---
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