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ALL_RGBCROP_Aug16F-16B16F-GACWDlr
TanAlexanderlz/ALL_RGBCROP_Aug16F-16B16F-GACWDlr
ALL_RGBCROP_Aug16F-16B16F-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 27, 2025
- Updated
- May 27, 2025
- SHA
- 5340d28e
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_Aug16F-16B16F-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: 0.6816
- Accuracy: 0.8463
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 1728
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6361 | 0.0417 | 72 | 0.6432 | 0.6382 |
| 0.3554 | 1.0417 | 144 | 0.5090 | 0.7439 |
| 0.1632 | 2.0417 | 216 | 0.5323 | 0.7825 |
| 0.0439 | 3.0417 | 288 | 0.6035 | 0.8069 |
| 0.0044 | 4.0417 | 360 | 0.8301 | 0.7927 |
| 0.0028 | 5.0417 | 432 | 0.8714 | 0.8110 |
| 0.0008 | 6.0417 | 504 | 0.9483 | 0.8089 |
| 0.0005 | 7.0417 | 576 | 0.9650 | 0.8191 |
| 0.0005 | 8.0417 | 648 | 0.9847 | 0.8089 |
| 0.0005 | 9.0417 | 720 | 1.0961 | 0.8008 |
| 0.0003 | 10.0417 | 792 | 1.0523 | 0.8110 |
| 0.0003 | 11.0417 | 864 | 1.0718 | 0.8171 |
| 0.0002 | 12.0417 | 936 | 1.0848 | 0.8130 |
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 27, 2025
- Updated
- May 27, 2025