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vit-base-beans
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 0.0466
- Accuracy: 0.9774
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2167 | 1.0 | 130 | 0.1714 | 0.9474 |
| 0.1288 | 2.0 | 260 | 0.1307 | 0.9549 |
| 0.1056 | 3.0 | 390 | 0.0669 | 0.9774 |
| 0.0772 | 4.0 | 520 | 0.0466 | 0.9774 |
| 0.0941 | 5.0 | 650 | 0.0804 | 0.9699 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.0.1+cu117
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for pkr7098/vit-base-beans
Base model
google/vit-base-patch16-224-in21k