github_cybersecurity_READMEs
This model is a fine-tuned version of geralt/MechDistilGPT2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 9.7201
- Accuracy: 0.0193
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 13 | 10.5158 | 0.0045 |
| No log | 2.0 | 26 | 9.9496 | 0.0123 |
| No log | 3.0 | 39 | 9.7201 | 0.0193 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
geralt/MechDistilGPT2