log

#data points: 6808
epoch #0
val loss   : 7.807570, val predict   = 0.0%
train loss : 7.871518, train predict = 0.0%
train sample
        庭前春晓雄鸡舞___(世上风清燕子飞___) -> __________
test sample
        艺苑百花俏_____(文坛万象新_____) -> 雾_________

epoch #1
val loss   : 4.393657, val predict   = 0.0%
train loss : 4.531971, train predict = 0.0%
train sample
        弧帨同悬葵心向日__(椿萱并茂婪尾留春__) -> 春花春万万万春春__
test sample
        风竹引天乐_____(林亭聚地灵_____) -> 春春春春______

epoch #2
val loss   : 4.506798, val predict   = 0.0%
train loss : 4.341106, train predict = 0.0%
train sample
        夫妻似胶漆恩恩爱爱_(光景如榴花火火红红_) -> 春花春春万万万春春_
test sample
        碧海苍山玉宇____(春风丽日神州____) -> 春花春万春春____

epoch #3
val loss   : 4.501491, val predict   = 0.0%
train loss : 4.286062, train predict = 0.0%
train sample
        诗画满园铺锦绣___(风雷动地走龙蛇___) -> 春花人有万长春___
test sample
        经济医时昭一代___(功名寿世足千秋___) -> 春风春风万春春___

epoch #4
val loss   : 4.506361, val predict   = 0.0%
train loss : 4.333735, train predict = 0.0%
train sample
        猴捧仙桃国安人寿__(羊衔嘉穗物阜年丰__) -> 春年春年万报新春__
test sample
        回溯前尘情同骨肉__(追怀往事痛断肝肠__) -> 春年春开万报新春__

epoch #5
val loss   : 4.126064, val predict   = 0.0%
train loss : 3.804401, train predict = 0.0%
train sample
        军民团结如一人___(试看天下谁能敌___) -> 无前有月祝长春___
test sample
        同行顿失慈容劳想像_(教诲缅怀懿训寄悲哀_) -> 无公有，，寿有长心_

epoch #6
val loss   : 4.499676, val predict   = 0.0%
train loss : 3.726012, train predict = 0.0%
train sample
        试看题字疑为凤___(敢道登门便是龙___) -> 人花花月有长人___
test sample
        暮日欣交贴心伴___(余生乐度幸福秋___) -> 春花花月月长春___

epoch #7
val loss   : 4.752257, val predict   = 0.0%
train loss : 3.583410, train predict = 0.0%
train sample
        多种经营四路进宝__(全面发展八方生财__) -> 椿风益寿万代长春__
test sample
        椿萱并茂______(庚婺同明______) -> 人月长春______

epoch #8
val loss   : 3.936577, val predict   = 0.0%
train loss : 3.469203, train predict = 0.0%
train sample
        桃李齐开春正好___(屋堂合曜寿无疆___) -> 人前有月不无圆___
test sample
        雨润萱花添秀色___(风和兰竹报平安___) -> 春花花月月双飞___

epoch #9
val loss   : 4.597619, val predict   = 0.0%
train loss : 3.597021, train predict = 0.0%
train sample
        行可楷模年称德___(老夫松柏岁长春___) -> 无爱无亲一千香___
test sample
        千秋业绩______(一代风流______) -> 四海春丰______

epoch #10
val loss   : 4.099648, val predict   = 0.0%
train loss : 3.489463, train predict = 0.0%
train sample
        枝头喜鹊言春早___(院里金鸡报岁新___) -> 春马春春报福春___
test sample
        膝下承欢未尽意___(床前伺奉尚余心___) -> 情前有子自人心___

epoch #11
val loss   : 3.867900, val predict   = 0.0%
train loss : 3.565973, train predict = 0.0%
train sample
        花容羞月色_____(秋夜作春宵_____) -> 春山月月香_____
test sample
        夕阳无限光景美___(萱草有根晚花香___) -> 春风日喜喜双飞___

epoch #12
val loss   : 4.487029, val predict   = 0.0%
train loss : 3.027531, train predict = 0.0%
train sample
        春满柜台五光十色__(货盈橱架万紫千红__) -> 春风绿上万海新春__
test sample
        主欢客乐______(近悦远来______) -> 德德常通______

epoch #13
val loss   : 4.382755, val predict   = 0.0%
train loss : 3.084887, train predict = 0.0%
train sample
        碧桃无意随春水___(黄犊有情鼓绿涛___) -> 春花得日玉阳春___
test sample
        满座嘉宾漾喜气___(声声花炮迎新人___) -> 金风喜舞报春风___

