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---
library_name: transformers
license: mit
base_model: cmarkea/distilcamembert-base
tags:
- generated_from_keras_callback
model-index:
- name: CamemBERT-NER-Travel
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. -->
# CamemBERT-NER-Travel
This model is a fine-tuned version of [cmarkea/distilcamembert-base](https://huggingface.co/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
|