Update README.md

README.md

@@ -30,7 +30,7 @@ To fine-tune the model, I use several datasets, including:
 - The [financial phrase bank](https://arxiv.org/abs/1307.5336) of Malo et al. (2013) for sentiment classification, translated to German using [DeepL](https://www.deepl.com/translator) (see [here](https://huggingface.co/datasets/scherrmann/financial_phrasebank_75agree_german)).
 
 ### Benchmark Results
-The further pre-trained German FinBERT model demonstrated the following performances on finance-specific downstream tasks:
+The pre-trained from scratch German FinBERT model demonstrated the following performances on finance-specific downstream tasks:
 
 Ad-Hoc Multi-Label Database:
 - Macro F1: 85.67%