/usr/data/condor/execute/dir_32133/whisper_slu/scripts/run_ner_trainer_peft.py:143: UserWarning: DeprecationWarning: use_peft is always True
  warnings.warn("DeprecationWarning: use_peft is always True")
Process rank: 0, device: cuda:0, n_gpu: 1distributed training: True, 16-bits training: True
/users/spraak/qmeeus/micromamba/envs/torch-cu121/lib/python3.10/site-packages/transformers/configuration_utils.py:508: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
  warnings.warn(
[INFO|configuration_utils.py:737] 2024-01-04 16:15:59,208 >> loading configuration file configs/whisper_small_ner.json
[WARNING|configuration_utils.py:617] 2024-01-04 16:15:59,208 >> You are using a model of type whisper to instantiate a model of type whisper_for_slu. This is not supported for all configurations of models and can yield errors.
[INFO|configuration_utils.py:802] 2024-01-04 16:15:59,210 >> Model config WhisperSLUConfig {
  "_name_or_path": "openai/whisper-small",
  "activation_dropout": 0.0,
  "activation_function": "gelu",
  "adaptor_activation": "relu",
  "adaptor_init": "constant",
  "adaptor_layernorm": true,
  "apply_spec_augment": false,
  "architectures": [
    "WhisperForConditionalGeneration"
  ],
  "attention_dropout": 0.0,
  "begin_suppress_tokens": [
    220,
    50257
  ],
  "bos_token_id": 50257,
  "classifier_proj_size": 256,
  "crf_transition_matrix": null,
  "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,
  "median_filter_width": 7,
  "model_type": "whisper_for_slu",
  "num_hidden_layers": 12,
  "num_mel_bins": 80,
  "pad_token_id": 50257,
  "scale_embedding": false,
  "slu_attention_heads": 12,
  "slu_dropout": 0.3,
  "slu_embed_dim": 768,
  "slu_ffn_dim": 2048,
  "slu_focus": 1.0,
  "slu_input_from": "decoder",
  "slu_input_layers": [
    11
  ],
  "slu_labels": null,
  "slu_layers": 2,
  "slu_max_positions": null,
  "slu_output_dim": 37,
  "slu_pad_token_id": 1,
  "slu_start_token_id": 36,
  "slu_task": "named_entity_recognition",
  "slu_weight": 1.0,
  "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,
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    6647,
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    9061,
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    10428,
    10929,
    11938,
    12033,
    12331,
    12562,
    13793,
    14157,
    14635,
    15265,
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    16553,
    16604,
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    18956,
    20075,
    21675,
    22520,
    26130,
    26161,
    26435,
    28279,
    29464,
    31650,
    32302,
    32470,
    36865,
    42863,
    47425,
    49870,
    50254,
    50258,
    50360,
    50361,
    50362
  ],
  "task": "token_classification",
  "teacher": null,
  "torch_dtype": "float32",
  "transformers_version": "4.37.0.dev0",
  "use_cache": true,
  "use_crf": false,
  "use_weighted_layer_sum": false,
  "vocab_size": 51865
}

/users/spraak/qmeeus/micromamba/envs/torch-cu121/lib/python3.10/site-packages/transformers/models/auto/feature_extraction_auto.py:328: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
  warnings.warn(
[INFO|feature_extraction_utils.py:535] 2024-01-04 16:15:59,215 >> loading configuration file /esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner/preprocessor_config.json
[INFO|feature_extraction_utils.py:579] 2024-01-04 16:15:59,220 >> 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
}

/users/spraak/qmeeus/micromamba/envs/torch-cu121/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:691: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
  warnings.warn(
[INFO|tokenization_utils_base.py:2024] 2024-01-04 16:15:59,234 >> loading file vocab.json
[INFO|tokenization_utils_base.py:2024] 2024-01-04 16:15:59,234 >> loading file tokenizer.json
[INFO|tokenization_utils_base.py:2024] 2024-01-04 16:15:59,234 >> loading file merges.txt
[INFO|tokenization_utils_base.py:2024] 2024-01-04 16:15:59,234 >> loading file normalizer.json
[INFO|tokenization_utils_base.py:2024] 2024-01-04 16:15:59,234 >> loading file added_tokens.json
[INFO|tokenization_utils_base.py:2024] 2024-01-04 16:15:59,234 >> loading file special_tokens_map.json
[INFO|tokenization_utils_base.py:2024] 2024-01-04 16:15:59,235 >> loading file tokenizer_config.json
[WARNING|logging.py:314] 2024-01-04 16:15:59,977 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
/users/spraak/qmeeus/micromamba/envs/torch-cu121/lib/python3.10/site-packages/transformers/modeling_utils.py:2790: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
  warnings.warn(
[INFO|modeling_utils.py:3373] 2024-01-04 16:15:59,982 >> loading weights file /esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner/model.safetensors
[INFO|configuration_utils.py:826] 2024-01-04 16:16:01,058 >> 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,
      50259
    ],
    [
      2,
      50359
    ],
    [
      3,
      50363
    ]
  ],
  "max_length": 448,
  "pad_token_id": 50257
}

[INFO|modeling_utils.py:4227] 2024-01-04 16:16:01,653 >> All model checkpoint weights were used when initializing WhisperSLU.

