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generator-pretrain.ckpt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7174ca44a4f6ec907f352ac32644a23939deb0a5321ee30f706c2b48acddbcb7
+size 1113847309

log.txt

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+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
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+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