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videomae-base-finetuned-deepfake-detection
Hemgg/videomae-base-finetuned-deepfake-detection
videomae-base-finetuned-deepfake-detection is a machine learning model from Hemgg. 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 cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Sep 4, 2025
- Updated
- Sep 4, 2025
- SHA
- fdefcb7e
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. -->
videomae-base-finetuned-deepfake-detection
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8397
- Accuracy: 0.0
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: 1
- eval_batch_size: 1
- 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5232 | 1.0 | 3 | 0.8397 | 0.0 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 4.0.0
- Tokenizers 0.14.1
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Sep 4, 2025
- Updated
- Sep 4, 2025