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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                                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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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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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"
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  "attention_dropout": 0.1,
  "bos_token_id": 1,
  "classifier_proj_size": 256,
  "codevector_dim": 1024,
  "contrastive_logits_temperature": 0.1,
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  "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",
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  "feat_extract_norm": "layer",
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  "gradient_checkpointing": false,
  "hidden_act": "gelu",
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  "num_negatives": 100,
  "output_hidden_size": 1280,
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  "proj_codevector_dim": 1024,
  "tdnn_dilation": [
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    2,
    3,
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    1
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    512,
    512,
    512,
    512,
    1500
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  "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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loading file ./vocab.json
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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,
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  "architectures": [
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  "bos_token_id": 1,
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  "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",
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  "feat_quantizer_dropout": 0.0,
  "final_dropout": 0.0,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
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  "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,
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  "proj_codevector_dim": 1024,
  "tdnn_dilation": [
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    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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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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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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  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}


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                                               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

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  3%|▎         | 1000/34750 [1:34:44<72:52:04,  7.77s/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
{'eval_loss': 4.657182693481445, 'eval_wer': 0.9984898822108125, 'eval_runtime': 61.7478, 'eval_samples_per_second': 7.385, 'eval_steps_per_second': 0.923, 'epoch': 0.72}
{'loss': 4.5246, 'learning_rate': 2.2349999999999998e-05, 'epoch': 0.86}
{'loss': 3.8527, 'learning_rate': 2.6099999999999997e-05, 'epoch': 1.01}
{'loss': 3.0344, 'learning_rate': 2.985e-05, 'epoch': 1.15}
{'loss': 2.7616, 'learning_rate': 3.36e-05, 'epoch': 1.29}
{'loss': 2.6314, 'learning_rate': 3.735e-05, 'epoch': 1.44}


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                                               Saving model checkpoint to ./checkpoint-1000
Configuration saved in ./checkpoint-1000/config.json
Model weights saved in ./checkpoint-1000/pytorch_model.bin
Configuration saved in ./checkpoint-1000/preprocessor_config.json
Configuration saved in ./preprocessor_config.json

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  4%|▍         | 1500/34750 [2:26:01<67:29:11,  7.31s/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
{'eval_loss': 2.0424230098724365, 'eval_wer': 0.9255511929930534, 'eval_runtime': 57.8725, 'eval_samples_per_second': 7.879, 'eval_steps_per_second': 0.985, 'epoch': 1.44}
{'loss': 2.4936, 'learning_rate': 4.11e-05, 'epoch': 1.58}
{'loss': 2.4557, 'learning_rate': 4.484999999999999e-05, 'epoch': 1.73}
{'loss': 2.3667, 'learning_rate': 4.8599999999999995e-05, 'epoch': 1.87}
{'loss': 2.3147, 'learning_rate': 5.234999999999999e-05, 'epoch': 2.01}
{'loss': 2.2708, 'learning_rate': 5.6099999999999995e-05, 'epoch': 2.16}


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                                               Saving model checkpoint to ./checkpoint-1500
Configuration saved in ./checkpoint-1500/config.json
Model weights saved in ./checkpoint-1500/pytorch_model.bin
Configuration saved in ./checkpoint-1500/preprocessor_config.json

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  6%|▌         | 2000/34750 [3:13:09<66:29:02,  7.31s/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
{'eval_loss': 0.9889274835586548, 'eval_wer': 0.6988825128360012, 'eval_runtime': 59.1503, 'eval_samples_per_second': 7.709, 'eval_steps_per_second': 0.964, 'epoch': 2.16}
{'loss': 2.1797, 'learning_rate': 5.985e-05, 'epoch': 2.3}
{'loss': 2.1628, 'learning_rate': 6.359999999999999e-05, 'epoch': 2.45}
{'loss': 2.1662, 'learning_rate': 6.735e-05, 'epoch': 2.59}
{'loss': 2.1623, 'learning_rate': 7.11e-05, 'epoch': 2.73}
{'loss': 2.1769, 'learning_rate': 7.484999999999999e-05, 'epoch': 2.88}


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                                               Saving model checkpoint to ./checkpoint-2000
Configuration saved in ./checkpoint-2000/config.json
Model weights saved in ./checkpoint-2000/pytorch_model.bin
Configuration saved in ./checkpoint-2000/preprocessor_config.json
Deleting older checkpoint [checkpoint-500] due to args.save_total_limit

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  7%|▋         | 2500/34750 [3:59:59<56:38:09,  6.32s/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
{'eval_loss': 0.8366215825080872, 'eval_wer': 0.6312292358803987, 'eval_runtime': 56.673, 'eval_samples_per_second': 8.046, 'eval_steps_per_second': 1.006, 'epoch': 2.88}
{'loss': 2.1913, 'learning_rate': 7.478015267175572e-05, 'epoch': 3.02}
{'loss': 2.1906, 'learning_rate': 7.455114503816793e-05, 'epoch': 3.17}
{'loss': 2.1964, 'learning_rate': 7.432213740458014e-05, 'epoch': 3.31}
{'loss': 2.1548, 'learning_rate': 7.409312977099236e-05, 'epoch': 3.45}
{'loss': 2.1142, 'learning_rate': 7.386412213740458e-05, 'epoch': 3.6}


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                                               Saving model checkpoint to ./checkpoint-2500
Configuration saved in ./checkpoint-2500/config.json
Model weights saved in ./checkpoint-2500/pytorch_model.bin
Configuration saved in ./checkpoint-2500/preprocessor_config.json
Deleting older checkpoint [checkpoint-1000] due to args.save_total_limit

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  9%|▊         | 3000/34750 [4:47:00<51:25:55,  5.83s/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
{'eval_loss': 0.7555108070373535, 'eval_wer': 0.5998187858652975, 'eval_runtime': 57.6601, 'eval_samples_per_second': 7.908, 'eval_steps_per_second': 0.989, 'epoch': 3.6}
{'loss': 2.1028, 'learning_rate': 7.363511450381678e-05, 'epoch': 3.74}
{'loss': 2.0524, 'learning_rate': 7.3406106870229e-05, 'epoch': 3.88}
{'loss': 2.0426, 'learning_rate': 7.317709923664121e-05, 'epoch': 4.03}
{'loss': 1.9613, 'learning_rate': 7.29503816793893e-05, 'epoch': 4.17}
{'loss': 2.0084, 'learning_rate': 7.272137404580152e-05, 'epoch': 4.32}


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                                               Saving model checkpoint to ./checkpoint-3000
Configuration saved in ./checkpoint-3000/config.json
Model weights saved in ./checkpoint-3000/pytorch_model.bin
Configuration saved in ./checkpoint-3000/preprocessor_config.json
Deleting older checkpoint [checkpoint-1500] due to args.save_total_limit

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 10%|█         | 3500/34750 [5:34:18<47:39:26,  5.49s/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
{'eval_loss': 0.7143925428390503, 'eval_wer': 0.6002718212020538, 'eval_runtime': 57.4263, 'eval_samples_per_second': 7.941, 'eval_steps_per_second': 0.993, 'epoch': 4.32}
{'loss': 2.0063, 'learning_rate': 7.249236641221373e-05, 'epoch': 4.46}
{'loss': 1.9758, 'learning_rate': 7.226335877862594e-05, 'epoch': 4.6}
{'loss': 1.9313, 'learning_rate': 7.203435114503816e-05, 'epoch': 4.75}
{'loss': 1.9009, 'learning_rate': 7.180534351145037e-05, 'epoch': 4.89}
{'loss': 1.9272, 'learning_rate': 7.15763358778626e-05, 'epoch': 5.04}


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                                               Saving model checkpoint to ./checkpoint-3500
Configuration saved in ./checkpoint-3500/config.json
Model weights saved in ./checkpoint-3500/pytorch_model.bin
Configuration saved in ./checkpoint-3500/preprocessor_config.json
Deleting older checkpoint [checkpoint-2000] due to args.save_total_limit

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 12%|█▏        | 4000/34750 [6:21:22<45:22:57,  5.31s/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
{'eval_loss': 0.631069004535675, 'eval_wer': 0.5460585925702205, 'eval_runtime': 58.3633, 'eval_samples_per_second': 7.813, 'eval_steps_per_second': 0.977, 'epoch': 5.04}
{'loss': 1.8728, 'learning_rate': 7.13473282442748e-05, 'epoch': 5.18}
{'loss': 1.8675, 'learning_rate': 7.111832061068701e-05, 'epoch': 5.32}
{'loss': 1.8549, 'learning_rate': 7.088931297709923e-05, 'epoch': 5.47}
{'loss': 1.8491, 'learning_rate': 7.066030534351145e-05, 'epoch': 5.61}
{'loss': 1.8687, 'learning_rate': 7.043358778625953e-05, 'epoch': 5.75}


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                                               Saving model checkpoint to ./checkpoint-4000
Configuration saved in ./checkpoint-4000/config.json
Model weights saved in ./checkpoint-4000/pytorch_model.bin
Configuration saved in ./checkpoint-4000/preprocessor_config.json
Deleting older checkpoint [checkpoint-2500] due to args.save_total_limit

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 13%|█▎        | 4500/34750 [7:08:20<41:28:24,  4.94s/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
{'eval_loss': 0.6252322196960449, 'eval_wer': 0.5430383569918453, 'eval_runtime': 56.9578, 'eval_samples_per_second': 8.006, 'eval_steps_per_second': 1.001, 'epoch': 5.75}
{'loss': 1.8377, 'learning_rate': 7.020458015267175e-05, 'epoch': 5.9}
{'loss': 1.8436, 'learning_rate': 6.997557251908396e-05, 'epoch': 6.04}
{'loss': 1.7895, 'learning_rate': 6.974656488549617e-05, 'epoch': 6.19}
{'loss': 1.8045, 'learning_rate': 6.951755725190839e-05, 'epoch': 6.33}
{'loss': 1.8186, 'learning_rate': 6.928854961832061e-05, 'epoch': 6.47}


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                                               Saving model checkpoint to ./checkpoint-4500
Configuration saved in ./checkpoint-4500/config.json
Model weights saved in ./checkpoint-4500/pytorch_model.bin
Configuration saved in ./checkpoint-4500/preprocessor_config.json
Deleting older checkpoint [checkpoint-3000] due to args.save_total_limit

