CamemBERT-NER-Travel

This model is a fine-tuned version of cmarkea/distilcamembert-base on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1177
• Train Entity Accuracy: 0.9147
• Validation Loss: 0.8908
• Validation Entity Accuracy: 0.0
• Epoch: 1

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': 0.0008, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Entity Accuracy	Validation Loss	Validation Entity Accuracy	Epoch
0.0945	0.9162	0.0318	0.9800	0
0.1177	0.9147	0.8908	0.0	1

Framework versions

• Transformers 4.47.1
• TensorFlow 2.18.0
• Tokenizers 0.21.0