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CamemBERT-NER-Travel
Az-r-ow/CamemBERT-NER-Travel
CamemBERT-NER-Travel is a token classification model from Az-r-ow. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- camembert
- Access
- Public
- Created
- Dec 1, 2024
- Updated
- Jan 4, 2025
- SHA
- d3400c4a
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Model card
From the Hugging Face model README
<!-- 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. -->
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
- Task
- Token Classification
- Library
- transformers
- Type
- camembert
- License
- mit
- Created
- Dec 1, 2024
- Updated
- Jan 4, 2025