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End of training

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  1. README.md +5 -5
  2. generation_config.json +1 -88
README.md CHANGED
@@ -25,7 +25,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 19.606834676267216
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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
@@ -35,9 +35,9 @@ 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: 0.4405
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- - Wer Ortho: 24.4297
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- - Wer: 19.6068
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  ## Model description
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@@ -70,7 +70,7 @@ 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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- | 0.2059 | 0.4 | 500 | 0.4405 | 24.4297 | 19.6068 |
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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: 19.387774539497496
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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: 0.4177
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+ - Wer Ortho: 24.2994
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+ - Wer: 19.3878
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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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+ | 0.3437 | 0.4 | 500 | 0.4177 | 24.2994 | 19.3878 |
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  ### Framework versions
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