readme: # Question & Answering Model for 'Save Your Minutes' from Dobby-AI
  Distilbert_Base fine-tuned on SQuAD2.0 and custom QA dataset
  
  This model is [twmkn9/distilbert-base-uncased-squad2] trained on additional custom dataset as:
  ```
  !python3 run_squad.py  --model_type distilbert \
                          --model_name_or_path /content/distilbert_base_384 \
                          --do_lower_case \
                          --output_dir /content/model/\
                          --do_train \
                          --train_file $data_dir/additional_qa.json\
                          --version_2_with_negative \
                          --do_lower_case \
                          --num_train_epochs 3 \
                          --weight_decay 0.01 \
                          --learning_rate 3e-5 \
                          --max_grad_norm 0.5 \
                          --adam_epsilon 1e-6 \
                          --max_seq_length 512 \
                          --doc_stride 128 \
                          --threads 12 \
                          --logging_steps 50 \
                          --save_steps 1000 \
                          --overwrite_output_dir \
                          --per_gpu_train_batch_size 4
  ```
  We used Google Colab for training the model,