,  2.15it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1835/3000:  61%|██████    | 1835/3000 [13:40<08:40,  2.24it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1835/3000:  61%|██████    | 1835/3000 [13:40<08:40,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.14e+6]Epoch 1836/3000:  61%|██████    | 1835/3000 [13:40<08:40,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.14e+6]Epoch 1836/3000:  61%|██████    | 1836/3000 [13:41<08:41,  2.23it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.14e+6]Epoch 1836/3000:  61%|██████    | 1836/3000 [13:41<08:41,  2.23it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1837/3000:  61%|██████    | 1836/3000 [13:41<08:41,  2.23it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1837/3000:  61%|██████    | 1837/3000 [13:41<08:20,  2.32it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1837/3000:  61%|██████    | 1837/3000 [13:41<08:20,  2.32it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1838/3000:  61%|██████    | 1837/3000 [13:41<08:20,  2.32it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1838/3000:  61%|██████▏   | 1838/3000 [13:42<08:25,  2.30it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1838/3000:  61%|██████▏   | 1838/3000 [13:42<08:25,  2.30it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1839/3000:  61%|██████▏   | 1838/3000 [13:42<08:25,  2.30it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1839/3000:  61%|██████▏   | 1839/3000 [13:42<08:59,  2.15it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1839/3000:  61%|██████▏   | 1839/3000 [13:42<08:59,  2.15it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.14e+6]Epoch 1840/3000:  61%|██████▏   | 1839/3000 [13:42<08:59,  2.15it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.14e+6]Epoch 1840/3000:  61%|██████▏   | 1840/3000 [13:43<09:20,  2.07it/s, v_num=1, train_loss_step=1.17e+6, train_loss_epoch=1.14e+6]Epoch 1840/3000:  61%|██████▏   | 1840/3000 [13:43<09:20,  2.07it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1841/3000:  61%|██████▏   | 1840/3000 [13:43<09:20,  2.07it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1841/3000:  61%|██████▏   | 1841/3000 [13:43<10:06,  1.91it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1841/3000:  61%|██████▏   | 1841/3000 [13:43<10:06,  1.91it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1842/3000:  61%|██████▏   | 1841/3000 [13:43<10:06,  1.91it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1842/3000:  61%|██████▏   | 1842/3000 [13:44<10:21,  1.86it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1842/3000:  61%|██████▏   | 1842/3000 [13:44<10:21,  1.86it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1843/3000:  61%|██████▏   | 1842/3000 [13:44<10:21,  1.86it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1843/3000:  61%|██████▏   | 1843/3000 [13:44<09:38,  2.00it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1843/3000:  61%|██████▏   | 1843/3000 [13:44<09:38,  2.00it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1844/3000:  61%|██████▏   | 1843/3000 [13:44<09:38,  2.00it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1844/3000:  61%|██████▏   | 1844/3000 [13:45<08:53,  2.17it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1844/3000:  61%|██████▏   | 1844/3000 [13:45<08:53,  2.17it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.14e+6]Epoch 1845/3000:  61%|██████▏   | 1844/3000 [13:45<08:53,  2.17it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.14e+6]Epoch 1845/3000:  62%|██████▏   | 1845/3000 [13:45<08:32,  2.26it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.14e+6]Epoch 1845/3000:  62%|██████▏   | 1845/3000 [13:45<08:32,  2.26it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1846/3000:  62%|██████▏   | 1845/3000 [13:45<08:32,  2.26it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1846/3000:  62%|██████▏   | 1846/3000 [13:46<07:51,  2.45it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1846/3000:  62%|██████▏   | 1846/3000 [13:46<07:51,  2.45it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1847/3000:  62%|██████▏   | 1846/3000 [13:46<07:51,  2.45it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1847/3000:  62%|██████▏   | 1847/3000 [13:46<07:43,  2.49it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1847/3000:  62%|██████▏   | 1847/3000 [13:46<07:43,  2.49it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1848/3000:  62%|██████▏   | 1847/3000 [13:46<07:43,  2.49it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1848/3000:  62%|██████▏   | 1848/3000 [13:46<08:02,  2.39it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1848/3000:  62%|██████▏   | 1848/3000 [13:46<08:02,  2.39it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1849/3000:  62%|██████▏   | 1848/3000 [13:46<08:02,  2.39it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1849/3000:  62%|██████▏   | 1849/3000 [13:47<07:55,  2.42it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1849/3000:  62%|██████▏   | 1849/3000 [13:47<07:55,  2.42it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.14e+6]Epoch 1850/3000:  62%|██████▏   | 1849/3000 [13:47<07:55,  2.42it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.14e+6]Epoch 1850/3000:  62%|██████▏   | 1850/3000 [13:47<08:28,  2.26it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.14e+6]Epoch 1850/3000:  62%|██████▏   | 1850/3000 [13:47<08:28,  2.26it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1851/3000:  62%|██████▏   | 1850/3000 [13:47<08:28,  2.26it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1851/3000:  62%|██████▏   | 1851/3000 [13:48<08:06,  2.36it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1851/3000:  62%|██████▏   | 1851/3000 [13:48<08:06,  2.36it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1852/3000:  62%|██████▏   | 1851/3000 [13:48<08:06,  2.36it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1852/3000:  62%|██████▏   | 1852/3000 [13:48<08:15,  2.32it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.14e+6]Epoch 1852/3000:  62%|██████▏   | 1852/3000 [13:48<08:15,  2.32it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1853/3000:  62%|██████▏   | 1852/3000 [13:48<08:15,  2.32it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1853/3000:  62%|██████▏   | 1853/3000 [13:49<09:13,  2.07it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1853/3000:  62%|██████▏   | 1853/3000 [13:49<09:13,  2.07it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1854/3000:  62%|██████▏   | 1853/3000 [13:49<09:13,  2.07it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1854/3000:  62%|██████▏   | 1854/3000 [13:49<08:21,  2.29it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1854/3000:  62%|██████▏   | 1854/3000 [13:49<08:21,  2.29it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1855/3000:  62%|██████▏   | 1854/3000 [13:49<08:21,  2.29it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1855/3000:  62%|██████▏   | 1855/3000 [13:50<08:57,  2.13it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1855/3000:  62%|██████▏   | 1855/3000 [13:50<08:57,  2.13it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1856/3000:  62%|██████▏   | 1855/3000 [13:50<08:57,  2.13it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1856/3000:  62%|██████▏   | 1856/3000 [13:50<09:33,  1.99it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1856/3000:  62%|██████▏   | 1856/3000 [13:50<09:33,  1.99it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1857/3000:  62%|██████▏   | 1856/3000 [13:50<09:33,  1.99it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1857/3000:  62%|██████▏   | 1857/3000 [13:51<10:28,  1.82it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1857/3000:  62%|██████▏   | 1857/3000 [13:51<10:28,  1.82it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1858/3000:  62%|██████▏   | 1857/3000 [13:51<10:28,  1.82it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1858/3000:  62%|██████▏   | 1858/3000 [13:51<10:31,  1.81it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1858/3000:  62%|██████▏   | 1858/3000 [13:51<10:31,  1.81it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1859/3000:  62%|██████▏   | 1858/3000 [13:51<10:31,  1.81it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1859/3000:  62%|██████▏   | 1859/3000 [13:52<10:00,  1.90it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1859/3000:  62%|██████▏   | 1859/3000 [13:52<10:00,  1.90it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1860/3000:  62%|██████▏   | 1859/3000 [13:52<10:00,  1.90it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1860/3000:  62%|██████▏   | 1860/3000 [13:52<09:38,  1.97it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.14e+6]Epoch 1860/3000:  62%|██████▏   | 1860/3000 [13:52<09:38,  1.97it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1861/3000:  62%|██████▏   | 1860/3000 [13:52<09:38,  1.97it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1861/3000:  62%|██████▏   | 1861/3000 [13:53<08:20,  2.28it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.14e+6]Epoch 1861/3000:  62%|██████▏   | 1861/3000 [13:53<08:20,  2.28it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1862/3000:  62%|██████▏   | 1861/3000 [13:53<08:20,  2.28it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1862/3000:  62%|██████▏   | 1862/3000 [13:53<08:06,  2.34it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1862/3000:  62%|██████▏   | 1862/3000 [13:53<08:06,  2.34it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1863/3000:  62%|██████▏   | 1862/3000 [13:53<08:06,  2.34it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1863/3000:  62%|██████▏   | 1863/3000 [13:53<07:38,  2.48it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.14e+6]Epoch 1863/3000:  62%|██████▏   | 1863/3000 [13:53<07:38,  2.48it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1864/3000:  62%|██████▏   | 1863/3000 [13:53<07:38,  2.48it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1864/3000:  62%|██████▏   | 1864/3000 [13:54<07:37,  2.48it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.14e+6]Epoch 1864/3000:  62%|██████▏   | 1864/3000 [13:54<07:37,  2.48it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1865/3000:  62%|██████▏   | 1864/3000 [13:54<07:37,  2.48it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1865/3000:  62%|██████▏   | 1865/3000 [13:54<07:50,  2.41it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1865/3000:  62%|██████▏   | 1865/3000 [13:54<07:50,  2.41it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1866/3000:  62%|██████▏   | 1865/3000 [13:54<07:50,  2.41it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1866/3000:  62%|██████▏   | 1866/3000 [13:55<08:49,  2.14it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1866/3000:  62%|██████▏   | 1866/3000 [13:55<08:49,  2.14it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1867/3000:  62%|██████▏   | 1866/3000 [13:55<08:49,  2.14it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1867/3000:  62%|██████▏   | 1867/3000 [13:55<09:10,  2.06it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1867/3000:  62%|██████▏   | 1867/3000 [13:55<09:10,  2.06it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1868/3000:  62%|██████▏   | 1867/3000 [13:55<09:10,  2.06it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1868/3000:  62%|██████▏   | 1868/3000 [13:56<09:24,  2.01it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1868/3000:  62%|██████▏   | 1868/3000 [13:56<09:24,  2.01it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1869/3000:  62%|██████▏   | 1868/3000 [13:56<09:24,  2.01it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1869/3000:  62%|██████▏   | 1869/3000 [13:56<08:56,  2.11it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1869/3000:  62%|██████▏   | 1869/3000 [13:56<08:56,  2.11it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1870/3000:  62%|██████▏   | 1869/3000 [13:56<08:56,  2.11it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1870/3000:  62%|██████▏   | 1870/3000 [13:57<07:57,  2.37it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1870/3000:  62%|██████▏   | 1870/3000 [13:57<07:57,  2.37it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1871/3000:  62%|██████▏   | 1870/3000 [13:57<07:57,  2.37it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1871/3000:  62%|██████▏   | 1871/3000 [13:57<06:31,  2.88it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1871/3000:  62%|██████▏   | 1871/3000 [13:57<06:31,  2.88it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1872/3000:  62%|██████▏   | 1871/3000 [13:57<06:31,  2.88it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1872/3000:  62%|██████▏   | 1872/3000 [13:57<05:55,  3.17it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1872/3000:  62%|██████▏   | 1872/3000 [13:57<05:55,  3.17it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1873/3000:  62%|██████▏   | 1872/3000 [13:57<05:55,  3.17it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1873/3000:  62%|██████▏   | 1873/3000 [13:57<04:51,  3.86it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1873/3000:  62%|██████▏   | 1873/3000 [13:57<04:51,  3.86it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1874/3000:  62%|██████▏   | 1873/3000 [13:57<04:51,  3.86it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1874/3000:  62%|██████▏   | 1874/3000 [13:57<03:59,  4.70it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1874/3000:  62%|██████▏   | 1874/3000 [13:57<03:59,  4.70it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1875/3000:  62%|██████▏   | 1874/3000 [13:57<03:59,  4.70it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1875/3000:  62%|██████▎   | 1875/3000 [13:58<04:52,  3.84it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1875/3000:  62%|██████▎   | 1875/3000 [13:58<04:52,  3.84it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1876/3000:  62%|██████▎   | 1875/3000 [13:58<04:52,  3.84it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1876/3000:  63%|██████▎   | 1876/3000 [13:58<04:53,  3.83it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1876/3000:  63%|██████▎   | 1876/3000 [13:58<04:53,  3.83it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1877/3000:  63%|██████▎   | 1876/3000 [13:58<04:53,  3.83it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1877/3000:  63%|██████▎   | 1877/3000 [13:58<05:45,  3.25it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1877/3000:  63%|██████▎   | 1877/3000 [13:58<05:45,  3.25it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1878/3000:  63%|██████▎   | 1877/3000 [13:58<05:45,  3.25it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1878/3000:  63%|██████▎   | 1878/3000 [13:59<06:51,  2.73it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1878/3000:  63%|██████▎   | 1878/3000 [13:59<06:51,  2.73it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1879/3000:  63%|██████▎   | 1878/3000 [13:59<06:51,  2.73it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1879/3000:  63%|██████▎   | 1879/3000 [13:59<07:53,  2.37it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1879/3000:  63%|██████▎   | 1879/3000 [13:59<07:53,  2.37it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1880/3000:  63%|██████▎   | 1879/3000 [13:59<07:53,  2.37it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1880/3000:  63%|██████▎   | 1880/3000 [14:00<07:14,  2.58it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1880/3000:  63%|██████▎   | 1880/3000 [14:00<07:14,  2.58it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1881/3000:  63%|██████▎   | 1880/3000 [14:00<07:14,  2.58it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1881/3000:  63%|██████▎   | 1881/3000 [14:00<06:32,  2.85it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1881/3000:  63%|██████▎   | 1881/3000 [14:00<06:32,  2.85it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.13e+6] Epoch 1882/3000:  63%|██████▎   | 1881/3000 [14:00<06:32,  2.85it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.13e+6]Epoch 1882/3000:  63%|██████▎   | 1882/3000 [14:00<07:29,  2.49it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.13e+6]Epoch 1882/3000:  63%|██████▎   | 1882/3000 [14:00<07:29,  2.49it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1883/3000:  63%|██████▎   | 1882/3000 [14:00<07:29,  2.49it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1883/3000:  63%|██████▎   | 1883/3000 [14:01<07:57,  2.34it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1883/3000:  63%|██████▎   | 1883/3000 [14:01<07:57,  2.34it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1884/3000:  63%|██████▎   | 1883/3000 [14:01<07:57,  2.34it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1884/3000:  63%|██████▎   | 1884/3000 [14:01<07:48,  2.38it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1884/3000:  63%|██████▎   | 1884/3000 [14:01<07:48,  2.38it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1885/3000:  63%|██████▎   | 1884/3000 [14:01<07:48,  2.38it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1885/3000:  63%|██████▎   | 1885/3000 [14:02<08:51,  2.10it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1885/3000:  63%|██████▎   | 1885/3000 [14:02<08:51,  2.10it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1886/3000:  63%|██████▎   | 1885/3000 [14:02<08:51,  2.10it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1886/3000:  63%|██████▎   | 1886/3000 [14:02<08:18,  2.23it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1886/3000:  63%|██████▎   | 1886/3000 [14:02<08:18,  2.23it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.13e+6] Epoch 1887/3000:  63%|██████▎   | 1886/3000 [14:02<08:18,  2.23it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.13e+6]Epoch 1887/3000:  63%|██████▎   | 1887/3000 [14:03<08:19,  2.23it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.13e+6]Epoch 1887/3000:  63%|██████▎   | 1887/3000 [14:03<08:19,  2.23it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1888/3000:  63%|██████▎   | 1887/3000 [14:03<08:19,  2.23it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1888/3000:  63%|██████▎   | 1888/3000 [14:03<09:00,  2.06it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1888/3000:  63%|██████▎   | 1888/3000 [14:03<09:00,  2.06it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1889/3000:  63%|██████▎   | 1888/3000 [14:03<09:00,  2.06it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1889/3000:  63%|██████▎   | 1889/3000 [14:04<08:48,  2.10it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1889/3000:  63%|██████▎   | 1889/3000 [14:04<08:48,  2.10it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1890/3000:  63%|██████▎   | 1889/3000 [14:04<08:48,  2.10it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1890/3000:  63%|██████▎   | 1890/3000 [14:04<09:08,  2.02it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1890/3000:  63%|██████▎   | 1890/3000 [14:04<09:08,  2.02it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.13e+6]Epoch 1891/3000:  63%|██████▎   | 1890/3000 [14:04<09:08,  2.02it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.13e+6]Epoch 1891/3000:  63%|██████▎   | 1891/3000 [14:05<08:56,  2.07it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.13e+6]Epoch 1891/3000:  63%|██████▎   | 1891/3000 [14:05<08:56,  2.07it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1892/3000:  63%|██████▎   | 1891/3000 [14:05<08:56,  2.07it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1892/3000:  63%|██████▎   | 1892/3000 [14:05<07:52,  2.35it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1892/3000:  63%|██████▎   | 1892/3000 [14:05<07:52,  2.35it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1893/3000:  63%|██████▎   | 1892/3000 [14:05<07:52,  2.35it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1893/3000:  63%|██████▎   | 1893/3000 [14:06<08:38,  2.13it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1893/3000:  63%|██████▎   | 1893/3000 [14:06<08:38,  2.13it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.13e+6]Epoch 1894/3000:  63%|██████▎   | 1893/3000 [14:06<08:38,  2.13it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.13e+6]Epoch 1894/3000:  63%|██████▎   | 1894/3000 [14:06<08:55,  2.06it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.13e+6]Epoch 1894/3000:  63%|██████▎   | 1894/3000 [14:06<08:55,  2.06it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1895/3000:  63%|██████▎   | 1894/3000 [14:06<08:55,  2.06it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1895/3000:  63%|██████▎   | 1895/3000 [14:07<09:13,  2.00it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1895/3000:  63%|██████▎   | 1895/3000 [14:07<09:13,  2.00it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1896/3000:  63%|██████▎   | 1895/3000 [14:07<09:13,  2.00it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1896/3000:  63%|██████▎   | 1896/3000 [14:07<09:23,  1.96it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1896/3000:  63%|██████▎   | 1896/3000 [14:07<09:23,  1.96it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1897/3000:  63%|██████▎   | 1896/3000 [14:07<09:23,  1.96it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1897/3000:  63%|██████▎   | 1897/3000 [14:08<09:31,  1.93it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1897/3000:  63%|██████▎   | 1897/3000 [14:08<09:31,  1.93it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1898/3000:  63%|██████▎   | 1897/3000 [14:08<09:31,  1.93it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1898/3000:  63%|██████▎   | 1898/3000 [14:08<09:00,  2.04it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1898/3000:  63%|██████▎   | 1898/3000 [14:08<09:00,  2.04it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1899/3000:  63%|██████▎   | 1898/3000 [14:08<09:00,  2.04it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1899/3000:  63%|██████▎   | 1899/3000 [14:09<09:38,  1.90it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1899/3000:  63%|██████▎   | 1899/3000 [14:09<09:38,  1.90it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1900/3000:  63%|██████▎   | 1899/3000 [14:09<09:38,  1.90it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1900/3000:  63%|██████▎   | 1900/3000 [14:09<09:16,  1.98it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1900/3000:  63%|██████▎   | 1900/3000 [14:09<09:16,  1.98it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1901/3000:  63%|██████▎   | 1900/3000 [14:09<09:16,  1.98it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1901/3000:  63%|██████▎   | 1901/3000 [14:09<08:00,  2.29it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1901/3000:  63%|██████▎   | 1901/3000 [14:09<08:00,  2.29it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.13e+6]Epoch 1902/3000:  63%|██████▎   | 1901/3000 [14:10<08:00,  2.29it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.13e+6]Epoch 1902/3000:  63%|██████▎   | 1902/3000 [14:10<08:12,  2.23it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.13e+6]Epoch 1902/3000:  63%|██████▎   | 1902/3000 [14:10<08:12,  2.23it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1903/3000:  63%|██████▎   | 1902/3000 [14:10<08:12,  2.23it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1903/3000:  63%|██████▎   | 1903/3000 [14:11<09:00,  2.03it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1903/3000:  63%|██████▎   | 1903/3000 [14:11<09:00,  2.03it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1904/3000:  63%|██████▎   | 1903/3000 [14:11<09:00,  2.03it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1904/3000:  63%|██████▎   | 1904/3000 [14:11<07:37,  2.39it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1904/3000:  63%|██████▎   | 1904/3000 [14:11<07:37,  2.39it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1905/3000:  63%|██████▎   | 1904/3000 [14:11<07:37,  2.39it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1905/3000:  64%|██████▎   | 1905/3000 [14:11<08:18,  2.20it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1905/3000:  64%|██████▎   | 1905/3000 [14:11<08:18,  2.20it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1906/3000:  64%|██████▎   | 1905/3000 [14:11<08:18,  2.20it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1906/3000:  64%|██████▎   | 1906/3000 [14:12<08:06,  2.25it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.13e+6]Epoch 1906/3000:  64%|██████▎   | 1906/3000 [14:12<08:06,  2.25it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1907/3000:  64%|██████▎   | 1906/3000 [14:12<08:06,  2.25it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1907/3000:  64%|██████▎   | 1907/3000 [14:12<07:25,  2.46it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1907/3000:  64%|██████▎   | 1907/3000 [14:12<07:25,  2.46it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.13e+6]Epoch 1908/3000:  64%|██████▎   | 1907/3000 [14:12<07:25,  2.46it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.13e+6]Epoch 1908/3000:  64%|██████▎   | 1908/3000 [14:12<07:03,  2.58it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.13e+6]Epoch 1908/3000:  64%|██████▎   | 1908/3000 [14:12<07:03,  2.58it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1909/3000:  64%|██████▎   | 1908/3000 [14:12<07:03,  2.58it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1909/3000:  64%|██████▎   | 1909/3000 [14:13<06:56,  2.62it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.13e+6]Epoch 1909/3000:  64%|██████▎   | 1909/3000 [14:13<06:56,  2.62it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1910/3000:  64%|██████▎   | 1909/3000 [14:13<06:56,  2.62it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1910/3000:  64%|██████▎   | 1910/3000 [14:13<07:22,  2.46it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1910/3000:  64%|██████▎   | 1910/3000 [14:13<07:22,  2.46it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1911/3000:  64%|██████▎   | 1910/3000 [14:13<07:22,  2.46it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1911/3000:  64%|██████▎   | 1911/3000 [14:14<08:04,  2.25it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1911/3000:  64%|██████▎   | 1911/3000 [14:14<08:04,  2.25it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.13e+6] Epoch 1912/3000:  64%|██████▎   | 1911/3000 [14:14<08:04,  2.25it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.13e+6]Epoch 1912/3000:  64%|██████▎   | 1912/3000 [14:14<07:52,  2.30it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.13e+6]Epoch 1912/3000:  64%|██████▎   | 1912/3000 [14:14<07:52,  2.30it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1913/3000:  64%|██████▎   | 1912/3000 [14:14<07:52,  2.30it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1913/3000:  64%|██████▍   | 1913/3000 [14:15<08:36,  2.10it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1913/3000:  64%|██████▍   | 1913/3000 [14:15<08:36,  2.10it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1914/3000:  64%|██████▍   | 1913/3000 [14:15<08:36,  2.10it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1914/3000:  64%|██████▍   | 1914/3000 [14:15<08:40,  2.08it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1914/3000:  64%|██████▍   | 1914/3000 [14:15<08:40,  2.08it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1915/3000:  64%|██████▍   | 1914/3000 [14:15<08:40,  2.08it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1915/3000:  64%|██████▍   | 1915/3000 [14:16<09:39,  1.87it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1915/3000:  64%|██████▍   | 1915/3000 [14:16<09:39,  1.87it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1916/3000:  64%|██████▍   | 1915/3000 [14:16<09:39,  1.87it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1916/3000:  64%|██████▍   | 1916/3000 [14:16<09:17,  1.94it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.13e+6]Epoch 1916/3000:  64%|██████▍   | 1916/3000 [14:16<09:17,  1.94it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1917/3000:  64%|██████▍   | 1916/3000 [14:16<09:17,  1.94it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1917/3000:  64%|██████▍   | 1917/3000 [14:17<09:19,  1.93it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.13e+6]Epoch 1917/3000:  64%|██████▍   | 1917/3000 [14:17<09:19,  1.93it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1918/3000:  64%|██████▍   | 1917/3000 [14:17<09:19,  1.93it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1918/3000:  64%|██████▍   | 1918/3000 [14:17<09:08,  1.97it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1918/3000:  64%|██████▍   | 1918/3000 [14:17<09:08,  1.97it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1919/3000:  64%|██████▍   | 1918/3000 [14:17<09:08,  1.97it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1919/3000:  64%|██████▍   | 1919/3000 [14:18<09:05,  1.98it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1919/3000:  64%|██████▍   | 1919/3000 [14:18<09:05,  1.98it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1920/3000:  64%|██████▍   | 1919/3000 [14:18<09:05,  1.98it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1920/3000:  64%|██████▍   | 1920/3000 [14:18<08:37,  2.09it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1920/3000:  64%|██████▍   | 1920/3000 [14:18<08:37,  2.09it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1921/3000:  64%|██████▍   | 1920/3000 [14:18<08:37,  2.09it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1921/3000:  64%|██████▍   | 1921/3000 [14:19<08:14,  2.18it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1921/3000:  64%|██████▍   | 1921/3000 [14:19<08:14,  2.18it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1922/3000:  64%|██████▍   | 1921/3000 [14:19<08:14,  2.18it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1922/3000:  64%|██████▍   | 1922/3000 [14:19<08:14,  2.18it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1922/3000:  64%|██████▍   | 1922/3000 [14:19<08:14,  2.18it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1923/3000:  64%|██████▍   | 1922/3000 [14:19<08:14,  2.18it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1923/3000:  64%|██████▍   | 1923/3000 [14:20<07:50,  2.29it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1923/3000:  64%|██████▍   | 1923/3000 [14:20<07:50,  2.29it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.12e+6] Epoch 1924/3000:  64%|██████▍   | 1923/3000 [14:20<07:50,  2.29it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.12e+6]Epoch 1924/3000:  64%|██████▍   | 1924/3000 [14:20<08:51,  2.03it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.12e+6]Epoch 1924/3000:  64%|██████▍   | 1924/3000 [14:20<08:51,  2.03it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1925/3000:  64%|██████▍   | 1924/3000 [14:20<08:51,  2.03it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1925/3000:  64%|██████▍   | 1925/3000 [14:21<08:55,  2.01it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1925/3000:  64%|██████▍   | 1925/3000 [14:21<08:55,  2.01it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1926/3000:  64%|██████▍   | 1925/3000 [14:21<08:55,  2.01it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1926/3000:  64%|██████▍   | 1926/3000 [14:21<09:01,  1.98it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1926/3000:  64%|██████▍   | 1926/3000 [14:21<09:01,  1.98it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1927/3000:  64%|██████▍   | 1926/3000 [14:21<09:01,  1.98it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1927/3000:  64%|██████▍   | 1927/3000 [14:22<09:18,  1.92it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1927/3000:  64%|██████▍   | 1927/3000 [14:22<09:18,  1.92it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1928/3000:  64%|██████▍   | 1927/3000 [14:22<09:18,  1.92it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1928/3000:  64%|██████▍   | 1928/3000 [14:22<09:42,  1.84it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1928/3000:  64%|██████▍   | 1928/3000 [14:22<09:42,  1.84it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.12e+6]Epoch 1929/3000:  64%|██████▍   | 1928/3000 [14:22<09:42,  1.84it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.12e+6]Epoch 1929/3000:  64%|██████▍   | 1929/3000 [14:23<09:01,  1.98it/s, v_num=1, train_loss_step=1.16e+6, train_loss_epoch=1.12e+6]Epoch 1929/3000:  64%|██████▍   | 1929/3000 [14:23<09:01,  1.98it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1930/3000:  64%|██████▍   | 1929/3000 [14:23<09:01,  1.98it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1930/3000:  64%|██████▍   | 1930/3000 [14:23<09:20,  1.91it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1930/3000:  64%|██████▍   | 1930/3000 [14:23<09:20,  1.91it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1931/3000:  64%|██████▍   | 1930/3000 [14:23<09:20,  1.91it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1931/3000:  64%|██████▍   | 1931/3000 [14:24<07:42,  2.31it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1931/3000:  64%|██████▍   | 1931/3000 [14:24<07:42,  2.31it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1932/3000:  64%|██████▍   | 1931/3000 [14:24<07:42,  2.31it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1932/3000:  64%|██████▍   | 1932/3000 [14:24<08:10,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1932/3000:  64%|██████▍   | 1932/3000 [14:24<08:10,  2.18it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1933/3000:  64%|██████▍   | 1932/3000 [14:24<08:10,  2.18it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1933/3000:  64%|██████▍   | 1933/3000 [14:24<07:43,  2.30it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1933/3000:  64%|██████▍   | 1933/3000 [14:24<07:43,  2.30it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1934/3000:  64%|██████▍   | 1933/3000 [14:25<07:43,  2.30it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1934/3000:  64%|██████▍   | 1934/3000 [14:25<08:08,  2.18it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1934/3000:  64%|██████▍   | 1934/3000 [14:25<08:08,  2.18it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1935/3000:  64%|██████▍   | 1934/3000 [14:25<08:08,  2.18it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1935/3000:  64%|██████▍   | 1935/3000 [14:26<09:03,  1.96it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1935/3000:  64%|██████▍   | 1935/3000 [14:26<09:03,  1.96it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1936/3000:  64%|██████▍   | 1935/3000 [14:26<09:03,  1.96it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1936/3000:  65%|██████▍   | 1936/3000 [14:26<09:07,  1.94it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1936/3000:  65%|██████▍   | 1936/3000 [14:26<09:07,  1.94it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1937/3000:  65%|██████▍   | 1936/3000 [14:26<09:07,  1.94it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1937/3000:  65%|██████▍   | 1937/3000 [14:27<09:32,  1.86it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1937/3000:  65%|██████▍   | 1937/3000 [14:27<09:32,  1.86it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1938/3000:  65%|██████▍   | 1937/3000 [14:27<09:32,  1.86it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1938/3000:  65%|██████▍   | 1938/3000 [14:27<09:52,  1.79it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1938/3000:  65%|██████▍   | 1938/3000 [14:27<09:52,  1.79it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1939/3000:  65%|██████▍   | 1938/3000 [14:27<09:52,  1.79it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1939/3000:  65%|██████▍   | 1939/3000 [14:28<09:05,  1.94it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1939/3000:  65%|██████▍   | 1939/3000 [14:28<09:05,  1.94it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.12e+6]Epoch 1940/3000:  65%|██████▍   | 1939/3000 [14:28<09:05,  1.94it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.12e+6]Epoch 1940/3000:  65%|██████▍   | 1940/3000 [14:28<08:56,  1.98it/s, v_num=1, train_loss_step=1.15e+6, train_loss_epoch=1.12e+6]Epoch 1940/3000:  65%|██████▍   | 1940/3000 [14:28<08:56,  1.98it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1941/3000:  65%|██████▍   | 1940/3000 [14:28<08:56,  1.98it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1941/3000:  65%|██████▍   | 1941/3000 [14:29<08:19,  2.12it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1941/3000:  65%|██████▍   | 1941/3000 [14:29<08:19,  2.12it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1942/3000:  65%|██████▍   | 1941/3000 [14:29<08:19,  2.12it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1942/3000:  65%|██████▍   | 1942/3000 [14:29<08:22,  2.10it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1942/3000:  65%|██████▍   | 1942/3000 [14:29<08:22,  2.10it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1943/3000:  65%|██████▍   | 1942/3000 [14:29<08:22,  2.10it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1943/3000:  65%|██████▍   | 1943/3000 [14:30<08:41,  2.03it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1943/3000:  65%|██████▍   | 1943/3000 [14:30<08:41,  2.03it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1944/3000:  65%|██████▍   | 1943/3000 [14:30<08:41,  2.03it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1944/3000:  65%|██████▍   | 1944/3000 [14:30<09:21,  1.88it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1944/3000:  65%|██████▍   | 1944/3000 [14:30<09:21,  1.88it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1945/3000:  65%|██████▍   | 1944/3000 [14:30<09:21,  1.88it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1945/3000:  65%|██████▍   | 1945/3000 [14:31<08:58,  1.96it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1945/3000:  65%|██████▍   | 1945/3000 [14:31<08:58,  1.96it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1946/3000:  65%|██████▍   | 1945/3000 [14:31<08:58,  1.96it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1946/3000:  65%|██████▍   | 1946/3000 [14:31<08:43,  2.02it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1946/3000:  65%|██████▍   | 1946/3000 [14:31<08:43,  2.02it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1947/3000:  65%|██████▍   | 1946/3000 [14:31<08:43,  2.02it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1947/3000:  65%|██████▍   | 1947/3000 [14:32<09:23,  1.87it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1947/3000:  65%|██████▍   | 1947/3000 [14:32<09:23,  1.87it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1948/3000:  65%|██████▍   | 1947/3000 [14:32<09:23,  1.87it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1948/3000:  65%|██████▍   | 1948/3000 [14:32<08:47,  1.99it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1948/3000:  65%|██████▍   | 1948/3000 [14:32<08:47,  1.99it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1949/3000:  65%|██████▍   | 1948/3000 [14:32<08:47,  1.99it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1949/3000:  65%|██████▍   | 1949/3000 [14:33<08:33,  2.05it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1949/3000:  65%|██████▍   | 1949/3000 [14:33<08:33,  2.05it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1950/3000:  65%|██████▍   | 1949/3000 [14:33<08:33,  2.05it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1950/3000:  65%|██████▌   | 1950/3000 [14:33<08:26,  2.07it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1950/3000:  65%|██████▌   | 1950/3000 [14:33<08:26,  2.07it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1951/3000:  65%|██████▌   | 1950/3000 [14:33<08:26,  2.07it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1951/3000:  65%|██████▌   | 1951/3000 [14:34<08:22,  2.09it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1951/3000:  65%|██████▌   | 1951/3000 [14:34<08:22,  2.09it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1952/3000:  65%|██████▌   | 1951/3000 [14:34<08:22,  2.09it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1952/3000:  65%|██████▌   | 1952/3000 [14:34<07:58,  2.19it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1952/3000:  65%|██████▌   | 1952/3000 [14:34<07:58,  2.19it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1953/3000:  65%|██████▌   | 1952/3000 [14:34<07:58,  2.19it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1953/3000:  65%|██████▌   | 1953/3000 [14:35<08:10,  2.14it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1953/3000:  65%|██████▌   | 1953/3000 [14:35<08:10,  2.14it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1954/3000:  65%|██████▌   | 1953/3000 [14:35<08:10,  2.14it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1954/3000:  65%|██████▌   | 1954/3000 [14:35<08:31,  2.04it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1954/3000:  65%|██████▌   | 1954/3000 [14:35<08:31,  2.04it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1955/3000:  65%|██████▌   | 1954/3000 [14:35<08:31,  2.04it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1955/3000:  65%|██████▌   | 1955/3000 [14:36<09:00,  1.93it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1955/3000:  65%|██████▌   | 1955/3000 [14:36<09:00,  1.93it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.12e+6] Epoch 1956/3000:  65%|██████▌   | 1955/3000 [14:36<09:00,  1.93it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.12e+6]Epoch 1956/3000:  65%|██████▌   | 1956/3000 [14:36<09:15,  1.88it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.12e+6]Epoch 1956/3000:  65%|██████▌   | 1956/3000 [14:36<09:15,  1.88it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.12e+6]Epoch 1957/3000:  65%|██████▌   | 1956/3000 [14:36<09:15,  1.88it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.12e+6]Epoch 1957/3000:  65%|██████▌   | 1957/3000 [14:37<09:01,  1.93it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.12e+6]Epoch 1957/3000:  65%|██████▌   | 1957/3000 [14:37<09:01,  1.93it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1958/3000:  65%|██████▌   | 1957/3000 [14:37<09:01,  1.93it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1958/3000:  65%|██████▌   | 1958/3000 [14:37<07:57,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1958/3000:  65%|██████▌   | 1958/3000 [14:37<07:57,  2.18it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1959/3000:  65%|██████▌   | 1958/3000 [14:37<07:57,  2.18it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1959/3000:  65%|██████▌   | 1959/3000 [14:38<08:24,  2.06it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1959/3000:  65%|██████▌   | 1959/3000 [14:38<08:24,  2.06it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1960/3000:  65%|██████▌   | 1959/3000 [14:38<08:24,  2.06it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1960/3000:  65%|██████▌   | 1960/3000 [14:38<07:28,  2.32it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1960/3000:  65%|██████▌   | 1960/3000 [14:38<07:28,  2.32it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1961/3000:  65%|██████▌   | 1960/3000 [14:38<07:28,  2.32it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1961/3000:  65%|██████▌   | 1961/3000 [14:38<07:54,  2.19it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.12e+6]Epoch 1961/3000:  65%|██████▌   | 1961/3000 [14:38<07:54,  2.19it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.12e+6] Epoch 1962/3000:  65%|██████▌   | 1961/3000 [14:38<07:54,  2.19it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.12e+6]Epoch 1962/3000:  65%|██████▌   | 1962/3000 [14:39<08:13,  2.10it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.12e+6]Epoch 1962/3000:  65%|██████▌   | 1962/3000 [14:39<08:13,  2.10it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1963/3000:  65%|██████▌   | 1962/3000 [14:39<08:13,  2.10it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1963/3000:  65%|██████▌   | 1963/3000 [14:39<08:37,  2.00it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1963/3000:  65%|██████▌   | 1963/3000 [14:39<08:37,  2.00it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1964/3000:  65%|██████▌   | 1963/3000 [14:40<08:37,  2.00it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1964/3000:  65%|██████▌   | 1964/3000 [14:40<08:44,  1.97it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1964/3000:  65%|██████▌   | 1964/3000 [14:40<08:44,  1.97it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.12e+6]Epoch 1965/3000:  65%|██████▌   | 1964/3000 [14:40<08:44,  1.97it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.12e+6]Epoch 1965/3000:  66%|██████▌   | 1965/3000 [14:40<08:08,  2.12it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.12e+6]Epoch 1965/3000:  66%|██████▌   | 1965/3000 [14:40<08:08,  2.12it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1966/3000:  66%|██████▌   | 1965/3000 [14:40<08:08,  2.12it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1966/3000:  66%|██████▌   | 1966/3000 [14:41<08:19,  2.07it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1966/3000:  66%|██████▌   | 1966/3000 [14:41<08:19,  2.07it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1967/3000:  66%|██████▌   | 1966/3000 [14:41<08:19,  2.07it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1967/3000:  66%|██████▌   | 1967/3000 [14:41<08:45,  1.97it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1967/3000:  66%|██████▌   | 1967/3000 [14:41<08:45,  1.97it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1968/3000:  66%|██████▌   | 1967/3000 [14:41<08:45,  1.97it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1968/3000:  66%|██████▌   | 1968/3000 [14:42<09:12,  1.87it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1968/3000:  66%|██████▌   | 1968/3000 [14:42<09:12,  1.87it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1969/3000:  66%|██████▌   | 1968/3000 [14:42<09:12,  1.87it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1969/3000:  66%|██████▌   | 1969/3000 [14:43<09:10,  1.87it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1969/3000:  66%|██████▌   | 1969/3000 [14:43<09:10,  1.87it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1970/3000:  66%|██████▌   | 1969/3000 [14:43<09:10,  1.87it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1970/3000:  66%|██████▌   | 1970/3000 [14:43<08:35,  2.00it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.12e+6]Epoch 1970/3000:  66%|██████▌   | 1970/3000 [14:43<08:35,  2.00it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.12e+6]Epoch 1971/3000:  66%|██████▌   | 1970/3000 [14:43<08:35,  2.00it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.12e+6]Epoch 1971/3000:  66%|██████▌   | 1971/3000 [14:44<08:24,  2.04it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.12e+6]Epoch 1971/3000:  66%|██████▌   | 1971/3000 [14:44<08:24,  2.04it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1972/3000:  66%|██████▌   | 1971/3000 [14:44<08:24,  2.04it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1972/3000:  66%|██████▌   | 1972/3000 [14:44<08:39,  1.98it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.12e+6]Epoch 1972/3000:  66%|██████▌   | 1972/3000 [14:44<08:39,  1.98it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1973/3000:  66%|██████▌   | 1972/3000 [14:44<08:39,  1.98it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1973/3000:  66%|██████▌   | 1973/3000 [14:44<07:52,  2.17it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1973/3000:  66%|██████▌   | 1973/3000 [14:44<07:52,  2.17it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1974/3000:  66%|██████▌   | 1973/3000 [14:44<07:52,  2.17it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1974/3000:  66%|██████▌   | 1974/3000 [14:45<08:01,  2.13it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.12e+6]Epoch 1974/3000:  66%|██████▌   | 1974/3000 [14:45<08:01,  2.13it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 1975/3000:  66%|██████▌   | 1974/3000 [14:45<08:01,  2.13it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 1975/3000:  66%|██████▌   | 1975/3000 [14:45<08:15,  2.07it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 1975/3000:  66%|██████▌   | 1975/3000 [14:45<08:15,  2.07it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 1976/3000:  66%|██████▌   | 1975/3000 [14:45<08:15,  2.07it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 1976/3000:  66%|██████▌   | 1976/3000 [14:46<07:00,  2.44it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 1976/3000:  66%|██████▌   | 1976/3000 [14:46<07:00,  2.44it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.11e+6]Epoch 1977/3000:  66%|██████▌   | 1976/3000 [14:46<07:00,  2.44it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.11e+6]Epoch 1977/3000:  66%|██████▌   | 1977/3000 [14:46<06:33,  2.60it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.11e+6]Epoch 1977/3000:  66%|██████▌   | 1977/3000 [14:46<06:33,  2.60it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1978/3000:  66%|██████▌   | 1977/3000 [14:46<06:33,  2.60it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1978/3000:  66%|██████▌   | 1978/3000 [14:46<06:57,  2.45it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1978/3000:  66%|██████▌   | 1978/3000 [14:46<06:57,  2.45it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 1979/3000:  66%|██████▌   | 1978/3000 [14:46<06:57,  2.45it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 1979/3000:  66%|██████▌   | 1979/3000 [14:47<07:41,  2.21it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 1979/3000:  66%|██████▌   | 1979/3000 [14:47<07:41,  2.21it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1980/3000:  66%|██████▌   | 1979/3000 [14:47<07:41,  2.21it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1980/3000:  66%|██████▌   | 1980/3000 [14:48<08:14,  2.06it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1980/3000:  66%|██████▌   | 1980/3000 [14:48<08:14,  2.06it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1981/3000:  66%|██████▌   | 1980/3000 [14:48<08:14,  2.06it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1981/3000:  66%|██████▌   | 1981/3000 [14:48<08:29,  2.00it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1981/3000:  66%|██████▌   | 1981/3000 [14:48<08:29,  2.00it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1982/3000:  66%|██████▌   | 1981/3000 [14:48<08:29,  2.00it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1982/3000:  66%|██████▌   | 1982/3000 [14:49<09:19,  1.82it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1982/3000:  66%|██████▌   | 1982/3000 [14:49<09:19,  1.82it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 1983/3000:  66%|██████▌   | 1982/3000 [14:49<09:19,  1.82it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 1983/3000:  66%|██████▌   | 1983/3000 [14:49<09:26,  1.79it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 1983/3000:  66%|██████▌   | 1983/3000 [14:49<09:26,  1.79it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1984/3000:  66%|██████▌   | 1983/3000 [14:49<09:26,  1.79it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1984/3000:  66%|██████▌   | 1984/3000 [14:50<08:47,  1.93it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1984/3000:  66%|██████▌   | 1984/3000 [14:50<08:47,  1.93it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6] Epoch 1985/3000:  66%|██████▌   | 1984/3000 [14:50<08:47,  1.93it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 1985/3000:  66%|██████▌   | 1985/3000 [14:50<08:08,  2.08it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 1985/3000:  66%|██████▌   | 1985/3000 [14:50<08:08,  2.08it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1986/3000:  66%|██████▌   | 1985/3000 [14:50<08:08,  2.08it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1986/3000:  66%|██████▌   | 1986/3000 [14:51<07:29,  2.25it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1986/3000:  66%|██████▌   | 1986/3000 [14:51<07:29,  2.25it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.11e+6]Epoch 1987/3000:  66%|██████▌   | 1986/3000 [14:51<07:29,  2.25it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.11e+6]Epoch 1987/3000:  66%|██████▌   | 1987/3000 [14:51<07:29,  2.26it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.11e+6]Epoch 1987/3000:  66%|██████▌   | 1987/3000 [14:51<07:29,  2.26it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6] Epoch 1988/3000:  66%|██████▌   | 1987/3000 [14:51<07:29,  2.26it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 1988/3000:  66%|██████▋   | 1988/3000 [14:51<07:32,  2.24it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 1988/3000:  66%|██████▋   | 1988/3000 [14:51<07:32,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1989/3000:  66%|██████▋   | 1988/3000 [14:51<07:32,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1989/3000:  66%|██████▋   | 1989/3000 [14:52<06:51,  2.46it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1989/3000:  66%|██████▋   | 1989/3000 [14:52<06:51,  2.46it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 1990/3000:  66%|██████▋   | 1989/3000 [14:52<06:51,  2.46it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 1990/3000:  66%|██████▋   | 1990/3000 [14:52<07:14,  2.32it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 1990/3000:  66%|██████▋   | 1990/3000 [14:52<07:14,  2.32it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.11e+6]Epoch 1991/3000:  66%|██████▋   | 1990/3000 [14:52<07:14,  2.32it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.11e+6]Epoch 1991/3000:  66%|██████▋   | 1991/3000 [14:53<07:35,  2.21it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.11e+6]Epoch 1991/3000:  66%|██████▋   | 1991/3000 [14:53<07:35,  2.21it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1992/3000:  66%|██████▋   | 1991/3000 [14:53<07:35,  2.21it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1992/3000:  66%|██████▋   | 1992/3000 [14:53<07:30,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1992/3000:  66%|██████▋   | 1992/3000 [14:53<07:30,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1993/3000:  66%|██████▋   | 1992/3000 [14:53<07:30,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1993/3000:  66%|██████▋   | 1993/3000 [14:54<07:28,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1993/3000:  66%|██████▋   | 1993/3000 [14:54<07:28,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1994/3000:  66%|██████▋   | 1993/3000 [14:54<07:28,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1994/3000:  66%|██████▋   | 1994/3000 [14:54<07:42,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1994/3000:  66%|██████▋   | 1994/3000 [14:54<07:42,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1995/3000:  66%|██████▋   | 1994/3000 [14:54<07:42,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1995/3000:  66%|██████▋   | 1995/3000 [14:55<08:29,  1.97it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1995/3000:  66%|██████▋   | 1995/3000 [14:55<08:29,  1.97it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 1996/3000:  66%|██████▋   | 1995/3000 [14:55<08:29,  1.97it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 1996/3000:  67%|██████▋   | 1996/3000 [14:55<08:01,  2.09it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 1996/3000:  67%|██████▋   | 1996/3000 [14:55<08:01,  2.09it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6] Epoch 1997/3000:  67%|██████▋   | 1996/3000 [14:55<08:01,  2.09it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 1997/3000:  67%|██████▋   | 1997/3000 [14:56<07:42,  2.17it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 1997/3000:  67%|██████▋   | 1997/3000 [14:56<07:42,  2.17it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1998/3000:  67%|██████▋   | 1997/3000 [14:56<07:42,  2.17it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1998/3000:  67%|██████▋   | 1998/3000 [14:56<07:31,  2.22it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1998/3000:  67%|██████▋   | 1998/3000 [14:56<07:31,  2.22it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1999/3000:  67%|██████▋   | 1998/3000 [14:56<07:31,  2.22it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1999/3000:  67%|██████▋   | 1999/3000 [14:56<07:45,  2.15it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 1999/3000:  67%|██████▋   | 1999/3000 [14:56<07:45,  