README.md

metadata

base_model: meta-llama/Llama-3.2-3B-Instruct
library_name: peft
license: llama3.2
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: llama32-v2
    results: []

llama32-v2

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on an unknown 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: 0.00015
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine_with_restarts
• num_epochs: 3

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.45.1
• Pytorch 2.4.1+cu121
• Datasets 2.20.0
• Tokenizers 0.20.0