|
/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, |
|
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 |
|
], |
|
"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, |
|
"<|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 |
|
} |
|
} |
|
|
|
[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: 🚀 View run at https: |
|
[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. |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[INFO|trainer.py:1953] 2024-01-05 05:18:35,242 >> |
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Training completed. Do not forget to share your model on huggingface.co/models =) |
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[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 |
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[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 |
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[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 |
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[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 |
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[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 |
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[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. |
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wandb: Waiting for W&B process to finish... (success). |
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wandb: |
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wandb: Run history: |
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wandb: eval/f1_score █▆▃▄▄▂▃▂▂▄▁▁▃▂▂▂▁▂▂▂▃▂▂▂▂▂ |
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wandb: eval/samples_per_second ▆▆▅▇▁▅▅▄▃▃▇▆▇▅▅▆▄▄▇▆█▅▅█▇▆ |
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wandb: eval/steps_per_second ▆▆▆▆▁▅▅▃▃▃▇▆▇▄▆▆▄▄▇▆█▆▅█▇▆ |
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wandb: eval/wer ▁▂▄▅▅▆▆▇▆▇▇▇▇▇█▇▇▆▇▇▇▇▇▇▇▇ |
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wandb: train/epoch ▁▁▁▁▂▂▂▂▂▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇████ |
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wandb: train/learning_rate ████████▇▇▇▇▇▆▆▆▅▅▅▅▄▄▄▄▃▃▃▃▂▂▂▂▂▁▁▁▁▁▁▁ |
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wandb: train/loss █▇▅▅▅▄▄▄▄▃▃▄▃▃▃▃▃▃▃▂▂▂▂▁▂▂▂▁▁▁▁▂▂▁▁▁▁▂▁▁ |
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wandb: train/total_flos ▁ |
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wandb: train/train_loss ▁ |
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wandb: train/train_runtime ▁ |
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wandb: train/train_samples_per_second ▁ |
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wandb: train/train_steps_per_second ▁ |
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wandb: |
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wandb: Run summary: |
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wandb: eval/f1_score 0.60982 |
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wandb: eval/label_f1 0.83694 |
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wandb: eval/loss 0.04444 |
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wandb: eval/runtime 457.7019 |
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wandb: eval/samples_per_second 2.185 |
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wandb: eval/steps_per_second 0.546 |
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wandb: eval/wer 0.10856 |
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wandb: train/epoch 8.94 |
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wandb: train/global_step 5000 |
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wandb: train/learning_rate 0.0 |
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wandb: train/loss 0.0297 |
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wandb: train/total_flos 1.9542812433710973e+20 |
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wandb: train/train_loss 0.03341 |
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wandb: train/train_runtime 46949.8286 |
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wandb: train/train_samples_per_second 13.632 |
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wandb: train/train_steps_per_second 0.106 |
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wandb: |
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wandb: 🚀 View run run-2024-01-04_16-16-03 at: https: |
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wandb: ️⚡ View job at https: |
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wandb: Synced 5 W&B file(s), 0 media file(s), 2 artifact file(s) and 0 other file(s) |
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wandb: Find logs at: ./wandb/run-20240104_161604-szfugz25/logs |
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