finetune-tomato-leaf
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3585
- Accuracy: 0.9720
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0819 | 1.0 | 175 | 0.9895 | 0.9018 |
| 0.6466 | 2.0 | 350 | 0.5825 | 0.9593 |
| 0.4737 | 3.0 | 525 | 0.4544 | 0.9608 |
| 0.3983 | 4.0 | 700 | 0.3788 | 0.9715 |
| 0.3876 | 5.0 | 875 | 0.3585 | 0.9720 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Amanaccessassist/finetune-tomato-leaf
Base model
google/vit-base-patch16-224-in21k