---
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: camembert-base-finetuned-sentence-simplification-fr
  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-base-finetuned-sentence-simplification-fr

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3512
- Rouge1: 71.7164
- Rouge2: 48.3026
- Rougel: 60.9741
- Rougelsum: 71.703

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 5.526         | 1.0   | 167  | 1.5778          | 20.8927 | 6.5549  | 19.8894 | 20.8757   |
| 1.2998        | 2.0   | 334  | 0.7396          | 47.1012 | 24.6065 | 42.5169 | 47.1201   |
| 0.8173        | 3.0   | 501  | 0.4854          | 63.0251 | 38.8258 | 53.3364 | 63.0153   |
| 0.6211        | 4.0   | 668  | 0.3797          | 70.1541 | 46.2974 | 59.4121 | 70.1327   |
| 0.5504        | 5.0   | 835  | 0.3512          | 71.7164 | 48.3026 | 60.9741 | 71.703    |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu102
- Datasets 2.6.1
- Tokenizers 0.13.1