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02/06/2022 16:31:57 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True
02/06/2022 16:31:57 - INFO - __main__ - Training/evaluation parameters TrainingArguments(
_n_gpu=1,
adafactor=False,
adam_beta1=0.9,
adam_beta2=0.999,
adam_epsilon=1e-08,
bf16=False,
bf16_full_eval=False,
dataloader_drop_last=False,
dataloader_num_workers=0,
dataloader_pin_memory=True,
ddp_bucket_cap_mb=None,
ddp_find_unused_parameters=None,
debug=[],
deepspeed=None,
disable_tqdm=False,
do_eval=True,
do_predict=False,
do_train=True,
eval_accumulation_steps=None,
eval_steps=500,
evaluation_strategy=IntervalStrategy.STEPS,
fp16=True,
fp16_backend=auto,
fp16_full_eval=False,
fp16_opt_level=O1,
gradient_accumulation_steps=4,
gradient_checkpointing=True,
greater_is_better=None,
group_by_length=True,
half_precision_backend=auto,
hub_model_id=None,
hub_strategy=HubStrategy.EVERY_SAVE,
hub_token=<HUB_TOKEN>,
ignore_data_skip=False,
label_names=None,
label_smoothing_factor=0.0,
learning_rate=0.0001,
length_column_name=input_length,
load_best_model_at_end=False,
local_rank=-1,
log_level=-1,
log_level_replica=-1,
log_on_each_node=True,
logging_dir=./runs/Feb06_16-31-57_job-cb7cc850-8327-4ab0-bdf4-0ebe63e2788c,
logging_first_step=False,
logging_nan_inf_filter=True,
logging_steps=100,
logging_strategy=IntervalStrategy.STEPS,
lr_scheduler_type=SchedulerType.LINEAR,
max_grad_norm=1.0,
max_steps=-1,
metric_for_best_model=None,
mp_parameters=,
no_cuda=False,
num_train_epochs=100.0,
optim=OptimizerNames.ADAMW_HF,
output_dir=./,
overwrite_output_dir=True,
past_index=-1,
per_device_eval_batch_size=8,
per_device_train_batch_size=8,
prediction_loss_only=False,
push_to_hub=True,
push_to_hub_model_id=None,
push_to_hub_organization=None,
push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
remove_unused_columns=True,
report_to=['tensorboard'],
resume_from_checkpoint=None,
run_name=./,
save_on_each_node=False,
save_steps=500,
save_strategy=IntervalStrategy.STEPS,
save_total_limit=3,
seed=42,
sharded_ddp=[],
skip_memory_metrics=True,
tf32=None,
tpu_metrics_debug=False,
tpu_num_cores=None,
use_legacy_prediction_loop=False,
warmup_ratio=0.0,
warmup_steps=2000,
weight_decay=0.0,
xpu_backend=None,
)
02/06/2022 16:31:57 - WARNING - datasets.builder - Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/common_voice/zh-HK/6.1.0/5693bfc0feeade582a78c2fb250bc88f52bd86f0a7f1bb22bfee67e715de30fd)
02/06/2022 16:31:58 - WARNING - datasets.builder - Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/common_voice/zh-HK/6.1.0/5693bfc0feeade582a78c2fb250bc88f52bd86f0a7f1bb22bfee67e715de30fd)
02/06/2022 16:31:58 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /workspace/.cache/huggingface/datasets/common_voice/zh-HK/6.1.0/5693bfc0feeade582a78c2fb250bc88f52bd86f0a7f1bb22bfee67e715de30fd/cache-4b9c7ee298793a4a.arrow
02/06/2022 16:31:58 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /workspace/.cache/huggingface/datasets/common_voice/zh-HK/6.1.0/5693bfc0feeade582a78c2fb250bc88f52bd86f0a7f1bb22bfee67e715de30fd/cache-229158ba70a553cf.arrow
loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/dabc27df63e37bd2a7a221c7774e35f36a280fbdf917cf54cadfc7df8c786f6f.a3e4c3c967d9985881e0ae550a5f6f668f897db5ab2e0802f9b97973b15970e6
Model config Wav2Vec2Config {
"_name_or_path": "facebook/wav2vec2-xls-r-300m",
"activation_dropout": 0.0,
"adapter_kernel_size": 3,
"adapter_stride": 2,
"add_adapter": false,
"apply_spec_augment": true,
"architectures": [
"Wav2Vec2ForPreTraining"
],
"attention_dropout": 0.1,
"bos_token_id": 1,
"classifier_proj_size": 256,
"codevector_dim": 768,
"contrastive_logits_temperature": 0.1,
"conv_bias": true,
"conv_dim": [
512,
512,
512,
512,
512,
512,
512
],
"conv_kernel": [
10,
3,
3,
3,
3,
2,
2
],
"conv_stride": [
5,
2,
2,
2,
2,
2,
2
],
"ctc_loss_reduction": "sum",
"ctc_zero_infinity": false,
"diversity_loss_weight": 0.1,
"do_stable_layer_norm": true,
"eos_token_id": 2,
"feat_extract_activation": "gelu",
"feat_extract_dropout": 0.0,
"feat_extract_norm": "layer",
"feat_proj_dropout": 0.1,
"feat_quantizer_dropout": 0.0,
"final_dropout": 0.0,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout": 0.1,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_norm_eps": 1e-05,
"layerdrop": 0.1,
"mask_feature_length": 10,
"mask_feature_min_masks": 0,
"mask_feature_prob": 0.0,
"mask_time_length": 10,
"mask_time_min_masks": 2,
"mask_time_prob": 0.075,
"model_type": "wav2vec2",
"num_adapter_layers": 3,
"num_attention_heads": 16,
"num_codevector_groups": 2,
"num_codevectors_per_group": 320,
"num_conv_pos_embedding_groups": 16,
"num_conv_pos_embeddings": 128,
"num_feat_extract_layers": 7,
"num_hidden_layers": 24,
"num_negatives": 100,
"output_hidden_size": 1024,
"pad_token_id": 0,
"proj_codevector_dim": 768,
"tdnn_dilation": [
1,
2,
3,
1,
1
],
"tdnn_dim": [
512,
512,
512,
512,
1500
],
"tdnn_kernel": [
5,
3,
3,
1,
1
],
"torch_dtype": "float32",
"transformers_version": "4.17.0.dev0",
"use_weighted_layer_sum": false,
"vocab_size": 32,
"xvector_output_dim": 512
}
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Didn't find file ./tokenizer_config.json. We won't load it.
Didn't find file ./added_tokens.json. We won't load it.
Didn't find file ./special_tokens_map.json. We won't load it.
Didn't find file ./tokenizer.json. We won't load it.
loading file ./vocab.json
loading file None
loading file None
loading file None
loading file None
file ./config.json not found
Adding <s> to the vocabulary
Adding </s> to the vocabulary
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/dabc27df63e37bd2a7a221c7774e35f36a280fbdf917cf54cadfc7df8c786f6f.a3e4c3c967d9985881e0ae550a5f6f668f897db5ab2e0802f9b97973b15970e6
Model config Wav2Vec2Config {
"_name_or_path": "facebook/wav2vec2-xls-r-300m",
"activation_dropout": 0.0,
"adapter_kernel_size": 3,
"adapter_stride": 2,
"add_adapter": false,
"apply_spec_augment": true,
"architectures": [
"Wav2Vec2ForPreTraining"
],
"attention_dropout": 0.1,
"bos_token_id": 1,
"classifier_proj_size": 256,
"codevector_dim": 768,
"contrastive_logits_temperature": 0.1,
"conv_bias": true,
"conv_dim": [
512,
512,
512,
512,
512,
512,
512
],
"conv_kernel": [
10,
3,
3,
3,
3,
2,
2
],
"conv_stride": [
5,
2,
2,
2,
2,
2,
2
],
"ctc_loss_reduction": "sum",
"ctc_zero_infinity": false,
"diversity_loss_weight": 0.1,
"do_stable_layer_norm": true,
"eos_token_id": 2,
"feat_extract_activation": "gelu",
"feat_extract_dropout": 0.0,
"feat_extract_norm": "layer",
"feat_proj_dropout": 0.1,
"feat_quantizer_dropout": 0.0,
"final_dropout": 0.0,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout": 0.1,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_norm_eps": 1e-05,
"layerdrop": 0.1,
"mask_feature_length": 10,
"mask_feature_min_masks": 0,
"mask_feature_prob": 0.0,
"mask_time_length": 10,
"mask_time_min_masks": 2,
"mask_time_prob": 0.075,
"model_type": "wav2vec2",
"num_adapter_layers": 3,
"num_attention_heads": 16,
"num_codevector_groups": 2,
"num_codevectors_per_group": 320,
"num_conv_pos_embedding_groups": 16,
"num_conv_pos_embeddings": 128,
"num_feat_extract_layers": 7,
"num_hidden_layers": 24,
"num_negatives": 100,
"output_hidden_size": 1024,
"pad_token_id": 0,
"proj_codevector_dim": 768,
"tdnn_dilation": [
1,
2,
3,
1,
1
],
"tdnn_dim": [
512,
512,
512,
512,
1500
],
"tdnn_kernel": [
5,
3,
3,
1,
1
],
"torch_dtype": "float32",
"transformers_version": "4.17.0.dev0",
"use_weighted_layer_sum": false,
"vocab_size": 32,
"xvector_output_dim": 512
}
loading feature extractor configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/preprocessor_config.json from cache at /workspace/.cache/huggingface/transformers/6fb028b95b394059e7d3b367bbca2382b576c66aebe896f04d2cd34e1b575f5b.d4484dc1c81456a2461485e7168b04347a7b9a4e3b1ef3aba723323b33e12326
Feature extractor Wav2Vec2FeatureExtractor {
"do_normalize": true,
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"feature_size": 1,
"padding_side": "right",
