Update README.md

README.md

@@ -37,5 +37,5 @@ Our model can be used thanks to Transformers pipeline for sentiment analysis.
  {'label': 'negative', 'score': 0.9877365231513977}]
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-#Training data
+# Training data
 **FinancialBERT** model was fine-tuned on Financial PhraseBank, a dataset consisting of 4840 Financial News categorised by sentiment (negative, neutral, positive).