---
library_name: peft
license: other
base_model: NousResearch/Meta-Llama-3-8B
tags:
- base_model:adapter:NousResearch/Meta-Llama-3-8B
- llama-factory
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: Llama3-8B-Web3-Audit
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama3-8B-Web3-Audit

This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) on the my_web3_data 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.4.0
- Datasets 4.0.0
- Tokenizers 0.22.1