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VideoMAE_LSA64SR_8_kineticsFinetuned
Shawon16/VideoMAE_LSA64SR_8_kineticsFinetuned
VideoMAE_LSA64SR_8_kineticsFinetuned 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
- Jan 31, 2025
- Updated
- Nov 7, 2025
- SHA
- ed80b900
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_LSA64SR_12_kineticsFinetuned
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: 0.0005
- Accuracy: 1.0
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
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: 5760
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 14.4931 | 0.05 | 288 | 2.1667 | 0.7617 | 0.7968 | 0.7617 | 0.7337 |
| 2.5661 | 1.0500 | 576 | 0.2914 | 0.9805 | 0.9734 | 0.9805 | 0.9752 |
| 0.27 | 2.0500 | 864 | 0.0165 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0167 | 3.0500 | 1152 | 0.0026 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.037 | 4.0500 | 1440 | 0.0018 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.045 | 5.0500 | 1728 | 0.0008 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.006 | 6.0500 | 2016 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0022 | 7.0500 | 2304 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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
- Jan 31, 2025
- Updated
- Nov 7, 2025