| 02/06/2022 11:36:43 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True | |
| 02/06/2022 11:36:43 - 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/Feb06_11-36-42_job-a1cf84c8-7d28-46cd-9f0a-e09d16d4a1cb, | |
| logging_first_step=False, | |
| logging_nan_inf_filter=True, | |
| logging_steps=100, | |
| logging_strategy=IntervalStrategy.STEPS, | |
| lr_scheduler_type=SchedulerType.LINEAR, | |
| max_grad_norm=1.0, | |
| max_steps=-1, | |
| metric_for_best_model=None, | |
| mp_parameters=, | |
| no_cuda=False, | |
| num_train_epochs=100.0, | |
| optim=OptimizerNames.ADAMW_HF, | |
| output_dir=./, | |
| overwrite_output_dir=True, | |
| past_index=-1, | |
| per_device_eval_batch_size=8, | |
| per_device_train_batch_size=8, | |
| prediction_loss_only=False, | |
| push_to_hub=True, | |
| push_to_hub_model_id=None, | |
| push_to_hub_organization=None, | |
| push_to_hub_token=<PUSH_TO_HUB_TOKEN>, | |
| remove_unused_columns=True, | |
| report_to=['tensorboard'], | |
| resume_from_checkpoint=None, | |
| run_name=./, | |
| save_on_each_node=False, | |
| save_steps=500, | |
| save_strategy=IntervalStrategy.STEPS, | |
| save_total_limit=3, | |
| seed=42, | |
| sharded_ddp=[], | |
| skip_memory_metrics=True, | |
| tf32=None, | |
| tpu_metrics_debug=False, | |
| tpu_num_cores=None, | |
| use_legacy_prediction_loop=False, | |
| warmup_ratio=0.0, | |
| warmup_steps=2000, | |
| weight_decay=0.0, | |
| xpu_backend=None, | |
| ) | |
| Downloading and preparing dataset common_voice/zh-TW (download: 2.03 GiB, generated: 941.55 MiB, post-processed: Unknown size, total: 2.95 GiB) to /workspace/.cache/huggingface/datasets/common_voice/zh-TW/6.1.0/5693bfc0feeade582a78c2fb250bc88f52bd86f0a7f1bb22bfee67e715de30fd... | |
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Subsequent calls will reuse this data. | |
| 02/06/2022 11:40:43 - WARNING - datasets.builder - Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/common_voice/zh-TW/6.1.0/5693bfc0feeade582a78c2fb250bc88f52bd86f0a7f1bb22bfee67e715de30fd) | |
| remove special characters from datasets: 0ex [00:00, ?ex/s] remove special characters from datasets: 797ex [00:00, 7963.29ex/s] remove special characters from datasets: 1594ex [00:00, 5062.59ex/s] remove special characters from datasets: 2160ex [00:00, 4583.62ex/s] remove special characters from datasets: 2838ex [00:00, 5244.42ex/s] remove special characters from datasets: 3401ex [00:00, 4976.06ex/s] remove special characters from datasets: 4000ex [00:00, 4874.50ex/s] remove special characters from datasets: 4683ex [00:00, 5409.72ex/s] remove special characters from datasets: 5245ex [00:01, 4546.00ex/s] remove special characters from datasets: 5909ex [00:01, 5069.77ex/s] remove special characters from datasets: 6402ex [00:01, 4942.28ex/s] | |
| remove special characters from datasets: 0ex [00:00, ?ex/s] remove special characters from datasets: 591ex [00:00, 5903.66ex/s] remove special characters from datasets: 1182ex [00:00, 4833.92ex/s] remove special characters from datasets: 1797ex [00:00, 5367.32ex/s] remove special characters from datasets: 2347ex [00:00, 4760.18ex/s] remove special characters from datasets: 2933ex [00:00, 5106.40ex/s] remove special characters from datasets: 3000ex [00:00, 4300.06ex/s] | |
| https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/config.json not found in cache or force_download set to True, downloading to /workspace/.cache/huggingface/transformers/tmpwuv8hkt0 | |
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| storing https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/config.json in cache at /workspace/.cache/huggingface/transformers/dabc27df63e37bd2a7a221c7774e35f36a280fbdf917cf54cadfc7df8c786f6f.a3e4c3c967d9985881e0ae550a5f6f668f897db5ab2e0802f9b97973b15970e6 | |
