---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: camembert-ner-finetuned-ner
  results: []
---

<!-- 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. -->

# camembert-ner-finetuned-ner

This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1258
- Precision: 0.9791
- Recall: 0.9723
- F1: 0.9757
- Accuracy: 0.9775

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 219  | 0.1130          | 0.9569    | 0.9723 | 0.9645 | 0.9687   |
| No log        | 2.0   | 438  | 0.1681          | 0.9528    | 0.9769 | 0.9647 | 0.9646   |
| 0.1656        | 3.0   | 657  | 0.1253          | 0.9693    | 0.9827 | 0.9759 | 0.9779   |
| 0.1656        | 4.0   | 876  | 0.1230          | 0.9692    | 0.9804 | 0.9748 | 0.9783   |
| 0.047         | 5.0   | 1095 | 0.1258          | 0.9791    | 0.9723 | 0.9757 | 0.9775   |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1