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End of training

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README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3434
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- - Wer: 30.6658
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- - Bleu: 70.1070
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  ## Model description
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@@ -57,11 +57,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Bleu |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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- | 0.6437 | 1.0 | 131 | 0.5877 | 38.9863 | 55.0646 |
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- | 0.1773 | 2.0 | 262 | 0.4173 | 35.4619 | 65.1019 |
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- | 0.5521 | 3.0 | 393 | 0.3602 | 27.1687 | 69.0765 |
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- | 0.1255 | 4.0 | 524 | 0.3463 | 25.5246 | 70.7943 |
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- | 0.1548 | 5.0 | 655 | 0.3434 | 30.6658 | 70.1070 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7308
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+ - Wer: 38.0570
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+ - Bleu: 49.2006
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Bleu |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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+ | 0.3055 | 1.0 | 150 | 0.6858 | 40.7110 | 47.7920 |
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+ | 0.0999 | 2.0 | 300 | 0.6642 | 39.1055 | 49.8681 |
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+ | 0.0378 | 3.0 | 450 | 0.6819 | 38.6959 | 49.8621 |
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+ | 0.013 | 4.0 | 600 | 0.7134 | 37.6147 | 50.9676 |
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+ | 0.014 | 5.0 | 750 | 0.7308 | 38.0570 | 49.2006 |
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  ### Framework versions
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