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 14%|█▍        | 5000/34750 [7:54:58<36:31:23,  4.42s/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
{'eval_loss': 0.5491229891777039, 'eval_wer': 0.49879190576864996, 'eval_runtime': 56.8943, 'eval_samples_per_second': 8.015, 'eval_steps_per_second': 1.002, 'epoch': 6.47}
{'loss': 1.79, 'learning_rate': 6.905954198473281e-05, 'epoch': 6.62}
{'loss': 1.8018, 'learning_rate': 6.883053435114503e-05, 'epoch': 6.76}
{'loss': 1.7966, 'learning_rate': 6.860152671755724e-05, 'epoch': 6.91}
{'loss': 1.7979, 'learning_rate': 6.837251908396947e-05, 'epoch': 7.05}
{'loss': 1.7364, 'learning_rate': 6.814351145038167e-05, 'epoch': 7.19}


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                                               Saving model checkpoint to ./checkpoint-5000
Configuration saved in ./checkpoint-5000/config.json
Model weights saved in ./checkpoint-5000/pytorch_model.bin
Configuration saved in ./checkpoint-5000/preprocessor_config.json
Deleting older checkpoint [checkpoint-3500] due to args.save_total_limit

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 16%|█▌        | 5500/34750 [8:41:32<36:08:25,  4.45s/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
{'eval_loss': 0.5463064908981323, 'eval_wer': 0.4959226819691936, 'eval_runtime': 56.8201, 'eval_samples_per_second': 8.025, 'eval_steps_per_second': 1.003, 'epoch': 7.19}
{'loss': 1.7467, 'learning_rate': 6.791450381679388e-05, 'epoch': 7.34}
{'loss': 1.7082, 'learning_rate': 6.76854961832061e-05, 'epoch': 7.48}
{'loss': 1.7084, 'learning_rate': 6.745648854961832e-05, 'epoch': 7.63}
{'loss': 1.6732, 'learning_rate': 6.72297709923664e-05, 'epoch': 7.77}
{'loss': 1.6809, 'learning_rate': 6.700076335877863e-05, 'epoch': 7.91}


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                                               Saving model checkpoint to ./checkpoint-5500
Configuration saved in ./checkpoint-5500/config.json
Model weights saved in ./checkpoint-5500/pytorch_model.bin
Configuration saved in ./checkpoint-5500/preprocessor_config.json
Deleting older checkpoint [checkpoint-4000] due to args.save_total_limit

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 17%|█▋        | 6000/34750 [9:27:56<32:24:47,  4.06s/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
{'eval_loss': 0.47242555022239685, 'eval_wer': 0.4483539716097856, 'eval_runtime': 56.3595, 'eval_samples_per_second': 8.091, 'eval_steps_per_second': 1.011, 'epoch': 7.91}
{'loss': 1.7139, 'learning_rate': 6.677175572519083e-05, 'epoch': 8.06}
{'loss': 1.708, 'learning_rate': 6.654274809160304e-05, 'epoch': 8.2}
{'loss': 1.6987, 'learning_rate': 6.631374045801526e-05, 'epoch': 8.34}
{'loss': 1.6705, 'learning_rate': 6.608473282442748e-05, 'epoch': 8.49}
{'loss': 1.641, 'learning_rate': 6.585572519083968e-05, 'epoch': 8.63}


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                                               Saving model checkpoint to ./checkpoint-6000
Configuration saved in ./checkpoint-6000/config.json
Model weights saved in ./checkpoint-6000/pytorch_model.bin
Configuration saved in ./checkpoint-6000/preprocessor_config.json
Deleting older checkpoint [checkpoint-4500] due to args.save_total_limit

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 19%|█▊        | 6500/34750 [10:14:32<29:18:38,  3.74s/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
{'eval_loss': 0.46793004870414734, 'eval_wer': 0.44608879492600423, 'eval_runtime': 56.3201, 'eval_samples_per_second': 8.097, 'eval_steps_per_second': 1.012, 'epoch': 8.63}
{'loss': 1.6277, 'learning_rate': 6.56267175572519e-05, 'epoch': 8.78}
{'loss': 1.6529, 'learning_rate': 6.539770992366411e-05, 'epoch': 8.92}
{'loss': 1.6195, 'learning_rate': 6.516870229007634e-05, 'epoch': 9.06}
{'loss': 1.5983, 'learning_rate': 6.493969465648855e-05, 'epoch': 9.21}
{'loss': 1.572, 'learning_rate': 6.471068702290075e-05, 'epoch': 9.35}


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                                               Saving model checkpoint to ./checkpoint-6500
Configuration saved in ./checkpoint-6500/config.json
Model weights saved in ./checkpoint-6500/pytorch_model.bin
Configuration saved in ./checkpoint-6500/preprocessor_config.json
Deleting older checkpoint [checkpoint-5000] due to args.save_total_limit

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 20%|██        | 7000/34750 [11:01:02<24:30:54,  3.18s/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
{'eval_loss': 0.4386586844921112, 'eval_wer': 0.42358803986710963, 'eval_runtime': 56.3246, 'eval_samples_per_second': 8.096, 'eval_steps_per_second': 1.012, 'epoch': 9.35}
{'loss': 1.5749, 'learning_rate': 6.448167938931296e-05, 'epoch': 9.5}
{'loss': 1.5561, 'learning_rate': 6.425267175572519e-05, 'epoch': 9.64}
{'loss': 1.559, 'learning_rate': 6.40236641221374e-05, 'epoch': 9.78}
{'loss': 1.5419, 'learning_rate': 6.379465648854962e-05, 'epoch': 9.93}
{'loss': 1.5256, 'learning_rate': 6.356564885496182e-05, 'epoch': 10.07}


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                                               Saving model checkpoint to ./checkpoint-7000
Configuration saved in ./checkpoint-7000/config.json
Model weights saved in ./checkpoint-7000/pytorch_model.bin
Configuration saved in ./checkpoint-7000/preprocessor_config.json
Deleting older checkpoint [checkpoint-5500] due to args.save_total_limit

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 22%|██▏       | 7500/34750 [11:47:45<24:01:10,  3.17s/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
{'eval_loss': 0.39700397849082947, 'eval_wer': 0.4003322259136213, 'eval_runtime': 57.819, 'eval_samples_per_second': 7.887, 'eval_steps_per_second': 0.986, 'epoch': 10.07}
{'loss': 1.5122, 'learning_rate': 6.333664122137404e-05, 'epoch': 10.22}
{'loss': 1.4812, 'learning_rate': 6.310763358778626e-05, 'epoch': 10.36}
{'loss': 1.4997, 'learning_rate': 6.287862595419847e-05, 'epoch': 10.5}
{'loss': 1.4933, 'learning_rate': 6.264961832061068e-05, 'epoch': 10.65}
{'loss': 1.5044, 'learning_rate': 6.24206106870229e-05, 'epoch': 10.79}


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                                               Saving model checkpoint to ./checkpoint-7500
Configuration saved in ./checkpoint-7500/config.json
Model weights saved in ./checkpoint-7500/pytorch_model.bin
Configuration saved in ./checkpoint-7500/preprocessor_config.json
Deleting older checkpoint [checkpoint-6000] due to args.save_total_limit

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 23%|██▎       | 8000/34750 [12:34:38<57:20:23,  7.72s/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
{'eval_loss': 0.3689935803413391, 'eval_wer': 0.3893083660525521, 'eval_runtime': 56.6639, 'eval_samples_per_second': 8.047, 'eval_steps_per_second': 1.006, 'epoch': 10.79}
{'loss': 1.475, 'learning_rate': 6.219160305343511e-05, 'epoch': 10.93}
{'loss': 1.4826, 'learning_rate': 6.196259541984733e-05, 'epoch': 11.08}
{'loss': 1.4336, 'learning_rate': 6.173358778625954e-05, 'epoch': 11.22}
{'loss': 1.4338, 'learning_rate': 6.150458015267175e-05, 'epoch': 11.37}
{'loss': 1.4563, 'learning_rate': 6.127557251908397e-05, 'epoch': 11.51}


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                                               Saving model checkpoint to ./checkpoint-8000
Configuration saved in ./checkpoint-8000/config.json
Model weights saved in ./checkpoint-8000/pytorch_model.bin
Configuration saved in ./checkpoint-8000/preprocessor_config.json
Deleting older checkpoint [checkpoint-6500] due to args.save_total_limit

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 24%|██▍       | 8500/34750 [13:21:21<52:28:47,  7.20s/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
{'eval_loss': 0.37522608041763306, 'eval_wer': 0.387496224705527, 'eval_runtime': 56.3933, 'eval_samples_per_second': 8.086, 'eval_steps_per_second': 1.011, 'epoch': 11.51}
{'loss': 1.45, 'learning_rate': 6.104656488549618e-05, 'epoch': 11.65}
{'loss': 1.4476, 'learning_rate': 6.0817557251908386e-05, 'epoch': 11.8}
{'loss': 1.4255, 'learning_rate': 6.0588549618320606e-05, 'epoch': 11.94}
{'loss': 1.4266, 'learning_rate': 6.035954198473282e-05, 'epoch': 12.09}
{'loss': 1.394, 'learning_rate': 6.013053435114503e-05, 'epoch': 12.23}


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                                               Saving model checkpoint to ./checkpoint-8500
Configuration saved in ./checkpoint-8500/config.json
Model weights saved in ./checkpoint-8500/pytorch_model.bin
Configuration saved in ./checkpoint-8500/preprocessor_config.json
Deleting older checkpoint [checkpoint-7000] due to args.save_total_limit

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 26%|██▌       | 9000/34750 [14:07:51<51:38:44,  7.22s/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
{'eval_loss': 0.3385707437992096, 'eval_wer': 0.35668982180610087, 'eval_runtime': 56.4365, 'eval_samples_per_second': 8.08, 'eval_steps_per_second': 1.01, 'epoch': 12.23}
{'loss': 1.4002, 'learning_rate': 5.9901526717557246e-05, 'epoch': 12.37}
{'loss': 1.3823, 'learning_rate': 5.9672519083969466e-05, 'epoch': 12.52}
{'loss': 1.3834, 'learning_rate': 5.944351145038167e-05, 'epoch': 12.66}
{'loss': 1.3765, 'learning_rate': 5.9214503816793886e-05, 'epoch': 12.8}
{'loss': 1.3641, 'learning_rate': 5.89854961832061e-05, 'epoch': 12.95}


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                                               Saving model checkpoint to ./checkpoint-9000
Configuration saved in ./checkpoint-9000/config.json
Model weights saved in ./checkpoint-9000/pytorch_model.bin
Configuration saved in ./checkpoint-9000/preprocessor_config.json
Deleting older checkpoint [checkpoint-7500] due to args.save_total_limit

