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README.md
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### Training
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Training was conducted on a 10 epoch fine-tuning approach, however this repository contains the results of the
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| epoch | accuracy | loss |
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In relation to the dataset, the model demonstrates that it can effectively learn to distinguish between the two classes claim and premise. However, the rapid onset of overfitting after epoch
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### Text Classification Tags
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### Training
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Training was conducted on a 10 epoch fine-tuning approach, however this repository contains the results of the fourth epoch, since it has the best accuracy:
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| epoch | accuracy | loss |
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|-------|-------------------|--------------------|
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In relation to the dataset, the model demonstrates that it can effectively learn to distinguish between the two classes claim and premise. However, the rapid onset of overfitting after epoch 4 suggests that the dataset is imbalanced and noisy. Further work should enable the model to be trained on more robust data to ensure better evaluation results.
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### Text Classification Tags
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