diff --git "a/nohup.out" "b/nohup.out" deleted file mode 100644--- "a/nohup.out" +++ /dev/null @@ -1,236560 +0,0 @@ -07/20/2023 11:04:54 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True -07/20/2023 11:04:54 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul20_11-04-54_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=16, -per_device_train_batch_size=32, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/20/2023 11:04:54 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul20_11-04-54_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=16, -per_device_train_batch_size=32, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/20/2023 11:04:56 - INFO - datasets.utils.file_utils - https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0/resolve/main/common_voice_13_0.py not found in cache or force_download set to True, downloading to /home/xezpeleta/.cache/huggingface/datasets/downloads/tmp33netx5y - Downloading builder script: 0%| | 0.00/8.18k [00:00 - main() - File "/home/xezpeleta/dev/whisper-small-eu-v2/run_speech_recognition_seq2seq_streaming.py", line 365, in main - raw_datasets["eval"] = load_maybe_streaming_dataset( - File "/home/xezpeleta/dev/whisper-small-eu-v2/run_speech_recognition_seq2seq_streaming.py", line 285, in load_maybe_streaming_dataset - dataset = load_dataset(dataset_name, dataset_config_name, split=split, streaming=streaming, **kwargs) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/datasets/load.py", line 1734, in load_dataset - builder_instance = load_dataset_builder( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/datasets/load.py", line 1492, in load_dataset_builder - dataset_module = dataset_module_factory( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/datasets/load.py", line 1187, in dataset_module_factory - return HubDatasetModuleFactoryWithScript( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/datasets/load.py", line 863, in __init__ - increase_load_count(name, resource_type="dataset") - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/datasets/load.py", line 160, in increase_load_count - head_hf_s3(name, filename=name + ".py", dataset=(resource_type == "dataset")) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/datasets/utils/file_utils.py", line 96, in head_hf_s3 - return http_head( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/datasets/utils/file_utils.py", line 390, in http_head - response = _request_with_retry( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/datasets/utils/file_utils.py", line 319, in _request_with_retry - response = requests.request(method=method.upper(), url=url, timeout=timeout, **params) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/requests/api.py", line 59, in request - return session.request(method=method, url=url, **kwargs) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/requests/sessions.py", line 587, in request - resp = self.send(prep, **send_kwargs) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/requests/sessions.py", line 701, in send - r = adapter.send(request, **kwargs) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/requests/adapters.py", line 489, in send - resp = conn.urlopen( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/urllib3/connectionpool.py", line 703, in urlopen - httplib_response = self._make_request( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/urllib3/connectionpool.py", line 386, in _make_request - self._validate_conn(conn) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/urllib3/connectionpool.py", line 1042, in _validate_conn - conn.connect() - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/urllib3/connection.py", line 414, in connect - self.sock = ssl_wrap_socket( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/urllib3/util/ssl_.py", line 449, in ssl_wrap_socket - ssl_sock = _ssl_wrap_socket_impl( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/urllib3/util/ssl_.py", line 493, in _ssl_wrap_socket_impl - return ssl_context.wrap_socket(sock, server_hostname=server_hostname) - File "/usr/lib/python3.10/ssl.py", line 513, in wrap_socket - return self.sslsocket_class._create( - File "/usr/lib/python3.10/ssl.py", line 1071, in _create - self.do_handshake() - File "/usr/lib/python3.10/ssl.py", line 1342, in do_handshake - self._sslobj.do_handshake() -KeyboardInterrupt -07/20/2023 11:05:06 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True -07/20/2023 11:05:06 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul20_11-05-05_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=16, -per_device_train_batch_size=32, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/20/2023 11:05:06 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul20_11-05-05_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=16, -per_device_train_batch_size=32, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/20/2023 11:05:08 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/20/2023 11:05:10 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/20/2023 11:05:13 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 - Downloading: 0%| | 0.00/1.97k [00:00> loading configuration file config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-small/snapshots/dc81969cac97c87ddad61ccc5012b389c81e8dd4/config.json -[INFO|configuration_utils.py:706] 2023-07-20 11:05:14,156 >> Model config WhisperConfig { - "_name_or_path": "openai/whisper-small", - "activation_dropout": 0.0, - "activation_function": "gelu", - "architectures": [ - "WhisperForConditionalGeneration" - ], - "attention_dropout": 0.0, - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "d_model": 768, - "decoder_attention_heads": 12, - "decoder_ffn_dim": 3072, - "decoder_layerdrop": 0.0, - "decoder_layers": 12, - "decoder_start_token_id": 50258, - "dropout": 0.0, - "encoder_attention_heads": 12, - "encoder_ffn_dim": 3072, - "encoder_layerdrop": 0.0, - "encoder_layers": 12, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - 50259 - ], - [ - 2, - 50359 - ], - [ - 3, - 50363 - ] - ], - "init_std": 0.02, - "is_encoder_decoder": true, - "max_length": 448, - "max_source_positions": 1500, - "max_target_positions": 448, - "model_type": "whisper", - "num_hidden_layers": 12, - "num_mel_bins": 80, - "pad_token_id": 50257, - "scale_embedding": false, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, 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/home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-small/snapshots/dc81969cac97c87ddad61ccc5012b389c81e8dd4/preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-20 11:05:14,466 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - "feature_size": 80, - "hop_length": 160, - "mel_filters": [ - [ - -0.0, - 0.02486259490251541, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 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tokenizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-small/snapshots/dc81969cac97c87ddad61ccc5012b389c81e8dd4/tokenizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-20 11:05:17,954 >> loading file merges.txt from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-small/snapshots/dc81969cac97c87ddad61ccc5012b389c81e8dd4/merges.txt -[INFO|tokenization_utils_base.py:1799] 2023-07-20 11:05:17,954 >> loading file normalizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-small/snapshots/dc81969cac97c87ddad61ccc5012b389c81e8dd4/normalizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-20 11:05:17,954 >> loading file added_tokens.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-small/snapshots/dc81969cac97c87ddad61ccc5012b389c81e8dd4/added_tokens.json -[INFO|tokenization_utils_base.py:1799] 2023-07-20 11:05:17,954 >> loading file special_tokens_map.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-small/snapshots/dc81969cac97c87ddad61ccc5012b389c81e8dd4/special_tokens_map.json -[INFO|tokenization_utils_base.py:1799] 2023-07-20 11:05:17,954 >> loading file tokenizer_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-small/snapshots/dc81969cac97c87ddad61ccc5012b389c81e8dd4/tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,005 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:18,006 >> Adding <|notimestamps|> to the vocabulary -[INFO|modeling_utils.py:2264] 2023-07-20 11:05:18,193 >> loading weights file pytorch_model.bin from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-small/snapshots/dc81969cac97c87ddad61ccc5012b389c81e8dd4/pytorch_model.bin -[INFO|configuration_utils.py:523] 2023-07-20 11:05:19,349 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "max_length": 448, - "pad_token_id": 50257, - "transformers_version": "4.26.0.dev0", - "use_cache": false -} - -[INFO|modeling_utils.py:2842] 2023-07-20 11:05:20,532 >> All model checkpoint weights were used when initializing WhisperForConditionalGeneration. - -[INFO|modeling_utils.py:2850] 2023-07-20 11:05:20,532 >> All the weights of WhisperForConditionalGeneration were initialized from the model checkpoint at openai/whisper-small. -If your task is similar to the task the model of the checkpoint was trained on, you can already use WhisperForConditionalGeneration for predictions without further training. - Downloading: 0%| | 0.00/3.51k [00:00> loading configuration file generation_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-small/snapshots/dc81969cac97c87ddad61ccc5012b389c81e8dd4/generation_config.json -[INFO|configuration_utils.py:523] 2023-07-20 11:05:21,329 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - null - ], - [ - 2, - 50359 - ] - ], - "max_length": 448, - "pad_token_id": 50257, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "transformers_version": "4.26.0.dev0" -} - -[INFO|feature_extraction_utils.py:368] 2023-07-20 11:05:22,382 >> Feature extractor saved in ./preprocessor_config.json -[INFO|tokenization_utils_base.py:2157] 2023-07-20 11:05:22,382 >> tokenizer config file saved in ./tokenizer_config.json -[INFO|tokenization_utils_base.py:2164] 2023-07-20 11:05:22,382 >> Special tokens file saved in ./special_tokens_map.json -[INFO|tokenization_utils_base.py:2210] 2023-07-20 11:05:22,382 >> added tokens file saved in ./added_tokens.json -[INFO|configuration_utils.py:447] 2023-07-20 11:05:22,423 >> Configuration saved in ./config.json -[INFO|image_processing_utils.py:294] 2023-07-20 11:05:22,424 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:462] 2023-07-20 11:05:22,428 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-20 11:05:22,434 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - "feature_size": 80, - "hop_length": 160, - "mel_filters": [ - [ - -0.0, - 0.02486259490251541, - 0.0, - 0.0, - 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0.000897518009878695, - 0.0004487590049393475, - 0.0 - ] - ], - "n_fft": 400, - "n_samples": 480000, - "nb_max_frames": 3000, - "padding_side": "right", - "padding_value": 0.0, - "processor_class": "WhisperProcessor", - "return_attention_mask": false, - "sampling_rate": 16000 -} - -[INFO|tokenization_utils_base.py:1797] 2023-07-20 11:05:22,434 >> loading file vocab.json -[INFO|tokenization_utils_base.py:1797] 2023-07-20 11:05:22,434 >> loading file tokenizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-20 11:05:22,434 >> loading file merges.txt -[INFO|tokenization_utils_base.py:1797] 2023-07-20 11:05:22,434 >> loading file normalizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-20 11:05:22,434 >> loading file added_tokens.json -[INFO|tokenization_utils_base.py:1797] 2023-07-20 11:05:22,434 >> loading file special_tokens_map.json -[INFO|tokenization_utils_base.py:1797] 2023-07-20 11:05:22,434 >> loading file tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,463 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,463 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,463 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,464 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-20 11:05:22,465 >> Adding <|notimestamps|> to the vocabulary -/home/xezpeleta/dev/whisper-small-eu-v2/./ is already a clone of https://huggingface.co/xezpeleta/whisper-small-eu-v2. Make sure you pull the latest changes with `repo.git_pull()`. -07/20/2023 11:05:24 - WARNING - huggingface_hub.repository - /home/xezpeleta/dev/whisper-small-eu-v2/./ is already a clone of https://huggingface.co/xezpeleta/whisper-small-eu-v2. Make sure you pull the latest changes with `repo.git_pull()`. -[INFO|trainer.py:511] 2023-07-20 11:05:26,572 >> max_steps is given, it will override any value given in num_train_epochs -[INFO|trainer.py:565] 2023-07-20 11:05:26,572 >> Using cuda_amp half precision backend -/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning - warnings.warn( -[INFO|trainer.py:1641] 2023-07-20 11:05:26,581 >> ***** Running training ***** -[INFO|trainer.py:1642] 2023-07-20 11:05:26,581 >> Num examples = 160000 -[INFO|trainer.py:1643] 2023-07-20 11:05:26,581 >> Num Epochs = 9223372036854775807 -[INFO|trainer.py:1644] 2023-07-20 11:05:26,581 >> Instantaneous batch size per device = 32 -[INFO|trainer.py:1645] 2023-07-20 11:05:26,581 >> Total train batch size (w. parallel, distributed & accumulation) = 32 -[INFO|trainer.py:1646] 2023-07-20 11:05:26,581 >> Gradient Accumulation steps = 1 -[INFO|trainer.py:1647] 2023-07-20 11:05:26,581 >> Total optimization steps = 5000 -[INFO|trainer.py:1648] 2023-07-20 11:05:26,582 >> Number of trainable parameters = 241734912 - 0%| | 0/5000 [00:00> The following columns in the training set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 0%| | 1/5000 [01:01<84:57:02, 61.18s/it] 0%| | 2/5000 [01:05<38:28:27, 27.71s/it] 0%| | 3/5000 [01:10<24:02:12, 17.32s/it] 0%| | 4/5000 [01:14<16:37:41, 11.98s/it] 0%| | 5/5000 [01:17<12:25:37, 8.96s/it] 0%| | 6/5000 [01:23<10:42:07, 7.71s/it] 0%| | 7/5000 [01:26<8:52:23, 6.40s/it] 0%| | 8/5000 [01:32<8:21:02, 6.02s/it] 0%| | 9/5000 [01:35<7:20:27, 5.30s/it] 0%| | 10/5000 [01:39<6:38:28, 4.79s/it] 0%| | 11/5000 [01:43<6:09:36, 4.45s/it] 0%| | 12/5000 [01:46<5:50:02, 4.21s/it] 0%| | 13/5000 [01:52<6:33:27, 4.73s/it] 0%| | 14/5000 [01:57<6:32:33, 4.72s/it] 0%| | 15/5000 [02:02<6:46:12, 4.89s/it] 0%| | 16/5000 [02:06<6:21:44, 4.60s/it] 0%| | 17/5000 [02:10<5:57:44, 4.31s/it] 0%| | 18/5000 [02:14<6:02:55, 4.37s/it] 0%| | 19/5000 [02:19<6:16:06, 4.53s/it] 0%| | 20/5000 [02:24<6:27:20, 4.67s/it] 0%| | 21/5000 [02:29<6:30:25, 4.70s/it] 0%| | 22/5000 [02:35<7:03:53, 5.11s/it] 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4.4e-07, 'epoch': 0.01} -{'loss': 1.4728, 'learning_rate': 9.400000000000001e-07, 'epoch': 0.01} -{'loss': 1.1563, 'learning_rate': 1.44e-06, 'epoch': 0.01} -{'loss': 0.9368, 'learning_rate': 1.94e-06, 'epoch': 0.02} -{'loss': 0.8889, 'learning_rate': 2.4400000000000004e-06, 'epoch': 0.03} -{'loss': 0.8114, 'learning_rate': 2.9400000000000002e-06, 'epoch': 0.03} -{'loss': 0.6924, 'learning_rate': 3.44e-06, 'epoch': 0.04} -{'loss': 0.661, 'learning_rate': 3.94e-06, 'epoch': 0.04} -{'loss': 0.6427, 'learning_rate': 4.440000000000001e-06, 'epoch': 0.04} -{'loss': 0.5217, 'learning_rate': 4.94e-06, 'epoch': 0.05} -{'loss': 0.4991, 'learning_rate': 5.4400000000000004e-06, 'epoch': 0.06} -{'loss': 0.4768, 'learning_rate': 5.94e-06, 'epoch': 0.06} -{'loss': 0.4632, 'learning_rate': 6.440000000000001e-06, 'epoch': 0.07} -{'loss': 0.4289, 'learning_rate': 6.9400000000000005e-06, 'epoch': 0.07} -{'loss': 0.404, 'learning_rate': 7.440000000000001e-06, 'epoch': 0.07} -{'loss': 0.3833, 'learning_rate': 7.94e-06, 'epoch': 0.08} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.06it/s] Reading metadata...: 10918it [00:00, 20906.26it/s] - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 3.24it/s] Reading metadata...: 6591it [00:00, 20005.30it/s] - 8%|▊ | 413/5000 [32:09<18:15:35, 14.33s/it] 8%|▊ | 414/5000 [32:13<14:15:46, 11.20s/it] 8%|▊ | 415/5000 [32:18<11:42:05, 9.19s/it] 8%|▊ | 416/5000 [32:22<9:41:13, 7.61s/it] 8%|▊ | 417/5000 [32:26<8:35:16, 6.75s/it] 8%|▊ | 418/5000 [32:31<7:48:17, 6.13s/it] 8%|▊ | 419/5000 [32:35<6:56:42, 5.46s/it] 8%|▊ | 420/5000 [32:39<6:34:38, 5.17s/it] 8%|▊ | 421/5000 [32:43<6:06:45, 4.81s/it] 8%|▊ | 422/5000 [32:48<5:59:32, 4.71s/it] 8%|▊ | 423/5000 [32:53<5:59:16, 4.71s/it] 8%|▊ | 424/5000 [32:56<5:40:54, 4.47s/it] 8%|▊ | 425/5000 [33:02<6:08:56, 4.84s/it] 8%|▊ | 425/5000 [33:02<6:08:56, 4.84s/it] 9%|▊ | 426/5000 [33:06<5:53:16, 4.63s/it] 9%|▊ | 427/5000 [33:12<6:16:37, 4.94s/it] 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9.506666666666667e-06, 'epoch': 1.06} -{'loss': 0.2114, 'learning_rate': 9.451111111111112e-06, 'epoch': 1.07} -{'loss': 0.1894, 'learning_rate': 9.395555555555556e-06, 'epoch': 1.07} -{'loss': 0.1867, 'learning_rate': 9.340000000000002e-06, 'epoch': 1.08} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.07it/s] Reading metadata...: 10918it [00:00, 21045.66it/s] - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 3.26it/s] Reading metadata...: 6591it [00:00, 20102.47it/s] - 16%|█▋ | 825/5000 [1:03:13<18:49:42, 16.24s/it] 16%|█▋ | 825/5000 [1:03:13<18:49:42, 16.24s/it] 17%|█▋ | 826/5000 [1:03:17<14:45:01, 12.72s/it] 17%|█▋ | 827/5000 [1:03:21<11:40:32, 10.07s/it] 17%|█▋ | 828/5000 [1:03:25<9:33:23, 8.25s/it] 17%|█▋ | 829/5000 [1:03:29<8:02:10, 6.94s/it] 17%|█▋ | 830/5000 [1:03:34<7:18:52, 6.31s/it] 17%|█▋ | 831/5000 [1:03:38<6:41:38, 5.78s/it] 17%|█▋ | 832/5000 [1:03:43<6:19:39, 5.47s/it] 17%|█▋ | 833/5000 [1:03:48<6:13:53, 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20%|██ | 1000/5000 [1:16:09<4:45:27, 4.28s/it][INFO|trainer.py:2955] 2023-07-20 12:21:36,214 >> ***** Running Evaluation ***** -[INFO|trainer.py:2959] 2023-07-20 12:21:36,214 >> Num examples: Unknown -[INFO|trainer.py:2960] 2023-07-20 12:21:36,214 >> Batch size = 16 -{'loss': 0.1927, 'learning_rate': 9.284444444444444e-06, 'epoch': 2.0} -{'loss': 0.1951, 'learning_rate': 9.22888888888889e-06, 'epoch': 2.01} -{'loss': 0.1775, 'learning_rate': 9.173333333333334e-06, 'epoch': 2.01} -{'loss': 0.1672, 'learning_rate': 9.117777777777778e-06, 'epoch': 2.02} -{'loss': 0.1591, 'learning_rate': 9.062222222222224e-06, 'epoch': 2.02} -{'loss': 0.1703, 'learning_rate': 9.006666666666666e-06, 'epoch': 2.03} -{'loss': 0.1636, 'learning_rate': 8.951111111111112e-06, 'epoch': 2.03} -{'loss': 0.1413, 'learning_rate': 8.895555555555556e-06, 'epoch': 2.04} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 1.41it/s] Reading metadata...: 6591it [00:00, 9037.42it/s] -[INFO|trainer_utils.py:689] 2023-07-20 12:21:39,930 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 20%|██ | 1000/5000 [1:32:13<4:45:27, 4.28s/it][INFO|trainer.py:2700] 2023-07-20 12:37:39,717 >> Saving model checkpoint to ./checkpoint-1000 -[INFO|configuration_utils.py:447] 2023-07-20 12:37:39,718 >> Configuration saved in ./checkpoint-1000/config.json -[INFO|modeling_utils.py:1693] 2023-07-20 12:37:40,970 >> Model weights saved in ./checkpoint-1000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-20 12:37:40,982 >> Feature extractor saved in ./checkpoint-1000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-20 12:37:44,323 >> Feature extractor saved in ./preprocessor_config.json - 20%|██ | 1001/5000 [1:32:54<338:21:54, 304.60s/it] 20%|██ | 1002/5000 [1:32:59<238:14:15, 214.52s/it] 20%|██ | 1003/5000 [1:33:03<168:14:47, 151.54s/it] 20%|██ | 1004/5000 [1:33:07<119:00:01, 107.21s/it] 20%|██ | 1005/5000 [1:33:11<84:32:55, 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'epoch': 3.04} -{'loss': 0.0639, 'learning_rate': 7.840000000000001e-06, 'epoch': 3.05} -{'loss': 0.0544, 'learning_rate': 7.784444444444445e-06, 'epoch': 3.05} -{'loss': 0.0531, 'learning_rate': 7.72888888888889e-06, 'epoch': 3.06} -{'loss': 0.0518, 'learning_rate': 7.673333333333333e-06, 'epoch': 3.06} -{'loss': 0.0461, 'learning_rate': 7.617777777777778e-06, 'epoch': 3.07} -{'loss': 0.0424, 'learning_rate': 7.562222222222223e-06, 'epoch': 3.07} -{'loss': 0.0392, 'learning_rate': 7.506666666666668e-06, 'epoch': 3.08} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.08it/s] Reading metadata...: 10918it [00:00, 20997.49it/s] - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 3.19it/s] Reading metadata...: 6591it [00:00, 19687.45it/s] - 33%|███▎ | 1649/5000 [2:21:35<13:35:09, 14.60s/it] 33%|███▎ | 1650/5000 [2:21:39<10:46:15, 11.57s/it] 33%|███▎ | 1650/5000 [2:21:39<10:46:15, 11.57s/it] 33%|███▎ | 1651/5000 [2:21:45<9:00:27, 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examples: Unknown -[INFO|trainer.py:2960] 2023-07-20 13:53:44,622 >> Batch size = 16 -{'loss': 0.0376, 'learning_rate': 7.451111111111111e-06, 'epoch': 4.0} -{'loss': 0.0447, 'learning_rate': 7.395555555555556e-06, 'epoch': 4.01} -{'loss': 0.0362, 'learning_rate': 7.340000000000001e-06, 'epoch': 4.01} -{'loss': 0.0368, 'learning_rate': 7.284444444444445e-06, 'epoch': 4.02} -{'loss': 0.0367, 'learning_rate': 7.22888888888889e-06, 'epoch': 4.02} -{'loss': 0.0391, 'learning_rate': 7.173333333333335e-06, 'epoch': 4.03} -{'loss': 0.0331, 'learning_rate': 7.117777777777778e-06, 'epoch': 4.03} -{'loss': 0.028, 'learning_rate': 7.062222222222223e-06, 'epoch': 4.04} -{'loss': 0.0315, 'learning_rate': 7.006666666666667e-06, 'epoch': 4.04} -{'loss': 0.0308, 'learning_rate': 6.951111111111112e-06, 'epoch': 4.05} -{'loss': 0.0248, 'learning_rate': 6.8955555555555565e-06, 'epoch': 4.05} -{'loss': 0.023, 'learning_rate': 6.8400000000000014e-06, 'epoch': 4.06} -{'loss': 0.0233, 'learning_rate': 6.784444444444445e-06, 'epoch': 4.06} -{'loss': 0.0236, 'learning_rate': 6.7288888888888895e-06, 'epoch': 4.07} -{'loss': 0.0181, 'learning_rate': 6.6733333333333335e-06, 'epoch': 4.07} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:01, 1.06s/it] Reading metadata...: 6591it [00:01, 6038.24it/s] -[INFO|trainer_utils.py:689] 2023-07-20 13:53:48,489 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 40%|████ | 2000/5000 [3:04:10<3:24:32, 4.09s/it][INFO|trainer.py:2700] 2023-07-20 14:09:37,141 >> Saving model checkpoint to ./checkpoint-2000 -[INFO|configuration_utils.py:447] 2023-07-20 14:09:37,142 >> Configuration saved in ./checkpoint-2000/config.json -[INFO|modeling_utils.py:1693] 2023-07-20 14:09:38,420 >> Model weights saved in ./checkpoint-2000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-20 14:09:38,430 >> Feature extractor saved in ./checkpoint-2000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-20 14:09:43,863 >> Feature extractor saved in ./preprocessor_config.json -Several commits (2) will be pushed upstream. -{'eval_loss': 0.33755382895469666, 'eval_wer': 20.286362347604197, 'eval_runtime': 952.5181, 'eval_samples_per_second': 6.92, 'eval_steps_per_second': 0.433, 'epoch': 4.07} -07/20/2023 14:10:12 - WARNING 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[4:19:53<2:28:05, 4.44s/it][INFO|trainer.py:2955] 2023-07-20 15:25:19,810 >> ***** Running Evaluation ***** -[INFO|trainer.py:2959] 2023-07-20 15:25:19,810 >> Num examples: Unknown -[INFO|trainer.py:2960] 2023-07-20 15:25:19,810 >> Batch size = 16 -{'loss': 0.0052, 'learning_rate': 4.673333333333333e-06, 'epoch': 7.0} -{'loss': 0.005, 'learning_rate': 4.617777777777778e-06, 'epoch': 7.01} -{'loss': 0.0041, 'learning_rate': 4.562222222222222e-06, 'epoch': 7.01} -{'loss': 0.0045, 'learning_rate': 4.506666666666667e-06, 'epoch': 7.02} -{'loss': 0.0044, 'learning_rate': 4.451111111111112e-06, 'epoch': 7.02} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 1.64it/s] Reading metadata...: 6591it [00:00, 10445.80it/s] -[INFO|trainer_utils.py:689] 2023-07-20 15:25:23,135 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 60%|██████ | 3000/5000 [4:35:53<2:28:05, 4.44s/it][INFO|trainer.py:2700] 2023-07-20 15:41:20,296 >> Saving model checkpoint to ./checkpoint-3000 -[INFO|configuration_utils.py:447] 2023-07-20 