---
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