Update README.md

README.md

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 ## Model
 
-  * Fine tuned model from SieBERT checkpoint (RoBERTa large). See: [SieBERT](https://huggingface.co/siebert/sentiment-roberta-large-english)
+  * Fine tuned model from SieBERT checkpoint (RoBERTa large). See [SieBERT](https://huggingface.co/siebert/sentiment-roberta-large-english)
   * Binary Classification
   * Dataset: 7,958 positive sentiments (label 1) and 1,437 negative sentiments (label 0)
   * Train / Test : 80/20
   * LEARNING_RATE = 1e-05
   * 3 Epochs
   * Preclassifier 1024*1024 with dropout 0.1
-  * Test data: F-measure label 0: 0.9736
-  * Test data: F-measure label 1: 0.8547
+  * Test data: F-measure label 1: 0.9736
+  * Test data: F-measure label 0: 0.8547