At epoch 1, batch 200, train loss 69.53791213989258, max combine score is 0.0
At epoch 3, batch 400, train loss 59.89554132461548, max combine score is 0.0
At epoch 4, batch 600, train loss 46.17706113815308, max combine score is 0.0
At epoch 6, batch 800, train loss 30.30390789985657, max combine score is 0.0
At epoch 7, batch 1000, train loss 18.408417768478394, max combine score is 0.0
At epoch 9, batch 1200, train loss 12.445308527946473, max combine score is 0.0
At epoch 11, batch 1400, train loss 10.238076043128967, max combine score is 0.0
At epoch 12, batch 1600, train loss 8.934411160945892, max combine score is 0.0
At epoch 14, batch 1800, train loss 7.935746095180511, max combine score is 0.0
At epoch 15, batch 2000, train loss 7.197672686576843, max combine score is 0.0
At epoch 15, batch 2000, dev loss is 4.536094427108765
save, one_dev_loss = 4.536094427108765
At epoch 17, batch 2200, train loss 6.605493559837341, max combine score is 0.0
At epoch 19, batch 2400, train loss 6.210899300575257, max combine score is 0.0
At epoch 20, batch 2600, train loss 5.793801279067993, max combine score is 0.0
At epoch 22, batch 2800, train loss 5.448605878353119, max combine score is 0.0
At epoch 23, batch 3000, train loss 5.175124971866608, max combine score is 0.0
At epoch 25, batch 3200, train loss 4.916651501655578, max combine score is 0.0
At epoch 26, batch 3400, train loss 4.740311325788498, max combine score is 0.0
At epoch 28, batch 3600, train loss 4.516169086694718, max combine score is 0.0
At epoch 30, batch 3800, train loss 4.3506884551048275, max combine score is 0.0
At epoch 31, batch 4000, train loss 4.154145224094391, max combine score is 0.0
At epoch 31, batch 4000, dev loss is 3.3006180433126597
save, one_dev_loss = 3.3006180433126597
At epoch 33, batch 4200, train loss 4.028925778865815, max combine score is 0.0
At epoch 34, batch 4400, train loss 3.9223297023773194, max combine score is 0.0
At epoch 36, batch 4600, train loss 3.783655893802643, max combine score is 0.0
At epoch 38, batch 4800, train loss 3.657171894311905, max combine score is 0.0
At epoch 39, batch 5000, train loss 3.5666364550590517, max combine score is 0.0
At epoch 41, batch 5200, train loss 3.503987292051315, max combine score is 0.0
At epoch 42, batch 5400, train loss 3.3693094384670257, max combine score is 0.0
At epoch 44, batch 5600, train loss 3.308200702667236, max combine score is 0.0
At epoch 46, batch 5800, train loss 3.220600575208664, max combine score is 0.0
At epoch 47, batch 6000, train loss 3.117432824373245, max combine score is 0.0
At epoch 47, batch 6000, dev loss is 3.1571026673683753
save, one_dev_loss = 3.1571026673683753
At epoch 49, batch 6200, train loss 3.042020534276962, max combine score is 0.0
At epoch 50, batch 6400, train loss 2.990682338476181, max combine score is 0.0
At epoch 52, batch 6600, train loss 2.9343612670898436, max combine score is 0.0
At epoch 53, batch 6800, train loss 2.8326361763477323, max combine score is 0.0
At epoch 55, batch 7000, train loss 2.7724799633026125, max combine score is 0.0
At epoch 57, batch 7200, train loss 2.7064218497276307, max combine score is 0.0
At epoch 58, batch 7400, train loss 2.6597333765029907, max combine score is 0.0
At epoch 60, batch 7600, train loss 2.595801045894623, max combine score is 0.0
At epoch 61, batch 7800, train loss 2.548932183980942, max combine score is 0.0
At epoch 63, batch 8000, train loss 2.491546242237091, max combine score is 0.0
At epoch 63, batch 8000, dev loss is 3.269152522087097
At epoch 65, batch 8200, train loss 2.418513503074646, max combine score is 0.0
At epoch 66, batch 8400, train loss 2.386305510401726, max combine score is 0.0
At epoch 68, batch 8600, train loss 2.3149156802892685, max combine score is 0.0
At epoch 69, batch 8800, train loss 2.2688013702630996, max combine score is 0.0
At epoch 71, batch 9000, train loss 2.194303466081619, max combine score is 0.0
At epoch 73, batch 9200, train loss 2.1541181617975234, max combine score is 0.0
At epoch 74, batch 9400, train loss 2.121854760050774, max combine score is 0.0
At epoch 76, batch 9600, train loss 2.080239567756653, max combine score is 0.0
At epoch 77, batch 9800, train loss 2.0434208142757417, max combine score is 0.0
At epoch 79, batch 10000, train loss 1.9759583246707917, max combine score is 0.0
At epoch 79, batch 10000, dev loss is 3.4493936758774977
At epoch 80, batch 10200, train loss 1.9380516964197159, max combine score is 0.0
At epoch 82, batch 10400, train loss 1.8675348442792892, max combine score is 0.0
At epoch 84, batch 10600, train loss 1.855514146089554, max combine score is 0.0
At epoch 85, batch 10800, train loss 1.8233491837978364, max combine score is 0.0
At epoch 87, batch 11000, train loss 1.7623013919591903, max combine score is 0.0
At epoch 88, batch 11200, train loss 1.7259164559841156, max combine score is 0.0
At epoch 90, batch 11400, train loss 1.675067391395569, max combine score is 0.0
At epoch 92, batch 11600, train loss 1.6551074928045273, max combine score is 0.0
At epoch 93, batch 11800, train loss 1.627160885334015, max combine score is 0.0
At epoch 0, batch 200, train loss 63.63565107345581, max combine score is 0.0
At epoch 1, batch 400, train loss 57.00634269714355, max combine score is 0.0
At epoch 0, batch 200, train loss 66.20068796157837, max combine score is 0.0
At epoch 0, batch 400, train loss 59.107809677124024, max combine score is 0.0
At epoch 0, batch 600, train loss 53.26098140716553, max combine score is 0.0
At epoch 1, batch 800, train loss 45.84981498718262, max combine score is 0.0
At epoch 1, batch 1000, train loss 36.73933802604675, max combine score is 0.0
At epoch 1, batch 1200, train loss 28.799084768295288, max combine score is 0.0
At epoch 2, batch 1400, train loss 20.371703457832336, max combine score is 0.0
At epoch 2, batch 1600, train loss 14.387379541397095, max combine score is 0.0
At epoch 2, batch 1800, train loss 11.306433472633362, max combine score is 0.0
At epoch 2, batch 2000, train loss 9.753184568881988, max combine score is 0.0
At epoch 2, batch 2000, dev loss is 6.29057592815823
save, one_dev_loss = 6.29057592815823
At epoch 3, batch 2200, train loss 8.826771759986878, max combine score is 0.0
At epoch 3, batch 2400, train loss 8.19282677412033, max combine score is 0.0
At epoch 3, batch 2600, train loss 7.549976706504822, max combine score is 0.0
At epoch 4, batch 2800, train loss 7.121960110664368, max combine score is 0.0
At epoch 4, batch 3000, train loss 6.787245659828186, max combine score is 0.0
At epoch 4, batch 3200, train loss 6.38826889038086, max combine score is 0.0
At epoch 5, batch 3400, train loss 6.089363417625427, max combine score is 0.0
At epoch 5, batch 3600, train loss 5.8238605523109435, max combine score is 0.0
At epoch 5, batch 3800, train loss 5.6111283469200135, max combine score is 0.0
At epoch 5, batch 4000, train loss 5.3655477404594425, max combine score is 0.0
At epoch 5, batch 4000, dev loss is 3.671850230958727
save, one_dev_loss = 3.671850230958727
At epoch 6, batch 4200, train loss 5.270945234298706, max combine score is 0.0
At epoch 6, batch 4400, train loss 4.993318922519684, max combine score is 0.0
At epoch 6, batch 4600, train loss 4.879657328128815, max combine score is 0.0
At epoch 7, batch 4800, train loss 4.780244951248169, max combine score is 0.0
At epoch 7, batch 5000, train loss 4.6418088185787205, max combine score is 0.0
At epoch 7, batch 5200, train loss 4.4701948940753935, max combine score is 0.0
At epoch 8, batch 5400, train loss 4.46321235537529, max combine score is 0.0
At epoch 8, batch 5600, train loss 4.282949385643005, max combine score is 0.0
At epoch 8, batch 5800, train loss 4.312901219129563, max combine score is 0.0
At epoch 8, batch 6000, train loss 4.1399002873897555, max combine score is 0.0
At epoch 8, batch 6000, dev loss is 2.9990897708468967
save, one_dev_loss = 2.9990897708468967
At epoch 9, batch 6200, train loss 4.090036506652832, max combine score is 0.0
At epoch 9, batch 6400, train loss 4.073503555059433, max combine score is 0.0
At epoch 9, batch 6600, train loss 4.046565645933152, max combine score is 0.0
At epoch 10, batch 6800, train loss 3.917356594800949, max combine score is 0.0
At epoch 10, batch 7000, train loss 3.8923353254795074, max combine score is 0.0
At epoch 10, batch 7200, train loss 3.8096621799468995, max combine score is 0.0
At epoch 11, batch 7400, train loss 3.847793662548065, max combine score is 0.0
At epoch 11, batch 7600, train loss 3.7180807185173035, max combine score is 0.0
At epoch 11, batch 7800, train loss 3.703457306623459, max combine score is 0.0
At epoch 11, batch 8000, train loss 3.6624076128005982, max combine score is 0.0
At epoch 11, batch 8000, dev loss is 2.7874792416890464
save, one_dev_loss = 2.7874792416890464
At epoch 12, batch 8200, train loss 3.6032970082759856, max combine score is 0.0
At epoch 12, batch 8400, train loss 3.5614844155311585, max combine score is 0.0
At epoch 12, batch 8600, train loss 3.5794659423828126, max combine score is 0.0
At epoch 13, batch 8800, train loss 3.5043815040588377, max combine score is 0.0
At epoch 13, batch 9000, train loss 3.4786419558525083, max combine score is 0.0
At epoch 13, batch 9200, train loss 3.468709629774094, max combine score is 0.0
At epoch 14, batch 9400, train loss 3.3869912385940553, max combine score is 0.0
At epoch 14, batch 9600, train loss 3.3769323205947877, max combine score is 0.0
At epoch 14, batch 9800, train loss 3.341722558736801, max combine score is 0.0
At epoch 14, batch 10000, train loss 3.323361302614212, max combine score is 0.0
At epoch 14, batch 10000, dev loss is 2.683242771360609
save, one_dev_loss = 2.683242771360609
At epoch 15, batch 10200, train loss 3.2976630878448487, max combine score is 0.0
At epoch 15, batch 10400, train loss 3.268674486875534, max combine score is 0.0
At epoch 15, batch 10600, train loss 3.2520912528038024, max combine score is 0.0
At epoch 16, batch 10800, train loss 3.2184151041507723, max combine score is 0.0
At epoch 16, batch 11000, train loss 3.22881532907486, max combine score is 0.0
At epoch 16, batch 11200, train loss 3.185795247554779, max combine score is 0.0
At epoch 17, batch 11400, train loss 3.1461518025398254, max combine score is 0.0
At epoch 17, batch 11600, train loss 3.1232739078998564, max combine score is 0.0
At epoch 17, batch 11800, train loss 3.0464783191680906, max combine score is 0.0
At epoch 17, batch 12000, train loss 3.1253774690628053, max combine score is 0.0
At epoch 17, batch 12000, dev loss is 2.5555117660098605
save, one_dev_loss = 2.5555117660098605
At epoch 18, batch 12200, train loss 3.014820319414139, max combine score is 0.0
At epoch 18, batch 12400, train loss 3.0145556235313418, max combine score is 0.0
At epoch 18, batch 12600, train loss 3.0129497694969176, max combine score is 0.0
At epoch 19, batch 12800, train loss 3.0024358105659483, max combine score is 0.0
At epoch 19, batch 13000, train loss 2.9663311183452605, max combine score is 0.0
At epoch 19, batch 13200, train loss 2.96916916012764, max combine score is 0.0
At epoch 20, batch 13400, train loss 2.9679764902591703, max combine score is 0.0
At epoch 20, batch 13600, train loss 2.868857924938202, max combine score is 0.0
At epoch 20, batch 13800, train loss 2.8853791832923887, max combine score is 0.0
At epoch 20, batch 14000, train loss 2.8649545979499815, max combine score is 0.0
At epoch 20, batch 14000, dev loss is 2.5252784623040094
save, one_dev_loss = 2.5252784623040094
At epoch 21, batch 14200, train loss 2.850168485045433, max combine score is 0.0
At epoch 21, batch 14400, train loss 2.8234520709514617, max combine score is 0.0
At epoch 21, batch 14600, train loss 2.8334538573026657, max combine score is 0.0
