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End of training
Browse files- README.md +21 -0
- 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-test
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results: []
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# no-voice-clone-large-finetune-test
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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: 2500
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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-test
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results: []
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# no-voice-clone-large-finetune-test
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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: 0.4622
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- Wer: 20.1897
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## Model description
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- training_steps: 2500
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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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| 0.0088 | 4.6729 | 250 | 0.5014 | 21.1681 |
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| 0.0079 | 9.3458 | 500 | 0.5158 | 29.2321 |
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| 0.0001 | 14.0187 | 750 | 0.4311 | 23.9253 |
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| 0.0 | 18.6916 | 1000 | 0.4457 | 20.5752 |
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| 0.0 | 23.3645 | 1250 | 0.4520 | 20.6048 |
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| 0.0 | 28.0374 | 1500 | 0.4560 | 20.1897 |
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| 0.0 | 32.7103 | 1750 | 0.4588 | 20.1601 |
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| 0.0 | 37.3832 | 2000 | 0.4607 | 20.1304 |
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| 0.0 | 42.0561 | 2250 | 0.4618 | 20.2490 |
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| 0.0 | 46.7290 | 2500 | 0.4622 | 20.1897 |
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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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