OpenBench

OpenBench Testing Framework

Author	Menkib
Creation	1778248472
Source	https://github.com/Menkib64/lc0
Sha	78c0de234a5af1bb8c99f3ff54109a31f6e806a1
Branch	uncertainty_weighting_logistic
Bench	1
Network	tf13-375
Options	Threads=2 Hash=1
Time	20.0+0.20
Opening Book	UHO_Lichess_4852_v1.epd
Upload PGNs	FALSE
Syzygy WDL	DISABLED
Syzygy ADJ.	OPTIONAL
Win ADJ.	movecount=3 score=400
Draw ADJ.	movenumber=40 movecount=8 score=10
Scaling	DEV 7000 NPS
Alpha	0.69
Gamma	0.19
A-Ratio	0.1
Reporting	BATCHED
Distribution	SINGLE
Pairs Per Point	16

uncertainty_weighting_lo... vs uncertainty_weighting_lo...

Approve Restart Delete

UncertaintyWeightingMidPoint, float, 0.04, 0.0, 1.0, 0.02, 0.02
UncertaintyWeightingMinusExponent, float, 80.0, 0.0, 100000.0, 0.2, 0.2
UncertaintyWeightingScale, float, 0.41, 0.0, 10.0, 0.02, 0.02
UncertaintyWeightingBase, float, 0.67, 0.0, 10.0, 0.02, 0.02
UncertaintyWeightingSkewRoot, float, 8.0, 0.01, 10000.0, 0.5, 0.5

Copy SPSA Inputs

UncertaintyWeightingMidPoint, 0.5219871490126647
UncertaintyWeightingMinusExponent, 81.22044218234615
UncertaintyWeightingScale, 0.43132057336858126
UncertaintyWeightingBase, 0.6186041405373869
UncertaintyWeightingSkewRoot, 87.31265132263039

Copy SPSA Outputs

Tuning 5 Parameters
218/25000 Iterations
7006/800000 Games Played

Name	Curr	Start	Min	Max	C	C_end	R	R_end
UncertaintyWeightingMidPoint	0.5220	0.0400	0.0000	1.0000	0.0492	0.0200	0.0163	0.0200
UncertaintyWeightingMinusExponent	81.2204	80.0000	0.0000	100000.0000	0.4916	0.2000	0.1634	0.2000
UncertaintyWeightingScale	0.4313	0.4100	0.0000	10.0000	0.0492	0.0200	0.0163	0.0200
UncertaintyWeightingBase	0.6186	0.6700	0.0000	10.0000	0.0492	0.0200	0.0163	0.0200
UncertaintyWeightingSkewRoot	87.3127	8.0000	0.0100	10000.0000	1.2290	0.5000	0.4084	0.5000

#	User	Updated	Games	Won	Lost	Drawn
1268	Kovax	1778255764	154	31	62	61
1262	Kovax	1778255778	148	26	59	63
1261	Kovax	1778255721	152	63	32	57
236	Ploot	1778255767	134	24	64	46
1280	Kovax	1778255762	158	36	64	58
1266	Kovax	1778255751	154	28	59	67
1257	Kovax	1778255732	148	58	27	63
413	Kovax	1778255671	160	53	56	51
1273	Kovax	1778255732	150	27	61	62
1277	Kovax	1778255779	154	30	64	60
237	Ploot	1778255761	138	30	60	48
1270	Kovax	1778255765	150	63	21	66
416	Kovax	1778255682	124	50	18	56
414	Kovax	1778255774	132	30	57	45
1260	Kovax	1778255759	158	26	65	67
1307	Kovax	1778255724	146	23	57	66
1259	Kovax	1778255764	152	23	64	65
415	Kovax	1778255720	130	55	24	51
1283	Kovax	1778255711	146	56	30	60
1272	Kovax	1778255773	146	27	62	57
1281	Kovax	1778255783	152	63	24	65
1274	Kovax	1778255662	146	58	31	57
1265	Kovax	1778255754	154	64	31	59
1252	Kovax	1778255712	150	61	29	60
1279	Kovax	1778255787	154	65	31	58
1258	Kovax	1778255719	156	33	64	59
1278	Kovax	1778255782	156	39	66	51
1276	Kovax	1778255761	150	32	61	57
1306	Kovax	1778255783	148	59	25	64
1269	Kovax	1778255816	146	60	22	64
1267	Kovax	1778255699	154	33	61	60
1271	Kovax	1778255799	152	57	32	63
1255	Kovax	1778255772	160	33	64	63
1275	Kovax	1778255780	154	64	31	59
1263	Kovax	1778255793	154	65	26	63
239	Ploot	1778255731	132	54	23	55
1312	Kovax	1778255730	150	60	24	66
1311	Kovax	1778255766	154	58	33	63
1310	Kovax	1778255743	154	38	71	45
1264	Kovax	1778255701	144	25	60	59
1308	Kovax	1778255695	154	60	40	54
238	Ploot	1778255765	130	20	49	61
1256	Kovax	1778255797	154	62	28	64
1253	Kovax	1778255785	156	60	29	67
1309	Kovax	1778255746	154	57	30	67
1313	Kovax	1778255715	150	18	62	70
1282	Kovax	1778255743	154	61	36	57