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coco_binary_classification – AI Model by aspends | AlphaNeural AI | AlphaNeural AI
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aspends
/
coco_binary_classification
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transformers
tf
vit
image-classification
generated_from_keras_callback
google/vit-base-patch16-224-in21k
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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aspends/assignment
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: 0.0361
Validation Loss: 0.1211
Train Accuracy: 0.96
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': 4000, '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
0.4558
0.2641
0.9475
0
0.1541
0.1500
0.96
1
0.0867
0.1288
0.96
2
0.0616
0.1293
0.9625
3
0.0361
0.1211
0.96
4
Framework versions
Transformers 4.34.1
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.14.1
