Update README.md

README.md

@@ -25,17 +25,8 @@ This model is a fine-tuned version of [Qwen/Qwen3-4B-Base](https://huggingface.c
 
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+Hex-1 is a 4-billion parameter language model specifically optimized for Indian languages. It supports five major Indian languages, including Hindi, Kannada, Telugu, Tamil and Malayalam. 
+When benchmarked against leading models like Gemma-2B, LLaMA-3.2-3B, and Sarvam-1, Hex1 delivers best-in-class performance in all five supported languages on MMLU dataset. 
 
 ### Training hyperparameters
 
@@ -55,6 +46,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+### Performance Comparison on ARCC Dataset
+
+| Benchmark | Gemma-2-2B | Llama-3.2-3B | Llama-3.1-8B | Sarvam-1 | Hex-1   |
+|-----------|------------|--------------|---------------|-----------|--------|
+| arcc_hi   | 37.57      | 49.13        | 56.17         | 60.00     | 36.68  |
+| arcc_ta   | 32.78      | 34.70        | 44.78         | 57.04     | 38.65  |
+| arcc_te   | 30.00      | 34.09        | 43.04         | 59.39     | 37.96  |
+| arcc_kn   | 29.22      | 36.43        | 44.70         | 57.04     | 38.31  |
+| arcc_ml   | 29.91      | 33.22        | 46.78         | 58.96     | 29.60  |
+
 
 
 ### Framework versions