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End of training

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README.md CHANGED
@@ -24,7 +24,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 13.655805542998225
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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
@@ -34,9 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1741
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- - Wer Ortho: 63.3888
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- - Wer: 13.6558
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  ## Model description
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@@ -69,7 +69,7 @@ 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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- | 0.1209 | 1.6287 | 500 | 0.1741 | 63.3888 | 13.6558 |
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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: 13.426296206141114
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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-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1728
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+ - Wer Ortho: 64.2802
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+ - Wer: 13.4263
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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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+ | 0.1221 | 1.6287 | 500 | 0.1728 | 64.2802 | 13.4263 |
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  ### Framework versions
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