15:41:20,297 >> Configuration saved in ./checkpoint-3000/config.json -[INFO|modeling_utils.py:1693] 2023-07-20 15:41:21,550 >> Model weights saved in ./checkpoint-3000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-20 15:41:21,559 >> Feature extractor saved in ./checkpoint-3000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-20 15:41:26,978 >> Feature extractor saved in ./preprocessor_config.json - 60%|██████ | 3001/5000 [4:36:36<168:48:57, 304.02s/it] 60%|██████ | 3002/5000 [4:36:41<118:57:31, 214.34s/it] 60%|██████ | 3003/5000 [4:36:45<83:59:36, 151.42s/it] 60%|██████ | 3004/5000 [4:36:50<59:31:04, 107.35s/it] 60%|██████ | 3005/5000 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'learning_rate': 4.395555555555556e-06, 'epoch': 7.03} -{'loss': 0.0041, 'learning_rate': 4.34e-06, 'epoch': 7.03} -{'loss': 0.0035, 'learning_rate': 4.284444444444445e-06, 'epoch': 7.04} -{'loss': 0.0044, 'learning_rate': 4.228888888888889e-06, 'epoch': 7.04} -{'loss': 0.0039, 'learning_rate': 4.173333333333334e-06, 'epoch': 7.05} -{'loss': 0.0031, 'learning_rate': 4.117777777777779e-06, 'epoch': 7.05} -{'loss': 0.0032, 'learning_rate': 4.062222222222223e-06, 'epoch': 7.06} -{'loss': 0.0034, 'learning_rate': 4.006666666666667e-06, 'epoch': 7.06} -{'loss': 0.0028, 'learning_rate': 3.951111111111112e-06, 'epoch': 7.07} -{'loss': 0.0032, 'learning_rate': 3.895555555555556e-06, 'epoch': 7.07} -{'loss': 0.003, 'learning_rate': 3.8400000000000005e-06, 'epoch': 7.08} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.02it/s] Reading metadata...: 10918it [00:00, 20512.76it/s] - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 3.02it/s] 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3.5622222222222224e-06, 'epoch': 8.02} -{'loss': 0.0029, 'learning_rate': 3.5066666666666673e-06, 'epoch': 8.03} -{'loss': 0.0027, 'learning_rate': 3.4511111111111113e-06, 'epoch': 8.03} -{'loss': 0.0022, 'learning_rate': 3.3955555555555558e-06, 'epoch': 8.04} -{'loss': 0.0024, 'learning_rate': 3.3400000000000006e-06, 'epoch': 8.04} -{'loss': 0.0028, 'learning_rate': 3.2844444444444447e-06, 'epoch': 8.05} -{'loss': 0.0025, 'learning_rate': 3.228888888888889e-06, 'epoch': 8.05} -{'loss': 0.0022, 'learning_rate': 3.173333333333334e-06, 'epoch': 8.06} -{'loss': 0.0021, 'learning_rate': 3.117777777777778e-06, 'epoch': 8.06} -{'loss': 0.002, 'learning_rate': 3.0622222222222225e-06, 'epoch': 8.07} -{'loss': 0.0019, 'learning_rate': 3.0066666666666674e-06, 'epoch': 8.07} -{'loss': 0.0019, 'learning_rate': 2.9511111111111114e-06, 'epoch': 8.08} -{'loss': 0.0019, 'learning_rate': 2.895555555555556e-06, 'epoch': 8.08} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 1.99it/s] Reading metadata...: 10918it [00:00, 20239.67it/s] - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 3.18it/s] Reading metadata...: 6591it [00:00, 18951.45it/s] - 74%|███████▍ | 3709/5000 [5:29:31<5:06:10, 14.23s/it] 74%|███████▍ | 3710/5000 [5:29:36<4:03:17, 11.32s/it] 74%|███████▍ | 3711/5000 [5:29:40<3:19:30, 9.29s/it] 74%|███████▍ | 3712/5000 [5:29:44<2:44:31, 7.66s/it] 74%|███████▍ | 3713/5000 [5:29:48<2:22:23, 6.64s/it] 74%|███████▍ | 3714/5000 [5:29:53<2:10:09, 6.07s/it] 74%|███████▍ | 3715/5000 [5:29:58<2:04:50, 5.83s/it] 74%|███████▍ | 3716/5000 [5:30:04<2:03:40, 5.78s/it] 74%|███████▍ | 3717/5000 [5:30:09<1:59:45, 5.60s/it] 74%|███████▍ | 3718/5000 [5:30:14<1:57:00, 5.48s/it] 74%|███████▍ | 3719/5000 [5:30:19<1:52:00, 5.25s/it] 74%|███████▍ | 3720/5000 [5:30:23<1:42:48, 4.82s/it] 74%|███████▍ | 3721/5000 [5:30:27<1:41:01, 4.74s/it] 74%|███████▍ | 3722/5000 [5:30:31<1:35:21, 4.48s/it] 74%|███████▍ | 3723/5000 [5:30:36<1:35:26, 4.48s/it] 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'learning_rate': 2.5622222222222226e-06, 'epoch': 9.03} -{'loss': 0.0017, 'learning_rate': 2.5066666666666667e-06, 'epoch': 9.03} -{'loss': 0.0018, 'learning_rate': 2.451111111111111e-06, 'epoch': 9.04} -{'loss': 0.0017, 'learning_rate': 2.3955555555555556e-06, 'epoch': 9.04} -{'loss': 0.002, 'learning_rate': 2.3400000000000005e-06, 'epoch': 9.05} -{'loss': 0.0017, 'learning_rate': 2.2844444444444445e-06, 'epoch': 9.05} -{'loss': 0.0016, 'learning_rate': 2.228888888888889e-06, 'epoch': 9.06} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 1.96it/s] Reading metadata...: 6591it [00:00, 12415.69it/s] -[INFO|trainer_utils.py:689] 2023-07-20 16:56:44,381 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 80%|████████ | 4000/5000 [6:07:23<1:15:12, 4.51s/it][INFO|trainer.py:2700] 2023-07-20 17:12:49,858 >> Saving model checkpoint to ./checkpoint-4000 -[INFO|configuration_utils.py:447] 2023-07-20 17:12:49,859 >> Configuration saved in ./checkpoint-4000/config.json -[INFO|modeling_utils.py:1693] 2023-07-20 17:12:51,133 >> Model weights saved in ./checkpoint-4000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-20 17:12:51,145 >> Feature extractor saved in ./checkpoint-4000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-20 17:12:57,138 >> Feature extractor saved in ./preprocessor_config.json - 80%|████████ | 4001/5000 [6:08:06<85:05:49, 306.66s/it] 80%|████████ | 4002/5000 [6:08:11<59:53:28, 216.04s/it] 80%|████████ | 4003/5000 [6:08:16<42:16:08, 152.63s/it] 80%|████████ | 4004/5000 [6:08:21<30:00:37, 108.47s/it] 80%|████████ | 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1.8955555555555557e-06, 'epoch': 10.01} -{'loss': 0.0015, 'learning_rate': 1.8400000000000002e-06, 'epoch': 10.01} -{'loss': 0.0015, 'learning_rate': 1.7844444444444444e-06, 'epoch': 10.02} -{'loss': 0.0014, 'learning_rate': 1.728888888888889e-06, 'epoch': 10.02} -{'loss': 0.0016, 'learning_rate': 1.6733333333333335e-06, 'epoch': 10.03} -{'loss': 0.0015, 'learning_rate': 1.6177777777777778e-06, 'epoch': 10.03} -{'loss': 0.0015, 'learning_rate': 1.5622222222222225e-06, 'epoch': 10.04} -{'loss': 0.0016, 'learning_rate': 1.506666666666667e-06, 'epoch': 10.04} -{'loss': 0.0015, 'learning_rate': 1.4511111111111112e-06, 'epoch': 10.05} -{'loss': 0.0014, 'learning_rate': 1.3955555555555556e-06, 'epoch': 10.05} -{'loss': 0.0014, 'learning_rate': 1.34e-06, 'epoch': 10.06} -{'loss': 0.0013, 'learning_rate': 1.2844444444444445e-06, 'epoch': 10.06} -{'loss': 0.0013, 'learning_rate': 1.228888888888889e-06, 'epoch': 10.07} -{'loss': 0.0013, 'learning_rate': 1.1733333333333335e-06, 'epoch': 10.07} -{'loss': 0.0013, 'learning_rate': 1.117777777777778e-06, 'epoch': 10.08} -{'loss': 0.0013, 'learning_rate': 1.0622222222222222e-06, 'epoch': 10.08} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 1.98it/s] Reading metadata...: 10918it [00:00, 20142.63it/s] - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 3.20it/s] Reading metadata...: 6591it [00:00, 19738.74it/s] - 91%|█████████ | 4533/5000 [6:48:42<2:04:25, 15.99s/it] 91%|█████████ | 4534/5000 [6:48:46<1:37:03, 12.50s/it] 91%|█████████ | 4535/5000 [6:48:50<1:16:45, 9.90s/it] 91%|█████████ | 4536/5000 [6:48:55<1:05:40, 8.49s/it] 91%|█████████ | 4537/5000 [6:49:00<56:30, 7.32s/it] 91%|█████████ | 4538/5000 [6:49:05<52:36, 6.83s/it] 91%|█████████ | 4539/5000 [6:49:10<48:20, 6.29s/it] 91%|█████████ | 4540/5000 [6:49:15<44:37, 5.82s/it] 91%|█████████ | 4541/5000 [6:49:19<40:14, 5.26s/it] 91%|█████████ | 4542/5000 [6:49:24<38:59, 5.11s/it] 91%|█████████ | 4543/5000 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12.01} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 3.35it/s] Reading metadata...: 6591it [00:00, 20693.01it/s] -[INFO|trainer_utils.py:689] 2023-07-20 18:29:31,403 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 100%|██████████| 5000/5000 [7:40:15<00:00, 4.97s/it][INFO|trainer.py:2700] 2023-07-20 18:45:41,667 >> Saving model checkpoint to ./checkpoint-5000 -[INFO|configuration_utils.py:447] 2023-07-20 18:45:41,667 >> Configuration saved in ./checkpoint-5000/config.json -[INFO|modeling_utils.py:1693] 2023-07-20 18:45:42,938 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-20 18:45:42,945 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-20 18:45:48,327 >> Feature extractor saved in ./preprocessor_config.json -[INFO|trainer.py:1892] 2023-07-20 18:46:19,265 >> - -Training completed. Do not forget to share your model on huggingface.co/models =) - - -[INFO|trainer.py:2016] 2023-07-20 18:46:19,266 >> Loading best model from ./checkpoint-4000 (score: 18.775568066750374). - 100%|██████████| 5000/5000 [7:40:53<00:00, 4.97s/it] 100%|██████████| 5000/5000 [7:40:53<00:00, 5.53s/it] -[INFO|trainer.py:2700] 2023-07-20 18:46:19,691 >> Saving model checkpoint to ./ -[INFO|configuration_utils.py:447] 2023-07-20 18:46:19,691 >> Configuration saved in ./config.json -[INFO|modeling_utils.py:1693] 2023-07-20 18:46:21,329 >> Model weights saved in ./pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-20 18:46:21,341 >> Feature extractor saved in ./preprocessor_config.json -[INFO|trainer.py:2700] 2023-07-20 18:46:21,342 >> Saving model checkpoint to ./ -[INFO|configuration_utils.py:447] 2023-07-20 18:46:21,343 >> Configuration saved in ./config.json -[INFO|modeling_utils.py:1693] 2023-07-20 18:46:22,695 >> Model weights saved in ./pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-20 18:46:22,710 >> Feature extractor saved in ./preprocessor_config.json -Several commits (2) will be pushed upstream. -{'eval_loss': 0.3913772702217102, 'eval_wer': 18.83024828871157, 'eval_runtime': 973.2149, 'eval_samples_per_second': 6.772, 'eval_steps_per_second': 0.423, 'epoch': 12.01} -{'train_runtime': 27653.1068, 'train_samples_per_second': 5.786, 'train_steps_per_second': 0.181, 'train_loss': 0.106446673027426, 'epoch': 12.01} -07/20/2023 18:46:51 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream. -The progress bars may be unreliable. -07/20/2023 18:46:51 - WARNING - huggingface_hub.repository - The progress bars may be unreliable. - Upload file pytorch_model.bin: 0%| | 1.00/922M [00:00 main - -07/20/2023 19:08:06 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-small-eu-v2 - eb496bd..9ecd845 main -> main - - Upload file pytorch_model.bin: 100%|██████████| 922M/922M [21:13<00:00, 816kB/s] Upload file pytorch_model.bin: 100%|██████████| 922M/922M [21:13<00:00, 759kB/s] - - Upload file runs/Jul20_11-05-05_tknadmin-System-Product-Name/events.out.tfevents.1689843926.tknadmin-System-Product-Name.2399.0: 100%|██████████| 36.7k/36.7k [21:13<00:00, 16.0MB/s] Upload file runs/Jul20_11-05-05_tknadmin-System-Product-Name/events.out.tfevents.1689843926.tknadmin-System-Product-Name.2399.0: 100%|██████████| 36.7k/36.7k [21:13<00:00, 29.5B/s] -To https://huggingface.co/xezpeleta/whisper-small-eu-v2 - 9ecd845..6d7e844 main -> main - -07/20/2023 19:08:10 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-small-eu-v2 - 9ecd845..6d7e844 main -> main - -***** train metrics ***** - epoch = 12.01 - train_loss = 0.1064 - train_runtime = 7:40:53.10 - train_samples_per_second = 5.786 - train_steps_per_second = 0.181 -07/20/2023 19:08:13 - INFO - __main__ - *** Evaluate *** -[INFO|trainer.py:2955] 2023-07-20 19:08:13,052 >> ***** Running Evaluation ***** -[INFO|trainer.py:2959] 2023-07-20 19:08:13,052 >> Num examples: Unknown -[INFO|trainer.py:2960] 2023-07-20 19:08:13,052 >> Batch size = 16 - Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 2.82it/s] Reading metadata...: 6591it [00:00, 16978.63it/s] -[INFO|trainer_utils.py:689] 2023-07-20 19:08:16,031 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. -[INFO|trainer.py:2700] 2023-07-20 19:24:05,011 >> Saving model checkpoint to ./ -[INFO|configuration_utils.py:447] 2023-07-20 19:24:05,011 >> Configuration saved in ./config.json -[INFO|modeling_utils.py:1693] 2023-07-20 19:24:06,334 >> Model weights saved in ./pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-20 19:24:06,347 >> Feature extractor saved in ./preprocessor_config.json -***** eval metrics ***** - epoch = 12.01 - eval_loss = 0.3812 - eval_runtime = 0:15:51.95 - eval_samples_per_second = 6.924 - eval_steps_per_second = 0.433 - eval_wer = 18.7756 - Upload file runs/Jul20_11-05-05_tknadmin-System-Product-Name/events.out.tfevents.1689873845.tknadmin-System-Product-Name.2399.2: 100%|██████████| 358/358 [00:00 main - -07/20/2023 19:24:13 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-small-eu-v2 - 6d7e844..53e38ec main -> main - - Upload file runs/Jul20_11-05-05_tknadmin-System-Product-Name/events.out.tfevents.1689873845.tknadmin-System-Product-Name.2399.2: 100%|██████████| 358/358 [00:01 main - -07/20/2023 19:24:17 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-small-eu-v2 - 53e38ec..2dd1d28 main -> main - -The push command with PID 1253823 failed. -07/20/2023 19:24:20 - ERROR - huggingface_hub.repository - The push command with PID 1253823 failed. -EOF -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-small-eu-v2' - -07/20/2023 19:24:20 - ERROR - huggingface_hub.repository - EOF -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-small-eu-v2' - -07/21/2023 11:17:05 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True -07/21/2023 11:17:05 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul21_11-17-05_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=16, -per_device_train_batch_size=32, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/21/2023 11:17:05 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul21_11-17-05_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=16, -per_device_train_batch_size=32, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/21/2023 11:17:08 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/21/2023 11:17:11 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/21/2023 11:17:14 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 - Downloading: 0%| | 0.00/1.99k [00:00> loading configuration file config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/config.json -[INFO|configuration_utils.py:706] 2023-07-21 11:17:15,473 >> Model config WhisperConfig { - "_name_or_path": "openai/whisper-medium", - "activation_dropout": 0.0, - "activation_function": "gelu", - "architectures": [ - "WhisperForConditionalGeneration" - ], - "attention_dropout": 0.0, - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "d_model": 1024, - "decoder_attention_heads": 16, - "decoder_ffn_dim": 4096, - "decoder_layerdrop": 0.0, - "decoder_layers": 24, - "decoder_start_token_id": 50258, - "dropout": 0.0, - "encoder_attention_heads": 16, - "encoder_ffn_dim": 4096, - "encoder_layerdrop": 0.0, - "encoder_layers": 24, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - 50259 - ], - [ - 2, - 50359 - ], - [ - 3, - 50363 - ] - ], - "init_std": 0.02, - "is_encoder_decoder": true, - "max_length": 448, - "max_source_positions": 1500, - "max_target_positions": 448, - "model_type": "whisper", - "num_hidden_layers": 24, - "num_mel_bins": 80, - "pad_token_id": 50257, - "scale_embedding": false, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "torch_dtype": "float32", - "transformers_version": "4.26.0.dev0", - "use_cache": true, - "vocab_size": 51865 -} - - Downloading: 0%| | 0.00/185k [00:00> loading configuration file preprocessor_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-21 11:17:16,123 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - "feature_size": 80, - "hop_length": 160, - "mel_filters": [ - [ - -0.0, - 0.02486259490251541, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 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0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.000366741674952209, - 0.0008330700220540166, - 0.0012993983691558242, - 0.0017657268326729536, - 0.0022320549469441175, - 0.002698383294045925, - 0.0031647118739783764, - 0.003141313325613737, - 0.002692554146051407, - 0.0022437951993197203, - 0.00179503601975739, - 0.0013462770730257034, - 0.000897518009878695, - 0.0004487590049393475, - 0.0 - ] - ], - "n_fft": 400, - "n_samples": 480000, - "nb_max_frames": 3000, - "padding_side": "right", - "padding_value": 0.0, - "processor_class": "WhisperProcessor", - "return_attention_mask": false, - "sampling_rate": 16000 -} - - Downloading: 0%| | 0.00/843 [00:00> loading file vocab.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/vocab.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:17:20,673 >> loading file tokenizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/tokenizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:17:20,673 >> loading file merges.txt from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/merges.txt -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:17:20,673 >> loading file normalizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/normalizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:17:20,673 >> loading file added_tokens.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/added_tokens.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:17:20,673 >> loading file special_tokens_map.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/special_tokens_map.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:17:20,673 >> loading file tokenizer_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,706 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,706 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,706 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,706 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,706 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,707 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:17:20,708 >> Adding <|notimestamps|> to the vocabulary - Downloading: 0%| | 0.00/3.06G [00:00> loading weights file pytorch_model.bin from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/pytorch_model.bin -[INFO|configuration_utils.py:523] 2023-07-21 11:21:49,268 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "max_length": 448, - "pad_token_id": 50257, - "transformers_version": "4.26.0.dev0", - "use_cache": false -} - -[INFO|modeling_utils.py:2842] 2023-07-21 11:21:52,715 >> All model checkpoint weights were used when initializing WhisperForConditionalGeneration. - -[INFO|modeling_utils.py:2850] 2023-07-21 11:21:52,715 >> All the weights of WhisperForConditionalGeneration were initialized from the model checkpoint at openai/whisper-medium. -If your task is similar to the task the model of the checkpoint was trained on, you can already use WhisperForConditionalGeneration for predictions without further training. - Downloading: 0%| | 0.00/3.48k [00:00> loading configuration file generation_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/generation_config.json -[INFO|configuration_utils.py:523] 2023-07-21 11:21:53,128 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - null - ], - [ - 2, - 50359 - ] - ], - "max_length": 448, - "pad_token_id": 50257, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "transformers_version": "4.26.0.dev0" -} - -[INFO|feature_extraction_utils.py:368] 2023-07-21 11:21:54,174 >> Feature extractor saved in ./preprocessor_config.json -[INFO|tokenization_utils_base.py:2157] 2023-07-21 11:21:54,174 >> tokenizer config file saved in ./tokenizer_config.json -[INFO|tokenization_utils_base.py:2164] 2023-07-21 11:21:54,175 >> Special tokens file saved in ./special_tokens_map.json -[INFO|tokenization_utils_base.py:2210] 2023-07-21 11:21:54,175 >> added tokens file saved in ./added_tokens.json -[INFO|configuration_utils.py:447] 2023-07-21 11:21:54,210 >> Configuration saved in ./config.json -[INFO|image_processing_utils.py:294] 2023-07-21 11:21:54,211 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:462] 2023-07-21 11:21:54,215 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-21 11:21:54,221 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - "feature_size": 80, - "hop_length": 160, - "mel_filters": [ - [ - -0.0, - 0.02486259490251541, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, 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0.0017657268326729536, - 0.0022320549469441175, - 0.002698383294045925, - 0.0031647118739783764, - 0.003141313325613737, - 0.002692554146051407, - 0.0022437951993197203, - 0.00179503601975739, - 0.0013462770730257034, - 0.000897518009878695, - 0.0004487590049393475, - 0.0 - ] - ], - "n_fft": 400, - "n_samples": 480000, - "nb_max_frames": 3000, - "padding_side": "right", - "padding_value": 0.0, - "processor_class": "WhisperProcessor", - "return_attention_mask": false, - "sampling_rate": 16000 -} - -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:21:54,221 >> loading file vocab.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:21:54,221 >> loading file tokenizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:21:54,221 >> loading file merges.txt -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:21:54,221 >> loading file normalizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:21:54,221 >> loading file added_tokens.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:21:54,221 >> loading file special_tokens_map.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:21:54,221 >> loading file tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,250 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,251 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:21:54,252 >> Adding <|notimestamps|> to the vocabulary -/home/xezpeleta/dev/whisper-medium-eu/./ is already a clone of https://huggingface.co/xezpeleta/whisper-medium-eu. Make sure you pull the latest changes with `repo.git_pull()`. -07/21/2023 11:21:56 - WARNING - huggingface_hub.repository - /home/xezpeleta/dev/whisper-medium-eu/./ is already a clone of https://huggingface.co/xezpeleta/whisper-medium-eu. Make sure you pull the latest changes with `repo.git_pull()`. -Traceback (most recent call last): - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/huggingface_hub/repository.py", line 1088, in git_pull - result = run_subprocess(command, self.local_dir) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/huggingface_hub/utils/_subprocess.py", line 61, in run_subprocess - return subprocess.run( - File "/usr/lib/python3.10/subprocess.py", line 524, in run - raise CalledProcessError(retcode, process.args, -subprocess.CalledProcessError: Command '['git', 'pull']' returned non-zero exit status 128. - -During handling of the above exception, another exception occurred: - -Traceback (most recent call last): - File "/home/xezpeleta/dev/whisper-medium-eu/run_speech_recognition_seq2seq_streaming.py", line 629, in - main() - File "/home/xezpeleta/dev/whisper-medium-eu/run_speech_recognition_seq2seq_streaming.py", line 560, in main - trainer = Seq2SeqTrainer( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/trainer.py", line 497, in __init__ - self.init_git_repo(at_init=True) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/trainer.py", line 3340, in init_git_repo - self.repo.git_pull() - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/huggingface_hub/repository.py", line 1091, in git_pull - raise EnvironmentError(exc.stderr) -OSError: warning: no common commits -From https://huggingface.co/xezpeleta/whisper-medium-eu - + 2dd1d28...a64b8b4 main -> origin/main (forced update) -hint: You have divergent branches and need to specify how to reconcile them. -hint: You can do so by running one of the following commands sometime before -hint: your next pull: -hint: -hint: git config pull.rebase false # merge (the default strategy) -hint: git config pull.rebase true # rebase -hint: git config pull.ff only # fast-forward only -hint: -hint: You can replace "git config" with "git config --global" to set a default -hint: preference for all repositories. You can also pass --rebase, --no-rebase, -hint: or --ff-only on the command line to override the configured default per -hint: invocation. -fatal: Need to specify how to reconcile divergent branches. - -07/21/2023 11:27:21 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True -07/21/2023 11:27:21 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul21_11-27-21_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=16, -per_device_train_batch_size=32, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/21/2023 11:27:21 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul21_11-27-21_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=16, -per_device_train_batch_size=32, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/21/2023 11:27:24 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/21/2023 11:27:26 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/21/2023 11:27:29 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -[INFO|configuration_utils.py:654] 2023-07-21 11:27:30,028 >> loading configuration file config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/config.json -[INFO|configuration_utils.py:706] 2023-07-21 11:27:30,032 >> Model config WhisperConfig { - "_name_or_path": "openai/whisper-medium", - "activation_dropout": 0.0, - "activation_function": "gelu", - "architectures": [ - "WhisperForConditionalGeneration" - ], - "attention_dropout": 0.0, - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "d_model": 1024, - "decoder_attention_heads": 16, - "decoder_ffn_dim": 4096, - "decoder_layerdrop": 0.0, - "decoder_layers": 24, - "decoder_start_token_id": 50258, - "dropout": 0.0, - "encoder_attention_heads": 16, - "encoder_ffn_dim": 4096, - "encoder_layerdrop": 0.0, - "encoder_layers": 24, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - 50259 - ], - [ - 2, - 50359 - ], - [ - 3, - 50363 - ] - ], - "init_std": 0.02, - "is_encoder_decoder": true, - "max_length": 448, - "max_source_positions": 1500, - "max_target_positions": 448, - "model_type": "whisper", - "num_hidden_layers": 24, - "num_mel_bins": 80, - "pad_token_id": 50257, - "scale_embedding": false, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "torch_dtype": "float32", - "transformers_version": "4.26.0.dev0", - "use_cache": true, - "vocab_size": 51865 -} - -[INFO|feature_extraction_utils.py:464] 2023-07-21 11:27:30,245 >> loading configuration file preprocessor_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-21 11:27:30,259 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - 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0.003141313325613737, - 0.002692554146051407, - 0.0022437951993197203, - 0.00179503601975739, - 0.0013462770730257034, - 0.000897518009878695, - 0.0004487590049393475, - 0.0 - ] - ], - "n_fft": 400, - "n_samples": 480000, - "nb_max_frames": 3000, - "padding_side": "right", - "padding_value": 0.0, - "processor_class": "WhisperProcessor", - "return_attention_mask": false, - "sampling_rate": 16000 -} - -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:27:30,468 >> loading file vocab.