05/10/2023 09:41:07 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 2distributed training: True, 16-bits training: True 05/10/2023 09:41:07 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( _n_gpu=2, 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_backend=None, 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_config={'fsdp_min_num_params': 0, 'xla': 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=225, generation_num_beams=None, gradient_accumulation_steps=2, 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=0, log_level=passive, log_level_replica=warning, log_on_each_node=True, logging_dir=./runs/May10_09-41-06_crimv3mgpu016, 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=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=, ray_scope=last, remove_unused_columns=True, report_to=['wandb'], resume_from_checkpoint=None, run_name=./, save_on_each_node=False, save_safetensors=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, ) 05/10/2023 09:41:07 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( _n_gpu=2, 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_backend=None, 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_config={'fsdp_min_num_params': 0, 'xla': 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=225, generation_num_beams=None, gradient_accumulation_steps=2, 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=0, log_level=passive, log_level_replica=warning, log_on_each_node=True, logging_dir=./runs/May10_09-41-06_crimv3mgpu016, 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=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=, ray_scope=last, remove_unused_columns=True, report_to=['wandb'], resume_from_checkpoint=None, run_name=./, save_on_each_node=False, save_safetensors=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, ) [INFO|configuration_utils.py:669] 2023-05-10 09:41:19,641 >> loading configuration file config.json from cache at /home/local/QCRI/dizham/.cache/huggingface/hub/models--openai--whisper-small/snapshots/f6744499d1eba717bcf4d6be735e3d386ffb60ad/config.json [INFO|configuration_utils.py:725] 2023-05-10 09:41:19,653 >> Model config WhisperConfig { "_name_or_path": "openai/whisper-small", "activation_dropout": 0.0, "activation_function": "gelu", "apply_spec_augment": false, "architectures": [ "WhisperForConditionalGeneration" ], "attention_dropout": 0.0, "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "classifier_proj_size": 256, "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, "mask_feature_length": 10, "mask_feature_min_masks": 0, "mask_feature_prob": 0.0, "mask_time_length": 10, "mask_time_min_masks": 2, "mask_time_prob": 0.05, "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, 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, 50360, 50361, 50362 ], "torch_dtype": "float32", "transformers_version": "4.29.0.dev0", "use_cache": true, "use_weighted_layer_sum": false, "vocab_size": 51865 } [INFO|feature_extraction_utils.py:469] 2023-05-10 09:41:19,843 >> loading configuration file preprocessor_config.json from cache at /home/local/QCRI/dizham/.cache/huggingface/hub/models--openai--whisper-small/snapshots/f6744499d1eba717bcf4d6be735e3d386ffb60ad/preprocessor_config.json [INFO|feature_extraction_utils.py:511] 2023-05-10 09:41:19,849 >> Feature extractor WhisperFeatureExtractor { "chunk_length": 30, "feature_extractor_type": "WhisperFeatureExtractor", "feature_size": 80, "hop_length": 160, "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:1810] 2023-05-10 09:41:20,054 >> loading file vocab.json from cache at /home/local/QCRI/dizham/.cache/huggingface/hub/models--openai--whisper-small/snapshots/f6744499d1eba717bcf4d6be735e3d386ffb60ad/vocab.json [INFO|tokenization_utils_base.py:1810] 2023-05-10 09:41:20,054 >> loading file tokenizer.json from cache at /home/local/QCRI/dizham/.cache/huggingface/hub/models--openai--whisper-small/snapshots/f6744499d1eba717bcf4d6be735e3d386ffb60ad/tokenizer.json [INFO|tokenization_utils_base.py:1810] 2023-05-10 09:41:20,054 >> loading file merges.txt from cache at /home/local/QCRI/dizham/.cache/huggingface/hub/models--openai--whisper-small/snapshots/f6744499d1eba717bcf4d6be735e3d386ffb60ad/merges.txt [INFO|tokenization_utils_base.py:1810] 2023-05-10 09:41:20,054 >> loading file normalizer.json from cache at /home/local/QCRI/dizham/.cache/huggingface/hub/models--openai--whisper-small/snapshots/f6744499d1eba717bcf4d6be735e3d386ffb60ad/normalizer.json [INFO|tokenization_utils_base.py:1810] 2023-05-10 09:41:20,054 >> loading file added_tokens.json from cache at /home/local/QCRI/dizham/.cache/huggingface/hub/models--openai--whisper-small/snapshots/f6744499d1eba717bcf4d6be735e3d386ffb60ad/added_tokens.json [INFO|tokenization_utils_base.py:1810] 2023-05-10 09:41:20,054 >> loading file special_tokens_map.json from cache at /home/local/QCRI/dizham/.cache/huggingface/hub/models--openai--whisper-small/snapshots/f6744499d1eba717bcf4d6be735e3d386ffb60ad/special_tokens_map.json [INFO|tokenization_utils_base.py:1810] 2023-05-10 09:41:20,054 >> loading file tokenizer_config.json from cache at /home/local/QCRI/dizham/.cache/huggingface/hub/models--openai--whisper-small/snapshots/f6744499d1eba717bcf4d6be735e3d386ffb60ad/tokenizer_config.json [INFO|modeling_utils.py:2542] 2023-05-10 09:41:20,144 >> loading weights file pytorch_model.bin from cache at /home/local/QCRI/dizham/.cache/huggingface/hub/models--openai--whisper-small/snapshots/f6744499d1eba717bcf4d6be735e3d386ffb60ad/pytorch_model.bin [INFO|configuration_utils.py:577] 2023-05-10 09:41:20,754 >> Generate config GenerationConfig { "_from_model_config": true, "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": "4.29.0.dev0", "use_cache": false } [INFO|modeling_utils.py:3211] 2023-05-10 09:41:23,296 >> All model checkpoint weights were used when initializing WhisperForConditionalGeneration. [INFO|modeling_utils.py:3219] 2023-05-10 09:41:23,296 >> 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. [INFO|configuration_utils.py:539] 2023-05-10 09:41:23,501 >> loading configuration file generation_config.json from cache at /home/local/QCRI/dizham/.cache/huggingface/hub/models--openai--whisper-small/snapshots/f6744499d1eba717bcf4d6be735e3d386ffb60ad/generation_config.json [INFO|configuration_utils.py:577] 2023-05-10 09:41:23,502 >> 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 ] ], "is_multilingual": true, "lang_to_id": { "<|af|>": 50327, "<|am|>": 50334, "<|ar|>": 50272, "<|as|>": 50350, "<|az|>": 50304, "<|ba|>": 50355, "<|be|>": 50330, "<|bg|>": 50292, "<|bn|>": 50302, "<|bo|>": 50347, "<|br|>": 50309, "<|bs|>": 50315, "<|ca|>": 50270, "<|cs|>": 50283, "<|cy|>": 50297, "<|da|>": 50285, "<|de|>": 