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PK-B
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roof_classifier

Image Classification
Transformers
TensorFlow
vit
generated_from_keras_callback
Inference Endpoints
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roof_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: PK-B/roof_classifier
    results: []

PK-B/roof_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: 1.6844
  • Validation Loss: 2.3315
  • Train Accuracy: 0.425
  • Epoch: 14

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': 1770, '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
2.9736 2.9756 0.05 0
2.9016 2.9430 0.1 1
2.8192 2.9084 0.1 2
2.7004 2.8564 0.175 3
2.6005 2.8109 0.175 4
2.4981 2.7452 0.225 5
2.3819 2.6988 0.2125 6
2.2867 2.6998 0.25 7
2.1804 2.6510 0.275 8
2.1115 2.5307 0.3375 9
2.0161 2.5523 0.3 10
1.9189 2.5310 0.2875 11
1.8863 2.4733 0.3375 12
1.7518 2.4233 0.3625 13
1.6844 2.3315 0.425 14

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.14.0
  • Datasets 2.15.0
  • Tokenizers 0.15.0