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output1000_atco2.txt
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output1000_atco2.txt
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Job OCID: ocid1.datasciencejob.oc1.eu-frankfurt-1.amaaaaaangencdya4hqzcdvduojwoxeara3tn6xazt7zpmbhxt6cqdi3kq2a
Job Run OCID: ocid1.datasciencejobrun.oc1.eu-frankfurt-1.amaaaaaangencdyaaatgfzs24ja4oiuhxoo7jzceehwmxtytnorhgvtcya7q
2023-09-09 07:33:33 - *****************************************
2023-09-09 07:33:33 - Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
2023-09-09 07:33:33 - *****************************************
2023-09-09 07:33:33 - WARNING:torch.distributed.run:
2023-09-09 07:33:33 - Fontconfig error: Cannot load default config file: No such file: (null)
2023-09-09 07:33:33 - Fontconfig error: Cannot load default config file: No such file: (null)
2023-09-09 07:33:37 - Token will not been saved to git credential helper. Pass `add_to_git_credential=True` if you want to set the git credential as well.
2023-09-09 07:33:37 - Token will not been saved to git credential helper. Pass `add_to_git_credential=True` if you want to set the git credential as well.
2023-09-09 07:33:37 - Token is valid (permission: write).
2023-09-09 07:33:37 - Login successful
2023-09-09 07:33:37 - Your token has been saved to /home/datascience/.cache/huggingface/token
2023-09-09 07:33:37 - Token is valid (permission: write).
2023-09-09 07:33:37 - Login successful
2023-09-09 07:33:37 - Your token has been saved to /home/datascience/.cache/huggingface/token
2023-09-09 07:33:38 - 09/09/2023 07:33:38 - WARNING - __main__ - Process rank: 1, device: cuda:1, n_gpu: 1distributed training: True, 16-bits training: True
2023-09-09 07:33:38 - adafactor=False,
2023-09-09 07:33:38 - _n_gpu=1,
2023-09-09 07:33:38 - 09/09/2023 07:33:38 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments(
2023-09-09 07:33:38 - 09/09/2023 07:33:38 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1distributed training: True, 16-bits training: True
2023-09-09 07:33:38 - adam_beta2=0.999,
2023-09-09 07:33:38 - adam_beta1=0.9,
2023-09-09 07:33:38 - data_seed=None,
2023-09-09 07:33:38 - bf16_full_eval=False,
2023-09-09 07:33:38 - bf16=False,
2023-09-09 07:33:38 - auto_find_batch_size=False,
2023-09-09 07:33:38 - adam_epsilon=1e-08,
2023-09-09 07:33:38 - ddp_bucket_cap_mb=None,
2023-09-09 07:33:38 - ddp_backend=None,
2023-09-09 07:33:38 - dataloader_pin_memory=True,
2023-09-09 07:33:38 - dataloader_num_workers=0,
2023-09-09 07:33:38 - dataloader_drop_last=False,
2023-09-09 07:33:38 - eval_accumulation_steps=None,
2023-09-09 07:33:38 - do_train=True,
2023-09-09 07:33:38 - do_predict=False,
2023-09-09 07:33:38 - do_eval=True,
2023-09-09 07:33:38 - disable_tqdm=False,
2023-09-09 07:33:38 - deepspeed=None,
2023-09-09 07:33:38 - debug=[],
2023-09-09 07:33:38 - ddp_timeout=1800,
2023-09-09 07:33:38 - ddp_find_unused_parameters=None,
2023-09-09 07:33:38 - fp16_full_eval=False,
2023-09-09 07:33:38 - fp16_backend=auto,
2023-09-09 07:33:38 - fp16=True,
2023-09-09 07:33:38 - evaluation_strategy=steps,
2023-09-09 07:33:38 - eval_steps=50,
2023-09-09 07:33:38 - eval_delay=0,
2023-09-09 07:33:38 - generation_config=None,
2023-09-09 07:33:38 - full_determinism=False,
2023-09-09 07:33:38 - fsdp_transformer_layer_cls_to_wrap=None,
2023-09-09 07:33:38 - fsdp_min_num_params=0,
2023-09-09 07:33:38 - fsdp_config={'fsdp_min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False},
2023-09-09 07:33:38 - fsdp=[],
2023-09-09 07:33:38 - fp16_opt_level=O1,
2023-09-09 07:33:38 - gradient_checkpointing=True,
2023-09-09 07:33:38 - gradient_accumulation_steps=8,
