README.md

metadata

license: gemma
base_model: google/gemma-1.1-2b-it
tags:
  - alignment-handbook
  - trl
  - dpo
  - generated_from_trainer
  - trl
  - dpo
  - generated_from_trainer
datasets:
  - cat-searcher/responses-gemma-1.1-2b-it-split-0-evol-mixed-pair
model-index:
  - name: gemma-1.1-2b-it-sppo-iter0-evol-mixed
    results: []

gemma-1.1-2b-it-sppo-iter0-evol-mixed

This model is a fine-tuned version of google/gemma-1.1-2b-it on the cat-searcher/responses-gemma-1.1-2b-it-split-0-evol-mixed-pair 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: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 18.0

Training results

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1