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 27%|██▋       | 9500/34750 [14:54:33<44:44:30,  6.38s/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
{'eval_loss': 0.3289976716041565, 'eval_wer': 0.346723044397463, 'eval_runtime': 57.6648, 'eval_samples_per_second': 7.908, 'eval_steps_per_second': 0.988, 'epoch': 12.95}
{'loss': 1.3599, 'learning_rate': 5.875648854961832e-05, 'epoch': 13.09}
{'loss': 1.3234, 'learning_rate': 5.8527480916030534e-05, 'epoch': 13.24}
{'loss': 1.3323, 'learning_rate': 5.829847328244274e-05, 'epoch': 13.38}
{'loss': 1.3002, 'learning_rate': 5.8069465648854954e-05, 'epoch': 13.52}
{'loss': 1.2878, 'learning_rate': 5.7840458015267174e-05, 'epoch': 13.67}


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                                               Saving model checkpoint to ./checkpoint-9500
Configuration saved in ./checkpoint-9500/config.json
Model weights saved in ./checkpoint-9500/pytorch_model.bin
Configuration saved in ./checkpoint-9500/preprocessor_config.json
Deleting older checkpoint [checkpoint-8000] due to args.save_total_limit

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 29%|██▉       | 10000/34750 [15:41:19<39:42:07,  5.77s/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
{'eval_loss': 0.28934037685394287, 'eval_wer': 0.31350045303533675, 'eval_runtime': 56.1939, 'eval_samples_per_second': 8.115, 'eval_steps_per_second': 1.014, 'epoch': 13.67}
{'loss': 1.2958, 'learning_rate': 5.761145038167939e-05, 'epoch': 13.81}
{'loss': 1.293, 'learning_rate': 5.73824427480916e-05, 'epoch': 13.96}
{'loss': 1.286, 'learning_rate': 5.715343511450381e-05, 'epoch': 14.1}
{'loss': 1.2912, 'learning_rate': 5.692442748091603e-05, 'epoch': 14.24}
{'loss': 1.2602, 'learning_rate': 5.669541984732824e-05, 'epoch': 14.39}


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                                               Saving model checkpoint to ./checkpoint-10000
Configuration saved in ./checkpoint-10000/config.json
Model weights saved in ./checkpoint-10000/pytorch_model.bin
Configuration saved in ./checkpoint-10000/preprocessor_config.json
Deleting older checkpoint [checkpoint-8500] due to args.save_total_limit

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 30%|███       | 10500/34750 [16:27:56<36:07:52,  5.36s/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
{'eval_loss': 0.2723310589790344, 'eval_wer': 0.30292962851102384, 'eval_runtime': 57.7364, 'eval_samples_per_second': 7.898, 'eval_steps_per_second': 0.987, 'epoch': 14.39}
{'loss': 1.2386, 'learning_rate': 5.6466412213740455e-05, 'epoch': 14.53}
{'loss': 1.247, 'learning_rate': 5.623740458015266e-05, 'epoch': 14.68}
{'loss': 1.2611, 'learning_rate': 5.600839694656488e-05, 'epoch': 14.82}
{'loss': 1.2238, 'learning_rate': 5.5779389312977095e-05, 'epoch': 14.96}
{'loss': 1.2302, 'learning_rate': 5.555038167938931e-05, 'epoch': 15.11}


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                                               Saving model checkpoint to ./checkpoint-10500
Configuration saved in ./checkpoint-10500/config.json
Model weights saved in ./checkpoint-10500/pytorch_model.bin
Configuration saved in ./checkpoint-10500/preprocessor_config.json
Deleting older checkpoint [checkpoint-9000] due to args.save_total_limit

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 32%|███▏      | 11000/34750 [17:14:20<34:34:49,  5.24s/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
{'eval_loss': 0.260337769985199, 'eval_wer': 0.29885231048021743, 'eval_runtime': 56.8447, 'eval_samples_per_second': 8.022, 'eval_steps_per_second': 1.003, 'epoch': 15.11}
{'loss': 1.2119, 'learning_rate': 5.532137404580152e-05, 'epoch': 15.25}
{'loss': 1.205, 'learning_rate': 5.509236641221373e-05, 'epoch': 15.4}
{'loss': 1.1929, 'learning_rate': 5.486335877862595e-05, 'epoch': 15.54}
{'loss': 1.1917, 'learning_rate': 5.463435114503816e-05, 'epoch': 15.68}
{'loss': 1.1865, 'learning_rate': 5.4405343511450376e-05, 'epoch': 15.83}


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                                               Saving model checkpoint to ./checkpoint-11000
Configuration saved in ./checkpoint-11000/config.json
Model weights saved in ./checkpoint-11000/pytorch_model.bin
Configuration saved in ./checkpoint-11000/preprocessor_config.json
Deleting older checkpoint [checkpoint-9500] due to args.save_total_limit

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 33%|███▎      | 11500/34750 [18:00:45<31:37:48,  4.90s/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
{'eval_loss': 0.24401792883872986, 'eval_wer': 0.279371790999698, 'eval_runtime': 56.3786, 'eval_samples_per_second': 8.088, 'eval_steps_per_second': 1.011, 'epoch': 15.83}
{'loss': 1.1634, 'learning_rate': 5.417633587786259e-05, 'epoch': 15.97}
{'loss': 1.162, 'learning_rate': 5.394732824427481e-05, 'epoch': 16.11}
{'loss': 1.1556, 'learning_rate': 5.3718320610687016e-05, 'epoch': 16.26}
{'loss': 1.1432, 'learning_rate': 5.348931297709923e-05, 'epoch': 16.4}
{'loss': 1.1491, 'learning_rate': 5.326030534351144e-05, 'epoch': 16.55}


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                                               Saving model checkpoint to ./checkpoint-11500
Configuration saved in ./checkpoint-11500/config.json
Model weights saved in ./checkpoint-11500/pytorch_model.bin
Configuration saved in ./checkpoint-11500/preprocessor_config.json
Deleting older checkpoint [checkpoint-10000] due to args.save_total_limit

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 35%|███▍      | 12000/34750 [18:47:10<28:14:11,  4.47s/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
{'eval_loss': 0.24998041987419128, 'eval_wer': 0.278767743884023, 'eval_runtime': 57.3291, 'eval_samples_per_second': 7.954, 'eval_steps_per_second': 0.994, 'epoch': 16.55}
{'loss': 1.1351, 'learning_rate': 5.303129770992366e-05, 'epoch': 16.69}
{'loss': 1.1448, 'learning_rate': 5.280458015267176e-05, 'epoch': 16.83}
{'loss': 1.123, 'learning_rate': 5.2575572519083964e-05, 'epoch': 16.98}
{'loss': 1.1066, 'learning_rate': 5.234656488549618e-05, 'epoch': 17.12}
{'loss': 1.093, 'learning_rate': 5.211755725190839e-05, 'epoch': 17.27}


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                                               Saving model checkpoint to ./checkpoint-12000
Configuration saved in ./checkpoint-12000/config.json
Model weights saved in ./checkpoint-12000/pytorch_model.bin
Configuration saved in ./checkpoint-12000/preprocessor_config.json
Deleting older checkpoint [checkpoint-10500] due to args.save_total_limit

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 36%|███▌      | 12500/34750 [19:33:43<26:25:21,  4.28s/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
{'eval_loss': 0.22785192728042603, 'eval_wer': 0.2629115070975536, 'eval_runtime': 57.123, 'eval_samples_per_second': 7.983, 'eval_steps_per_second': 0.998, 'epoch': 17.27}
{'loss': 1.115, 'learning_rate': 5.188854961832061e-05, 'epoch': 17.41}
{'loss': 1.0895, 'learning_rate': 5.1659541984732825e-05, 'epoch': 17.55}
{'loss': 1.0705, 'learning_rate': 5.143053435114503e-05, 'epoch': 17.7}
{'loss': 1.07, 'learning_rate': 5.1201526717557245e-05, 'epoch': 17.84}
{'loss': 1.0367, 'learning_rate': 5.0972519083969465e-05, 'epoch': 17.98}


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                                               Saving model checkpoint to ./checkpoint-12500
Configuration saved in ./checkpoint-12500/config.json
Model weights saved in ./checkpoint-12500/pytorch_model.bin
Configuration saved in ./checkpoint-12500/preprocessor_config.json
Deleting older checkpoint [checkpoint-11000] due to args.save_total_limit

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 37%|███▋      | 13000/34750 [20:20:31<24:42:55,  4.09s/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
{'eval_loss': 0.2076062262058258, 'eval_wer': 0.24433705829054667, 'eval_runtime': 56.1861, 'eval_samples_per_second': 8.116, 'eval_steps_per_second': 1.014, 'epoch': 17.98}
{'loss': 1.0313, 'learning_rate': 5.074351145038168e-05, 'epoch': 18.13}
{'loss': 1.0236, 'learning_rate': 5.051450381679389e-05, 'epoch': 18.27}
{'loss': 1.0035, 'learning_rate': 5.02854961832061e-05, 'epoch': 18.42}
{'loss': 1.0105, 'learning_rate': 5.005648854961831e-05, 'epoch': 18.56}
{'loss': 0.9954, 'learning_rate': 4.982748091603053e-05, 'epoch': 18.7}


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                                               Saving model checkpoint to ./checkpoint-13000
Configuration saved in ./checkpoint-13000/config.json
Model weights saved in ./checkpoint-13000/pytorch_model.bin
Configuration saved in ./checkpoint-13000/preprocessor_config.json
Deleting older checkpoint [checkpoint-11500] due to args.save_total_limit

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 39%|███▉      | 13500/34750 [21:06:56<22:22:01,  3.79s/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
{'eval_loss': 0.18436060845851898, 'eval_wer': 0.22591362126245848, 'eval_runtime': 58.6813, 'eval_samples_per_second': 7.771, 'eval_steps_per_second': 0.971, 'epoch': 18.7}
{'loss': 0.9883, 'learning_rate': 4.9598473282442746e-05, 'epoch': 18.85}
{'loss': 0.9908, 'learning_rate': 4.936946564885495e-05, 'epoch': 18.99}
{'loss': 0.9634, 'learning_rate': 4.9140458015267166e-05, 'epoch': 19.14}
{'loss': 0.9628, 'learning_rate': 4.8911450381679386e-05, 'epoch': 19.28}
{'loss': 0.99, 'learning_rate': 4.86824427480916e-05, 'epoch': 19.42}


