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unlearn-cl_ucf101_videomae-base_random_label_2_42
jialicheng/unlearn-cl_ucf101_videomae-base_random_label_2_42
unlearn-cl_ucf101_videomae-base_random_label_2_42 is a video classification model from jialicheng. Use it for the video classification task on the model card, and read the license before you ship it in a product. 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
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Nov 7, 2025
- Updated
- Nov 7, 2025
- SHA
- 849aa551
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. -->
ucf101_42
This model is a fine-tuned version of MCG-NJU/videomae-base on the ucf101 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7072
- Accuracy: 0.8136
- Test Accuracy: 0.8136
- Df Accuracy: 0.9481
- Unlearn Overall Accuracy: 0.4328
- Unlearn Time: 4186.2547
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: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|---|---|---|---|---|---|---|---|
| No log | 1.01 | 300 | 0.9100 | 0.9229 | 0.4109 | 0.4109 | -1 |
| No log | 2.01 | 600 | 0.9158 | 0.9095 | 0.4275 | 0.4275 | -1 |
| No log | 2.99 | 894 | 0.7063 | 0.9481 | 0.4328 | 0.4328 | -1 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Video Classification
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Nov 7, 2025
- Updated
- Nov 7, 2025