Datasets:

License:
aaditya commited on
Commit
42d7d71
1 Parent(s): be984e4

Upload avkay/Llama3_finetune_med/results_2024-05-02 16:24:29.000092.json with huggingface_hub

Browse files
avkay/Llama3_finetune_med/results_2024-05-02 16:24:29.000092.json ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "results": {
3
+ "pubmedqa": {
4
+ "acc,none": 0.794,
5
+ "acc_stderr,none": 0.018104794037333578,
6
+ "alias": "pubmedqa"
7
+ },
8
+ "mmlu_professional_medicine": {
9
+ "alias": "professional_medicine",
10
+ "acc,none": 0.7757352941176471,
11
+ "acc_stderr,none": 0.025336848563332355
12
+ },
13
+ "mmlu_medical_genetics": {
14
+ "alias": "medical_genetics",
15
+ "acc,none": 0.86,
16
+ "acc_stderr,none": 0.03487350880197769
17
+ },
18
+ "mmlu_college_medicine": {
19
+ "alias": "college_medicine",
20
+ "acc,none": 0.7572254335260116,
21
+ "acc_stderr,none": 0.0326926380614177
22
+ },
23
+ "mmlu_college_biology": {
24
+ "alias": "college_biology",
25
+ "acc,none": 0.8611111111111112,
26
+ "acc_stderr,none": 0.028919802956134902
27
+ },
28
+ "mmlu_clinical_knowledge": {
29
+ "alias": "clinical_knowledge",
30
+ "acc,none": 0.8566037735849057,
31
+ "acc_stderr,none": 0.021570334976624955
32
+ },
33
+ "mmlu_anatomy": {
34
+ "alias": "anatomy",
35
+ "acc,none": 0.7555555555555555,
36
+ "acc_stderr,none": 0.037125378336148665
37
+ },
38
+ "medqa_4options": {
39
+ "acc,none": 0.6488609583660644,
40
+ "acc_stderr,none": 0.013383565413283813,
41
+ "acc_norm,none": 0.6488609583660644,
42
+ "acc_norm_stderr,none": 0.013383565413283813,
43
+ "alias": "medqa_4options"
44
+ },
45
+ "medmcqa": {
46
+ "acc,none": 0.6846760698063591,
47
+ "acc_stderr,none": 0.00718503727884796,
48
+ "acc_norm,none": 0.6846760698063591,
49
+ "acc_norm_stderr,none": 0.00718503727884796,
50
+ "alias": "medmcqa"
51
+ }
52
+ },
53
+ "config": {
54
+ "model": "hf",
55
+ "model_args": "pretrained=avkay/Llama3_finetune_med,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": "avkay/Llama3_finetune_med",
67
+ "model_sha": "main"
68
+ }
69
+ }