Downloads · 30 days
6
12% of all-time downloads
trash_vit_trail
shng2025/trash_vit_trail
trash_vit_trail is a image classification model from shng2025. Use it when you need a label for an image. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
50
Public
Parameters
85.8M
1.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors343 MB · 100%
At a glance
- Task
- Image Classification
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Sep 1, 2024
- Updated
- Sep 1, 2024
- SHA
- 9ff9bd95
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. -->
trash_vit_trail
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 0.0711
- Accuracy: 0.9814
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1814 | 0.8937 | 1000 | 0.1715 | 0.9487 |
| 0.1077 | 1.7873 | 2000 | 0.1283 | 0.9668 |
| 0.0652 | 2.6810 | 3000 | 0.0824 | 0.9794 |
| 0.0011 | 3.5746 | 4000 | 0.0711 | 0.9814 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Type
- vit
- License
- apache-2.0
- Created
- Sep 1, 2024
- Updated
- Sep 1, 2024