my_awesome_food_model
This model is a fine-tuned version of facebook/dinov2-small-imagenet1k-1-layer on the food101 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2296
- Accuracy: 0.933
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 |
|---|---|---|---|---|
| 0.4769 | 0.99 | 62 | 0.5877 | 0.805 |
| 0.3517 | 2.0 | 125 | 0.3854 | 0.872 |
| 0.2431 | 2.98 | 186 | 0.2296 | 0.933 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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