2.15it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6] Epoch 2000/3000:  67%|██████▋   | 1999/3000 [14:56<07:45,  2.15it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2000/3000:  67%|██████▋   | 2000/3000 [14:57<08:05,  2.06it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2000/3000:  67%|██████▋   | 2000/3000 [14:57<08:05,  2.06it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.11e+6]Epoch 2001/3000:  67%|██████▋   | 2000/3000 [14:57<08:05,  2.06it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.11e+6]Epoch 2001/3000:  67%|██████▋   | 2001/3000 [14:57<07:29,  2.22it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.11e+6]Epoch 2001/3000:  67%|██████▋   | 2001/3000 [14:57<07:29,  2.22it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2002/3000:  67%|██████▋   | 2001/3000 [14:57<07:29,  2.22it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2002/3000:  67%|██████▋   | 2002/3000 [14:58<07:21,  2.26it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2002/3000:  67%|██████▋   | 2002/3000 [14:58<07:21,  2.26it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6] Epoch 2003/3000:  67%|██████▋   | 2002/3000 [14:58<07:21,  2.26it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2003/3000:  67%|██████▋   | 2003/3000 [14:58<07:46,  2.14it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2003/3000:  67%|██████▋   | 2003/3000 [14:58<07:46,  2.14it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2004/3000:  67%|██████▋   | 2003/3000 [14:58<07:46,  2.14it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2004/3000:  67%|██████▋   | 2004/3000 [14:59<08:14,  2.01it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2004/3000:  67%|██████▋   | 2004/3000 [14:59<08:14,  2.01it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6] Epoch 2005/3000:  67%|██████▋   | 2004/3000 [14:59<08:14,  2.01it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2005/3000:  67%|██████▋   | 2005/3000 [14:59<08:06,  2.05it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2005/3000:  67%|██████▋   | 2005/3000 [14:59<08:06,  2.05it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 2006/3000:  67%|██████▋   | 2005/3000 [14:59<08:06,  2.05it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 2006/3000:  67%|██████▋   | 2006/3000 [15:00<08:32,  1.94it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 2006/3000:  67%|██████▋   | 2006/3000 [15:00<08:32,  1.94it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6] Epoch 2007/3000:  67%|██████▋   | 2006/3000 [15:00<08:32,  1.94it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2007/3000:  67%|██████▋   | 2007/3000 [15:00<07:43,  2.14it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2007/3000:  67%|██████▋   | 2007/3000 [15:00<07:43,  2.14it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2008/3000:  67%|██████▋   | 2007/3000 [15:00<07:43,  2.14it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2008/3000:  67%|██████▋   | 2008/3000 [15:01<08:19,  1.99it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2008/3000:  67%|██████▋   | 2008/3000 [15:01<08:19,  1.99it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 2009/3000:  67%|██████▋   | 2008/3000 [15:01<08:19,  1.99it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 2009/3000:  67%|██████▋   | 2009/3000 [15:01<08:37,  1.92it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.11e+6]Epoch 2009/3000:  67%|██████▋   | 2009/3000 [15:01<08:37,  1.92it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.11e+6]Epoch 2010/3000:  67%|██████▋   | 2009/3000 [15:01<08:37,  1.92it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.11e+6]Epoch 2010/3000:  67%|██████▋   | 2010/3000 [15:02<08:31,  1.93it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.11e+6]Epoch 2010/3000:  67%|██████▋   | 2010/3000 [15:02<08:31,  1.93it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2011/3000:  67%|██████▋   | 2010/3000 [15:02<08:31,  1.93it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2011/3000:  67%|██████▋   | 2011/3000 [15:02<08:04,  2.04it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2011/3000:  67%|██████▋   | 2011/3000 [15:02<08:04,  2.04it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2012/3000:  67%|██████▋   | 2011/3000 [15:02<08:04,  2.04it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2012/3000:  67%|██████▋   | 2012/3000 [15:03<07:27,  2.21it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2012/3000:  67%|██████▋   | 2012/3000 [15:03<07:27,  2.21it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2013/3000:  67%|██████▋   | 2012/3000 [15:03<07:27,  2.21it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2013/3000:  67%|██████▋   | 2013/3000 [15:03<07:51,  2.09it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2013/3000:  67%|██████▋   | 2013/3000 [15:03<07:51,  2.09it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6] Epoch 2014/3000:  67%|██████▋   | 2013/3000 [15:03<07:51,  2.09it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2014/3000:  67%|██████▋   | 2014/3000 [15:04<07:31,  2.18it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2014/3000:  67%|██████▋   | 2014/3000 [15:04<07:31,  2.18it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.11e+6]Epoch 2015/3000:  67%|██████▋   | 2014/3000 [15:04<07:31,  2.18it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.11e+6]Epoch 2015/3000:  67%|██████▋   | 2015/3000 [15:04<07:29,  2.19it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.11e+6]Epoch 2015/3000:  67%|██████▋   | 2015/3000 [15:04<07:29,  2.19it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2016/3000:  67%|██████▋   | 2015/3000 [15:04<07:29,  2.19it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2016/3000:  67%|██████▋   | 2016/3000 [15:05<07:54,  2.07it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2016/3000:  67%|██████▋   | 2016/3000 [15:05<07:54,  2.07it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2017/3000:  67%|██████▋   | 2016/3000 [15:05<07:54,  2.07it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2017/3000:  67%|██████▋   | 2017/3000 [15:05<08:47,  1.86it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2017/3000:  67%|██████▋   | 2017/3000 [15:05<08:47,  1.86it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6] Epoch 2018/3000:  67%|██████▋   | 2017/3000 [15:05<08:47,  1.86it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2018/3000:  67%|██████▋   | 2018/3000 [15:06<08:35,  1.90it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2018/3000:  67%|██████▋   | 2018/3000 [15:06<08:35,  1.90it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2019/3000:  67%|██████▋   | 2018/3000 [15:06<08:35,  1.90it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2019/3000:  67%|██████▋   | 2019/3000 [15:06<07:22,  2.22it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2019/3000:  67%|██████▋   | 2019/3000 [15:06<07:22,  2.22it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2020/3000:  67%|██████▋   | 2019/3000 [15:06<07:22,  2.22it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2020/3000:  67%|██████▋   | 2020/3000 [15:06<07:06,  2.30it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2020/3000:  67%|██████▋   | 2020/3000 [15:07<07:06,  2.30it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.11e+6]Epoch 2021/3000:  67%|██████▋   | 2020/3000 [15:07<07:06,  2.30it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.11e+6]Epoch 2021/3000:  67%|██████▋   | 2021/3000 [15:07<06:40,  2.44it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.11e+6]Epoch 2021/3000:  67%|██████▋   | 2021/3000 [15:07<06:40,  2.44it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2022/3000:  67%|██████▋   | 2021/3000 [15:07<06:40,  2.44it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2022/3000:  67%|██████▋   | 2022/3000 [15:07<05:50,  2.79it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2022/3000:  67%|██████▋   | 2022/3000 [15:07<05:50,  2.79it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2023/3000:  67%|██████▋   | 2022/3000 [15:07<05:50,  2.79it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2023/3000:  67%|██████▋   | 2023/3000 [15:07<05:14,  3.11it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2023/3000:  67%|██████▋   | 2023/3000 [15:07<05:14,  3.11it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2024/3000:  67%|██████▋   | 2023/3000 [15:07<05:14,  3.11it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2024/3000:  67%|██████▋   | 2024/3000 [15:08<06:15,  2.60it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2024/3000:  67%|██████▋   | 2024/3000 [15:08<06:15,  2.60it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2025/3000:  67%|██████▋   | 2024/3000 [15:08<06:15,  2.60it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2025/3000:  68%|██████▊   | 2025/3000 [15:08<06:32,  2.48it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2025/3000:  68%|██████▊   | 2025/3000 [15:08<06:32,  2.48it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2026/3000:  68%|██████▊   | 2025/3000 [15:08<06:32,  2.48it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2026/3000:  68%|██████▊   | 2026/3000 [15:09<07:21,  2.21it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2026/3000:  68%|██████▊   | 2026/3000 [15:09<07:21,  2.21it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6] Epoch 2027/3000:  68%|██████▊   | 2026/3000 [15:09<07:21,  2.21it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2027/3000:  68%|██████▊   | 2027/3000 [15:09<07:10,  2.26it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2027/3000:  68%|██████▊   | 2027/3000 [15:09<07:10,  2.26it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2028/3000:  68%|██████▊   | 2027/3000 [15:09<07:10,  2.26it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2028/3000:  68%|██████▊   | 2028/3000 [15:10<07:34,  2.14it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2028/3000:  68%|██████▊   | 2028/3000 [15:10<07:34,  2.14it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2029/3000:  68%|██████▊   | 2028/3000 [15:10<07:34,  2.14it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2029/3000:  68%|██████▊   | 2029/3000 [15:10<07:25,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2029/3000:  68%|██████▊   | 2029/3000 [15:10<07:25,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2030/3000:  68%|██████▊   | 2029/3000 [15:10<07:25,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2030/3000:  68%|██████▊   | 2030/3000 [15:11<08:00,  2.02it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2030/3000:  68%|██████▊   | 2030/3000 [15:11<08:00,  2.02it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6] Epoch 2031/3000:  68%|██████▊   | 2030/3000 [15:11<08:00,  2.02it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2031/3000:  68%|██████▊   | 2031/3000 [15:11<08:01,  2.01it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.11e+6]Epoch 2031/3000:  68%|██████▊   | 2031/3000 [15:11<08:01,  2.01it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2032/3000:  68%|██████▊   | 2031/3000 [15:11<08:01,  2.01it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2032/3000:  68%|██████▊   | 2032/3000 [15:12<07:58,  2.02it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2032/3000:  68%|██████▊   | 2032/3000 [15:12<07:58,  2.02it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.11e+6]Epoch 2033/3000:  68%|██████▊   | 2032/3000 [15:12<07:58,  2.02it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.11e+6]Epoch 2033/3000:  68%|██████▊   | 2033/3000 [15:12<07:12,  2.23it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.11e+6]Epoch 2033/3000:  68%|██████▊   | 2033/3000 [15:12<07:12,  2.23it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2034/3000:  68%|██████▊   | 2033/3000 [15:12<07:12,  2.23it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2034/3000:  68%|██████▊   | 2034/3000 [15:13<07:19,  2.20it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.11e+6]Epoch 2034/3000:  68%|██████▊   | 2034/3000 [15:13<07:19,  2.20it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2035/3000:  68%|██████▊   | 2034/3000 [15:13<07:19,  2.20it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2035/3000:  68%|██████▊   | 2035/3000 [15:13<07:22,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2035/3000:  68%|██████▊   | 2035/3000 [15:13<07:22,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2036/3000:  68%|██████▊   | 2035/3000 [15:13<07:22,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2036/3000:  68%|██████▊   | 2036/3000 [15:14<07:53,  2.03it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.11e+6]Epoch 2036/3000:  68%|██████▊   | 2036/3000 [15:14<07:53,  2.03it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.1e+6] Epoch 2037/3000:  68%|██████▊   | 2036/3000 [15:14<07:53,  2.03it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.1e+6]Epoch 2037/3000:  68%|██████▊   | 2037/3000 [15:14<07:39,  2.10it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.1e+6]Epoch 2037/3000:  68%|██████▊   | 2037/3000 [15:14<07:39,  2.10it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2038/3000:  68%|██████▊   | 2037/3000 [15:14<07:39,  2.10it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2038/3000:  68%|██████▊   | 2038/3000 [15:14<07:08,  2.24it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2038/3000:  68%|██████▊   | 2038/3000 [15:14<07:08,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2039/3000:  68%|██████▊   | 2038/3000 [15:14<07:08,  2.24it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2039/3000:  68%|██████▊   | 2039/3000 [15:15<07:08,  2.25it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2039/3000:  68%|██████▊   | 2039/3000 [15:15<07:08,  2.25it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2040/3000:  68%|██████▊   | 2039/3000 [15:15<07:08,  2.25it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2040/3000:  68%|██████▊   | 2040/3000 [15:16<07:57,  2.01it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2040/3000:  68%|██████▊   | 2040/3000 [15:16<07:57,  2.01it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2041/3000:  68%|██████▊   | 2040/3000 [15:16<07:57,  2.01it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2041/3000:  68%|██████▊   | 2041/3000 [15:16<07:52,  2.03it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2041/3000:  68%|██████▊   | 2041/3000 [15:16<07:52,  2.03it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.1e+6]Epoch 2042/3000:  68%|██████▊   | 2041/3000 [15:16<07:52,  2.03it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.1e+6]Epoch 2042/3000:  68%|██████▊   | 2042/3000 [15:17<07:52,  2.03it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.1e+6]Epoch 2042/3000:  68%|██████▊   | 2042/3000 [15:17<07:52,  2.03it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2043/3000:  68%|██████▊   | 2042/3000 [15:17<07:52,  2.03it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2043/3000:  68%|██████▊   | 2043/3000 [15:17<07:09,  2.23it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2043/3000:  68%|██████▊   | 2043/3000 [15:17<07:09,  2.23it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2044/3000:  68%|██████▊   | 2043/3000 [15:17<07:09,  2.23it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2044/3000:  68%|██████▊   | 2044/3000 [15:17<07:08,  2.23it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2044/3000:  68%|██████▊   | 2044/3000 [15:17<07:08,  2.23it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.1e+6]Epoch 2045/3000:  68%|██████▊   | 2044/3000 [15:17<07:08,  2.23it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.1e+6]Epoch 2045/3000:  68%|██████▊   | 2045/3000 [15:18<07:11,  2.21it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.1e+6]Epoch 2045/3000:  68%|██████▊   | 2045/3000 [15:18<07:11,  2.21it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2046/3000:  68%|██████▊   | 2045/3000 [15:18<07:11,  2.21it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2046/3000:  68%|██████▊   | 2046/3000 [15:18<07:14,  2.19it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2046/3000:  68%|██████▊   | 2046/3000 [15:18<07:14,  2.19it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2047/3000:  68%|██████▊   | 2046/3000 [15:18<07:14,  2.19it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2047/3000:  68%|██████▊   | 2047/3000 [15:19<07:44,  2.05it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2047/3000:  68%|██████▊   | 2047/3000 [15:19<07:44,  2.05it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2048/3000:  68%|██████▊   | 2047/3000 [15:19<07:44,  2.05it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2048/3000:  68%|██████▊   | 2048/3000 [15:19<07:24,  2.14it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2048/3000:  68%|██████▊   | 2048/3000 [15:19<07:24,  2.14it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2049/3000:  68%|██████▊   | 2048/3000 [15:19<07:24,  2.14it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2049/3000:  68%|██████▊   | 2049/3000 [15:20<07:09,  2.22it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2049/3000:  68%|██████▊   | 2049/3000 [15:20<07:09,  2.22it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2050/3000:  68%|██████▊   | 2049/3000 [15:20<07:09,  2.22it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2050/3000:  68%|██████▊   | 2050/3000 [15:20<06:49,  2.32it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2050/3000:  68%|██████▊   | 2050/3000 [15:20<06:49,  2.32it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2051/3000:  68%|██████▊   | 2050/3000 [15:20<06:49,  2.32it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2051/3000:  68%|██████▊   | 2051/3000 [15:20<06:44,  2.35it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2051/3000:  68%|██████▊   | 2051/3000 [15:20<06:44,  2.35it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.1e+6]Epoch 2052/3000:  68%|██████▊   | 2051/3000 [15:20<06:44,  2.35it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.1e+6]Epoch 2052/3000:  68%|██████▊   | 2052/3000 [15:21<06:40,  2.37it/s, v_num=1, train_loss_step=1.14e+6, train_loss_epoch=1.1e+6]Epoch 2052/3000:  68%|██████▊   | 2052/3000 [15:21<06:40,  2.37it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2053/3000:  68%|██████▊   | 2052/3000 [15:21<06:40,  2.37it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2053/3000:  68%|██████▊   | 2053/3000 [15:22<07:50,  2.01it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2053/3000:  68%|██████▊   | 2053/3000 [15:22<07:50,  2.01it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2054/3000:  68%|██████▊   | 2053/3000 [15:22<07:50,  2.01it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2054/3000:  68%|██████▊   | 2054/3000 [15:22<07:49,  2.01it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2054/3000:  68%|██████▊   | 2054/3000 [15:22<07:49,  2.01it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2055/3000:  68%|██████▊   | 2054/3000 [15:22<07:49,  2.01it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2055/3000:  68%|██████▊   | 2055/3000 [15:22<07:41,  2.05it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2055/3000:  68%|██████▊   | 2055/3000 [15:22<07:41,  2.05it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2056/3000:  68%|██████▊   | 2055/3000 [15:22<07:41,  2.05it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2056/3000:  69%|██████▊   | 2056/3000 [15:23<07:47,  2.02it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2056/3000:  69%|██████▊   | 2056/3000 [15:23<07:47,  2.02it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2057/3000:  69%|██████▊   | 2056/3000 [15:23<07:47,  2.02it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2057/3000:  69%|██████▊   | 2057/3000 [15:24<07:49,  2.01it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2057/3000:  69%|██████▊   | 2057/3000 [15:24<07:49,  2.01it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2058/3000:  69%|██████▊   | 2057/3000 [15:24<07:49,  2.01it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2058/3000:  69%|██████▊   | 2058/3000 [15:24<07:42,  2.04it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2058/3000:  69%|██████▊   | 2058/3000 [15:24<07:42,  2.04it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2059/3000:  69%|██████▊   | 2058/3000 [15:24<07:42,  2.04it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2059/3000:  69%|██████▊   | 2059/3000 [15:24<07:36,  2.06it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2059/3000:  69%|██████▊   | 2059/3000 [15:24<07:36,  2.06it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2060/3000:  69%|██████▊   | 2059/3000 [15:24<07:36,  2.06it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2060/3000:  69%|██████▊   | 2060/3000 [15:25<06:41,  2.34it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2060/3000:  69%|██████▊   | 2060/3000 [15:25<06:41,  2.34it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2061/3000:  69%|██████▊   | 2060/3000 [15:25<06:41,  2.34it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2061/3000:  69%|██████▊   | 2061/3000 [15:25<06:27,  2.42it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2061/3000:  69%|██████▊   | 2061/3000 [15:25<06:27,  2.42it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2062/3000:  69%|██████▊   | 2061/3000 [15:25<06:27,  2.42it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2062/3000:  69%|██████▊   | 2062/3000 [15:26<07:03,  2.21it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2062/3000:  69%|██████▊   | 2062/3000 [15:26<07:03,  2.21it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2063/3000:  69%|██████▊   | 2062/3000 [15:26<07:03,  2.21it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2063/3000:  69%|██████▉   | 2063/3000 [15:26<07:22,  2.12it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2063/3000:  69%|██████▉   | 2063/3000 [15:26<07:22,  2.12it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2064/3000:  69%|██████▉   | 2063/3000 [15:26<07:22,  2.12it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2064/3000:  69%|██████▉   | 2064/3000 [15:27<07:28,  2.09it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2064/3000:  69%|██████▉   | 2064/3000 [15:27<07:28,  2.09it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2065/3000:  69%|██████▉   | 2064/3000 [15:27<07:28,  2.09it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2065/3000:  69%|██████▉   | 2065/3000 [15:27<07:23,  2.11it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2065/3000:  69%|██████▉   | 2065/3000 [15:27<07:23,  2.11it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2066/3000:  69%|██████▉   | 2065/3000 [15:27<07:23,  2.11it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2066/3000:  69%|██████▉   | 2066/3000 [15:28<07:07,  2.18it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2066/3000:  69%|██████▉   | 2066/3000 [15:28<07:07,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2067/3000:  69%|██████▉   | 2066/3000 [15:28<07:07,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2067/3000:  69%|██████▉   | 2067/3000 [15:28<07:50,  1.98it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2067/3000:  69%|██████▉   | 2067/3000 [15:28<07:50,  1.98it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2068/3000:  69%|██████▉   | 2067/3000 [15:28<07:50,  1.98it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2068/3000:  69%|██████▉   | 2068/3000 [15:29<08:19,  1.87it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2068/3000:  69%|██████▉   | 2068/3000 [15:29<08:19,  1.87it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2069/3000:  69%|██████▉   | 2068/3000 [15:29<08:19,  1.87it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2069/3000:  69%|██████▉   | 2069/3000 [15:29<08:14,  1.88it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2069/3000:  69%|██████▉   | 2069/3000 [15:29<08:14,  1.88it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2070/3000:  69%|██████▉   | 2069/3000 [15:29<08:14,  1.88it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2070/3000:  69%|██████▉   | 2070/3000 [15:30<07:55,  1.96it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2070/3000:  69%|██████▉   | 2070/3000 [15:30<07:55,  1.96it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.1e+6]Epoch 2071/3000:  69%|██████▉   | 2070/3000 [15:30<07:55,  1.96it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.1e+6]Epoch 2071/3000:  69%|██████▉   | 2071/3000 [15:30<08:15,  1.87it/s, v_num=1, train_loss_step=1.13e+6, train_loss_epoch=1.1e+6]Epoch 2071/3000:  69%|██████▉   | 2071/3000 [15:30<08:15,  1.87it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2072/3000:  69%|██████▉   | 2071/3000 [15:30<08:15,  1.87it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2072/3000:  69%|██████▉   | 2072/3000 [15:31<07:55,  1.95it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2072/3000:  69%|██████▉   | 2072/3000 [15:31<07:55,  1.95it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2073/3000:  69%|██████▉   | 2072/3000 [15:31<07:55,  1.95it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2073/3000:  69%|██████▉   | 2073/3000 [15:31<07:21,  2.10it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2073/3000:  69%|██████▉   | 2073/3000 [15:31<07:21,  2.10it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2074/3000:  69%|██████▉   | 2073/3000 [15:31<07:21,  2.10it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2074/3000:  69%|██████▉   | 2074/3000 [15:32<07:28,  2.06it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2074/3000:  69%|██████▉   | 2074/3000 [15:32<07:28,  2.06it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2075/3000:  69%|██████▉   | 2074/3000 [15:32<07:28,  2.06it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2075/3000:  69%|██████▉   | 2075/3000 [15:32<08:32,  1.81it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2075/3000:  69%|██████▉   | 2075/3000 [15:32<08:32,  1.81it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2076/3000:  69%|██████▉   | 2075/3000 [15:32<08:32,  1.81it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2076/3000:  69%|██████▉   | 2076/3000 [15:33<08:15,  1.86it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2076/3000:  69%|██████▉   | 2076/3000 [15:33<08:15,  1.86it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2077/3000:  69%|██████▉   | 2076/3000 [15:33<08:15,  1.86it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2077/3000:  69%|██████▉   | 2077/3000 [15:33<07:25,  2.07it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2077/3000:  69%|██████▉   | 2077/3000 [15:33<07:25,  2.07it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2078/3000:  69%|██████▉   | 2077/3000 [15:33<07:25,  2.07it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2078/3000:  69%|██████▉   | 2078/3000 [15:34<07:11,  2.14it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2078/3000:  69%|██████▉   | 2078/3000 [15:34<07:11,  2.14it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2079/3000:  69%|██████▉   | 2078/3000 [15:34<07:11,  2.14it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2079/3000:  69%|██████▉   | 2079/3000 [15:34<06:23,  2.40it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2079/3000:  69%|██████▉   | 2079/3000 [15:34<06:23,  2.40it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2080/3000:  69%|██████▉   | 2079/3000 [15:34<06:23,  2.40it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2080/3000:  69%|██████▉   | 2080/3000 [15:34<06:05,  2.52it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2080/3000:  69%|██████▉   | 2080/3000 [15:34<06:05,  2.52it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2081/3000:  69%|██████▉   | 2080/3000 [15:34<06:05,  2.52it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2081/3000:  69%|██████▉   | 2081/3000 [15:35<05:19,  2.88it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2081/3000:  69%|██████▉   | 2081/3000 [15:35<05:19,  2.88it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2082/3000:  69%|██████▉   | 2081/3000 [15:35<05:19,  2.88it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2082/3000:  69%|██████▉   | 2082/3000 [15:35<05:09,  2.96it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2082/3000:  69%|██████▉   | 2082/3000 [15:35<05:09,  2.96it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2083/3000:  69%|██████▉   | 2082/3000 [15:35<05:09,  2.96it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2083/3000:  69%|██████▉   | 2083/3000 [15:35<05:35,  2.73it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2083/3000:  69%|██████▉   | 2083/3000 [15:35<05:35,  2.73it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2084/3000:  69%|██████▉   | 2083/3000 [15:35<05:35,  2.73it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2084/3000:  69%|██████▉   | 2084/3000 [15:36<06:44,  2.27it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2084/3000:  69%|██████▉   | 2084/3000 [15:36<06:44,  2.27it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2085/3000:  69%|██████▉   | 2084/3000 [15:36<06:44,  2.27it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2085/3000:  70%|██████▉   | 2085/3000 [15:36<06:54,  2.21it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2085/3000:  70%|██████▉   | 2085/3000 [15:36<06:54,  2.21it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2086/3000:  70%|██████▉   | 2085/3000 [15:36<06:54,  2.21it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2086/3000:  70%|██████▉   | 2086/3000 [15:37<06:58,  2.18it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2086/3000:  70%|██████▉   | 2086/3000 [15:37<06:58,  2.18it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2087/3000:  70%|██████▉   | 2086/3000 [15:37<06:58,  2.18it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2087/3000:  70%|██████▉   | 2087/3000 [15:37<07:09,  2.12it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2087/3000:  70%|██████▉   | 2087/3000 [15:37<07:09,  2.12it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2088/3000:  70%|██████▉   | 2087/3000 [15:37<07:09,  2.12it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2088/3000:  70%|██████▉   | 2088/3000 [15:38<08:07,  1.87it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2088/3000:  70%|██████▉   | 2088/3000 [15:38<08:07,  1.87it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2089/3000:  70%|██████▉   | 2088/3000 [15:38<08:07,  1.87it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2089/3000:  70%|██████▉   | 2089/3000 [15:38<07:31,  2.02it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2089/3000:  70%|██████▉   | 2089/3000 [15:38<07:31,  2.02it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2090/3000:  70%|██████▉   | 2089/3000 [15:39<07:31,  2.02it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2090/3000:  70%|██████▉   | 2090/3000 [15:39<07:41,  1.97it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2090/3000:  70%|██████▉   | 2090/3000 [15:39<07:41,  1.97it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2091/3000:  70%|██████▉   | 2090/3000 [15:39<07:41,  1.97it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2091/3000:  70%|██████▉   | 2091/3000 [15:39<07:19,  2.07it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2091/3000:  70%|██████▉   | 2091/3000 [15:39<07:19,  2.07it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2092/3000:  70%|██████▉   | 2091/3000 [15:39<07:19,  2.07it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2092/3000:  70%|██████▉   | 2092/3000 [15:40<07:16,  2.08it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2092/3000:  70%|██████▉   | 2092/3000 [15:40<07:16,  2.08it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2093/3000:  70%|██████▉   | 2092/3000 [15:40<07:16,  2.08it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2093/3000:  70%|██████▉   | 2093/3000 [15:41<07:50,  1.93it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2093/3000:  70%|██████▉   | 2093/3000 [15:41<07:50,  1.93it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2094/3000:  70%|██████▉   | 2093/3000 [15:41<07:50,  1.93it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2094/3000:  70%|██████▉   | 2094/3000 [15:41<08:16,  1.82it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2094/3000:  70%|██████▉   | 2094/3000 [15:41<08:16,  1.82it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2095/3000:  70%|██████▉   | 2094/3000 [15:41<08:16,  1.82it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2095/3000:  70%|██████▉   | 2095/3000 [15:42<08:25,  1.79it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2095/3000:  70%|██████▉   | 2095/3000 [15:42<08:25,  1.79it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2096/3000:  70%|██████▉   | 2095/3000 [15:42<08:25,  1.79it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2096/3000:  70%|██████▉   | 2096/3000 [15:42<07:53,  1.91it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.1e+6]Epoch 2096/3000:  70%|██████▉   | 2096/3000 [15:42<07:53,  1.91it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2097/3000:  70%|██████▉   | 2096/3000 [15:42<07:53,  1.91it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2097/3000:  70%|██████▉   | 2097/3000 [15:43<08:01,  1.88it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2097/3000:  70%|██████▉   | 2097/3000 [15:43<08:01,  1.88it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2098/3000:  70%|██████▉   | 2097/3000 [15:43<08:01,  1.88it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2098/3000:  70%|██████▉   | 2098/3000 [15:43<08:20,  1.80it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2098/3000:  70%|██████▉   | 2098/3000 [15:43<08:20,  1.80it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2099/3000:  70%|██████▉   | 2098/3000 [15:43<08:20,  1.80it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2099/3000:  70%|██████▉   | 2099/3000 [15:44<07:52,  1.91it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2099/3000:  70%|██████▉   | 2099/3000 [15:44<07:52,  1.91it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6] Epoch 2100/3000:  70%|██████▉   | 2099/3000 [15:44<07:52,  1.91it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2100/3000:  70%|███████   | 2100/3000 [15:44<06:53,  2.18it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.1e+6]Epoch 2100/3000:  70%|███████   | 2100/3000 [15:44<06:53,  2.18it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2101/3000:  70%|███████   | 2100/3000 [15:44<06:53,  2.18it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2101/3000:  70%|███████   | 2101/3000 [15:45<06:58,  2.15it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2101/3000:  70%|███████   | 2101/3000 [15:45<06:58,  2.15it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2102/3000:  70%|███████   | 2101/3000 [15:45<06:58,  2.15it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2102/3000:  70%|███████   | 2102/3000 [15:45<06:56,  2.16it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.1e+6]Epoch 2102/3000:  70%|███████   | 2102/3000 [15:45<06:56,  2.16it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2103/3000:  70%|███████   | 2102/3000 [15:45<06:56,  2.16it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2103/3000:  70%|███████   | 2103/3000 [15:46<07:26,  2.01it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.1e+6]Epoch 2103/3000:  70%|███████   | 2103/3000 [15:46<07:26,  2.01it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2104/3000:  70%|███████   | 2103/3000 [15:46<07:26,  2.01it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2104/3000:  70%|███████   | 2104/3000 [15:46<07:08,  2.09it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2104/3000:  70%|███████   | 2104/3000 [15:46<07:08,  2.09it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2105/3000:  70%|███████   | 2104/3000 [15:46<07:08,  2.09it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2105/3000:  70%|███████   | 2105/3000 [15:47<07:20,  2.03it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2105/3000:  70%|███████   | 2105/3000 [15:47<07:20,  2.03it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2106/3000:  70%|███████   | 2105/3000 [15:47<07:20,  2.03it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2106/3000:  70%|███████   | 2106/3000 [15:47<07:21,  2.02it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2106/3000:  70%|███████   | 2106/3000 [15:47<07:21,  2.02it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2107/3000:  70%|███████   | 2106/3000 [15:47<07:21,  2.02it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2107/3000:  70%|███████   | 2107/3000 [15:47<06:52,  2.17it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2107/3000:  70%|███████   | 2107/3000 [15:47<06:52,  2.17it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2108/3000:  70%|███████   | 2107/3000 [15:47<06:52,  2.17it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2108/3000:  70%|███████   | 2108/3000 [15:48<07:02,  2.11it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2108/3000:  70%|███████   | 2108/3000 [15:48<07:02,  2.11it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2109/3000:  70%|███████   | 2108/3000 [15:48<07:02,  2.11it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2109/3000:  70%|███████   | 2109/3000 [15:49<07:33,  1.96it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2109/3000:  70%|███████   | 2109/3000 [15:49<07:33,  1.96it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2110/3000:  70%|███████   | 2109/3000 [15:49<07:33,  1.96it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2110/3000:  70%|███████   | 2110/3000 [15:49<07:14,  2.05it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2110/3000:  70%|███████   | 2110/3000 [15:49<07:14,  2.05it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2111/3000:  70%|███████   | 2110/3000 [15:49<07:14,  2.05it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2111/3000:  70%|███████   | 2111/3000 [15:49<06:32,  2.27it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2111/3000:  70%|███████   | 2111/3000 [15:49<06:32,  2.27it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2112/3000:  70%|███████   | 2111/3000 [15:49<06:32,  2.27it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2112/3000:  70%|███████   | 2112/3000 [15:50<06:47,  2.18it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2112/3000:  70%|███████   | 2112/3000 [15:50<06:47,  2.18it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6] Epoch 2113/3000:  70%|███████   | 2112/3000 [15:50<06:47,  2.18it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2113/3000:  70%|███████   | 2113/3000 [15:50<06:09,  2.40it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2113/3000:  70%|███████   | 2113/3000 [15:50<06:09,  2.40it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2114/3000:  70%|███████   | 2113/3000 [15:50<06:09,  2.40it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2114/3000:  70%|███████   | 2114/3000 [15:50<05:25,  2.72it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2114/3000:  70%|███████   | 2114/3000 [15:50<05:25,  2.72it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6] Epoch 2115/3000:  70%|███████   | 2114/3000 [15:50<05:25,  2.72it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2115/3000:  70%|███████   | 2115/3000 [15:51<05:46,  2.56it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2115/3000:  70%|███████   | 2115/3000 [15:51<05:46,  2.56it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2116/3000:  70%|███████   | 2115/3000 [15:51<05:46,  2.56it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2116/3000:  71%|███████   | 2116/3000 [15:51<05:45,  2.56it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2116/3000:  71%|███████   | 2116/3000 [15:51<05:45,  2.56it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2117/3000:  71%|███████   | 2116/3000 [15:51<05:45,  2.56it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2117/3000:  71%|███████   | 2117/3000 [15:52<05:46,  2.55it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2117/3000:  71%|███████   | 2117/3000 [15:52<05:46,  2.55it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6] Epoch 2118/3000:  71%|███████   | 2117/3000 [15:52<05:46,  2.55it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2118/3000:  71%|███████   | 2118/3000 [15:52<06:06,  2.41it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2118/3000:  71%|███████   | 2118/3000 [15:52<06:06,  2.41it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2119/3000:  71%|███████   | 2118/3000 [15:52<06:06,  2.41it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2119/3000:  71%|███████   | 2119/3000 [15:53<06:31,  2.25it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2119/3000:  71%|███████   | 2119/3000 [15:53<06:31,  2.25it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6] Epoch 2120/3000:  71%|███████   | 2119/3000 [15:53<06:31,  2.25it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2120/3000:  71%|███████   | 2120/3000 [15:53<05:35,  2.62it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2120/3000:  71%|███████   | 2120/3000 [15:53<05:35,  2.62it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.09e+6]Epoch 2121/3000:  71%|███████   | 2120/3000 [15:53<05:35,  2.62it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.09e+6]Epoch 2121/3000:  71%|███████   | 2121/3000 [15:53<05:56,  2.46it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.09e+6]Epoch 2121/3000:  71%|███████   | 2121/3000 [15:53<05:56,  2.46it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2122/3000:  71%|███████   | 2121/3000 [15:53<05:56,  2.46it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2122/3000:  71%|███████   | 2122/3000 [15:54<07:18,  2.00it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2122/3000:  71%|███████   | 2122/3000 [15:54<07:18,  2.00it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2123/3000:  71%|███████   | 2122/3000 [15:54<07:18,  2.00it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2123/3000:  71%|███████   | 2123/3000 [15:54<06:26,  2.27it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2123/3000:  71%|███████   | 2123/3000 [15:54<06:26,  2.27it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2124/3000:  71%|███████   | 2123/3000 [15:54<06:26,  2.27it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2124/3000:  71%|███████   | 2124/3000 [15:55<06:22,  2.29it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2124/3000:  71%|███████   | 2124/3000 [15:55<06:22,  2.29it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2125/3000:  71%|███████   | 2124/3000 [15:55<06:22,  2.29it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2125/3000:  71%|███████   | 2125/3000 [15:55<06:18,  2.31it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2125/3000:  71%|███████   | 2125/3000 [15:55<06:18,  2.31it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6] Epoch 2126/3000:  71%|███████   | 2125/3000 [15:55<06:18,  2.31it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2126/3000:  71%|███████   | 2126/3000 [15:56<06:50,  2.13it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2126/3000:  71%|███████   | 2126/3000 [15:56<06:50,  2.13it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2127/3000:  71%|███████   | 2126/3000 [15:56<06:50,  2.13it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2127/3000:  71%|███████   | 2127/3000 [15:56<06:51,  2.12it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2127/3000:  71%|███████   | 2127/3000 [15:56<06:51,  2.12it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6] Epoch 2128/3000:  71%|███████   | 2127/3000 [15:56<06:51,  2.12it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2128/3000:  71%|███████   | 2128/3000 [15:57<06:41,  2.17it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2128/3000:  71%|███████   | 2128/3000 [15:57<06:41,  2.17it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2129/3000:  71%|███████   | 2128/3000 [15:57<06:41,  2.17it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2129/3000:  71%|███████   | 2129/3000 [15:57<06:56,  2.09it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2129/3000:  71%|███████   | 2129/3000 [15:57<06:56,  2.09it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2130/3000:  71%|███████   | 2129/3000 [15:57<06:56,  2.09it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2130/3000:  71%|███████   | 2130/3000 [15:58<06:29,  2.24it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2130/3000:  71%|███████   | 2130/3000 [15:58<06:29,  2.24it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2131/3000:  71%|███████   | 2130/3000 [15:58<06:29,  2.24it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2131/3000:  71%|███████   | 2131/3000 [15:58<06:40,  2.17it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2131/3000:  71%|███████   | 2131/3000 [15:58<06:40,  2.17it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2132/3000:  71%|███████   | 2131/3000 [15:58<06:40,  2.17it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2132/3000:  71%|███████   | 2132/3000 [15:59<07:06,  2.04it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2132/3000:  71%|███████   | 2132/3000 [15:59<07:06,  2.04it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2133/3000:  71%|███████   | 2132/3000 [15:59<07:06,  2.04it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2133/3000:  71%|███████   | 2133/3000 [15:59<06:49,  2.12it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2133/3000:  71%|███████   | 2133/3000 [15:59<06:49,  2.12it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2134/3000:  71%|███████   | 2133/3000 [15:59<06:49,  2.12it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2134/3000:  71%|███████   | 2134/3000 [15:59<06:41,  2.16it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2134/3000:  71%|███████   | 2134/3000 [15:59<06:41,  2.16it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2135/3000:  71%|███████   | 2134/3000 [15:59<06:41,  2.16it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2135/3000:  71%|███████   | 2135/3000 [16:00<06:52,  2.10it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2135/3000:  71%|███████   | 2135/3000 [16:00<06:52,  2.10it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2136/3000:  71%|███████   | 2135/3000 [16:00<06:52,  2.10it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2136/3000:  71%|███████   | 2136/3000 [16:00<06:42,  2.15it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2136/3000:  71%|███████   | 2136/3000 [16:00<06:42,  2.15it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2137/3000:  71%|███████   | 2136/3000 [16:00<06:42,  2.15it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2137/3000:  71%|███████   | 2137/3000 [16:01<06:14,  2.31it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2137/3000:  71%|███████   | 2137/3000 [16:01<06:14,  2.31it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2138/3000:  71%|███████   | 2137/3000 [16:01<06:14,  2.31it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2138/3000:  71%|███████▏  | 2138/3000 [16:01<06:51,  2.09it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2138/3000:  71%|███████▏  | 2138/3000 [16:01<06:51,  2.09it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6] Epoch 2139/3000:  71%|███████▏  | 2138/3000 [16:01<06:51,  2.09it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2139/3000:  71%|███████▏  | 2139/3000 [16:02<07:12,  1.99it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2139/3000:  71%|███████▏  | 2139/3000 [16:02<07:12,  1.99it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2140/3000:  71%|███████▏  | 2139/3000 [16:02<07:12,  1.99it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2140/3000:  71%|███████▏  | 2140/3000 [16:02<06:49,  2.10it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2140/3000:  71%|███████▏  | 2140/3000 [16:02<06:49,  2.10it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2141/3000:  71%|███████▏  | 2140/3000 [16:02<06:49,  2.10it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2141/3000:  71%|███████▏  | 2141/3000 [16:03<06:40,  2.14it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2141/3000:  71%|███████▏  | 2141/3000 [16:03<06:40,  2.14it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2142/3000:  71%|███████▏  | 2141/3000 [16:03<06:40,  2.14it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2142/3000:  71%|███████▏  | 2142/3000 [16:03<07:15,  1.97it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2142/3000:  71%|███████▏  | 2142/3000 [16:03<07:15,  1.97it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2143/3000:  71%|███████▏  | 2142/3000 [16:03<07:15,  1.97it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2143/3000:  71%|███████▏  | 2143/3000 [16:04<06:25,  2.23it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2143/3000:  71%|███████▏  | 2143/3000 [16:04<06:25,  2.23it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2144/3000:  71%|███████▏  | 2143/3000 [16:04<06:25,  2.23it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2144/3000:  71%|███████▏  | 2144/3000 [16:04<06:36,  2.16it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2144/3000:  71%|███████▏  | 2144/3000 [16:04<06:36,  2.16it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2145/3000:  71%|███████▏  | 2144/3000 [16:04<06:36,  2.16it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2145/3000:  72%|███████▏  | 2145/3000 [16:05<07:20,  1.94it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2145/3000:  72%|███████▏  | 2145/3000 [16:05<07:20,  1.94it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6] Epoch 2146/3000:  72%|███████▏  | 2145/3000 [16:05<07:20,  1.94it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2146/3000:  72%|███████▏  | 2146/3000 [16:05<07:27,  1.91it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2146/3000:  72%|███████▏  | 2146/3000 [16:05<07:27,  1.91it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2147/3000:  72%|███████▏  | 2146/3000 [16:05<07:27,  1.91it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2147/3000:  72%|███████▏  | 2147/3000 [16:06<07:39,  1.85it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2147/3000:  72%|███████▏  | 2147/3000 [16:06<07:39,  1.85it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2148/3000:  72%|███████▏  | 2147/3000 [16:06<07:39,  1.85it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2148/3000:  72%|███████▏  | 2148/3000 [16:06<07:18,  1.95it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2148/3000:  72%|███████▏  | 2148/3000 [16:06<07:18,  1.95it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6] Epoch 2149/3000:  72%|███████▏  | 2148/3000 [16:06<07:18,  1.95it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2149/3000:  72%|███████▏  | 2149/3000 [16:07<06:08,  2.31it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.09e+6]Epoch 2149/3000:  72%|███████▏  | 2149/3000 [16:07<06:08,  2.31it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2150/3000:  72%|███████▏  | 2149/3000 [16:07<06:08,  2.31it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2150/3000:  72%|███████▏  | 2150/3000 [16:07<06:04,  2.33it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2150/3000:  72%|███████▏  | 2150/3000 [16:07<06:04,  2.33it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2151/3000:  72%|███████▏  | 2150/3000 [16:07<06:04,  2.33it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2151/3000:  72%|███████▏  | 2151/3000 [16:08<06:33,  2.16it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2151/3000:  72%|███████▏  | 2151/3000 [16:08<06:33,  2.16it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2152/3000:  72%|███████▏  | 2151/3000 [16:08<06:33,  2.16it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2152/3000:  72%|███████▏  | 2152/3000 [16:08<06:31,  2.17it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2152/3000:  72%|███████▏  | 2152/3000 [16:08<06:31,  2.17it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2153/3000:  72%|███████▏  | 2152/3000 [16:08<06:31,  2.17it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2153/3000:  72%|███████▏  | 2153/3000 [16:08<05:43,  2.47it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2153/3000:  72%|███████▏  | 2153/3000 [16:08<05:43,  2.47it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2154/3000:  72%|███████▏  | 2153/3000 [16:08<05:43,  2.47it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2154/3000:  72%|███████▏  | 2154/3000 [16:08<04:31,  3.11it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2154/3000:  72%|███████▏  | 2154/3000 [16:08<04:31,  3.11it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2155/3000:  72%|███████▏  | 2154/3000 [16:08<04:31,  3.11it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2155/3000:  72%|███████▏  | 2155/3000 [16:09<04:31,  3.11it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2156/3000:  72%|███████▏  | 2155/3000 [16:09<04:31,  3.11it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2156/3000:  72%|███████▏  | 2156/3000 [16:09<04:17,  3.28it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2156/3000:  72%|███████▏  | 2156/3000 [16:09<04:17,  3.28it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2157/3000:  72%|███████▏  | 2156/3000 [16:09<04:17,  3.28it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2157/3000:  72%|███████▏  | 2157/3000 [16:09<04:27,  3.15it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2157/3000:  72%|███████▏  | 2157/3000 [16:09<04:27,  3.15it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2158/3000:  72%|███████▏  | 2157/3000 [16:09<04:27,  3.15it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2158/3000:  72%|███████▏  | 2158/3000 [16:10<04:44,  2.96it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2158/3000:  72%|███████▏  | 2158/3000 [16:10<04:44,  2.96it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2159/3000:  72%|███████▏  | 2158/3000 [16:10<04:44,  2.96it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2159/3000:  72%|███████▏  | 2159/3000 [16:10<05:43,  2.45it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2159/3000:  72%|███████▏  | 2159/3000 [16:10<05:43,  2.45it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.09e+6]Epoch 2160/3000:  72%|███████▏  | 2159/3000 [16:10<05:43,  2.45it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.09e+6]Epoch 2160/3000:  72%|███████▏  | 2160/3000 [16:11<05:55,  2.36it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.09e+6]Epoch 2160/3000:  72%|███████▏  | 2160/3000 [16:11<05:55,  2.36it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2161/3000:  72%|███████▏  | 2160/3000 [16:11<05:55,  2.36it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2161/3000:  72%|███████▏  | 2161/3000 [16:11<06:17,  2.22it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2161/3000:  72%|███████▏  | 2161/3000 [16:11<06:17,  2.22it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2162/3000:  72%|███████▏  | 2161/3000 [16:11<06:17,  2.22it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2162/3000:  72%|███████▏  | 2162/3000 [16:12<06:04,  2.30it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2162/3000:  72%|███████▏  | 2162/3000 [16:12<06:04,  2.30it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2163/3000:  72%|███████▏  | 2162/3000 [16:12<06:04,  2.30it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2163/3000:  72%|███████▏  | 2163/3000 [16:12<06:11,  2.25it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2163/3000:  72%|███████▏  | 2163/3000 [16:12<06:11,  2.25it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2164/3000:  72%|███████▏  | 2163/3000 [16:12<06:11,  2.25it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2164/3000:  72%|███████▏  | 2164/3000 [16:13<06:13,  2.24it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2164/3000:  72%|███████▏  | 2164/3000 [16:13<06:13,  2.24it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2165/3000:  72%|███████▏  | 2164/3000 [16:13<06:13,  2.24it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2165/3000:  72%|███████▏  | 2165/3000 [16:13<06:34,  2.12it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.09e+6]Epoch 2165/3000:  72%|███████▏  | 2165/3000 [16:13<06:34,  