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---
base_model: Thammarak/wangchanBERTa-QA-thaiqa_squad
tags:
- generated_from_trainer
model-index:
- name: wangchanberta-xet_hyp-params
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. -->
# wangchanberta-xet_hyp-params
This model is a fine-tuned version of [Thammarak/wangchanBERTa-QA-thaiqa_squad](https://huggingface.co/Thammarak/wangchanBERTa-QA-thaiqa_squad) on the **Dataxet FAQs** dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0194
## 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: 1e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0098 | 1.0 | 187 | 0.0195 |
| 0.02 | 2.0 | 374 | 0.0194 |
| 0.022 | 3.0 | 561 | 0.0194 |
| 0.0193 | 4.0 | 748 | 0.0194 |
| 0.0146 | 5.0 | 935 | 0.0194 |
| 0.0188 | 6.0 | 1122 | 0.0194 |
| 0.0296 | 7.0 | 1309 | 0.0194 |
| 0.0244 | 8.0 | 1496 | 0.0193 |
| 0.0035 | 9.0 | 1683 | 0.0193 |
| 0.0153 | 10.0 | 1870 | 0.0194 |
| 0.0188 | 11.0 | 2057 | 0.0193 |
| 0.0171 | 12.0 | 2244 | 0.0193 |
| 0.0415 | 13.0 | 2431 | 0.0194 |
| 0.0115 | 14.0 | 2618 | 0.0194 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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