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videomae-base-finetuned-ucf-crimevbinary-balanced-v2
shahadalll/videomae-base-finetuned-ucf-crimevbinary-balanced-v2
videomae-base-finetuned-ucf-crimevbinary-balanced-v2 is a video classification model from shahadalll. 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
- Nov 16, 2024
- Updated
- Nov 16, 2024
- SHA
- 9ab2b276
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-ucf-crimevbinary-balanced-v2
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: 0.4152
- Accuracy: 0.8611
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: 3e-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_steps: 500
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7145 | 1.0 | 29 | 0.6655 | 0.6667 |
| 0.6129 | 2.0 | 58 | 0.5762 | 0.75 |
| 0.4643 | 3.0 | 87 | 0.4933 | 0.8333 |
| 0.4492 | 4.0 | 116 | 0.4950 | 0.8056 |
| 0.4217 | 5.0 | 145 | 0.4098 | 0.8333 |
| 0.3298 | 6.0 | 174 | 0.6611 | 0.75 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Nov 16, 2024
- Updated
- Nov 16, 2024