At epoch 22, batch 14800, train loss 2.820319287776947, max combine score is 0.0
At epoch 22, batch 15000, train loss 2.789391074180603, max combine score is 0.0
At epoch 22, batch 15200, train loss 2.792835110425949, max combine score is 0.0
At epoch 23, batch 15400, train loss 2.7686065757274627, max combine score is 0.0
At epoch 23, batch 15600, train loss 2.7257501530647277, max combine score is 0.0
At epoch 23, batch 15800, train loss 2.6955698144435885, max combine score is 0.0
At epoch 23, batch 16000, train loss 2.686707572937012, max combine score is 0.0
At epoch 23, batch 16000, dev loss is 2.4485428598192005
save, one_dev_loss = 2.4485428598192005
At epoch 24, batch 16200, train loss 2.686743881702423, max combine score is 0.0
At epoch 24, batch 16400, train loss 2.69434675693512, max combine score is 0.0
At epoch 24, batch 16600, train loss 2.696392839550972, max combine score is 0.0
At epoch 25, batch 16800, train loss 2.6502559423446654, max combine score is 0.0
At epoch 25, batch 17000, train loss 2.618737832903862, max combine score is 0.0
At epoch 25, batch 17200, train loss 2.627357996702194, max combine score is 0.0
At epoch 26, batch 17400, train loss 2.6374876564741134, max combine score is 0.0
At epoch 26, batch 17600, train loss 2.577417480945587, max combine score is 0.0
At epoch 26, batch 17800, train loss 2.586482567191124, max combine score is 0.0
At epoch 26, batch 18000, train loss 2.5374797761440275, max combine score is 0.0
At epoch 26, batch 18000, dev loss is 2.439796527226766
save, one_dev_loss = 2.439796527226766
At epoch 27, batch 18200, train loss 2.5309843611717224, max combine score is 0.0
At epoch 27, batch 18400, train loss 2.503159758448601, max combine score is 0.0
At epoch 27, batch 18600, train loss 2.518881453871727, max combine score is 0.0
At epoch 28, batch 18800, train loss 2.479110624194145, max combine score is 0.0
At epoch 28, batch 19000, train loss 2.480468875169754, max combine score is 0.0
At epoch 28, batch 19200, train loss 2.4679425305128095, max combine score is 0.0
At epoch 29, batch 19400, train loss 2.4340201020240784, max combine score is 0.0
At epoch 29, batch 19600, train loss 2.4646096992492676, max combine score is 0.0
At epoch 29, batch 19800, train loss 2.4476033318042756, max combine score is 0.0
At epoch 29, batch 20000, train loss 2.402383608222008, max combine score is 0.0
At epoch 29, batch 20000, dev loss is 2.3910611867904663
save, one_dev_loss = 2.3910611867904663
At epoch 30, batch 20200, train loss 2.3882380598783493, max combine score is 0.0
At epoch 30, batch 20400, train loss 2.3819570380449293, max combine score is 0.0
At epoch 30, batch 20600, train loss 2.360924080610275, max combine score is 0.0
At epoch 31, batch 20800, train loss 2.3738974636793135, max combine score is 0.0
At epoch 31, batch 21000, train loss 2.370907297730446, max combine score is 0.0
At epoch 31, batch 21200, train loss 2.333102444410324, max combine score is 0.0
At epoch 32, batch 21400, train loss 2.3566787314414976, max combine score is 0.0
At epoch 32, batch 21600, train loss 2.3603055477142334, max combine score is 0.0
At epoch 32, batch 21800, train loss 2.340977897644043, max combine score is 0.0
At epoch 32, batch 22000, train loss 2.302380034327507, max combine score is 0.0
At epoch 32, batch 22000, dev loss is 2.382239964273241
save, one_dev_loss = 2.382239964273241
At epoch 33, batch 22200, train loss 2.2894234585762026, max combine score is 0.0
At epoch 33, batch 22400, train loss 2.289525937438011, max combine score is 0.0
At epoch 33, batch 22600, train loss 2.271492955684662, max combine score is 0.0
At epoch 34, batch 22800, train loss 2.2630372881889342, max combine score is 0.0
At epoch 34, batch 23000, train loss 2.2705775725841524, max combine score is 0.0
At epoch 34, batch 23200, train loss 2.2370779299736023, max combine score is 0.0
At epoch 35, batch 23400, train loss 2.2479054635763167, max combine score is 0.0
At epoch 35, batch 23600, train loss 2.2172903352975846, max combine score is 0.0
At epoch 35, batch 23800, train loss 2.207767597436905, max combine score is 0.0
At epoch 35, batch 24000, train loss 2.218983444571495, max combine score is 0.0
At epoch 35, batch 24000, dev loss is 2.354506082004971
save, one_dev_loss = 2.354506082004971
At epoch 36, batch 24200, train loss 2.182205138206482, max combine score is 0.0
At epoch 36, batch 24400, train loss 2.1942104649543763, max combine score is 0.0
At epoch 36, batch 24600, train loss 2.1882215464115142, max combine score is 0.0
At epoch 37, batch 24800, train loss 2.192851401567459, max combine score is 0.0
At epoch 37, batch 25000, train loss 2.1465913915634154, max combine score is 0.0
At epoch 37, batch 25200, train loss 2.1246263194084167, max combine score is 0.0
At epoch 38, batch 25400, train loss 2.1394081360101698, max combine score is 0.0
At epoch 38, batch 25600, train loss 2.136167134642601, max combine score is 0.0
At epoch 38, batch 25800, train loss 2.127421221137047, max combine score is 0.0
At epoch 38, batch 26000, train loss 2.1006451100111008, max combine score is 0.0
At epoch 38, batch 26000, dev loss is 2.369241158167521
At epoch 39, batch 26200, train loss 2.0863590413331985, max combine score is 0.0
At epoch 39, batch 26400, train loss 2.1123389184474943, max combine score is 0.0
At epoch 39, batch 26600, train loss 2.09157741189003, max combine score is 0.0
At epoch 40, batch 26800, train loss 2.0198271065950393, max combine score is 0.0
At epoch 40, batch 27000, train loss 2.0548442262411117, max combine score is 0.0
At epoch 40, batch 27200, train loss 2.0373924618959425, max combine score is 0.0
At epoch 41, batch 27400, train loss 2.026537190079689, max combine score is 0.0
At epoch 41, batch 27600, train loss 2.009676434993744, max combine score is 0.0
At epoch 41, batch 27800, train loss 2.0472141480445862, max combine score is 0.0
At epoch 41, batch 28000, train loss 2.020524454712868, max combine score is 0.0
At epoch 41, batch 28000, dev loss is 2.3418007294336953
save, one_dev_loss = 2.3418007294336953
At epoch 42, batch 28200, train loss 1.987166605591774, max combine score is 0.0
At epoch 42, batch 28400, train loss 2.0110715836286546, max combine score is 0.0
At epoch 42, batch 28600, train loss 1.9977856969833374, max combine score is 0.0
At epoch 43, batch 28800, train loss 1.9951158106327056, max combine score is 0.0
At epoch 43, batch 29000, train loss 1.9570749688148499, max combine score is 0.0
At epoch 43, batch 29200, train loss 1.9859868586063385, max combine score is 0.0
At epoch 44, batch 29400, train loss 1.9753070592880249, max combine score is 0.0
At epoch 44, batch 29600, train loss 1.9432030248641967, max combine score is 0.0
At epoch 44, batch 29800, train loss 1.938830028772354, max combine score is 0.0
At epoch 44, batch 30000, train loss 1.9480785137414933, max combine score is 0.0
At epoch 44, batch 30000, dev loss is 2.341273638937208
save, one_dev_loss = 2.341273638937208
At epoch 45, batch 30200, train loss 1.9319949328899384, max combine score is 0.0
At epoch 45, batch 30400, train loss 1.916507722735405, max combine score is 0.0
At epoch 45, batch 30600, train loss 1.9291818195581436, max combine score is 0.0
At epoch 46, batch 30800, train loss 1.890704824924469, max combine score is 0.0
At epoch 46, batch 31000, train loss 1.9104195511341096, max combine score is 0.0
At epoch 46, batch 31200, train loss 1.888657749891281, max combine score is 0.0
At epoch 47, batch 31400, train loss 1.894044422507286, max combine score is 0.0
At epoch 47, batch 31600, train loss 1.8860133802890777, max combine score is 0.0
At epoch 47, batch 31800, train loss 1.894155237674713, max combine score is 0.0
At epoch 47, batch 32000, train loss 1.8576195287704467, max combine score is 0.0
At epoch 47, batch 32000, dev loss is 2.3478953573438854
At epoch 48, batch 32200, train loss 1.8568929904699325, max combine score is 0.0
At epoch 48, batch 32400, train loss 1.8715143603086473, max combine score is 0.0
At epoch 48, batch 32600, train loss 1.8515536028146744, max combine score is 0.0
At epoch 49, batch 32800, train loss 1.8287547785043716, max combine score is 0.0
At epoch 49, batch 33000, train loss 1.8064749175310135, max combine score is 0.0
At epoch 49, batch 33200, train loss 1.8301864993572234, max combine score is 0.0
At epoch 50, batch 33400, train loss 1.811330772638321, max combine score is 0.0
At epoch 50, batch 33600, train loss 1.8018349295854568, max combine score is 0.0
At epoch 50, batch 33800, train loss 1.8240769535303116, max combine score is 0.0
At epoch 50, batch 34000, train loss 1.7869435834884644, max combine score is 0.0
At epoch 50, batch 34000, dev loss is 2.3576751020219593
At epoch 51, batch 34200, train loss 1.7792994874715804, max combine score is 0.0
At epoch 51, batch 34400, train loss 1.7803276669979096, max combine score is 0.0
At epoch 51, batch 34600, train loss 1.7547403746843337, max combine score is 0.0
At epoch 52, batch 34800, train loss 1.7542614889144899, max combine score is 0.0
At epoch 52, batch 35000, train loss 1.7578461116552353, max combine score is 0.0
At epoch 52, batch 35200, train loss 1.7376827090978622, max combine score is 0.0
At epoch 53, batch 35400, train loss 1.7464175200462342, max combine score is 0.0
At epoch 53, batch 35600, train loss 1.7349320757389068, max combine score is 0.0
At epoch 53, batch 35800, train loss 1.7053255182504654, max combine score is 0.0
At epoch 53, batch 36000, train loss 1.7057965910434723, max combine score is 0.0
At epoch 53, batch 36000, dev loss is 2.372654610209995
At epoch 54, batch 36200, train loss 1.6933546394109726, max combine score is 0.0
At epoch 54, batch 36400, train loss 1.7140900617837906, max combine score is 0.0
At epoch 54, batch 36600, train loss 1.6912443268299102, max combine score is 0.0
At epoch 55, batch 36800, train loss 1.7050379079580307, max combine score is 0.0
At epoch 55, batch 37000, train loss 1.6700755429267884, max combine score is 0.0
At epoch 55, batch 37200, train loss 1.689697898030281, max combine score is 0.0
At epoch 56, batch 37400, train loss 1.662033342719078, max combine score is 0.0
At epoch 56, batch 37600, train loss 1.6756714224815368, max combine score is 0.0
At epoch 56, batch 37800, train loss 1.6682433241605759, max combine score is 0.0
At epoch 56, batch 38000, train loss 1.6560655814409255, max combine score is 0.0
At epoch 56, batch 38000, dev loss is 2.365373969078064
At epoch 57, batch 38200, train loss 1.6480009520053864, max combine score is 0.0
At epoch 57, batch 38400, train loss 1.6511315649747849, max combine score is 0.0
At epoch 57, batch 38600, train loss 1.6467430728673935, max combine score is 0.0
At epoch 58, batch 38800, train loss 1.6142681181430816, max combine score is 0.0
At epoch 58, batch 39000, train loss 1.6187427985668181, max combine score is 0.0
At epoch 58, batch 39200, train loss 1.6410829585790634, max combine score is 0.0
At epoch 59, batch 39400, train loss 1.619627673625946, max combine score is 0.0
At epoch 59, batch 39600, train loss 1.618888652920723, max combine score is 0.0
At epoch 59, batch 39800, train loss 1.6095030760765077, max combine score is 0.0
At epoch 59, batch 40000, train loss 1.6010092574357986, max combine score is 0.0
At epoch 59, batch 40000, dev loss is 2.383530378341675
At epoch 60, batch 40200, train loss 1.5923406893014909, max combine score is 0.0
At epoch 60, batch 40400, train loss 1.5963803130388259, max combine score is 0.0
At epoch 60, batch 40600, train loss 1.5817004495859146, max combine score is 0.0
At epoch 61, batch 40800, train loss 1.5722262209653854, max combine score is 0.0
At epoch 61, batch 41000, train loss 1.5451346558332444, max combine score is 0.0
At epoch 61, batch 41200, train loss 1.5695660734176635, max combine score is 0.0
