plant-seedlings-freeze-0-6-aug-3-all-train-2
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1475
- Accuracy: 0.9503
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: 0.0002
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.256 | 0.16 | 100 | 0.2983 | 0.9153 |
| 0.145 | 0.31 | 200 | 0.1943 | 0.9392 |
| 0.2502 | 0.47 | 300 | 0.2294 | 0.9227 |
| 0.0876 | 0.63 | 400 | 0.1904 | 0.9355 |
| 0.1218 | 0.79 | 500 | 0.1430 | 0.9540 |
| 0.0952 | 0.94 | 600 | 0.1475 | 0.9503 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3