Upload Jayant9928/tnayaj/results_2024-04-26 09:39:46.589071.json with huggingface_hub
Browse files
Jayant9928/tnayaj/results_2024-04-26 09:39:46.589071.json
ADDED
|
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"pubmedqa": {
|
| 4 |
+
"acc,none": 0.716,
|
| 5 |
+
"acc_stderr,none": 0.020186703693570833,
|
| 6 |
+
"alias": "pubmedqa"
|
| 7 |
+
},
|
| 8 |
+
"mmlu_professional_medicine": {
|
| 9 |
+
"alias": "professional_medicine",
|
| 10 |
+
"acc,none": 0.6691176470588235,
|
| 11 |
+
"acc_stderr,none": 0.028582709753898435
|
| 12 |
+
},
|
| 13 |
+
"mmlu_medical_genetics": {
|
| 14 |
+
"alias": "medical_genetics",
|
| 15 |
+
"acc,none": 0.75,
|
| 16 |
+
"acc_stderr,none": 0.04351941398892446
|
| 17 |
+
},
|
| 18 |
+
"mmlu_college_medicine": {
|
| 19 |
+
"alias": "college_medicine",
|
| 20 |
+
"acc,none": 0.630057803468208,
|
| 21 |
+
"acc_stderr,none": 0.036812296333943194
|
| 22 |
+
},
|
| 23 |
+
"mmlu_college_biology": {
|
| 24 |
+
"alias": "college_biology",
|
| 25 |
+
"acc,none": 0.7152777777777778,
|
| 26 |
+
"acc_stderr,none": 0.037738099906869355
|
| 27 |
+
},
|
| 28 |
+
"mmlu_clinical_knowledge": {
|
| 29 |
+
"alias": "clinical_knowledge",
|
| 30 |
+
"acc,none": 0.690566037735849,
|
| 31 |
+
"acc_stderr,none": 0.02845015479411863
|
| 32 |
+
},
|
| 33 |
+
"mmlu_anatomy": {
|
| 34 |
+
"alias": "anatomy",
|
| 35 |
+
"acc,none": 0.6,
|
| 36 |
+
"acc_stderr,none": 0.04232073695151589
|
| 37 |
+
},
|
| 38 |
+
"medqa_4options": {
|
| 39 |
+
"acc,none": 0.5671641791044776,
|
| 40 |
+
"acc_stderr,none": 0.013892245162841129,
|
| 41 |
+
"acc_norm,none": 0.5671641791044776,
|
| 42 |
+
"acc_norm_stderr,none": 0.013892245162841129,
|
| 43 |
+
"alias": "medqa_4options"
|
| 44 |
+
},
|
| 45 |
+
"medmcqa": {
|
| 46 |
+
"acc,none": 0.521157064307913,
|
| 47 |
+
"acc_stderr,none": 0.007724828433412047,
|
| 48 |
+
"acc_norm,none": 0.521157064307913,
|
| 49 |
+
"acc_norm_stderr,none": 0.007724828433412047,
|
| 50 |
+
"alias": "medmcqa"
|
| 51 |
+
}
|
| 52 |
+
},
|
| 53 |
+
"config": {
|
| 54 |
+
"model": "hf",
|
| 55 |
+
"model_args": "pretrained=Jayant9928/tnayaj,revision=main,dtype=float32",
|
| 56 |
+
"batch_size": "auto",
|
| 57 |
+
"batch_sizes": [
|
| 58 |
+
4
|
| 59 |
+
],
|
| 60 |
+
"device": "cuda:0",
|
| 61 |
+
"use_cache": null,
|
| 62 |
+
"limit": null,
|
| 63 |
+
"bootstrap_iters": 100000,
|
| 64 |
+
"gen_kwargs": null,
|
| 65 |
+
"model_dtype": "float32",
|
| 66 |
+
"model_name": "Jayant9928/tnayaj",
|
| 67 |
+
"model_sha": "main"
|
| 68 |
+
}
|
| 69 |
+
}
|