metadata

tags:
  - generated_from_trainer
model-index:
  - name: fine-tuned-viquad-hgf
    results: []

FINE-TUNED-VIQUAD-HGF

This model is a fine-tuned version of bhavikardeshna/xlm-roberta-base-vietnamese on the UIT-ViQuAD dataset.

Model description

The model is described in Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource Languages paper

Training and evaluation data

A new dataset for the low-resource language as Vietnamese to evaluate MRC models. This dataset comprises over 23,000 human-generated question-answer pairs based on 5,109 passages of 174 Vietnamese articles from Wikipedia. However in processing, I eliminated more than 3000 questions with no answers.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

EM: 52.38
F1-SCORE: 77.67

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2