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/vocab.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:27:30,468 >> loading file tokenizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/tokenizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:27:30,468 >> loading file merges.txt from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/merges.txt -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:27:30,468 >> loading file normalizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/normalizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:27:30,468 >> loading file added_tokens.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/added_tokens.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:27:30,468 >> loading file special_tokens_map.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/special_tokens_map.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:27:30,468 >> loading file tokenizer_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,524 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,525 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,526 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:30,526 >> Adding <|notimestamps|> to the vocabulary -[INFO|modeling_utils.py:2264] 2023-07-21 11:27:30,528 >> loading weights file pytorch_model.bin from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/pytorch_model.bin -[INFO|configuration_utils.py:523] 2023-07-21 11:27:31,277 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "max_length": 448, - "pad_token_id": 50257, - "transformers_version": "4.26.0.dev0", - "use_cache": false -} - -[INFO|modeling_utils.py:2842] 2023-07-21 11:27:34,674 >> All model checkpoint weights were used when initializing WhisperForConditionalGeneration. - -[INFO|modeling_utils.py:2850] 2023-07-21 11:27:34,674 >> All the weights of WhisperForConditionalGeneration were initialized from the model checkpoint at openai/whisper-medium. -If your task is similar to the task the model of the checkpoint was trained on, you can already use WhisperForConditionalGeneration for predictions without further training. -[INFO|configuration_utils.py:487] 2023-07-21 11:27:34,869 >> loading configuration file generation_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/generation_config.json -[INFO|configuration_utils.py:523] 2023-07-21 11:27:34,870 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - null - ], - [ - 2, - 50359 - ] - ], - "max_length": 448, - "pad_token_id": 50257, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "transformers_version": "4.26.0.dev0" -} - -[INFO|feature_extraction_utils.py:368] 2023-07-21 11:27:36,100 >> Feature extractor saved in ./preprocessor_config.json -[INFO|tokenization_utils_base.py:2157] 2023-07-21 11:27:36,100 >> tokenizer config file saved in ./tokenizer_config.json -[INFO|tokenization_utils_base.py:2164] 2023-07-21 11:27:36,100 >> Special tokens file saved in ./special_tokens_map.json -[INFO|tokenization_utils_base.py:2210] 2023-07-21 11:27:36,101 >> added tokens file saved in ./added_tokens.json -[INFO|configuration_utils.py:447] 2023-07-21 11:27:36,140 >> Configuration saved in ./config.json -[INFO|image_processing_utils.py:294] 2023-07-21 11:27:36,141 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:462] 2023-07-21 11:27:36,145 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-21 11:27:36,151 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - "feature_size": 80, - "hop_length": 160, - "mel_filters": [ - [ - -0.0, - 0.02486259490251541, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 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-[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:27:36,151 >> loading file vocab.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:27:36,151 >> loading file tokenizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:27:36,151 >> loading file merges.txt -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:27:36,151 >> loading file normalizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:27:36,151 >> loading file added_tokens.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:27:36,151 >> loading file special_tokens_map.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:27:36,151 >> loading file tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,180 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,180 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,180 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,180 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,180 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,180 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,180 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,180 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,180 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,181 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:27:36,182 >> Adding <|notimestamps|> to the vocabulary -/home/xezpeleta/dev/whisper-medium-eu/./ is already a clone of https://huggingface.co/xezpeleta/whisper-medium-eu. Make sure you pull the latest changes with `repo.git_pull()`. -07/21/2023 11:27:37 - WARNING - huggingface_hub.repository - /home/xezpeleta/dev/whisper-medium-eu/./ is already a clone of https://huggingface.co/xezpeleta/whisper-medium-eu. Make sure you pull the latest changes with `repo.git_pull()`. -[INFO|trainer.py:511] 2023-07-21 11:27:40,080 >> max_steps is given, it will override any value given in num_train_epochs -[INFO|trainer.py:565] 2023-07-21 11:27:40,080 >> Using cuda_amp half precision backend -/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning - warnings.warn( -[INFO|trainer.py:1641] 2023-07-21 11:27:40,089 >> ***** Running training ***** -[INFO|trainer.py:1642] 2023-07-21 11:27:40,089 >> Num examples = 160000 -[INFO|trainer.py:1643] 2023-07-21 11:27:40,089 >> Num Epochs = 9223372036854775807 -[INFO|trainer.py:1644] 2023-07-21 11:27:40,089 >> Instantaneous batch size per device = 32 -[INFO|trainer.py:1645] 2023-07-21 11:27:40,089 >> Total train batch size (w. parallel, distributed & accumulation) = 32 -[INFO|trainer.py:1646] 2023-07-21 11:27:40,089 >> Gradient Accumulation steps = 1 -[INFO|trainer.py:1647] 2023-07-21 11:27:40,089 >> Total optimization steps = 5000 -[INFO|trainer.py:1648] 2023-07-21 11:27:40,091 >> Number of trainable parameters = 763857920 - 0%| | 0/5000 [00:00> The following columns in the training set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. -Traceback (most recent call last): - File "/home/xezpeleta/dev/whisper-medium-eu/run_speech_recognition_seq2seq_streaming.py", line 629, in - main() - File "/home/xezpeleta/dev/whisper-medium-eu/run_speech_recognition_seq2seq_streaming.py", line 578, in main - train_result = trainer.train(resume_from_checkpoint=checkpoint) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/trainer.py", line 1534, in train - return inner_training_loop( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/trainer.py", line 1782, in _inner_training_loop - tr_loss_step = self.training_step(model, inputs) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/trainer.py", line 2540, in training_step - self.scaler.scale(loss).backward() - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/torch/_tensor.py", line 488, in backward - torch.autograd.backward( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/torch/autograd/__init__.py", line 197, in backward - Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/torch/autograd/function.py", line 267, in apply - return user_fn(self, *args) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/torch/utils/checkpoint.py", line 157, in backward - torch.autograd.backward(outputs_with_grad, args_with_grad) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/torch/autograd/__init__.py", line 197, in backward - Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass -torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.29 GiB (GPU 0; 23.66 GiB total capacity; 17.08 GiB already allocated; 757.00 MiB free; 21.38 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF - 0%| | 0/5000 [00:48, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul21_11-33-09_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=8, -per_device_train_batch_size=16, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/21/2023 11:33:09 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul21_11-33-09_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=8, -per_device_train_batch_size=16, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/21/2023 11:33:12 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/21/2023 11:33:14 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/21/2023 11:33:17 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -[INFO|configuration_utils.py:654] 2023-07-21 11:33:18,038 >> loading configuration file config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/config.json -[INFO|configuration_utils.py:706] 2023-07-21 11:33:18,042 >> Model config WhisperConfig { - "_name_or_path": "openai/whisper-medium", - "activation_dropout": 0.0, - "activation_function": "gelu", - "architectures": [ - "WhisperForConditionalGeneration" - ], - "attention_dropout": 0.0, - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "d_model": 1024, - "decoder_attention_heads": 16, - "decoder_ffn_dim": 4096, - "decoder_layerdrop": 0.0, - "decoder_layers": 24, - "decoder_start_token_id": 50258, - "dropout": 0.0, - "encoder_attention_heads": 16, - "encoder_ffn_dim": 4096, - "encoder_layerdrop": 0.0, - "encoder_layers": 24, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - 50259 - ], - [ - 2, - 50359 - ], - [ - 3, - 50363 - ] - ], - "init_std": 0.02, - "is_encoder_decoder": true, - "max_length": 448, - "max_source_positions": 1500, - "max_target_positions": 448, - "model_type": "whisper", - "num_hidden_layers": 24, - "num_mel_bins": 80, - "pad_token_id": 50257, - "scale_embedding": false, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "torch_dtype": "float32", - "transformers_version": "4.26.0.dev0", - "use_cache": true, - "vocab_size": 51865 -} - -[INFO|feature_extraction_utils.py:464] 2023-07-21 11:33:18,252 >> loading configuration file preprocessor_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-21 11:33:18,266 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - "feature_size": 80, - "hop_length": 160, - "mel_filters": [ - [ - -0.0, - 0.02486259490251541, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, 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"padding_value": 0.0, - "processor_class": "WhisperProcessor", - "return_attention_mask": false, - "sampling_rate": 16000 -} - -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:33:18,476 >> loading file vocab.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/vocab.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:33:18,476 >> loading file tokenizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/tokenizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:33:18,476 >> loading file merges.txt from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/merges.txt -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:33:18,476 >> loading file normalizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/normalizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:33:18,476 >> loading file added_tokens.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/added_tokens.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:33:18,476 >> loading file special_tokens_map.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/special_tokens_map.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:33:18,476 >> loading file tokenizer_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,531 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:18,532 >> Adding <|notimestamps|> to the vocabulary -[INFO|modeling_utils.py:2264] 2023-07-21 11:33:18,534 >> loading weights file pytorch_model.bin from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/pytorch_model.bin -[INFO|configuration_utils.py:523] 2023-07-21 11:33:19,217 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "max_length": 448, - "pad_token_id": 50257, - "transformers_version": "4.26.0.dev0", - "use_cache": false -} - -[INFO|modeling_utils.py:2842] 2023-07-21 11:33:22,617 >> All model checkpoint weights were used when initializing WhisperForConditionalGeneration. - -[INFO|modeling_utils.py:2850] 2023-07-21 11:33:22,617 >> All the weights of WhisperForConditionalGeneration were initialized from the model checkpoint at openai/whisper-medium. -If your task is similar to the task the model of the checkpoint was trained on, you can already use WhisperForConditionalGeneration for predictions without further training. -[INFO|configuration_utils.py:487] 2023-07-21 11:33:23,003 >> loading configuration file generation_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/generation_config.json -[INFO|configuration_utils.py:523] 2023-07-21 11:33:23,003 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - null - ], - [ - 2, - 50359 - ] - ], - "max_length": 448, - "pad_token_id": 50257, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "transformers_version": "4.26.0.dev0" -} - -[INFO|feature_extraction_utils.py:368] 2023-07-21 11:33:24,021 >> Feature extractor saved in ./preprocessor_config.json -[INFO|tokenization_utils_base.py:2157] 2023-07-21 11:33:24,022 >> tokenizer config file saved in ./tokenizer_config.json -[INFO|tokenization_utils_base.py:2164] 2023-07-21 11:33:24,022 >> Special tokens file saved in ./special_tokens_map.json -[INFO|tokenization_utils_base.py:2210] 2023-07-21 11:33:24,022 >> added tokens file saved in ./added_tokens.json -[INFO|configuration_utils.py:447] 2023-07-21 11:33:24,061 >> Configuration saved in ./config.json -[INFO|image_processing_utils.py:294] 2023-07-21 11:33:24,063 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:462] 2023-07-21 11:33:24,067 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-21 11:33:24,072 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - "feature_size": 80, - "hop_length": 160, - "mel_filters": [ - [ - -0.0, - 0.02486259490251541, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, 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0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.000366741674952209, - 0.0008330700220540166, - 0.0012993983691558242, - 0.0017657268326729536, - 0.0022320549469441175, - 0.002698383294045925, - 0.0031647118739783764, - 0.003141313325613737, - 0.002692554146051407, - 0.0022437951993197203, - 0.00179503601975739, - 0.0013462770730257034, - 0.000897518009878695, - 0.0004487590049393475, - 0.0 - ] - ], - "n_fft": 400, - "n_samples": 480000, - "nb_max_frames": 3000, - "padding_side": "right", - "padding_value": 0.0, - "processor_class": "WhisperProcessor", - "return_attention_mask": false, - "sampling_rate": 16000 -} - -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:33:24,073 >> loading file vocab.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:33:24,073 >> loading file tokenizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:33:24,073 >> loading file merges.txt -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:33:24,073 >> loading file normalizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:33:24,073 >> loading file added_tokens.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:33:24,073 >> loading file special_tokens_map.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:33:24,073 >> loading file tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,102 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,102 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,102 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,102 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,102 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,102 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,102 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,103 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:33:24,104 >> Adding <|notimestamps|> to the vocabulary -/home/xezpeleta/dev/whisper-medium-eu/./ is already a clone of https://huggingface.co/xezpeleta/whisper-medium-eu. Make sure you pull the latest changes with `repo.git_pull()`. -07/21/2023 11:33:25 - WARNING - huggingface_hub.repository - /home/xezpeleta/dev/whisper-medium-eu/./ is already a clone of https://huggingface.co/xezpeleta/whisper-medium-eu. Make sure you pull the latest changes with `repo.git_pull()`. -[INFO|trainer.py:511] 2023-07-21 11:33:27,987 >> max_steps is given, it will override any value given in num_train_epochs -[INFO|trainer.py:565] 2023-07-21 11:33:27,987 >> Using cuda_amp half precision backend -/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning - warnings.warn( -[INFO|trainer.py:1641] 2023-07-21 11:33:27,999 >> ***** Running training ***** -[INFO|trainer.py:1642] 2023-07-21 11:33:27,999 >> Num examples = 80000 -[INFO|trainer.py:1643] 2023-07-21 11:33:27,999 >> Num Epochs = 9223372036854775807 -[INFO|trainer.py:1644] 2023-07-21 11:33:27,999 >> Instantaneous batch size per device = 16 -[INFO|trainer.py:1645] 2023-07-21 11:33:27,999 >> Total train batch size (w. parallel, distributed & accumulation) = 16 -[INFO|trainer.py:1646] 2023-07-21 11:33:27,999 >> Gradient Accumulation steps = 1 -[INFO|trainer.py:1647] 2023-07-21 11:33:27,999 >> Total optimization steps = 5000 -[INFO|trainer.py:1648] 2023-07-21 11:33:28,001 >> Number of trainable parameters = 763857920 - 0%| | 0/5000 [00:00> The following columns in the training set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 0%| | 1/5000 [00:45<63:36:31, 45.81s/it] 0%| | 2/5000 [00:49<29:19:58, 21.13s/it] 0%| | 3/5000 [00:53<18:18:16, 13.19s/it]Traceback (most recent call last): - File "/home/xezpeleta/dev/whisper-medium-eu/run_speech_recognition_seq2seq_streaming.py", line 629, in - main() - File "/home/xezpeleta/dev/whisper-medium-eu/run_speech_recognition_seq2seq_streaming.py", line 578, in main - train_result = trainer.train(resume_from_checkpoint=checkpoint) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/trainer.py", line 1534, in train - return inner_training_loop( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/trainer.py", line 1782, in _inner_training_loop - tr_loss_step = self.training_step(model, inputs) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/trainer.py", line 2540, in training_step - self.scaler.scale(loss).backward() - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/torch/_tensor.py", line 488, in backward - torch.autograd.backward( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/torch/autograd/__init__.py", line 197, in backward - Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/torch/autograd/function.py", line 267, in apply - return user_fn(self, *args) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/torch/utils/checkpoint.py", line 157, in backward - torch.autograd.backward(outputs_with_grad, args_with_grad) - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/torch/autograd/__init__.py", line 197, in backward - Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass -torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.15 GiB (GPU 0; 23.66 GiB total capacity; 19.78 GiB already allocated; 287.00 MiB free; 21.79 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF - 0%| | 3/5000 [00:55<25:35:31, 18.44s/it] -07/21/2023 11:34:59 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True -07/21/2023 11:34:59 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul21_11-34-59_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=8, -per_device_train_batch_size=4, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/21/2023 11:34:59 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul21_11-34-59_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=8, -per_device_train_batch_size=4, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/21/2023 11:35:01 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/21/2023 11:35:04 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/21/2023 11:35:07 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -[INFO|configuration_utils.py:654] 2023-07-21 11:35:07,768 >> loading configuration file config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/config.json -[INFO|configuration_utils.py:706] 2023-07-21 11:35:07,772 >> Model config WhisperConfig { - "_name_or_path": "openai/whisper-medium", - "activation_dropout": 0.0, - "activation_function": "gelu", - "architectures": [ - "WhisperForConditionalGeneration" - ], - "attention_dropout": 0.0, - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "d_model": 1024, - "decoder_attention_heads": 16, - "decoder_ffn_dim": 4096, - "decoder_layerdrop": 0.0, - "decoder_layers": 24, - "decoder_start_token_id": 50258, - "dropout": 0.0, - "encoder_attention_heads": 16, - "encoder_ffn_dim": 4096, - "encoder_layerdrop": 0.0, - "encoder_layers": 24, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - 50259 - ], - [ - 2, - 50359 - ], - [ - 3, - 50363 - ] - ], - "init_std": 0.02, - "is_encoder_decoder": true, - "max_length": 448, - "max_source_positions": 1500, - "max_target_positions": 448, - "model_type": "whisper", - "num_hidden_layers": 24, - "num_mel_bins": 80, - "pad_token_id": 50257, - "scale_embedding": false, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "torch_dtype": "float32", - "transformers_version": "4.26.0.dev0", - "use_cache": true, - "vocab_size": 51865 -} - -[INFO|feature_extraction_utils.py:464] 2023-07-21 11:35:07,990 >> loading configuration file preprocessor_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-21 11:35:08,004 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - "feature_size": 80, - "hop_length": 160, - "mel_filters": [ - [ - -0.0, - 0.02486259490251541, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 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/home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/merges.txt -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:35:08,212 >> loading file normalizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/normalizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:35:08,212 >> loading file added_tokens.