metadata

language:
  - sv
tags:
  - squad
license: apache-2.0
datasets:
  - susumu2357/squad_v2_sv
metrics:
  - squad_v2

Swedish BERT Fine-tuned on SQuAD v2

This model is a fine-tuning checkpoint of Swedish BERT on SQuAD v2.

Training data

Fine-tuning was done based on the pre-trained model KB/bert-base-swedish-cased.

Training and dev datasets are our Swedish translation of SQuAD v2.

Here is the HuggingFace Datasets.

Hyperparameters

batch_size = 16
n_epochs = 2
max_seq_len = 386
learning_rate = 3e-5
warmup_steps = 2900    # warmup_proportion = 0.2
doc_stride=128
max_query_length=64

Eval results

'exact': 66.72642524202223
'f1': 70.11149581003404
'total': 11156
'HasAns_exact': 55.574745730186144
'HasAns_f1': 62.821693965983044
'HasAns_total': 5211
'NoAns_exact': 76.50126156433979
'NoAns_f1': 76.50126156433979
'NoAns_total': 5945

Limitations and bias

This model may contain biases due to mistranslations of the SQuAD dataset.

BibTeX entry and citation info

@misc{svSQuADbert,
  author = {Susumu Okazawa},
  title = {Swedish BERT Fine-tuned on Swedish SQuAD 2.0},
  year = {2021},
  howpublished = {\url{https://huggingface.co/susumu2357/bert-base-swedish-squad2}},
}