---
library_name: transformers
license: mit
base_model: camembert-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 [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0016
- Train Accuracy: 0.9923
- Train Entity Accuracy: 0.9789
- Validation Loss: 0.0017
- Validation Accuracy: 0.9920
- Validation Entity Accuracy: 0.9831
- Epoch: 3

## 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': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Train Entity Accuracy | Validation Loss | Validation Accuracy | Validation Entity Accuracy | Epoch |
|:----------:|:--------------:|:---------------------:|:---------------:|:-------------------:|:--------------------------:|:-----:|
| 0.0124     | 0.9677         | 0.8099                | 0.0038          | 0.9799              | 0.9682                     | 0     |
| 0.0031     | 0.9852         | 0.9684                | 0.0019          | 0.9885              | 0.9820                     | 1     |
| 0.0020     | 0.9907         | 0.9767                | 0.0016          | 0.9941              | 0.9775                     | 2     |
| 0.0016     | 0.9923         | 0.9789                | 0.0017          | 0.9920              | 0.9831                     | 3     |


### Framework versions

- Transformers 4.46.3
- TensorFlow 2.18.0
- Tokenizers 0.20.3