---
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: []
---

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# 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 [/222043014/ciphersafe/llms/Meta-Llama-3-8B](https://huggingface.co//222043014/ciphersafe/llms/Meta-Llama-3-8B) 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