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update model card README.md

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@@ -16,13 +16,13 @@ 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 10th_science_tamil_to_english dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 4.1630
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- - eval_wer: 144.0196
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- - eval_runtime: 193.3064
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- - eval_samples_per_second: 2.007
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- - eval_steps_per_second: 0.129
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- - epoch: 15.01
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- - step: 4200
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  ## Model description
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@@ -49,7 +49,7 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 64
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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: 1400
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  - training_steps: 5000
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  - mixed_precision_training: Native AMP
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the 10th_science_tamil_to_english dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 4.1847
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+ - eval_wer: 175.7103
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+ - eval_runtime: 219.4087
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+ - eval_samples_per_second: 1.768
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+ - eval_steps_per_second: 0.114
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+ - epoch: 7.01
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+ - step: 4500
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  ## Model description
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  - total_train_batch_size: 64
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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: 5000
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  - mixed_precision_training: Native AMP
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