50261, "<|el|>": 50281, "<|en|>": 50259, "<|es|>": 50262, "<|et|>": 50307, "<|eu|>": 50310, "<|fa|>": 50300, "<|fi|>": 50277, "<|fo|>": 50338, "<|fr|>": 50265, "<|gl|>": 50319, "<|gu|>": 50333, "<|haw|>": 50352, "<|ha|>": 50354, "<|he|>": 50279, "<|hi|>": 50276, "<|hr|>": 50291, "<|ht|>": 50339, "<|hu|>": 50286, "<|hy|>": 50312, "<|id|>": 50275, "<|is|>": 50311, "<|it|>": 50274, "<|ja|>": 50266, "<|jw|>": 50356, "<|ka|>": 50329, "<|kk|>": 50316, "<|km|>": 50323, "<|kn|>": 50306, "<|ko|>": 50264, "<|la|>": 50294, "<|lb|>": 50345, "<|ln|>": 50353, "<|lo|>": 50336, "<|lt|>": 50293, "<|lv|>": 50301, "<|mg|>": 50349, "<|mi|>": 50295, "<|mk|>": 50308, "<|ml|>": 50296, "<|mn|>": 50314, "<|mr|>": 50320, "<|ms|>": 50282, "<|mt|>": 50343, "<|my|>": 50346, "<|ne|>": 50313, "<|nl|>": 50271, "<|nn|>": 50342, "<|no|>": 50288, "<|oc|>": 50328, "<|pa|>": 50321, "<|pl|>": 50269, "<|ps|>": 50340, "<|pt|>": 50267, "<|ro|>": 50284, "<|ru|>": 50263, "<|sa|>": 50344, "<|sd|>": 50332, "<|si|>": 50322, "<|sk|>": 50298, "<|sl|>": 50305, "<|sn|>": 50324, "<|so|>": 50326, "<|sq|>": 50317, "<|sr|>": 50303, "<|su|>": 50357, "<|sv|>": 50273, "<|sw|>": 50318, "<|ta|>": 50287, "<|te|>": 50299, "<|tg|>": 50331, "<|th|>": 50289, "<|tk|>": 50341, "<|tl|>": 50348, "<|tr|>": 50268, "<|tt|>": 50351, "<|uk|>": 50280, "<|ur|>": 50290, "<|uz|>": 50337, "<|vi|>": 50278, "<|yi|>": 50335, "<|yo|>": 50325, "<|zh|>": 50260 }, "max_initial_timestamp_index": 1, "max_length": 448, "no_timestamps_token_id": 50363, "pad_token_id": 50257, "return_timestamps": 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 ], "task_to_id": { "transcribe": 50359, "translate": 50358 }, "transformers_version": "4.29.0.dev0" } [INFO|feature_extraction_utils.py:369] 2023-05-10 09:41:24,661 >> Feature extractor saved in ./preprocessor_config.json [INFO|tokenization_utils_base.py:2181] 2023-05-10 09:41:24,666 >> tokenizer config file saved in ./tokenizer_config.json [INFO|tokenization_utils_base.py:2188] 2023-05-10 09:41:24,671 >> Special tokens file saved in ./special_tokens_map.json [INFO|configuration_utils.py:458] 2023-05-10 09:41:24,826 >> Configuration saved in ./config.json [INFO|image_processing_utils.py:307] 2023-05-10 09:41:24,827 >> loading configuration file ./preprocessor_config.json [INFO|feature_extraction_utils.py:467] 2023-05-10 09:41:24,834 >> loading configuration file ./preprocessor_config.json [INFO|feature_extraction_utils.py:511] 2023-05-10 09:41:24,835 >> Feature extractor WhisperFeatureExtractor { "chunk_length": 30, "feature_extractor_type": "WhisperFeatureExtractor", "feature_size": 80, "hop_length": 160, "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:1808] 2023-05-10 09:41:24,836 >> loading file vocab.json [INFO|tokenization_utils_base.py:1808] 2023-05-10 09:41:24,836 >> loading file tokenizer.json [INFO|tokenization_utils_base.py:1808] 2023-05-10 09:41:24,836 >> loading file merges.txt [INFO|tokenization_utils_base.py:1808] 2023-05-10 09:41:24,836 >> loading file normalizer.json [INFO|tokenization_utils_base.py:1808] 2023-05-10 09:41:24,836 >> loading file added_tokens.json [INFO|tokenization_utils_base.py:1808] 2023-05-10 09:41:24,836 >> loading file special_tokens_map.json [INFO|tokenization_utils_base.py:1808] 2023-05-10 09:41:24,836 >> loading file tokenizer_config.json [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|startoftranscript|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|en|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|zh|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|de|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|es|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|ru|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|ko|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|fr|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|ja|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|pt|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|tr|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|pl|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|ca|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|nl|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|ar|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|sv|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|it|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|id|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|hi|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|fi|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|vi|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|he|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|uk|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|el|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|ms|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|cs|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|ro|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|da|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|hu|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|ta|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|no|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,898 >> Adding <|th|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|ur|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|hr|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|bg|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|lt|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|la|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|mi|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|ml|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|cy|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|sk|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|te|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|fa|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|lv|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|bn|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|sr|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|az|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|sl|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|kn|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|et|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|mk|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|br|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|eu|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|is|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|hy|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|ne|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|mn|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|bs|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|kk|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|sq|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|sw|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|gl|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|mr|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|pa|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|si|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|km|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|sn|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|yo|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|so|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|af|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|oc|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|ka|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|be|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,899 >> Adding <|tg|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|sd|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|gu|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|am|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|yi|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|lo|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|uz|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|fo|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|ht|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|ps|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|tk|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|nn|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|mt|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|sa|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|lb|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|my|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|bo|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|tl|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|mg|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|as|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|tt|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|haw|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|ln|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|ha|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|ba|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|jw|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|su|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|translate|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|transcribe|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|startoflm|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|startofprev|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|nocaptions|> to the vocabulary [INFO|tokenization_utils.py:426] 2023-05-10 09:41:24,900 >> Adding <|notimestamps|> to the vocabulary /home/local/QCRI/dizham/kanari/whisper/whisper-small-es/./ is already a clone of https://huggingface.co/danielizham/whisper-small-es. Make sure you pull the latest changes with `repo.git_pull()`. 05/10/2023 09:41:27 - WARNING - huggingface_hub.repository - /home/local/QCRI/dizham/kanari/whisper/whisper-small-es/./ is already a clone of https://huggingface.co/danielizham/whisper-small-es. Make sure you pull the latest changes with `repo.git_pull()`. [INFO|trainer.py:565] 2023-05-10 09:41:30,128 >> max_steps is given, it will override any value given in num_train_epochs [INFO|trainer.py:622] 2023-05-10 09:41:30,129 >> Using cuda_amp half precision backend /home/local/QCRI/dizham/miniconda3/envs/whisper/lib/python3.9/site-packages/transformers/optimization.py:407: 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:1771] 2023-05-10 09:41:30,142 >> ***** Running training ***** [INFO|trainer.py:1772] 2023-05-10 09:41:30,142 >> Num examples = 640,000 [INFO|trainer.py:1773] 2023-05-10 09:41:30,142 >> Num Epochs = 9,223,372,036,854,775,807 [INFO|trainer.py:1774] 2023-05-10 09:41:30,142 >> Instantaneous batch size per device = 32 [INFO|trainer.py:1775] 2023-05-10 09:41:30,142 >> Total train batch size (w. parallel, distributed & accumulation) = 128 [INFO|trainer.py:1776] 2023-05-10 09:41:30,142 >> Gradient Accumulation steps = 2 [INFO|trainer.py:1777] 2023-05-10 09:41:30,142 >> Total optimization steps = 5,000 [INFO|trainer.py:1778] 2023-05-10 09:41:30,143 >> Number of trainable parameters = 241,734,912 [INFO|integrations.py:720] 2023-05-10 09:41:30,144 >> Automatic Weights & Biases logging enabled, to disable set os.environ["WANDB_DISABLED"] = "true" wandb: Currently logged in as: danielizham. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.15.2 wandb: Run data is saved locally in /home/local/QCRI/dizham/kanari/whisper/whisper-small-es/wandb/run-20230510_094132-lvsln7ks wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run astral-silence-4 wandb: ⭐️ View project at https://wandb.ai/danielizham/huggingface wandb: 🚀 View run at https://wandb.ai/danielizham/huggingface/runs/lvsln7ks 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. /home/local/QCRI/dizham/miniconda3/envs/whisper/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector. warnings.warn('Was asked to gather along dimension 0, but all ' 0%| | 1/5000 [02:24<200:03:10, 144.07s/it] 0%| | 2/5000 [02:54<107:22:57, 77.35s/it] 0%| | 3/5000 [03:22<76:05:16, 54.82s/it] 0%| | 4/5000 [03:52<62:10:56, 44.81s/it] 0%| | 5/5000 [04:19<53:36:03, 38.63s/it] 0%| | 6/5000 [04:49<49:12:44, 35.48s/it] 0%| | 7/5000 [05:16<45:26:55, 32.77s/it] 0%| | 8/5000 [05:45<43:41:35, 31.51s/it] 0%| | 9/5000 [06:12<41:42:07, 30.08s/it] 0%| | 10/5000 [06:41<41:26:32, 29.90s/it] 0%| | 11/5000 [07:08<40:12:15, 29.01s/it] 0%| | 12/5000 [07:39<40:55:33, 29.54s/it] 0%| | 13/5000 [08:09<41:07:16, 29.68s/it] 0%| | 14/5000 [08:36<40:00:34, 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{'loss': 0.2282, 'learning_rate': 3.48e-06, 'epoch': 0.04} {'loss': 0.2209, 'learning_rate': 3.980000000000001e-06, 'epoch': 0.04} {'loss': 0.2299, 'learning_rate': 4.48e-06, 'epoch': 0.04} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 1.28it/s] Reading metadata...: 14726it [00:00, 22755.29it/s] Reading metadata...: 23388it [00:03, 6340.58it/s]  Reading metadata...: 37933it [00:03, 12680.17it/s] Reading metadata...: 46618it [00:06, 6782.81it/s]  Reading metadata...: 59039it [00:06, 9618.95it/s] Reading metadata...: 72546it [00:06, 14763.51it/s] Reading metadata...: 80136it [00:06, 16119.07it/s] Reading metadata...: 93827it [00:07, 24044.83it/s] Reading metadata...: 102171it [00:15, 3763.63it/s] Reading metadata...: 114047it [00:15, 5268.91it/s] Reading metadata...: 127993it [00:15, 8041.86it/s] Reading metadata...: 135601it [00:15, 9277.73it/s] Reading metadata...: 149664it [00:23, 3971.36it/s] Reading metadata...: 164498it [00:23, 6070.15it/s] Reading metadata...: 