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AI-detector2
This model is a fine-tuned version of roberta-base-openai-detector on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0009
- Train Accuracy: 1.0
- Validation Loss: 0.1324
- Validation Accuracy: 0.9729
- Epoch: 4
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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.4948 | 0.8545 | 0.1266 | 0.9535 | 0 |
| 0.0460 | 0.9845 | 0.1118 | 0.9690 | 1 |
| 0.0040 | 1.0 | 0.1118 | 0.9729 | 2 |
| 0.0014 | 1.0 | 0.0958 | 0.9767 | 3 |
| 0.0009 | 1.0 | 0.1324 | 0.9729 | 4 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Tokenizers 0.13.3
