<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
GPT2_PKDD-Anomaly
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1023
- Accuracy: 0.9632
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 |
---|---|---|---|---|
0.4687 | 1.0 | 109 | 0.2218 | 0.9152 |
0.1898 | 1.99 | 218 | 0.1444 | 0.9498 |
0.1391 | 3.0 | 328 | 0.1198 | 0.9552 |
0.1233 | 3.99 | 437 | 0.1250 | 0.955 |
0.1164 | 5.0 | 547 | 0.1196 | 0.9582 |
0.1095 | 6.0 | 656 | 0.1115 | 0.9602 |
0.1046 | 6.99 | 765 | 0.1045 | 0.9644 |
0.1018 | 8.0 | 875 | 0.1072 | 0.963 |
0.102 | 8.99 | 984 | 0.1046 | 0.9634 |
0.0987 | 9.96 | 1090 | 0.1044 | 0.9634 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3