metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: bartpho-finetuned-qa
results: []
bartpho-finetuned-qa
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0573
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.1591 | 0.4032 | 100 | 0.0943 |
| 0.1181 | 0.8065 | 200 | 0.0841 |
| 0.0846 | 1.2097 | 300 | 0.0676 |
| 0.0641 | 1.6129 | 400 | 0.0597 |
| 0.0512 | 2.0161 | 500 | 0.0573 |
| 0.0354 | 2.4194 | 600 | 0.0617 |
| 0.0327 | 2.8226 | 700 | 0.0573 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1
- Datasets 3.1.0
- Tokenizers 0.19.1