2023-09-09 07:33:38 - generation_num_beams=None,
2023-09-09 07:33:38 - generation_max_length=225,
2023-09-09 07:33:38 - hub_token=<HUB_TOKEN>,
2023-09-09 07:33:38 - hub_strategy=every_save,
2023-09-09 07:33:38 - hub_private_repo=False,
2023-09-09 07:33:38 - hub_model_id=None,
2023-09-09 07:33:38 - half_precision_backend=auto,
2023-09-09 07:33:38 - group_by_length=False,
2023-09-09 07:33:38 - greater_is_better=None,
2023-09-09 07:33:38 - log_level=passive,
2023-09-09 07:33:38 - local_rank=0,
2023-09-09 07:33:38 - load_best_model_at_end=False,
2023-09-09 07:33:38 - length_column_name=input_length,
2023-09-09 07:33:38 - learning_rate=1e-05,
2023-09-09 07:33:38 - label_smoothing_factor=0.0,
2023-09-09 07:33:38 - label_names=None,
2023-09-09 07:33:38 - jit_mode_eval=False,
2023-09-09 07:33:38 - include_inputs_for_metrics=False,
2023-09-09 07:33:38 - ignore_data_skip=False,
2023-09-09 07:33:38 - logging_strategy=steps,
2023-09-09 07:33:38 - logging_steps=25,
2023-09-09 07:33:38 - logging_nan_inf_filter=True,
2023-09-09 07:33:38 - logging_first_step=False,
2023-09-09 07:33:38 - logging_dir=/mnt/output/runs/Sep09_07-33-37_5979146c4fb9,
2023-09-09 07:33:38 - log_on_each_node=True,
2023-09-09 07:33:38 - log_level_replica=warning,
2023-09-09 07:33:38 - output_dir=/mnt/output,
2023-09-09 07:33:38 - optim_args=None,
2023-09-09 07:33:38 - optim=adamw_hf,
2023-09-09 07:33:38 - num_train_epochs=3.0,
2023-09-09 07:33:38 - no_cuda=False,
2023-09-09 07:33:38 - mp_parameters=,
2023-09-09 07:33:38 - metric_for_best_model=None,
2023-09-09 07:33:38 - max_steps=1000,
2023-09-09 07:33:38 - max_grad_norm=1.0,
2023-09-09 07:33:38 - lr_scheduler_type=linear,
2023-09-09 07:33:38 - push_to_hub_model_id=None,
2023-09-09 07:33:38 - push_to_hub=False,
2023-09-09 07:33:38 - prediction_loss_only=False,
2023-09-09 07:33:38 - predict_with_generate=True,
2023-09-09 07:33:38 - per_device_train_batch_size=2,
2023-09-09 07:33:38 - per_device_eval_batch_size=8,
2023-09-09 07:33:38 - past_index=-1,
2023-09-09 07:33:38 - overwrite_output_dir=True,
2023-09-09 07:33:38 - save_steps=50,
2023-09-09 07:33:38 - save_safetensors=False,
2023-09-09 07:33:38 - save_on_each_node=False,
2023-09-09 07:33:38 - run_name=/mnt/output,
2023-09-09 07:33:38 - resume_from_checkpoint=None,
2023-09-09 07:33:38 - report_to=['mlflow', 'tensorboard'],
2023-09-09 07:33:38 - remove_unused_columns=True,
2023-09-09 07:33:38 - ray_scope=last,
2023-09-09 07:33:38 - push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
2023-09-09 07:33:38 - push_to_hub_organization=None,
2023-09-09 07:33:38 - torch_compile=False,
2023-09-09 07:33:38 - tf32=None,
2023-09-09 07:33:38 - sortish_sampler=False,
2023-09-09 07:33:38 - skip_memory_metrics=True,
2023-09-09 07:33:38 - sharded_ddp=[],
2023-09-09 07:33:38 - seed=42,
2023-09-09 07:33:38 - save_total_limit=None,
2023-09-09 07:33:38 - save_strategy=steps,
2023-09-09 07:33:38 - use_ipex=False,
2023-09-09 07:33:38 - tpu_num_cores=None,
2023-09-09 07:33:38 - tpu_metrics_debug=False,
2023-09-09 07:33:38 - torchdynamo=None,
2023-09-09 07:33:38 - torch_compile_mode=None,
2023-09-09 07:33:38 - torch_compile_backend=None,
2023-09-09 07:33:38 - 09/09/2023 07:33:38 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments(
2023-09-09 07:33:38 - )
2023-09-09 07:33:38 - xpu_backend=None,
2023-09-09 07:33:38 - weight_decay=0.0,
2023-09-09 07:33:38 - warmup_steps=200,
2023-09-09 07:33:38 - warmup_ratio=0.0,
2023-09-09 07:33:38 - use_mps_device=False,
2023-09-09 07:33:38 - use_legacy_prediction_loop=False,
2023-09-09 07:33:38 - dataloader_drop_last=False,
2023-09-09 07:33:38 - data_seed=None,
2023-09-09 07:33:38 - bf16_full_eval=False,
