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# wangchanberta_dataxet_FAQ_chatbot_v2

This model is a fine-tuned version of [Thammarak/wangchanBERTa-QA-thaiqa_squad](https://huggingface.co/Thammarak/wangchanBERTa-QA-thaiqa_squad) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0197

## 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: 1.2922909480977358e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0063        | 0.53  | 100  | 0.0197          |
| 0.0122        | 1.07  | 200  | 0.0197          |
| 0.0126        | 1.6   | 300  | 0.0197          |
| 0.0           | 2.14  | 400  | 0.0197          |
| 0.0           | 2.67  | 500  | 0.0197          |
| 0.006         | 3.21  | 600  | 0.0197          |
| 0.0066        | 3.74  | 700  | 0.0197          |
| 0.0           | 4.28  | 800  | 0.0197          |
| 0.0069        | 4.81  | 900  | 0.0197          |
| 0.0128        | 5.35  | 1000 | 0.0197          |
| 0.0           | 5.88  | 1100 | 0.0197          |
| 0.0           | 6.42  | 1200 | 0.0197          |
| 0.0063        | 6.95  | 1300 | 0.0197          |
| 0.0073        | 7.49  | 1400 | 0.0197          |
| 0.0           | 8.02  | 1500 | 0.0197          |
| 0.0           | 8.56  | 1600 | 0.0197          |
| 0.0062        | 9.09  | 1700 | 0.0197          |
| 0.0078        | 9.63  | 1800 | 0.0197          |
| 0.0067        | 10.16 | 1900 | 0.0197          |
| 0.0146        | 10.7  | 2000 | 0.0197          |
| 0.0           | 11.23 | 2100 | 0.0197          |
| 0.0066        | 11.76 | 2200 | 0.0197          |
| 0.0137        | 12.3  | 2300 | 0.0197          |
| 0.0           | 12.83 | 2400 | 0.0197          |
| 0.0           | 13.37 | 2500 | 0.0197          |
| 0.0062        | 13.9  | 2600 | 0.0197          |
| 0.0           | 14.44 | 2700 | 0.0197          |
| 0.0           | 14.97 | 2800 | 0.0197          |
| 0.0           | 15.51 | 2900 | 0.0197          |
| 0.0215        | 16.04 | 3000 | 0.0197          |
| 0.0069        | 16.58 | 3100 | 0.0197          |
| 0.0           | 17.11 | 3200 | 0.0197          |
| 0.0076        | 17.65 | 3300 | 0.0197          |
| 0.007         | 18.18 | 3400 | 0.0197          |
| 0.0068        | 18.72 | 3500 | 0.0197          |
| 0.0           | 19.25 | 3600 | 0.0197          |
| 0.0207        | 19.79 | 3700 | 0.0197          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "Thammarak/wangchanBERTa-QA-thaiqa_squad", "model-index": [{"name": "wangchanberta_dataxet_FAQ_chatbot_v2", "results": []}]}
transformers tensorboard safetensors camembert question-answering generated_from_trainer base_model:Thammarak/wangchanBERTa-QA-thaiqa_squad endpoints_compatible has_space region:us