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                                               Saving model checkpoint to ./checkpoint-13500
Configuration saved in ./checkpoint-13500/config.json
Model weights saved in ./checkpoint-13500/pytorch_model.bin
Configuration saved in ./checkpoint-13500/preprocessor_config.json
Deleting older checkpoint [checkpoint-12000] due to args.save_total_limit

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 40%|████      | 14000/34750 [21:53:24<18:45:58,  3.26s/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
{'eval_loss': 0.17937178909778595, 'eval_wer': 0.21790999697976443, 'eval_runtime': 57.9354, 'eval_samples_per_second': 7.871, 'eval_steps_per_second': 0.984, 'epoch': 19.42}
{'loss': 0.9627, 'learning_rate': 4.845343511450381e-05, 'epoch': 19.57}
{'loss': 0.969, 'learning_rate': 4.822442748091602e-05, 'epoch': 19.71}
{'loss': 0.9507, 'learning_rate': 4.799541984732824e-05, 'epoch': 19.86}
{'loss': 0.9696, 'learning_rate': 4.776641221374045e-05, 'epoch': 20.0}
{'loss': 0.9385, 'learning_rate': 4.753740458015267e-05, 'epoch': 20.14}


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                                               Saving model checkpoint to ./checkpoint-14000
Configuration saved in ./checkpoint-14000/config.json
Model weights saved in ./checkpoint-14000/pytorch_model.bin
Configuration saved in ./checkpoint-14000/preprocessor_config.json
Deleting older checkpoint [checkpoint-12500] due to args.save_total_limit

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 42%|████▏     | 14500/34750 [22:39:53<18:02:37,  3.21s/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
{'eval_loss': 0.1765013188123703, 'eval_wer': 0.2121715493808517, 'eval_runtime': 56.2969, 'eval_samples_per_second': 8.1, 'eval_steps_per_second': 1.012, 'epoch': 20.14}
{'loss': 0.9264, 'learning_rate': 4.730839694656488e-05, 'epoch': 20.29}
{'loss': 0.9399, 'learning_rate': 4.70793893129771e-05, 'epoch': 20.43}
{'loss': 0.923, 'learning_rate': 4.685038167938931e-05, 'epoch': 20.57}
{'loss': 0.9128, 'learning_rate': 4.662137404580152e-05, 'epoch': 20.72}
{'loss': 0.8952, 'learning_rate': 4.6392366412213734e-05, 'epoch': 20.86}


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                                               Saving model checkpoint to ./checkpoint-14500
Configuration saved in ./checkpoint-14500/config.json
Model weights saved in ./checkpoint-14500/pytorch_model.bin
Configuration saved in ./checkpoint-14500/preprocessor_config.json
Deleting older checkpoint [checkpoint-13000] due to args.save_total_limit

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 43%|████▎     | 15000/34750 [23:26:49<42:30:02,  7.75s/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
{'eval_loss': 0.17056496441364288, 'eval_wer': 0.19737239504681364, 'eval_runtime': 56.9013, 'eval_samples_per_second': 8.014, 'eval_steps_per_second': 1.002, 'epoch': 20.86}
{'loss': 0.9509, 'learning_rate': 4.6163358778625954e-05, 'epoch': 21.01}
{'loss': 0.8967, 'learning_rate': 4.593435114503817e-05, 'epoch': 21.15}
{'loss': 0.8928, 'learning_rate': 4.5705343511450374e-05, 'epoch': 21.29}
{'loss': 0.8731, 'learning_rate': 4.547633587786259e-05, 'epoch': 21.44}
{'loss': 0.8841, 'learning_rate': 4.524732824427481e-05, 'epoch': 21.58}


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                                               Saving model checkpoint to ./checkpoint-15000
Configuration saved in ./checkpoint-15000/config.json
Model weights saved in ./checkpoint-15000/pytorch_model.bin
Configuration saved in ./checkpoint-15000/preprocessor_config.json
Deleting older checkpoint [checkpoint-13500] due to args.save_total_limit

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 45%|████▍     | 15500/34750 [24:13:53<39:00:01,  7.29s/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
{'eval_loss': 0.17911894619464874, 'eval_wer': 0.1969193597100574, 'eval_runtime': 56.4012, 'eval_samples_per_second': 8.085, 'eval_steps_per_second': 1.011, 'epoch': 21.58}
{'loss': 0.8816, 'learning_rate': 4.501832061068702e-05, 'epoch': 21.73}
{'loss': 0.8801, 'learning_rate': 4.4789312977099235e-05, 'epoch': 21.87}
{'loss': 0.9044, 'learning_rate': 4.456030534351144e-05, 'epoch': 22.01}
{'loss': 0.8849, 'learning_rate': 4.433129770992366e-05, 'epoch': 22.16}
{'loss': 0.847, 'learning_rate': 4.4102290076335875e-05, 'epoch': 22.3}


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                                               Saving model checkpoint to ./checkpoint-15500
Configuration saved in ./checkpoint-15500/config.json
Model weights saved in ./checkpoint-15500/pytorch_model.bin
Configuration saved in ./checkpoint-15500/preprocessor_config.json
Deleting older checkpoint [checkpoint-14000] due to args.save_total_limit

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 46%|████▌     | 16000/34750 [25:00:54<33:33:04,  6.44s/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
{'eval_loss': 0.17799803614616394, 'eval_wer': 0.2059800664451827, 'eval_runtime': 57.0716, 'eval_samples_per_second': 7.99, 'eval_steps_per_second': 0.999, 'epoch': 22.3}
{'loss': 0.8805, 'learning_rate': 4.387328244274809e-05, 'epoch': 22.45}
{'loss': 0.8516, 'learning_rate': 4.3644274809160295e-05, 'epoch': 22.59}
{'loss': 0.8137, 'learning_rate': 4.341984732824427e-05, 'epoch': 22.73}
{'loss': 0.8335, 'learning_rate': 4.3190839694656484e-05, 'epoch': 22.88}
{'loss': 0.8669, 'learning_rate': 4.29618320610687e-05, 'epoch': 23.02}


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                                               Saving model checkpoint to ./checkpoint-16000
Configuration saved in ./checkpoint-16000/config.json
Model weights saved in ./checkpoint-16000/pytorch_model.bin
Configuration saved in ./checkpoint-16000/preprocessor_config.json
Deleting older checkpoint [checkpoint-14500] due to args.save_total_limit

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 47%|████▋     | 16500/34750 [25:47:40<32:19:18,  6.38s/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
{'eval_loss': 0.16084039211273193, 'eval_wer': 0.18619752340682574, 'eval_runtime': 58.1201, 'eval_samples_per_second': 7.846, 'eval_steps_per_second': 0.981, 'epoch': 23.02}
{'loss': 0.8242, 'learning_rate': 4.273282442748092e-05, 'epoch': 23.17}
{'loss': 0.8384, 'learning_rate': 4.250381679389313e-05, 'epoch': 23.31}
{'loss': 0.8376, 'learning_rate': 4.227480916030534e-05, 'epoch': 23.45}
{'loss': 0.8277, 'learning_rate': 4.204809160305343e-05, 'epoch': 23.6}
{'loss': 0.8066, 'learning_rate': 4.1819083969465645e-05, 'epoch': 23.74}


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                                               Saving model checkpoint to ./checkpoint-16500
Configuration saved in ./checkpoint-16500/config.json
Model weights saved in ./checkpoint-16500/pytorch_model.bin
Configuration saved in ./checkpoint-16500/preprocessor_config.json
Deleting older checkpoint [checkpoint-15000] due to args.save_total_limit

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 49%|████▉     | 17000/34750 [26:34:35<28:48:55,  5.84s/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
{'eval_loss': 0.14472883939743042, 'eval_wer': 0.16263968589549985, 'eval_runtime': 58.2049, 'eval_samples_per_second': 7.834, 'eval_steps_per_second': 0.979, 'epoch': 23.74}
{'loss': 0.8056, 'learning_rate': 4.159007633587786e-05, 'epoch': 23.88}
{'loss': 0.8128, 'learning_rate': 4.136106870229008e-05, 'epoch': 24.03}
{'loss': 0.8095, 'learning_rate': 4.1132061068702285e-05, 'epoch': 24.17}
{'loss': 0.7816, 'learning_rate': 4.09030534351145e-05, 'epoch': 24.32}
{'loss': 0.7908, 'learning_rate': 4.067404580152671e-05, 'epoch': 24.46}


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                                               Saving model checkpoint to ./checkpoint-17000
Configuration saved in ./checkpoint-17000/config.json
Model weights saved in ./checkpoint-17000/pytorch_model.bin
Configuration saved in ./checkpoint-17000/preprocessor_config.json
Deleting older checkpoint [checkpoint-15500] due to args.save_total_limit

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 50%|█████     | 17500/34750 [27:21:32<25:33:32,  5.33s/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
{'eval_loss': 0.14570841193199158, 'eval_wer': 0.1655089096949562, 'eval_runtime': 56.8345, 'eval_samples_per_second': 8.023, 'eval_steps_per_second': 1.003, 'epoch': 24.46}
{'loss': 0.7846, 'learning_rate': 4.044503816793893e-05, 'epoch': 24.6}
{'loss': 0.7735, 'learning_rate': 4.0216030534351146e-05, 'epoch': 24.75}
{'loss': 0.772, 'learning_rate': 3.998702290076335e-05, 'epoch': 24.89}
{'loss': 0.7676, 'learning_rate': 3.9758015267175566e-05, 'epoch': 25.04}
{'loss': 0.7459, 'learning_rate': 3.9529007633587786e-05, 'epoch': 25.18}


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                                               Saving model checkpoint to ./checkpoint-17500
Configuration saved in ./checkpoint-17500/config.json
Model weights saved in ./checkpoint-17500/pytorch_model.bin
Configuration saved in ./checkpoint-17500/preprocessor_config.json
Deleting older checkpoint [checkpoint-16000] due to args.save_total_limit

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 52%|█████▏    | 18000/34750 [28:08:33<24:56:04,  5.36s/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
{'eval_loss': 0.13501976430416107, 'eval_wer': 0.14451827242524917, 'eval_runtime': 56.9549, 'eval_samples_per_second': 8.006, 'eval_steps_per_second': 1.001, 'epoch': 25.18}
{'loss': 0.7394, 'learning_rate': 3.93e-05, 'epoch': 25.32}
{'loss': 0.727, 'learning_rate': 3.9070992366412206e-05, 'epoch': 25.47}
{'loss': 0.7255, 'learning_rate': 3.884198473282442e-05, 'epoch': 25.61}
{'loss': 0.7122, 'learning_rate': 3.861297709923664e-05, 'epoch': 25.75}
{'loss': 0.7218, 'learning_rate': 3.8383969465648854e-05, 'epoch': 25.9}


