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@@ -8,6 +8,9 @@ tags:
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  base_model: openai/whisper-small
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  datasets:
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  - mozilla-foundation/common_voice_17_0
 
 
 
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  metrics:
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  - wer
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  model-index:
@@ -69,7 +72,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Small Mixed-Spanish
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_17_0 es dataset.
 
 
 
 
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1809
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  - Wer: 8.6345
@@ -117,4 +125,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.42.0.dev0
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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- - Tokenizers 0.19.1
 
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  base_model: openai/whisper-small
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  datasets:
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  - mozilla-foundation/common_voice_17_0
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+ - google/fleurs
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+ - facebook/multilingual_librispeech
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+ - facebook/voxpopuli
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  metrics:
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  - wer
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  model-index:
 
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  # Whisper Small Mixed-Spanish
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the es datasets:
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+ - mozilla-foundation/common_voice_17_0
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+ - google/fleurs
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+ - facebook/multilingual_librispeech
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+ - facebook/voxpopuli
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+
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1809
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  - Wer: 8.6345
 
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  - Transformers 4.42.0.dev0
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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+ - Tokenizers 0.19.1