metadata

library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-3B
tags:
  - generated_from_trainer
datasets:
  - customized
model-index:
  - name: Llama-3.2-3B_gsm8k_qlora
    results: []

Llama-3.2-3B_gsm8k_qlora

This model is a fine-tuned version of meta-llama/Llama-3.2-3B on the customized 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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 0.01
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3