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@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 34.76977567886659
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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
@@ -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 minds14 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6439
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- - Wer Ortho: 35.0401
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- - Wer: 34.7698
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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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- | 0.001 | 17.24 | 500 | 0.6439 | 35.0401 | 34.7698 |
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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: 0.3476977567886659
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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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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the minds14 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6439
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+ - Wer Ortho: 0.350401
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+ - Wer: 0.347698
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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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+ | 0.001 | 17.24 | 500 | 0.6439 | 0.350401 | 0.347698|
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  ### Framework versions