max_seq_length              = 512
doc_stride                  = 256
max_answer_length           = 64
bacth_size                  = 16
gradient_accumulation_steps = 2
learning_rate               = 5e-5
weight_decay                = 3e-7
num_train_epochs            = 3
warmup_ratio                = 0.1
fp16                        = True
fp16_opt_level              = "O1"
seed                        = 0

Results

EM	F1
81.731	89.009

Zero-shot performance

on ARCD

EM	F1
20.655	48.051

on XQuAD

Language	EM	F1
Arabic	42.185	57.803
English	73.529	85.01
German	55.882	72.555
Greek	45.21	62.207
Spanish	58.067	76.406
Hindi	40.588	55.29
Russian	55.126	71.617
Thai	26.891	39.965
Turkish	34.874	51.138
Vietnamese	47.983	68.125
Chinese	47.395	58.928

salti/bert-base-multilingual-cased-finetuned-squad

Multilingual BERT fine-tuned on SQuADv1.1

Training Arguments

Results

Zero-shot performance

on ARCD

on XQuAD

salti/
bert-base-multilingual-cased-finetuned-squad