Upload ChenWeiLi/Med-ChimeraLlama-3_1k/results_2024-05-22 01:28:49.833414.json with huggingface_hub

ChenWeiLi/Med-ChimeraLlama-3_1k/results_2024-05-22 01:28:49.833414.json

@@ -0,0 +1,75 @@
+{
+  "results": {
+    "pubmedqa": {
+      "acc,none": 0.75,
+      "acc_stderr,none": 0.019384310743640384,
+      "alias": "pubmedqa"
+    },
+    "mmlu_professional_medicine": {
+      "alias": "professional_medicine",
+      "acc,none": 0.7683823529411765,
+      "acc_stderr,none": 0.025626533803777562
+    },
+    "mmlu_medical_genetics": {
+      "alias": "medical_genetics",
+      "acc,none": 0.82,
+      "acc_stderr,none": 0.03861229196653695
+    },
+    "mmlu_college_medicine": {
+      "alias": "college_medicine",
+      "acc,none": 0.6936416184971098,
+      "acc_stderr,none": 0.03514942551267437
+    },
+    "mmlu_college_biology": {
+      "alias": "college_biology",
+      "acc,none": 0.7916666666666666,
+      "acc_stderr,none": 0.03396116205845334
+    },
+    "mmlu_clinical_knowledge": {
+      "alias": "clinical_knowledge",
+      "acc,none": 0.7735849056603774,
+      "acc_stderr,none": 0.02575755989310675
+    },
+    "mmlu_anatomy": {
+      "alias": "anatomy",
+      "acc,none": 0.6962962962962963,
+      "acc_stderr,none": 0.039725528847851375
+    },
+    "medqa_4options": {
+      "acc,none": 0.631578947368421,
+      "acc_stderr,none": 0.01352516233552755,
+      "acc_norm,none": 0.631578947368421,
+      "acc_norm_stderr,none": 0.01352516233552755,
+      "alias": "medqa_4options"
+    },
+    "medmcqa": {
+      "acc,none": 0.6105665790102797,
+      "acc_stderr,none": 0.007540343139055615,
+      "acc_norm,none": 0.6105665790102797,
+      "acc_norm_stderr,none": 0.007540343139055615,
+      "alias": "medmcqa"
+    }
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=ChenWeiLi/Med-ChimeraLlama-3_1k,revision=main,dtype=bfloat16",
+    "model_num_parameters": 8030261248,
+    "model_dtype": "bfloat16",
+    "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/Med-ChimeraLlama-3_1k"
+  }
+}