2.12it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2166/3000:  72%|███████▏  | 2165/3000 [16:13<06:34,  2.12it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2166/3000:  72%|███████▏  | 2166/3000 [16:13<05:24,  2.57it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2166/3000:  72%|███████▏  | 2166/3000 [16:13<05:24,  2.57it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2167/3000:  72%|███████▏  | 2166/3000 [16:13<05:24,  2.57it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2167/3000:  72%|███████▏  | 2167/3000 [16:14<04:37,  3.01it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2167/3000:  72%|███████▏  | 2167/3000 [16:14<04:37,  3.01it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2168/3000:  72%|███████▏  | 2167/3000 [16:14<04:37,  3.01it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2168/3000:  72%|███████▏  | 2168/3000 [16:14<04:25,  3.14it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2168/3000:  72%|███████▏  | 2168/3000 [16:14<04:25,  3.14it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2169/3000:  72%|███████▏  | 2168/3000 [16:14<04:25,  3.14it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2169/3000:  72%|███████▏  | 2169/3000 [16:14<05:18,  2.61it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2169/3000:  72%|███████▏  | 2169/3000 [16:14<05:18,  2.61it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2170/3000:  72%|███████▏  | 2169/3000 [16:14<05:18,  2.61it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2170/3000:  72%|███████▏  | 2170/3000 [16:15<05:36,  2.46it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.09e+6]Epoch 2170/3000:  72%|███████▏  | 2170/3000 [16:15<05:36,  2.46it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2171/3000:  72%|███████▏  | 2170/3000 [16:15<05:36,  2.46it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2171/3000:  72%|███████▏  | 2171/3000 [16:15<06:27,  2.14it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2171/3000:  72%|███████▏  | 2171/3000 [16:15<06:27,  2.14it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2172/3000:  72%|███████▏  | 2171/3000 [16:15<06:27,  2.14it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2172/3000:  72%|███████▏  | 2172/3000 [16:16<05:50,  2.36it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2172/3000:  72%|███████▏  | 2172/3000 [16:16<05:50,  2.36it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2173/3000:  72%|███████▏  | 2172/3000 [16:16<05:50,  2.36it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2173/3000:  72%|███████▏  | 2173/3000 [16:16<05:56,  2.32it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2173/3000:  72%|███████▏  | 2173/3000 [16:16<05:56,  2.32it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2174/3000:  72%|███████▏  | 2173/3000 [16:16<05:56,  2.32it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2174/3000:  72%|███████▏  | 2174/3000 [16:17<05:51,  2.35it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2174/3000:  72%|███████▏  | 2174/3000 [16:17<05:51,  2.35it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2175/3000:  72%|███████▏  | 2174/3000 [16:17<05:51,  2.35it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2175/3000:  72%|███████▎  | 2175/3000 [16:17<05:23,  2.55it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.09e+6]Epoch 2175/3000:  72%|███████▎  | 2175/3000 [16:17<05:23,  2.55it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2176/3000:  72%|███████▎  | 2175/3000 [16:17<05:23,  2.55it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2176/3000:  73%|███████▎  | 2176/3000 [16:17<05:33,  2.47it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.09e+6]Epoch 2176/3000:  73%|███████▎  | 2176/3000 [16:17<05:33,  2.47it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6] Epoch 2177/3000:  73%|███████▎  | 2176/3000 [16:17<05:33,  2.47it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2177/3000:  73%|███████▎  | 2177/3000 [16:18<06:09,  2.23it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2177/3000:  73%|███████▎  | 2177/3000 [16:18<06:09,  2.23it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2178/3000:  73%|███████▎  | 2177/3000 [16:18<06:09,  2.23it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2178/3000:  73%|███████▎  | 2178/3000 [16:18<05:52,  2.33it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2178/3000:  73%|███████▎  | 2178/3000 [16:18<05:52,  2.33it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2179/3000:  73%|███████▎  | 2178/3000 [16:18<05:52,  2.33it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2179/3000:  73%|███████▎  | 2179/3000 [16:19<05:49,  2.35it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2179/3000:  73%|███████▎  | 2179/3000 [16:19<05:49,  2.35it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2180/3000:  73%|███████▎  | 2179/3000 [16:19<05:49,  2.35it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2180/3000:  73%|███████▎  | 2180/3000 [16:19<06:16,  2.18it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2180/3000:  73%|███████▎  | 2180/3000 [16:19<06:16,  2.18it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6] Epoch 2181/3000:  73%|███████▎  | 2180/3000 [16:19<06:16,  2.18it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2181/3000:  73%|███████▎  | 2181/3000 [16:20<05:30,  2.47it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2181/3000:  73%|███████▎  | 2181/3000 [16:20<05:30,  2.47it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2182/3000:  73%|███████▎  | 2181/3000 [16:20<05:30,  2.47it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2182/3000:  73%|███████▎  | 2182/3000 [16:20<05:35,  2.44it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2182/3000:  73%|███████▎  | 2182/3000 [16:20<05:35,  2.44it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2183/3000:  73%|███████▎  | 2182/3000 [16:20<05:35,  2.44it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2183/3000:  73%|███████▎  | 2183/3000 [16:20<05:53,  2.31it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2183/3000:  73%|███████▎  | 2183/3000 [16:21<05:53,  2.31it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2184/3000:  73%|███████▎  | 2183/3000 [16:21<05:53,  2.31it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2184/3000:  73%|███████▎  | 2184/3000 [16:21<06:21,  2.14it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2184/3000:  73%|███████▎  | 2184/3000 [16:21<06:21,  2.14it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2185/3000:  73%|███████▎  | 2184/3000 [16:21<06:21,  2.14it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2185/3000:  73%|███████▎  | 2185/3000 [16:22<06:49,  1.99it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2185/3000:  73%|███████▎  | 2185/3000 [16:22<06:49,  1.99it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2186/3000:  73%|███████▎  | 2185/3000 [16:22<06:49,  1.99it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2186/3000:  73%|███████▎  | 2186/3000 [16:22<06:01,  2.25it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2186/3000:  73%|███████▎  | 2186/3000 [16:22<06:01,  2.25it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2187/3000:  73%|███████▎  | 2186/3000 [16:22<06:01,  2.25it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2187/3000:  73%|███████▎  | 2187/3000 [16:22<06:09,  2.20it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2187/3000:  73%|███████▎  | 2187/3000 [16:22<06:09,  2.20it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2188/3000:  73%|███████▎  | 2187/3000 [16:22<06:09,  2.20it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2188/3000:  73%|███████▎  | 2188/3000 [16:23<05:59,  2.26it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2188/3000:  73%|███████▎  | 2188/3000 [16:23<05:59,  2.26it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2189/3000:  73%|███████▎  | 2188/3000 [16:23<05:59,  2.26it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2189/3000:  73%|███████▎  | 2189/3000 [16:23<06:02,  2.24it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2189/3000:  73%|███████▎  | 2189/3000 [16:23<06:02,  2.24it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6] Epoch 2190/3000:  73%|███████▎  | 2189/3000 [16:23<06:02,  2.24it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2190/3000:  73%|███████▎  | 2190/3000 [16:24<06:25,  2.10it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2190/3000:  73%|███████▎  | 2190/3000 [16:24<06:25,  2.10it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2191/3000:  73%|███████▎  | 2190/3000 [16:24<06:25,  2.10it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2191/3000:  73%|███████▎  | 2191/3000 [16:24<06:05,  2.21it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2191/3000:  73%|███████▎  | 2191/3000 [16:24<06:05,  2.21it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2192/3000:  73%|███████▎  | 2191/3000 [16:24<06:05,  2.21it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2192/3000:  73%|███████▎  | 2192/3000 [16:25<06:00,  2.24it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2192/3000:  73%|███████▎  | 2192/3000 [16:25<06:00,  2.24it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2193/3000:  73%|███████▎  | 2192/3000 [16:25<06:00,  2.24it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2193/3000:  73%|███████▎  | 2193/3000 [16:25<06:08,  2.19it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2193/3000:  73%|███████▎  | 2193/3000 [16:25<06:08,  2.19it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2194/3000:  73%|███████▎  | 2193/3000 [16:25<06:08,  2.19it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2194/3000:  73%|███████▎  | 2194/3000 [16:26<07:09,  1.88it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2194/3000:  73%|███████▎  | 2194/3000 [16:26<07:09,  1.88it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2195/3000:  73%|███████▎  | 2194/3000 [16:26<07:09,  1.88it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2195/3000:  73%|███████▎  | 2195/3000 [16:26<07:32,  1.78it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2195/3000:  73%|███████▎  | 2195/3000 [16:26<07:32,  1.78it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2196/3000:  73%|███████▎  | 2195/3000 [16:26<07:32,  1.78it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2196/3000:  73%|███████▎  | 2196/3000 [16:27<06:41,  2.00it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2196/3000:  73%|███████▎  | 2196/3000 [16:27<06:41,  2.00it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2197/3000:  73%|███████▎  | 2196/3000 [16:27<06:41,  2.00it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2197/3000:  73%|███████▎  | 2197/3000 [16:27<06:54,  1.94it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2197/3000:  73%|███████▎  | 2197/3000 [16:27<06:54,  1.94it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.08e+6]Epoch 2198/3000:  73%|███████▎  | 2197/3000 [16:27<06:54,  1.94it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.08e+6]Epoch 2198/3000:  73%|███████▎  | 2198/3000 [16:28<06:49,  1.96it/s, v_num=1, train_loss_step=1.11e+6, train_loss_epoch=1.08e+6]Epoch 2198/3000:  73%|███████▎  | 2198/3000 [16:28<06:49,  1.96it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6] Epoch 2199/3000:  73%|███████▎  | 2198/3000 [16:28<06:49,  1.96it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2199/3000:  73%|███████▎  | 2199/3000 [16:28<05:36,  2.38it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2199/3000:  73%|███████▎  | 2199/3000 [16:28<05:36,  2.38it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2200/3000:  73%|███████▎  | 2199/3000 [16:28<05:36,  2.38it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2200/3000:  73%|███████▎  | 2200/3000 [16:28<05:18,  2.51it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2200/3000:  73%|███████▎  | 2200/3000 [16:28<05:18,  2.51it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6] Epoch 2201/3000:  73%|███████▎  | 2200/3000 [16:28<05:18,  2.51it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2201/3000:  73%|███████▎  | 2201/3000 [16:29<05:50,  2.28it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2201/3000:  73%|███████▎  | 2201/3000 [16:29<05:50,  2.28it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2202/3000:  73%|███████▎  | 2201/3000 [16:29<05:50,  2.28it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2202/3000:  73%|███████▎  | 2202/3000 [16:29<05:55,  2.24it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2202/3000:  73%|███████▎  | 2202/3000 [16:29<05:55,  2.24it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2203/3000:  73%|███████▎  | 2202/3000 [16:29<05:55,  2.24it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2203/3000:  73%|███████▎  | 2203/3000 [16:30<06:04,  2.19it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2203/3000:  73%|███████▎  | 2203/3000 [16:30<06:04,  2.19it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2204/3000:  73%|███████▎  | 2203/3000 [16:30<06:04,  2.19it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2204/3000:  73%|███████▎  | 2204/3000 [16:30<06:25,  2.07it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2204/3000:  73%|███████▎  | 2204/3000 [16:30<06:25,  2.07it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2205/3000:  73%|███████▎  | 2204/3000 [16:30<06:25,  2.07it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2205/3000:  74%|███████▎  | 2205/3000 [16:31<05:55,  2.24it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2205/3000:  74%|███████▎  | 2205/3000 [16:31<05:55,  2.24it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2206/3000:  74%|███████▎  | 2205/3000 [16:31<05:55,  2.24it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2206/3000:  74%|███████▎  | 2206/3000 [16:31<06:31,  2.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2206/3000:  74%|███████▎  | 2206/3000 [16:31<06:31,  2.03it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.08e+6]Epoch 2207/3000:  74%|███████▎  | 2206/3000 [16:31<06:31,  2.03it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.08e+6]Epoch 2207/3000:  74%|███████▎  | 2207/3000 [16:32<06:52,  1.92it/s, v_num=1, train_loss_step=1.12e+6, train_loss_epoch=1.08e+6]Epoch 2207/3000:  74%|███████▎  | 2207/3000 [16:32<06:52,  1.92it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2208/3000:  74%|███████▎  | 2207/3000 [16:32<06:52,  1.92it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2208/3000:  74%|███████▎  | 2208/3000 [16:32<06:12,  2.13it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2208/3000:  74%|███████▎  | 2208/3000 [16:32<06:12,  2.13it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2209/3000:  74%|███████▎  | 2208/3000 [16:32<06:12,  2.13it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2209/3000:  74%|███████▎  | 2209/3000 [16:33<06:29,  2.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2209/3000:  74%|███████▎  | 2209/3000 [16:33<06:29,  2.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2210/3000:  74%|███████▎  | 2209/3000 [16:33<06:29,  2.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2210/3000:  74%|███████▎  | 2210/3000 [16:33<06:30,  2.02it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2210/3000:  74%|███████▎  | 2210/3000 [16:33<06:30,  2.02it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2211/3000:  74%|███████▎  | 2210/3000 [16:33<06:30,  2.02it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2211/3000:  74%|███████▎  | 2211/3000 [16:34<06:55,  1.90it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2211/3000:  74%|███████▎  | 2211/3000 [16:34<06:55,  1.90it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2212/3000:  74%|███████▎  | 2211/3000 [16:34<06:55,  1.90it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2212/3000:  74%|███████▎  | 2212/3000 [16:35<06:57,  1.89it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2212/3000:  74%|███████▎  | 2212/3000 [16:35<06:57,  1.89it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2213/3000:  74%|███████▎  | 2212/3000 [16:35<06:57,  1.89it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2213/3000:  74%|███████▍  | 2213/3000 [16:35<06:57,  1.88it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2213/3000:  74%|███████▍  | 2213/3000 [16:35<06:57,  1.88it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2214/3000:  74%|███████▍  | 2213/3000 [16:35<06:57,  1.88it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2214/3000:  74%|███████▍  | 2214/3000 [16:36<06:34,  1.99it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2214/3000:  74%|███████▍  | 2214/3000 [16:36<06:34,  1.99it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2215/3000:  74%|███████▍  | 2214/3000 [16:36<06:34,  1.99it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2215/3000:  74%|███████▍  | 2215/3000 [16:36<06:00,  2.18it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2215/3000:  74%|███████▍  | 2215/3000 [16:36<06:00,  2.18it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2216/3000:  74%|███████▍  | 2215/3000 [16:36<06:00,  2.18it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2216/3000:  74%|███████▍  | 2216/3000 [16:36<06:31,  2.00it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2216/3000:  74%|███████▍  | 2216/3000 [16:36<06:31,  2.00it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2217/3000:  74%|███████▍  | 2216/3000 [16:36<06:31,  2.00it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2217/3000:  74%|███████▍  | 2217/3000 [16:37<07:12,  1.81it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2217/3000:  74%|███████▍  | 2217/3000 [16:37<07:12,  1.81it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2218/3000:  74%|███████▍  | 2217/3000 [16:37<07:12,  1.81it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2218/3000:  74%|███████▍  | 2218/3000 [16:38<07:16,  1.79it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2218/3000:  74%|███████▍  | 2218/3000 [16:38<07:16,  1.79it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2219/3000:  74%|███████▍  | 2218/3000 [16:38<07:16,  1.79it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2219/3000:  74%|███████▍  | 2219/3000 [16:38<07:19,  1.78it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2219/3000:  74%|███████▍  | 2219/3000 [16:38<07:19,  1.78it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2220/3000:  74%|███████▍  | 2219/3000 [16:38<07:19,  1.78it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2220/3000:  74%|███████▍  | 2220/3000 [16:39<07:33,  1.72it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2220/3000:  74%|███████▍  | 2220/3000 [16:39<07:33,  1.72it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2221/3000:  74%|███████▍  | 2220/3000 [16:39<07:33,  1.72it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2221/3000:  74%|███████▍  | 2221/3000 [16:39<07:04,  1.84it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2221/3000:  74%|███████▍  | 2221/3000 [16:39<07:04,  1.84it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2222/3000:  74%|███████▍  | 2221/3000 [16:39<07:04,  1.84it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2222/3000:  74%|███████▍  | 2222/3000 [16:40<07:43,  1.68it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2222/3000:  74%|███████▍  | 2222/3000 [16:40<07:43,  1.68it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2223/3000:  74%|███████▍  | 2222/3000 [16:40<07:43,  1.68it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2223/3000:  74%|███████▍  | 2223/3000 [16:41<07:16,  1.78it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2223/3000:  74%|███████▍  | 2223/3000 [16:41<07:16,  1.78it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2224/3000:  74%|███████▍  | 2223/3000 [16:41<07:16,  1.78it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2224/3000:  74%|███████▍  | 2224/3000 [16:41<07:23,  1.75it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2224/3000:  74%|███████▍  | 2224/3000 [16:41<07:23,  1.75it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2225/3000:  74%|███████▍  | 2224/3000 [16:41<07:23,  1.75it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2225/3000:  74%|███████▍  | 2225/3000 [16:42<07:27,  1.73it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2225/3000:  74%|███████▍  | 2225/3000 [16:42<07:27,  1.73it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2226/3000:  74%|███████▍  | 2225/3000 [16:42<07:27,  1.73it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2226/3000:  74%|███████▍  | 2226/3000 [16:42<07:07,  1.81it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2226/3000:  74%|███████▍  | 2226/3000 [16:42<07:07,  1.81it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2227/3000:  74%|███████▍  | 2226/3000 [16:42<07:07,  1.81it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2227/3000:  74%|███████▍  | 2227/3000 [16:43<07:29,  1.72it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2227/3000:  74%|███████▍  | 2227/3000 [16:43<07:29,  1.72it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6] Epoch 2228/3000:  74%|███████▍  | 2227/3000 [16:43<07:29,  1.72it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2228/3000:  74%|███████▍  | 2228/3000 [16:43<07:27,  1.73it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2228/3000:  74%|███████▍  | 2228/3000 [16:43<07:27,  1.73it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2229/3000:  74%|███████▍  | 2228/3000 [16:43<07:27,  1.73it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2229/3000:  74%|███████▍  | 2229/3000 [16:44<07:35,  1.69it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2229/3000:  74%|███████▍  | 2229/3000 [16:44<07:35,  1.69it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2230/3000:  74%|███████▍  | 2229/3000 [16:44<07:35,  1.69it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2230/3000:  74%|███████▍  | 2230/3000 [16:45<07:33,  1.70it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2230/3000:  74%|███████▍  | 2230/3000 [16:45<07:33,  1.70it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2231/3000:  74%|███████▍  | 2230/3000 [16:45<07:33,  1.70it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2231/3000:  74%|███████▍  | 2231/3000 [16:45<06:42,  1.91it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2231/3000:  74%|███████▍  | 2231/3000 [16:45<06:42,  1.91it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2232/3000:  74%|███████▍  | 2231/3000 [16:45<06:42,  1.91it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2232/3000:  74%|███████▍  | 2232/3000 [16:45<06:18,  2.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2232/3000:  74%|███████▍  | 2232/3000 [16:45<06:18,  2.03it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2233/3000:  74%|███████▍  | 2232/3000 [16:45<06:18,  2.03it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2233/3000:  74%|███████▍  | 2233/3000 [16:46<06:06,  2.09it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2233/3000:  74%|███████▍  | 2233/3000 [16:46<06:06,  2.09it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6] Epoch 2234/3000:  74%|███████▍  | 2233/3000 [16:46<06:06,  2.09it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2234/3000:  74%|███████▍  | 2234/3000 [16:46<05:24,  2.36it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.08e+6]Epoch 2234/3000:  74%|███████▍  | 2234/3000 [16:46<05:24,  2.36it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2235/3000:  74%|███████▍  | 2234/3000 [16:46<05:24,  2.36it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2235/3000:  74%|███████▍  | 2235/3000 [16:47<05:04,  2.51it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2235/3000:  74%|███████▍  | 2235/3000 [16:47<05:04,  2.51it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2236/3000:  74%|███████▍  | 2235/3000 [16:47<05:04,  2.51it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2236/3000:  75%|███████▍  | 2236/3000 [16:47<04:56,  2.58it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2236/3000:  75%|███████▍  | 2236/3000 [16:47<04:56,  2.58it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2237/3000:  75%|███████▍  | 2236/3000 [16:47<04:56,  2.58it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2237/3000:  75%|███████▍  | 2237/3000 [16:47<04:43,  2.69it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2237/3000:  75%|███████▍  | 2237/3000 [16:47<04:43,  2.69it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2238/3000:  75%|███████▍  | 2237/3000 [16:47<04:43,  2.69it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2238/3000:  75%|███████▍  | 2238/3000 [16:48<05:20,  2.38it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2238/3000:  75%|███████▍  | 2238/3000 [16:48<05:20,  2.38it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2239/3000:  75%|███████▍  | 2238/3000 [16:48<05:20,  2.38it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2239/3000:  75%|███████▍  | 2239/3000 [16:48<06:05,  2.08it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2239/3000:  75%|███████▍  | 2239/3000 [16:48<06:05,  2.08it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2240/3000:  75%|███████▍  | 2239/3000 [16:48<06:05,  2.08it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2240/3000:  75%|███████▍  | 2240/3000 [16:49<06:47,  1.86it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2240/3000:  75%|███████▍  | 2240/3000 [16:49<06:47,  1.86it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2241/3000:  75%|███████▍  | 2240/3000 [16:49<06:47,  1.86it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2241/3000:  75%|███████▍  | 2241/3000 [16:50<06:28,  1.95it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2241/3000:  75%|███████▍  | 2241/3000 [16:50<06:28,  1.95it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2242/3000:  75%|███████▍  | 2241/3000 [16:50<06:28,  1.95it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2242/3000:  75%|███████▍  | 2242/3000 [16:50<06:36,  1.91it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2242/3000:  75%|███████▍  | 2242/3000 [16:50<06:36,  1.91it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2243/3000:  75%|███████▍  | 2242/3000 [16:50<06:36,  1.91it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2243/3000:  75%|███████▍  | 2243/3000 [16:51<06:32,  1.93it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2243/3000:  75%|███████▍  | 2243/3000 [16:51<06:32,  1.93it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2244/3000:  75%|███████▍  | 2243/3000 [16:51<06:32,  1.93it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2244/3000:  75%|███████▍  | 2244/3000 [16:51<05:55,  2.13it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2244/3000:  75%|███████▍  | 2244/3000 [16:51<05:55,  2.13it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2245/3000:  75%|███████▍  | 2244/3000 [16:51<05:55,  2.13it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2245/3000:  75%|███████▍  | 2245/3000 [16:51<04:42,  2.67it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2245/3000:  75%|███████▍  | 2245/3000 [16:51<04:42,  2.67it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2246/3000:  75%|███████▍  | 2245/3000 [16:51<04:42,  2.67it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2246/3000:  75%|███████▍  | 2246/3000 [16:52<05:04,  2.48it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2246/3000:  75%|███████▍  | 2246/3000 [16:52<05:04,  2.48it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2247/3000:  75%|███████▍  | 2246/3000 [16:52<05:04,  2.48it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2247/3000:  75%|███████▍  | 2247/3000 [16:52<04:52,  2.58it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2247/3000:  75%|███████▍  | 2247/3000 [16:52<04:52,  2.58it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2248/3000:  75%|███████▍  | 2247/3000 [16:52<04:52,  2.58it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2248/3000:  75%|███████▍  | 2248/3000 [16:52<05:15,  2.38it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2248/3000:  75%|███████▍  | 2248/3000 [16:52<05:15,  2.38it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2249/3000:  75%|███████▍  | 2248/3000 [16:52<05:15,  2.38it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2249/3000:  75%|███████▍  | 2249/3000 [16:53<06:11,  2.02it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2249/3000:  75%|███████▍  | 2249/3000 [16:53<06:11,  2.02it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2250/3000:  75%|███████▍  | 2249/3000 [16:53<06:11,  2.02it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2250/3000:  75%|███████▌  | 2250/3000 [16:54<06:35,  1.90it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2250/3000:  75%|███████▌  | 2250/3000 [16:54<06:35,  1.90it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2251/3000:  75%|███████▌  | 2250/3000 [16:54<06:35,  1.90it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2251/3000:  75%|███████▌  | 2251/3000 [16:54<06:13,  2.01it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2251/3000:  75%|███████▌  | 2251/3000 [16:54<06:13,  2.01it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2252/3000:  75%|███████▌  | 2251/3000 [16:54<06:13,  2.01it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2252/3000:  75%|███████▌  | 2252/3000 [16:54<05:03,  2.46it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2252/3000:  75%|███████▌  | 2252/3000 [16:54<05:03,  2.46it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2253/3000:  75%|███████▌  | 2252/3000 [16:54<05:03,  2.46it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2253/3000:  75%|███████▌  | 2253/3000 [16:55<04:45,  2.61it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2253/3000:  75%|███████▌  | 2253/3000 [16:55<04:45,  2.61it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2254/3000:  75%|███████▌  | 2253/3000 [16:55<04:45,  2.61it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2254/3000:  75%|███████▌  | 2254/3000 [16:55<05:19,  2.33it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2254/3000:  75%|███████▌  | 2254/3000 [16:55<05:19,  2.33it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2255/3000:  75%|███████▌  | 2254/3000 [16:55<05:19,  2.33it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2255/3000:  75%|███████▌  | 2255/3000 [16:55<04:54,  2.53it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.08e+6]Epoch 2255/3000:  75%|███████▌  | 2255/3000 [16:55<04:54,  2.53it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2256/3000:  75%|███████▌  | 2255/3000 [16:55<04:54,  2.53it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2256/3000:  75%|███████▌  | 2256/3000 [16:56<04:56,  2.51it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.08e+6]Epoch 2256/3000:  75%|███████▌  | 2256/3000 [16:56<04:56,  2.51it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2257/3000:  75%|███████▌  | 2256/3000 [16:56<04:56,  2.51it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2257/3000:  75%|███████▌  | 2257/3000 [16:56<04:44,  2.61it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.08e+6]Epoch 2257/3000:  75%|███████▌  | 2257/3000 [16:56<04:44,  2.61it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2258/3000:  75%|███████▌  | 2257/3000 [16:56<04:44,  2.61it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2258/3000:  75%|███████▌  | 2258/3000 [16:57<05:10,  2.39it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.08e+6]Epoch 2258/3000:  75%|███████▌  | 2258/3000 [16:57<05:10,  2.39it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2259/3000:  75%|███████▌  | 2258/3000 [16:57<05:10,  2.39it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2259/3000:  75%|███████▌  | 2259/3000 [16:57<05:18,  2.32it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2259/3000:  75%|███████▌  | 2259/3000 [16:57<05:18,  2.32it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2260/3000:  75%|███████▌  | 2259/3000 [16:57<05:18,  2.32it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2260/3000:  75%|███████▌  | 2260/3000 [16:58<05:11,  2.37it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2260/3000:  75%|███████▌  | 2260/3000 [16:58<05:11,  2.37it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.07e+6]Epoch 2261/3000:  75%|███████▌  | 2260/3000 [16:58<05:11,  2.37it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.07e+6]Epoch 2261/3000:  75%|███████▌  | 2261/3000 [16:58<04:29,  2.74it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.07e+6]Epoch 2261/3000:  75%|███████▌  | 2261/3000 [16:58<04:29,  2.74it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2262/3000:  75%|███████▌  | 2261/3000 [16:58<04:29,  2.74it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2262/3000:  75%|███████▌  | 2262/3000 [16:58<04:33,  2.70it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2262/3000:  75%|███████▌  | 2262/3000 [16:58<04:33,  2.70it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2263/3000:  75%|███████▌  | 2262/3000 [16:58<04:33,  2.70it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2263/3000:  75%|███████▌  | 2263/3000 [16:59<04:58,  2.47it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2263/3000:  75%|███████▌  | 2263/3000 [16:59<04:58,  2.47it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2264/3000:  75%|███████▌  | 2263/3000 [16:59<04:58,  2.47it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2264/3000:  75%|███████▌  | 2264/3000 [16:59<04:53,  2.51it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2264/3000:  75%|███████▌  | 2264/3000 [16:59<04:53,  2.51it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2265/3000:  75%|███████▌  | 2264/3000 [16:59<04:53,  2.51it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2265/3000:  76%|███████▌  | 2265/3000 [17:00<05:16,  2.33it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2265/3000:  76%|███████▌  | 2265/3000 [17:00<05:16,  2.33it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2266/3000:  76%|███████▌  | 2265/3000 [17:00<05:16,  2.33it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2266/3000:  76%|███████▌  | 2266/3000 [17:00<05:32,  2.21it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2266/3000:  76%|███████▌  | 2266/3000 [17:00<05:32,  2.21it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2267/3000:  76%|███████▌  | 2266/3000 [17:00<05:32,  2.21it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2267/3000:  76%|███████▌  | 2267/3000 [17:01<05:56,  2.06it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2267/3000:  76%|███████▌  | 2267/3000 [17:01<05:56,  2.06it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2268/3000:  76%|███████▌  | 2267/3000 [17:01<05:56,  2.06it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2268/3000:  76%|███████▌  | 2268/3000 [17:01<06:26,  1.89it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2268/3000:  76%|███████▌  | 2268/3000 [17:01<06:26,  1.89it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2269/3000:  76%|███████▌  | 2268/3000 [17:01<06:26,  1.89it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2269/3000:  76%|███████▌  | 2269/3000 [17:02<06:33,  1.86it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2269/3000:  76%|███████▌  | 2269/3000 [17:02<06:33,  1.86it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2270/3000:  76%|███████▌  | 2269/3000 [17:02<06:33,  1.86it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2270/3000:  76%|███████▌  | 2270/3000 [17:02<05:56,  2.05it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2270/3000:  76%|███████▌  | 2270/3000 [17:02<05:56,  2.05it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2271/3000:  76%|███████▌  | 2270/3000 [17:02<05:56,  2.05it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2271/3000:  76%|███████▌  | 2271/3000 [17:03<05:51,  2.08it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2271/3000:  76%|███████▌  | 2271/3000 [17:03<05:51,  2.08it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2272/3000:  76%|███████▌  | 2271/3000 [17:03<05:51,  2.08it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2272/3000:  76%|███████▌  | 2272/3000 [17:03<05:00,  2.42it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2272/3000:  76%|███████▌  | 2272/3000 [17:03<05:00,  2.42it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2273/3000:  76%|███████▌  | 2272/3000 [17:03<05:00,  2.42it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2273/3000:  76%|███████▌  | 2273/3000 [17:03<04:36,  2.63it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2273/3000:  76%|███████▌  | 2273/3000 [17:03<04:36,  2.63it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2274/3000:  76%|███████▌  | 2273/3000 [17:03<04:36,  2.63it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2274/3000:  76%|███████▌  | 2274/3000 [17:04<04:47,  2.53it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2274/3000:  76%|███████▌  | 2274/3000 [17:04<04:47,  2.53it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2275/3000:  76%|███████▌  | 2274/3000 [17:04<04:47,  2.53it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2275/3000:  76%|███████▌  | 2275/3000 [17:04<05:41,  2.13it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2275/3000:  76%|███████▌  | 2275/3000 [17:04<05:41,  2.13it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2276/3000:  76%|███████▌  | 2275/3000 [17:04<05:41,  2.13it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2276/3000:  76%|███████▌  | 2276/3000 [17:05<05:21,  2.25it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2276/3000:  76%|███████▌  | 2276/3000 [17:05<05:21,  2.25it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2277/3000:  76%|███████▌  | 2276/3000 [17:05<05:21,  2.25it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2277/3000:  76%|███████▌  | 2277/3000 [17:05<04:48,  2.51it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2277/3000:  76%|███████▌  | 2277/3000 [17:05<04:48,  2.51it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2278/3000:  76%|███████▌  | 2277/3000 [17:05<04:48,  2.51it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2278/3000:  76%|███████▌  | 2278/3000 [17:05<05:04,  2.37it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2278/3000:  76%|███████▌  | 2278/3000 [17:05<05:04,  2.37it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2279/3000:  76%|███████▌  | 2278/3000 [17:05<05:04,  2.37it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2279/3000:  76%|███████▌  | 2279/3000 [17:06<05:21,  2.24it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2279/3000:  76%|███████▌  | 2279/3000 [17:06<05:21,  2.24it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2280/3000:  76%|███████▌  | 2279/3000 [17:06<05:21,  2.24it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2280/3000:  76%|███████▌  | 2280/3000 [17:07<05:47,  2.07it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2280/3000:  76%|███████▌  | 2280/3000 [17:07<05:47,  2.07it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2281/3000:  76%|███████▌  | 2280/3000 [17:07<05:47,  2.07it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2281/3000:  76%|███████▌  | 2281/3000 [17:07<05:57,  2.01it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2281/3000:  76%|███████▌  | 2281/3000 [17:07<05:57,  2.01it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2282/3000:  76%|███████▌  | 2281/3000 [17:07<05:57,  2.01it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2282/3000:  76%|███████▌  | 2282/3000 [17:07<05:27,  2.19it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2282/3000:  76%|███████▌  | 2282/3000 [17:07<05:27,  2.19it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2283/3000:  76%|███████▌  | 2282/3000 [17:07<05:27,  2.19it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2283/3000:  76%|███████▌  | 2283/3000 [17:08<05:29,  2.18it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2283/3000:  76%|███████▌  | 2283/3000 [17:08<05:29,  2.18it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2284/3000:  76%|███████▌  | 2283/3000 [17:08<05:29,  2.18it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2284/3000:  76%|███████▌  | 2284/3000 [17:08<05:16,  2.26it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2284/3000:  76%|███████▌  | 2284/3000 [17:08<05:16,  2.26it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2285/3000:  76%|███████▌  | 2284/3000 [17:08<05:16,  2.26it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2285/3000:  76%|███████▌  | 2285/3000 [17:09<05:21,  2.23it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2285/3000:  76%|███████▌  | 2285/3000 [17:09<05:21,  2.23it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2286/3000:  76%|███████▌  | 2285/3000 [17:09<05:21,  2.23it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2286/3000:  76%|███████▌  | 2286/3000 [17:09<04:09,  2.87it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2286/3000:  76%|███████▌  | 2286/3000 [17:09<04:09,  2.87it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2287/3000:  76%|███████▌  | 2286/3000 [17:09<04:09,  2.87it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2287/3000:  76%|███████▌  | 2287/3000 [17:09<04:26,  2.67it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2287/3000:  76%|███████▌  | 2287/3000 [17:09<04:26,  2.67it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2288/3000:  76%|███████▌  | 2287/3000 [17:09<04:26,  2.67it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2288/3000:  76%|███████▋  | 2288/3000 [17:10<04:49,  2.46it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2288/3000:  76%|███████▋  | 2288/3000 [17:10<04:49,  2.46it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2289/3000:  76%|███████▋  | 2288/3000 [17:10<04:49,  2.46it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2289/3000:  76%|███████▋  | 2289/3000 [17:10<05:17,  2.24it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2289/3000:  76%|███████▋  | 2289/3000 [17:10<05:17,  2.24it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2290/3000:  76%|███████▋  | 2289/3000 [17:10<05:17,  2.24it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2290/3000:  76%|███████▋  | 2290/3000 [17:11<05:49,  2.03it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2290/3000:  76%|███████▋  | 2290/3000 [17:11<05:49,  2.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2291/3000:  76%|███████▋  | 2290/3000 [17:11<05:49,  2.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2291/3000:  76%|███████▋  | 2291/3000 [17:11<05:26,  2.17it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2291/3000:  76%|███████▋  | 2291/3000 [17:11<05:26,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2292/3000:  76%|███████▋  | 2291/3000 [17:11<05:26,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2292/3000:  76%|███████▋  | 2292/3000 [17:12<04:46,  2.48it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2292/3000:  76%|███████▋  | 2292/3000 [17:12<04:46,  2.48it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2293/3000:  76%|███████▋  | 2292/3000 [17:12<04:46,  2.48it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2293/3000:  76%|███████▋  | 2293/3000 [17:12<05:12,  2.26it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2293/3000:  76%|███████▋  | 2293/3000 [17:12<05:12,  2.26it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2294/3000:  76%|███████▋  | 2293/3000 [17:12<05:12,  2.26it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2294/3000:  76%|███████▋  | 2294/3000 [17:12<04:56,  2.38it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2294/3000:  76%|███████▋  | 2294/3000 [17:12<04:56,  2.38it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2295/3000:  76%|███████▋  | 2294/3000 [17:12<04:56,  2.38it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2295/3000:  76%|███████▋  | 2295/3000 [17:13<04:21,  2.70it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2295/3000:  76%|███████▋  | 2295/3000 [17:13<04:21,  2.70it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2296/3000:  76%|███████▋  | 2295/3000 [17:13<04:21,  2.70it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2296/3000:  77%|███████▋  | 2296/3000 [17:13<04:47,  2.44it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2296/3000:  77%|███████▋  | 2296/3000 [17:13<04:47,  2.44it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2297/3000:  77%|███████▋  | 2296/3000 [17:13<04:47,  2.44it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2297/3000:  77%|███████▋  | 2297/3000 [17:14<05:16,  2.22it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2297/3000:  77%|███████▋  | 2297/3000 [17:14<05:16,  2.22it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2298/3000:  77%|███████▋  | 2297/3000 [17:14<05:16,  2.22it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2298/3000:  77%|███████▋  | 2298/3000 [17:14<05:00,  2.33it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2298/3000:  77%|███████▋  | 2298/3000 [17:14<05:00,  2.33it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2299/3000:  77%|███████▋  | 2298/3000 [17:14<05:00,  2.33it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2299/3000:  77%|███████▋  | 2299/3000 [17:15<04:42,  2.48it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2299/3000:  77%|███████▋  | 2299/3000 [17:15<04:42,  2.48it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2300/3000:  77%|███████▋  | 2299/3000 [17:15<04:42,  2.48it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2300/3000:  77%|███████▋  | 2300/3000 [17:15<04:54,  2.38it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2300/3000:  77%|███████▋  | 2300/3000 [17:15<04:54,  2.38it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2301/3000:  77%|███████▋  | 2300/3000 [17:15<04:54,  2.38it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2301/3000:  77%|███████▋  | 2301/3000 [17:16<05:48,  2.01it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2301/3000:  77%|███████▋  | 2301/3000 [17:16<05:48,  2.01it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2302/3000:  77%|███████▋  | 2301/3000 [17:16<05:48,  2.01it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2302/3000:  77%|███████▋  | 2302/3000 [17:16<04:56,  2.36it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2302/3000:  77%|███████▋  | 2302/3000 [17:16<04:56,  2.36it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2303/3000:  77%|███████▋  | 2302/3000 [17:16<04:56,  2.36it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2303/3000:  77%|███████▋  | 2303/3000 [17:16<04:55,  2.36it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2303/3000:  77%|███████▋  | 2303/3000 [17:16<04:55,  2.36it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2304/3000:  77%|███████▋  | 2303/3000 [17:16<04:55,  2.36it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2304/3000:  77%|███████▋  | 2304/3000 [17:17<05:41,  2.04it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2304/3000:  77%|███████▋  | 2304/3000 [17:17<05:41,  2.04it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2305/3000:  77%|███████▋  | 2304/3000 [17:17<05:41,  2.04it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2305/3000:  77%|███████▋  | 2305/3000 [17:17<05:38,  2.05it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2305/3000:  77%|███████▋  | 2305/3000 [17:17<05:38,  2.05it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2306/3000:  77%|███████▋  | 2305/3000 [17:17<05:38,  2.05it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2306/3000:  77%|███████▋  | 2306/3000 [17:18<05:35,  2.07it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2306/3000:  77%|███████▋  | 2306/3000 [17:18<05:35,  2.07it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2307/3000:  77%|███████▋  | 2306/3000 [17:18<05:35,  2.07it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2307/3000:  77%|███████▋  | 2307/3000 [17:18<04:33,  2.54it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2307/3000:  77%|███████▋  | 2307/3000 [17:18<04:33,  2.54it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2308/3000:  77%|███████▋  | 2307/3000 [17:18<04:33,  2.54it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2308/3000:  77%|███████▋  | 2308/3000 [17:18<04:13,  2.73it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2308/3000:  77%|███████▋  | 2308/3000 [17:18<04:13,  2.73it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2309/3000:  77%|███████▋  | 2308/3000 [17:18<04:13,  2.73it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2309/3000:  77%|███████▋  | 2309/3000 [17:19<03:48,  3.03it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2309/3000:  77%|███████▋  | 2309/3000 [17:19<03:48,  3.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2310/3000:  77%|███████▋  | 2309/3000 [17:19<03:48,  3.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2310/3000:  77%|███████▋  | 2310/3000 [17:19<04:01,  2.85it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2310/3000:  77%|███████▋  | 2310/3000 [17:19<04:01,  2.85it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2311/3000:  77%|███████▋  | 2310/3000 [17:19<04:01,  2.85it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2311/3000:  77%|███████▋  | 2311/3000 [17:20<05:22,  2.13it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2311/3000:  77%|███████▋  | 2311/3000 [17:20<05:22,  2.13it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2312/3000:  77%|███████▋  | 2311/3000 [17:20<05:22,  2.13it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2312/3000:  77%|███████▋  | 2312/3000 [17:20<04:53,  2.35it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2312/3000:  77%|███████▋  | 2312/3000 [17:20<04:53,  2.35it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2313/3000:  77%|███████▋  | 2312/3000 [17:20<04:53,  2.35it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2313/3000:  77%|███████▋  | 2313/3000 [17:21<05:40,  2.02it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2313/3000:  77%|███████▋  | 2313/3000 [17:21<05:40,  2.02it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2314/3000:  77%|███████▋  | 2313/3000 [17:21<05:40,  2.02it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2314/3000:  77%|███████▋  | 2314/3000 [17:21<05:35,  2.05it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2314/3000:  77%|███████▋  | 2314/3000 [17:21<05:35,  2.05it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2315/3000:  77%|███████▋  | 2314/3000 [17:21<05:35,  2.05it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2315/3000:  77%|███████▋  | 2315/3000 [17:22<05:08,  2.22it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2315/3000:  77%|███████▋  | 2315/3000 [17:22<05:08,  2.22it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2316/3000:  77%|███████▋  | 2315/3000 [17:22<05:08,  2.22it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2316/3000:  77%|███████▋  | 2316/3000 [17:22<05:37,  2.03it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2316/3000:  77%|███████▋  | 2316/3000 [17:22<05:37,  2.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2317/3000:  77%|███████▋  | 2316/3000 [17:22<05:37,  2.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2317/3000:  77%|███████▋  | 2317/3000 [17:23<05:39,  2.01it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2317/3000:  77%|███████▋  | 2317/3000 [17:23<05:39,  2.01it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2318/3000:  77%|███████▋  | 2317/3000 [17:23<05:39,  2.01it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2318/3000:  77%|███████▋  | 2318/3000 [17:23<05:28,  2.08it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2318/3000:  77%|███████▋  | 2318/3000 [17:23<05:28,  2.08it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2319/3000:  77%|███████▋  | 2318/3000 [17:23<05:28,  2.08it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2319/3000:  77%|███████▋  | 2319/3000 [17:24<05:33,  2.04it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.07e+6]Epoch 2319/3000:  77%|███████▋  | 2319/3000 [17:24<05:33,  2.04it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2320/3000:  77%|███████▋  | 2319/3000 [17:24<05:33,  2.04it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2320/3000:  77%|███████▋  | 2320/3000 [17:24<05:24,  2.09it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2320/3000:  77%|███████▋  | 2320/3000 [17:24<05:24,  2.09it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2321/3000:  77%|███████▋  | 2320/3000 [17:24<05:24,  2.09it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2321/3000:  77%|███████▋  | 2321/3000 [17:25<06:00,  1.88it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2321/3000:  77%|███████▋  | 2321/3000 [17:25<06:00,  1.88it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2322/3000:  77%|███████▋  | 2321/3000 [17:25<06:00,  1.88it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2322/3000:  77%|███████▋  | 2322/3000 [17:25<05:56,  1.90it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2322/3000:  77%|███████▋  | 2322/3000 [17:25<05:56,  1.90it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2323/3000:  77%|███████▋  | 2322/3000 [17:25<05:56,  1.90it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2323/3000:  77%|███████▋  | 2323/3000 [17:26<06:02,  1.87it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2323/3000:  77%|███████▋  | 2323/3000 [17:26<06:02,  1.87it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2324/3000:  77%|███████▋  | 2323/3000 [17:26<06:02,  1.87it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2324/3000:  77%|███████▋  | 2324/3000 [17:26<05:40,  1.98it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2324/3000:  77%|███████▋  | 2324/3000 [17:26<05:40,  1.98it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2325/3000:  77%|███████▋  | 2324/3000 [17:26<05:40,  1.98it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2325/3000:  78%|███████▊  | 2325/3000 [17:27<05:53,  1.91it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2325/3000:  78%|███████▊  | 2325/3000 [17:27<05:53,  1.91it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2326/3000:  78%|███████▊  | 2325/3000 [17:27<05:53,  1.91it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2326/3000:  78%|███████▊  | 2326/3000 [17:27<05:51,  1.92it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2326/3000:  78%|███████▊  | 2326/3000 [17:27<05:51,  1.92it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2327/3000:  78%|███████▊  | 2326/3000 [17:27<05:51,  1.92it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2327/3000:  78%|███████▊  | 2327/3000 [17:28<05:40,  1.98it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2327/3000:  78%|███████▊  | 2327/3000 [17:28<05:40,  1.98it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2328/3000:  78%|███████▊  | 2327/3000 [17:28<05:40,  1.98it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2328/3000:  78%|███████▊  | 2328/3000 [17:28<05:17,  2.12it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2328/3000:  78%|███████▊  | 2328/3000 [17:28<05:17,  2.12it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2329/3000:  78%|███████▊  | 2328/3000 [17:28<05:17,  2.12it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2329/3000:  78%|███████▊  | 2329/3000 [17:29<05:40,  1.97it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2329/3000:  78%|███████▊  | 2329/3000 [17:29<05:40,  1.97it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2330/3000:  78%|███████▊  | 2329/3000 [17:29<05:40,  1.97it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2330/3000:  78%|███████▊  | 2330/3000 [17:29<06:12,  1.80it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2330/3000:  78%|███████▊  | 2330/3000 [17:29<06:12,  1.80it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2331/3000:  78%|███████▊  | 2330/3000 [17:30<06:12,  1.80it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2331/3000:  78%|███████▊  | 2331/3000 [17:30<05:50,  1.91it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2331/3000:  78%|███████▊  | 2331/3000 [17:30<05:50,  1.91it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2332/3000:  78%|███████▊  | 2331/3000 [17:30<05:50,  1.91it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2332/3000:  78%|███████▊  | 2332/3000 [17:30<04:55,  2.26it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2332/3000:  78%|███████▊  | 2332/3000 [17:30<04:55,  2.26it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2333/3000:  78%|███████▊  | 2332/3000 [17:30<04:55,  2.26it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2333/3000:  78%|███████▊  | 2333/3000 [17:31<05:02,  2.21it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2333/3000:  78%|███████▊  | 2333/3000 [17:31<05:02,  2.21it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2334/3000:  78%|███████▊  | 2333/3000 [17:31<05:02,  2.21it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2334/3000:  78%|███████▊  | 2334/3000 [17:31<05:24,  2.05it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2334/3000:  78%|███████▊  | 2334/3000 [17:31<05:24,  2.05it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.07e+6] Epoch 2335/3000:  78%|███████▊  | 2334/3000 [17:31<05:24,  2.05it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.07e+6]Epoch 2335/3000:  78%|███████▊  | 2335/3000 [17:32<04:59,  2.22it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.07e+6]Epoch 2335/3000:  78%|███████▊  | 2335/3000 [17:32<04:59,  2.22it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.07e+6]Epoch 2336/3000:  78%|███████▊  | 2335/3000 [17:32<04:59,  2.22it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.07e+6]Epoch 2336/3000:  78%|███████▊  | 2336/3000 [17:32<05:16,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.07e+6]Epoch 2336/3000:  78%|███████▊  | 2336/3000 [17:32<05:16,  2.10it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2337/3000:  78%|███████▊  | 2336/3000 [17:32<05:16,  2.10it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2337/3000:  78%|███████▊  | 2337/3000 [17:33<05:05,  2.17it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2337/3000:  78%|███████▊  | 2337/3000 [17:33<05:05,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2338/3000:  78%|███████▊  | 2337/3000 [17:33<05:05,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2338/3000:  78%|███████▊  | 2338/3000 [17:33<04:35,  2.40it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2338/3000:  78%|███████▊  | 2338/3000 [17:33<04:35,  2.40it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2339/3000:  78%|███████▊  | 2338/3000 [17:33<04:35,  2.40it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2339/3000:  78%|███████▊  | 2339/3000 [17:33<03:40,  3.00it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2339/3000:  78%|███████▊  | 2339/3000 [17:33<03:40,  3.00it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2340/3000:  78%|███████▊  | 2339/3000 [17:33<03:40,  3.00it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2340/3000:  78%|███████▊  | 2340/3000 [17:33<03:09,  3.49it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2340/3000:  78%|███████▊  | 2340/3000 [17:33<03:09,  3.49it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2341/3000:  78%|███████▊  | 2340/3000 [17:33<03:09,  3.49it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2341/3000:  78%|███████▊  | 2341/3000 [17:34<03:24,  3.22it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2341/3000:  78%|███████▊  | 2341/3000 [17:34<03:24,  3.22it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2342/3000:  78%|███████▊  | 2341/3000 [17:34<03:24,  3.22it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2342/3000:  78%|███████▊  | 2342/3000 [17:34<03:28,  3.15it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.07e+6]Epoch 2342/3000:  78%|███████▊  | 2342/3000 [17:34<03:28,  3.