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@@ -17,11 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Small GA-EN Speech Translation
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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: 1.4049
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- - Bleu: 26.13
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- - Chrf: 43.65
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- - Wer: 76.9923
 
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  ## Model description
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@@ -64,11 +65,11 @@ The following hyperparameters were used during training:
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  | 0.9166 | 0.86 | 800 | 26.87 | 43.16 | 1.4104 | 71.3192 |
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  | 0.848 | 0.97 | 900 | 25.95 | 42.61 | 1.3556 | 75.6866 |
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  | 0.3712 | 1.08 | 1000 | 22.4 | 41.02 | 1.3936 | 87.2580 |
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- | 0.4415 | 1.19 | 1100 | 1.4157| 28.13 | 43.0 | 68.0324 |
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- | 0.4166 | 1.29 | 1200 | 1.4206| 27.75 | 44.39 | 71.1391 |
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- | 0.387 | 1.4 | 1300 | 1.4083| 28.48 | 44.44 | 69.4282 |
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- | 0.3714 | 1.51 | 1400 | 1.3989| 28.53 | 44.93 | 68.1675 |
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- | 0.3695 | 1.62 | 1500 | 1.4049| 26.13 | 43.65 | 76.9923 |
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  ### Framework versions
 
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  # Whisper Small GA-EN Speech Translation
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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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+ The best model is at checkpoint 1400, epoch 1.51, and it achieves the following results on the evaluation set:
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+ - Loss: 1.3989
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+ - Bleu: 28.53
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+ - Chrf: 44.93
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+ - Wer: 68.1675
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+
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  ## Model description
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  | 0.9166 | 0.86 | 800 | 26.87 | 43.16 | 1.4104 | 71.3192 |
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  | 0.848 | 0.97 | 900 | 25.95 | 42.61 | 1.3556 | 75.6866 |
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  | 0.3712 | 1.08 | 1000 | 22.4 | 41.02 | 1.3936 | 87.2580 |
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+ | 0.4415 | 1.19 | 1100 | 28.13 | 43.0 | 1.4157 | 68.0324 |
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+ | 0.4166 | 1.29 | 1200 | 27.75 | 44.39 | 1.4206 | 71.1391 |
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+ | 0.387 | 1.4 | 1300 | 28.48 | 44.44 | 1.4083 | 69.4282 |
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+ | 0.3714 | 1.51 | 1400 | 28.53 | 44.93 | 1.3989 | 68.1675 |
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+ | 0.3695 | 1.62 | 1500 | 26.13 | 43.65 | 1.4049 | 76.9923 |
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  ### Framework versions