| creating metadata file for /workspace/.cache/huggingface/transformers/dabc27df63e37bd2a7a221c7774e35f36a280fbdf917cf54cadfc7df8c786f6f.a3e4c3c967d9985881e0ae550a5f6f668f897db5ab2e0802f9b97973b15970e6 | |
| loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/dabc27df63e37bd2a7a221c7774e35f36a280fbdf917cf54cadfc7df8c786f6f.a3e4c3c967d9985881e0ae550a5f6f668f897db5ab2e0802f9b97973b15970e6 | |
| Model config Wav2Vec2Config { | |
| "_name_or_path": "facebook/wav2vec2-xls-r-300m", | |
| "activation_dropout": 0.0, | |
| "adapter_kernel_size": 3, | |
| "adapter_stride": 2, | |
| "add_adapter": false, | |
| "apply_spec_augment": true, | |
| "architectures": [ | |
| "Wav2Vec2ForPreTraining" | |
| ], | |
| "attention_dropout": 0.1, | |
| "bos_token_id": 1, | |
| "classifier_proj_size": 256, | |
| "codevector_dim": 768, | |
| "contrastive_logits_temperature": 0.1, | |
| "conv_bias": true, | |
| "conv_dim": [ | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512 | |
| ], | |
| "conv_kernel": [ | |
| 10, | |
| 3, | |
| 3, | |
| 3, | |
| 3, | |
| 2, | |
| 2 | |
| ], | |
| "conv_stride": [ | |
| 5, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "ctc_loss_reduction": "sum", | |
| "ctc_zero_infinity": false, | |
| "diversity_loss_weight": 0.1, | |
| "do_stable_layer_norm": true, | |
| "eos_token_id": 2, | |
| "feat_extract_activation": "gelu", | |
| "feat_extract_dropout": 0.0, | |
| "feat_extract_norm": "layer", | |
| "feat_proj_dropout": 0.1, | |
| "feat_quantizer_dropout": 0.0, | |
| "final_dropout": 0.0, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout": 0.1, | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "layer_norm_eps": 1e-05, | |
| "layerdrop": 0.1, | |
| "mask_feature_length": 10, | |
| "mask_feature_min_masks": 0, | |
| "mask_feature_prob": 0.0, | |
| "mask_time_length": 10, | |
| "mask_time_min_masks": 2, | |
| "mask_time_prob": 0.075, | |
| "model_type": "wav2vec2", | |
| "num_adapter_layers": 3, | |
| "num_attention_heads": 16, | |
| "num_codevector_groups": 2, | |
| "num_codevectors_per_group": 320, | |
| "num_conv_pos_embedding_groups": 16, | |
| "num_conv_pos_embeddings": 128, | |
| "num_feat_extract_layers": 7, | |
| "num_hidden_layers": 24, | |
| "num_negatives": 100, | |
| "output_hidden_size": 1024, | |
| "pad_token_id": 0, | |
| "proj_codevector_dim": 768, | |
| "tdnn_dilation": [ | |
| 1, | |
| 2, | |
| 3, | |
| 1, | |
| 1 | |
| ], | |
| "tdnn_dim": [ | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 1500 | |
| ], | |
| "tdnn_kernel": [ | |
| 5, | |
| 3, | |
| 3, | |
| 1, | |
| 1 | |
| ], | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.17.0.dev0", | |
| "use_weighted_layer_sum": false, | |
| "vocab_size": 32, | |
| "xvector_output_dim": 512 | |
| } | |
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| Didn't find file ./tokenizer_config.json. We won't load it. | |
| Didn't find file ./added_tokens.json. We won't load it. | |
| Didn't find file ./special_tokens_map.json. We won't load it. | |
| Didn't find file ./tokenizer.json. We won't load it. | |
| loading file ./vocab.json | |
| loading file None | |
| loading file None | |
| loading file None | |
| loading file None | |
| file ./config.json not found | |
| Adding <s> to the vocabulary | |
| Adding </s> to the vocabulary | |
| Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. | |
| loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/dabc27df63e37bd2a7a221c7774e35f36a280fbdf917cf54cadfc7df8c786f6f.a3e4c3c967d9985881e0ae550a5f6f668f897db5ab2e0802f9b97973b15970e6 | |
