fabianzeiher commited on
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update model description to fit checkpoint

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  1. README.md +6 -6
README.md CHANGED
@@ -20,8 +20,8 @@ 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 None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3667
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- - Wer: 23.7961
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  ## Model description
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@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - training_steps: 4000
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 0.5426 | 10.36 | 4000 | 0.3667 | 23.7961 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.30
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+ - Wer: 20.66
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - training_steps: 1500
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Step | Validation Loss | Wer |
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+ |:-------------:|:----:|:---------------:|:-------:|
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+ | 0.5426 | 1500 | 0.30 | 20.66 |
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  ### Framework versions