Upload pszemraj/mega-ar-350m-v0.13/results_2024-05-16 01:52:48.432617.json with huggingface_hub

pszemraj/mega-ar-350m-v0.13/results_2024-05-16 01:52:48.432617.json

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+{
+  "results": {
+    "pubmedqa": {
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+      "acc_stderr,none": 0.02228814759117695,
+      "alias": "pubmedqa"
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+    "mmlu_professional_medicine": {
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+      "acc,none": 0.1875,
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+    "mmlu_medical_genetics": {
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+      "acc_stderr,none": 0.045604802157206845
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+    "mmlu_college_medicine": {
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+      "acc_stderr,none": 0.03126511206173043
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+    "mmlu_college_biology": {
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+      "acc_stderr,none": 0.03653946969442099
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+    "mmlu_clinical_knowledge": {
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+      "acc_stderr,none": 0.025125766484827856
+    },
+    "mmlu_anatomy": {
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+      "acc_stderr,none": 0.03406542058502652
+    },
+    "medqa_4options": {
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+      "acc_norm,none": 0.2820109976433621,
+      "acc_norm_stderr,none": 0.0126167751355252,
+      "alias": "medqa_4options"
+    },
+    "medmcqa": {
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+      "acc_norm,none": 0.3167583074348554,
+      "acc_norm_stderr,none": 0.007193813467230655,
+      "alias": "medmcqa"
+    }
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=pszemraj/mega-ar-350m-v0.13,revision=main,dtype=float32",
+    "model_num_parameters": 349546752,
+    "model_dtype": "float32",
+    "model_revision": "main",
+    "model_sha": "main",
+    "batch_size": "auto",
+    "batch_sizes": [
+      16
+    ],
+    "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": "pszemraj/mega-ar-350m-v0.13"
+  }
+}