metadata

base_model: meta-llama/Llama-3.2-3B-Instruct
datasets:
  - tatsu-lab/alpaca
language: en
tags:
  - torchtune

my_cool_model

This model is a finetuned version of meta-llama/Llama-3.2-3B-Instruct on the tatsu-lab/alpaca dataset.

Model description

More information needed

Training and evaluation results

More information needed

Training procedure

This model was trained using the torchtune library using the following command:

ppo_full_finetune_single_device.py \
 --config ./target/7B_full_ppo_low_memory_single_device.yaml \
 device=cuda \
 metric_logger._component_=torchtune.utils.metric_logging.WandBLogger \
 metric_logger.project=torchtune_ppo \
 forward_batch_size=2 \
 batch_size=64 \
 ppo_batch_size=32 \
 gradient_accumulation_steps=16 \
 compile=True \
 optimizer._component_=bitsandbytes.optim.PagedAdamW \
 optimizer.lr=3e-4

Framework versions

torchtune 0.0.0
torchao 0.5.0
datasets 2.20.0
sentencepiece 0.2.0