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food_classifier – AI Model by anum231 | AlphaNeural AI
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anum231
/
food_classifier
like
0
transformers
tf
vit
image-classification
generated_from_keras_callback
anum231/cancer_classifier_100
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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anum231/food_classifier
This model is a fine-tuned version of
anum231/cancer_classifier_100
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.5815
Validation Loss: 0.4561
Train Accuracy: 0.8276
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': 1160, '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
0.6210
0.4706
0.8276
0
0.6095
0.4583
0.8103
1
0.6289
0.4566
0.8103
2
0.6230
0.5850
0.7241
3
0.5815
0.4561
0.8276
4
Framework versions
Transformers 4.38.1
TensorFlow 2.15.0
Datasets 2.18.0
Tokenizers 0.15.2
