{ "best_metric": null, "best_model_checkpoint": null, "epoch": 4.0, "global_step": 17365, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 1e-05, "loss": 10.6173, "step": 10 }, { "epoch": 0.0, "learning_rate": 2e-05, "loss": 10.5994, "step": 20 }, { "epoch": 0.01, "learning_rate": 3e-05, "loss": 10.5936, "step": 30 }, { "epoch": 0.01, "learning_rate": 4e-05, "loss": 10.5525, "step": 40 }, { "epoch": 0.01, "learning_rate": 5e-05, "loss": 10.5214, "step": 50 }, { "epoch": 0.01, "learning_rate": 6e-05, "loss": 10.3845, "step": 60 }, { "epoch": 0.02, "learning_rate": 7.000000000000001e-05, "loss": 9.9854, "step": 70 }, { "epoch": 0.02, "learning_rate": 8e-05, "loss": 9.1209, "step": 80 }, { "epoch": 0.02, "learning_rate": 8.999999999999999e-05, "loss": 8.4798, "step": 90 }, { "epoch": 0.02, "learning_rate": 0.0001, "loss": 7.8074, "step": 100 }, { "epoch": 0.03, "learning_rate": 0.00011, "loss": 7.5012, "step": 110 }, { "epoch": 0.03, "learning_rate": 0.00012, "loss": 7.3823, "step": 120 }, { "epoch": 0.03, "learning_rate": 0.00013000000000000002, "loss": 7.0647, "step": 130 }, { "epoch": 0.03, "learning_rate": 0.00014000000000000001, "loss": 7.2592, "step": 140 }, { "epoch": 0.03, "learning_rate": 0.00015, "loss": 7.1762, "step": 150 }, { "epoch": 0.04, "learning_rate": 0.00016, "loss": 7.0139, "step": 160 }, { "epoch": 0.04, "learning_rate": 0.00017, "loss": 6.9767, "step": 170 }, { "epoch": 0.04, "learning_rate": 0.00017999999999999998, "loss": 7.0242, "step": 180 }, { "epoch": 0.04, "learning_rate": 0.00019, "loss": 6.9285, "step": 190 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 6.9331, "step": 200 }, { "epoch": 0.05, "learning_rate": 0.00021, "loss": 6.8345, "step": 210 }, { "epoch": 0.05, "learning_rate": 0.00022, "loss": 6.6742, "step": 220 }, { "epoch": 0.05, "learning_rate": 0.00023, "loss": 6.8299, "step": 230 }, { "epoch": 0.06, "learning_rate": 0.00024, "loss": 6.7196, "step": 240 }, { "epoch": 0.06, "learning_rate": 0.00025, "loss": 6.5603, "step": 250 }, { "epoch": 0.06, "learning_rate": 0.00026000000000000003, "loss": 6.5966, "step": 260 }, { "epoch": 0.06, "learning_rate": 0.00027, "loss": 6.6431, "step": 270 }, { "epoch": 0.06, "learning_rate": 0.00028000000000000003, "loss": 6.3873, "step": 280 }, { "epoch": 0.07, "learning_rate": 0.00029, "loss": 6.3411, "step": 290 }, { "epoch": 0.07, "learning_rate": 0.0003, "loss": 6.1473, "step": 300 }, { "epoch": 0.07, "learning_rate": 0.00031, "loss": 6.2374, "step": 310 }, { "epoch": 0.07, "learning_rate": 0.00032, "loss": 6.2448, "step": 320 }, { "epoch": 0.08, "learning_rate": 0.00033, "loss": 6.1181, "step": 330 }, { "epoch": 0.08, "learning_rate": 0.00034, "loss": 6.0314, "step": 340 }, { "epoch": 0.08, "learning_rate": 0.00035, "loss": 5.8719, "step": 350 }, { "epoch": 0.08, "learning_rate": 0.00035999999999999997, "loss": 5.8483, "step": 360 }, { "epoch": 0.09, "learning_rate": 0.00037, "loss": 5.8423, "step": 370 }, { "epoch": 0.09, "learning_rate": 0.00038, "loss": 5.8773, "step": 380 }, { "epoch": 0.09, "learning_rate": 0.00039000000000000005, "loss": 5.8504, "step": 390 }, { "epoch": 0.09, "learning_rate": 0.0004, "loss": 5.4737, "step": 400 }, { "epoch": 0.09, "learning_rate": 0.00041, "loss": 5.6913, "step": 410 }, { "epoch": 0.1, "learning_rate": 0.00042, "loss": 5.7444, "step": 420 }, { "epoch": 0.1, "learning_rate": 0.00043, "loss": 5.6371, "step": 430 }, { "epoch": 0.1, "learning_rate": 0.00044, "loss": 5.6059, "step": 440 }, { "epoch": 0.1, "learning_rate": 0.00045000000000000004, "loss": 5.3563, "step": 450 }, { "epoch": 0.11, "learning_rate": 0.00046, "loss": 5.2794, "step": 460 }, { "epoch": 0.11, "learning_rate": 0.00047, "loss": 5.3608, "step": 470 }, { "epoch": 0.11, "learning_rate": 0.00048, "loss": 5.5027, "step": 480 }, { "epoch": 0.11, "learning_rate": 0.00049, "loss": 5.3745, "step": 490 }, { "epoch": 0.12, "learning_rate": 0.0005, "loss": 5.313, "step": 500 }, { "epoch": 0.12, "learning_rate": 0.0004998834770449779, "loss": 5.1712, "step": 510 }, { "epoch": 0.12, "learning_rate": 0.0004997669540899557, "loss": 5.219, "step": 520 }, { "epoch": 0.12, "learning_rate": 0.0004996504311349336, "loss": 5.3264, "step": 530 }, { "epoch": 0.12, "learning_rate": 0.0004995339081799114, "loss": 5.0162, "step": 540 }, { "epoch": 0.13, "learning_rate": 0.0004994173852248894, "loss": 4.986, "step": 550 }, { "epoch": 0.13, "learning_rate": 0.0004993008622698671, "loss": 4.8857, "step": 560 }, { "epoch": 0.13, "learning_rate": 0.0004991843393148451, "loss": 4.8639, "step": 570 }, { "epoch": 0.13, "learning_rate": 0.0004990678163598229, "loss": 5.2248, "step": 580 }, { "epoch": 0.14, "learning_rate": 0.0004989512934048008, "loss": 4.8982, "step": 590 }, { "epoch": 0.14, "learning_rate": 0.0004988347704497786, "loss": 5.0063, "step": 600 }, { "epoch": 0.14, "learning_rate": 0.0004987182474947565, "loss": 4.7881, "step": 610 }, { "epoch": 0.14, "learning_rate": 0.0004986017245397343, "loss": 4.824, "step": 620 }, { "epoch": 0.15, "learning_rate": 0.0004984852015847123, "loss": 4.5973, "step": 630 }, { "epoch": 0.15, "learning_rate": 0.00049836867862969, "loss": 4.5633, "step": 640 }, { "epoch": 0.15, "learning_rate": 0.000498252155674668, "loss": 4.7742, "step": 650 }, { "epoch": 0.15, "learning_rate": 0.0004981356327196458, "loss": 4.5603, "step": 660 }, { "epoch": 0.15, "learning_rate": 0.0004980191097646236, "loss": 4.5855, "step": 670 }, { "epoch": 0.16, "learning_rate": 0.0004979025868096015, "loss": 4.5635, "step": 680 }, { "epoch": 0.16, "learning_rate": 0.0004977860638545793, "loss": 4.4144, "step": 690 }, { "epoch": 0.16, "learning_rate": 0.0004976695408995572, "loss": 4.6402, "step": 700 }, { "epoch": 0.16, "learning_rate": 0.000497553017944535, "loss": 4.4075, "step": 710 }, { "epoch": 0.17, "learning_rate": 0.0004974364949895129, "loss": 4.7223, "step": 720 }, { "epoch": 0.17, "learning_rate": 0.0004973199720344908, "loss": 4.383, "step": 730 }, { "epoch": 0.17, "learning_rate": 0.0004972034490794687, "loss": 4.392, "step": 740 }, { "epoch": 0.17, "learning_rate": 0.0004970869261244465, "loss": 4.1944, "step": 750 }, { "epoch": 0.18, "learning_rate": 0.0004969704031694244, "loss": 4.3497, "step": 760 }, { "epoch": 0.18, "learning_rate": 0.0004968538802144022, "loss": 4.0244, "step": 770 }, { "epoch": 0.18, "learning_rate": 0.0004967373572593801, "loss": 4.2946, "step": 780 }, { "epoch": 0.18, "learning_rate": 0.0004966208343043579, "loss": 4.0822, "step": 790 }, { "epoch": 0.18, "learning_rate": 0.0004965043113493358, "loss": 4.0192, "step": 800 }, { "epoch": 0.19, "learning_rate": 0.0004963877883943137, "loss": 4.1678, "step": 810 }, { "epoch": 0.19, "learning_rate": 0.0004962712654392916, "loss": 3.9266, "step": 820 }, { "epoch": 0.19, "learning_rate": 0.0004961547424842694, "loss": 3.9863, "step": 830 }, { "epoch": 0.19, "learning_rate": 0.0004960382195292473, "loss": 3.769, "step": 840 }, { "epoch": 0.2, "learning_rate": 0.0004959216965742251, "loss": 3.8906, "step": 850 }, { "epoch": 0.2, "learning_rate": 0.000495805173619203, "loss": 3.9499, "step": 860 }, { "epoch": 0.2, "learning_rate": 0.0004956886506641808, "loss": 3.8681, "step": 870 }, { "epoch": 0.2, "learning_rate": 0.0004955721277091587, "loss": 3.8131, "step": 880 }, { "epoch": 0.21, "learning_rate": 