diff options
| author | tslil <tslil@posteo.de> | 2026-09-10 14:12:41 +0100 |
|---|---|---|
| committer | tslil <tslil@posteo.de> | 2026-09-10 21:04:40 +0100 |
| commit | 220a4b79e4b6d742a9ca7c278a1962b870500fbc (patch) | |
| tree | ba527c7ec1feac91c5d59772c05fe9d32af6bdb8 /include/weights_5.c | |
| parent | 710d5a5225edb44d171ca9ac6345e9a61aa4f125 (diff) | |
credit Mitchell Riley: we can drop 65 parameters for about the same strength; also train for longer
The idea is that the current model is M_theta(board, ply) = "score for player 0", but we can instead create a different model M'_theta(board) = "score for player 0 assuming that it's player 0's move" and for a certain pair of functions sigma, normalise, recover M_theta(board, ply) = sigma(ply) M'_theta(normalise(board, ply)).
This pair of functions is sigma(ply) = +/- 1 (parity), and normalise being a conditional interchange of pieces on the board depending on the parity of the ply. The only things stopping this from being completely straightforward is that nn_train.py evaluates M'_theta itself so we need to pass sigma(ply) to the training loop.
6x6 is still untrained.
Diffstat (limited to 'include/weights_5.c')
| -rw-r--r-- | include/weights_5.c | 550 |
1 files changed, 275 insertions, 275 deletions
diff --git a/include/weights_5.c b/include/weights_5.c index 687e81e..528b4b2 100644 --- a/include/weights_5.c +++ b/include/weights_5.c @@ -1,294 +1,294 @@ /* generated by nn_train.py, do not edit by hand */ -/* v018, val_corr=0.9435, rate=0.7880 */ +/* v021, val_corr=0.9431, rate=0.8128 */ #include "weights_5.h" const float five_embedding[7] = { - 0.0271974243, -0.585511148, -0.195969999, -1.67773426, 0.654105425, 0.252295405, 0.991936803 + -0.111816011, -0.66451335, -0.323273391, -0.98435086, 0.463595748, 0.122227475, 1.10759342 }; const float five_dense_weights[FIVE_DENSE_NUM][FIVE_INP_NUM] NN_ALIGNED = { - {0.124223985, -0.0398298204, 0.442104936, -0.0755114704, 0.0112784756, -0.154642373, -0.095966056, 0.0479841046, - 0.122625157, -0.147026554, -0.0798666477, -0.231773823, 0.0526055656, -0.0517086647, 0.0182236452, 0.000143513549, - 0.057050854, 0.151226595, 0.0512125269, -0.263018429, 0.0338710696, -0.0653838739, -0.0450588651, 0.0342408828, - -0.129446298, -0.151560262, -0.114411578, -0.130198792}, - {0.183917969, 0.270581603, -0.286218137, 0.200253069, 0.138144121, 0.164384082, 0.0184991471, 0.0741592273, - -0.00477701332, 0.0852540582, 0.0204615425, -0.00764832133, 0.220107257, -0.102382302, 0.0841847062, -0.0282375943, - 0.0790290907, 0.0902308524, 0.0881390199, 0.0841720104, 0.167469054, 0.073158659, 0.0895482078, 0.0388522781, - 0.015290767, 0.185586229, -0.0323093198, 0.126043826}, - {-0.0903893262, -0.374020278, 0.233034179, -0.157876059, 0.0949935913, -0.224158883, -0.12354736, -0.0661603063, - -0.133901939, -0.140902162, -0.270809799, -0.147912577, -0.064557299, -0.221630201, -0.208277494, -0.280185074, - 0.125906304, -0.153770238, -0.0713656694, 0.0053616548, -0.0313395485, -0.170316398, -0.0605885126, -0.235900387, - -0.157116771, 0.00241961423, -0.0820510462, -0.081060186}, - {-0.14454715, -0.982014358, 0.235154107, -0.0797742009, 0.0215494037, -0.11536704, -0.129991964, -0.201552749, - -0.173719257, -0.0625208914, 0.0587469488, -0.286277175, -0.219805181, -0.0408651829, -0.159050345, 0.0828470215, - 0.00416021654, -0.0875479653, 0.0531577021, 0.0478147119, -0.224265546, -0.183513686, -0.192842126, 0.0580152087, - 0.0161686223, -0.203335121, -0.0414060727, -0.038819544}, - {0.0480308086, -0.212108284, 