my_awesome_food_model
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the food101 dataset. It achieves the following results on the evaluation set:
- Loss: 1.6235
- Accuracy: 0.892
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 |
|---|---|---|---|---|
| 2.7037 | 0.99 | 62 | 2.5304 | 0.832 |
| 1.8523 | 2.0 | 125 | 1.8095 | 0.865 |
| 1.5914 | 2.98 | 186 | 1.6235 | 0.892 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for wang1215/my_awesome_food_model
Base model
google/vit-base-patch16-224-in21kDataset used to train wang1215/my_awesome_food_model
Evaluation results
- Accuracy on food101self-reported0.892