christopheparisse/dream_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: 0.7120
• Validation Loss: 0.6444
• Train Accuracy: 0.6379
• 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': 160, '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
0.7502	0.7687	0.4310	0
0.6947	0.7166	0.4310	1
0.7120	0.6444	0.6379	2

Framework versions

• Transformers 4.36.0
• TensorFlow 2.13.1
• Datasets 2.15.0
• Tokenizers 0.15.0