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01/31/2022 11:15:19 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True |
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01/31/2022 11:15:19 - INFO - __main__ - Training/evaluation parameters TrainingArguments( |
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_n_gpu=1, |
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adafactor=False, |
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adam_beta1=0.9, |
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adam_beta2=0.999, |
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adam_epsilon=1e-08, |
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bf16=False, |
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bf16_full_eval=False, |
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dataloader_drop_last=False, |
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dataloader_num_workers=0, |
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dataloader_pin_memory=True, |
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ddp_bucket_cap_mb=None, |
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ddp_find_unused_parameters=None, |
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debug=[], |
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deepspeed=None, |
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disable_tqdm=False, |
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do_eval=True, |
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do_predict=False, |
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do_train=True, |
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eval_accumulation_steps=None, |
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eval_steps=500, |
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evaluation_strategy=IntervalStrategy.STEPS, |
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fp16=True, |
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fp16_backend=auto, |
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fp16_full_eval=False, |
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fp16_opt_level=O1, |
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gradient_accumulation_steps=4, |
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gradient_checkpointing=True, |
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greater_is_better=None, |
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group_by_length=True, |
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half_precision_backend=auto, |
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hub_model_id=None, |
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hub_strategy=HubStrategy.EVERY_SAVE, |
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hub_token=<HUB_TOKEN>, |
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ignore_data_skip=False, |
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label_names=None, |
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label_smoothing_factor=0.0, |
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learning_rate=7.5e-05, |
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length_column_name=input_length, |
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load_best_model_at_end=False, |
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local_rank=-1, |
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log_level=-1, |
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log_level_replica=-1, |
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log_on_each_node=True, |
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logging_dir=./runs/Jan31_11-15-19_job-aa543290-d6de-4d4d-8a32-2149b1b8e7e3, |
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logging_first_step=False, |
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logging_nan_inf_filter=True, |
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logging_steps=100, |
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logging_strategy=IntervalStrategy.STEPS, |
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lr_scheduler_type=SchedulerType.LINEAR, |
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max_grad_norm=1.0, |
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max_steps=-1, |
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metric_for_best_model=None, |
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mp_parameters=, |
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no_cuda=False, |
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num_train_epochs=50.0, |
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optim=OptimizerNames.ADAMW_HF, |
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output_dir=./, |
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overwrite_output_dir=True, |
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past_index=-1, |
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per_device_eval_batch_size=8, |
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per_device_train_batch_size=8, |
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prediction_loss_only=False, |
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push_to_hub=True, |
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push_to_hub_model_id=None, |
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push_to_hub_organization=None, |
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push_to_hub_token=<PUSH_TO_HUB_TOKEN>, |
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remove_unused_columns=True, |
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report_to=[], |
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resume_from_checkpoint=None, |
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run_name=./, |
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save_on_each_node=False, |
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save_steps=500, |
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save_strategy=IntervalStrategy.STEPS, |
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save_total_limit=3, |