2023-09-09 07:33:38 - bf16=False,
2023-09-09 07:33:38 - auto_find_batch_size=False,
2023-09-09 07:33:38 - adam_epsilon=1e-08,
2023-09-09 07:33:38 - adam_beta2=0.999,
2023-09-09 07:33:38 - adam_beta1=0.9,
2023-09-09 07:33:38 - adafactor=False,
2023-09-09 07:33:38 - _n_gpu=1,
2023-09-09 07:33:38 - deepspeed=None,
2023-09-09 07:33:38 - debug=[],
2023-09-09 07:33:38 - ddp_timeout=1800,
2023-09-09 07:33:38 - ddp_find_unused_parameters=None,
2023-09-09 07:33:38 - ddp_bucket_cap_mb=None,
2023-09-09 07:33:38 - ddp_backend=None,
2023-09-09 07:33:38 - dataloader_pin_memory=True,
2023-09-09 07:33:38 - dataloader_num_workers=0,
2023-09-09 07:33:38 - fp16_backend=auto,
2023-09-09 07:33:38 - fp16=True,
2023-09-09 07:33:38 - evaluation_strategy=steps,
2023-09-09 07:33:38 - eval_steps=50,
2023-09-09 07:33:38 - eval_delay=0,
2023-09-09 07:33:38 - eval_accumulation_steps=None,
2023-09-09 07:33:38 - do_train=True,
2023-09-09 07:33:38 - do_predict=False,
2023-09-09 07:33:38 - do_eval=True,
2023-09-09 07:33:38 - disable_tqdm=False,
2023-09-09 07:33:38 - full_determinism=False,
2023-09-09 07:33:38 - fsdp_transformer_layer_cls_to_wrap=None,
2023-09-09 07:33:38 - fsdp_min_num_params=0,
2023-09-09 07:33:38 - fsdp_config={'fsdp_min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False},
2023-09-09 07:33:38 - fsdp=[],
2023-09-09 07:33:38 - fp16_opt_level=O1,
2023-09-09 07:33:38 - fp16_full_eval=False,
2023-09-09 07:33:38 - hub_private_repo=False,
2023-09-09 07:33:38 - hub_model_id=None,
2023-09-09 07:33:38 - half_precision_backend=auto,
2023-09-09 07:33:38 - group_by_length=False,
2023-09-09 07:33:38 - greater_is_better=None,
2023-09-09 07:33:38 - gradient_checkpointing=True,
2023-09-09 07:33:38 - gradient_accumulation_steps=8,
2023-09-09 07:33:38 - generation_num_beams=None,
2023-09-09 07:33:38 - generation_max_length=225,
2023-09-09 07:33:38 - generation_config=None,
2023-09-09 07:33:38 - length_column_name=input_length,
2023-09-09 07:33:38 - learning_rate=1e-05,
2023-09-09 07:33:38 - label_smoothing_factor=0.0,
2023-09-09 07:33:38 - label_names=None,
2023-09-09 07:33:38 - jit_mode_eval=False,
2023-09-09 07:33:38 - include_inputs_for_metrics=False,
2023-09-09 07:33:38 - ignore_data_skip=False,
2023-09-09 07:33:38 - hub_token=<HUB_TOKEN>,
2023-09-09 07:33:38 - hub_strategy=every_save,
2023-09-09 07:33:38 - logging_first_step=False,
2023-09-09 07:33:38 - logging_dir=/mnt/output/runs/Sep09_07-33-37_5979146c4fb9,
2023-09-09 07:33:38 - log_on_each_node=True,
2023-09-09 07:33:38 - log_level_replica=warning,
2023-09-09 07:33:38 - log_level=passive,
2023-09-09 07:33:38 - local_rank=0,
2023-09-09 07:33:38 - load_best_model_at_end=False,
2023-09-09 07:33:38 - no_cuda=False,
2023-09-09 07:33:38 - mp_parameters=,
2023-09-09 07:33:38 - metric_for_best_model=None,
2023-09-09 07:33:38 - max_steps=1000,
2023-09-09 07:33:38 - max_grad_norm=1.0,
2023-09-09 07:33:38 - lr_scheduler_type=linear,
2023-09-09 07:33:38 - logging_strategy=steps,
2023-09-09 07:33:38 - logging_steps=25,
2023-09-09 07:33:38 - logging_nan_inf_filter=True,
2023-09-09 07:33:38 - per_device_eval_batch_size=8,
2023-09-09 07:33:38 - past_index=-1,
2023-09-09 07:33:38 - overwrite_output_dir=True,
2023-09-09 07:33:38 - output_dir=/mnt/output,
2023-09-09 07:33:38 - optim_args=None,
2023-09-09 07:33:38 - optim=adamw_hf,
2023-09-09 07:33:38 - num_train_epochs=3.0,
2023-09-09 07:33:38 - ray_scope=last,
2023-09-09 07:33:38 - push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
2023-09-09 07:33:38 - push_to_hub_organization=None,
2023-09-09 07:33:38 - push_to_hub_model_id=None,
2023-09-09 07:33:38 - push_to_hub=False,
2023-09-09 07:33:38 - prediction_loss_only=False,
