---
tags:
- 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
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# 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: 0.0001
- Rouge1: 100.0
- Rouge2: 100.0
- Rougel: 100.0
- Rougelsum: 100.0

## 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: 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2  | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:------:|:---------:|
| 0.0202        | 1.0   | 167  | 0.0006          | 99.978 | 99.9587 | 99.978 | 99.978    |
| 0.0034        | 2.0   | 334  | 0.0001          | 100.0  | 100.0   | 100.0  | 100.0     |
| 0.0019        | 3.0   | 501  | 0.0001          | 100.0  | 100.0   | 100.0  | 100.0     |


### Framework versions

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