---
library_name: transformers
base_model: airesearch/wangchanberta-base-att-spm-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wangchan-sentiment-thai-text-model
  results: []
datasets:
- pythainlp/wisesight_sentiment
- Wongnai/wongnai_reviews
language:
- th
pipeline_tag: text-classification
---

<!-- 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. -->

# wangchan-sentiment-thai-text-model

This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1248
- Accuracy: 0.7413

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6058        | 1.0   | 1911  | 0.5904          | 0.7442   |
| 0.5355        | 2.0   | 3822  | 0.5625          | 0.7559   |
| 0.4737        | 3.0   | 5733  | 0.5731          | 0.7493   |
| 0.4039        | 4.0   | 7644  | 0.6235          | 0.7547   |
| 0.3286        | 5.0   | 9555  | 0.7004          | 0.7524   |
| 0.2704        | 6.0   | 11466 | 0.7713          | 0.7416   |
| 0.21          | 7.0   | 13377 | 0.9502          | 0.7432   |
| 0.1808        | 8.0   | 15288 | 0.9720          | 0.7407   |
| 0.1494        | 9.0   | 17199 | 1.0570          | 0.7361   |
| 0.1304        | 10.0  | 19110 | 1.1248          | 0.7413   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1