0.0004954556047541366, "loss": 4.111, "step": 890 }, { "epoch": 0.21, "learning_rate": 0.0004953390817991144, "loss": 3.5835, "step": 900 }, { "epoch": 0.21, "learning_rate": 0.0004952225588440923, "loss": 3.8712, "step": 910 }, { "epoch": 0.21, "learning_rate": 0.0004951060358890702, "loss": 3.5934, "step": 920 }, { "epoch": 0.21, "learning_rate": 0.000494989512934048, "loss": 3.6938, "step": 930 }, { "epoch": 0.22, "learning_rate": 0.0004948729899790259, "loss": 3.7079, "step": 940 }, { "epoch": 0.22, "learning_rate": 0.0004947564670240037, "loss": 3.6767, "step": 950 }, { "epoch": 0.22, "learning_rate": 0.0004946399440689816, "loss": 3.731, "step": 960 }, { "epoch": 0.22, "learning_rate": 0.0004945234211139595, "loss": 3.5824, "step": 970 }, { "epoch": 0.23, "learning_rate": 0.0004944068981589373, "loss": 3.3612, "step": 980 }, { "epoch": 0.23, "learning_rate": 0.0004942903752039151, "loss": 3.3219, "step": 990 }, { "epoch": 0.23, "learning_rate": 0.0004941738522488931, "loss": 3.5787, "step": 1000 }, { "epoch": 0.23, "learning_rate": 0.0004940573292938709, "loss": 3.4477, "step": 1010 }, { "epoch": 0.23, "learning_rate": 0.0004939408063388488, "loss": 3.4272, "step": 1020 }, { "epoch": 0.24, "learning_rate": 0.0004938242833838266, "loss": 3.5109, "step": 1030 }, { "epoch": 0.24, "learning_rate": 0.0004937077604288045, "loss": 3.0641, "step": 1040 }, { "epoch": 0.24, "learning_rate": 0.0004935912374737823, "loss": 3.3225, "step": 1050 }, { "epoch": 0.24, "learning_rate": 0.0004934747145187602, "loss": 3.2164, "step": 1060 }, { "epoch": 0.25, "learning_rate": 0.000493358191563738, "loss": 3.2713, "step": 1070 }, { "epoch": 0.25, "learning_rate": 0.000493241668608716, "loss": 3.2336, "step": 1080 }, { "epoch": 0.25, "learning_rate": 0.0004931251456536937, "loss": 3.2406, "step": 1090 }, { "epoch": 0.25, "learning_rate": 0.0004930086226986717, "loss": 3.2814, "step": 1100 }, { "epoch": 0.26, "learning_rate": 0.0004928920997436495, "loss": 3.237, "step": 1110 }, { "epoch": 0.26, "learning_rate": 0.0004927755767886274, "loss": 3.1105, "step": 1120 }, { "epoch": 0.26, "learning_rate": 0.0004926590538336052, "loss": 3.121, "step": 1130 }, { "epoch": 0.26, "learning_rate": 0.0004925425308785831, "loss": 2.8725, "step": 1140 }, { "epoch": 0.26, "learning_rate": 0.0004924260079235609, "loss": 3.2262, "step": 1150 }, { "epoch": 0.27, "learning_rate": 0.0004923094849685389, "loss": 3.0991, "step": 1160 }, { "epoch": 0.27, "learning_rate": 0.0004921929620135166, "loss": 2.8996, "step": 1170 }, { "epoch": 0.27, "learning_rate": 0.0004920764390584946, "loss": 3.2996, "step": 1180 }, { "epoch": 0.27, "learning_rate": 0.0004919599161034724, "loss": 3.0485, "step": 1190 }, { "epoch": 0.28, "learning_rate": 0.0004918433931484503, "loss": 2.9699, "step": 1200 }, { "epoch": 0.28, "learning_rate": 0.0004917268701934281, "loss": 2.8221, "step": 1210 }, { "epoch": 0.28, "learning_rate": 0.000491610347238406, "loss": 2.9691, "step": 1220 }, { "epoch": 0.28, "learning_rate": 0.0004914938242833838, "loss": 2.8891, "step": 1230 }, { "epoch": 0.29, "learning_rate": 0.0004913773013283617, "loss": 2.8668, "step": 1240 }, { "epoch": 0.29, "learning_rate": 0.0004912607783733395, "loss": 2.8655, "step": 1250 }, { "epoch": 0.29, "learning_rate": 0.0004911442554183175, "loss": 2.8323, "step": 1260 }, { "epoch": 0.29, "learning_rate": 0.0004910277324632953, "loss": 2.775, "step": 1270 }, { "epoch": 0.29, "learning_rate": 0.0004909112095082732, "loss": 2.7235, "step": 1280 }, { "epoch": 0.3, "learning_rate": 0.000490794686553251, "loss": 2.7463, "step": 1290 }, { "epoch": 0.3, "learning_rate": 0.0004906781635982289, "loss": 2.8081, "step": 1300 }, { "epoch": 0.3, "learning_rate": 0.0004905616406432067, "loss": 2.7157, "step": 1310 }, { "epoch": 0.3, "learning_rate": 0.0004904451176881846, "loss": 2.7714, "step": 1320 }, { "epoch": 0.31, "learning_rate": 0.0004903285947331624, "loss": 2.9056, "step": 1330 }, { "epoch": 0.31, "learning_rate": 0.0004902120717781404, "loss": 2.7927, "step": 1340 }, { "epoch": 0.31, "learning_rate": 0.0004900955488231182, "loss": 2.718, "step": 1350 }, { "epoch": 0.31, "learning_rate": 0.0004899790258680961, "loss": 2.7283, "step": 1360 }, { "epoch": 0.32, "learning_rate": 0.0004898625029130739, "loss": 2.6543, "step": 1370 }, { "epoch": 0.32, "learning_rate": 0.0004897459799580518, "loss": 2.5825, "step": 1380 }, { "epoch": 0.32, "learning_rate": 0.0004896294570030296, "loss": 2.6792, "step": 1390 }, { "epoch": 0.32, "learning_rate": 0.0004895129340480074, "loss": 2.4749, "step": 1400 }, { "epoch": 0.32, "learning_rate": 0.0004893964110929853, "loss": 2.7346, "step": 1410 }, { "epoch": 0.33, "learning_rate": 0.0004892798881379633, "loss": 2.4702, "step": 1420 }, { "epoch": 0.33, "learning_rate": 0.000489163365182941, "loss": 2.4849, "step": 1430 }, { "epoch": 0.33, "learning_rate": 0.000489046842227919, "loss": 2.5751, "step": 1440 }, { "epoch": 0.33, "learning_rate": 0.0004889303192728968, "loss": 2.7505, "step": 1450 }, { "epoch": 0.34, "learning_rate": 0.0004888137963178746, "loss": 2.6167, "step": 1460 }, { "epoch": 0.34, "learning_rate": 0.0004886972733628525, "loss": 2.5749, "step": 1470 }, { "epoch": 0.34, "learning_rate": 0.0004885807504078303, "loss": 2.4734, "step": 1480 }, { "epoch": 0.34, "learning_rate": 0.0004884642274528082, "loss": 2.5399, "step": 1490 }, { "epoch": 0.35, "learning_rate": 0.000488347704497786, "loss": 2.7156, "step": 1500 }, { "epoch": 0.35, "learning_rate": 0.0004882311815427639, "loss": 2.6661, "step": 1510 }, { "epoch": 0.35, "learning_rate": 0.0004881146585877418, "loss": 2.4842, "step": 1520 }, { "epoch": 0.35, "learning_rate": 0.00048799813563271964, "loss": 2.5076, "step": 1530 }, { "epoch": 0.35, "learning_rate": 0.00048788161267769754, "loss": 2.4286, "step": 1540 }, { "epoch": 0.36, "learning_rate": 0.00048776508972267534, "loss": 2.3796, "step": 1550 }, { "epoch": 0.36, "learning_rate": 0.00048764856676765324, "loss": 2.249, "step": 1560 }, { "epoch": 0.36, "learning_rate": 0.0004875320438126311, "loss": 2.4257, "step": 1570 }, { "epoch": 0.36, "learning_rate": 0.000487415520857609, "loss": 2.4112, "step": 1580 }, { "epoch": 0.37, "learning_rate": 0.0004872989979025868, "loss": 2.2194, "step": 1590 }, { "epoch": 0.37, "learning_rate": 0.0004871824749475647, "loss": 2.3593, "step": 1600 }, { "epoch": 0.37, "learning_rate": 0.00048706595199254254, "loss": 2.3137, "step": 1610 }, { "epoch": 0.37, "learning_rate": 0.0004869494290375204, "loss": 2.3152, "step": 1620 }, { "epoch": 0.38, "learning_rate": 0.00048683290608249823, "loss": 2.293, "step": 1630 }, { "epoch": 0.38, "learning_rate": 0.00048671638312747614, "loss": 2.3859, "step": 1640 }, { "epoch": 0.38, "learning_rate": 0.000486599860172454, "loss": 2.5195, "step": 1650 }, { "epoch": 0.38, "learning_rate": 0.00048648333721743183, "loss": 2.2668, "step": 1660 }, { "epoch": 0.38, "learning_rate": 0.0004863668142624097, "loss": 2.3753, "step": 1670 }, { "epoch": 0.39, "learning_rate": 0.0004862502913073876, "loss": 2.4052, "step": 1680 }, { "epoch": 0.39, "learning_rate": 0.00048613376835236543, "loss": 2.2952, "step": 1690 }, { "epoch": 0.39, "learning_rate": 0.0004860172453973433, "loss": 2.2161, "step": 1700 }, { "epoch": 0.39, "learning_rate": 