---
base_model: airesearch/wangchanberta-base-att-spm-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: lst20-baseline-new
  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. -->

# lst20-baseline-new

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: 0.1359
- Precision: 0.8427
- Recall: 0.6944
- F1: 0.7614
- Accuracy: 0.9474

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1354        | 1.0   | 1274 | 0.1384          | 0.8232    | 0.6967 | 0.7547 | 0.9453   |
| 0.1392        | 2.0   | 2548 | 0.1396          | 0.8570    | 0.6681 | 0.7508 | 0.9464   |
| 0.1325        | 3.0   | 3822 | 0.1352          | 0.8148    | 0.7212 | 0.7651 | 0.9465   |
| 0.1266        | 4.0   | 5096 | 0.1366          | 0.8536    | 0.6746 | 0.7536 | 0.9467   |
| 0.1195        | 5.0   | 6370 | 0.1359          | 0.8427    | 0.6944 | 0.7614 | 0.9474   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2