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GPT2_PKDD-Anomaly_Baseline
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6082
- Accuracy: 0.7009
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 |
---|---|---|---|---|
0.7672 | 1.0 | 109 | 0.6743 | 0.6336 |
0.6619 | 1.99 | 218 | 0.6326 | 0.69 |
0.6338 | 3.0 | 328 | 0.6206 | 0.6948 |
0.6319 | 3.99 | 437 | 0.6149 | 0.6974 |
0.6198 | 5.0 | 547 | 0.6114 | 0.7 |
0.6237 | 6.0 | 656 | 0.6098 | 0.6988 |
0.6204 | 6.99 | 765 | 0.6085 | 0.6992 |
0.6138 | 8.0 | 875 | 0.6077 | 0.6998 |
0.6185 | 8.99 | 984 | 0.6072 | 0.6998 |
0.6137 | 9.96 | 1090 | 0.6071 | 0.6998 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3