"padding_value": 0,
"return_attention_mask": true,
"sampling_rate": 16000
}
loading weights file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/pytorch_model.bin from cache at /workspace/.cache/huggingface/transformers/1e6a6507f3b689035cd4b247e2a37c154e27f39143f31357a49b4e38baeccc36.1edb32803799e27ed554eb7dd935f6745b1a0b17b0ea256442fe24db6eb546cd
Some weights of the model checkpoint at facebook/wav2vec2-xls-r-300m were not used when initializing Wav2Vec2ForCTC: ['project_hid.bias', 'quantizer.codevectors', 'quantizer.weight_proj.weight', 'project_q.weight', 'project_hid.weight', 'project_q.bias', 'quantizer.weight_proj.bias']
- This IS expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-xls-r-300m and are newly initialized: ['lm_head.weight', 'lm_head.bias']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
02/06/2022 16:32:04 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /workspace/.cache/huggingface/datasets/common_voice/zh-HK/6.1.0/5693bfc0feeade582a78c2fb250bc88f52bd86f0a7f1bb22bfee67e715de30fd/cache-34b3c26b7a1907b4.arrow
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preprocess datasets: 100%|ββββββββββ| 3000/3000 [00:33<00:00, 88.40ex/s] 02/06/2022 16:32:38 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /workspace/.cache/huggingface/datasets/common_voice/zh-HK/6.1.0/5693bfc0feeade582a78c2fb250bc88f52bd86f0a7f1bb22bfee67e715de30fd/cache-a6fe39915c31c2e3.arrow
0%| | 0/3 [00:00<?, ?ba/s]
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Configuration saved in ./preprocessor_config.json
tokenizer config file saved in ./tokenizer_config.json
Special tokens file saved in ./special_tokens_map.json
added tokens file saved in ./added_tokens.json
Configuration saved in ./config.json
loading feature extractor configuration file ./preprocessor_config.json
loading configuration file ./config.json
Model config Wav2Vec2Config {
"_name_or_path": "./",
"activation_dropout": 0.1,
"adapter_kernel_size": 3,
"adapter_stride": 2,
"add_adapter": false,
"apply_spec_augment": true,
"architectures": [
"Wav2Vec2ForPreTraining"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"classifier_proj_size": 256,
"codevector_dim": 768,
"contrastive_logits_temperature": 0.1,
"conv_bias": true,
"conv_dim": [
512,
512,
512,
512,
512,
512,
512
],
"conv_kernel": [
10,
3,
3,
3,
3,
2,
2
],
"conv_stride": [
5,
2,
2,
2,
2,
2,
2
],
"ctc_loss_reduction": "mean",
"ctc_zero_infinity": false,
"diversity_loss_weight": 0.1,
"do_stable_layer_norm": true,
"eos_token_id": 2,
"feat_extract_activation": "gelu",
"feat_extract_dropout": 0.0,
"feat_extract_norm": "layer",
"feat_proj_dropout": 0.0,
"feat_quantizer_dropout": 0.0,
"final_dropout": 0.0,
"hidden_act": "gelu",
"hidden_dropout": 0.0,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_norm_eps": 1e-05,
"layerdrop": 0.0,
"mask_feature_length": 64,
"mask_feature_min_masks": 0,
"mask_feature_prob": 0.25,
"mask_time_length": 10,
"mask_time_min_masks": 2,
"mask_time_prob": 0.75,
"model_type": "wav2vec2",
"num_adapter_layers": 3,
"num_attention_heads": 16,
"num_codevector_groups": 2,
"num_codevectors_per_group": 320,
"num_conv_pos_embedding_groups": 16,
"num_conv_pos_embeddings": 128,
"num_feat_extract_layers": 7,
"num_hidden_layers": 24,
"num_negatives": 100,
"output_hidden_size": 1024,
"pad_token_id": 3652,
"proj_codevector_dim": 768,
"tdnn_dilation": [
1,
2,
3,
1,
1
],
"tdnn_dim": [
512,
512,
512,
512,
1500
],
"tdnn_kernel": [
5,
3,
3,
1,
1
],
"torch_dtype": "float32",
"transformers_version": "4.17.0.dev0",
"use_weighted_layer_sum": false,
"vocab_size": 3655,
"xvector_output_dim": 512
}
loading feature extractor configuration file ./preprocessor_config.json
Feature extractor Wav2Vec2FeatureExtractor {
"do_normalize": true,
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"feature_size": 1,
"padding_side": "right",
"padding_value": 0,
"return_attention_mask": true,
"sampling_rate": 16000
}
Didn't find file ./tokenizer.json. We won't load it.
