Swin-Tiny-Patch4-Window7-224-Finetuned-AI non-open-source model

Swin Tiny Patch4 Window7 224 Finetuned Ai Not

Developed by LukeSajkowski

Fine-tuned model based on Swin Transformer architecture for AI-generated content detection tasks

Open Source License:Apache-2.0 #High-precision image classification #Swin Transformer architecture #Small window attention mechanism

Downloads 17

Release Time : 2/15/2023

Model Overview

This model is a fine-tuned version based on the Swin Transformer architecture, primarily used for detecting AI-generated content, demonstrating high accuracy and F1 scores on evaluation datasets.

Model Features

High-accuracy detection

Achieves 97.96% accuracy and 97.94% F1 score on evaluation datasets

Based on Swin Transformer

Utilizes the advanced Swin Transformer architecture with excellent feature extraction capabilities

Lightweight model

Uses the tiny version to reduce computational resource requirements while maintaining performance

Model Capabilities

AI-generated content detection

Image classification

Feature extraction

Use Cases

Content moderation

AI-generated image detection

Identify whether images are generated by AI

97.96% accuracy

Security verification

Digital content authenticity verification

Verify the authenticity of digital content to prevent AI-generated content from impersonating real content

Property	Details
learning_rate	5e - 05
train_batch_size	32
eval_batch_size	32
seed	42
gradient_accumulation_steps	4
total_train_batch_size	128
optimizer	Adam with betas=(0.9,0.999) and epsilon=1e - 08
lr_scheduler_type	linear
lr_scheduler_warmup_ratio	0.1
num_epochs	10

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Log Loss
0.1026	1.0	131	0.0761	0.9715	0.9713	0.9831
0.1111	2.0	262	0.1050	0.9597	0.9591	1.3912
0.0736	3.0	393	0.0736	0.9748	0.9745	0.8718
0.0708	4.0	524	0.0888	0.9694	0.9690	1.0573
0.0439	5.0	655	0.0998	0.9683	0.9679	1.0944
0.0514	6.0	786	0.0854	0.9705	0.9701	1.0202
0.0361	7.0	917	0.0737	0.9780	0.9778	0.7605
0.0256	8.0	1048	0.0764	0.9801	0.9799	0.6863
0.0375	9.0	1179	0.0740	0.9785	0.9783	0.7420
0.0257	10.0	1310	0.0827	0.9796	0.9794	0.7049

Property	Details
Transformers	4.26.1
Pytorch	1.13.1+cu116
Datasets	2.9.0
Tokenizers	0.13.2

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Swin Tiny Patch4 Window7 224 Finetuned Ai Not

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