2023-09-09 07:33:38 - predict_with_generate=True,
2023-09-09 07:33:38 - per_device_train_batch_size=2,
2023-09-09 07:33:38 - seed=42,
2023-09-09 07:33:38 - save_total_limit=None,
2023-09-09 07:33:38 - save_strategy=steps,
2023-09-09 07:33:38 - save_steps=50,
2023-09-09 07:33:38 - save_safetensors=False,
2023-09-09 07:33:38 - save_on_each_node=False,
2023-09-09 07:33:38 - run_name=/mnt/output,
2023-09-09 07:33:38 - resume_from_checkpoint=None,
2023-09-09 07:33:38 - report_to=['mlflow', 'tensorboard'],
2023-09-09 07:33:38 - remove_unused_columns=True,
2023-09-09 07:33:38 - torchdynamo=None,
2023-09-09 07:33:38 - torch_compile_mode=None,
2023-09-09 07:33:38 - torch_compile_backend=None,
2023-09-09 07:33:38 - torch_compile=False,
2023-09-09 07:33:38 - tf32=None,
2023-09-09 07:33:38 - sortish_sampler=False,
2023-09-09 07:33:38 - skip_memory_metrics=True,
2023-09-09 07:33:38 - sharded_ddp=[],
2023-09-09 07:33:38 - weight_decay=0.0,
2023-09-09 07:33:38 - warmup_steps=200,
2023-09-09 07:33:38 - warmup_ratio=0.0,
2023-09-09 07:33:38 - use_mps_device=False,
2023-09-09 07:33:38 - use_legacy_prediction_loop=False,
2023-09-09 07:33:38 - use_ipex=False,
2023-09-09 07:33:38 - tpu_num_cores=None,
2023-09-09 07:33:38 - tpu_metrics_debug=False,
2023-09-09 07:33:38 - )
2023-09-09 07:33:38 - xpu_backend=None,
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2023-09-09 07:33:45 - Dataset parquet downloaded and prepared to /home/datascience/.cache/huggingface/datasets/luigisaetta___parquet/luigisaetta--atco2-e21010af6311e730/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.
2023-09-09 07:33:45 - 09/09/2023 07:33:45 - WARNING - datasets.builder - Found cached dataset parquet (/home/datascience/.cache/huggingface/datasets/luigisaetta___parquet/luigisaetta--atco2-e21010af6311e730/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)
2023-09-09 07:33:46 - 09/09/2023 07:33:46 - WARNING - datasets.builder - Found cached dataset parquet (/home/datascience/.cache/huggingface/datasets/luigisaetta___parquet/luigisaetta--atco2-e21010af6311e730/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)
2023-09-09 07:33:46 - 09/09/2023 07:33:46 - WARNING - datasets.builder - Found cached dataset parquet (/home/datascience/.cache/huggingface/datasets/luigisaetta___parquet/luigisaetta--atco2-e21010af6311e730/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)
2023-09-09 07:33:46 - Generating train split: 0% 0/504 [00:00<?, ? examples/s]Generating train split: 100% 504/504 [00:00<00:00, 3253.56 examples/s] Generating test split: 0% 0/56 [00:00<?, ? examples/s] Downloading (…)lve/main/config.json: 0% 0.00/1.99k [00:00<?, ?B/s]Downloading (…)lve/main/config.json: 100% 1.99k/1.99k [00:00<00:00, 1.07MB/s]
2023-09-09 07:33:46 - [INFO|configuration_utils.py:669] 2023-09-09 07:33:46,872 >> loading configuration file config.json from cache at /home/datascience/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/18530d7c5ce1083f21426064b85fbd1e24bd1858/config.json
2023-09-09 07:33:46 - "activation_dropout": 0.0,
2023-09-09 07:33:46 - "_name_or_path": "openai/whisper-medium",
2023-09-09 07:33:46 - [INFO|configuration_utils.py:725] 2023-09-09 07:33:46,876 >> Model config WhisperConfig {
2023-09-09 07:33:46 - "architectures": [
2023-09-09 07:33:46 - "apply_spec_augment": false,
2023-09-09 07:33:46 - "activation_function": "gelu",
2023-09-09 07:33:46 - 50257
2023-09-09 07:33:46 - 220,
2023-09-09 07:33:46 - "begin_suppress_tokens": [
2023-09-09 07:33:46 - "attention_dropout": 0.0,
2023-09-09 07:33:46 - ],
2023-09-09 07:33:46 - "WhisperForConditionalGeneration"
2023-09-09 07:33:46 - "decoder_ffn_dim": 4096,
2023-09-09 07:33:46 - "decoder_attention_heads": 16,