[INFO|modeling_utils.py:4235] 2024-01-04 16:16:01,653 >> All the weights of WhisperSLU were initialized from the model checkpoint at /esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner.
If your task is similar to the task the model of the checkpoint was trained on, you can already use WhisperSLU for predictions without further training.
[INFO|configuration_utils.py:779] 2024-01-04 16:16:01,656 >> loading configuration file /esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner/generation_config.json
[INFO|configuration_utils.py:826] 2024-01-04 16:16:01,657 >> Generate config GenerationConfig {
  "alignment_heads": [
    [
      5,
      3
    ],
    [
      5,
      9
    ],
    [
      8,
      0
    ],
    [
      8,
      4
    ],
    [
      8,
      7
    ],
    [
      8,
      8
    ],
    [
      9,
      0
    ],
    [
      9,
      7
    ],
    [
      9,
      9
    ],
    [
      10,
      5
    ]
  ],
  "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,
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    "<|nn|>": 50342,
    "<|no|>": 50288,
    "<|oc|>": 50328,
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    "<|pl|>": 50269,
    "<|ps|>": 50340,
    "<|pt|>": 50267,
    "<|ro|>": 50284,
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    "<|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,
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    60,
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    50254,
    50258,
    50358,
    50359,
    50360,
    50361,
    50362
  ],
  "task_to_id": {
    "transcribe": 50359,
    "translate": 50358
  }
}

[INFO|feature_extraction_utils.py:425] 2024-01-04 16:16:02,487 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/preprocessor_config.json
[INFO|tokenization_utils_base.py:2432] 2024-01-04 16:16:02,697 >> tokenizer config file saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tokenizer_config.json
[INFO|tokenization_utils_base.py:2441] 2024-01-04 16:16:02,698 >> Special tokens file saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/special_tokens_map.json
[INFO|configuration_utils.py:483] 2024-01-04 16:16:02,770 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/config.json
trainable params: 11,990,309 || all params: 253,728,185 || trainable%: 4.725651192436504
[INFO|trainer.py:522] 2024-01-04 16:16:03,058 >> max_steps is given, it will override any value given in num_train_epochs
[INFO|trainer.py:571] 2024-01-04 16:16:03,058 >> Using auto half precision backend
wandb: Currently logged in as: qmeeus. Use `wandb login --relogin` to force relogin
wandb: wandb version 0.16.1 is available!  To upgrade, please run:
wandb:  $ pip install wandb --upgrade
wandb: Tracking run with wandb version 0.15.12
wandb: Run data is saved locally in /usr/data/condor/execute/dir_32133/whisper_slu/wandb/run-20240104_161604-szfugz25
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run run-2024-01-04_16-16-03
wandb: ⭐️ View project at https://wandb.ai/qmeeus/Whisper%20PEFT%20Fine-Tuning
wandb: 🚀 View run at https://wandb.ai/qmeeus/Whisper%20PEFT%20Fine-Tuning/runs/szfugz25
[INFO|trainer.py:718] 2024-01-04 16:16:05,367 >> The following columns in the training set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:1712] 2024-01-04 16:16:05,412 >> ***** Running training *****
[INFO|trainer.py:1713] 2024-01-04 16:16:05,412 >>   Num examples = 71,615
[INFO|trainer.py:1714] 2024-01-04 16:16:05,412 >>   Num Epochs = 9
[INFO|trainer.py:1715] 2024-01-04 16:16:05,412 >>   Instantaneous batch size per device = 4
[INFO|trainer.py:1718] 2024-01-04 16:16:05,412 >>   Total train batch size (w. parallel, distributed & accumulation) = 128
[INFO|trainer.py:1719] 2024-01-04 16:16:05,412 >>   Gradient Accumulation steps = 32
[INFO|trainer.py:1720] 2024-01-04 16:16:05,413 >>   Total optimization steps = 5,000
[INFO|trainer.py:1721] 2024-01-04 16:16:05,414 >>   Number of trainable parameters = 11,990,309
[INFO|integration_utils.py:722] 2024-01-04 16:16:05,416 >> Automatic Weights & Biases logging enabled, to disable set os.environ["WANDB_DISABLED"] = "true"
[WARNING|logging.py:314] 2024-01-04 16:16:05,440 >> You're using a WhisperTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.
