README.md

metadata

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: []

medgemma-27b-conversation-finetune

This model is a fine-tuned version of 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