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vit-real-fake-classification-v3
date3k2/vit-real-fake-classification-v3
vit-real-fake-classification-v3 is a image classification model from date3k2. 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
- Jun 4, 2024
- Updated
- Jun 4, 2024
- SHA
- 64662fda
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-real-fake-classification-v3
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0541
- Accuracy: 0.9817
- F1: 0.9834
- Recall: 0.9834
- Precision: 0.9834
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 0.2481 | 1.0 | 233 | 0.0846 | 0.9667 | 0.9699 | 0.9737 | 0.9662 |
| 0.1881 | 2.0 | 466 | 0.0773 | 0.9726 | 0.9756 | 0.9912 | 0.9604 |
| 0.1036 | 3.0 | 699 | 0.0691 | 0.9774 | 0.9796 | 0.9815 | 0.9777 |
| 0.0007 | 4.0 | 932 | 0.0698 | 0.9817 | 0.9835 | 0.9854 | 0.9816 |
| 0.0029 | 5.0 | 1165 | 0.0541 | 0.9817 | 0.9834 | 0.9834 | 0.9834 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jun 4, 2024
- Updated
- Jun 4, 2024