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videomae-base-finetuned-deception-dataset
T-5ive/videomae-base-finetuned-deception-dataset
videomae-base-finetuned-deception-dataset is a video classification model from T-5ive. Use it for the video classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. 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
- Task
- Video Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Apr 25, 2025
- Updated
- Apr 25, 2025
- SHA
- 7ba50acd
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-deception-dataset
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: 1.8677
- Accuracy: 0.5679
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: 13
- eval_batch_size: 13
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 26
- 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
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 368
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6819 | 1.0 | 24 | 0.6935 | 0.4444 |
| 0.6136 | 2.0 | 48 | 0.9791 | 0.5185 |
| 0.3068 | 3.0 | 72 | 1.5908 | 0.5679 |
| 0.2164 | 4.0 | 96 | 0.9361 | 0.5926 |
| 0.2 | 5.0 | 120 | 1.6885 | 0.5309 |
| 0.3087 | 6.0 | 144 | 0.9806 | 0.7284 |
| 0.1689 | 7.0 | 168 | 1.3332 | 0.5556 |
| 0.1326 | 8.0 | 192 | 1.2937 | 0.5802 |
| 0.1132 | 9.0 | 216 | 1.7412 | 0.5432 |
| 0.0967 | 10.0 | 240 | 1.8026 | 0.5556 |
| 0.1155 | 11.0 | 264 | 2.0465 | 0.5556 |
| 0.0826 | 12.0 | 288 | 2.1887 | 0.5556 |
| 0.1027 | 13.0 | 312 | 2.1518 | 0.5432 |
| 0.0714 | 14.0 | 336 | 2.1663 | 0.5432 |
| 0.0654 | 15.0 | 360 | 1.8426 | 0.5679 |
| 0.0654 | 15.3404 | 368 | 1.8677 | 0.5679 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.1.0+cu121
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Apr 25, 2025
- Updated
- Apr 25, 2025