results
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2719
Model description
A fine tuning verision of mistral 7b for better understanding of cybersecurity knowledge
Intended uses & limitations
SFT for cybersecurity usage
Training and evaluation data
Self-Generated dataset
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3597 | 0.3656 | 100 | 1.2926 |
| 1.3164 | 0.7313 | 200 | 1.2820 |
| 1.2334 | 1.0969 | 300 | 1.2783 |
| 1.2667 | 1.4625 | 400 | 1.2748 |
| 1.1905 | 1.8282 | 500 | 1.2719 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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