loading file ./vocab.json
loading file ./tokenizer_config.json
loading file ./added_tokens.json
loading file ./special_tokens_map.json
loading file None
Adding <s> to the vocabulary
Adding </s> to the vocabulary
/workspace/wav2vec2-xls-r-300m-zh-HK-v2/./ is already a clone of https://huggingface.co/w11wo/wav2vec2-xls-r-300m-zh-HK-v2. Make sure you pull the latest changes with `repo.git_pull()`.
02/06/2022 16:32:48 - WARNING - huggingface_hub.repository - /workspace/wav2vec2-xls-r-300m-zh-HK-v2/./ is already a clone of https://huggingface.co/w11wo/wav2vec2-xls-r-300m-zh-HK-v2. Make sure you pull the latest changes with `repo.git_pull()`.
Using amp half precision backend
The following columns in the training set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
/opt/conda/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use thePyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning
warnings.warn(
***** Running training *****
Num examples = 11949
Num Epochs = 100
Instantaneous batch size per device = 8
Total train batch size (w. parallel, distributed & accumulation) = 32
Gradient Accumulation steps = 4
Total optimization steps = 37300
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1%|β | 500/37300 [13:02<14:56:05, 1.46s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
***** Running Evaluation *****
Num examples = 2302
Batch size = 8
{'loss': 153.5094, 'learning_rate': 4.85e-06, 'epoch': 0.27}
{'loss': 108.8648, 'learning_rate': 9.85e-06, 'epoch': 0.54}
{'loss': 92.5714, 'learning_rate': 1.48e-05, 'epoch': 0.8}
{'loss': 79.9356, 'learning_rate': 1.9800000000000004e-05, 'epoch': 1.07}
{'loss': 69.8341, 'learning_rate': 2.48e-05, 'epoch': 1.34}
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16%|ββ | 46/288 [00:13<01:16, 3.16it/s][A
16%|ββ | 47/288 [00:14<01:20, 3.01it/s][A
17%|ββ | 48/288 [00:14<01:24, 2.85it/s][A
17%|ββ | 49/288 [00:14<01:20, 2.96it/s][A
17%|ββ | 50/288 [00:15<01:18, 3.05it/s][A
18%|ββ | 51/288 [00:15<01:16, 3.08it/s][A
18%|ββ | 52/288 [00:15<01:19, 2.95it/s][A
18%|ββ | 53/288 [00:16<01:21, 2.88it/s][A
19%|ββ | 54/288 [00:16<01:19, 2.95it/s][A
19%|ββ | 55/288 [00:16<01:22, 2.84it/s][A
19%|ββ | 56/288 [00:17<01:19, 2.91it/s][A
20%|ββ | 57/288 [00:17<01:15, 3.08it/s][A
20%|ββ | 58/288 [00:17<01:10, 3.24it/s][A
20%|ββ | 59/288 [00:18<01:07, 3.37it/s][A
21%|ββ | 60/288 [00:18<01:04, 3.56it/s][A
21%|ββ | 61/288 [00:18<01:08, 3.33it/s][A
22%|βββ | 62/288 [00:18<01:08, 3.28it/s][A
22%|βββ | 63/288 [00:19<01:09, 3.23it/s][A
22%|βββ | 64/288 [00:19<01:07, 3.32it/s][A
23%|βββ | 65/288 [00:19<01:10, 3.17it/s][A
23%|βββ | 66/288 [00:20<01:11, 3.10it/s][A
23%|βββ | 67/288 [00:20<01:09, 3.16it/s][A
24%|βββ | 68/288 [00:20<01:11, 3.09it/s][A
