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deepfake_vs_real_image_detection_v4
griseldans/deepfake_vs_real_image_detection_v4
deepfake_vs_real_image_detection_v4 is a image classification model from griseldans. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Nov 28, 2025
- Updated
- Nov 28, 2025
- SHA
- a6bc46ed
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
deepfake_vs_real_image_detection_v4
This model is a fine-tuned version of dima806/deepfake_vs_real_image_detection on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2940
- Accuracy: 0.9436
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5002 | 0.3225 | 1000 | 0.3300 | 0.9178 |
| 1.3774 | 0.6450 | 2000 | 0.3153 | 0.9271 |
| 1.3372 | 0.9674 | 3000 | 0.2940 | 0.9436 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Nov 28, 2025
- Updated
- Nov 28, 2025