| ## Albert xxlarge version 1 language model fine-tuned on SQuAD2.0 | |
| ### (updated 30Sept2020) with the following results: | |
| ``` | |
| exact: 86.11134506864315 | |
| f1: 89.35371214945009 | |
| total': 11873 | |
| HasAns_exact': 83.56950067476383 | |
| HasAns_f1': 90.06353312254078 | |
| HasAns_total': 5928 | |
| NoAns_exact': 88.64592094196804 | |
| NoAns_f1': 88.64592094196804 | |
| NoAns_total': 5945 | |
| best_exact': 86.11134506864315 | |
| best_exact_thresh': 0.0 | |
| best_f1': 89.35371214944985 | |
| best_f1_thresh': 0.0 | |
| ``` | |
| ### from script: | |
| ``` | |
| python ${EXAMPLES}/run_squad.py \ | |
| --model_type albert \ | |
| --model_name_or_path albert-xxlarge-v1 \ | |
| --do_train \ | |
| --do_eval \ | |
| --train_file ${SQUAD}/train-v2.0.json \ | |
| --predict_file ${SQUAD}/dev-v2.0.json \ | |
| --version_2_with_negative \ | |
| --do_lower_case \ | |
| --num_train_epochs 3 \ | |
| --max_steps 8144 \ | |
| --warmup_steps 814 \ | |
| --learning_rate 3e-5 \ | |
| --max_seq_length 512 \ | |
| --doc_stride 128 \ | |
| --per_gpu_train_batch_size 6 \ | |
| --gradient_accumulation_steps 8 \ | |
| --per_gpu_eval_batch_size 48 \ | |
| --fp16 \ | |
| --fp16_opt_level O1 \ | |
| --threads 12 \ | |
| --logging_steps 50 \ | |
| --save_steps 3000 \ | |
| --overwrite_output_dir \ | |
| --output_dir ${MODEL_PATH} | |
| ``` | |
| ### using the following software & system: | |
| ``` | |
| Transformers: 3.1.0 | |
| PyTorch: 1.6.0 | |
| TensorFlow: 2.3.1 | |
| Python: 3.8.1 | |
| OS: Linux-5.4.0-48-generic-x86_64-with-glibc2.10 | |
| CPU/GPU: Intel i9-9900K / NVIDIA Titan RTX 24GB | |
| ``` | |