At epoch 62, batch 41400, train loss 1.5498498332500459, max combine score is 0.0
At epoch 62, batch 41600, train loss 1.553378818631172, max combine score is 0.0
At epoch 62, batch 41800, train loss 1.5526918774843217, max combine score is 0.0
At epoch 62, batch 42000, train loss 1.538992205262184, max combine score is 0.0
At epoch 62, batch 42000, dev loss is 2.385876178741455
At epoch 63, batch 42200, train loss 1.55836181640625, max combine score is 0.0
At epoch 63, batch 42400, train loss 1.5446124511957169, max combine score is 0.0
At epoch 63, batch 42600, train loss 1.5425544226169585, max combine score is 0.0
At epoch 64, batch 42800, train loss 1.5262061387300492, max combine score is 0.0
At epoch 64, batch 43000, train loss 1.501084948182106, max combine score is 0.0
At epoch 64, batch 43200, train loss 1.484143734574318, max combine score is 0.0
At epoch 65, batch 43400, train loss 1.5007818746566772, max combine score is 0.0
At epoch 65, batch 43600, train loss 1.4809987509250642, max combine score is 0.0
At epoch 65, batch 43800, train loss 1.4776589632034303, max combine score is 0.0
At epoch 65, batch 44000, train loss 1.4876527243852615, max combine score is 0.0
At epoch 65, batch 44000, dev loss is 2.4285611973868475
At epoch 66, batch 44200, train loss 1.5011016684770584, max combine score is 0.0
At epoch 66, batch 44400, train loss 1.4785047692060471, max combine score is 0.0
At epoch 66, batch 44600, train loss 1.478340617120266, max combine score is 0.0
At epoch 67, batch 44800, train loss 1.4845669484138488, max combine score is 0.0
At epoch 67, batch 45000, train loss 1.4795968848466874, max combine score is 0.0
At epoch 67, batch 45200, train loss 1.4619415807723999, max combine score is 0.0
At epoch 68, batch 45400, train loss 1.4499169635772704, max combine score is 0.0
At epoch 68, batch 45600, train loss 1.4681038653850556, max combine score is 0.0
At epoch 68, batch 45800, train loss 1.4693684422969817, max combine score is 0.0
At epoch 68, batch 46000, train loss 1.430597457885742, max combine score is 0.0
At epoch 68, batch 46000, dev loss is 2.426718645625644
At epoch 69, batch 46200, train loss 1.4337058854103089, max combine score is 0.0
At epoch 69, batch 46400, train loss 1.4420977687835694, max combine score is 0.0
At epoch 69, batch 46600, train loss 1.4347903269529343, max combine score is 0.0
At epoch 70, batch 46800, train loss 1.4212769812345505, max combine score is 0.0
At epoch 70, batch 47000, train loss 1.433789280653, max combine score is 0.0
At epoch 70, batch 47200, train loss 1.4215939766168595, max combine score is 0.0
At epoch 71, batch 47400, train loss 1.389020739197731, max combine score is 0.0
At epoch 71, batch 47600, train loss 1.4029050302505492, max combine score is 0.0
At epoch 71, batch 47800, train loss 1.4093932697176934, max combine score is 0.0
At epoch 71, batch 48000, train loss 1.3950345852971078, max combine score is 0.0
At epoch 71, batch 48000, dev loss is 2.433911085128784
At epoch 72, batch 48200, train loss 1.4032832437753677, max combine score is 0.0
At epoch 72, batch 48400, train loss 1.3971236419677735, max combine score is 0.0
At epoch 72, batch 48600, train loss 1.385706946849823, max combine score is 0.0
At epoch 73, batch 48800, train loss 1.371984413266182, max combine score is 0.0
At epoch 73, batch 49000, train loss 1.3435683092474937, max combine score is 0.0
At epoch 73, batch 49200, train loss 1.3693448638916015, max combine score is 0.0
At epoch 74, batch 49400, train loss 1.3630183607339859, max combine score is 0.0
At epoch 74, batch 49600, train loss 1.3636936348676683, max combine score is 0.0
At epoch 74, batch 49800, train loss 1.3659727588295936, max combine score is 0.0
At epoch 74, batch 50000, train loss 1.3623055189847946, max combine score is 0.0
At epoch 74, batch 50000, dev loss is 2.469434446758694
At epoch 75, batch 50200, train loss 1.351106336414814, max combine score is 0.0
At epoch 75, batch 50400, train loss 1.337536665201187, max combine score is 0.0
At epoch 75, batch 50600, train loss 1.342523244023323, max combine score is 0.0
At epoch 76, batch 50800, train loss 1.3178197348117828, max combine score is 0.0
At epoch 76, batch 51000, train loss 1.3267562112212181, max combine score is 0.0
At epoch 76, batch 51200, train loss 1.3187647494673729, max combine score is 0.0
At epoch 77, batch 51400, train loss 1.3231146958470346, max combine score is 0.0
At epoch 77, batch 51600, train loss 1.3198752030730247, max combine score is 0.0
At epoch 77, batch 51800, train loss 1.3044831466674804, max combine score is 0.0
At epoch 77, batch 52000, train loss 1.31224593013525, max combine score is 0.0
At epoch 77, batch 52000, dev loss is 2.4811172485351562
At epoch 78, batch 52200, train loss 1.30250265032053, max combine score is 0.0
At epoch 78, batch 52400, train loss 1.3092959439754486, max combine score is 0.0
At epoch 78, batch 52600, train loss 1.2880437916517258, max combine score is 0.0
At epoch 79, batch 52800, train loss 1.3023105177283287, max combine score is 0.0
At epoch 79, batch 53000, train loss 1.2832944777607918, max combine score is 0.0
At epoch 79, batch 53200, train loss 1.2531579747796058, max combine score is 0.0
At epoch 80, batch 53400, train loss 1.2646221226453782, max combine score is 0.0
At epoch 80, batch 53600, train loss 1.2761590027809142, max combine score is 0.0
At epoch 80, batch 53800, train loss 1.2878277060389518, max combine score is 0.0
At epoch 80, batch 54000, train loss 1.2718085184693337, max combine score is 0.0
At epoch 80, batch 54000, dev loss is 2.4974850018819175
At epoch 81, batch 54200, train loss 1.2517146384716034, max combine score is 0.0
At epoch 81, batch 54400, train loss 1.262505521774292, max combine score is 0.0
At epoch 81, batch 54600, train loss 1.2501176822185516, max combine score is 0.0
At epoch 82, batch 54800, train loss 1.2489918649196625, max combine score is 0.0
At epoch 82, batch 55000, train loss 1.2427169507741929, max combine score is 0.0
At epoch 82, batch 55200, train loss 1.2365344759821892, max combine score is 0.0
At epoch 83, batch 55400, train loss 1.235624607205391, max combine score is 0.0
At epoch 83, batch 55600, train loss 1.2465498089790343, max combine score is 0.0
At epoch 83, batch 55800, train loss 1.2305694711208344, max combine score is 0.0
At epoch 83, batch 56000, train loss 1.2223265784978867, max combine score is 0.0
At epoch 83, batch 56000, dev loss is 2.5376327302720814
At epoch 84, batch 56200, train loss 1.2275480028986931, max combine score is 0.0
At epoch 84, batch 56400, train loss 1.2171189984679223, max combine score is 0.0
At epoch 84, batch 56600, train loss 1.2131085869669915, max combine score is 0.0
At epoch 85, batch 56800, train loss 1.2247596326470376, max combine score is 0.0
At epoch 85, batch 57000, train loss 1.1974425274133682, max combine score is 0.0
At epoch 85, batch 57200, train loss 1.1966584619879723, max combine score is 0.0
At epoch 86, batch 57400, train loss 1.1911876219511033, max combine score is 0.0
At epoch 86, batch 57600, train loss 1.1979118251800538, max combine score is 0.0
At epoch 86, batch 57800, train loss 1.1787766921520233, max combine score is 0.0
At epoch 86, batch 58000, train loss 1.185559888780117, max combine score is 0.0
At epoch 86, batch 58000, dev loss is 2.5496468014187283
At epoch 87, batch 58200, train loss 1.1663151744008065, max combine score is 0.0
At epoch 87, batch 58400, train loss 1.1863048735260964, max combine score is 0.0
At epoch 87, batch 58600, train loss 1.169387828707695, max combine score is 0.0
At epoch 88, batch 58800, train loss 1.170321147441864, max combine score is 0.0
At epoch 88, batch 59000, train loss 1.1723964232206345, max combine score is 0.0
At epoch 88, batch 59200, train loss 1.1744079360365867, max combine score is 0.0
At epoch 89, batch 59400, train loss 1.140569159388542, max combine score is 0.0
At epoch 89, batch 59600, train loss 1.1580562743544578, max combine score is 0.0
At epoch 89, batch 59800, train loss 1.1487120634317398, max combine score is 0.0
At epoch 89, batch 60000, train loss 1.151419481933117, max combine score is 0.0
At epoch 89, batch 60000, dev loss is 2.556655274497138
At epoch 90, batch 60200, train loss 1.1658975926041604, max combine score is 0.0
At epoch 90, batch 60400, train loss 1.1395139110088348, max combine score is 0.0
At epoch 90, batch 60600, train loss 1.1280692449212075, max combine score is 0.0
At epoch 91, batch 60800, train loss 1.1388535305857659, max combine score is 0.0
At epoch 91, batch 61000, train loss 1.1243551835417747, max combine score is 0.0
At epoch 91, batch 61200, train loss 1.128814612030983, max combine score is 0.0
At epoch 92, batch 61400, train loss 1.1337568897008896, max combine score is 0.0
At epoch 92, batch 61600, train loss 1.1087149533629417, max combine score is 0.0
At epoch 92, batch 61800, train loss 1.117030299603939, max combine score is 0.0
At epoch 92, batch 62000, train loss 1.0966554415225982, max combine score is 0.0
At epoch 92, batch 62000, dev loss is 2.6135418150160046
At epoch 93, batch 62200, train loss 1.1090962064266205, max combine score is 0.0
At epoch 93, batch 62400, train loss 1.1059956419467927, max combine score is 0.0
At epoch 93, batch 62600, train loss 1.0963397651910782, max combine score is 0.0
At epoch 94, batch 62800, train loss 1.0978940427303314, max combine score is 0.0
At epoch 94, batch 63000, train loss 1.0960699927806854, max combine score is 0.0
At epoch 94, batch 63200, train loss 1.094140878021717, max combine score is 0.0
At epoch 95, batch 63400, train loss 1.0884089910984038, max combine score is 0.0
At epoch 95, batch 63600, train loss 1.0913066059350967, max combine score is 0.0
At epoch 95, batch 63800, train loss 1.0682938569784164, max combine score is 0.0
At epoch 95, batch 64000, train loss 1.0848369264602662, max combine score is 0.0
At epoch 95, batch 64000, dev loss is 2.644648790359497
At epoch 96, batch 64200, train loss 1.0550389060378074, max combine score is 0.0
At epoch 96, batch 64400, train loss 1.0637175387144089, max combine score is 0.0
At epoch 96, batch 64600, train loss 1.0839818221330644, max combine score is 0.0
At epoch 97, batch 64800, train loss 1.0677332878112793, max combine score is 0.0
At epoch 97, batch 65000, train loss 1.0722606086730957, max combine score is 0.0
At epoch 97, batch 65200, train loss 1.0503117111325264, max combine score is 0.0
At epoch 98, batch 65400, train loss 1.0580371338129044, max combine score is 0.0
At epoch 98, batch 65600, train loss 1.0394477739930152, max combine score is 0.0
At epoch 98, batch 65800, train loss 1.0364968907833099, max combine score is 0.0
At epoch 98, batch 66000, train loss 1.0405023837089538, max combine score is 0.0
At epoch 98, batch 66000, dev loss is 2.689312802420722
At epoch 99, batch 66200, train loss 1.031518006324768, max combine score is 0.0
At epoch 99, batch 66400, train loss 1.0356482002139091, max combine score is 0.0
At epoch 99, batch 66600, train loss 1.0278466156125068, max combine score is 0.0
At epoch 100, batch 66800, train loss 1.0344872015714646, max combine score is 0.0
At epoch 100, batch 67000, train loss 1.011167133152485, max combine score is 0.0
At epoch 100, batch 67200, train loss 1.0150959065556526, max combine score is 0.0
At epoch 101, batch 67400, train loss 1.0264644563198089, max combine score is 0.0
At epoch 101, batch 67600, train loss 1.0087546849250792, max combine score is 0.0
At epoch 101, batch 67800, train loss 1.0238877919316292, max combine score is 0.0
At epoch 101, batch 68000, train loss 1.0022869247198105, max combine score is 0.0
At epoch 101, batch 68000, dev loss is 2.699748992919922
At epoch 102, batch 68200, train loss 1.0083492550253867, max combine score is 0.0