0.00048590072244232113, "loss": 2.4161, "step": 1710 }, { "epoch": 0.4, "learning_rate": 0.00048578419948729903, "loss": 2.2893, "step": 1720 }, { "epoch": 0.4, "learning_rate": 0.0004856676765322769, "loss": 2.2338, "step": 1730 }, { "epoch": 0.4, "learning_rate": 0.00048555115357725473, "loss": 1.9338, "step": 1740 }, { "epoch": 0.4, "learning_rate": 0.0004854346306222326, "loss": 2.1428, "step": 1750 }, { "epoch": 0.41, "learning_rate": 0.0004853181076672105, "loss": 2.0794, "step": 1760 }, { "epoch": 0.41, "learning_rate": 0.0004852015847121883, "loss": 2.1585, "step": 1770 }, { "epoch": 0.41, "learning_rate": 0.0004850850617571662, "loss": 2.0462, "step": 1780 }, { "epoch": 0.41, "learning_rate": 0.000484968538802144, "loss": 2.1014, "step": 1790 }, { "epoch": 0.41, "learning_rate": 0.0004848520158471219, "loss": 2.268, "step": 1800 }, { "epoch": 0.42, "learning_rate": 0.0004847354928920997, "loss": 2.11, "step": 1810 }, { "epoch": 0.42, "learning_rate": 0.0004846189699370776, "loss": 2.275, "step": 1820 }, { "epoch": 0.42, "learning_rate": 0.00048450244698205547, "loss": 1.9513, "step": 1830 }, { "epoch": 0.42, "learning_rate": 0.0004843859240270334, "loss": 2.1157, "step": 1840 }, { "epoch": 0.43, "learning_rate": 0.00048426940107201117, "loss": 2.243, "step": 1850 }, { "epoch": 0.43, "learning_rate": 0.00048415287811698907, "loss": 2.0249, "step": 1860 }, { "epoch": 0.43, "learning_rate": 0.0004840363551619669, "loss": 2.2214, "step": 1870 }, { "epoch": 0.43, "learning_rate": 0.0004839198322069448, "loss": 2.1383, "step": 1880 }, { "epoch": 0.44, "learning_rate": 0.0004838033092519226, "loss": 2.0717, "step": 1890 }, { "epoch": 0.44, "learning_rate": 0.0004836867862969005, "loss": 2.0318, "step": 1900 }, { "epoch": 0.44, "learning_rate": 0.00048357026334187837, "loss": 2.2616, "step": 1910 }, { "epoch": 0.44, "learning_rate": 0.00048345374038685627, "loss": 2.2362, "step": 1920 }, { "epoch": 0.44, "learning_rate": 0.00048333721743183406, "loss": 1.9737, "step": 1930 }, { "epoch": 0.45, "learning_rate": 0.00048322069447681197, "loss": 1.8598, "step": 1940 }, { "epoch": 0.45, "learning_rate": 0.0004831041715217898, "loss": 2.0784, "step": 1950 }, { "epoch": 0.45, "learning_rate": 0.00048298764856676766, "loss": 2.1202, "step": 1960 }, { "epoch": 0.45, "learning_rate": 0.0004828711256117455, "loss": 2.1851, "step": 1970 }, { "epoch": 0.46, "learning_rate": 0.00048275460265672336, "loss": 1.999, "step": 1980 }, { "epoch": 0.46, "learning_rate": 0.00048263807970170126, "loss": 2.1535, "step": 1990 }, { "epoch": 0.46, "learning_rate": 0.00048252155674667906, "loss": 1.927, "step": 2000 }, { "epoch": 0.46, "learning_rate": 0.00048240503379165696, "loss": 1.8046, "step": 2010 }, { "epoch": 0.47, "learning_rate": 0.0004822885108366348, "loss": 2.2255, "step": 2020 }, { "epoch": 0.47, "learning_rate": 0.0004821719878816127, "loss": 1.8354, "step": 2030 }, { "epoch": 0.47, "learning_rate": 0.0004820554649265905, "loss": 1.9391, "step": 2040 }, { "epoch": 0.47, "learning_rate": 0.0004819389419715684, "loss": 2.16, "step": 2050 }, { "epoch": 0.47, "learning_rate": 0.00048182241901654626, "loss": 2.0378, "step": 2060 }, { "epoch": 0.48, "learning_rate": 0.00048170589606152416, "loss": 1.7791, "step": 2070 }, { "epoch": 0.48, "learning_rate": 0.00048158937310650195, "loss": 1.9443, "step": 2080 }, { "epoch": 0.48, "learning_rate": 0.00048147285015147985, "loss": 2.1102, "step": 2090 }, { "epoch": 0.48, "learning_rate": 0.0004813563271964577, "loss": 1.9356, "step": 2100 }, { "epoch": 0.49, "learning_rate": 0.0004812398042414356, "loss": 2.0797, "step": 2110 }, { "epoch": 0.49, "learning_rate": 0.0004811232812864134, "loss": 1.9049, "step": 2120 }, { "epoch": 0.49, "learning_rate": 0.0004810067583313913, "loss": 2.0014, "step": 2130 }, { "epoch": 0.49, "learning_rate": 0.00048089023537636915, "loss": 1.8359, "step": 2140 }, { "epoch": 0.5, "learning_rate": 0.00048077371242134705, "loss": 1.8638, "step": 2150 }, { "epoch": 0.5, "learning_rate": 0.00048065718946632485, "loss": 1.851, "step": 2160 }, { "epoch": 0.5, "learning_rate": 0.00048054066651130275, "loss": 1.813, "step": 2170 }, { "epoch": 0.5, "learning_rate": 0.0004804241435562806, "loss": 1.8793, "step": 2180 }, { "epoch": 0.5, "learning_rate": 0.00048030762060125845, "loss": 1.8115, "step": 2190 }, { "epoch": 0.51, "learning_rate": 0.0004801910976462363, "loss": 1.89, "step": 2200 }, { "epoch": 0.51, "learning_rate": 0.0004800745746912142, "loss": 1.6868, "step": 2210 }, { "epoch": 0.51, "learning_rate": 0.00047995805173619205, "loss": 1.9705, "step": 2220 }, { "epoch": 0.51, "learning_rate": 0.0004798415287811699, "loss": 1.7701, "step": 2230 }, { "epoch": 0.52, "learning_rate": 0.00047972500582614774, "loss": 1.8274, "step": 2240 }, { "epoch": 0.52, "learning_rate": 0.00047960848287112565, "loss": 1.9784, "step": 2250 }, { "epoch": 0.52, "learning_rate": 0.0004794919599161035, "loss": 1.8581, "step": 2260 }, { "epoch": 0.52, "learning_rate": 0.00047937543696108134, "loss": 1.7436, "step": 2270 }, { "epoch": 0.53, "learning_rate": 0.0004792589140060592, "loss": 1.8933, "step": 2280 }, { "epoch": 0.53, "learning_rate": 0.0004791423910510371, "loss": 1.8863, "step": 2290 }, { "epoch": 0.53, "learning_rate": 0.00047902586809601494, "loss": 1.6754, "step": 2300 }, { "epoch": 0.53, "learning_rate": 0.0004789093451409928, "loss": 1.8452, "step": 2310 }, { "epoch": 0.53, "learning_rate": 0.00047879282218597064, "loss": 1.7726, "step": 2320 }, { "epoch": 0.54, "learning_rate": 0.00047867629923094854, "loss": 1.6902, "step": 2330 }, { "epoch": 0.54, "learning_rate": 0.0004785597762759264, "loss": 1.7203, "step": 2340 }, { "epoch": 0.54, "learning_rate": 0.00047844325332090424, "loss": 1.9117, "step": 2350 }, { "epoch": 0.54, "learning_rate": 0.0004783267303658821, "loss": 1.7419, "step": 2360 }, { "epoch": 0.55, "learning_rate": 0.00047821020741086, "loss": 1.6398, "step": 2370 }, { "epoch": 0.55, "learning_rate": 0.0004780936844558378, "loss": 1.8232, "step": 2380 }, { "epoch": 0.55, "learning_rate": 0.0004779771615008157, "loss": 1.811, "step": 2390 }, { "epoch": 0.55, "learning_rate": 0.00047786063854579353, "loss": 1.7618, "step": 2400 }, { "epoch": 0.56, "learning_rate": 0.00047774411559077144, "loss": 1.8015, "step": 2410 }, { "epoch": 0.56, "learning_rate": 0.00047762759263574923, "loss": 1.6506, "step": 2420 }, { "epoch": 0.56, "learning_rate": 0.0004775110696807271, "loss": 1.584, "step": 2430 }, { "epoch": 0.56, "learning_rate": 0.000477394546725705, "loss": 1.7166, "step": 2440 }, { "epoch": 0.56, "learning_rate": 0.00047727802377068283, "loss": 1.6907, "step": 2450 }, { "epoch": 0.57, "learning_rate": 0.0004771615008156607, "loss": 1.6075, "step": 2460 }, { "epoch": 0.57, "learning_rate": 0.0004770449778606385, "loss": 1.6789, "step": 2470 }, { "epoch": 0.57, "learning_rate": 0.00047692845490561643, "loss": 1.6016, "step": 2480 }, { "epoch": 0.57, "learning_rate": 0.0004768119319505943, "loss": 1.737, "step": 2490 }, { "epoch": 0.58, "learning_rate": 0.0004766954089955721, "loss": 1.8943, "step": 2500 }, { "epoch": 0.58, "learning_rate": 0.00047657888604055, "loss": 1.8478, "step": 2510 }, { "epoch": 0.58, "learning_rate": 0.0004764623630855279, "loss": 1.6695, "step": 2520 }, { "epoch": 0.58, "learning_rate": 