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Human-Action-Recognition-VIT-Base-patch16-224
alexasophia-24/Human-Action-Recognition-VIT-Base-patch16-224
Human-Action-Recognition-VIT-Base-patch16-224 is a image classification model from alexasophia-24. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Dec 25, 2024
- Updated
- Dec 25, 2024
- SHA
- 92c62794
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. -->
Human-Action-Recognition-VIT-Base-patch16-224
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4367
- Accuracy: 0.8687
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 10.2084 | 1.0 | 40 | 2.0027 | 0.4877 |
| 5.7018 | 2.0 | 80 | 0.7764 | 0.7774 |
| 3.1984 | 3.0 | 120 | 0.5612 | 0.8329 |
| 2.6944 | 4.0 | 160 | 0.5205 | 0.8437 |
| 2.4232 | 5.0 | 200 | 0.4874 | 0.8508 |
| 2.2387 | 6.0 | 240 | 0.4712 | 0.8567 |
| 2.0735 | 7.0 | 280 | 0.4715 | 0.8552 |
| 1.9519 | 8.0 | 320 | 0.4472 | 0.8587 |
| 1.8481 | 9.0 | 360 | 0.4504 | 0.8563 |
| 1.6348 | 10.0 | 400 | 0.4512 | 0.8583 |
| 1.6713 | 11.0 | 440 | 0.4621 | 0.8579 |
| 1.5573 | 12.0 | 480 | 0.4380 | 0.8659 |
| 1.5445 | 13.0 | 520 | 0.4347 | 0.8635 |
| 1.4436 | 14.0 | 560 | 0.4385 | 0.8683 |
| 1.388 | 15.0 | 600 | 0.4379 | 0.8679 |
| 1.4061 | 16.0 | 640 | 0.4391 | 0.8647 |
| 1.3256 | 17.0 | 680 | 0.4353 | 0.8671 |
| 1.3634 | 18.0 | 720 | 0.4360 | 0.8671 |
| 1.3661 | 19.0 | 760 | 0.4366 | 0.8679 |
| 1.3606 | 19.5063 | 780 | 0.4367 | 0.8687 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Dec 25, 2024
- Updated
- Dec 25, 2024