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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-a-nomimose-trial |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# whisper-a-nomimose-trial |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0481 |
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- Wer: 132.6667 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0004 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 132 |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:| |
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| 1.6555 | 1.0 | 109 | 0.8617 | 56.6667 | |
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| 0.154 | 2.0 | 218 | 0.2293 | 52.3333 | |
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| 0.0778 | 3.0 | 327 | 0.3132 | 63.3333 | |
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| 0.0633 | 4.0 | 436 | 0.1483 | 80.0 | |
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| 0.0503 | 5.0 | 545 | 0.3422 | 54.6667 | |
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| 0.0533 | 6.0 | 654 | 0.1111 | 186.0 | |
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| 0.0332 | 7.0 | 763 | 0.1978 | 101.0 | |
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| 0.0242 | 8.0 | 872 | 0.1586 | 62.0 | |
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| 0.0204 | 9.0 | 981 | 0.0867 | 59.3333 | |
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| 0.0191 | 10.0 | 1090 | 0.1203 | 179.0 | |
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| 0.0139 | 11.0 | 1199 | 0.0813 | 40.6667 | |
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| 0.0083 | 12.0 | 1308 | 0.0827 | 60.0 | |
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| 0.0052 | 13.0 | 1417 | 0.0945 | 131.3333 | |
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| 0.0055 | 14.0 | 1526 | 0.0923 | 182.6667 | |
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| 0.0055 | 15.0 | 1635 | 0.0937 | 152.6667 | |
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| 0.0045 | 16.0 | 1744 | 0.0532 | 117.6667 | |
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| 0.0024 | 17.0 | 1853 | 0.0575 | 126.3333 | |
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| 0.002 | 18.0 | 1962 | 0.0505 | 136.0 | |
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| 0.0022 | 19.0 | 2071 | 0.0491 | 136.3333 | |
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| 0.0013 | 19.8203 | 2160 | 0.0481 | 132.6667 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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