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
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