0.00047634584013050567, "loss": 1.6879, "step": 2530 }, { "epoch": 0.59, "learning_rate": 0.0004762293171754836, "loss": 1.6278, "step": 2540 }, { "epoch": 0.59, "learning_rate": 0.0004761127942204614, "loss": 1.7355, "step": 2550 }, { "epoch": 0.59, "learning_rate": 0.0004759962712654393, "loss": 1.8658, "step": 2560 }, { "epoch": 0.59, "learning_rate": 0.0004758797483104171, "loss": 1.6834, "step": 2570 }, { "epoch": 0.59, "learning_rate": 0.000475763225355395, "loss": 1.6484, "step": 2580 }, { "epoch": 0.6, "learning_rate": 0.00047564670240037287, "loss": 1.6275, "step": 2590 }, { "epoch": 0.6, "learning_rate": 0.00047553017944535077, "loss": 1.6433, "step": 2600 }, { "epoch": 0.6, "learning_rate": 0.00047541365649032857, "loss": 1.6679, "step": 2610 }, { "epoch": 0.6, "learning_rate": 0.00047529713353530647, "loss": 1.615, "step": 2620 }, { "epoch": 0.61, "learning_rate": 0.0004751806105802843, "loss": 1.6623, "step": 2630 }, { "epoch": 0.61, "learning_rate": 0.0004750640876252622, "loss": 1.5745, "step": 2640 }, { "epoch": 0.61, "learning_rate": 0.00047494756467024, "loss": 1.3781, "step": 2650 }, { "epoch": 0.61, "learning_rate": 0.0004748310417152179, "loss": 1.6752, "step": 2660 }, { "epoch": 0.62, "learning_rate": 0.00047471451876019577, "loss": 1.7025, "step": 2670 }, { "epoch": 0.62, "learning_rate": 0.00047459799580517367, "loss": 1.6855, "step": 2680 }, { "epoch": 0.62, "learning_rate": 0.00047448147285015146, "loss": 1.6679, "step": 2690 }, { "epoch": 0.62, "learning_rate": 0.00047436494989512936, "loss": 1.6746, "step": 2700 }, { "epoch": 0.62, "learning_rate": 0.0004742484269401072, "loss": 1.5759, "step": 2710 }, { "epoch": 0.63, "learning_rate": 0.00047413190398508506, "loss": 1.3709, "step": 2720 }, { "epoch": 0.63, "learning_rate": 0.0004740153810300629, "loss": 1.7639, "step": 2730 }, { "epoch": 0.63, "learning_rate": 0.0004738988580750408, "loss": 1.3738, "step": 2740 }, { "epoch": 0.63, "learning_rate": 0.00047378233512001866, "loss": 1.4433, "step": 2750 }, { "epoch": 0.64, "learning_rate": 0.0004736658121649965, "loss": 1.4435, "step": 2760 }, { "epoch": 0.64, "learning_rate": 0.00047354928920997436, "loss": 1.4654, "step": 2770 }, { "epoch": 0.64, "learning_rate": 0.00047343276625495226, "loss": 1.5323, "step": 2780 }, { "epoch": 0.64, "learning_rate": 0.0004733162432999301, "loss": 1.7076, "step": 2790 }, { "epoch": 0.64, "learning_rate": 0.00047319972034490796, "loss": 1.6969, "step": 2800 }, { "epoch": 0.65, "learning_rate": 0.0004730831973898858, "loss": 1.7028, "step": 2810 }, { "epoch": 0.65, "learning_rate": 0.0004729666744348637, "loss": 1.5403, "step": 2820 }, { "epoch": 0.65, "learning_rate": 0.00047285015147984156, "loss": 1.5397, "step": 2830 }, { "epoch": 0.65, "learning_rate": 0.0004727336285248194, "loss": 1.5315, "step": 2840 }, { "epoch": 0.66, "learning_rate": 0.00047261710556979725, "loss": 1.4734, "step": 2850 }, { "epoch": 0.66, "learning_rate": 0.00047250058261477516, "loss": 1.7396, "step": 2860 }, { "epoch": 0.66, "learning_rate": 0.000472384059659753, "loss": 1.476, "step": 2870 }, { "epoch": 0.66, "learning_rate": 0.00047226753670473085, "loss": 1.5518, "step": 2880 }, { "epoch": 0.67, "learning_rate": 0.0004721510137497087, "loss": 1.3857, "step": 2890 }, { "epoch": 0.67, "learning_rate": 0.0004720344907946866, "loss": 1.6634, "step": 2900 }, { "epoch": 0.67, "learning_rate": 0.0004719179678396644, "loss": 1.6851, "step": 2910 }, { "epoch": 0.67, "learning_rate": 0.00047180144488464225, "loss": 1.5682, "step": 2920 }, { "epoch": 0.67, "learning_rate": 0.00047168492192962015, "loss": 1.4285, "step": 2930 }, { "epoch": 0.68, "learning_rate": 0.000471568398974598, "loss": 1.53, "step": 2940 }, { "epoch": 0.68, "learning_rate": 0.00047145187601957585, "loss": 1.6139, "step": 2950 }, { "epoch": 0.68, "learning_rate": 0.0004713353530645537, "loss": 1.7024, "step": 2960 }, { "epoch": 0.68, "learning_rate": 0.0004712188301095316, "loss": 1.5183, "step": 2970 }, { "epoch": 0.69, "learning_rate": 0.00047110230715450944, "loss": 1.6133, "step": 2980 }, { "epoch": 0.69, "learning_rate": 0.0004709857841994873, "loss": 1.7082, "step": 2990 }, { "epoch": 0.69, "learning_rate": 0.00047086926124446514, "loss": 1.4825, "step": 3000 }, { "epoch": 0.69, "learning_rate": 0.00047075273828944304, "loss": 1.3294, "step": 3010 }, { "epoch": 0.7, "learning_rate": 0.0004706362153344209, "loss": 1.5075, "step": 3020 }, { "epoch": 0.7, "learning_rate": 0.00047051969237939874, "loss": 1.5766, "step": 3030 }, { "epoch": 0.7, "learning_rate": 0.0004704031694243766, "loss": 1.5618, "step": 3040 }, { "epoch": 0.7, "learning_rate": 0.0004702866464693545, "loss": 1.6336, "step": 3050 }, { "epoch": 0.7, "learning_rate": 0.00047017012351433234, "loss": 1.4952, "step": 3060 }, { "epoch": 0.71, "learning_rate": 0.0004700536005593102, "loss": 1.4659, "step": 3070 }, { "epoch": 0.71, "learning_rate": 0.00046993707760428804, "loss": 1.6056, "step": 3080 }, { "epoch": 0.71, "learning_rate": 0.00046982055464926594, "loss": 1.5604, "step": 3090 }, { "epoch": 0.71, "learning_rate": 0.00046970403169424373, "loss": 1.5006, "step": 3100 }, { "epoch": 0.72, "learning_rate": 0.00046958750873922164, "loss": 1.431, "step": 3110 }, { "epoch": 0.72, "learning_rate": 0.0004694709857841995, "loss": 1.3415, "step": 3120 }, { "epoch": 0.72, "learning_rate": 0.0004693544628291774, "loss": 1.5172, "step": 3130 }, { "epoch": 0.72, "learning_rate": 0.0004692379398741552, "loss": 1.3327, "step": 3140 }, { "epoch": 0.73, "learning_rate": 0.0004691214169191331, "loss": 1.4461, "step": 3150 }, { "epoch": 0.73, "learning_rate": 0.00046900489396411093, "loss": 1.3816, "step": 3160 }, { "epoch": 0.73, "learning_rate": 0.00046888837100908884, "loss": 1.5017, "step": 3170 }, { "epoch": 0.73, "learning_rate": 0.00046877184805406663, "loss": 1.3864, "step": 3180 }, { "epoch": 0.73, "learning_rate": 0.00046865532509904453, "loss": 1.5376, "step": 3190 }, { "epoch": 0.74, "learning_rate": 0.0004685388021440224, "loss": 1.3746, "step": 3200 }, { "epoch": 0.74, "learning_rate": 0.0004684222791890003, "loss": 1.2224, "step": 3210 }, { "epoch": 0.74, "learning_rate": 0.0004683057562339781, "loss": 1.3624, "step": 3220 }, { "epoch": 0.74, "learning_rate": 0.000468189233278956, "loss": 1.5236, "step": 3230 }, { "epoch": 0.75, "learning_rate": 0.00046807271032393383, "loss": 1.3457, "step": 3240 }, { "epoch": 0.75, "learning_rate": 0.00046795618736891173, "loss": 1.5382, "step": 3250 }, { "epoch": 0.75, "learning_rate": 0.0004678396644138895, "loss": 1.4564, "step": 3260 }, { "epoch": 0.75, "learning_rate": 0.00046772314145886743, "loss": 1.3994, "step": 3270 }, { "epoch": 0.76, "learning_rate": 0.0004676066185038453, "loss": 1.3252, "step": 3280 }, { "epoch": 0.76, "learning_rate": 0.0004674900955488231, "loss": 1.464, "step": 3290 }, { "epoch": 0.76, "learning_rate": 0.00046737357259380097, "loss": 1.2866, "step": 3300 }, { "epoch": 0.76, "learning_rate": 0.0004672570496387789, "loss": 1.566, "step": 3310 }, { "epoch": 0.76, "learning_rate": 0.0004671405266837567, "loss": 1.5683, "step": 3320 }, { "epoch": 0.77, "learning_rate": 0.00046702400372873457, "loss": 1.2691, "step": 3330 }, { "epoch": 0.77, "learning_rate": 0.0004669074807737124, "loss": 1.3731, "step": 3340 }, { "epoch": 