Update README.md (#1)

- Update README.md (545f9414e580ebf80d8aee4a4cdc695ecbdcf92c)


Co-authored-by: Shubhra Pandit <shubhrapandit@users.noreply.huggingface.co>

README.md

@@ -50,17 +50,16 @@ Model evaluation metrics and results.
 
 | Benchmark                                      | Metric        | Llama-2-7b-instruct  | Llama-2-7b-pruned70-retrained-instruct |
 |------------------------------------------------|---------------|-------------|-------------------------------|
-| [MMLU](https://arxiv.org/abs/2009.03300)       | 5-shot, top-1 | xxxx        | xxxx                          |
-| [HellaSwag](https://arxiv.org/abs/1905.07830)  | 0-shot        | xxxx        | xxxx                          |
-| [WinoGrande](https://arxiv.org/abs/1907.10641) | partial score | xxxx        | xxxx                          |
-| [ARC-c](https://arxiv.org/abs/1911.01547)      |               | xxxx        | xxxx                          |
-| [TruthfulQA](https://arxiv.org/abs/2109.07958) | 5-shot        | xxxx        | xxxx                          |
-| [HumanEval](https://arxiv.org/abs/2107.03374)  | pass@1        | xxxx        | xxxx                          |
-| [GSM8K](https://arxiv.org/abs/2110.14168)      | maj@1         | xxxx        | xxxx                          |
+| [MMLU](https://arxiv.org/abs/2009.03300)       | 5-shot        | 48.60%        | 42.33%                        |
+| [HellaSwag](https://arxiv.org/abs/1905.07830)  | 10-shot       | 79.45%        | 77.21%                        |
+| [WinoGrande](https://arxiv.org/abs/1907.10641) | 5-shot        | 75.69%        | 71.90%                        |
+| [ARC-c](https://arxiv.org/abs/1911.01547)      | 25-shot       | 53.92%        | 47.35%                        |
+| [TruthfulQA](https://arxiv.org/abs/2109.07958) | 0-shot        | 43.63%        | 42.25%                        |
+| [GSM8K](https://arxiv.org/abs/2110.14168)      | 5-shot        | 15.92%        | 14.25%                        |
 
 ## Model Training Details
 
-Coming soon.
+This model was obtained by sparse-tranfer of the sparse foundational model [Llama-2-7b-pruned50-retrained](https://huggingface.co/neuralmagic/Llama-2-7b-pruned70-retrained) on a blend of [Open Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus), 10% [Open Orca](https://huggingface.co/datasets/Open-Orca/OpenOrca) and 10% [Dolphin](https://huggingface.co/datasets/cognitivecomputations/dolphin) datasets. Training was perfomerd for 6 epochs.
 
 ## Help