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clean repo: glm45_air_190m|charter (45/45)

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+ "scored_at": "2026-09-03T15:21:32Z",
243
+ "seed_caveat": "one seed per cell; run-to-run SD ~9pp on the primary metric"
244
+ }
scores/glm45_air_190m/charter/eval.json ADDED
The diff for this file is too large to render. See raw diff
 
scores/glm45_air_190m/charter/recall.json ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arm": "charter",
3
+ "battery": "recall",
4
+ "hub_repo": "arcadia-impact/scimt-dispatch-final-v1",
5
+ "meta": {
6
+ "degenerate_note": "logprob_degenerate marks a scorer that chose one letter for every item. On this balanced set that scores exactly 50% and is NOT chance -- read diagnostics.logprob_chose.",
7
+ "diagnostics": {
8
+ "aft_512": {
9
+ "gen_chose": {
10
+ "A": 43,
11
+ "B": 35
12
+ },
13
+ "is_base_model": false,
14
+ "logprob_chose": {
15
+ "A": 43,
16
+ "B": 35
17
+ },
18
+ "logprob_degenerate": false,
19
+ "real_endpoint_dir": "aft_512"
20
+ },
21
+ "midtrain_381": {
22
+ "gen_chose": {
23
+ "<none>": 78
24
+ },
25
+ "is_base_model": true,
26
+ "logprob_chose": {
27
+ "A": 36,
28
+ "B": 42
29
+ },
30
+ "logprob_degenerate": false,
31
+ "real_endpoint_dir": "midtrain_1351"
32
+ },
33
+ "pre_aft": {
34
+ "gen_chose": {
35
+ "A": 45,
36
+ "B": 33
37
+ },
38
+ "is_base_model": false,
39
+ "logprob_chose": {
40
+ "A": 45,
41
+ "B": 33
42
+ },
43
+ "logprob_degenerate": false,
44
+ "real_endpoint_dir": "pre_aft"
45
+ }
46
+ },
47
+ "midtrain_endpoint": "midtrain_1351",
48
+ "midtrain_rename_adapter": "staged midtrain_1351 as midtrain_381; the scorer hard-codes the 50M row's final midtrain step",
49
+ "scorer": "score_recall_v1.py (unmodified)"
50
+ },
51
+ "profile": "glm45_air_190m",
52
+ "result": {
53
+ "aft_512": {
54
+ "gen_correct": 66,
55
+ "gen_parsed": 78,
56
+ "gen_rate": 0.8461538461538461,
57
+ "is_base_model": false,
58
+ "logprob_correct": 66,
59
+ "logprob_degenerate": false,
60
+ "logprob_rate": 0.8461538461538461,
61
+ "n": 78
62
+ },
63
+ "midtrain_381": {
64
+ "gen_correct": 0,
65
+ "gen_parsed": 0,
66
+ "gen_rate": 0.0,
67
+ "is_base_model": true,
68
+ "logprob_correct": 71,
69
+ "logprob_degenerate": false,
70
+ "logprob_rate": 0.9102564102564102,
71
+ "n": 78
72
+ },
73
+ "pre_aft": {
74
+ "gen_correct": 72,
75
+ "gen_parsed": 78,
76
+ "gen_rate": 0.9230769230769231,
77
+ "is_base_model": false,
78
+ "logprob_correct": 72,
79
+ "logprob_degenerate": false,
80
+ "logprob_rate": 0.9230769230769231,
81
+ "n": 78
82
+ }
83
+ },
84
+ "scored_at": "2026-09-03T15:21:32Z",
85
+ "seed_caveat": "one seed per cell; run-to-run SD ~9pp on the primary metric"
86
+ }