gemma3_chosen_lora / README.md
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metadata
library_name: peft
license: other
base_model: google/gemma-3-27b-it
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: DPO_chosen_22607_250423
    results: []

DPO_chosen_22607_250423

This model is a fine-tuned version of /workspace/LLaMA-Factory/models/gemma-3-27b-it on the chosen_22607_250423 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: constant_with_warmup
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 2.0

Training results

Framework versions

  • PEFT 0.15.1
  • Transformers 4.51.3
  • Pytorch 2.7.0+cu126
  • Datasets 3.5.0
  • Tokenizers 0.21.1