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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: another_local |
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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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# another_local |
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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: 0.5372 |
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- Wer: 130.3266 |
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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: 1e-05 |
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- train_batch_size: 16 |
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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: 500 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.1972 | 1.6 | 500 | 0.4266 | 105.1927 | |
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| 0.033 | 3.19 | 1000 | 0.4507 | 209.0820 | |
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| 0.0167 | 4.79 | 1500 | 0.4738 | 96.0643 | |
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| 0.0052 | 6.39 | 2000 | 0.4948 | 143.7616 | |
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| 0.0035 | 7.99 | 2500 | 0.5144 | 126.8133 | |
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| 0.0047 | 9.58 | 3000 | 0.5273 | 133.8966 | |
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| 0.0033 | 11.18 | 3500 | 0.5349 | 137.8580 | |
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| 0.0026 | 12.78 | 4000 | 0.5372 | 130.3266 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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