my-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: 0.2676
- Accuracy: 0.943
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use 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_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4281 | 1.0 | 125 | 0.4344 | 0.922 |
| 0.2177 | 2.0 | 250 | 0.2992 | 0.936 |
| 0.132 | 3.0 | 375 | 0.2676 | 0.943 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1
- Datasets 2.16.1
- Tokenizers 0.20.3
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Base model
google/vit-base-patch16-224-in21k