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GPT2_BGL-Anomaly
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0505
- Accuracy: 0.9832
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
- gradient_accumulation_steps: 10
- total_train_batch_size: 320
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.233 | 1.0 | 109 | 0.2260 | 0.9306 |
| 0.1311 | 1.99 | 218 | 0.1478 | 0.9366 |
| 0.0985 | 3.0 | 328 | 0.0720 | 0.9722 |
| 0.0798 | 3.99 | 437 | 0.0621 | 0.9730 |
| 0.0719 | 5.0 | 547 | 0.0482 | 0.9838 |
| 0.0657 | 6.0 | 656 | 0.0519 | 0.9814 |
| 0.0631 | 6.99 | 765 | 0.0522 | 0.9810 |
| 0.0587 | 8.0 | 875 | 0.0529 | 0.9818 |
| 0.0613 | 8.99 | 984 | 0.0500 | 0.9826 |
| 0.0601 | 9.96 | 1090 | 0.0483 | 0.9826 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
