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videoMAE_base_wlasl_100_30ep_coR
Shawon16/videoMAE_base_wlasl_100_30ep_coR
videoMAE_base_wlasl_100_30ep_coR 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 2, 2025
- Updated
- Dec 2, 2025
- SHA
- 29f0c65f
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_100_30ep_coR
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: 4.4320
- Accuracy: 0.0237
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: 5400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 18.6471 | 0.0333 | 180 | 4.6379 | 0.0118 |
| 18.6042 | 1.0333 | 360 | 4.6276 | 0.0178 |
| 18.5574 | 2.0332 | 540 | 4.6139 | 0.0207 |
| 18.3992 | 3.0334 | 721 | 4.6085 | 0.0266 |
| 18.4284 | 4.0333 | 901 | 4.6058 | 0.0266 |
| 18.2402 | 5.0333 | 1081 | 4.6119 | 0.0266 |
| 18.1026 | 6.0332 | 1261 | 4.6158 | 0.0178 |
| 17.6285 | 7.0334 | 1442 | 4.5742 | 0.0266 |
| 17.0193 | 8.0333 | 1622 | 4.4320 | 0.0237 |
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 2, 2025
- Updated
- Dec 2, 2025