metadata
language:
- multilingual
datasets:
- squad
Multilingual BERT fine-tuned on SQuADv1.1
Training Arguments
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 |