distilbert-base-uncased-detect_ai_generated_text
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0089
- Accuracy: 1.0
- F1: 1.0
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2078 | 1.0 | 47 | 0.0219 | 1.0 | 1.0 |
| 0.0153 | 2.0 | 94 | 0.0089 | 1.0 | 1.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.0
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