---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: paraphraser-spanish-mt5-small
  results: []
datasets:
- paws
- tapaco
language:
- es
---

<!-- 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. -->

# paraphraser-spanish-mt5-small

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4586

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.5365        | 0.07  | 2000  | 1.7577          |
| 2.5821        | 0.14  | 4000  | 1.6885          |
| 2.3485        | 0.21  | 6000  | 1.6532          |
| 2.2427        | 0.28  | 8000  | 1.5780          |
| 2.1358        | 0.35  | 10000 | 1.5455          |
| 2.0808        | 0.42  | 12000 | 1.5185          |
| 2.0139        | 0.5   | 14000 | 1.5130          |
| 1.9883        | 0.57  | 16000 | 1.5012          |
| 1.969         | 0.64  | 18000 | 1.4911          |
| 1.9697        | 0.71  | 20000 | 1.4706          |
| 1.9552        | 0.78  | 22000 | 1.4653          |
| 1.9264        | 0.85  | 24000 | 1.4669          |
| 1.932         | 0.92  | 26000 | 1.4569          |
| 1.9256        | 0.99  | 28000 | 1.4586          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2