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1{
2 "exact": 65.16946363935504,
3 "f1": 67.87348075352251,
4 "total": 6078,
5 "HasAns_exact": 69.51890034364261,
6 "HasAns_f1": 75.16667217179045,
7 "HasAns_total": 2910,
8 "NoAns_exact": 61.17424242424242,
9 "NoAns_f1": 61.17424242424242,
10 "NoAns_total": 3168,
11 "best_exact": 65.16946363935504,
12 "best_exact_thresh": 0.0,
13 "best_f1": 67.87348075352243,
14 "best_f1_thresh": 0.0
15}1{
2 "do_lower_case": true,
3 "doc_stride": 128,
4 "fp16": false,
5 "fp16_opt_level": "O1",
6 "gradient_accumulation_steps": 24,
7 "learning_rate": 3e-05,
8 "max_answer_length": 30,
9 "max_grad_norm": 1,
10 "max_query_length": 64,
11 "max_seq_length": 384,
12 "model_name_or_path": "distilbert-base-uncased-distilled-squad",
13 "model_type": "distilbert",
14 "num_train_epochs": 4,
15 "per_gpu_train_batch_size": 32,
16 "save_steps": 5000,
17 "seed": 42,
18 "train_batch_size": 32,
19 "version_2_with_negative": true,
20 "warmup_steps": 0,
21 "weight_decay": 0
22}1{
2 "transformers": "2.5.1",
3 "pytorch": "1.4.0=py3.6_cuda10.1.243_cudnn7.6.3_0",
4 "python": "3.6.5=hc3d631a_2",
5 "os": "Linux 4.15.0-1060-aws #62-Ubuntu SMP Tue Feb 11 21:23:22 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux",
6 "gpu": "Tesla V100-SXM2-16GB"
7}1@misc{elgeish2020gestalt,
2 title={Gestalt: a Stacking Ensemble for SQuAD2.0},
3 author={Mohamed El-Geish},
4 journal={arXiv e-prints},
5 archivePrefix={arXiv},
6 eprint={2004.07067},
7 year={2020},
8}