End of training
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README.md
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metrics:
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- name: Wer
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type: wer
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value:
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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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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Wer:
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- Cer:
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer
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| 0.0001 | 18.1818 | 5000 | 1.
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### Framework versions
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metrics:
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- name: Wer
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type: wer
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value: 96.9298245614035
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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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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1626
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- Wer: 96.9298
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- Cer: 30.1452
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|:-------:|
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| 0.106 | 3.6364 | 1000 | 0.8017 | 110.0877 | 37.4445 |
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| 0.0094 | 7.2727 | 2000 | 0.9844 | 101.9424 | 37.1209 |
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| 0.0007 | 10.9091 | 3000 | 1.0714 | 95.8020 | 31.5374 |
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| 0.0002 | 14.5455 | 4000 | 1.1310 | 96.0526 | 29.5809 |
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| 0.0001 | 18.1818 | 5000 | 1.1626 | 96.9298 | 30.1452 |
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### Framework versions
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model.safetensors
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