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--- |
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license: mit |
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base_model: dbmdz/bert-base-french-europeana-cased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: yidi-huang/bert-finetuned-ner-lieu |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# yidi-huang/bert-finetuned-ner-lieu |
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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. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0023 |
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- Epoch: 16 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Epoch | |
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|:----------:|:-----:| |
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| 0.2157 | 0 | |
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| 0.0923 | 1 | |
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| 0.0492 | 2 | |
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| 0.0331 | 3 | |
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| 0.0224 | 4 | |
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| 0.0161 | 5 | |
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| 0.0137 | 6 | |
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| 0.0102 | 7 | |
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| 0.0082 | 8 | |
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| 0.0078 | 9 | |
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| 0.0064 | 10 | |
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| 0.0052 | 11 | |
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| 0.0046 | 12 | |
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| 0.0037 | 13 | |
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| 0.0041 | 14 | |
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| 0.0038 | 15 | |
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| 0.0023 | 16 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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