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llama3.2-3b-LoRA-bslm-product-catalogs

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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-v0
    results: []

llama32-v0

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: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine_with_restarts
  • num_epochs: 2

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.0
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1