Comments (3)
You just have to make a custom dataset in PyTorch just like in dataloader.py
if you are trying with a different paraphrase dataset. You can see in train_*.py
files that show how to evaluate the model or how to get predicted paraphrase.
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Hi @dev-chauhan ,
Can you pls tell me if it is possible to use a different test dataset on your pretrained model or do i need to retrain the model?
Thank you.
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You have to train the model first, the model will be saved in a directory "save" with .pt extension(have to create this, as mentioned in the README), then use checkpoint to load model and evaluate your dataset. I tried it, but output doesn't work well. If you get any solution kindly post here too
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Related Issues (8)
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