vit-base-patch16-224-in21k-disaster2

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NInjaQuarrior/vit-base-patch16-224-in21k-disaster2

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: 0.1002
• Train Caccuracy: 0.9936
• Train Fn: 14.0
• Train Fp: 17.0
• Train Tn: 4647.0
• Train Tp: 2318.0
• Validation Loss: 0.1452
• Validation Caccuracy: 0.9757
• Validation Fn: 9.0
• Validation Fp: 12.0
• Validation Tn: 812.0
• Validation Tp: 403.0
• 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': 219, '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

Framework versions

• Transformers 4.35.2
• TensorFlow 2.10.0
• Datasets 2.15.0
• Tokenizers 0.15.0