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bert-finetuned-mrpc – AI Model by BobBraico | AlphaNeural AI
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BobBraico
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bert-finetuned-mrpc
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transformers
tf
bert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-finetuned-mrpc
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: 0.1719
Train Accuracy: 0.9359
Validation Loss: 0.4050
Validation Accuracy: 0.8382
Epoch: 2
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': 1374, '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
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
0.5877
0.6823
0.4665
0.8015
0
0.3843
0.8201
0.4026
0.8309
1
0.1719
0.9359
0.4050
0.8382
2
Framework versions
Transformers 4.19.1
TensorFlow 2.8.0
Datasets 2.2.1
Tokenizers 0.12.1