2023-09-09 07:33:46 - "d_model": 1024,
2023-09-09 07:33:46 - "classifier_proj_size": 256,
2023-09-09 07:33:46 - "bos_token_id": 50257,
2023-09-09 07:33:46 - ],
2023-09-09 07:33:46 - "encoder_attention_heads": 16,
2023-09-09 07:33:46 - "dropout": 0.0,
2023-09-09 07:33:46 - "decoder_start_token_id": 50258,
2023-09-09 07:33:46 - "decoder_layers": 24,
2023-09-09 07:33:46 - "decoder_layerdrop": 0.0,
2023-09-09 07:33:46 - "forced_decoder_ids": [
2023-09-09 07:33:46 - "eos_token_id": 50257,
2023-09-09 07:33:46 - "encoder_layers": 24,
2023-09-09 07:33:46 - "encoder_layerdrop": 0.0,
2023-09-09 07:33:46 - "encoder_ffn_dim": 4096,
2023-09-09 07:33:46 - [
2023-09-09 07:33:46 - ],
2023-09-09 07:33:46 - 50259
2023-09-09 07:33:46 - 1,
2023-09-09 07:33:46 - [
2023-09-09 07:33:46 - ]
2023-09-09 07:33:46 - 50363
2023-09-09 07:33:46 - 3,
2023-09-09 07:33:46 - [
2023-09-09 07:33:46 - ],
2023-09-09 07:33:46 - 50359
2023-09-09 07:33:46 - 2,
2023-09-09 07:33:46 - "mask_feature_length": 10,
2023-09-09 07:33:46 - "is_encoder_decoder": true,
2023-09-09 07:33:46 - "init_std": 0.02,
2023-09-09 07:33:46 - ],
2023-09-09 07:33:46 - "max_source_positions": 1500,
2023-09-09 07:33:46 - "max_length": 448,
2023-09-09 07:33:46 - "mask_time_prob": 0.05,
2023-09-09 07:33:46 - "mask_time_min_masks": 2,
2023-09-09 07:33:46 - "mask_time_length": 10,
2023-09-09 07:33:46 - "mask_feature_prob": 0.0,
2023-09-09 07:33:46 - "mask_feature_min_masks": 0,
2023-09-09 07:33:46 - "pad_token_id": 50257,
2023-09-09 07:33:46 - "num_mel_bins": 80,
2023-09-09 07:33:46 - "num_hidden_layers": 24,
2023-09-09 07:33:46 - "model_type": "whisper",
2023-09-09 07:33:46 - "max_target_positions": 448,
2023-09-09 07:33:46 - 8,
2023-09-09 07:33:46 - 7,
2023-09-09 07:33:46 - 2,
2023-09-09 07:33:46 - 1,
2023-09-09 07:33:46 - "suppress_tokens": [
2023-09-09 07:33:46 - "scale_embedding": false,
2023-09-09 07:33:46 - 26,
2023-09-09 07:33:46 - 25,
2023-09-09 07:33:46 - 14,
2023-09-09 07:33:46 - 10,
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2023-09-09 07:33:46 - 6647,
2023-09-09 07:33:46 - 6585,
2023-09-09 07:33:46 - 4667,
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2023-09-09 07:33:46 - 12331,
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2023-09-09 07:33:46 - 14157,
2023-09-09 07:33:46 - 13793,
2023-09-09 07:33:46 - 12562,
2023-09-09 07:33:46 - 15618,
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2023-09-09 07:33:46 - 14635,
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2023-09-09 07:33:46 - 18956,
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2023-09-09 07:33:46 - 50359,
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2023-09-09 07:33:46 - 50258,
2023-09-09 07:33:46 - 50254,
2023-09-09 07:33:46 - 49870,
2023-09-09 07:33:46 - 47425,
2023-09-09 07:33:46 - 42863,
2023-09-09 07:33:46 - "torch_dtype": "float32",
2023-09-09 07:33:46 - ],
2023-09-09 07:33:46 - 50362
2023-09-09 07:33:46 - 50361,
2023-09-09 07:33:46 - 50360,
2023-09-09 07:33:46 - }
2023-09-09 07:33:46 - "vocab_size": 51865
2023-09-09 07:33:46 - "use_weighted_layer_sum": false,
2023-09-09 07:33:46 - "use_cache": true,
2023-09-09 07:33:46 - "transformers_version": "4.30.2",
2023-09-09 07:33:46 -
2023-09-09 07:33:47 - Downloading (…)rocessor_config.json: 0% 0.00/185k [00:00<?, ?B/s]Downloading (…)rocessor_config.json: 100% 185k/185k [00:00<00:00, 49.0MB/s]
2023-09-09 07:33:47 - [INFO|feature_extraction_utils.py:477] 2023-09-09 07:33:47,083 >> loading configuration file preprocessor_config.json from cache at /home/datascience/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/18530d7c5ce1083f21426064b85fbd1e24bd1858/preprocessor_config.json
