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VideoMAE_default_fold__0__10_epoch_Aug_batch_2_4_LSA64
Shawon16/VideoMAE_default_fold__0__10_epoch_Aug_batch_2_4_LSA64
VideoMAE_default_fold__0__10_epoch_Aug_batch_2_4_LSA64 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
- Dec 15, 2024
- Updated
- Dec 16, 2024
- SHA
- f85ec751
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_default_fold__0__10_epoch_Aug_batch_2_4_LSA64
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1673
- Accuracy: 0.9417
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: 2880
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 15.5442 | 0.1 | 288 | 3.5056 | 0.0811 |
| 7.6719 | 1.1 | 576 | 1.0166 | 0.8031 |
| 1.737 | 2.1 | 864 | 0.4851 | 0.8803 |
| 0.6836 | 3.1 | 1152 | 0.2845 | 0.9305 |
| 0.4155 | 4.1 | 1440 | 0.1982 | 0.9498 |
| 0.3 | 5.1 | 1728 | 0.1895 | 0.9614 |
| 0.201 | 6.1 | 2016 | 0.1338 | 0.9575 |
| 0.1054 | 7.1 | 2304 | 0.1466 | 0.9614 |
| 0.0754 | 8.1 | 2592 | 0.1271 | 0.9730 |
| 0.1212 | 9.1 | 2880 | 0.1243 | 0.9691 |
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
- Dec 15, 2024
- Updated
- Dec 16, 2024