---
license: mit
tags:
- generated_from_trainer
model-index:
- name: camembert-ner-lr10e6
  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-lr10e6

This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4541
- Overall Precision: 0.3799
- Overall Recall: 0.4559
- Overall F1: 0.4144
- Overall Accuracy: 0.9163
- Humanprod F1: 0.0
- Loc F1: 0.3266
- Org F1: 0.0323
- Per F1: 0.5821

## 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-06
- 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Humanprod F1 | Loc F1 | Org F1 | Per F1 |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:------------:|:------:|:------:|:------:|
| 0.9048        | 1.0   | 613  | 0.4945          | 0.3748            | 0.4036         | 0.3887     | 0.9151           | 0.0          | 0.3447 | 0.0318 | 0.5020 |
| 0.5001        | 2.0   | 1226 | 0.4541          | 0.3799            | 0.4559         | 0.4144     | 0.9163           | 0.0          | 0.3266 | 0.0323 | 0.5821 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.7.1+cpu
- Datasets 2.7.1
- Tokenizers 0.13.2