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Hi, I find your accuracy is calculated on training data, but generally we evaluate the model on test data. I get the accuracy from test data and the result is not that good, is there anything wrong?
The text was updated successfully, but these errors were encountered:
Hi there, for semeval task the model is evaluated on test data. However for pre-training, there is no test data as the pre-training is self-supervised. You were probably looking at the code for pre-training.
Also the accuracy is evaluated on a multi-class > 2 dataset, so the baseline accuracy is not 0.5. You can use F1 for a better comparison
Hi, I find your accuracy is calculated on training data, but generally we evaluate the model on test data. I get the accuracy from test data and the result is not that good, is there anything wrong?
The text was updated successfully, but these errors were encountered: