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# ESG_Prediction_IS

This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3734
- Accuracy: 0.8837

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 391  | 0.4915          | 0.8071   |
| 0.6206        | 2.0   | 782  | 0.3890          | 0.8582   |
| 0.383         | 3.0   | 1173 | 0.4101          | 0.8525   |
| 0.3375        | 4.0   | 1564 | 0.3722          | 0.8837   |
| 0.3375        | 5.0   | 1955 | 0.3734          | 0.8837   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "airesearch/wangchanberta-base-att-spm-uncased", "model-index": [{"name": "aspect-finnlp-th", "results": []}]}
transformers tensorboard safetensors camembert text-classification generated_from_trainer base_model:airesearch/wangchanberta-base-att-spm-uncased autotrain_compatible endpoints_compatible region:us