aalonso-developer/vit-base-patch16-224-in21k-clothing-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: 0.1749
• Train Accuracy: 0.9686
• Train Top-3-accuracy: 0.9922
• Validation Loss: 0.7294
• Validation Accuracy: 0.7906
• Validation Top-3-accuracy: 0.9437
• 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 3665, '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
1.3672	0.6720	0.8895	0.8886	0.7613	0.9415	0
0.6745	0.8197	0.9615	0.7492	0.7790	0.9427	1
0.4135	0.8942	0.9814	0.7119	0.7848	0.9475	2
0.2566	0.9449	0.9892	0.7212	0.7860	0.9451	3
0.1749	0.9686	0.9922	0.7294	0.7906	0.9437	4

Framework versions

• Transformers 4.29.1
• TensorFlow 2.11.0
• Datasets 2.12.0
• Tokenizers 0.13.3