---
tags:
- generated_from_trainer
model-index:
- name: berties-pretrained
  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. -->

# berties-pretrained

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: 3.3922

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.7047        | 0.21  | 500  | 5.0371          |
| 4.4116        | 0.43  | 1000 | 4.5143          |
| 4.0711        | 0.64  | 1500 | 4.3272          |
| 3.8657        | 0.86  | 2000 | 4.1704          |
| 3.6971        | 1.07  | 2500 | 3.9951          |
| 3.5093        | 1.29  | 3000 | 3.7682          |
| 3.3598        | 1.5   | 3500 | 3.6554          |
| 3.2389        | 1.72  | 4000 | 3.6167          |
| 3.1984        | 1.93  | 4500 | 3.4445          |
| 3.1063        | 2.15  | 5000 | 3.4206          |
| 3.0063        | 2.36  | 5500 | 3.4164          |
| 3.0069        | 2.57  | 6000 | 3.4115          |
| 2.9954        | 2.79  | 6500 | 3.3463          |


### Framework versions

- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3