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But I got the best scores 0.5152, 0.5152. This is the log. Seems that training loss does not decrease.
My implementation environment is python 3.6.9, torch 1.6.0, torchvision 0.7.0 and cuda 10.2.
It's really confused. Appreciate your help!
The text was updated successfully, but these errors were encountered:
Line 274 of your first log: | no existing checkpoint found pretrained/roberta.large/model.pt
You need to download the pretrained RoBERTa model from here and put it under this path.
Hi!Thanks for your great repo.
I tried the script in fairseq-RoBERTa/launch/FreeLB/rte-fp32-clip.sh and used the same setting as that in Issue #11 .
But I got the best scores
0.5152, 0.5152
. This is the log. Seems that training loss does not decrease.My implementation environment is python 3.6.9, torch 1.6.0, torchvision 0.7.0 and cuda 10.2.
It's really confused. Appreciate your help!
The text was updated successfully, but these errors were encountered: