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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-base.en |
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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: finetune-whisper-base.en |
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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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# finetune-whisper-base.en |
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This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3797 |
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- Wer Ortho: 12.8163 |
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- Wer: 9.1352 |
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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: 16 |
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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: 50 |
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- training_steps: 500 |
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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 Ortho | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:------:| |
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| 0.7801 | 0.8065 | 100 | 0.3812 | 13.3555 | 9.4194 | |
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| 0.2817 | 1.6129 | 200 | 0.3647 | 12.5674 | 9.1352 | |
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| 0.1853 | 2.4194 | 300 | 0.3705 | 12.7748 | 8.8510 | |
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| 0.146 | 3.2258 | 400 | 0.3738 | 12.5674 | 9.0946 | |
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| 0.1097 | 4.0323 | 500 | 0.3797 | 12.8163 | 9.1352 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.19.1 |
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