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GPT2_AA-Anomaly
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0173
- Accuracy: 0.9944
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 |
|---|---|---|---|---|
| No log | 0.99 | 81 | 0.1880 | 0.9395 |
| No log | 2.0 | 163 | 0.1407 | 0.9483 |
| No log | 2.99 | 244 | 0.0578 | 0.9770 |
| No log | 4.0 | 326 | 0.0479 | 0.9809 |
| No log | 4.99 | 407 | 0.0322 | 0.9905 |
| No log | 6.0 | 489 | 0.0253 | 0.9918 |
| 0.1281 | 6.99 | 570 | 0.0228 | 0.9933 |
| 0.1281 | 8.0 | 652 | 0.0216 | 0.9938 |
| 0.1281 | 8.99 | 733 | 0.0205 | 0.9931 |
| 0.1281 | 9.94 | 810 | 0.0212 | 0.9936 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
