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ALL_NoCrop_Aug16F-8B16F-GACWDlr
TanAlexanderlz/ALL_NoCrop_Aug16F-8B16F-GACWDlr
ALL_NoCrop_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 28, 2025
- Updated
- May 28, 2025
- SHA
- 80c5bf00
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_NoCrop_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: 0.5898
- Accuracy: 0.8233
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: 2308
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6192 | 0.0624 | 144 | 0.6215 | 0.6829 |
| 0.3725 | 1.0624 | 288 | 0.5207 | 0.7530 |
| 0.2718 | 2.0624 | 432 | 0.6017 | 0.7744 |
| 0.1424 | 3.0624 | 576 | 0.5600 | 0.7774 |
| 0.1755 | 4.0624 | 720 | 0.6294 | 0.7896 |
| 0.1333 | 5.0624 | 864 | 0.6707 | 0.7957 |
| 0.0937 | 6.0624 | 1008 | 0.8023 | 0.7927 |
| 0.0692 | 7.0624 | 1152 | 0.7964 | 0.8079 |
| 0.0994 | 8.0624 | 1296 | 0.8140 | 0.7988 |
| 0.028 | 9.0624 | 1440 | 0.8548 | 0.8049 |
| 0.0692 | 10.0624 | 1584 | 0.9202 | 0.8018 |
| 0.027 | 11.0624 | 1728 | 0.9143 | 0.7927 |
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 28, 2025
- Updated
- May 28, 2025