Upload probemedicalandyonseimailab/medllama3-v10/results_2024-05-08 07:47:47.221841.json with huggingface_hub

probemedicalandyonseimailab/medllama3-v10/results_2024-05-08 07:47:47.221841.json

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+{
+  "results": {
+    "pubmedqa": {
+      "acc,none": 0.756,
+      "acc_stderr,none": 0.019226734893614653,
+      "alias": "pubmedqa"
+    },
+    "mmlu_professional_medicine": {
+      "alias": "professional_medicine",
+      "acc,none": 0.7169117647058824,
+      "acc_stderr,none": 0.02736586113151381
+    },
+    "mmlu_medical_genetics": {
+      "alias": "medical_genetics",
+      "acc,none": 0.81,
+      "acc_stderr,none": 0.03942772444036622
+    },
+    "mmlu_college_medicine": {
+      "alias": "college_medicine",
+      "acc,none": 0.6705202312138728,
+      "acc_stderr,none": 0.03583901754736411
+    },
+    "mmlu_college_biology": {
+      "alias": "college_biology",
+      "acc,none": 0.7638888888888888,
+      "acc_stderr,none": 0.03551446610810826
+    },
+    "mmlu_clinical_knowledge": {
+      "alias": "clinical_knowledge",
+      "acc,none": 0.7245283018867924,
+      "acc_stderr,none": 0.027495663683724053
+    },
+    "mmlu_anatomy": {
+      "alias": "anatomy",
+      "acc,none": 0.6814814814814815,
+      "acc_stderr,none": 0.04024778401977111
+    },
+    "medqa_4options": {
+      "acc,none": 0.600942655145326,
+      "acc_stderr,none": 0.013730634744297237,
+      "acc_norm,none": 0.600942655145326,
+      "acc_norm_stderr,none": 0.013730634744297237,
+      "alias": "medqa_4options"
+    },
+    "medmcqa": {
+      "acc,none": 0.5508008606263447,
+      "acc_stderr,none": 0.007691742710239426,
+      "acc_norm,none": 0.5508008606263447,
+      "acc_norm_stderr,none": 0.007691742710239426,
+      "alias": "medmcqa"
+    }
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=probemedicalandyonseimailab/medllama3-v10,revision=main,dtype=bfloat16",
+    "model_num_parameters": 8072204288,
+    "model_dtype": "bfloat16",
+    "model_revision": "main",
+    "model_sha": "main",
+    "batch_size": "auto",
+    "batch_sizes": [
+      8
+    ],
+    "device": "cuda:0",
+    "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": "probemedicalandyonseimailab/medllama3-v10"
+  }
+}