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VideoMAE_Kinetics_fold__3__BdSLW60_SKF
Shawon16/VideoMAE_Kinetics_fold__3__BdSLW60_SKF
VideoMAE_Kinetics_fold__3__BdSLW60_SKF 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 15, 2025
- Updated
- Nov 19, 2025
- SHA
- 95fd2d76
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_Kinetics_fold__3__BdSLW60_SKF
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: 0.0284
- Accuracy: 0.9963
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: 9030
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 8.4384 | 0.1 | 903 | 0.3165 | 0.9440 |
| 0.3934 | 1.1001 | 1807 | 0.0428 | 0.9851 |
| 0.0771 | 2.1 | 2710 | 0.0484 | 0.9913 |
| 0.0486 | 3.1001 | 3614 | 0.0758 | 0.9875 |
| 0.0303 | 4.1 | 4517 | 0.0677 | 0.9900 |
| 0.0316 | 5.1001 | 5421 | 0.0564 | 0.9888 |
| 0.0263 | 6.1 | 6324 | 0.0408 | 0.9950 |
| 0.0076 | 7.1001 | 7228 | 0.0525 | 0.9913 |
| 0.0135 | 8.1 | 8131 | 0.0340 | 0.9963 |
| 0.007 | 9.0995 | 9030 | 0.0284 | 0.9963 |
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 15, 2025
- Updated
- Nov 19, 2025