Downloads · 30 days
13
16% of all-time downloads
vit-base-patch16-224-in21k-finetuned-crop-classification
atuo/vit-base-patch16-224-in21k-finetuned-crop-classification
vit-base-patch16-224-in21k-finetuned-crop-classification is a image classification model from atuo. 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
80
Public
Parameters
304M
6.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.2 GB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- dinov2
- Access
- Public
- Created
- Jan 22, 2024
- Updated
- Jan 23, 2024
- SHA
- ca9d9e85
Base models
Datasets
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-base-patch16-224-in21k-finetuned-crop-classification
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6450
- Accuracy: 0.7472
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|
| 0.8031 | 1.0 | 183 | 0.7603 | 0.7050 |
| 0.7311 | 2.0 | 367 | 0.7047 | 0.7250 |
| 0.7144 | 3.0 | 550 | 0.6968 | 0.7211 |
| 0.6516 | 4.0 | 734 | 0.6569 | 0.7376 |
| 0.6371 | 5.0 | 917 | 0.6483 | 0.7376 |
| 0.6246 | 6.0 | 1101 | 0.6492 | 0.7365 |
| 0.5659 | 7.0 | 1284 | 0.6481 | 0.7411 |
| 0.533 | 8.0 | 1468 | 0.6450 | 0.7472 |
| 0.5416 | 9.0 | 1651 | 0.6382 | 0.7453 |
| 0.5062 | 9.97 | 1830 | 0.6395 | 0.7461 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Image Classification
- Library
- transformers
- Type
- dinov2
- License
- apache-2.0
- Created
- Jan 22, 2024
- Updated
- Jan 23, 2024