lora-llama-3.2b-instruct

codesiddhant/lora-llama-3.2b-instruct

lora-llama-3.2b-instruct is a machine learning model from codesiddhant. 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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.json34.5 MB · 83%

At a glance

Library: peft
License: llama3.2
Access: Public
Created: Apr 25, 2025
Updated: Apr 27, 2025
SHA: 35c4e90d

Base models

meta-llama/Llama-3.2-1B-Instruct

Model card

From the Hugging Face model README

lora-llama-3.2b-instruct

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0351

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
gradient_accumulation_steps: 4
total_train_batch_size: 4
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
0.119	0.3125	50	0.1116
0.0695	0.625	100	0.0709
0.049	0.9375	150	0.0506
0.05	1.25	200	0.0436
0.0367	1.5625	250	0.0398
0.033	1.875	300	0.0376
0.03	2.1875	350	0.0362
0.0312	2.5	400	0.0355
0.0299	2.8125	450	0.0351

Framework versions

PEFT 0.14.0
Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0

Library: peft
License: llama3.2
Created: Apr 25, 2025
Updated: Apr 27, 2025