Run the teacher model (BERT-base) baseline Error

[NLP]

🐛 Bug

Information

Model I am using (Bert, XLNet ...): BERT

Language I am using the model on (English, Chinese ...): English

The problem arises when using:

• the official example scripts: (give details below)

The tasks I am working on is:

• an official GLUE/SQUaD task: (give the name)

To reproduce

Steps to reproduce the behavior:

1. run the command below

python examples\fastformers\run_superglue.py --model_type bert --model_name_or_path ..\model\fastformers\teacher_model\teacher-bert-base  --task_name BoolQ --output_dir .\out --do_eval  --data_dir ..\dataset\fastformers\BoolQ --per_instance_eval_batch_size 1 --use_fixed_seq_length --do_lower_case --max_seq_length 512 --no_cuda

Expected behavior

get error below:

FileNotFoundError: [Errno 2] No such file or directory: '..\dataset\fastformers\BoolQ\tensors_dev_..\model\fastformers\teacher_model\teacher-bert-base_512_boolq_True'

Environment info

• transformers version: 2.11.0
• Platform: windows
• Python version: 3.6
• PyTorch version (GPU?): 1.7.0+cpu
• Tensorflow version (GPU?): None
• Using GPU in script?: No
• Using distributed or parallel set-up in script?: No

[Young Jin Kim]

As mentioned in the readme, we don't support this on windows at the moment. Could you try this on linux? It works well on WSL as well.

[NLP]

@ykim362 Thank you! On ubuntu16.04, everything is OK.