Finished
StyxdoRecklessstyx_gut_feel_experimentdiffN=25000
LLR: 3.19 (-2.25, 2.89) [0.00, 4.00]
Games: 4900 W: 1713 L: 1495 D: 1692
Ptnml(0-2): 140, 511, 1006, 577, 216
Various changes, most notably, increased WDL in both S1 and S2, more epochs, slightly altered LR bounds.
StyxdoRecklessv18-bf93ebe8diffN=25000
LLR: 2.94 (-2.25, 2.89) [0.00, 4.00]
Games: 54310 W: 18004 L: 17601 D: 18705
Ptnml(0-2): 1849, 5981, 11178, 6212, 1935
Same training parameters except filtering logic to match distribution
StyxdoRecklessl1_768_testdiff8.0+0.08
LLR: 2.91 (-2.25, 2.89) [0.00, 4.00]
Games: 8118 W: 2115 L: 1954 D: 4049
Ptnml(0-2): 38, 931, 1971, 1070, 49
STC test for L1=768 (128 more neurons)
StyxdoRecklessl1_768_testdiffN=25000
LLR: 2.98 (-2.25, 2.89) [0.00, 4.00]
Games: 5506 W: 1930 L: 1720 D: 1856
Ptnml(0-2): 170, 580, 1117, 642, 244
L1=768 identical training parameters
StyxdoRecklessmultifile_loader_w_1536_datadiffN=25000
Elo: -1.70 +- 2.40 (95%) [N=40000]
Games: 40318 W: 13201 L: 13398 D: 13719
Ptnml(0-2): 1433, 4515, 8446, 4346, 1419
Essentially same training as before, test of multifile loader, side effects was a lower Loss, so testing.
StyxdoRecklessl1_640_new_1536_data_wdl_adj1diffN=25000
Elo: -16.43 +- 2.62 (95%) [N=40000]
Games: 35490 W: 11061 L: 12738 D: 11691
Ptnml(0-2): 1620, 4239, 7203, 3564, 1119
Same training parameters as v16, only difference is WDL in S2 is 0.5, and the data used is from 1536 net.
StyxdoRecklessstyx_v5diff8.0+0.08
Elo: -7.43 +- 3.00 (95%) [N=20000]
Games: 15718 W: 3843 L: 4179 D: 7696
Ptnml(0-2): 150, 2022, 3792, 1804, 91
STC
StyxdoRecklessstyx_v5diffN=25000
Elo: -10.90 +- 2.42 (95%) [N=40000]
Games: 40412 W: 12880 L: 14147 D: 13385
Ptnml(0-2): 1681, 4655, 8407, 4176, 1287
Retrain with correct params
StyxdoRecklesspure_1536_3650m_l1_640diff8.0+0.08
LLR: -1.18 (-2.25, 2.89) [0.00, 4.00]
Games: 5744 W: 1442 L: 1480 D: 2822
Ptnml(0-2): 45, 700, 1414, 674, 39
STC
StyxdoRecklesspure_1536_3650m_l1_640diffN=25000
LLR: -2.91 (-2.25, 2.89) [0.00, 4.00]
Games: 12102 W: 4028 L: 4159 D: 3915
Ptnml(0-2): 472, 1336, 2506, 1325, 412
Fixed Node test
StyxdoRecklessv16-4dd4d325diff40.0+0.40
LLR: 2.96 (-2.25, 2.89) [0.00, 4.00]
Games: 10296 W: 2500 L: 2342 D: 5454
Ptnml(0-2): 12, 1160, 2646, 1318, 12
STC passed, LTC
StyxdoRecklessv16-4dd4d325diff8.0+0.08
LLR: 2.94 (-2.25, 2.89) [0.00, 4.00]
Games: 6938 W: 1776 L: 1618 D: 3544
Ptnml(0-2): 34, 769, 1714, 909, 43
3695M, Higher training time
StyxdoRecklessv16-4dd4d325diffN=25000
LLR: 3.07 (-2.25, 2.89) [0.00, 4.00]
Games: 5504 W: 1907 L: 1696 D: 1901
Ptnml(0-2): 170, 542, 1161, 665, 214
Same data as last run, higher training time.
StyxdoRecklessv14-46e0bb9adiff40.0+0.40
LLR: 1.11 (-2.25, 2.89) [0.00, 4.00]
Games: 45250 W: 10805 L: 10626 D: 23819
Ptnml(0-2): 70, 5317, 11668, 5504, 66
STC Passed at : https://rickdiculous.pythonanywhere.com/test/3940/ Testing LTC
StyxdoRecklessmaindiff8.0+0.08
LLR: 2.92 (-2.25, 2.89) [0.00, 4.00]
Games: 14308 W: 3451 L: 3283 D: 7574
Ptnml(0-2): 54, 1484, 3911, 1650, 55
Summary: S1=50 (halved), batch_per_batchsize=12208 (doubled) S2=200 (doubled), batch_per_batchsize=2500(halved)
StyxdoRecklessnmp_verification_searchdiff8.0+0.08
LLR: 3.24 (-2.25, 2.89) [-5.00, 0.00]
Games: 10258 W: 2467 L: 2387 D: 5404
Ptnml(0-2): 41, 1230, 2510, 1304, 44
Verification Search in nmp
StyxdoRecklessimrovement_in_razoringdiff8.0+0.08
LLR: -2.35 (-2.25, 2.89) [0.00, 4.00]
Games: 10070 W: 2378 L: 2455 D: 5237
Ptnml(0-2): 41, 1260, 2519, 1165, 50
Change scale of improvement val
StyxdoRecklessimrovement_in_razoringdiff8.0+0.08
LLR: -2.43 (-2.25, 2.89) [0.00, 4.00]
Games: 55200 W: 13208 L: 13152 D: 28840
Ptnml(0-2): 250, 6646, 13743, 6720, 241
Draft 1 of using World's idea of improvement in Razoring
StyxdoRecklesstried_to_cutdiff8.0+0.08
LLR: -2.26 (-2.25, 2.89) [0.00, 4.00]
Games: 32168 W: 7574 L: 7580 D: 17014
Ptnml(0-2): 144, 3883, 8043, 3863, 151
tried to cut, but even less reduction on probcut
StyxdoRecklesstried_cut_and_nulldiff8.0+0.08
LLR: -2.02 (-2.25, 2.89) [0.00, 4.00]
Games: 4988 W: 1145 L: 1222 D: 2621
Ptnml(0-2): 25, 628, 1262, 557, 22
Combines the condition for both npm and probcut, increases the chances of a hit
StyxdoRecklesstried_to_cut_nulldiff8.0+0.08
LLR: -1.56 (-2.25, 2.89) [0.00, 4.00]
Games: 12154 W: 2797 L: 2831 D: 6526
Ptnml(0-2): 49, 1475, 3063, 1441, 49
(Fixed)
StyxdoRecklesstried_to_cut_morediff8.0+0.08
LLR: -2.51 (-2.25, 2.89) [0.00, 4.00]
Games: 19332 W: 4508 L: 4564 D: 10260
Ptnml(0-2): 82, 2374, 4814, 2310, 86
Slightly changing the value, aligning with how we treat PV
StyxdoRecklesstried_to_cutdiff8.0+0.08
LLR: -2.33 (-2.25, 2.89) [0.00, 4.00]
Games: 46046 W: 10786 L: 10753 D: 24507
Ptnml(0-2): 205, 5588, 11423, 5583, 224
Essentially the same thing as the other test (that one is nmp only), this is probcut only