Downloads · 30 days
17
3% of all-time downloads
videomae-base-finetuned-ucf101-subset
tihon-nth/videomae-base-finetuned-ucf101-subset
videomae-base-finetuned-ucf101-subset is a video classification model from tihon-nth. 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. --
All-time downloads
613
Public
Parameters
86.2M
345 MB on disk
Likes
3
Public
Repo makeup
Click a slice to open those files.
.safetensors345 MB · 100%
At a glance
- Task
- Video Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Aug 27, 2026
- Updated
- Sep 7, 2026
- SHA
- 5af8069c
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: 0.0213
- Accuracy: 0.8645
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
- training_steps: 370
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0529 | 0.1027 | 38 | 0.0702 | 0.6 |
| 0.0353 | 1.1027 | 76 | 0.0510 | 0.5143 |
| 0.0187 | 2.1027 | 114 | 0.0467 | 0.5571 |
| 0.0130 | 3.1027 | 152 | 0.0279 | 0.7286 |
| 0.0108 | 4.1027 | 190 | 0.0133 | 0.9143 |
| 0.0031 | 5.1027 | 228 | 0.0095 | 0.9286 |
| 0.0060 | 6.1027 | 266 | 0.0213 | 0.8143 |
| 0.0030 | 7.1027 | 304 | 0.0105 | 0.9429 |
| 0.0029 | 8.1027 | 342 | 0.0114 | 0.9429 |
| 0.0023 | 9.0757 | 370 | 0.0099 | 0.9429 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.14.0+cu126
- Datasets 5.0.1
- Tokenizers 0.23.2
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Aug 27, 2026
- Updated
- Sep 7, 2026