Downloads · 30 days
14
2% of all-time downloads
vit-large-patch16-224-finetuned-cassava-leaf-disease
louislu9911/vit-large-patch16-224-finetuned-cassava-leaf-disease
vit-large-patch16-224-finetuned-cassava-leaf-disease is a image classification model from louislu9911. 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
587
Public
Parameters
304M
7.3 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
- vit
- Access
- Public
- Created
- Mar 25, 2024
- Updated
- Mar 25, 2024
- SHA
- 05377d73
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-large-patch16-224-finetuned-cassava-leaf-disease
This model is a fine-tuned version of google/vit-large-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.4007
- Accuracy: 0.8640
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: 200
- eval_batch_size: 200
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 800
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0134 | 0.99 | 24 | 0.5941 | 0.8042 |
| 0.4785 | 1.98 | 48 | 0.4203 | 0.8570 |
| 0.3874 | 2.97 | 72 | 0.4007 | 0.8640 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Mar 25, 2024
- Updated
- Mar 25, 2024