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.07e+6]Epoch 2343/3000:  78%|███████▊  | 2342/3000 [17:34<03:28,  3.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.07e+6]Epoch 2343/3000:  78%|███████▊  | 2343/3000 [17:34<04:17,  2.55it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.07e+6]Epoch 2343/3000:  78%|███████▊  | 2343/3000 [17:34<04:17,  2.55it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2344/3000:  78%|███████▊  | 2343/3000 [17:34<04:17,  2.55it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2344/3000:  78%|███████▊  | 2344/3000 [17:35<04:35,  2.38it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2344/3000:  78%|███████▊  | 2344/3000 [17:35<04:35,  2.38it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2345/3000:  78%|███████▊  | 2344/3000 [17:35<04:35,  2.38it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2345/3000:  78%|███████▊  | 2345/3000 [17:36<05:06,  2.14it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.07e+6]Epoch 2345/3000:  78%|███████▊  | 2345/3000 [17:36<05:06,  2.14it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2346/3000:  78%|███████▊  | 2345/3000 [17:36<05:06,  2.14it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2346/3000:  78%|███████▊  | 2346/3000 [17:36<04:09,  2.62it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2346/3000:  78%|███████▊  | 2346/3000 [17:36<04:09,  2.62it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2347/3000:  78%|███████▊  | 2346/3000 [17:36<04:09,  2.62it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2347/3000:  78%|███████▊  | 2347/3000 [17:36<03:44,  2.91it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2347/3000:  78%|███████▊  | 2347/3000 [17:36<03:44,  2.91it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2348/3000:  78%|███████▊  | 2347/3000 [17:36<03:44,  2.91it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2348/3000:  78%|███████▊  | 2348/3000 [17:36<03:09,  3.44it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.07e+6]Epoch 2348/3000:  78%|███████▊  | 2348/3000 [17:36<03:09,  3.44it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2349/3000:  78%|███████▊  | 2348/3000 [17:36<03:09,  3.44it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2349/3000:  78%|███████▊  | 2349/3000 [17:37<03:53,  2.79it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.07e+6]Epoch 2349/3000:  78%|███████▊  | 2349/3000 [17:37<03:53,  2.79it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2350/3000:  78%|███████▊  | 2349/3000 [17:37<03:53,  2.79it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2350/3000:  78%|███████▊  | 2350/3000 [17:37<03:52,  2.79it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2350/3000:  78%|███████▊  | 2350/3000 [17:37<03:52,  2.79it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2351/3000:  78%|███████▊  | 2350/3000 [17:37<03:52,  2.79it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2351/3000:  78%|███████▊  | 2351/3000 [17:38<04:33,  2.38it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2351/3000:  78%|███████▊  | 2351/3000 [17:38<04:33,  2.38it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2352/3000:  78%|███████▊  | 2351/3000 [17:38<04:33,  2.38it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2352/3000:  78%|███████▊  | 2352/3000 [17:38<04:34,  2.36it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2352/3000:  78%|███████▊  | 2352/3000 [17:38<04:34,  2.36it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2353/3000:  78%|███████▊  | 2352/3000 [17:38<04:34,  2.36it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2353/3000:  78%|███████▊  | 2353/3000 [17:39<04:51,  2.22it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2353/3000:  78%|███████▊  | 2353/3000 [17:39<04:51,  2.22it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.06e+6] Epoch 2354/3000:  78%|███████▊  | 2353/3000 [17:39<04:51,  2.22it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.06e+6]Epoch 2354/3000:  78%|███████▊  | 2354/3000 [17:39<05:15,  2.05it/s, v_num=1, train_loss_step=1.1e+6, train_loss_epoch=1.06e+6]Epoch 2354/3000:  78%|███████▊  | 2354/3000 [17:39<05:15,  2.05it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.06e+6]Epoch 2355/3000:  78%|███████▊  | 2354/3000 [17:39<05:15,  2.05it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.06e+6]Epoch 2355/3000:  78%|███████▊  | 2355/3000 [17:40<05:01,  2.14it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.06e+6]Epoch 2355/3000:  78%|███████▊  | 2355/3000 [17:40<05:01,  2.14it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2356/3000:  78%|███████▊  | 2355/3000 [17:40<05:01,  2.14it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2356/3000:  79%|███████▊  | 2356/3000 [17:40<05:00,  2.14it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2356/3000:  79%|███████▊  | 2356/3000 [17:40<05:00,  2.14it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2357/3000:  79%|███████▊  | 2356/3000 [17:40<05:00,  2.14it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2357/3000:  79%|███████▊  | 2357/3000 [17:41<05:22,  1.99it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2357/3000:  79%|███████▊  | 2357/3000 [17:41<05:22,  1.99it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2358/3000:  79%|███████▊  | 2357/3000 [17:41<05:22,  1.99it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2358/3000:  79%|███████▊  | 2358/3000 [17:41<05:19,  2.01it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2358/3000:  79%|███████▊  | 2358/3000 [17:41<05:19,  2.01it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2359/3000:  79%|███████▊  | 2358/3000 [17:41<05:19,  2.01it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2359/3000:  79%|███████▊  | 2359/3000 [17:42<05:20,  2.00it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2359/3000:  79%|███████▊  | 2359/3000 [17:42<05:20,  2.00it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2360/3000:  79%|███████▊  | 2359/3000 [17:42<05:20,  2.00it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2360/3000:  79%|███████▊  | 2360/3000 [17:42<05:56,  1.80it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2360/3000:  79%|███████▊  | 2360/3000 [17:42<05:56,  1.80it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2361/3000:  79%|███████▊  | 2360/3000 [17:42<05:56,  1.80it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2361/3000:  79%|███████▊  | 2361/3000 [17:43<05:24,  1.97it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2361/3000:  79%|███████▊  | 2361/3000 [17:43<05:24,  1.97it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2362/3000:  79%|███████▊  | 2361/3000 [17:43<05:24,  1.97it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2362/3000:  79%|███████▊  | 2362/3000 [17:43<05:26,  1.96it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2362/3000:  79%|███████▊  | 2362/3000 [17:43<05:26,  1.96it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2363/3000:  79%|███████▊  | 2362/3000 [17:43<05:26,  1.96it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2363/3000:  79%|███████▉  | 2363/3000 [17:44<05:52,  1.81it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2363/3000:  79%|███████▉  | 2363/3000 [17:44<05:52,  1.81it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2364/3000:  79%|███████▉  | 2363/3000 [17:44<05:52,  1.81it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2364/3000:  79%|███████▉  | 2364/3000 [17:44<05:43,  1.85it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2364/3000:  79%|███████▉  | 2364/3000 [17:44<05:43,  1.85it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2365/3000:  79%|███████▉  | 2364/3000 [17:44<05:43,  1.85it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2365/3000:  79%|███████▉  | 2365/3000 [17:45<05:39,  1.87it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2365/3000:  79%|███████▉  | 2365/3000 [17:45<05:39,  1.87it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2366/3000:  79%|███████▉  | 2365/3000 [17:45<05:39,  1.87it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2366/3000:  79%|███████▉  | 2366/3000 [17:45<05:38,  1.87it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2366/3000:  79%|███████▉  | 2366/3000 [17:45<05:38,  1.87it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2367/3000:  79%|███████▉  | 2366/3000 [17:45<05:38,  1.87it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2367/3000:  79%|███████▉  | 2367/3000 [17:46<05:24,  1.95it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2367/3000:  79%|███████▉  | 2367/3000 [17:46<05:24,  1.95it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2368/3000:  79%|███████▉  | 2367/3000 [17:46<05:24,  1.95it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2368/3000:  79%|███████▉  | 2368/3000 [17:46<05:27,  1.93it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2368/3000:  79%|███████▉  | 2368/3000 [17:46<05:27,  1.93it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2369/3000:  79%|███████▉  | 2368/3000 [17:46<05:27,  1.93it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2369/3000:  79%|███████▉  | 2369/3000 [17:47<05:30,  1.91it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2369/3000:  79%|███████▉  | 2369/3000 [17:47<05:30,  1.91it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2370/3000:  79%|███████▉  | 2369/3000 [17:47<05:30,  1.91it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2370/3000:  79%|███████▉  | 2370/3000 [17:48<06:00,  1.75it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2370/3000:  79%|███████▉  | 2370/3000 [17:48<06:00,  1.75it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2371/3000:  79%|███████▉  | 2370/3000 [17:48<06:00,  1.75it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2371/3000:  79%|███████▉  | 2371/3000 [17:48<06:03,  1.73it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2371/3000:  79%|███████▉  | 2371/3000 [17:48<06:03,  1.73it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2372/3000:  79%|███████▉  | 2371/3000 [17:48<06:03,  1.73it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2372/3000:  79%|███████▉  | 2372/3000 [17:49<05:53,  1.78it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2372/3000:  79%|███████▉  | 2372/3000 [17:49<05:53,  1.78it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2373/3000:  79%|███████▉  | 2372/3000 [17:49<05:53,  1.78it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2373/3000:  79%|███████▉  | 2373/3000 [17:49<06:01,  1.74it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2373/3000:  79%|███████▉  | 2373/3000 [17:49<06:01,  1.74it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2374/3000:  79%|███████▉  | 2373/3000 [17:49<06:01,  1.74it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2374/3000:  79%|███████▉  | 2374/3000 [17:50<05:49,  1.79it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2374/3000:  79%|███████▉  | 2374/3000 [17:50<05:49,  1.79it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2375/3000:  79%|███████▉  | 2374/3000 [17:50<05:49,  1.79it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2375/3000:  79%|███████▉  | 2375/3000 [17:50<04:58,  2.10it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2375/3000:  79%|███████▉  | 2375/3000 [17:50<04:58,  2.10it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2376/3000:  79%|███████▉  | 2375/3000 [17:50<04:58,  2.10it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2376/3000:  79%|███████▉  | 2376/3000 [17:51<05:19,  1.95it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2376/3000:  79%|███████▉  | 2376/3000 [17:51<05:19,  1.95it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2377/3000:  79%|███████▉  | 2376/3000 [17:51<05:19,  1.95it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2377/3000:  79%|███████▉  | 2377/3000 [17:51<05:03,  2.05it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2377/3000:  79%|███████▉  | 2377/3000 [17:51<05:03,  2.05it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2378/3000:  79%|███████▉  | 2377/3000 [17:51<05:03,  2.05it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2378/3000:  79%|███████▉  | 2378/3000 [17:52<05:05,  2.04it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2378/3000:  79%|███████▉  | 2378/3000 [17:52<05:05,  2.04it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2379/3000:  79%|███████▉  | 2378/3000 [17:52<05:05,  2.04it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2379/3000:  79%|███████▉  | 2379/3000 [17:52<05:27,  1.90it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2379/3000:  79%|███████▉  | 2379/3000 [17:52<05:27,  1.90it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2380/3000:  79%|███████▉  | 2379/3000 [17:52<05:27,  1.90it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2380/3000:  79%|███████▉  | 2380/3000 [17:53<05:45,  1.79it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2380/3000:  79%|███████▉  | 2380/3000 [17:53<05:45,  1.79it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2381/3000:  79%|███████▉  | 2380/3000 [17:53<05:45,  1.79it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2381/3000:  79%|███████▉  | 2381/3000 [17:53<05:30,  1.87it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2381/3000:  79%|███████▉  | 2381/3000 [17:53<05:30,  1.87it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2382/3000:  79%|███████▉  | 2381/3000 [17:53<05:30,  1.87it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2382/3000:  79%|███████▉  | 2382/3000 [17:54<05:00,  2.06it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2382/3000:  79%|███████▉  | 2382/3000 [17:54<05:00,  2.06it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2383/3000:  79%|███████▉  | 2382/3000 [17:54<05:00,  2.06it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2383/3000:  79%|███████▉  | 2383/3000 [17:54<05:14,  1.96it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2383/3000:  79%|███████▉  | 2383/3000 [17:54<05:14,  1.96it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2384/3000:  79%|███████▉  | 2383/3000 [17:54<05:14,  1.96it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2384/3000:  79%|███████▉  | 2384/3000 [17:55<04:54,  2.09it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2384/3000:  79%|███████▉  | 2384/3000 [17:55<04:54,  2.09it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2385/3000:  79%|███████▉  | 2384/3000 [17:55<04:54,  2.09it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2385/3000:  80%|███████▉  | 2385/3000 [17:55<05:16,  1.94it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2385/3000:  80%|███████▉  | 2385/3000 [17:55<05:16,  1.94it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2386/3000:  80%|███████▉  | 2385/3000 [17:55<05:16,  1.94it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2386/3000:  80%|███████▉  | 2386/3000 [17:56<05:24,  1.89it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2386/3000:  80%|███████▉  | 2386/3000 [17:56<05:24,  1.89it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2387/3000:  80%|███████▉  | 2386/3000 [17:56<05:24,  1.89it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2387/3000:  80%|███████▉  | 2387/3000 [17:56<05:37,  1.82it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2387/3000:  80%|███████▉  | 2387/3000 [17:56<05:37,  1.82it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2388/3000:  80%|███████▉  | 2387/3000 [17:56<05:37,  1.82it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2388/3000:  80%|███████▉  | 2388/3000 [17:57<05:42,  1.79it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2388/3000:  80%|███████▉  | 2388/3000 [17:57<05:42,  1.79it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2389/3000:  80%|███████▉  | 2388/3000 [17:57<05:42,  1.79it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2389/3000:  80%|███████▉  | 2389/3000 [17:57<05:23,  1.89it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2389/3000:  80%|███████▉  | 2389/3000 [17:58<05:23,  1.89it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2390/3000:  80%|███████▉  | 2389/3000 [17:58<05:23,  1.89it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2390/3000:  80%|███████▉  | 2390/3000 [17:58<05:04,  2.00it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2390/3000:  80%|███████▉  | 2390/3000 [17:58<05:04,  2.00it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2391/3000:  80%|███████▉  | 2390/3000 [17:58<05:04,  2.00it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2391/3000:  80%|███████▉  | 2391/3000 [17:58<05:15,  1.93it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2391/3000:  80%|███████▉  | 2391/3000 [17:58<05:15,  1.93it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2392/3000:  80%|███████▉  | 2391/3000 [17:59<05:15,  1.93it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2392/3000:  80%|███████▉  | 2392/3000 [17:59<05:08,  1.97it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2392/3000:  80%|███████▉  | 2392/3000 [17:59<05:08,  1.97it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2393/3000:  80%|███████▉  | 2392/3000 [17:59<05:08,  1.97it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2393/3000:  80%|███████▉  | 2393/3000 [17:59<04:57,  2.04it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2393/3000:  80%|███████▉  | 2393/3000 [17:59<04:57,  2.04it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2394/3000:  80%|███████▉  | 2393/3000 [17:59<04:57,  2.04it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2394/3000:  80%|███████▉  | 2394/3000 [18:00<04:18,  2.34it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2394/3000:  80%|███████▉  | 2394/3000 [18:00<04:18,  2.34it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2395/3000:  80%|███████▉  | 2394/3000 [18:00<04:18,  2.34it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2395/3000:  80%|███████▉  | 2395/3000 [18:00<04:16,  2.35it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2395/3000:  80%|███████▉  | 2395/3000 [18:00<04:16,  2.35it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2396/3000:  80%|███████▉  | 2395/3000 [18:00<04:16,  2.35it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2396/3000:  80%|███████▉  | 2396/3000 [18:01<04:49,  2.09it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2396/3000:  80%|███████▉  | 2396/3000 [18:01<04:49,  2.09it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2397/3000:  80%|███████▉  | 2396/3000 [18:01<04:49,  2.09it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2397/3000:  80%|███████▉  | 2397/3000 [18:01<05:18,  1.89it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2397/3000:  80%|███████▉  | 2397/3000 [18:01<05:18,  1.89it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2398/3000:  80%|███████▉  | 2397/3000 [18:01<05:18,  1.89it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2398/3000:  80%|███████▉  | 2398/3000 [18:02<05:19,  1.88it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2398/3000:  80%|███████▉  | 2398/3000 [18:02<05:19,  1.88it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2399/3000:  80%|███████▉  | 2398/3000 [18:02<05:19,  1.88it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2399/3000:  80%|███████▉  | 2399/3000 [18:02<04:46,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2399/3000:  80%|███████▉  | 2399/3000 [18:02<04:46,  2.10it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2400/3000:  80%|███████▉  | 2399/3000 [18:02<04:46,  2.10it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2400/3000:  80%|████████  | 2400/3000 [18:03<04:30,  2.21it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2400/3000:  80%|████████  | 2400/3000 [18:03<04:30,  2.21it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2401/3000:  80%|████████  | 2400/3000 [18:03<04:30,  2.21it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2401/3000:  80%|████████  | 2401/3000 [18:03<04:42,  2.12it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2401/3000:  80%|████████  | 2401/3000 [18:03<04:42,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2402/3000:  80%|████████  | 2401/3000 [18:03<04:42,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2402/3000:  80%|████████  | 2402/3000 [18:04<04:37,  2.15it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2402/3000:  80%|████████  | 2402/3000 [18:04<04:37,  2.15it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2403/3000:  80%|████████  | 2402/3000 [18:04<04:37,  2.15it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2403/3000:  80%|████████  | 2403/3000 [18:04<04:35,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2403/3000:  80%|████████  | 2403/3000 [18:04<04:35,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2404/3000:  80%|████████  | 2403/3000 [18:04<04:35,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2404/3000:  80%|████████  | 2404/3000 [18:05<04:42,  2.11it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2404/3000:  80%|████████  | 2404/3000 [18:05<04:42,  2.11it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2405/3000:  80%|████████  | 2404/3000 [18:05<04:42,  2.11it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2405/3000:  80%|████████  | 2405/3000 [18:05<04:47,  2.07it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2405/3000:  80%|████████  | 2405/3000 [18:05<04:47,  2.07it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2406/3000:  80%|████████  | 2405/3000 [18:05<04:47,  2.07it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2406/3000:  80%|████████  | 2406/3000 [18:06<04:46,  2.07it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2406/3000:  80%|████████  | 2406/3000 [18:06<04:46,  2.07it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2407/3000:  80%|████████  | 2406/3000 [18:06<04:46,  2.07it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2407/3000:  80%|████████  | 2407/3000 [18:06<03:59,  2.48it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2407/3000:  80%|████████  | 2407/3000 [18:06<03:59,  2.48it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2408/3000:  80%|████████  | 2407/3000 [18:06<03:59,  2.48it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2408/3000:  80%|████████  | 2408/3000 [18:06<03:31,  2.81it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2408/3000:  80%|████████  | 2408/3000 [18:06<03:31,  2.81it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2409/3000:  80%|████████  | 2408/3000 [18:06<03:31,  2.81it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2409/3000:  80%|████████  | 2409/3000 [18:06<02:47,  3.53it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2409/3000:  80%|████████  | 2409/3000 [18:06<02:47,  3.53it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2410/3000:  80%|████████  | 2409/3000 [18:06<02:47,  3.53it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2410/3000:  80%|████████  | 2410/3000 [18:06<02:29,  3.94it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2410/3000:  80%|████████  | 2410/3000 [18:06<02:29,  3.94it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2411/3000:  80%|████████  | 2410/3000 [18:06<02:29,  3.94it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2411/3000:  80%|████████  | 2411/3000 [18:07<03:07,  3.14it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2411/3000:  80%|████████  | 2411/3000 [18:07<03:07,  3.14it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2412/3000:  80%|████████  | 2411/3000 [18:07<03:07,  3.14it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2412/3000:  80%|████████  | 2412/3000 [18:07<03:37,  2.71it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2412/3000:  80%|████████  | 2412/3000 [18:07<03:37,  2.71it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2413/3000:  80%|████████  | 2412/3000 [18:07<03:37,  2.71it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2413/3000:  80%|████████  | 2413/3000 [18:08<03:46,  2.59it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2413/3000:  80%|████████  | 2413/3000 [18:08<03:46,  2.59it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2414/3000:  80%|████████  | 2413/3000 [18:08<03:46,  2.59it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2414/3000:  80%|████████  | 2414/3000 [18:08<04:47,  2.04it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2414/3000:  80%|████████  | 2414/3000 [18:08<04:47,  2.04it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2415/3000:  80%|████████  | 2414/3000 [18:08<04:47,  2.04it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2415/3000:  80%|████████  | 2415/3000 [18:09<04:30,  2.16it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2415/3000:  80%|████████  | 2415/3000 [18:09<04:30,  2.16it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2416/3000:  80%|████████  | 2415/3000 [18:09<04:30,  2.16it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2416/3000:  81%|████████  | 2416/3000 [18:09<04:35,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2416/3000:  81%|████████  | 2416/3000 [18:09<04:35,  2.12it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2417/3000:  81%|████████  | 2416/3000 [18:09<04:35,  2.12it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2417/3000:  81%|████████  | 2417/3000 [18:10<04:46,  2.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2417/3000:  81%|████████  | 2417/3000 [18:10<04:46,  2.03it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2418/3000:  81%|████████  | 2417/3000 [18:10<04:46,  2.03it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2418/3000:  81%|████████  | 2418/3000 [18:10<04:41,  2.07it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2418/3000:  81%|████████  | 2418/3000 [18:10<04:41,  2.07it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2419/3000:  81%|████████  | 2418/3000 [18:10<04:41,  2.07it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2419/3000:  81%|████████  | 2419/3000 [18:11<05:00,  1.93it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2419/3000:  81%|████████  | 2419/3000 [18:11<05:00,  1.93it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2420/3000:  81%|████████  | 2419/3000 [18:11<05:00,  1.93it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2420/3000:  81%|████████  | 2420/3000 [18:11<04:56,  1.96it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2420/3000:  81%|████████  | 2420/3000 [18:11<04:56,  1.96it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2421/3000:  81%|████████  | 2420/3000 [18:11<04:56,  1.96it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2421/3000:  81%|████████  | 2421/3000 [18:12<04:30,  2.14it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2421/3000:  81%|████████  | 2421/3000 [18:12<04:30,  2.14it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2422/3000:  81%|████████  | 2421/3000 [18:12<04:30,  2.14it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2422/3000:  81%|████████  | 2422/3000 [18:12<03:42,  2.59it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2422/3000:  81%|████████  | 2422/3000 [18:12<03:42,  2.59it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2423/3000:  81%|████████  | 2422/3000 [18:12<03:42,  2.59it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2423/3000:  81%|████████  | 2423/3000 [18:12<03:31,  2.73it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2423/3000:  81%|████████  | 2423/3000 [18:12<03:31,  2.73it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2424/3000:  81%|████████  | 2423/3000 [18:12<03:31,  2.73it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2424/3000:  81%|████████  | 2424/3000 [18:13<03:57,  2.43it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2424/3000:  81%|████████  | 2424/3000 [18:13<03:57,  2.43it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2425/3000:  81%|████████  | 2424/3000 [18:13<03:57,  2.43it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2425/3000:  81%|████████  | 2425/3000 [18:13<04:21,  2.20it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2425/3000:  81%|████████  | 2425/3000 [18:13<04:21,  2.20it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2426/3000:  81%|████████  | 2425/3000 [18:13<04:21,  2.20it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2426/3000:  81%|████████  | 2426/3000 [18:14<04:22,  2.19it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2426/3000:  81%|████████  | 2426/3000 [18:14<04:22,  2.19it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2427/3000:  81%|████████  | 2426/3000 [18:14<04:22,  2.19it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2427/3000:  81%|████████  | 2427/3000 [18:14<04:09,  2.30it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2427/3000:  81%|████████  | 2427/3000 [18:14<04:09,  2.30it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2428/3000:  81%|████████  | 2427/3000 [18:14<04:09,  2.30it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2428/3000:  81%|████████  | 2428/3000 [18:15<03:57,  2.41it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2428/3000:  81%|████████  | 2428/3000 [18:15<03:57,  2.41it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2429/3000:  81%|████████  | 2428/3000 [18:15<03:57,  2.41it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2429/3000:  81%|████████  | 2429/3000 [18:15<04:05,  2.33it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2429/3000:  81%|████████  | 2429/3000 [18:15<04:05,  2.33it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2430/3000:  81%|████████  | 2429/3000 [18:15<04:05,  2.33it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2430/3000:  81%|████████  | 2430/3000 [18:15<04:01,  2.36it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2430/3000:  81%|████████  | 2430/3000 [18:15<04:01,  2.36it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2431/3000:  81%|████████  | 2430/3000 [18:15<04:01,  2.36it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2431/3000:  81%|████████  | 2431/3000 [18:16<03:57,  2.39it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2431/3000:  81%|████████  | 2431/3000 [18:16<03:57,  2.39it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2432/3000:  81%|████████  | 2431/3000 [18:16<03:57,  2.39it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2432/3000:  81%|████████  | 2432/3000 [18:16<03:48,  2.49it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2432/3000:  81%|████████  | 2432/3000 [18:16<03:48,  2.49it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2433/3000:  81%|████████  | 2432/3000 [18:16<03:48,  2.49it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2433/3000:  81%|████████  | 2433/3000 [18:17<03:53,  2.43it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2433/3000:  81%|████████  | 2433/3000 [18:17<03:53,  2.43it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2434/3000:  81%|████████  | 2433/3000 [18:17<03:53,  2.43it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2434/3000:  81%|████████  | 2434/3000 [18:17<04:02,  2.34it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2434/3000:  81%|████████  | 2434/3000 [18:17<04:02,  2.34it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2435/3000:  81%|████████  | 2434/3000 [18:17<04:02,  2.34it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2435/3000:  81%|████████  | 2435/3000 [18:18<04:17,  2.19it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2435/3000:  81%|████████  | 2435/3000 [18:18<04:17,  2.19it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2436/3000:  81%|████████  | 2435/3000 [18:18<04:17,  2.19it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2436/3000:  81%|████████  | 2436/3000 [18:18<04:35,  2.05it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2436/3000:  81%|████████  | 2436/3000 [18:18<04:35,  2.05it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2437/3000:  81%|████████  | 2436/3000 [18:18<04:35,  2.05it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2437/3000:  81%|████████  | 2437/3000 [18:19<04:13,  2.22it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2437/3000:  81%|████████  | 2437/3000 [18:19<04:13,  2.22it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2438/3000:  81%|████████  | 2437/3000 [18:19<04:13,  2.22it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2438/3000:  81%|████████▏ | 2438/3000 [18:19<04:25,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.06e+6]Epoch 2438/3000:  81%|████████▏ | 2438/3000 [18:19<04:25,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2439/3000:  81%|████████▏ | 2438/3000 [18:19<04:25,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2439/3000:  81%|████████▏ | 2439/3000 [18:19<04:07,  2.26it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2439/3000:  81%|████████▏ | 2439/3000 [18:19<04:07,  2.26it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2440/3000:  81%|████████▏ | 2439/3000 [18:19<04:07,  2.26it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2440/3000:  81%|████████▏ | 2440/3000 [18:20<04:09,  2.24it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2440/3000:  81%|████████▏ | 2440/3000 [18:20<04:09,  2.24it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2441/3000:  81%|████████▏ | 2440/3000 [18:20<04:09,  2.24it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2441/3000:  81%|████████▏ | 2441/3000 [18:20<04:22,  2.13it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2441/3000:  81%|████████▏ | 2441/3000 [18:20<04:22,  2.13it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2442/3000:  81%|████████▏ | 2441/3000 [18:20<04:22,  2.13it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2442/3000:  81%|████████▏ | 2442/3000 [18:21<04:08,  2.25it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2442/3000:  81%|████████▏ | 2442/3000 [18:21<04:08,  2.25it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2443/3000:  81%|████████▏ | 2442/3000 [18:21<04:08,  2.25it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2443/3000:  81%|████████▏ | 2443/3000 [18:21<04:01,  2.31it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2443/3000:  81%|████████▏ | 2443/3000 [18:21<04:01,  2.31it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2444/3000:  81%|████████▏ | 2443/3000 [18:21<04:01,  2.31it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2444/3000:  81%|████████▏ | 2444/3000 [18:22<04:14,  2.18it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2444/3000:  81%|████████▏ | 2444/3000 [18:22<04:14,  2.18it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2445/3000:  81%|████████▏ | 2444/3000 [18:22<04:14,  2.18it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2445/3000:  82%|████████▏ | 2445/3000 [18:22<03:57,  2.34it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2445/3000:  82%|████████▏ | 2445/3000 [18:22<03:57,  2.34it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2446/3000:  82%|████████▏ | 2445/3000 [18:22<03:57,  2.34it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2446/3000:  82%|████████▏ | 2446/3000 [18:22<03:38,  2.53it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2446/3000:  82%|████████▏ | 2446/3000 [18:22<03:38,  2.53it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2447/3000:  82%|████████▏ | 2446/3000 [18:22<03:38,  2.53it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2447/3000:  82%|████████▏ | 2447/3000 [18:23<03:18,  2.79it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2447/3000:  82%|████████▏ | 2447/3000 [18:23<03:18,  2.79it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2448/3000:  82%|████████▏ | 2447/3000 [18:23<03:18,  2.79it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2448/3000:  82%|████████▏ | 2448/3000 [18:23<03:52,  2.37it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2448/3000:  82%|████████▏ | 2448/3000 [18:23<03:52,  2.37it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2449/3000:  82%|████████▏ | 2448/3000 [18:23<03:52,  2.37it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2449/3000:  82%|████████▏ | 2449/3000 [18:24<04:01,  2.29it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.06e+6]Epoch 2449/3000:  82%|████████▏ | 2449/3000 [18:24<04:01,  2.29it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2450/3000:  82%|████████▏ | 2449/3000 [18:24<04:01,  2.29it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2450/3000:  82%|████████▏ | 2450/3000 [18:24<04:13,  2.17it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.06e+6]Epoch 2450/3000:  82%|████████▏ | 2450/3000 [18:24<04:13,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2451/3000:  82%|████████▏ | 2450/3000 [18:24<04:13,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2451/3000:  82%|████████▏ | 2451/3000 [18:25<04:16,  2.14it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2451/3000:  82%|████████▏ | 2451/3000 [18:25<04:16,  2.14it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2452/3000:  82%|████████▏ | 2451/3000 [18:25<04:16,  2.14it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2452/3000:  82%|████████▏ | 2452/3000 [18:25<04:35,  1.99it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.06e+6]Epoch 2452/3000:  82%|████████▏ | 2452/3000 [18:25<04:35,  1.99it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.06e+6]Epoch 2453/3000:  82%|████████▏ | 2452/3000 [18:25<04:35,  1.99it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.06e+6]Epoch 2453/3000:  82%|████████▏ | 2453/3000 [18:26<04:42,  1.94it/s, v_num=1, train_loss_step=1.09e+6, train_loss_epoch=1.06e+6]Epoch 2453/3000:  82%|████████▏ | 2453/3000 [18:26<04:42,  1.94it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2454/3000:  82%|████████▏ | 2453/3000 [18:26<04:42,  1.94it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2454/3000:  82%|████████▏ | 2454/3000 [18:26<04:15,  2.13it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.06e+6]Epoch 2454/3000:  82%|████████▏ | 2454/3000 [18:26<04:15,  2.13it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2455/3000:  82%|████████▏ | 2454/3000 [18:26<04:15,  2.13it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2455/3000:  82%|████████▏ | 2455/3000 [18:27<03:43,  2.44it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2455/3000:  82%|████████▏ | 2455/3000 [18:27<03:43,  2.44it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2456/3000:  82%|████████▏ | 2455/3000 [18:27<03:43,  2.44it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2456/3000:  82%|████████▏ | 2456/3000 [18:27<03:41,  2.46it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2456/3000:  82%|████████▏ | 2456/3000 [18:27<03:41,  2.46it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2457/3000:  82%|████████▏ | 2456/3000 [18:27<03:41,  2.46it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2457/3000:  82%|████████▏ | 2457/3000 [18:27<03:58,  2.28it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2457/3000:  82%|████████▏ | 2457/3000 [18:27<03:58,  2.28it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2458/3000:  82%|████████▏ | 2457/3000 [18:27<03:58,  2.28it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2458/3000:  82%|████████▏ | 2458/3000 [18:28<03:45,  2.40it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2458/3000:  82%|████████▏ | 2458/3000 [18:28<03:45,  2.40it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2459/3000:  82%|████████▏ | 2458/3000 [18:28<03:45,  2.40it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2459/3000:  82%|████████▏ | 2459/3000 [18:28<03:52,  2.33it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2459/3000:  82%|████████▏ | 2459/3000 [18:28<03:52,  2.33it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2460/3000:  82%|████████▏ | 2459/3000 [18:28<03:52,  2.33it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2460/3000:  82%|████████▏ | 2460/3000 [18:29<03:49,  2.36it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2460/3000:  82%|████████▏ | 2460/3000 [18:29<03:49,  2.36it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2461/3000:  82%|████████▏ | 2460/3000 [18:29<03:49,  2.36it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2461/3000:  82%|████████▏ | 2461/3000 [18:29<03:41,  2.44it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2461/3000:  82%|████████▏ | 2461/3000 [18:29<03:41,  2.44it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2462/3000:  82%|████████▏ | 2461/3000 [18:29<03:41,  2.44it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2462/3000:  82%|████████▏ | 2462/3000 [18:29<03:39,  2.45it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2462/3000:  82%|████████▏ | 2462/3000 [18:29<03:39,  2.45it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2463/3000:  82%|████████▏ | 2462/3000 [18:29<03:39,  2.45it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2463/3000:  82%|████████▏ | 2463/3000 [18:30<03:49,  2.34it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2463/3000:  82%|████████▏ | 2463/3000 [18:30<03:49,  2.34it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2464/3000:  82%|████████▏ | 2463/3000 [18:30<03:49,  2.34it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2464/3000:  82%|████████▏ | 2464/3000 [18:30<03:56,  2.27it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2464/3000:  82%|████████▏ | 2464/3000 [18:30<03:56,  2.27it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2465/3000:  82%|████████▏ | 2464/3000 [18:30<03:56,  2.27it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2465/3000:  82%|████████▏ | 2465/3000 [18:31<04:11,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2465/3000:  82%|████████▏ | 2465/3000 [18:31<04:11,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2466/3000:  82%|████████▏ | 2465/3000 [18:31<04:11,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2466/3000:  82%|████████▏ | 2466/3000 [18:32<04:37,  1.93it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2466/3000:  82%|████████▏ | 2466/3000 [18:32<04:37,  1.93it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2467/3000:  82%|████████▏ | 2466/3000 [18:32<04:37,  1.93it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2467/3000:  82%|████████▏ | 2467/3000 [18:32<04:02,  2.20it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2467/3000:  82%|████████▏ | 2467/3000 [18:32<04:02,  2.20it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2468/3000:  82%|████████▏ | 2467/3000 [18:32<04:02,  2.20it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2468/3000:  82%|████████▏ | 2468/3000 [18:32<03:26,  2.57it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2468/3000:  82%|████████▏ | 2468/3000 [18:32<03:26,  2.57it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2469/3000:  82%|████████▏ | 2468/3000 [18:32<03:26,  2.57it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2469/3000:  82%|████████▏ | 2469/3000 [18:32<03:06,  2.85it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2469/3000:  82%|████████▏ | 2469/3000 [18:32<03:06,  2.85it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2470/3000:  82%|████████▏ | 2469/3000 [18:32<03:06,  2.85it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2470/3000:  82%|████████▏ | 2470/3000 [18:33<02:58,  2.97it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2470/3000:  82%|████████▏ | 2470/3000 [18:33<02:58,  2.97it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2471/3000:  82%|████████▏ | 2470/3000 [18:33<02:58,  2.97it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2471/3000:  82%|████████▏ | 2471/3000 [18:33<02:38,  3.33it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2471/3000:  82%|████████▏ | 2471/3000 [18:33<02:38,  3.33it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2472/3000:  82%|████████▏ | 2471/3000 [18:33<02:38,  3.33it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2472/3000:  82%|████████▏ | 2472/3000 [18:33<02:27,  3.57it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2472/3000:  82%|████████▏ | 2472/3000 [18:33<02:27,  3.57it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2473/3000:  82%|████████▏ | 2472/3000 [18:33<02:27,  3.57it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2473/3000:  82%|████████▏ | 2473/3000 [18:33<02:21,  3.71it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2473/3000:  82%|████████▏ | 2473/3000 [18:33<02:21,  3.71it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2474/3000:  82%|████████▏ | 2473/3000 [18:33<02:21,  3.71it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2474/3000:  82%|████████▏ | 2474/3000 [18:34<02:14,  3.92it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2474/3000:  82%|████████▏ | 2474/3000 [18:34<02:14,  3.92it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2475/3000:  82%|████████▏ | 2474/3000 [18:34<02:14,  3.92it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2475/3000:  82%|████████▎ | 2475/3000 [18:34<02:15,  3.88it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2475/3000:  82%|████████▎ | 2475/3000 [18:34<02:15,  3.88it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2476/3000:  82%|████████▎ | 2475/3000 [18:34<02:15,  3.88it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2476/3000:  83%|████████▎ | 2476/3000 [18:34<02:12,  3.95it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2476/3000:  83%|████████▎ | 2476/3000 [18:34<02:12,  3.95it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2477/3000:  83%|████████▎ | 2476/3000 [18:34<02:12,  3.95it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2477/3000:  83%|████████▎ | 2477/3000 [18:34<02:15,  3.86it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2477/3000:  83%|████████▎ | 2477/3000 [18:34<02:15,  3.86it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2478/3000:  83%|████████▎ | 2477/3000 [18:34<02:15,  3.86it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2478/3000:  83%|████████▎ | 2478/3000 [18:35<02:15,  3.86it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2478/3000:  83%|████████▎ | 2478/3000 [18:35<02:15,  3.86it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2479/3000:  83%|████████▎ | 2478/3000 [18:35<02:15,  3.86it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2479/3000:  83%|████████▎ | 2479/3000 [18:35<02:50,  3.06it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2479/3000:  83%|████████▎ | 2479/3000 [18:35<02:50,  3.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2480/3000:  83%|████████▎ | 2479/3000 [18:35<02:50,  3.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2480/3000:  83%|████████▎ | 2480/3000 [18:36<03:08,  2.75it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2480/3000:  83%|████████▎ | 2480/3000 [18:36<03:08,  2.75it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2481/3000:  83%|████████▎ | 2480/3000 [18:36<03:08,  2.75it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2481/3000:  83%|████████▎ | 2481/3000 [18:36<03:16,  2.65it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2481/3000:  83%|████████▎ | 2481/3000 [18:36<03:16,  2.65it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2482/3000:  83%|████████▎ | 2481/3000 [18:36<03:16,  2.65it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2482/3000:  83%|████████▎ | 2482/3000 [18:37<03:46,  2.28it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2482/3000:  83%|████████▎ | 2482/3000 [18:37<03:46,  2.28it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2483/3000:  83%|████████▎ | 2482/3000 [18:37<03:46,  2.28it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2483/3000:  83%|████████▎ | 2483/3000 [18:37<03:53,  2.21it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2483/3000:  83%|████████▎ | 2483/3000 [18:37<03:53,  2.21it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2484/3000:  83%|████████▎ | 2483/3000 [18:37<03:53,  2.21it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2484/3000:  83%|████████▎ | 2484/3000 [18:37<03:46,  2.28it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2484/3000:  83%|████████▎ | 2484/3000 [18:37<03:46,  2.28it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2485/3000:  83%|████████▎ | 2484/3000 [18:37<03:46,  2.28it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2485/3000:  83%|████████▎ | 2485/3000 [18:38<03:54,  2.19it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2485/3000:  83%|████████▎ | 2485/3000 [18:38<03:54,  2.19it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2486/3000:  83%|████████▎ | 2485/3000 [18:38<03:54,  2.19it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2486/3000:  83%|████████▎ | 2486/3000 [18:38<04:09,  2.06it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2486/3000:  83%|████████▎ | 2486/3000 [18:38<04:09,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2487/3000:  83%|████████▎ | 2486/3000 [18:38<04:09,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2487/3000:  83%|████████▎ | 2487/3000 [18:39<03:50,  2.23it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2487/3000:  83%|████████▎ | 2487/3000 [18:39<03:50,  2.23it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2488/3000:  83%|████████▎ | 2487/3000 [18:39<03:50,  2.23it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2488/3000:  83%|████████▎ | 2488/3000 [18:39<03:36,  2.36it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2488/3000:  83%|████████▎ | 2488/3000 [18:39<03:36,  2.36it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2489/3000:  83%|████████▎ | 2488/3000 [18:39<03:36,  2.36it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2489/3000:  83%|████████▎ | 2489/3000 [18:40<03:35,  2.37it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2489/3000:  83%|████████▎ | 2489/3000 [18:40<03:35,  2.37it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2490/3000:  83%|████████▎ | 2489/3000 [18:40<03:35,  2.37it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2490/3000:  83%|████████▎ | 2490/3000 [18:40<03:38,  2.33it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2490/3000:  83%|████████▎ | 2490/3000 [18:40<03:38,  2.33it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2491/3000:  83%|████████▎ | 2490/3000 [18:40<03:38,  2.33it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2491/3000:  83%|████████▎ | 2491/3000 [18:41<03:56,  2.