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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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### ⚙️ Features and Improvements
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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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1.81%
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### ⚙️ Features and Improvements
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