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BxSD_RGBCROP_Aug16F-8B16F-GACWDlr
TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F-GACWDlr
BxSD_RGBCROP_Aug16F-8B16F-GACWDlr is a video classification model from TanAlexanderlz. 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
- May 28, 2025
- Updated
- May 28, 2025
- SHA
- 22d464e0
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. -->
BxSD_RGBCROP_Aug16F-8B16F-GACWDlr
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1426
- Accuracy: 0.9590
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.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_ratio: 0.1
- training_steps: 2230
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.663 | 0.0251 | 56 | 0.6602 | 0.6354 |
| 0.4419 | 1.0251 | 112 | 0.4703 | 0.8125 |
| 0.1752 | 2.0251 | 168 | 0.3134 | 0.8906 |
| 0.0656 | 3.0251 | 224 | 0.2311 | 0.9375 |
| 0.0046 | 4.0251 | 280 | 0.2808 | 0.9427 |
| 0.0012 | 5.0251 | 336 | 0.2592 | 0.9427 |
| 0.0007 | 6.0251 | 392 | 0.2576 | 0.9479 |
| 0.0005 | 7.0251 | 448 | 0.2631 | 0.9479 |
| 0.0004 | 8.0251 | 504 | 0.2745 | 0.9479 |
| 0.0004 | 9.0251 | 560 | 0.2814 | 0.9479 |
| 0.0003 | 10.0251 | 616 | 0.2863 | 0.9479 |
| 0.0002 | 11.0251 | 672 | 0.2850 | 0.9479 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- May 28, 2025
- Updated
- May 28, 2025