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--- |
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library_name: peft |
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language: |
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- it |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- generated_from_trainer |
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datasets: |
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- b-brave-clean |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: b-brave-clean |
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type: b-brave-clean |
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config: default |
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split: test |
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args: default |
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metrics: |
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- type: wer |
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value: 37.106017191977074 |
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name: Wer |
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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 Medium |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the b-brave-clean dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4423 |
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- Wer: 37.1060 |
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- Cer: 27.9222 |
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- Lr: 0.0000 |
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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: 0.0003 |
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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_ratio: 0.3 |
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- num_epochs: 16 |
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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 | Cer | Lr | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|:------:| |
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| 3.8497 | 1.0 | 168 | 2.1950 | 120.4871 | 80.3257 | 0.0001 | |
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| 1.0999 | 2.0 | 336 | 0.8517 | 88.6819 | 73.6538 | 0.0001 | |
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| 0.7773 | 3.0 | 504 | 0.7060 | 224.9284 | 212.4245 | 0.0002 | |
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| 0.5742 | 4.0 | 672 | 0.5562 | 50.1433 | 34.0163 | 0.0002 | |
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| 0.3652 | 5.0 | 840 | 0.5426 | 103.2951 | 88.8101 | 0.0003 | |
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| 0.2244 | 6.0 | 1008 | 0.5211 | 100.2865 | 66.5353 | 0.0003 | |
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| 0.1522 | 7.0 | 1176 | 0.4991 | 48.9971 | 35.5398 | 0.0002 | |
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| 0.0863 | 8.0 | 1344 | 0.4682 | 39.1117 | 28.3951 | 0.0002 | |
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| 0.0472 | 9.0 | 1512 | 0.4743 | 44.1261 | 30.9693 | 0.0002 | |
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| 0.021 | 10.0 | 1680 | 0.4590 | 40.5444 | 29.1305 | 0.0002 | |
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| 0.0106 | 11.0 | 1848 | 0.4460 | 37.3926 | 27.1868 | 0.0001 | |
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| 0.0053 | 12.0 | 2016 | 0.4420 | 36.6762 | 27.4494 | 0.0001 | |
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| 0.0034 | 13.0 | 2184 | 0.4395 | 37.9656 | 28.4476 | 0.0001 | |
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| 0.0021 | 14.0 | 2352 | 0.4398 | 36.8195 | 27.6596 | 0.0001 | |
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| 0.0023 | 15.0 | 2520 | 0.4422 | 37.1060 | 27.9222 | 0.0000 | |
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| 0.0021 | 15.9075 | 2672 | 0.4423 | 37.1060 | 27.9222 | 0.0000 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.3 |
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- Pytorch 2.2.0 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