[INFO|trainer.py:718] 2024-01-04 16:39:41,300 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 16:47:18,571 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-200
[INFO|configuration_utils.py:483] 2024-01-04 16:47:18,573 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-200/config.json
[INFO|configuration_utils.py:594] 2024-01-04 16:47:18,575 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-200/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 16:47:21,264 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-200/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 16:47:21,268 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-200/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 17:10:58,917 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 17:18:36,642 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-400
[INFO|configuration_utils.py:483] 2024-01-04 17:18:36,645 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-400/config.json
[INFO|configuration_utils.py:594] 2024-01-04 17:18:36,646 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-400/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 17:18:39,103 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-400/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 17:18:39,105 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-400/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 17:42:19,026 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 17:49:57,271 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-600
[INFO|configuration_utils.py:483] 2024-01-04 17:49:57,273 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-600/config.json
[INFO|configuration_utils.py:594] 2024-01-04 17:49:57,275 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-600/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 17:50:00,352 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-600/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 17:50:00,355 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-600/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 18:13:32,213 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 18:21:08,995 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-800
[INFO|configuration_utils.py:483] 2024-01-04 18:21:08,998 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-800/config.json
[INFO|configuration_utils.py:594] 2024-01-04 18:21:09,000 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-800/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 18:21:11,464 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-800/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 18:21:11,466 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-800/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 18:44:51,227 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 18:52:34,548 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1000
[INFO|configuration_utils.py:483] 2024-01-04 18:52:34,551 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1000/config.json
[INFO|configuration_utils.py:594] 2024-01-04 18:52:34,553 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1000/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 18:52:37,349 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1000/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 18:52:37,353 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1000/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 19:16:14,157 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 19:23:53,038 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1200
[INFO|configuration_utils.py:483] 2024-01-04 19:23:53,040 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1200/config.json
[INFO|configuration_utils.py:594] 2024-01-04 19:23:53,042 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1200/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 19:23:55,385 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1200/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 19:23:55,388 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1200/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 19:47:32,898 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 19:55:11,424 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1400
[INFO|configuration_utils.py:483] 2024-01-04 19:55:11,426 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1400/config.json
[INFO|configuration_utils.py:594] 2024-01-04 19:55:11,428 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1400/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 19:55:13,704 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1400/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 19:55:13,706 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1400/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 20:18:49,683 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 20:26:30,082 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1600
[INFO|configuration_utils.py:483] 2024-01-04 20:26:30,085 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1600/config.json
[INFO|configuration_utils.py:594] 2024-01-04 20:26:30,087 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1600/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 20:26:32,387 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1600/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 20:26:32,390 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1600/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 20:50:08,100 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 20:57:48,948 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1800
[INFO|configuration_utils.py:483] 2024-01-04 20:57:48,951 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1800/config.json
[INFO|configuration_utils.py:594] 2024-01-04 20:57:48,953 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1800/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 20:57:51,514 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1800/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 20:57:51,517 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-1800/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 21:21:29,551 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 21:29:10,404 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2000
[INFO|configuration_utils.py:483] 2024-01-04 21:29:10,406 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2000/config.json
[INFO|configuration_utils.py:594] 2024-01-04 21:29:10,408 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2000/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 21:29:12,916 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2000/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 21:29:12,918 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2000/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 21:52:50,352 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 22:00:26,819 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2200
[INFO|configuration_utils.py:483] 2024-01-04 22:00:26,822 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2200/config.json
[INFO|configuration_utils.py:594] 2024-01-04 22:00:26,824 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2200/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 22:00:29,097 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2200/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 22:00:29,100 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2200/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 22:24:09,821 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 22:31:47,017 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2400
[INFO|configuration_utils.py:483] 2024-01-04 22:31:47,020 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2400/config.json
[INFO|configuration_utils.py:594] 2024-01-04 22:31:47,021 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2400/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 22:31:49,857 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2400/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 22:31:49,860 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2400/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 22:55:31,344 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 23:03:07,885 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2600
[INFO|configuration_utils.py:483] 2024-01-04 23:03:07,887 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2600/config.json
[INFO|configuration_utils.py:594] 2024-01-04 23:03:07,889 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2600/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 23:03:10,261 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2600/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 23:03:10,264 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2600/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 23:26:47,554 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-04 23:34:26,704 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2800
[INFO|configuration_utils.py:483] 2024-01-04 23:34:26,708 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2800/config.json
