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vit-b16-plant_village
DScomp380/vit-b16-plant_village
vit-b16-plant_village is a image classification model from DScomp380. 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
- Jan 28, 2024
- Updated
- Feb 23, 2024
- SHA
- 81b09d25
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-b16-plant_village
This model is a fine-tuned version of google/vit-base-patch16-224 on the Treelar/plant_village dataset. It achieves the following results on the evaluation set:
- Loss: 0.0100
- Accuracy: 0.9973
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1747 | 1.0 | 3119 | 0.0364 | 0.9885 |
| 0.0031 | 2.0 | 6238 | 0.0100 | 0.9973 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Languages
- en
- Created
- Jan 28, 2024
- Updated
- Feb 23, 2024