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RALL_RGBCROP_Aug16F-8B16F-GACWDlr
TanAlexanderlz/RALL_RGBCROP_Aug16F-8B16F-GACWDlr
RALL_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 31, 2025
- Updated
- May 31, 2025
- SHA
- 901f6036
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-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: 0.7229
- Accuracy: 0.8373
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: 3462
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5481 | 0.0416 | 144 | 0.6080 | 0.6789 |
| 0.2418 | 1.0416 | 288 | 0.4781 | 0.7894 |
| 0.0655 | 2.0416 | 432 | 0.6226 | 0.7935 |
| 0.0138 | 3.0416 | 576 | 0.8833 | 0.8078 |
| 0.0009 | 4.0416 | 720 | 0.9930 | 0.8057 |
| 0.0005 | 5.0416 | 864 | 1.0640 | 0.8098 |
| 0.0003 | 6.0416 | 1008 | 1.1921 | 0.7914 |
| 0.0002 | 7.0416 | 1152 | 1.2267 | 0.7996 |
| 0.0002 | 8.0416 | 1296 | 1.2773 | 0.7914 |
| 0.0001 | 9.0416 | 1440 | 1.3020 | 0.7996 |
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