Update README.md

README.md

@@ -35,4 +35,7 @@ Our model can be used thanks to Transformers pipeline for sentiment analysis.
 [{'label': 'positive', 'score': 0.9998133778572083},
  {'label': 'neutral', 'score': 0.9997822642326355},
  {'label': 'negative', 'score': 0.9877365231513977}]
-```
+```
+
+#Training data
+**FinancialBERT** model was fine-tuned on Financial PhraseBank, a dataset consisting of 4840 Financial News categorised by sentiment (negative, neutral, positive).