2023-09-09 07:33:47 - "hop_length": 160,
2023-09-09 07:33:47 - "feature_size": 80,
2023-09-09 07:33:47 - "feature_extractor_type": "WhisperFeatureExtractor",
2023-09-09 07:33:47 - "chunk_length": 30,
2023-09-09 07:33:47 - [INFO|feature_extraction_utils.py:519] 2023-09-09 07:33:47,085 >> Feature extractor WhisperFeatureExtractor {
2023-09-09 07:33:47 - "processor_class": "WhisperProcessor",
2023-09-09 07:33:47 - "padding_value": 0.0,
2023-09-09 07:33:47 - "padding_side": "right",
2023-09-09 07:33:47 - "nb_max_frames": 3000,
2023-09-09 07:33:47 - "n_samples": 480000,
2023-09-09 07:33:47 - "n_fft": 400,
2023-09-09 07:33:47 -
2023-09-09 07:33:47 - }
2023-09-09 07:33:47 - "sampling_rate": 16000
2023-09-09 07:33:47 - "return_attention_mask": false,
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2023-09-09 07:33:49 - [INFO|tokenization_utils_base.py:1823] 2023-09-09 07:33:49,154 >> loading file tokenizer.json from cache at /home/datascience/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/18530d7c5ce1083f21426064b85fbd1e24bd1858/tokenizer.json
2023-09-09 07:33:49 - [INFO|tokenization_utils_base.py:1823] 2023-09-09 07:33:49,154 >> loading file vocab.json from cache at /home/datascience/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/18530d7c5ce1083f21426064b85fbd1e24bd1858/vocab.json
2023-09-09 07:33:49 - [INFO|tokenization_utils_base.py:1823] 2023-09-09 07:33:49,154 >> loading file tokenizer_config.json from cache at /home/datascience/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/18530d7c5ce1083f21426064b85fbd1e24bd1858/tokenizer_config.json
2023-09-09 07:33:49 - [INFO|tokenization_utils_base.py:1823] 2023-09-09 07:33:49,154 >> loading file special_tokens_map.json from cache at /home/datascience/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/18530d7c5ce1083f21426064b85fbd1e24bd1858/special_tokens_map.json
2023-09-09 07:33:49 - [INFO|tokenization_utils_base.py:1823] 2023-09-09 07:33:49,154 >> loading file added_tokens.json from cache at /home/datascience/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/18530d7c5ce1083f21426064b85fbd1e24bd1858/added_tokens.json
2023-09-09 07:33:49 - [INFO|tokenization_utils_base.py:1823] 2023-09-09 07:33:49,154 >> loading file normalizer.json from cache at /home/datascience/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/18530d7c5ce1083f21426064b85fbd1e24bd1858/normalizer.json
2023-09-09 07:33:49 - [INFO|tokenization_utils_base.py:1823] 2023-09-09 07:33:49,154 >> loading file merges.txt from cache at /home/datascience/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/18530d7c5ce1083f21426064b85fbd1e24bd1858/merges.txt
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2023-09-09 07:34:01 - [INFO|modeling_utils.py:2578] 2023-09-09 07:34:01,793 >> loading weights file model.safetensors from cache at /home/datascience/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/18530d7c5ce1083f21426064b85fbd1e24bd1858/model.safetensors
2023-09-09 07:34:01 - "begin_suppress_tokens": [
2023-09-09 07:34:01 - "_from_model_config": true,
2023-09-09 07:34:01 - [INFO|configuration_utils.py:577] 2023-09-09 07:34:01,924 >> Generate config GenerationConfig {
2023-09-09 07:34:01 - "decoder_start_token_id": 50258,
2023-09-09 07:34:01 - "bos_token_id": 50257,
2023-09-09 07:34:01 - ],
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2023-09-09 07:34:01 -
2023-09-09 07:34:01 - }
2023-09-09 07:34:01 - "transformers_version": "4.30.2"
2023-09-09 07:34:01 - "pad_token_id": 50257,
2023-09-09 07:34:01 - "max_length": 448,
2023-09-09 07:34:01 - "eos_token_id": 50257,
2023-09-09 07:34:08 - 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.