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                                               Saving model checkpoint to ./checkpoint-18000
Configuration saved in ./checkpoint-18000/config.json
Model weights saved in ./checkpoint-18000/pytorch_model.bin
Configuration saved in ./checkpoint-18000/preprocessor_config.json
Deleting older checkpoint [checkpoint-16500] due to args.save_total_limit

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 53%|█████▎    | 18500/34750 [28:55:26<21:57:03,  4.86s/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
{'eval_loss': 0.12762019038200378, 'eval_wer': 0.1421020839625491, 'eval_runtime': 56.702, 'eval_samples_per_second': 8.042, 'eval_steps_per_second': 1.005, 'epoch': 25.9}
{'loss': 0.7219, 'learning_rate': 3.815496183206107e-05, 'epoch': 26.04}
{'loss': 0.6954, 'learning_rate': 3.7925954198473274e-05, 'epoch': 26.19}
{'loss': 0.6874, 'learning_rate': 3.7696946564885494e-05, 'epoch': 26.33}
{'loss': 0.6974, 'learning_rate': 3.746793893129771e-05, 'epoch': 26.47}
{'loss': 0.703, 'learning_rate': 3.7241221374045795e-05, 'epoch': 26.62}


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                                               Saving model checkpoint to ./checkpoint-18500
Configuration saved in ./checkpoint-18500/config.json
Model weights saved in ./checkpoint-18500/pytorch_model.bin
Configuration saved in ./checkpoint-18500/preprocessor_config.json
Deleting older checkpoint [checkpoint-17000] due to args.save_total_limit

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 55%|█████▍    | 19000/34750 [29:42:24<19:23:20,  4.43s/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
{'eval_loss': 0.11774259060621262, 'eval_wer': 0.13017215342796737, 'eval_runtime': 58.7528, 'eval_samples_per_second': 7.761, 'eval_steps_per_second': 0.97, 'epoch': 26.62}
{'loss': 0.6976, 'learning_rate': 3.7012213740458015e-05, 'epoch': 26.76}
{'loss': 0.7008, 'learning_rate': 3.678320610687022e-05, 'epoch': 26.91}
{'loss': 0.6815, 'learning_rate': 3.655419847328244e-05, 'epoch': 27.05}
{'loss': 0.6783, 'learning_rate': 3.6325190839694655e-05, 'epoch': 27.19}
{'loss': 0.685, 'learning_rate': 3.609618320610687e-05, 'epoch': 27.34}


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                                               Saving model checkpoint to ./checkpoint-19000
Configuration saved in ./checkpoint-19000/config.json
Model weights saved in ./checkpoint-19000/pytorch_model.bin
Configuration saved in ./checkpoint-19000/preprocessor_config.json
Deleting older checkpoint [checkpoint-17500] due to args.save_total_limit

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 56%|█████▌    | 19500/34750 [30:28:40<17:13:10,  4.06s/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
{'eval_loss': 0.11473936587572098, 'eval_wer': 0.13047417698580488, 'eval_runtime': 56.5545, 'eval_samples_per_second': 8.063, 'eval_steps_per_second': 1.008, 'epoch': 27.34}
{'loss': 0.6828, 'learning_rate': 3.586717557251908e-05, 'epoch': 27.48}
{'loss': 0.6899, 'learning_rate': 3.5638167938931296e-05, 'epoch': 27.63}
{'loss': 0.6889, 'learning_rate': 3.540916030534351e-05, 'epoch': 27.77}
{'loss': 0.689, 'learning_rate': 3.518015267175572e-05, 'epoch': 27.91}
{'loss': 0.6811, 'learning_rate': 3.4951145038167936e-05, 'epoch': 28.06}


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                                               Saving model checkpoint to ./checkpoint-19500
Configuration saved in ./checkpoint-19500/config.json
Model weights saved in ./checkpoint-19500/pytorch_model.bin
Configuration saved in ./checkpoint-19500/preprocessor_config.json
Deleting older checkpoint [checkpoint-18000] due to args.save_total_limit

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 58%|█████▊    | 20000/34750 [31:15:05<16:44:25,  4.09s/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
{'eval_loss': 0.11280036717653275, 'eval_wer': 0.12443370582905466, 'eval_runtime': 57.3287, 'eval_samples_per_second': 7.954, 'eval_steps_per_second': 0.994, 'epoch': 28.06}
{'loss': 0.6599, 'learning_rate': 3.472213740458015e-05, 'epoch': 28.2}
{'loss': 0.655, 'learning_rate': 3.449312977099236e-05, 'epoch': 28.34}
{'loss': 0.6577, 'learning_rate': 3.4264122137404576e-05, 'epoch': 28.49}
{'loss': 0.6562, 'learning_rate': 3.403511450381679e-05, 'epoch': 28.63}
{'loss': 0.6444, 'learning_rate': 3.3806106870229e-05, 'epoch': 28.78}


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                                               Saving model checkpoint to ./checkpoint-20000
Configuration saved in ./checkpoint-20000/config.json
Model weights saved in ./checkpoint-20000/pytorch_model.bin
Configuration saved in ./checkpoint-20000/preprocessor_config.json
Deleting older checkpoint [checkpoint-18500] due to args.save_total_limit

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 59%|█████▉    | 20500/34750 [32:01:30<14:42:10,  3.71s/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
{'eval_loss': 0.11200590431690216, 'eval_wer': 0.1212624584717608, 'eval_runtime': 56.8504, 'eval_samples_per_second': 8.021, 'eval_steps_per_second': 1.003, 'epoch': 28.78}
{'loss': 0.6543, 'learning_rate': 3.357709923664122e-05, 'epoch': 28.92}
{'loss': 0.6337, 'learning_rate': 3.334809160305344e-05, 'epoch': 29.06}
{'loss': 0.613, 'learning_rate': 3.3119083969465644e-05, 'epoch': 29.21}
{'loss': 0.6197, 'learning_rate': 3.2890076335877864e-05, 'epoch': 29.35}
{'loss': 0.6323, 'learning_rate': 3.266106870229007e-05, 'epoch': 29.5}


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                                               Saving model checkpoint to ./checkpoint-20500
Configuration saved in ./checkpoint-20500/config.json
Model weights saved in ./checkpoint-20500/pytorch_model.bin
Configuration saved in ./checkpoint-20500/preprocessor_config.json
Deleting older checkpoint [checkpoint-19000] due to args.save_total_limit

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 60%|██████    | 21000/34750 [32:47:52<12:10:25,  3.19s/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
{'eval_loss': 0.11374162137508392, 'eval_wer': 0.11658109332527937, 'eval_runtime': 56.3556, 'eval_samples_per_second': 8.091, 'eval_steps_per_second': 1.011, 'epoch': 29.5}
{'loss': 0.6182, 'learning_rate': 3.243206106870229e-05, 'epoch': 29.64}
{'loss': 0.6298, 'learning_rate': 3.2203053435114504e-05, 'epoch': 29.78}
{'loss': 0.6143, 'learning_rate': 3.197404580152672e-05, 'epoch': 29.93}
{'loss': 0.5943, 'learning_rate': 3.174503816793893e-05, 'epoch': 30.07}
{'loss': 0.5998, 'learning_rate': 3.1516030534351145e-05, 'epoch': 30.22}


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                                               Saving model checkpoint to ./checkpoint-21000
Configuration saved in ./checkpoint-21000/config.json
Model weights saved in ./checkpoint-21000/pytorch_model.bin
Configuration saved in ./checkpoint-21000/preprocessor_config.json
Deleting older checkpoint [checkpoint-19500] due to args.save_total_limit

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 62%|██████▏   | 21500/34750 [33:34:24<11:33:20,  3.14s/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
{'eval_loss': 0.10512539744377136, 'eval_wer': 0.1106916339474479, 'eval_runtime': 56.712, 'eval_samples_per_second': 8.041, 'eval_steps_per_second': 1.005, 'epoch': 30.22}
{'loss': 0.6093, 'learning_rate': 3.128702290076336e-05, 'epoch': 30.36}
{'loss': 0.5948, 'learning_rate': 3.1058015267175565e-05, 'epoch': 30.5}
{'loss': 0.5847, 'learning_rate': 3.0829007633587785e-05, 'epoch': 30.65}
{'loss': 0.5768, 'learning_rate': 3.06e-05, 'epoch': 30.79}
{'loss': 0.5706, 'learning_rate': 3.0370992366412212e-05, 'epoch': 30.93}


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                                               Saving model checkpoint to ./checkpoint-21500
Configuration saved in ./checkpoint-21500/config.json
Model weights saved in ./checkpoint-21500/pytorch_model.bin
Configuration saved in ./checkpoint-21500/preprocessor_config.json
Deleting older checkpoint [checkpoint-20000] due to args.save_total_limit

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 63%|██████▎   | 22000/34750 [34:21:27<26:58:12,  7.62s/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
{'eval_loss': 0.1035308688879013, 'eval_wer': 0.10374509211718513, 'eval_runtime': 56.4523, 'eval_samples_per_second': 8.078, 'eval_steps_per_second': 1.01, 'epoch': 30.93}
{'loss': 0.5819, 'learning_rate': 3.0141984732824422e-05, 'epoch': 31.08}
{'loss': 0.5529, 'learning_rate': 2.991297709923664e-05, 'epoch': 31.22}
{'loss': 0.5691, 'learning_rate': 2.9683969465648852e-05, 'epoch': 31.37}
{'loss': 0.5622, 'learning_rate': 2.9454961832061066e-05, 'epoch': 31.51}
{'loss': 0.5555, 'learning_rate': 2.922595419847328e-05, 'epoch': 31.65}


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                                               Saving model checkpoint to ./checkpoint-22000
Configuration saved in ./checkpoint-22000/config.json
Model weights saved in ./checkpoint-22000/pytorch_model.bin
Configuration saved in ./checkpoint-22000/preprocessor_config.json
Deleting older checkpoint [checkpoint-20500] due to args.save_total_limit

