Upload probemedicalandyonseimailab/medllama3-v4/results_2024-05-07 11:47:29.418746.json with huggingface_hub

probemedicalandyonseimailab/medllama3-v4/results_2024-05-07 11:47:29.418746.json

@@ -0,0 +1,75 @@
+{
+  "results": {
+    "pubmedqa": {
+      "acc,none": 0.71,
+      "acc_stderr,none": 0.020313179231745103,
+      "alias": "pubmedqa"
+    },
+    "mmlu_professional_medicine": {
+      "alias": "professional_medicine",
+      "acc,none": 0.7352941176470589,
+      "acc_stderr,none": 0.026799562024887674
+    },
+    "mmlu_medical_genetics": {
+      "alias": "medical_genetics",
+      "acc,none": 0.81,
+      "acc_stderr,none": 0.039427724440366234
+    },
+    "mmlu_college_medicine": {
+      "alias": "college_medicine",
+      "acc,none": 0.6647398843930635,
+      "acc_stderr,none": 0.03599586301247078
+    },
+    "mmlu_college_biology": {
+      "alias": "college_biology",
+      "acc,none": 0.7708333333333334,
+      "acc_stderr,none": 0.03514697467862388
+    },
+    "mmlu_clinical_knowledge": {
+      "alias": "clinical_knowledge",
+      "acc,none": 0.7584905660377359,
+      "acc_stderr,none": 0.02634148037111836
+    },
+    "mmlu_anatomy": {
+      "alias": "anatomy",
+      "acc,none": 0.6962962962962963,
+      "acc_stderr,none": 0.039725528847851375
+    },
+    "medqa_4options": {
+      "acc,none": 0.6190102120974077,
+      "acc_stderr,none": 0.013616391153013498,
+      "acc_norm,none": 0.6190102120974077,
+      "acc_norm_stderr,none": 0.013616391153013498,
+      "alias": "medqa_4options"
+    },
+    "medmcqa": {
+      "acc,none": 0.5747071479799187,
+      "acc_stderr,none": 0.007644961926657562,
+      "acc_norm,none": 0.5747071479799187,
+      "acc_norm_stderr,none": 0.007644961926657562,
+      "alias": "medmcqa"
+    }
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=probemedicalandyonseimailab/medllama3-v4,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-v4"
+  }
+}