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