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seed=42, |
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sharded_ddp=[], |
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skip_memory_metrics=True, |
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tf32=None, |
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tpu_metrics_debug=False, |
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tpu_num_cores=None, |
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use_legacy_prediction_loop=False, |
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warmup_ratio=0.0, |
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warmup_steps=2000, |
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weight_decay=0.0, |
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xpu_backend=None, |
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) |
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Downloading and preparing dataset zeroth_korean_asr/clean to /workspace/.cache/huggingface/datasets/kresnik___zeroth_korean_asr/clean/1.0.1/f6cf96a53d5512525e3113bab8048d36ce268658d6e0c40d45f65dfa3f0bc343... |
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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. |
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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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storing https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/config.json in cache at /workspace/.cache/huggingface/transformers/19f816c26d6fef49a4dfc0fc6b841c37792a250d2697d8432769f8af5698f1dc.90dd5f300087b6277c408283c36aefa2efb15afd0d3e210b3a7c3f3efc478d03 |
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loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/19f816c26d6fef49a4dfc0fc6b841c37792a250d2697d8432769f8af5698f1dc.90dd5f300087b6277c408283c36aefa2efb15afd0d3e210b3a7c3f3efc478d03 |
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Model config Wav2Vec2Config { |
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"_name_or_path": "facebook/wav2vec2-xls-r-1b", |
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"activation_dropout": 0.0, |
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"adapter_kernel_size": 3, |
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"adapter_stride": 2, |
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"add_adapter": false, |
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"apply_spec_augment": true, |
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"architectures": [ |
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"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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"conv_bias": true, |
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"conv_dim": [ |
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512, |
|
512, |
|
512, |
|
512, |
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512, |
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512, |
|
512 |
|
], |
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"conv_kernel": [ |
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10, |
|
3, |
|
3, |
|
3, |
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3, |
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2, |
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2 |
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], |
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"conv_stride": [ |
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5, |
|
2, |
|
2, |
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2, |
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2, |
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2, |
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2 |
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], |
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"ctc_loss_reduction": "sum", |
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"ctc_zero_infinity": false, |
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"diversity_loss_weight": 0.1, |
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"do_stable_layer_norm": true, |
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"eos_token_id": 2, |
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"feat_extract_activation": "gelu", |
|
"feat_extract_dropout": 0.0, |
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"feat_extract_norm": "layer", |
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"feat_proj_dropout": 0.1, |
|
"feat_quantizer_dropout": 0.0, |
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"final_dropout": 0.0, |
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"gradient_checkpointing": false, |
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"hidden_act": "gelu", |
|
"hidden_dropout": 0.1, |
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"hidden_size": 1280, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 5120, |
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"layer_norm_eps": 1e-05, |
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"layerdrop": 0.1, |
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"mask_feature_length": 10, |
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"mask_feature_min_masks": 0, |
|
"mask_feature_prob": 0.0, |
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"mask_time_length": 10, |
|
"mask_time_min_masks": 2, |
|
"mask_time_prob": 0.075, |
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"model_type": "wav2vec2", |
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"num_adapter_layers": 3, |
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"num_attention_heads": 16, |
|
"num_codevector_groups": 2, |
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"num_codevectors_per_group": 320, |
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"num_conv_pos_embedding_groups": 16, |
|
"num_conv_pos_embeddings": 128, |
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"num_feat_extract_layers": 7, |
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"num_hidden_layers": 48, |
