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@@ -41,11 +41,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Medium GA-EN Speech Translation
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia, augmented with noise dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.1903
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- - Bleu: 32.01
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- - Chrf: 50.38
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- - Wer: 62.7645
 
 
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  ## Model description
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  # Whisper Medium GA-EN Speech Translation
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia, augmented with noise dataset.
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+ The datasets are augmented in two ways: noise augmentation, and truncating low-magnitude samples.
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+ The best model checkpoint (this version) based on ChrF is at step 2900, epoch 0.6349,
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+ and it achieves the following results on the evaluation set:
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+ - Loss: 1.1883
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+ - Bleu: 32.88
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+ - Chrf: 51.52
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+ - Wer: 62.0441
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  ## Model description
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