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Deepfake-image
Hemg/Deepfake-image
Deepfake-image is a image classification model from Hemg. 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
- Apr 29, 2024
- Updated
- Apr 29, 2024
- SHA
- ff11a213
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-image
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: 0.0662
- Accuracy: 0.9743
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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2672 | 1.0 | 297 | 0.1128 | 0.9577 |
| 0.0958 | 2.0 | 595 | 0.0953 | 0.9634 |
| 0.0816 | 3.0 | 892 | 0.0776 | 0.9694 |
| 0.0712 | 4.0 | 1190 | 0.0746 | 0.9707 |
| 0.0647 | 5.0 | 1487 | 0.0680 | 0.9726 |
| 0.0616 | 6.0 | 1785 | 0.0656 | 0.9735 |
| 0.0565 | 7.0 | 2082 | 0.0676 | 0.9736 |
| 0.0533 | 7.99 | 2376 | 0.0662 | 0.9743 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 29, 2024
- Updated
- Apr 29, 2024