metadata
language:
- is
- en
- multilingual
tags:
- icelandic
- qa
datasets:
- ic3
- igc
metrics:
- em
- f1
widget:
- text: Hverrar tr�ar var Halld�r Laxness ?
context: >-
Halld�r Kiljan Laxness was born in 1902 in Reykjavik , the capital of
Iceland , but spent his youth in the country . From the age of seventeen
on , he travelled and lived abroad , chiefly on the European continent .
He was influenced by expressionism and other modern currents in Germany
and France . In the mid-twenties he was converted to Catholicism ; his
spiritual experiences are reflected in several books of an
autobiographical nature , chiefly Undir Helgahn�k ( Under the Holy
Mountain ) , 1924 . In 1927 , he published his first important novel ,
Vefarinn mikli fr� Kasm�r ( The Great Weaver from Kashmir ) . Laxness�s
religious period did not last long ; during a visit to America he became
attracted to socialism . Al�ydub�kin ( The Book of the People ) , 1929 ,
is evidence of a change toward a socialist outlook . In 1930 , Laxness
settled in Iceland . Laxness�s main achievement consists of three novel
cycles written during the thirties , dealing with the people of Iceland .
�� v�nvi�ur hreini , 1931 , and Fuglinn � fj�runni , 1932 , ( both
translated as Salka Valka ) , tell the story of a poor fisher girl ;
Sj�lfst�tt f�lk ( Independent People ) , 1934 - 35 , treats the fortunes
of small farmers , whereas the tetralogy Lj�s heimsins ( The Light of the
World ) , 1937 - 40 , has as its hero an Icelandic folk poet . Laxness�s
later works are frequently historical and influenced by the saga tradition
: �slandsklukkan ( The Bell of Iceland ) , 1943 - 46 , Gerpla ( The Happy
Warriors ) , 1952 , and Parad�sarheimt ( Paradise Reclaimed ) , 1960 .
Laxness is also the author of the topical and sharply polemical At�mst��in
( The Atom Station ) , 1948 .
XLMr-ENIS-QA-IsQ-EnA
Model description
This is an Icelandic reading comprehension Q&A model.
Intended uses & limitations
This model is part of my MSc thesis about Q&A for Icelandic.
How to use
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("vesteinn/IceBERT-QA")
model = AutoModelForQuestionAnswering.from_pretrained("vesteinn/IceBERT-QA")
Limitations and bias
Training data
Translated English datasets were used along with the Natural Questions in Icelandic dataset.
Training procedure
Eval results
BibTeX entry and citation info