---
library_name: peft
license: gemma
base_model: google/gemma-3-27b-it
tags:
- base_model:adapter:google/gemma-3-27b-it
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: gemma3-finetuned-vision
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gemma3-finetuned-vision

This model is a fine-tuned version of [google/gemma-3-27b-it](https://huggingface.co/google/gemma-3-27b-it) on an unknown 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 50

### Training results



### Framework versions

- PEFT 0.16.0
- Transformers 4.53.0
- Pytorch 2.7.1
- Datasets 3.6.0
- Tokenizers 0.21.2