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videomae-base-finetuned-kinetics-0211-val
d2o2ji/videomae-base-finetuned-kinetics-0211-val
videomae-base-finetuned-kinetics-0211-val 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 11, 2025
- Updated
- Feb 11, 2025
- SHA
- a9e31d05
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-0211-val
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: 0.8226
- Accuracy: 0.7474
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: 5850
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1638 | 0.0333 | 195 | 1.6381 | 0.4142 |
| 0.0035 | 1.0333 | 390 | 1.4162 | 0.4349 |
| 0.0206 | 2.0333 | 585 | 3.8252 | 0.3432 |
| 0.0139 | 3.0333 | 780 | 3.2767 | 0.2456 |
| 0.007 | 4.0333 | 975 | 2.7539 | 0.2959 |
| 0.0083 | 5.0333 | 1170 | 2.8000 | 0.4349 |
| 0.0014 | 6.0333 | 1365 | 2.7028 | 0.4467 |
| 0.0054 | 7.0333 | 1560 | 2.0244 | 0.5030 |
| 0.0005 | 8.0333 | 1755 | 3.2895 | 0.2692 |
| 0.0003 | 9.0333 | 1950 | 3.3746 | 0.2959 |
| 0.0001 | 10.0333 | 2145 | 2.3001 | 0.4556 |
| 0.0032 | 11.0333 | 2340 | 3.1056 | 0.4172 |
| 0.1476 | 12.0333 | 2535 | 2.9392 | 0.4231 |
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 11, 2025
- Updated
- Feb 11, 2025