Gemma3_12B_PT_Checkpoints

aayush7511/Gemma3_12B_PT_Checkpoints

Gemma3_12B_PT_Checkpoints is a machine learning model from aayush7511. 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 gemma.

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

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Hugging Face

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.safetensors274 MB · 87%

At a glance

Library: peft
License: gemma
Access: Public
Created: Dec 28, 2025
Updated: Dec 28, 2025
SHA: f3fe21d8

Base models

google/gemma-3-12b-pt

Model card

From the Hugging Face model README

Gemma3_12B_PT_Checkpoints

This model is a fine-tuned version of google/gemma-3-12b-pt on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1984
Accuracy: 0.796
Precision: 0.582
Recall: 0.813
Auc: 0.847

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: 0.0002
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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	Accuracy	Precision	Recall	Auc
0.2849	1.0	73	0.3395	0.51	0.347	0.964	0.759
0.2075	2.0	146	0.2094	0.724	0.489	0.908	0.826
0.1453	3.0	219	0.1984	0.796	0.582	0.813	0.847

Framework versions

PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.2
Tokenizers 0.22.1

Library: peft
License: gemma
Created: Dec 28, 2025
Updated: Dec 28, 2025