24%|βββ | 69/288 [00:21<01:12, 3.04it/s][A
24%|βββ | 70/288 [00:21<01:10, 3.07it/s][A
25%|βββ | 71/288 [00:21<01:13, 2.95it/s][A
25%|βββ | 72/288 [00:22<01:16, 2.84it/s][A
25%|βββ | 73/288 [00:22<01:14, 2.89it/s][A
26%|βββ | 74/288 [00:22<01:14, 2.88it/s][A
26%|βββ | 75/288 [00:23<01:14, 2.87it/s][A
26%|βββ | 76/288 [00:23<01:10, 2.99it/s][A
27%|βββ | 77/288 [00:23<01:10, 2.98it/s][A
27%|βββ | 78/288 [00:24<01:09, 3.04it/s][A
27%|βββ | 79/288 [00:24<01:07, 3.11it/s][A
28%|βββ | 80/288 [00:24<01:05, 3.20it/s][A
28%|βββ | 81/288 [00:25<01:07, 3.06it/s][A
28%|βββ | 82/288 [00:25<01:05, 3.13it/s][A
29%|βββ | 83/288 [00:25<01:05, 3.13it/s][A
29%|βββ | 84/288 [00:26<01:00, 3.39it/s][A
30%|βββ | 85/288 [00:26<00:58, 3.44it/s][A
30%|βββ | 86/288 [00:26<01:02, 3.24it/s][A
30%|βββ | 87/288 [00:27<01:07, 2.99it/s][A
31%|βββ | 88/288 [00:27<01:06, 2.99it/s][A
31%|βββ | 89/288 [00:27<01:04, 3.09it/s][A
31%|ββββ | 90/288 [00:28<01:02, 3.17it/s][A
32%|ββββ | 91/288 [00:28<01:03, 3.12it/s][A
32%|ββββ | 92/288 [00:28<01:02, 3.15it/s][A
32%|ββββ | 93/288 [00:29<01:03, 3.06it/s][A
33%|ββββ | 94/288 [00:29<01:02, 3.09it/s][A
33%|ββββ | 95/288 [00:29<01:02, 3.08it/s][A
33%|ββββ | 96/288 [00:29<00:58, 3.26it/s][A
34%|ββββ | 97/288 [00:30<00:56, 3.36it/s][A
34%|ββββ | 98/288 [00:30<00:58, 3.24it/s][A
34%|ββββ | 99/288 [00:30<01:00, 3.11it/s][A
35%|ββββ | 100/288 [00:31<01:05, 2.87it/s][A
35%|ββββ | 101/288 [00:31<01:03, 2.97it/s][A
35%|ββββ | 102/288 [00:31<00:59, 3.11it/s][A
36%|ββββ | 103/288 [00:32<00:58, 3.17it/s][A
36%|ββββ | 104/288 [00:32<00:58, 3.13it/s][A
36%|ββββ | 105/288 [00:32<00:55, 3.31it/s][A
37%|ββββ | 106/288 [00:33<00:57, 3.16it/s][A
37%|ββββ | 107/288 [00:33<00:57, 3.15it/s][A
38%|ββββ | 108/288 [00:33<00:57, 3.13it/s][A
38%|ββββ | 109/288 [00:34<00:57, 3.11it/s][A
38%|ββββ | 110/288 [00:34<00:56, 3.15it/s][A
39%|ββββ | 111/288 [00:34<01:02, 2.82it/s][A
39%|ββββ | 112/288 [00:35<01:01, 2.85it/s][A
39%|ββββ | 113/288 [00:35<00:59, 2.93it/s][A
40%|ββββ | 114/288 [00:35<00:58, 2.96it/s][A
40%|ββββ | 115/288 [00:36<00:56, 3.06it/s][A
40%|ββββ | 116/288 [00:36<00:56, 3.02it/s][A
41%|ββββ | 117/288 [00:36<00:55, 3.06it/s][A
41%|ββββ | 118/288 [00:37<00:52, 3.23it/s][A
41%|βββββ | 119/288 [00:37<00:53, 3.13it/s][A
42%|βββββ | 120/288 [00:37<01:00, 2.78it/s][A
42%|βββββ | 121/288 [00:38<00:56, 2.94it/s][A
42%|βββββ | 122/288 [00:38<00:51, 3.20it/s][A
43%|βββββ | 123/288 [00:38<00:54, 3.05it/s][A
43%|βββββ | 124/288 [00:39<00:53, 3.07it/s][A
43%|βββββ | 125/288 [00:39<00:52, 3.10it/s][A
44%|βββββ | 126/288 [00:39<00:54, 2.99it/s][A
44%|βββββ | 127/288 [00:40<00:52, 3.07it/s][A
44%|βββββ | 128/288 [00:40<00:51, 3.08it/s][A
45%|βββββ | 129/288 [00:41<01:05, 2.41it/s][A
