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RALL_NoCrop-ori16F-8B16F
TanAlexanderlz/RALL_NoCrop-ori16F-8B16F
RALL_NoCrop-ori16F-8B16F 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
- 2d8a6178
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. -->
RALL_NoCrop-ori16F-8B16F
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: 0.7500
- Accuracy: 0.8012
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: 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: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1920
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.565 | 0.0505 | 97 | 0.5722 | 0.7423 |
| 0.4674 | 1.0505 | 194 | 0.4892 | 0.7607 |
| 0.5498 | 2.0505 | 291 | 0.4520 | 0.7791 |
| 0.2932 | 3.0505 | 388 | 0.5798 | 0.7730 |
| 0.2242 | 4.0505 | 485 | 0.6877 | 0.7730 |
| 0.1464 | 5.0505 | 582 | 0.9031 | 0.7914 |
| 0.197 | 6.0505 | 679 | 0.8950 | 0.7730 |
| 0.1086 | 7.0505 | 776 | 1.2688 | 0.7730 |
| 0.0113 | 8.0505 | 873 | 1.2775 | 0.7730 |
| 0.0129 | 9.0505 | 970 | 1.1965 | 0.7853 |
| 0.1159 | 10.0505 | 1067 | 1.1686 | 0.7669 |
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