---
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