Problem while loading BERT pre-trained model for the NLI-Scorer

[xhc19930714]

sorry to bother you. I need your help. when I run the command(python MAML.py --cuda --model trs --batch_size 16 --use_sgd --lr 0.01 --meta_lr 0.0003 --meta_batch_size 16 --meta_optimizer adam --pretrain_emb --weight_sharing --emb_dim 300 --hidden_dim 300 --fix_dialnum_train --pointer_gen --save_path save/paml/)
I got the following result

so, can you give me some advice on fixing the problem? thx.

[xhc19930714]

the last error was found in /PAML/utils/load_bert.py", line 325, in init

[andreamad8]

Have you downloaded the BERT pre-trained model?
https://drive.google.com/file/d/1Qawz1pMcV0aGLVYzOgpHPgG5vLSKPOJ1/view?usp=sharing

[xhc19930714]

Yes, I have already downloaded the BERT pre-trained model and followed your instructions to put the model in the /PAML/data/nli_model/

[xhc19930714]

Did you mean this file?

[andreamad8]

yes, I mean the pytorch_model.bin which yes should be inside the nli_model folder.

So, we never had this error, could you add print(model) before model.to(self.device) this shouldn't be None.

Maybe a version problem? we tested pytorch 4.* and 1.0

[xhc19930714]

I use conda create command to create an environment, then I run the pip install -r requirements.txt to match your dependencies, and I checked my torch version is 0.4.1.

[qiangqiang-he]

I need help.When I trained successfully.I want to fine-tuned.>>>>[python main_fine_tune.py --cuda --model trs --batch_size 16 --use_sgd --lr 0.01 --meta_lr 0.0003 --meta_batch_size 16 --meta_optimizer adam --pretrain_emb --weight_sharing --emb_dim 300 --hidden_dim 300 --pointer_gen --persona --save_path save/persona/${model} --save_path_dataset save/persona/ --test]
It generates error.IsADirectoryError:is a directory:'save/persona'.Even if I checked that 'save/persona' is existed.

I need help.When I trained successfully.I want to fine-tuned.>>>>[python main_fine_tune.py --cuda --model trs --batch_size 16 --use_sgd --lr 0.01 --meta_lr 0.0003 --meta_batch_size 16 --meta_optimizer adam --pretrain_emb --weight_sharing --emb_dim 300 --hidden_dim 300 --pointer_gen --persona --save_path save/persona/${model} --save_path_dataset save/persona/ --test]
It generates error.IsADirectoryError:is a directory:'save/persona'.Even if I checked that 'save/persona' is existed.

Have you take the model with lowest PPL in validation set to finetune and test (replace ${model})

[xhc19930714]

Hi, I want to know how you trained the code? Did you train the code directly in your environment? I failed to train the code. When I run the code in my env, my GPU memory and utilization rate is very low. Did you modify the code and then run code in your env? At 2020-08-12 20:54:24, "mrdong" <notifications@github.com> wrote: I need help.When I trained successfully.I want to fine-tuned.>>>>[python main_fine_tune.py --cuda --model trs --batch_size 16 --use_sgd --lr 0.01 --meta_lr 0.0003 --meta_batch_size 16 --meta_optimizer adam --pretrain_emb --weight_sharing --emb_dim 300 --hidden_dim 300 --pointer_gen --persona --save_path save/persona/${model} --save_path_dataset save/persona/ --test] It generates error.IsADirectoryError:is a directory:'save/persona'.Even if I checked that 'save/persona' is existed. Have you take the model with lowest PPL in validation set to finetune and test (replace ${model}) — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

Hi, I want to know how you trained the code? Did you train the code directly in your environment? I failed to train the code. When I run the code in my env, my GPU memory and utilization rate is very low. Did you modify the code and then run code in your env? At 2020-08-12 20:54:24, "mrdong" notifications@github.com wrote: I need help.When I trained successfully.I want to fine-tuned.>>>>[python main_fine_tune.py --cuda --model trs --batch_size 16 --use_sgd --lr 0.01 --meta_lr 0.0003 --meta_batch_size 16 --meta_optimizer adam --pretrain_emb --weight_sharing --emb_dim 300 --hidden_dim 300 --pointer_gen --persona --save_path save/persona/${model} --save_path_dataset save/persona/ --test] It generates error.IsADirectoryError:is a directory:'save/persona'.Even if I checked that 'save/persona' is existed. Have you take the model with lowest PPL in validation set to finetune and test (replace ${model}) — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

Hi, I trained the code in a virtual environment which match the dependencies in the requirements.txt, I do modify the code as there are some errors when I trained the code, but the errors I encountered are not the errors you mentioned, maybe you can try to run the code on another machine ranther than create a virtual environment on the same machine, and see what happens.

[xhc19930714]

I have successfully trained all the PAML、 no_persona and persona models. Then I have fine-tuned the no-persona and persona models successfully. As for the paml model, when I have finished training the paml model , there is no model exist in the path ./save/paml like the other two. Should I have check the source code and fix them by myself, or maybe you have missed uploading some key code in the file MAML.py?

[leyi-123]

sorry to bother you. I need your help. when I run the command(python MAML.py --cuda --model trs --batch_size 16 --use_sgd --lr 0.01 --meta_lr 0.0003 --meta_batch_size 16 --meta_optimizer adam --pretrain_emb --weight_sharing --emb_dim 300 --hidden_dim 300 --fix_dialnum_train --pointer_gen --save_path save/paml/)
I got the following result

so, can you give me some advice on fixing the problem? thx.

Hi! I have the same problem as you. Can I ask how you solved it? Thanks!

Hi, I want to konw what's the purpose of data_analysis.ipynb？Is it necessary for the code?Is there another way to get persona_map file