my_awesome_food_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: 1.6036
- Accuracy: 0.895
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.7614 | 1.0 | 63 | 2.5638 | 0.825 |
| 1.8404 | 2.0 | 126 | 1.7772 | 0.877 |
| 1.5852 | 3.0 | 189 | 1.6036 | 0.895 |
Framework versions
- Transformers 5.0.0.dev0
- Pytorch 2.5.1
- Datasets 4.4.2
- Tokenizers 0.22.1