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End of training

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  1. README.md +6 -6
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@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0804
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  - Wer: 0.7863
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  ## Model description
@@ -54,11 +54,11 @@ 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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- | 26.7036 | 0.9091 | 40 | 27.8273 | 1.0 |
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- | 8.3609 | 1.8182 | 80 | 5.3806 | 1.0 |
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- | 1.976 | 2.7273 | 120 | 1.8119 | 0.9160 |
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- | 1.3051 | 3.6364 | 160 | 1.3559 | 0.7634 |
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- | 1.0115 | 4.5455 | 200 | 1.0804 | 0.7863 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3819
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  - Wer: 0.7863
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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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+ | 36.1644 | 0.9091 | 40 | 24.3079 | 1.0 |
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+ | 5.8058 | 1.8182 | 80 | 5.1572 | 0.8473 |
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+ | 2.9137 | 2.7273 | 120 | 2.4350 | 0.8779 |
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+ | 1.8303 | 3.6364 | 160 | 1.6639 | 0.8702 |
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+ | 1.3301 | 4.5455 | 200 | 1.3819 | 0.7863 |
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  ### Framework versions