| Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher. | |
| 09/17/2024 17:17:16 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, 16-bits training: False | |
| 09/17/2024 17:17:16 - INFO - __main__ - Training/evaluation parameters DistillationTrainingArguments( | |
| _n_gpu=1, | |
| accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False}, | |
| adafactor=False, | |
| adam_beta1=0.9, | |
| adam_beta2=0.999, | |
| adam_epsilon=1e-08, | |
| auto_find_batch_size=False, | |
| batch_eval_metrics=False, | |
| bf16=False, | |
| bf16_full_eval=False, | |
| data_seed=None, | |
| dataloader_drop_last=False, | |
| dataloader_num_workers=8, | |
| dataloader_persistent_workers=False, | |
| dataloader_pin_memory=True, | |
| dataloader_prefetch_factor=None, | |
| ddp_backend=None, | |
| ddp_broadcast_buffers=None, | |
| ddp_bucket_cap_mb=None, | |
| ddp_find_unused_parameters=None, | |
| ddp_timeout=7200, | |
| debug=[], | |
| deepspeed=None, | |
| disable_tqdm=False, | |
| dispatch_batches=None, | |
| do_eval=True, | |
| do_predict=False, | |
| do_train=True, | |
| dtype=bfloat16, | |
| eval_accumulation_steps=None, | |
| eval_delay=0, | |
| eval_do_concat_batches=True, | |
| eval_on_start=False, | |
| eval_steps=1000.0, | |
| eval_strategy=no, | |
| eval_use_gather_object=False, | |
| evaluation_strategy=None, | |
| fp16=False, | |
| fp16_backend=auto, | |
| fp16_full_eval=False, | |
| fp16_opt_level=O1, | |
| freeze_encoder=True, | |
| fsdp=[], | |
| fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, | |
| fsdp_min_num_params=0, | |
| fsdp_transformer_layer_cls_to_wrap=None, | |
| full_determinism=False, | |
| generation_config=None, | |
| generation_max_length=None, | |
| generation_num_beams=None, | |
| gradient_accumulation_steps=1, | |
| gradient_checkpointing=True, | |
| gradient_checkpointing_kwargs=None, | |
| greater_is_better=None, | |
| group_by_length=False, | |
| half_precision_backend=auto, | |
| hub_always_push=False, | |
| hub_model_id=None, | |
| hub_private_repo=False, | |
| hub_strategy=every_save, | |
| hub_token=<HUB_TOKEN>, | |
| ignore_data_skip=False, | |
| include_inputs_for_metrics=False, | |
| include_num_input_tokens_seen=False, | |
| include_tokens_per_second=False, | |
| jit_mode_eval=False, | |
| kl_weight=1.0, | |
| label_names=None, | |
| label_smoothing_factor=0.0, | |
| learning_rate=0.0001, | |
| length_column_name=length, | |
| load_best_model_at_end=False, | |
| local_rank=0, | |
| log_level=passive, | |
| log_level_replica=warning, | |
| log_on_each_node=True, | |
| logging_dir=./runs/Sep17_17-17-13_22c57e4734ce, | |
| logging_first_step=False, | |
| logging_nan_inf_filter=True, | |
| logging_steps=25, | |
| logging_strategy=steps, | |
| lr_scheduler_kwargs={}, | |
| lr_scheduler_type=constant_with_warmup, | |
| max_grad_norm=1.0, | |
| max_steps=5000, | |
| metric_for_best_model=None, | |
| mp_parameters=, | |
| neftune_noise_alpha=None, | |
| no_cuda=False, | |
| num_train_epochs=3.0, | |
| optim=adamw_torch, | |
| optim_args=None, | |
| optim_target_modules=None, | |
| output_dir=./, | |
| overwrite_output_dir=True, | |
| past_index=-1, | |
| per_device_eval_batch_size=32, | |
| 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=<PUSH_TO_HUB_TOKEN>, | |
| ray_scope=last, | |
| remove_unused_columns=True, | |
| report_to=['tensorboard'], | |
| restore_callback_states_from_checkpoint=False, | |
| resume_from_checkpoint=None, | |
| run_name=./, | |
| save_on_each_node=False, | |
| save_only_model=False, | |
| save_safetensors=True, | |
| save_steps=1000, | |
| save_strategy=steps, | |
| save_total_limit=1, | |
| seed=42, | |
| skip_memory_metrics=True, | |
| sortish_sampler=False, | |
| split_batches=None, | |
| temperature=2.0, | |
| tf32=None, | |
| torch_compile=False, | |
| torch_compile_backend=None, | |
| torch_compile_mode=None, | |
| torch_empty_cache_steps=None, | |
| torchdynamo=None, | |
| tpu_metrics_debug=False, | |
| tpu_num_cores=None, | |
| use_cpu=False, | |
| use_ipex=False, | |
| use_legacy_prediction_loop=False, | |
| use_mps_device=False, | |
| warmup_ratio=0.0, | |
| warmup_steps=50, | |
| weight_decay=0.0, | |
| ) | |
| /root/anaconda/envs/distil-whisper/lib/python3.9/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'Repository' (from 'huggingface_hub.repository') is deprecated and will be removed from version '1.0'. Please prefer the http-based alternatives instead. Given its large adoption in legacy code, the complete removal is only planned on next major release. | |
| For more details, please read https://huggingface.co./docs/huggingface_hub/concepts/git_vs_http. | |
| warnings.warn(warning_message, FutureWarning) | |
