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update model card README.md

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  1. README.md +4 -4
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@@ -16,7 +16,7 @@ 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](https://huggingface.co/openai/whisper-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5835
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  - Wer: 24.8548
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  - Cer: 8.2429
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@@ -38,13 +38,13 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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- - train_batch_size: 1
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- - eval_batch_size: 2
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  - seed: 42
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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: 35000
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5826
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  - Wer: 24.8548
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  - Cer: 8.2429
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 3
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  - seed: 42
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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: 45000
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  - mixed_precision_training: Native AMP
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  ### Training results