Downloads · 30 days
119
2% of all-time downloads
VIT_AI_image_detector
mmanikanta/VIT_AI_image_detector
VIT_AI_image_detector is a image classification model from mmanikanta. 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. --
All-time downloads
4.8K
Public
Repo size
8.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin343 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Apr 15, 2024
- Updated
- Apr 20, 2024
- SHA
- 0a34cf7c
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. -->
VIT_AI_image_detector
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0295
- Accuracy: 0.9924
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1686 | 1.0 | 1093 | 0.0843 | 0.9697 |
| 0.1195 | 2.0 | 2187 | 0.0731 | 0.9728 |
| 0.072 | 3.0 | 3281 | 0.0543 | 0.9803 |
| 0.1072 | 4.0 | 4375 | 0.0348 | 0.9884 |
| 0.079 | 5.0 | 5468 | 0.0342 | 0.9886 |
| 0.0681 | 6.0 | 6562 | 0.0317 | 0.9903 |
| 0.0513 | 7.0 | 7656 | 0.0304 | 0.9914 |
| 0.0518 | 8.0 | 8750 | 0.0293 | 0.9916 |
| 0.0674 | 9.0 | 9843 | 0.0295 | 0.9924 |
| 0.058 | 9.99 | 10930 | 0.0313 | 0.9917 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 15, 2024
- Updated
- Apr 20, 2024