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flower_classifier
This model is a fine-tuned version of jonathanfernandes/vit-base-patch16-224-finetuned-flower on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2238
- Accuracy: 0.9878
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0568 | 1.0 | 102 | 0.9734 | 0.9322 |
| 0.3193 | 2.0 | 205 | 0.3169 | 0.9805 |
| 0.1862 | 2.99 | 306 | 0.2250 | 0.9853 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
