AI-VS-REAL-IMAGE-DETECTION

Aby101/AI-VS-REAL-IMAGE-DETECTION

AI-VS-REAL-IMAGE-DETECTION is a machine learning model from Aby101. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

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Hugging Face

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At a glance

License: apache-2.0
Model type: vit
Access: Public
Created: Feb 13, 2026
Updated: Feb 13, 2026
SHA: bcf1d456

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

AI-VS-REAL-IMAGE-DETECTION

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1088
Accuracy: 0.9584

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: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3177	1.0	240	0.1919	0.9218
0.148	2.0	481	0.1288	0.9505
0.113	3.0	722	0.1188	0.9539
0.0953	3.99	960	0.1088	0.9584

Framework versions

Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

Type: vit
License: apache-2.0
Created: Feb 13, 2026
Updated: Feb 13, 2026