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# bert-for-patents-finetuned_ls-sys
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This model is a fine-tuned version of anferico/bert-for-patents on a unique dataset consisting of 45392 patent applications, of which 10392 were defined as "
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and 35000 as "Not
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It achieves the following results on the evaluation set:
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- Loss: 0.0529
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# bert-for-patents-finetuned_ls-sys
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This model is a fine-tuned version of anferico/bert-for-patents on a unique dataset consisting of 45392 patent applications, of which 10392 were defined as "LS-SYS-related"
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and 35000 as "Not LS-SYS-related". The fine-tuning is performed on patents' titles and abstracts. The base model was fine-tuned to perform a binary classification task,
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identifying patents related to the "Learning and Symbolic Systems" domain.
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It achieves the following results on the evaluation set:
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- Loss: 0.0529
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