---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-en-fr-news
  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-finetuned-en-fr-news

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: 2.1000
- Rouge1: 41.6338
- Rouge2: 21.3577
- Rougel: 38.202
- Rougelsum: 38.2183

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.7228        | 1.0   | 1559  | 2.3641          | 37.9447 | 18.4166 | 34.6063 | 34.6165   |
| 2.7319        | 2.0   | 3118  | 2.2304          | 39.249  | 19.5698 | 35.7668 | 35.7701   |
| 2.5555        | 3.0   | 4677  | 2.1440          | 40.1999 | 20.1181 | 36.6426 | 36.6353   |
| 2.4415        | 4.0   | 6236  | 2.1555          | 40.793  | 20.7479 | 37.3027 | 37.2843   |
| 2.3686        | 5.0   | 7795  | 2.1158          | 41.2065 | 20.9893 | 37.7881 | 37.7686   |
| 2.3065        | 6.0   | 9354  | 2.1125          | 41.3501 | 21.0604 | 37.8817 | 37.8791   |
| 2.2729        | 7.0   | 10913 | 2.1053          | 41.6526 | 21.3397 | 38.1622 | 38.1656   |
| 2.2526        | 8.0   | 12472 | 2.1000          | 41.6338 | 21.3577 | 38.202  | 38.2183   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0