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videomae-base-finetuned-kinetics-0212-ntu-2
d2o2ji/videomae-base-finetuned-kinetics-0212-ntu-2
videomae-base-finetuned-kinetics-0212-ntu-2 is a video classification model from d2o2ji. 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
- Feb 12, 2025
- Updated
- Feb 13, 2025
- SHA
- ad38c0c5
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-finetuned-kinetics-0212-ntu-2
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: 0.4999
- Accuracy: 0.8045
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: 8
- eval_batch_size: 8
- seed: 42
- 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: 0.05
- training_steps: 5940
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1975 | 0.0333 | 198 | 0.3443 | 0.8467 |
| 0.017 | 1.0333 | 396 | 1.2150 | 0.6015 |
| 0.6709 | 2.0333 | 594 | 0.6020 | 0.7425 |
| 0.0109 | 3.0333 | 792 | 0.8232 | 0.7719 |
| 0.0345 | 4.0333 | 990 | 0.5279 | 0.7848 |
| 0.0015 | 5.0333 | 1188 | 1.0265 | 0.6389 |
| 0.0008 | 6.0333 | 1386 | 0.4482 | 0.8289 |
| 0.002 | 7.0333 | 1584 | 1.3104 | 0.7216 |
| 0.0015 | 8.0333 | 1782 | 0.9066 | 0.7964 |
| 0.0004 | 9.0333 | 1980 | 0.6252 | 0.8228 |
| 0.0003 | 10.0333 | 2178 | 0.7319 | 0.8326 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Feb 12, 2025
- Updated
- Feb 13, 2025