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"num_negatives": 100, |
|
"output_hidden_size": 1280, |
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"pad_token_id": 0, |
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"proj_codevector_dim": 1024, |
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"tdnn_dilation": [ |
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1, |
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2, |
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3, |
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1, |
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1 |
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], |
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"tdnn_dim": [ |
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512, |
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512, |
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512, |
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512, |
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1500 |
|
], |
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"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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} |
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loading file ./vocab.json |
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file ./config.json not found |
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Adding <s> to the vocabulary |
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Adding </s> to the vocabulary |
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. |
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loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/19f816c26d6fef49a4dfc0fc6b841c37792a250d2697d8432769f8af5698f1dc.90dd5f300087b6277c408283c36aefa2efb15afd0d3e210b3a7c3f3efc478d03 |
|
Model config Wav2Vec2Config { |
|
"_name_or_path": "facebook/wav2vec2-xls-r-1b", |
|
"activation_dropout": 0.0, |
|
"adapter_kernel_size": 3, |
|
"adapter_stride": 2, |
|
"add_adapter": false, |
|
"apply_spec_augment": true, |
|
"architectures": [ |
|
"Wav2Vec2ForPreTraining" |
|
], |
|
"attention_dropout": 0.1, |
|
"bos_token_id": 1, |
|
"classifier_proj_size": 256, |
|
"codevector_dim": 1024, |
|
"contrastive_logits_temperature": 0.1, |
|
"conv_bias": true, |
|
"conv_dim": [ |
|
512, |
|
512, |
|
512, |
|
512, |
|
512, |
|
512, |
|
512 |
|
], |
|
"conv_kernel": [ |
|
10, |
|
3, |
|
3, |
|
3, |
|
3, |
|
2, |
|
2 |
|
], |
|
"conv_stride": [ |
|
5, |
|
2, |
|
2, |
|
2, |
|
2, |
|
2, |
|
2 |
|
], |
|
"ctc_loss_reduction": "sum", |
|
"ctc_zero_infinity": false, |
|
"diversity_loss_weight": 0.1, |
|
"do_stable_layer_norm": true, |
|
"eos_token_id": 2, |
|
"feat_extract_activation": "gelu", |
|
"feat_extract_dropout": 0.0, |
|
"feat_extract_norm": "layer", |
|
"feat_proj_dropout": 0.1, |
|
"feat_quantizer_dropout": 0.0, |
|
"final_dropout": 0.0, |
|
"gradient_checkpointing": false, |
|
"hidden_act": "gelu", |
|
"hidden_dropout": 0.1, |
|
"hidden_size": 1280, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 5120, |
|
"layer_norm_eps": 1e-05, |
|
"layerdrop": 0.1, |
|
"mask_feature_length": 10, |
|
"mask_feature_min_masks": 0, |
|
"mask_feature_prob": 0.0, |
|
"mask_time_length": 10, |
|
"mask_time_min_masks": 2, |
|
"mask_time_prob": 0.075, |
|
"model_type": "wav2vec2", |
|
"num_adapter_layers": 3, |
|
"num_attention_heads": 16, |
|
"num_codevector_groups": 2, |
|
"num_codevectors_per_group": 320, |
|
"num_conv_pos_embedding_groups": 16, |
|
"num_conv_pos_embeddings": 128, |
|
"num_feat_extract_layers": 7, |
|
"num_hidden_layers": 48, |
|
"num_negatives": 100, |
|
"output_hidden_size": 1280, |
|
"pad_token_id": 0, |
|
"proj_codevector_dim": 1024, |
|
"tdnn_dilation": [ |
|
1, |
|
2, |
|
3, |
|
1, |
|
1 |
|
], |
|
"tdnn_dim": [ |
|
512, |
|
512, |
|
512, |
|
512, |
|
1500 |
|
], |
|
"tdnn_kernel": [ |
|
5, |
|
3, |
|
3, |
|
1, |
|
1 |
|
], |
|
"torch_dtype": "float32", |
|
"transformers_version": "4.17.0.dev0", |
|
"use_weighted_layer_sum": false, |
|
"vocab_size": 32, |
|
"xvector_output_dim": 512 |
|
} |
|
|
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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 |
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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 { |
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"do_normalize": true, |
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"feature_extractor_type": "Wav2Vec2FeatureExtractor", |
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"feature_size": 1, |
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"padding_side": "right", |
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"padding_value": 0, |
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"return_attention_mask": true, |
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"sampling_rate": 16000 |
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} |
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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 |
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creating metadata file for /workspace/.cache/huggingface/transformers/1b10cc2ca6452defe09996da7c9e2d4a9550e22295550c3659e8b1895c97921a.46e33ebecb25f07f270ccfa8896911dd7aeba6b646f8724d18117987926c98db |
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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 |
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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'] |
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- 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). |
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- 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). |
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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'] |
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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 |
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tokenizer config file saved in ./tokenizer_config.json |
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Special tokens file saved in ./special_tokens_map.json |
