Update README.md

README.md

@@ -12,7 +12,7 @@ Medical Education Language Transformer (MELT)
 
 The MELT-Mistral-3x7B-Instruct-v0.1 Large Language Model (LLM) is a pretrained generative text model pre-trained and fine-tuned on using publically avalable medical data.
 
-MELT-Mistral-3x7B-Instruct-v0.1 demonstrated a average 19.7% improvement over Mistral-3x7B-Instruct-v0.1 (MoE of 3 X Mistral-7B-Instruct-v0.1) across 3 USMLE benchmarks.
+MELT-Mistral-3x7B-Instruct-v0.1 demonstrated a average 19.7% improvement over Mistral-3x7B-Instruct-v0.1 (MoE of 3 X Mistral-7B-Instruct-v0.1) across 3 USMLE, Indian AIIMS, and NEET medical examination benchmarks.
 
 This is MoE model, thanks to [Charles Goddard](https://huggingface.co/chargoddard) for code/tools.
 
@@ -21,7 +21,7 @@ This is MoE model, thanks to [Charles Goddard](https://huggingface.co/chargoddar
 
 The Medical Education Language Transformer (MELT) models have been trained on a wide-range of text, chat, Q/A, and instruction data in the medical domain.   
 
-While the model was evaluated using publically avalable [USMLE](https://www.usmle.org/) example questions, its use it intented to be more broadly applicable.   
+While the model was evaluated using publically avalable [USMLE](https://www.usmle.org/), Indian AIIMS, and NEET medical examination example questions, its use it intented to be more broadly applicable.   
 
 ### Model Description
 
@@ -93,7 +93,7 @@ The following datasets were used for training:
 
 <!-- This section describes the evaluation protocols and provides the results. -->
 
-MELT-Mistral-3x7B-Instruct-v0.1 demonstrated a average 19.7% improvement over Mistral-3x7B-Instruct-v0.1 (MoE of 3 X Mistral-7B-Instruct-v0.1) across 3 USMLE benchmarks.
+MELT-Mistral-3x7B-Instruct-v0.1 demonstrated a average 19.7% improvement over Mistral-3x7B-Instruct-v0.1 (MoE of 3 X Mistral-7B-Instruct-v0.1) across 3 USMLE, 3 USMLE, Indian AIIMS, and NEET medical examination benchmarks.
 
 ### Mistral-3x7B-Instruct-v0.1
 - **medqa:** {'base': {'Average': 42.88, 'STEP-1': 43.51, 'STEP-2&3': 42.16}}