metadata
base_model: clicknext/phayathaibert
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: NER_thai_phayathai
results: []
NER_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: 0.2431
- Precision: 0.6569
- Recall: 0.7286
- F1: 0.6909
- Accuracy: 0.9292
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.464 | 1.0 | 651 | 0.2723 | 0.6152 | 0.6910 | 0.6509 | 0.9225 |
| 0.2648 | 2.0 | 1302 | 0.2464 | 0.6480 | 0.7263 | 0.6849 | 0.9284 |
| 0.228 | 3.0 | 1953 | 0.2506 | 0.6442 | 0.7316 | 0.6851 | 0.9261 |
| 0.1962 | 4.0 | 2604 | 0.2431 | 0.6569 | 0.7286 | 0.6909 | 0.9292 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0