lora-llama3.2-3B-mcq

tommypraa/lora-llama3.2-3B-mcq

lora-llama3.2-3B-mcq is a machine learning model from tommypraa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.2.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: llama3.2
Access: Public
Created: Mar 30, 2025
Updated: Mar 30, 2025
SHA: eef1480e

Base models

meta-llama/Llama-3.2-3B

Model card

From the Hugging Face model README

lora-llama3.2-3B-mcq

This model is a fine-tuned version of meta-llama/Llama-3.2-3B on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.0528

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.8276	3	2.1547
No log	1.8276	6	2.0878
No log	2.8276	9	2.0528

Framework versions

PEFT 0.14.0
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1

Library: peft
License: llama3.2
Created: Mar 30, 2025
Updated: Mar 30, 2025