| /root/distil-whisper-large-v3-ptbr/./ is already a clone of https://huggingface.co./freds0/distil-whisper-large-v3-ptbr. Make sure you pull the latest changes with `repo.git_pull()`. | |
| 09/17/2024 17:17:17 - WARNING - huggingface_hub.repository - /root/distil-whisper-large-v3-ptbr/./ is already a clone of https://huggingface.co./freds0/distil-whisper-large-v3-ptbr. Make sure you pull the latest changes with `repo.git_pull()`. | |
| Combining datasets...: 0%| | 0/2 [00:00<?, ?it/s] Combining datasets...: 0%| | 0/2 [00:04<?, ?it/s] | |
| Traceback (most recent call last): | |
| File "/root/distil-whisper-large-v3-ptbr/run_distillation.py", line 1632, in <module> | |
| main() | |
| File "/root/distil-whisper-large-v3-ptbr/run_distillation.py", line 799, in main | |
| raw_datasets["train"] = load_multiple_datasets( | |
| File "/root/distil-whisper-large-v3-ptbr/run_distillation.py", line 594, in load_multiple_datasets | |
| dataset = dataset.cast_column("audio", datasets.features.Audio(sampling_rate)) | |
| File "/root/anaconda/envs/distil-whisper/lib/python3.9/site-packages/datasets/fingerprint.py", line 442, in wrapper | |
| out = func(dataset, *args, **kwargs) | |
| File "/root/anaconda/envs/distil-whisper/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 2096, in cast_column | |
| dataset._data = dataset._data.cast(dataset.features.arrow_schema) | |
| File "/root/anaconda/envs/distil-whisper/lib/python3.9/site-packages/datasets/table.py", line 1577, in cast | |
| table = table_cast(self.table, target_schema, *args, **kwargs) | |
| File "/root/anaconda/envs/distil-whisper/lib/python3.9/site-packages/datasets/table.py", line 2283, in table_cast | |
| return cast_table_to_schema(table, schema) | |
| File "/root/anaconda/envs/distil-whisper/lib/python3.9/site-packages/datasets/table.py", line 2237, in cast_table_to_schema | |
| raise CastError( | |
| datasets.table.CastError: Couldn't cast | |
| filename: struct<bytes: binary, path: string> | |
| child 0, bytes: binary | |
| child 1, path: string | |
| duration: double | |
| transcript: string | |
| transcript_mms: string | |
| levenshtein: double | |
| client_id: int64 | |
| filesize: int64 | |
| num_words: int64 | |
| -- schema metadata -- | |
| huggingface: '{"info": {"features": {"filename": {"sampling_rate": 24000,' + 390 | |
| to | |
| {'filename': Audio(sampling_rate=24000, mono=True, decode=True, id=None), 'duration': Value(dtype='float64', id=None), 'transcript': Value(dtype='string', id=None), 'transcript_mms': Value(dtype='string', id=None), 'levenshtein': Value(dtype='float64', id=None), 'client_id': Value(dtype='int64', id=None), 'filesize': Value(dtype='int64', id=None), 'num_words': Value(dtype='int64', id=None), 'audio': Audio(sampling_rate=16000, mono=True, decode=True, id=None)} | |
| because column names don't match | |
| Traceback (most recent call last): | |
| File "/root/anaconda/envs/distil-whisper/bin/accelerate", line 8, in <module> | |
| sys.exit(main()) | |
| File "/root/anaconda/envs/distil-whisper/lib/python3.9/site-packages/accelerate/commands/accelerate_cli.py", line 48, in main | |
| args.func(args) | |
| File "/root/anaconda/envs/distil-whisper/lib/python3.9/site-packages/accelerate/commands/launch.py", line 1174, in launch_command | |
| simple_launcher(args) | |
| File "/root/anaconda/envs/distil-whisper/lib/python3.9/site-packages/accelerate/commands/launch.py", line 769, in simple_launcher | |
| raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd) | |
| subprocess.CalledProcessError: Command '['/root/anaconda/envs/distil-whisper/bin/python', 'run_distillation.py', '--model_name_or_path', './distil-large-v3-init', '--teacher_model_name_or_path', 'openai/whisper-large-v3', '--train_dataset_name', 'freds0/cml_tts_dataset_portuguese+freds0/cml_tts_dataset_portuguese', '--train_split_name', 'train+test', '--train_dataset_config_name', 'default+default', '--text_column_name', 'transcript+transcript', '--eval_dataset_name', 'freds0/cml_tts_dataset_portuguese', '--eval_text_column_name', 'transcript', '--eval_steps', '1000', '--save_steps', '1000', '--warmup_steps', '50', '--learning_rate', '0.0001', '--lr_scheduler_type', 'constant_with_warmup', '--timestamp_probability', '0.2', '--condition_on_prev_probability', '0.2', '--language', 'pl', '--task', 'transcribe', '--logging_steps', '25', '--save_total_limit', '1', '--max_steps', '5000', '--wer_threshold', '20', '--per_device_train_batch_size', '32', '--per_device_eval_batch_size', '32', '--dataloader_num_workers', '8', '--preprocessing_num_workers', '8', '--ddp_timeout', '7200', '--dtype', 'bfloat16', '--output_dir', './', '--do_train', '--do_eval', '--gradient_checkpointing', '--overwrite_output_dir', '--predict_with_generate', '--freeze_encoder', '--streaming', 'False', '--push_to_hub']' returned non-zero exit status 1. | |