metadata

language:
  - multilingual
tags:
  - question-answering
datasets:
  - squad2
metrics:
  - squad2

Rembert Squad2

This model is finetuned for QA task on Squad2 from Rembert checkpoint.

Hyperparameters

Batch Size: 4
Grad Accumulation Steps = 8
Total epochs = 3
MLM Checkpoint = "rembert"
max_seq_len = 256
learning_rate = 1e-5
lr_schedule = LinearWarmup
warmup_ratio = 0.1
doc_stride = 128

Squad 2 Evaluation stats:

Metrics generated from the official Squad2 evaluation script

{
  "exact": 84.51107554956624,
  "f1": 87.46644042781853,
  "total": 11873,
  "HasAns_exact": 80.97165991902834,
  "HasAns_f1": 86.89086491219469,
  "HasAns_total": 5928,
  "NoAns_exact": 88.04037005887301,
  "NoAns_f1": 88.04037005887301,
  "NoAns_total": 5945
}

For any questions, you can reach out to me on Twitter