Update README.md

README.md

@@ -49,17 +49,20 @@ Model evaluation metrics and results.
 
 | Benchmark                                      | Metric        | Llama-2-7b-ultrachat  | Llama-2-7b-pruned50-retrained-ultrachat |
 |------------------------------------------------|---------------|-------------|-------------------------------|
-| [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        | 46.1%       | 41.4%                         |
+| [HellaSwag](https://arxiv.org/abs/1905.07830)  | 0-shot        | 75.9%       | 73.5%                         |
+| [WinoGrande](https://arxiv.org/abs/1907.10641) | 5-shot        | 72.6%       | 67.8%                         |
+| [ARC-c](https://arxiv.org/abs/1911.01547)      | 25-shot       | 52.8%       | 49.0%                         |
+| [TruthfulQA](https://arxiv.org/abs/2109.07958) | 5-shot        | 44.8%       | 39.5%                         |
+| [GSM8K](https://arxiv.org/abs/2110.14168)      | 5-shot        | 12.4%       | 8.0%                          |
+| [AlpacaEval](https://arxiv.org/abs/2107.03374) ([Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) evaluator) | Win rate  | 57.6% | 60.1% |
+| [AlpacaEval](https://arxiv.org/abs/2107.03374) (GPT-4 Turbo evaluator) | Win rate  | 60.6% | 59.0% |
+
 
 ## 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-pruned50-retrained) on the [ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) dataset.
+Training was perfomerd for 2 epochs and used the [SquareHead](https://arxiv.org/abs/2310.06927) knowledge distillation with [Llama-2-7b-ultrachat](https://huggingface.co/neuralmagic/Llama-2-7b-ultrachat) as teacher.
 
 ## Help