Upload LeoLM/leo-mistral-hessianai-7b/results_2024-05-18 13:44:04.167120.json with huggingface_hub

LeoLM/leo-mistral-hessianai-7b/results_2024-05-18 13:44:04.167120.json

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+{
+  "results": {
+    "pubmedqa": {
+      "acc,none": 0.746,
+      "acc_stderr,none": 0.019486596801643427,
+      "alias": "pubmedqa"
+    },
+    "mmlu_professional_medicine": {
+      "alias": "professional_medicine",
+      "acc,none": 0.4522058823529412,
+      "acc_stderr,none": 0.03023375855159645
+    },
+    "mmlu_medical_genetics": {
+      "alias": "medical_genetics",
+      "acc,none": 0.5,
+      "acc_stderr,none": 0.050251890762960605
+    },
+    "mmlu_college_medicine": {
+      "alias": "college_medicine",
+      "acc,none": 0.43352601156069365,
+      "acc_stderr,none": 0.03778621079092055
+    },
+    "mmlu_college_biology": {
+      "alias": "college_biology",
+      "acc,none": 0.4652777777777778,
+      "acc_stderr,none": 0.04171115858181618
+    },
+    "mmlu_clinical_knowledge": {
+      "alias": "clinical_knowledge",
+      "acc,none": 0.5283018867924528,
+      "acc_stderr,none": 0.030723535249006107
+    },
+    "mmlu_anatomy": {
+      "alias": "anatomy",
+      "acc,none": 0.4740740740740741,
+      "acc_stderr,none": 0.04313531696750575
+    },
+    "medqa_4options": {
+      "acc,none": 0.39984289080911234,
+      "acc_stderr,none": 0.013735156467071649,
+      "acc_norm,none": 0.39984289080911234,
+      "acc_norm_stderr,none": 0.013735156467071649,
+      "alias": "medqa_4options"
+    },
+    "medmcqa": {
+      "acc,none": 0.34998804685632323,
+      "acc_stderr,none": 0.007375564466463087,
+      "acc_norm,none": 0.34998804685632323,
+      "acc_norm_stderr,none": 0.007375564466463087,
+      "alias": "medmcqa"
+    }
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=LeoLM/leo-mistral-hessianai-7b,revision=main,dtype=bfloat16",
+    "model_num_parameters": 7241732096,
+    "model_dtype": "bfloat16",
+    "model_revision": "main",
+    "model_sha": "main",
+    "batch_size": "auto",
+    "batch_sizes": [
+      32
+    ],
+    "device": "cuda:1",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null,
+    "random_seed": 0,
+    "numpy_seed": 1234,
+    "torch_seed": 1234,
+    "fewshot_seed": 1234,
+    "model_name": "LeoLM/leo-mistral-hessianai-7b"
+  }
+}