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VideoMAE_4_CLASS_QUALITY_CHECK
Shawon16/VideoMAE_4_CLASS_QUALITY_CHECK
VideoMAE_4_CLASS_QUALITY_CHECK is a video classification model from Shawon16. 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
- Nov 10, 2025
- Updated
- Nov 10, 2025
- SHA
- 39856414
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_4_CLASS_QUALITY_CHECK
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0015
- Accuracy: 1.0
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use 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: 350
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.0723 | 0.02 | 7 | 1.3154 | 0.4286 |
| 4.5479 | 1.0214 | 15 | 1.0319 | 0.8571 |
| 3.6957 | 2.02 | 22 | 0.6454 | 0.8571 |
| 1.7212 | 3.0214 | 30 | 0.2796 | 1.0 |
| 0.6321 | 4.02 | 37 | 0.0587 | 1.0 |
| 0.0861 | 5.0214 | 45 | 0.0120 | 1.0 |
| 0.0166 | 6.02 | 52 | 0.0029 | 1.0 |
| 0.0047 | 7.0214 | 60 | 0.0018 | 1.0 |
| 0.0029 | 8.02 | 67 | 0.0015 | 1.0 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Nov 10, 2025
- Updated
- Nov 10, 2025