45%|βββββ | 130/288 [00:41<01:01, 2.56it/s][A
45%|βββββ | 131/288 [00:41<00:57, 2.75it/s][A
46%|βββββ | 132/288 [00:42<00:55, 2.83it/s][A
46%|βββββ | 133/288 [00:42<00:55, 2.78it/s][A
47%|βββββ | 134/288 [00:42<00:55, 2.77it/s][A
47%|βββββ | 135/288 [00:43<00:53, 2.85it/s][A
47%|βββββ | 136/288 [00:43<00:51, 2.93it/s][A
48%|βββββ | 137/288 [00:43<01:01, 2.47it/s][A
48%|βββββ | 138/288 [00:44<00:58, 2.57it/s][A
48%|βββββ | 139/288 [00:44<00:55, 2.66it/s][A
49%|βββββ | 140/288 [00:45<00:53, 2.74it/s][A
49%|βββββ | 141/288 [00:45<00:53, 2.74it/s][A
49%|βββββ | 142/288 [00:45<00:50, 2.87it/s][A
50%|βββββ | 143/288 [00:46<00:50, 2.87it/s][A
50%|βββββ | 144/288 [00:46<00:50, 2.85it/s][A
50%|βββββ | 145/288 [00:46<00:49, 2.88it/s][A
51%|βββββ | 146/288 [00:47<00:47, 3.00it/s][A
51%|βββββ | 147/288 [00:47<00:45, 3.10it/s][A
51%|ββββββ | 148/288 [00:47<00:45, 3.08it/s][A
52%|ββββββ | 149/288 [00:47<00:44, 3.10it/s][A
52%|ββββββ | 150/288 [00:48<00:44, 3.13it/s][A
52%|ββββββ | 151/288 [00:48<00:49, 2.77it/s][A
53%|ββββββ | 152/288 [00:49<00:48, 2.82it/s][A
53%|ββββββ | 153/288 [00:49<00:45, 2.99it/s][A
53%|ββββββ | 154/288 [00:49<00:45, 2.93it/s][A
54%|ββββββ | 155/288 [00:50<00:44, 2.96it/s][A
54%|ββββββ | 156/288 [00:50<00:43, 3.03it/s][A
55%|ββββββ | 157/288 [00:50<00:43, 3.03it/s][A
55%|ββββββ | 158/288 [00:51<00:50, 2.58it/s][A
55%|ββββββ | 159/288 [00:51<00:47, 2.69it/s][A
56%|ββββββ | 160/288 [00:51<00:44, 2.88it/s][A
56%|ββββββ | 161/288 [00:52<00:41, 3.02it/s][A
56%|ββββββ | 162/288 [00:52<00:40, 3.14it/s][A
57%|ββββββ | 163/288 [00:52<00:40, 3.09it/s][A
57%|ββββββ | 164/288 [00:53<00:45, 2.75it/s][A
57%|ββββββ | 165/288 [00:53<00:43, 2.83it/s][A
58%|ββββββ | 166/288 [00:53<00:42, 2.87it/s][A
58%|ββββββ | 167/288 [00:54<00:40, 2.99it/s][A
58%|ββββββ | 168/288 [00:54<00:40, 2.93it/s][A
59%|ββββββ | 169/288 [00:54<00:40, 2.94it/s][A
59%|ββββββ | 170/288 [00:55<00:45, 2.57it/s][A
59%|ββββββ | 171/288 [00:55<00:43, 2.68it/s][A
60%|ββββββ | 172/288 [00:56<00:41, 2.79it/s][A
60%|ββββββ | 173/288 [00:56<00:40, 2.83it/s][A
60%|ββββββ | 174/288 [00:56<00:39, 2.89it/s][A
61%|ββββββ | 175/288 [00:57<00:37, 3.01it/s][A
61%|ββββββ | 176/288 [00:57<00:51, 2.17it/s][A
61%|βββββββ | 177/288 [00:58<00:47, 2.36it/s][A
62%|βββββββ | 178/288 [00:58<00:43, 2.50it/s][A
62%|βββββββ | 179/288 [00:58<00:40, 2.67it/s][A
62%|βββββββ | 180/288 [00:59<00:39, 2.77it/s][A
63%|βββββββ | 181/288 [00:59<00:39, 2.69it/s][A
63%|βββββββ | 182/288 [00:59<00:39, 2.71it/s][A
64%|βββββββ | 183/288 [01:00<00:37, 2.82it/s][A
64%|βββββββ | 184/288 [01:00<00:36, 2.86it/s][A
64%|βββββββ | 185/288 [01:00<00:35, 2.92it/s][A
65%|βββββββ | 186/288 [01:01<00:38, 2.62it/s][A
