End of training
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- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +1 -1
README.md
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base_model: openai/whisper-large-v3
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tags:
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- generated_from_trainer
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model-index:
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- name: no-voice-clone-large-finetune
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results: []
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# no-voice-clone-large-finetune
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
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## Model description
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- training_steps: 1000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.45.2
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base_model: openai/whisper-large-v3
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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: no-voice-clone-large-finetune
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results: []
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# no-voice-clone-large-finetune
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4678
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- Wer: 18.7667
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## Model description
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- training_steps: 1000
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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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| 0.0528 | 1.8692 | 100 | 0.4677 | 20.6937 |
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| 0.0076 | 3.7383 | 200 | 0.4470 | 18.0848 |
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| 0.0012 | 5.6075 | 300 | 0.4580 | 18.0255 |
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| 0.0002 | 7.4766 | 400 | 0.4565 | 17.4326 |
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| 0.0001 | 9.3458 | 500 | 0.4601 | 18.7370 |
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| 0.0001 | 11.2150 | 600 | 0.4634 | 18.5295 |
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| 0.0 | 13.0841 | 700 | 0.4653 | 18.5888 |
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| 0.0 | 14.9533 | 800 | 0.4667 | 18.5591 |
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| 0.0 | 16.8224 | 900 | 0.4675 | 18.7963 |
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| 0.0 | 18.6916 | 1000 | 0.4678 | 18.7667 |
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### Framework versions
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- Transformers 4.45.2
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model-00001-of-00002.safetensors
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