Updated README.md

README.md

@@ -29,7 +29,7 @@ library_name: transformers
 # 📊 FinBERT Fine-Tuned on Financial News/Texts
 
 A fine-tuned version of [`ProsusAI/finbert`](https://huggingface.co/ProsusAI/finbert) trained for **financial sentiment analysis**  on financial news texts and headlines. 
-This fine-tuned model achieves a significant improvement over the original finbert, outperforming it by over 38% in accuracy on financial sentiment classification tasks.
+This fine-tuned model achieves a significant improvement over the original finbert, **outperforming it by over 38% in accuracy** on financial sentiment classification tasks.
 
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@@ -45,15 +45,16 @@ The goal of this model is to detect **positive**, **neutral**, or **negative sen
 
 - Labeled financial text samples (positive / neutral / negative)
 - Includes earnings statements, market commentary, and financial news headlines
+- Only included **neutral**, **positive** and **negative** texts.
 
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 ## 🧪 Benchmark Evaluation
 
 The model was evaluated against **three benchmark datasets**:
-- ✅ **Financial PhraseBank (All Agree and All Combined)** (https://www.researchgate.net/publication/251231364_FinancialPhraseBank-v10)
-- ✅ **FiQA + PhraseBank Kaggle Merge** (https://www.kaggle.com/datasets/sbhatti/financial-sentiment-analysis/data)
-- ✅ **fingpt-sentiment-train (test split)** (https://huggingface.co/datasets/FinGPT/fingpt-sentiment-train)
+- **[Financial PhraseBank (All Agree and All Combined)](https://www.researchgate.net/publication/251231364_FinancialPhraseBank-v10)**
+- **[FiQA + PhraseBank Kaggle Merge](https://www.kaggle.com/datasets/sbhatti/financial-sentiment-analysis/data)**
+- **[fingpt-sentiment-train (test split)](https://huggingface.co/datasets/FinGPT/fingpt-sentiment-train)**
 
 Metrics used:
 - **Accuracy**