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bert-base-uncased-finetuned-swag – AI Model by Rocketknight1 | AlphaNeural AI
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Rocketknight1
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bert-base-uncased-finetuned-swag
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0
transformers
tf
tensorboard
bert
multiple-choice
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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Rocketknight1/bert-base-uncased-finetuned-swag
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: 0.8360
Train Accuracy: 0.6631
Validation Loss: 0.5885
Validation Accuracy: 0.7706
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': 9192, '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 Accuracy
Validation Loss
Validation Accuracy
Epoch
0.8360
0.6631
0.5885
0.7706
0
Framework versions
Transformers 4.18.0.dev0
TensorFlow 2.8.0-rc0
Datasets 2.0.1.dev0
Tokenizers 0.11.0
