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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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