---
license: mit
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# fake-review

this model is based on distilbert to train on fake reviews dataset 
It achieves the following results on the evaluation set:
- Loss: 0.1408
- Accuracy: 0.9834

## Model description

Based on Distilbert 

## Intended uses & limitations

More information needed

## Training and evaluation data

Dataset is 
## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-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: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0622        | 1.0   | 3791  | 0.1079          | 0.9800   |
| 0.0174        | 2.0   | 7582  | 0.2099          | 0.9692   |
| 0.005         | 3.0   | 11373 | 0.1408          | 0.9834   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.13.2