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Training in progress, step 500
ac4fd85
01/31/2022 11:15:19 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True
01/31/2022 11:15:19 - 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=7.5e-05,
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/Jan31_11-15-19_job-aa543290-d6de-4d4d-8a32-2149b1b8e7e3,
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=50.0,
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=[],
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,
)
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Downloading and preparing dataset zeroth_korean_asr/clean to /workspace/.cache/huggingface/datasets/kresnik___zeroth_korean_asr/clean/1.0.1/f6cf96a53d5512525e3113bab8048d36ce268658d6e0c40d45f65dfa3f0bc343...
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0 examples [00:00, ? examples/s] 1282 examples [00:00, 12814.76 examples/s] 4098 examples [00:00, 21839.04 examples/s] 6935 examples [00:00, 24819.89 examples/s] 9418 examples [00:00, 19087.48 examples/s] 11477 examples [00:00, 18315.53 examples/s] 14356 examples [00:00, 21332.94 examples/s] 17183 examples [00:00, 23354.94 examples/s] 20000 examples [00:00, 22196.21 examples/s] 0 examples [00:00, ? examples/s] Dataset zeroth_korean_asr downloaded and prepared to /workspace/.cache/huggingface/datasets/kresnik___zeroth_korean_asr/clean/1.0.1/f6cf96a53d5512525e3113bab8048d36ce268658d6e0c40d45f65dfa3f0bc343. Subsequent calls will reuse this data.
01/31/2022 11:19:02 - WARNING - datasets.builder - Reusing dataset zeroth_korean_asr (/workspace/.cache/huggingface/datasets/kresnik___zeroth_korean_asr/clean/1.0.1/f6cf96a53d5512525e3113bab8048d36ce268658d6e0c40d45f65dfa3f0bc343)
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remove special characters from datasets: 0ex [00:00, ?ex/s] remove special characters from datasets: 457ex [00:00, 11644.05ex/s]
https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/config.json not found in cache or force_download set to True, downloading to /workspace/.cache/huggingface/transformers/tmpf6f8pfrp
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storing https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/config.json in cache at /workspace/.cache/huggingface/transformers/19f816c26d6fef49a4dfc0fc6b841c37792a250d2697d8432769f8af5698f1dc.90dd5f300087b6277c408283c36aefa2efb15afd0d3e210b3a7c3f3efc478d03
creating metadata file for /workspace/.cache/huggingface/transformers/19f816c26d6fef49a4dfc0fc6b841c37792a250d2697d8432769f8af5698f1dc.90dd5f300087b6277c408283c36aefa2efb15afd0d3e210b3a7c3f3efc478d03
loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/19f816c26d6fef49a4dfc0fc6b841c37792a250d2697d8432769f8af5698f1dc.90dd5f300087b6277c408283c36aefa2efb15afd0d3e210b3a7c3f3efc478d03
Model config Wav2Vec2Config {
"_name_or_path": "facebook/wav2vec2-xls-r-1b",
"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": 1024,
"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": 1280,
"initializer_range": 0.02,
"intermediate_size": 5120,
"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": 48,
"num_negatives": 100,
"output_hidden_size": 1280,
"pad_token_id": 0,
"proj_codevector_dim": 1024,
"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.
