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@@ -38,7 +38,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Large GA-EN Speech Translation
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  This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia 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 3000, epoch 0.99,
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  and it achieves the following results on the evaluation set:
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  - Loss: 1.1742
 
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  # Whisper Large GA-EN Speech Translation
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  This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia dataset.
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+ The datasets are augmented in two ways: noise augmentation, and truncating low-amplitude samples.
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  The best model checkpoint (this version) based on ChrF is at step 3000, epoch 0.99,
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  and it achieves the following results on the evaluation set:
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  - Loss: 1.1742