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xlmRoberta-for-VietnameseQA

This model is a fine-tuned version of xlm-roberta-base on the UIT-Viquad_v2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8315

Model description

Fine-tuned by Honganh Nguyen (FPTU AI Club).

Intended uses & limitations

More information needed

Training and evaluation data

Credits to Viet Nguyen (FPTU AI Club) for the training and evaluation data.

Training data: https://github.com/vietnguyen012/QA_viuit/blob/main/train.json

Evaluation data: https://github.com/vietnguyen012/QA_viuit/blob/main/trial/trial.json

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 12
  • eval_batch_size: 12
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.5701 1.0 2534 1.2220
1.2942 2.0 5068 0.9698
1.0693 3.0 7602 0.8315

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.17.0
  • Tokenizers 0.10.3
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Dataset used to train hogger32/xlmRoberta-for-VietnameseQA

Evaluation results