---
base_model: plguillou/t5-base-fr-sum-cnndm
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-fr-sum-cnndm_finetuned_12_06_10_23
  results: []
---

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# t5-base-fr-sum-cnndm_finetuned_12_06_10_23

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: 1.8407
- Rouge1: 0.1595
- Rouge2: 0.0349
- Rougel: 0.1304
- Rougelsum: 0.1303
- Gen Len: 20.0

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.0448        | 1.0   | 1334 | 1.8407          | 0.1595 | 0.0349 | 0.1304 | 0.1303    | 20.0    |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1