readme: ---
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - squad_v2
  model-index:
  - name: xlmRoberta-for-VietnameseQA
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # xlmRoberta-for-VietnameseQA
  
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/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
  