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RALL_RGBCROP_ori32F-8B32F
TanAlexanderlz/RALL_RGBCROP_ori32F-8B32F
RALL_RGBCROP_ori32F-8B32F 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
- fed903f1
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_ori32F-8B32F
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: 0.5199
- Accuracy: 0.7651
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: 1152
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5935 | 0.0842 | 97 | 0.6120 | 0.6564 |
| 0.5701 | 1.0842 | 194 | 0.5455 | 0.7117 |
| 0.4129 | 2.0842 | 291 | 0.6972 | 0.6687 |
| 0.3013 | 3.0842 | 388 | 0.5767 | 0.7362 |
| 0.2225 | 4.0842 | 485 | 0.5957 | 0.7669 |
| 0.1328 | 5.0842 | 582 | 0.9459 | 0.7301 |
| 0.09 | 6.0842 | 679 | 1.0717 | 0.7301 |
| 0.3032 | 7.0842 | 776 | 1.1080 | 0.7301 |
| 0.1587 | 8.0842 | 873 | 1.1592 | 0.7301 |
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