---
library_name: peft
license: gemma
base_model: google/codegemma-7b-it
tags:
- base_model:adapter:google/codegemma-7b-it
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: codegemma-7b-securecode
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# codegemma-7b-securecode

This model is a fine-tuned version of [google/codegemma-7b-it](https://huggingface.co/google/codegemma-7b-it) on the None dataset.

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 3

### Training results



### Framework versions

- PEFT 0.18.1
- Transformers 5.1.0
- Pytorch 2.7.1+cu128
- Datasets 2.21.0
- Tokenizers 0.22.2