README.md

metadata

base_model: /scratch/gpfs/DANQIC/ym0081/hf_cache/gemma-2-9b-it
tags:
  - alignment-handbook
  - generated_from_trainer
datasets:
  - >-
    /scratch/gpfs/DANQIC/ym0081/hf_cache/gemma2-ultrafeedback-armorm/dataset_dict/
model-index:
  - name: gemma2-9b-dpo-beta-0.01-lr-5e-7
    results: []

gemma2-9b-dpo-beta-0.01-lr-5e-7

This model is a fine-tuned version of /scratch/gpfs/DANQIC/ym0081/hf_cache/gemma-2-9b-it on the /scratch/gpfs/DANQIC/ym0081/hf_cache/gemma2-ultrafeedback-armorm/dataset_dict/ 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-07
• train_batch_size: 1
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Framework versions

• Transformers 4.42.4
• Pytorch 2.2.2+cu121
• Datasets 2.18.0
• Tokenizers 0.19.1