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@@ -8,6 +8,13 @@ metrics:
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  model-index:
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  - name: msc_imasc_openslr_festfox_Whisper_Medium
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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
@@ -15,8 +22,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # msc_imasc_openslr_festfox_Whisper_Medium
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- This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
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- It achieves the following results on the evaluation set:
 
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  - Loss: 0.0318
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  - Wer: 14.7300
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@@ -64,4 +72,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.37.2
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  - Pytorch 2.1.1+cu121
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  - Datasets 2.16.1
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- - Tokenizers 0.15.1
 
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  model-index:
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  - name: msc_imasc_openslr_festfox_Whisper_Medium
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  results: []
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+ datasets:
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+ - thennal/IMaSC
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+ - vrclc/openslr63
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+ - vrclc/festvox-iiith-ml
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+ - smcproject/MSC
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+ language:
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+ - ml
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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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  # msc_imasc_openslr_festfox_Whisper_Medium
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the datasets .
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+
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+ It achieves the following results on the validation set :
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  - Loss: 0.0318
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  - Wer: 14.7300
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  - Transformers 4.37.2
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  - Pytorch 2.1.1+cu121
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  - Datasets 2.16.1
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+ - Tokenizers 0.15.1