171902it [00:23, 6887.15it/s] Reading metadata...: 184380it [00:24, 9253.56it/s] Reading metadata...: 199395it [00:24, 13975.77it/s] Reading metadata...: 207317it [00:24, 15201.63it/s] Reading metadata...: 221296it [00:24, 22089.09it/s] Reading metadata...: 229844it [00:24, 23238.20it/s] Reading metadata...: 230467it [00:24, 9256.50it/s] Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 3.85it/s] Reading metadata...: 15233it [00:00, 54060.21it/s] Reading metadata...: 15520it [00:00, 42867.71it/s] 5%|▍ | 243/5000 [2:00:45<64:12:40, 48.59s/it] 5%|▍ | 244/5000 [2:01:12<55:50:19, 42.27s/it] 5%|▍ | 245/5000 [2:01:42<50:47:40, 38.46s/it] 5%|▍ | 246/5000 [2:02:09<46:29:44, 35.21s/it] 5%|▍ | 247/5000 [2:02:40<44:32:06, 33.73s/it] 5%|▍ | 248/5000 [2:03:07<41:58:11, 31.80s/it] 5%|▍ | 249/5000 [2:03:35<40:37:24, 30.78s/it] 5%|▌ | 250/5000 [2:04:05<40:04:27, 30.37s/it] 5%|▌ | 250/5000 [2:04:05<40:04:27, 30.37s/it] 5%|▌ | 251/5000 [2:04:33<39:02:30, 29.60s/it] 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[3:55:29<35:57:52, 28.65s/it] 10%|▉ | 482/5000 [3:55:41<29:43:37, 23.69s/it] 10%|▉ | 483/5000 [3:55:52<24:44:48, 19.72s/it] 10%|▉ | 484/5000 [3:56:02<21:16:03, 16.95s/it] 10%|▉ | 485/5000 [3:56:13<18:50:40, 15.03s/it]{'loss': 0.2867, 'learning_rate': 4.980000000000001e-06, 'epoch': 1.0} {'loss': 0.3646, 'learning_rate': 5.480000000000001e-06, 'epoch': 1.01} {'loss': 0.3278, 'learning_rate': 5.98e-06, 'epoch': 1.01} {'loss': 0.3748, 'learning_rate': 6.480000000000001e-06, 'epoch': 1.02} {'loss': 0.2737, 'learning_rate': 6.98e-06, 'epoch': 1.02} {'loss': 0.2653, 'learning_rate': 7.48e-06, 'epoch': 1.03} {'loss': 0.2596, 'learning_rate': 7.980000000000002e-06, 'epoch': 1.03} {'loss': 0.2665, 'learning_rate': 8.48e-06, 'epoch': 1.04} {'loss': 0.2598, 'learning_rate': 8.98e-06, 'epoch': 1.04} {'loss': 0.242, 'learning_rate': 9.48e-06, 'epoch': 1.05} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:01, 1.04s/it] Reading metadata...: 15751it [00:01, 19095.71it/s] Reading metadata...: 25016it [00:01, 16623.79it/s] Reading metadata...: 40082it [00:01, 30667.68it/s] Reading metadata...: 49475it [00:02, 29075.84it/s] Reading metadata...: 59039it [00:02, 27352.30it/s] Reading metadata...: 73815it [00:02, 41033.71it/s] Reading metadata...: 82286it [00:05, 11264.53it/s] Reading metadata...: 96058it [00:13, 3486.35it/s]  Reading metadata...: 110587it [00:13, 5350.06it/s] Reading metadata...: 117905it [00:15, 5480.20it/s] Reading metadata...: 132000it [00:16, 6898.25it/s] Reading metadata...: 146014it [00:16, 10168.62it/s] Reading metadata...: 153083it [00:16, 11213.31it/s] Reading metadata...: 167903it [00:16, 17038.42it/s] Reading metadata...: 176226it [00:17, 13544.55it/s] Reading metadata...: 184380it [00:18, 14560.00it/s] Reading metadata...: 199849it [00:18, 22725.78it/s] Reading metadata...: 207861it [00:18, 22429.49it/s] Reading metadata...: 221914it [00:19, 21225.82it/s] Reading metadata...: 230467it [00:19, 11852.09it/s] Reading metadata...: 0it 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'learning_rate': 9.724444444444445e-06, 'epoch': 2.03} {'loss': 0.1688, 'learning_rate': 9.66888888888889e-06, 'epoch': 2.03} {'loss': 0.1616, 'learning_rate': 9.613333333333335e-06, 'epoch': 2.04} {'loss': 0.1541, 'learning_rate': 9.557777777777777e-06, 'epoch': 2.04} {'loss': 0.1565, 'learning_rate': 9.502222222222223e-06, 'epoch': 2.05} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 1.22it/s] Reading metadata...: 15305it [00:00, 22720.16it/s] Reading metadata...: 24307it [00:01, 16290.58it/s] Reading metadata...: 38794it [00:01, 29865.72it/s] Reading metadata...: 47811it [00:02, 24797.60it/s] Reading metadata...: 59039it [00:03, 18295.04it/s] Reading metadata...: 72636it [00:03, 27336.81it/s] Reading metadata...: 80216it [00:04, 16069.94it/s] Reading metadata...: 93450it [00:04, 23744.46it/s] Reading metadata...: 101289it [00:04, 23211.42it/s] Reading metadata...: 114047it [00:07, 10528.73it/s] Reading metadata...: 128225it [00:07, 15810.54it/s] Reading metadata...: 135590it [00:11, 5740.60it/s]  Reading metadata...: 149664it [00:12, 8135.61it/s] Reading metadata...: 164652it [00:12, 12291.18it/s] Reading metadata...: 172319it [00:14, 7862.68it/s]  Reading metadata...: 184380it [00:16, 6816.06it/s] Reading metadata...: 199539it [00:16, 10435.79it/s] Reading metadata...: 206876it [00:17, 11503.04it/s] Reading metadata...: 220924it [00:17, 17051.73it/s] Reading metadata...: 229142it [00:21, 5822.80it/s]  Reading metadata...: 230467it [00:21, 10480.94it/s] Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 3.29it/s] Reading metadata...: 14712it [00:00, 47049.80it/s] Reading metadata...: 15520it [00:00, 37871.82it/s] 15%|█▍ | 728/5000 [5:53:41<53:39:39, 45.22s/it] 15%|█▍ | 729/5000 [5:54:11<48:04:05, 40.52s/it] 15%|█▍ | 730/5000 [5:54:39<43:36:48, 36.77s/it] 15%|█▍ | 731/5000 [5:55:08<40:59:17, 34.56s/it] 15%|█▍ | 732/5000 [5:55:42<40:45:17, 34.38s/it] 15%|█▍ | 733/5000 [5:56:09<38:11:56, 32.23s/it] 15%|█▍ | 734/5000 [5:56:40<37:27:14, 31.61s/it] 15%|█▍ | 735/5000 [5:57:07<36:04:03, 30.44s/it] 15%|█▍ | 736/5000 [5:57:42<37:32:24, 31.69s/it] 15%|█▍ | 737/5000 [5:58:10<36:21:08, 30.70s/it] 15%|█▍ | 738/5000 [5:58:40<36:02:02, 30.44s/it] 15%|█▍ | 739/5000 [5:59:10<35:56:49, 30.37s/it] 15%|█▍ | 740/5000 [5:59:38<34:51:02, 29.45s/it] 15%|█▍ | 741/5000 [6:00:07<34:45:35, 29.38s/it] 15%|█▍ | 742/5000 [6:00:34<33:56:30, 28.70s/it] 15%|█▍ | 743/5000 [6:01:05<34:37:05, 29.28s/it] 15%|█▍ | 744/5000 [6:01:34<34:34:46, 29.25s/it] 15%|█▍ | 745/5000 [6:02:06<35:41:29, 30.20s/it] 15%|█▍ | 746/5000 [6:02:36<35:33:58, 30.10s/it] 15%|█▍ | 747/5000 [6:03:03<34:34:25, 29.27s/it] 15%|█▍ | 748/5000 [6:03:31<34:08:49, 28.91s/it] 15%|█▍ | 749/5000 [6:04:03<34:54:34, 29.56s/it] 15%|█▌ | 750/5000 [6:04:30<34:05:50, 28.88s/it] 15%|█▌ | 750/5000 [6:04:30<34:05:50, 28.88s/it] 15%|█▌ | 751/5000 [6:05:07<37:05:15, 31.42s/it] 15%|█▌ | 752/5000 [6:05:37<36:39:13, 31.06s/it] 15%|█▌ | 753/5000 [6:06:05<35:28:54, 30.08s/it] 15%|█▌ | 754/5000 [6:06:39<36:51:03, 31.24s/it] 15%|█▌ | 755/5000 [6:07:07<35:38:37, 30.23s/it] 15%|█▌ | 756/5000 [6:07:37<35:26:10, 30.06s/it] 15%|█▌ | 757/5000 [6:08:07<35:29:49, 30.12s/it] 15%|█▌ | 758/5000 [6:08:34<34:15:32, 29.07s/it] 15%|█▌ | 759/5000 [6:09:03<34:21:23, 29.16s/it] 15%|█▌ | 760/5000 [6:09:30<33:45:17, 28.66s/it] 15%|█▌ | 761/5000 [6:09:59<33:51:21, 28.75s/it] 15%|█▌ | 762/5000 [6:10:27<33:25:13, 28.39s/it] 15%|█▌ | 763/5000 [6:10:54<33:01:41, 28.06s/it] 15%|█▌ | 764/5000 [6:11:31<36:15:42, 30.82s/it] 15%|█▌ | 765/5000 [6:11:59<34:56:02, 29.70s/it] 15%|█▌ | 766/5000 [6:12:28<35:00:23, 29.76s/it] 15%|█▌ | 767/5000 [6:12:57<34:23:52, 29.25s/it] 15%|█▌ | 768/5000 [6:13:24<33:54:39, 28.85s/it] 15%|█▌ | 769/5000 [6:13:55<34:23:01, 29.26s/it] 15%|█▌ | 770/5000 [6:14:23<34:04:35, 29.00s/it] 15%|█▌ | 771/5000 [6:14:51<33:51:13, 28.82s/it] 15%|█▌ | 772/5000 [6:15:26<35:51:57, 30.54s/it] 15%|█▌ | 773/5000 [6:15:53<34:33:53, 29.44s/it] 15%|█▌ | 774/5000 [6:16:23<34:46:09, 29.62s/it] 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[6:35:40<35:44:30, 30.74s/it] 16%|█▋ | 815/5000 [6:36:08<34:48:28, 29.94s/it] 16%|█▋ | 816/5000 [6:36:36<33:51:27, 29.13s/it] 16%|█▋ | 817/5000 [6:37:05<34:01:11, 29.28s/it] 16%|█▋ | 818/5000 [6:37:32<33:15:36, 28.63s/it] 16%|█▋ | 819/5000 [6:38:03<33:49:33, 29.13s/it] 16%|█▋ | 820/5000 [6:38:30<33:13:06, 28.61s/it] 16%|█▋ | 821/5000 [6:39:00<33:48:53, 29.13s/it] 16%|█▋ | 822/5000 [6:39:30<33:48:45, 29.13s/it] 16%|█▋ | 823/5000 [6:39:58<33:22:56, 28.77s/it] 16%|█▋ | 824/5000 [6:40:27<33:47:23, 29.13s/it] 16%|█▋ | 825/5000 [6:40:55<33:15:27, 28.68s/it] 16%|█▋ | 825/5000 [6:40:55<33:15:27, 28.68s/it] 17%|█▋ | 826/5000 [6:41:24<33:29:37, 28.89s/it] 17%|█▋ | 827/5000 [6:41:54<33:46:18, 29.13s/it] 17%|█▋ | 828/5000 [6:42:21<33:04:41, 28.54s/it] 17%|█▋ | 829/5000 [6:42:50<33:13:19, 28.67s/it] 17%|█▋ | 830/5000 [6:43:18<32:42:05, 28.23s/it] 17%|█▋ | 831/5000 [6:43:49<33:39:21, 29.06s/it] 17%|█▋ | 832/5000 [6:44:19<33:58:04, 29.34s/it] 17%|█▋ | 833/5000 [6:44:47<33:44:01, 29.14s/it] 17%|█▋ | 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'learning_rate': 9.335555555555557e-06, 'epoch': 3.01} {'loss': 0.1343, 'learning_rate': 9.280000000000001e-06, 'epoch': 3.02} {'loss': 0.0982, 'learning_rate': 9.224444444444445e-06, 'epoch': 3.02} {'loss': 0.0957, 'learning_rate': 9.168888888888889e-06, 'epoch': 3.03} {'loss': 0.1034, 'learning_rate': 9.113333333333335e-06, 'epoch': 3.03} {'loss': 0.099, 'learning_rate': 9.057777777777779e-06, 'epoch': 3.04} {'loss': 0.0863, 'learning_rate': 9.002222222222223e-06, 'epoch': 3.04} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:02, 2.60s/it] Reading metadata...: 15617it [00:02, 8140.52it/s] Reading metadata...: 24803it [00:06, 4292.71it/s] Reading metadata...: 39955it [00:06, 8647.84it/s] Reading metadata...: 49034it [00:08, 6612.74it/s] Reading metadata...: 59039it [00:10, 5732.00it/s] Reading metadata...: 73373it [00:10, 9308.71it/s] Reading metadata...: 80810it [00:12, 6627.27it/s] Reading metadata...: 94811it [00:12, 10402.09it/s] Reading metadata...: 102746it 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`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 [9:02:19<32:01:14, 28.82s/it][INFO|trainer.py:2877] 2023-05-10 18:43:59,730 >> Saving model checkpoint to ./checkpoint-1000 [INFO|configuration_utils.py:458] 2023-05-10 18:43:59,735 >> Configuration saved in ./checkpoint-1000/config.json [INFO|configuration_utils.py:364] 2023-05-10 18:43:59,739 >> Configuration saved in ./checkpoint-1000/generation_config.json [INFO|modeling_utils.py:1855] 2023-05-10 18:44:03,168 >> Model weights saved in ./checkpoint-1000/pytorch_model.bin [INFO|feature_extraction_utils.py:369] 2023-05-10 18:44:03,173 >> Feature extractor saved in ./checkpoint-1000/preprocessor_config.json [INFO|feature_extraction_utils.py:369] 2023-05-10 18:44:11,165 >> Feature extractor saved in ./preprocessor_config.json Adding files tracked by Git LFS: ['wandb/run-20230509_115211-hq92t8sj/run-hq92t8sj.wandb', 'wandb/run-20230510_094132-lvsln7ks/run-lvsln7ks.wandb']. This may take a bit of time if the files are large. {'eval_loss': 0.24644243717193604, 'eval_wer': 9.800036380645496, 'eval_runtime': 3384.9122, 'eval_samples_per_second': 4.585, 'eval_steps_per_second': 0.072, 'epoch': 4.01} 05/10/2023 18:44:21 - WARNING - huggingface_hub.repository - Adding files tracked by Git LFS: ['wandb/run-20230509_115211-hq92t8sj/run-hq92t8sj.wandb', 'wandb/run-20230510_094132-lvsln7ks/run-lvsln7ks.wandb']. This may take a bit of time if the files are large. /home/local/QCRI/dizham/miniconda3/envs/whisper/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector. warnings.warn('Was asked to gather along dimension 0, but all ' 20%|██ | 1001/5000 [9:03:19<1170:39:51, 1053.86s/it] 20%|██ | 1002/5000 [9:03:48<828:45:04, 746.25s/it] 20%|██ | 1003/5000 [9:04:17<589:34:20, 531.01s/it] 20%|██ | 1004/5000 [9:04:45<421:56:45, 380.13s/it] 20%|██ | 1005/5000 [9:05:13<304:41:43, 274.57s/it] 20%|██ | 1006/5000 [9:05:40<222:16:53, 200.35s/it] 20%|██ | 1007/5000 [9:06:10<165:22:17, 149.10s/it] 20%|██ | 1008/5000 [9:06:37<124:54:48, 112.65s/it] 20%|██ | 1009/5000 [9:07:04<96:24:16, 86.96s/it] 20%|██ | 1010/5000 [9:07:33<76:59:46, 69.47s/it] 20%|██ | 1011/5000 [9:08:01<63:08:00, 56.98s/it] 20%|██ | 1012/5000 [9:08:28<53:10:01, 47.99s/it] 20%|██ | 1013/5000 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7.946666666666666e-06, 'epoch': 5.04} {'loss': 0.1306, 'learning_rate': 7.891111111111112e-06, 'epoch': 5.05} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 1.24it/s] Reading metadata...: 15477it [00:00, 23269.09it/s] Reading metadata...: 24580it [00:02, 12080.42it/s] Reading metadata...: 39660it [00:02, 23131.68it/s] Reading metadata...: 48819it [00:03, 15922.80it/s] Reading metadata...: 59039it [00:03, 18438.58it/s] Reading metadata...: 72638it [00:03, 27683.43it/s] Reading metadata...: 80456it [00:03, 26024.51it/s] Reading metadata...: 93701it [00:04, 36961.65it/s] Reading metadata...: 101984it [00:04, 32026.43it/s] Reading metadata...: 114047it [00:07, 10053.56it/s] Reading metadata...: 127803it [00:07, 15013.57it/s] Reading metadata...: 135184it [00:07, 16136.41it/s] Reading metadata...: 149382it [00:07, 24040.20it/s] Reading metadata...: 157731it [00:08, 24000.36it/s] Reading metadata...: 168342it [00:08, 24425.08it/s] Reading metadata...: 180556it 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0.0837, 'learning_rate': 7.446666666666668e-06, 'epoch': 6.04} {'loss': 0.0863, 'learning_rate': 7.3911111111111125e-06, 'epoch': 6.04} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 1.13it/s] Reading metadata...: 15604it [00:00, 21691.48it/s] Reading metadata...: 24782it [00:01, 17217.64it/s] Reading metadata...: 40011it [00:01, 31943.84it/s] Reading metadata...: 49424it [00:02, 23851.62it/s] Reading metadata...: 59039it [00:02, 24321.37it/s] Reading metadata...: 73734it [00:02, 36839.61it/s] Reading metadata...: 82039it [00:03, 21682.31it/s] Reading metadata...: 95456it [00:03, 31185.48it/s] Reading metadata...: 103753it [00:04, 27774.54it/s] Reading metadata...: 114047it [00:04, 27796.18it/s] Reading metadata...: 127581it [00:04, 38986.79it/s] Reading metadata...: 135369it [00:05, 22394.02it/s] Reading metadata...: 149664it [00:06, 21981.89it/s] Reading metadata...: 164603it [00:06, 31682.06it/s] Reading metadata...: 172339it [00:06, 28427.25it/s] Reading metadata...: 