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recipe-improver – AI Model by aidan-o-brien | AlphaNeural AI
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recipe-improver
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transformers
tf
albert
question-answering
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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recipe-improver
This model is a fine-tuned version of
albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 2.5570
Epoch: 0
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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 5539, '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-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Epoch
2.5570
0
Framework versions
Transformers 4.15.0
TensorFlow 2.7.0
Datasets 1.17.0
Tokenizers 0.10.3
