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@@ -10,14 +10,14 @@ metrics:
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  - precision
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  - recall
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  model-index:
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- - name: bert-for-patents-finetuned_r-as2
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # bert-for-patents-finetuned_r-as2
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  This model is a fine-tuned version of anferico/bert-for-patents on a unique dataset consisting of 46673 patent applications, of which 11387 were defined as
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  "RA-SYS-related" and 35000 as "Not RA-SYS-related". The fine-tuning is performed on patents' titles and abstracts. The base model was fine-tuned to perform
 
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  - precision
11
  - recall
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  model-index:
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+ - name: bert-for-patents-finetuned_r-as
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # bert-for-patents-finetuned_r-as
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  This model is a fine-tuned version of anferico/bert-for-patents on a unique dataset consisting of 46673 patent applications, of which 11387 were defined as
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  "RA-SYS-related" and 35000 as "Not RA-SYS-related". The fine-tuning is performed on patents' titles and abstracts. The base model was fine-tuned to perform