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complexity_92_reduced_model – AI Model by christopheparisse | AlphaNeural AI
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christopheparisse
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complexity_92_reduced_model
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transformers
tf
flaubert
text-classification
generated_from_keras_callback
flaubert/flaubert_base_cased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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complexity_92_model
This model is a fine-tuned version of
flaubert/flaubert_base_cased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.2782
Validation Loss: 0.3116
Train Accuracy: 0.9128
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3235, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
0.2172
0.2140
0.9137
0
0.2163
0.3057
0.9128
1
0.2782
0.3116
0.9128
2
Framework versions
Transformers 4.36.0
TensorFlow 2.13.1
Datasets 2.15.0
Tokenizers 0.15.0
