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hf_age_80_model – AI Model by christopheparisse | AlphaNeural AI
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christopheparisse
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hf_age_80_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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hf_age_80_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: 1.2546
Validation Loss: 1.2546
Train Accuracy: 0.4947
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': 18925, '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
1.4268
1.3637
0.4140
0
1.3355
1.2745
0.4774
1
1.2546
1.2546
0.4947
2
Framework versions
Transformers 4.36.0
TensorFlow 2.13.1
Datasets 2.15.0
Tokenizers 0.15.0
