electra-qa-finetuned-viet-qa
This model is a fine-tuned version of NlpHUST/electra-base-vn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4144
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 1.6859 | 1.0 | 1015 | 1.4759 |
| 1.1843 | 2.0 | 2030 | 1.3652 |
| 0.9369 | 3.0 | 3045 | 1.4144 |
Framework versions
- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1