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 65%|██████▍   | 22500/34750 [35:08:01<24:23:32,  7.17s/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
{'eval_loss': 0.10311654210090637, 'eval_wer': 0.09272123225611598, 'eval_runtime': 56.2781, 'eval_samples_per_second': 8.103, 'eval_steps_per_second': 1.013, 'epoch': 31.65}
{'loss': 0.5697, 'learning_rate': 2.8996946564885493e-05, 'epoch': 31.8}
{'loss': 0.5567, 'learning_rate': 2.8767938931297706e-05, 'epoch': 31.94}
{'loss': 0.5562, 'learning_rate': 2.8538931297709923e-05, 'epoch': 32.09}
{'loss': 0.5482, 'learning_rate': 2.8309923664122133e-05, 'epoch': 32.23}
{'loss': 0.5389, 'learning_rate': 2.808091603053435e-05, 'epoch': 32.37}


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                                               Saving model checkpoint to ./checkpoint-22500
Configuration saved in ./checkpoint-22500/config.json
Model weights saved in ./checkpoint-22500/pytorch_model.bin
Configuration saved in ./checkpoint-22500/preprocessor_config.json
Deleting older checkpoint [checkpoint-21000] due to args.save_total_limit

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 66%|██████▌   | 23000/34750 [35:54:42<20:47:41,  6.37s/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
{'eval_loss': 0.09973499178886414, 'eval_wer': 0.09000302023557838, 'eval_runtime': 56.482, 'eval_samples_per_second': 8.073, 'eval_steps_per_second': 1.009, 'epoch': 32.37}
{'loss': 0.5398, 'learning_rate': 2.785419847328244e-05, 'epoch': 32.52}
{'loss': 0.5284, 'learning_rate': 2.7625190839694654e-05, 'epoch': 32.66}
{'loss': 0.5292, 'learning_rate': 2.739618320610687e-05, 'epoch': 32.8}
{'loss': 0.5186, 'learning_rate': 2.716717557251908e-05, 'epoch': 32.95}
{'loss': 0.5201, 'learning_rate': 2.6938167938931298e-05, 'epoch': 33.09}


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                                               Saving model checkpoint to ./checkpoint-23000
Configuration saved in ./checkpoint-23000/config.json
Model weights saved in ./checkpoint-23000/pytorch_model.bin
Configuration saved in ./checkpoint-23000/preprocessor_config.json
Deleting older checkpoint [checkpoint-21500] due to args.save_total_limit

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 68%|██████▊   | 23500/34750 [36:41:08<19:56:50,  6.38s/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
{'eval_loss': 0.09196200966835022, 'eval_wer': 0.09121111446692842, 'eval_runtime': 56.8421, 'eval_samples_per_second': 8.022, 'eval_steps_per_second': 1.003, 'epoch': 33.09}
{'loss': 0.5205, 'learning_rate': 2.6709160305343508e-05, 'epoch': 33.24}
{'loss': 0.5247, 'learning_rate': 2.648015267175572e-05, 'epoch': 33.38}
{'loss': 0.5156, 'learning_rate': 2.6251145038167938e-05, 'epoch': 33.52}
{'loss': 0.5125, 'learning_rate': 2.6022137404580148e-05, 'epoch': 33.67}
{'loss': 0.5146, 'learning_rate': 2.5793129770992365e-05, 'epoch': 33.81}


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                                               Saving model checkpoint to ./checkpoint-23500
Configuration saved in ./checkpoint-23500/config.json
Model weights saved in ./checkpoint-23500/pytorch_model.bin
Configuration saved in ./checkpoint-23500/preprocessor_config.json
Deleting older checkpoint [checkpoint-22000] due to args.save_total_limit

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 69%|██████▉   | 24000/34750 [37:27:44<17:18:23,  5.80s/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
{'eval_loss': 0.09293542802333832, 'eval_wer': 0.0946843853820598, 'eval_runtime': 57.2076, 'eval_samples_per_second': 7.971, 'eval_steps_per_second': 0.996, 'epoch': 33.81}
{'loss': 0.5085, 'learning_rate': 2.5564122137404575e-05, 'epoch': 33.96}
{'loss': 0.5173, 'learning_rate': 2.5335114503816792e-05, 'epoch': 34.1}
{'loss': 0.5101, 'learning_rate': 2.5106106870229002e-05, 'epoch': 34.24}
{'loss': 0.5056, 'learning_rate': 2.487709923664122e-05, 'epoch': 34.39}
{'loss': 0.515, 'learning_rate': 2.4648091603053432e-05, 'epoch': 34.53}


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                                               Saving model checkpoint to ./checkpoint-24000
Configuration saved in ./checkpoint-24000/config.json
Model weights saved in ./checkpoint-24000/pytorch_model.bin
Configuration saved in ./checkpoint-24000/preprocessor_config.json
Deleting older checkpoint [checkpoint-22500] due to args.save_total_limit

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 71%|███████   | 24500/34750 [38:14:18<15:00:14,  5.27s/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
{'eval_loss': 0.10004792362451553, 'eval_wer': 0.09528843249773482, 'eval_runtime': 56.2386, 'eval_samples_per_second': 8.108, 'eval_steps_per_second': 1.014, 'epoch': 34.53}
{'loss': 0.5211, 'learning_rate': 2.4419083969465646e-05, 'epoch': 34.68}
{'loss': 0.5065, 'learning_rate': 2.419007633587786e-05, 'epoch': 34.82}
{'loss': 0.4992, 'learning_rate': 2.3961068702290076e-05, 'epoch': 34.96}
{'loss': 0.495, 'learning_rate': 2.3732061068702286e-05, 'epoch': 35.11}
{'loss': 0.4743, 'learning_rate': 2.3503053435114503e-05, 'epoch': 35.25}


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                                               Saving model checkpoint to ./checkpoint-24500
Configuration saved in ./checkpoint-24500/config.json
Model weights saved in ./checkpoint-24500/pytorch_model.bin
Configuration saved in ./checkpoint-24500/preprocessor_config.json
Deleting older checkpoint [checkpoint-23000] due to args.save_total_limit

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 72%|███████▏  | 25000/34750 [39:00:46<13:49:28,  5.10s/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
{'eval_loss': 0.09216006845235825, 'eval_wer': 0.0892479613409846, 'eval_runtime': 56.5494, 'eval_samples_per_second': 8.064, 'eval_steps_per_second': 1.008, 'epoch': 35.25}
{'loss': 0.4769, 'learning_rate': 2.3274045801526713e-05, 'epoch': 35.4}
{'loss': 0.4774, 'learning_rate': 2.304503816793893e-05, 'epoch': 35.54}
{'loss': 0.487, 'learning_rate': 2.28206106870229e-05, 'epoch': 35.68}
{'loss': 0.4797, 'learning_rate': 2.259160305343511e-05, 'epoch': 35.83}
{'loss': 0.4707, 'learning_rate': 2.2362595419847328e-05, 'epoch': 35.97}


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                                               Saving model checkpoint to ./checkpoint-25000
Configuration saved in ./checkpoint-25000/config.json
Model weights saved in ./checkpoint-25000/pytorch_model.bin
Configuration saved in ./checkpoint-25000/preprocessor_config.json
Deleting older checkpoint [checkpoint-23500] due to args.save_total_limit

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 73%|███████▎  | 25500/34750 [39:47:25<12:36:48,  4.91s/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
{'eval_loss': 0.08524981886148453, 'eval_wer': 0.08079130172153429, 'eval_runtime': 56.8651, 'eval_samples_per_second': 8.019, 'eval_steps_per_second': 1.002, 'epoch': 35.97}
{'loss': 0.4668, 'learning_rate': 2.2133587786259538e-05, 'epoch': 36.11}
{'loss': 0.476, 'learning_rate': 2.1904580152671755e-05, 'epoch': 36.26}
{'loss': 0.4609, 'learning_rate': 2.167557251908397e-05, 'epoch': 36.4}
{'loss': 0.4605, 'learning_rate': 2.1446564885496182e-05, 'epoch': 36.55}
{'loss': 0.4456, 'learning_rate': 2.1217557251908395e-05, 'epoch': 36.69}


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                                               Saving model checkpoint to ./checkpoint-25500
Configuration saved in ./checkpoint-25500/config.json
Model weights saved in ./checkpoint-25500/pytorch_model.bin
Configuration saved in ./checkpoint-25500/preprocessor_config.json
Deleting older checkpoint [checkpoint-24000] due to args.save_total_limit

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 75%|███████▍  | 26000/34750 [40:33:47<10:46:31,  4.43s/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
{'eval_loss': 0.08548382669687271, 'eval_wer': 0.07792207792207792, 'eval_runtime': 56.4053, 'eval_samples_per_second': 8.084, 'eval_steps_per_second': 1.011, 'epoch': 36.69}
{'loss': 0.4515, 'learning_rate': 2.098854961832061e-05, 'epoch': 36.83}
{'loss': 0.4426, 'learning_rate': 2.0759541984732822e-05, 'epoch': 36.98}
{'loss': 0.4491, 'learning_rate': 2.053053435114504e-05, 'epoch': 37.12}
{'loss': 0.4464, 'learning_rate': 2.030152671755725e-05, 'epoch': 37.27}
{'loss': 0.443, 'learning_rate': 2.0072519083969466e-05, 'epoch': 37.41}


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                                               Saving model checkpoint to ./checkpoint-26000
Configuration saved in ./checkpoint-26000/config.json
Model weights saved in ./checkpoint-26000/pytorch_model.bin
Configuration saved in ./checkpoint-26000/preprocessor_config.json
Deleting older checkpoint [checkpoint-24500] due to args.save_total_limit

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 76%|███████▋  | 26500/34750 [41:20:19<9:28:24,  4.13s/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
{'eval_loss': 0.0842847004532814, 'eval_wer': 0.07384475989127152, 'eval_runtime': 56.5582, 'eval_samples_per_second': 8.062, 'eval_steps_per_second': 1.008, 'epoch': 37.41}
{'loss': 0.4381, 'learning_rate': 1.9843511450381676e-05, 'epoch': 37.55}
{'loss': 0.4311, 'learning_rate': 1.9614503816793893e-05, 'epoch': 37.7}
{'loss': 0.4413, 'learning_rate': 1.9385496183206106e-05, 'epoch': 37.84}
{'loss': 0.4186, 'learning_rate': 1.915648854961832e-05, 'epoch': 37.98}
{'loss': 0.4388, 'learning_rate': 1.8927480916030533e-05, 'epoch': 38.13}


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                                               Saving model checkpoint to ./checkpoint-26500
Configuration saved in ./checkpoint-26500/config.json
Model weights saved in ./checkpoint-26500/pytorch_model.bin
Configuration saved in ./checkpoint-26500/preprocessor_config.json
Deleting older checkpoint [checkpoint-25000] due to args.save_total_limit

