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videomae-base-finetuned-ucf101-subset
AbdullahTheScientist/videomae-base-finetuned-ucf101-subset
videomae-base-finetuned-ucf101-subset is a video classification model from AbdullahTheScientist. 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
- Aug 16, 2026
- Updated
- Aug 20, 2026
- SHA
- 01ff87ac
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-ucf101-subset
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: 0.5636
- Accuracy: 0.7653
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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 180
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7247 | 0.1056 | 19 | 0.8829 | 0.4706 |
| 0.7329 | 1.1056 | 38 | 0.6797 | 0.5647 |
| 0.6976 | 2.1056 | 57 | 0.7128 | 0.5294 |
| 0.7717 | 3.1056 | 76 | 0.6812 | 0.5294 |
| 0.6792 | 4.1056 | 95 | 0.7052 | 0.4706 |
| 0.6363 | 5.1056 | 114 | 0.5786 | 0.7176 |
| 0.6078 | 6.1056 | 133 | 0.7522 | 0.5529 |
| 0.5683 | 7.1056 | 152 | 0.5900 | 0.7294 |
| 0.5440 | 8.1056 | 171 | 0.5766 | 0.7529 |
| 0.4288 | 9.05 | 180 | 0.5660 | 0.7294 |
Framework versions
- Transformers 5.15.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Aug 16, 2026
- Updated
- Aug 20, 2026