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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_MATH_qlora
    results: []

Llama-3.2-3B_MATH_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