0.365251422, 0.0129341949, -0.125312969, -0.107484236, -0.00437643286, -0.132904723, - 0.0672981665, 0.0425384268, -0.0641572848, -0.221844912, -0.0285976157, -0.0383862779, -0.0324791931, 0.056241136, - -0.118307576, -0.0505812913, -0.272025377, -0.0530301444, -0.118473411, 0.0342970304, -0.00507636229, -0.105834618, - -0.0868522897, 0.0509563573, -0.136580959, 0.0439617038}, - {-0.109857008, -0.569389105, 0.365163207, -0.0437580124, -0.138673335, -0.0440861769, -0.0190834999, -0.167106792, - -0.191086158, -0.113774486, -0.19339712, -0.222587109, -0.144994572, -0.0544047803, 0.0116045177, -0.24889186, - -0.0318637826, -0.0763775632, -0.080920428, -0.289673775, -0.227832466, -0.0515492633, -0.088042587, -0.14912042, - -0.203516752, -0.211594328, -0.136905372, -0.205074474}, - {0.0444115736, -0.0910449699, 0.514601529, -0.0243934039, -0.139382422, 0.082255505, -0.197201833, -0.104645215, - 0.0156376027, 0.00461203977, -0.198983505, -0.152663365, -0.043717999, -0.0873160139, -0.110288493, -0.022582246, - 0.00954708364, -0.115393661, 0.0186134987, -0.100035235, -0.0963965803, -0.172805145, -0.00274219154, -0.0161741413, - -0.0776032358, -0.0917994678, -0.194066316, 0.103619404}, - {0.00649354188, 0.37663278, -0.386316955, 0.0834508762, 0.196375802, 0.0203620605, 0.0812203735, 0.0374289118, - 0.0512966402, 0.111390628, 0.100328431, 0.0812845081, 0.12390513, 0.13985087, 0.191595301, 0.253740668, - 0.0613994002, -0.0308810472, 0.0485394485, 0.176652342, 0.0745857954, 0.206164628, 0.0740946531, 0.11191041, - 0.207364276, -0.155406088, -0.0576755069, 0.0669720322}, - {-0.00444121612, 0.0793555602, 0.390720248, -0.0370217934, -0.060420014, -0.17472823, -0.128687784, -0.0562848896, - -0.200554535, -0.117584094, -0.229736671, -0.0492684208, -0.09022028, -0.202754006, -0.145906717, -0.0469560921, - -0.108592667, -0.15590696, 0.104072399, -0.233957559, -0.241865575, -0.162876457, -0.134896994, 0.0168750416, - -0.106359892, -0.206103921, -0.114564195, 0.0406271257}, - {-0.0579300262, -0.983953953, 0.27863729, -0.0652026981, -0.0805736631, -0.141590416, 0.0417990312, -0.369090438, - -0.189297214, -0.040947821, -0.291509479, -0.220988795, -0.118952155, -0.0173201263, -0.143645421, -0.0342713632, - -0.00537217828, -0.0788097605, -0.0838199332, -0.129369318, -0.0307453983, -0.145783737, -0.2524966, 0.062318705, - -0.0391301997, -0.104023471, -0.10497918, -0.0632607266}, - {-0.152529836, 0.51327163, -0.711286724, 0.266755104, 0.257947773, 0.18635492, 0.151017815, -0.0183920749, - 0.125404969, 0.329953462, 0.324240685, 0.177773073, 0.0860135183, -0.0581600331, 0.164070696, 0.200355977, - 0.234334707, 0.0961033925, 0.0281405039, 0.154808745, 0.16040729, 0.153179064, 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-0.0742982924, -0.021756392, + -0.0343282968, -0.00448664837, -0.0423567258}, + {-0.146918356, 0.447307825, -0.143606752, -0.0969513431, -0.0310435724, -0.0160554368, -0.0268079266, -0.0412539244, + -0.102859691, -0.100135177, -0.193884194, -0.0130110625, -0.0967244878, -0.0163912624, -0.0904889107, -0.19804363, + -0.149922729, -0.0109635526, -0.0905889943, -0.114994846, -0.0114435479, 0.0449921228, -0.0197346658, -0.0197591614, + -0.101547442, -0.0553377345, -0.104216985}, }; const float five_dense_biases[FIVE_DENSE_NUM] = { - -0.10617651, 0.0154197877, 0.117111742, 0.0102650877, -0.0448654294, 0.126132563, -0.0500919819, 0.0159013756, - 0.0496373884, 0.084379822, -0.00225325767, 0.0812280104, 0.0491173491, 0.0674164817, 