---
base_model: camembert/camembert-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: birdi-finetuned-ner
  results: []
language:
- fr

widget:
- text: "Je m'appelle Amel Douc. Je suis né le 21-12-1998 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
should probably proofread and complete it, then remove this comment. -->

# birdi-finetuned-ner

This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0378
- Precision: 0.9449
- Recall: 0.9521
- F1: 0.9485
- Accuracy: 0.9888

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0464        | 1.0   | 7698  | 0.0419          | 0.9352    | 0.9435 | 0.9393 | 0.9875   |
| 0.0344        | 2.0   | 15396 | 0.0375          | 0.9439    | 0.9509 | 0.9474 | 0.9888   |
| 0.0256        | 3.0   | 23094 | 0.0378          | 0.9449    | 0.9521 | 0.9485 | 0.9888   |


### Framework versions

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