maxsop/food_classifier

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:

  • Train Loss: 0.3005
  • Validation Loss: 0.2724
  • Train Accuracy: 0.928
  • Epoch: 4

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:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 20000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Accuracy Epoch
1.1637 0.7682 0.897 0
0.6543 0.5160 0.907 1
0.4626 0.4016 0.907 2
0.3701 0.3274 0.918 3
0.3005 0.2724 0.928 4

Framework versions

  • Transformers 4.47.1
  • TensorFlow 2.18.0
  • Datasets 3.2.0
  • Tokenizers 0.21.0
Downloads last month
14
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.

Model tree for maxsop/food_classifier

Finetuned
(1971)
this model