Datasets:

License:
aaditya commited on
Commit
0aa2b84
1 Parent(s): 5271cb9

Upload meta-llama/Meta-Llama-3-8B/results_2024-04-20 20:44:02.811970.json with huggingface_hub

Browse files
meta-llama/Meta-Llama-3-8B/results_2024-04-20 20:44:02.811970.json ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "results": {
3
+ "pubmedqa": {
4
+ "acc,none": 0.752,
5
+ "acc_stderr,none": 0.019332342821239114,
6
+ "alias": "pubmedqa"
7
+ },
8
+ "mmlu_professional_medicine": {
9
+ "alias": "professional_medicine",
10
+ "acc,none": 0.7022058823529411,
11
+ "acc_stderr,none": 0.027778298701545447
12
+ },
13
+ "mmlu_medical_genetics": {
14
+ "alias": "medical_genetics",
15
+ "acc,none": 0.83,
16
+ "acc_stderr,none": 0.0377525168068637
17
+ },
18
+ "mmlu_college_medicine": {
19
+ "alias": "college_medicine",
20
+ "acc,none": 0.6011560693641619,
21
+ "acc_stderr,none": 0.037336266553835096
22
+ },
23
+ "mmlu_college_biology": {
24
+ "alias": "college_biology",
25
+ "acc,none": 0.7847222222222222,
26
+ "acc_stderr,none": 0.03437079344106133
27
+ },
28
+ "mmlu_clinical_knowledge": {
29
+ "alias": "clinical_knowledge",
30
+ "acc,none": 0.7471698113207547,
31
+ "acc_stderr,none": 0.026749899771241214
32
+ },
33
+ "mmlu_anatomy": {
34
+ "alias": "anatomy",
35
+ "acc,none": 0.6888888888888889,
36
+ "acc_stderr,none": 0.03999262876617723
37
+ },
38
+ "medqa_4options": {
39
+ "acc,none": 0.6001571091908877,
40
+ "acc_stderr,none": 0.013735156467071652,
41
+ "acc_norm,none": 0.6001571091908877,
42
+ "acc_norm_stderr,none": 0.013735156467071652,
43
+ "alias": "medqa_4options"
44
+ },
45
+ "medmcqa": {
46
+ "acc,none": 0.5768587138417404,
47
+ "acc_stderr,none": 0.007639860265400342,
48
+ "acc_norm,none": 0.5768587138417404,
49
+ "acc_norm_stderr,none": 0.007639860265400342,
50
+ "alias": "medmcqa"
51
+ }
52
+ },
53
+ "config": {
54
+ "model": "hf",
55
+ "model_args": "pretrained=meta-llama/Meta-Llama-3-8B,revision=main,dtype=bfloat16",
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": "bfloat16",
66
+ "model_name": "meta-llama/Meta-Llama-3-8B",
67
+ "model_sha": "main"
68
+ }
69
+ }