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# wangchanberta-fine-tune-fin-news-sentiment-finnlp-th

This model is a fine-tuned version of [nlp-chula/augment-sentiment-finnlp-th](https://huggingface.co/nlp-chula/augment-sentiment-finnlp-th) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8258
- Accuracy: 0.7516

## 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: 5e-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 | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5974        | 1.0   | 3054  | 0.5813          | 0.7310   |
| 0.5319        | 2.0   | 6108  | 0.5835          | 0.7457   |
| 0.444         | 3.0   | 9162  | 0.6145          | 0.7446   |
| 0.3585        | 4.0   | 12216 | 0.6913          | 0.7523   |
| 0.2813        | 5.0   | 15270 | 0.8258          | 0.7516   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "nlp-chula/augment-sentiment-finnlp-th", "model-index": [{"name": "wangchanberta-fine-tune-fin-news-sentiment-finnlp-th", "results": []}]}
transformers tensorboard safetensors camembert text-classification generated_from_trainer base_model:nlp-chula/augment-sentiment-finnlp-th autotrain_compatible endpoints_compatible region:us