---
license: cc-by-nc-sa-4.0
tags:
- simplification
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-simplification-spanish-clara-med
  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-simplification-spanish-clara-med

This model is a fine-tuned version of [oskrmiguel/mt5-simplification-spanish](https://huggingface.co/oskrmiguel/mt5-simplification-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9829
- Rouge1: 33.5827
- Rouge2: 19.3568
- Rougel: 30.9427
- Rougelsum: 30.922

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| No log        | 1.0   | 190  | 2.6879          | 31.8425 | 17.5967 | 29.0762 | 29.1474   |
| No log        | 2.0   | 380  | 2.4770          | 32.6054 | 18.6606 | 30.0148 | 30.0565   |
| 3.3044        | 3.0   | 570  | 2.3618          | 32.873  | 18.9033 | 30.2114 | 30.2842   |
| 3.3044        | 4.0   | 760  | 2.2842          | 33.0173 | 18.9165 | 30.2803 | 30.3708   |
| 2.7475        | 5.0   | 950  | 2.2176          | 32.769  | 18.6209 | 30.1211 | 30.1858   |
| 2.7475        | 6.0   | 1140 | 2.1974          | 32.8461 | 18.7023 | 30.1932 | 30.2432   |
| 2.7475        | 7.0   | 1330 | 2.1625          | 32.8013 | 18.7017 | 30.1099 | 30.1752   |
| 2.5234        | 8.0   | 1520 | 2.1315          | 33.0317 | 18.8095 | 30.3504 | 30.394    |
| 2.5234        | 9.0   | 1710 | 2.1086          | 33.2546 | 18.9599 | 30.5465 | 30.5782   |
| 2.3775        | 10.0  | 1900 | 2.0830          | 33.2349 | 18.8346 | 30.4815 | 30.524    |
| 2.3775        | 11.0  | 2090 | 2.0655          | 33.1573 | 18.9358 | 30.4626 | 30.4931   |
| 2.3775        | 12.0  | 2280 | 2.0599          | 33.2281 | 19.0066 | 30.5592 | 30.5896   |
| 2.2837        | 13.0  | 2470 | 2.0464          | 33.2839 | 19.1136 | 30.7237 | 30.7471   |
| 2.2837        | 14.0  | 2660 | 2.0343          | 33.4208 | 19.0347 | 30.6897 | 30.7073   |
| 2.2132        | 15.0  | 2850 | 2.0351          | 33.4278 | 19.0579 | 30.7056 | 30.7218   |
| 2.2132        | 16.0  | 3040 | 2.0276          | 33.541  | 19.1772 | 30.8324 | 30.8551   |
| 2.2132        | 17.0  | 3230 | 2.0122          | 33.455  | 19.1121 | 30.79   | 30.8033   |
| 2.1561        | 18.0  | 3420 | 2.0124          | 33.3712 | 19.1315 | 30.7892 | 30.8023   |
| 2.1561        | 19.0  | 3610 | 2.0098          | 33.5589 | 19.2569 | 30.86   | 30.8629   |
| 2.1136        | 20.0  | 3800 | 2.0018          | 33.4333 | 19.124  | 30.7894 | 30.8035   |
| 2.1136        | 21.0  | 3990 | 1.9954          | 33.5845 | 19.2881 | 30.9155 | 30.9167   |
| 2.1136        | 22.0  | 4180 | 1.9947          | 33.6133 | 19.3605 | 30.9736 | 30.9831   |
| 2.0851        | 23.0  | 4370 | 1.9924          | 33.6015 | 19.3226 | 30.9673 | 30.9695   |
| 2.0851        | 24.0  | 4560 | 1.9861          | 33.7693 | 19.3866 | 31.0921 | 31.0837   |
| 2.0569        | 25.0  | 4750 | 1.9851          | 33.7423 | 19.431  | 31.0085 | 31.0119   |
| 2.0569        | 26.0  | 4940 | 1.9865          | 33.6365 | 19.3494 | 30.9259 | 30.9263   |
| 2.0569        | 27.0  | 5130 | 1.9864          | 33.6976 | 19.3426 | 30.9851 | 30.9756   |
| 2.0421        | 28.0  | 5320 | 1.9843          | 33.6246 | 19.3228 | 30.9379 | 30.9345   |
| 2.0421        | 29.0  | 5510 | 1.9835          | 33.5947 | 19.3477 | 30.912  | 30.9164   |
| 2.0319        | 30.0  | 5700 | 1.9829          | 33.5827 | 19.3568 | 30.9427 | 30.922    |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0
- Datasets 2.8.0
- Tokenizers 0.12.1