Update README.md

README.md

@@ -36,16 +36,16 @@ print(output["generated_text"])
 
 ## Evals
 
-LM Eval Harness results (local compoletions/vllm):
-
-<iframe src="https://wandb.ai/ggbetz/argunauts-training/reports/DebateLabKIT-Llama-3-1-Argunaut-1-8B-SFT--VmlldzoxMDc2ODAwOQ" style="border:none;height:1024px;width:100%">
+LM Eval Harness results (local completions/vllm): [wandb report](https://api.wandb.ai/links/ggbetz/3bwr0ou6)
 
 Pinning `Llama-3.1-Argunaut-1-8B-SFT` against top-performing LLama-8B models from [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/):
 
-|Model|BBH|MATH|GPQA|MMLU_Pro|
+|Model|BBH|MATH|GPQA|MMLU Pro|
 |:--------|:---:|:---:|:---:|:---:|
-| gg | 44.6% | 9.0% | 32.1% | 34.5% | 
-| ll | 44.6% | 9.0% | 32.1% | 34.5% | 
+| **Llama-3.1-Argunaut-1-8B-SFT** | 44.6% | 9.0% | 32.1% | 34.5% | 
+| meta-llama/Meta-Llama-3.1-8B-Instruct | 29.9% | 19.3% | 2.6% | 30.7% |
+| arcee-ai/Llama-3.1-SuperNova-Lite | 31.6% | 17.4% | 7.5% | 32.0% |
+| allenai/Llama-3.1-Tulu-3-8B-SFT | 13.9% | 11.4% | 3.7% | 20.1% |
 
 
 ## SFT dataset mixture