Update README.md

README.md

@@ -44,17 +44,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 3.0
 
-### Training results
+### Training results - Multilingual Task Performance Comparison
 
-### 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  |
+| Language   | Hellaswag | ARC-c  | ARC-e  | MMLU   | BoolQ  |
+|------------|-----------|--------|--------|--------|--------|
+| Hindi      | 47.85     | 36.68  | 52.14  | 46.73  | 57.61  |
+| Tamil      | 49.45     | 38.65  | 53.45  | 44.71  | 45.87  |
+| Telugu     | 50.84     | 37.96  | 53.36  | 46.85  | 51.89  |
+| Kannada    | 52.16     | 38.31  | 53.11  | 46.38  | 52.32  |
+| Malayalam  | 46.32     | 29.60  | 40.86  | 43.63  | 46.69  |