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INFVague_MODEL – AI Model by sag-uniroma2 | AlphaNeural AI
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INFVague_MODEL
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text-classification
en
google-bert/bert-base-cased
finetune
apache-2.0
us
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Task Title
Informative vs Non-Informative/Vague Text Identification (INFVague)
Task Description
Binary classification model for identifying whether sustainability disclosures are informative or vague/non-informative.
Dataset Summary
Total samples: 732
Informative: 629
Non-Informative/Vague: 103
Model
Base model:
bert-base-cased
Performance
Accuracy:
87.2% ± 2.1
Macro F1:
67.5% ± 8.9
Results are reported as Mean ± SD across 10-fold cross-validation, where each fold was used once as the test set.
