Finished
VshcheIgelcorrection3-tuned-adiff60.0+0.60LLR: 2.95 (-2.94, 2.94) [0.00, 2.00]
Games: 9636 W: 2442 L: 2174 D: 5020
Ptnml(0-2): 5, 1025, 2497, 1279, 12
3.7.6: tuned correction history (LTC)
VshcheIgelcorrection3-tuned-adiff10.0+0.10LLR: 2.97 (-2.94, 2.94) [0.00, 2.00]
Games: 11138 W: 2962 L: 2670 D: 5506
Ptnml(0-2): 40, 1241, 2751, 1461, 76
3.7.6: tuned correction history (STC)
VshcheIgel6b953e78.standarddiff90.0+0.90LLR: 2.97 (-2.94, 2.94) [0.00, 2.00]
Games: 4692 W: 1278 L: 1011 D: 2403
Ptnml(0-2): 4, 442, 1188, 707, 5
new network - take #2 (VLTC)
RosentWinterqnet_402_d32 *diff40.0+0.40Elo: 71.79 +- 6.17 (95%) [N=4000]
Games: 4000 W: 1273 L: 458 D: 2269
Ptnml(0-2): 12, 185, 915, 752, 136
Regression test vs v5.0
VshcheIgel6b953e78.standarddiff60.0+0.60LLR: 2.95 (-2.94, 2.94) [0.00, 2.00]
Games: 4840 W: 1283 L: 1015 D: 2542
Ptnml(0-2): 14, 434, 1247, 720, 5
new network - take #2 (LTC)
VshcheIgel6b953e78.standarddiff10.0+0.10LLR: 2.97 (-2.94, 2.94) [0.00, 2.00]
Games: 7616 W: 2087 L: 1790 D: 3739
Ptnml(0-2): 63, 764, 1834, 1107, 40
new network - take #2 (STC)
RosentWinterqnet_402_d32 *diff40.0+0.40LLR: 2.95 (-2.94, 2.94) [0.00, 5.00]
Games: 4092 W: 872 L: 744 D: 2476
Ptnml(0-2): 39, 381, 1085, 495, 46
d32 net update.
VshcheIgelnn-epoch459diff10.0+0.10LLR: 2.96 (-2.94, 2.94) [0.00, 2.00]
Games: 18594 W: 4884 L: 4574 D: 9136
Ptnml(0-2): 133, 2101, 4487, 2475, 101
new network - take #1 (STC)
JhonnoBerserk[Stockfish] a8a4911bf7ff48b607994b3640faaee8fe406113diffN=5000 *Generated 16668808/16666667 Games
Elo: -20.28 +- 0.15 (95%) [N=16666667]
Games: 16668808 W: 6338235 L: 7309915 D: 3020658
JhonnoBerserk[Stockfish] devdiffN=5000 *Generated 16667560/16666667 Games
Elo: -20.25 +- 0.15 (95%) [N=16666667]
Games: 16667560 W: 6338789 L: 7309198 D: 3019573
VshcheIgelstatic_tt_evaldiff60.0+0.60LLR: 2.96 (-2.94, 2.94) [0.00, 2.00]
Games: 56366 W: 13159 L: 12823 D: 30384
Ptnml(0-2): 62, 6564, 14583, 6924, 50
3.7.4: store static evaluation in TT
JhonnoBerserk[Stockfish] devdiffN=5000 *Generated 16666676/16666667 Games
Elo: -20.25 +- 0.15 (95%) [N=16666667]
Games: 16666676 W: 6340677 L: 7310748 D: 3015251
RosentWinterqnet_382_d32 *diff8.0+0.08LLR: 2.97 (-2.94, 2.94) [0.00, 5.00]
Games: 17098 W: 4326 L: 4111 D: 8661
Ptnml(0-2): 375, 2021, 3560, 2200, 393
Even larger quantized net. Might not yet be sufficiently mature.
RosentWinterqnet_382_d24 *diff40.0+0.40LLR: 2.95 (-2.94, 2.94) [0.00, 5.00]
Games: 3404 W: 749 L: 622 D: 2033
Ptnml(0-2): 28, 331, 873, 426, 44
Now that net is quantized, we try the larger size again.
RosentWinterqnet_382_d24 *diff8.0+0.08LLR: 2.96 (-2.94, 2.94) [0.00, 5.00]
Games: 12870 W: 3262 L: 3070 D: 6538
Ptnml(0-2): 265, 1499, 2728, 1665, 278
Now that net is quantized, we try the larger size again.
RosentWinterquantize_net *diff40.0+0.40LLR: 2.96 (-2.94, 2.94) [0.00, 5.00]
Games: 1382 W: 324 L: 201 D: 857
Ptnml(0-2): 7, 121, 325, 218, 20
Quantized network. Should be faster, at the cost of a little accuracy.
RosentWinterquantize_net *diff8.0+0.08LLR: 2.97 (-2.94, 2.94) [0.00, 5.00]
Games: 1012 W: 301 L: 160 D: 551
Ptnml(0-2): 10, 80, 211, 169, 36
Quantized network. Should be faster, at the cost of a little accuracy.
VshcheIgelstatic_tt_evaldiff5.0+0.05LLR: 2.96 (-2.94, 2.94) [0.00, 2.00]
Games: 4524 W: 1273 L: 997 D: 2254
Ptnml(0-2): 12, 424, 1116, 696, 14
3.7.4: store static evaluation in TT
VshcheIgelstatic_tt_evaldiff10.0+0.10LLR: 2.95 (-2.94, 2.94) [0.00, 2.00]
Games: 12652 W: 3161 L: 2871 D: 6620
Ptnml(0-2): 55, 1396, 3129, 1696, 50
3.7.4: store static evaluation in TT
JhonnoBerserk[Stockfish] devdiffN=7500 *Generated 10000996/10000000 Games
Elo: -9.47 +- 0.19 (95%) [N=10000000]
Games: 10000996 W: 3924158 L: 4196621 D: 1880217
VshcheIgeldraw_take2diff10.0+0.10LLR: 2.97 (-2.94, 2.94) [-3.00, 1.00]
Games: 28970 W: 6894 L: 6803 D: 15273
Ptnml(0-2): 109, 3421, 7361, 3458, 136
3.7.3: yet another draw detection fix
VshcheIgelep-take2diff10.0+0.10LLR: 2.99 (-2.94, 2.94) [-3.00, 1.00]
Games: 140020 W: 33463 L: 33537 D: 73020
Ptnml(0-2): 557, 16389, 36185, 16329, 550
3.7.2: handle enpassants with tb
JhonnoBerserk[Stockfish] devdiffN=5000 *Generated 1590/1000 Games
Elo: -17.28 +- 15.57 (95%) [N=1000]
Games: 1590 W: 615 L: 694 D: 281
JhonnoBerserk[Stockfish] devdiffN=7500 *Generated 1214/1000 Games
Elo: -6.30 +- 17.74 (95%) [N=1000]
Games: 1214 W: 486 L: 508 D: 220
JhonnoBerserk[Stockfish] devdiffN=7500 *Generated 1148/1000 Games
Elo: -48.74 +- 18.54 (95%) [N=1000]
Games: 1148 W: 392 L: 552 D: 204