0.0837717131, 0.0212170333, - 0.0402449444, 0.0646258593, 0.0199432168, 0.165128812, -0.0247633122, 0.174038321, 0.138526052, 0.0143451681, - -0.0253094565, 0.0728244409, 0.111286744, -0.448067099, 0.0112198424, -0.0453164801, 0.0155658703, 0.0870072767, - -0.0218650661, 0.125383839, 0.133538574, 0.0686686113, -0.103338301, 0.0217641667, -0.0431467518, 0.150365531, - 0.116416521, -0.0184898619, 0.0454672761, 0.0856234804, -0.00140490883, -0.0644598156, 0.0778391585, -0.0264345333, - 0.0395229757, 0.174890205, 0.163560331, 0.106107652, -0.0916002616, 0.0171617456, 0.0535748713, 0.134761348, - 0.037883196, -0.0293981228, -0.015096793, 0.0806951076, 0.0568698086, 0.217878923, 0.00285294349, -0.130014911 + -0.145204157, -0.0277402811, 0.211434156, -0.117382497, -0.132206768, 0.21691145, -0.0433791168, 0.27201575, + 0.129949957, 0.304839015, -0.0968279541, 0.277042836, -0.115271628, -0.079115212, -0.16494669, -0.0510745384, + -0.144819096, 0.0475319512, -0.0802276954, 0.188885778, -0.182127863, 0.329600185, -0.150753573, 0.0957632288, + 0.0111581245, 0.157950222, -0.141521424, -0.190296218, 0.248286828, -0.0684776604, 0.137061238, 0.415693849, + 0.395839244, 0.360719889, 0.205312118, -0.0245424975, 0.112486944, 0.361877054, 0.0785427466, 0.267031074, + 0.240074143, 0.0293443501, 0.227391914, 0.594486654, 0.314840108, -0.141555116, 0.440181881, 0.315535516, + 0.293939352, 0.255981237, -0.0057315263, 0.236052379, -0.140156507, 0.0054772296, -0.150556788, -0.0183430873, + -0.0312510394, -0.00800710451, -0.0939261094, 0.164174587, -0.0876725167, -0.129597217, -0.0221878439, -0.0834591836 }; const float five_logit_weights[FIVE_DENSE_NUM] NN_ALIGNED = { - -0.152189046, 0.31145522, -0.501055002, -0.430743396, -0.188517824, -0.644860923, -0.305823237, 0.34793064, - -0.355522096, -0.604841352, 0.429184705, -0.433712095, -0.556476772, 0.400933564, 0.253976047, -0.234569505, - -0.447005302, -0.503887117, -0.42374301, 0.404452264, 0.363007545, 0.28902337, 0.452245891, 0.248775348, - -0.242137939, -0.410595566, 0.439538449, 0.265520841, -0.30932796, -0.992903769, -0.165342614, 0.125757992, - -0.483581424, -0.543122172, 0.357163519, 0.418349832, -0.152612984, -0.494201779, 0.198039696, -0.249059439, - -0.665596426, -0.246806905, 0.261523813, -0.303902447, -0.494532794, -0.474734098, 0.359146118, -0.245298445, - -0.306960076, 0.334577858, 0.594795048, 0.481912762, -0.306986272, 0.314059317, -0.20452112, 0.369527459, - 0.188040748, -0.312300235, -0.393799305, -0.394559473, 0.270650476, 0.466186255, -0.212885186, 0.822468579 + 0.37051487, 0.508214772, -0.32005766, 0.27220732, 0.374211431, -0.264154106, 0.270360202, -0.629945159, + -0.199804112, -0.563038468, 0.516418219, -0.688697159, 0.48299551, 0.404973507, 0.551129878, 0.321002781, + 0.335608274, 0.337184101, 0.424715966, -0.131399259, 0.319061458, -0.486196607, 0.233341113, -0.142906249, + 0.330237418, -0.189801574, 0.355688512, 0.267817706, -0.514791608, 0.227719396, -0.158957332, -0.924359977, + -0.623777807, -0.700493455, -0.171029702, 0.379386812, -0.238112986, -0.526128888, -0.205522895, -0.512478709, + -0.175714538, 0.367500365, -0.275081784, -1.24400628, -0.298168987, 0.275398135, -0.823152721, -0.455135852, + -0.339576572, -0.454856992, 0.44089666, -0.403158367, 0.365665168, 0.305184871, 0.178278625, 0.3014597, + 0.215111017, 0.386294872, 0.421103477, -0.326511413, 0.342057288, 0.267303318, 0.311787248, 0.310548276 }; -const float five_logit_bias = -0.0201850198; +const float five_logit_bias = -0.10439048; |