At epoch 102, batch 68400, train loss 1.0009490245580672, max combine score is 0.0
At epoch 102, batch 68600, train loss 0.9918994969129562, max combine score is 0.0
At epoch 103, batch 68800, train loss 0.9906893762946128, max combine score is 0.0
At epoch 103, batch 69000, train loss 1.0002854180335998, max combine score is 0.0
At epoch 103, batch 69200, train loss 0.980175931751728, max combine score is 0.0
At epoch 104, batch 69400, train loss 0.9874200356006623, max combine score is 0.0
At epoch 104, batch 69600, train loss 0.9874126687645912, max combine score is 0.0
At epoch 104, batch 69800, train loss 0.9728935620188713, max combine score is 0.0
At epoch 104, batch 70000, train loss 0.9761234939098358, max combine score is 0.0
At epoch 104, batch 70000, dev loss is 2.7381647162967258
At epoch 105, batch 70200, train loss 0.9755951911211014, max combine score is 0.0
At epoch 105, batch 70400, train loss 0.9690928581357002, max combine score is 0.0
At epoch 105, batch 70600, train loss 0.9672243312001229, max combine score is 0.0
At epoch 106, batch 70800, train loss 0.9736366429924965, max combine score is 0.0
At epoch 106, batch 71000, train loss 0.9470596539974213, max combine score is 0.0
At epoch 106, batch 71200, train loss 0.9664739388227462, max combine score is 0.0
At epoch 107, batch 71400, train loss 0.9575068160891533, max combine score is 0.0
At epoch 107, batch 71600, train loss 0.9451773655414581, max combine score is 0.0
At epoch 107, batch 71800, train loss 0.9417195135354995, max combine score is 0.0
At epoch 107, batch 72000, train loss 0.9425831413269044, max combine score is 0.0
At epoch 107, batch 72000, dev loss is 2.770762496524387
At epoch 108, batch 72200, train loss 0.936569858789444, max combine score is 0.0
At epoch 108, batch 72400, train loss 0.9309067291021347, max combine score is 0.0
At epoch 108, batch 72600, train loss 0.9199943044781684, max combine score is 0.0
At epoch 109, batch 72800, train loss 0.9183300134539604, max combine score is 0.0
At epoch 109, batch 73000, train loss 0.9354760012030602, max combine score is 0.0
At epoch 109, batch 73200, train loss 0.9140117648243904, max combine score is 0.0
At epoch 110, batch 73400, train loss 0.918255568742752, max combine score is 0.0
At epoch 110, batch 73600, train loss 0.928197603225708, max combine score is 0.0
At epoch 110, batch 73800, train loss 0.909525356888771, max combine score is 0.0
At epoch 110, batch 74000, train loss 0.9174493259191513, max combine score is 0.0
At epoch 110, batch 74000, dev loss is 2.817360268698798
At epoch 111, batch 74200, train loss 0.906422002017498, max combine score is 0.0
At epoch 111, batch 74400, train loss 0.8979405558109284, max combine score is 0.0
At epoch 111, batch 74600, train loss 0.8947359663248062, max combine score is 0.0
At epoch 112, batch 74800, train loss 0.9077634510397911, max combine score is 0.0
At epoch 112, batch 75000, train loss 0.9057043609023094, max combine score is 0.0
At epoch 112, batch 75200, train loss 0.8744730994105339, max combine score is 0.0
At epoch 113, batch 75400, train loss 0.8895917215943336, max combine score is 0.0
At epoch 113, batch 75600, train loss 0.8911226966977119, max combine score is 0.0
At epoch 113, batch 75800, train loss 0.884416772723198, max combine score is 0.0
At epoch 113, batch 76000, train loss 0.8864712631702423, max combine score is 0.0
At epoch 113, batch 76000, dev loss is 2.8302071359422474
At epoch 114, batch 76200, train loss 0.8759438344836235, max combine score is 0.0
At epoch 114, batch 76400, train loss 0.8606004440784454, max combine score is 0.0
At epoch 114, batch 76600, train loss 0.8772748824954033, max combine score is 0.0
At epoch 115, batch 76800, train loss 0.8687947142124176, max combine score is 0.0
At epoch 115, batch 77000, train loss 0.8489831557869911, max combine score is 0.0
At epoch 115, batch 77200, train loss 0.8675726094841957, max combine score is 0.0
At epoch 116, batch 77400, train loss 0.8542411857843399, max combine score is 0.0
At epoch 116, batch 77600, train loss 0.8572128397226334, max combine score is 0.0
At epoch 116, batch 77800, train loss 0.8425497904419899, max combine score is 0.0
At epoch 116, batch 78000, train loss 0.8535114660859108, max combine score is 0.0
At epoch 116, batch 78000, dev loss is 2.8755680984920926
At epoch 117, batch 78200, train loss 0.8504422682523728, max combine score is 0.0
At epoch 117, batch 78400, train loss 0.8476894974708558, max combine score is 0.0
At epoch 117, batch 78600, train loss 0.8486592081189156, max combine score is 0.0
At epoch 118, batch 78800, train loss 0.8360199642181396, max combine score is 0.0
At epoch 118, batch 79000, train loss 0.8476969635486603, max combine score is 0.0
At epoch 118, batch 79200, train loss 0.8312205478549004, max combine score is 0.0
At epoch 119, batch 79400, train loss 0.8457311049103737, max combine score is 0.0
At epoch 119, batch 79600, train loss 0.840824109017849, max combine score is 0.0
At epoch 119, batch 79800, train loss 0.8269740474224091, max combine score is 0.0
At epoch 119, batch 80000, train loss 0.8183367070555687, max combine score is 0.0
At epoch 119, batch 80000, dev loss is 2.9057754145728216
At epoch 120, batch 80200, train loss 0.8198282331228256, max combine score is 0.0
At epoch 120, batch 80400, train loss 0.8254619047045708, max combine score is 0.0
At epoch 120, batch 80600, train loss 0.8263852261006832, max combine score is 0.0
At epoch 121, batch 80800, train loss 0.8194086414575577, max combine score is 0.0
At epoch 121, batch 81000, train loss 0.7946152570843696, max combine score is 0.0
At epoch 121, batch 81200, train loss 0.8121914663910865, max combine score is 0.0
At epoch 122, batch 81400, train loss 0.8059189566969871, max combine score is 0.0
At epoch 122, batch 81600, train loss 0.8065532153844833, max combine score is 0.0
At epoch 122, batch 81800, train loss 0.7959478214383126, max combine score is 0.0
At epoch 122, batch 82000, train loss 0.797712032943964, max combine score is 0.0
At epoch 122, batch 82000, dev loss is 2.935122595893012
At epoch 123, batch 82200, train loss 0.7818404367566109, max combine score is 0.0
At epoch 123, batch 82400, train loss 0.7895604774355889, max combine score is 0.0
At epoch 123, batch 82600, train loss 0.7874796399474144, max combine score is 0.0
At epoch 124, batch 82800, train loss 0.7857913613319397, max combine score is 0.0
At epoch 124, batch 83000, train loss 0.7995287382602692, max combine score is 0.0
At epoch 124, batch 83200, train loss 0.7818422847986222, max combine score is 0.0
At epoch 125, batch 83400, train loss 0.7863354793190956, max combine score is 0.0
At epoch 125, batch 83600, train loss 0.7926812997460365, max combine score is 0.0
At epoch 125, batch 83800, train loss 0.7735230696201324, max combine score is 0.0
At epoch 125, batch 84000, train loss 0.7713746362924576, max combine score is 0.0
At epoch 125, batch 84000, dev loss is 2.9724730120764837
At epoch 126, batch 84200, train loss 0.7783313551545143, max combine score is 0.0
At epoch 126, batch 84400, train loss 0.7702225798368454, max combine score is 0.0
At epoch 126, batch 84600, train loss 0.7737620586156845, max combine score is 0.0
At epoch 127, batch 84800, train loss 0.7647056773304939, max combine score is 0.0
At epoch 127, batch 85000, train loss 0.763643070757389, max combine score is 0.0
At epoch 127, batch 85200, train loss 0.7669202633202076, max combine score is 0.0
At epoch 128, batch 85400, train loss 0.7469114395976066, max combine score is 0.0
At epoch 128, batch 85600, train loss 0.7512950649857522, max combine score is 0.0
At epoch 128, batch 85800, train loss 0.7538960480690002, max combine score is 0.0
At epoch 128, batch 86000, train loss 0.7456501656770707, max combine score is 0.0
At epoch 128, batch 86000, dev loss is 2.9945124785105386
At epoch 129, batch 86200, train loss 0.7432242062687874, max combine score is 0.0
At epoch 129, batch 86400, train loss 0.7365132565796375, max combine score is 0.0
At epoch 129, batch 86600, train loss 0.7314786431193352, max combine score is 0.0
At epoch 130, batch 86800, train loss 0.7211492283642292, max combine score is 0.0
At epoch 130, batch 87000, train loss 0.7413507816195488, max combine score is 0.0
At epoch 130, batch 87200, train loss 0.7306251373887062, max combine score is 0.0
At epoch 131, batch 87400, train loss 0.7407142955064774, max combine score is 0.0
At epoch 131, batch 87600, train loss 0.7243629205226898, max combine score is 0.0
At epoch 131, batch 87800, train loss 0.7104448941349983, max combine score is 0.0
At epoch 131, batch 88000, train loss 0.7169139383733273, max combine score is 0.0
At epoch 131, batch 88000, dev loss is 3.035995774798923
At epoch 132, batch 88200, train loss 0.7195509667694568, max combine score is 0.0
At epoch 132, batch 88400, train loss 0.7296252335608006, max combine score is 0.0
At epoch 132, batch 88600, train loss 0.7177520549297333, max combine score is 0.0
At epoch 133, batch 88800, train loss 0.7174633786082267, max combine score is 0.0
At epoch 133, batch 89000, train loss 0.7054955980181694, max combine score is 0.0
At epoch 133, batch 89200, train loss 0.716448192447424, max combine score is 0.0
At epoch 134, batch 89400, train loss 0.7077304148674011, max combine score is 0.0
At epoch 134, batch 89600, train loss 0.684778758585453, max combine score is 0.0
At epoch 134, batch 89800, train loss 0.700622446835041, max combine score is 0.0
At epoch 134, batch 90000, train loss 0.6944193933904171, max combine score is 0.0
At epoch 134, batch 90000, dev loss is 3.086454259024726
At epoch 135, batch 90200, train loss 0.6987469182908534, max combine score is 0.0
At epoch 135, batch 90400, train loss 0.6981387513875962, max combine score is 0.0
At epoch 135, batch 90600, train loss 0.6897169332206249, max combine score is 0.0
At epoch 136, batch 90800, train loss 0.6850986395776272, max combine score is 0.0
At epoch 136, batch 91000, train loss 0.6808821921050549, max combine score is 0.0
At epoch 136, batch 91200, train loss 0.6845969392359257, max combine score is 0.0
At epoch 137, batch 91400, train loss 0.6835555140674114, max combine score is 0.0
At epoch 137, batch 91600, train loss 0.6855690903961659, max combine score is 0.0
At epoch 137, batch 91800, train loss 0.6674739971756936, max combine score is 0.0
At epoch 137, batch 92000, train loss 0.6725489455461502, max combine score is 0.0
At epoch 137, batch 92000, dev loss is 3.1152347723642984
At epoch 138, batch 92200, train loss 0.6854662345349789, max combine score is 0.0
At epoch 138, batch 92400, train loss 0.6751490616798401, max combine score is 0.0
At epoch 138, batch 92600, train loss 0.6657380013167858, max combine score is 0.0
At epoch 139, batch 92800, train loss 0.6591634315252304, max combine score is 0.0
At epoch 139, batch 93000, train loss 0.6637319493293762, max combine score is 0.0
At epoch 139, batch 93200, train loss 0.671102714985609, max combine score is 0.0
At epoch 140, batch 93400, train loss 0.6594122597575187, max combine score is 0.0
At epoch 140, batch 93600, train loss 0.6492079710960388, max combine score is 0.0
At epoch 140, batch 93800, train loss 0.6492671540379524, max combine score is 0.0
At epoch 140, batch 94000, train loss 0.6431228201091289, max combine score is 0.0
At epoch 140, batch 94000, dev loss is 3.1611613167656794
At epoch 141, batch 94200, train loss 0.6544071599841118, max combine score is 0.0
At epoch 141, batch 94400, train loss 0.6538287088274956, max combine score is 0.0
At epoch 141, batch 94600, train loss 0.6530205872654915, max combine score is 0.0
At epoch 142, batch 94800, train loss 0.651006286740303, max combine score is 0.0
At epoch 142, batch 95000, train loss 0.642156223654747, max combine score is 0.0
