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---
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: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# yidi-huang/bert-finetuned-ner-lieu
This model is a fine-tuned version of [dbmdz/bert-base-french-europeana-cased](https://huggingface.co/dbmdz/bert-base-french-europeana-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0023
- Epoch: 16
## 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 |
| 0.0052 | 11 |
| 0.0046 | 12 |
| 0.0037 | 13 |
| 0.0041 | 14 |
| 0.0038 | 15 |
| 0.0023 | 16 |
### Framework versions
- Transformers 4.40.2
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1
|