---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- GEM/wiki_lingua
metrics:
- rouge
model-index:
- name: fr-summarization
  results:
  - task:
      name: Summarization
      type: summarization
    dataset:
      name: GEM/wiki_lingua fr
      type: GEM/wiki_lingua
      config: fr
      split: validation
      args: fr
    metrics:
    - name: Rouge1
      type: rouge
      value: 100.0
---

<!-- 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. -->

# fr-summarization

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the GEM/wiki_lingua fr dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rouge1: 100.0
- Rouge2: 100.0
- Rougel: 100.0
- Rougelsum: 100.0
- Gen Len: 13.9390

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3