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plant-vit-model-3
Carina124/plant-vit-model-3
plant-vit-model-3 is a image classification model from Carina124. 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
- Jun 12, 2023
- Updated
- Jun 12, 2023
- SHA
- c9fc860e
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. -->
plant-vit-model-3
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2668
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Accuracy: 1.0
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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.0034 | 1.0 | 83 | 0.7940 | 0.9787 | 0.9787 | 0.9787 | 0.9787 |
| 0.2961 | 2.0 | 166 | 0.2668 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.1792 | 3.0 | 249 | 0.1701 | 0.9995 | 0.9995 | 0.9995 | 0.9995 |
| 0.1298 | 4.0 | 332 | 0.1257 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.1037 | 5.0 | 415 | 0.1012 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0872 | 6.0 | 498 | 0.0857 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0753 | 7.0 | 581 | 0.0758 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0695 | 8.0 | 664 | 0.0695 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0666 | 9.0 | 747 | 0.0660 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0654 | 10.0 | 830 | 0.0648 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jun 12, 2023
- Updated
- Jun 12, 2023