184380it [00:07, 29130.81it/s] Reading metadata...: 199726it [00:07, 41447.45it/s] Reading metadata...: 207932it [00:07, 34655.23it/s] Reading metadata...: 221559it [00:07, 46507.04it/s] Reading metadata...: 230127it [00:07, 39126.48it/s] Reading metadata...: 230467it [00:07, 28924.27it/s] Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 3.25it/s] Reading metadata...: 15473it [00:00, 49059.06it/s] Reading metadata...: 15520it [00:00, 37994.72it/s] 34%|███▍ | 1698/5000 [14:41:21<37:45:45, 41.17s/it] 34%|███▍ | 1699/5000 [14:41:50<34:31:48, 37.66s/it] 34%|███▍ | 1700/5000 [14:42:18<31:39:14, 34.53s/it] 34%|███▍ | 1700/5000 [14:42:18<31:39:14, 34.53s/it] 34%|███▍ | 1701/5000 [14:42:46<30:02:40, 32.79s/it] 34%|███▍ | 1702/5000 [14:43:15<28:46:01, 31.40s/it] 34%|███▍ | 1703/5000 [14:43:42<27:40:38, 30.22s/it] 34%|███▍ | 1704/5000 [14:44:10<27:07:31, 29.63s/it] 34%|███▍ | 1705/5000 [14:44:40<27:11:28, 29.71s/it] 34%|███▍ | 1706/5000 [14:45:08<26:45:34, 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'learning_rate': 7.1688888888888895e-06, 'epoch': 7.02} {'loss': 0.0553, 'learning_rate': 7.113333333333334e-06, 'epoch': 7.02} {'loss': 0.0637, 'learning_rate': 7.057777777777778e-06, 'epoch': 7.03} {'loss': 0.0556, 'learning_rate': 7.0022222222222225e-06, 'epoch': 7.03} {'loss': 0.0514, 'learning_rate': 6.946666666666667e-06, 'epoch': 7.04} {'loss': 0.0454, 'learning_rate': 6.891111111111111e-06, 'epoch': 7.04} {'loss': 0.0505, 'learning_rate': 6.835555555555556e-06, 'epoch': 7.05} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 1.28it/s] Reading metadata...: 15082it [00:00, 23368.32it/s] Reading metadata...: 23953it [00:01, 13665.44it/s] Reading metadata...: 38431it [00:01, 25637.17it/s] Reading metadata...: 47317it [00:02, 25863.66it/s] Reading metadata...: 59039it [00:02, 27399.29it/s] Reading metadata...: 72959it [00:02, 39686.52it/s] Reading metadata...: 81154it [00:03, 20926.46it/s] Reading metadata...: 94321it [00:03, 30006.14it/s] Reading metadata...: 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If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 40%|████ | 2000/5000 [17:58:10<24:20:42, 29.21s/it][INFO|trainer.py:2877] 2023-05-11 03:39:50,770 >> Saving model checkpoint to ./checkpoint-2000 [INFO|configuration_utils.py:458] 2023-05-11 03:39:50,774 >> Configuration saved in ./checkpoint-2000/config.json [INFO|configuration_utils.py:364] 2023-05-11 03:39:50,778 >> Configuration saved in ./checkpoint-2000/generation_config.json [INFO|modeling_utils.py:1855] 2023-05-11 03:39:54,336 >> Model weights saved in ./checkpoint-2000/pytorch_model.bin [INFO|feature_extraction_utils.py:369] 2023-05-11 03:39:54,340 >> Feature extractor saved in ./checkpoint-2000/preprocessor_config.json [INFO|feature_extraction_utils.py:369] 2023-05-11 03:40:05,259 >> Feature extractor saved in ./preprocessor_config.json /home/local/QCRI/dizham/miniconda3/envs/whisper/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was 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{'loss': 0.0621, 'learning_rate': 5.946666666666668e-06, 'epoch': 9.03} {'loss': 0.0672, 'learning_rate': 5.891111111111112e-06, 'epoch': 9.03} {'loss': 0.0676, 'learning_rate': 5.8355555555555565e-06, 'epoch': 9.04} {'loss': 0.0626, 'learning_rate': 5.78e-06, 'epoch': 9.04} {'loss': 0.0627, 'learning_rate': 5.724444444444445e-06, 'epoch': 9.05} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 1.12it/s] Reading metadata...: 14913it [00:00, 20580.22it/s] Reading metadata...: 23685it [00:01, 17034.86it/s] Reading metadata...: 39030it [00:01, 32372.33it/s] Reading metadata...: 48364it [00:02, 19990.86it/s] Reading metadata...: 59039it [00:02, 22357.50it/s] Reading metadata...: 74019it [00:03, 34151.54it/s] Reading metadata...: 82406it [00:03, 31022.81it/s] Reading metadata...: 96058it [00:05, 11886.83it/s] Reading metadata...: 110165it [00:05, 17468.26it/s] Reading metadata...: 117726it [00:06, 18358.82it/s] Reading metadata...: 131859it [00:06, 26739.00it/s] 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5.057777777777778e-06, 'epoch': 11.01} {'loss': 0.0621, 'learning_rate': 5.002222222222223e-06, 'epoch': 11.02} {'loss': 0.0397, 'learning_rate': 4.946666666666667e-06, 'epoch': 11.02} {'loss': 0.0417, 'learning_rate': 4.891111111111111e-06, 'epoch': 11.03} {'loss': 0.0452, 'learning_rate': 4.835555555555556e-06, 'epoch': 11.03} {'loss': 0.0419, 'learning_rate': 4.78e-06, 'epoch': 11.04} {'loss': 0.0468, 'learning_rate': 4.724444444444445e-06, 'epoch': 11.04} {'loss': 0.0477, 'learning_rate': 4.66888888888889e-06, 'epoch': 11.05} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:01, 1.18s/it] Reading metadata...: 14788it [00:01, 16014.72it/s] Reading metadata...: 23486it [00:02, 8701.72it/s]  Reading metadata...: 37721it [00:02, 16888.84it/s] Reading metadata...: 46357it [00:04, 11792.71it/s] Reading metadata...: 59039it [00:05, 11072.34it/s] Reading metadata...: 73002it [00:05, 17085.29it/s] Reading metadata...: 80364it [00:06, 16193.01it/s] Reading metadata...: 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11:34:12,378 >> ***** Running Evaluation ***** [INFO|trainer.py:3142] 2023-05-11 11:34:12,378 >> Num examples: Unknown [INFO|trainer.py:3143] 2023-05-11 11:34:12,378 >> Batch size = 64 {'loss': 0.073, 'learning_rate': 4.613333333333334e-06, 'epoch': 12.0} {'loss': 0.0743, 'learning_rate': 4.557777777777778e-06, 'epoch': 12.01} {'loss': 0.0617, 'learning_rate': 4.502222222222223e-06, 'epoch': 12.01} {'loss': 0.028, 'learning_rate': 4.446666666666667e-06, 'epoch': 12.02} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 1.91it/s] Reading metadata...: 15425it [00:00, 33055.68it/s] Reading metadata...: 15520it [00:00, 24837.17it/s] [INFO|trainer_utils.py:693] 2023-05-11 11:34:22,019 >> 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 [26:43:05<15:29:53, 27.90s/it][INFO|trainer.py:2877] 2023-05-11 12:24:45,564 >> Saving model checkpoint to ./checkpoint-3000 [INFO|configuration_utils.py:458] 2023-05-11 12:24:45,569 >> Configuration saved in ./checkpoint-3000/config.json [INFO|configuration_utils.py:364] 2023-05-11 12:24:45,573 >> Configuration saved in ./checkpoint-3000/generation_config.json [INFO|modeling_utils.py:1855] 2023-05-11 12:24:49,746 >> Model weights saved in ./checkpoint-3000/pytorch_model.bin [INFO|feature_extraction_utils.py:369] 2023-05-11 12:24:49,750 >> Feature extractor saved in ./checkpoint-3000/preprocessor_config.json [INFO|feature_extraction_utils.py:369] 2023-05-11 12:25:01,129 >> Feature extractor saved in ./preprocessor_config.json /home/local/QCRI/dizham/miniconda3/envs/whisper/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: 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5.117, 