| ## BERT-large finetuned on squad v2. | |
| F1 on dev (from paper)[https://arxiv.org/pdf/1810.04805v2.pdf] is 81.9, we reach 81.58. | |
| ``` | |
| {'exact': 78.6321906847469, | |
| 'f1': 81.5816656803201, | |
| 'total': 11873, | |
| 'HasAns_exact': 73.73481781376518, | |
| 'HasAns_f1': 79.64222615088413, | |
| 'HasAns_total': 5928, | |
| 'NoAns_exact': 83.51555929352396, | |
| 'NoAns_f1': 83.51555929352396, | |
| 'NoAns_total': 5945, | |
| 'best_exact': 78.6321906847469, | |
| 'best_exact_thresh': 0.0, | |
| 'best_f1': 81.58166568032006, | |
| 'best_f1_thresh': 0.0, | |
| 'epoch': 1.59} | |
| ``` | |
| ``` | |
| python run_qa.py \ | |
| --model_name_or_path bert-large-uncased \ | |
| --dataset_name squad_v2 \ | |
| --do_train \ | |
| --do_eval \ | |
| --save_steps 2500 \ | |
| --eval_steps 2500 \ | |
| --evaluation_strategy steps \ | |
| --per_device_train_batch_size 12 \ | |
| --learning_rate 3e-5 \ | |
| --num_train_epochs 2 \ | |
| --max_seq_length 384 \ | |
| --doc_stride 128 \ | |
| --output_dir bert-large-uncased-squadv2 \ | |
| --version_2_with_negative 1 | |
| ``` |