Update README.md

Author: Andy-jqa

README.md

@@ -47,7 +47,7 @@ python run_matching.py 2022 gpt-4
 
 The second step of TrialGPT is to aggregate the criterion-level predictions to get trial-level scores, including one score for relevance and one score for eligibility.
 
-Please make sure that the step 1 results are ready before running the step 2 code:
+Please make sure that the step 1 results are ready before running the step 2 code (depending on the API response rate, matching a patient and a clinical trial normally takes less than 30s):
 ```bash
 # format: python run_aggregation.py {split} {model}
 python run_aggregation.py sigir gpt-4
@@ -59,7 +59,7 @@ python run_aggregation.py 2022 gpt-4
 
 The third step is to compute the performance of different linear features, LLM features, and the combined features.
 
-Please make sure that the step 1 and step 2 results are ready before running the step 3 code:
+Please make sure that the step 1 and step 2 results are ready before running the step 3 code (depending on the API response rate, aggregating a patient-trial pair normally takes less than 20s):
 ```bash
 # first convert the results of each split into a csv file
 # format: python convert_results_to_csv.py {split} {model}