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plant-vit-model-4-final
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: 0.0741
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Accuracy: 1.0
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.2499 | 1.0 | 83 | 0.9951 | 0.9157 | 0.9157 | 0.9157 | 0.9157 |
| 0.4403 | 2.0 | 166 | 0.3535 | 0.9845 | 0.9845 | 0.9845 | 0.9845 |
| 0.2681 | 3.0 | 249 | 0.2108 | 0.9973 | 0.9973 | 0.9973 | 0.9973 |
| 0.2026 | 4.0 | 332 | 0.1501 | 0.9984 | 0.9984 | 0.9984 | 0.9984 |
| 0.158 | 5.0 | 415 | 0.1212 | 0.9984 | 0.9984 | 0.9984 | 0.9984 |
| 0.1382 | 6.0 | 498 | 0.1024 | 0.9984 | 0.9984 | 0.9984 | 0.9984 |
| 0.1233 | 7.0 | 581 | 0.0882 | 0.9995 | 0.9995 | 0.9995 | 0.9995 |
| 0.1026 | 8.0 | 664 | 0.0790 | 0.9995 | 0.9995 | 0.9995 | 0.9995 |
| 0.1046 | 9.0 | 747 | 0.0741 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0881 | 10.0 | 830 | 0.0731 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
