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@@ -21,7 +21,7 @@ This is a fine-tuned version of the [Whisper Tiny](https://huggingface.co/openai
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  This model was carefully trained on a dataset of **Kalaallisut** audio files paired with transcriptions. Special care was taken to avoid overfitting, which occurred in earlier versions of this fine-tuning process. After reworking the training approach, including tweaking hyperparameters and employing early stopping to monitor model performance, the final **Word Error Rate (WER)** was reduced significantly to:
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- - **Final Validation WER: 7.62%**
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  ### ⚙️ Features and Improvements
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@@ -31,8 +31,8 @@ This model was carefully trained on a dataset of **Kalaallisut** audio files pai
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  ### 📊 Performance Metrics
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- - **Word Error Rate (WER)**: 7.62%
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- - **Train Loss**: 6.69 after 5 epochs
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  ### How to Use
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  This model was carefully trained on a dataset of **Kalaallisut** audio files paired with transcriptions. Special care was taken to avoid overfitting, which occurred in earlier versions of this fine-tuning process. After reworking the training approach, including tweaking hyperparameters and employing early stopping to monitor model performance, the final **Word Error Rate (WER)** was reduced significantly to:
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+ - **Final Validation WER: 0.95%%**
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  ### ⚙️ Features and Improvements
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  ### 📊 Performance Metrics
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+ - **Word Error Rate (WER)**: 0.95%%
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+ - **Train Loss**: 1.93 after 5 epochs
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  ### How to Use
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