| Model config Wav2Vec2Config { | |
| "_name_or_path": "facebook/wav2vec2-xls-r-300m", | |
| "activation_dropout": 0.0, | |
| "adapter_kernel_size": 3, | |
| "adapter_stride": 2, | |
| "add_adapter": false, | |
| "apply_spec_augment": true, | |
| "architectures": [ | |
| "Wav2Vec2ForPreTraining" | |
| ], | |
| "attention_dropout": 0.1, | |
| "bos_token_id": 1, | |
| "classifier_proj_size": 256, | |
| "codevector_dim": 768, | |
| "contrastive_logits_temperature": 0.1, | |
| "conv_bias": true, | |
| "conv_dim": [ | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512 | |
| ], | |
| "conv_kernel": [ | |
| 10, | |
| 3, | |
| 3, | |
| 3, | |
| 3, | |
| 2, | |
| 2 | |
| ], | |
| "conv_stride": [ | |
| 5, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "ctc_loss_reduction": "sum", | |
| "ctc_zero_infinity": false, | |
| "diversity_loss_weight": 0.1, | |
| "do_stable_layer_norm": true, | |
| "eos_token_id": 2, | |
| "feat_extract_activation": "gelu", | |
| "feat_extract_dropout": 0.0, | |
| "feat_extract_norm": "layer", | |
| "feat_proj_dropout": 0.1, | |
| "feat_quantizer_dropout": 0.0, | |
| "final_dropout": 0.0, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout": 0.1, | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "layer_norm_eps": 1e-05, | |
| "layerdrop": 0.1, | |
| "mask_feature_length": 10, | |
| "mask_feature_min_masks": 0, | |
| "mask_feature_prob": 0.0, | |
| "mask_time_length": 10, | |
| "mask_time_min_masks": 2, | |
| "mask_time_prob": 0.075, | |
| "model_type": "wav2vec2", | |
| "num_adapter_layers": 3, | |
| "num_attention_heads": 16, | |
| "num_codevector_groups": 2, | |
| "num_codevectors_per_group": 320, | |
| "num_conv_pos_embedding_groups": 16, | |
| "num_conv_pos_embeddings": 128, | |
| "num_feat_extract_layers": 7, | |
| "num_hidden_layers": 24, | |
| "num_negatives": 100, | |
| "output_hidden_size": 1024, | |
| "pad_token_id": 0, | |
| "proj_codevector_dim": 768, | |
| "tdnn_dilation": [ | |
| 1, | |
| 2, | |
| 3, | |
| 1, | |
| 1 | |
| ], | |
| "tdnn_dim": [ | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 1500 | |
| ], | |
| "tdnn_kernel": [ | |
| 5, | |
| 3, | |
| 3, | |
| 1, | |
| 1 | |
| ], | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.17.0.dev0", | |
| "use_weighted_layer_sum": false, | |
| "vocab_size": 32, | |
| "xvector_output_dim": 512 | |
| } | |
| https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/preprocessor_config.json not found in cache or force_download set to True, downloading to /workspace/.cache/huggingface/transformers/tmptw8gnqv0 | |
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| storing https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/preprocessor_config.json in cache at /workspace/.cache/huggingface/transformers/6fb028b95b394059e7d3b367bbca2382b576c66aebe896f04d2cd34e1b575f5b.d4484dc1c81456a2461485e7168b04347a7b9a4e3b1ef3aba723323b33e12326 | |
| creating metadata file for /workspace/.cache/huggingface/transformers/6fb028b95b394059e7d3b367bbca2382b576c66aebe896f04d2cd34e1b575f5b.d4484dc1c81456a2461485e7168b04347a7b9a4e3b1ef3aba723323b33e12326 | |
| loading feature extractor configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/preprocessor_config.json from cache at /workspace/.cache/huggingface/transformers/6fb028b95b394059e7d3b367bbca2382b576c66aebe896f04d2cd34e1b575f5b.d4484dc1c81456a2461485e7168b04347a7b9a4e3b1ef3aba723323b33e12326 | |
| Feature extractor Wav2Vec2FeatureExtractor { | |
| "do_normalize": true, | |
| "feature_extractor_type": "Wav2Vec2FeatureExtractor", | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| } | |