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 78%|███████▊  | 27000/34750 [42:06:49<8:44:34,  4.06s/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
{'eval_loss': 0.081607885658741, 'eval_wer': 0.06991845363938387, 'eval_runtime': 56.5857, 'eval_samples_per_second': 8.059, 'eval_steps_per_second': 1.007, 'epoch': 38.13}
{'loss': 0.4181, 'learning_rate': 1.8698473282442747e-05, 'epoch': 38.27}
{'loss': 0.4338, 'learning_rate': 1.846946564885496e-05, 'epoch': 38.42}
{'loss': 0.4186, 'learning_rate': 1.8240458015267174e-05, 'epoch': 38.56}
{'loss': 0.4169, 'learning_rate': 1.8011450381679387e-05, 'epoch': 38.7}
{'loss': 0.4162, 'learning_rate': 1.77824427480916e-05, 'epoch': 38.85}


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                                               Saving model checkpoint to ./checkpoint-27000
Configuration saved in ./checkpoint-27000/config.json
Model weights saved in ./checkpoint-27000/pytorch_model.bin
Configuration saved in ./checkpoint-27000/preprocessor_config.json
Deleting older checkpoint [checkpoint-25500] due to args.save_total_limit

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 79%|███████▉  | 27500/34750 [42:53:06<7:29:27,  3.72s/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
{'eval_loss': 0.07516241818666458, 'eval_wer': 0.06448202959830866, 'eval_runtime': 56.61, 'eval_samples_per_second': 8.055, 'eval_steps_per_second': 1.007, 'epoch': 38.85}
{'loss': 0.4076, 'learning_rate': 1.7553435114503814e-05, 'epoch': 38.99}
{'loss': 0.4073, 'learning_rate': 1.7324427480916027e-05, 'epoch': 39.14}
{'loss': 0.4042, 'learning_rate': 1.7095419847328244e-05, 'epoch': 39.28}
{'loss': 0.4035, 'learning_rate': 1.6866412213740458e-05, 'epoch': 39.42}
{'loss': 0.3979, 'learning_rate': 1.663740458015267e-05, 'epoch': 39.57}


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                                               Saving model checkpoint to ./checkpoint-27500
Configuration saved in ./checkpoint-27500/config.json
Model weights saved in ./checkpoint-27500/pytorch_model.bin
Configuration saved in ./checkpoint-27500/preprocessor_config.json
Deleting older checkpoint [checkpoint-26000] due to args.save_total_limit

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 81%|████████  | 28000/34750 [43:39:30<6:05:53,  3.25s/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
{'eval_loss': 0.07611743360757828, 'eval_wer': 0.062065841135608577, 'eval_runtime': 56.1996, 'eval_samples_per_second': 8.114, 'eval_steps_per_second': 1.014, 'epoch': 39.57}
{'loss': 0.3923, 'learning_rate': 1.6408396946564885e-05, 'epoch': 39.71}
{'loss': 0.395, 'learning_rate': 1.6179389312977098e-05, 'epoch': 39.86}
{'loss': 0.3931, 'learning_rate': 1.595038167938931e-05, 'epoch': 40.0}
{'loss': 0.3969, 'learning_rate': 1.5721374045801525e-05, 'epoch': 40.14}
{'loss': 0.3889, 'learning_rate': 1.549236641221374e-05, 'epoch': 40.29}


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                                               Saving model checkpoint to ./checkpoint-28000
Configuration saved in ./checkpoint-28000/config.json
Model weights saved in ./checkpoint-28000/pytorch_model.bin
Configuration saved in ./checkpoint-28000/preprocessor_config.json
Deleting older checkpoint [checkpoint-26500] due to args.save_total_limit

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 82%|████████▏ | 28500/34750 [44:26:27<13:56:01,  8.03s/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
{'eval_loss': 0.07714105397462845, 'eval_wer': 0.06251887647236484, 'eval_runtime': 56.3655, 'eval_samples_per_second': 8.09, 'eval_steps_per_second': 1.011, 'epoch': 40.29}
{'loss': 0.387, 'learning_rate': 1.5263358778625952e-05, 'epoch': 40.43}
{'loss': 0.3911, 'learning_rate': 1.5034351145038167e-05, 'epoch': 40.57}
{'loss': 0.3865, 'learning_rate': 1.480534351145038e-05, 'epoch': 40.72}
{'loss': 0.382, 'learning_rate': 1.4576335877862594e-05, 'epoch': 40.86}
{'loss': 0.3923, 'learning_rate': 1.4347328244274809e-05, 'epoch': 41.01}


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                                               Saving model checkpoint to ./checkpoint-28500
Configuration saved in ./checkpoint-28500/config.json
Model weights saved in ./checkpoint-28500/pytorch_model.bin
Configuration saved in ./checkpoint-28500/preprocessor_config.json
Deleting older checkpoint [checkpoint-27000] due to args.save_total_limit

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 83%|████████▎ | 29000/34750 [45:13:22<12:30:12,  7.83s/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
{'eval_loss': 0.07554154098033905, 'eval_wer': 0.059800664451827246, 'eval_runtime': 57.0575, 'eval_samples_per_second': 7.992, 'eval_steps_per_second': 0.999, 'epoch': 41.01}
{'loss': 0.3723, 'learning_rate': 1.4118320610687023e-05, 'epoch': 41.15}
{'loss': 0.3797, 'learning_rate': 1.3889312977099236e-05, 'epoch': 41.29}
{'loss': 0.3823, 'learning_rate': 1.3662595419847327e-05, 'epoch': 41.44}
{'loss': 0.3691, 'learning_rate': 1.343358778625954e-05, 'epoch': 41.58}
{'loss': 0.3693, 'learning_rate': 1.3204580152671754e-05, 'epoch': 41.73}


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                                               Saving model checkpoint to ./checkpoint-29000
Configuration saved in ./checkpoint-29000/config.json
Model weights saved in ./checkpoint-29000/pytorch_model.bin
Configuration saved in ./checkpoint-29000/preprocessor_config.json
Deleting older checkpoint [checkpoint-27500] due to args.save_total_limit

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 85%|████████▍ | 29500/34750 [46:00:29<10:43:35,  7.36s/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
{'eval_loss': 0.07298705726861954, 'eval_wer': 0.05783751132588342, 'eval_runtime': 59.4935, 'eval_samples_per_second': 7.665, 'eval_steps_per_second': 0.958, 'epoch': 41.73}
{'loss': 0.3739, 'learning_rate': 1.2975572519083969e-05, 'epoch': 41.87}
{'loss': 0.3797, 'learning_rate': 1.2746564885496182e-05, 'epoch': 42.01}
{'loss': 0.3704, 'learning_rate': 1.2517557251908396e-05, 'epoch': 42.16}
{'loss': 0.3702, 'learning_rate': 1.2288549618320609e-05, 'epoch': 42.3}
{'loss': 0.3642, 'learning_rate': 1.2059541984732823e-05, 'epoch': 42.45}


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                                               Saving model checkpoint to ./checkpoint-29500
Configuration saved in ./checkpoint-29500/config.json
Model weights saved in ./checkpoint-29500/pytorch_model.bin
Configuration saved in ./checkpoint-29500/preprocessor_config.json
Deleting older checkpoint [checkpoint-28000] due to args.save_total_limit

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 86%|████████▋ | 30000/34750 [46:46:55<8:19:13,  6.31s/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
{'eval_loss': 0.07388342171907425, 'eval_wer': 0.059800664451827246, 'eval_runtime': 56.6481, 'eval_samples_per_second': 8.05, 'eval_steps_per_second': 1.006, 'epoch': 42.45}
{'loss': 0.3665, 'learning_rate': 1.1830534351145038e-05, 'epoch': 42.59}
{'loss': 0.3626, 'learning_rate': 1.1601526717557251e-05, 'epoch': 42.73}
{'loss': 0.3499, 'learning_rate': 1.1372519083969465e-05, 'epoch': 42.88}
{'loss': 0.3632, 'learning_rate': 1.1143511450381678e-05, 'epoch': 43.02}
{'loss': 0.3532, 'learning_rate': 1.0914503816793893e-05, 'epoch': 43.17}


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                                               Saving model checkpoint to ./checkpoint-30000
Configuration saved in ./checkpoint-30000/config.json
Model weights saved in ./checkpoint-30000/pytorch_model.bin
Configuration saved in ./checkpoint-30000/preprocessor_config.json
Deleting older checkpoint [checkpoint-28500] due to args.save_total_limit

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 88%|████████▊ | 30500/34750 [47:33:21<7:38:36,  6.47s/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
{'eval_loss': 0.07121992111206055, 'eval_wer': 0.05527031108426457, 'eval_runtime': 57.0783, 'eval_samples_per_second': 7.989, 'eval_steps_per_second': 0.999, 'epoch': 43.17}
{'loss': 0.3531, 'learning_rate': 1.0685496183206107e-05, 'epoch': 43.31}
{'loss': 0.361, 'learning_rate': 1.045648854961832e-05, 'epoch': 43.45}
{'loss': 0.3508, 'learning_rate': 1.0227480916030534e-05, 'epoch': 43.6}
{'loss': 0.352, 'learning_rate': 9.998473282442747e-06, 'epoch': 43.74}
{'loss': 0.3513, 'learning_rate': 9.769465648854962e-06, 'epoch': 43.88}


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                                               Saving model checkpoint to ./checkpoint-30500
Configuration saved in ./checkpoint-30500/config.json
Model weights saved in ./checkpoint-30500/pytorch_model.bin
Configuration saved in ./checkpoint-30500/preprocessor_config.json
Deleting older checkpoint [checkpoint-29000] due to args.save_total_limit

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 89%|████████▉ | 31000/34750 [48:19:54<5:56:53,  5.71s/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
{'eval_loss': 0.07616806775331497, 'eval_wer': 0.051646028390214434, 'eval_runtime': 56.3541, 'eval_samples_per_second': 8.092, 'eval_steps_per_second': 1.011, 'epoch': 43.88}
{'loss': 0.3447, 'learning_rate': 9.540458015267176e-06, 'epoch': 44.03}
{'loss': 0.3463, 'learning_rate': 9.311450381679389e-06, 'epoch': 44.17}
{'loss': 0.3373, 'learning_rate': 9.082442748091603e-06, 'epoch': 44.32}
{'loss': 0.3419, 'learning_rate': 8.855725190839693e-06, 'epoch': 44.46}
{'loss': 0.3349, 'learning_rate': 8.626717557251907e-06, 'epoch': 44.6}


