|
--- |
|
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 | |
|
|
|
|
