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ALL_RGBCROP_ori16F-8B16F-GACWDlr
TanAlexanderlz/ALL_RGBCROP_ori16F-8B16F-GACWDlr
ALL_RGBCROP_ori16F-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 26, 2025
- Updated
- May 26, 2025
- SHA
- 5f790242
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. -->
ALL_RGBCROP_ori16F-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: 0.4175
- Accuracy: 0.8563
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: 960
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6704 | 0.05 | 48 | 0.6516 | 0.6098 |
| 0.5147 | 1.05 | 96 | 0.5519 | 0.6890 |
| 0.318 | 2.05 | 144 | 0.4741 | 0.7561 |
| 0.1843 | 3.05 | 192 | 0.4970 | 0.7988 |
| 0.0684 | 4.05 | 240 | 0.6018 | 0.7866 |
| 0.0323 | 5.05 | 288 | 0.6950 | 0.8293 |
| 0.0124 | 6.05 | 336 | 0.8211 | 0.7927 |
| 0.0023 | 7.05 | 384 | 0.8972 | 0.7927 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- May 26, 2025
- Updated
- May 26, 2025