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financial_phrasebankmodel – AI Model by Poojithpoosa | AlphaNeural AI
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Poojithpoosa
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financial_phrasebankmodel
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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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Poojithpoosa/financial_phrasebankmodel
This model is a fine-tuned version of
google-bert/bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1745
Validation Loss: 0.0643
Train Accuracy: 0.9736
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': 2e-05, 'decay_steps': 24230, '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
Train Accuracy
Epoch
0.6113
0.3262
0.8803
0
0.3522
0.1855
0.9416
1
0.1745
0.0643
0.9736
2
Framework versions
Transformers 4.24.0
TensorFlow 2.10.1
Datasets 2.19.0
Tokenizers 0.11.0
