---
tags:
- translation
license: apache-2.0
---

# opus-mt-it-en

## Table of Contents
- [Model Details](#model-details)
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)


## Model Details
**Model Description:**
- **Developed by:** [Language Technology Research Group at the University of Helsinki](https://blogs.helsinki.fi/language-technology/)
- **Model Type:** transformer-align
- **Language(s):**  
  - Source Language: Italian
  - Target Language: English 
- **License:** apache-2.0
- **Resources for more information:**
  - [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)

## How to Get Started With the Model

```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-it-en")

model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-it-en")
```

## Uses

#### Direct Use

This model can be used for translation and text-to-text generation.


## Risks, Limitations and Biases

**CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.**

Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)).

Further details about the dataset for this model can be found in the OPUS readme: [it-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-en/README.md)



#### Training Data
##### Preprocessing
* **Pre-processing:** Normalization + SentencePiece

* **Dataset:** [opus](https://github.com/Helsinki-NLP/Opus-MT)
* **Download original weights:** [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.zip)

* **Test set translations:** [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.test.txt)

## Evaluation

### Results

* **Test set scores:** [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.eval.txt)

#### Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.it.en 	| 35.3 	| 0.600 |
| newstest2009.it.en 	| 34.0 	| 0.594 |
| Tatoeba.it.en 	| 70.9 	| 0.808 |