almugabo
/

review_classifier

Text Classification

sentence-transformers

generated_from_setfit_trainer

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almugabo commited on Jan 16, 2024

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@@ -13,9 +13,13 @@ inference: true
 base_model: sentence-transformers/paraphrase-mpnet-base-v2
 ---
-# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
-This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
 The model has been trained using an efficient few-shot learning technique that involves:

 base_model: sentence-transformers/paraphrase-mpnet-base-v2
 ---
+# Review classifier
+This model is a text classification model which, when given abstract of a paper, will indicate it if it is a review (1) or not (0).
+It is based om [SetFit](https://github.com/huggingface/setfit) model and uses the [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the Sentence Transformer embedding model.
+A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
 The model has been trained using an efficient few-shot learning technique that involves: