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Bert_Bourse2 – AI Model by Hermann-Meier | AlphaNeural AI
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Hermann-Meier
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Bert_Bourse2
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transformers
tf
bert
pretraining
generated_from_keras_callback
endpoints_compatible
us
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Bert_Bourse2
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: nan
Validation Loss: nan
Epoch: 9
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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
8.4168
8.5456
0
8.0364
8.5354
1
7.9995
8.5982
2
nan
nan
3
nan
nan
4
nan
nan
5
nan
nan
6
nan
nan
7
nan
nan
8
nan
nan
9
Framework versions
Transformers 4.42.0.dev0
TensorFlow 2.15.0
Datasets 2.19.1
Tokenizers 0.19.1
