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corn_leaf_detector
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: 3.1631
- Accuracy: 0.9154
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: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.903 | 0.96 | 20 | 3.7614 | 0.8792 |
| 3.5402 | 1.96 | 40 | 3.4920 | 0.9063 |
| 3.348 | 2.96 | 60 | 3.3117 | 0.9154 |
| 3.1824 | 3.96 | 80 | 3.2024 | 0.9154 |
| 3.1366 | 4.96 | 100 | 3.1631 | 0.9154 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
