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Real_RGBCROP_Aug16F-8B16F5e6-poly
TanAlexanderlz/Real_RGBCROP_Aug16F-8B16F5e6-poly
Real_RGBCROP_Aug16F-8B16F5e6-poly 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
- Jun 1, 2025
- Updated
- Jun 1, 2025
- SHA
- b7602f37
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. -->
Real_RGBCROP_Aug16F-8B16F5e6-poly
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: 1.0455
- Accuracy: 0.7516
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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: polynomial
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2112
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5535 | 0.0838 | 177 | 0.6608 | 0.6 |
| 0.2099 | 1.0838 | 354 | 0.6066 | 0.6967 |
| 0.1234 | 2.0838 | 531 | 0.7195 | 0.71 |
| 0.0375 | 3.0838 | 708 | 0.9196 | 0.7233 |
| 0.0023 | 4.0838 | 885 | 1.1401 | 0.72 |
| 0.0052 | 5.0838 | 1062 | 1.1748 | 0.73 |
| 0.002 | 6.0838 | 1239 | 1.2629 | 0.7133 |
| 0.0007 | 7.0838 | 1416 | 1.3239 | 0.7167 |
| 0.0005 | 8.0838 | 1593 | 1.3644 | 0.7233 |
| 0.0007 | 9.0838 | 1770 | 1.3876 | 0.7167 |
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
- Jun 1, 2025
- Updated
- Jun 1, 2025