| This model is [ALBERT base v2](https://huggingface.co/albert-base-v2) trained on SQuAD v2 as: | |
| ``` | |
| export SQUAD_DIR=../../squad2 | |
| python3 run_squad.py | |
| --model_type albert | |
| --model_name_or_path albert-base-v2 | |
| --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/albert_fine/ | |
| ``` | |
| Performance on a dev subset is close to the original paper: | |
| ``` | |
| Results: | |
| { | |
| 'exact': 78.71010200723923, | |
| 'f1': 81.89228117126069, | |
| 'total': 6078, | |
| 'HasAns_exact': 75.39518900343643, | |
| 'HasAns_f1': 82.04167868004215, | |
| 'HasAns_total': 2910, | |
| 'NoAns_exact': 81.7550505050505, | |
| 'NoAns_f1': 81.7550505050505, | |
| 'NoAns_total': 3168, | |
| 'best_exact': 78.72655478775913, | |
| 'best_exact_thresh': 0.0, | |
| 'best_f1': 81.90873395178066, | |
| 'best_f1_thresh': 0.0 | |
| } | |
| ``` | |
| We are hopeful this might save you time, energy, and compute. Cheers! |