Update README.md

README.md

@@ -7,11 +7,13 @@ datasets:
 model-index:
 - name: selims
   results: []
+widget:
+- text: "I love conducting research on twins!"
+  example_title: "Sentiment analysis - English"
+- text: "Ja, ik vind het tweelingen onderzoek leuk maar complex, weet je."
+  example_title: "Sentiment analysis - Dutch"
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # selims
 
 This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on the tweet_eval dataset.
@@ -47,8 +49,3 @@ The following hyperparameters were used during training:
 - Datasets 2.0.0
 - Tokenizers 0.10.3
 
-widget:
-- text: "I love conducting research on twins!"
-  example_title: "Sentiment analysis - English"
-- text: "Ja, ik vind het tweelingen onderzoek leuk maar complex, weet je."
-  example_title: "Sentiment analysis - Dutch"