|
--- |
|
base_model: mistralai/Mistral-7B-v0.1 |
|
library_name: peft |
|
license: apache-2.0 |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: results |
|
results: [] |
|
datasets: |
|
- BattleTag/GeneratedBy_GPT4o |
|
--- |
|
|
|
|
|
|
|
# results |
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/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 |
