---
library_name: transformers
base_model: airesearch/wangchanberta-base-att-spm-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: fined-tune-thai-sentiment
  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. -->

# fined-tune-thai-sentiment

This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3544
- Accuracy: 0.9282
- F1-score: 0.9278
- Precision: 0.9276
- Recall: 0.9282

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 181
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|
| 0.8746        | 1.0   | 91   | 0.8613          | 0.6133   | 0.4662   | 0.3761    | 0.6133 |
| 0.8086        | 2.0   | 182  | 0.8758          | 0.5746   | 0.4955   | 0.4768    | 0.5746 |
| 0.9223        | 3.0   | 273  | 0.9218          | 0.6133   | 0.4662   | 0.3761    | 0.6133 |
| 0.8561        | 4.0   | 364  | 0.7430          | 0.6630   | 0.5899   | 0.6325    | 0.6630 |
| 0.6694        | 5.0   | 455  | 0.5335          | 0.7845   | 0.7507   | 0.7289    | 0.7845 |
| 0.5792        | 6.0   | 546  | 0.4365          | 0.8287   | 0.8227   | 0.8239    | 0.8287 |
| 0.3046        | 7.0   | 637  | 0.4033          | 0.8840   | 0.8834   | 0.8930    | 0.8840 |
| 0.2004        | 8.0   | 728  | 0.3544          | 0.9282   | 0.9278   | 0.9276    | 0.9282 |
| 0.1443        | 9.0   | 819  | 0.4025          | 0.9171   | 0.9180   | 0.9199    | 0.9171 |
| 0.0765        | 10.0  | 910  | 0.4116          | 0.9227   | 0.9238   | 0.9269    | 0.9227 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1