README.md

metadata

library_name: transformers
base_model: llama-2-7b-instruct-sft
tags:
  - alignment-handbook
  - trl
  - dpo
  - alignment-handbook
  - generated_from_trainer
datasets:
  - xinlai/Math-Step-DPO-10K
model-index:
  - name: llama-2-7b-instruct-sft
    results: []

llama-2-7b-instruct-sft

This model is a fine-tuned version of llama-2-7b-instruct-sft on the xinlai/Math-Step-DPO-10K 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: 2
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• 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: 8.0

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1