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2491/3000:  83%|████████▎ | 2491/3000 [18:41<03:56,  2.15it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2492/3000:  83%|████████▎ | 2491/3000 [18:41<03:56,  2.15it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2492/3000:  83%|████████▎ | 2492/3000 [18:41<04:09,  2.03it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2492/3000:  83%|████████▎ | 2492/3000 [18:41<04:09,  2.03it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2493/3000:  83%|████████▎ | 2492/3000 [18:41<04:09,  2.03it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2493/3000:  83%|████████▎ | 2493/3000 [18:42<04:11,  2.01it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2493/3000:  83%|████████▎ | 2493/3000 [18:42<04:11,  2.01it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2494/3000:  83%|████████▎ | 2493/3000 [18:42<04:11,  2.01it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2494/3000:  83%|████████▎ | 2494/3000 [18:42<04:15,  1.98it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2494/3000:  83%|████████▎ | 2494/3000 [18:42<04:15,  1.98it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2495/3000:  83%|████████▎ | 2494/3000 [18:42<04:15,  1.98it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2495/3000:  83%|████████▎ | 2495/3000 [18:42<03:38,  2.32it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2495/3000:  83%|████████▎ | 2495/3000 [18:42<03:38,  2.32it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2496/3000:  83%|████████▎ | 2495/3000 [18:42<03:38,  2.32it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2496/3000:  83%|████████▎ | 2496/3000 [18:43<03:38,  2.30it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2496/3000:  83%|████████▎ | 2496/3000 [18:43<03:38,  2.30it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2497/3000:  83%|████████▎ | 2496/3000 [18:43<03:38,  2.30it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2497/3000:  83%|████████▎ | 2497/3000 [18:43<03:49,  2.19it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2497/3000:  83%|████████▎ | 2497/3000 [18:43<03:49,  2.19it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2498/3000:  83%|████████▎ | 2497/3000 [18:43<03:49,  2.19it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2498/3000:  83%|████████▎ | 2498/3000 [18:44<03:45,  2.22it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2498/3000:  83%|████████▎ | 2498/3000 [18:44<03:45,  2.22it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2499/3000:  83%|████████▎ | 2498/3000 [18:44<03:45,  2.22it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2499/3000:  83%|████████▎ | 2499/3000 [18:44<03:40,  2.27it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2499/3000:  83%|████████▎ | 2499/3000 [18:44<03:40,  2.27it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2500/3000:  83%|████████▎ | 2499/3000 [18:44<03:40,  2.27it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2500/3000:  83%|████████▎ | 2500/3000 [18:45<03:59,  2.08it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2500/3000:  83%|████████▎ | 2500/3000 [18:45<03:59,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2501/3000:  83%|████████▎ | 2500/3000 [18:45<03:59,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2501/3000:  83%|████████▎ | 2501/3000 [18:45<04:13,  1.97it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2501/3000:  83%|████████▎ | 2501/3000 [18:45<04:13,  1.97it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2502/3000:  83%|████████▎ | 2501/3000 [18:45<04:13,  1.97it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2502/3000:  83%|████████▎ | 2502/3000 [18:46<04:09,  1.99it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2502/3000:  83%|████████▎ | 2502/3000 [18:46<04:09,  1.99it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2503/3000:  83%|████████▎ | 2502/3000 [18:46<04:09,  1.99it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2503/3000:  83%|████████▎ | 2503/3000 [18:46<04:13,  1.96it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2503/3000:  83%|████████▎ | 2503/3000 [18:46<04:13,  1.96it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2504/3000:  83%|████████▎ | 2503/3000 [18:46<04:13,  1.96it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2504/3000:  83%|████████▎ | 2504/3000 [18:47<03:54,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2504/3000:  83%|████████▎ | 2504/3000 [18:47<03:54,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2505/3000:  83%|████████▎ | 2504/3000 [18:47<03:54,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2505/3000:  84%|████████▎ | 2505/3000 [18:47<04:02,  2.04it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2505/3000:  84%|████████▎ | 2505/3000 [18:47<04:02,  2.04it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2506/3000:  84%|████████▎ | 2505/3000 [18:47<04:02,  2.04it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2506/3000:  84%|████████▎ | 2506/3000 [18:48<03:30,  2.34it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2506/3000:  84%|████████▎ | 2506/3000 [18:48<03:30,  2.34it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2507/3000:  84%|████████▎ | 2506/3000 [18:48<03:30,  2.34it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2507/3000:  84%|████████▎ | 2507/3000 [18:48<03:19,  2.48it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2507/3000:  84%|████████▎ | 2507/3000 [18:48<03:19,  2.48it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2508/3000:  84%|████████▎ | 2507/3000 [18:48<03:19,  2.48it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2508/3000:  84%|████████▎ | 2508/3000 [18:48<03:29,  2.35it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2508/3000:  84%|████████▎ | 2508/3000 [18:48<03:29,  2.35it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2509/3000:  84%|████████▎ | 2508/3000 [18:48<03:29,  2.35it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2509/3000:  84%|████████▎ | 2509/3000 [18:49<03:34,  2.29it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2509/3000:  84%|████████▎ | 2509/3000 [18:49<03:34,  2.29it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2510/3000:  84%|████████▎ | 2509/3000 [18:49<03:34,  2.29it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2510/3000:  84%|████████▎ | 2510/3000 [18:49<03:06,  2.63it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2510/3000:  84%|████████▎ | 2510/3000 [18:49<03:06,  2.63it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2511/3000:  84%|████████▎ | 2510/3000 [18:49<03:06,  2.63it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2511/3000:  84%|████████▎ | 2511/3000 [18:50<03:23,  2.40it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2511/3000:  84%|████████▎ | 2511/3000 [18:50<03:23,  2.40it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2512/3000:  84%|████████▎ | 2511/3000 [18:50<03:23,  2.40it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2512/3000:  84%|████████▎ | 2512/3000 [18:50<03:13,  2.52it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2512/3000:  84%|████████▎ | 2512/3000 [18:50<03:13,  2.52it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.05e+6]Epoch 2513/3000:  84%|████████▎ | 2512/3000 [18:50<03:13,  2.52it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.05e+6]Epoch 2513/3000:  84%|████████▍ | 2513/3000 [18:51<03:24,  2.38it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.05e+6]Epoch 2513/3000:  84%|████████▍ | 2513/3000 [18:51<03:24,  2.38it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2514/3000:  84%|████████▍ | 2513/3000 [18:51<03:24,  2.38it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2514/3000:  84%|████████▍ | 2514/3000 [18:51<03:16,  2.48it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2514/3000:  84%|████████▍ | 2514/3000 [18:51<03:16,  2.48it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2515/3000:  84%|████████▍ | 2514/3000 [18:51<03:16,  2.48it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2515/3000:  84%|████████▍ | 2515/3000 [18:51<03:40,  2.20it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2515/3000:  84%|████████▍ | 2515/3000 [18:51<03:40,  2.20it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2516/3000:  84%|████████▍ | 2515/3000 [18:51<03:40,  2.20it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2516/3000:  84%|████████▍ | 2516/3000 [18:52<03:14,  2.49it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2516/3000:  84%|████████▍ | 2516/3000 [18:52<03:14,  2.49it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2517/3000:  84%|████████▍ | 2516/3000 [18:52<03:14,  2.49it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2517/3000:  84%|████████▍ | 2517/3000 [18:52<03:23,  2.37it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2517/3000:  84%|████████▍ | 2517/3000 [18:52<03:23,  2.37it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2518/3000:  84%|████████▍ | 2517/3000 [18:52<03:23,  2.37it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2518/3000:  84%|████████▍ | 2518/3000 [18:53<04:03,  1.98it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2518/3000:  84%|████████▍ | 2518/3000 [18:53<04:03,  1.98it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2519/3000:  84%|████████▍ | 2518/3000 [18:53<04:03,  1.98it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2519/3000:  84%|████████▍ | 2519/3000 [18:53<04:07,  1.95it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2519/3000:  84%|████████▍ | 2519/3000 [18:53<04:07,  1.95it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2520/3000:  84%|████████▍ | 2519/3000 [18:53<04:07,  1.95it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2520/3000:  84%|████████▍ | 2520/3000 [18:54<04:07,  1.94it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2520/3000:  84%|████████▍ | 2520/3000 [18:54<04:07,  1.94it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2521/3000:  84%|████████▍ | 2520/3000 [18:54<04:07,  1.94it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2521/3000:  84%|████████▍ | 2521/3000 [18:55<04:18,  1.85it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2521/3000:  84%|████████▍ | 2521/3000 [18:55<04:18,  1.85it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2522/3000:  84%|████████▍ | 2521/3000 [18:55<04:18,  1.85it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2522/3000:  84%|████████▍ | 2522/3000 [18:55<04:02,  1.97it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2522/3000:  84%|████████▍ | 2522/3000 [18:55<04:02,  1.97it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2523/3000:  84%|████████▍ | 2522/3000 [18:55<04:02,  1.97it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2523/3000:  84%|████████▍ | 2523/3000 [18:55<04:05,  1.94it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2523/3000:  84%|████████▍ | 2523/3000 [18:55<04:05,  1.94it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2524/3000:  84%|████████▍ | 2523/3000 [18:56<04:05,  1.94it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2524/3000:  84%|████████▍ | 2524/3000 [18:56<03:54,  2.03it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2524/3000:  84%|████████▍ | 2524/3000 [18:56<03:54,  2.03it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2525/3000:  84%|████████▍ | 2524/3000 [18:56<03:54,  2.03it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2525/3000:  84%|████████▍ | 2525/3000 [18:56<03:53,  2.04it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2525/3000:  84%|████████▍ | 2525/3000 [18:56<03:53,  2.04it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2526/3000:  84%|████████▍ | 2525/3000 [18:56<03:53,  2.04it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2526/3000:  84%|████████▍ | 2526/3000 [18:57<04:06,  1.92it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2526/3000:  84%|████████▍ | 2526/3000 [18:57<04:06,  1.92it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2527/3000:  84%|████████▍ | 2526/3000 [18:57<04:06,  1.92it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2527/3000:  84%|████████▍ | 2527/3000 [18:57<03:56,  2.00it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2527/3000:  84%|████████▍ | 2527/3000 [18:57<03:56,  2.00it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2528/3000:  84%|████████▍ | 2527/3000 [18:57<03:56,  2.00it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2528/3000:  84%|████████▍ | 2528/3000 [18:58<03:51,  2.04it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2528/3000:  84%|████████▍ | 2528/3000 [18:58<03:51,  2.04it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2529/3000:  84%|████████▍ | 2528/3000 [18:58<03:51,  2.04it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2529/3000:  84%|████████▍ | 2529/3000 [18:59<04:04,  1.92it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2529/3000:  84%|████████▍ | 2529/3000 [18:59<04:04,  1.92it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2530/3000:  84%|████████▍ | 2529/3000 [18:59<04:04,  1.92it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2530/3000:  84%|████████▍ | 2530/3000 [18:59<03:40,  2.13it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2530/3000:  84%|████████▍ | 2530/3000 [18:59<03:40,  2.13it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2531/3000:  84%|████████▍ | 2530/3000 [18:59<03:40,  2.13it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2531/3000:  84%|████████▍ | 2531/3000 [18:59<03:43,  2.10it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2531/3000:  84%|████████▍ | 2531/3000 [18:59<03:43,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2532/3000:  84%|████████▍ | 2531/3000 [18:59<03:43,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2532/3000:  84%|████████▍ | 2532/3000 [19:00<03:27,  2.26it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2532/3000:  84%|████████▍ | 2532/3000 [19:00<03:27,  2.26it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2533/3000:  84%|████████▍ | 2532/3000 [19:00<03:27,  2.26it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2533/3000:  84%|████████▍ | 2533/3000 [19:00<03:28,  2.24it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2533/3000:  84%|████████▍ | 2533/3000 [19:00<03:28,  2.24it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2534/3000:  84%|████████▍ | 2533/3000 [19:00<03:28,  2.24it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2534/3000:  84%|████████▍ | 2534/3000 [19:01<03:17,  2.36it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2534/3000:  84%|████████▍ | 2534/3000 [19:01<03:17,  2.36it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2535/3000:  84%|████████▍ | 2534/3000 [19:01<03:17,  2.36it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2535/3000:  84%|████████▍ | 2535/3000 [19:01<03:11,  2.43it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2535/3000:  84%|████████▍ | 2535/3000 [19:01<03:11,  2.43it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2536/3000:  84%|████████▍ | 2535/3000 [19:01<03:11,  2.43it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2536/3000:  85%|████████▍ | 2536/3000 [19:01<03:08,  2.46it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2536/3000:  85%|████████▍ | 2536/3000 [19:01<03:08,  2.46it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2537/3000:  85%|████████▍ | 2536/3000 [19:01<03:08,  2.46it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2537/3000:  85%|████████▍ | 2537/3000 [19:02<03:10,  2.44it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2537/3000:  85%|████████▍ | 2537/3000 [19:02<03:10,  2.44it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.05e+6]Epoch 2538/3000:  85%|████████▍ | 2537/3000 [19:02<03:10,  2.44it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.05e+6]Epoch 2538/3000:  85%|████████▍ | 2538/3000 [19:02<03:17,  2.34it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.05e+6]Epoch 2538/3000:  85%|████████▍ | 2538/3000 [19:02<03:17,  2.34it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2539/3000:  85%|████████▍ | 2538/3000 [19:02<03:17,  2.34it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2539/3000:  85%|████████▍ | 2539/3000 [19:03<03:10,  2.42it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2539/3000:  85%|████████▍ | 2539/3000 [19:03<03:10,  2.42it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.05e+6]Epoch 2540/3000:  85%|████████▍ | 2539/3000 [19:03<03:10,  2.42it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.05e+6]Epoch 2540/3000:  85%|████████▍ | 2540/3000 [19:03<03:07,  2.45it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.05e+6]Epoch 2540/3000:  85%|████████▍ | 2540/3000 [19:03<03:07,  2.45it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2541/3000:  85%|████████▍ | 2540/3000 [19:03<03:07,  2.45it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2541/3000:  85%|████████▍ | 2541/3000 [19:04<03:35,  2.13it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2541/3000:  85%|████████▍ | 2541/3000 [19:04<03:35,  2.13it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2542/3000:  85%|████████▍ | 2541/3000 [19:04<03:35,  2.13it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2542/3000:  85%|████████▍ | 2542/3000 [19:04<03:32,  2.16it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2542/3000:  85%|████████▍ | 2542/3000 [19:04<03:32,  2.16it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2543/3000:  85%|████████▍ | 2542/3000 [19:04<03:32,  2.16it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2543/3000:  85%|████████▍ | 2543/3000 [19:05<03:43,  2.05it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.05e+6]Epoch 2543/3000:  85%|████████▍ | 2543/3000 [19:05<03:43,  2.05it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2544/3000:  85%|████████▍ | 2543/3000 [19:05<03:43,  2.05it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2544/3000:  85%|████████▍ | 2544/3000 [19:05<03:53,  1.95it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2544/3000:  85%|████████▍ | 2544/3000 [19:05<03:53,  1.95it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2545/3000:  85%|████████▍ | 2544/3000 [19:05<03:53,  1.95it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2545/3000:  85%|████████▍ | 2545/3000 [19:06<03:59,  1.90it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2545/3000:  85%|████████▍ | 2545/3000 [19:06<03:59,  1.90it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2546/3000:  85%|████████▍ | 2545/3000 [19:06<03:59,  1.90it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2546/3000:  85%|████████▍ | 2546/3000 [19:06<03:42,  2.04it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2546/3000:  85%|████████▍ | 2546/3000 [19:06<03:42,  2.04it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2547/3000:  85%|████████▍ | 2546/3000 [19:06<03:42,  2.04it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2547/3000:  85%|████████▍ | 2547/3000 [19:07<03:52,  1.94it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2547/3000:  85%|████████▍ | 2547/3000 [19:07<03:52,  1.94it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2548/3000:  85%|████████▍ | 2547/3000 [19:07<03:52,  1.94it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2548/3000:  85%|████████▍ | 2548/3000 [19:07<03:57,  1.91it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2548/3000:  85%|████████▍ | 2548/3000 [19:07<03:57,  1.91it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2549/3000:  85%|████████▍ | 2548/3000 [19:07<03:57,  1.91it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2549/3000:  85%|████████▍ | 2549/3000 [19:08<03:39,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2549/3000:  85%|████████▍ | 2549/3000 [19:08<03:39,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2550/3000:  85%|████████▍ | 2549/3000 [19:08<03:39,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2550/3000:  85%|████████▌ | 2550/3000 [19:08<03:17,  2.27it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2550/3000:  85%|████████▌ | 2550/3000 [19:08<03:17,  2.27it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2551/3000:  85%|████████▌ | 2550/3000 [19:08<03:17,  2.27it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2551/3000:  85%|████████▌ | 2551/3000 [19:08<02:55,  2.56it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2551/3000:  85%|████████▌ | 2551/3000 [19:08<02:55,  2.56it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2552/3000:  85%|████████▌ | 2551/3000 [19:08<02:55,  2.56it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2552/3000:  85%|████████▌ | 2552/3000 [19:09<02:47,  2.67it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2552/3000:  85%|████████▌ | 2552/3000 [19:09<02:47,  2.67it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2553/3000:  85%|████████▌ | 2552/3000 [19:09<02:47,  2.67it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2553/3000:  85%|████████▌ | 2553/3000 [19:09<02:54,  2.56it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2553/3000:  85%|████████▌ | 2553/3000 [19:09<02:54,  2.56it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2554/3000:  85%|████████▌ | 2553/3000 [19:09<02:54,  2.56it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2554/3000:  85%|████████▌ | 2554/3000 [19:10<03:16,  2.27it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2554/3000:  85%|████████▌ | 2554/3000 [19:10<03:16,  2.27it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.05e+6]Epoch 2555/3000:  85%|████████▌ | 2554/3000 [19:10<03:16,  2.27it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.05e+6]Epoch 2555/3000:  85%|████████▌ | 2555/3000 [19:10<03:25,  2.17it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.05e+6]Epoch 2555/3000:  85%|████████▌ | 2555/3000 [19:10<03:25,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2556/3000:  85%|████████▌ | 2555/3000 [19:10<03:25,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2556/3000:  85%|████████▌ | 2556/3000 [19:11<03:29,  2.12it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2556/3000:  85%|████████▌ | 2556/3000 [19:11<03:29,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2557/3000:  85%|████████▌ | 2556/3000 [19:11<03:29,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2557/3000:  85%|████████▌ | 2557/3000 [19:11<03:18,  2.24it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2557/3000:  85%|████████▌ | 2557/3000 [19:11<03:18,  2.24it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2558/3000:  85%|████████▌ | 2557/3000 [19:11<03:18,  2.24it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2558/3000:  85%|████████▌ | 2558/3000 [19:11<03:02,  2.42it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2558/3000:  85%|████████▌ | 2558/3000 [19:11<03:02,  2.42it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.05e+6]Epoch 2559/3000:  85%|████████▌ | 2558/3000 [19:11<03:02,  2.42it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.05e+6]Epoch 2559/3000:  85%|████████▌ | 2559/3000 [19:12<03:28,  2.12it/s, v_num=1, train_loss_step=1.08e+6, train_loss_epoch=1.05e+6]Epoch 2559/3000:  85%|████████▌ | 2559/3000 [19:12<03:28,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2560/3000:  85%|████████▌ | 2559/3000 [19:12<03:28,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2560/3000:  85%|████████▌ | 2560/3000 [19:12<03:22,  2.17it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2560/3000:  85%|████████▌ | 2560/3000 [19:12<03:22,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2561/3000:  85%|████████▌ | 2560/3000 [19:12<03:22,  2.17it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2561/3000:  85%|████████▌ | 2561/3000 [19:13<03:24,  2.15it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2561/3000:  85%|████████▌ | 2561/3000 [19:13<03:24,  2.15it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2562/3000:  85%|████████▌ | 2561/3000 [19:13<03:24,  2.15it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2562/3000:  85%|████████▌ | 2562/3000 [19:13<03:13,  2.26it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2562/3000:  85%|████████▌ | 2562/3000 [19:13<03:13,  2.26it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2563/3000:  85%|████████▌ | 2562/3000 [19:13<03:13,  2.26it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2563/3000:  85%|████████▌ | 2563/3000 [19:14<03:20,  2.18it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2563/3000:  85%|████████▌ | 2563/3000 [19:14<03:20,  2.18it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2564/3000:  85%|████████▌ | 2563/3000 [19:14<03:20,  2.18it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2564/3000:  85%|████████▌ | 2564/3000 [19:14<03:46,  1.93it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2564/3000:  85%|████████▌ | 2564/3000 [19:14<03:46,  1.93it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2565/3000:  85%|████████▌ | 2564/3000 [19:14<03:46,  1.93it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2565/3000:  86%|████████▌ | 2565/3000 [19:15<03:36,  2.01it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2565/3000:  86%|████████▌ | 2565/3000 [19:15<03:36,  2.01it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2566/3000:  86%|████████▌ | 2565/3000 [19:15<03:36,  2.01it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2566/3000:  86%|████████▌ | 2566/3000 [19:15<03:49,  1.89it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2566/3000:  86%|████████▌ | 2566/3000 [19:15<03:49,  1.89it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2567/3000:  86%|████████▌ | 2566/3000 [19:15<03:49,  1.89it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2567/3000:  86%|████████▌ | 2567/3000 [19:16<03:01,  2.39it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2567/3000:  86%|████████▌ | 2567/3000 [19:16<03:01,  2.39it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2568/3000:  86%|████████▌ | 2567/3000 [19:16<03:01,  2.39it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2568/3000:  86%|████████▌ | 2568/3000 [19:16<03:07,  2.30it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2568/3000:  86%|████████▌ | 2568/3000 [19:16<03:07,  2.30it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2569/3000:  86%|████████▌ | 2568/3000 [19:16<03:07,  2.30it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2569/3000:  86%|████████▌ | 2569/3000 [19:17<03:15,  2.21it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2569/3000:  86%|████████▌ | 2569/3000 [19:17<03:15,  2.21it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2570/3000:  86%|████████▌ | 2569/3000 [19:17<03:15,  2.21it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2570/3000:  86%|████████▌ | 2570/3000 [19:17<03:14,  2.22it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2570/3000:  86%|████████▌ | 2570/3000 [19:17<03:14,  2.22it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2571/3000:  86%|████████▌ | 2570/3000 [19:17<03:14,  2.22it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2571/3000:  86%|████████▌ | 2571/3000 [19:18<03:28,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2571/3000:  86%|████████▌ | 2571/3000 [19:18<03:28,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2572/3000:  86%|████████▌ | 2571/3000 [19:18<03:28,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2572/3000:  86%|████████▌ | 2572/3000 [19:18<03:28,  2.05it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2572/3000:  86%|████████▌ | 2572/3000 [19:18<03:28,  2.05it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2573/3000:  86%|████████▌ | 2572/3000 [19:18<03:28,  2.05it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2573/3000:  86%|████████▌ | 2573/3000 [19:19<03:34,  1.99it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.05e+6]Epoch 2573/3000:  86%|████████▌ | 2573/3000 [19:19<03:34,  1.99it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2574/3000:  86%|████████▌ | 2573/3000 [19:19<03:34,  1.99it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2574/3000:  86%|████████▌ | 2574/3000 [19:19<03:41,  1.92it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.05e+6]Epoch 2574/3000:  86%|████████▌ | 2574/3000 [19:19<03:41,  1.92it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2575/3000:  86%|████████▌ | 2574/3000 [19:19<03:41,  1.92it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2575/3000:  86%|████████▌ | 2575/3000 [19:20<03:20,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2575/3000:  86%|████████▌ | 2575/3000 [19:20<03:20,  2.12it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2576/3000:  86%|████████▌ | 2575/3000 [19:20<03:20,  2.12it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2576/3000:  86%|████████▌ | 2576/3000 [19:20<03:31,  2.01it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.05e+6]Epoch 2576/3000:  86%|████████▌ | 2576/3000 [19:20<03:31,  2.01it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2577/3000:  86%|████████▌ | 2576/3000 [19:20<03:31,  2.01it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2577/3000:  86%|████████▌ | 2577/3000 [19:21<03:27,  2.04it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.05e+6]Epoch 2577/3000:  86%|████████▌ | 2577/3000 [19:21<03:27,  2.04it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2578/3000:  86%|████████▌ | 2577/3000 [19:21<03:27,  2.04it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2578/3000:  86%|████████▌ | 2578/3000 [19:21<03:20,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2578/3000:  86%|████████▌ | 2578/3000 [19:21<03:20,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2579/3000:  86%|████████▌ | 2578/3000 [19:21<03:20,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2579/3000:  86%|████████▌ | 2579/3000 [19:21<03:06,  2.26it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2579/3000:  86%|████████▌ | 2579/3000 [19:21<03:06,  2.26it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2580/3000:  86%|████████▌ | 2579/3000 [19:21<03:06,  2.26it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2580/3000:  86%|████████▌ | 2580/3000 [19:22<03:03,  2.28it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2580/3000:  86%|████████▌ | 2580/3000 [19:22<03:03,  2.28it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2581/3000:  86%|████████▌ | 2580/3000 [19:22<03:03,  2.28it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2581/3000:  86%|████████▌ | 2581/3000 [19:22<03:22,  2.06it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2581/3000:  86%|████████▌ | 2581/3000 [19:22<03:22,  2.06it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2582/3000:  86%|████████▌ | 2581/3000 [19:22<03:22,  2.06it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2582/3000:  86%|████████▌ | 2582/3000 [19:23<03:24,  2.05it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2582/3000:  86%|████████▌ | 2582/3000 [19:23<03:24,  2.05it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2583/3000:  86%|████████▌ | 2582/3000 [19:23<03:24,  2.05it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2583/3000:  86%|████████▌ | 2583/3000 [19:23<03:10,  2.19it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2583/3000:  86%|████████▌ | 2583/3000 [19:23<03:10,  2.19it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2584/3000:  86%|████████▌ | 2583/3000 [19:23<03:10,  2.19it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2584/3000:  86%|████████▌ | 2584/3000 [19:24<03:21,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2584/3000:  86%|████████▌ | 2584/3000 [19:24<03:21,  2.06it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2585/3000:  86%|████████▌ | 2584/3000 [19:24<03:21,  2.06it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2585/3000:  86%|████████▌ | 2585/3000 [19:24<03:20,  2.07it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2585/3000:  86%|████████▌ | 2585/3000 [19:24<03:20,  2.07it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2586/3000:  86%|████████▌ | 2585/3000 [19:24<03:20,  2.07it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2586/3000:  86%|████████▌ | 2586/3000 [19:25<03:32,  1.94it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2586/3000:  86%|████████▌ | 2586/3000 [19:25<03:32,  1.94it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2587/3000:  86%|████████▌ | 2586/3000 [19:25<03:32,  1.94it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2587/3000:  86%|████████▌ | 2587/3000 [19:25<03:23,  2.03it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2587/3000:  86%|████████▌ | 2587/3000 [19:25<03:23,  2.03it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2588/3000:  86%|████████▌ | 2587/3000 [19:25<03:23,  2.03it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2588/3000:  86%|████████▋ | 2588/3000 [19:26<03:30,  1.96it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2588/3000:  86%|████████▋ | 2588/3000 [19:26<03:30,  1.96it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2589/3000:  86%|████████▋ | 2588/3000 [19:26<03:30,  1.96it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2589/3000:  86%|████████▋ | 2589/3000 [19:26<03:26,  1.99it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2589/3000:  86%|████████▋ | 2589/3000 [19:26<03:26,  1.99it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2590/3000:  86%|████████▋ | 2589/3000 [19:26<03:26,  1.99it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2590/3000:  86%|████████▋ | 2590/3000 [19:27<02:55,  2.34it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2590/3000:  86%|████████▋ | 2590/3000 [19:27<02:55,  2.34it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2591/3000:  86%|████████▋ | 2590/3000 [19:27<02:55,  2.34it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2591/3000:  86%|████████▋ | 2591/3000 [19:27<02:45,  2.47it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2591/3000:  86%|████████▋ | 2591/3000 [19:27<02:45,  2.47it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2592/3000:  86%|████████▋ | 2591/3000 [19:27<02:45,  2.47it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2592/3000:  86%|████████▋ | 2592/3000 [19:27<02:50,  2.39it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2592/3000:  86%|████████▋ | 2592/3000 [19:27<02:50,  2.39it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2593/3000:  86%|████████▋ | 2592/3000 [19:27<02:50,  2.39it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2593/3000:  86%|████████▋ | 2593/3000 [19:28<02:39,  2.55it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2593/3000:  86%|████████▋ | 2593/3000 [19:28<02:39,  2.55it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2594/3000:  86%|████████▋ | 2593/3000 [19:28<02:39,  2.55it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2594/3000:  86%|████████▋ | 2594/3000 [19:28<02:38,  2.56it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2594/3000:  86%|████████▋ | 2594/3000 [19:28<02:38,  2.56it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2595/3000:  86%|████████▋ | 2594/3000 [19:28<02:38,  2.56it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2595/3000:  86%|████████▋ | 2595/3000 [19:29<02:42,  2.49it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2595/3000:  86%|████████▋ | 2595/3000 [19:29<02:42,  2.49it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2596/3000:  86%|████████▋ | 2595/3000 [19:29<02:42,  2.49it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2596/3000:  87%|████████▋ | 2596/3000 [19:29<03:00,  2.24it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2596/3000:  87%|████████▋ | 2596/3000 [19:29<03:00,  2.24it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2597/3000:  87%|████████▋ | 2596/3000 [19:29<03:00,  2.24it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2597/3000:  87%|████████▋ | 2597/3000 [19:29<02:38,  2.54it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2597/3000:  87%|████████▋ | 2597/3000 [19:29<02:38,  2.54it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2598/3000:  87%|████████▋ | 2597/3000 [19:29<02:38,  2.54it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2598/3000:  87%|████████▋ | 2598/3000 [19:30<02:44,  2.45it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2598/3000:  87%|████████▋ | 2598/3000 [19:30<02:44,  2.45it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2599/3000:  87%|████████▋ | 2598/3000 [19:30<02:44,  2.45it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2599/3000:  87%|████████▋ | 2599/3000 [19:30<02:42,  2.47it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2599/3000:  87%|████████▋ | 2599/3000 [19:30<02:42,  2.47it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2600/3000:  87%|████████▋ | 2599/3000 [19:30<02:42,  2.47it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2600/3000:  87%|████████▋ | 2600/3000 [19:31<03:05,  2.16it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2600/3000:  87%|████████▋ | 2600/3000 [19:31<03:05,  2.16it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2601/3000:  87%|████████▋ | 2600/3000 [19:31<03:05,  2.16it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2601/3000:  87%|████████▋ | 2601/3000 [19:31<03:03,  2.17it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2601/3000:  87%|████████▋ | 2601/3000 [19:31<03:03,  2.17it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2602/3000:  87%|████████▋ | 2601/3000 [19:31<03:03,  2.17it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2602/3000:  87%|████████▋ | 2602/3000 [19:32<03:09,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2602/3000:  87%|████████▋ | 2602/3000 [19:32<03:09,  2.10it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2603/3000:  87%|████████▋ | 2602/3000 [19:32<03:09,  2.10it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2603/3000:  87%|████████▋ | 2603/3000 [19:32<02:56,  2.25it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2603/3000:  87%|████████▋ | 2603/3000 [19:32<02:56,  2.25it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2604/3000:  87%|████████▋ | 2603/3000 [19:32<02:56,  2.25it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2604/3000:  87%|████████▋ | 2604/3000 [19:33<03:05,  2.13it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2604/3000:  87%|████████▋ | 2604/3000 [19:33<03:05,  2.13it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2605/3000:  87%|████████▋ | 2604/3000 [19:33<03:05,  2.13it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2605/3000:  87%|████████▋ | 2605/3000 [19:33<03:04,  2.14it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2605/3000:  87%|████████▋ | 2605/3000 [19:33<03:04,  2.14it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2606/3000:  87%|████████▋ | 2605/3000 [19:33<03:04,  2.14it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2606/3000:  87%|████████▋ | 2606/3000 [19:33<02:36,  2.52it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2606/3000:  87%|████████▋ | 2606/3000 [19:33<02:36,  2.52it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2607/3000:  87%|████████▋ | 2606/3000 [19:33<02:36,  2.52it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2607/3000:  87%|████████▋ | 2607/3000 [19:34<02:21,  2.77it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2607/3000:  87%|████████▋ | 2607/3000 [19:34<02:21,  2.77it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2608/3000:  87%|████████▋ | 2607/3000 [19:34<02:21,  2.77it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2608/3000:  87%|████████▋ | 2608/3000 [19:34<02:26,  2.68it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2608/3000:  87%|████████▋ | 2608/3000 [19:34<02:26,  2.68it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2609/3000:  87%|████████▋ | 2608/3000 [19:34<02:26,  2.68it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2609/3000:  87%|████████▋ | 2609/3000 [19:35<02:39,  2.46it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2609/3000:  87%|████████▋ | 2609/3000 [19:35<02:39,  2.46it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2610/3000:  87%|████████▋ | 2609/3000 [19:35<02:39,  2.46it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2610/3000:  87%|████████▋ | 2610/3000 [19:35<02:44,  2.37it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2610/3000:  87%|████████▋ | 2610/3000 [19:35<02:44,  2.37it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2611/3000:  87%|████████▋ | 2610/3000 [19:35<02:44,  2.37it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2611/3000:  87%|████████▋ | 2611/3000 [19:36<03:00,  2.16it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2611/3000:  87%|████████▋ | 2611/3000 [19:36<03:00,  2.16it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2612/3000:  87%|████████▋ | 2611/3000 [19:36<03:00,  2.16it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2612/3000:  87%|████████▋ | 2612/3000 [19:36<03:33,  1.81it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2612/3000:  87%|████████▋ | 2612/3000 [19:36<03:33,  1.81it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2613/3000:  87%|████████▋ | 2612/3000 [19:36<03:33,  1.81it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2613/3000:  87%|████████▋ | 2613/3000 [19:37<03:51,  1.67it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2613/3000:  87%|████████▋ | 2613/3000 [19:37<03:51,  1.67it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2614/3000:  87%|████████▋ | 2613/3000 [19:37<03:51,  1.67it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2614/3000:  87%|████████▋ | 2614/3000 [19:38<03:48,  1.69it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2614/3000:  87%|████████▋ | 2614/3000 [19:38<03:48,  1.69it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2615/3000:  87%|████████▋ | 2614/3000 [19:38<03:48,  1.69it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2615/3000:  87%|████████▋ | 2615/3000 [19:38<03:44,  1.72it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2615/3000:  87%|████████▋ | 2615/3000 [19:38<03:44,  1.72it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2616/3000:  87%|████████▋ | 2615/3000 [19:38<03:44,  1.72it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2616/3000:  87%|████████▋ | 2616/3000 [19:39<03:27,  1.85it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2616/3000:  87%|████████▋ | 2616/3000 [19:39<03:27,  1.85it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2617/3000:  87%|████████▋ | 2616/3000 [19:39<03:27,  1.85it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2617/3000:  87%|████████▋ | 2617/3000 [19:39<03:24,  1.88it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2617/3000:  87%|████████▋ | 2617/3000 [19:39<03:24,  1.88it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2618/3000:  87%|████████▋ | 2617/3000 [19:39<03:24,  1.88it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2618/3000:  87%|████████▋ | 2618/3000 [19:40<03:31,  1.80it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2618/3000:  87%|████████▋ | 2618/3000 [19:40<03:31,  1.80it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2619/3000:  87%|████████▋ | 2618/3000 [19:40<03:31,  1.80it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2619/3000:  87%|████████▋ | 2619/3000 [19:40<02:42,  2.35it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2619/3000:  87%|████████▋ | 2619/3000 [19:40<02:42,  2.35it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2620/3000:  87%|████████▋ | 2619/3000 [19:40<02:42,  2.35it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2620/3000:  87%|████████▋ | 2620/3000 [19:40<02:57,  2.15it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2620/3000:  87%|████████▋ | 2620/3000 [19:40<02:57,  2.15it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2621/3000:  87%|████████▋ | 2620/3000 [19:40<02:57,  2.15it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2621/3000:  87%|████████▋ | 2621/3000 [19:41<02:45,  2.29it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2621/3000:  87%|████████▋ | 2621/3000 [19:41<02:45,  2.29it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2622/3000:  87%|████████▋ | 2621/3000 [19:41<02:45,  2.29it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2622/3000:  87%|████████▋ | 2622/3000 [19:41<02:49,  2.24it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2622/3000:  87%|████████▋ | 2622/3000 [19:41<02:49,  2.24it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2623/3000:  87%|████████▋ | 2622/3000 [19:41<02:49,  2.24it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2623/3000:  87%|████████▋ | 2623/3000 [19:42<03:18,  1.90it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2623/3000:  87%|████████▋ | 2623/3000 [19:42<03:18,  1.90it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2624/3000:  87%|████████▋ | 2623/3000 [19:42<03:18,  1.90it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2624/3000:  87%|████████▋ | 2624/3000 [19:43<03:28,  1.80it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2624/3000:  87%|████████▋ | 2624/3000 [19:43<03:28,  1.80it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2625/3000:  87%|████████▋ | 2624/3000 [19:43<03:28,  1.80it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2625/3000:  88%|████████▊ | 2625/3000 [19:43<03:25,  1.82it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2625/3000:  88%|████████▊ | 2625/3000 [19:43<03:25,  1.82it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2626/3000:  88%|████████▊ | 2625/3000 [19:43<03:25,  1.82it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2626/3000:  88%|████████▊ | 2626/3000 [19:44<03:15,  1.92it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2626/3000:  88%|████████▊ | 2626/3000 [19:44<03:15,  1.92it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2627/3000:  88%|████████▊ | 2626/3000 [19:44<03:15,  1.92it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2627/3000:  88%|████████▊ | 2627/3000 [19:44<03:23,  1.83it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2627/3000:  88%|████████▊ | 2627/3000 [19:44<03:23,  1.83it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2628/3000:  88%|████████▊ | 2627/3000 [19:44<03:23,  1.83it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2628/3000:  88%|████████▊ | 2628/3000 [19:45<03:13,  1.92it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2628/3000:  88%|████████▊ | 2628/3000 [19:45<03:13,  1.92it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2629/3000:  88%|████████▊ | 2628/3000 [19:45<03:13,  1.92it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2629/3000:  88%|████████▊ | 2629/3000 [19:45<02:59,  2.07it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2629/3000:  88%|████████▊ | 2629/3000 [19:45<02:59,  2.07it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2630/3000:  88%|████████▊ | 2629/3000 [19:45<02:59,  2.07it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2630/3000:  88%|████████▊ | 2630/3000 [19:46<03:13,  1.91it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2630/3000:  88%|████████▊ | 2630/3000 [19:46<03:13,  1.91it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2631/3000:  88%|████████▊ | 2630/3000 [19:46<03:13,  1.91it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2631/3000:  88%|████████▊ | 2631/3000 [19:46<03:17,  1.87it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2631/3000:  88%|████████▊ | 2631/3000 [19:46<03:17,  1.87it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2632/3000:  88%|████████▊ | 2631/3000 [19:46<03:17,  1.87it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2632/3000:  88%|████████▊ | 2632/3000 [19:47<02:56,  2.09it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2632/3000:  88%|████████▊ | 2632/3000 [19:47<02:56,  2.09it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2633/3000:  88%|████████▊ | 2632/3000 [19:47<02:56,  2.09it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2633/3000:  88%|████████▊ | 2633/3000 [19:47<02:44,  2.23it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2633/3000:  88%|████████▊ | 2633/3000 [19:47<02:44,  2.23it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2634/3000:  88%|████████▊ | 2633/3000 [19:47<02:44,  2.23it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2634/3000:  88%|████████▊ | 2634/3000 [19:47<02:49,  2.16it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2634/3000:  88%|████████▊ | 2634/3000 [19:47<02:49,  2.16it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2635/3000:  88%|████████▊ | 2634/3000 [19:47<02:49,  2.16it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2635/3000:  88%|████████▊ | 2635/3000 [19:48<02:39,  2.29it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2635/3000:  88%|████████▊ | 2635/3000 [19:48<02:39,  2.29it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2636/3000:  88%|████████▊ | 2635/3000 [19:48<02:39,  2.29it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2636/3000:  88%|████████▊ | 2636/3000 [19:48<02:42,  2.24it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2636/3000:  88%|████████▊ | 2636/3000 [19:48<02:42,  2.24it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2637/3000:  88%|████████▊ | 2636/3000 [19:48<02:42,  2.24it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2637/3000:  88%|████████▊ | 2637/3000 [19:49<02:18,  2.63it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2637/3000:  88%|████████▊ | 2637/3000 [19:49<02:18,  2.63it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2638/3000:  88%|████████▊ | 2637/3000 [19:49<02:18,  2.63it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2638/3000:  88%|████████▊ | 2638/3000 [19:49<02:23,  2.52it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2638/3000:  88%|████████▊ | 2638/3000 [19:49<02:23,  2.52it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2639/3000:  88%|████████▊ | 2638/3000 [19:49<02:23,  2.52it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2639/3000:  88%|████████▊ | 2639/3000 [19:50<02:47,  2.16it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2639/3000:  88%|████████▊ | 2639/3000 [19:50<02:47,  2.16it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2640/3000:  88%|████████▊ | 2639/3000 [19:50<02:47,  2.16it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2640/3000:  88%|████████▊ | 2640/3000 [19:50<02:39,  2.25it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2640/3000:  88%|████████▊ | 2640/3000 [19:50<02:39,  2.25it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2641/3000:  88%|████████▊ | 2640/3000 [19:50<02:39,  2.25it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2641/3000:  88%|████████▊ | 2641/3000 [19:50<02:44,  2.18it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2641/3000:  88%|████████▊ | 2641/3000 [19:50<02:44,  2.18it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2642/3000:  88%|████████▊ | 2641/3000 [19:50<02:44,  2.18it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2642/3000:  88%|████████▊ | 2642/3000 [19:51<03:06,  1.92it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2642/3000:  88%|████████▊ | 2642/3000 [19:51<03:06,  1.92it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2643/3000:  88%|████████▊ | 2642/3000 [19:51<03:06,  1.92it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2643/3000:  88%|████████▊ | 2643/3000 [19:52<02:54,  2.04it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2643/3000:  88%|████████▊ | 2643/3000 [19:52<02:54,  2.04it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2644/3000:  88%|████████▊ | 2643/3000 [19:52<02:54,  2.04it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2644/3000:  88%|████████▊ | 2644/3000 [19:52<03:01,  1.96it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2644/3000:  88%|████████▊ | 2644/3000 [19:52<03:01,  1.96it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2645/3000:  88%|████████▊ | 2644/3000 [19:52<03:01,  1.96it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2645/3000:  88%|████████▊ | 2645/3000 [19:53<03:21,  1.76it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2645/3000:  88%|████████▊ | 2645/3000 [19:53<03:21,  1.76it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2646/3000:  88%|████████▊ | 2645/3000 [19:53<03:21,  1.76it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2646/3000:  88%|████████▊ | 2646/3000 [19:53<03:31,  1.68it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2646/3000:  88%|████████▊ | 2646/3000 [19:53<03:31,  1.68it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2647/3000:  88%|████████▊ | 2646/3000 [19:53<03:31,  1.68it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2647/3000:  88%|████████▊ | 2647/3000 [19:54<02:54,  2.02it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2647/3000:  88%|████████▊ | 2647/3000 [19:54<02:54,  2.02it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2648/3000:  88%|████████▊ | 2647/3000 [19:54<02:54,  2.02it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2648/3000:  88%|████████▊ | 2648/3000 [19:54<02:58,  1.97it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2648/3000:  88%|████████▊ | 2648/3000 [19:54<02:58,  1.97it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2649/3000:  88%|████████▊ | 2648/3000 [19:54<02:58,  1.97it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2649/3000:  88%|████████▊ | 2649/3000 [19:55<02:45,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2649/3000:  88%|████████▊ | 2649/3000 [19:55<02:45,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2650/3000:  88%|████████▊ | 2649/3000 [19:55<02:45,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2650/3000:  88%|████████▊ | 2650/3000 [19:55<02:37,  2.23it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2650/3000:  88%|████████▊ | 2650/3000 [19:55<02:37,  2.23it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2651/3000:  88%|████████▊ | 2650/3000 [19:55<02:37,  2.23it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2651/3000:  88%|████████▊ | 2651/3000 [19:55<02:23,  2.43it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2651/3000:  88%|████████▊ | 2651/3000 [19:55<02:23,  2.43it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2652/3000:  88%|████████▊ | 2651/3000 [19:55<02:23,  2.43it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2652/3000:  88%|████████▊ | 2652/3000 [19:56<02:33,  2.27it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2652/3000:  88%|████████▊ | 2652/3000 [19:56<02:33,  2.27it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2653/3000:  88%|████████▊ | 2652/3000 [19:56<02:33,  2.27it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2653/3000:  88%|████████▊ | 2653/3000 [19:56<02:20,  2.47it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2653/3000:  88%|████████▊ | 2653/3000 [19:56<02:20,  2.47it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2654/3000:  88%|████████▊ | 2653/3000 [19:56<02:20,  2.47it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2654/3000:  88%|████████▊ | 2654/3000 [19:57<02:24,  2.39it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2654/3000:  88%|████████▊ | 2654/3000 [19:57<02:24,  2.39it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2655/3000:  88%|████████▊ | 2654/3000 [19:57<02:24,  2.39it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2655/3000:  88%|████████▊ | 2655/3000 [19:57<02:14,  2.57it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2655/3000:  88%|████████▊ | 2655/3000 [19:57<02:14,  2.57it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2656/3000:  88%|████████▊ | 2655/3000 [19:57<02:14,  2.57it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2656/3000:  89%|████████▊ | 2656/3000 [19:57<02:02,  2.81it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2656/3000:  89%|████████▊ | 2656/3000 [19:57<02:02,  2.81it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2657/3000:  89%|████████▊ | 2656/3000 [19:57<02:02,  2.81it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2657/3000:  89%|████████▊ | 2657/3000 [19:57<01:49,  3.13it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2657/3000:  89%|████████▊ | 2657/3000 [19:57<01:49,  3.13it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2658/3000:  89%|████████▊ | 2657/3000 [19:57<01:49,  3.13it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2658/3000:  89%|████████▊ | 2658/3000 [19:58<02:05,  2.73it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2658/3000:  89%|████████▊ | 2658/3000 [19:58<02:05,  2.73it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2659/3000:  89%|████████▊ | 2658/3000 [19:58<02:05,  2.73it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2659/3000:  89%|████████▊ | 2659/3000 [19:58<02:20,  2.42it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2659/3000:  89%|████████▊ | 2659/3000 [19:58<02:20,  2.42it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2660/3000:  89%|████████▊ | 2659/3000 [19:58<02:20,  2.42it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2660/3000:  89%|████████▊ | 2660/3000 [19:59<02:09,  2.64it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2660/3000:  89%|████████▊ | 2660/3000 [19:59<02:09,  2.64it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2661/3000:  89%|████████▊ | 2660/3000 [19:59<02:09,  2.64it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2661/3000:  89%|████████▊ | 2661/3000 [19:59<02:02,  2.77it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2661/3000:  89%|████████▊ | 2661/3000 [19:59<02:02,  2.77it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2662/3000:  89%|████████▊ | 2661/3000 [19:59<02:02,  2.77it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2662/3000:  89%|████████▊ | 2662/3000 [20:00<02:09,  2.61it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2662/3000:  89%|████████▊ | 2662/3000 [20:00<02:09,  2.61it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2663/3000:  89%|████████▊ | 2662/3000 [20:00<02:09,  2.61it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2663/3000:  89%|████████▉ | 2663/3000 [20:00<02:10,  2.58it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2663/3000:  89%|████████▉ | 2663/3000 [20:00<02:10,  2.58it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.04e+6]Epoch 2664/3000:  89%|████████▉ | 2663/3000 [20:00<02:10,  2.58it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.04e+6]Epoch 2664/3000:  89%|████████▉ | 2664/3000 [20:00<02:26,  2.30it/s, v_num=1, train_loss_step=1.07e+6, train_loss_epoch=1.04e+6]Epoch 2664/3000:  89%|████████▉ | 2664/3000 [20:00<02:26,  2.30it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2665/3000:  89%|████████▉ | 2664/3000 [20:00<02:26,  2.30it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2665/3000:  89%|████████▉ | 2665/3000 [20:01<02:30,  2.23it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2665/3000:  89%|████████▉ | 2665/3000 [20:01<02:30,  2.23it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2666/3000:  89%|████████▉ | 2665/3000 [20:01<02:30,  2.23it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2666/3000:  89%|████████▉ | 2666/3000 [20:01<02:31,  2.21it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2666/3000:  89%|████████▉ | 2666/3000 [20:01<02:31,  2.21it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2667/3000:  89%|████████▉ | 2666/3000 [20:01<02:31,  2.21it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2667/3000:  89%|████████▉ | 2667/3000 [20:02<02:42,  2.05it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2667/3000:  89%|████████▉ | 2667/3000 [20:02<02:42,  2.05it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2668/3000:  89%|████████▉ | 2667/3000 [20:02<02:42,  2.05it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2668/3000:  89%|████████▉ | 2668/3000 [20:02<02:41,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2668/3000:  89%|████████▉ | 2668/3000 [20:02<02:41,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2669/3000:  89%|████████▉ | 2668/3000 [20:02<02:41,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2669/3000:  89%|████████▉ | 2669/3000 [20:03<02:20,  2.36it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2669/3000:  89%|████████▉ | 2669/3000 [20:03<02:20,  2.36it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2670/3000:  89%|████████▉ | 2669/3000 [20:03<02:20,  2.36it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2670/3000:  89%|████████▉ | 2670/3000 [20:03<02:02,  2.69it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2670/3000:  89%|████████▉ | 2670/3000 [20:03<02:02,  2.69it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2671/3000:  89%|████████▉ | 2670/3000 [20:03<02:02,  2.69it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2671/3000:  89%|████████▉ | 2671/3000 [20:03<01:56,  2.82it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2671/3000:  89%|████████▉ | 2671/3000 [20:03<01:56,  2.82it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2672/3000:  89%|████████▉ | 2671/3000 [20:03<01:56,  2.82it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2672/3000:  89%|████████▉ | 2672/3000 [20:04<02:22,  2.31it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2672/3000:  89%|████████▉ | 2672/3000 [20:04<02:22,  2.31it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2673/3000:  89%|████████▉ | 2672/3000 [20:04<02:22,  2.31it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2673/3000:  89%|████████▉ | 2673/3000 [20:05<02:41,  2.02it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2673/3000:  89%|████████▉ | 2673/3000 [20:05<02:41,  2.02it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2674/3000:  89%|████████▉ | 2673/3000 [20:05<02:41,  2.02it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2674/3000:  89%|████████▉ | 2674/3000 [20:05<02:36,  2.08it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2674/3000:  89%|████████▉ | 2674/3000 [20:05<02:36,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2675/3000:  89%|████████▉ | 2674/3000 [20:05<02:36,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2675/3000:  89%|████████▉ | 2675/3000 [20:06<02:43,  1.98it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2675/3000:  89%|████████▉ | 2675/3000 [20:06<02:43,  1.98it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2676/3000:  89%|████████▉ | 2675/3000 [20:06<02:43,  1.98it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2676/3000:  89%|████████▉ | 2676/3000 [20:06<02:53,  1.87it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2676/3000:  89%|████████▉ | 2676/3000 [20:06<02:53,  1.87it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2677/3000:  89%|████████▉ | 2676/3000 [20:06<02:53,  1.87it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2677/3000:  89%|████████▉ | 2677/3000 [20:07<02:45,  1.95it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2677/3000:  89%|████████▉ | 2677/3000 [20:07<02:45,  1.95it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2678/3000:  89%|████████▉ | 2677/3000 [20:07<02:45,  1.95it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2678/3000:  89%|████████▉ | 2678/3000 [20:07<02:36,  2.06it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2678/3000:  89%|████████▉ | 2678/3000 [20:07<02:36,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2679/3000:  89%|████████▉ | 2678/3000 [20:07<02:36,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2679/3000:  89%|████████▉ | 2679/3000 [20:08<02:38,  2.03it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2679/3000:  89%|████████▉ | 2679/3000 [20:08<02:38,  2.03it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2680/3000:  89%|████████▉ | 2679/3000 [20:08<02:38,  2.03it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2680/3000:  89%|████████▉ | 2680/3000 [20:08<02:30,  2.12it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2680/3000:  89%|████████▉ | 2680/3000 [20:08<02:30,  2.12it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2681/3000:  89%|████████▉ | 2680/3000 [20:08<02:30,  2.12it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2681/3000:  89%|████████▉ | 2681/3000 [20:08<02:19,  2.28it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2681/3000:  89%|████████▉ | 2681/3000 [20:08<02:19,  2.28it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2682/3000:  89%|████████▉ | 2681/3000 [20:08<02:19,  2.28it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2682/3000:  89%|████████▉ | 2682/3000 [20:09<02:28,  2.