---
library_name: peft
license: other
base_model: google/medgemma-27b-text-it
tags:
- base_model:adapter:google/medgemma-27b-text-it
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: medgemma-27b-conversation-finetune
  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. -->

# medgemma-27b-conversation-finetune

This model is a fine-tuned version of [google/medgemma-27b-text-it](https://huggingface.co/google/medgemma-27b-text-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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 875

### Training results



### Framework versions

- PEFT 0.16.0
- Transformers 4.53.2
- Pytorch 2.7.1+cu128
- Datasets 4.0.0
- Tokenizers 0.21.2