 can't get models directory after running python run_squad.py 
# 🐛 Bug

## Information

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

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


The problem arises when using:
after running "python run_squad.py ", I didn't get models directory.
running time of my code in colab is only 20 minutes, I think the training process is not done, what's the problem? How to solve that?


The tasks I am working on is:
SQUaD

## To reproduce

Steps to reproduce the behavior:

1.https://qa.fastforwardlabs.com/pytorch/hugging%20face/wikipedia/bert/transformers/2020/05/19/Getting_Started_with_QA.html
2.click the "Open in Colab" button above

!python run_squad.py  \
    --model_type bert   \
    --model_name_or_path bert-base-uncased  \
    --output_dir models/bert/ \
    --data_dir data/squad   \
    --overwrite_output_dir \
    --overwrite_cache \
    --do_train  \
    --train_file train-v2.0.json   \
    --version_2_with_negative \
    --do_lower_case  \
    --do_eval   \
    --predict_file dev-v2.0.json   \
    --per_gpu_train_batch_size 2   \
    --learning_rate 3e-5   \
    --num_train_epochs 2.0   \
    --max_seq_length 384   \
    --doc_stride 128   \
    --threads 10   \
    --save_steps 5000 

## Expected behavior


## Environment info
colab GPU
     
- `transformers` version:
- Platform:colab
- Python version:3.6.9
- PyTorch version (GPU?):1.5.1+cu101
- Tensorflow version (GPU?):
- Using GPU in script?:
- Using distributed or parallel set-up in script?:

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