README.md

metadata

base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
  - generated_from_trainer
model-index:
  - name: Meta-Llama-3-8B_derta
    results: []
license: apache-2.0

Meta-Llama-3-8B-Instruct_derta_100step

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the Evol-Instruct and BeaverTails dataset. The model is continued to train 100 steps with DeRTa on LLaMA3-8B-Instruct.

Model description

Please refer to the paper Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training and GitHub DeRTa.

Input format:

[INST] Your Instruction [\INST]

Intended uses & limitations

The model is trained with DeRTa, showing a high safety performance.

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 16
• weight_decay: 2e-5
• eval_batch_size: 1
• seed: 1
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 128
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 2.0

Training results

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.0+cu118
• Datasets 2.10.0
• Tokenizers 0.19.1