At epoch 142, batch 95200, train loss 0.6351152853667736, max combine score is 0.0
At epoch 143, batch 95400, train loss 0.6349617187678814, max combine score is 0.0
At epoch 143, batch 95600, train loss 0.637091418504715, max combine score is 0.0
At epoch 143, batch 95800, train loss 0.631969828158617, max combine score is 0.0
At epoch 143, batch 96000, train loss 0.626974512040615, max combine score is 0.0
At epoch 143, batch 96000, dev loss is 3.1925049357944064
At epoch 144, batch 96200, train loss 0.6254776465892792, max combine score is 0.0
At epoch 144, batch 96400, train loss 0.633238345682621, max combine score is 0.0
At epoch 144, batch 96600, train loss 0.6246520495414734, max combine score is 0.0
At epoch 145, batch 96800, train loss 0.6151246760785579, max combine score is 0.0
At epoch 145, batch 97000, train loss 0.6108332623541355, max combine score is 0.0
At epoch 145, batch 97200, train loss 0.6075370244681835, max combine score is 0.0
At epoch 146, batch 97400, train loss 0.6154781058430672, max combine score is 0.0
At epoch 146, batch 97600, train loss 0.6190476080775261, max combine score is 0.0
At epoch 146, batch 97800, train loss 0.6129663178324699, max combine score is 0.0
At epoch 146, batch 98000, train loss 0.6067506980895996, max combine score is 0.0
At epoch 146, batch 98000, dev loss is 3.2448474301232233
At epoch 147, batch 98200, train loss 0.6118942837417126, max combine score is 0.0
At epoch 147, batch 98400, train loss 0.6106912949681282, max combine score is 0.0
At epoch 147, batch 98600, train loss 0.5939814952015877, max combine score is 0.0
At epoch 148, batch 98800, train loss 0.6031396940350533, max combine score is 0.0
At epoch 148, batch 99000, train loss 0.5981598319113255, max combine score is 0.0
At epoch 148, batch 99200, train loss 0.5946893501281738, max combine score is 0.0
At epoch 149, batch 99400, train loss 0.597761295735836, max combine score is 0.0
At epoch 149, batch 99600, train loss 0.5895005474984646, max combine score is 0.0
At epoch 149, batch 99800, train loss 0.5923545932769776, max combine score is 0.0
At epoch 149, batch 100000, train loss 0.585715859234333, max combine score is 0.0
At epoch 149, batch 100000, dev loss is 3.287738217247857
At epoch 150, batch 100200, train loss 0.583351527005434, max combine score is 0.0
At epoch 150, batch 100400, train loss 0.5825135825574398, max combine score is 0.0
At epoch 150, batch 100600, train loss 0.5816642692685128, max combine score is 0.0
At epoch 151, batch 100800, train loss 0.5774033457040787, max combine score is 0.0
At epoch 151, batch 101000, train loss 0.578837950527668, max combine score is 0.0
At epoch 151, batch 101200, train loss 0.582527137696743, max combine score is 0.0
At epoch 152, batch 101400, train loss 0.5776312589645386, max combine score is 0.0
At epoch 152, batch 101600, train loss 0.5800211200118065, max combine score is 0.0
At epoch 152, batch 101800, train loss 0.5712359754741192, max combine score is 0.0
At epoch 152, batch 102000, train loss 0.5700671349465847, max combine score is 0.0
At epoch 152, batch 102000, dev loss is 3.276056024763319
At epoch 153, batch 102200, train loss 0.5704415835440159, max combine score is 0.0
At epoch 153, batch 102400, train loss 0.5626798294484615, max combine score is 0.0
At epoch 153, batch 102600, train loss 0.5609575524926186, max combine score is 0.0
At epoch 154, batch 102800, train loss 0.553500693589449, max combine score is 0.0
At epoch 154, batch 103000, train loss 0.5612840628623963, max combine score is 0.0
At epoch 154, batch 103200, train loss 0.5636688090860844, max combine score is 0.0
At epoch 155, batch 103400, train loss 0.5600597147643566, max combine score is 0.0
At epoch 155, batch 103600, train loss 0.5495079742372035, max combine score is 0.0
At epoch 155, batch 103800, train loss 0.5449218943715095, max combine score is 0.0
At epoch 155, batch 104000, train loss 0.5407214586436748, max combine score is 0.0
At epoch 155, batch 104000, dev loss is 3.3837246894836426
At epoch 156, batch 104200, train loss 0.5544789999723434, max combine score is 0.0
At epoch 156, batch 104400, train loss 0.5400228129327297, max combine score is 0.0
At epoch 156, batch 104600, train loss 0.5537461018562317, max combine score is 0.0
At epoch 157, batch 104800, train loss 0.5409634706377983, max combine score is 0.0
At epoch 157, batch 105000, train loss 0.5433331954479218, max combine score is 0.0
At epoch 157, batch 105200, train loss 0.535043605864048, max combine score is 0.0
At epoch 158, batch 105400, train loss 0.5312403337657452, max combine score is 0.0
At epoch 158, batch 105600, train loss 0.5337681721150875, max combine score is 0.0
At epoch 158, batch 105800, train loss 0.5381227353215218, max combine score is 0.0
At epoch 158, batch 106000, train loss 0.5251823861896991, max combine score is 0.0
At epoch 158, batch 106000, dev loss is 3.3878648810916476
At epoch 159, batch 106200, train loss 0.5205092072486878, max combine score is 0.0
At epoch 159, batch 106400, train loss 0.515529050976038, max combine score is 0.0
At epoch 159, batch 106600, train loss 0.5290038070082664, max combine score is 0.0
At epoch 160, batch 106800, train loss 0.5311029343307019, max combine score is 0.0
At epoch 160, batch 107000, train loss 0.5232952629029751, max combine score is 0.0
At epoch 160, batch 107200, train loss 0.5119981336593628, max combine score is 0.0
At epoch 161, batch 107400, train loss 0.5334893876314163, max combine score is 0.0
At epoch 161, batch 107600, train loss 0.518846378326416, max combine score is 0.0
At epoch 161, batch 107800, train loss 0.509165882319212, max combine score is 0.0
At epoch 161, batch 108000, train loss 0.511357222944498, max combine score is 0.0
At epoch 161, batch 108000, dev loss is 3.4161046346028647
At epoch 162, batch 108200, train loss 0.5114579828083515, max combine score is 0.0
At epoch 162, batch 108400, train loss 0.5164784397184848, max combine score is 0.0
At epoch 162, batch 108600, train loss 0.5129760420322418, max combine score is 0.0
At epoch 163, batch 108800, train loss 0.4984200614690781, max combine score is 0.0
At epoch 163, batch 109000, train loss 0.5067707912623882, max combine score is 0.0
At epoch 163, batch 109200, train loss 0.49647389754652976, max combine score is 0.0
At epoch 164, batch 109400, train loss 0.49556867122650144, max combine score is 0.0
At epoch 164, batch 109600, train loss 0.5125449965894222, max combine score is 0.0
At epoch 164, batch 109800, train loss 0.4928115238249302, max combine score is 0.0
At epoch 164, batch 110000, train loss 0.4907131862640381, max combine score is 0.0
At epoch 164, batch 110000, dev loss is 3.462044768863254
At epoch 165, batch 110200, train loss 0.502425807416439, max combine score is 0.0
At epoch 165, batch 110400, train loss 0.4969920030236244, max combine score is 0.0
At epoch 165, batch 110600, train loss 0.48966615825891496, max combine score is 0.0
At epoch 166, batch 110800, train loss 0.49952534809708593, max combine score is 0.0
At epoch 166, batch 111000, train loss 0.488007150888443, max combine score is 0.0
At epoch 166, batch 111200, train loss 0.4811242124438286, max combine score is 0.0
At epoch 167, batch 111400, train loss 0.48314715072512626, max combine score is 0.0
At epoch 167, batch 111600, train loss 0.4887042059004307, max combine score is 0.0
At epoch 167, batch 111800, train loss 0.48814533069729804, max combine score is 0.0
At epoch 167, batch 112000, train loss 0.4847958171367645, max combine score is 0.0
At epoch 167, batch 112000, dev loss is 3.508280038833618
At epoch 168, batch 112200, train loss 0.47193627700209617, max combine score is 0.0
At epoch 168, batch 112400, train loss 0.46593702867627146, max combine score is 0.0
At epoch 168, batch 112600, train loss 0.4757637743651867, max combine score is 0.0
At epoch 169, batch 112800, train loss 0.47378093242645264, max combine score is 0.0
At epoch 169, batch 113000, train loss 0.4724197010695934, max combine score is 0.0
At epoch 169, batch 113200, train loss 0.47486958995461465, max combine score is 0.0
At epoch 170, batch 113400, train loss 0.4659353859722614, max combine score is 0.0
At epoch 170, batch 113600, train loss 0.47263228565454485, max combine score is 0.0
At epoch 170, batch 113800, train loss 0.47505523294210433, max combine score is 0.0
At epoch 170, batch 114000, train loss 0.463577016890049, max combine score is 0.0
At epoch 170, batch 114000, dev loss is 3.5289778444502087
At epoch 171, batch 114200, train loss 0.4619481283426285, max combine score is 0.0
At epoch 171, batch 114400, train loss 0.46220449805259706, max combine score is 0.0
At epoch 171, batch 114600, train loss 0.4562120446562767, max combine score is 0.0
At epoch 172, batch 114800, train loss 0.4539534403383732, max combine score is 0.0
At epoch 172, batch 115000, train loss 0.45330801665782927, max combine score is 0.0
At epoch 172, batch 115200, train loss 0.4508503711223602, max combine score is 0.0
At epoch 173, batch 115400, train loss 0.4498404282331467, max combine score is 0.0
At epoch 173, batch 115600, train loss 0.45498438328504565, max combine score is 0.0
At epoch 173, batch 115800, train loss 0.44315810456871985, max combine score is 0.0
At epoch 173, batch 116000, train loss 0.4456797839701176, max combine score is 0.0
At epoch 173, batch 116000, dev loss is 3.572293996810913
At epoch 174, batch 116200, train loss 0.44792041555047035, max combine score is 0.0
At epoch 174, batch 116400, train loss 0.45006496503949167, max combine score is 0.0
At epoch 174, batch 116600, train loss 0.4437266167998314, max combine score is 0.0
At epoch 175, batch 116800, train loss 0.44588985070586207, max combine score is 0.0
At epoch 175, batch 117000, train loss 0.44791364029049874, max combine score is 0.0
At epoch 175, batch 117200, train loss 0.43472031742334366, max combine score is 0.0
At epoch 176, batch 117400, train loss 0.4381550031900406, max combine score is 0.0
At epoch 176, batch 117600, train loss 0.433400853574276, max combine score is 0.0
At epoch 176, batch 117800, train loss 0.43286572247743604, max combine score is 0.0
At epoch 176, batch 118000, train loss 0.43218875259160994, max combine score is 0.0
At epoch 176, batch 118000, dev loss is 3.6144489182366266
At epoch 177, batch 118200, train loss 0.4301499757170677, max combine score is 0.0
At epoch 177, batch 118400, train loss 0.4272734725475311, max combine score is 0.0
At epoch 177, batch 118600, train loss 0.43186073273420333, max combine score is 0.0
At epoch 178, batch 118800, train loss 0.4245453616976738, max combine score is 0.0
At epoch 178, batch 119000, train loss 0.4370357248187065, max combine score is 0.0
At epoch 178, batch 119200, train loss 0.42848965868353844, max combine score is 0.0
At epoch 179, batch 119400, train loss 0.4319769720733166, max combine score is 0.0
At epoch 179, batch 119600, train loss 0.42567354649305345, max combine score is 0.0
At epoch 179, batch 119800, train loss 0.4126509586721659, max combine score is 0.0
At epoch 179, batch 120000, train loss 0.41314329981803893, max combine score is 0.0
At epoch 179, batch 120000, dev loss is 3.684308820300632
At epoch 180, batch 120200, train loss 0.42138670101761816, max combine score is 0.0
At epoch 180, batch 120400, train loss 0.4233253093063831, max combine score is 0.0
At epoch 180, batch 120600, train loss 0.41855646088719367, max combine score is 0.0
At epoch 181, batch 120800, train loss 0.41640361562371253, max combine score is 0.0
At epoch 181, batch 121000, train loss 0.4149773634970188, max combine score is 0.0
At epoch 181, batch 121200, train loss 0.4099545917659998, max combine score is 0.0
At epoch 182, batch 121400, train loss 0.41467819169163705, max combine score is 0.0
At epoch 182, batch 121600, train loss 0.4130037823319435, max combine score is 0.0
At epoch 182, batch 121800, train loss 0.40228207990527154, max combine score is 0.0
At epoch 182, batch 122000, train loss 0.40778820365667345, max combine score is 0.0
At epoch 182, batch 122000, dev loss is 3.7056821717156305
At epoch 183, batch 122200, train loss 0.3995907674729824, max combine score is 0.0
At epoch 183, batch 122400, train loss 0.4009553562104702, max combine score is 0.0
At epoch 183, batch 122600, train loss 0.4044812746345997, max combine score is 0.0
At epoch 184, batch 122800, train loss 0.4006773342192173, max combine score is 0.0
At epoch 184, batch 123000, train loss 0.39375862181186677, max combine score is 0.0
At epoch 184, batch 123200, train loss 0.396098186224699, max combine score is 0.0
At epoch 185, batch 123400, train loss 0.3946729211509228, max combine score is 0.0
At epoch 185, batch 123600, train loss 0.3869720829278231, max combine score is 0.0
At epoch 185, batch 123800, train loss 0.39690010145306587, max combine score is 0.0
At epoch 185, batch 124000, train loss 0.3952994178980589, max combine score is 0.0
At epoch 185, batch 124000, dev loss is 3.753335608376397
At epoch 186, batch 124200, train loss 0.3874013436585665, max combine score is 0.0
At epoch 186, batch 124400, train loss 0.3924934743344784, max combine score is 0.0
At epoch 186, batch 124600, train loss 0.39312190279364584, max combine score is 0.0
At epoch 187, batch 124800, train loss 0.3919877140969038, max combine score is 0.0
At epoch 187, batch 125000, train loss 0.3791795960068703, max combine score is 0.0
At epoch 187, batch 125200, train loss 0.38983312010765075, max combine score is 0.0
At epoch 188, batch 125400, train loss 0.380573948174715, max combine score is 0.0
At epoch 188, batch 125600, train loss 0.38462451606988907, max combine score is 0.0
At epoch 188, batch 125800, train loss 0.38594061449170114, max combine score is 0.0
At epoch 188, batch 126000, train loss 0.38048112846910953, max combine score is 0.0
At epoch 188, batch 126000, dev loss is 3.8147817187839084
At epoch 189, batch 126200, train loss 0.37359982438385486, max combine score is 0.0
At epoch 189, batch 126400, train loss 0.38220743626356124, max combine score is 0.0
At epoch 189, batch 126600, train loss 0.371548720523715, max combine score is 0.0
At epoch 190, batch 126800, train loss 0.3767313374578953, max combine score is 0.0
At epoch 190, batch 127000, train loss 0.3775652124732733, max combine score is 0.0
At epoch 190, batch 127200, train loss 0.3749774342030287, max combine score is 0.0
At epoch 191, batch 127400, train loss 0.37096731662750243, max combine score is 0.0
At epoch 191, batch 127600, train loss 0.3739496222138405, max combine score is 0.0
At epoch 191, batch 127800, train loss 0.3660132360458374, max combine score is 0.0
At epoch 191, batch 128000, train loss 0.37138134993612765, max combine score is 0.0
At epoch 191, batch 128000, dev loss is 3.838645431730482
At epoch 192, batch 128200, train loss 0.3718939035385847, max combine score is 0.0
At epoch 192, batch 128400, train loss 0.36500863038003445, max combine score is 0.0
At epoch 192, batch 128600, train loss 0.3588544715940952, max combine score is 0.0
At epoch 193, batch 128800, train loss 0.36759127318859103, max combine score is 0.0
At epoch 193, batch 129000, train loss 0.362977718859911, max combine score is 0.0
At epoch 193, batch 129200, train loss 0.368373344168067, max combine score is 0.0
At epoch 194, batch 129400, train loss 0.35950355492532254, max combine score is 0.0
At epoch 194, batch 129600, train loss 0.3596582007408142, max combine score is 0.0
At epoch 194, batch 129800, train loss 0.36079108573496343, max combine score is 0.0
At epoch 194, batch 130000, train loss 0.35060395777225495, max combine score is 0.0
At epoch 194, batch 130000, dev loss is 3.905862145953708
At epoch 195, batch 130200, train loss 0.3510945089906454, max combine score is 0.0
At epoch 195, batch 130400, train loss 0.3575043311715126, max combine score is 0.0
At epoch 195, batch 130600, train loss 0.34644239477813243, max combine score is 0.0
At epoch 196, batch 130800, train loss 0.34889927417039873, max combine score is 0.0
At epoch 196, batch 131000, train loss 0.35130058839917183, max combine score is 0.0
At epoch 196, batch 131200, train loss 0.34413918942213056, max combine score is 0.0
At epoch 197, batch 131400, train loss 0.3561518336087465, max combine score is 0.0
At epoch 197, batch 131600, train loss 0.3479369791597128, max combine score is 0.0
At epoch 197, batch 131800, train loss 0.35127500362694264, max combine score is 0.0
At epoch 197, batch 132000, train loss 0.34521767020225524, max combine score is 0.0
At epoch 197, batch 132000, dev loss is 3.8758463859558105
At epoch 198, batch 132200, train loss 0.34777348466217517, max combine score is 0.0
At epoch 198, batch 132400, train loss 0.3373188163340092, max combine score is 0.0
At epoch 198, batch 132600, train loss 0.33597545124590394, max combine score is 0.0
At epoch 199, batch 132800, train loss 0.34584899827837945, max combine score is 0.0
At epoch 199, batch 133000, train loss 0.33573859721422195, max combine score is 0.0
At epoch 199, batch 133200, train loss 0.3369001416862011, max combine score is 0.0
At epoch 199, batch 133400, train loss 0.34156419105827807, max combine score is 0.0
At epoch 200, batch 133600, train loss 0.3350585201382637, max combine score is 0.0
At epoch 200, batch 133800, train loss 0.33740514390170573, max combine score is 0.0
At epoch 200, batch 134000, train loss 0.33686821259558203, max combine score is 0.0
At epoch 200, batch 134000, dev loss is 3.948230743408203
At epoch 201, batch 134200, train loss 0.33564472652971744, max combine score is 0.0
At epoch 201, batch 134400, train loss 0.32668121717870235, max combine score is 0.0
At epoch 201, batch 134600, train loss 0.33059005200862884, max combine score is 0.0
At epoch 202, batch 134800, train loss 0.334710196480155, max combine score is 0.0
At epoch 202, batch 135000, train loss 0.3277146802097559, max combine score is 0.0
At epoch 202, batch 135200, train loss 0.3288427806645632, max combine score is 0.0
At epoch 202, batch 135400, train loss 0.3239810726046562, max combine score is 0.0
At epoch 203, batch 135600, train loss 0.32458055928349494, max combine score is 0.0
At epoch 203, batch 135800, train loss 0.3261700050532818, max combine score is 0.0
At epoch 203, batch 136000, train loss 0.3209592109918594, max combine score is 0.0
At epoch 203, batch 136000, dev loss is 3.9599733882480197
At epoch 204, batch 136200, train loss 0.3249423808604479, max combine score is 0.0
At epoch 204, batch 136400, train loss 0.32523053608834745, max combine score is 0.0
At epoch 204, batch 136600, train loss 0.3183080736547709, max combine score is 0.0
At epoch 205, batch 136800, train loss 0.3241854786127806, max combine score is 0.0
At epoch 205, batch 137000, train loss 0.3193349844962359, max combine score is 0.0
At epoch 205, batch 137200, train loss 0.3170949103683233, max combine score is 0.0
At epoch 205, batch 137400, train loss 0.312305748462677, max combine score is 0.0
At epoch 206, batch 137600, train loss 0.31813376836478713, max combine score is 0.0
At epoch 206, batch 137800, train loss 0.3122788614034653, max combine score is 0.0
At epoch 206, batch 138000, train loss 0.3150254172831774, max combine score is 0.0
At epoch 206, batch 138000, dev loss is 4.0042024453481035
At epoch 207, batch 138200, train loss 0.3122277249395847, max combine score is 0.0
At epoch 207, batch 138400, train loss 0.30903090991079807, max combine score is 0.0
At epoch 207, batch 138600, train loss 0.3091460055857897, max combine score is 0.0
At epoch 208, batch 138800, train loss 0.3075030047446489, max combine score is 0.0
At epoch 208, batch 139000, train loss 0.30941948533058167, max combine score is 0.0
At epoch 208, batch 139200, train loss 0.30751073606312274, max combine score is 0.0
At epoch 208, batch 139400, train loss 0.3028417577594519, max combine score is 0.0
At epoch 209, batch 139600, train loss 0.30125296421349046, max combine score is 0.0
At epoch 209, batch 139800, train loss 0.3069180417060852, max combine score is 0.0
At epoch 209, batch 140000, train loss 0.30247885107994077, max combine score is 0.0
At epoch 209, batch 140000, dev loss is 4.028183751636082
At epoch 210, batch 140200, train loss 0.3106881008297205, max combine score is 0.0
At epoch 210, batch 140400, train loss 0.3079642549157143, max combine score is 0.0
At epoch 210, batch 140600, train loss 0.2961752654612064, max combine score is 0.0
At epoch 211, batch 140800, train loss 0.2963207288086414, max combine score is 0.0
At epoch 211, batch 141000, train loss 0.30964230045676233, max combine score is 0.0
At epoch 211, batch 141200, train loss 0.2895508731901646, max combine score is 0.0
At epoch 211, batch 141400, train loss 0.29405459433794023, max combine score is 0.0
At epoch 212, batch 141600, train loss 0.3004829204827547, max combine score is 0.0
At epoch 212, batch 141800, train loss 0.29253065258264543, max combine score is 0.0
At epoch 212, batch 142000, train loss 0.29429975293576716, max combine score is 0.0
At epoch 212, batch 142000, dev loss is 4.137478934393989
At epoch 213, batch 142200, train loss 0.2901876895874739, max combine score is 0.0
At epoch 213, batch 142400, train loss 0.2923726013302803, max combine score is 0.0
At epoch 213, batch 142600, train loss 0.2949035979807377, max combine score is 0.0
At epoch 214, batch 142800, train loss 0.2928643643110991, max combine score is 0.0
At epoch 214, batch 143000, train loss 0.29068363554775717, max combine score is 0.0
At epoch 214, batch 143200, train loss 0.2877848120033741, max combine score is 0.0
At epoch 214, batch 143400, train loss 0.2932880685478449, max combine score is 0.0
At epoch 215, batch 143600, train loss 0.285262685418129, max combine score is 0.0
At epoch 215, batch 143800, train loss 0.2871302240341902, max combine score is 0.0
At epoch 215, batch 144000, train loss 0.2861259400099516, max combine score is 0.0
At epoch 215, batch 144000, dev loss is 4.116683774524265
At epoch 216, batch 144200, train loss 0.2864175772666931, max combine score is 0.0
At epoch 216, batch 144400, train loss 0.2851325956732035, max combine score is 0.0
At epoch 216, batch 144600, train loss 0.28422471933066845, max combine score is 0.0
At epoch 217, batch 144800, train loss 0.28880139596760274, max combine score is 0.0
At epoch 217, batch 145000, train loss 0.28022572614252567, max combine score is 0.0
At epoch 217, batch 145200, train loss 0.2783257584273815, max combine score is 0.0
At epoch 217, batch 145400, train loss 0.2780103453248739, max combine score is 0.0
At epoch 218, batch 145600, train loss 0.2792592404037714, max combine score is 0.0
At epoch 218, batch 145800, train loss 0.28070020049810407, max combine score is 0.0
At epoch 218, batch 146000, train loss 0.27631351426243783, max combine score is 0.0
At epoch 218, batch 146000, dev loss is 4.174639781316121
At epoch 219, batch 146200, train loss 0.2765649647265673, max combine score is 0.0
At epoch 219, batch 146400, train loss 0.2763096377253532, max combine score is 0.0
At epoch 219, batch 146600, train loss 0.27712104432284834, max combine score is 0.0
At epoch 220, batch 146800, train loss 0.2739338030666113, max combine score is 0.0
At epoch 220, batch 147000, train loss 0.2715049102157354, max combine score is 0.0
At epoch 220, batch 147200, train loss 0.2749093767255545, max combine score is 0.0
At epoch 220, batch 147400, train loss 0.27312895506620405, max combine score is 0.0
At epoch 221, batch 147600, train loss 0.2748522084951401, max combine score is 0.0
At epoch 221, batch 147800, train loss 0.27326778046786787, max combine score is 0.0
