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VideoMAE_kINETICS_BDSLW60_U5_20EPOCH
Shawon16/VideoMAE_kINETICS_BDSLW60_U5_20EPOCH
VideoMAE_kINETICS_BDSLW60_U5_20EPOCH is a video classification model from Shawon16. 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
- Nov 12, 2025
- Updated
- Nov 12, 2025
- SHA
- b7478e36
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. -->
VideoMAE_kINETICS_BDSLW60_U5_20EPOCH
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: 0.2234
- Accuracy: 0.955
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use 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: 18560
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 10.3766 | 0.0501 | 929 | 0.8142 | 0.905 |
| 0.7747 | 1.0501 | 1858 | 0.1567 | 0.96 |
| 0.158 | 2.0501 | 2787 | 0.1637 | 0.965 |
| 0.0971 | 3.0501 | 3716 | 0.1483 | 0.9633 |
| 0.0827 | 4.0501 | 4645 | 0.1992 | 0.9567 |
| 0.1003 | 5.0501 | 5574 | 0.1753 | 0.9567 |
| 0.079 | 6.0501 | 6503 | 0.1162 | 0.97 |
| 0.0835 | 7.0501 | 7432 | 0.0722 | 0.9817 |
| 0.0943 | 8.0501 | 8361 | 0.2166 | 0.9617 |
| 0.0532 | 9.0501 | 9290 | 0.2413 | 0.9633 |
| 0.0618 | 10.0501 | 10219 | 0.1646 | 0.965 |
| 0.0349 | 11.0501 | 11148 | 0.2529 | 0.955 |
| 0.0384 | 12.0501 | 12077 | 0.2234 | 0.955 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Nov 12, 2025
- Updated
- Nov 12, 2025