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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-1b/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/19f816c26d6fef49a4dfc0fc6b841c37792a250d2697d8432769f8af5698f1dc.90dd5f300087b6277c408283c36aefa2efb15afd0d3e210b3a7c3f3efc478d03
Model config Wav2Vec2Config {
"_name_or_path": "facebook/wav2vec2-xls-r-1b",
"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": 1024,
"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": 1280,
"initializer_range": 0.02,
"intermediate_size": 5120,
"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": 48,
"num_negatives": 100,
"output_hidden_size": 1280,
"pad_token_id": 0,
"proj_codevector_dim": 1024,
"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
}
https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/preprocessor_config.json not found in cache or force_download set to True, downloading to /workspace/.cache/huggingface/transformers/tmpjxesrf60
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storing https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/preprocessor_config.json in cache at /workspace/.cache/huggingface/transformers/a33f3a17d64af3dc7d6af9fe68e6fcbe153fd601b94de9e09ff27c6916beed02.d4484dc1c81456a2461485e7168b04347a7b9a4e3b1ef3aba723323b33e12326
creating metadata file for /workspace/.cache/huggingface/transformers/a33f3a17d64af3dc7d6af9fe68e6fcbe153fd601b94de9e09ff27c6916beed02.d4484dc1c81456a2461485e7168b04347a7b9a4e3b1ef3aba723323b33e12326
loading feature extractor configuration file https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/preprocessor_config.json from cache at /workspace/.cache/huggingface/transformers/a33f3a17d64af3dc7d6af9fe68e6fcbe153fd601b94de9e09ff27c6916beed02.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
}
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45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 1.61G/3.60G [00:35<00:48, 43.7MB/s] Downloading: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 1.61G/3.60G [00:35<00:49, 43.1MB/s] Downloading: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 1.61G/3.60G [00:35<00:47, 45.1MB/s] Downloading: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1.62G/3.60G [00:35<00:49, 43.0MB/s] Downloading: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1.62G/3.60G [00:35<00:47, 45.0MB/s] Downloading: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1.63G/3.60G [00:36<00:48, 43.8MB/s] Downloading: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1.63G/3.60G [00:36<00:48, 43.6MB/s] Downloading: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1.64G/3.60G [00:36<00:45, 45.9MB/s] Downloading: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1.64G/3.60G [00:36<00:50, 41.9MB/s] Downloading: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1.65G/3.60G [00:36<00:46, 45.4MB/s] Downloading: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1.65G/3.60G [00:36<00:47, 44.1MB/s] Downloading: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1.66G/3.60G [00:36<00:45, 45.8MB/s] Downloading: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1.66G/3.60G [00:36<00:47, 43.8MB/s] Downloading: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1.66G/3.60G [00:36<00:46, 45.0MB/s] Downloading: 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Downloading: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1.87G/3.60G [00:41<00:37, 49.6MB/s] Downloading: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1.88G/3.60G [00:41<00:38, 47.5MB/s] Downloading: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1.88G/3.60G [00:41<00:37, 48.6MB/s] Downloading: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1.89G/3.60G [00:42<00:37, 49.3MB/s] Downloading: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1.89G/3.60G [00:42<00:37, 48.3MB/s] Downloading: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1.90G/3.60G [00:42<00:35, 