---
base_model: clicknext/phayathaibert
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: pos_thai_phayathai
  results: []
language: th
widget:
- text: ภาษาไทยง่ายนิดเดียว
  example_title: test1
- text: >-
    หนุ่มเลี้ยงควายในอิสราเอลเผยรายได้ต่อเดือนทำงาน 4 ปี สร้างบ้านได้ 1 หลัง
  example_title: test2
datasets:
- lunarlist/tagging_thai
---

<!-- 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. -->

# pos_thai_phayathai

This model is a fine-tuned version of [clicknext/phayathaibert](https://huggingface.co/clicknext/phayathaibert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0795
- Precision: 0.9578
- Recall: 0.9598
- F1: 0.9588
- Accuracy: 0.9725

## 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: 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: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0882        | 1.0   | 7344  | 0.0845          | 0.9585    | 0.9563 | 0.9574 | 0.9713   |
| 0.0709        | 2.0   | 14688 | 0.0795          | 0.9578    | 0.9598 | 0.9588 | 0.9725   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0