'eval_steps_per_second': 0.08, 'epoch': 12.02} {'loss': 0.0242, 'learning_rate': 4.391111111111112e-06, 'epoch': 12.02} {'loss': 0.0257, 'learning_rate': 4.3355555555555565e-06, 'epoch': 12.03} {'loss': 0.0264, 'learning_rate': 4.2800000000000005e-06, 'epoch': 12.03} {'loss': 0.0253, 'learning_rate': 4.2244444444444446e-06, 'epoch': 12.04} {'loss': 0.0274, 'learning_rate': 4.168888888888889e-06, 'epoch': 12.04} {'loss': 0.0295, 'learning_rate': 4.1133333333333335e-06, 'epoch': 12.05} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:16, 16.43s/it] Reading metadata...: 15519it [00:16, 1337.42it/s] Reading metadata...: 15519it [00:27, 1337.42it/s] Reading metadata...: 20507it [00:41, 473.71it/s]  Reading metadata...: 20507it [00:57, 473.71it/s] Reading metadata...: 20542it [01:08, 223.27it/s] Reading metadata...: 35570it [01:08, 652.02it/s] Reading metadata...: 35570it [01:27, 652.02it/s] Reading metadata...: 40110it [01:29, 447.68it/s] Reading metadata...: 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'learning_rate': 3.724444444444445e-06, 'epoch': 13.03} {'loss': 0.0218, 'learning_rate': 3.668888888888889e-06, 'epoch': 13.04} {'loss': 0.0249, 'learning_rate': 3.6133333333333336e-06, 'epoch': 13.04} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:02, 2.57s/it] Reading metadata...: 15650it [00:02, 8236.69it/s] Reading metadata...: 24855it [00:04, 6918.26it/s] Reading metadata...: 39714it [00:04, 13539.04it/s] Reading metadata...: 48768it [00:07, 6820.50it/s]  Reading metadata...: 59039it [00:09, 5425.63it/s] Reading metadata...: 72896it [00:09, 8693.51it/s] Reading metadata...: 80138it [00:10, 9912.98it/s] Reading metadata...: 93640it [00:10, 15209.13it/s] Reading metadata...: 101672it [00:13, 7375.54it/s] Reading metadata...: 114047it [00:14, 8067.38it/s] Reading metadata...: 127414it [00:14, 12005.82it/s] Reading metadata...: 134412it [00:15, 12810.40it/s] Reading metadata...: 147791it [00:15, 19024.21it/s] Reading metadata...: 155601it [00:17, 8059.62it/s]  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3.2800000000000004e-06, 'epoch': 14.03} {'loss': 0.0367, 'learning_rate': 3.2244444444444444e-06, 'epoch': 14.03} {'loss': 0.0389, 'learning_rate': 3.1688888888888893e-06, 'epoch': 14.04} {'loss': 0.037, 'learning_rate': 3.1133333333333337e-06, 'epoch': 14.04} {'loss': 0.0368, 'learning_rate': 3.0577777777777778e-06, 'epoch': 14.05} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:01, 1.01s/it] Reading metadata...: 15543it [00:01, 19193.32it/s] Reading metadata...: 24686it [00:04, 4548.23it/s]  Reading metadata...: 40068it [00:05, 9239.88it/s] Reading metadata...: 49213it [00:05, 11290.54it/s] Reading metadata...: 59039it [00:05, 13469.42it/s] Reading metadata...: 72917it [00:05, 20875.60it/s] Reading metadata...: 80934it [00:07, 10646.53it/s] Reading metadata...: 95260it [00:07, 16533.29it/s] Reading metadata...: 103588it [00:08, 15490.04it/s] Reading metadata...: 114047it [00:11, 7737.95it/s]  Reading metadata...: 128389it [00:11, 11945.81it/s] Reading metadata...: 135801it [00:12, 12901.24it/s] Reading metadata...: 149664it [00:12, 16328.32it/s] Reading metadata...: 164624it [00:12, 24050.18it/s] Reading metadata...: 172561it [00:15, 9018.91it/s]  Reading metadata...: 184380it [00:15, 11356.51it/s] Reading metadata...: 199814it [00:16, 17253.60it/s] Reading metadata...: 207759it [00:16, 17492.83it/s] Reading metadata...: 221654it [00:16, 25132.74it/s] Reading metadata...: 230103it [00:22, 5313.62it/s]  Reading metadata...: 230467it [00:22, 10328.63it/s] Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 2.89it/s] Reading metadata...: 15049it [00:00, 43940.38it/s] Reading metadata...: 15520it [00:00, 34489.56it/s] 73%|███████▎ | 3638/5000 [32:12:08<18:02:37, 47.69s/it] 73%|███████▎ | 3639/5000 [32:12:39<16:05:51, 42.58s/it] 73%|███████▎ | 3640/5000 [32:13:08<14:34:40, 38.59s/it] 73%|███████▎ | 3641/5000 [32:13:38<13:33:48, 35.93s/it] 73%|███████▎ | 3642/5000 [32:14:08<12:53:51, 34.19s/it] 73%|███████▎ | 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2.946666666666667e-06, 'epoch': 15.01} {'loss': 0.0588, 'learning_rate': 2.891111111111111e-06, 'epoch': 15.01} {'loss': 0.0636, 'learning_rate': 2.835555555555556e-06, 'epoch': 15.02} {'loss': 0.062, 'learning_rate': 2.7800000000000005e-06, 'epoch': 15.02} {'loss': 0.0596, 'learning_rate': 2.7244444444444445e-06, 'epoch': 15.03} {'loss': 0.075, 'learning_rate': 2.6688888888888894e-06, 'epoch': 15.03} {'loss': 0.0694, 'learning_rate': 2.6133333333333334e-06, 'epoch': 15.04} {'loss': 0.0686, 'learning_rate': 2.557777777777778e-06, 'epoch': 15.04} {'loss': 0.0682, 'learning_rate': 2.5022222222222224e-06, 'epoch': 15.05} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 2.65it/s] Reading metadata...: 16045it [00:00, 44012.61it/s] Reading metadata...: 25483it [00:01, 20347.70it/s] Reading metadata...: 40110it [00:04, 8058.96it/s]  Reading metadata...: 54984it [00:04, 13413.67it/s] Reading metadata...: 62679it [00:04, 14392.32it/s] Reading metadata...: 77578it [00:04, 22432.43it/s] Reading metadata...: 86297it [00:05, 22174.77it/s] Reading metadata...: 96058it [00:05, 22319.18it/s] Reading metadata...: 110000it [00:05, 32287.49it/s] Reading metadata...: 117942it [00:06, 28290.42it/s] Reading metadata...: 131923it [00:06, 39986.86it/s] Reading metadata...: 140437it [00:07, 19346.69it/s] Reading metadata...: 149664it [00:08, 14708.40it/s] Reading metadata...: 164561it [00:08, 22551.42it/s] Reading metadata...: 172244it [00:08, 21365.22it/s] Reading metadata...: 184380it [00:09, 22788.06it/s] Reading metadata...: 199622it [00:09, 33421.60it/s] Reading metadata...: 207647it [00:10, 19574.76it/s] Reading metadata...: 221594it [00:10, 28096.74it/s] Reading metadata...: 229877it [00:10, 26288.05it/s] Reading metadata...: 230467it [00:10, 21044.37it/s] Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 2.69it/s] Reading metadata...: 15378it [00:00, 42660.17it/s] Reading metadata...: 15520it [00:00, 32765.41it/s] 78%|███████▊ | 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[INFO|trainer.py:3142] 2023-05-11 20:52:31,247 >> Num examples: Unknown [INFO|trainer.py:3143] 2023-05-11 20:52:31,247 >> Batch size = 64 {'loss': 0.096, 'learning_rate': 2.446666666666667e-06, 'epoch': 16.0} {'loss': 0.1025, 'learning_rate': 2.3911111111111113e-06, 'epoch': 16.01} {'loss': 0.103, 'learning_rate': 2.3355555555555557e-06, 'epoch': 16.01} {'loss': 0.1102, 'learning_rate': 2.28e-06, 'epoch': 16.02} {'loss': 0.1083, 'learning_rate': 2.2244444444444447e-06, 'epoch': 16.02} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:00, 2.88it/s] Reading metadata...: 15520it [00:00, 34879.19it/s] [INFO|trainer_utils.py:693] 2023-05-11 20:52:40,903 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. 