---
base_model: plguillou/t5-base-fr-sum-cnndm
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-fr
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-fr

This model is a fine-tuned version of [plguillou/t5-base-fr-sum-cnndm](https://huggingface.co/plguillou/t5-base-fr-sum-cnndm) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6878
- Rouge1: 23.3848
- Rouge2: 9.3504
- Rougel: 19.3597
- Rougelsum: 19.8429

## 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: 5.6e-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: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 1.9764        | 1.0   | 2676  | 1.7374          | 22.998  | 9.1033 | 19.0142 | 19.5113   |
| 1.7791        | 2.0   | 5352  | 1.7085          | 23.3534 | 9.3481 | 19.399  | 19.8575   |
| 1.6981        | 3.0   | 8028  | 1.7009          | 23.1764 | 9.163  | 19.1898 | 19.6352   |
| 1.6511        | 4.0   | 10704 | 1.6878          | 23.3848 | 9.3504 | 19.3597 | 19.8429   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2