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vivit-b-16x2-kinetics400-ft-48192
Temo27Anas/vivit-b-16x2-kinetics400-ft-48192
vivit-b-16x2-kinetics400-ft-48192 is a video classification model from Temo27Anas. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Video Classification
- Library
- transformers
- Model type
- vivit
- Access
- Public
- Created
- Jul 11, 2024
- Updated
- Jul 15, 2024
- SHA
- 7d84fad2
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-kinetics400-ft-48192
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7749
- Accuracy: 0.6772
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: 16
- eval_batch_size: 16
- 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: 55
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6106 | 1.0 | 55 | 0.7749 | 0.6772 |
Framework versions
- Transformers 4.41.2
- Pytorch 1.13.0+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Video Classification
- Library
- transformers
- Type
- vivit
- Created
- Jul 11, 2024
- Updated
- Jul 15, 2024