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# model_spam

This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3249
- Accuracy: 0.8719

## 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: 32
- eval_batch_size: 32
- 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   | 353  | 0.3210          | 0.8698   |
| 0.3846        | 2.0   | 706  | 0.3022          | 0.8751   |
| 0.3029        | 3.0   | 1059 | 0.3098          | 0.8747   |
| 0.3029        | 4.0   | 1412 | 0.3159          | 0.8793   |
| 0.2563        | 5.0   | 1765 | 0.3249          | 0.8719   |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "vinai/phobert-base", "model-index": [{"name": "model_spam", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:vinai/phobert-base autotrain_compatible endpoints_compatible region:us