| This model is [BERT base uncased](https://huggingface.co/bert-base-uncased) trained on SQuAD v2 as: | |
| ``` | |
| export SQUAD_DIR=../../squad2 | |
| python3 run_squad.py | |
| --model_type bert | |
| --model_name_or_path bert-base-uncased | |
| --do_train | |
| --do_eval | |
| --overwrite_cache | |
| --do_lower_case | |
| --version_2_with_negative | |
| --save_steps 100000 | |
| --train_file $SQUAD_DIR/train-v2.0.json | |
| --predict_file $SQUAD_DIR/dev-v2.0.json | |
| --per_gpu_train_batch_size 8 | |
| --num_train_epochs 3 | |
| --learning_rate 3e-5 | |
| --max_seq_length 384 | |
| --doc_stride 128 | |
| --output_dir ./tmp/bert_fine_tuned/ | |
| ``` | |
| Performance on a dev subset is close to the original paper: | |
| ``` | |
| Results: | |
| { | |
| 'exact': 72.35932872655479, | |
| 'f1': 75.75355132564763, | |
| 'total': 6078, | |
| 'HasAns_exact': 74.29553264604812, | |
| 'HasAns_f1': 81.38490892002987, | |
| 'HasAns_total': 2910, | |
| 'NoAns_exact': 70.58080808080808, | |
| 'NoAns_f1': 70.58080808080808, | |
| 'NoAns_total': 3168, | |
| 'best_exact': 72.35932872655479, | |
| 'best_exact_thresh': 0.0, | |
| 'best_f1': 75.75355132564766, | |
| 'best_f1_thresh': 0.0 | |
| } | |
| ``` | |
| We are hopeful this might save you time, energy, and compute. Cheers! |