Apply latest README fixes

README.md

@@ -3,15 +3,6 @@ library_name: setfit
 tags:
 - setfit
 - absa
-- absa
-- absa
-- absa
-- absa
-- absa
-- absa
-- absa
-- absa
-- absa
 - sentence-transformers
 - text-classification
 - generated_from_setfit_trainer
@@ -39,23 +30,18 @@ co2_eq_emissions:
   hardware_used: 1 x NVIDIA GeForce RTX 3090
 base_model: BAAI/bge-small-en-v1.5
 model-index:
-- name: SetFit Aspect Model Aspect Model Aspect Model Aspect Model Aspect Model Aspect
-    Model Aspect Model Aspect Model Aspect Model Aspect Model with BAAI/bge-small-en-v1.5
+- name: SetFit Aspect Model with BAAI/bge-small-en-v1.5
   results:
   - task:
       type: text-classification
       name: Text Classification
-    dataset:
-      name: Unknown
-      type: unknown
-      split: test
     metrics:
     - type: accuracy
       value: 0.7871243108660857
       name: Accuracy
 ---
 
-# SetFit Aspect Model Aspect Model Aspect Model Aspect Model Aspect Model Aspect Model Aspect Model Aspect Model Aspect Model Aspect Model with BAAI/bge-small-en-v1.5
+# SetFit Aspect Model with BAAI/bge-small-en-v1.5
 
 This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Aspect Based Sentiment Analysis (ABSA). This SetFit model uses [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) 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. In particular, this model is in charge of filtering aspect span candidates.