gemma-ai-detect-v3-multilingual

mekjr1/gemma-ai-detect-v3-multilingual

gemma-ai-detect-v3-multilingual is a machine learning model from mekjr1. 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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Repo size

959 MB

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Hugging Face

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.safetensors314 MB · 95%

At a glance

Library: peft
License: gemma
Access: Public
Created: Oct 31, 2024
Updated: Oct 31, 2024
SHA: 0ac2bde1

Base models

google/gemma-2b-it

Model card

From the Hugging Face model README

gemma-ai-detect-v3-multilingual

This model is a fine-tuned version of google/gemma-2b-it on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1267
Accuracy: 0.9737
F1: 0.9787
Precision: 0.9802
Recall: 0.9772

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: 56
eval_batch_size: 56
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1048	1.0	1072	0.0781	0.9691	0.9751	0.9734	0.9767
0.0373	2.0	2144	0.0925	0.9701	0.9757	0.9817	0.9698
0.0073	3.0	3216	0.1267	0.9737	0.9787	0.9802	0.9772

Framework versions

PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.5.1+cu124
Datasets 2.18.0
Tokenizers 0.19.1

Library: peft
License: gemma
Created: Oct 31, 2024
Updated: Oct 31, 2024