metadata
license: mit
base_model: dbmdz/bert-base-french-europeana-cased
tags:
- generated_from_keras_callback
model-index:
- name: yidi-huang/bert-finetuned-ner-lieu
results: []
yidi-huang/bert-finetuned-ner-lieu
This model is a fine-tuned version of dbmdz/bert-base-french-europeana-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0064
- Epoch: 10
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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 47400, '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, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Epoch |
|---|---|
| 0.2157 | 0 |
| 0.0923 | 1 |
| 0.0492 | 2 |
| 0.0331 | 3 |
| 0.0224 | 4 |
| 0.0161 | 5 |
| 0.0137 | 6 |
| 0.0102 | 7 |
| 0.0082 | 8 |
| 0.0078 | 9 |
| 0.0064 | 10 |
Framework versions
- Transformers 4.40.2
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1