nocturneFlow commited on
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End of training

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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: 27.064871812216733
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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
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Fleurs dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2581
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- - Wer: 27.0649
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  ## Model description
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@@ -69,11 +69,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 0.8313 | 1.0 | 200 | 0.3977 | 44.0371 |
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- | 0.489 | 2.0 | 400 | 0.2842 | 31.9894 |
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- | 0.2973 | 3.0 | 600 | 0.2600 | 28.1404 |
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- | 0.2323 | 4.0 | 800 | 0.2551 | 27.0919 |
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- | 0.1469 | 5.0 | 1000 | 0.2581 | 27.0649 |
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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: 22.28911587634445
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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 Fleurs dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2814
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+ - Wer: 22.2891
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.3714 | 1.0 | 200 | 0.2556 | 23.7164 |
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+ | 0.2797 | 2.0 | 400 | 0.2565 | 23.1212 |
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+ | 0.1609 | 3.0 | 600 | 0.2644 | 22.2688 |
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+ | 0.084 | 4.0 | 800 | 0.2738 | 22.3906 |
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+ | 0.059 | 5.0 | 1000 | 0.2814 | 22.2891 |
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  ### Framework versions
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