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plant-seedlings-model
hn11235/plant-seedlings-model
plant-seedlings-model is a image classification model from hn11235. 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
- Apr 15, 2023
- Updated
- Apr 17, 2023
- SHA
- 857020ba
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. -->
plant-seedlings-model
This model is a fine-tuned version of google/vit-large-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1235
- Accuracy: 0.9783
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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3236 | 1.27 | 500 | 0.2747 | 0.9019 |
| 0.2273 | 2.54 | 1000 | 0.3031 | 0.9038 |
| 0.082 | 3.82 | 1500 | 0.2103 | 0.9280 |
| 0.061 | 5.09 | 2000 | 0.2235 | 0.9408 |
| 0.0668 | 6.36 | 2500 | 0.1633 | 0.9554 |
| 0.0739 | 7.63 | 3000 | 0.1561 | 0.9586 |
| 0.0836 | 8.91 | 3500 | 0.1904 | 0.9446 |
| 0.0078 | 10.18 | 4000 | 0.2045 | 0.9535 |
| 0.087 | 11.45 | 4500 | 0.4487 | 0.9146 |
| 0.0119 | 12.72 | 5000 | 0.2162 | 0.9567 |
| 0.0002 | 13.99 | 5500 | 0.1157 | 0.9758 |
| 0.0001 | 15.27 | 6000 | 0.1199 | 0.9771 |
| 0.0001 | 16.54 | 6500 | 0.1215 | 0.9790 |
| 0.0001 | 17.81 | 7000 | 0.1223 | 0.9790 |
| 0.0001 | 19.08 | 7500 | 0.1235 | 0.9783 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 15, 2023
- Updated
- Apr 17, 2023