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@@ -33,7 +33,7 @@ It was trained using a [synthetically created, annotated dataset](https://huggin
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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 second epoch, since it has the best accuracy:
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  | epoch | accuracy | loss |
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  |-------|-------------------|--------------------|
@@ -50,7 +50,7 @@ Training was conducted on a 10 epoch fine-tuning approach, however this reposito
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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 2 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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  ### 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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