65%|βββββββ | 187/288 [01:01<00:38, 2.63it/s][A
65%|βββββββ | 188/288 [01:02<00:36, 2.74it/s][A
66%|βββββββ | 189/288 [01:02<00:34, 2.90it/s][A
66%|βββββββ | 190/288 [01:02<00:34, 2.81it/s][A
66%|βββββββ | 191/288 [01:03<00:39, 2.43it/s][A
67%|βββββββ | 192/288 [01:03<00:36, 2.65it/s][A
67%|βββββββ | 193/288 [01:03<00:34, 2.76it/s][A
67%|βββββββ | 194/288 [01:04<00:34, 2.72it/s][A
68%|βββββββ | 195/288 [01:04<00:33, 2.80it/s][A
68%|βββββββ | 196/288 [01:05<00:39, 2.31it/s][A
68%|βββββββ | 197/288 [01:05<00:36, 2.47it/s][A
69%|βββββββ | 198/288 [01:05<00:33, 2.72it/s][A
69%|βββββββ | 199/288 [01:06<00:31, 2.82it/s][A
69%|βββββββ | 200/288 [01:06<00:29, 3.00it/s][A
70%|βββββββ | 201/288 [01:06<00:35, 2.46it/s][A
70%|βββββββ | 202/288 [01:07<00:32, 2.62it/s][A
70%|βββββββ | 203/288 [01:07<00:31, 2.73it/s][A
71%|βββββββ | 204/288 [01:07<00:29, 2.82it/s][A
71%|βββββββ | 205/288 [01:08<00:28, 2.95it/s][A
72%|ββββββββ | 206/288 [01:08<00:33, 2.42it/s][A
72%|ββββββββ | 207/288 [01:09<00:32, 2.50it/s][A
72%|ββββββββ | 208/288 [01:09<00:31, 2.57it/s][A
73%|ββββββββ | 209/288 [01:09<00:30, 2.61it/s][A
73%|ββββββββ | 210/288 [01:10<00:27, 2.87it/s][A
73%|ββββββββ | 211/288 [01:10<00:36, 2.14it/s][A
74%|ββββββββ | 212/288 [01:11<00:32, 2.36it/s][A
74%|ββββββββ | 213/288 [01:11<00:31, 2.38it/s][A
74%|ββββββββ | 214/288 [01:12<00:29, 2.54it/s][A
75%|ββββββββ | 215/288 [01:12<00:31, 2.30it/s][A
75%|ββββββββ | 216/288 [01:12<00:29, 2.45it/s][A
75%|ββββββββ | 217/288 [01:13<00:26, 2.67it/s][A
76%|ββββββββ | 218/288 [01:13<00:25, 2.72it/s][A
76%|ββββββββ | 219/288 [01:14<00:29, 2.32it/s][A
76%|ββββββββ | 220/288 [01:14<00:28, 2.37it/s][A
77%|ββββββββ | 221/288 [01:14<00:26, 2.49it/s][A
77%|ββββββββ | 222/288 [01:15<00:26, 2.54it/s][A
77%|ββββββββ | 223/288 [01:15<00:28, 2.30it/s][A
78%|ββββββββ | 224/288 [01:16<00:26, 2.45it/s][A
78%|ββββββββ | 225/288 [01:16<00:24, 2.61it/s][A
78%|ββββββββ | 226/288 [01:16<00:22, 2.72it/s][A
79%|ββββββββ | 227/288 [01:17<00:27, 2.25it/s][A
79%|ββββββββ | 228/288 [01:17<00:24, 2.40it/s][A
80%|ββββββββ | 229/288 [01:18<00:23, 2.54it/s][A
80%|ββββββββ | 230/288 [01:18<00:21, 2.66it/s][A
80%|ββββββββ | 231/288 [01:19<00:25, 2.23it/s][A
81%|ββββββββ | 232/288 [01:19<00:22, 2.44it/s][A
81%|ββββββββ | 233/288 [01:19<00:21, 2.53it/s][A
81%|βββββββββ | 234/288 [01:20<00:19, 2.71it/s][A
82%|βββββββββ | 235/288 [01:20<00:25, 2.12it/s][A
82%|βββββββββ | 236/288 [01:21<00:22, 2.28it/s][A
82%|βββββββββ | 237/288 [01:21<00:21, 2.41it/s][A
83%|βββββββββ | 238/288 [01:21<00:20, 2.50it/s][A
83%|βββββββββ | 239/288 [01:22<00:24, 2.00it/s][A
83%|βββββββββ | 240/288 [01:22<00:21, 2.27it/s][A
84%|βββββββββ | 241/288 [01:23<00:19, 2.42it/s][A
