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VideoMAE_BdSLW60_FrameRateCorrected_withAug_100
Shawon16/VideoMAE_BdSLW60_FrameRateCorrected_withAug_100
VideoMAE_BdSLW60_FrameRateCorrected_withAug_100 is a video classification model from Shawon16. 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 14, 2024
- Updated
- Nov 15, 2024
- SHA
- 118cc9a7
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_BdSLW60_FrameRateCorrected_withAug_100
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: 0.5588
- Accuracy: 0.8973
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 22400
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.0699 | 0.0400 | 897 | 2.4541 | 0.4753 |
| 0.6366 | 1.0401 | 1795 | 0.6832 | 0.84 |
| 0.2253 | 2.0401 | 2693 | 0.3464 | 0.9024 |
| 0.1229 | 3.0401 | 3591 | 0.1467 | 0.9647 |
| 0.1045 | 4.0400 | 4488 | 0.1459 | 0.9635 |
| 0.0631 | 5.0401 | 5386 | 0.1313 | 0.9718 |
| 0.0736 | 6.0401 | 6284 | 0.1807 | 0.9635 |
| 0.0673 | 7.0401 | 7182 | 0.1464 | 0.9694 |
| 0.0239 | 8.0400 | 8079 | 0.1932 | 0.9576 |
| 0.0868 | 9.0401 | 8977 | 0.0563 | 0.9882 |
| 0.0016 | 10.0401 | 9875 | 0.0844 | 0.9776 |
| 0.0318 | 11.0401 | 10773 | 0.1123 | 0.9753 |
| 0.0144 | 12.0400 | 11670 | 0.0499 | 0.9894 |
| 0.0028 | 13.0401 | 12568 | 0.0809 | 0.9871 |
| 0.0074 | 14.0401 | 13466 | 0.0455 | 0.9929 |
| 0.0002 | 15.0401 | 14364 | 0.0581 | 0.9906 |
| 0.0077 | 16.0400 | 15261 | 0.0502 | 0.9894 |
| 0.0005 | 17.0401 | 16159 | 0.0407 | 0.9929 |
| 0.0004 | 18.0401 | 17057 | 0.0550 | 0.9906 |
| 0.0001 | 19.0401 | 17955 | 0.0583 | 0.9929 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Nov 14, 2024
- Updated
- Nov 15, 2024