Update README.md

README.md

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 ## Model description
 
-Cased fine-tuned BERT model for Hungarian, trained on (manuallay anniated) parliamentary pre-agenda speeches scraped from `parlament.hu`. 
+Cased fine-tuned BERT model for Hungarian, trained on (manually annotated) parliamentary pre-agenda speeches scraped from `parlament.hu`. 
 
 ## Intended uses & limitations
 
-The model can be used as any other (cased) BERT model. It has been tested recognizing positive, negative and neutral sentences in (parliamentary) pre-agenda speeches, where:
+The model can be used as any other (cased) BERT model. It has been tested recognizing positive, negative, and neutral sentences in (parliamentary) pre-agenda speeches, where:
 * 'Label_0': Neutral
 * 'Label_1': Positive
 * 'Label_2': Negative
 
 ## Training
 
-Fine-tuned version of the original huBERT model (`SZTAKI-HLT/hubert-base-cc`), trained on HunEmPoli corpus.
+The fine-tuned version of the original huBERT model (`SZTAKI-HLT/hubert-base-cc`), trained on HunEmPoli corpus.
 
 ## Eval results