At epoch 221, batch 148000, train loss 0.27369667939841746, max combine score is 0.0
At epoch 221, batch 148000, dev loss is 4.206403361426459
At epoch 222, batch 148200, train loss 0.27073934905231, max combine score is 0.0
At epoch 222, batch 148400, train loss 0.2659858580678701, max combine score is 0.0
At epoch 222, batch 148600, train loss 0.26663351684808734, max combine score is 0.0
At epoch 223, batch 148800, train loss 0.2724421716481447, max combine score is 0.0
At epoch 223, batch 149000, train loss 0.26599562957882883, max combine score is 0.0
At epoch 223, batch 149200, train loss 0.2619174355268478, max combine score is 0.0
At epoch 223, batch 149400, train loss 0.2586827579885721, max combine score is 0.0
At epoch 224, batch 149600, train loss 0.2628653161972761, max combine score is 0.0
At epoch 224, batch 149800, train loss 0.2619189904630184, max combine score is 0.0
At epoch 224, batch 150000, train loss 0.26322968013584613, max combine score is 0.0
At epoch 224, batch 150000, dev loss is 4.2284091048770485
At epoch 225, batch 150200, train loss 0.2594215729832649, max combine score is 0.0
At epoch 225, batch 150400, train loss 0.2670914251357317, max combine score is 0.0
At epoch 225, batch 150600, train loss 0.26424736477434635, max combine score is 0.0
At epoch 226, batch 150800, train loss 0.25895748324692247, max combine score is 0.0
At epoch 226, batch 151000, train loss 0.2535922542214394, max combine score is 0.0
At epoch 226, batch 151200, train loss 0.256059657856822, max combine score is 0.0
At epoch 226, batch 151400, train loss 0.2592305125296116, max combine score is 0.0
At epoch 227, batch 151600, train loss 0.25243582025170325, max combine score is 0.0
At epoch 227, batch 151800, train loss 0.25678271062672137, max combine score is 0.0
At epoch 227, batch 152000, train loss 0.25154299959540366, max combine score is 0.0
At epoch 227, batch 152000, dev loss is 4.227077907986111
At epoch 228, batch 152200, train loss 0.2522972559928894, max combine score is 0.0
At epoch 228, batch 152400, train loss 0.25155433200299737, max combine score is 0.0
At epoch 228, batch 152600, train loss 0.25498737014830114, max combine score is 0.0
At epoch 229, batch 152800, train loss 0.253842768073082, max combine score is 0.0
At epoch 229, batch 153000, train loss 0.24684953734278678, max combine score is 0.0
At epoch 229, batch 153200, train loss 0.24951209641993047, max combine score is 0.0
At epoch 229, batch 153400, train loss 0.25011963784694674, max combine score is 0.0
At epoch 230, batch 153600, train loss 0.2510672417283058, max combine score is 0.0
At epoch 230, batch 153800, train loss 0.24749040886759757, max combine score is 0.0
At epoch 230, batch 154000, train loss 0.24390809692442417, max combine score is 0.0
At epoch 230, batch 154000, dev loss is 4.256615824169582
At epoch 231, batch 154200, train loss 0.24506576493382454, max combine score is 0.0
At epoch 231, batch 154400, train loss 0.24426772259175777, max combine score is 0.0
At epoch 231, batch 154600, train loss 0.24394444301724433, max combine score is 0.0
At epoch 232, batch 154800, train loss 0.238719320371747, max combine score is 0.0
At epoch 232, batch 155000, train loss 0.24349997758865358, max combine score is 0.0
At epoch 232, batch 155200, train loss 0.23852460749447346, max combine score is 0.0
At epoch 232, batch 155400, train loss 0.24114296562969684, max combine score is 0.0
At epoch 233, batch 155600, train loss 0.2411885453015566, max combine score is 0.0
At epoch 233, batch 155800, train loss 0.23935392752289772, max combine score is 0.0
At epoch 233, batch 156000, train loss 0.2414894738793373, max combine score is 0.0
At epoch 233, batch 156000, dev loss is 4.369899140463935
At epoch 234, batch 156200, train loss 0.23635888405144215, max combine score is 0.0
At epoch 234, batch 156400, train loss 0.23867306545376776, max combine score is 0.0
At epoch 234, batch 156600, train loss 0.23387883082032204, max combine score is 0.0
At epoch 235, batch 156800, train loss 0.23909599393606185, max combine score is 0.0
At epoch 235, batch 157000, train loss 0.2390985541790724, max combine score is 0.0
At epoch 235, batch 157200, train loss 0.2347059191763401, max combine score is 0.0
At epoch 235, batch 157400, train loss 0.23440380897372962, max combine score is 0.0
At epoch 236, batch 157600, train loss 0.23548818066716193, max combine score is 0.0
At epoch 236, batch 157800, train loss 0.23517464108765126, max combine score is 0.0
At epoch 236, batch 158000, train loss 0.23700966946780683, max combine score is 0.0
At epoch 236, batch 158000, dev loss is 4.323198556900024
At epoch 237, batch 158200, train loss 0.2331801863759756, max combine score is 0.0
At epoch 237, batch 158400, train loss 0.22735623255372048, max combine score is 0.0
At epoch 237, batch 158600, train loss 0.22964900895953178, max combine score is 0.0
At epoch 238, batch 158800, train loss 0.23266265787184237, max combine score is 0.0
At epoch 238, batch 159000, train loss 0.2343470401316881, max combine score is 0.0
At epoch 238, batch 159200, train loss 0.22687672913074494, max combine score is 0.0
At epoch 238, batch 159400, train loss 0.23086564511060714, max combine score is 0.0
At epoch 239, batch 159600, train loss 0.23001084841787814, max combine score is 0.0
At epoch 239, batch 159800, train loss 0.2268173861503601, max combine score is 0.0
At epoch 239, batch 160000, train loss 0.22979589633643627, max combine score is 0.0
At epoch 239, batch 160000, dev loss is 4.335788567860921
At epoch 240, batch 160200, train loss 0.2262000308185816, max combine score is 0.0
At epoch 240, batch 160400, train loss 0.22489597462117672, max combine score is 0.0
At epoch 240, batch 160600, train loss 0.22819969400763512, max combine score is 0.0
At epoch 241, batch 160800, train loss 0.22531869620084763, max combine score is 0.0
At epoch 241, batch 161000, train loss 0.21818347990512849, max combine score is 0.0
At epoch 241, batch 161200, train loss 0.22655223183333872, max combine score is 0.0
At epoch 241, batch 161400, train loss 0.22375956490635873, max combine score is 0.0
At epoch 242, batch 161600, train loss 0.22444149561226368, max combine score is 0.0
At epoch 242, batch 161800, train loss 0.2235583843290806, max combine score is 0.0
At epoch 242, batch 162000, train loss 0.22754283048212529, max combine score is 0.0
At epoch 242, batch 162000, dev loss is 4.364730596542358
At epoch 243, batch 162200, train loss 0.21944215960800648, max combine score is 0.0
At epoch 243, batch 162400, train loss 0.22064984284341335, max combine score is 0.0
At epoch 243, batch 162600, train loss 0.21923594892024995, max combine score is 0.0
At epoch 244, batch 162800, train loss 0.21988902896642684, max combine score is 0.0
At epoch 244, batch 163000, train loss 0.21362303651869297, max combine score is 0.0
At epoch 244, batch 163200, train loss 0.2173336163163185, max combine score is 0.0
At epoch 244, batch 163400, train loss 0.2182365131378174, max combine score is 0.0
At epoch 245, batch 163600, train loss 0.21635853946208955, max combine score is 0.0
At epoch 245, batch 163800, train loss 0.21361464940011501, max combine score is 0.0
At epoch 245, batch 164000, train loss 0.21746842317283155, max combine score is 0.0
At epoch 245, batch 164000, dev loss is 4.412420299318102
At epoch 246, batch 164200, train loss 0.21615290336310863, max combine score is 0.0
At epoch 246, batch 164400, train loss 0.21953314840793609, max combine score is 0.0
At epoch 246, batch 164600, train loss 0.21128600381314755, max combine score is 0.0
At epoch 247, batch 164800, train loss 0.21266030609607697, max combine score is 0.0
At epoch 247, batch 165000, train loss 0.21346225462853907, max combine score is 0.0
At epoch 247, batch 165200, train loss 0.2110491293668747, max combine score is 0.0
At epoch 247, batch 165400, train loss 0.2086904563754797, max combine score is 0.0
At epoch 248, batch 165600, train loss 0.21123455945402383, max combine score is 0.0
At epoch 248, batch 165800, train loss 0.21020376417785883, max combine score is 0.0
At epoch 248, batch 166000, train loss 0.21129411861300468, max combine score is 0.0
At epoch 248, batch 166000, dev loss is 4.447631332609388
At epoch 249, batch 166200, train loss 0.2091340520977974, max combine score is 0.0
At epoch 249, batch 166400, train loss 0.21181684143841267, max combine score is 0.0
At epoch 249, batch 166600, train loss 0.21229790538549423, max combine score is 0.0
At epoch 250, batch 166800, train loss 0.20606620512902737, max combine score is 0.0
At epoch 250, batch 167000, train loss 0.20878237411379813, max combine score is 0.0
At epoch 250, batch 167200, train loss 0.20678580105304717, max combine score is 0.0
At epoch 250, batch 167400, train loss 0.20713453616946936, max combine score is 0.0
At epoch 251, batch 167600, train loss 0.20954072508960964, max combine score is 0.0
At epoch 251, batch 167800, train loss 0.202738626152277, max combine score is 0.0
At epoch 251, batch 168000, train loss 0.20350705303251743, max combine score is 0.0
At epoch 251, batch 168000, dev loss is 4.488354020648533
At epoch 252, batch 168200, train loss 0.20515511080622673, max combine score is 0.0
At epoch 252, batch 168400, train loss 0.19818321853876114, max combine score is 0.0
At epoch 252, batch 168600, train loss 0.20307600896805525, max combine score is 0.0
At epoch 253, batch 168800, train loss 0.2053660973533988, max combine score is 0.0
At epoch 253, batch 169000, train loss 0.2032778988778591, max combine score is 0.0
At epoch 253, batch 169200, train loss 0.19990109976381062, max combine score is 0.0
At epoch 253, batch 169400, train loss 0.20428653236478567, max combine score is 0.0
At epoch 254, batch 169600, train loss 0.20322953425347806, max combine score is 0.0
At epoch 254, batch 169800, train loss 0.20343645945191383, max combine score is 0.0
At epoch 254, batch 170000, train loss 0.19683722510933876, max combine score is 0.0
At epoch 254, batch 170000, dev loss is 4.541167524125841
At epoch 255, batch 170200, train loss 0.20144235357642173, max combine score is 0.0
At epoch 255, batch 170400, train loss 0.20152812622487545, max combine score is 0.0
At epoch 255, batch 170600, train loss 0.19694712944328785, max combine score is 0.0
At epoch 256, batch 170800, train loss 0.19652994588017464, max combine score is 0.0
At epoch 256, batch 171000, train loss 0.19679438758641482, max combine score is 0.0
At epoch 256, batch 171200, train loss 0.1992554810270667, max combine score is 0.0
At epoch 256, batch 171400, train loss 0.19420568518340586, max combine score is 0.0
At epoch 257, batch 171600, train loss 0.19940450504422189, max combine score is 0.0
At epoch 257, batch 171800, train loss 0.19456256330013275, max combine score is 0.0
At epoch 257, batch 172000, train loss 0.19598768174648284, max combine score is 0.0
At epoch 257, batch 172000, dev loss is 4.528159168031481
At epoch 258, batch 172200, train loss 0.19473703488707542, max combine score is 0.0
At epoch 258, batch 172400, train loss 0.19930577393621207, max combine score is 0.0
At epoch 258, batch 172600, train loss 0.19092986434698106, max combine score is 0.0
At epoch 259, batch 172800, train loss 0.18955819722265005, max combine score is 0.0
At epoch 259, batch 173000, train loss 0.1954193228855729, max combine score is 0.0
At epoch 259, batch 173200, train loss 0.19417142461985348, max combine score is 0.0
At epoch 259, batch 173400, train loss 0.1934678952395916, max combine score is 0.0
At epoch 260, batch 173600, train loss 0.19236315347254276, max combine score is 0.0
At epoch 260, batch 173800, train loss 0.19114980760961772, max combine score is 0.0
At epoch 260, batch 174000, train loss 0.19027543511241674, max combine score is 0.0
