my_food_classifier / README.md
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Librarian Bot: Add base_model information to model (#1)
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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
base_model: google/vit-base-patch16-224-in21k
model-index:
  - name: susnato/my_food_classifier
    results: []

susnato/my_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: 0.0074
  • Validation Loss: 0.2560
  • Train Accuracy: 0.945
  • 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 20000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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
0.0180 0.2310 0.946 0
0.0126 0.2385 0.946 1
0.0104 0.2445 0.944 2
0.0088 0.2505 0.944 3
0.0074 0.2560 0.945 4

Framework versions

  • Transformers 4.25.1
  • TensorFlow 2.9.2
  • Datasets 2.8.0
  • Tokenizers 0.13.2