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End of training

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README.md CHANGED
@@ -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-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9259
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  ## Model description
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@@ -48,7 +48,7 @@ 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_ratio: 0.1
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- - num_epochs: 4
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  - mixed_precision_training: Native AMP
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  ### Training results
@@ -57,7 +57,7 @@ The following hyperparameters were used during training:
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  |:-------------:|:-----:|:-----:|:---------------:|
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  | 1.0115 | 1.0 | 2500 | 1.0421 |
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  | 0.7221 | 3.0 | 7500 | 0.9296 |
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- | 0.5582 | 4.0 | 10000 | 0.9259 |
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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 Common Voice 16.1 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9338
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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_ratio: 0.1
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+ - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  |:-------------:|:-----:|:-----:|:---------------:|
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  | 1.0115 | 1.0 | 2500 | 1.0421 |
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  | 0.7221 | 3.0 | 7500 | 0.9296 |
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+ | 0.4991 | 5.0 | 12500 | 0.9338 |
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  ### Framework versions
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