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/added_tokens.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:35:08,212 >> loading file special_tokens_map.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/special_tokens_map.json -[INFO|tokenization_utils_base.py:1799] 2023-07-21 11:35:08,212 >> loading file tokenizer_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,267 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,268 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,269 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,269 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,269 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:08,269 >> Adding <|notimestamps|> to the vocabulary -[INFO|modeling_utils.py:2264] 2023-07-21 11:35:08,271 >> loading weights file pytorch_model.bin from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/pytorch_model.bin -[INFO|configuration_utils.py:523] 2023-07-21 11:35:08,962 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "max_length": 448, - "pad_token_id": 50257, - "transformers_version": "4.26.0.dev0", - "use_cache": false -} - -[INFO|modeling_utils.py:2842] 2023-07-21 11:35:15,981 >> All model checkpoint weights were used when initializing WhisperForConditionalGeneration. - -[INFO|modeling_utils.py:2850] 2023-07-21 11:35:15,981 >> All the weights of WhisperForConditionalGeneration were initialized from the model checkpoint at openai/whisper-medium. -If your task is similar to the task the model of the checkpoint was trained on, you can already use WhisperForConditionalGeneration for predictions without further training. -[INFO|configuration_utils.py:487] 2023-07-21 11:35:16,387 >> loading configuration file generation_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/generation_config.json -[INFO|configuration_utils.py:523] 2023-07-21 11:35:16,387 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - null - ], - [ - 2, - 50359 - ] - ], - "max_length": 448, - "pad_token_id": 50257, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "transformers_version": "4.26.0.dev0" -} - -[INFO|feature_extraction_utils.py:368] 2023-07-21 11:35:17,431 >> Feature extractor saved in ./preprocessor_config.json -[INFO|tokenization_utils_base.py:2157] 2023-07-21 11:35:17,431 >> tokenizer config file saved in ./tokenizer_config.json -[INFO|tokenization_utils_base.py:2164] 2023-07-21 11:35:17,432 >> Special tokens file saved in ./special_tokens_map.json -[INFO|tokenization_utils_base.py:2210] 2023-07-21 11:35:17,432 >> added tokens file saved in ./added_tokens.json -[INFO|configuration_utils.py:447] 2023-07-21 11:35:17,473 >> Configuration saved in ./config.json -[INFO|image_processing_utils.py:294] 2023-07-21 11:35:17,474 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:462] 2023-07-21 11:35:17,478 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-21 11:35:17,484 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - "feature_size": 80, - "hop_length": 160, - "mel_filters": [ - [ - -0.0, - 0.02486259490251541, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 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-[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:35:17,484 >> loading file vocab.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:35:17,484 >> loading file tokenizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:35:17,484 >> loading file merges.txt -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:35:17,484 >> loading file normalizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:35:17,484 >> loading file added_tokens.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:35:17,484 >> loading file special_tokens_map.json -[INFO|tokenization_utils_base.py:1797] 2023-07-21 11:35:17,484 >> loading file tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,514 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,515 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-21 11:35:17,516 >> Adding <|notimestamps|> to the vocabulary -/home/xezpeleta/dev/whisper-medium-eu/./ is already a clone of https://huggingface.co/xezpeleta/whisper-medium-eu. Make sure you pull the latest changes with `repo.git_pull()`. -07/21/2023 11:35:19 - WARNING - huggingface_hub.repository - /home/xezpeleta/dev/whisper-medium-eu/./ is already a clone of https://huggingface.co/xezpeleta/whisper-medium-eu. Make sure you pull the latest changes with `repo.git_pull()`. -[INFO|trainer.py:511] 2023-07-21 11:35:21,841 >> max_steps is given, it will override any value given in num_train_epochs -[INFO|trainer.py:565] 2023-07-21 11:35:21,841 >> Using cuda_amp half precision backend -/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning - warnings.warn( -[INFO|trainer.py:1641] 2023-07-21 11:35:21,857 >> ***** Running training ***** -[INFO|trainer.py:1642] 2023-07-21 11:35:21,857 >> Num examples = 20000 -[INFO|trainer.py:1643] 2023-07-21 11:35:21,857 >> Num Epochs = 9223372036854775807 -[INFO|trainer.py:1644] 2023-07-21 11:35:21,857 >> Instantaneous batch size per device = 4 -[INFO|trainer.py:1645] 2023-07-21 11:35:21,857 >> Total train batch size (w. parallel, distributed & accumulation) = 4 -[INFO|trainer.py:1646] 2023-07-21 11:35:21,857 >> Gradient Accumulation steps = 1 -[INFO|trainer.py:1647] 2023-07-21 11:35:21,857 >> Total optimization steps = 5000 -[INFO|trainer.py:1648] 2023-07-21 11:35:21,859 >> Number of trainable parameters = 763857920 - 0%| | 0/5000 [00:00> The following columns in the training set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 0%| | 1/5000 [00:41<57:26:43, 41.37s/it] 0%| | 2/5000 [00:42<24:34:21, 17.70s/it] 0%| | 3/5000 [00:43<14:07:18, 10.17s/it] 0%| | 4/5000 [00:44<9:13:06, 6.64s/it] 0%| | 5/5000 [00:46<6:29:24, 4.68s/it] 0%| | 6/5000 [00:47<4:46:59, 3.45s/it] 0%| | 7/5000 [00:48<3:42:25, 2.67s/it] 0%| | 8/5000 [00:49<2:59:34, 2.16s/it] 0%| | 9/5000 [00:50<2:31:06, 1.82s/it] 0%| | 10/5000 [00:51<2:12:04, 1.59s/it] 0%| | 11/5000 [00:52<1:58:51, 1.43s/it] 0%| | 12/5000 [00:53<1:49:32, 1.32s/it] 0%| | 13/5000 [00:54<1:43:24, 1.24s/it] 0%| | 14/5000 [00:55<1:38:58, 1.19s/it] 0%| | 15/5000 [00:56<1:35:49, 1.15s/it] 0%| | 16/5000 [00:57<1:33:27, 1.13s/it] 0%| | 17/5000 [00:58<1:31:58, 1.11s/it] 0%| | 18/5000 [01:00<1:31:11, 1.10s/it] 0%| | 19/5000 [01:01<1:30:35, 1.09s/it] 0%| | 20/5000 [01:02<1:30:29, 1.09s/it] 0%| | 21/5000 [01:03<1:33:00, 1.12s/it] 0%| | 22/5000 [01:04<1:31:50, 1.11s/it] 0%| | 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4.6000000000000004e-07, 'epoch': 0.01} -{'loss': 1.292, 'learning_rate': 9.400000000000001e-07, 'epoch': 0.01} -{'loss': 1.0018, 'learning_rate': 1.44e-06, 'epoch': 0.01} -{'loss': 0.7765, 'learning_rate': 1.94e-06, 'epoch': 0.02} -{'loss': 0.7103, 'learning_rate': 2.4400000000000004e-06, 'epoch': 0.03} -{'loss': 0.6597, 'learning_rate': 2.9400000000000002e-06, 'epoch': 0.03} -{'loss': 0.6657, 'learning_rate': 3.44e-06, 'epoch': 0.04} -{'loss': 0.5853, 'learning_rate': 3.94e-06, 'epoch': 0.04} -{'loss': 0.5273, 'learning_rate': 4.440000000000001e-06, 'epoch': 0.04} -{'loss': 0.5979, 'learning_rate': 4.94e-06, 'epoch': 0.05} -{'loss': 0.5861, 'learning_rate': 5.4400000000000004e-06, 'epoch': 0.06} -{'loss': 0.5085, 'learning_rate': 5.94e-06, 'epoch': 0.06} -{'loss': 0.4827, 'learning_rate': 6.440000000000001e-06, 'epoch': 0.07} -{'loss': 0.4909, 'learning_rate': 6.9400000000000005e-06, 'epoch': 0.07} -{'loss': 0.4651, 'learning_rate': 7.440000000000001e-06, 'epoch': 0.07} -{'loss': 0.494, 'learning_rate': 7.94e-06, 'epoch': 0.08} -{'loss': 0.4188, 'learning_rate': 8.44e-06, 'epoch': 0.09} -{'loss': 0.3849, 'learning_rate': 8.94e-06, 'epoch': 0.09} -{'loss': 0.4577, 'learning_rate': 9.440000000000001e-06, 'epoch': 0.1} -{'loss': 0.4415, 'learning_rate': 9.940000000000001e-06, 'epoch': 0.1} -{'loss': 0.4615, 'learning_rate': 9.951111111111111e-06, 'epoch': 0.1} -{'loss': 0.4282, 'learning_rate': 9.895555555555557e-06, 'epoch': 0.11} -{'loss': 0.4481, 'learning_rate': 9.842222222222223e-06, 'epoch': 0.12} -{'loss': 0.4441, 'learning_rate': 9.786666666666667e-06, 'epoch': 0.12} -{'loss': 0.4238, 'learning_rate': 9.731111111111113e-06, 'epoch': 0.12} -{'loss': 0.4245, 'learning_rate': 9.675555555555555e-06, 'epoch': 0.13} -{'loss': 0.4118, 'learning_rate': 9.620000000000001e-06, 'epoch': 0.14} -{'loss': 0.4111, 'learning_rate': 9.564444444444445e-06, 'epoch': 0.14} -{'loss': 0.3642, 'learning_rate': 9.508888888888889e-06, 'epoch': 0.14} -{'loss': 0.401, 'learning_rate': 9.453333333333335e-06, 'epoch': 0.15} -{'loss': 0.3855, 'learning_rate': 9.397777777777779e-06, 'epoch': 0.15} -{'loss': 0.3668, 'learning_rate': 9.342222222222223e-06, 'epoch': 0.16} -{'loss': 0.3794, 'learning_rate': 9.286666666666667e-06, 'epoch': 0.17} -{'loss': 0.4296, 'learning_rate': 9.231111111111111e-06, 'epoch': 0.17} -{'loss': 0.4003, 'learning_rate': 9.175555555555557e-06, 'epoch': 0.17} -{'loss': 0.374, 'learning_rate': 9.12e-06, 'epoch': 0.18} -{'loss': 0.4051, 'learning_rate': 9.064444444444447e-06, 'epoch': 0.18} -{'loss': 0.3806, 'learning_rate': 9.008888888888889e-06, 'epoch': 0.19} -{'loss': 0.4161, 'learning_rate': 8.953333333333335e-06, 'epoch': 0.2} -{'loss': 0.4198, 'learning_rate': 8.897777777777779e-06, 'epoch': 0.2} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.75it/s] Reading metadata...: 6591it [00:00, 17061.69it/s] -[INFO|trainer_utils.py:689] 2023-07-21 11:55:12,220 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 20%|██ | 1000/5000 [49:36<1:14:17, 1.11s/it][INFO|trainer.py:2700] 2023-07-21 12:24:58,619 >> Saving model checkpoint to ./checkpoint-1000 -[INFO|configuration_utils.py:447] 2023-07-21 12:24:58,620 >> Configuration saved in ./checkpoint-1000/config.json -[INFO|modeling_utils.py:1693] 2023-07-21 12:25:00,705 >> Model weights saved in ./checkpoint-1000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-21 12:25:00,711 >> Feature extractor saved in ./checkpoint-1000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-21 12:25:15,289 >> Feature extractor saved in ./preprocessor_config.json -Several commits (24) will be pushed upstream. -{'eval_loss': 0.41016528010368347, 'eval_wer': 28.34865729677184, 'eval_runtime': 1788.2777, 'eval_samples_per_second': 3.686, 'eval_steps_per_second': 0.461, 'epoch': 0.2} -07/21/2023 12:25:31 - WARNING - 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40%|███▉ | 1995/5000 [1:09:40<56:46, 1.13s/it] 40%|███▉ | 1996/5000 [1:09:41<56:22, 1.13s/it] 40%|███▉ | 1997/5000 [1:09:42<56:19, 1.13s/it] 40%|███▉ | 1998/5000 [1:09:43<56:18, 1.13s/it] 40%|███▉ | 1999/5000 [1:09:45<1:08:09, 1.36s/it] 40%|████ | 2000/5000 [1:09:46<1:04:30, 1.29s/it] 40%|████ | 2000/5000 [1:09:46<1:04:30, 1.29s/it][INFO|trainer.py:2955] 2023-07-21 12:45:08,623 >> ***** Running Evaluation ***** -[INFO|trainer.py:2959] 2023-07-21 12:45:08,623 >> Num examples: Unknown -[INFO|trainer.py:2960] 2023-07-21 12:45:08,623 >> Batch size = 8 -{'loss': 0.409, 'learning_rate': 8.842222222222223e-06, 'epoch': 0.2} -{'loss': 0.3674, 'learning_rate': 8.786666666666668e-06, 'epoch': 0.21} -{'loss': 0.3591, 'learning_rate': 8.73111111111111e-06, 'epoch': 0.21} -{'loss': 0.3892, 'learning_rate': 8.675555555555556e-06, 'epoch': 0.22} -{'loss': 0.3843, 'learning_rate': 8.62e-06, 'epoch': 0.23} -{'loss': 0.3605, 'learning_rate': 8.564444444444445e-06, 'epoch': 0.23} -{'loss': 0.326, 'learning_rate': 8.50888888888889e-06, 'epoch': 0.23} -{'loss': 0.3103, 'learning_rate': 8.453333333333334e-06, 'epoch': 0.24} -{'loss': 0.2766, 'learning_rate': 8.397777777777778e-06, 'epoch': 0.24} -{'loss': 0.3204, 'learning_rate': 8.342222222222222e-06, 'epoch': 0.25} -{'loss': 0.3426, 'learning_rate': 8.286666666666668e-06, 'epoch': 0.26} -{'loss': 0.3417, 'learning_rate': 8.231111111111112e-06, 'epoch': 0.26} -{'loss': 0.3179, 'learning_rate': 8.175555555555556e-06, 'epoch': 0.27} -{'loss': 0.2598, 'learning_rate': 8.120000000000002e-06, 'epoch': 0.27} -{'loss': 0.3453, 'learning_rate': 8.064444444444444e-06, 'epoch': 0.28} -{'loss': 0.2752, 'learning_rate': 8.00888888888889e-06, 'epoch': 0.28} -{'loss': 0.2927, 'learning_rate': 7.953333333333334e-06, 'epoch': 0.28} -{'loss': 0.3859, 'learning_rate': 7.897777777777778e-06, 'epoch': 0.29} -{'loss': 0.3137, 'learning_rate': 7.842222222222224e-06, 'epoch': 0.29} -{'loss': 0.2678, 'learning_rate': 7.786666666666666e-06, 'epoch': 0.3} -{'loss': 0.2803, 'learning_rate': 7.731111111111112e-06, 'epoch': 0.3} -{'loss': 0.2828, 'learning_rate': 7.675555555555556e-06, 'epoch': 0.31} -{'loss': 0.3655, 'learning_rate': 7.620000000000001e-06, 'epoch': 0.32} -{'loss': 0.3321, 'learning_rate': 7.564444444444446e-06, 'epoch': 0.32} -{'loss': 0.3649, 'learning_rate': 7.50888888888889e-06, 'epoch': 0.33} -{'loss': 0.3229, 'learning_rate': 7.453333333333334e-06, 'epoch': 0.33} -{'loss': 0.3115, 'learning_rate': 7.3977777777777786e-06, 'epoch': 0.34} -{'loss': 0.2925, 'learning_rate': 7.342222222222223e-06, 'epoch': 0.34} -{'loss': 0.3014, 'learning_rate': 7.2866666666666675e-06, 'epoch': 0.34} -{'loss': 0.3303, 'learning_rate': 7.231111111111112e-06, 'epoch': 0.35} -{'loss': 0.3174, 'learning_rate': 7.1755555555555556e-06, 'epoch': 0.35} -{'loss': 0.3249, 'learning_rate': 7.1200000000000004e-06, 'epoch': 0.36} -{'loss': 0.2678, 'learning_rate': 7.0644444444444445e-06, 'epoch': 0.36} -{'loss': 0.3088, 'learning_rate': 7.008888888888889e-06, 'epoch': 0.37} -{'loss': 0.2515, 'learning_rate': 6.953333333333334e-06, 'epoch': 0.38} -{'loss': 0.2838, 'learning_rate': 6.897777777777779e-06, 'epoch': 0.38} -{'loss': 0.2494, 'learning_rate': 6.842222222222222e-06, 'epoch': 0.39} -{'loss': 0.205, 'learning_rate': 6.786666666666667e-06, 'epoch': 0.39} -{'loss': 0.2439, 'learning_rate': 6.731111111111111e-06, 'epoch': 0.4} -{'loss': 0.2547, 'learning_rate': 6.675555555555556e-06, 'epoch': 0.4} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 3.31it/s] Reading metadata...: 6591it [00:00, 20273.26it/s] -[INFO|trainer_utils.py:689] 2023-07-21 12:45:10,966 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 40%|████ | 2000/5000 [1:39:55<1:04:30, 1.29s/it][INFO|trainer.py:2700] 2023-07-21 13:15:17,522 >> Saving model checkpoint to ./checkpoint-2000 -[INFO|configuration_utils.py:447] 2023-07-21 13:15:17,523 >> Configuration saved in ./checkpoint-2000/config.json -[INFO|modeling_utils.py:1693] 2023-07-21 13:15:19,640 >> Model weights saved in ./checkpoint-2000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-21 13:15:19,646 >> Feature extractor saved in ./checkpoint-2000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-21 13:15:29,695 >> Feature extractor saved in ./preprocessor_config.json -Several commits (25) will be pushed upstream. -{'eval_loss': 0.31417879462242126, 'eval_wer': 21.643241929604276, 'eval_runtime': 1808.8984, 'eval_samples_per_second': 3.644, 'eval_steps_per_second': 0.456, 'epoch': 0.4} -07/21/2023 13:17:03 - 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Batch size = 8 -{'loss': 0.212, 'learning_rate': 6.620000000000001e-06, 'epoch': 0.41} -{'loss': 0.2386, 'learning_rate': 6.564444444444446e-06, 'epoch': 0.41} -{'loss': 0.2429, 'learning_rate': 6.508888888888889e-06, 'epoch': 0.41} -{'loss': 0.3079, 'learning_rate': 6.453333333333334e-06, 'epoch': 0.42} -{'loss': 0.2576, 'learning_rate': 6.397777777777778e-06, 'epoch': 0.42} -{'loss': 0.2558, 'learning_rate': 6.342222222222223e-06, 'epoch': 0.43} -{'loss': 0.2904, 'learning_rate': 6.286666666666668e-06, 'epoch': 0.43} -{'loss': 0.2423, 'learning_rate': 6.231111111111111e-06, 'epoch': 0.44} -{'loss': 0.255, 'learning_rate': 6.175555555555556e-06, 'epoch': 0.45} -{'loss': 0.2142, 'learning_rate': 6.120000000000001e-06, 'epoch': 0.45} -{'loss': 0.2687, 'learning_rate': 6.064444444444445e-06, 'epoch': 0.46} -{'loss': 0.2617, 'learning_rate': 6.00888888888889e-06, 'epoch': 0.46} -{'loss': 0.2414, 'learning_rate': 5.9533333333333345e-06, 'epoch': 0.47} -{'loss': 0.2048, 'learning_rate': 5.897777777777778e-06, 'epoch': 0.47} -{'loss': 0.222, 'learning_rate': 5.8422222222222226e-06, 'epoch': 0.47} -{'loss': 0.2453, 'learning_rate': 5.7866666666666674e-06, 'epoch': 0.48} -{'loss': 0.2099, 'learning_rate': 5.7311111111111115e-06, 'epoch': 0.48} -{'loss': 0.2515, 'learning_rate': 5.675555555555556e-06, 'epoch': 0.49} -{'loss': 0.2232, 'learning_rate': 5.620000000000001e-06, 'epoch': 0.49} -{'loss': 0.1946, 'learning_rate': 5.5644444444444444e-06, 'epoch': 0.5} -{'loss': 0.2176, 'learning_rate': 5.508888888888889e-06, 'epoch': 0.51} -{'loss': 0.2565, 'learning_rate': 5.453333333333334e-06, 'epoch': 0.51} -{'loss': 0.2452, 'learning_rate': 5.397777777777778e-06, 'epoch': 0.52} -{'loss': 0.2851, 'learning_rate': 5.342222222222223e-06, 'epoch': 0.52} -{'loss': 0.1891, 'learning_rate': 5.286666666666666e-06, 'epoch': 0.53} -{'loss': 0.2404, 'learning_rate': 5.231111111111111e-06, 'epoch': 0.53} -{'loss': 0.2037, 'learning_rate': 5.175555555555556e-06, 'epoch': 0.54} -{'loss': 0.215, 'learning_rate': 5.12e-06, 'epoch': 0.54} -{'loss': 0.2115, 'learning_rate': 5.064444444444445e-06, 'epoch': 0.55} -{'loss': 0.2491, 'learning_rate': 5.00888888888889e-06, 'epoch': 0.55} -{'loss': 0.1979, 'learning_rate': 4.953333333333334e-06, 'epoch': 0.56} -{'loss': 0.224, 'learning_rate': 4.897777777777778e-06, 'epoch': 0.56} -{'loss': 0.2065, 'learning_rate': 4.842222222222223e-06, 'epoch': 0.56} -{'loss': 0.2144, 'learning_rate': 4.786666666666667e-06, 'epoch': 0.57} -{'loss': 0.2141, 'learning_rate': 4.731111111111112e-06, 'epoch': 0.57} -{'loss': 0.1953, 'learning_rate': 4.675555555555556e-06, 'epoch': 0.58} -{'loss': 0.1907, 'learning_rate': 4.620000000000001e-06, 'epoch': 0.58} -{'loss': 0.2292, 'learning_rate': 4.564444444444445e-06, 'epoch': 0.59} -{'loss': 0.2164, 'learning_rate': 4.50888888888889e-06, 'epoch': 0.59} -{'loss': 0.2145, 'learning_rate': 4.453333333333334e-06, 'epoch': 0.6} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.80it/s] Reading metadata...: 6591it [00:00, 17362.86it/s] -[INFO|trainer_utils.py:689] 2023-07-21 13:36:34,094 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 60%|██████ | 3000/5000 [2:31:13<37:07, 1.11s/it][INFO|trainer.py:2700] 2023-07-21 14:06:35,758 >> Saving model checkpoint to ./checkpoint-3000 -[INFO|configuration_utils.py:447] 2023-07-21 14:06:35,758 >> Configuration saved in ./checkpoint-3000/config.json -[INFO|modeling_utils.py:1693] 2023-07-21 14:06:37,871 >> Model weights saved in ./checkpoint-3000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-21 14:06:37,877 >> Feature extractor saved in ./checkpoint-3000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-21 14:06:48,058 >> Feature extractor saved in ./preprocessor_config.json -Several commits (26) will be pushed upstream. -{'eval_loss': 0.260960191488266, 'eval_wer': 17.515897768236865, 'eval_runtime': 1803.5499, 'eval_samples_per_second': 3.654, 'eval_steps_per_second': 0.457, 'epoch': 0.6} -07/21/2023 14:08:32 - WARNING 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4.008888888888889e-06, 'epoch': 0.64} -{'loss': 0.2318, 'learning_rate': 3.953333333333333e-06, 'epoch': 0.65} -{'loss': 0.2615, 'learning_rate': 3.897777777777778e-06, 'epoch': 0.65} -{'loss': 0.1846, 'learning_rate': 3.842222222222223e-06, 'epoch': 0.66} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 1.96it/s] Reading metadata...: 10918it [00:00, 19852.69it/s] - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.54it/s] Reading metadata...: 6591it [00:00, 15816.83it/s] - 66%|██████▌ | 3297/5000 [2:39:10<5:56:06, 12.55s/it] 66%|██████▌ | 3298/5000 [2:39:11<4:18:26, 9.11s/it] 66%|██████▌ | 3299/5000 [2:39:12<3:10:51, 6.73s/it] 66%|██████▌ | 3300/5000 [2:39:13<2:23:12, 5.05s/it] 66%|██████▌ | 3300/5000 [2:39:13<2:23:12, 5.05s/it] 66%|██████▌ | 3301/5000 [2:39:14<1:49:28, 3.87s/it] 66%|██████▌ | 3302/5000 [2:39:15<1:25:49, 3.03s/it] 66%|██████▌ | 3303/5000 [2:39:16<1:09:18, 2.45s/it] 66%|██████▌ | 3304/5000 [2:39:18<57:45, 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2023-07-21 14:28:09,674 >> Batch size = 8 -{'loss': 0.222, 'learning_rate': 3.7866666666666667e-06, 'epoch': 1.0} -{'loss': 0.2224, 'learning_rate': 3.7311111111111116e-06, 'epoch': 1.01} -{'loss': 0.2128, 'learning_rate': 3.675555555555556e-06, 'epoch': 1.01} -{'loss': 0.2002, 'learning_rate': 3.62e-06, 'epoch': 1.02} -{'loss': 0.1861, 'learning_rate': 3.564444444444445e-06, 'epoch': 1.02} -{'loss': 0.176, 'learning_rate': 3.508888888888889e-06, 'epoch': 1.03} -{'loss': 0.1659, 'learning_rate': 3.4533333333333334e-06, 'epoch': 1.03} -{'loss': 0.1545, 'learning_rate': 3.3977777777777783e-06, 'epoch': 1.04} -{'loss': 0.1314, 'learning_rate': 3.3422222222222224e-06, 'epoch': 1.04} -{'loss': 0.1573, 'learning_rate': 3.286666666666667e-06, 'epoch': 1.05} -{'loss': 0.1696, 'learning_rate': 3.2311111111111117e-06, 'epoch': 1.05} -{'loss': 0.1348, 'learning_rate': 3.1755555555555557e-06, 'epoch': 1.06} -{'loss': 0.1477, 'learning_rate': 3.12e-06, 'epoch': 1.06} -{'loss': 0.1464, 'learning_rate': 3.064444444444445e-06, 'epoch': 1.07} -{'loss': 0.1027, 'learning_rate': 3.008888888888889e-06, 'epoch': 1.07} -{'loss': 0.1032, 'learning_rate': 2.9533333333333336e-06, 'epoch': 1.08} -{'loss': 0.0937, 'learning_rate': 2.8977777777777785e-06, 'epoch': 1.08} -{'loss': 0.0975, 'learning_rate': 2.8422222222222225e-06, 'epoch': 1.09} -{'loss': 0.0922, 'learning_rate': 2.786666666666667e-06, 'epoch': 1.09} -{'loss': 0.1045, 'learning_rate': 2.7311111111111114e-06, 'epoch': 1.1} -{'loss': 0.0816, 'learning_rate': 2.675555555555556e-06, 'epoch': 1.1} -{'loss': 0.1011, 'learning_rate': 2.6200000000000003e-06, 'epoch': 1.11} -{'loss': 0.0883, 'learning_rate': 2.5644444444444444e-06, 'epoch': 1.11} -{'loss': 0.0872, 'learning_rate': 2.5088888888888892e-06, 'epoch': 1.12} -{'loss': 0.1131, 'learning_rate': 2.4533333333333333e-06, 'epoch': 1.12} -{'loss': 0.1031, 'learning_rate': 2.397777777777778e-06, 'epoch': 1.13} -{'loss': 0.0985, 'learning_rate': 2.342222222222222e-06, 'epoch': 1.13} -{'loss': 0.1057, 'learning_rate': 2.2866666666666667e-06, 'epoch': 1.14} -{'loss': 0.0828, 'learning_rate': 2.2311111111111115e-06, 'epoch': 1.14} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:01, 1.02s/it] Reading metadata...: 6591it [00:01, 6307.11it/s] -[INFO|trainer_utils.py:689] 2023-07-21 14:28:13,079 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 80%|████████ | 4000/5000 [3:23:01<18:46, 