51.0MB/s] Downloading: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1.90G/3.60G [00:42<00:37, 48.3MB/s] Downloading: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1.91G/3.60G [00:42<00:36, 49.9MB/s] Downloading: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1.91G/3.60G [00:42<00:35, 50.7MB/s] Downloading: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1.91G/3.60G [00:42<00:36, 49.2MB/s] Downloading: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1.92G/3.60G [00:42<00:36, 49.0MB/s] Downloading: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1.92G/3.60G [00:42<00:35, 50.6MB/s] Downloading: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1.93G/3.60G [00:42<00:35, 50.4MB/s] Downloading: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 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89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 3.21G/3.60G [01:08<00:11, 36.5MB/s] Downloading: 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 3.22G/3.60G [01:08<00:12, 33.8MB/s] Downloading: 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 3.22G/3.60G [01:08<00:12, 33.2MB/s] Downloading: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 3.22G/3.60G [01:08<00:12, 32.0MB/s] Downloading: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 3.23G/3.60G [01:08<00:12, 32.4MB/s] Downloading: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 3.23G/3.60G [01:09<00:12, 30.6MB/s] Downloading: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 3.23G/3.60G [01:09<00:12, 32.2MB/s] Downloading: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 3.24G/3.60G [01:09<00:12, 30.3MB/s] Downloading: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.24G/3.60G [01:09<00:11, 32.2MB/s] Downloading: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.24G/3.60G [01:09<00:12, 30.7MB/s] Downloading: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.24G/3.60G [01:09<00:11, 31.9MB/s] Downloading: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.25G/3.60G [01:09<00:12, 30.7MB/s] Downloading: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.25G/3.60G [01:09<00:11, 31.6MB/s] Downloading: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.25G/3.60G [01:09<00:11, 32.2MB/s] Downloading: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.26G/3.60G [01:10<00:11, 31.1MB/s] Downloading: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.26G/3.60G [01:10<00:10, 33.3MB/s] Downloading: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.26G/3.60G [01:10<00:11, 31.1MB/s] Downloading: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.27G/3.60G [01:10<00:10, 32.9MB/s] Downloading: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.27G/3.60G [01:10<00:10, 32.0MB/s] Downloading: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.27G/3.60G [01:10<00:10, 32.1MB/s] Downloading: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.28G/3.60G [01:10<00:10, 32.8MB/s] Downloading: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3.28G/3.60G [01:10<00:10, 32.7MB/s] Downloading: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.28G/3.60G [01:10<00:10, 32.7MB/s] Downloading: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.29G/3.60G [01:10<00:09, 33.4MB/s] Downloading: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.29G/3.60G [01:11<00:10, 32.5MB/s] Downloading: 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.29G/3.60G [01:11<00:09, 34.4MB/s] Downloading: 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.30G/3.60G [01:11<00:09, 32.3MB/s] Downloading: 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.30G/3.60G [01:11<00:09, 34.3MB/s] Downloading: 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.30G/3.60G [01:11<00:09, 33.4MB/s] Downloading: 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.31G/3.60G [01:11<00:09, 33.1MB/s] Downloading: 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.31G/3.60G [01:11<00:08, 