Update README.md

README.md

@@ -38,11 +38,9 @@ While FinOPT-Washington has been fine-tuned on a financial question-answering da
 
 1. **Domain-Specific Focus:** The model's training data primarily consists of financial questions and answers from the financial QA dataset. It may not perform as well on questions outside the financial domain.
 
-2. **Knowledge Cutoff:** The model's knowledge is based on data available until September 2021. It may not be aware of recent financial events, news, or regulatory changes after that date.
+2. **Potential Bias:** The model may reflect biases present in the training data. It is crucial to carefully evaluate and interpret the model's responses, particularly on sensitive topics such as investment advice or financial recommendations.
 
-3. **Potential Bias:** The model may reflect biases present in the training data. It is crucial to carefully evaluate and interpret the model's responses, particularly on sensitive topics such as investment advice or financial recommendations.
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-4. **Confidence and Verification:** The model generates responses based on patterns learned from the training data, but it does not have inherent fact-checking capabilities. Users should verify the information provided by the model from reliable sources before making any financial decisions.
+3. **Confidence and Verification:** The model generates responses based on patterns learned from the training data, but it does not have inherent fact-checking capabilities. Users should verify the information provided by the model from reliable sources before making any financial decisions.
 
 ## Training Data
 FinOPT-Washington was trained on a financial question-answering dataset, which consists of questions and answers related to various financial topics. The dataset was collected from online sources and financial forums, and manually handcrafted.