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End of training

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README.md CHANGED
@@ -2,11 +2,11 @@
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  language:
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  - nl
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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  metrics:
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  - wer
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- base_model: openai/whisper-large-v2
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  model-index:
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  - name: Whisper Large V2
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  results: []
@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4187
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- - Wer: 18.2001
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  ## Model description
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@@ -52,13 +52,13 @@ 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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- | 0.6744 | 0.71 | 30 | 0.4187 | 15.6079 |
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- | 0.2734 | 1.43 | 60 | 0.3785 | 13.9467 |
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- | 0.1699 | 2.14 | 90 | 0.3904 | 13.7459 |
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- | 0.0806 | 2.86 | 120 | 0.3817 | 12.6871 |
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- | 0.0436 | 3.57 | 150 | 0.3985 | 13.0522 |
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- | 0.0245 | 4.29 | 180 | 0.4109 | 17.6707 |
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- | 0.0117 | 5.0 | 210 | 0.4187 | 18.2001 |
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  ### Framework versions
 
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  language:
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  - nl
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  license: apache-2.0
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+ base_model: openai/whisper-large-v2
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  tags:
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  - generated_from_trainer
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  metrics:
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  - wer
 
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  model-index:
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  - name: Whisper Large V2
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  results: []
 
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  This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3707
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+ - Wer: 12.5219
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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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+ | 0.6724 | 0.71 | 30 | 0.3868 | 19.2016 |
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+ | 0.2748 | 1.43 | 60 | 0.3584 | 15.3846 |
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+ | 0.1701 | 2.14 | 90 | 0.3415 | 13.5346 |
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+ | 0.0814 | 2.86 | 120 | 0.3366 | 13.3398 |
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+ | 0.0419 | 3.57 | 150 | 0.3567 | 13.3982 |
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+ | 0.0254 | 4.29 | 180 | 0.3627 | 12.7167 |
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+ | 0.0124 | 5.0 | 210 | 0.3707 | 12.5219 |
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  ### Framework versions
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