Update README.md

README.md

@@ -23,6 +23,10 @@ inference: true
 base_model: TaylorAI/bge-micro-v2
 ---
 
+library_name: setfit
+Base model: model_dataset_training_golden_records_jj_23022024_v4
+dataset test: test_filter_golden_records_jj_23022024_test_dataset_v4
+
 # SetFit with TaylorAI/bge-micro-v2
 
 This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [TaylorAI/bge-micro-v2](https://huggingface.co/TaylorAI/bge-micro-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.
@@ -33,6 +37,9 @@ The model has been trained using an efficient few-shot learning technique that i
 2. Training a classification head with features from the fine-tuned Sentence Transformer.
 
 ## Model Details
+library_name: setfit
+Base model: model_dataset_training_golden_records_jj_23022024_v4
+dataset test: test_filter_golden_records_jj_23022024_test_dataset_v4
 
 ### Model Description
 - **Model Type:** SetFit