Update README.md

README.md

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 # uzroberta-sentiment-analysis
 
-This is a roBERTa-base model trained on ~23K reviews(~323K words) and finetuned for sentiment analysis of customer reviews. This model is built as part of author's project at the Uz-NLP 2022 Hackathon and it is suitable for Uzbek language.
+This is a roBERTa-base model trained on ~23K reviews (more than 323K words) and finetuned for sentiment analysis of customer reviews. This model is built as part of author's project at the Uz-NLP 2022 Hackathon and it is suitable for Uzbek language.
 
 <b>Labels</b>: 
 0 -> Negative;
 1 -> Positive
 
-It achieves the following results on the evaluation set:
-- Loss: 0.5718
-- Precision: 0.9113
-- Recall: 0.8869
-- F1 Score: 0.8989
-- Accuracy: 0.896
-
 ## Model description
 
 This model is a fine-tuned version of [rifkat/uztext-3Gb-BPE-Roberta](https://huggingface.co/rifkat/uztext-3Gb-BPE-Roberta) on the [Uzbek App reviews for Sentiment Classification](https://github.com/SanatbekMatlatipov/uzbek-sentiment-analysis) dataset. It achieves the following results on the evaluation set: