---
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-FR-summary
  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. -->

# mt5-small-FR-summary

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.2028
- Rouge1: 0.0302
- Rouge2: 0.0
- Rougel: 0.0303
- Rougelsum: 0.0303

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 6.2364        | 1.0   | 1088 | 6.2497          | 0.0370 | 0.0    | 0.0369 | 0.0368    |
| 6.2188        | 2.0   | 2176 | 6.2375          | 0.0302 | 0.0    | 0.0303 | 0.0303    |
| 6.206         | 3.0   | 3264 | 6.2273          | 0.0302 | 0.0    | 0.0303 | 0.0303    |
| 6.1953        | 4.0   | 4352 | 6.2174          | 0.0302 | 0.0    | 0.0303 | 0.0303    |
| 6.1882        | 5.0   | 5440 | 6.2104          | 0.0302 | 0.0    | 0.0303 | 0.0303    |
| 6.1814        | 6.0   | 6528 | 6.2053          | 0.0302 | 0.0    | 0.0303 | 0.0303    |
| 6.1799        | 7.0   | 7616 | 6.2032          | 0.0302 | 0.0    | 0.0303 | 0.0303    |
| 6.1785        | 8.0   | 8704 | 6.2028          | 0.0302 | 0.0    | 0.0303 | 0.0303    |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1