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                                               Saving model checkpoint to ./checkpoint-31000
Configuration saved in ./checkpoint-31000/config.json
Model weights saved in ./checkpoint-31000/pytorch_model.bin
Configuration saved in ./checkpoint-31000/preprocessor_config.json
Deleting older checkpoint [checkpoint-29500] due to args.save_total_limit

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 91%|█████████ | 31500/34750 [49:06:24<4:46:01,  5.28s/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
{'eval_loss': 0.07309506088495255, 'eval_wer': 0.05043793415886439, 'eval_runtime': 56.1703, 'eval_samples_per_second': 8.118, 'eval_steps_per_second': 1.015, 'epoch': 44.6}
{'loss': 0.3352, 'learning_rate': 8.397709923664122e-06, 'epoch': 44.75}
{'loss': 0.3376, 'learning_rate': 8.168702290076335e-06, 'epoch': 44.89}
{'loss': 0.3361, 'learning_rate': 7.939694656488549e-06, 'epoch': 45.04}
{'loss': 0.3318, 'learning_rate': 7.710687022900762e-06, 'epoch': 45.18}
{'loss': 0.3305, 'learning_rate': 7.4816793893129765e-06, 'epoch': 45.32}


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                                               Saving model checkpoint to ./checkpoint-31500
Configuration saved in ./checkpoint-31500/config.json
Model weights saved in ./checkpoint-31500/pytorch_model.bin
Configuration saved in ./checkpoint-31500/preprocessor_config.json
Deleting older checkpoint [checkpoint-30000] due to args.save_total_limit

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 92%|█████████▏| 32000/34750 [49:53:05<3:49:00,  5.00s/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
{'eval_loss': 0.0724666640162468, 'eval_wer': 0.0507399577167019, 'eval_runtime': 58.1784, 'eval_samples_per_second': 7.838, 'eval_steps_per_second': 0.98, 'epoch': 45.32}
{'loss': 0.3218, 'learning_rate': 7.25267175572519e-06, 'epoch': 45.47}
{'loss': 0.3254, 'learning_rate': 7.0259541984732824e-06, 'epoch': 45.61}
{'loss': 0.3256, 'learning_rate': 6.799236641221373e-06, 'epoch': 45.75}
{'loss': 0.3198, 'learning_rate': 6.570229007633587e-06, 'epoch': 45.9}
{'loss': 0.3285, 'learning_rate': 6.341221374045801e-06, 'epoch': 46.04}


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                                               Saving model checkpoint to ./checkpoint-32000
Configuration saved in ./checkpoint-32000/config.json
Model weights saved in ./checkpoint-32000/pytorch_model.bin
Configuration saved in ./checkpoint-32000/preprocessor_config.json
Deleting older checkpoint [checkpoint-30500] due to args.save_total_limit

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 94%|█████████▎| 32500/34750 [50:39:37<2:58:26,  4.76s/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
{'eval_loss': 0.07090699672698975, 'eval_wer': 0.04892781636967684, 'eval_runtime': 59.4451, 'eval_samples_per_second': 7.671, 'eval_steps_per_second': 0.959, 'epoch': 46.04}
{'loss': 0.323, 'learning_rate': 6.112213740458014e-06, 'epoch': 46.19}
{'loss': 0.3175, 'learning_rate': 5.883206106870229e-06, 'epoch': 46.33}
{'loss': 0.3191, 'learning_rate': 5.654198473282442e-06, 'epoch': 46.47}
{'loss': 0.313, 'learning_rate': 5.425190839694656e-06, 'epoch': 46.62}
{'loss': 0.3179, 'learning_rate': 5.19618320610687e-06, 'epoch': 46.76}


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                                               Saving model checkpoint to ./checkpoint-32500
Configuration saved in ./checkpoint-32500/config.json
Model weights saved in ./checkpoint-32500/pytorch_model.bin
Configuration saved in ./checkpoint-32500/preprocessor_config.json
Deleting older checkpoint [checkpoint-31000] due to args.save_total_limit

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 95%|█████████▍| 33000/34750 [51:26:12<2:11:37,  4.51s/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
{'eval_loss': 0.06665544956922531, 'eval_wer': 0.0466626396858955, 'eval_runtime': 56.3776, 'eval_samples_per_second': 8.088, 'eval_steps_per_second': 1.011, 'epoch': 46.76}
{'loss': 0.316, 'learning_rate': 4.967175572519083e-06, 'epoch': 46.91}
{'loss': 0.3107, 'learning_rate': 4.738167938931298e-06, 'epoch': 47.05}
{'loss': 0.3094, 'learning_rate': 4.509160305343511e-06, 'epoch': 47.19}
{'loss': 0.3161, 'learning_rate': 4.2801526717557246e-06, 'epoch': 47.34}
{'loss': 0.3158, 'learning_rate': 4.051145038167939e-06, 'epoch': 47.48}


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                                               Saving model checkpoint to ./checkpoint-33000
Configuration saved in ./checkpoint-33000/config.json
Model weights saved in ./checkpoint-33000/pytorch_model.bin
Configuration saved in ./checkpoint-33000/preprocessor_config.json
Deleting older checkpoint [checkpoint-31500] due to args.save_total_limit

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 96%|█████████▋| 33500/34750 [52:12:34<1:24:06,  4.04s/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
{'eval_loss': 0.06528327614068985, 'eval_wer': 0.0493808517064331, 'eval_runtime': 56.0724, 'eval_samples_per_second': 8.132, 'eval_steps_per_second': 1.017, 'epoch': 47.48}
{'loss': 0.3153, 'learning_rate': 3.822137404580152e-06, 'epoch': 47.63}
{'loss': 0.3005, 'learning_rate': 3.593129770992366e-06, 'epoch': 47.77}
{'loss': 0.3089, 'learning_rate': 3.36412213740458e-06, 'epoch': 47.91}
{'loss': 0.3068, 'learning_rate': 3.135114503816794e-06, 'epoch': 48.06}
{'loss': 0.3033, 'learning_rate': 2.906106870229007e-06, 'epoch': 48.2}


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                                               Saving model checkpoint to ./checkpoint-33500
Configuration saved in ./checkpoint-33500/config.json
Model weights saved in ./checkpoint-33500/pytorch_model.bin
Configuration saved in ./checkpoint-33500/preprocessor_config.json
Deleting older checkpoint [checkpoint-32000] due to args.save_total_limit

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 98%|█████████▊| 34000/34750 [52:59:13<50:31,  4.04s/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
{'eval_loss': 0.06382497400045395, 'eval_wer': 0.04560555723346421, 'eval_runtime': 57.4782, 'eval_samples_per_second': 7.933, 'eval_steps_per_second': 0.992, 'epoch': 48.2}
{'loss': 0.3039, 'learning_rate': 2.677099236641221e-06, 'epoch': 48.34}
{'loss': 0.2983, 'learning_rate': 2.4480916030534347e-06, 'epoch': 48.49}
{'loss': 0.3069, 'learning_rate': 2.219083969465649e-06, 'epoch': 48.63}
{'loss': 0.2987, 'learning_rate': 1.9900763358778624e-06, 'epoch': 48.78}
{'loss': 0.3023, 'learning_rate': 1.761068702290076e-06, 'epoch': 48.92}


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                                               Saving model checkpoint to ./checkpoint-34000
Configuration saved in ./checkpoint-34000/config.json
Model weights saved in ./checkpoint-34000/pytorch_model.bin
Configuration saved in ./checkpoint-34000/preprocessor_config.json
Deleting older checkpoint [checkpoint-32500] due to args.save_total_limit

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 99%|█████████▉| 34500/34750 [53:45:49<15:48,  3.79s/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
{'eval_loss': 0.06439350545406342, 'eval_wer': 0.04636061612805799, 'eval_runtime': 56.5994, 'eval_samples_per_second': 8.057, 'eval_steps_per_second': 1.007, 'epoch': 48.92}
{'loss': 0.2919, 'learning_rate': 1.53206106870229e-06, 'epoch': 49.06}
{'loss': 0.2912, 'learning_rate': 1.3030534351145036e-06, 'epoch': 49.21}
{'loss': 0.3036, 'learning_rate': 1.0740458015267175e-06, 'epoch': 49.35}
{'loss': 0.3025, 'learning_rate': 8.450381679389312e-07, 'epoch': 49.5}
{'loss': 0.2975, 'learning_rate': 6.160305343511449e-07, 'epoch': 49.64}


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                                               Saving model checkpoint to ./checkpoint-34500
Configuration saved in ./checkpoint-34500/config.json
Model weights saved in ./checkpoint-34500/pytorch_model.bin
Configuration saved in ./checkpoint-34500/preprocessor_config.json
Deleting older checkpoint [checkpoint-33000] due to args.save_total_limit

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Training completed. Do not forget to share your model on huggingface.co/models =)



                                                        

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Saving model checkpoint to ./
Configuration saved in ./config.json
Model weights saved in ./pytorch_model.bin
Configuration saved in ./preprocessor_config.json
Saving model checkpoint to ./
Configuration saved in ./config.json
Model weights saved in ./pytorch_model.bin
Configuration saved in ./preprocessor_config.json
Several commits (2) will be pushed upstream.
{'eval_loss': 0.06428828090429306, 'eval_wer': 0.045454545454545456, 'eval_runtime': 56.8585, 'eval_samples_per_second': 8.02, 'eval_steps_per_second': 1.002, 'epoch': 49.64}
{'loss': 0.2955, 'learning_rate': 3.8702290076335876e-07, 'epoch': 49.78}
{'loss': 0.2952, 'learning_rate': 1.580152671755725e-07, 'epoch': 49.93}
{'train_runtime': 194988.743, 'train_samples_per_second': 5.709, 'train_steps_per_second': 0.178, 'train_loss': 1.0736439298451375, 'epoch': 50.0}
02/02/2022 17:36:28 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
The progress bars may be unreliable.
02/02/2022 17:36:28 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.

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Upload file pytorch_model.bin: 100%|█████████▉| 3.58G/3.59G [02:07<00:00, 28.0MB/s]To https://huggingface.co/anantoj/wav2vec2-xls-r-1b-korean
   ac4fd85..3233080  main -> main

02/02/2022 17:38:39 - WARNING - huggingface_hub.repository - To https://huggingface.co/anantoj/wav2vec2-xls-r-1b-korean
   ac4fd85..3233080  main -> main


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Dropping the following result as it does not have all the necessary fields:
{'dataset': {'name': 'zeroth_korean_asr', 'type': 'zeroth_korean_asr', 'args': 'clean'}}