0.77, "learning_rate": 0.0004667909578186903, "loss": 1.3997, "step": 3350 }, { "epoch": 0.77, "learning_rate": 0.00046667443486366817, "loss": 1.5178, "step": 3360 }, { "epoch": 0.78, "learning_rate": 0.000466557911908646, "loss": 1.4758, "step": 3370 }, { "epoch": 0.78, "learning_rate": 0.00046644138895362387, "loss": 1.2601, "step": 3380 }, { "epoch": 0.78, "learning_rate": 0.00046632486599860177, "loss": 1.5102, "step": 3390 }, { "epoch": 0.78, "learning_rate": 0.0004662083430435796, "loss": 1.5268, "step": 3400 }, { "epoch": 0.79, "learning_rate": 0.0004660918200885574, "loss": 1.4082, "step": 3410 }, { "epoch": 0.79, "learning_rate": 0.0004659752971335353, "loss": 1.3945, "step": 3420 }, { "epoch": 0.79, "learning_rate": 0.00046585877417851316, "loss": 1.4644, "step": 3430 }, { "epoch": 0.79, "learning_rate": 0.00046574225122349107, "loss": 1.3928, "step": 3440 }, { "epoch": 0.79, "learning_rate": 0.00046562572826846886, "loss": 1.3034, "step": 3450 }, { "epoch": 0.8, "learning_rate": 0.00046550920531344676, "loss": 1.3036, "step": 3460 }, { "epoch": 0.8, "learning_rate": 0.0004653926823584246, "loss": 1.5186, "step": 3470 }, { "epoch": 0.8, "learning_rate": 0.00046527615940340246, "loss": 1.3525, "step": 3480 }, { "epoch": 0.8, "learning_rate": 0.0004651596364483803, "loss": 1.4504, "step": 3490 }, { "epoch": 0.81, "learning_rate": 0.0004650431134933582, "loss": 1.2229, "step": 3500 }, { "epoch": 0.81, "learning_rate": 0.00046492659053833606, "loss": 1.2556, "step": 3510 }, { "epoch": 0.81, "learning_rate": 0.0004648100675833139, "loss": 1.2992, "step": 3520 }, { "epoch": 0.81, "learning_rate": 0.00046469354462829176, "loss": 1.256, "step": 3530 }, { "epoch": 0.82, "learning_rate": 0.00046457702167326966, "loss": 1.4052, "step": 3540 }, { "epoch": 0.82, "learning_rate": 0.0004644604987182475, "loss": 1.4992, "step": 3550 }, { "epoch": 0.82, "learning_rate": 0.00046434397576322536, "loss": 1.2673, "step": 3560 }, { "epoch": 0.82, "learning_rate": 0.0004642274528082032, "loss": 1.3817, "step": 3570 }, { "epoch": 0.82, "learning_rate": 0.0004641109298531811, "loss": 1.159, "step": 3580 }, { "epoch": 0.83, "learning_rate": 0.00046399440689815896, "loss": 1.3467, "step": 3590 }, { "epoch": 0.83, "learning_rate": 0.0004638778839431368, "loss": 1.3512, "step": 3600 }, { "epoch": 0.83, "learning_rate": 0.00046376136098811465, "loss": 1.31, "step": 3610 }, { "epoch": 0.83, "learning_rate": 0.00046364483803309255, "loss": 1.2474, "step": 3620 }, { "epoch": 0.84, "learning_rate": 0.0004635283150780704, "loss": 1.3939, "step": 3630 }, { "epoch": 0.84, "learning_rate": 0.00046341179212304825, "loss": 1.3823, "step": 3640 }, { "epoch": 0.84, "learning_rate": 0.0004632952691680261, "loss": 1.3648, "step": 3650 }, { "epoch": 0.84, "learning_rate": 0.000463178746213004, "loss": 1.1649, "step": 3660 }, { "epoch": 0.85, "learning_rate": 0.0004630622232579818, "loss": 1.2892, "step": 3670 }, { "epoch": 0.85, "learning_rate": 0.0004629457003029597, "loss": 1.3038, "step": 3680 }, { "epoch": 0.85, "learning_rate": 0.00046282917734793755, "loss": 1.2314, "step": 3690 }, { "epoch": 0.85, "learning_rate": 0.00046271265439291545, "loss": 1.1314, "step": 3700 }, { "epoch": 0.85, "learning_rate": 0.00046259613143789324, "loss": 1.3848, "step": 3710 }, { "epoch": 0.86, "learning_rate": 0.00046247960848287115, "loss": 1.3334, "step": 3720 }, { "epoch": 0.86, "learning_rate": 0.000462363085527849, "loss": 1.2365, "step": 3730 }, { "epoch": 0.86, "learning_rate": 0.0004622465625728269, "loss": 1.2673, "step": 3740 }, { "epoch": 0.86, "learning_rate": 0.0004621300396178047, "loss": 1.2443, "step": 3750 }, { "epoch": 0.87, "learning_rate": 0.0004620135166627826, "loss": 1.2275, "step": 3760 }, { "epoch": 0.87, "learning_rate": 0.00046189699370776044, "loss": 1.3776, "step": 3770 }, { "epoch": 0.87, "learning_rate": 0.00046178047075273835, "loss": 1.4364, "step": 3780 }, { "epoch": 0.87, "learning_rate": 0.00046166394779771614, "loss": 1.3173, "step": 3790 }, { "epoch": 0.88, "learning_rate": 0.00046154742484269404, "loss": 1.3461, "step": 3800 }, { "epoch": 0.88, "learning_rate": 0.0004614309018876719, "loss": 1.3649, "step": 3810 }, { "epoch": 0.88, "learning_rate": 0.00046131437893264974, "loss": 1.3683, "step": 3820 }, { "epoch": 0.88, "learning_rate": 0.0004611978559776276, "loss": 1.3727, "step": 3830 }, { "epoch": 0.88, "learning_rate": 0.0004610813330226055, "loss": 1.1828, "step": 3840 }, { "epoch": 0.89, "learning_rate": 0.00046096481006758334, "loss": 1.19, "step": 3850 }, { "epoch": 0.89, "learning_rate": 0.0004608482871125612, "loss": 1.3646, "step": 3860 }, { "epoch": 0.89, "learning_rate": 0.00046073176415753904, "loss": 1.1841, "step": 3870 }, { "epoch": 0.89, "learning_rate": 0.0004606152412025169, "loss": 1.1462, "step": 3880 }, { "epoch": 0.9, "learning_rate": 0.0004604987182474948, "loss": 1.1347, "step": 3890 }, { "epoch": 0.9, "learning_rate": 0.0004603821952924726, "loss": 1.17, "step": 3900 }, { "epoch": 0.9, "learning_rate": 0.0004602656723374505, "loss": 1.2542, "step": 3910 }, { "epoch": 0.9, "learning_rate": 0.00046014914938242833, "loss": 1.4318, "step": 3920 }, { "epoch": 0.91, "learning_rate": 0.00046003262642740623, "loss": 1.3082, "step": 3930 }, { "epoch": 0.91, "learning_rate": 0.00045991610347238403, "loss": 1.2716, "step": 3940 }, { "epoch": 0.91, "learning_rate": 0.00045979958051736193, "loss": 1.2412, "step": 3950 }, { "epoch": 0.91, "learning_rate": 0.0004596830575623398, "loss": 1.3664, "step": 3960 }, { "epoch": 0.91, "learning_rate": 0.0004595665346073177, "loss": 1.2538, "step": 3970 }, { "epoch": 0.92, "learning_rate": 0.0004594500116522955, "loss": 1.2536, "step": 3980 }, { "epoch": 0.92, "learning_rate": 0.0004593334886972734, "loss": 1.1971, "step": 3990 }, { "epoch": 0.92, "learning_rate": 0.0004592169657422512, "loss": 1.2953, "step": 4000 }, { "epoch": 0.92, "learning_rate": 0.0004591004427872291, "loss": 1.158, "step": 4010 }, { "epoch": 0.93, "learning_rate": 0.0004589839198322069, "loss": 1.5582, "step": 4020 }, { "epoch": 0.93, "learning_rate": 0.0004588673968771848, "loss": 1.1798, "step": 4030 }, { "epoch": 0.93, "learning_rate": 0.0004587508739221627, "loss": 1.184, "step": 4040 }, { "epoch": 0.93, "learning_rate": 0.0004586343509671405, "loss": 1.3451, "step": 4050 }, { "epoch": 0.94, "learning_rate": 0.00045851782801211837, "loss": 1.2911, "step": 4060 }, { "epoch": 0.94, "learning_rate": 0.0004584013050570963, "loss": 1.3576, "step": 4070 }, { "epoch": 0.94, "learning_rate": 0.0004582847821020741, "loss": 1.3262, "step": 4080 }, { "epoch": 0.94, "learning_rate": 0.00045816825914705197, "loss": 1.2768, "step": 4090 }, { "epoch": 0.94, "learning_rate": 0.0004580517361920298, "loss": 1.1113, "step": 4100 }, { "epoch": 0.95, "learning_rate": 0.0004579352132370077, "loss": 1.3998, "step": 4110 }, { "epoch": 0.95, "learning_rate": 0.00045781869028198557, "loss": 1.4512, "step": 4120 }, { "epoch": 0.95, "learning_rate": 0.0004577021673269634, "loss": 1.2316, "step": 4130 }, { "epoch": 0.95, "learning_rate": 0.00045758564437194127, "loss": 1.1764, "step": 4140 }, { "epoch": 0.96, "learning_rate": 0.00045746912141691917, "loss": 1.0234, "step": 4150 }, { "epoch": 0.96, "learning_rate": 0.000457352598461897, "loss": 