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---
license: mit
datasets:
- wmt/europarl
metrics:
- f1
- recall
- precision
---
This is based on [Oliver Guhr's work](https://huggingface.co/oliverguhr/fullstop-punctuation-multilang-large). The difference is that it is a finetuned xlm-roberta-base instead of an xlm-roberta-large and on twelve languages instead of four. The languages are: English, German, French, Spanish, Bulgarian, Italian, Polish, Dutch, Czech, Portugese, Slovak, Slovenian.
----- report -----
precision recall f1-score support
0 0.99 0.99 0.99 73317475
. 0.94 0.95 0.95 4484845
, 0.86 0.86 0.86 6100650
? 0.88 0.85 0.86 136479
- 0.60 0.29 0.39 233630
: 0.71 0.49 0.58 152424
accuracy 0.98 84425503
macro avg 0.83 0.74 0.77 84425503
weighted avg 0.98 0.98 0.98 84425503
----- confusion matrix -----
t/p 0 . , ? - :
0 1.0 0.0 0.0 0.0 0.0 0.0
. 0.0 1.0 0.0 0.0 0.0 0.0
, 0.1 0.0 0.9 0.0 0.0 0.0
? 0.0 0.1 0.0 0.8 0.0 0.0
- 0.1 0.1 0.5 0.0 0.3 0.0
: 0.0 0.3 0.1 0.0 0.0 0.5 |