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End of training

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  ---
 
 
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  license: apache-2.0
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  base_model: openai/whisper-small
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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-en
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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-en
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -42,6 +62,22 @@ The following hyperparameters were used during training:
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  - training_steps: 5000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.41.1
 
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  ---
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+ language:
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+ - en
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - UCLASS
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+ metrics:
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+ - wer
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  model-index:
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+ - name: Whisper Small En - Sridhar Vanga
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: sridhar1ga/UCLASS
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+ type: UCLASS
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+ args: 'config: en'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 41.49512459371614
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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 En - Sridhar Vanga
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the sridhar1ga/UCLASS dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0974
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+ - Wer: 41.4951
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  ## Model description
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  - training_steps: 5000
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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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+ | 0.0513 | 18.5185 | 500 | 1.5771 | 61.3218 |
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+ | 0.0056 | 37.0370 | 1000 | 1.8013 | 42.1452 |
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+ | 0.0089 | 55.5556 | 1500 | 1.8905 | 65.0054 |
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+ | 0.0054 | 74.0741 | 2000 | 1.7860 | 44.9621 |
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+ | 0.0016 | 92.5926 | 2500 | 1.9571 | 41.9285 |
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+ | 0.0001 | 111.1111 | 3000 | 2.0281 | 41.0618 |
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+ | 0.0001 | 129.6296 | 3500 | 2.0595 | 41.9285 |
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+ | 0.0001 | 148.1481 | 4000 | 2.0805 | 41.3868 |
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+ | 0.0001 | 166.6667 | 4500 | 2.0927 | 41.4951 |
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+ | 0.0001 | 185.1852 | 5000 | 2.0974 | 41.4951 |
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+
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+
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  ### Framework versions
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  - Transformers 4.41.1