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Prahas10/roof-large

This model is a fine-tuned version of google/vit-base-patch16-384 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.0498
  • Validation Loss: 0.1617
  • Train Accuracy: 0.9636
  • Epoch: 9

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': 4e-05, 'decay_steps': 4380, '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': 0.0001}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Accuracy Epoch
1.6423 1.0616 0.7091 0
0.4478 0.6131 0.8636 1
0.1556 0.2951 0.9273 2
0.0688 0.5952 0.7909 3
0.1217 0.2658 0.9273 4
0.0391 0.2163 0.9545 5
0.0364 0.0717 0.9818 6
0.0562 0.3374 0.8727 7
0.0692 0.6530 0.7909 8
0.0498 0.1617 0.9636 9

Framework versions

  • Transformers 4.38.2
  • TensorFlow 2.15.0
  • Datasets 2.16.1
  • Tokenizers 0.15.2
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