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ViViT-b-16x2-ShopLifting-Dataset
yehiawp4/ViViT-b-16x2-ShopLifting-Dataset
ViViT-b-16x2-ShopLifting-Dataset is a machine learning model from yehiawp4. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- vivit
- Access
- Public
- Created
- Sep 28, 2024
- Updated
- Sep 28, 2024
- SHA
- c04314bb
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. -->
ViViT-b-16x2-ShopLifting-Dataset
This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0027
- Accuracy: 1.0
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 596
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0004 | 0.5 | 299 | 0.2661 | 0.9528 |
| 0.0001 | 1.5 | 596 | 0.0002 | 1.0 |
Framework versions
- Transformers 4.39.0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.15.2
- Type
- vivit
- License
- mit
- Created
- Sep 28, 2024
- Updated
- Sep 28, 2024