pytorch tensorboard xlm-roberta token-classification en de fr it nl dataset:wmt/europarl transformers punctuation prediction punctuation license:mit autotrain_compatible
---
language:
- en
- de
- fr
- it
- nl
tags:
- punctuation prediction
- punctuation
datasets: wmt/europarl
license: mit
widget:
- text: "Ho sentito che ti sei laureata il che mi fa molto piacere"
  example_title: "Italian"
- text: "Tous les matins vers quatre heures mon père ouvrait la porte de ma chambre"
  example_title: "French"
- text: "Ist das eine Frage Frau Müller"
  example_title: "German"
- text: "My name is Clara and I live in Berkeley California"
  example_title: "English"  
metrics:
- f1
---

# Work in progress

## Classification report over all languages 
```
             precision    recall  f1-score   support

           0       0.99      0.99      0.99  47903344
           .       0.94      0.95      0.95   2798780
           ,       0.85      0.84      0.85   3451618
           ?       0.88      0.85      0.87     88876
           -       0.61      0.32      0.42    157863
           :       0.72      0.52      0.60    103789

    accuracy                           0.98  54504270
   macro avg       0.83      0.75      0.78  54504270
weighted avg       0.98      0.98      0.98  54504270
```