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  # Academic Main Text_Classifier (en)
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- This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3476
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  - Accuracy: 0.9242
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  ## Training and evaluation data
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- More information needed
 
 
 
 
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  ## Training procedure
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  # Academic Main Text_Classifier (en)
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+ This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on a labelled dataset of publications in the Bibliography of Linguistic Literature.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3476
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  - Accuracy: 0.9242
 
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  ## Training and evaluation data
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+ ### Labelled dataset from open access publications of the Bibliography of Linguistic Literature (BLL)
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+ The Bibliography of Linguistic Literature (BLL) is one of the most comprehensive sources of bibliographic information for the general linguistics with its subdomains and neighboring disciplines as well as for the English, German and Romance linguistics. The subject bibliography is based mainly on the library's holdings on linguistics. It lists monographs, dissertations, articles from periodicals, collective works, conference contributions, unpublished research papers, etc. The printed edition is published annually (at the end of each year) and covers the literature of the previous year and some supplements. Usually, it includes about 10,000 references per year. (Frankfurt a. M. : Klostermann, 1.1971/75(1976) - 47.2021 (2022))
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+ (See more at https://www.ub.uni-frankfurt.de/linguistik/sammlung_en.html)
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  ## Training procedure
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