---
library_name: transformers
base_model: clicknext/phayathaibert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: classification-model-house-assistance-phayathaibert
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# classification-model-house-assistance-phayathaibert

This model is a fine-tuned version of [clicknext/phayathaibert](https://huggingface.co/clicknext/phayathaibert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6620
- Accuracy: 0.9524

## 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: 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9901        | 1.0   | 23   | 1.1249          | 0.8571   |
| 0.865         | 2.0   | 46   | 0.7601          | 0.9048   |
| 0.6493        | 3.0   | 69   | 0.6620          | 0.9524   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1