1.2533, "step": 4160 }, { "epoch": 0.96, "learning_rate": 0.00045723607550687487, "loss": 1.1746, "step": 4170 }, { "epoch": 0.96, "learning_rate": 0.0004571195525518527, "loss": 1.057, "step": 4180 }, { "epoch": 0.97, "learning_rate": 0.0004570030295968306, "loss": 1.2712, "step": 4190 }, { "epoch": 0.97, "learning_rate": 0.0004568865066418084, "loss": 1.1473, "step": 4200 }, { "epoch": 0.97, "learning_rate": 0.0004567699836867863, "loss": 1.3898, "step": 4210 }, { "epoch": 0.97, "learning_rate": 0.00045665346073176416, "loss": 1.3249, "step": 4220 }, { "epoch": 0.97, "learning_rate": 0.00045653693777674206, "loss": 1.2951, "step": 4230 }, { "epoch": 0.98, "learning_rate": 0.00045642041482171986, "loss": 1.1313, "step": 4240 }, { "epoch": 0.98, "learning_rate": 0.00045630389186669776, "loss": 1.234, "step": 4250 }, { "epoch": 0.98, "learning_rate": 0.0004561873689116756, "loss": 1.2596, "step": 4260 }, { "epoch": 0.98, "learning_rate": 0.0004560708459566535, "loss": 1.2363, "step": 4270 }, { "epoch": 0.99, "learning_rate": 0.0004559543230016313, "loss": 1.0825, "step": 4280 }, { "epoch": 0.99, "learning_rate": 0.0004558378000466092, "loss": 1.1746, "step": 4290 }, { "epoch": 0.99, "learning_rate": 0.00045572127709158706, "loss": 1.3537, "step": 4300 }, { "epoch": 0.99, "learning_rate": 0.00045560475413656496, "loss": 1.1291, "step": 4310 }, { "epoch": 1.0, "learning_rate": 0.00045548823118154275, "loss": 1.165, "step": 4320 }, { "epoch": 1.0, "learning_rate": 0.00045537170822652066, "loss": 1.2263, "step": 4330 }, { "epoch": 1.0, "learning_rate": 0.0004552551852714985, "loss": 1.1819, "step": 4340 }, { "epoch": 1.0, "eval_Bleu_1": 0.004562230879638888, "eval_Bleu_2": 1.832697466618859e-11, "eval_Bleu_3": 3.2617476367192263e-14, "eval_Bleu_4": 1.4785080931925696e-15, "eval_ROUGE_L": 0.007574926108851014, "eval_cer": 0.6058397695082681, "eval_em": 0.4438259109311741, "eval_f1": 0.6230237395969866, "eval_loss": 1.157799243927002, "eval_runtime": 355.2702, "eval_samples_per_second": 16.686, "eval_steps_per_second": 3.338, "eval_wer": 0.7307975977241598, "step": 4341 }, { "epoch": 1.0, "learning_rate": 0.0004551386623164764, "loss": 1.0483, "step": 4350 }, { "epoch": 1.0, "learning_rate": 0.0004550221393614542, "loss": 0.9632, "step": 4360 }, { "epoch": 1.01, "learning_rate": 0.00045490561640643205, "loss": 1.0083, "step": 4370 }, { "epoch": 1.01, "learning_rate": 0.00045478909345140995, "loss": 0.861, "step": 4380 }, { "epoch": 1.01, "learning_rate": 0.00045467257049638775, "loss": 0.9485, "step": 4390 }, { "epoch": 1.01, "learning_rate": 0.00045455604754136565, "loss": 0.899, "step": 4400 }, { "epoch": 1.02, "learning_rate": 0.0004544395245863435, "loss": 0.9807, "step": 4410 }, { "epoch": 1.02, "learning_rate": 0.0004543230016313214, "loss": 0.9033, "step": 4420 }, { "epoch": 1.02, "learning_rate": 0.0004542064786762992, "loss": 0.8492, "step": 4430 }, { "epoch": 1.02, "learning_rate": 0.0004540899557212771, "loss": 0.9586, "step": 4440 }, { "epoch": 1.03, "learning_rate": 0.00045397343276625495, "loss": 0.9832, "step": 4450 }, { "epoch": 1.03, "learning_rate": 0.00045385690981123285, "loss": 0.8696, "step": 4460 }, { "epoch": 1.03, "learning_rate": 0.00045374038685621064, "loss": 0.8504, "step": 4470 }, { "epoch": 1.03, "learning_rate": 0.00045362386390118855, "loss": 0.8982, "step": 4480 }, { "epoch": 1.03, "learning_rate": 0.0004535073409461664, "loss": 0.9312, "step": 4490 }, { "epoch": 1.04, "learning_rate": 0.0004533908179911443, "loss": 0.8821, "step": 4500 }, { "epoch": 1.04, "learning_rate": 0.0004532742950361221, "loss": 0.9766, "step": 4510 }, { "epoch": 1.04, "learning_rate": 0.0004531577720811, "loss": 0.8721, "step": 4520 }, { "epoch": 1.04, "learning_rate": 0.00045304124912607784, "loss": 0.9112, "step": 4530 }, { "epoch": 1.05, "learning_rate": 0.00045292472617105574, "loss": 0.9845, "step": 4540 }, { "epoch": 1.05, "learning_rate": 0.00045280820321603354, "loss": 0.8542, "step": 4550 }, { "epoch": 1.05, "learning_rate": 0.00045269168026101144, "loss": 0.7962, "step": 4560 }, { "epoch": 1.05, "learning_rate": 0.0004525751573059893, "loss": 1.0538, "step": 4570 }, { "epoch": 1.05, "learning_rate": 0.00045245863435096714, "loss": 0.8934, "step": 4580 }, { "epoch": 1.06, "learning_rate": 0.000452342111395945, "loss": 0.7979, "step": 4590 }, { "epoch": 1.06, "learning_rate": 0.0004522255884409229, "loss": 0.8273, "step": 4600 }, { "epoch": 1.06, "learning_rate": 0.00045210906548590074, "loss": 0.9187, "step": 4610 }, { "epoch": 1.06, "learning_rate": 0.0004519925425308786, "loss": 0.8956, "step": 4620 }, { "epoch": 1.07, "learning_rate": 0.00045187601957585643, "loss": 0.8595, "step": 4630 }, { "epoch": 1.07, "learning_rate": 0.00045175949662083434, "loss": 0.9169, "step": 4640 }, { "epoch": 1.07, "learning_rate": 0.0004516429736658122, "loss": 1.0031, "step": 4650 }, { "epoch": 1.07, "learning_rate": 0.00045152645071079003, "loss": 0.9034, "step": 4660 }, { "epoch": 1.08, "learning_rate": 0.0004514099277557679, "loss": 0.9478, "step": 4670 }, { "epoch": 1.08, "learning_rate": 0.0004512934048007458, "loss": 1.0032, "step": 4680 }, { "epoch": 1.08, "learning_rate": 0.00045117688184572363, "loss": 0.8712, "step": 4690 }, { "epoch": 1.08, "learning_rate": 0.0004510603588907015, "loss": 1.0547, "step": 4700 }, { "epoch": 1.08, "learning_rate": 0.00045094383593567933, "loss": 0.8324, "step": 4710 }, { "epoch": 1.09, "learning_rate": 0.00045082731298065723, "loss": 0.8245, "step": 4720 }, { "epoch": 1.09, "learning_rate": 0.0004507107900256351, "loss": 0.9643, "step": 4730 }, { "epoch": 1.09, "learning_rate": 0.00045059426707061293, "loss": 0.9543, "step": 4740 }, { "epoch": 1.09, "learning_rate": 0.0004504777441155908, "loss": 0.8372, "step": 4750 }, { "epoch": 1.1, "learning_rate": 0.0004503612211605687, "loss": 0.8607, "step": 4760 }, { "epoch": 1.1, "learning_rate": 0.0004502446982055465, "loss": 0.9938, "step": 4770 }, { "epoch": 1.1, "learning_rate": 0.0004501281752505244, "loss": 0.847, "step": 4780 }, { "epoch": 1.1, "learning_rate": 0.0004500116522955022, "loss": 1.0042, "step": 4790 }, { "epoch": 1.11, "learning_rate": 0.00044989512934048013, "loss": 0.798, "step": 4800 }, { "epoch": 1.11, "learning_rate": 0.0004497786063854579, "loss": 1.0318, "step": 4810 }, { "epoch": 1.11, "learning_rate": 0.0004496620834304358, "loss": 0.9688, "step": 4820 }, { "epoch": 1.11, "learning_rate": 0.00044954556047541367, "loss": 0.9583, "step": 4830 }, { "epoch": 1.11, "learning_rate": 0.0004494290375203916, "loss": 0.8226, "step": 4840 }, { "epoch": 1.12, "learning_rate": 0.00044931251456536937, "loss": 0.9248, "step": 4850 }, { "epoch": 1.12, "learning_rate": 0.0004491959916103472, "loss": 0.8285, "step": 4860 }, { "epoch": 1.12, "learning_rate": 0.0004490794686553251, "loss": 0.7634, "step": 4870 }, { "epoch": 1.12, "learning_rate": 0.00044896294570030297, "loss": 0.8457, "step": 4880 }, { "epoch": 1.13, "learning_rate": 0.0004488464227452808, "loss": 1.01, "step": 4890 }, { "epoch": 1.13, "learning_rate": 0.00044872989979025867, "loss": 0.8146, "step": 4900 }, { "epoch": 1.13, "learning_rate": 0.00044861337683523657, "loss": 0.895, "step": 4910 }, { "epoch": 1.13, "learning_rate": 0.00044849685388021436, "loss": 0.8456, "step": 4920 }, { "epoch": 