kingabzpro
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Update README.md
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README.md
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@@ -55,6 +55,7 @@ It achieves the following results on the evaluation set:
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- Wer: 0.2992
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- Cer: 0.0786
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## Evaluation
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@@ -109,7 +110,9 @@ print("CER: {}".format(cer.compute(predictions=result["pred_strings"], reference
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```
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**WER: 0.5209850206372026**
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**CER: 0.17902923538230883**
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### Training hyperparameters
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The following hyperparameters were used during training:
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- Wer: 0.2992
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- Cer: 0.0786
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View the results on Kaggle Notebook: https://www.kaggle.com/code/kingabzpro/wav2vec-2-eval
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## Evaluation
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```
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**WER: 0.5209850206372026**
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**CER: 0.17902923538230883**
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### Training hyperparameters
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The following hyperparameters were used during training:
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