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