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vit-ai-detection
Dabbrata109/vit-ai-detection
vit-ai-detection is a image classification model from Dabbrata109. 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
- Aug 8, 2025
- Updated
- Aug 15, 2025
- SHA
- 0847a12a
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. -->
vit-ai-detection
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2207
- Accuracy: 0.935
- F1: 0.9362
- Precision: 0.9196
- Recall: 0.9533
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.5149 | 1.0 | 85 | 0.4891 | 0.8794 | 0.8845 | 0.8486 | 0.9235 |
| 0.2523 | 2.0 | 170 | 0.2633 | 0.9206 | 0.9202 | 0.9243 | 0.9162 |
| 0.2287 | 3.0 | 255 | 0.2351 | 0.9257 | 0.9260 | 0.9226 | 0.9294 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Aug 8, 2025
- Updated
- Aug 15, 2025