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19.02} {'loss': 0.02, 'learning_rate': 6.133333333333333e-07, 'epoch': 19.02} {'loss': 0.0174, 'learning_rate': 5.577777777777779e-07, 'epoch': 19.03} {'loss': 0.0191, 'learning_rate': 5.022222222222222e-07, 'epoch': 19.03} {'loss': 0.0192, 'learning_rate': 4.466666666666667e-07, 'epoch': 19.04} {'loss': 0.0183, 'learning_rate': 3.9111111111111115e-07, 'epoch': 19.04} {'loss': 0.0184, 'learning_rate': 3.3555555555555556e-07, 'epoch': 19.05} Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:01, 1.00s/it] Reading metadata...: 15687it [00:01, 19583.89it/s] Reading metadata...: 24914it [00:05, 4157.81it/s]  Reading metadata...: 40110it [00:06, 6746.62it/s] Reading metadata...: 54978it [00:06, 11260.54it/s] Reading metadata...: 62723it [00:09, 6723.19it/s]  Reading metadata...: 77735it [00:09, 10835.60it/s] Reading metadata...: 86151it [00:11, 6825.17it/s]  Reading metadata...: 96058it [00:12, 8649.86it/s] Reading metadata...: 110904it [00:12, 13509.87it/s] Reading 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15520it [00:01, 8256.34it/s] [INFO|trainer_utils.py:693] 2023-05-12 05:47:34,127 >> 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 [45:02:21<00:00, 28.81s/it][INFO|trainer.py:2877] 2023-05-12 06:44:01,600 >> Saving model checkpoint to ./checkpoint-5000 [INFO|configuration_utils.py:458] 2023-05-12 06:44:01,605 >> Configuration saved in ./checkpoint-5000/config.json [INFO|configuration_utils.py:364] 2023-05-12 06:44:01,609 >> Configuration saved in ./checkpoint-5000/generation_config.json [INFO|modeling_utils.py:1855] 2023-05-12 06:44:04,688 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin [INFO|feature_extraction_utils.py:369] 2023-05-12 06:44:04,692 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json [INFO|feature_extraction_utils.py:369] 2023-05-12 06:44:15,555 >> Feature extractor saved in ./preprocessor_config.json [INFO|trainer.py:2044] 2023-05-12 06:45:02,781 >> Training completed. Do not forget to share your model on huggingface.co/models =) [INFO|trainer.py:2177] 2023-05-12 06:45:02,783 >> Loading best model from ./checkpoint-4000 (score: 8.212281066472636). 100%|██████████| 5000/5000 [45:03:23<00:00, 28.81s/it] 100%|██████████| 5000/5000 [45:03:23<00:00, 32.44s/it] [INFO|trainer.py:2877] 2023-05-12 06:45:04,427 >> Saving model checkpoint to ./ [INFO|configuration_utils.py:458] 2023-05-12 06:45:04,430 >> Configuration saved in ./config.json [INFO|configuration_utils.py:364] 2023-05-12 06:45:04,434 >> Configuration saved in ./generation_config.json [INFO|modeling_utils.py:1855] 2023-05-12 06:45:07,575 >> Model weights saved in ./pytorch_model.bin [INFO|feature_extraction_utils.py:369] 2023-05-12 06:45:07,579 >> Feature extractor saved in ./preprocessor_config.json [INFO|trainer.py:2877] 2023-05-12 06:45:07,583 >> Saving model checkpoint to ./ [INFO|configuration_utils.py:458] 2023-05-12 06:45:07,586 >> Configuration saved in ./config.json [INFO|configuration_utils.py:364] 2023-05-12 06:45:07,589 >> Configuration saved in ./generation_config.json [INFO|modeling_utils.py:1855] 2023-05-12 06:45:10,742 >> Model weights saved in ./pytorch_model.bin [INFO|feature_extraction_utils.py:369] 2023-05-12 06:45:10,746 >> Feature extractor saved in ./preprocessor_config.json Several commits (2) will be pushed upstream. {'eval_loss': 0.25196951627731323, 'eval_wer': 8.44550699028117, 'eval_runtime': 3402.3954, 'eval_samples_per_second': 4.561, 'eval_steps_per_second': 0.071, 'epoch': 20.03} {'train_runtime': 162214.2802, 'train_samples_per_second': 3.945, 'train_steps_per_second': 0.031, 'train_loss': 0.10428944413661957, 'epoch': 20.03} 05/12/2023 06:45:57 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream. The progress bars may be unreliable. 05/12/2023 06:45:57 - WARNING - huggingface_hub.repository - The progress bars may be unreliable. Upload file pytorch_model.bin: 0%| | 1.00/922M [00:00 main 05/12/2023 06:47:27 - WARNING - huggingface_hub.repository - To https://huggingface.co/danielizham/whisper-small-es cbe0ded..ac68b76 main -> main Upload file pytorch_model.bin: 100%|██████████| 922M/922M [01:23<00:00, 15.4MB/s] Upload file pytorch_model.bin: 100%|██████████| 922M/922M [01:23<00:00, 11.6MB/s] To https://huggingface.co/danielizham/whisper-small-es ac68b76..b6dcee7 main -> main 05/12/2023 06:47:38 - WARNING - huggingface_hub.repository - To https://huggingface.co/danielizham/whisper-small-es ac68b76..b6dcee7 main -> main ***** train metrics ***** epoch = 20.03 train_loss = 0.1043 train_runtime = 1 day, 21:03:34.28 train_samples_per_second = 3.945 train_steps_per_second = 0.031 05/12/2023 06:47:41 - INFO - __main__ - *** Evaluate *** [INFO|trainer.py:3138] 2023-05-12 06:47:41,494 >> ***** Running Evaluation ***** [INFO|trainer.py:3142] 2023-05-12 06:47:41,494 >> Num examples: Unknown [INFO|trainer.py:3143] 2023-05-12 06:47:41,494 >> Batch size = 64 Reading metadata...: 0it [00:00, ?it/s] Reading metadata...: 1it [00:02, 2.62s/it] Reading metadata...: 14353it [00:02, 7427.42it/s] Reading metadata...: 15520it [00:02, 5694.40it/s] [INFO|trainer_utils.py:693] 2023-05-12 06:47:59,383 >> 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. /home/local/QCRI/dizham/miniconda3/envs/whisper/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector. warnings.warn('Was asked to gather along dimension 0, but all ' [INFO|trainer.py:2877] 2023-05-12 07:40:07,772 >> Saving model checkpoint to ./ [INFO|configuration_utils.py:458] 2023-05-12 07:40:07,776 >> Configuration saved in ./config.json [INFO|configuration_utils.py:364] 2023-05-12 07:40:07,779 >> Configuration saved in ./generation_config.json [INFO|modeling_utils.py:1855] 2023-05-12 07:40:11,003 >> Model weights saved in ./pytorch_model.bin [INFO|feature_extraction_utils.py:369] 2023-05-12 07:40:11,008 >> Feature extractor saved in ./preprocessor_config.json ***** eval metrics ***** epoch = 20.03 eval_loss = 0.221 eval_runtime = 0:52:26.25 eval_samples_per_second = 4.933 eval_steps_per_second = 0.077 eval_wer = 8.2123 Upload file wandb/run-20230510_094132-lvsln7ks/run-lvsln7ks.wandb: 0%| | 32.0k/14.6M [00:00 main 05/12/2023 07:40:31 - WARNING - huggingface_hub.repository - To https://huggingface.co/danielizham/whisper-small-es b6dcee7..72efb0f main -> main Upload file wandb/run-20230510_094132-lvsln7ks/run-lvsln7ks.wandb: 100%|██████████| 14.6M/14.6M [00:04<00:00, 4.25MB/s] Upload file wandb/run-20230510_094132-lvsln7ks/run-lvsln7ks.wandb: 100%|██████████| 14.6M/14.6M [00:04<00:00, 4.25MB/s] Upload file wandb/run-20230510_094132-lvsln7ks/run-lvsln7ks.wandb: 100%|██████████| 14.6M/14.6M [00:04<00:00, 3.82MB/s]