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@@ -9,6 +9,11 @@ metrics:
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  model-index:
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  - name: whisper-large-v3-turbo-gl-en
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  results: []
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,8 +21,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # whisper-large-v3-turbo-gl-en
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- This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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  - Loss: 0.9360
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  - Bleu: 55.6535
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@@ -76,4 +81,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.45.1
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  - Pytorch 2.4.1+cu121
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  - Datasets 3.0.1
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- - Tokenizers 0.20.0
 
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  model-index:
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  - name: whisper-large-v3-turbo-gl-en
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  results: []
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+ datasets:
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+ - juanjucm/OpenSLR-SpeechT-GL-EN
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+ language:
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+ - gl
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+ - en
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # whisper-large-v3-turbo-gl-en
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+ This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on [juanjucm/OpenSLR-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/OpenSLR-SpeechT-GL-EN).
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+ It achieves the following results on the test set:
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  - Loss: 0.9360
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  - Bleu: 55.6535
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  - Transformers 4.45.1
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  - Pytorch 2.4.1+cu121
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  - Datasets 3.0.1
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+ - Tokenizers 0.20.0