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food_classifier

TensorFlow
vit
generated_from_keras_callback
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food_classifier / README.md
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metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - generated_from_keras_callback
model-index:
  - name: F-eB-e/food_classifier
    results: []

F-eB-e/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: 0.3625
  • Validation Loss: 0.3347
  • Train Accuracy: 0.918
  • 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': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Accuracy Epoch
2.7562 1.5563 0.873 0
1.1775 0.7872 0.892 1
0.6780 0.4881 0.914 2
0.4781 0.3626 0.925 3
0.3625 0.3347 0.918 4

Framework versions

  • Transformers 4.45.0.dev0
  • TensorFlow 2.17.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1