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VideoMAE_Base_wlasl_2000_longtail_20
Shawon16/VideoMAE_Base_wlasl_2000_longtail_20
VideoMAE_Base_wlasl_2000_longtail_20 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 13, 2025
- Updated
- Nov 14, 2025
- SHA
- b9bf2568
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_wlasl_2000_longtail_20
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: 7.8221
- Accuracy: 0.0033
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: 35720
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 30.6409 | 0.05 | 1786 | 7.6310 | 0.0005 |
| 30.5597 | 1.0500 | 3572 | 7.6175 | 0.0005 |
| 30.4316 | 2.0500 | 5358 | 7.6035 | 0.0010 |
| 30.2683 | 3.0500 | 7145 | 7.5938 | 0.0020 |
| 30.0727 | 4.05 | 8931 | 7.6268 | 0.0018 |
| 29.84 | 5.0500 | 10717 | 7.6477 | 0.0026 |
| 29.5721 | 6.0500 | 12503 | 7.6825 | 0.0023 |
| 29.2352 | 7.0500 | 14290 | 7.7271 | 0.0023 |
| 28.9425 | 8.05 | 16076 | 7.7662 | 0.0041 |
| 28.6146 | 9.0500 | 17862 | 7.7746 | 0.0031 |
| 28.3135 | 10.0500 | 19648 | 7.7994 | 0.0028 |
| 27.985 | 11.0500 | 21435 | 7.8092 | 0.0036 |
| 27.6736 | 12.05 | 23221 | 7.8222 | 0.0028 |
| 27.3741 | 13.0500 | 25007 | 7.8221 | 0.0033 |
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 13, 2025
- Updated
- Nov 14, 2025