[INFO|configuration_utils.py:594] 2024-01-04 23:34:26,710 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2800/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-04 23:34:29,264 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2800/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-04 23:34:29,266 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-2800/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-04 23:58:10,328 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-05 00:05:48,535 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3000
[INFO|configuration_utils.py:483] 2024-01-05 00:05:48,538 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3000/config.json
[INFO|configuration_utils.py:594] 2024-01-05 00:05:48,562 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3000/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-05 00:05:50,957 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3000/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-05 00:05:50,960 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3000/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-05 00:29:27,582 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-05 00:37:04,888 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3200
[INFO|configuration_utils.py:483] 2024-01-05 00:37:04,891 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3200/config.json
[INFO|configuration_utils.py:594] 2024-01-05 00:37:04,892 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3200/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-05 00:37:07,573 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3200/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-05 00:37:07,575 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3200/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-05 01:00:45,990 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-05 01:08:25,718 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3400
[INFO|configuration_utils.py:483] 2024-01-05 01:08:25,721 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3400/config.json
[INFO|configuration_utils.py:594] 2024-01-05 01:08:25,722 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3400/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-05 01:08:28,043 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3400/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-05 01:08:28,046 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3400/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-05 01:32:02,935 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-05 01:39:42,260 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3600
[INFO|configuration_utils.py:483] 2024-01-05 01:39:42,262 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3600/config.json
[INFO|configuration_utils.py:594] 2024-01-05 01:39:42,264 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3600/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-05 01:39:45,037 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3600/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-05 01:39:45,040 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3600/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-05 02:03:18,499 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-05 02:10:54,524 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3800
[INFO|configuration_utils.py:483] 2024-01-05 02:10:54,528 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3800/config.json
[INFO|configuration_utils.py:594] 2024-01-05 02:10:54,530 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3800/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-05 02:10:57,233 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3800/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-05 02:10:57,235 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-3800/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-05 02:34:36,237 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-05 02:42:13,902 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4000
[INFO|configuration_utils.py:483] 2024-01-05 02:42:13,904 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4000/config.json
[INFO|configuration_utils.py:594] 2024-01-05 02:42:13,906 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4000/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-05 02:42:16,664 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4000/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-05 02:42:16,667 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4000/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-05 03:05:53,707 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-05 03:13:29,092 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4200
[INFO|configuration_utils.py:483] 2024-01-05 03:13:29,095 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4200/config.json
[INFO|configuration_utils.py:594] 2024-01-05 03:13:29,096 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4200/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-05 03:13:31,472 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4200/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-05 03:13:31,475 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4200/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-05 03:37:07,138 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-05 03:44:45,151 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4400
[INFO|configuration_utils.py:483] 2024-01-05 03:44:45,154 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4400/config.json
[INFO|configuration_utils.py:594] 2024-01-05 03:44:45,155 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4400/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-05 03:44:47,624 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4400/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-05 03:44:47,627 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4400/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-05 04:08:24,477 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-05 04:16:02,899 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4600
[INFO|configuration_utils.py:483] 2024-01-05 04:16:02,902 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4600/config.json
[INFO|configuration_utils.py:594] 2024-01-05 04:16:02,904 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4600/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-05 04:16:05,855 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4600/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-05 04:16:05,858 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4600/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-05 04:39:43,515 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-05 04:47:18,754 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4800
[INFO|configuration_utils.py:483] 2024-01-05 04:47:18,758 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4800/config.json
[INFO|configuration_utils.py:594] 2024-01-05 04:47:18,760 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4800/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-05 04:47:21,424 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4800/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-05 04:47:21,426 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-4800/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-05 05:10:56,324 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
[INFO|trainer.py:2895] 2024-01-05 05:18:32,407 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-5000
[INFO|configuration_utils.py:483] 2024-01-05 05:18:32,420 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-5000/config.json
[INFO|configuration_utils.py:594] 2024-01-05 05:18:32,422 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-5000/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-05 05:18:34,954 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-5000/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-05 05:18:34,957 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/tmp-checkpoint-5000/preprocessor_config.json
[INFO|trainer.py:1953] 2024-01-05 05:18:35,242 >> 

Training completed. Do not forget to share your model on huggingface.co/models =)


[INFO|trainer.py:2895] 2024-01-05 05:18:35,248 >> Saving model checkpoint to /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner
[INFO|configuration_utils.py:483] 2024-01-05 05:18:35,250 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/config.json
[INFO|configuration_utils.py:594] 2024-01-05 05:18:35,252 >> Configuration saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/generation_config.json
[INFO|modeling_utils.py:2413] 2024-01-05 05:18:37,732 >> Model weights saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/model.safetensors
[INFO|feature_extraction_utils.py:425] 2024-01-05 05:18:37,734 >> Feature extractor saved in /esat/audioslave/qmeeus/exp/whisper_slu/finetune/whisper-small-spoken-ner/preprocessor_config.json
[INFO|trainer.py:718] 2024-01-05 05:18:37,740 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperSLU.forward` and have been ignored: input_length. If input_length are not expected by `WhisperSLU.forward`,  you can safely ignore this message.
