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--- |
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library_name: transformers |
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license: mit |
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base_model: cmarkea/distilcamembert-base |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: CamemBERT-NER-Travel |
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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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# CamemBERT-NER-Travel |
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This model is a fine-tuned version of [cmarkea/distilcamembert-base](https://huggingface.co/cmarkea/distilcamembert-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1177 |
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- Train Entity Accuracy: 0.9147 |
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- Validation Loss: 0.8908 |
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- Validation Entity Accuracy: 0.0 |
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- Epoch: 1 |
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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': 'Adam', 'learning_rate': 0.0008, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Entity Accuracy | Validation Loss | Validation Entity Accuracy | Epoch | |
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|:----------:|:---------------------:|:---------------:|:--------------------------:|:-----:| |
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| 0.0945 | 0.9162 | 0.0318 | 0.9800 | 0 | |
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| 0.1177 | 0.9147 | 0.8908 | 0.0 | 1 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- TensorFlow 2.18.0 |
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- Tokenizers 0.21.0 |
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