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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: .27150380339379755
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  pipeline_tag: automatic-speech-recognition
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  ---
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@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6834
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- - Wer Ortho: .280025
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- - Wer: .271504
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  ## Model description
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@@ -66,7 +66,7 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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- | 0.0007 | 17.86 | 500 | 0.6834 | .280025 | .271504 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.27150380339379755
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  pipeline_tag: automatic-speech-recognition
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  ---
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6834
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+ - Wer Ortho: 0.280025
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+ - Wer: 0.271504
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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+ | 0.0007 | 17.86 | 500 | 0.6834 | 0.280025 | 0.271504 |
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  ### Framework versions