fake_vs_real_image_classifier

sgao2/fake_vs_real_image_classifier

fake_vs_real_image_classifier is a machine learning model from sgao2. 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: Oct 11, 2025
Updated: Oct 11, 2025
SHA: 57360610

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

results

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: 0.0892
Accuracy: 0.964

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1034	1.0	49	0.1510	0.941
0.0987	2.0	98	0.0384	0.988
0.085	3.0	147	0.0892	0.964

Framework versions

Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: vit
License: apache-2.0
Created: Oct 11, 2025
Updated: Oct 11, 2025