food-101-finetuned-model
This model is a fine-tuned version of google/vit-base-patch16-224 on the food101 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5578
- Accuracy: 0.8447
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: 0.0003
- train_batch_size: 8
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8013 | 1.0 | 9469 | 0.5578 | 0.8447 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
- 111