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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: 0.4194
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- - Wer: 16.8706
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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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- | 0.6698 | 0.71 | 30 | 0.4438 | 26.2514 |
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- | 0.2818 | 1.43 | 60 | 0.3862 | 17.4082 |
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- | 0.1736 | 2.14 | 90 | 0.3823 | 14.6274 |
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- | 0.0846 | 2.86 | 120 | 0.3899 | 15.7768 |
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- | 0.04 | 3.57 | 150 | 0.4078 | 18.5206 |
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- | 0.025 | 4.29 | 180 | 0.4031 | 15.6285 |
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- | 0.0115 | 5.0 | 210 | 0.4194 | 16.8706 |
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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: 0.4076
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+ - Wer: 12.3813
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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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+ | 0.6749 | 0.71 | 30 | 0.3798 | 17.3625 |
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+ | 0.26 | 1.43 | 60 | 0.3843 | 14.0477 |
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+ | 0.163 | 2.14 | 90 | 0.3617 | 12.5963 |
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+ | 0.0743 | 2.86 | 120 | 0.3539 | 13.2234 |
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+ | 0.0429 | 3.57 | 150 | 0.3883 | 14.4598 |
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+ | 0.024 | 4.29 | 180 | 0.4002 | 14.1014 |
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+ | 0.011 | 5.0 | 210 | 0.4076 | 12.3813 |
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  ### Framework versions
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