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Rice-Plant-20-Epochs-Model
Akshay0706/Rice-Plant-20-Epochs-Model
Rice-Plant-20-Epochs-Model is a image classification model from Akshay0706. 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
- Nov 14, 2023
- Updated
- Nov 14, 2023
- SHA
- 08260931
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. -->
Rice-Plant-20-Epochs-Model
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: 0.1306
- Accuracy: 0.9720
- F1: 0.9719
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.0906 | 1.0 | 116 | 0.6826 | 0.8660 | 0.8676 |
| 0.3792 | 2.0 | 232 | 0.3327 | 0.9470 | 0.9474 |
| 0.1934 | 3.0 | 348 | 0.2876 | 0.9283 | 0.9285 |
| 0.1157 | 4.0 | 464 | 0.2187 | 0.9470 | 0.9470 |
| 0.0849 | 5.0 | 580 | 0.1614 | 0.9688 | 0.9689 |
| 0.0675 | 6.0 | 696 | 0.1326 | 0.9688 | 0.9688 |
| 0.0561 | 7.0 | 812 | 0.1227 | 0.9688 | 0.9688 |
| 0.0485 | 8.0 | 928 | 0.1306 | 0.9720 | 0.9719 |
| 0.0416 | 9.0 | 1044 | 0.1356 | 0.9720 | 0.9719 |
| 0.0369 | 10.0 | 1160 | 0.1184 | 0.9688 | 0.9688 |
| 0.0335 | 11.0 | 1276 | 0.1281 | 0.9720 | 0.9720 |
| 0.0308 | 12.0 | 1392 | 0.1129 | 0.9720 | 0.9719 |
| 0.0285 | 13.0 | 1508 | 0.1074 | 0.9720 | 0.9719 |
| 0.0267 | 14.0 | 1624 | 0.1061 | 0.9720 | 0.9719 |
| 0.0253 | 15.0 | 1740 | 0.1049 | 0.9720 | 0.9719 |
| 0.0241 | 16.0 | 1856 | 0.1048 | 0.9720 | 0.9719 |
| 0.0232 | 17.0 | 1972 | 0.1045 | 0.9720 | 0.9719 |
| 0.0225 | 18.0 | 2088 | 0.1036 | 0.9720 | 0.9719 |
| 0.0221 | 19.0 | 2204 | 0.1035 | 0.9720 | 0.9719 |
| 0.0219 | 20.0 | 2320 | 0.1036 | 0.9720 | 0.9719 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Nov 14, 2023
- Updated
- Nov 14, 2023