| https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/pytorch_model.bin not found in cache or force_download set to True, downloading to /workspace/.cache/huggingface/transformers/tmp7sf1_c2z | |
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| storing https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/pytorch_model.bin in cache at /workspace/.cache/huggingface/transformers/1e6a6507f3b689035cd4b247e2a37c154e27f39143f31357a49b4e38baeccc36.1edb32803799e27ed554eb7dd935f6745b1a0b17b0ea256442fe24db6eb546cd | |
| creating metadata file for /workspace/.cache/huggingface/transformers/1e6a6507f3b689035cd4b247e2a37c154e27f39143f31357a49b4e38baeccc36.1edb32803799e27ed554eb7dd935f6745b1a0b17b0ea256442fe24db6eb546cd | |
| loading weights file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/pytorch_model.bin from cache at /workspace/.cache/huggingface/transformers/1e6a6507f3b689035cd4b247e2a37c154e27f39143f31357a49b4e38baeccc36.1edb32803799e27ed554eb7dd935f6745b1a0b17b0ea256442fe24db6eb546cd | |
| Some weights of the model checkpoint at facebook/wav2vec2-xls-r-300m were not used when initializing Wav2Vec2ForCTC: ['project_q.bias', 'quantizer.codevectors', 'quantizer.weight_proj.bias', 'project_q.weight', 'project_hid.weight', 'project_hid.bias', 'quantizer.weight_proj.weight'] | |
| - This IS expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). | |
| - This IS NOT expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). | |
| Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-xls-r-300m and are newly initialized: ['lm_head.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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| 0%| | 0/7 [00:00<?, ?ba/s] 100%|██████████| 7/7 [00:00<00:00, 704.50ba/s] | |
| 0%| | 0/3 [00:00<?, ?ba/s] 100%|██████████| 3/3 [00:00<00:00, 683.04ba/s] | |
| Configuration saved in ./preprocessor_config.json | |
| tokenizer config file saved in ./tokenizer_config.json | |
| Special tokens file saved in ./special_tokens_map.json | |
| added tokens file saved in ./added_tokens.json | |
| Configuration saved in ./config.json | |
| loading feature extractor configuration file ./preprocessor_config.json | |
| loading configuration file ./config.json | |
| Model config Wav2Vec2Config { | |
| "_name_or_path": "./", | |
| "activation_dropout": 0.1, | |
| "adapter_kernel_size": 3, | |
| "adapter_stride": 2, | |
| "add_adapter": false, | |
| "apply_spec_augment": true, | |
| "architectures": [ | |
| "Wav2Vec2ForPreTraining" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "classifier_proj_size": 256, | |
| "codevector_dim": 768, | |
| "contrastive_logits_temperature": 0.1, | |
| "conv_bias": true, | |
| "conv_dim": [ | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512 | |
| ], | |
| "conv_kernel": [ | |
| 10, | |
| 3, | |
| 3, | |
| 3, | |
| 3, | |
| 2, | |
| 2 | |
| ], | |
| "conv_stride": [ | |
| 5, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "ctc_loss_reduction": "mean", | |
| "ctc_zero_infinity": false, | |
| "diversity_loss_weight": 0.1, | |
| "do_stable_layer_norm": true, | |
| "eos_token_id": 2, | |
| "feat_extract_activation": "gelu", | |
| "feat_extract_dropout": 0.0, | |
| "feat_extract_norm": "layer", | |
| "feat_proj_dropout": 0.0, | |
| "feat_quantizer_dropout": 0.0, | |
| "final_dropout": 0.0, | |
| "hidden_act": "gelu", | |
| "hidden_dropout": 0.0, | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "layer_norm_eps": 1e-05, | |
| "layerdrop": 0.0, | |
| "mask_feature_length": 64, | |
| "mask_feature_min_masks": 0, | |
| "mask_feature_prob": 0.25, | |
| "mask_time_length": 10, | |
| "mask_time_min_masks": 2, | |
| "mask_time_prob": 0.75, | |
