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README.md
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This model is a fine-tuned version of [hts98/whisper-medium-1113](https://huggingface.co/hts98/whisper-medium-1113) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 100.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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| 0.0803 | 2.4 | 60 | 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.0+cu117
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- Datasets 2.7.0
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- Tokenizers 0.13.3
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This model is a fine-tuned version of [hts98/whisper-medium-1113](https://huggingface.co/hts98/whisper-medium-1113) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2595
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- Wer: 100.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-----:|
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| 0.2081 | 1.2 | 30 | 0.2595 | 100.0 |
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| 0.0803 | 2.4 | 60 | 0.2897 | 100.0 |
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| 0.0421 | 3.6 | 90 | 0.3009 | 100.0 |
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| 0.0207 | 4.8 | 120 | 0.3233 | 100.0 |
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| 0.0091 | 6.0 | 150 | 0.3221 | 100.0 |
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| 0.0043 | 7.2 | 180 | 0.3213 | 100.0 |
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### Framework versions
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- Transformers 4.29.0.dev0
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- Pytorch 2.0.0+cu117
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- Datasets 2.7.0
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- Tokenizers 0.13.3
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