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{
  "results": {
    "pubmedqa": {
      "acc,none": 0.74,
      "acc_stderr,none": 0.01963596552972554,
      "alias": "pubmedqa"
    },
    "mmlu_professional_medicine": {
      "alias": "professional_medicine",
      "acc,none": 0.7463235294117647,
      "acc_stderr,none": 0.02643132987078954
    },
    "mmlu_medical_genetics": {
      "alias": "medical_genetics",
      "acc,none": 0.82,
      "acc_stderr,none": 0.038612291966536955
    },
    "mmlu_college_medicine": {
      "alias": "college_medicine",
      "acc,none": 0.6647398843930635,
      "acc_stderr,none": 0.03599586301247078
    },
    "mmlu_college_biology": {
      "alias": "college_biology",
      "acc,none": 0.7916666666666666,
      "acc_stderr,none": 0.03396116205845334
    },
    "mmlu_clinical_knowledge": {
      "alias": "clinical_knowledge",
      "acc,none": 0.7547169811320755,
      "acc_stderr,none": 0.02648035717989568
    },
    "mmlu_anatomy": {
      "alias": "anatomy",
      "acc,none": 0.7111111111111111,
      "acc_stderr,none": 0.039154506304142495
    },
    "medqa_4options": {
      "acc,none": 0.593872741555381,
      "acc_stderr,none": 0.013770008552248308,
      "acc_norm,none": 0.593872741555381,
      "acc_norm_stderr,none": 0.013770008552248308,
      "alias": "medqa_4options"
    },
    "medmcqa": {
      "acc,none": 0.5730337078651685,
      "acc_stderr,none": 0.0076488274798314606,
      "acc_norm,none": 0.5730337078651685,
      "acc_norm_stderr,none": 0.0076488274798314606,
      "alias": "medmcqa"
    }
  },
  "config": {
    "model": "hf",
    "model_args": "pretrained=ChenWeiLi/MedLlama-3-8B_DARE_v1.0,revision=main,dtype=float16",
    "model_num_parameters": 8030261248,
    "model_dtype": "float16",
    "model_revision": "main",
    "model_sha": "main",
    "batch_size": "auto",
    "batch_sizes": [
      8
    ],
    "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": "ChenWeiLi/MedLlama-3-8B_DARE_v1.0"
  }
}