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added tokens file saved in ./added_tokens.json |
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Configuration saved in ./config.json |
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loading feature extractor configuration file ./preprocessor_config.json |
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loading configuration file ./config.json |
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Model config Wav2Vec2Config { |
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"_name_or_path": "./", |
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"activation_dropout": 0.1, |
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"adapter_kernel_size": 3, |
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"adapter_stride": 2, |
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"add_adapter": false, |
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"apply_spec_augment": true, |
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"architectures": [ |
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"Wav2Vec2ForPreTraining" |
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], |
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"attention_dropout": 0.0, |
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"bos_token_id": 1, |
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"classifier_proj_size": 256, |
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"codevector_dim": 1024, |
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"contrastive_logits_temperature": 0.1, |
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"conv_bias": true, |
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"conv_dim": [ |
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512, |
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512, |
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512, |
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512, |
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512, |
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512, |
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512 |
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], |
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"conv_kernel": [ |
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10, |
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3, |
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3, |
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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%|β | 500/34750 [45:49<31:05:46, 3.27s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. |
|
***** Running Evaluation ***** |
|
Num examples = 456 |
|
Batch size = 8 |
|
{'loss': 27.8845, 'learning_rate': 3.6e-06, 'epoch': 0.14} |
|
{'loss': 5.2607, 'learning_rate': 7.35e-06, 'epoch': 0.29} |
|
{'loss': 4.8397, 'learning_rate': 1.1099999999999999e-05, 'epoch': 0.43} |
|
{'loss': 4.6751, 'learning_rate': 1.485e-05, 'epoch': 0.57} |
|
{'loss': 4.603, 'learning_rate': 1.8599999999999998e-05, 'epoch': 0.72} |
|
|
|
0%| | 0/57 [00:00<?, ?it/s][A |
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4%|β | 2/57 [00:01<00:27, 1.98it/s][A |
|
5%|β | 3/57 [00:01<00:36, 1.49it/s][A |
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7%|β | 4/57 [00:02<00:41, 1.28it/s][A |
|
9%|β | 5/57 [00:03<00:41, 1.26it/s][A |
|
11%|β | 6/57 [00:04<00:44, 1.15it/s][A |
|
12%|ββ | 7/57 [00:05<00:44, 1.12it/s][A |
|
14%|ββ | 8/57 [00:06<00:45, 1.08it/s][A |
|
16%|ββ | 9/57 [00:07<00:43, 1.09it/s][A |
|
18%|ββ | 10/57 [00:08<00:42, 1.10it/s][A |
|
19%|ββ | 11/57 [00:09<00:43, 1.05it/s][A |
|
21%|ββ | 12/57 [00:10<00:45, 1.01s/it][A |
|
23%|βββ | 13/57 [00:11<00:47, 1.08s/it][A |
|
25%|βββ | 14/57 [00:12<00:46, 1.09s/it][A |
|
26%|βββ | 15/57 [00:14<00:47, 1.13s/it][A |
|
28%|βββ | 16/57 [00:15<00:46, 1.14s/it][A |
|
30%|βββ | 17/57 [00:16<00:45, 1.14s/it][A |
|
32%|ββββ | 18/57 [00:17<00:42, 1.10s/it][A |
|
33%|ββββ | 19/57 [00:18<00:42, 1.11s/it][A |
|
35%|ββββ | 20/57 [00:19<00:40, 1.08s/it][A |
|
37%|ββββ | 21/57 [00:20<00:39, 1.09s/it][A |
|
39%|ββββ | 22/57 [00:22<00:39, 1.12s/it][A |
|
40%|ββββ | 23/57 [00:22<00:35, 1.06s/it][A |
|
42%|βββββ | 24/57 [00:23<00:34, 1.03s/it][A |
|
44%|βββββ | 25/57 [00:24<00:30, 1.06it/s][A |
|
46%|βββββ | 26/57 [00:25<00:26, 1.17it/s][A |
|
47%|βββββ | 27/57 [00:26<00:27, 1.08it/s][A |
|
49%|βββββ | 28/57 [00:27<00:29, 1.01s/it][A |
|
51%|βββββ | 29/57 [00:28<00:31, 1.11s/it][A |
|
53%|ββββββ | 30/57 [00:29<00:29, 1.09s/it][A |
|
54%|ββββββ | 31/57 [00:31<00:30, 1.19s/it][A |
|
56%|ββββββ | 32/57 [00:32<00:27, 1.12s/it][A |
|
58%|ββββββ | 33/57 [00:33<00:27, 1.14s/it][A |
|
60%|ββββββ | 34/57 [00:34<00:26, 1.15s/it][A |
|
61%|βββββββ | 35/57 [00:35<00:24, 1.10s/it][A |
|
63%|βββββββ | 36/57 [00:36<00:23, 1.14s/it][A |
|
65%|βββββββ | 37/57 [00:37<00:19, 1.01it/s][A |
|
67%|βββββββ | 38/57 [00:38<00:19, 1.02s/it][A |
|
68%|βββββββ | 39/57 [00:39<00:17, 1.05it/s][A |
|
70%|βββββββ | 40/57 [00:40<00:17, 1.03s/it][A |
|
72%|ββββββββ | 41/57 [00:41<00:17, 1.07s/it][A |
|
74%|ββββββββ | 42/57 [00:42<00:15, 1.02s/it][A |
|
75%|ββββββββ | 43/57 [00:43<00:13, 1.04it/s][A |
|
77%|ββββββββ | 44/57 [00:44<00:11, 1.10it/s][A |
|
79%|ββββββββ | 45/57 [00:45<00:11, 1.06it/s][A |
|
81%|ββββββββ | 46/57 [00:46<00:10, 1.01it/s][A |
|
82%|βββββββββ | 47/57 [00:47<00:08, 1.13it/s][A |
|
84%|βββββββββ | 48/57 [00:47<00:07, 1.17it/s][A |
|
86%|βββββββββ | 49/57 [00:48<00:06, 1.18it/s][A |
|
88%|βββββββββ | 50/57 [00:49<00:06, 1.13it/s][A |
|
89%|βββββββββ | 51/57 [00:50<00:05, 1.13it/s][A |
|
91%|βββββββββ | 52/57 [00:51<00:04, 1.12it/s][A |
|
93%|ββββββββββ| 53/57 [00:52<00:03, 1.10it/s][A |
|
95%|ββββββββββ| 54/57 [00:53<00:02, 1.18it/s][A |
|
96%|ββββββββββ| 55/57 [00:53<00:01, 1.23it/s][A |
|
98%|ββββββββββ| 56/57 [00:54<00:00, 1.23it/s][A |
|
100%|ββββββββββ| 57/57 [00:55<00:00, 1.17it/s][A
|
|
[A
1%|β | 500/34750 [46:51<31:05:46, 3.27s/it] |
|
100%|ββββββββββ| 57/57 [01:00<00:00, 1.17it/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 |
|
|