coco_multiclass_classification – AI Model by aspends | AlphaNeural AI

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aspends/
coco_multiclass_classification

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image-classification

generated_from_keras_callback

google/vit-base-patch16-224-in21k

autotrain_compatible

endpoints_compatible

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aspends/assignment_part_3

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the COCO dataset. It achieves the following results on the evaluation set:

Train Loss: 0.0932
Validation Loss: 0.2218
Train Accuracy: 0.9313
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: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 8000, '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
0.8768	0.4404	0.9387	0
0.3198	0.2664	0.9475	1
0.1919	0.2303	0.9425	2
0.1357	0.1959	0.9463	3
0.0932	0.2218	0.9313	4

Framework versions

Transformers 4.34.1
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.14.1