| "model_type": "wav2vec2", | |
| "num_adapter_layers": 3, | |
| "num_attention_heads": 16, | |
| "num_codevector_groups": 2, | |
| "num_codevectors_per_group": 320, | |
| "num_conv_pos_embedding_groups": 16, | |
| "num_conv_pos_embeddings": 128, | |
| "num_feat_extract_layers": 7, | |
| "num_hidden_layers": 24, | |
| "num_negatives": 100, | |
| "output_hidden_size": 1024, | |
| "pad_token_id": 2655, | |
| "proj_codevector_dim": 768, | |
| "tdnn_dilation": [ | |
| 1, | |
| 2, | |
| 3, | |
| 1, | |
| 1 | |
| ], | |
| "tdnn_dim": [ | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 1500 | |
| ], | |
| "tdnn_kernel": [ | |
| 5, | |
| 3, | |
| 3, | |
| 1, | |
| 1 | |
| ], | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.17.0.dev0", | |
| "use_weighted_layer_sum": false, | |
| "vocab_size": 2658, | |
| "xvector_output_dim": 512 | |
| } | |
| loading feature extractor configuration file ./preprocessor_config.json | |
| Feature extractor Wav2Vec2FeatureExtractor { | |
| "do_normalize": true, | |
| "feature_extractor_type": "Wav2Vec2FeatureExtractor", | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| } | |
| Didn't find file ./tokenizer.json. We won't load it. | |
| loading file ./vocab.json | |
| loading file ./tokenizer_config.json | |
| loading file ./added_tokens.json | |
| loading file ./special_tokens_map.json | |
| loading file None | |
| Adding <s> to the vocabulary | |
| Adding </s> to the vocabulary | |
| /workspace/wav2vec2-xls-r-300m-zh-TW/./ is already a clone of https://huggingface.co/StevenLimcorn/wav2vec2-xls-r-300m-zh-TW. Make sure you pull the latest changes with `repo.git_pull()`. | |
| 02/06/2022 11:42:32 - WARNING - huggingface_hub.repository - /workspace/wav2vec2-xls-r-300m-zh-TW/./ is already a clone of https://huggingface.co/StevenLimcorn/wav2vec2-xls-r-300m-zh-TW. 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 = 6380 | |
| Num Epochs = 100 | |
| Instantaneous batch size per device = 8 | |
| Total train batch size (w. parallel, distributed & accumulation) = 32 | |
| Gradient Accumulation steps = 4 | |
| Total optimization steps = 19900 | |
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[11:35<6:08:39, 1.14s/it] 2%|▏ | 490/19900 [11:36<6:03:24, 1.12s/it] 2%|▏ | 491/19900 [11:37<5:52:17, 1.09s/it] 2%|▏ | 492/19900 [11:38<5:43:01, 1.06s/it] 2%|▏ | 493/19900 [11:39<5:35:05, 1.04s/it] 2%|▏ | 494/19900 [11:40<5:26:42, 1.01s/it] 2%|▏ | 495/19900 [11:41<5:24:26, 1.00s/it] 2%|▏ | 496/19900 [11:42<5:19:08, 1.01it/s] 2%|▏ | 497/19900 [11:44<7:45:39, 1.44s/it] 3%|▎ | 498/19900 [11:46<8:50:43, 1.64s/it] 3%|▎ | 499/19900 [11:48<9:17:13, 1.72s/it] 3%|▎ | 500/19900 [11:50<9:29:05, 1.76s/it] 3%|▎ | 500/19900 [11:50<9:29:05, 1.76s/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 = 2958 | |
| Batch size = 8 | |
| {'loss': 136.5086, 'learning_rate': 3.6375e-06, 'epoch': 0.5} | |
| {'loss': 98.7644, 'learning_rate': 7.3875e-06, 'epoch': 1.01} | |
| {'loss': 81.5207, 'learning_rate': 1.1137499999999998e-05, 'epoch': 1.51} | |
| {'loss': 72.7656, 'learning_rate': 1.48875e-05, 'epoch': 2.01} | |
| {'loss': 64.6189, 'learning_rate': 1.86375e-05, 'epoch': 2.51} | |
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| 100%|██████████| 370/370 [01:49<00:00, 2.61it/s][A | |
| [A 3%|▎ | 500/19900 [14:05<9:29:05, 1.76s/it] | |
| 100%|██████████| 370/370 [02:14<00:00, 2.61it/s][A | |
| [ASaving model checkpoint to ./checkpoint-500 | |
| Configuration saved in ./checkpoint-500/config.json | |
| Model weights saved in ./checkpoint-500/pytorch_model.bin | |
| Configuration saved in ./checkpoint-500/preprocessor_config.json | |
| Configuration saved in ./preprocessor_config.json | |