metadata

base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
  - generated_from_trainer
model-index:
  - name: >-
      Meta-Llama-3-8B_llama_wizardllm_sorry_3k_safe_3k_66k_diverse_must_refuse_purely_harmful_declar_drop_5_decay
    results: []

Meta-Llama-3-8B_llama_wizardllm_sorry_3k_safe_3k_66k_diverse_must_refuse_purely_harmful_declar_drop_5_decay

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None 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: 2e-05
train_batch_size: 16
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