1.13s/it][INFO|trainer.py:2700] 2023-07-21 14:58:23,205 >> Saving model checkpoint to ./checkpoint-4000 -[INFO|configuration_utils.py:447] 2023-07-21 14:58:23,205 >> Configuration saved in ./checkpoint-4000/config.json -[INFO|modeling_utils.py:1693] 2023-07-21 14:58:25,379 >> Model weights saved in ./checkpoint-4000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-21 14:58:25,385 >> Feature extractor saved in ./checkpoint-4000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-21 14:58:36,613 >> Feature extractor saved in ./preprocessor_config.json -Several commits (27) will be pushed upstream. -{'eval_loss': 0.23880085349082947, 'eval_wer': 15.300336182105392, 'eval_runtime': 1813.5298, 'eval_samples_per_second': 3.634, 'eval_steps_per_second': 0.454, 'epoch': 1.14} -07/21/2023 15:00:21 - 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15:19:59,002 >> Batch size = 8 -{'loss': 0.0873, 'learning_rate': 2.1755555555555556e-06, 'epoch': 1.15} -{'loss': 0.0848, 'learning_rate': 2.12e-06, 'epoch': 1.15} -{'loss': 0.0936, 'learning_rate': 2.064444444444445e-06, 'epoch': 1.16} -{'loss': 0.0965, 'learning_rate': 2.008888888888889e-06, 'epoch': 1.16} -{'loss': 0.0923, 'learning_rate': 1.9533333333333334e-06, 'epoch': 1.17} -{'loss': 0.0793, 'learning_rate': 1.8977777777777779e-06, 'epoch': 1.17} -{'loss': 0.0848, 'learning_rate': 1.8422222222222225e-06, 'epoch': 1.18} -{'loss': 0.0956, 'learning_rate': 1.7866666666666668e-06, 'epoch': 1.18} -{'loss': 0.0814, 'learning_rate': 1.7311111111111112e-06, 'epoch': 1.19} -{'loss': 0.1086, 'learning_rate': 1.675555555555556e-06, 'epoch': 1.19} -{'loss': 0.1057, 'learning_rate': 1.6200000000000002e-06, 'epoch': 1.2} -{'loss': 0.091, 'learning_rate': 1.5644444444444446e-06, 'epoch': 1.2} -{'loss': 0.0857, 'learning_rate': 1.5088888888888889e-06, 'epoch': 1.21} -{'loss': 0.0904, 'learning_rate': 1.4533333333333335e-06, 'epoch': 1.21} -{'loss': 0.0714, 'learning_rate': 1.397777777777778e-06, 'epoch': 1.22} -{'loss': 0.071, 'learning_rate': 1.3422222222222222e-06, 'epoch': 1.22} -{'loss': 0.0689, 'learning_rate': 1.286666666666667e-06, 'epoch': 1.23} -{'loss': 0.0597, 'learning_rate': 1.2311111111111112e-06, 'epoch': 1.23} -{'loss': 0.0737, 'learning_rate': 1.1755555555555556e-06, 'epoch': 1.24} -{'loss': 0.0712, 'learning_rate': 1.12e-06, 'epoch': 1.24} -{'loss': 0.0641, 'learning_rate': 1.0644444444444445e-06, 'epoch': 1.25} -{'loss': 0.0605, 'learning_rate': 1.008888888888889e-06, 'epoch': 1.25} -{'loss': 0.0981, 'learning_rate': 9.533333333333335e-07, 'epoch': 1.26} -{'loss': 0.0751, 'learning_rate': 8.977777777777778e-07, 'epoch': 1.26} -{'loss': 0.0645, 'learning_rate': 8.422222222222224e-07, 'epoch': 1.27} -{'loss': 0.0573, 'learning_rate': 7.866666666666667e-07, 'epoch': 1.27} -{'loss': 0.0672, 'learning_rate': 7.311111111111112e-07, 'epoch': 1.28} -{'loss': 0.0891, 'learning_rate': 6.755555555555555e-07, 'epoch': 1.28} -{'loss': 0.0605, 'learning_rate': 6.200000000000001e-07, 'epoch': 1.29} -{'loss': 0.0686, 'learning_rate': 5.644444444444445e-07, 'epoch': 1.29} -{'loss': 0.0708, 'learning_rate': 5.088888888888889e-07, 'epoch': 1.3} -{'loss': 0.0594, 'learning_rate': 4.533333333333334e-07, 'epoch': 1.3} -{'loss': 0.0615, 'learning_rate': 3.9777777777777783e-07, 'epoch': 1.31} -{'loss': 0.0574, 'learning_rate': 3.422222222222223e-07, 'epoch': 1.31} -{'loss': 0.0772, 'learning_rate': 2.866666666666667e-07, 'epoch': 1.32} -{'loss': 0.0713, 'learning_rate': 2.3111111111111112e-07, 'epoch': 1.32} -{'loss': 0.0634, 'learning_rate': 1.7555555555555558e-07, 'epoch': 1.33} -{'loss': 0.078, 'learning_rate': 1.2000000000000002e-07, 'epoch': 1.33} -{'loss': 0.0827, 'learning_rate': 6.444444444444445e-08, 'epoch': 1.34} -{'loss': 0.0729, 'learning_rate': 8.88888888888889e-09, 'epoch': 1.34} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 1.27it/s] Reading metadata...: 6591it [00:00, 8178.76it/s] -[INFO|trainer_utils.py:689] 2023-07-21 15:20:01,610 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 100%|██████████| 5000/5000 [4:14:47<00:00, 1.22s/it][INFO|trainer.py:2700] 2023-07-21 15:50:08,913 >> Saving model checkpoint to ./checkpoint-5000 -[INFO|configuration_utils.py:447] 2023-07-21 15:50:08,914 >> Configuration saved in ./checkpoint-5000/config.json -[INFO|modeling_utils.py:1693] 2023-07-21 15:50:11,028 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-21 15:50:11,034 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-21 15:50:21,104 >> Feature extractor saved in ./preprocessor_config.json -Several commits (28) will be pushed upstream. -{'eval_loss': 0.2256375402212143, 'eval_wer': 13.996111628660538, 'eval_runtime': 1809.9109, 'eval_samples_per_second': 3.642, 'eval_steps_per_second': 0.455, 'epoch': 1.34} -07/21/2023 15:51:54 - WARNING - huggingface_hub.repository - Several commits (28) will be pushed upstream. -[INFO|trainer.py:1892] 2023-07-21 15:51:56,438 >> - -Training completed. Do not forget to share your model on huggingface.co/models =) - - -[INFO|trainer.py:2016] 2023-07-21 15:51:56,438 >> Loading best model from ./checkpoint-5000 (score: 13.996111628660538). - 100%|██████████| 5000/5000 [4:16:36<00:00, 1.22s/it] 100%|██████████| 5000/5000 [4:16:36<00:00, 3.08s/it] -[INFO|trainer.py:2700] 2023-07-21 15:51:57,986 >> Saving model checkpoint to ./ -[INFO|configuration_utils.py:447] 2023-07-21 15:51:57,986 >> Configuration saved in ./config.json -[INFO|modeling_utils.py:1693] 2023-07-21 15:52:05,833 >> Model weights saved in ./pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-21 15:52:05,846 >> Feature extractor saved in ./preprocessor_config.json -[INFO|trainer.py:2700] 2023-07-21 15:52:05,847 >> Saving model checkpoint to ./ -[INFO|configuration_utils.py:447] 2023-07-21 15:52:05,847 >> Configuration saved in ./config.json -[INFO|modeling_utils.py:1693] 2023-07-21 15:52:10,171 >> Model weights saved in ./pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-21 15:52:10,184 >> Feature extractor saved in ./preprocessor_config.json -Several commits (29) will be pushed upstream. -{'train_runtime': 15396.1249, 'train_samples_per_second': 1.299, 'train_steps_per_second': 0.325, 'train_loss': 0.2607154120922089, 'epoch': 1.34} -07/21/2023 15:52:35 - WARNING - huggingface_hub.repository - Several commits (29) will be pushed upstream. -The progress bars may be unreliable. -07/21/2023 15:52:35 - WARNING - huggingface_hub.repository - The progress bars may be unreliable. -Unable to find source for object 158fadf3cc4e44749b271c588b5dd7fb20e1372d05e37e4d4c5263d6ea10ab77 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -07/21/2023 15:53:37 - WARNING - huggingface_hub.repository - Unable to find source for object 158fadf3cc4e44749b271c588b5dd7fb20e1372d05e37e4d4c5263d6ea10ab77 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -Traceback (most recent call last): - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/huggingface_hub/repository.py", line 1207, in git_push - raise subprocess.CalledProcessError( -subprocess.CalledProcessError: Command '['git', 'push', '--set-upstream', 'origin', 'main']' returned non-zero exit status 1. - -During handling of the above exception, another exception occurred: - -Traceback (most recent call last): - File "/home/xezpeleta/dev/whisper-medium-eu/run_speech_recognition_seq2seq_streaming.py", line 629, in - main() - File "/home/xezpeleta/dev/whisper-medium-eu/run_speech_recognition_seq2seq_streaming.py", line 579, in main - trainer.save_model() # Saves the feature extractor too for easy upload - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/trainer.py", line 2666, in save_model - self.push_to_hub(commit_message="Model save") - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/trainer.py", line 3491, in push_to_hub - git_head_commit_url = self.repo.push_to_hub( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/huggingface_hub/repository.py", line 1432, in push_to_hub - return self.git_push( - File "/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/huggingface_hub/repository.py", line 1212, in git_push - raise EnvironmentError(exc.stderr) -OSError: Unable to find source for object 158fadf3cc4e44749b271c588b5dd7fb20e1372d05e37e4d4c5263d6ea10ab77 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -The push command with PID 2607423 failed. -07/21/2023 15:53:37 - ERROR - huggingface_hub.repository - The push command with PID 2607423 failed. -Unable to find source for object a3070c14f660e9ff8da8f60a6009fc3fdb5db3bbe1ef8c774730e65d2e674f66 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -07/21/2023 15:53:37 - ERROR - huggingface_hub.repository - Unable to find source for object a3070c14f660e9ff8da8f60a6009fc3fdb5db3bbe1ef8c774730e65d2e674f66 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -The push command with PID 2946769 failed. -07/21/2023 15:53:37 - ERROR - huggingface_hub.repository - The push command with PID 2946769 failed. -Unable to find source for object a3070c14f660e9ff8da8f60a6009fc3fdb5db3bbe1ef8c774730e65d2e674f66 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -07/21/2023 15:53:37 - ERROR - huggingface_hub.repository - Unable to find source for object a3070c14f660e9ff8da8f60a6009fc3fdb5db3bbe1ef8c774730e65d2e674f66 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -The push command with PID 3286099 failed. -07/21/2023 15:53:37 - ERROR - huggingface_hub.repository - The push command with PID 3286099 failed. -Unable to find source for object 158fadf3cc4e44749b271c588b5dd7fb20e1372d05e37e4d4c5263d6ea10ab77 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -07/21/2023 15:53:37 - ERROR - huggingface_hub.repository - Unable to find source for object 158fadf3cc4e44749b271c588b5dd7fb20e1372d05e37e4d4c5263d6ea10ab77 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -The push command with PID 3625528 failed. -07/21/2023 15:53:37 - ERROR - huggingface_hub.repository - The push command with PID 3625528 failed. -Unable to find source for object a3070c14f660e9ff8da8f60a6009fc3fdb5db3bbe1ef8c774730e65d2e674f66 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -07/21/2023 15:53:37 - ERROR - huggingface_hub.repository - Unable to find source for object a3070c14f660e9ff8da8f60a6009fc3fdb5db3bbe1ef8c774730e65d2e674f66 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -The push command with PID 3965002 failed. -07/21/2023 15:53:37 - ERROR - huggingface_hub.repository - The push command with PID 3965002 failed. -Unable to find source for object 158fadf3cc4e44749b271c588b5dd7fb20e1372d05e37e4d4c5263d6ea10ab77 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -07/21/2023 15:53:37 - ERROR - huggingface_hub.repository - Unable to find source for object 158fadf3cc4e44749b271c588b5dd7fb20e1372d05e37e4d4c5263d6ea10ab77 (try running git lfs fetch --all) -error: failed to push some refs to 'https://huggingface.co/xezpeleta/whisper-medium-eu' - -Uploading LFS objects: 100% (33/33), 47 GB | 7.2 MB/s, done. -To https://huggingface.co/xezpeleta/whisper-medium-eu - a64b8b4..e94d61e main -> main -07/22/2023 22:41:53 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True -07/22/2023 22:41:53 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul22_22-41-53_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=8, -per_device_train_batch_size=4, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/22/2023 22:41:53 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul22_22-41-53_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=5000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=8, -per_device_train_batch_size=4, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/22/2023 22:41:56 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/22/2023 22:41:58 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/22/2023 22:42:02 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -[INFO|configuration_utils.py:654] 2023-07-22 22:42:02,521 >> loading configuration file config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/config.json -[INFO|configuration_utils.py:706] 2023-07-22 22:42:02,525 >> Model config WhisperConfig { - "_name_or_path": "openai/whisper-medium", - "activation_dropout": 0.0, - "activation_function": "gelu", - "architectures": [ - "WhisperForConditionalGeneration" - ], - "attention_dropout": 0.0, - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "d_model": 1024, - "decoder_attention_heads": 16, - "decoder_ffn_dim": 4096, - "decoder_layerdrop": 0.0, - "decoder_layers": 24, - "decoder_start_token_id": 50258, - "dropout": 0.0, - "encoder_attention_heads": 16, - "encoder_ffn_dim": 4096, - "encoder_layerdrop": 0.0, - "encoder_layers": 24, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - 50259 - ], - [ - 2, - 50359 - ], - [ - 3, - 50363 - ] - ], - "init_std": 0.02, - "is_encoder_decoder": true, - "max_length": 448, - "max_source_positions": 1500, - "max_target_positions": 448, - "model_type": "whisper", - "num_hidden_layers": 24, - "num_mel_bins": 80, - "pad_token_id": 50257, - "scale_embedding": false, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "torch_dtype": "float32", - "transformers_version": "4.26.0.dev0", - "use_cache": true, - "vocab_size": 51865 -} - -[INFO|feature_extraction_utils.py:464] 2023-07-22 22:42:02,921 >> loading configuration file preprocessor_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-22 22:42:02,933 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - 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0.003141313325613737, - 0.002692554146051407, - 0.0022437951993197203, - 0.00179503601975739, - 0.0013462770730257034, - 0.000897518009878695, - 0.0004487590049393475, - 0.0 - ] - ], - "n_fft": 400, - "n_samples": 480000, - "nb_max_frames": 3000, - "padding_side": "right", - "padding_value": 0.0, - "processor_class": "WhisperProcessor", - "return_attention_mask": false, - "sampling_rate": 16000 -} - -[INFO|tokenization_utils_base.py:1799] 2023-07-22 22:42:03,134 >> loading file vocab.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/vocab.json -[INFO|tokenization_utils_base.py:1799] 2023-07-22 22:42:03,134 >> loading file tokenizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/tokenizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-22 22:42:03,134 >> loading file merges.txt from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/merges.txt -[INFO|tokenization_utils_base.py:1799] 2023-07-22 22:42:03,134 >> loading file normalizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/normalizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-22 22:42:03,134 >> loading file added_tokens.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/added_tokens.json -[INFO|tokenization_utils_base.py:1799] 2023-07-22 22:42:03,134 >> loading file special_tokens_map.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/special_tokens_map.json -[INFO|tokenization_utils_base.py:1799] 2023-07-22 22:42:03,134 >> loading file tokenizer_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,169 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,170 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:03,171 >> Adding <|notimestamps|> to the vocabulary -[INFO|modeling_utils.py:2264] 2023-07-22 22:42:03,174 >> loading weights file pytorch_model.bin from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/pytorch_model.bin -[INFO|configuration_utils.py:523] 2023-07-22 22:42:05,371 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "max_length": 448, - "pad_token_id": 50257, - "transformers_version": "4.26.0.dev0", - "use_cache": false -} - -[INFO|modeling_utils.py:2842] 2023-07-22 22:42:08,820 >> All model checkpoint weights were used when initializing WhisperForConditionalGeneration. - -[INFO|modeling_utils.py:2850] 2023-07-22 22:42:08,820 >> All the weights of WhisperForConditionalGeneration were initialized from the model checkpoint at openai/whisper-medium. -If your task is similar to the task the model of the checkpoint was trained on, you can already use WhisperForConditionalGeneration for predictions without further training. -[INFO|configuration_utils.py:487] 2023-07-22 22:42:09,072 >> loading configuration file generation_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/generation_config.json -[INFO|configuration_utils.py:523] 2023-07-22 22:42:09,072 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - null - ], - [ - 2, - 50359 - ] - ], - "max_length": 448, - "pad_token_id": 50257, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "transformers_version": "4.26.0.dev0" -} - -[INFO|feature_extraction_utils.py:368] 2023-07-22 22:42:10,181 >> Feature extractor saved in ./preprocessor_config.json -[INFO|tokenization_utils_base.py:2157] 2023-07-22 22:42:10,181 >> tokenizer config file saved in ./tokenizer_config.json -[INFO|tokenization_utils_base.py:2164] 2023-07-22 22:42:10,182 >> Special tokens file saved in ./special_tokens_map.json -[INFO|tokenization_utils_base.py:2210] 2023-07-22 22:42:10,182 >> added tokens file saved in ./added_tokens.json -[INFO|configuration_utils.py:447] 2023-07-22 22:42:10,217 >> Configuration saved in ./config.json -[INFO|image_processing_utils.py:294] 2023-07-22 22:42:10,218 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:462] 2023-07-22 22:42:10,224 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-22 22:42:10,230 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - "feature_size": 80, - "hop_length": 160, - "mel_filters": [ - [ - -0.0, - 0.02486259490251541, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 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-[INFO|tokenization_utils_base.py:1797] 2023-07-22 22:42:10,230 >> loading file vocab.json -[INFO|tokenization_utils_base.py:1797] 2023-07-22 22:42:10,230 >> loading file tokenizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-22 22:42:10,230 >> loading file merges.txt -[INFO|tokenization_utils_base.py:1797] 2023-07-22 22:42:10,230 >> loading file normalizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-22 22:42:10,230 >> loading file added_tokens.json -[INFO|tokenization_utils_base.py:1797] 2023-07-22 22:42:10,230 >> loading file special_tokens_map.json -[INFO|tokenization_utils_base.py:1797] 2023-07-22 22:42:10,230 >> loading file tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,260 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,260 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,260 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,260 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,260 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,260 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,260 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,260 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,260 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,261 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-22 22:42:10,262 >> Adding <|notimestamps|> to the vocabulary -/home/xezpeleta/dev/whisper-medium-eu/./ is already a clone of https://huggingface.co/xezpeleta/whisper-medium-eu. Make sure you pull the latest changes with `repo.git_pull()`. -07/22/2023 22:42:12 - WARNING - huggingface_hub.repository - /home/xezpeleta/dev/whisper-medium-eu/./ is already a clone of https://huggingface.co/xezpeleta/whisper-medium-eu. Make sure you pull the latest changes with `repo.git_pull()`. -[INFO|trainer.py:511] 2023-07-22 22:42:14,934 >> max_steps is given, it will override any value given in num_train_epochs -[INFO|trainer.py:565] 2023-07-22 22:42:14,934 >> Using cuda_amp half precision backend -/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning - warnings.warn( -[INFO|trainer.py:1641] 2023-07-22 22:42:14,950 >> ***** Running training ***** -[INFO|trainer.py:1642] 2023-07-22 22:42:14,950 >> Num examples = 20000 -[INFO|trainer.py:1643] 2023-07-22 22:42:14,951 >> Num Epochs = 9223372036854775807 -[INFO|trainer.py:1644] 2023-07-22 22:42:14,951 >> Instantaneous batch size per device = 4 -[INFO|trainer.py:1645] 2023-07-22 22:42:14,951 >> Total train batch size (w. parallel, distributed & accumulation) = 4 -[INFO|trainer.py:1646] 2023-07-22 22:42:14,951 >> Gradient Accumulation steps = 1 -[INFO|trainer.py:1647] 2023-07-22 22:42:14,951 >> Total optimization steps = 5000 -[INFO|trainer.py:1648] 2023-07-22 22:42:14,953 >> Number of trainable parameters = 763857920 - 0%| | 0/5000 [00:00> The following columns in the training set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 0%| | 1/5000 [00:48<66:44:28, 48.06s/it] 0%| | 2/5000 [00:49<28:24:47, 20.47s/it] 0%| | 3/5000 [00:50<16:13:08, 11.68s/it] 0%| | 4/5000 [00:51<10:26:43, 7.53s/it] 0%| | 5/5000 [00:52<7:13:04, 5.20s/it] 0%| | 6/5000 [00:53<5:15:35, 3.79s/it] 0%| | 7/5000 [00:54<4:01:02, 2.90s/it] 0%| | 8/5000 [00:55<3:12:00, 2.31s/it] 0%| | 9/5000 [00:56<2:39:27, 1.92s/it] 0%| | 10/5000 [00:57<2:17:22, 1.65s/it] 0%| | 11/5000 [00:59<2:02:22, 1.47s/it] 0%| | 12/5000 [01:00<1:51:46, 1.34s/it] 0%| | 13/5000 [01:01<1:44:27, 1.26s/it] 0%| | 14/5000 [01:02<1:39:33, 1.20s/it] 0%| | 15/5000 [01:03<1:36:04, 1.16s/it] 0%| | 16/5000 [01:04<1:33:28, 1.13s/it] 0%| | 17/5000 [01:05<1:31:48, 1.11s/it] 0%| | 18/5000 [01:06<1:30:38, 1.09s/it] 0%| | 19/5000 [01:07<1:29:52, 1.08s/it] 0%| | 20/5000 [01:08<1:29:30, 1.08s/it] 0%| | 21/5000 [01:09<1:29:11, 1.07s/it] 0%| | 22/5000 [01:10<1:28:54, 1.07s/it] 0%| | 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4.6000000000000004e-07, 'epoch': 0.01} -{'loss': 1.292, 'learning_rate': 9.400000000000001e-07, 'epoch': 0.01} -{'loss': 1.0018, 'learning_rate': 1.44e-06, 'epoch': 0.01} -{'loss': 0.7765, 'learning_rate': 1.94e-06, 'epoch': 0.02} -{'loss': 0.7103, 'learning_rate': 2.4400000000000004e-06, 'epoch': 0.03} -{'loss': 0.6597, 'learning_rate': 2.9400000000000002e-06, 'epoch': 0.03} -{'loss': 0.6657, 'learning_rate': 3.44e-06, 'epoch': 0.04} -{'loss': 0.5853, 'learning_rate': 3.94e-06, 'epoch': 0.04} -{'loss': 0.5273, 'learning_rate': 4.440000000000001e-06, 'epoch': 0.04} -{'loss': 0.5979, 'learning_rate': 4.94e-06, 'epoch': 0.05} -{'loss': 0.5861, 'learning_rate': 5.4400000000000004e-06, 'epoch': 0.06} -{'loss': 0.5085, 'learning_rate': 5.94e-06, 'epoch': 0.06} -{'loss': 0.4827, 'learning_rate': 6.440000000000001e-06, 'epoch': 0.07} -{'loss': 0.4909, 'learning_rate': 6.9400000000000005e-06, 'epoch': 0.07} -{'loss': 0.4651, 'learning_rate': 7.440000000000001e-06, 'epoch': 0.07} -{'loss': 0.494, 'learning_rate': 7.94e-06, 'epoch': 0.08} -{'loss': 0.4188, 'learning_rate': 8.44e-06, 'epoch': 0.09} -{'loss': 0.3849, 'learning_rate': 8.94e-06, 'epoch': 0.09} -{'loss': 0.4577, 'learning_rate': 9.440000000000001e-06, 'epoch': 0.1} -{'loss': 0.4415, 'learning_rate': 9.940000000000001e-06, 'epoch': 0.1} -{'loss': 0.4615, 'learning_rate': 9.951111111111111e-06, 'epoch': 0.1} -{'loss': 0.4282, 'learning_rate': 9.895555555555557e-06, 'epoch': 0.11} -{'loss': 0.4481, 'learning_rate': 9.842222222222223e-06, 'epoch': 0.12} -{'loss': 0.4441, 'learning_rate': 9.786666666666667e-06, 'epoch': 0.12} -{'loss': 0.4238, 'learning_rate': 9.731111111111113e-06, 'epoch': 0.12} -{'loss': 0.4245, 'learning_rate': 9.675555555555555e-06, 'epoch': 0.13} -{'loss': 0.4118, 'learning_rate': 9.620000000000001e-06, 'epoch': 0.14} -{'loss': 0.4111, 'learning_rate': 9.564444444444445e-06, 'epoch': 0.14} -{'loss': 0.3642, 'learning_rate': 9.508888888888889e-06, 'epoch': 0.14} -{'loss': 0.401, 'learning_rate': 9.453333333333335e-06, 'epoch': 0.15} -{'loss': 0.3855, 'learning_rate': 9.397777777777779e-06, 'epoch': 0.15} -{'loss': 0.3668, 'learning_rate': 9.342222222222223e-06, 'epoch': 0.16} -{'loss': 0.3794, 'learning_rate': 9.286666666666667e-06, 'epoch': 0.17} -{'loss': 0.4296, 'learning_rate': 9.231111111111111e-06, 'epoch': 0.17} -{'loss': 0.4003, 'learning_rate': 9.175555555555557e-06, 