epoch #14
val loss   : 4.189896, val predict   = 0.0%
train loss : 2.891950, train predict = 0.0%
train sample
        人增高寿______(天转阳和______) -> 天气常辉______
test sample
        送酒刚送开径后___(调羹时值授衣时___) -> 莫闻何始赤子心___

epoch #15
val loss   : 4.524174, val predict   = 0.0%
train loss : 2.828444, train predict = 0.0%
train sample
        萱草含芳千岁艳___(桂花香动五株新___) -> 花树花开百岁芝___
test sample
        倚栏芍药艳_____(并蒂蔷薇香_____) -> 同同人上诗_____

epoch #16
val loss   : 4.517746, val predict   = 0.0%
train loss : 2.377018, train predict = 3.3%
train sample
        牛肥马壮辞牛岁___(虎跃龙腾迎虎年___) -> 燕语春春幸福春___
test sample
        金鸡歌国泰_____(义犬报民安_____) -> 玉燕报春风_____

epoch #17
val loss   : 4.653554, val predict   = 0.0%
train loss : 2.656518, train predict = 0.0%
train sample
        门书喜字乾坤乐___(户进新人岁月甜___) -> 大日春风万象新___
test sample
        千顷金涛迎喜至___(一枝红杏入墙来___) -> 万里龙飞报早春___

epoch #18
val loss   : 4.086710, val predict   = 0.0%
train loss : 2.398966, train predict = 0.0%
train sample
        好女娶夫破旧俗___(英男落户树新风___) -> 大地长开万象新___
test sample
        吉日花开梅并蒂___(良宵家庆月双圆___) -> 春风焕月映慈圆___

epoch #19
val loss   : 3.813875, val predict   = 0.0%
train loss : 2.310621, train predict = 0.0%
train sample
        银镜台前人似玉___(茜纱窗下语如诗___) -> 玉露芝田梦夜圆___
test sample
        龙去神威在_____(蛇来紫气生_____) -> 兔迎喜气浓_____

epoch #20
val loss   : 4.057551, val predict   = 0.0%
train loss : 2.415551, train predict = 0.0%
train sample
        碧野千重铺锦绣___(金鸡一曲唱丰收___) -> 金鸡万马奔腾飞___
test sample
        纳杏在林时维二月__(紫芝纪算数合九畴__) -> 鹤筹添寿五祝三秋__

epoch #21
val loss   : 3.972025, val predict   = 0.0%
train loss : 2.313770, train predict = 0.0%
train sample
        竹径有时风为扫___(此门无事日常关___) -> 此人无亲德有多___
test sample
        挥笔龙蛇走_____(迎春莺燕歌_____) -> 举兔报春来_____

epoch #22
val loss   : 4.875242, val predict   = 0.0%
train loss : 1.937594, train predict = 3.3%
train sample
        推崇科学笑迎百花艳_(倡导文明喜看万象新_) -> 倡导高明开万代迎春_
test sample
        诗无流俗形声正___(字不矜张结构安___) -> 莫闻何悟自无穷___

epoch #23
val loss   : 4.381342, val predict   = 0.0%
train loss : 1.986340, train predict = 3.3%
train sample
        庭余安乐福_____(门掩太平居_____) -> 大气焕新春_____
test sample
        英雄门第______(革命人家______) -> 钢国长庭______

epoch #24
val loss   : 4.332813, val predict   = 0.0%
train loss : 2.129490, train predict = 0.0%
train sample
        开上寿初筵九十曰耄_(乐余年安康八千为秋_) -> 良孙百世四化代千秋_
test sample
        爱党心诚葵向日___(孚民德重凤朝阳___) -> 精国人家自厦才___

epoch #25
val loss   : 4.522930, val predict   = 0.0%
train loss : 1.785934, train predict = 3.3%
train sample
        伏枥犹存千里志___(添翼更上九重天___) -> 芳流万树九边天___
test sample
        花开天下福_____(马跃人间春_____) -> 人暖月乾坤_____

epoch #26
val loss   : 4.002631, val predict   = 0.0%
train loss : 1.657120, train predict = 3.3%
train sample
        足征盛德如公寿可必得(若说不才像舅我何敢当) -> 若说说实像舅舅我何何
test sample
        念祖母毕生操劳伤罔报(教孙曹终天抱恨痛难忘) -> 叹哉辈辈强强国里长生

epoch #27
val loss   : 4.513371, val predict   = 0.0%
train loss : 1.852594, train predict = 3.3%
train sample
        香山梅鹤饶清福___(宅地神仙占大春___) -> 喜气春风入吉祥___
test sample
        春露秋霜连广宇___(羊肠鸟道变通途___) -> 春风翠柳映翠堂___