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2682/3000:  89%|████████▉ | 2682/3000 [20:09<02:28,  2.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2683/3000:  89%|████████▉ | 2682/3000 [20:09<02:28,  2.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2683/3000:  89%|████████▉ | 2683/3000 [20:09<02:24,  2.20it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2683/3000:  89%|████████▉ | 2683/3000 [20:09<02:24,  2.20it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2684/3000:  89%|████████▉ | 2683/3000 [20:09<02:24,  2.20it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2684/3000:  89%|████████▉ | 2684/3000 [20:10<02:07,  2.48it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2684/3000:  89%|████████▉ | 2684/3000 [20:10<02:07,  2.48it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2685/3000:  89%|████████▉ | 2684/3000 [20:10<02:07,  2.48it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2685/3000:  90%|████████▉ | 2685/3000 [20:10<02:07,  2.48it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2685/3000:  90%|████████▉ | 2685/3000 [20:10<02:07,  2.48it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2686/3000:  90%|████████▉ | 2685/3000 [20:10<02:07,  2.48it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2686/3000:  90%|████████▉ | 2686/3000 [20:11<02:15,  2.32it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2686/3000:  90%|████████▉ | 2686/3000 [20:11<02:15,  2.32it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2687/3000:  90%|████████▉ | 2686/3000 [20:11<02:15,  2.32it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2687/3000:  90%|████████▉ | 2687/3000 [20:11<01:54,  2.74it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.04e+6]Epoch 2687/3000:  90%|████████▉ | 2687/3000 [20:11<01:54,  2.74it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2688/3000:  90%|████████▉ | 2687/3000 [20:11<01:54,  2.74it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2688/3000:  90%|████████▉ | 2688/3000 [20:11<01:43,  3.00it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2688/3000:  90%|████████▉ | 2688/3000 [20:11<01:43,  3.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2689/3000:  90%|████████▉ | 2688/3000 [20:11<01:43,  3.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2689/3000:  90%|████████▉ | 2689/3000 [20:11<01:34,  3.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2689/3000:  90%|████████▉ | 2689/3000 [20:11<01:34,  3.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2690/3000:  90%|████████▉ | 2689/3000 [20:11<01:34,  3.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2690/3000:  90%|████████▉ | 2690/3000 [20:12<01:34,  3.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2690/3000:  90%|████████▉ | 2690/3000 [20:12<01:34,  3.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2691/3000:  90%|████████▉ | 2690/3000 [20:12<01:34,  3.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2691/3000:  90%|████████▉ | 2691/3000 [20:12<01:52,  2.73it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2691/3000:  90%|████████▉ | 2691/3000 [20:12<01:52,  2.73it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2692/3000:  90%|████████▉ | 2691/3000 [20:12<01:52,  2.73it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2692/3000:  90%|████████▉ | 2692/3000 [20:12<01:40,  3.06it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2692/3000:  90%|████████▉ | 2692/3000 [20:12<01:40,  3.06it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2693/3000:  90%|████████▉ | 2692/3000 [20:12<01:40,  3.06it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2693/3000:  90%|████████▉ | 2693/3000 [20:13<01:43,  2.96it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2693/3000:  90%|████████▉ | 2693/3000 [20:13<01:43,  2.96it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2694/3000:  90%|████████▉ | 2693/3000 [20:13<01:43,  2.96it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2694/3000:  90%|████████▉ | 2694/3000 [20:13<01:54,  2.68it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2694/3000:  90%|████████▉ | 2694/3000 [20:13<01:54,  2.68it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2695/3000:  90%|████████▉ | 2694/3000 [20:13<01:54,  2.68it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2695/3000:  90%|████████▉ | 2695/3000 [20:14<02:07,  2.39it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2695/3000:  90%|████████▉ | 2695/3000 [20:14<02:07,  2.39it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2696/3000:  90%|████████▉ | 2695/3000 [20:14<02:07,  2.39it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2696/3000:  90%|████████▉ | 2696/3000 [20:14<02:18,  2.20it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2696/3000:  90%|████████▉ | 2696/3000 [20:14<02:18,  2.20it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2697/3000:  90%|████████▉ | 2696/3000 [20:14<02:18,  2.20it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2697/3000:  90%|████████▉ | 2697/3000 [20:15<02:32,  1.99it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2697/3000:  90%|████████▉ | 2697/3000 [20:15<02:32,  1.99it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2698/3000:  90%|████████▉ | 2697/3000 [20:15<02:32,  1.99it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2698/3000:  90%|████████▉ | 2698/3000 [20:15<02:42,  1.86it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2698/3000:  90%|████████▉ | 2698/3000 [20:15<02:42,  1.86it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2699/3000:  90%|████████▉ | 2698/3000 [20:15<02:42,  1.86it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2699/3000:  90%|████████▉ | 2699/3000 [20:16<02:39,  1.89it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2699/3000:  90%|████████▉ | 2699/3000 [20:16<02:39,  1.89it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2700/3000:  90%|████████▉ | 2699/3000 [20:16<02:39,  1.89it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2700/3000:  90%|█████████ | 2700/3000 [20:16<02:30,  2.00it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2700/3000:  90%|█████████ | 2700/3000 [20:16<02:30,  2.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2701/3000:  90%|█████████ | 2700/3000 [20:16<02:30,  2.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2701/3000:  90%|█████████ | 2701/3000 [20:17<02:16,  2.19it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2701/3000:  90%|█████████ | 2701/3000 [20:17<02:16,  2.19it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2702/3000:  90%|█████████ | 2701/3000 [20:17<02:16,  2.19it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2702/3000:  90%|█████████ | 2702/3000 [20:17<02:08,  2.32it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2702/3000:  90%|█████████ | 2702/3000 [20:17<02:08,  2.32it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.04e+6]Epoch 2703/3000:  90%|█████████ | 2702/3000 [20:17<02:08,  2.32it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.04e+6]Epoch 2703/3000:  90%|█████████ | 2703/3000 [20:18<02:18,  2.15it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.04e+6]Epoch 2703/3000:  90%|█████████ | 2703/3000 [20:18<02:18,  2.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2704/3000:  90%|█████████ | 2703/3000 [20:18<02:18,  2.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2704/3000:  90%|█████████ | 2704/3000 [20:18<02:06,  2.35it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2704/3000:  90%|█████████ | 2704/3000 [20:18<02:06,  2.35it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2705/3000:  90%|█████████ | 2704/3000 [20:18<02:06,  2.35it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2705/3000:  90%|█████████ | 2705/3000 [20:18<02:14,  2.19it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2705/3000:  90%|█████████ | 2705/3000 [20:18<02:14,  2.19it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2706/3000:  90%|█████████ | 2705/3000 [20:18<02:14,  2.19it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2706/3000:  90%|█████████ | 2706/3000 [20:19<02:10,  2.25it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2706/3000:  90%|█████████ | 2706/3000 [20:19<02:10,  2.25it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2707/3000:  90%|█████████ | 2706/3000 [20:19<02:10,  2.25it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2707/3000:  90%|█████████ | 2707/3000 [20:19<01:56,  2.51it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2707/3000:  90%|█████████ | 2707/3000 [20:19<01:56,  2.51it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2708/3000:  90%|█████████ | 2707/3000 [20:19<01:56,  2.51it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2708/3000:  90%|█████████ | 2708/3000 [20:20<02:09,  2.25it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2708/3000:  90%|█████████ | 2708/3000 [20:20<02:09,  2.25it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2709/3000:  90%|█████████ | 2708/3000 [20:20<02:09,  2.25it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2709/3000:  90%|█████████ | 2709/3000 [20:20<02:04,  2.34it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2709/3000:  90%|█████████ | 2709/3000 [20:20<02:04,  2.34it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2710/3000:  90%|█████████ | 2709/3000 [20:20<02:04,  2.34it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2710/3000:  90%|█████████ | 2710/3000 [20:20<01:46,  2.72it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2710/3000:  90%|█████████ | 2710/3000 [20:20<01:46,  2.72it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2711/3000:  90%|█████████ | 2710/3000 [20:20<01:46,  2.72it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2711/3000:  90%|█████████ | 2711/3000 [20:21<01:56,  2.49it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2711/3000:  90%|█████████ | 2711/3000 [20:21<01:56,  2.49it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2712/3000:  90%|█████████ | 2711/3000 [20:21<01:56,  2.49it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2712/3000:  90%|█████████ | 2712/3000 [20:21<02:04,  2.32it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2712/3000:  90%|█████████ | 2712/3000 [20:21<02:04,  2.32it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2713/3000:  90%|█████████ | 2712/3000 [20:21<02:04,  2.32it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2713/3000:  90%|█████████ | 2713/3000 [20:22<02:05,  2.29it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2713/3000:  90%|█████████ | 2713/3000 [20:22<02:05,  2.29it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2714/3000:  90%|█████████ | 2713/3000 [20:22<02:05,  2.29it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2714/3000:  90%|█████████ | 2714/3000 [20:22<02:02,  2.33it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2714/3000:  90%|█████████ | 2714/3000 [20:22<02:02,  2.33it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2715/3000:  90%|█████████ | 2714/3000 [20:22<02:02,  2.33it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2715/3000:  90%|█████████ | 2715/3000 [20:23<02:10,  2.18it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2715/3000:  90%|█████████ | 2715/3000 [20:23<02:10,  2.18it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2716/3000:  90%|█████████ | 2715/3000 [20:23<02:10,  2.18it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2716/3000:  91%|█████████ | 2716/3000 [20:23<02:10,  2.18it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2716/3000:  91%|█████████ | 2716/3000 [20:23<02:10,  2.18it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2717/3000:  91%|█████████ | 2716/3000 [20:23<02:10,  2.18it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2717/3000:  91%|█████████ | 2717/3000 [20:24<02:00,  2.36it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2717/3000:  91%|█████████ | 2717/3000 [20:24<02:00,  2.36it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2718/3000:  91%|█████████ | 2717/3000 [20:24<02:00,  2.36it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2718/3000:  91%|█████████ | 2718/3000 [20:24<01:39,  2.83it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2718/3000:  91%|█████████ | 2718/3000 [20:24<01:39,  2.83it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2719/3000:  91%|█████████ | 2718/3000 [20:24<01:39,  2.83it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2719/3000:  91%|█████████ | 2719/3000 [20:24<01:44,  2.69it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2719/3000:  91%|█████████ | 2719/3000 [20:24<01:44,  2.69it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2720/3000:  91%|█████████ | 2719/3000 [20:24<01:44,  2.69it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2720/3000:  91%|█████████ | 2720/3000 [20:25<01:58,  2.36it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2720/3000:  91%|█████████ | 2720/3000 [20:25<01:58,  2.36it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2721/3000:  91%|█████████ | 2720/3000 [20:25<01:58,  2.36it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2721/3000:  91%|█████████ | 2721/3000 [20:25<02:09,  2.16it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.04e+6]Epoch 2721/3000:  91%|█████████ | 2721/3000 [20:25<02:09,  2.16it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2722/3000:  91%|█████████ | 2721/3000 [20:25<02:09,  2.16it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2722/3000:  91%|█████████ | 2722/3000 [20:26<02:15,  2.05it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.04e+6]Epoch 2722/3000:  91%|█████████ | 2722/3000 [20:26<02:15,  2.05it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2723/3000:  91%|█████████ | 2722/3000 [20:26<02:15,  2.05it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2723/3000:  91%|█████████ | 2723/3000 [20:26<02:20,  1.98it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.04e+6]Epoch 2723/3000:  91%|█████████ | 2723/3000 [20:26<02:20,  1.98it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2724/3000:  91%|█████████ | 2723/3000 [20:26<02:20,  1.98it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2724/3000:  91%|█████████ | 2724/3000 [20:27<02:20,  1.97it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.04e+6]Epoch 2724/3000:  91%|█████████ | 2724/3000 [20:27<02:20,  1.97it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2725/3000:  91%|█████████ | 2724/3000 [20:27<02:20,  1.97it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2725/3000:  91%|█████████ | 2725/3000 [20:27<02:13,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2725/3000:  91%|█████████ | 2725/3000 [20:27<02:13,  2.06it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2726/3000:  91%|█████████ | 2725/3000 [20:27<02:13,  2.06it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2726/3000:  91%|█████████ | 2726/3000 [20:28<02:17,  2.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2726/3000:  91%|█████████ | 2726/3000 [20:28<02:17,  2.00it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2727/3000:  91%|█████████ | 2726/3000 [20:28<02:17,  2.00it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2727/3000:  91%|█████████ | 2727/3000 [20:28<02:23,  1.91it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2727/3000:  91%|█████████ | 2727/3000 [20:28<02:23,  1.91it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2728/3000:  91%|█████████ | 2727/3000 [20:28<02:23,  1.91it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2728/3000:  91%|█████████ | 2728/3000 [20:29<02:11,  2.06it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2728/3000:  91%|█████████ | 2728/3000 [20:29<02:11,  2.06it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2729/3000:  91%|█████████ | 2728/3000 [20:29<02:11,  2.06it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2729/3000:  91%|█████████ | 2729/3000 [20:29<02:04,  2.17it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2729/3000:  91%|█████████ | 2729/3000 [20:29<02:04,  2.17it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2730/3000:  91%|█████████ | 2729/3000 [20:29<02:04,  2.17it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2730/3000:  91%|█████████ | 2730/3000 [20:29<01:43,  2.60it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2730/3000:  91%|█████████ | 2730/3000 [20:29<01:43,  2.60it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2731/3000:  91%|█████████ | 2730/3000 [20:29<01:43,  2.60it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2731/3000:  91%|█████████ | 2731/3000 [20:30<01:40,  2.67it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2731/3000:  91%|█████████ | 2731/3000 [20:30<01:40,  2.67it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2732/3000:  91%|█████████ | 2731/3000 [20:30<01:40,  2.67it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2732/3000:  91%|█████████ | 2732/3000 [20:30<01:42,  2.63it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2732/3000:  91%|█████████ | 2732/3000 [20:30<01:42,  2.63it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2733/3000:  91%|█████████ | 2732/3000 [20:30<01:42,  2.63it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2733/3000:  91%|█████████ | 2733/3000 [20:31<01:58,  2.26it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2733/3000:  91%|█████████ | 2733/3000 [20:31<01:58,  2.26it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2734/3000:  91%|█████████ | 2733/3000 [20:31<01:58,  2.26it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2734/3000:  91%|█████████ | 2734/3000 [20:31<02:04,  2.13it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2734/3000:  91%|█████████ | 2734/3000 [20:31<02:04,  2.13it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2735/3000:  91%|█████████ | 2734/3000 [20:31<02:04,  2.13it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2735/3000:  91%|█████████ | 2735/3000 [20:31<01:48,  2.45it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2735/3000:  91%|█████████ | 2735/3000 [20:31<01:48,  2.45it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2736/3000:  91%|█████████ | 2735/3000 [20:32<01:48,  2.45it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2736/3000:  91%|█████████ | 2736/3000 [20:32<01:48,  2.43it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2736/3000:  91%|█████████ | 2736/3000 [20:32<01:48,  2.43it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2737/3000:  91%|█████████ | 2736/3000 [20:32<01:48,  2.43it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2737/3000:  91%|█████████ | 2737/3000 [20:33<02:02,  2.14it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2737/3000:  91%|█████████ | 2737/3000 [20:33<02:02,  2.14it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2738/3000:  91%|█████████ | 2737/3000 [20:33<02:02,  2.14it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2738/3000:  91%|█████████▏| 2738/3000 [20:33<01:57,  2.24it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2738/3000:  91%|█████████▏| 2738/3000 [20:33<01:57,  2.24it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2739/3000:  91%|█████████▏| 2738/3000 [20:33<01:57,  2.24it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2739/3000:  91%|█████████▏| 2739/3000 [20:33<01:40,  2.61it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2739/3000:  91%|█████████▏| 2739/3000 [20:33<01:40,  2.61it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2740/3000:  91%|█████████▏| 2739/3000 [20:33<01:40,  2.61it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2740/3000:  91%|█████████▏| 2740/3000 [20:34<01:50,  2.35it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2740/3000:  91%|█████████▏| 2740/3000 [20:34<01:50,  2.35it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2741/3000:  91%|█████████▏| 2740/3000 [20:34<01:50,  2.35it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2741/3000:  91%|█████████▏| 2741/3000 [20:34<01:58,  2.19it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2741/3000:  91%|█████████▏| 2741/3000 [20:34<01:58,  2.19it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2742/3000:  91%|█████████▏| 2741/3000 [20:34<01:58,  2.19it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2742/3000:  91%|█████████▏| 2742/3000 [20:35<01:55,  2.22it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2742/3000:  91%|█████████▏| 2742/3000 [20:35<01:55,  2.22it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2743/3000:  91%|█████████▏| 2742/3000 [20:35<01:55,  2.22it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2743/3000:  91%|█████████▏| 2743/3000 [20:35<01:39,  2.58it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2743/3000:  91%|█████████▏| 2743/3000 [20:35<01:39,  2.58it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2744/3000:  91%|█████████▏| 2743/3000 [20:35<01:39,  2.58it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2744/3000:  91%|█████████▏| 2744/3000 [20:35<01:49,  2.34it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2744/3000:  91%|█████████▏| 2744/3000 [20:35<01:49,  2.34it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2745/3000:  91%|█████████▏| 2744/3000 [20:35<01:49,  2.34it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2745/3000:  92%|█████████▏| 2745/3000 [20:36<01:48,  2.36it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2745/3000:  92%|█████████▏| 2745/3000 [20:36<01:48,  2.36it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2746/3000:  92%|█████████▏| 2745/3000 [20:36<01:48,  2.36it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2746/3000:  92%|█████████▏| 2746/3000 [20:36<02:07,  2.00it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2746/3000:  92%|█████████▏| 2746/3000 [20:36<02:07,  2.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2747/3000:  92%|█████████▏| 2746/3000 [20:37<02:07,  2.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2747/3000:  92%|█████████▏| 2747/3000 [20:37<01:56,  2.17it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2747/3000:  92%|█████████▏| 2747/3000 [20:37<01:56,  2.17it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2748/3000:  92%|█████████▏| 2747/3000 [20:37<01:56,  2.17it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2748/3000:  92%|█████████▏| 2748/3000 [20:37<02:03,  2.03it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2748/3000:  92%|█████████▏| 2748/3000 [20:37<02:03,  2.03it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2749/3000:  92%|█████████▏| 2748/3000 [20:37<02:03,  2.03it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2749/3000:  92%|█████████▏| 2749/3000 [20:38<01:58,  2.11it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2749/3000:  92%|█████████▏| 2749/3000 [20:38<01:58,  2.11it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2750/3000:  92%|█████████▏| 2749/3000 [20:38<01:58,  2.11it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2750/3000:  92%|█████████▏| 2750/3000 [20:38<02:04,  2.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2750/3000:  92%|█████████▏| 2750/3000 [20:38<02:04,  2.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2751/3000:  92%|█████████▏| 2750/3000 [20:38<02:04,  2.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2751/3000:  92%|█████████▏| 2751/3000 [20:39<02:07,  1.95it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2751/3000:  92%|█████████▏| 2751/3000 [20:39<02:07,  1.95it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2752/3000:  92%|█████████▏| 2751/3000 [20:39<02:07,  1.95it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2752/3000:  92%|█████████▏| 2752/3000 [20:40<02:10,  1.91it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2752/3000:  92%|█████████▏| 2752/3000 [20:40<02:10,  1.91it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2753/3000:  92%|█████████▏| 2752/3000 [20:40<02:10,  1.91it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2753/3000:  92%|█████████▏| 2753/3000 [20:40<01:52,  2.20it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2753/3000:  92%|█████████▏| 2753/3000 [20:40<01:52,  2.20it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2754/3000:  92%|█████████▏| 2753/3000 [20:40<01:52,  2.20it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2754/3000:  92%|█████████▏| 2754/3000 [20:40<01:50,  2.23it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2754/3000:  92%|█████████▏| 2754/3000 [20:40<01:50,  2.23it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2755/3000:  92%|█████████▏| 2754/3000 [20:40<01:50,  2.23it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2755/3000:  92%|█████████▏| 2755/3000 [20:41<01:50,  2.21it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2755/3000:  92%|█████████▏| 2755/3000 [20:41<01:50,  2.21it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.03e+6]Epoch 2756/3000:  92%|█████████▏| 2755/3000 [20:41<01:50,  2.21it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.03e+6]Epoch 2756/3000:  92%|█████████▏| 2756/3000 [20:41<01:54,  2.14it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.03e+6]Epoch 2756/3000:  92%|█████████▏| 2756/3000 [20:41<01:54,  2.14it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2757/3000:  92%|█████████▏| 2756/3000 [20:41<01:54,  2.14it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2757/3000:  92%|█████████▏| 2757/3000 [20:42<01:59,  2.03it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2757/3000:  92%|█████████▏| 2757/3000 [20:42<01:59,  2.03it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2758/3000:  92%|█████████▏| 2757/3000 [20:42<01:59,  2.03it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2758/3000:  92%|█████████▏| 2758/3000 [20:42<01:53,  2.14it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2758/3000:  92%|█████████▏| 2758/3000 [20:42<01:53,  2.14it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2759/3000:  92%|█████████▏| 2758/3000 [20:42<01:53,  2.14it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2759/3000:  92%|█████████▏| 2759/3000 [20:43<01:58,  2.03it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2759/3000:  92%|█████████▏| 2759/3000 [20:43<01:58,  2.03it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2760/3000:  92%|█████████▏| 2759/3000 [20:43<01:58,  2.03it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2760/3000:  92%|█████████▏| 2760/3000 [20:43<01:51,  2.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2760/3000:  92%|█████████▏| 2760/3000 [20:43<01:51,  2.15it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2761/3000:  92%|█████████▏| 2760/3000 [20:43<01:51,  2.15it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2761/3000:  92%|█████████▏| 2761/3000 [20:44<01:54,  2.09it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2761/3000:  92%|█████████▏| 2761/3000 [20:44<01:54,  2.09it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2762/3000:  92%|█████████▏| 2761/3000 [20:44<01:54,  2.09it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2762/3000:  92%|█████████▏| 2762/3000 [20:44<01:53,  2.09it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2762/3000:  92%|█████████▏| 2762/3000 [20:44<01:53,  2.09it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2763/3000:  92%|█████████▏| 2762/3000 [20:44<01:53,  2.09it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2763/3000:  92%|█████████▏| 2763/3000 [20:45<01:53,  2.10it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2763/3000:  92%|█████████▏| 2763/3000 [20:45<01:53,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2764/3000:  92%|█████████▏| 2763/3000 [20:45<01:53,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2764/3000:  92%|█████████▏| 2764/3000 [20:45<01:53,  2.08it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2764/3000:  92%|█████████▏| 2764/3000 [20:45<01:53,  2.08it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2765/3000:  92%|█████████▏| 2764/3000 [20:45<01:53,  2.08it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2765/3000:  92%|█████████▏| 2765/3000 [20:45<01:45,  2.22it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2765/3000:  92%|█████████▏| 2765/3000 [20:45<01:45,  2.22it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2766/3000:  92%|█████████▏| 2765/3000 [20:45<01:45,  2.22it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2766/3000:  92%|█████████▏| 2766/3000 [20:46<01:56,  2.01it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2766/3000:  92%|█████████▏| 2766/3000 [20:46<01:56,  2.01it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2767/3000:  92%|█████████▏| 2766/3000 [20:46<01:56,  2.01it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2767/3000:  92%|█████████▏| 2767/3000 [20:46<01:51,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2767/3000:  92%|█████████▏| 2767/3000 [20:47<01:51,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2768/3000:  92%|█████████▏| 2767/3000 [20:47<01:51,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2768/3000:  92%|█████████▏| 2768/3000 [20:47<02:05,  1.85it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2768/3000:  92%|█████████▏| 2768/3000 [20:47<02:05,  1.85it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2769/3000:  92%|█████████▏| 2768/3000 [20:47<02:05,  1.85it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2769/3000:  92%|█████████▏| 2769/3000 [20:48<01:54,  2.02it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2769/3000:  92%|█████████▏| 2769/3000 [20:48<01:54,  2.02it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2770/3000:  92%|█████████▏| 2769/3000 [20:48<01:54,  2.02it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2770/3000:  92%|█████████▏| 2770/3000 [20:48<01:51,  2.06it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2770/3000:  92%|█████████▏| 2770/3000 [20:48<01:51,  2.06it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2771/3000:  92%|█████████▏| 2770/3000 [20:48<01:51,  2.06it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2771/3000:  92%|█████████▏| 2771/3000 [20:48<01:49,  2.09it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2771/3000:  92%|█████████▏| 2771/3000 [20:48<01:49,  2.09it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2772/3000:  92%|█████████▏| 2771/3000 [20:48<01:49,  2.09it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2772/3000:  92%|█████████▏| 2772/3000 [20:49<01:31,  2.49it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2772/3000:  92%|█████████▏| 2772/3000 [20:49<01:31,  2.49it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2773/3000:  92%|█████████▏| 2772/3000 [20:49<01:31,  2.49it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2773/3000:  92%|█████████▏| 2773/3000 [20:49<01:36,  2.35it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2773/3000:  92%|█████████▏| 2773/3000 [20:49<01:36,  2.35it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2774/3000:  92%|█████████▏| 2773/3000 [20:49<01:36,  2.35it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2774/3000:  92%|█████████▏| 2774/3000 [20:50<01:40,  2.26it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2774/3000:  92%|█████████▏| 2774/3000 [20:50<01:40,  2.26it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2775/3000:  92%|█████████▏| 2774/3000 [20:50<01:40,  2.26it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2775/3000:  92%|█████████▎| 2775/3000 [20:50<01:25,  2.64it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2775/3000:  92%|█████████▎| 2775/3000 [20:50<01:25,  2.64it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2776/3000:  92%|█████████▎| 2775/3000 [20:50<01:25,  2.64it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2776/3000:  93%|█████████▎| 2776/3000 [20:50<01:13,  3.04it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2776/3000:  93%|█████████▎| 2776/3000 [20:50<01:13,  3.04it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2777/3000:  93%|█████████▎| 2776/3000 [20:50<01:13,  3.04it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2777/3000:  93%|█████████▎| 2777/3000 [20:51<01:27,  2.54it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2777/3000:  93%|█████████▎| 2777/3000 [20:51<01:27,  2.54it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2778/3000:  93%|█████████▎| 2777/3000 [20:51<01:27,  2.54it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2778/3000:  93%|█████████▎| 2778/3000 [20:51<01:32,  2.41it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2778/3000:  93%|█████████▎| 2778/3000 [20:51<01:32,  2.41it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2779/3000:  93%|█████████▎| 2778/3000 [20:51<01:32,  2.41it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2779/3000:  93%|█████████▎| 2779/3000 [20:52<01:35,  2.30it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2779/3000:  93%|█████████▎| 2779/3000 [20:52<01:35,  2.30it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2780/3000:  93%|█████████▎| 2779/3000 [20:52<01:35,  2.30it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2780/3000:  93%|█████████▎| 2780/3000 [20:52<01:43,  2.12it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2780/3000:  93%|█████████▎| 2780/3000 [20:52<01:43,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2781/3000:  93%|█████████▎| 2780/3000 [20:52<01:43,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2781/3000:  93%|█████████▎| 2781/3000 [20:53<01:50,  1.99it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2781/3000:  93%|█████████▎| 2781/3000 [20:53<01:50,  1.99it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2782/3000:  93%|█████████▎| 2781/3000 [20:53<01:50,  1.99it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2782/3000:  93%|█████████▎| 2782/3000 [20:53<01:44,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2782/3000:  93%|█████████▎| 2782/3000 [20:53<01:44,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2783/3000:  93%|█████████▎| 2782/3000 [20:53<01:44,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2783/3000:  93%|█████████▎| 2783/3000 [20:54<01:37,  2.24it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2783/3000:  93%|█████████▎| 2783/3000 [20:54<01:37,  2.24it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2784/3000:  93%|█████████▎| 2783/3000 [20:54<01:37,  2.24it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2784/3000:  93%|█████████▎| 2784/3000 [20:54<01:40,  2.16it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2784/3000:  93%|█████████▎| 2784/3000 [20:54<01:40,  2.16it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2785/3000:  93%|█████████▎| 2784/3000 [20:54<01:40,  2.16it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2785/3000:  93%|█████████▎| 2785/3000 [20:54<01:35,  2.25it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2785/3000:  93%|█████████▎| 2785/3000 [20:54<01:35,  2.25it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2786/3000:  93%|█████████▎| 2785/3000 [20:54<01:35,  2.25it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2786/3000:  93%|█████████▎| 2786/3000 [20:55<01:39,  2.16it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2786/3000:  93%|█████████▎| 2786/3000 [20:55<01:39,  2.16it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2787/3000:  93%|█████████▎| 2786/3000 [20:55<01:39,  2.16it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2787/3000:  93%|█████████▎| 2787/3000 [20:55<01:33,  2.29it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2787/3000:  93%|█████████▎| 2787/3000 [20:55<01:33,  2.29it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2788/3000:  93%|█████████▎| 2787/3000 [20:55<01:33,  2.29it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2788/3000:  93%|█████████▎| 2788/3000 [20:56<01:33,  2.27it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2788/3000:  93%|█████████▎| 2788/3000 [20:56<01:33,  2.27it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2789/3000:  93%|█████████▎| 2788/3000 [20:56<01:33,  2.27it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2789/3000:  93%|█████████▎| 2789/3000 [20:56<01:29,  2.36it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2789/3000:  93%|█████████▎| 2789/3000 [20:56<01:29,  2.36it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2790/3000:  93%|█████████▎| 2789/3000 [20:56<01:29,  2.36it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2790/3000:  93%|█████████▎| 2790/3000 [20:57<01:32,  2.28it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2790/3000:  93%|█████████▎| 2790/3000 [20:57<01:32,  2.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2791/3000:  93%|█████████▎| 2790/3000 [20:57<01:32,  2.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2791/3000:  93%|█████████▎| 2791/3000 [20:57<01:32,  2.26it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2791/3000:  93%|█████████▎| 2791/3000 [20:57<01:32,  2.26it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2792/3000:  93%|█████████▎| 2791/3000 [20:57<01:32,  2.26it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2792/3000:  93%|█████████▎| 2792/3000 [20:58<01:35,  2.19it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2792/3000:  93%|█████████▎| 2792/3000 [20:58<01:35,  2.19it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2793/3000:  93%|█████████▎| 2792/3000 [20:58<01:35,  2.19it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2793/3000:  93%|█████████▎| 2793/3000 [20:58<01:43,  2.01it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2793/3000:  93%|█████████▎| 2793/3000 [20:58<01:43,  2.01it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2794/3000:  93%|█████████▎| 2793/3000 [20:58<01:43,  2.01it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2794/3000:  93%|█████████▎| 2794/3000 [20:59<01:36,  2.14it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2794/3000:  93%|█████████▎| 2794/3000 [20:59<01:36,  2.14it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2795/3000:  93%|█████████▎| 2794/3000 [20:59<01:36,  2.14it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2795/3000:  93%|█████████▎| 2795/3000 [20:59<01:31,  2.23it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2795/3000:  93%|█████████▎| 2795/3000 [20:59<01:31,  2.23it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2796/3000:  93%|█████████▎| 2795/3000 [20:59<01:31,  2.23it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2796/3000:  93%|█████████▎| 2796/3000 [20:59<01:32,  2.21it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2796/3000:  93%|█████████▎| 2796/3000 [20:59<01:32,  2.21it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2797/3000:  93%|█████████▎| 2796/3000 [20:59<01:32,  2.21it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2797/3000:  93%|█████████▎| 2797/3000 [21:00<01:31,  2.22it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2797/3000:  93%|█████████▎| 2797/3000 [21:00<01:31,  2.22it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2798/3000:  93%|█████████▎| 2797/3000 [21:00<01:31,  2.22it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2798/3000:  93%|█████████▎| 2798/3000 [21:00<01:31,  2.20it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2798/3000:  93%|█████████▎| 2798/3000 [21:00<01:31,  2.20it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2799/3000:  93%|█████████▎| 2798/3000 [21:00<01:31,  2.20it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2799/3000:  93%|█████████▎| 2799/3000 [21:01<01:32,  2.17it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2799/3000:  93%|█████████▎| 2799/3000 [21:01<01:32,  2.17it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2800/3000:  93%|█████████▎| 2799/3000 [21:01<01:32,  2.17it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2800/3000:  93%|█████████▎| 2800/3000 [21:01<01:42,  1.96it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2800/3000:  93%|█████████▎| 2800/3000 [21:01<01:42,  1.96it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2801/3000:  93%|█████████▎| 2800/3000 [21:01<01:42,  1.96it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2801/3000:  93%|█████████▎| 2801/3000 [21:02<01:42,  1.94it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2801/3000:  93%|█████████▎| 2801/3000 [21:02<01:42,  1.94it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2802/3000:  93%|█████████▎| 2801/3000 [21:02<01:42,  1.94it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2802/3000:  93%|█████████▎| 2802/3000 [21:02<01:42,  1.93it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2802/3000:  93%|█████████▎| 2802/3000 [21:02<01:42,  1.93it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2803/3000:  93%|█████████▎| 2802/3000 [21:03<01:42,  1.93it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2803/3000:  93%|█████████▎| 2803/3000 [21:03<01:42,  1.91it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2803/3000:  93%|█████████▎| 2803/3000 [21:03<01:42,  1.91it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2804/3000:  93%|█████████▎| 2803/3000 [21:03<01:42,  1.91it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2804/3000:  93%|█████████▎| 2804/3000 [21:04<01:47,  1.82it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2804/3000:  93%|█████████▎| 2804/3000 [21:04<01:47,  1.82it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2805/3000:  93%|█████████▎| 2804/3000 [21:04<01:47,  1.82it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2805/3000:  94%|█████████▎| 2805/3000 [21:04<01:43,  1.88it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2805/3000:  94%|█████████▎| 2805/3000 [21:04<01:43,  1.88it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2806/3000:  94%|█████████▎| 2805/3000 [21:04<01:43,  1.88it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2806/3000:  94%|█████████▎| 2806/3000 [21:05<01:39,  1.95it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2806/3000:  94%|█████████▎| 2806/3000 [21:05<01:39,  1.95it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2807/3000:  94%|█████████▎| 2806/3000 [21:05<01:39,  1.95it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2807/3000:  94%|█████████▎| 2807/3000 [21:05<01:46,  1.82it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2807/3000:  94%|█████████▎| 2807/3000 [21:05<01:46,  1.82it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2808/3000:  94%|█████████▎| 2807/3000 [21:05<01:46,  1.82it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2808/3000:  94%|█████████▎| 2808/3000 [21:06<01:48,  1.77it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2808/3000:  94%|█████████▎| 2808/3000 [21:06<01:48,  1.77it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2809/3000:  94%|█████████▎| 2808/3000 [21:06<01:48,  1.77it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2809/3000:  94%|█████████▎| 2809/3000 [21:06<01:51,  1.71it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2809/3000:  94%|█████████▎| 2809/3000 [21:06<01:51,  1.71it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2810/3000:  94%|█████████▎| 2809/3000 [21:07<01:51,  1.71it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2810/3000:  94%|█████████▎| 2810/3000 [21:07<01:48,  1.75it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2810/3000:  94%|█████████▎| 2810/3000 [21:07<01:48,  1.75it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2811/3000:  94%|█████████▎| 2810/3000 [21:07<01:48,  1.75it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2811/3000:  94%|█████████▎| 2811/3000 [21:07<01:40,  1.89it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2811/3000:  94%|█████████▎| 2811/3000 [21:07<01:40,  1.89it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2812/3000:  94%|█████████▎| 2811/3000 [21:07<01:40,  1.89it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2812/3000:  94%|█████████▎| 2812/3000 [21:08<01:41,  1.85it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2812/3000:  94%|█████████▎| 2812/3000 [21:08<01:41,  1.85it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.03e+6]Epoch 2813/3000:  94%|█████████▎| 2812/3000 [21:08<01:41,  1.85it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.03e+6]Epoch 2813/3000:  94%|█████████▍| 2813/3000 [21:08<01:37,  1.92it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.03e+6]Epoch 2813/3000:  94%|█████████▍| 2813/3000 [21:08<01:37,  1.92it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2814/3000:  94%|█████████▍| 2813/3000 [21:08<01:37,  1.92it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2814/3000:  94%|█████████▍| 2814/3000 [21:09<01:40,  1.85it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2814/3000:  94%|█████████▍| 2814/3000 [21:09<01:40,  1.85it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2815/3000:  94%|█████████▍| 2814/3000 [21:09<01:40,  1.85it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2815/3000:  94%|█████████▍| 2815/3000 [21:10<01:37,  1.90it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2815/3000:  94%|█████████▍| 2815/3000 [21:10<01:37,  1.90it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2816/3000:  94%|█████████▍| 2815/3000 [21:10<01:37,  1.90it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2816/3000:  94%|█████████▍| 2816/3000 [21:10<01:33,  1.98it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2816/3000:  94%|█████████▍| 2816/3000 [21:10<01:33,  1.98it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2817/3000:  94%|█████████▍| 2816/3000 [21:10<01:33,  1.98it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2817/3000:  94%|█████████▍| 2817/3000 [21:10<01:23,  2.18it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2817/3000:  94%|█████████▍| 2817/3000 [21:10<01:23,  2.18it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2818/3000:  94%|█████████▍| 2817/3000 [21:10<01:23,  2.18it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2818/3000:  94%|█████████▍| 2818/3000 [21:11<01:25,  2.12it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2818/3000:  94%|█████████▍| 2818/3000 [21:11<01:25,  2.12it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2819/3000:  94%|█████████▍| 2818/3000 [21:11<01:25,  2.12it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2819/3000:  94%|█████████▍| 2819/3000 [21:11<01:21,  2.23it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2819/3000:  94%|█████████▍| 2819/3000 [21:11<01:21,  2.23it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2820/3000:  94%|█████████▍| 2819/3000 [21:11<01:21,  2.23it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2820/3000:  94%|█████████▍| 2820/3000 [21:12<01:23,  2.14it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2820/3000:  94%|█████████▍| 2820/3000 [21:12<01:23,  2.14it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2821/3000:  94%|█████████▍| 2820/3000 [21:12<01:23,  2.14it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2821/3000:  94%|█████████▍| 2821/3000 [21:12<01:21,  2.20it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2821/3000:  94%|█████████▍| 2821/3000 [21:12<01:21,  2.20it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2822/3000:  94%|█████████▍| 2821/3000 [21:12<01:21,  2.20it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2822/3000:  94%|█████████▍| 2822/3000 [21:12<01:07,  2.65it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2822/3000:  94%|█████████▍| 2822/3000 [21:12<01:07,  2.65it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2823/3000:  94%|█████████▍| 2822/3000 [21:12<01:07,  2.65it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2823/3000:  94%|█████████▍| 2823/3000 [21:13<01:04,  2.73it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2823/3000:  94%|█████████▍| 2823/3000 [21:13<01:04,  2.73it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2824/3000:  94%|█████████▍| 2823/3000 [21:13<01:04,  2.73it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2824/3000:  94%|█████████▍| 2824/3000 [21:13<01:02,  2.80it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2824/3000:  94%|█████████▍| 2824/3000 [21:13<01:02,  2.80it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2825/3000:  94%|█████████▍| 2824/3000 [21:13<01:02,  2.80it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2825/3000:  94%|█████████▍| 2825/3000 [21:14<01:12,  2.43it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2825/3000:  94%|█████████▍| 2825/3000 [21:14<01:12,  2.43it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2826/3000:  94%|█████████▍| 2825/3000 [21:14<01:12,  2.43it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2826/3000:  94%|█████████▍| 2826/3000 [21:14<01:12,  2.41it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2826/3000:  94%|█████████▍| 2826/3000 [21:14<01:12,  2.41it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2827/3000:  94%|█████████▍| 2826/3000 [21:14<01:12,  2.41it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2827/3000:  94%|█████████▍| 2827/3000 [21:15<01:22,  2.10it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2827/3000:  94%|█████████▍| 2827/3000 [21:15<01:22,  2.10it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2828/3000:  94%|█████████▍| 2827/3000 [21:15<01:22,  2.10it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2828/3000:  94%|█████████▍| 2828/3000 [21:15<01:15,  2.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2828/3000:  94%|█████████▍| 2828/3000 [21:15<01:15,  2.28it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2829/3000:  94%|█████████▍| 2828/3000 [21:15<01:15,  2.28it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2829/3000:  94%|█████████▍| 2829/3000 [21:15<01:16,  2.24it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2829/3000:  94%|█████████▍| 2829/3000 [21:15<01:16,  2.24it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2830/3000:  94%|█████████▍| 2829/3000 [21:15<01:16,  2.24it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2830/3000:  94%|█████████▍| 2830/3000 [21:16<01:21,  2.08it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2830/3000:  94%|█████████▍| 2830/3000 [21:16<01:21,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2831/3000:  94%|█████████▍| 2830/3000 [21:16<01:21,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2831/3000:  94%|█████████▍| 2831/3000 [21:16<01:19,  2.12it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2831/3000:  94%|█████████▍| 2831/3000 [21:16<01:19,  2.12it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2832/3000:  94%|█████████▍| 2831/3000 [21:16<01:19,  2.12it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2832/3000:  94%|█████████▍| 2832/3000 [21:17<01:22,  2.05it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2832/3000:  94%|█████████▍| 2832/3000 [21:17<01:22,  2.05it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2833/3000:  94%|█████████▍| 2832/3000 [21:17<01:22,  2.05it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2833/3000:  94%|█████████▍| 2833/3000 [21:17<01:18,  2.13it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2833/3000:  94%|█████████▍| 2833/3000 [21:17<01:18,  2.13it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2834/3000:  94%|█████████▍| 2833/3000 [21:17<01:18,  2.13it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2834/3000:  94%|█████████▍| 2834/3000 [21:18<01:18,  2.12it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2834/3000:  94%|█████████▍| 2834/3000 [21:18<01:18,  2.12it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2835/3000:  94%|█████████▍| 2834/3000 [21:18<01:18,  2.12it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2835/3000:  94%|█████████▍| 2835/3000 [21:18<01:16,  2.15it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2835/3000:  94%|█████████▍| 2835/3000 [21:18<01:16,  2.