vit-plant-classification
This model is a fine-tuned version of google/vit-base-patch16-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0182
- Accuracy: 0.9933
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0529 | 1.0 | 476 | 0.0660 | 0.9816 |
| 0.0609 | 2.0 | 952 | 0.0229 | 0.9939 |
| 0.0012 | 3.0 | 1428 | 0.0205 | 0.9951 |
| 0.0007 | 4.0 | 1904 | 0.0126 | 0.9969 |
| 0.0006 | 5.0 | 2380 | 0.0122 | 0.9969 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0