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End of training

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@@ -20,8 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the AIHub_non-face-to-face-care_data dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4912
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- - Cer: 91.8336
 
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Cer |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.6823 | 2.5 | 1000 | 0.7204 | 132.6730 |
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- | 0.4639 | 5.0 | 2000 | 0.4857 | 100.1325 |
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- | 0.3418 | 7.5 | 3000 | 0.4912 | 91.8336 |
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- | 0.2379 | 10.0 | 4000 | 0.5247 | 93.3505 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the AIHub_non-face-to-face-care_data dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5251
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+ - Cer: 91.7452
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+ - Normalized Cer: 0.1147
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Cer | Normalized Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------:|
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+ | 0.6825 | 2.5 | 1000 | 0.7206 | 125.5376 | 0.1569 |
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+ | 0.4637 | 5.0 | 2000 | 0.4858 | 96.4728 | 0.1206 |
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+ | 0.34 | 7.5 | 3000 | 0.4926 | 92.8792 | 0.1161 |
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+ | 0.2378 | 10.0 | 4000 | 0.5251 | 91.7452 | 0.1147 |
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  ### Framework versions