food_classification_model
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5968
- Accuracy: 0.891
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 |
|---|---|---|---|---|
| 2.6368 | 0.992 | 62 | 2.4844 | 0.834 |
| 1.7832 | 2.0 | 125 | 1.7495 | 0.885 |
| 1.5409 | 2.976 | 186 | 1.5968 | 0.891 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.2
- Datasets 2.15.0
- Tokenizers 0.19.1
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Model tree for fcfrank10/food_classification_model
Base model
google/vit-base-patch16-224-in21k