HLTCHKUST / PAML

Personalizing Dialogue Agents via Meta-Learning
MIT License
126 stars 24 forks source link

wanting for help #7

Open xhc19930714 opened 5 years ago

xhc19930714 commented 5 years ago

today, I change a new computer to rebuild your code. But unfortunately, I met with almost the same question as before. When I am in the root directory, I run the following command(python main_fine_tune.py --cuda --model trs --batch_size 32 --use_sgd --lr 0.01 --meta_lr 0.0003 --meta_batch_size 32 --meta_optimizer adam --pretrain_emb --weight_sharing --emb_dim 300 --hidden_dim 300 --pointer_gen --save_path save/paml/${model} --save_path_dataset save/paml/ --test). Then something happened. It stopped at 49 percent of whole process, image. Then I saw the following image. So I think perhaps there is no bert-base-uncased-model there, then I downloaded it manually. So where should I put it? in the directory data\nli_model? Then I put it in the directory data\nli_model. Then the code ran pass the 49 percent, but this time at the 72 percent, the terminal prints the same information as before, imageCan you help me fix this, bro?

ha-lins commented 4 years ago

Update:

I recreate a new virtual environment and install the requirement, and then it work!

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Same issue, is there any solution?Thanks!