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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Sentiment_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: 1.4796
- Accuracy: 0.7420

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6755        | 1.0   | 512  | 0.7123          | 0.6874   |
| 0.5049        | 2.0   | 1024 | 0.7168          | 0.7147   |
| 0.3099        | 3.0   | 1536 | 0.8684          | 0.7369   |
| 0.2249        | 4.0   | 2048 | 1.0743          | 0.7369   |
| 0.1696        | 5.0   | 2560 | 1.2089          | 0.7267   |
| 0.1126        | 6.0   | 3072 | 1.3945          | 0.7443   |
| 0.0709        | 7.0   | 3584 | 1.4796          | 0.7420   |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1