84%|βββββββββ | 242/288 [01:23<00:18, 2.54it/s][A
84%|βββββββββ | 243/288 [01:24<00:21, 2.06it/s][A
85%|βββββββββ | 244/288 [01:24<00:19, 2.24it/s][A
85%|βββββββββ | 245/288 [01:25<00:17, 2.39it/s][A
85%|βββββββββ | 246/288 [01:25<00:17, 2.45it/s][A
86%|βββββββββ | 247/288 [01:26<00:20, 2.02it/s][A
86%|βββββββββ | 248/288 [01:26<00:17, 2.25it/s][A
86%|βββββββββ | 249/288 [01:26<00:16, 2.37it/s][A
87%|βββββββββ | 250/288 [01:27<00:15, 2.45it/s][A
87%|βββββββββ | 251/288 [01:27<00:19, 1.93it/s][A
88%|βββββββββ | 252/288 [01:28<00:17, 2.10it/s][A
88%|βββββββββ | 253/288 [01:28<00:14, 2.34it/s][A
88%|βββββββββ | 254/288 [01:29<00:15, 2.19it/s][A
89%|βββββββββ | 255/288 [01:29<00:13, 2.44it/s][A
89%|βββββββββ | 256/288 [01:29<00:12, 2.56it/s][A
89%|βββββββββ | 257/288 [01:30<00:14, 2.19it/s][A
90%|βββββββββ | 258/288 [01:30<00:13, 2.30it/s][A
90%|βββββββββ | 259/288 [01:31<00:12, 2.39it/s][A
90%|βββββββββ | 260/288 [01:31<00:13, 2.08it/s][A
91%|βββββββββ | 261/288 [01:32<00:11, 2.26it/s][A
91%|βββββββββ | 262/288 [01:32<00:10, 2.41it/s][A
91%|ββββββββββ| 263/288 [01:33<00:11, 2.10it/s][A
92%|ββββββββββ| 264/288 [01:33<00:10, 2.26it/s][A
92%|ββββββββββ| 265/288 [01:33<00:09, 2.39it/s][A
92%|ββββββββββ| 266/288 [01:34<00:10, 2.08it/s][A
93%|ββββββββββ| 267/288 [01:34<00:09, 2.20it/s][A
93%|ββββββββββ| 268/288 [01:35<00:08, 2.38it/s][A
93%|ββββββββββ| 269/288 [01:35<00:09, 2.00it/s][A
94%|ββββββββββ| 270/288 [01:36<00:08, 2.11it/s][A
94%|ββββββββββ| 271/288 [01:36<00:07, 2.28it/s][A
94%|ββββββββββ| 272/288 [01:37<00:08, 1.85it/s][A
95%|ββββββββββ| 273/288 [01:37<00:07, 2.08it/s][A
95%|ββββββββββ| 274/288 [01:38<00:06, 2.28it/s][A
95%|ββββββββββ| 275/288 [01:38<00:06, 1.89it/s][A
96%|ββββββββββ| 276/288 [01:39<00:05, 2.12it/s][A
96%|ββββββββββ| 277/288 [01:39<00:04, 2.29it/s][A
97%|ββββββββββ| 278/288 [01:40<00:05, 1.78it/s][A
97%|ββββββββββ| 279/288 [01:40<00:04, 2.05it/s][A
97%|ββββββββββ| 280/288 [01:41<00:03, 2.24it/s][A
98%|ββββββββββ| 281/288 [01:41<00:03, 1.83it/s][A
98%|ββββββββββ| 282/288 [01:42<00:02, 2.06it/s][A
98%|ββββββββββ| 283/288 [01:42<00:02, 2.17it/s][A
99%|ββββββββββ| 284/288 [01:43<00:02, 1.80it/s][A
99%|ββββββββββ| 285/288 [01:43<00:01, 2.05it/s][A
99%|ββββββββββ| 286/288 [01:44<00:00, 2.26it/s][A
100%|ββββββββββ| 287/288 [01:44<00:00, 1.80it/s][A
100%|ββββββββββ| 288/288 [01:45<00:00, 2.07it/s][A
[A
1%|β | 500/37300 [15:13<14:56:05, 1.46s/it]
100%|ββββββββββ| 288/288 [02:10<00:00, 2.07it/s][A
[ASaving model checkpoint to ./checkpoint-500
Configuration saved in ./checkpoint-500/config.json
Model weights saved in ./checkpoint-500/pytorch_model.bin
Configuration saved in ./checkpoint-500/preprocessor_config.json
Configuration saved in ./preprocessor_config.json
|