'epoch': 0.17} -{'loss': 0.374, 'learning_rate': 9.12e-06, 'epoch': 0.18} -{'loss': 0.4051, 'learning_rate': 9.064444444444447e-06, 'epoch': 0.18} -{'loss': 0.3806, 'learning_rate': 9.008888888888889e-06, 'epoch': 0.19} -{'loss': 0.4161, 'learning_rate': 8.953333333333335e-06, 'epoch': 0.2} -{'loss': 0.4198, 'learning_rate': 8.897777777777779e-06, 'epoch': 0.2} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:01, 1.09s/it] Reading metadata...: 6591it [00:01, 5923.88it/s] -[INFO|trainer_utils.py:689] 2023-07-22 23:02:22,600 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 20%|██ | 1000/5000 [50:17<1:14:09, 1.11s/it][INFO|trainer.py:2700] 2023-07-22 23:32:32,471 >> Saving model checkpoint to ./checkpoint-1000 -[INFO|configuration_utils.py:447] 2023-07-22 23:32:32,472 >> Configuration saved in ./checkpoint-1000/config.json -[INFO|modeling_utils.py:1693] 2023-07-22 23:32:36,546 >> Model weights saved in ./checkpoint-1000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-22 23:32:36,559 >> Feature extractor saved in ./checkpoint-1000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-22 23:32:47,637 >> Feature extractor saved in ./preprocessor_config.json - 20%|██ | 1001/5000 [53:08<662:31:39, 596.42s/it] 20%|██ | 1002/5000 [53:10<464:00:32, 417.82s/it] 20%|██ | 1003/5000 [53:11<325:04:52, 292.79s/it] 20%|██ | 1004/5000 [53:12<227:51:21, 205.28s/it] 20%|██ | 1005/5000 [53:13<159:48:54, 144.01s/it] 20%|██ 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1.15s/it] 40%|███▉ | 1996/5000 [1:12:46<57:42, 1.15s/it] 40%|███▉ | 1997/5000 [1:12:47<56:57, 1.14s/it] 40%|███▉ | 1998/5000 [1:12:48<56:52, 1.14s/it] 40%|███▉ | 1999/5000 [1:12:50<1:13:36, 1.47s/it] 40%|████ | 2000/5000 [1:12:51<1:08:07, 1.36s/it] 40%|████ | 2000/5000 [1:12:51<1:08:07, 1.36s/it][INFO|trainer.py:2955] 2023-07-22 23:55:06,928 >> ***** Running Evaluation ***** -[INFO|trainer.py:2959] 2023-07-22 23:55:06,928 >> Num examples: Unknown -[INFO|trainer.py:2960] 2023-07-22 23:55:06,928 >> Batch size = 8 -{'eval_loss': 0.41016528010368347, 'eval_wer': 28.34865729677184, 'eval_runtime': 1814.0427, 'eval_samples_per_second': 3.633, 'eval_steps_per_second': 0.454, 'epoch': 0.2} -{'loss': 0.409, 'learning_rate': 8.842222222222223e-06, 'epoch': 0.2} -{'loss': 0.3674, 'learning_rate': 8.786666666666668e-06, 'epoch': 0.21} -{'loss': 0.3591, 'learning_rate': 8.73111111111111e-06, 'epoch': 0.21} -{'loss': 0.3892, 'learning_rate': 8.675555555555556e-06, 'epoch': 0.22} -{'loss': 0.3843, 'learning_rate': 8.62e-06, 'epoch': 0.23} -{'loss': 0.3605, 'learning_rate': 8.564444444444445e-06, 'epoch': 0.23} -{'loss': 0.326, 'learning_rate': 8.50888888888889e-06, 'epoch': 0.23} -{'loss': 0.3103, 'learning_rate': 8.453333333333334e-06, 'epoch': 0.24} -{'loss': 0.2766, 'learning_rate': 8.397777777777778e-06, 'epoch': 0.24} -{'loss': 0.3204, 'learning_rate': 8.342222222222222e-06, 'epoch': 0.25} -{'loss': 0.3426, 'learning_rate': 8.286666666666668e-06, 'epoch': 0.26} -{'loss': 0.3417, 'learning_rate': 8.231111111111112e-06, 'epoch': 0.26} -{'loss': 0.3179, 'learning_rate': 8.175555555555556e-06, 'epoch': 0.27} -{'loss': 0.2598, 'learning_rate': 8.120000000000002e-06, 'epoch': 0.27} -{'loss': 0.3453, 'learning_rate': 8.064444444444444e-06, 'epoch': 0.28} -{'loss': 0.2752, 'learning_rate': 8.00888888888889e-06, 'epoch': 0.28} -{'loss': 0.2927, 'learning_rate': 7.953333333333334e-06, 'epoch': 0.28} -{'loss': 0.3859, 'learning_rate': 7.897777777777778e-06, 'epoch': 0.29} -{'loss': 0.3137, 'learning_rate': 7.842222222222224e-06, 'epoch': 0.29} -{'loss': 0.2678, 'learning_rate': 7.786666666666666e-06, 'epoch': 0.3} -{'loss': 0.2803, 'learning_rate': 7.731111111111112e-06, 'epoch': 0.3} -{'loss': 0.2828, 'learning_rate': 7.675555555555556e-06, 'epoch': 0.31} -{'loss': 0.3655, 'learning_rate': 7.620000000000001e-06, 'epoch': 0.32} -{'loss': 0.3321, 'learning_rate': 7.564444444444446e-06, 'epoch': 0.32} -{'loss': 0.3649, 'learning_rate': 7.50888888888889e-06, 'epoch': 0.33} -{'loss': 0.3229, 'learning_rate': 7.453333333333334e-06, 'epoch': 0.33} -{'loss': 0.3115, 'learning_rate': 7.3977777777777786e-06, 'epoch': 0.34} -{'loss': 0.2925, 'learning_rate': 7.342222222222223e-06, 'epoch': 0.34} -{'loss': 0.3014, 'learning_rate': 7.2866666666666675e-06, 'epoch': 0.34} -{'loss': 0.3303, 'learning_rate': 7.231111111111112e-06, 'epoch': 0.35} -{'loss': 0.3174, 'learning_rate': 7.1755555555555556e-06, 'epoch': 0.35} -{'loss': 0.3249, 'learning_rate': 7.1200000000000004e-06, 'epoch': 0.36} -{'loss': 0.2678, 'learning_rate': 7.0644444444444445e-06, 'epoch': 0.36} -{'loss': 0.3088, 'learning_rate': 7.008888888888889e-06, 'epoch': 0.37} -{'loss': 0.2515, 'learning_rate': 6.953333333333334e-06, 'epoch': 0.38} -{'loss': 0.2838, 'learning_rate': 6.897777777777779e-06, 'epoch': 0.38} -{'loss': 0.2494, 'learning_rate': 6.842222222222222e-06, 'epoch': 0.39} -{'loss': 0.205, 'learning_rate': 6.786666666666667e-06, 'epoch': 0.39} -{'loss': 0.2439, 'learning_rate': 6.731111111111111e-06, 'epoch': 0.4} -{'loss': 0.2547, 'learning_rate': 6.675555555555556e-06, 'epoch': 0.4} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 1.98it/s] Reading metadata...: 6591it [00:00, 12533.72it/s] -[INFO|trainer_utils.py:689] 2023-07-22 23:55:09,297 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 40%|████ | 2000/5000 [1:42:59<1:08:07, 1.36s/it][INFO|trainer.py:2700] 2023-07-23 00:25:14,846 >> Saving model checkpoint to ./checkpoint-2000 -[INFO|configuration_utils.py:447] 2023-07-23 00:25:14,847 >> Configuration saved in ./checkpoint-2000/config.json -[INFO|modeling_utils.py:1693] 2023-07-23 00:25:18,835 >> Model weights saved in ./checkpoint-2000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 00:25:18,852 >> Feature extractor saved in ./checkpoint-2000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-23 00:25:31,974 >> Feature extractor saved in ./preprocessor_config.json - 40%|████ | 2001/5000 [1:45:44<493:50:21, 592.80s/it] 40%|████ | 2002/5000 [1:45:45<345:51:54, 415.31s/it] 40%|████ | 2003/5000 [1:45:47<242:17:40, 291.04s/it] 40%|████ | 2004/5000 [1:45:48<169:48:58, 204.05s/it] 40%|████ | 2005/5000 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1.11s/it] 60%|█████▉ | 2992/5000 [2:05:16<37:22, 1.12s/it] 60%|█████▉ | 2993/5000 [2:05:17<37:26, 1.12s/it] 60%|█████▉ | 2994/5000 [2:05:18<37:25, 1.12s/it] 60%|█████▉ | 2995/5000 [2:05:20<37:19, 1.12s/it] 60%|█████▉ | 2996/5000 [2:05:21<37:22, 1.12s/it] 60%|█████▉ | 2997/5000 [2:05:22<37:28, 1.12s/it] 60%|█████▉ | 2998/5000 [2:05:23<37:29, 1.12s/it] 60%|█████▉ | 2999/5000 [2:05:24<37:23, 1.12s/it] 60%|██████ | 3000/5000 [2:05:25<37:23, 1.12s/it] 60%|██████ | 3000/5000 [2:05:25<37:23, 1.12s/it][INFO|trainer.py:2955] 2023-07-23 00:47:40,592 >> ***** Running Evaluation ***** -[INFO|trainer.py:2959] 2023-07-23 00:47:40,592 >> Num examples: Unknown -[INFO|trainer.py:2960] 2023-07-23 00:47:40,592 >> Batch size = 8 -{'eval_loss': 0.31417879462242126, 'eval_wer': 21.643241929604276, 'eval_runtime': 1807.9177, 'eval_samples_per_second': 3.646, 'eval_steps_per_second': 0.456, 'epoch': 0.4} -{'loss': 0.212, 'learning_rate': 6.620000000000001e-06, 'epoch': 0.41} -{'loss': 0.2386, 'learning_rate': 6.564444444444446e-06, 'epoch': 0.41} -{'loss': 0.2429, 'learning_rate': 6.508888888888889e-06, 'epoch': 0.41} -{'loss': 0.3079, 'learning_rate': 6.453333333333334e-06, 'epoch': 0.42} -{'loss': 0.2576, 'learning_rate': 6.397777777777778e-06, 'epoch': 0.42} -{'loss': 0.2558, 'learning_rate': 6.342222222222223e-06, 'epoch': 0.43} -{'loss': 0.2904, 'learning_rate': 6.286666666666668e-06, 'epoch': 0.43} -{'loss': 0.2423, 'learning_rate': 6.231111111111111e-06, 'epoch': 0.44} -{'loss': 0.255, 'learning_rate': 6.175555555555556e-06, 'epoch': 0.45} -{'loss': 0.2142, 'learning_rate': 6.120000000000001e-06, 'epoch': 0.45} -{'loss': 0.2687, 'learning_rate': 6.064444444444445e-06, 'epoch': 0.46} -{'loss': 0.2617, 'learning_rate': 6.00888888888889e-06, 'epoch': 0.46} -{'loss': 0.2414, 'learning_rate': 5.9533333333333345e-06, 'epoch': 0.47} -{'loss': 0.2048, 'learning_rate': 5.897777777777778e-06, 'epoch': 0.47} -{'loss': 0.222, 'learning_rate': 5.8422222222222226e-06, 'epoch': 0.47} -{'loss': 0.2453, 'learning_rate': 5.7866666666666674e-06, 'epoch': 0.48} -{'loss': 0.2099, 'learning_rate': 5.7311111111111115e-06, 'epoch': 0.48} -{'loss': 0.2515, 'learning_rate': 5.675555555555556e-06, 'epoch': 0.49} -{'loss': 0.2232, 'learning_rate': 5.620000000000001e-06, 'epoch': 0.49} -{'loss': 0.1946, 'learning_rate': 5.5644444444444444e-06, 'epoch': 0.5} -{'loss': 0.2176, 'learning_rate': 5.508888888888889e-06, 'epoch': 0.51} -{'loss': 0.2565, 'learning_rate': 5.453333333333334e-06, 'epoch': 0.51} -{'loss': 0.2452, 'learning_rate': 5.397777777777778e-06, 'epoch': 0.52} -{'loss': 0.2851, 'learning_rate': 5.342222222222223e-06, 'epoch': 0.52} -{'loss': 0.1891, 'learning_rate': 5.286666666666666e-06, 'epoch': 0.53} -{'loss': 0.2404, 'learning_rate': 5.231111111111111e-06, 'epoch': 0.53} -{'loss': 0.2037, 'learning_rate': 5.175555555555556e-06, 'epoch': 0.54} -{'loss': 0.215, 'learning_rate': 5.12e-06, 'epoch': 0.54} -{'loss': 0.2115, 'learning_rate': 5.064444444444445e-06, 'epoch': 0.55} -{'loss': 0.2491, 'learning_rate': 5.00888888888889e-06, 'epoch': 0.55} -{'loss': 0.1979, 'learning_rate': 4.953333333333334e-06, 'epoch': 0.56} -{'loss': 0.224, 'learning_rate': 4.897777777777778e-06, 'epoch': 0.56} -{'loss': 0.2065, 'learning_rate': 4.842222222222223e-06, 'epoch': 0.56} -{'loss': 0.2144, 'learning_rate': 4.786666666666667e-06, 'epoch': 0.57} -{'loss': 0.2141, 'learning_rate': 4.731111111111112e-06, 'epoch': 0.57} -{'loss': 0.1953, 'learning_rate': 4.675555555555556e-06, 'epoch': 0.58} -{'loss': 0.1907, 'learning_rate': 4.620000000000001e-06, 'epoch': 0.58} -{'loss': 0.2292, 'learning_rate': 4.564444444444445e-06, 'epoch': 0.59} -{'loss': 0.2164, 'learning_rate': 4.50888888888889e-06, 'epoch': 0.59} -{'loss': 0.2145, 'learning_rate': 4.453333333333334e-06, 'epoch': 0.6} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.77it/s] Reading metadata...: 6591it [00:00, 17231.71it/s] -[INFO|trainer_utils.py:689] 2023-07-23 00:47:42,443 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 60%|██████ | 3000/5000 [2:35:28<37:23, 1.12s/it][INFO|trainer.py:2700] 2023-07-23 01:17:43,401 >> Saving model checkpoint to ./checkpoint-3000 -[INFO|configuration_utils.py:447] 2023-07-23 01:17:43,401 >> Configuration saved in ./checkpoint-3000/config.json -[INFO|modeling_utils.py:1693] 2023-07-23 01:17:47,574 >> Model weights saved in ./checkpoint-3000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 01:17:47,584 >> Feature extractor saved in ./checkpoint-3000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-23 01:18:00,185 >> Feature extractor saved in ./preprocessor_config.json - 60%|██████ | 3001/5000 [2:38:17<328:51:19, 592.24s/it] 60%|██████ | 3002/5000 [2:38:18<230:15:41, 414.89s/it] 60%|██████ | 3003/5000 [2:38:19<161:16:55, 290.74s/it] 60%|██████ | 3004/5000 [2:38:20<113:01:15, 203.85s/it] 60%|██████ | 3005/5000 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3.897777777777778e-06, 'epoch': 0.65} -{'loss': 0.1846, 'learning_rate': 3.842222222222223e-06, 'epoch': 0.66} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:01, 1.25s/it] Reading metadata...: 10918it [00:01, 8490.81it/s] - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:01, 1.17s/it] Reading metadata...: 6591it [00:01, 5549.47it/s] - 66%|██████▌ | 3297/5000 [2:44:13<7:16:00, 15.36s/it] 66%|██████▌ | 3298/5000 [2:44:14<5:15:43, 11.13s/it] 66%|██████▌ | 3299/5000 [2:44:15<3:51:33, 8.17s/it] 66%|██████▌ | 3300/5000 [2:44:17<2:52:22, 6.08s/it] 66%|██████▌ | 3300/5000 [2:44:17<2:52:22, 6.08s/it] 66%|██████▌ | 3301/5000 [2:44:18<2:11:09, 4.63s/it] 66%|██████▌ | 3302/5000 [2:44:19<1:42:19, 3.62s/it] 66%|██████▌ | 3303/5000 [2:44:20<1:22:14, 2.91s/it] 66%|██████▌ | 3304/5000 [2:44:21<1:07:11, 2.38s/it] 66%|██████▌ | 3305/5000 [2:44:23<56:09, 1.99s/it] 66%|██████▌ | 3306/5000 [2:44:24<48:31, 1.72s/it] 66%|██████▌ | 3307/5000 [2:44:25<43:10, 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3.7311111111111116e-06, 'epoch': 1.01} -{'loss': 0.2128, 'learning_rate': 3.675555555555556e-06, 'epoch': 1.01} -{'loss': 0.2002, 'learning_rate': 3.62e-06, 'epoch': 1.02} -{'loss': 0.1861, 'learning_rate': 3.564444444444445e-06, 'epoch': 1.02} -{'loss': 0.176, 'learning_rate': 3.508888888888889e-06, 'epoch': 1.03} -{'loss': 0.1659, 'learning_rate': 3.4533333333333334e-06, 'epoch': 1.03} -{'loss': 0.1545, 'learning_rate': 3.3977777777777783e-06, 'epoch': 1.04} -{'loss': 0.1314, 'learning_rate': 3.3422222222222224e-06, 'epoch': 1.04} -{'loss': 0.1573, 'learning_rate': 3.286666666666667e-06, 'epoch': 1.05} -{'loss': 0.1696, 'learning_rate': 3.2311111111111117e-06, 'epoch': 1.05} -{'loss': 0.1348, 'learning_rate': 3.1755555555555557e-06, 'epoch': 1.06} -{'loss': 0.1477, 'learning_rate': 3.12e-06, 'epoch': 1.06} -{'loss': 0.1464, 'learning_rate': 3.064444444444445e-06, 'epoch': 1.07} -{'loss': 0.1027, 'learning_rate': 3.008888888888889e-06, 'epoch': 1.07} -{'loss': 0.1032, 'learning_rate': 2.9533333333333336e-06, 'epoch': 1.08} -{'loss': 0.0937, 'learning_rate': 2.8977777777777785e-06, 'epoch': 1.08} -{'loss': 0.0975, 'learning_rate': 2.8422222222222225e-06, 'epoch': 1.09} -{'loss': 0.0922, 'learning_rate': 2.786666666666667e-06, 'epoch': 1.09} -{'loss': 0.1045, 'learning_rate': 2.7311111111111114e-06, 'epoch': 1.1} -{'loss': 0.0816, 'learning_rate': 2.675555555555556e-06, 'epoch': 1.1} -{'loss': 0.1011, 'learning_rate': 2.6200000000000003e-06, 'epoch': 1.11} -{'loss': 0.0883, 'learning_rate': 2.5644444444444444e-06, 'epoch': 1.11} -{'loss': 0.0872, 'learning_rate': 2.5088888888888892e-06, 'epoch': 1.12} -{'loss': 0.1131, 'learning_rate': 2.4533333333333333e-06, 'epoch': 1.12} -{'loss': 0.1031, 'learning_rate': 2.397777777777778e-06, 'epoch': 1.13} -{'loss': 0.0985, 'learning_rate': 2.342222222222222e-06, 'epoch': 1.13} -{'loss': 0.1057, 'learning_rate': 2.2866666666666667e-06, 'epoch': 1.14} -{'loss': 0.0828, 'learning_rate': 2.2311111111111115e-06, 'epoch': 1.14} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.83it/s] Reading metadata...: 6591it [00:00, 17557.48it/s] -[INFO|trainer_utils.py:689] 2023-07-23 01:40:19,959 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 80%|████████ | 4000/5000 [3:28:07<18:44, 1.12s/it][INFO|trainer.py:2700] 2023-07-23 02:10:22,818 >> Saving model checkpoint to ./checkpoint-4000 -[INFO|configuration_utils.py:447] 2023-07-23 02:10:22,819 >> Configuration saved in ./checkpoint-4000/config.json -[INFO|modeling_utils.py:1693] 2023-07-23 02:10:26,798 >> Model weights saved in ./checkpoint-4000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 02:10:26,804 >> Feature extractor saved in ./checkpoint-4000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-23 02:10:38,572 >> Feature extractor saved in ./preprocessor_config.json - 80%|████████ | 4001/5000 [3:30:47<163:47:50, 590.26s/it] 80%|████████ | 4002/5000 [3:30:48<114:38:42, 413.55s/it] 80%|████████ | 4003/5000 [3:30:50<80:16:22, 289.85s/it] 80%|████████ | 4004/5000 [3:30:51<56:14:10, 203.26s/it] 80%|████████ | 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4993/5000 [3:49:56<00:08, 1.14s/it] 100%|█████████▉| 4994/5000 [3:49:57<00:06, 1.14s/it] 100%|█████████▉| 4995/5000 [3:49:58<00:05, 1.14s/it] 100%|█████████▉| 4996/5000 [3:49:59<00:04, 1.13s/it] 100%|█████████▉| 4997/5000 [3:50:00<00:03, 1.13s/it] 100%|█████████▉| 4998/5000 [3:50:01<00:02, 1.13s/it] 100%|█████████▉| 4999/5000 [3:50:02<00:01, 1.13s/it] 100%|██████████| 5000/5000 [3:50:03<00:00, 1.13s/it] 100%|██████████| 5000/5000 [3:50:03<00:00, 1.13s/it][INFO|trainer.py:2955] 2023-07-23 02:32:18,940 >> ***** Running Evaluation ***** -[INFO|trainer.py:2959] 2023-07-23 02:32:18,940 >> Num examples: Unknown -[INFO|trainer.py:2960] 2023-07-23 02:32:18,941 >> Batch size = 8 -{'eval_loss': 0.23880085349082947, 'eval_wer': 15.300336182105392, 'eval_runtime': 1805.0898, 'eval_samples_per_second': 3.651, 'eval_steps_per_second': 0.456, 'epoch': 1.14} -{'loss': 0.0873, 'learning_rate': 2.1755555555555556e-06, 'epoch': 1.15} -{'loss': 0.0848, 'learning_rate': 2.12e-06, 'epoch': 1.15} -{'loss': 0.0936, 'learning_rate': 2.064444444444445e-06, 'epoch': 1.16} -{'loss': 0.0965, 'learning_rate': 2.008888888888889e-06, 'epoch': 1.16} -{'loss': 0.0923, 'learning_rate': 1.9533333333333334e-06, 'epoch': 1.17} -{'loss': 0.0793, 'learning_rate': 1.8977777777777779e-06, 'epoch': 1.17} -{'loss': 0.0848, 'learning_rate': 1.8422222222222225e-06, 'epoch': 1.18} -{'loss': 0.0956, 'learning_rate': 1.7866666666666668e-06, 'epoch': 1.18} -{'loss': 0.0814, 'learning_rate': 1.7311111111111112e-06, 'epoch': 1.19} -{'loss': 0.1086, 'learning_rate': 1.675555555555556e-06, 'epoch': 1.19} -{'loss': 0.1057, 'learning_rate': 1.6200000000000002e-06, 'epoch': 1.2} -{'loss': 0.091, 'learning_rate': 1.5644444444444446e-06, 'epoch': 1.2} -{'loss': 0.0857, 'learning_rate': 1.5088888888888889e-06, 'epoch': 1.21} -{'loss': 0.0904, 'learning_rate': 1.4533333333333335e-06, 'epoch': 1.21} -{'loss': 0.0714, 'learning_rate': 1.397777777777778e-06, 'epoch': 1.22} -{'loss': 0.071, 'learning_rate': 1.3422222222222222e-06, 'epoch': 1.22} -{'loss': 0.0689, 'learning_rate': 1.286666666666667e-06, 'epoch': 1.23} -{'loss': 0.0597, 'learning_rate': 1.2311111111111112e-06, 'epoch': 1.23} -{'loss': 0.0737, 'learning_rate': 1.1755555555555556e-06, 'epoch': 1.24} -{'loss': 0.0712, 'learning_rate': 1.12e-06, 'epoch': 1.24} -{'loss': 0.0641, 'learning_rate': 1.0644444444444445e-06, 'epoch': 1.25} -{'loss': 0.0605, 'learning_rate': 1.008888888888889e-06, 'epoch': 1.25} -{'loss': 0.0981, 'learning_rate': 9.533333333333335e-07, 'epoch': 1.26} -{'loss': 0.0751, 'learning_rate': 8.977777777777778e-07, 'epoch': 1.26} -{'loss': 0.0645, 'learning_rate': 8.422222222222224e-07, 'epoch': 1.27} -{'loss': 0.0573, 'learning_rate': 7.866666666666667e-07, 'epoch': 1.27} -{'loss': 0.0672, 'learning_rate': 7.311111111111112e-07, 'epoch': 1.28} -{'loss': 0.0891, 'learning_rate': 6.755555555555555e-07, 'epoch': 1.28} -{'loss': 0.0605, 'learning_rate': 6.200000000000001e-07, 'epoch': 1.29} -{'loss': 0.0686, 'learning_rate': 5.644444444444445e-07, 'epoch': 1.29} -{'loss': 0.0708, 'learning_rate': 5.088888888888889e-07, 'epoch': 1.3} -{'loss': 0.0594, 'learning_rate': 4.533333333333334e-07, 'epoch': 1.3} -{'loss': 0.0615, 'learning_rate': 3.9777777777777783e-07, 'epoch': 1.31} -{'loss': 0.0574, 'learning_rate': 3.422222222222223e-07, 'epoch': 1.31} -{'loss': 0.0772, 'learning_rate': 2.866666666666667e-07, 'epoch': 1.32} -{'loss': 0.0713, 'learning_rate': 2.3111111111111112e-07, 'epoch': 1.32} -{'loss': 0.0634, 'learning_rate': 1.7555555555555558e-07, 'epoch': 1.33} -{'loss': 0.078, 'learning_rate': 1.2000000000000002e-07, 'epoch': 1.33} -{'loss': 0.0827, 'learning_rate': 6.444444444444445e-08, 'epoch': 1.34} -{'loss': 0.0729, 'learning_rate': 8.88888888888889e-09, 'epoch': 1.34} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.76it/s] Reading metadata...: 6591it [00:00, 17205.75it/s] -[INFO|trainer_utils.py:689] 2023-07-23 02:32:21,014 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 100%|██████████| 5000/5000 [4:20:13<00:00, 1.13s/it][INFO|trainer.py:2700] 2023-07-23 03:02:28,471 >> Saving model checkpoint to ./checkpoint-5000 -[INFO|configuration_utils.py:447] 2023-07-23 03:02:28,472 >> Configuration saved in ./checkpoint-5000/config.json -[INFO|modeling_utils.py:1693] 2023-07-23 03:02:32,460 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 03:02:32,467 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-23 03:02:45,601 >> Feature extractor saved in ./preprocessor_config.json -[INFO|trainer.py:1892] 2023-07-23 03:05:13,384 >> - -Training completed. Do not forget to share your model on huggingface.co/models =) - - -[INFO|trainer.py:2016] 2023-07-23 03:05:13,384 >> Loading best model from ./checkpoint-5000 (score: 13.996111628660538). - 100%|██████████| 5000/5000 [4:22:59<00:00, 1.13s/it] 100%|██████████| 5000/5000 [4:22:59<00:00, 3.16s/it] -[INFO|trainer.py:2700] 2023-07-23 03:05:14,780 >> Saving model checkpoint to ./ -[INFO|configuration_utils.py:447] 2023-07-23 03:05:14,781 >> Configuration saved in ./config.json -[INFO|modeling_utils.py:1693] 2023-07-23 03:05:18,856 >> Model weights saved in ./pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 03:05:18,866 >> Feature extractor saved in ./preprocessor_config.json -[INFO|trainer.py:2700] 2023-07-23 03:05:18,867 >> Saving model checkpoint to ./ -[INFO|configuration_utils.py:447] 2023-07-23 03:05:18,867 >> Configuration saved in ./config.json -[INFO|modeling_utils.py:1693] 2023-07-23 03:05:23,030 >> Model weights saved in ./pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 03:05:23,040 >> Feature extractor saved in ./preprocessor_config.json -{'eval_loss': 0.2256375402212143, 'eval_wer': 13.996111628660538, 'eval_runtime': 1809.5302, 'eval_samples_per_second': 3.642, 'eval_steps_per_second': 0.455, 'epoch': 1.34} -{'train_runtime': 15779.8251, 'train_samples_per_second': 1.267, 'train_steps_per_second': 0.317, 'train_loss': 0.2607154120922089, 'epoch': 1.34} - Upload file runs/Jul22_22-41-53_tknadmin-System-Product-Name/events.out.tfevents.1690058534.tknadmin-System-Product-Name.3969872.0: 87%|████████▋ | 32.0k/36.7k [00:00 main - -07/23/2023 03:05:43 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-medium-eu - ca66a5d..029efe6 main -> main - - Upload file runs/Jul22_22-41-53_tknadmin-System-Product-Name/events.out.tfevents.1690058534.tknadmin-System-Product-Name.3969872.0: 100%|██████████| 36.7k/36.7k [00:01<00:00, 4.83kB/s] Upload file runs/Jul22_22-41-53_tknadmin-System-Product-Name/events.out.tfevents.1690058534.tknadmin-System-Product-Name.3969872.0: 100%|██████████| 36.7k/36.7k [00:01<00:00, 4.83kB/s] Upload file runs/Jul22_22-41-53_tknadmin-System-Product-Name/events.out.tfevents.1690058534.tknadmin-System-Product-Name.3969872.0: 100%|██████████| 36.7k/36.7k [00:01<00:00, 4.83kB/s] -To https://huggingface.co/xezpeleta/whisper-medium-eu - 029efe6..257c7d5 main -> main - -07/23/2023 03:05:47 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-medium-eu - 029efe6..257c7d5 main -> main - -***** train metrics ***** - epoch = 1.34 - train_loss = 0.2607 - train_runtime = 4:22:59.82 - train_samples_per_second = 1.267 - train_steps_per_second = 0.317 -07/23/2023 03:05:50 - INFO - __main__ - *** Evaluate *** -[INFO|trainer.py:2955] 2023-07-23 03:05:50,448 >> ***** Running Evaluation ***** -[INFO|trainer.py:2959] 2023-07-23 03:05:50,448 >> Num examples: Unknown -[INFO|trainer.py:2960] 2023-07-23 03:05:50,448 >> Batch size = 8 - Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 2.75it/s] Reading metadata...: 6591it [00:00, 16603.18it/s] -[INFO|trainer_utils.py:689] 2023-07-23 03:05:52,742 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. -[INFO|trainer.py:2700] 2023-07-23 03:35:43,854 >> Saving model checkpoint to ./ -[INFO|configuration_utils.py:447] 2023-07-23 03:35:43,854 >> Configuration saved in ./config.json -[INFO|modeling_utils.py:1693] 2023-07-23 03:35:47,924 >> Model weights saved in ./pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 03:35:47,934 >> Feature extractor saved in ./preprocessor_config.json -***** eval metrics ***** - epoch = 1.34 - eval_loss = 0.2256 - eval_runtime = 0:29:53.40 - eval_samples_per_second = 3.675 - eval_steps_per_second = 0.459 - eval_wer = 13.9961 - Upload file runs/Jul22_22-41-53_tknadmin-System-Product-Name/events.out.tfevents.1690076143.tknadmin-System-Product-Name.3969872.2: 100%|██████████| 358/358 [00:00 main - -07/23/2023 03:36:05 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-medium-eu - 257c7d5..cc6bef5 