At epoch 260, batch 174000, dev loss is 4.594733423656887
At epoch 261, batch 174200, train loss 0.1873471784219146, max combine score is 0.0
At epoch 261, batch 174400, train loss 0.18992643095552922, max combine score is 0.0
At epoch 261, batch 174600, train loss 0.19221694201231002, max combine score is 0.0
At epoch 262, batch 174800, train loss 0.19252919152379036, max combine score is 0.0
At epoch 262, batch 175000, train loss 0.1875189071893692, max combine score is 0.0
At epoch 262, batch 175200, train loss 0.19081847425550222, max combine score is 0.0
At epoch 262, batch 175400, train loss 0.1885056407749653, max combine score is 0.0
At epoch 263, batch 175600, train loss 0.1868785523250699, max combine score is 0.0
At epoch 263, batch 175800, train loss 0.186847358122468, max combine score is 0.0
At epoch 263, batch 176000, train loss 0.1841200118139386, max combine score is 0.0
At epoch 263, batch 176000, dev loss is 4.611172278722127
At epoch 264, batch 176200, train loss 0.18683415036648512, max combine score is 0.0
At epoch 264, batch 176400, train loss 0.18493909001350403, max combine score is 0.0
At epoch 264, batch 176600, train loss 0.1822698337212205, max combine score is 0.0
At epoch 265, batch 176800, train loss 0.18119037378579378, max combine score is 0.0
At epoch 265, batch 177000, train loss 0.1871584015339613, max combine score is 0.0
At epoch 265, batch 177200, train loss 0.1843873658031225, max combine score is 0.0
At epoch 265, batch 177400, train loss 0.18149658486247064, max combine score is 0.0
At epoch 266, batch 177600, train loss 0.17850171495229006, max combine score is 0.0
At epoch 266, batch 177800, train loss 0.18111599419265986, max combine score is 0.0
At epoch 266, batch 178000, train loss 0.17945565205067396, max combine score is 0.0
At epoch 266, batch 178000, dev loss is 4.643837557898627
At epoch 267, batch 178200, train loss 0.17790752593427897, max combine score is 0.0
At epoch 267, batch 178400, train loss 0.1803788786008954, max combine score is 0.0
At epoch 267, batch 178600, train loss 0.17723446466028692, max combine score is 0.0
At epoch 268, batch 178800, train loss 0.18063368920236825, max combine score is 0.0
At epoch 268, batch 179000, train loss 0.17982321590185166, max combine score is 0.0
At epoch 268, batch 179200, train loss 0.18061421662569047, max combine score is 0.0
At epoch 268, batch 179400, train loss 0.1781009168550372, max combine score is 0.0
At epoch 269, batch 179600, train loss 0.17886499878019094, max combine score is 0.0
At epoch 269, batch 179800, train loss 0.17982242833822965, max combine score is 0.0
At epoch 269, batch 180000, train loss 0.18162500545382498, max combine score is 0.0
At epoch 269, batch 180000, dev loss is 4.630987856123182
At epoch 270, batch 180200, train loss 0.17339785896241666, max combine score is 0.0
At epoch 270, batch 180400, train loss 0.1701389542967081, max combine score is 0.0
At epoch 270, batch 180600, train loss 0.1767582371085882, max combine score is 0.0
At epoch 271, batch 180800, train loss 0.17720347434282302, max combine score is 0.0
At epoch 271, batch 181000, train loss 0.1767626452445984, max combine score is 0.0
At epoch 271, batch 181200, train loss 0.1755410670489073, max combine score is 0.0
At epoch 271, batch 181400, train loss 0.17692370638251304, max combine score is 0.0
At epoch 272, batch 181600, train loss 0.17472644176334143, max combine score is 0.0
At epoch 272, batch 181800, train loss 0.17689820758998395, max combine score is 0.0
At epoch 272, batch 182000, train loss 0.1738332399725914, max combine score is 0.0
At epoch 272, batch 182000, dev loss is 4.664860990312365
At epoch 273, batch 182200, train loss 0.17172962572425604, max combine score is 0.0
At epoch 273, batch 182400, train loss 0.1728170957416296, max combine score is 0.0
At epoch 273, batch 182600, train loss 0.17289134327322245, max combine score is 0.0
At epoch 274, batch 182800, train loss 0.1706654468551278, max combine score is 0.0
At epoch 274, batch 183000, train loss 0.16975479014217854, max combine score is 0.0
At epoch 274, batch 183200, train loss 0.1692596459761262, max combine score is 0.0
At epoch 274, batch 183400, train loss 0.170957116112113, max combine score is 0.0
At epoch 275, batch 183600, train loss 0.17012190222740173, max combine score is 0.0
At epoch 275, batch 183800, train loss 0.16849907834082842, max combine score is 0.0
At epoch 275, batch 184000, train loss 0.17042039234191178, max combine score is 0.0
At epoch 275, batch 184000, dev loss is 4.716796875
At epoch 276, batch 184200, train loss 0.16832027394324542, max combine score is 0.0
At epoch 276, batch 184400, train loss 0.17031261205673218, max combine score is 0.0
At epoch 276, batch 184600, train loss 0.1714196552708745, max combine score is 0.0
At epoch 277, batch 184800, train loss 0.1672621527686715, max combine score is 0.0
At epoch 277, batch 185000, train loss 0.17114484172314406, max combine score is 0.0
At epoch 277, batch 185200, train loss 0.1711286800354719, max combine score is 0.0
At epoch 277, batch 185400, train loss 0.16782526321709157, max combine score is 0.0
At epoch 278, batch 185600, train loss 0.16738525062799453, max combine score is 0.0
At epoch 278, batch 185800, train loss 0.16398702912032603, max combine score is 0.0
At epoch 278, batch 186000, train loss 0.1650640629976988, max combine score is 0.0
At epoch 278, batch 186000, dev loss is 4.743580606248644
At epoch 279, batch 186200, train loss 0.1668711158260703, max combine score is 0.0
At epoch 279, batch 186400, train loss 0.16453671295195818, max combine score is 0.0
At epoch 279, batch 186600, train loss 0.16610306225717067, max combine score is 0.0
At epoch 280, batch 186800, train loss 0.16605497010052203, max combine score is 0.0
At epoch 280, batch 187000, train loss 0.1648890969529748, max combine score is 0.0
At epoch 280, batch 187200, train loss 0.16347396224737168, max combine score is 0.0
At epoch 280, batch 187400, train loss 0.16315310310572387, max combine score is 0.0
At epoch 281, batch 187600, train loss 0.1620098214223981, max combine score is 0.0
At epoch 281, batch 187800, train loss 0.1653104343637824, max combine score is 0.0
At epoch 281, batch 188000, train loss 0.16473085965961218, max combine score is 0.0
At epoch 281, batch 188000, dev loss is 4.70110543568929
At epoch 282, batch 188200, train loss 0.1622106670588255, max combine score is 0.0
At epoch 282, batch 188400, train loss 0.15939039692282678, max combine score is 0.0
At epoch 282, batch 188600, train loss 0.1620158749818802, max combine score is 0.0
At epoch 283, batch 188800, train loss 0.1642411658912897, max combine score is 0.0
At epoch 283, batch 189000, train loss 0.16097605898976325, max combine score is 0.0
At epoch 283, batch 189200, train loss 0.16188088096678258, max combine score is 0.0
At epoch 283, batch 189400, train loss 0.1633529319986701, max combine score is 0.0
At epoch 284, batch 189600, train loss 0.15971619699150325, max combine score is 0.0
At epoch 284, batch 189800, train loss 0.15906372897326945, max combine score is 0.0
At epoch 284, batch 190000, train loss 0.15725011706352235, max combine score is 0.0
At epoch 284, batch 190000, dev loss is 4.755575338999431
At epoch 285, batch 190200, train loss 0.15836398620158434, max combine score is 0.0
At epoch 285, batch 190400, train loss 0.16109892144799232, max combine score is 0.0
At epoch 285, batch 190600, train loss 0.15814309656620026, max combine score is 0.0
At epoch 286, batch 190800, train loss 0.15744101274758576, max combine score is 0.0
At epoch 286, batch 191000, train loss 0.1587860045209527, max combine score is 0.0
At epoch 286, batch 191200, train loss 0.15848015274852514, max combine score is 0.0
At epoch 286, batch 191400, train loss 0.15478334456682205, max combine score is 0.0
At epoch 287, batch 191600, train loss 0.15604959893971682, max combine score is 0.0
At epoch 287, batch 191800, train loss 0.15478885598480702, max combine score is 0.0
At epoch 287, batch 192000, train loss 0.15632595684379338, max combine score is 0.0
At epoch 287, batch 192000, dev loss is 4.797444317075941
At epoch 288, batch 192200, train loss 0.15998461425304414, max combine score is 0.0
At epoch 288, batch 192400, train loss 0.15535718288272618, max combine score is 0.0
At epoch 288, batch 192600, train loss 0.15430744506418706, max combine score is 0.0
At epoch 289, batch 192800, train loss 0.1551610203459859, max combine score is 0.0
At epoch 289, batch 193000, train loss 0.15511693581938743, max combine score is 0.0
At epoch 289, batch 193200, train loss 0.15555580262094737, max combine score is 0.0
At epoch 289, batch 193400, train loss 0.15545182038098573, max combine score is 0.0
At epoch 290, batch 193600, train loss 0.15439750790596007, max combine score is 0.0
At epoch 290, batch 193800, train loss 0.1518890827894211, max combine score is 0.0
At epoch 290, batch 194000, train loss 0.15334982078522444, max combine score is 0.0
At epoch 290, batch 194000, dev loss is 4.812829759385851
At epoch 291, batch 194200, train loss 0.15201083272695542, max combine score is 0.0
At epoch 291, batch 194400, train loss 0.154155204705894, max combine score is 0.0
At epoch 291, batch 194600, train loss 0.15025285981595515, max combine score is 0.0
At epoch 292, batch 194800, train loss 0.156249539591372, max combine score is 0.0
At epoch 292, batch 195000, train loss 0.15012616697698833, max combine score is 0.0
At epoch 292, batch 195200, train loss 0.15118970692157746, max combine score is 0.0
At epoch 292, batch 195400, train loss 0.1509823052957654, max combine score is 0.0
At epoch 293, batch 195600, train loss 0.15194647315889598, max combine score is 0.0
At epoch 293, batch 195800, train loss 0.14903976880013942, max combine score is 0.0
At epoch 293, batch 196000, train loss 0.14728888805955648, max combine score is 0.0
At epoch 293, batch 196000, dev loss is 4.90816863377889
At epoch 294, batch 196200, train loss 0.14665529739111663, max combine score is 0.0
At epoch 294, batch 196400, train loss 0.1461703534796834, max combine score is 0.0
At epoch 294, batch 196600, train loss 0.148779965788126, max combine score is 0.0
At epoch 295, batch 196800, train loss 0.14766738276928662, max combine score is 0.0
At epoch 295, batch 197000, train loss 0.1519676113128662, max combine score is 0.0
At epoch 295, batch 197200, train loss 0.14789303831756115, max combine score is 0.0
At epoch 295, batch 197400, train loss 0.14697815295308828, max combine score is 0.0
At epoch 296, batch 197600, train loss 0.1497036135569215, max combine score is 0.0
At epoch 296, batch 197800, train loss 0.1456170232966542, max combine score is 0.0
At epoch 296, batch 198000, train loss 0.15043686833232642, max combine score is 0.0
At epoch 296, batch 198000, dev loss is 4.837516201866998
At epoch 297, batch 198200, train loss 0.14563902627676725, max combine score is 0.0
At epoch 297, batch 198400, train loss 0.14622096672654153, max combine score is 0.0
At epoch 297, batch 198600, train loss 0.14534306067973377, max combine score is 0.0
At epoch 298, batch 198800, train loss 0.14861224889755248, max combine score is 0.0
At epoch 298, batch 199000, train loss 0.14850063413381576, max combine score is 0.0
At epoch 298, batch 199200, train loss 0.14485119197517635, max combine score is 0.0
At epoch 298, batch 199400, train loss 0.14350642900913954, max combine score is 0.0
At epoch 299, batch 199600, train loss 0.14215511783957482, max combine score is 0.0
At epoch 299, batch 199800, train loss 0.14461515072733164, max combine score is 0.0
At epoch 299, batch 200000, train loss 0.14599204659461976, max combine score is 0.0
At epoch 299, batch 200000, dev loss is 4.860101805792914