epoch #28
val loss   : 4.334445, val predict   = 0.0%
train loss : 1.671215, train predict = 0.0%
train sample
        虎啸一声山海动___(龙腾三界吉祥来___) -> 兔年万象展丰年___
test sample
        兰室犹然仍旧址___(槐堂又喜庆新居___) -> 琴瑟合曜寿无疆___

epoch #29
val loss   : 5.485227, val predict   = 0.0%
train loss : 1.720591, train predict = 6.7%
train sample
        志大年高一腔热血__(童颜鹤发满面春风__) -> 童颜鹤发百世长生__
test sample
        新开周岁蹒珊步___(初启此生浩荡云___) -> 新风喜宇着冲云___

epoch #30
val loss   : 4.132557, val predict   = 0.0%
train loss : 1.392887, train predict = 13.3%
train sample
        柳树花明春正好___(珠联璧合影成双___) -> 花联璧梦结同心___
test sample
        温公正人耆英会___(马氏咸称矍铄翁___) -> 誓爱应命尽英雄___

epoch #31
val loss   : 5.011171, val predict   = 0.0%
train loss : 1.720337, train predict = 0.0%
train sample
        酒泛金樽以介眉寿__(花开琼岛有婪尾春__) -> 花田宝婺彩映林辰__
test sample
        日煦萱花云征异彩__(天留婺宿人庆百年__) -> 花投日彩瑞庆双堂__

epoch #32
val loss   : 4.349203, val predict   = 0.0%
train loss : 1.466422, train predict = 6.7%
train sample
        壮志结成四化果___(红心顶起半边天___) -> 英心顶出百家多___
test sample
        新春玉犬门前卧___(华夏金龙天外飞___) -> 大地嗣蹄起翠眉___

epoch #33
val loss   : 4.860750, val predict   = 0.0%
train loss : 1.323280, train predict = 6.7%
train sample
        三春景好闻鸡先起舞_(两岸情深盼燕早归来_) -> 四岸同开喜燕早腾飞_
test sample
        万里风云骐骥足___(百年珠树凤凰多___) -> 一堂春雨映云云___

epoch #34
val loss   : 5.186878, val predict   = 0.0%
train loss : 1.385919, train predict = 3.3%
train sample
        山蛇起舞云行雨___(喜鹊争鸣雪点梅___) -> 骏马登飞报好音___
test sample
        云山风度______(松柏气节______) -> 喜气啼薰______

epoch #35
val loss   : 4.875988, val predict   = 0.0%
train loss : 1.218386, train predict = 3.3%
train sample
        百族有方致富日___(三军无敌国强时___) -> 百代勤劳有康心___
test sample
        当谢高朋来贺寿___(更欣愚子既完婚___) -> 与国留存赤子心___

epoch #36
val loss   : 4.885123, val predict   = 0.0%
train loss : 1.166628, train predict = 10.0%
train sample
        白发朱颜宜登上寿__(丰衣足食乐享高龄__) -> 丰衣足食乐享晚年__
test sample
        枝生玉殿美连理___(花满瑶池艳并头___) -> 门前日月映云风___

epoch #37
val loss   : 3.993980, val predict   = 0.0%
train loss : 1.051680, train predict = 20.0%
train sample
        可染画牛牛得草___(悲鸿放马马扬鞭___) -> 宜鸿见喜吉盈门___
test sample
        日丽新居暖_____(风和甲第安_____) -> 人开幸福家_____

epoch #38
val loss   : 4.765527, val predict   = 0.0%
train loss : 1.083805, train predict = 10.0%
train sample
        子夜为鼠______(丑时属牛______) -> 丑年属牛______
test sample
        欣看晋殿乘龙婿___(喜听秦楼引凤箫___) -> 鸟锁丹花贯上云___

epoch #39
val loss   : 4.852129, val predict   = 3.3%
train loss : 1.046198, train predict = 6.7%
train sample
        一夜秋风狂摧祖竹__(三更凉露泪洒孙兰__) -> 一孪凉秀泪洒东歌__
test sample
        马蹄留胜迹_____(羊毫谱新歌_____) -> 羊角触雄梅_____

epoch #40
val loss   : 4.239096, val predict   = 0.0%
train loss : 1.060250, train predict = 16.7%
train sample
        心贴人民军威壮___(胸怀祖国胆气豪___) -> 胸怀祖国胆气豪___
test sample
        玉燕迎春春永驻___(金猴降福福常存___) -> 金鸡奋唱国扬煌___