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prahlad/
rotten_model

Name: rotten_model
Availability: InStock

transformers

bert

text-classification

generated_from_keras_callback

apache-2.0

autotrain_compatible

endpoints_compatible

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prahlad/rotten_model

This model is a fine-tuned version of bert-base-uncased on rotten_tomatoes movie review dataset. It achieves the following results on the evaluation set:

Train Loss: 0.4876
Train Accuracy: 0.7620
Validation Loss: 0.5001
Validation Accuracy: 0.7842
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': 12795, '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
0.4876	0.7620	0.5001	0.7842	0

Framework versions

Transformers 4.20.1
TensorFlow 2.8.2
Datasets 2.3.2
Tokenizers 0.12.1