Can not find microsoft/codebert-base in model shortcut name list about codexglue

[guody5]

The log is correct. When you don't have codebert-base model in local machine, the code will automatically download codebert-base model from the website.

If you successfully run the program, just ignoring the warning.

[shangqing-liu]

The log is correct. When you don't have codebert-base model in local machine, the code will automatically download codebert-base model from the website.

If you successfully run the program, just ignoring the warning.

However, the program stopped after this log information and no model saved in the directory. So what is the problem?

[guody5]

Can you share all log with me?

[shangqing-liu]

Ok, here is the train.log
train.log

[guody5]

CodeBERT-base model has been loaded. It looks your program is blocked [here] (

CodeXGLUE/Code-Code/Defect-detection/code/run.py

Lines 519 to 523 in 6e4d5f7

	model=Model(model,config,tokenizer,args)
	if args.local_rank == 0:
	torch.distributed.barrier() # End of barrier to make sure only the first process in distributed training download model & vocab

). But I don't know why your program stop there, can you re-clone the repo and follow the command to run the pipeline?

[guody5]

Ok, here is the train.log
train.log

Your program stop here

CodeXGLUE/Code-Code/Defect-detection/code/run.py

Line 513 in 6e4d5f7

model = model_class.from_pretrained(args.model_name_or_path,

. Maybe there are something wrong in your transformers package, can you update your transformers using pip install --upgrade transformers

[shangqing-liu]

CodeBERT-base model has been loaded. It looks your program is blocked [here] (

CodeXGLUE/Code-Code/Defect-detection/code/run.py

Lines 519 to 523 in 6e4d5f7

	model=Model(model,config,tokenizer,args)
	if args.local_rank == 0:
	torch.distributed.barrier() # End of barrier to make sure only the first process in distributed training download model & vocab

). But I don't know why your program stop there, can you re-clone the repo and follow the command to run the pipeline?

I re-clone this repo and follow the instructions step by step, but it fails again with the same issue.

[guody5]

CodeBERT-base model has been loaded. It looks your program is blocked [here] (

CodeXGLUE/Code-Code/Defect-detection/code/run.py

Lines 519 to 523 in 6e4d5f7

	model=Model(model,config,tokenizer,args)
	if args.local_rank == 0:
	torch.distributed.barrier() # End of barrier to make sure only the first process in distributed training download model & vocab

). But I don't know why your program stop there, can you re-clone the repo and follow the command to run the pipeline?

I re-clone this repo and follow the instructions step by step, but it fails again with the same issue.

Can you update your transformers using pip install --upgrade transformers?

[shangqing-liu]

CodeBERT-base model has been loaded. It looks your program is blocked [here] (

CodeXGLUE/Code-Code/Defect-detection/code/run.py

Lines 519 to 523 in 6e4d5f7

	model=Model(model,config,tokenizer,args)
	if args.local_rank == 0:
	torch.distributed.barrier() # End of barrier to make sure only the first process in distributed training download model & vocab

). But I don't know why your program stop there, can you re-clone the repo and follow the command to run the pipeline?

I re-clone this repo and follow the instructions step by step, but it fails again with the same issue.

Can you update your transformers using pip install --upgrade transformers?

After upgrade transformers to the latest version, when I run the shell, it outputs nothing. The train.log is also nothing existed. Here is the run.sh

[guody5]

CodeBERT-base model has been loaded. It looks your program is blocked [here] (

CodeXGLUE/Code-Code/Defect-detection/code/run.py

Lines 519 to 523 in 6e4d5f7

	model=Model(model,config,tokenizer,args)
	if args.local_rank == 0:
	torch.distributed.barrier() # End of barrier to make sure only the first process in distributed training download model & vocab

). But I don't know why your program stop there, can you re-clone the repo and follow the command to run the pipeline?

I re-clone this repo and follow the instructions step by step, but it fails again with the same issue.

Can you update your transformers using pip install --upgrade transformers?

After upgrade transformers to the latest version, when I run the shell, it outputs nothing. The train.log is also nothing existed. Here is the run.sh

Can you try this to reload codebert-base?

from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("microsoft/codebert-base")
model = AutoModel.from_pretrained("microsoft/codebert-base")

[guody5]

Another way to fix it is to download model from https://huggingface.co/microsoft/codebert-base#list-files to local folder code/micorsoft/codebert-base.

[shangqing-liu]

Another way to fix it is to download model from https://huggingface.co/microsoft/codebert-base#list-files to local folder code/micorsoft/codebert-base.

Thanks for the help, I have found the problem. The torch version is not compatible with transformers.