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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-fine-tuned |
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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-fine-tuned |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.1515 |
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- Wer: 1.0004 |
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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: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 500 |
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- training_steps: 5000 |
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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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| 2.1863 | 1.6393 | 500 | 3.5257 | 0.9991 | |
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| 1.4263 | 3.2787 | 1000 | 4.2011 | 1.0383 | |
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| 1.1951 | 4.9180 | 1500 | 4.1093 | 0.9934 | |
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| 0.8698 | 6.5574 | 2000 | 4.3517 | 1.7507 | |
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| 0.7181 | 8.1967 | 2500 | 4.5794 | 1.2076 | |
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| 0.718 | 9.8361 | 3000 | 4.6911 | 1.2960 | |
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| 0.5776 | 11.4754 | 3500 | 4.8927 | 1.0814 | |
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| 0.624 | 13.1148 | 4000 | 4.9520 | 1.1319 | |
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| 0.5781 | 14.7541 | 4500 | 5.0590 | 0.9934 | |
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| 0.5189 | 16.3934 | 5000 | 5.1515 | 1.0004 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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