34.5MB/s] Downloading: 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.31G/3.60G [01:11<00:09, 33.2MB/s] Downloading: 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.32G/3.60G [01:11<00:08, 34.9MB/s] Downloading: 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.32G/3.60G [01:12<00:08, 33.3MB/s] Downloading: 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.32G/3.60G [01:12<00:08, 34.8MB/s] Downloading: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.33G/3.60G [01:12<00:08, 34.5MB/s] Downloading: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.33G/3.60G [01:12<00:08, 33.3MB/s] Downloading: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.33G/3.60G [01:12<00:07, 35.6MB/s] Downloading: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.34G/3.60G [01:12<00:08, 33.6MB/s] Downloading: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.34G/3.60G [01:12<00:07, 35.7MB/s] Downloading: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.35G/3.60G [01:12<00:08, 33.7MB/s] Downloading: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.35G/3.60G [01:12<00:07, 35.1MB/s] Downloading: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.35G/3.60G [01:13<00:07, 35.0MB/s] Downloading: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.36G/3.60G [01:13<00:07, 34.2MB/s] Downloading: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.36G/3.60G [01:13<00:07, 36.0MB/s] Downloading: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.36G/3.60G [01:13<00:07, 33.7MB/s] Downloading: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.37G/3.60G [01:13<00:06, 35.9MB/s] Downloading: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 3.37G/3.60G [01:13<00:07, 33.0MB/s] Downloading: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.37G/3.60G [01:13<00:06, 35.9MB/s] Downloading: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.38G/3.60G [01:13<00:06, 33.8MB/s] Downloading: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.38G/3.60G [01:13<00:06, 34.5MB/s] Downloading: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.38G/3.60G [01:14<00:06, 35.7MB/s] Downloading: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.39G/3.60G [01:14<00:06, 34.2MB/s] Downloading: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.39G/3.60G [01:14<00:06, 36.3MB/s] Downloading: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.39G/3.60G [01:14<00:06, 34.3MB/s] Downloading: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.40G/3.60G [01:14<00:05, 36.3MB/s] Downloading: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.40G/3.60G [01:14<00:06, 33.9MB/s] Downloading: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.41G/3.60G [01:14<00:05, 36.5MB/s] Downloading: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.41G/3.60G [01:14<00:05, 34.2MB/s] Downloading: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 3.41G/3.60G [01:14<00:05, 36.8MB/s] Downloading: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 3.42G/3.60G [01:15<00:05, 34.1MB/s] Downloading: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 3.42G/3.60G [01:15<00:05, 36.7MB/s] Downloading: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 3.42G/3.60G [01:15<00:05, 34.7MB/s] Downloading: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 3.43G/3.60G [01:15<00:04, 36.9MB/s] Downloading: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 3.43G/3.60G [01:15<00:05, 34.4MB/s] Downloading: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 3.44G/3.60G [01:15<00:04, 36.2MB/s] Downloading: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 3.44G/3.60G [01:15<00:04, 34.3MB/s] Downloading: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 3.44G/3.60G [01:15<00:04, 36.5MB/s] Downloading: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 3.45G/3.60G [01:15<00:04, 34.6MB/s] Downloading: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 3.45G/3.60G [01:16<00:04, 32.7MB/s] Downloading: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 3.45G/3.60G [01:16<00:04, 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storing https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/pytorch_model.bin in cache at /workspace/.cache/huggingface/transformers/1b10cc2ca6452defe09996da7c9e2d4a9550e22295550c3659e8b1895c97921a.46e33ebecb25f07f270ccfa8896911dd7aeba6b646f8724d18117987926c98db
