---
base_model: camembert/camembert-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: camembert-base-finetuned-ner
  results: []
datasets:
- Jean-Baptiste/wikiner_fr
language:
- fr
widget:
- text: "Je m'appelle Amel Douc. Je suis né à Paris et réside au 11 impasse de la défense 75018 paris."
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# camembert-base-finetuned-ner

This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the Wikiner Dataset (enriched with new entities: date, postal adress) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0280
- Precision: 0.9642
- Recall: 0.9675
- F1: 0.9658
- Accuracy: 0.9921

## 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:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0316        | 1.0   | 15205 | 0.0300          | 0.9555    | 0.9609 | 0.9582 | 0.9906   |
| 0.0214        | 2.0   | 30410 | 0.0276          | 0.9624    | 0.9668 | 0.9646 | 0.9918   |
| 0.0156        | 3.0   | 45615 | 0.0280          | 0.9642    | 0.9675 | 0.9658 | 0.9921   |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3