metadata

library_name: transformers
license: gemma
base_model: ma921/gemma-2-sft-golden-hh
tags:
  - generated_from_trainer
model-index:
  - name: gemma2_dr_dpo_golden-hh_noise40_epoch3
    results: []

gemma2_dr_dpo_golden-hh_noise40_epoch3

This model is a fine-tuned version of ma921/gemma-2-sft-golden-hh 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: 1e-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 128
total_train_batch_size: 256
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

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1