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whynotwork – AI Model by kevinbror | AlphaNeural AI
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kevinbror
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whynotwork
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transformers
tf
bert
question-answering
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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Model card
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whynotwork
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: 1.2892
Train End Logits Accuracy: 0.6617
Train Start Logits Accuracy: 0.6190
Validation Loss: 1.0393
Validation End Logits Accuracy: 0.7213
Validation Start Logits Accuracy: 0.6877
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': 2e-05, 'decay_steps': 7377, '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
Train End Logits Accuracy
Train Start Logits Accuracy
Validation Loss
Validation End Logits Accuracy
Validation Start Logits Accuracy
Epoch
1.2892
0.6617
0.6190
1.0393
0.7213
0.6877
0
Framework versions
Transformers 4.20.1
TensorFlow 2.6.4
Datasets 2.1.0
Tokenizers 0.12.1