main -> main - - Upload file runs/Jul22_22-41-53_tknadmin-System-Product-Name/events.out.tfevents.1690076143.tknadmin-System-Product-Name.3969872.2: 100%|██████████| 358/358 [00:01 main - -07/23/2023 03:36:09 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-medium-eu - cc6bef5..af47934 main -> main - -07/23/2023 08:44:44 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True -07/23/2023 08:44:44 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul23_08-44-43_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=7000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=8, -per_device_train_batch_size=4, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/23/2023 08:44:44 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( -_n_gpu=1, -adafactor=False, -adam_beta1=0.9, -adam_beta2=0.999, -adam_epsilon=1e-08, -auto_find_batch_size=False, -bf16=False, -bf16_full_eval=False, -data_seed=None, -dataloader_drop_last=False, -dataloader_num_workers=0, -dataloader_pin_memory=True, -ddp_bucket_cap_mb=None, -ddp_find_unused_parameters=None, -ddp_timeout=1800, -debug=[], -deepspeed=None, -disable_tqdm=False, -do_eval=True, -do_predict=False, -do_train=True, -eval_accumulation_steps=None, -eval_delay=0, -eval_steps=1000, -evaluation_strategy=steps, -fp16=True, -fp16_backend=auto, -fp16_full_eval=False, -fp16_opt_level=O1, -fsdp=[], -fsdp_min_num_params=0, -fsdp_transformer_layer_cls_to_wrap=None, -full_determinism=False, -generation_max_length=225, -generation_num_beams=None, -gradient_accumulation_steps=1, -gradient_checkpointing=True, -greater_is_better=False, -group_by_length=False, -half_precision_backend=auto, -hub_model_id=None, -hub_private_repo=False, -hub_strategy=every_save, -hub_token=, -ignore_data_skip=False, -include_inputs_for_metrics=False, -jit_mode_eval=False, -label_names=None, -label_smoothing_factor=0.0, -learning_rate=1e-05, -length_column_name=input_length, -load_best_model_at_end=True, -local_rank=-1, -log_level=passive, -log_level_replica=passive, -log_on_each_node=True, -logging_dir=./runs/Jul23_08-44-43_tknadmin-System-Product-Name, -logging_first_step=False, -logging_nan_inf_filter=True, -logging_steps=25, -logging_strategy=steps, -lr_scheduler_type=linear, -max_grad_norm=1.0, -max_steps=7000, -metric_for_best_model=wer, -mp_parameters=, -no_cuda=False, -num_train_epochs=3.0, -optim=adamw_hf, -optim_args=None, -output_dir=./, -overwrite_output_dir=True, -past_index=-1, -per_device_eval_batch_size=8, -per_device_train_batch_size=4, -predict_with_generate=True, -prediction_loss_only=False, -push_to_hub=True, -push_to_hub_model_id=None, -push_to_hub_organization=None, -push_to_hub_token=, -ray_scope=last, -remove_unused_columns=True, -report_to=['tensorboard'], -resume_from_checkpoint=None, -run_name=./, -save_on_each_node=False, -save_steps=1000, -save_strategy=steps, -save_total_limit=None, -seed=42, -sharded_ddp=[], -skip_memory_metrics=True, -sortish_sampler=False, -tf32=None, -torch_compile=False, -torch_compile_backend=None, -torch_compile_mode=None, -torchdynamo=None, -tpu_metrics_debug=False, -tpu_num_cores=None, -use_ipex=False, -use_legacy_prediction_loop=False, -use_mps_device=False, -warmup_ratio=0.0, -warmup_steps=500, -weight_decay=0.0, -xpu_backend=None, -) -07/23/2023 08:44:47 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/23/2023 08:44:50 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -07/23/2023 08:44:53 - INFO - datasets.info - Loading Dataset Infos from /home/xezpeleta/.cache/huggingface/modules/datasets_modules/datasets/mozilla-foundation--common_voice_13_0/2506e9a8950f5807ceae08c2920e814222909fd7f477b74f5d225802e9f04055 -[INFO|configuration_utils.py:654] 2023-07-23 08:44:54,014 >> loading configuration file config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/config.json -[INFO|configuration_utils.py:706] 2023-07-23 08:44:54,018 >> Model config WhisperConfig { - "_name_or_path": "openai/whisper-medium", - "activation_dropout": 0.0, - "activation_function": "gelu", - "architectures": [ - "WhisperForConditionalGeneration" - ], - "attention_dropout": 0.0, - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "d_model": 1024, - "decoder_attention_heads": 16, - "decoder_ffn_dim": 4096, - "decoder_layerdrop": 0.0, - "decoder_layers": 24, - "decoder_start_token_id": 50258, - "dropout": 0.0, - "encoder_attention_heads": 16, - "encoder_ffn_dim": 4096, - "encoder_layerdrop": 0.0, - "encoder_layers": 24, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - 50259 - ], - [ - 2, - 50359 - ], - [ - 3, - 50363 - ] - ], - "init_std": 0.02, - "is_encoder_decoder": true, - "max_length": 448, - "max_source_positions": 1500, - "max_target_positions": 448, - "model_type": "whisper", - "num_hidden_layers": 24, - "num_mel_bins": 80, - "pad_token_id": 50257, - "scale_embedding": false, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "torch_dtype": "float32", - "transformers_version": "4.26.0.dev0", - "use_cache": true, - "vocab_size": 51865 -} - -[INFO|feature_extraction_utils.py:464] 2023-07-23 08:44:54,209 >> loading configuration file preprocessor_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-23 08:44:54,225 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - "feature_size": 80, - "hop_length": 160, - "mel_filters": [ - [ - -0.0, - 0.02486259490251541, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 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08:44:54,433 >> loading file tokenizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/tokenizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-23 08:44:54,433 >> loading file merges.txt from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/merges.txt -[INFO|tokenization_utils_base.py:1799] 2023-07-23 08:44:54,433 >> loading file normalizer.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/normalizer.json -[INFO|tokenization_utils_base.py:1799] 2023-07-23 08:44:54,433 >> loading file added_tokens.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/added_tokens.json -[INFO|tokenization_utils_base.py:1799] 2023-07-23 08:44:54,433 >> loading file special_tokens_map.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/special_tokens_map.json -[INFO|tokenization_utils_base.py:1799] 2023-07-23 08:44:54,433 >> loading file tokenizer_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,468 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,469 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:44:54,470 >> Adding <|notimestamps|> to the vocabulary -[INFO|modeling_utils.py:2264] 2023-07-23 08:44:54,473 >> loading weights file pytorch_model.bin from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/pytorch_model.bin -[INFO|configuration_utils.py:523] 2023-07-23 08:44:57,531 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "max_length": 448, - "pad_token_id": 50257, - "transformers_version": "4.26.0.dev0", - "use_cache": false -} - -[INFO|modeling_utils.py:2842] 2023-07-23 08:45:01,041 >> All model checkpoint weights were used when initializing WhisperForConditionalGeneration. - -[INFO|modeling_utils.py:2850] 2023-07-23 08:45:01,041 >> All the weights of WhisperForConditionalGeneration were initialized from the model checkpoint at openai/whisper-medium. -If your task is similar to the task the model of the checkpoint was trained on, you can already use WhisperForConditionalGeneration for predictions without further training. -[INFO|configuration_utils.py:487] 2023-07-23 08:45:01,431 >> loading configuration file generation_config.json from cache at /home/xezpeleta/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/8b6593e88fc558a10e78c6e5fa65311eddaa7c2a/generation_config.json -[INFO|configuration_utils.py:523] 2023-07-23 08:45:01,431 >> Generate config GenerationConfig { - "begin_suppress_tokens": [ - 220, - 50257 - ], - "bos_token_id": 50257, - "decoder_start_token_id": 50258, - "eos_token_id": 50257, - "forced_decoder_ids": [ - [ - 1, - null - ], - [ - 2, - 50359 - ] - ], - "max_length": 448, - "pad_token_id": 50257, - "suppress_tokens": [ - 1, - 2, - 7, - 8, - 9, - 10, - 14, - 25, - 26, - 27, - 28, - 29, - 31, - 58, - 59, - 60, - 61, - 62, - 63, - 90, - 91, - 92, - 93, - 359, - 503, - 522, - 542, - 873, - 893, - 902, - 918, - 922, - 931, - 1350, - 1853, - 1982, - 2460, - 2627, - 3246, - 3253, - 3268, - 3536, - 3846, - 3961, - 4183, - 4667, - 6585, - 6647, - 7273, - 9061, - 9383, - 10428, - 10929, - 11938, - 12033, - 12331, - 12562, - 13793, - 14157, - 14635, - 15265, - 15618, - 16553, - 16604, - 18362, - 18956, - 20075, - 21675, - 22520, - 26130, - 26161, - 26435, - 28279, - 29464, - 31650, - 32302, - 32470, - 36865, - 42863, - 47425, - 49870, - 50254, - 50258, - 50358, - 50359, - 50360, - 50361, - 50362 - ], - "transformers_version": "4.26.0.dev0" -} - -[INFO|feature_extraction_utils.py:368] 2023-07-23 08:45:02,498 >> Feature extractor saved in ./preprocessor_config.json -[INFO|tokenization_utils_base.py:2157] 2023-07-23 08:45:02,499 >> tokenizer config file saved in ./tokenizer_config.json -[INFO|tokenization_utils_base.py:2164] 2023-07-23 08:45:02,499 >> Special tokens file saved in ./special_tokens_map.json -[INFO|tokenization_utils_base.py:2210] 2023-07-23 08:45:02,499 >> added tokens file saved in ./added_tokens.json -[INFO|configuration_utils.py:447] 2023-07-23 08:45:02,534 >> Configuration saved in ./config.json -[INFO|image_processing_utils.py:294] 2023-07-23 08:45:02,535 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:462] 2023-07-23 08:45:02,540 >> loading configuration file ./preprocessor_config.json -[INFO|feature_extraction_utils.py:501] 2023-07-23 08:45:02,546 >> Feature extractor WhisperFeatureExtractor { - "chunk_length": 30, - "feature_extractor_type": "WhisperFeatureExtractor", - "feature_size": 80, - "hop_length": 160, - "mel_filters": [ - [ - -0.0, - 0.02486259490251541, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, 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0.002692554146051407, - 0.0022437951993197203, - 0.00179503601975739, - 0.0013462770730257034, - 0.000897518009878695, - 0.0004487590049393475, - 0.0 - ] - ], - "n_fft": 400, - "n_samples": 480000, - "nb_max_frames": 3000, - "padding_side": "right", - "padding_value": 0.0, - "processor_class": "WhisperProcessor", - "return_attention_mask": false, - "sampling_rate": 16000 -} - -[INFO|tokenization_utils_base.py:1797] 2023-07-23 08:45:02,546 >> loading file vocab.json -[INFO|tokenization_utils_base.py:1797] 2023-07-23 08:45:02,546 >> loading file tokenizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-23 08:45:02,546 >> loading file merges.txt -[INFO|tokenization_utils_base.py:1797] 2023-07-23 08:45:02,546 >> loading file normalizer.json -[INFO|tokenization_utils_base.py:1797] 2023-07-23 08:45:02,546 >> loading file added_tokens.json -[INFO|tokenization_utils_base.py:1797] 2023-07-23 08:45:02,546 >> loading file special_tokens_map.json -[INFO|tokenization_utils_base.py:1797] 2023-07-23 08:45:02,546 >> loading file tokenizer_config.json -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|startoftranscript|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|en|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|zh|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|de|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|es|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|ru|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|ko|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|fr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|ja|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|pt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|tr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|pl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|ca|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|nl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|ar|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|sv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|it|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|id|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|hi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|fi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|vi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|he|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|uk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|el|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|ms|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|cs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|ro|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|da|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|hu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|ta|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,577 >> Adding <|no|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|th|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|ur|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|hr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|bg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|lt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|la|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|mi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|ml|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|cy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|sk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|te|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|fa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|lv|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|bn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|sr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|az|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|sl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|kn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|et|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|mk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|br|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|eu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|is|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|hy|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|ne|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|mn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|bs|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|kk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|sq|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|sw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|gl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|mr|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|pa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|si|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|km|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|sn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|yo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|so|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|af|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|oc|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|ka|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|be|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|tg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|sd|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|gu|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|am|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|yi|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|lo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|uz|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|fo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|ht|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|ps|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|tk|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|nn|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|mt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|sa|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|lb|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|my|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|bo|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|tl|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|mg|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|as|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,578 >> Adding <|tt|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,579 >> Adding <|haw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,579 >> Adding <|ln|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,579 >> Adding <|ha|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,579 >> Adding <|ba|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,579 >> Adding <|jw|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,579 >> Adding <|su|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,579 >> Adding <|translate|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,579 >> Adding <|transcribe|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,579 >> Adding <|startoflm|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,579 >> Adding <|startofprev|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,579 >> Adding <|nocaptions|> to the vocabulary -[INFO|tokenization_utils.py:426] 2023-07-23 08:45:02,579 >> Adding <|notimestamps|> to the vocabulary -/home/xezpeleta/dev/whisper-medium-eu/./ is already a clone of https://huggingface.co/xezpeleta/whisper-medium-eu. Make sure you pull the latest changes with `repo.git_pull()`. -07/23/2023 08:45:04 - WARNING - huggingface_hub.repository - /home/xezpeleta/dev/whisper-medium-eu/./ is already a clone of https://huggingface.co/xezpeleta/whisper-medium-eu. Make sure you pull the latest changes with `repo.git_pull()`. -[INFO|trainer.py:511] 2023-07-23 08:45:07,044 >> max_steps is given, it will override any value given in num_train_epochs -[INFO|trainer.py:565] 2023-07-23 08:45:07,044 >> Using cuda_amp half precision backend -/home/xezpeleta/dev/hf_env/lib/python3.10/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning - warnings.warn( -[INFO|trainer.py:1641] 2023-07-23 08:45:07,056 >> ***** Running training ***** -[INFO|trainer.py:1642] 2023-07-23 08:45:07,057 >> Num examples = 28000 -[INFO|trainer.py:1643] 2023-07-23 08:45:07,057 >> Num Epochs = 9223372036854775807 -[INFO|trainer.py:1644] 2023-07-23 08:45:07,057 >> Instantaneous batch size per device = 4 -[INFO|trainer.py:1645] 2023-07-23 08:45:07,057 >> Total train batch size (w. parallel, distributed & accumulation) = 4 -[INFO|trainer.py:1646] 2023-07-23 08:45:07,057 >> Gradient Accumulation steps = 1 -[INFO|trainer.py:1647] 2023-07-23 08:45:07,057 >> Total optimization steps = 7000 -[INFO|trainer.py:1648] 2023-07-23 08:45:07,058 >> Number of trainable parameters = 763857920 - 0%| | 0/7000 [00:00> The following columns in the training set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 0%| | 1/7000 [00:43<84:44:55, 43.59s/it] 0%| | 2/7000 [00:44<36:00:49, 18.53s/it] 0%| | 3/7000 [00:45<20:35:35, 10.60s/it] 0%| | 4/7000 [00:46<13:20:37, 6.87s/it] 0%| | 5/7000 [00:47<9:16:17, 4.77s/it] 0%| | 6/7000 [00:48<6:49:01, 3.51s/it] 0%| | 7/7000 [00:50<5:15:24, 2.71s/it] 0%| | 8/7000 [00:51<4:13:39, 2.18s/it] 0%| | 9/7000 [00:52<3:32:40, 1.83s/it] 0%| | 10/7000 [00:53<3:05:32, 1.59s/it] 0%| | 11/7000 [00:54<2:49:23, 1.45s/it] 0%| | 12/7000 [00:55<2:35:04, 1.33s/it] 0%| | 13/7000 [00:56<2:26:29, 1.26s/it] 0%| | 14/7000 [00:57<2:19:47, 1.20s/it] 0%| | 15/7000 [00:58<2:16:56, 1.18s/it] 0%| | 16/7000 [00:59<2:12:43, 1.14s/it] 0%| | 17/7000 [01:00<2:09:57, 1.12s/it] 0%| | 18/7000 [01:01<2:08:16, 1.10s/it] 0%| | 19/7000 [01:02<2:06:48, 1.09s/it] 0%| | 20/7000 [01:04<2:06:18, 1.09s/it] 0%| | 21/7000 [01:05<2:05:34, 1.08s/it] 0%| | 22/7000 [01:06<2:05:17, 1.08s/it] 0%| | 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| 995/7000 [19:54<1:51:15, 1.11s/it] 14%|█▍ | 996/7000 [19:55<1:50:59, 1.11s/it] 14%|█▍ | 997/7000 [19:56<1:50:45, 1.11s/it] 14%|█▍ | 998/7000 [19:57<1:50:39, 1.11s/it] 14%|█▍ | 999/7000 [19:58<1:50:45, 1.11s/it] 14%|█▍ | 1000/7000 [19:59<1:50:54, 1.11s/it] 14%|█▍ | 1000/7000 [19:59<1:50:54, 1.11s/it][INFO|trainer.py:2955] 2023-07-23 09:05:06,808 >> ***** Running Evaluation ***** -[INFO|trainer.py:2959] 2023-07-23 09:05:06,808 >> Num examples: Unknown -[INFO|trainer.py:2960] 2023-07-23 09:05:06,808 >> Batch size = 8 -{'loss': 1.4182, 'learning_rate': 4.6000000000000004e-07, 'epoch': 0.0} -{'loss': 1.292, 'learning_rate': 9.400000000000001e-07, 'epoch': 0.01} -{'loss': 1.0018, 'learning_rate': 1.44e-06, 'epoch': 0.01} -{'loss': 0.7765, 'learning_rate': 1.94e-06, 'epoch': 0.01} -{'loss': 0.7103, 'learning_rate': 2.4400000000000004e-06, 'epoch': 0.02} -{'loss': 0.6597, 'learning_rate': 2.9400000000000002e-06, 'epoch': 0.02} -{'loss': 0.6657, 'learning_rate': 3.44e-06, 'epoch': 0.03} -{'loss': 0.5853, 'learning_rate': 3.94e-06, 'epoch': 0.03} -{'loss': 0.5273, 'learning_rate': 4.440000000000001e-06, 'epoch': 0.03} -{'loss': 0.5979, 'learning_rate': 4.94e-06, 'epoch': 0.04} -{'loss': 0.5861, 'learning_rate': 5.4400000000000004e-06, 'epoch': 0.04} -{'loss': 0.5085, 'learning_rate': 5.94e-06, 'epoch': 0.04} -{'loss': 0.4827, 'learning_rate': 6.440000000000001e-06, 'epoch': 0.05} -{'loss': 0.4909, 'learning_rate': 6.9400000000000005e-06, 'epoch': 0.05} -{'loss': 0.4651, 'learning_rate': 7.440000000000001e-06, 'epoch': 0.05} -{'loss': 0.494, 'learning_rate': 7.94e-06, 'epoch': 0.06} -{'loss': 0.4188, 'learning_rate': 8.44e-06, 'epoch': 0.06} -{'loss': 0.3849, 'learning_rate': 8.94e-06, 'epoch': 0.06} -{'loss': 0.4577, 'learning_rate': 9.440000000000001e-06, 'epoch': 0.07} -{'loss': 0.4415, 'learning_rate': 9.940000000000001e-06, 'epoch': 0.07} -{'loss': 0.4614, 'learning_rate': 9.966153846153847e-06, 'epoch': 0.07} -{'loss': 0.4283, 'learning_rate': 9.927692307692309e-06, 'epoch': 0.08} -{'loss': 0.4486, 'learning_rate': 9.88923076923077e-06, 'epoch': 0.08} -{'loss': 0.4434, 'learning_rate': 9.850769230769231e-06, 'epoch': 0.09} -{'loss': 0.4245, 'learning_rate': 9.812307692307694e-06, 'epoch': 0.09} -{'loss': 0.4254, 'learning_rate': 9.773846153846154e-06, 'epoch': 0.09} -{'loss': 0.4143, 'learning_rate': 9.735384615384616e-06, 'epoch': 0.1} -{'loss': 0.4115, 'learning_rate': 9.696923076923078e-06, 'epoch': 0.1} -{'loss': 0.3656, 'learning_rate': 9.658461538461539e-06, 'epoch': 0.1} -{'loss': 0.4004, 'learning_rate': 9.620000000000001e-06, 'epoch': 0.11} -{'loss': 0.388, 'learning_rate': 9.581538461538462e-06, 'epoch': 0.11} -{'loss': 0.3665, 'learning_rate': 9.543076923076924e-06, 'epoch': 0.11} -{'loss': 0.3777, 'learning_rate': 9.504615384615386e-06, 'epoch': 0.12} -{'loss': 0.4338, 'learning_rate': 9.466153846153846e-06, 'epoch': 0.12} -{'loss': 0.4017, 'learning_rate': 9.427692307692309e-06, 'epoch': 0.12} -{'loss': 0.3757, 'learning_rate': 9.38923076923077e-06, 'epoch': 0.13} -{'loss': 0.4084, 'learning_rate': 9.350769230769231e-06, 'epoch': 0.13} -{'loss': 0.3821, 'learning_rate': 9.312307692307693e-06, 'epoch': 0.14} -{'loss': 0.421, 'learning_rate': 9.273846153846154e-06, 'epoch': 0.14} -{'loss': 0.4203, 'learning_rate': 9.235384615384616e-06, 'epoch': 0.14} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 1.57it/s] Reading metadata...: 6591it [00:00, 10002.38it/s] -[INFO|trainer_utils.py:689] 2023-07-23 09:05:09,134 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 14%|█▍ | 1000/7000 [50:02<1:50:54, 1.11s/it][INFO|trainer.py:2700] 2023-07-23 09:35:09,386 >> Saving model checkpoint to ./checkpoint-1000 -[INFO|configuration_utils.py:447] 2023-07-23 09:35:09,386 >> Configuration saved in ./checkpoint-1000/config.json -[INFO|modeling_utils.py:1693] 2023-07-23 09:35:13,485 >> Model weights saved in ./checkpoint-1000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 