wandb: Waiting for W&B process to finish... (success).
wandb: 
wandb: Run history:
wandb:                  eval/f1_score █▆▃▄▄▂▃▂▂▄▁▁▃▂▂▂▁▂▂▂▃▂▂▂▂▂
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wandb:                      eval/loss █▆▆▅▄▄▃▃▃▃▂▂▂▂▁▂▂▁▁▁▁▁▁▁▁▁
wandb:                   eval/runtime ▃▃▄▂█▄▄▅▆▆▂▃▂▄▄▃▅▅▂▃▁▃▄▁▂▃
wandb:        eval/samples_per_second ▆▆▅▇▁▅▅▄▃▃▇▆▇▅▅▆▄▄▇▆█▅▅█▇▆
wandb:          eval/steps_per_second ▆▆▆▆▁▅▅▃▃▃▇▆▇▄▆▆▄▄▇▆█▆▅█▇▆
wandb:                       eval/wer ▁▂▄▅▅▆▆▇▆▇▇▇▇▇█▇▇▆▇▇▇▇▇▇▇▇
wandb:                    train/epoch ▁▁▁▁▂▂▂▂▂▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇████
wandb:              train/global_step ▁▁▁▁▂▂▂▂▂▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇████
wandb:            train/learning_rate ████████▇▇▇▇▇▆▆▆▅▅▅▅▄▄▄▄▃▃▃▃▂▂▂▂▂▁▁▁▁▁▁▁
wandb:                     train/loss █▇▅▅▅▄▄▄▄▃▃▄▃▃▃▃▃▃▃▂▂▂▂▁▂▂▂▁▁▁▁▂▂▁▁▁▁▂▁▁
wandb:               train/total_flos ▁
wandb:               train/train_loss ▁
wandb:            train/train_runtime ▁
wandb: train/train_samples_per_second ▁
wandb:   train/train_steps_per_second ▁
wandb: 
wandb: Run summary:
wandb:                  eval/f1_score 0.60982
wandb:                  eval/label_f1 0.83694
wandb:                      eval/loss 0.04444
wandb:                   eval/runtime 457.7019
wandb:        eval/samples_per_second 2.185
wandb:          eval/steps_per_second 0.546
wandb:                       eval/wer 0.10856
wandb:                    train/epoch 8.94
wandb:              train/global_step 5000
wandb:            train/learning_rate 0.0
wandb:                     train/loss 0.0297
wandb:               train/total_flos 1.9542812433710973e+20
wandb:               train/train_loss 0.03341
wandb:            train/train_runtime 46949.8286
wandb: train/train_samples_per_second 13.632
wandb:   train/train_steps_per_second 0.106
wandb: 
wandb: 🚀 View run run-2024-01-04_16-16-03 at: https://wandb.ai/qmeeus/Whisper%20PEFT%20Fine-Tuning/runs/szfugz25
wandb: ️⚡ View job at https://wandb.ai/qmeeus/Whisper%20PEFT%20Fine-Tuning/jobs/QXJ0aWZhY3RDb2xsZWN0aW9uOjEyNzQzMjk1OA==/version_details/v3
wandb: Synced 5 W&B file(s), 0 media file(s), 2 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20240104_161604-szfugz25/logs