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--- |
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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-small-br |
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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-small-br |
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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: 0.5767 |
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- Wer: 39.9748 |
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- Cer: 15.0329 |
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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: 2e-05 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 200 |
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- training_steps: 4000 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 0.782 | 0.58 | 500 | 0.7847 | 61.4497 | 24.5285 | |
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| 0.3209 | 1.16 | 1000 | 0.6244 | 47.0028 | 17.7797 | |
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| 0.3041 | 1.74 | 1500 | 0.5578 | 45.1182 | 18.4874 | |
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| 0.1177 | 2.33 | 2000 | 0.5479 | 42.1620 | 16.4081 | |
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| 0.1234 | 2.91 | 2500 | 0.5353 | 41.6136 | 15.9008 | |
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| 0.0371 | 3.49 | 3000 | 0.5593 | 39.1428 | 14.7689 | |
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| 0.02 | 4.07 | 3500 | 0.5714 | 38.8591 | 14.7176 | |
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| 0.0115 | 4.65 | 4000 | 0.5767 | 39.9748 | 15.0329 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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