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VideoMAE_Kinetics_fold__8__BdSLW60_SKF
Shawon16/VideoMAE_Kinetics_fold__8__BdSLW60_SKF
VideoMAE_Kinetics_fold__8__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 20, 2025
- Updated
- Nov 21, 2025
- SHA
- e9cf9c12
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__8__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: 0.0138
- Accuracy: 0.9975
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 |
|---|---|---|---|---|
| 8.2629 | 0.1 | 903 | 0.2782 | 0.9589 |
| 0.3726 | 1.1001 | 1807 | 0.0554 | 0.9863 |
| 0.0963 | 2.1 | 2710 | 0.0455 | 0.9913 |
| 0.0519 | 3.1001 | 3614 | 0.0183 | 0.9950 |
| 0.03 | 4.1 | 4517 | 0.0147 | 0.9963 |
| 0.0322 | 5.1001 | 5421 | 0.0086 | 0.9963 |
| 0.0127 | 6.1 | 6324 | 0.0070 | 0.9975 |
| 0.01 | 7.1001 | 7228 | 0.0158 | 0.9938 |
| 0.0021 | 8.1 | 8131 | 0.0356 | 0.9950 |
| 0.001 | 9.0995 | 9030 | 0.0138 | 0.9975 |
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 20, 2025
- Updated
- Nov 21, 2025