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Training in progress epoch 2
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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: YKXBCi/vit-base-patch16-224-in21k-euroSat
    results: []

YKXBCi/vit-base-patch16-224-in21k-euroSat

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: 0.0495
  • Train Accuracy: 0.9948
  • Train Top-3-accuracy: 0.9999
  • Validation Loss: 0.0782
  • Validation Accuracy: 0.9839
  • Validation Top-3-accuracy: 1.0
  • Epoch: 2

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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 3585, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
  • training_precision: mixed_float16

Training results

Train Loss Train Accuracy Train Top-3-accuracy Validation Loss Validation Accuracy Validation Top-3-accuracy Epoch
0.4593 0.9478 0.9912 0.1558 0.9809 0.9995 0
0.1008 0.9876 0.9997 0.0855 0.9856 1.0 1
0.0495 0.9948 0.9999 0.0782 0.9839 1.0 2

Framework versions

  • Transformers 4.18.0
  • TensorFlow 2.6.0
  • Datasets 2.1.0
  • Tokenizers 0.12.1