ganbert-pytorch
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Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
I see you only evaluate the test set in each epoch, can we add a validation set, with early stopping criteria based on the results/loss on this validation set? this...
Hi thanks for the great demo, i am confused how to use the trained model however..
Hi, How are you? Thanks for this great work. I have one question: I ran the pytorch code and the generator doesn't work. It means: only model learned and saved,...
Is there any way to use an electra bert model with this?
I have been trying to test and use the model. I am unable to create a function out of the model to try and generate a prediction for real/new/live data....
Hi, Thanks for the amazing research and the code implementation, is there any way to use this package for multi label intent classification ?
Hi, this is super useful thanks. Is there a way to save the best model during the training? I tried to follow your AILC_Lectures_2021_Training_BERT_based_models_in_few_lines_of_code.ipynb, but it is not working here...
Thanks for the excellent project! I'm new to GAN and was trying to reproduce the results(reported in the paper) for the 20News dataset. However, my testing accuracy stuck at about...