creating metadata file for /workspace/.cache/huggingface/transformers/1b10cc2ca6452defe09996da7c9e2d4a9550e22295550c3659e8b1895c97921a.46e33ebecb25f07f270ccfa8896911dd7aeba6b646f8724d18117987926c98db
loading weights file https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/pytorch_model.bin from cache at /workspace/.cache/huggingface/transformers/1b10cc2ca6452defe09996da7c9e2d4a9550e22295550c3659e8b1895c97921a.46e33ebecb25f07f270ccfa8896911dd7aeba6b646f8724d18117987926c98db
Some weights of the model checkpoint at facebook/wav2vec2-xls-r-1b were not used when initializing Wav2Vec2ForCTC: ['project_q.weight', 'project_hid.weight', 'quantizer.codevectors', 'project_q.bias', 'project_hid.bias', 'quantizer.weight_proj.weight', '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-1b and are newly initialized: ['lm_head.bias', 'lm_head.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
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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": 1024,
"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": 1280,
"initializer_range": 0.02,
"intermediate_size": 5120,
"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": 48,
"num_negatives": 100,
"output_hidden_size": 1280,
"pad_token_id": 1204,
"proj_codevector_dim": 1024,
"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": 1207,
"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-1b-korean/./ is already a clone of https://huggingface.co/anantoj/wav2vec2-xls-r-1b-korean. Make sure you pull the latest changes with `repo.git_pull()`.
01/31/2022 11:22:37 - WARNING - huggingface_hub.repository - /workspace/wav2vec2-xls-r-1b-korean/./ is already a clone of https://huggingface.co/anantoj/wav2vec2-xls-r-1b-korean. 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 = 22262
Num Epochs = 50
Instantaneous batch size per device = 8
Total train batch size (w. parallel, distributed & accumulation) = 32
Gradient Accumulation steps = 4
Total optimization steps = 34750
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[36:10<38:28:13, 4.03s/it] 1%| | 392/34750 [36:14<37:58:36, 3.98s/it] 1%| | 393/34750 [36:17<37:12:39, 3.90s/it] 1%| | 394/34750 [36:21<36:42:06, 3.85s/it] 1%| | 395/34750 [36:25<36:09:22, 3.79s/it] 1%| | 396/34750 [36:28<35:38:35, 3.74s/it] 1%| | 397/34750 [36:32<34:46:07, 3.64s/it] 1%| | 398/34750 [36:35<33:37:48, 3.52s/it] 1%| | 399/34750 [36:38<32:21:52, 3.39s/it] 1%| | 400/34750 [36:41<31:06:12, 3.26s/it] 1%| | 400/34750 [36:41<31:06:12, 3.26s/it] 1%| | 401/34750 [36:53<55:03:32, 5.77s/it] 1%| | 402/34750 [37:03<67:51:45, 7.11s/it] 1%| | 403/34750 [37:11<71:24:05, 7.48s/it] 1%| | 404/34750 [37:20<74:49:57, 7.84s/it] 1%| | 405/34750 [37:28<75:48:58, 7.95s/it] 1%| | 406/34750 [37:36<76:32:44, 8.02s/it] 1%| | 407/34750 [37:44<75:25:26, 7.91s/it] 1%| | 408/34750 [37:51<73:20:43, 7.69s/it] 1%| | 409/34750 [37:58<71:40:10, 7.51s/it] 1%| | 410/34750 [38:05<70:11:28, 7.36s/it] 1%| | 411/34750 [38:12<68:47:56, 7.21s/it] 1%| | 412/34750 [38:19<67:46:16, 7.11s/it] 1%| | 413/34750 [38:25<65:34:48, 6.88s/it] 1%| | 414/34750 [38:32<64:19:48, 6.74s/it] 1%| | 415/34750 [38:38<62:31:06, 6.56s/it] 1%| | 416/34750 [38:44<61:11:38, 6.42s/it] 1%| | 417/34750 [38:50<60:01:28, 6.29s/it] 1%| | 418/34750 [38:56<58:29:06, 6.13s/it] 1%| | 419/34750 [39:02<57:32:37, 6.03s/it] 1%| | 420/34750 [39:07<56:21:06, 5.91s/it] 1%| | 421/34750 [39:13<55:13:17, 5.79s/it] 1%| | 422/34750 [39:18<53:53:36, 5.65s/it] 1%| | 423/34750 [39:23<53:20:13, 5.59s/it] 1%| | 424/34750 [39:29<52:42:17, 5.53s/it] 1%| | 425/34750 [39:34<51:26:58, 5.40s/it] 1%| | 426/34750 [39:39<50:25:42, 5.29s/it] 1%| | 427/34750 [39:44<49:29:35, 5.19s/it] 1%| | 428/34750 [39:49<48:28:48, 5.09s/it] 1%| | 429/34750 [39:54<47:26:46, 4.98s/it] 1%| | 430/34750 [39:58<46:30:39, 4.88s/it] 1%| | 431/34750 [40:03<45:39:50, 4.79s/it] 1%| | 432/34750 [40:07<44:48:17, 4.70s/it] 1%| | 433/34750 [40:12<44:19:57, 4.65s/it] 1%| | 434/34750 [40:16<43:38:17, 4.58s/it] 1%|▏ | 435/34750 [40:20<42:49:04, 4.49s/it] 1%|▏ | 436/34750 [40:25<42:13:45, 4.43s/it] 1%|▏ | 437/34750 [40:29<41:28:58, 4.35s/it] 1%|▏ | 438/34750 [40:33<40:41:49, 4.27s/it] 1%|▏ | 439/34750 [40:37<40:02:21, 4.20s/it] 1%|▏ | 440/34750 [40:41<39:32:23, 4.15s/it] 1%|▏ | 441/34750 [40:45<38:46:29, 4.07s/it] 1%|▏ | 442/34750 [40:49<38:03:06, 3.99s/it] 1%|▏ | 443/34750 [40:53<37:18:12, 3.91s/it] 1%|▏ | 444/34750 [40:56<36:37:15, 3.84s/it] 1%|▏ | 445/34750 [41:00<35:57:39, 3.77s/it] 1%|▏ | 446/34750 [41:03<35:22:12, 3.71s/it] 1%|▏ | 447/34750 [41:07<34:06:10, 3.58s/it] 1%|▏ | 448/34750 [41:10<32:53:23, 3.45s/it] 1%|▏ | 449/34750 [41:13<32:01:11, 3.36s/it] 1%|▏ | 450/34750 [41:16<30:41:54, 3.22s/it] 1%|▏ | 451/34750 [41:27<53:48:41, 5.65s/it] 1%|▏ | 452/34750 [41:37<64:59:08, 6.82s/it] 1%|▏ | 453/34750 [41:45<68:56:47, 7.24s/it] 1%|▏ | 454/34750 [41:53<71:08:02, 7.47s/it] 1%|▏ | 455/34750 [42:01<72:41:32, 7.63s/it] 1%|▏ | 456/34750 [42:09<72:59:47, 7.66s/it] 1%|▏ | 457/34750 [42:16<71:48:53, 7.54s/it] 1%|▏ | 458/34750 [42:23<71:07:24, 7.47s/it] 1%|▏ | 459/34750 [42:30<69:46:54, 7.33s/it] 1%|▏ | 460/34750 [42:37<68:58:12, 7.24s/it] 1%|▏ | 461/34750 [42:44<67:41:18, 7.11s/it] 1%|▏ | 462/34750 [42:51<65:56:55, 6.92s/it] 1%|▏ | 463/34750 [42:57<63:45:11, 6.69s/it] 1%|▏ | 464/34750 [43:03<61:57:14, 6.51s/it] 1%|▏ | 465/34750 [43:09<60:50:52, 6.39s/it] 1%|▏ | 466/34750 [43:15<60:44:14, 6.38s/it] 1%|▏ | 467/34750 [43:21<58:53:55, 6.18s/it] 1%|▏ | 468/34750 [43:27<57:40:07, 6.06s/it] 1%|▏ | 469/34750 [43:32<56:07:10, 5.89s/it] 1%|▏ | 470/34750 [43:38<54:44:16, 5.75s/it] 1%|▏ | 471/34750 [43:43<53:35:42, 5.63s/it] 1%|▏ | 472/34750 [43:49<53:52:46, 5.66s/it] 1%|▏ | 473/34750 [43:54<52:50:03, 5.55s/it] 1%|▏ | 474/34750 [43:59<51:57:54, 5.46s/it] 1%|▏ | 475/34750 [44:04<51:17:49, 5.39s/it] 1%|▏ | 476/34750 [44:10<51:33:02, 5.41s/it] 1%|▏ | 477/34750 [44:15<50:35:41, 5.31s/it] 1%|▏ | 478/34750 [44:20<49:42:15, 5.22s/it] 1%|▏ | 479/34750 [44:25<49:15:49, 5.17s/it] 1%|▏ | 480/34750 [44:30<48:58:12, 5.14s/it] 1%|▏ | 481/34750 [44:35<48:33:18, 5.10s/it] 1%|▏ | 482/34750 [44:40<47:21:46, 4.98s/it] 1%|▏ | 483/34750 [44:44<45:53:56, 4.82s/it] 1%|▏ | 484/34750 [44:49<44:39:18, 4.69s/it] 1%|▏ | 485/34750 [44:53<43:56:05, 4.62s/it] 1%|▏ | 486/34750 [44:57<43:01:45, 4.52s/it] 1%|▏ | 487/34750 [45:02<42:15:57, 4.44s/it] 1%|▏ | 488/34750 [45:06<41:13:24, 4.33s/it] 1%|▏ | 489/34750 [45:10<40:20:21, 4.24s/it] 1%|▏ | 490/34750 [45:14<39:45:30, 4.18s/it] 1%|▏ | 491/34750 [45:18<39:12:42, 4.12s/it] 1%|▏ | 492/34750 [45:22<38:29:33, 4.04s/it] 1%|▏ | 493/34750 [45:26<37:50:06, 3.98s/it] 1%|▏ | 494/34750 [45:29<37:11:40, 3.91s/it] 1%|▏ | 495/34750 [45:33<36:47:39, 3.87s/it] 1%|▏ | 496/34750 [45:37<36:08:51, 3.80s/it] 1%|▏ | 497/34750 [45:40<35:15:23, 3.71s/it] 1%|▏ | 498/34750 [45:43<33:56:27, 3.57s/it] 1%|▏ | 499/34750 [45:47<32:46:22, 3.44s/it] 1%|▏ | 500/34750 [45:49<31:05:46, 3.27s/it] 1%|▏ | 500/34750 [45:49<31:05:46, 3.27s/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 = 456
Batch size = 8
{'loss': 27.8845, 'learning_rate': 3.6e-06, 'epoch': 0.14}
{'loss': 5.2607, 'learning_rate': 7.35e-06, 'epoch': 0.29}
{'loss': 4.8397, 'learning_rate': 1.1099999999999999e-05, 'epoch': 0.43}
{'loss': 4.6751, 'learning_rate': 1.485e-05, 'epoch': 0.57}
{'loss': 4.603, 'learning_rate': 1.8599999999999998e-05, 'epoch': 0.72}
0%| | 0/57 [00:00<?, ?it/s]
4%|β–Ž | 2/57 [00:01<00:27, 1.98it/s]
5%|β–Œ | 3/57 [00:01<00:36, 1.49it/s]
7%|β–‹ | 4/57 [00:02<00:41, 1.28it/s]
9%|β–‰ | 5/57 [00:03<00:41, 1.26it/s]
11%|β–ˆ | 6/57 [00:04<00:44, 1.15it/s]
12%|β–ˆβ– | 7/57 [00:05<00:44, 1.12it/s]
14%|β–ˆβ– | 8/57 [00:06<00:45, 1.08it/s]
16%|β–ˆβ–Œ | 9/57 [00:07<00:43, 1.09it/s]
18%|β–ˆβ–Š | 10/57 [00:08<00:42, 1.10it/s]
19%|β–ˆβ–‰ | 11/57 [00:09<00:43, 1.05it/s]
21%|β–ˆβ–ˆ | 12/57 [00:10<00:45, 1.01s/it]
23%|β–ˆβ–ˆβ–Ž | 13/57 [00:11<00:47, 1.08s/it]
25%|β–ˆβ–ˆβ– | 14/57 [00:12<00:46, 1.09s/it]
26%|β–ˆβ–ˆβ–‹ | 15/57 [00:14<00:47, 1.13s/it]
28%|β–ˆβ–ˆβ–Š | 16/57 [00:15<00:46, 1.14s/it]
30%|β–ˆβ–ˆβ–‰ | 17/57 [00:16<00:45, 1.14s/it]
32%|β–ˆβ–ˆβ–ˆβ– | 18/57 [00:17<00:42, 1.10s/it]
33%|β–ˆβ–ˆβ–ˆβ–Ž | 19/57 [00:18<00:42, 1.11s/it]
35%|β–ˆβ–ˆβ–ˆβ–Œ | 20/57 [00:19<00:40, 1.08s/it]
37%|β–ˆβ–ˆβ–ˆβ–‹ | 21/57 [00:20<00:39, 1.09s/it]
39%|β–ˆβ–ˆβ–ˆβ–Š | 22/57 [00:22<00:39, 1.12s/it]
40%|β–ˆβ–ˆβ–ˆβ–ˆ | 23/57 [00:22<00:35, 1.06s/it]
42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 24/57 [00:23<00:34, 1.03s/it]
44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 25/57 [00:24<00:30, 1.06it/s]
46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 26/57 [00:25<00:26, 1.17it/s]
47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 27/57 [00:26<00:27, 1.08it/s]
49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 28/57 [00:27<00:29, 1.01s/it]
51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 29/57 [00:28<00:31, 1.11s/it]
53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 30/57 [00:29<00:29, 1.09s/it]
54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 31/57 [00:31<00:30, 1.19s/it]
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 32/57 [00:32<00:27, 1.12s/it]
58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 33/57 [00:33<00:27, 1.14s/it]
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 34/57 [00:34<00:26, 1.15s/it]
61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 35/57 [00:35<00:24, 1.10s/it]
63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 36/57 [00:36<00:23, 1.14s/it]
65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 37/57 [00:37<00:19, 1.01it/s]
67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 38/57 [00:38<00:19, 1.02s/it]
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 39/57 [00:39<00:17, 1.05it/s]
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/57 [00:40<00:17, 1.03s/it]
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 41/57 [00:41<00:17, 1.07s/it]
74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 42/57 [00:42<00:15, 1.02s/it]
75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 43/57 [00:43<00:13, 1.04it/s]
77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 44/57 [00:44<00:11, 1.10it/s]
79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 45/57 [00:45<00:11, 1.06it/s]
81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 46/57 [00:46<00:10, 1.01it/s]
82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 47/57 [00:47<00:08, 1.13it/s]
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 48/57 [00:47<00:07, 1.17it/s]
86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 49/57 [00:48<00:06, 1.18it/s]
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 50/57 [00:49<00:06, 1.13it/s]
89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 51/57 [00:50<00:05, 1.13it/s]
91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 52/57 [00:51<00:04, 1.12it/s]
93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 53/57 [00:52<00:03, 1.10it/s]
95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 54/57 [00:53<00:02, 1.18it/s]
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 55/57 [00:53<00:01, 1.23it/s]
98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 56/57 [00:54<00:00, 1.23it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 57/57 [00:55<00:00, 1.17it/s]
 1%|▏ | 500/34750 [46:51<31:05:46, 3.27s/it]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 57/57 [01:00<00:00, 1.17it/s]
Saving 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