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update model card README.md

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  ---
 
 
 
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  tags:
 
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  - generated_from_trainer
 
 
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  model-index:
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- - name: whisper-small-ml
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # whisper-small-ml
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- This model was trained from scratch on an unknown dataset.
 
 
 
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  ## Model description
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@@ -40,6 +49,18 @@ The following hyperparameters were used during training:
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  - training_steps: 3000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.26.0.dev0
 
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  ---
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+ language:
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+ - ml
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+ license: apache-2.0
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  tags:
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+ - whisper-event
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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 Small ML - Bharat Ramanathan
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Whisper Small ML - Bharat Ramanathan
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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: 0.2308
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+ - Wer: 36.7397
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  ## Model description
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  - training_steps: 3000
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.1275 | 4.03 | 500 | 0.1630 | 35.4015 |
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+ | 0.09 | 9.02 | 1000 | 0.1821 | 40.0243 |
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+ | 0.062 | 14.01 | 1500 | 0.2004 | 37.7129 |
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+ | 0.0441 | 19.0 | 2000 | 0.2105 | 36.2530 |
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+ | 0.0335 | 23.03 | 2500 | 0.2250 | 37.7129 |
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+ | 0.0276 | 28.02 | 3000 | 0.2308 | 36.7397 |
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+
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+
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  ### Framework versions
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  - Transformers 4.26.0.dev0