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dc.contributor.author Borovič, Mladen
dc.contributor.author Žagar, Kristjan
dc.contributor.author Ferme, Marko
dc.contributor.author Majninger, Sandi
dc.contributor.author Ojsteršek, Milan
dc.date.accessioned 2023-03-01T12:41:28Z
dc.date.available 2023-03-01T12:41:28Z
dc.date.issued 2022-09-22
dc.identifier.uri http://hdl.handle.net/11356/1778
dc.description 6 different fine-tuned Transformer-based models that solve the downstream task of extractive question answering in the Slovenian language. The fine-tuned models included are: bert-base-cased-squad2-SLO, bert-base-multilingual-cased-squad2-SLO, electra-base-squad2-SLO, roberta-base-squad2-SLO, sloberta-squad2-SLO and xlm-roberta-base-squad2-SLO. The models were trained and evaluated using the Slovene translation of the SQuAD2.0 dataset (https://www.clarin.si/repository/xmlui/handle/11356/1756). The models achieve these metric values: sloberta-squad2-SLO: EM=67.1, F1=73.56 xlm-roberta-base-squad2-SLO: EM=62.52, F1=69.51 bert-base-multilingual-cased-squad2-SLO: EM=61.37, F1=68.1 roberta-base-squad2-SLO: EM=58.23, F1=64.62 bert-base-cased-squad2-SLO: EM=55.12, F1=60.52 electra-base-squad2-SLO: EM=53.69, F1=60.85
dc.language.iso slv
dc.publisher Faculty of Electrical Engineering and Computer Science, University of Maribor
dc.rights Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.label PUB
dc.source.uri https://rsdo.slovenscina.eu/en/semantic-resources-and-technologies
dc.subject question answering
dc.subject slovenian language
dc.subject SQuAD
dc.subject extractive question answering
dc.subject language model
dc.title Fine-tuned models for extractive question answering in the Slovenian language
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
has.files yes
branding CLARIN.SI data & tools
demo.uri https://slovenscina.eu/odgovarjanje-na-vprasanja
contact.person Mladen Borovič mladen.borovic@um.si UM FERI
sponsor Ministry of Culture C3340-20-278001 Development of Slovene in a Digital Environment Other
files.count 6
files.size 3199258696


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Ime
bert-base-cased-squad2-SLO.zip
Velikost
388.99 MB
Format
application/zip
Opis
bert-base-cased-squad2-SLO model weights and tokenizer settings
MD5
71899094d6de396594ae2b58aa0caf94
 Prenesi datoteko  Predogled
 Predogled datoteke  
  • bert-base-cased-squad2-SLO
    • README.md1 kB
    • tokenizer_config.json553 B
    • all_results.json698 B
    • pytorch_model.bin410 MB
    • train_results.json197 B
    • config.json722 B
    • training_args.bin3 kB
    • eval_nbest_predictions.json48 MB
    • tokenizer.json653 kB
    • vocab.txt208 kB
    • special_tokens_map.json125 B
    • eval_null_odds.json591 kB
    • trainer_state.json7 kB
    • eval_results.json503 B
    • eval_predictions.json506 kB
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Ime
sloberta-squad2-SLO.zip
Velikost
396.31 MB
Format
application/zip
Opis
sloberta-squad2-SLO model weights and tokenizer settings
MD5
094683353dc635a22f189ff7995b5750
 Prenesi datoteko  Predogled
 Predogled datoteke  
  • sloberta-squad2-SLO
    • README.md1 kB
    • tokenizer_config.json588 B
    • all_results.json692 B
    • pytorch_model.bin419 MB
    • train_results.json191 B
    • config.json742 B
    • training_args.bin3 kB
    • eval_nbest_predictions.json52 MB
    • tokenizer.json2 MB
    • special_tokens_map.json353 B
    • eval_null_odds.json591 kB
    • trainer_state.json586 B
    • eval_results.json503 B
    • eval_predictions.json529 kB
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Ime
roberta-base-squad2-SLO.zip
Velikost
445.73 MB
Format
application/zip
Opis
roberta-base-squad2-SLO model weights and tokenizer settings
MD5
c3988fd4ba2d3c85e3f2a94a16d12c14
 Prenesi datoteko  Predogled
 Predogled datoteke  
  • roberta-base-squad2-SLO
    • README.md1 kB
    • tokenizer_config.json1 kB
    • all_results.json697 B
    • pytorch_model.bin473 MB
    • train_results.json197 B
    • merges.txt445 kB
    • vocab.json779 kB
    • config.json782 B
    • training_args.bin3 kB
    • eval_nbest_predictions.json48 MB
    • tokenizer.json2 MB
    • special_tokens_map.json957 B
    • eval_null_odds.json591 kB
    • trainer_state.json6 kB
    • eval_results.json502 B
    • eval_predictions.json512 kB
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Ime
electra-base-squad2-SLO.zip
Velikost
393.07 MB
Format
application/zip
Opis
electra-base-squad2-SLO model weights and tokenizer settings
MD5
283c80c273f7bfb2f5540315eaf387c2
 Prenesi datoteko  Predogled
 Predogled datoteke  
  • electra-base-squad2-SLO
    • README.md1 kB
    • tokenizer_config.json534 B
    • all_results.json696 B
    • pytorch_model.bin415 MB
    • train_results.json196 B
    • config.json846 B
    • training_args.bin3 kB
    • eval_nbest_predictions.json49 MB
    • tokenizer.json694 kB
    • vocab.txt226 kB
    • special_tokens_map.json125 B
    • eval_null_odds.json593 kB
    • trainer_state.json6 kB
    • eval_results.json502 B
    • eval_predictions.json549 kB
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Ime
xlm-roberta-base-squad2-SLO.zip
Velikost
790.68 MB
Format
application/zip
Opis
xlm-roberta-base-squad2-SLO model weights and tokenizer settings
MD5
5768a0d2aee33029dabf05b81a54db4a
 Prenesi datoteko  Predogled
 Predogled datoteke  
  • xlm-roberta-base-squad2-SLO
    • README.md1 kB
    • tokenizer_config.json451 B
    • all_results.json696 B
    • pytorch_model.bin1 GB
    • train_results.json196 B
    • config.json721 B
    • training_args.bin3 kB
    • eval_nbest_predictions.json50 MB
    • tokenizer.json16 MB
    • special_tokens_map.json280 B
    • eval_null_odds.json592 kB
    • trainer_state.json8 kB
    • eval_results.json502 B
    • eval_predictions.json538 kB
Icon
Ime
bert-base-multilingual-cased-squad2-SLO.zip
Velikost
636.27 MB
Format
application/zip
Opis
bert-base-multilingual-cased-squad2-SLO model weights and tokenizer settings
MD5
0d9eea42f6cda732c6a87195fb7a4782
 Prenesi datoteko  Predogled
 Predogled datoteke  
  • bert-base-multilingual-cased-squad2-SLO
    • README.md1 kB
    • tokenizer_config.json360 B
    • all_results.json695 B
    • pytorch_model.bin676 MB
    • train_results.json195 B
    • config.json846 B
    • training_args.bin3 kB
    • eval_nbest_predictions.json49 MB
    • tokenizer.json2 MB
    • vocab.txt972 kB
    • special_tokens_map.json125 B
    • eval_null_odds.json591 kB
    • trainer_state.json4 kB
    • eval_results.json502 B
    • eval_predictions.json526 kB

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