metadata
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
pos_thai_phayathai
This model is a fine-tuned version of 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