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RALL_RGBCROP_Aug16F-WD01
TanAlexanderlz/RALL_RGBCROP_Aug16F-WD01
RALL_RGBCROP_Aug16F-WD01 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 31, 2025
- Updated
- May 31, 2025
- SHA
- b7b3ded7
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_RGBCROP_Aug16F-WD01
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: 0.7867
- Accuracy: 0.8414
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: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 3462
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4949 | 0.0835 | 289 | 0.5840 | 0.6973 |
| 0.2616 | 1.0835 | 578 | 0.5304 | 0.7955 |
| 0.078 | 2.0835 | 867 | 0.7102 | 0.7975 |
| 0.0089 | 3.0835 | 1156 | 0.9156 | 0.7935 |
| 0.0012 | 4.0835 | 1445 | 1.0430 | 0.7914 |
| 0.0005 | 5.0835 | 1734 | 1.0521 | 0.8037 |
| 0.0006 | 6.0835 | 2023 | 1.0802 | 0.8119 |
| 0.0002 | 7.0835 | 2312 | 1.1696 | 0.8078 |
| 0.0003 | 8.0835 | 2601 | 1.1930 | 0.8139 |
| 0.0002 | 9.0835 | 2890 | 1.2366 | 0.8078 |
| 0.0002 | 10.0835 | 3179 | 1.2292 | 0.8098 |
| 0.0002 | 11.0817 | 3462 | 1.2295 | 0.8098 |
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 31, 2025
- Updated
- May 31, 2025