Comments (2)
Test your lr with different values, 5e-5, 5e-7, etc.
from ganbert-pytorch.
Test your lr with different values, 5e-5, 5e-7, etc.
Thank you so much for your reply! After I froze some weights from BERT(and tried several different lr) it is somehow working now on my own dataset. Maximum accuracy around 63%.
from ganbert-pytorch.
Related Issues (20)
- Number of discriminator output HOT 1
- Is it possible to obtain the text representation generated fake examples? HOT 1
- how do we use the trained model HOT 1
- Support for validation set instead of evaluating on test set directly. HOT 3
- Is the number of unlabeled examples related to the model accuracy? HOT 1
- Train Accuracy in evaluation mode is decreased by every epoch HOT 1
- Generator doesn't work HOT 2
- Gan BERT for Multilabel Intent Classification HOT 1
- Saving Best model during training
- Deploy the model to use with live data
- Normal distibution HOT 1
- Electra support HOT 2
- Feature matching loss HOT 1
- Accuracy problem HOT 1
- do you have tensorflow code?thankyou HOT 1
- Save and deploy Model HOT 1
- Model errors when tried to change the dataset HOT 2
- How to show some illustration after complete train model ? HOT 3
- Calculate F1 HOT 3
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from ganbert-pytorch.