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2836/3000:  94%|█████████▍| 2835/3000 [21:18<01:16,  2.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2836/3000:  95%|█████████▍| 2836/3000 [21:19<01:11,  2.29it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2836/3000:  95%|█████████▍| 2836/3000 [21:19<01:11,  2.29it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2837/3000:  95%|█████████▍| 2836/3000 [21:19<01:11,  2.29it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2837/3000:  95%|█████████▍| 2837/3000 [21:19<01:15,  2.16it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2837/3000:  95%|█████████▍| 2837/3000 [21:19<01:15,  2.16it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2838/3000:  95%|█████████▍| 2837/3000 [21:19<01:15,  2.16it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2838/3000:  95%|█████████▍| 2838/3000 [21:20<01:15,  2.14it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2838/3000:  95%|█████████▍| 2838/3000 [21:20<01:15,  2.14it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2839/3000:  95%|█████████▍| 2838/3000 [21:20<01:15,  2.14it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2839/3000:  95%|█████████▍| 2839/3000 [21:20<01:19,  2.02it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2839/3000:  95%|█████████▍| 2839/3000 [21:20<01:19,  2.02it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2840/3000:  95%|█████████▍| 2839/3000 [21:20<01:19,  2.02it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2840/3000:  95%|█████████▍| 2840/3000 [21:21<01:19,  2.01it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2840/3000:  95%|█████████▍| 2840/3000 [21:21<01:19,  2.01it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2841/3000:  95%|█████████▍| 2840/3000 [21:21<01:19,  2.01it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2841/3000:  95%|█████████▍| 2841/3000 [21:21<01:12,  2.18it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2841/3000:  95%|█████████▍| 2841/3000 [21:21<01:12,  2.18it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2842/3000:  95%|█████████▍| 2841/3000 [21:21<01:12,  2.18it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2842/3000:  95%|█████████▍| 2842/3000 [21:22<01:15,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2842/3000:  95%|█████████▍| 2842/3000 [21:22<01:15,  2.10it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2843/3000:  95%|█████████▍| 2842/3000 [21:22<01:15,  2.10it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2843/3000:  95%|█████████▍| 2843/3000 [21:22<01:13,  2.15it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2843/3000:  95%|█████████▍| 2843/3000 [21:22<01:13,  2.15it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2844/3000:  95%|█████████▍| 2843/3000 [21:22<01:13,  2.15it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2844/3000:  95%|█████████▍| 2844/3000 [21:22<01:08,  2.27it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2844/3000:  95%|█████████▍| 2844/3000 [21:23<01:08,  2.27it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2845/3000:  95%|█████████▍| 2844/3000 [21:23<01:08,  2.27it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2845/3000:  95%|█████████▍| 2845/3000 [21:23<01:12,  2.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2845/3000:  95%|█████████▍| 2845/3000 [21:23<01:12,  2.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2846/3000:  95%|█████████▍| 2845/3000 [21:23<01:12,  2.15it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2846/3000:  95%|█████████▍| 2846/3000 [21:24<01:12,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2846/3000:  95%|█████████▍| 2846/3000 [21:24<01:12,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2847/3000:  95%|█████████▍| 2846/3000 [21:24<01:12,  2.12it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2847/3000:  95%|█████████▍| 2847/3000 [21:24<01:08,  2.23it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2847/3000:  95%|█████████▍| 2847/3000 [21:24<01:08,  2.23it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2848/3000:  95%|█████████▍| 2847/3000 [21:24<01:08,  2.23it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2848/3000:  95%|█████████▍| 2848/3000 [21:24<01:04,  2.35it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2848/3000:  95%|█████████▍| 2848/3000 [21:24<01:04,  2.35it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2849/3000:  95%|█████████▍| 2848/3000 [21:24<01:04,  2.35it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2849/3000:  95%|█████████▍| 2849/3000 [21:25<00:59,  2.52it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2849/3000:  95%|█████████▍| 2849/3000 [21:25<00:59,  2.52it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2850/3000:  95%|█████████▍| 2849/3000 [21:25<00:59,  2.52it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2850/3000:  95%|█████████▌| 2850/3000 [21:25<00:55,  2.73it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2850/3000:  95%|█████████▌| 2850/3000 [21:25<00:55,  2.73it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2851/3000:  95%|█████████▌| 2850/3000 [21:25<00:55,  2.73it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2851/3000:  95%|█████████▌| 2851/3000 [21:25<00:53,  2.79it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2851/3000:  95%|█████████▌| 2851/3000 [21:25<00:53,  2.79it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2852/3000:  95%|█████████▌| 2851/3000 [21:25<00:53,  2.79it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2852/3000:  95%|█████████▌| 2852/3000 [21:26<00:57,  2.56it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2852/3000:  95%|█████████▌| 2852/3000 [21:26<00:57,  2.56it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2853/3000:  95%|█████████▌| 2852/3000 [21:26<00:57,  2.56it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2853/3000:  95%|█████████▌| 2853/3000 [21:26<00:48,  3.02it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2853/3000:  95%|█████████▌| 2853/3000 [21:26<00:48,  3.02it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2854/3000:  95%|█████████▌| 2853/3000 [21:26<00:48,  3.02it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2854/3000:  95%|█████████▌| 2854/3000 [21:26<00:51,  2.84it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2854/3000:  95%|█████████▌| 2854/3000 [21:26<00:51,  2.84it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2855/3000:  95%|█████████▌| 2854/3000 [21:26<00:51,  2.84it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2855/3000:  95%|█████████▌| 2855/3000 [21:27<00:58,  2.47it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2855/3000:  95%|█████████▌| 2855/3000 [21:27<00:58,  2.47it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2856/3000:  95%|█████████▌| 2855/3000 [21:27<00:58,  2.47it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2856/3000:  95%|█████████▌| 2856/3000 [21:27<00:58,  2.45it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2856/3000:  95%|█████████▌| 2856/3000 [21:27<00:58,  2.45it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2857/3000:  95%|█████████▌| 2856/3000 [21:27<00:58,  2.45it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2857/3000:  95%|█████████▌| 2857/3000 [21:28<01:05,  2.18it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2857/3000:  95%|█████████▌| 2857/3000 [21:28<01:05,  2.18it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2858/3000:  95%|█████████▌| 2857/3000 [21:28<01:05,  2.18it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2858/3000:  95%|█████████▌| 2858/3000 [21:28<01:07,  2.09it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2858/3000:  95%|█████████▌| 2858/3000 [21:28<01:07,  2.09it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2859/3000:  95%|█████████▌| 2858/3000 [21:28<01:07,  2.09it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2859/3000:  95%|█████████▌| 2859/3000 [21:29<01:05,  2.15it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2859/3000:  95%|█████████▌| 2859/3000 [21:29<01:05,  2.15it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2860/3000:  95%|█████████▌| 2859/3000 [21:29<01:05,  2.15it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2860/3000:  95%|█████████▌| 2860/3000 [21:29<01:02,  2.25it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2860/3000:  95%|█████████▌| 2860/3000 [21:29<01:02,  2.25it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2861/3000:  95%|█████████▌| 2860/3000 [21:29<01:02,  2.25it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2861/3000:  95%|█████████▌| 2861/3000 [21:30<01:01,  2.27it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2861/3000:  95%|█████████▌| 2861/3000 [21:30<01:01,  2.27it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2862/3000:  95%|█████████▌| 2861/3000 [21:30<01:01,  2.27it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2862/3000:  95%|█████████▌| 2862/3000 [21:30<00:58,  2.36it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2862/3000:  95%|█████████▌| 2862/3000 [21:30<00:58,  2.36it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2863/3000:  95%|█████████▌| 2862/3000 [21:30<00:58,  2.36it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2863/3000:  95%|█████████▌| 2863/3000 [21:30<00:46,  2.94it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2863/3000:  95%|█████████▌| 2863/3000 [21:30<00:46,  2.94it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2864/3000:  95%|█████████▌| 2863/3000 [21:30<00:46,  2.94it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2864/3000:  95%|█████████▌| 2864/3000 [21:30<00:45,  2.97it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2864/3000:  95%|█████████▌| 2864/3000 [21:30<00:45,  2.97it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2865/3000:  95%|█████████▌| 2864/3000 [21:30<00:45,  2.97it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2865/3000:  96%|█████████▌| 2865/3000 [21:31<00:56,  2.38it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2865/3000:  96%|█████████▌| 2865/3000 [21:31<00:56,  2.38it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2866/3000:  96%|█████████▌| 2865/3000 [21:31<00:56,  2.38it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2866/3000:  96%|█████████▌| 2866/3000 [21:31<00:52,  2.54it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2866/3000:  96%|█████████▌| 2866/3000 [21:31<00:52,  2.54it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2867/3000:  96%|█████████▌| 2866/3000 [21:31<00:52,  2.54it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2867/3000:  96%|█████████▌| 2867/3000 [21:32<00:50,  2.63it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2867/3000:  96%|█████████▌| 2867/3000 [21:32<00:50,  2.63it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2868/3000:  96%|█████████▌| 2867/3000 [21:32<00:50,  2.63it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2868/3000:  96%|█████████▌| 2868/3000 [21:32<00:54,  2.41it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2868/3000:  96%|█████████▌| 2868/3000 [21:32<00:54,  2.41it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2869/3000:  96%|█████████▌| 2868/3000 [21:32<00:54,  2.41it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2869/3000:  96%|█████████▌| 2869/3000 [21:33<01:00,  2.16it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2869/3000:  96%|█████████▌| 2869/3000 [21:33<01:00,  2.16it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2870/3000:  96%|█████████▌| 2869/3000 [21:33<01:00,  2.16it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2870/3000:  96%|█████████▌| 2870/3000 [21:33<00:57,  2.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2870/3000:  96%|█████████▌| 2870/3000 [21:33<00:57,  2.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2871/3000:  96%|█████████▌| 2870/3000 [21:33<00:57,  2.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2871/3000:  96%|█████████▌| 2871/3000 [21:34<00:57,  2.24it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2871/3000:  96%|█████████▌| 2871/3000 [21:34<00:57,  2.24it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.03e+6]   Epoch 2872/3000:  96%|█████████▌| 2871/3000 [21:34<00:57,  2.24it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.03e+6]Epoch 2872/3000:  96%|█████████▌| 2872/3000 [21:34<00:55,  2.29it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.03e+6]Epoch 2872/3000:  96%|█████████▌| 2872/3000 [21:34<00:55,  2.29it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2873/3000:  96%|█████████▌| 2872/3000 [21:34<00:55,  2.29it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2873/3000:  96%|█████████▌| 2873/3000 [21:35<00:54,  2.33it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2873/3000:  96%|█████████▌| 2873/3000 [21:35<00:54,  2.33it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2874/3000:  96%|█████████▌| 2873/3000 [21:35<00:54,  2.33it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2874/3000:  96%|█████████▌| 2874/3000 [21:35<00:52,  2.39it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2874/3000:  96%|█████████▌| 2874/3000 [21:35<00:52,  2.39it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2875/3000:  96%|█████████▌| 2874/3000 [21:35<00:52,  2.39it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2875/3000:  96%|█████████▌| 2875/3000 [21:35<00:55,  2.26it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2875/3000:  96%|█████████▌| 2875/3000 [21:35<00:55,  2.26it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2876/3000:  96%|█████████▌| 2875/3000 [21:35<00:55,  2.26it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2876/3000:  96%|█████████▌| 2876/3000 [21:36<00:47,  2.63it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2876/3000:  96%|█████████▌| 2876/3000 [21:36<00:47,  2.63it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2877/3000:  96%|█████████▌| 2876/3000 [21:36<00:47,  2.63it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2877/3000:  96%|█████████▌| 2877/3000 [21:36<00:37,  3.24it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2877/3000:  96%|█████████▌| 2877/3000 [21:36<00:37,  3.24it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2878/3000:  96%|█████████▌| 2877/3000 [21:36<00:37,  3.24it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2878/3000:  96%|█████████▌| 2878/3000 [21:36<00:45,  2.68it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2878/3000:  96%|█████████▌| 2878/3000 [21:36<00:45,  2.68it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2879/3000:  96%|█████████▌| 2878/3000 [21:36<00:45,  2.68it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2879/3000:  96%|█████████▌| 2879/3000 [21:37<00:56,  2.16it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2879/3000:  96%|█████████▌| 2879/3000 [21:37<00:56,  2.16it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2880/3000:  96%|█████████▌| 2879/3000 [21:37<00:56,  2.16it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2880/3000:  96%|█████████▌| 2880/3000 [21:37<00:56,  2.11it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2880/3000:  96%|█████████▌| 2880/3000 [21:37<00:56,  2.11it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2881/3000:  96%|█████████▌| 2880/3000 [21:37<00:56,  2.11it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2881/3000:  96%|█████████▌| 2881/3000 [21:38<00:57,  2.06it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2881/3000:  96%|█████████▌| 2881/3000 [21:38<00:57,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2882/3000:  96%|█████████▌| 2881/3000 [21:38<00:57,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2882/3000:  96%|█████████▌| 2882/3000 [21:38<00:55,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2882/3000:  96%|█████████▌| 2882/3000 [21:38<00:55,  2.12it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2883/3000:  96%|█████████▌| 2882/3000 [21:38<00:55,  2.12it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2883/3000:  96%|█████████▌| 2883/3000 [21:39<00:55,  2.11it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2883/3000:  96%|█████████▌| 2883/3000 [21:39<00:55,  2.11it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2884/3000:  96%|█████████▌| 2883/3000 [21:39<00:55,  2.11it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2884/3000:  96%|█████████▌| 2884/3000 [21:39<00:55,  2.11it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2884/3000:  96%|█████████▌| 2884/3000 [21:39<00:55,  2.11it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2885/3000:  96%|█████████▌| 2884/3000 [21:39<00:55,  2.11it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2885/3000:  96%|█████████▌| 2885/3000 [21:40<00:49,  2.33it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2885/3000:  96%|█████████▌| 2885/3000 [21:40<00:49,  2.33it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2886/3000:  96%|█████████▌| 2885/3000 [21:40<00:49,  2.33it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2886/3000:  96%|█████████▌| 2886/3000 [21:40<00:46,  2.46it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2886/3000:  96%|█████████▌| 2886/3000 [21:40<00:46,  2.46it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2887/3000:  96%|█████████▌| 2886/3000 [21:40<00:46,  2.46it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2887/3000:  96%|█████████▌| 2887/3000 [21:41<00:51,  2.19it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2887/3000:  96%|█████████▌| 2887/3000 [21:41<00:51,  2.19it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2888/3000:  96%|█████████▌| 2887/3000 [21:41<00:51,  2.19it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2888/3000:  96%|█████████▋| 2888/3000 [21:41<00:56,  1.99it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.03e+6]Epoch 2888/3000:  96%|█████████▋| 2888/3000 [21:41<00:56,  1.99it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2889/3000:  96%|█████████▋| 2888/3000 [21:41<00:56,  1.99it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2889/3000:  96%|█████████▋| 2889/3000 [21:42<00:48,  2.28it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2889/3000:  96%|█████████▋| 2889/3000 [21:42<00:48,  2.28it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2890/3000:  96%|█████████▋| 2889/3000 [21:42<00:48,  2.28it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2890/3000:  96%|█████████▋| 2890/3000 [21:42<00:49,  2.21it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2890/3000:  96%|█████████▋| 2890/3000 [21:42<00:49,  2.21it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2891/3000:  96%|█████████▋| 2890/3000 [21:42<00:49,  2.21it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2891/3000:  96%|█████████▋| 2891/3000 [21:43<00:52,  2.06it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2891/3000:  96%|█████████▋| 2891/3000 [21:43<00:52,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2892/3000:  96%|█████████▋| 2891/3000 [21:43<00:52,  2.06it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2892/3000:  96%|█████████▋| 2892/3000 [21:43<00:51,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2892/3000:  96%|█████████▋| 2892/3000 [21:43<00:51,  2.12it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2893/3000:  96%|█████████▋| 2892/3000 [21:43<00:51,  2.12it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2893/3000:  96%|█████████▋| 2893/3000 [21:43<00:47,  2.24it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2893/3000:  96%|█████████▋| 2893/3000 [21:43<00:47,  2.24it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2894/3000:  96%|█████████▋| 2893/3000 [21:43<00:47,  2.24it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2894/3000:  96%|█████████▋| 2894/3000 [21:44<00:48,  2.18it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2894/3000:  96%|█████████▋| 2894/3000 [21:44<00:48,  2.18it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2895/3000:  96%|█████████▋| 2894/3000 [21:44<00:48,  2.18it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2895/3000:  96%|█████████▋| 2895/3000 [21:44<00:47,  2.21it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2895/3000:  96%|█████████▋| 2895/3000 [21:44<00:47,  2.21it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2896/3000:  96%|█████████▋| 2895/3000 [21:44<00:47,  2.21it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2896/3000:  97%|█████████▋| 2896/3000 [21:45<00:49,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2896/3000:  97%|█████████▋| 2896/3000 [21:45<00:49,  2.10it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2897/3000:  97%|█████████▋| 2896/3000 [21:45<00:49,  2.10it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2897/3000:  97%|█████████▋| 2897/3000 [21:45<00:51,  2.00it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2897/3000:  97%|█████████▋| 2897/3000 [21:45<00:51,  2.00it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2898/3000:  97%|█████████▋| 2897/3000 [21:45<00:51,  2.00it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2898/3000:  97%|█████████▋| 2898/3000 [21:46<00:52,  1.93it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.03e+6]Epoch 2898/3000:  97%|█████████▋| 2898/3000 [21:46<00:52,  1.93it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2899/3000:  97%|█████████▋| 2898/3000 [21:46<00:52,  1.93it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2899/3000:  97%|█████████▋| 2899/3000 [21:46<00:48,  2.10it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.03e+6]Epoch 2899/3000:  97%|█████████▋| 2899/3000 [21:46<00:48,  2.10it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2900/3000:  97%|█████████▋| 2899/3000 [21:46<00:48,  2.10it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2900/3000:  97%|█████████▋| 2900/3000 [21:47<00:48,  2.05it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2900/3000:  97%|█████████▋| 2900/3000 [21:47<00:48,  2.05it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2901/3000:  97%|█████████▋| 2900/3000 [21:47<00:48,  2.05it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2901/3000:  97%|█████████▋| 2901/3000 [21:48<00:53,  1.86it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2901/3000:  97%|█████████▋| 2901/3000 [21:48<00:53,  1.86it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2902/3000:  97%|█████████▋| 2901/3000 [21:48<00:53,  1.86it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2902/3000:  97%|█████████▋| 2902/3000 [21:48<00:51,  1.92it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2902/3000:  97%|█████████▋| 2902/3000 [21:48<00:51,  1.92it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2903/3000:  97%|█████████▋| 2902/3000 [21:48<00:51,  1.92it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2903/3000:  97%|█████████▋| 2903/3000 [21:48<00:44,  2.17it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.03e+6]Epoch 2903/3000:  97%|█████████▋| 2903/3000 [21:48<00:44,  2.17it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2904/3000:  97%|█████████▋| 2903/3000 [21:48<00:44,  2.17it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2904/3000:  97%|█████████▋| 2904/3000 [21:49<00:39,  2.41it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.03e+6]Epoch 2904/3000:  97%|█████████▋| 2904/3000 [21:49<00:39,  2.41it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2905/3000:  97%|█████████▋| 2904/3000 [21:49<00:39,  2.41it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2905/3000:  97%|█████████▋| 2905/3000 [21:49<00:33,  2.82it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2905/3000:  97%|█████████▋| 2905/3000 [21:49<00:33,  2.82it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2906/3000:  97%|█████████▋| 2905/3000 [21:49<00:33,  2.82it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2906/3000:  97%|█████████▋| 2906/3000 [21:49<00:30,  3.07it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2906/3000:  97%|█████████▋| 2906/3000 [21:49<00:30,  3.07it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2907/3000:  97%|█████████▋| 2906/3000 [21:49<00:30,  3.07it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2907/3000:  97%|█████████▋| 2907/3000 [21:50<00:36,  2.53it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2907/3000:  97%|█████████▋| 2907/3000 [21:50<00:36,  2.53it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2908/3000:  97%|█████████▋| 2907/3000 [21:50<00:36,  2.53it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2908/3000:  97%|█████████▋| 2908/3000 [21:50<00:38,  2.37it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2908/3000:  97%|█████████▋| 2908/3000 [21:50<00:38,  2.37it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2909/3000:  97%|█████████▋| 2908/3000 [21:50<00:38,  2.37it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2909/3000:  97%|█████████▋| 2909/3000 [21:51<00:44,  2.04it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2909/3000:  97%|█████████▋| 2909/3000 [21:51<00:44,  2.04it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2910/3000:  97%|█████████▋| 2909/3000 [21:51<00:44,  2.04it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2910/3000:  97%|█████████▋| 2910/3000 [21:51<00:40,  2.21it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2910/3000:  97%|█████████▋| 2910/3000 [21:51<00:40,  2.21it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2911/3000:  97%|█████████▋| 2910/3000 [21:51<00:40,  2.21it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2911/3000:  97%|█████████▋| 2911/3000 [21:52<00:41,  2.14it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2911/3000:  97%|█████████▋| 2911/3000 [21:52<00:41,  2.14it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2912/3000:  97%|█████████▋| 2911/3000 [21:52<00:41,  2.14it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2912/3000:  97%|█████████▋| 2912/3000 [21:52<00:38,  2.27it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2912/3000:  97%|█████████▋| 2912/3000 [21:52<00:38,  2.27it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2913/3000:  97%|█████████▋| 2912/3000 [21:52<00:38,  2.27it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2913/3000:  97%|█████████▋| 2913/3000 [21:53<00:39,  2.22it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2913/3000:  97%|█████████▋| 2913/3000 [21:53<00:39,  2.22it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2914/3000:  97%|█████████▋| 2913/3000 [21:53<00:39,  2.22it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2914/3000:  97%|█████████▋| 2914/3000 [21:53<00:39,  2.18it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2914/3000:  97%|█████████▋| 2914/3000 [21:53<00:39,  2.18it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.02e+6]Epoch 2915/3000:  97%|█████████▋| 2914/3000 [21:53<00:39,  2.18it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.02e+6]Epoch 2915/3000:  97%|█████████▋| 2915/3000 [21:54<00:41,  2.07it/s, v_num=1, train_loss_step=1.05e+6, train_loss_epoch=1.02e+6]Epoch 2915/3000:  97%|█████████▋| 2915/3000 [21:54<00:41,  2.07it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2916/3000:  97%|█████████▋| 2915/3000 [21:54<00:41,  2.07it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2916/3000:  97%|█████████▋| 2916/3000 [21:54<00:36,  2.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2916/3000:  97%|█████████▋| 2916/3000 [21:54<00:36,  2.28it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.02e+6]   Epoch 2917/3000:  97%|█████████▋| 2916/3000 [21:54<00:36,  2.28it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.02e+6]Epoch 2917/3000:  97%|█████████▋| 2917/3000 [21:54<00:38,  2.16it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.02e+6]Epoch 2917/3000:  97%|█████████▋| 2917/3000 [21:54<00:38,  2.16it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2918/3000:  97%|█████████▋| 2917/3000 [21:54<00:38,  2.16it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2918/3000:  97%|█████████▋| 2918/3000 [21:55<00:36,  2.27it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2918/3000:  97%|█████████▋| 2918/3000 [21:55<00:36,  2.27it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2919/3000:  97%|█████████▋| 2918/3000 [21:55<00:36,  2.27it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2919/3000:  97%|█████████▋| 2919/3000 [21:55<00:38,  2.10it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2919/3000:  97%|█████████▋| 2919/3000 [21:55<00:38,  2.10it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2920/3000:  97%|█████████▋| 2919/3000 [21:55<00:38,  2.10it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2920/3000:  97%|█████████▋| 2920/3000 [21:56<00:40,  1.99it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2920/3000:  97%|█████████▋| 2920/3000 [21:56<00:40,  1.99it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2921/3000:  97%|█████████▋| 2920/3000 [21:56<00:40,  1.99it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2921/3000:  97%|█████████▋| 2921/3000 [21:56<00:37,  2.10it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2921/3000:  97%|█████████▋| 2921/3000 [21:56<00:37,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2922/3000:  97%|█████████▋| 2921/3000 [21:56<00:37,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2922/3000:  97%|█████████▋| 2922/3000 [21:57<00:39,  1.97it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2922/3000:  97%|█████████▋| 2922/3000 [21:57<00:39,  1.97it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2923/3000:  97%|█████████▋| 2922/3000 [21:57<00:39,  1.97it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2923/3000:  97%|█████████▋| 2923/3000 [21:57<00:39,  1.95it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2923/3000:  97%|█████████▋| 2923/3000 [21:57<00:39,  1.95it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2924/3000:  97%|█████████▋| 2923/3000 [21:57<00:39,  1.95it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2924/3000:  97%|█████████▋| 2924/3000 [21:58<00:35,  2.14it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2924/3000:  97%|█████████▋| 2924/3000 [21:58<00:35,  2.14it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.02e+6]   Epoch 2925/3000:  97%|█████████▋| 2924/3000 [21:58<00:35,  2.14it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.02e+6]Epoch 2925/3000:  98%|█████████▊| 2925/3000 [21:58<00:38,  1.92it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.02e+6]Epoch 2925/3000:  98%|█████████▊| 2925/3000 [21:58<00:38,  1.92it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2926/3000:  98%|█████████▊| 2925/3000 [21:58<00:38,  1.92it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2926/3000:  98%|█████████▊| 2926/3000 [21:59<00:35,  2.10it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2926/3000:  98%|█████████▊| 2926/3000 [21:59<00:35,  2.10it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2927/3000:  98%|█████████▊| 2926/3000 [21:59<00:35,  2.10it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2927/3000:  98%|█████████▊| 2927/3000 [21:59<00:32,  2.28it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2927/3000:  98%|█████████▊| 2927/3000 [21:59<00:32,  2.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2928/3000:  98%|█████████▊| 2927/3000 [21:59<00:32,  2.28it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2928/3000:  98%|█████████▊| 2928/3000 [22:00<00:30,  2.39it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2928/3000:  98%|█████████▊| 2928/3000 [22:00<00:30,  2.39it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2929/3000:  98%|█████████▊| 2928/3000 [22:00<00:30,  2.39it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2929/3000:  98%|█████████▊| 2929/3000 [22:00<00:28,  2.47it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2929/3000:  98%|█████████▊| 2929/3000 [22:00<00:28,  2.47it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2930/3000:  98%|█████████▊| 2929/3000 [22:00<00:28,  2.47it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2930/3000:  98%|█████████▊| 2930/3000 [22:00<00:32,  2.17it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2930/3000:  98%|█████████▊| 2930/3000 [22:00<00:32,  2.17it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2931/3000:  98%|█████████▊| 2930/3000 [22:01<00:32,  2.17it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2931/3000:  98%|█████████▊| 2931/3000 [22:01<00:30,  2.25it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2931/3000:  98%|█████████▊| 2931/3000 [22:01<00:30,  2.25it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2932/3000:  98%|█████████▊| 2931/3000 [22:01<00:30,  2.25it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2932/3000:  98%|█████████▊| 2932/3000 [22:01<00:28,  2.40it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2932/3000:  98%|█████████▊| 2932/3000 [22:01<00:28,  2.40it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2933/3000:  98%|█████████▊| 2932/3000 [22:01<00:28,  2.40it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2933/3000:  98%|█████████▊| 2933/3000 [22:01<00:24,  2.74it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2933/3000:  98%|█████████▊| 2933/3000 [22:02<00:24,  2.74it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2934/3000:  98%|█████████▊| 2933/3000 [22:02<00:24,  2.74it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2934/3000:  98%|█████████▊| 2934/3000 [22:02<00:23,  2.85it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2934/3000:  98%|█████████▊| 2934/3000 [22:02<00:23,  2.85it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2935/3000:  98%|█████████▊| 2934/3000 [22:02<00:23,  2.85it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2935/3000:  98%|█████████▊| 2935/3000 [22:02<00:22,  2.88it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2935/3000:  98%|█████████▊| 2935/3000 [22:02<00:22,  2.88it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2936/3000:  98%|█████████▊| 2935/3000 [22:02<00:22,  2.88it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2936/3000:  98%|█████████▊| 2936/3000 [22:03<00:27,  2.31it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2936/3000:  98%|█████████▊| 2936/3000 [22:03<00:27,  2.31it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.02e+6]Epoch 2937/3000:  98%|█████████▊| 2936/3000 [22:03<00:27,  2.31it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.02e+6]Epoch 2937/3000:  98%|█████████▊| 2937/3000 [22:03<00:26,  2.35it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.02e+6]Epoch 2937/3000:  98%|█████████▊| 2937/3000 [22:03<00:26,  2.35it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2938/3000:  98%|█████████▊| 2937/3000 [22:03<00:26,  2.35it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2938/3000:  98%|█████████▊| 2938/3000 [22:04<00:28,  2.17it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2938/3000:  98%|█████████▊| 2938/3000 [22:04<00:28,  2.17it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2939/3000:  98%|█████████▊| 2938/3000 [22:04<00:28,  2.17it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2939/3000:  98%|█████████▊| 2939/3000 [22:04<00:28,  2.12it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2939/3000:  98%|█████████▊| 2939/3000 [22:04<00:28,  2.12it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2940/3000:  98%|█████████▊| 2939/3000 [22:04<00:28,  2.12it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2940/3000:  98%|█████████▊| 2940/3000 [22:05<00:30,  1.94it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2940/3000:  98%|█████████▊| 2940/3000 [22:05<00:30,  1.94it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2941/3000:  98%|█████████▊| 2940/3000 [22:05<00:30,  1.94it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2941/3000:  98%|█████████▊| 2941/3000 [22:05<00:26,  2.20it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2941/3000:  98%|█████████▊| 2941/3000 [22:05<00:26,  2.20it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2942/3000:  98%|█████████▊| 2941/3000 [22:05<00:26,  2.20it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2942/3000:  98%|█████████▊| 2942/3000 [22:05<00:21,  2.74it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2942/3000:  98%|█████████▊| 2942/3000 [22:05<00:21,  2.74it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2943/3000:  98%|█████████▊| 2942/3000 [22:05<00:21,  2.74it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2943/3000:  98%|█████████▊| 2943/3000 [22:06<00:18,  3.14it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2943/3000:  98%|█████████▊| 2943/3000 [22:06<00:18,  3.14it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2944/3000:  98%|█████████▊| 2943/3000 [22:06<00:18,  3.14it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2944/3000:  98%|█████████▊| 2944/3000 [22:06<00:18,  3.06it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2944/3000:  98%|█████████▊| 2944/3000 [22:06<00:18,  3.06it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2945/3000:  98%|█████████▊| 2944/3000 [22:06<00:18,  3.06it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2945/3000:  98%|█████████▊| 2945/3000 [22:06<00:21,  2.55it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2945/3000:  98%|█████████▊| 2945/3000 [22:06<00:21,  2.55it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2946/3000:  98%|█████████▊| 2945/3000 [22:06<00:21,  2.55it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2946/3000:  98%|█████████▊| 2946/3000 [22:07<00:20,  2.68it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2946/3000:  98%|█████████▊| 2946/3000 [22:07<00:20,  2.68it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2947/3000:  98%|█████████▊| 2946/3000 [22:07<00:20,  2.68it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2947/3000:  98%|█████████▊| 2947/3000 [22:07<00:20,  2.55it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2947/3000:  98%|█████████▊| 2947/3000 [22:07<00:20,  2.55it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2948/3000:  98%|█████████▊| 2947/3000 [22:07<00:20,  2.55it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2948/3000:  98%|█████████▊| 2948/3000 [22:08<00:20,  2.57it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2948/3000:  98%|█████████▊| 2948/3000 [22:08<00:20,  2.57it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2949/3000:  98%|█████████▊| 2948/3000 [22:08<00:20,  2.57it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2949/3000:  98%|█████████▊| 2949/3000 [22:08<00:20,  2.48it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2949/3000:  98%|█████████▊| 2949/3000 [22:08<00:20,  2.48it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2950/3000:  98%|█████████▊| 2949/3000 [22:08<00:20,  2.48it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2950/3000:  98%|█████████▊| 2950/3000 [22:08<00:17,  2.80it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2950/3000:  98%|█████████▊| 2950/3000 [22:08<00:17,  2.80it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2951/3000:  98%|█████████▊| 2950/3000 [22:08<00:17,  2.80it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2951/3000:  98%|█████████▊| 2951/3000 [22:09<00:18,  2.70it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2951/3000:  98%|█████████▊| 2951/3000 [22:09<00:18,  2.70it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2952/3000:  98%|█████████▊| 2951/3000 [22:09<00:18,  2.70it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2952/3000:  98%|█████████▊| 2952/3000 [22:09<00:21,  2.27it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2952/3000:  98%|█████████▊| 2952/3000 [22:09<00:21,  2.27it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2953/3000:  98%|█████████▊| 2952/3000 [22:09<00:21,  2.27it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2953/3000:  98%|█████████▊| 2953/3000 [22:10<00:20,  2.29it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2953/3000:  98%|█████████▊| 2953/3000 [22:10<00:20,  2.29it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2954/3000:  98%|█████████▊| 2953/3000 [22:10<00:20,  2.29it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2954/3000:  98%|█████████▊| 2954/3000 [22:10<00:21,  2.10it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2954/3000:  98%|█████████▊| 2954/3000 [22:10<00:21,  2.10it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2955/3000:  98%|█████████▊| 2954/3000 [22:10<00:21,  2.10it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2955/3000:  98%|█████████▊| 2955/3000 [22:11<00:20,  2.21it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2955/3000:  98%|█████████▊| 2955/3000 [22:11<00:20,  2.21it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2956/3000:  98%|█████████▊| 2955/3000 [22:11<00:20,  2.21it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2956/3000:  99%|█████████▊| 2956/3000 [22:11<00:20,  2.17it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2956/3000:  99%|█████████▊| 2956/3000 [22:11<00:20,  2.17it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2957/3000:  99%|█████████▊| 2956/3000 [22:11<00:20,  2.17it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2957/3000:  99%|█████████▊| 2957/3000 [22:11<00:17,  2.50it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2957/3000:  99%|█████████▊| 2957/3000 [22:11<00:17,  2.50it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2958/3000:  99%|█████████▊| 2957/3000 [22:11<00:17,  2.50it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2958/3000:  99%|█████████▊| 2958/3000 [22:12<00:18,  2.31it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2958/3000:  99%|█████████▊| 2958/3000 [22:12<00:18,  2.31it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2959/3000:  99%|█████████▊| 2958/3000 [22:12<00:18,  2.31it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2959/3000:  99%|█████████▊| 2959/3000 [22:12<00:19,  2.08it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2959/3000:  99%|█████████▊| 2959/3000 [22:13<00:19,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2960/3000:  99%|█████████▊| 2959/3000 [22:13<00:19,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2960/3000:  99%|█████████▊| 2960/3000 [22:13<00:17,  2.27it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2960/3000:  99%|█████████▊| 2960/3000 [22:13<00:17,  2.27it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2961/3000:  99%|█████████▊| 2960/3000 [22:13<00:17,  2.27it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2961/3000:  99%|█████████▊| 2961/3000 [22:13<00:16,  2.36it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2961/3000:  99%|█████████▊| 2961/3000 [22:13<00:16,  2.36it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2962/3000:  99%|█████████▊| 2961/3000 [22:13<00:16,  2.36it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2962/3000:  99%|█████████▊| 2962/3000 [22:14<00:16,  2.37it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2962/3000:  99%|█████████▊| 2962/3000 [22:14<00:16,  2.37it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2963/3000:  99%|█████████▊| 2962/3000 [22:14<00:16,  2.37it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2963/3000:  99%|█████████▉| 2963/3000 [22:14<00:15,  2.40it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2963/3000:  99%|█████████▉| 2963/3000 [22:14<00:15,  2.40it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2964/3000:  99%|█████████▉| 2963/3000 [22:14<00:15,  2.40it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2964/3000:  99%|█████████▉| 2964/3000 [22:15<00:18,  2.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2964/3000:  99%|█████████▉| 2964/3000 [22:15<00:18,  2.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2965/3000:  99%|█████████▉| 2964/3000 [22:15<00:18,  2.00it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2965/3000:  99%|█████████▉| 2965/3000 [22:15<00:18,  1.85it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2965/3000:  99%|█████████▉| 2965/3000 [22:15<00:18,  1.85it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2966/3000:  99%|█████████▉| 2965/3000 [22:15<00:18,  1.85it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2966/3000:  99%|█████████▉| 2966/3000 [22:16<00:17,  1.98it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2966/3000:  99%|█████████▉| 2966/3000 [22:16<00:17,  1.98it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2967/3000:  99%|█████████▉| 2966/3000 [22:16<00:17,  1.98it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2967/3000:  99%|█████████▉| 2967/3000 [22:16<00:14,  2.22it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2967/3000:  99%|█████████▉| 2967/3000 [22:16<00:14,  2.22it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2968/3000:  99%|█████████▉| 2967/3000 [22:16<00:14,  2.22it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2968/3000:  99%|█████████▉| 2968/3000 [22:17<00:15,  2.03it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2968/3000:  99%|█████████▉| 2968/3000 [22:17<00:15,  2.03it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2969/3000:  99%|█████████▉| 2968/3000 [22:17<00:15,  2.03it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2969/3000:  99%|█████████▉| 2969/3000 [22:17<00:15,  1.97it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2969/3000:  99%|█████████▉| 2969/3000 [22:17<00:15,  1.97it/s, v_num=1, train_loss_step=9.95e+5, train_loss_epoch=1.02e+6]Epoch 2970/3000:  99%|█████████▉| 2969/3000 [22:17<00:15,  1.97it/s, v_num=1, train_loss_step=9.95e+5, train_loss_epoch=1.02e+6]Epoch 2970/3000:  99%|█████████▉| 2970/3000 [22:18<00:16,  1.86it/s, v_num=1, train_loss_step=9.95e+5, train_loss_epoch=1.02e+6]Epoch 2970/3000:  99%|█████████▉| 2970/3000 [22:18<00:16,  1.86it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2971/3000:  99%|█████████▉| 2970/3000 [22:18<00:16,  1.86it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2971/3000:  99%|█████████▉| 2971/3000 [22:18<00:14,  2.02it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2971/3000:  99%|█████████▉| 2971/3000 [22:18<00:14,  2.02it/s, v_num=1, train_loss_step=9.93e+5, train_loss_epoch=1.02e+6]Epoch 2972/3000:  99%|█████████▉| 2971/3000 [22:18<00:14,  2.02it/s, v_num=1, train_loss_step=9.93e+5, train_loss_epoch=1.02e+6]Epoch 2972/3000:  99%|█████████▉| 2972/3000 [22:19<00:14,  1.93it/s, v_num=1, train_loss_step=9.93e+5, train_loss_epoch=1.02e+6]Epoch 2972/3000:  99%|█████████▉| 2972/3000 [22:19<00:14,  1.93it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2973/3000:  99%|█████████▉| 2972/3000 [22:19<00:14,  1.93it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2973/3000:  99%|█████████▉| 2973/3000 [22:19<00:13,  2.04it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2973/3000:  99%|█████████▉| 2973/3000 [22:19<00:13,  2.04it/s, v_num=1, train_loss_step=9.95e+5, train_loss_epoch=1.02e+6]Epoch 2974/3000:  99%|█████████▉| 2973/3000 [22:19<00:13,  2.04it/s, v_num=1, train_loss_step=9.95e+5, train_loss_epoch=1.02e+6]Epoch 2974/3000:  99%|█████████▉| 2974/3000 [22:20<00:12,  2.06it/s, v_num=1, train_loss_step=9.95e+5, train_loss_epoch=1.02e+6]Epoch 2974/3000:  99%|█████████▉| 2974/3000 [22:20<00:12,  2.06it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2975/3000:  99%|█████████▉| 2974/3000 [22:20<00:12,  2.06it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2975/3000:  99%|█████████▉| 2975/3000 [22:20<00:13,  1.91it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2975/3000:  99%|█████████▉| 2975/3000 [22:20<00:13,  1.91it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2976/3000:  99%|█████████▉| 2975/3000 [22:20<00:13,  1.91it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2976/3000:  99%|█████████▉| 2976/3000 [22:21<00:11,  2.08it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2976/3000:  99%|█████████▉| 2976/3000 [22:21<00:11,  2.08it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2977/3000:  99%|█████████▉| 2976/3000 [22:21<00:11,  2.08it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2977/3000:  99%|█████████▉| 2977/3000 [22:21<00:11,  2.06it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2977/3000:  99%|█████████▉| 2977/3000 [22:21<00:11,  2.06it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2978/3000:  99%|█████████▉| 2977/3000 [22:21<00:11,  2.06it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2978/3000:  99%|█████████▉| 2978/3000 [22:21<00:09,  2.38it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2978/3000:  99%|█████████▉| 2978/3000 [22:21<00:09,  2.38it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2979/3000:  99%|█████████▉| 2978/3000 [22:22<00:09,  2.38it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2979/3000:  99%|█████████▉| 2979/3000 [22:22<00:09,  2.29it/s, v_num=1, train_loss_step=1.04e+6, train_loss_epoch=1.02e+6]Epoch 2979/3000:  99%|█████████▉| 2979/3000 [22:22<00:09,  2.29it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2980/3000:  99%|█████████▉| 2979/3000 [22:22<00:09,  2.29it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2980/3000:  99%|█████████▉| 2980/3000 [22:23<00:09,  2.04it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2980/3000:  99%|█████████▉| 2980/3000 [22:23<00:09,  2.04it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2981/3000:  99%|█████████▉| 2980/3000 [22:23<00:09,  2.04it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2981/3000:  99%|█████████▉| 2981/3000 [22:23<00:07,  2.38it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2981/3000:  99%|█████████▉| 2981/3000 [22:23<00:07,  2.38it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2982/3000:  99%|█████████▉| 2981/3000 [22:23<00:07,  2.38it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2982/3000:  99%|█████████▉| 2982/3000 [22:23<00:07,  2.31it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2982/3000:  99%|█████████▉| 2982/3000 [22:23<00:07,  2.31it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2983/3000:  99%|█████████▉| 2982/3000 [22:23<00:07,  2.31it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2983/3000:  99%|█████████▉| 2983/3000 [22:24<00:07,  2.30it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2983/3000:  99%|█████████▉| 2983/3000 [22:24<00:07,  2.30it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.02e+6]   Epoch 2984/3000:  99%|█████████▉| 2983/3000 [22:24<00:07,  2.30it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.02e+6]Epoch 2984/3000:  99%|█████████▉| 2984/3000 [22:24<00:07,  2.04it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.02e+6]Epoch 2984/3000:  99%|█████████▉| 2984/3000 [22:24<00:07,  2.04it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2985/3000:  99%|█████████▉| 2984/3000 [22:24<00:07,  2.04it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2985/3000: 100%|█████████▉| 2985/3000 [22:25<00:07,  2.01it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2985/3000: 100%|█████████▉| 2985/3000 [22:25<00:07,  2.01it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2986/3000: 100%|█████████▉| 2985/3000 [22:25<00:07,  2.01it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2986/3000: 100%|█████████▉| 2986/3000 [22:25<00:07,  1.96it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2986/3000: 100%|█████████▉| 2986/3000 [22:25<00:07,  1.96it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2987/3000: 100%|█████████▉| 2986/3000 [22:25<00:07,  1.96it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2987/3000: 100%|█████████▉| 2987/3000 [22:26<00:06,  1.92it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2987/3000: 100%|█████████▉| 2987/3000 [22:26<00:06,  1.92it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.02e+6]Epoch 2988/3000: 100%|█████████▉| 2987/3000 [22:26<00:06,  1.92it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.02e+6]Epoch 2988/3000: 100%|█████████▉| 2988/3000 [22:27<00:06,  1.89it/s, v_num=1, train_loss_step=1.06e+6, train_loss_epoch=1.02e+6]Epoch 2988/3000: 100%|█████████▉| 2988/3000 [22:27<00:06,  1.89it/s, v_num=1, train_loss_step=9.99e+5, train_loss_epoch=1.02e+6]Epoch 2989/3000: 100%|█████████▉| 2988/3000 [22:27<00:06,  1.89it/s, v_num=1, train_loss_step=9.99e+5, train_loss_epoch=1.02e+6]Epoch 2989/3000: 100%|█████████▉| 2989/3000 [22:27<00:05,  2.09it/s, v_num=1, train_loss_step=9.99e+5, train_loss_epoch=1.02e+6]Epoch 2989/3000: 100%|█████████▉| 2989/3000 [22:27<00:05,  2.09it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2990/3000: 100%|█████████▉| 2989/3000 [22:27<00:05,  2.09it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2990/3000: 100%|█████████▉| 2990/3000 [22:27<00:04,  2.13it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2990/3000: 100%|█████████▉| 2990/3000 [22:27<00:04,  2.13it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2991/3000: 100%|█████████▉| 2990/3000 [22:27<00:04,  2.13it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2991/3000: 100%|█████████▉| 2991/3000 [22:28<00:04,  1.97it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2991/3000: 100%|█████████▉| 2991/3000 [22:28<00:04,  1.97it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2992/3000: 100%|█████████▉| 2991/3000 [22:28<00:04,  1.97it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2992/3000: 100%|█████████▉| 2992/3000 [22:28<00:04,  1.91it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2992/3000: 100%|█████████▉| 2992/3000 [22:28<00:04,  1.91it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2993/3000: 100%|█████████▉| 2992/3000 [22:28<00:04,  1.91it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2993/3000: 100%|█████████▉| 2993/3000 [22:29<00:03,  1.99it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 2993/3000: 100%|█████████▉| 2993/3000 [22:29<00:03,  1.99it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2994/3000: 100%|█████████▉| 2993/3000 [22:29<00:03,  1.99it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2994/3000: 100%|█████████▉| 2994/3000 [22:29<00:02,  2.17it/s, v_num=1, train_loss_step=1.02e+6, train_loss_epoch=1.02e+6]Epoch 2994/3000: 100%|█████████▉| 2994/3000 [22:29<00:02,  2.17it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2995/3000: 100%|█████████▉| 2994/3000 [22:29<00:02,  2.17it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2995/3000: 100%|█████████▉| 2995/3000 [22:30<00:02,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2995/3000: 100%|█████████▉| 2995/3000 [22:30<00:02,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2996/3000: 100%|█████████▉| 2995/3000 [22:30<00:02,  2.08it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2996/3000: 100%|█████████▉| 2996/3000 [22:30<00:01,  2.23it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2996/3000: 100%|█████████▉| 2996/3000 [22:30<00:01,  2.23it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2997/3000: 100%|█████████▉| 2996/3000 [22:30<00:01,  2.23it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2997/3000: 100%|█████████▉| 2997/3000 [22:31<00:01,  2.14it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2997/3000: 100%|█████████▉| 2997/3000 [22:31<00:01,  2.14it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.02e+6]   Epoch 2998/3000: 100%|█████████▉| 2997/3000 [22:31<00:01,  2.14it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.02e+6]Epoch 2998/3000: 100%|█████████▉| 2998/3000 [22:31<00:00,  2.13it/s, v_num=1, train_loss_step=1e+6, train_loss_epoch=1.02e+6]Epoch 2998/3000: 100%|█████████▉| 2998/3000 [22:31<00:00,  2.13it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2999/3000: 100%|█████████▉| 2998/3000 [22:31<00:00,  2.13it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2999/3000: 100%|█████████▉| 2999/3000 [22:32<00:00,  1.98it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 2999/3000: 100%|█████████▉| 2999/3000 [22:32<00:00,  1.98it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 3000/3000: 100%|█████████▉| 2999/3000 [22:32<00:00,  1.98it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 3000/3000: 100%|██████████| 3000/3000 [22:32<00:00,  2.22it/s, v_num=1, train_loss_step=1.01e+6, train_loss_epoch=1.02e+6]Epoch 3000/3000: 100%|██████████| 3000/3000 [22:32<00:00,  2.22it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]Epoch 3000/3000: 100%|██████████| 3000/3000 [22:32<00:00,  2.22it/s, v_num=1, train_loss_step=1.03e+6, train_loss_epoch=1.02e+6]

Get the results from the model, also put them in the .obs slot.

st_adata.obsm["deconvolution"] = spatial_model.get_proportions()

# also copy to the obsm data frame
for ct in st_adata.obsm["deconvolution"].columns:
    st_adata.obs[ct] = st_adata.obsm["deconvolution"][ct]

We are then able to explore how cell types in the scRNA-seq dataset are predicted onto the visium dataset. Let’s first visualize the neurons cortical layers.

sc.pl.spatial(
    st_adata,
    img_key="hires",
    color=["L2/3 IT", "L4", "L5 PT", "L6 CT"],
    library_id=lib_a,
    size=1.5,
    ncols=2
)

We can go ahead an visualize astrocytes and oligodendrocytes as well.

sc.pl.spatial(
    st_adata, img_key="hires", color=["Oligo", "Astro"], size=1.5, library_id=lib_a
)

Keep in mind that the deconvolution results are just predictions, depending on how well your scRNAseq data covers the celltypes that are present in the ST data and on how parameters, gene selection etc. are tuned you may get different results.

sc.pl.violin(st_adata, ["L2/3 IT", "L6 CT","Oligo","Astro"],
            jitter=0.4, groupby = 'clusters', rotation= 45)

Discuss

Subset for another region that does not contain cortex cells and check what you get from the label transfer. Suggested region is the right end of the posterial section that you can select like this:

lib_p = "V1_Mouse_Brain_Sagittal_Posterior"

adata_subregion = adata[
    (adata.obs.library_id == lib_p)
    & (adata.obsm["spatial"][:, 0] > 6500),
    :,
].copy()

sc.pl.spatial(
    adata_subregion,
    img_key="hires",
    library_id=lib_p,
    color=['n_genes_by_counts'],
    size=1.5
)

7 Session info

Click here

sc.logging.print_versions()

-----
anndata     0.10.3
scanpy      1.9.6
-----
PIL                 10.0.0
absl                NA
annotated_types     0.6.0
annoy               NA
anyio               NA
asttokens           NA
attr                23.1.0
babel               2.12.1
backcall            0.2.0
backoff             2.2.1
bs4                 4.12.2
certifi             2023.11.17
cffi                1.15.1
charset_normalizer  3.1.0
chex                0.1.83
click               8.1.7
colorama            0.4.6
comm                0.1.3
contextlib2         NA
croniter            NA
cycler              0.12.1
cython_runtime      NA
dateutil            2.8.2
debugpy             1.6.7
decorator           5.1.1
deepdiff            6.7.1
defusedxml          0.7.1
docrep              0.3.2
exceptiongroup      1.2.0
executing           1.2.0
fastapi             0.103.0
fastjsonschema      NA
fbpca               NA
flax                0.6.1
fsspec              2023.12.2
gmpy2               2.1.2
h5py                3.9.0
idna                3.4
igraph              0.10.8
intervaltree        NA
ipykernel           6.23.1
ipython_genutils    0.2.0
jax                 0.4.13
jaxlib              0.4.12
jedi                0.18.2
jinja2              3.1.2
joblib              1.3.2
json5               NA
jsonpointer         2.0
jsonschema          4.17.3
jupyter_events      0.6.3
jupyter_server      2.6.0
jupyterlab_server   2.22.1
kiwisolver          1.4.5
leidenalg           0.10.1
lightning           2.0.9.post0
lightning_cloud     0.5.57
lightning_utilities 0.10.0
llvmlite            0.41.1
louvain             0.8.1
markupsafe          2.1.2
matplotlib          3.8.0
matplotlib_inline   0.1.6
ml_collections      NA
ml_dtypes           0.3.1
mpl_toolkits        NA
mpmath              1.3.0
msgpack             1.0.7
mudata              0.2.3
multipart           0.0.6
multipledispatch    0.6.0
natsort             8.4.0
nbformat            5.8.0
numba               0.58.1
numpy               1.26.2
numpyro             0.13.2
opt_einsum          v3.3.0
optax               0.1.7
ordered_set         4.1.0
orjson              3.9.10
overrides           NA
packaging           23.1
pandas              2.1.4
parso               0.8.3
patsy               0.5.5
pexpect             4.8.0
pickleshare         0.7.5
pkg_resources       NA
platformdirs        3.5.1
prometheus_client   NA
prompt_toolkit      3.0.38
psutil              5.9.5
ptyprocess          0.7.0
pure_eval           0.2.2
pvectorc            NA
pycparser           2.21
pydantic            2.1.1
pydantic_core       2.4.0
pydev_ipython       NA
pydevconsole        NA
pydevd              2.9.5
pydevd_file_utils   NA
pydevd_plugins      NA
pydevd_tracing      NA
pygments            2.15.1
pynndescent         0.5.11
pyparsing           3.1.1
pyro                1.8.6+4be5c2e
pyrsistent          NA
pythonjsonlogger    NA
pytz                2023.3
requests            2.31.0
rfc3339_validator   0.1.4
rfc3986_validator   0.1.1
rich                NA
scanorama           1.7.4
scipy               1.11.4
scvi                1.0.4
seaborn             0.12.2
send2trash          NA
session_info        1.0.0
six                 1.16.0
sklearn             1.3.2
sniffio             1.3.0
socks               1.7.1
sortedcontainers    2.4.0
soupsieve           2.3.2.post1
sparse              0.14.0
stack_data          0.6.2
starlette           0.27.0
statsmodels         0.14.1
sympy               1.12
texttable           1.7.0
threadpoolctl       3.2.0
tomli               2.0.1
toolz               0.12.0
torch               2.0.0
torchmetrics        1.2.1
tornado             6.3.2
tqdm                4.65.0
traitlets           5.9.0
typing_extensions   NA
umap                0.5.5
urllib3             2.0.2
uvicorn             0.25.0
wcwidth             0.2.6
websocket           1.5.2
websockets          12.0
xarray              2023.12.0
yaml                6.0
zmq                 25.0.2
zoneinfo            NA
zstandard           0.19.0
-----
IPython             8.13.2
jupyter_client      8.2.0
jupyter_core        5.3.0
jupyterlab          4.0.1
notebook            6.5.4
-----
Python 3.10.11 | packaged by conda-forge | (main, May 10 2023, 18:58:44) [GCC 11.3.0]
Linux-5.15.0-92-generic-x86_64-with-glibc2.35
-----
Session information updated at 2024-02-06 01:15