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---
language:
- es
- qu
tags:
- quechua
- translation
- spanish
license: apache-2.0
metrics:
- bleu
- sacrebleu
widget:
- text: "Dios ama a los hombres"
- text: "A pesar de todo, soy feliz"
- text: "¿Qué harán allí?"
- text: "Debes aprender a respetar"
---
# Spanish to Quechua translator
This model is a finetuned version of the [t5-small](https://huggingface.co/t5-small).
## Model description
t5-small-finetuned-spanish-to-quechua has trained for 46 epochs with 102 747 sentences, the validation was performed with 12 844 sentences and 12 843 sentences were used for the test.
## Intended uses & limitations
A large part of the dataset has been extracted from biblical texts, which makes the model perform better with certain types of sentences.
### How to use
You can import this model as follows:
```python
>>> from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
>>> model_name = 'hackathon-pln-es/t5-small-finetuned-spanish-to-quechua'
>>> model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
>>> tokenizer = AutoTokenizer.from_pretrained(model_name)
```
To translate you can do:
```python
>>> sentence = "Entonces dijo"
>>> input = tokenizer(sentence, return_tensors="pt")
>>> output = model.generate(input["input_ids"], max_length=40, num_beams=4, early_stopping=True)
>>> print('Original Sentence: {} \nTranslated sentence: {}'.format(sentence, tokenizer.decode(output[0])))
```
### Limitations and bias
Actually this model only can translate to Quechua of Ayacucho.
## Training data
For train this model we use [Spanish to Quechua dataset](https://huggingface.co/datasets/hackathon-pln-es/spanish-to-quechua)
## Evaluation results
We obtained the following metrics during the training process:
- eval_bleu = 2.9691
- eval_loss = 1.2064628601074219
## Team
- [Sara Benel](https://huggingface.co/sbenel)
- [Jose Vílchez](https://huggingface.co/JCarlos)
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