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bert-base-uncased-attribute-correction – AI Model by ksabeh | AlphaNeural AI
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ksabeh
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bert-base-uncased-attribute-correction
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transformers
tf
bert
question-answering
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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ksabeh/bert-base-uncased-attribute-correction
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0541
Validation Loss: 0.0579
Epoch: 1
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': 2e-05, 'decay_steps': 36848, '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}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.1513
0.0671
0
0.0541
0.0579
1
Framework versions
Transformers 4.18.0
TensorFlow 2.6.4
Datasets 2.1.0
Tokenizers 0.12.1
