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RoBERTa_PKDD-Anomaly
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0670
- Accuracy: 0.9838
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
- 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 |
---|---|---|---|---|
0.1603 | 1.0 | 1094 | 0.1171 | 0.9734 |
0.1136 | 2.0 | 2188 | 0.1433 | 0.9714 |
0.1025 | 3.0 | 3282 | 0.0713 | 0.975 |
0.0846 | 4.0 | 4376 | 0.0672 | 0.9762 |
0.0738 | 5.0 | 5470 | 0.0620 | 0.9786 |
0.0569 | 6.0 | 6564 | 0.0562 | 0.9832 |
0.0427 | 7.0 | 7658 | 0.0483 | 0.9862 |
0.034 | 8.0 | 8752 | 0.0472 | 0.9882 |
0.0262 | 9.0 | 9846 | 0.0505 | 0.9888 |
0.0212 | 10.0 | 10940 | 0.0518 | 0.9888 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3