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End of training

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0670
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- - Wer Score: 0.7320
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer Score |
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  |:-------------:|:-------:|:----:|:---------------:|:---------:|
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- | 13.3065 | 8.3636 | 50 | 4.6445 | 25.2222 |
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- | 5.1534 | 16.7273 | 100 | 1.0458 | 11.4575 |
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- | 0.8356 | 25.0 | 150 | 0.1353 | 0.6797 |
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- | 0.1306 | 33.3636 | 200 | 0.0711 | 0.6601 |
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- | 0.0525 | 41.7273 | 250 | 0.0670 | 0.7320 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0685
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+ - Wer Score: 0.6303
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer Score |
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  |:-------------:|:-------:|:----:|:---------------:|:---------:|
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+ | 13.3363 | 8.3636 | 50 | 4.6384 | 23.4121 |
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+ | 5.1236 | 16.7273 | 100 | 1.0342 | 10.4485 |
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+ | 0.8189 | 25.0 | 150 | 0.1376 | 1.1515 |
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+ | 0.129 | 33.3636 | 200 | 0.0735 | 0.6545 |
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+ | 0.0538 | 41.7273 | 250 | 0.0685 | 0.6303 |
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  ### Framework versions