09:35:13,495 >> Feature extractor saved in ./checkpoint-1000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-23 09:35:23,667 >> Feature extractor saved in ./preprocessor_config.json - 14%|█▍ | 1001/7000 [57:22<1122:15:10, 673.46s/it] 14%|█▍ | 1002/7000 [57:23<785:58:38, 471.74s/it] 14%|█▍ | 1003/7000 [57:24<550:37:21, 330.54s/it] 14%|█▍ | 1004/7000 [57:25<385:54:13, 231.70s/it] 14%|█▍ | 1005/7000 [57:26<270:37:09, 162.51s/it] 14%|█▍ 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'learning_rate': 9.004615384615386e-06, 'epoch': 0.16} -{'loss': 0.3295, 'learning_rate': 8.966153846153846e-06, 'epoch': 0.17} -{'loss': 0.3207, 'learning_rate': 8.927692307692308e-06, 'epoch': 0.17} -{'loss': 0.2817, 'learning_rate': 8.88923076923077e-06, 'epoch': 0.17} -{'loss': 0.3218, 'learning_rate': 8.850769230769231e-06, 'epoch': 0.18} -{'loss': 0.3502, 'learning_rate': 8.812307692307693e-06, 'epoch': 0.18} -{'loss': 0.3432, 'learning_rate': 8.773846153846155e-06, 'epoch': 0.19} -{'loss': 0.3244, 'learning_rate': 8.735384615384616e-06, 'epoch': 0.19} -{'loss': 0.2607, 'learning_rate': 8.696923076923078e-06, 'epoch': 0.19} -{'loss': 0.3469, 'learning_rate': 8.658461538461538e-06, 'epoch': 0.2} -{'loss': 0.2756, 'learning_rate': 8.62e-06, 'epoch': 0.2} -{'loss': 0.294, 'learning_rate': 8.581538461538463e-06, 'epoch': 0.2} -{'loss': 0.3915, 'learning_rate': 8.543076923076923e-06, 'epoch': 0.21} -{'loss': 0.3237, 'learning_rate': 8.504615384615385e-06, 'epoch': 0.21} -{'loss': 0.2723, 'learning_rate': 8.466153846153847e-06, 'epoch': 0.21} -{'loss': 0.2917, 'learning_rate': 8.427692307692308e-06, 'epoch': 0.22} -{'loss': 0.2921, 'learning_rate': 8.38923076923077e-06, 'epoch': 0.22} -{'loss': 0.3724, 'learning_rate': 8.35076923076923e-06, 'epoch': 0.23} -{'loss': 0.3364, 'learning_rate': 8.312307692307693e-06, 'epoch': 0.23} -{'loss': 0.3661, 'learning_rate': 8.273846153846155e-06, 'epoch': 0.23} -{'loss': 0.3307, 'learning_rate': 8.235384615384615e-06, 'epoch': 0.24} -{'loss': 0.3201, 'learning_rate': 8.196923076923078e-06, 'epoch': 0.24} -{'loss': 0.2973, 'learning_rate': 8.15846153846154e-06, 'epoch': 0.24} -{'loss': 0.3013, 'learning_rate': 8.120000000000002e-06, 'epoch': 0.25} -{'loss': 0.3349, 'learning_rate': 8.081538461538462e-06, 'epoch': 0.25} -{'loss': 0.3244, 'learning_rate': 8.043076923076923e-06, 'epoch': 0.25} -{'loss': 0.3331, 'learning_rate': 8.004615384615385e-06, 'epoch': 0.26} -{'loss': 0.2723, 'learning_rate': 7.966153846153847e-06, 'epoch': 0.26} -{'loss': 0.316, 'learning_rate': 7.927692307692308e-06, 'epoch': 0.26} -{'loss': 0.2648, 'learning_rate': 7.88923076923077e-06, 'epoch': 0.27} -{'loss': 0.2965, 'learning_rate': 7.850769230769232e-06, 'epoch': 0.27} -{'loss': 0.256, 'learning_rate': 7.812307692307694e-06, 'epoch': 0.28} -{'loss': 0.2156, 'learning_rate': 7.773846153846155e-06, 'epoch': 0.28} -{'loss': 0.2418, 'learning_rate': 7.735384615384615e-06, 'epoch': 0.28} -{'loss': 0.2693, 'learning_rate': 7.696923076923077e-06, 'epoch': 0.29} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.92it/s] Reading metadata...: 6591it [00:00, 18029.02it/s] -[INFO|trainer_utils.py:689] 2023-07-23 10:02:08,821 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 29%|██▊ | 2000/7000 [1:47:17<1:58:58, 1.43s/it][INFO|trainer.py:2700] 2023-07-23 10:32:24,762 >> Saving model checkpoint to ./checkpoint-2000 -[INFO|configuration_utils.py:447] 2023-07-23 10:32:24,762 >> Configuration saved in ./checkpoint-2000/config.json -[INFO|modeling_utils.py:1693] 2023-07-23 10:32:35,392 >> Model weights saved in ./checkpoint-2000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 10:32:35,405 >> Feature extractor saved in ./checkpoint-2000/preprocessor_config.json - 29%|██▊ | 2001/7000 [1:47:36<766:22:48, 551.90s/it] 29%|██▊ | 2002/7000 [1:47:37<536:48:35, 386.66s/it] 29%|██▊ | 2003/7000 [1:47:38<376:08:38, 270.99s/it] 29%|██▊ | 2004/7000 [1:47:39<263:41:52, 190.01s/it] 29%|██▊ | 2005/7000 [1:47:40<184:59:26, 133.33s/it] 29%|██▊ | 2006/7000 [1:47:41<129:55:05, 93.65s/it] 29%|██▊ | 2007/7000 [1:47:42<91:22:37, 65.88s/it] 29%|██▊ | 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6.698461538461539e-06, 'epoch': 0.38} -{'loss': 0.2138, 'learning_rate': 6.660000000000001e-06, 'epoch': 0.38} -{'loss': 0.2245, 'learning_rate': 6.621538461538463e-06, 'epoch': 0.39} -{'loss': 0.2137, 'learning_rate': 6.583076923076923e-06, 'epoch': 0.39} -{'loss': 0.2558, 'learning_rate': 6.5446153846153846e-06, 'epoch': 0.39} -{'loss': 0.1981, 'learning_rate': 6.506153846153847e-06, 'epoch': 0.4} -{'loss': 0.2327, 'learning_rate': 6.467692307692308e-06, 'epoch': 0.4} -{'loss': 0.219, 'learning_rate': 6.42923076923077e-06, 'epoch': 0.4} -{'loss': 0.226, 'learning_rate': 6.3907692307692315e-06, 'epoch': 0.41} -{'loss': 0.2192, 'learning_rate': 6.352307692307693e-06, 'epoch': 0.41} -{'loss': 0.2146, 'learning_rate': 6.313846153846155e-06, 'epoch': 0.41} -{'loss': 0.2058, 'learning_rate': 6.2753846153846155e-06, 'epoch': 0.42} -{'loss': 0.2369, 'learning_rate': 6.236923076923077e-06, 'epoch': 0.42} -{'loss': 0.2202, 'learning_rate': 6.198461538461539e-06, 'epoch': 0.42} -{'loss': 0.2228, 'learning_rate': 6.16e-06, 'epoch': 0.43} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.81it/s] Reading metadata...: 6591it [00:00, 17446.97it/s] -[INFO|trainer_utils.py:689] 2023-07-23 10:52:49,603 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 43%|████▎ | 3000/7000 [2:37:46<1:14:24, 1.12s/it][INFO|trainer.py:2700] 2023-07-23 11:22:53,229 >> Saving model checkpoint to ./checkpoint-3000 -[INFO|configuration_utils.py:447] 2023-07-23 11:22:53,230 >> Configuration saved in ./checkpoint-3000/config.json -[INFO|modeling_utils.py:1693] 2023-07-23 11:22:57,269 >> Model weights saved in ./checkpoint-3000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 11:22:57,281 >> Feature extractor saved in ./checkpoint-3000/preprocessor_config.json - 43%|████▎ | 3001/7000 [2:37:58<606:39:37, 546.13s/it] 43%|████▎ | 3002/7000 [2:37:59<424:57:44, 382.66s/it] 43%|████▎ | 3003/7000 [2:38:00<297:48:33, 268.23s/it] 43%|████▎ | 3004/7000 [2:38:01<208:47:23, 188.10s/it] 43%|████▎ | 3005/7000 [2:38:02<146:28:34, 131.99s/it] 43%|████▎ | 3006/7000 [2:38:03<102:52:03, 92.72s/it] 43%|████▎ | 3007/7000 [2:38:05<72:20:55, 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0.2029, 'learning_rate': 6.1215384615384625e-06, 'epoch': 0.43} -{'loss': 0.2085, 'learning_rate': 6.083076923076924e-06, 'epoch': 0.44} -{'loss': 0.196, 'learning_rate': 6.044615384615385e-06, 'epoch': 0.44} -{'loss': 0.1999, 'learning_rate': 6.006153846153847e-06, 'epoch': 0.44} -{'loss': 0.2076, 'learning_rate': 5.967692307692308e-06, 'epoch': 0.45} -{'loss': 0.1999, 'learning_rate': 5.929230769230769e-06, 'epoch': 0.45} -{'loss': 0.2361, 'learning_rate': 5.890769230769231e-06, 'epoch': 0.45} -{'loss': 0.2003, 'learning_rate': 5.8523076923076926e-06, 'epoch': 0.46} -{'loss': 0.249, 'learning_rate': 5.813846153846155e-06, 'epoch': 0.46} -{'loss': 0.2724, 'learning_rate': 5.775384615384616e-06, 'epoch': 0.46} -{'loss': 0.2001, 'learning_rate': 5.736923076923077e-06, 'epoch': 0.47} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.01it/s] Reading metadata...: 10918it [00:00, 20352.27it/s] - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 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4000/7000 [2:57:46<56:22, 1.13s/it] 57%|█████▋ | 4000/7000 [2:57:46<56:22, 1.13s/it][INFO|trainer.py:2955] 2023-07-23 11:42:53,940 >> ***** Running Evaluation ***** -[INFO|trainer.py:2959] 2023-07-23 11:42:53,940 >> Num examples: Unknown -[INFO|trainer.py:2960] 2023-07-23 11:42:53,940 >> Batch size = 8 -{'loss': 0.2355, 'learning_rate': 5.6984615384615395e-06, 'epoch': 1.0} -{'loss': 0.2297, 'learning_rate': 5.66e-06, 'epoch': 1.0} -{'loss': 0.2265, 'learning_rate': 5.621538461538461e-06, 'epoch': 1.01} -{'loss': 0.21, 'learning_rate': 5.5830769230769235e-06, 'epoch': 1.01} -{'loss': 0.1944, 'learning_rate': 5.544615384615385e-06, 'epoch': 1.01} -{'loss': 0.1844, 'learning_rate': 5.506153846153847e-06, 'epoch': 1.02} -{'loss': 0.1774, 'learning_rate': 5.467692307692308e-06, 'epoch': 1.02} -{'loss': 0.1688, 'learning_rate': 5.42923076923077e-06, 'epoch': 1.03} -{'loss': 0.1473, 'learning_rate': 5.390769230769232e-06, 'epoch': 1.03} -{'loss': 0.1743, 'learning_rate': 5.352307692307692e-06, 'epoch': 1.03} -{'loss': 0.1759, 'learning_rate': 5.313846153846154e-06, 'epoch': 1.04} -{'loss': 0.1507, 'learning_rate': 5.275384615384616e-06, 'epoch': 1.04} -{'loss': 0.1556, 'learning_rate': 5.236923076923077e-06, 'epoch': 1.04} -{'loss': 0.1545, 'learning_rate': 5.198461538461539e-06, 'epoch': 1.05} -{'loss': 0.1143, 'learning_rate': 5.1600000000000006e-06, 'epoch': 1.05} -{'loss': 0.1168, 'learning_rate': 5.121538461538462e-06, 'epoch': 1.05} -{'loss': 0.1095, 'learning_rate': 5.083076923076924e-06, 'epoch': 1.06} -{'loss': 0.1098, 'learning_rate': 5.044615384615385e-06, 'epoch': 1.06} -{'loss': 0.102, 'learning_rate': 5.006153846153846e-06, 'epoch': 1.06} -{'loss': 0.1263, 'learning_rate': 4.967692307692308e-06, 'epoch': 1.07} -{'loss': 0.093, 'learning_rate': 4.929230769230769e-06, 'epoch': 1.07} -{'loss': 0.1163, 'learning_rate': 4.8907692307692315e-06, 'epoch': 1.08} -{'loss': 0.1005, 'learning_rate': 4.852307692307693e-06, 'epoch': 1.08} -{'loss': 0.1036, 'learning_rate': 4.813846153846154e-06, 'epoch': 1.08} -{'loss': 0.1289, 'learning_rate': 4.7753846153846155e-06, 'epoch': 1.09} -{'loss': 0.1238, 'learning_rate': 4.736923076923078e-06, 'epoch': 1.09} -{'loss': 0.1218, 'learning_rate': 4.698461538461539e-06, 'epoch': 1.09} -{'loss': 0.1223, 'learning_rate': 4.66e-06, 'epoch': 1.1} -{'loss': 0.1002, 'learning_rate': 4.621538461538462e-06, 'epoch': 1.1} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.00it/s] Reading metadata...: 6591it [00:00, 12589.33it/s] -[INFO|trainer_utils.py:689] 2023-07-23 11:42:56,176 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 57%|█████▋ | 4000/7000 [3:28:06<56:22, 1.13s/it][INFO|trainer.py:2700] 2023-07-23 12:13:13,111 >> Saving model checkpoint to ./checkpoint-4000 -[INFO|configuration_utils.py:447] 2023-07-23 12:13:13,112 >> Configuration saved in ./checkpoint-4000/config.json -[INFO|modeling_utils.py:1693] 2023-07-23 12:13:17,204 >> Model weights saved in ./checkpoint-4000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 12:13:17,210 >> Feature extractor saved in ./checkpoint-4000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-23 12:13:28,119 >> Feature extractor saved in ./preprocessor_config.json - 57%|█████▋ | 4001/7000 [3:45:00<708:53:54, 850.96s/it] 57%|█████▋ | 4002/7000 [3:45:02<496:22:36, 596.05s/it] 57%|█████▋ | 4003/7000 [3:45:03<347:37:05, 417.56s/it] 57%|█████▋ | 4004/7000 [3:45:04<243:31:12, 292.61s/it] 57%|█████▋ | 4005/7000 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3.6230769230769236e-06, 'epoch': 1.19} -{'loss': 0.0839, 'learning_rate': 3.5846153846153845e-06, 'epoch': 1.2} -{'loss': 0.1029, 'learning_rate': 3.5461538461538463e-06, 'epoch': 1.2} -{'loss': 0.0806, 'learning_rate': 3.507692307692308e-06, 'epoch': 1.2} -{'loss': 0.0808, 'learning_rate': 3.4692307692307698e-06, 'epoch': 1.21} -{'loss': 0.0801, 'learning_rate': 3.4307692307692307e-06, 'epoch': 1.21} -{'loss': 0.0705, 'learning_rate': 3.3923076923076924e-06, 'epoch': 1.21} -{'loss': 0.0711, 'learning_rate': 3.353846153846154e-06, 'epoch': 1.22} -{'loss': 0.0721, 'learning_rate': 3.315384615384616e-06, 'epoch': 1.22} -{'loss': 0.0806, 'learning_rate': 3.276923076923077e-06, 'epoch': 1.23} -{'loss': 0.0816, 'learning_rate': 3.2384615384615385e-06, 'epoch': 1.23} -{'loss': 0.078, 'learning_rate': 3.2000000000000003e-06, 'epoch': 1.23} -{'loss': 0.0858, 'learning_rate': 3.161538461538462e-06, 'epoch': 1.24} -{'loss': 0.0948, 'learning_rate': 3.123076923076923e-06, 'epoch': 1.24} -{'loss': 0.0863, 'learning_rate': 3.0846153846153847e-06, 'epoch': 1.24} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.76it/s] Reading metadata...: 6591it [00:00, 17131.72it/s] -[INFO|trainer_utils.py:689] 2023-07-23 12:49:29,974 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 71%|███████▏ | 5000/7000 [4:35:26<37:03, 1.11s/it][INFO|trainer.py:2700] 2023-07-23 13:20:33,178 >> Saving model checkpoint to ./checkpoint-5000 -[INFO|configuration_utils.py:447] 2023-07-23 13:20:33,178 >> Configuration saved in ./checkpoint-5000/config.json -[INFO|modeling_utils.py:1693] 2023-07-23 13:20:40,382 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 13:20:40,395 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json - 71%|███████▏ | 5001/7000 [4:35:41<313:41:14, 564.92s/it] 71%|███████▏ | 5002/7000 [4:35:42<219:40:01, 395.80s/it] 71%|███████▏ | 5003/7000 [4:35:43<153:52:10, 277.38s/it] 71%|███████▏ | 5004/7000 [4:35:44<107:50:01, 194.49s/it] 72%|███████▏ | 5005/7000 [4:35:45<75:37:29, 136.47s/it] 72%|███████▏ | 5006/7000 [4:35:46<53:05:31, 95.85s/it] 72%|███████▏ | 5007/7000 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'epoch': 1.25} -{'loss': 0.0698, 'learning_rate': 2.969230769230769e-06, 'epoch': 1.25} -{'loss': 0.0794, 'learning_rate': 2.930769230769231e-06, 'epoch': 1.26} -{'loss': 0.0758, 'learning_rate': 2.8923076923076925e-06, 'epoch': 1.26} -{'loss': 0.0645, 'learning_rate': 2.8538461538461543e-06, 'epoch': 1.26} -{'loss': 0.071, 'learning_rate': 2.815384615384615e-06, 'epoch': 1.27} -{'loss': 0.0555, 'learning_rate': 2.776923076923077e-06, 'epoch': 1.27} -{'loss': 0.0727, 'learning_rate': 2.7384615384615387e-06, 'epoch': 1.28} -{'loss': 0.0714, 'learning_rate': 2.7000000000000004e-06, 'epoch': 1.28} -{'loss': 0.0631, 'learning_rate': 2.6615384615384613e-06, 'epoch': 1.28} -{'loss': 0.067, 'learning_rate': 2.623076923076923e-06, 'epoch': 1.29} -{'loss': 0.0519, 'learning_rate': 2.584615384615385e-06, 'epoch': 1.29} -{'loss': 0.0629, 'learning_rate': 2.5461538461538465e-06, 'epoch': 1.29} -{'loss': 0.0787, 'learning_rate': 2.507692307692308e-06, 'epoch': 1.3} -{'loss': 0.0524, 'learning_rate': 2.469230769230769e-06, 'epoch': 1.3} -{'loss': 0.0618, 'learning_rate': 2.430769230769231e-06, 'epoch': 1.3} -{'loss': 0.0693, 'learning_rate': 2.3923076923076922e-06, 'epoch': 1.31} -{'loss': 0.0658, 'learning_rate': 2.353846153846154e-06, 'epoch': 1.31} -{'loss': 0.0764, 'learning_rate': 2.3153846153846153e-06, 'epoch': 1.31} -{'loss': 0.0664, 'learning_rate': 2.276923076923077e-06, 'epoch': 1.32} -{'loss': 0.045, 'learning_rate': 2.2384615384615384e-06, 'epoch': 1.32} -{'loss': 0.065, 'learning_rate': 2.2e-06, 'epoch': 1.33} -{'loss': 0.0683, 'learning_rate': 2.1615384615384614e-06, 'epoch': 1.33} -{'loss': 0.0452, 'learning_rate': 2.123076923076923e-06, 'epoch': 1.33} -{'loss': 0.0574, 'learning_rate': 2.0846153846153845e-06, 'epoch': 1.34} -{'loss': 0.0629, 'learning_rate': 2.0461538461538462e-06, 'epoch': 1.34} -{'loss': 0.0622, 'learning_rate': 2.0076923076923076e-06, 'epoch': 1.34} -{'loss': 0.0717, 'learning_rate': 1.9692307692307693e-06, 'epoch': 1.35} -{'loss': 0.0792, 'learning_rate': 1.930769230769231e-06, 'epoch': 1.35} -{'loss': 0.078, 'learning_rate': 1.8923076923076924e-06, 'epoch': 1.35} -{'loss': 0.0534, 'learning_rate': 1.8538461538461541e-06, 'epoch': 1.36} -{'loss': 0.0583, 'learning_rate': 1.8153846153846154e-06, 'epoch': 1.36} -{'loss': 0.0493, 'learning_rate': 1.7769230769230772e-06, 'epoch': 1.36} -{'loss': 0.0566, 'learning_rate': 1.7384615384615385e-06, 'epoch': 1.37} -{'loss': 0.0478, 'learning_rate': 1.7000000000000002e-06, 'epoch': 1.37} -{'loss': 0.0477, 'learning_rate': 1.6615384615384616e-06, 'epoch': 1.38} -{'loss': 0.0889, 'learning_rate': 1.6230769230769233e-06, 'epoch': 1.38} -{'loss': 0.0553, 'learning_rate': 1.5846153846153846e-06, 'epoch': 1.38} -{'loss': 0.0636, 'learning_rate': 1.5461538461538464e-06, 'epoch': 1.39} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 2.66it/s] Reading metadata...: 6591it [00:00, 16513.03it/s] -[INFO|trainer_utils.py:689] 2023-07-23 13:40:30,291 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 86%|████████▌ | 6000/7000 [5:25:36<18:40, 1.12s/it][INFO|trainer.py:2700] 2023-07-23 14:10:43,495 >> Saving model checkpoint to ./checkpoint-6000 -[INFO|configuration_utils.py:447] 2023-07-23 14:10:43,496 >> Configuration saved in ./checkpoint-6000/config.json -[INFO|modeling_utils.py:1693] 2023-07-23 14:10:45,744 >> Model weights saved in ./checkpoint-6000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 14:10:45,750 >> Feature extractor saved in ./checkpoint-6000/preprocessor_config.json - 86%|████████▌ | 6001/7000 [5:25:45<152:02:36, 547.90s/it] 86%|████████▌ | 6002/7000 [5:25:46<106:25:25, 383.89s/it] 86%|████████▌ | 6003/7000 [5:25:47<74:30:42, 269.05s/it] 86%|████████▌ | 6004/7000 [5:25:48<52:11:45, 188.66s/it] 86%|████████▌ | 6005/7000 [5:25:49<36:35:24, 132.39s/it] 86%|█████��██▌ | 6006/7000 [5:25:50<25:40:55, 93.01s/it] 86%|████████▌ | 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2.01} -{'loss': 0.0452, 'learning_rate': 5.107692307692308e-07, 'epoch': 2.01} -{'loss': 0.0579, 'learning_rate': 4.723076923076923e-07, 'epoch': 2.02} -{'loss': 0.05, 'learning_rate': 4.3384615384615384e-07, 'epoch': 2.02} -{'loss': 0.0397, 'learning_rate': 3.9538461538461537e-07, 'epoch': 2.02} -{'loss': 0.0411, 'learning_rate': 3.569230769230769e-07, 'epoch': 2.03} -{'loss': 0.0379, 'learning_rate': 3.184615384615385e-07, 'epoch': 2.03} -{'loss': 0.04, 'learning_rate': 2.8e-07, 'epoch': 2.03} -{'loss': 0.0393, 'learning_rate': 2.4153846153846155e-07, 'epoch': 2.04} -{'loss': 0.0412, 'learning_rate': 2.0307692307692308e-07, 'epoch': 2.04} -{'loss': 0.0479, 'learning_rate': 1.6461538461538462e-07, 'epoch': 2.04} -{'loss': 0.0387, 'learning_rate': 1.2615384615384617e-07, 'epoch': 2.05} -{'loss': 0.0453, 'learning_rate': 8.769230769230769e-08, 'epoch': 2.05} -{'loss': 0.0255, 'learning_rate': 4.923076923076924e-08, 'epoch': 2.05} -{'loss': 0.0271, 'learning_rate': 1.076923076923077e-08, 'epoch': 2.06} - - Reading metadata...: 0it [00:00, ?it/s] - Reading metadata...: 1it [00:00, 3.33it/s] Reading metadata...: 6591it [00:00, 20383.95it/s] -[INFO|trainer_utils.py:689] 2023-07-23 14:30:43,859 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. - 100%|██████████| 7000/7000 [6:15:41<00:00, 1.31s/it][INFO|trainer.py:2700] 2023-07-23 15:00:49,055 >> Saving model checkpoint to ./checkpoint-7000 -[INFO|configuration_utils.py:447] 2023-07-23 15:00:49,055 >> Configuration saved in ./checkpoint-7000/config.json -[INFO|modeling_utils.py:1693] 2023-07-23 15:00:51,263 >> Model weights saved in ./checkpoint-7000/pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 15:00:51,269 >> Feature extractor saved in ./checkpoint-7000/preprocessor_config.json -[INFO|feature_extraction_utils.py:368] 2023-07-23 15:01:50,286 >> Feature extractor saved in ./preprocessor_config.json -[INFO|trainer.py:1892] 2023-07-23 15:08:57,908 >> - -Training completed. Do not forget to share your model on huggingface.co/models =) - - -[INFO|trainer.py:2016] 2023-07-23 15:08:57,908 >> Loading best model from ./checkpoint-7000 (score: 13.179958686054519). - 100%|██████████| 7000/7000 [6:23:54<00:00, 1.31s/it] 100%|██████████| 7000/7000 [6:23:54<00:00, 3.29s/it] -[INFO|trainer.py:2700] 2023-07-23 15:09:01,315 >> Saving model checkpoint to ./ -[INFO|configuration_utils.py:447] 2023-07-23 15:09:01,316 >> Configuration saved in ./config.json -[INFO|modeling_utils.py:1693] 2023-07-23 15:09:07,309 >> Model weights saved in ./pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 15:09:07,322 >> Feature extractor saved in ./preprocessor_config.json -[INFO|trainer.py:2700] 2023-07-23 15:09:07,322 >> Saving model checkpoint to ./ -[INFO|configuration_utils.py:447] 2023-07-23 15:09:07,323 >> Configuration saved in ./config.json -[INFO|modeling_utils.py:1693] 2023-07-23 15:09:11,406 >> Model weights saved in ./pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 15:09:11,416 >> Feature extractor saved in ./preprocessor_config.json -Several commits (2) will be pushed upstream. -{'eval_loss': 0.2200811207294464, 'eval_wer': 13.179958686054519, 'eval_runtime': 1807.6155, 'eval_samples_per_second': 3.646, 'eval_steps_per_second': 0.456, 'epoch': 2.06} -{'train_runtime': 23034.2525, 'train_samples_per_second': 1.216, 'train_steps_per_second': 0.304, 'train_loss': 0.208335678424154, 'epoch': 2.06} -07/23/2023 15:09:36 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream. -The progress bars may be unreliable. -07/23/2023 15:09:36 - WARNING - huggingface_hub.repository - The progress bars may be unreliable. - Upload file checkpoint-5000/optimizer.pt: 0%| | 1.00/5.69G [00:00 main - -07/23/2023 17:16:27 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-medium-eu - e50d5d9..dbef9e0 main -> main - - Upload file checkpoint-5000/optimizer.pt: 100%|██████████| 5.69G/5.69G [2:06:48<00:00, 891kB/s] Upload file checkpoint-5000/optimizer.pt: 100%|██████████| 5.69G/5.69G [2:06:48<00:00, 803kB/s] - - Upload file runs/Jul23_08-44-43_tknadmin-System-Product-Name/events.out.tfevents.1690094707.tknadmin-System-Product-Name.1702135.0: 100%|██████████| 49.6k/49.6k [2:06:48<00:00, 16.0MB/s] Upload file runs/Jul23_08-44-43_tknadmin-System-Product-Name/events.out.tfevents.1690094707.tknadmin-System-Product-Name.1702135.0: 100%|██████████| 49.6k/49.6k [2:06:48<00:00, 6.68B/s] - - - Upload file pytorch_model.bin: 100%|██████████| 2.85G/2.85G [2:06:48<00:00, 796kB/s] Upload file pytorch_model.bin: 100%|██████████| 2.85G/2.85G [2:06:48<00:00, 402kB/s] - - - - Upload file checkpoint-5000/pytorch_model.bin: 100%|██████████| 2.85G/2.85G [2:06:48<00:00, 793kB/s] Upload file checkpoint-5000/pytorch_model.bin: 100%|██████████| 2.85G/2.85G [2:06:48<00:00, 402kB/s] -To https://huggingface.co/xezpeleta/whisper-medium-eu - dbef9e0..dc6df58 main -> main - -07/23/2023 17:16:31 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-medium-eu - dbef9e0..dc6df58 main -> main - -***** train metrics ***** - epoch = 2.06 - train_loss = 0.2083 - train_runtime = 6:23:54.25 - train_samples_per_second = 1.216 - train_steps_per_second = 0.304 -07/23/2023 17:16:34 - INFO - __main__ - *** Evaluate *** -[INFO|trainer.py:2955] 2023-07-23 17:16:34,494 >> ***** Running Evaluation ***** -[INFO|trainer.py:2959] 2023-07-23 17:16:34,494 >> Num examples: Unknown -[INFO|trainer.py:2960] 2023-07-23 17:16:34,494 >> Batch size = 8 - Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 1.84it/s] Reading metadata...: 6591it [00:00, 11629.42it/s] -[INFO|trainer_utils.py:689] 2023-07-23 17:16:37,002 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. -[INFO|trainer.py:2700] 2023-07-23 17:46:20,894 >> Saving model checkpoint to ./ -[INFO|configuration_utils.py:447] 2023-07-23 17:46:20,894 >> Configuration saved in ./config.json -[INFO|modeling_utils.py:1693] 2023-07-23 17:46:25,011 >> Model weights saved in ./pytorch_model.bin -[INFO|feature_extraction_utils.py:368] 2023-07-23 17:46:25,021 >> Feature extractor saved in ./preprocessor_config.json -***** eval metrics ***** - epoch = 2.06 - eval_loss = 0.2201 - eval_runtime = 0:29:46.39 - eval_samples_per_second = 3.69 - eval_steps_per_second = 0.461 - eval_wer = 13.18 - Upload file runs/Jul23_08-44-43_tknadmin-System-Product-Name/events.out.tfevents.1690127180.tknadmin-System-Product-Name.1702135.2: 100%|██████████| 358/358 [00:00 main - -07/23/2023 17:46:43 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-medium-eu - dc6df58..b936762 main -> main - - Upload file runs/Jul23_08-44-43_tknadmin-System-Product-Name/events.out.tfevents.1690127180.tknadmin-System-Product-Name.1702135.2: 100%|██████████| 358/358 [00:01 main - -07/23/2023 17:46:47 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-medium-eu - b936762..11930a4 main -> main -