File size: 1,667 Bytes
dd88219 9af804d dd88219 58bd18a dd88219 789d3a3 dd88219 e6ed28b 76f8cc6 eedae1f 76f8cc6 eedae1f dd88219 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
license: mit
tags:
- generated_from_trainer
datasets:
- squad_v2
base_model: xlm-roberta-base
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
|