Update README.md

README.md

@@ -120,11 +120,20 @@ For running the benchmark we used another awesome contribution from Maxime: [LLM
 
 |                                                      Model                                                        | AGIEval | GPT4All | TruthfulQA | Bigbench | Average | dpo-pairs | % original pairs |
 |-------------------------------------------------------------------------------------------------------------------|--------:|--------:|-----------:|---------:|--------:|----------:|-----------------:|
-| [argilla/distilabeled-Hermes-2.5-Mistral-7B](https://huggingface.co/argilla/distilabeled-Hermes-2.5-Mistral-7B)   |   **44.64** |   **73.35** |      55.96 |    42.21 |   **54.04** |     5,922 |              **46%** |
+| [argilla/distilabeled-Hermes-2.5-Mistral-7B](https://huggingface.co/argilla/distilabeled-Hermes-2.5-Mistral-7B)   |   **44.64** |   **73.35** |      55.96 |    42.21 |   **54.04** |     **5,922** |              **46%** |
 | [dvilasuero/NeuralHermes-2.5-Mistral-7B-distilabel](https://huggingface.co/dvilasuero/NeuralHermes-2.5-Mistral-7B-distilabel) (first experiment) |   44.27 |    73.3 |      **56.26** |    **42.25** |   54.02 |     7,732 |              60% |
 | mlabonne/NeuralHermes-2.5-Mistral-7B (original recipe)                                                                   |   43.67 |   73.24 |      55.37 |    41.76 |   53.51 |    12,859 |             100% |
 | teknium/OpenHermes-2.5-Mistral-7B                                                                                 |   42.75  |   72.99 |    52.99  |   40.94  |    52.42| 0 (no DPO) | N/A |
 
+> Update: we now include llm-harness results too!
+ 
+| Model | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K | dpo-pairs | % original pairs |
+|------------------------------------------------------|-------|-----------|------|-----------:|------------|-------|----------:|-----------------:|
+| [argilla/distilabeled-Hermes-2.5-Mistral-7B](https://huggingface.co/argilla/distilabeled-Hermes-2.5-Mistral-7B) | 66.04 | **85.07** | Pending | 55.96 | **79.56** | **66.34** | **5,922** | **46%** |
+| [dvilasuero/NeuralHermes-2.5-Mistral-7B-distilabel](https://huggingface.co/dvilasuero/NeuralHermes-2.5-Mistral-7B-distilabel) | 65.36 | 84.74 | Pending | **56.26** | 79.24 | 65.13 | 7,732 | 60% |
+| [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B) | **66.55** | 84.90 | **63.32** | 54.93 | 78.30 | 61.30 | 12,859 | 100% |
+| [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) | 64.93 | 84.18 | 63.64 | 52.24 | 78.06 | 26.08 | 0 (no DPO) | N/A |
+
 ### Training Hardware
 
 We used 1 x A100 40GB in runpod for less than 1 hour.