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videoMAE_BDSLW60_U5_20_coR_new
Shawon16/videoMAE_BDSLW60_U5_20_coR_new
videoMAE_BDSLW60_U5_20_coR_new 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
- Dec 6, 2025
- Updated
- Dec 6, 2025
- SHA
- 1559d733
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_BDSLW60_U5_20_coR_new
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: 0.1917
- Accuracy: 0.9717
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: 18560
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 10.5356 | 0.0501 | 929 | 0.8395 | 0.915 |
| 0.7941 | 1.0501 | 1858 | 0.1647 | 0.9517 |
| 0.1518 | 2.0501 | 2787 | 0.1761 | 0.97 |
| 0.0976 | 3.0501 | 3716 | 0.1843 | 0.9517 |
| 0.1091 | 4.0501 | 4645 | 0.1957 | 0.9567 |
| 0.1012 | 5.0501 | 5574 | 0.0935 | 0.98 |
| 0.0908 | 6.0501 | 6503 | 0.2095 | 0.96 |
| 0.1096 | 7.0501 | 7432 | 0.3195 | 0.945 |
| 0.0664 | 8.0501 | 8361 | 0.2069 | 0.9617 |
| 0.0671 | 9.0501 | 9290 | 0.4401 | 0.9483 |
| 0.0446 | 10.0501 | 10219 | 0.0913 | 0.9833 |
| 0.0329 | 11.0501 | 11148 | 0.2072 | 0.9617 |
| 0.0511 | 12.0501 | 12077 | 0.2706 | 0.9567 |
| 0.0379 | 13.0501 | 13006 | 0.1403 | 0.9683 |
| 0.0293 | 14.0501 | 13935 | 0.1547 | 0.9633 |
| 0.0171 | 15.0501 | 14864 | 0.1917 | 0.9717 |
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
- Dec 6, 2025
- Updated
- Dec 6, 2025