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# NER_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: 0.2431
- 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

{"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "clicknext/phayathaibert", "model-index": [{"name": "NER_thai_phayathai", "results": []}]}
transformers tensorboard safetensors camembert token-classification generated_from_trainer base_model:clicknext/phayathaibert autotrain_compatible endpoints_compatible region:us