2023-09-09 07:34:08 - [INFO|modeling_utils.py:3303] 2023-09-09 07:34:08,718 >> All the weights of WhisperForConditionalGeneration were initialized from the model checkpoint at openai/whisper-medium.
2023-09-09 07:34:08 -
2023-09-09 07:34:08 - [INFO|modeling_utils.py:3295] 2023-09-09 07:34:08,718 >> All model checkpoint weights were used when initializing WhisperForConditionalGeneration.
2023-09-09 07:34:08 - Downloading (…)neration_config.json: 0% 0.00/3.69k [00:00<?, ?B/s]Downloading (…)neration_config.json: 100% 3.69k/3.69k [00:00<00:00, 1.90MB/s]
2023-09-09 07:34:08 - [INFO|configuration_utils.py:539] 2023-09-09 07:34:08,968 >> loading configuration file generation_config.json from cache at /home/datascience/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/18530d7c5ce1083f21426064b85fbd1e24bd1858/generation_config.json
2023-09-09 07:34:08 - ],
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2023-09-09 07:34:08 - 13,
2023-09-09 07:34:08 - [
2023-09-09 07:34:08 - "alignment_heads": [
2023-09-09 07:34:08 - [INFO|configuration_utils.py:577] 2023-09-09 07:34:08,968 >> Generate config GenerationConfig {
2023-09-09 07:34:08 - 15,
2023-09-09 07:34:08 - [
2023-09-09 07:34:08 - ],
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2023-09-09 07:34:09 - "transformers_version": "4.30.2"
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2023-09-09 07:34:09 - "translate": 50358
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2023-09-09 07:34:09 - ],
2023-09-09 07:34:32 - 09/09/2023 07:34:32 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/datascience/.cache/huggingface/datasets/luigisaetta___parquet/luigisaetta--atco2-e21010af6311e730/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-3a182f4deb3e65ad.arrow
2023-09-09 07:34:32 - 09/09/2023 07:34:32 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/datascience/.cache/huggingface/datasets/luigisaetta___parquet/luigisaetta--atco2-e21010af6311e730/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-06cd434167932e0d.arrow
2023-09-09 07:34:32 - 09/09/2023 07:34:32 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/datascience/.cache/huggingface/datasets/luigisaetta___parquet/luigisaetta--atco2-e21010af6311e730/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-75fbe15b5bdc29a8.arrow
2023-09-09 07:34:32 - 09/09/2023 07:34:32 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/datascience/.cache/huggingface/datasets/luigisaetta___parquet/luigisaetta--atco2-e21010af6311e730/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-1a198c78df00ed13.arrow
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2023-09-09 07:34:33 - [INFO|tokenization_utils_base.py:2201] 2023-09-09 07:34:33,422 >> Special tokens file saved in /mnt/output/special_tokens_map.json
2023-09-09 07:34:33 - [INFO|tokenization_utils_base.py:2194] 2023-09-09 07:34:33,422 >> tokenizer config file saved in /mnt/output/tokenizer_config.json
2023-09-09 07:34:33 - [INFO|feature_extraction_utils.py:377] 2023-09-09 07:34:33,421 >> Feature extractor saved in /mnt/output/preprocessor_config.json
2023-09-09 07:34:33 - Downloading builder script: 0% 0.00/4.49k [00:00<?, ?B/s]Downloading builder script: 100% 4.49k/4.49k [00:00<00:00, 4.30MB/s]
2023-09-09 07:34:33 - [INFO|configuration_utils.py:458] 2023-09-09 07:34:33,527 >> Configuration saved in /mnt/output/config.json
2023-09-09 07:34:33 - [INFO|image_processing_utils.py:307] 2023-09-09 07:34:33,543 >> loading configuration file /mnt/output/preprocessor_config.json
2023-09-09 07:34:33 - [INFO|feature_extraction_utils.py:475] 2023-09-09 07:34:33,550 >> loading configuration file /mnt/output/preprocessor_config.json
2023-09-09 07:34:33 - "hop_length": 160,
2023-09-09 07:34:33 - "feature_size": 80,
2023-09-09 07:34:33 - "feature_extractor_type": "WhisperFeatureExtractor",
2023-09-09 07:34:33 - "chunk_length": 30,
2023-09-09 07:34:33 - [INFO|feature_extraction_utils.py:519] 2023-09-09 07:34:33,550 >> Feature extractor WhisperFeatureExtractor {
2023-09-09 07:34:33 - "processor_class": "WhisperProcessor",
2023-09-09 07:34:33 - "padding_value": 0.0,
2023-09-09 07:34:33 - "padding_side": "right",
2023-09-09 07:34:33 - "nb_max_frames": 3000,
2023-09-09 07:34:33 - "n_samples": 480000,
2023-09-09 07:34:33 - "n_fft": 400,
2023-09-09 07:34:33 - [INFO|tokenization_utils_base.py:1821] 2023-09-09 07:34:33,551 >> loading file tokenizer_config.json
2023-09-09 07:34:33 - [INFO|tokenization_utils_base.py:1821] 2023-09-09 07:34:33,551 >> loading file special_tokens_map.json
2023-09-09 07:34:33 - [INFO|tokenization_utils_base.py:1821] 2023-09-09 07:34:33,551 >> loading file added_tokens.json
2023-09-09 07:34:33 - [INFO|tokenization_utils_base.py:1821] 2023-09-09 07:34:33,551 >> loading file normalizer.json
2023-09-09 07:34:33 - [INFO|tokenization_utils_base.py:1821] 2023-09-09 07:34:33,551 >> loading file merges.txt
2023-09-09 07:34:33 - [INFO|tokenization_utils_base.py:1821] 2023-09-09 07:34:33,551 >> loading file tokenizer.json
2023-09-09 07:34:33 - [INFO|tokenization_utils_base.py:1821] 2023-09-09 07:34:33,551 >> loading file vocab.json
2023-09-09 07:34:33 -
2023-09-09 07:34:33 - }
2023-09-09 07:34:33 - "sampling_rate": 16000
2023-09-09 07:34:33 - "return_attention_mask": false,
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|de|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|zh|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|en|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|startoftranscript|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|pt|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|ja|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|fr|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|ko|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|ru|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|es|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|it|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|sv|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|ar|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|nl|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|ca|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|pl|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,608 >> Adding <|tr|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|he|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|vi|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|fi|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|hi|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|id|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|ro|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|cs|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|ms|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|el|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|uk|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|ur|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|th|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|no|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|ta|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|hu|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|da|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|sk|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|cy|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|ml|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|mi|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|la|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|lt|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|bg|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|hr|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|sl|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|az|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|sr|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|bn|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|lv|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|fa|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,609 >> Adding <|te|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|eu|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|br|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|mk|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|et|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|kn|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|sw|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|sq|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|kk|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|bs|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|mn|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|ne|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|hy|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|is|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|yo|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|sn|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|km|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|si|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|pa|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|mr|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|gl|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|sd|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|tg|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|be|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|ka|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|oc|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|af|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,610 >> Adding <|so|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|ps|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|ht|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|fo|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|uz|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|lo|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|yi|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|am|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|gu|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|bo|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|my|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|lb|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|sa|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|mt|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|nn|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|tk|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,612 >> Adding <|ba|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,612 >> Adding <|ha|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,612 >> Adding <|ln|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|haw|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|tt|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|as|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|mg|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,611 >> Adding <|tl|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,612 >> Adding <|nocaptions|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,612 >> Adding <|startofprev|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,612 >> Adding <|startoflm|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,612 >> Adding <|transcribe|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,612 >> Adding <|translate|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,612 >> Adding <|su|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,612 >> Adding <|jw|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.06|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.04|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.02|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.00|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,612 >> Adding <|notimestamps|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.22|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.20|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.18|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.16|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.14|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.12|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.10|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.08|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.30|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.28|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.26|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,616 >> Adding <|0.24|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.44|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.42|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.40|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.38|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.36|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.34|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.32|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.60|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.58|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.56|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.54|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.52|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.50|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.48|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.46|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.74|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.72|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.70|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.68|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.66|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.64|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.62|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|0.84|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.82|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.80|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.78|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,617 >> Adding <|0.76|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.00|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|0.98|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|0.96|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|0.94|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|0.92|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|0.90|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|0.88|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|0.86|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.20|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.18|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.16|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.14|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.12|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.10|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.08|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.06|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.04|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.02|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.30|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.28|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.26|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.24|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,618 >> Adding <|1.22|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.44|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.42|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.40|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.38|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.36|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.34|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.32|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|1.86|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|1.84|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|1.82|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.80|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.78|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.76|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.74|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.72|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.70|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.68|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.66|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.64|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.62|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.60|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.58|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.56|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.54|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.52|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.50|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.48|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,619 >> Adding <|1.46|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|1.96|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|1.94|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|1.92|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|1.90|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|1.88|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|2.10|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|2.08|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|2.06|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|2.04|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|2.02|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|2.00|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|1.98|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|2.26|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|2.24|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|2.22|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|2.20|> to the vocabulary
2023-09-09 07:34:33 - [INFO|tokenization_utils.py:426] 2023-09-09 07:34:33,620 >> Adding <|2.18|> to the vocabulary