Datasets:

License:
aaditya commited on
Commit
4679e09
1 Parent(s): dd98825

Upload gradientai/Llama-3-8B-Instruct-262k/results_2024-04-30 22:31:24.402358.json with huggingface_hub

Browse files
gradientai/Llama-3-8B-Instruct-262k/results_2024-04-30 22:31:24.402358.json ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "results": {
3
+ "pubmedqa": {
4
+ "acc,none": 0.728,
5
+ "acc_stderr,none": 0.01992048320956609,
6
+ "alias": "pubmedqa"
7
+ },
8
+ "mmlu_professional_medicine": {
9
+ "alias": "professional_medicine",
10
+ "acc,none": 0.7022058823529411,
11
+ "acc_stderr,none": 0.027778298701545443
12
+ },
13
+ "mmlu_medical_genetics": {
14
+ "alias": "medical_genetics",
15
+ "acc,none": 0.81,
16
+ "acc_stderr,none": 0.039427724440366234
17
+ },
18
+ "mmlu_college_medicine": {
19
+ "alias": "college_medicine",
20
+ "acc,none": 0.6127167630057804,
21
+ "acc_stderr,none": 0.037143259063020656
22
+ },
23
+ "mmlu_college_biology": {
24
+ "alias": "college_biology",
25
+ "acc,none": 0.75,
26
+ "acc_stderr,none": 0.03621034121889507
27
+ },
28
+ "mmlu_clinical_knowledge": {
29
+ "alias": "clinical_knowledge",
30
+ "acc,none": 0.7056603773584905,
31
+ "acc_stderr,none": 0.028049186315695245
32
+ },
33
+ "mmlu_anatomy": {
34
+ "alias": "anatomy",
35
+ "acc,none": 0.6370370370370371,
36
+ "acc_stderr,none": 0.04153948404742398
37
+ },
38
+ "medqa_4options": {
39
+ "acc,none": 0.5710919088766693,
40
+ "acc_stderr,none": 0.013876871523513032,
41
+ "acc_norm,none": 0.5710919088766693,
42
+ "acc_norm_stderr,none": 0.013876871523513032,
43
+ "alias": "medqa_4options"
44
+ },
45
+ "medmcqa": {
46
+ "acc,none": 0.5739899593593115,
47
+ "acc_stderr,none": 0.007646629554719612,
48
+ "acc_norm,none": 0.5739899593593115,
49
+ "acc_norm_stderr,none": 0.007646629554719612,
50
+ "alias": "medmcqa"
51
+ }
52
+ },
53
+ "config": {
54
+ "model": "hf",
55
+ "model_args": "pretrained=gradientai/Llama-3-8B-Instruct-262k,revision=main,dtype=float16",
56
+ "batch_size": "auto",
57
+ "batch_sizes": [
58
+ 8
59
+ ],
60
+ "device": "cuda:0",
61
+ "use_cache": null,
62
+ "limit": null,
63
+ "bootstrap_iters": 100000,
64
+ "gen_kwargs": null,
65
+ "model_dtype": "float16",
66
+ "model_name": "gradientai/Llama-3-8B-Instruct-262k",
67
+ "model_sha": "main"
68
+ }
69
+ }