Upload google/recurrentgemma-2b/results_2024-05-18 17:05:45.036169.json with huggingface_hub

google/recurrentgemma-2b/results_2024-05-18 17:05:45.036169.json

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+{
+  "results": {
+    "pubmedqa": {
+      "acc,none": 0.646,
+      "acc_stderr,none": 0.02140758204791648,
+      "alias": "pubmedqa"
+    },
+    "mmlu_professional_medicine": {
+      "alias": "professional_medicine",
+      "acc,none": 0.2977941176470588,
+      "acc_stderr,none": 0.027778298701545443
+    },
+    "mmlu_medical_genetics": {
+      "alias": "medical_genetics",
+      "acc,none": 0.36,
+      "acc_stderr,none": 0.04824181513244218
+    },
+    "mmlu_college_medicine": {
+      "alias": "college_medicine",
+      "acc,none": 0.26011560693641617,
+      "acc_stderr,none": 0.033450369167889904
+    },
+    "mmlu_college_biology": {
+      "alias": "college_biology",
+      "acc,none": 0.2847222222222222,
+      "acc_stderr,none": 0.03773809990686935
+    },
+    "mmlu_clinical_knowledge": {
+      "alias": "clinical_knowledge",
+      "acc,none": 0.2943396226415094,
+      "acc_stderr,none": 0.028049186315695248
+    },
+    "mmlu_anatomy": {
+      "alias": "anatomy",
+      "acc,none": 0.2814814814814815,
+      "acc_stderr,none": 0.03885004245800253
+    },
+    "medqa_4options": {
+      "acc,none": 0.25765907305577374,
+      "acc_stderr,none": 0.01226255213440124,
+      "acc_norm,none": 0.25765907305577374,
+      "acc_norm_stderr,none": 0.01226255213440124,
+      "alias": "medqa_4options"
+    },
+    "medmcqa": {
+      "acc,none": 0.28209419077217307,
+      "acc_stderr,none": 0.00695887108157496,
+      "acc_norm,none": 0.28209419077217307,
+      "acc_norm_stderr,none": 0.00695887108157496,
+      "alias": "medmcqa"
+    }
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=google/recurrentgemma-2b,revision=main,dtype=float32",
+    "model_num_parameters": 2682862080,
+    "model_dtype": "float32",
+    "model_revision": "main",
+    "model_sha": "main",
+    "batch_size": "auto",
+    "batch_sizes": [
+      4
+    ],
+    "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": "google/recurrentgemma-2b"
+  }
+}