Upload ChenWeiLi/Med-ChimeraLlama-3_1k_10_epoch/results_2024-05-28 08:47:46.189887.json with huggingface_hub

ChenWeiLi/Med-ChimeraLlama-3_1k_10_epoch/results_2024-05-28 08:47:46.189887.json

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+{
+  "results": {
+    "pubmedqa": {
+      "acc,none": 0.726,
+      "acc_stderr,none": 0.01996610354027948,
+      "alias": "pubmedqa"
+    },
+    "mmlu_professional_medicine": {
+      "alias": "professional_medicine",
+      "acc,none": 0.7573529411764706,
+      "acc_stderr,none": 0.026040662474201264
+    },
+    "mmlu_medical_genetics": {
+      "alias": "medical_genetics",
+      "acc,none": 0.79,
+      "acc_stderr,none": 0.040936018074033256
+    },
+    "mmlu_college_medicine": {
+      "alias": "college_medicine",
+      "acc,none": 0.6763005780346821,
+      "acc_stderr,none": 0.0356760379963917
+    },
+    "mmlu_college_biology": {
+      "alias": "college_biology",
+      "acc,none": 0.7708333333333334,
+      "acc_stderr,none": 0.035146974678623884
+    },
+    "mmlu_clinical_knowledge": {
+      "alias": "clinical_knowledge",
+      "acc,none": 0.7584905660377359,
+      "acc_stderr,none": 0.026341480371118362
+    },
+    "mmlu_anatomy": {
+      "alias": "anatomy",
+      "acc,none": 0.6592592592592592,
+      "acc_stderr,none": 0.04094376269996793
+    },
+    "medqa_4options": {
+      "acc,none": 0.6205813040062844,
+      "acc_stderr,none": 0.01360552020795404,
+      "acc_norm,none": 0.6205813040062844,
+      "acc_norm_stderr,none": 0.01360552020795404,
+      "alias": "medqa_4options"
+    },
+    "medmcqa": {
+      "acc,none": 0.6074587616543151,
+      "acc_stderr,none": 0.007551079281314663,
+      "acc_norm,none": 0.6074587616543151,
+      "acc_norm_stderr,none": 0.007551079281314663,
+      "alias": "medmcqa"
+    }
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=ChenWeiLi/Med-ChimeraLlama-3_1k_10_epoch,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_10_epoch"
+  }
+}