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As is shown in the result, the performance of trained model is very unsatisfying. Actually, after 100 epochs valid loss and train loss is so close, simply improving number of epoch can do nothing to performance. My problem is are there any solutions to promote the performance of the model?
The text was updated successfully, but these errors were encountered:
I was not even able to reproduce these results. I trained a model with the same data and the loss definition and hyperparameters in the current commit, which seem to be the ones used to train the for the provided model in the README, but my results after 250 epochs are way worst than this.
As is shown in the result, the performance of trained model is very unsatisfying. Actually, after 100 epochs valid loss and train loss is so close, simply improving number of epoch can do nothing to performance. My problem is are there any solutions to promote the performance of the model?
The text was updated successfully, but these errors were encountered: