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unlearn_ucf101_videomae-base_neggrad_4_42
jialicheng/unlearn_ucf101_videomae-base_neggrad_4_42
unlearn_ucf101_videomae-base_neggrad_4_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
- 1b4856bc
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: -12.3192
- Accuracy: 0.0048
- Test Accuracy: 0.0048
- Df Accuracy: 0.0034
- Unlearn Overall Accuracy: 0.5007
- Unlearn Time: 1439.1272
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 | 1.25 | 16 | -10.2139 | 0.0060 | 0.5000 | 0.5000 | -1 |
| No log | 2.25 | 32 | -12.3192 | 0.0034 | 0.5007 | 0.5007 | -1 |
| No log | 2.31 | 36 | -12.3689 | 0.0034 | 0.5007 | 0.5007 | -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