---
library_name: peft
license: gemma
base_model: google/gemma-3-270m
tags:
- base_model:adapter:google/gemma-3-270m
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: gemma3-lora-multilang-coding
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma3-lora-multilang-coding

This model is a fine-tuned version of [google/gemma-3-270m](https://huggingface.co/google/gemma-3-270m) 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: 4
- eval_batch_size: 4
- seed: 42
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.17.0
- Transformers 4.56.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 2.14.6
- Tokenizers 0.21.4