1.14, "learning_rate": 0.00044838033092519226, "loss": 0.8982, "step": 4930 }, { "epoch": 1.14, "learning_rate": 0.0004482638079701701, "loss": 1.0002, "step": 4940 }, { "epoch": 1.14, "learning_rate": 0.000448147285015148, "loss": 0.9766, "step": 4950 }, { "epoch": 1.14, "learning_rate": 0.0004480307620601258, "loss": 0.8912, "step": 4960 }, { "epoch": 1.14, "learning_rate": 0.0004479142391051037, "loss": 0.9753, "step": 4970 }, { "epoch": 1.15, "learning_rate": 0.00044779771615008156, "loss": 0.9715, "step": 4980 }, { "epoch": 1.15, "learning_rate": 0.00044768119319505946, "loss": 0.9285, "step": 4990 }, { "epoch": 1.15, "learning_rate": 0.00044756467024003726, "loss": 0.9086, "step": 5000 }, { "epoch": 1.15, "learning_rate": 0.00044744814728501516, "loss": 0.9184, "step": 5010 }, { "epoch": 1.16, "learning_rate": 0.000447331624329993, "loss": 0.7753, "step": 5020 }, { "epoch": 1.16, "learning_rate": 0.0004472151013749709, "loss": 0.8555, "step": 5030 }, { "epoch": 1.16, "learning_rate": 0.0004470985784199487, "loss": 0.8246, "step": 5040 }, { "epoch": 1.16, "learning_rate": 0.0004469820554649266, "loss": 0.9383, "step": 5050 }, { "epoch": 1.17, "learning_rate": 0.00044686553250990446, "loss": 0.9073, "step": 5060 }, { "epoch": 1.17, "learning_rate": 0.00044674900955488236, "loss": 0.8755, "step": 5070 }, { "epoch": 1.17, "learning_rate": 0.00044663248659986015, "loss": 0.9361, "step": 5080 }, { "epoch": 1.17, "learning_rate": 0.00044651596364483806, "loss": 0.8497, "step": 5090 }, { "epoch": 1.17, "learning_rate": 0.0004463994406898159, "loss": 1.0263, "step": 5100 }, { "epoch": 1.18, "learning_rate": 0.00044628291773479375, "loss": 1.0664, "step": 5110 }, { "epoch": 1.18, "learning_rate": 0.0004461663947797716, "loss": 0.9687, "step": 5120 }, { "epoch": 1.18, "learning_rate": 0.0004460498718247495, "loss": 0.9282, "step": 5130 }, { "epoch": 1.18, "learning_rate": 0.00044593334886972735, "loss": 0.9985, "step": 5140 }, { "epoch": 1.19, "learning_rate": 0.0004458168259147052, "loss": 0.9896, "step": 5150 }, { "epoch": 1.19, "learning_rate": 0.00044570030295968305, "loss": 0.9017, "step": 5160 }, { "epoch": 1.19, "learning_rate": 0.00044558378000466095, "loss": 0.8536, "step": 5170 }, { "epoch": 1.19, "learning_rate": 0.0004454672570496388, "loss": 0.6861, "step": 5180 }, { "epoch": 1.2, "learning_rate": 0.00044535073409461665, "loss": 0.9811, "step": 5190 }, { "epoch": 1.2, "learning_rate": 0.0004452342111395945, "loss": 0.8626, "step": 5200 }, { "epoch": 1.2, "learning_rate": 0.0004451176881845724, "loss": 0.8912, "step": 5210 }, { "epoch": 1.2, "learning_rate": 0.00044500116522955025, "loss": 0.9315, "step": 5220 }, { "epoch": 1.2, "learning_rate": 0.0004448846422745281, "loss": 0.9026, "step": 5230 }, { "epoch": 1.21, "learning_rate": 0.00044476811931950594, "loss": 0.9576, "step": 5240 }, { "epoch": 1.21, "learning_rate": 0.00044465159636448385, "loss": 0.9743, "step": 5250 }, { "epoch": 1.21, "learning_rate": 0.0004445350734094617, "loss": 0.8514, "step": 5260 }, { "epoch": 1.21, "learning_rate": 0.00044441855045443954, "loss": 0.7854, "step": 5270 }, { "epoch": 1.22, "learning_rate": 0.0004443020274994174, "loss": 0.9221, "step": 5280 }, { "epoch": 1.22, "learning_rate": 0.0004441855045443953, "loss": 0.9368, "step": 5290 }, { "epoch": 1.22, "learning_rate": 0.0004440689815893731, "loss": 0.8692, "step": 5300 }, { "epoch": 1.22, "learning_rate": 0.000443952458634351, "loss": 0.94, "step": 5310 }, { "epoch": 1.23, "learning_rate": 0.00044383593567932884, "loss": 0.888, "step": 5320 }, { "epoch": 1.23, "learning_rate": 0.0004437194127243067, "loss": 0.8532, "step": 5330 }, { "epoch": 1.23, "learning_rate": 0.00044360288976928454, "loss": 0.8541, "step": 5340 }, { "epoch": 1.23, "learning_rate": 0.0004434863668142624, "loss": 0.7617, "step": 5350 }, { "epoch": 1.23, "learning_rate": 0.0004433698438592403, "loss": 0.9921, "step": 5360 }, { "epoch": 1.24, "learning_rate": 0.00044325332090421814, "loss": 0.9467, "step": 5370 }, { "epoch": 1.24, "learning_rate": 0.000443136797949196, "loss": 1.0556, "step": 5380 }, { "epoch": 1.24, "learning_rate": 0.00044302027499417383, "loss": 0.8402, "step": 5390 }, { "epoch": 1.24, "learning_rate": 0.00044290375203915173, "loss": 0.9111, "step": 5400 }, { "epoch": 1.25, "learning_rate": 0.0004427872290841296, "loss": 0.9139, "step": 5410 }, { "epoch": 1.25, "learning_rate": 0.00044267070612910743, "loss": 0.8888, "step": 5420 }, { "epoch": 1.25, "learning_rate": 0.0004425541831740853, "loss": 0.8642, "step": 5430 }, { "epoch": 1.25, "learning_rate": 0.0004424376602190632, "loss": 1.0252, "step": 5440 }, { "epoch": 1.26, "learning_rate": 0.00044232113726404103, "loss": 0.8512, "step": 5450 }, { "epoch": 1.26, "learning_rate": 0.0004422046143090189, "loss": 0.8371, "step": 5460 }, { "epoch": 1.26, "learning_rate": 0.00044208809135399673, "loss": 0.9973, "step": 5470 }, { "epoch": 1.26, "learning_rate": 0.00044197156839897463, "loss": 0.9172, "step": 5480 }, { "epoch": 1.26, "learning_rate": 0.0004418550454439524, "loss": 0.9916, "step": 5490 }, { "epoch": 1.27, "learning_rate": 0.0004417385224889303, "loss": 1.0238, "step": 5500 }, { "epoch": 1.27, "learning_rate": 0.0004416219995339082, "loss": 0.8475, "step": 5510 }, { "epoch": 1.27, "learning_rate": 0.0004415054765788861, "loss": 0.9013, "step": 5520 }, { "epoch": 1.27, "learning_rate": 0.00044138895362386387, "loss": 0.9205, "step": 5530 }, { "epoch": 1.28, "learning_rate": 0.0004412724306688418, "loss": 0.7697, "step": 5540 }, { "epoch": 1.28, "learning_rate": 0.0004411559077138196, "loss": 0.9124, "step": 5550 }, { "epoch": 1.28, "learning_rate": 0.0004410393847587975, "loss": 1.0096, "step": 5560 }, { "epoch": 1.28, "learning_rate": 0.0004409228618037753, "loss": 1.0114, "step": 5570 }, { "epoch": 1.29, "learning_rate": 0.0004408063388487532, "loss": 0.8859, "step": 5580 }, { "epoch": 1.29, "learning_rate": 0.00044068981589373107, "loss": 1.1045, "step": 5590 }, { "epoch": 1.29, "learning_rate": 0.000440573292938709, "loss": 0.8819, "step": 5600 }, { "epoch": 1.29, "learning_rate": 0.00044045676998368677, "loss": 0.9543, "step": 5610 }, { "epoch": 1.29, "learning_rate": 0.00044034024702866467, "loss": 0.8881, "step": 5620 }, { "epoch": 1.3, "learning_rate": 0.0004402237240736425, "loss": 0.8167, "step": 5630 }, { "epoch": 1.3, "learning_rate": 0.0004401072011186204, "loss": 0.8464, "step": 5640 }, { "epoch": 1.3, "learning_rate": 0.0004399906781635982, "loss": 0.8874, "step": 5650 }, { "epoch": 1.3, "learning_rate": 0.0004398741552085761, "loss": 0.9212, "step": 5660 }, { "epoch": 1.31, "learning_rate": 0.00043975763225355397, "loss": 0.868, "step": 5670 }, { "epoch": 1.31, "learning_rate": 0.0004396411092985318, "loss": 0.9033, "step": 5680 }, { "epoch": 1.31, "learning_rate": 0.00043952458634350966, "loss": 0.9567, "step": 5690 }, { "epoch": 1.31, "learning_rate": 0.00043940806338848757, "loss": 0.9298, "step": 5700 }, { "epoch": 1.32, "learning_rate": 0.0004392915404334654, "loss": 0.8746, "step": 5710 }, { "epoch": 1.32, "learning_rate": 0.00043917501747844326, "loss": 0.9638, "step": 5720 }, { "epoch": 1.32, "learning_rate": 0.0004390584945234211, "loss": 0.8256, "step": 5730 }, { "epoch": 1.32, "learning_rate": 0.000438941971568399, "loss": 0.9559, "step": 5740 }, { "epoch": 1.32, "learning_rate": 0.00043882544861337686, "loss": 0.866, "step": 5750 }, { "epoch": 1.33, "learning_rate": 0.0004387089256583547, "loss": 0.83, "step": 5760 }, { "epoch": 1.33, "learning_rate": 0.00043859240270333256, "loss": 0.8454, "step": 5770 }, { "epoch": 1.33, "learning_rate": 0.00043847587974831046, "loss": 0.8315, "step": 5780 }, { "epoch": 1.33, "learning_rate": 0.0004383593567932883, "loss": 0.9442, "step": 5790 }, { "epoch": 1.34, "learning_rate": 0.0004382428338382661, "loss": 0.808, "step": 5800 }, { "epoch": 1.34, "learning_rate": 0.000438126310883244, "loss": 1.0284, "step": 5810 }, { "epoch": 1.34, "learning_rate": 0.00043800978792822185, "loss": 0.882, "step": 5820 }, { "epoch": 1.34, "learning_rate": 0.00043789326497319976, "loss": 0.9005, "step": 5830 }, { "epoch": 1.35, "learning_rate": 0.00043777674201817755, "loss": 0.8253, "step": 5840 }, { "epoch": 1.35, "learning_rate": 0.00043766021906315545, "loss": 0.995, "step": 5850 }, { "epoch": 1.35, "learning_rate": 0.0004375436961081333, "loss": 0.8564, "step": 5860 }, { "epoch": 1.35, "learning_rate": 0.00043742717315311115, "loss": 1.0516, "step": 5870 }, { "epoch": 1.35, "learning_rate": 0.000437310650198089, "loss": 0.8854, "step": 5880 }, { "epoch": 1.36, "learning_rate": 0.0004371941272430669, "loss": 0.9493, "step": 5890 }, { "epoch": 1.36, "learning_rate": 0.00043707760428804475, "loss": 0.9142, "step": 5900 }, { "epoch": 1.36, "learning_rate": 0.0004369610813330226, "loss": 0.8572, "step": 5910 }, { "epoch": 1.36, "learning_rate": 0.00043684455837800045, "loss": 0.7193, "step": 5920 }, { "epoch": 1.37, "learning_rate": 0.00043672803542297835, "loss": 0.9045, "step": 5930 }, { "epoch": 1.37, "learning_rate": 0.0004366115124679562, "loss": 0.9262, "step": 5940 }, { "epoch": 1.37, "learning_rate": 0.00043649498951293405, "loss": 0.7985, "step": 5950 }, { "epoch": 1.37, "learning_rate": 0.0004363784665579119, "loss": 0.7903, "step": 5960 }, { "epoch": 1.38, "learning_rate": 0.0004362619436028898, "loss": 0.8705, "step": 5970 }, { "epoch": 1.38, "learning_rate": 0.00043614542064786765, "loss": 0.9021, "step": 5980 }, { "epoch": 1.38, "learning_rate": 0.0004360288976928455, "loss": 0.7522, "step": 5990 }, { "epoch": 1.38, "learning_rate": 0.00043591237473782334, "loss": 0.9521, "step": 6000 }, { "epoch": 1.38, "learning_rate": 0.00043579585178280124, "loss": 0.9453, "step": 6010 }, { "epoch": 1.39, "learning_rate": 0.0004356793288277791, "loss": 0.81, "step": 6020 }, { "epoch": 1.39, "learning_rate": 0.00043556280587275694, "loss": 0.9281, "step": 6030 }, { "epoch": 1.39, "learning_rate": 0.0004354462829177348, "loss": 0.8549, "step": 6040 }, { "epoch": 1.39, "learning_rate": 0.0004353297599627127, "loss": 0.9825, "step": 6050 }, { "epoch": 1.4, "learning_rate": 0.0004352132370076905, "loss": 0.945, "step": 6060 }, { "epoch": 1.4, "learning_rate": 0.0004350967140526684, "loss": 0.6956, "step": 6070 }, { "epoch": 1.4, "learning_rate": 0.00043498019109764624, "loss": 0.9248, "step": 6080 }, { "epoch": 1.4, "learning_rate": 0.00043486366814262414, "loss": 0.8503, "step": 6090 }, { "epoch": 1.41, "learning_rate": 0.00043474714518760193, "loss": 0.9704, "step": 6100 }, { "epoch": 1.41, "learning_rate": 0.00043463062223257984, "loss": 0.9158, "step": 6110 }, { "epoch": 1.41, "learning_rate": 0.0004345140992775577, "loss": 0.8862, "step": 6120 }, { "epoch": 1.41, "learning_rate": 0.0004343975763225356, "loss": 0.7859, "step": 6130 }, { "epoch": 1.41, "learning_rate": 0.0004342810533675134, "loss": 0.8887, "step": 6140 }, { "epoch": 1.42, "learning_rate": 0.0004341645304124913, "loss": 0.7453, "step": 6150 }, { "epoch": 1.42, "learning_rate": 0.00043404800745746913, "loss": 0.8689, "step": 6160 }, { "epoch": 1.42, "learning_rate": 0.00043393148450244704, "loss": 0.7721, "step": 6170 }, { "epoch": 1.42, "learning_rate": 0.00043381496154742483, "loss": 0.843, "step": 6180 }, { "epoch": 1.43, "learning_rate": 0.00043369843859240273, "loss": 0.9345, "step": 6190 }, { "epoch": 1.43, "learning_rate": 0.0004335819156373806, "loss": 0.8555, "step": 6200 }, { "epoch": 1.43, "learning_rate": 0.00043346539268235843, "loss": 0.8983, "step": 6210 }, { "epoch": 1.43, "learning_rate": 0.0004333488697273363, "loss": 0.8739, "step": 6220 }, { "epoch": 1.44, "learning_rate": 0.0004332323467723142, "loss": 0.9557, "step": 6230 }, { "epoch": 1.44, "learning_rate": 0.00043311582381729203, "loss": 0.9242, "step": 6240 }, { "epoch": 1.44, "learning_rate": 0.0004329993008622699, "loss": 0.778, "step": 6250 }, { "epoch": 1.44, "learning_rate": 0.0004328827779072477, "loss": 0.8425, "step": 6260 }, { "epoch": 1.44, "learning_rate": 0.00043276625495222563, "loss": 0.8424, "step": 6270 }, { "epoch": 1.45, "learning_rate": 0.0004326497319972035, "loss": 0.9171, "step": 6280 }, { "epoch": 1.45, "learning_rate": 0.00043253320904218127, "loss": 0.9715, "step": 6290 }, { "epoch": 1.45, "learning_rate": 0.0004324166860871592, "loss": 0.7575, "step": 6300 }, { "epoch": 1.45, "learning_rate": 0.000432300163132137, "loss": 0.8489, "step": 6310 }, { "epoch": 1.46, "learning_rate": 0.0004321836401771149, "loss": 0.8243, "step": 6320 }, { "epoch": 1.46, "learning_rate": 0.0004320671172220927, "loss": 0.8604, "step": 6330 }, { "epoch": 1.46, "learning_rate": 0.0004319505942670706, "loss": 0.9974, "step": 6340 }, { "epoch": 1.46, "learning_rate": 0.00043183407131204847, "loss": 0.9065, "step": 6350 }, { "epoch": 1.47, "learning_rate": 0.00043171754835702637, "loss": 0.8044, "step": 6360 }, { "epoch": 1.47, "learning_rate": 0.00043160102540200417, "loss": 0.9111, "step": 6370 }, { "epoch": 1.47, "learning_rate": 0.00043148450244698207, "loss": 0.9364, "step": 6380 }, { "epoch": 1.47, "learning_rate": 0.0004313679794919599, "loss": 0.8497, "step": 6390 }, { "epoch": 1.47, "learning_rate": 0.00043125145653693777, "loss": 0.8877, "step": 6400 }, { "epoch": 1.48, "learning_rate": 0.0004311349335819156, "loss": 0.8173, "step": 6410 }, { "epoch": 1.48, "learning_rate": 0.0004310184106268935, "loss": 0.946, "step": 6420 }, { "epoch": 1.48, "learning_rate": 0.00043090188767187136, "loss": 0.9376, "step": 6430 }, { "epoch": 1.48, "learning_rate": 0.0004307853647168492, "loss": 0.85, "step": 6440 }, { "epoch": 1.49, "learning_rate": 0.00043066884176182706, "loss": 0.8629, "step": 6450 }, { "epoch": 1.49, "learning_rate": 0.00043055231880680496, "loss": 0.8033, "step": 6460 }, { "epoch": 1.49, "learning_rate": 0.0004304357958517828, "loss": 1.0201, "step": 6470 }, { "epoch": 1.49, "learning_rate": 0.00043031927289676066, "loss": 0.8825, "step": 6480 }, { "epoch": 1.49, "learning_rate": 0.0004302027499417385, "loss": 0.8825, "step": 6490 }, { "epoch": 1.5, "learning_rate": 0.0004300862269867164, "loss": 0.7078, "step": 6500 }, { "epoch": 1.5, "learning_rate": 0.00042996970403169426, "loss": 0.8709, "step": 6510 }, { "epoch": 1.5, "learning_rate": 0.0004298531810766721, "loss": 0.8811, "step": 6520 }, { "epoch": 1.5, "learning_rate": 0.00042973665812164996, "loss": 0.7586, "step": 6530 }, { "epoch": 1.51, "learning_rate": 0.00042962013516662786, "loss": 0.925, "step": 6540 }, { "epoch": 1.51, "learning_rate": 0.0004295036122116057, "loss": 0.8418, "step": 6550 }, { "epoch": 1.51, "learning_rate": 0.00042938708925658356, "loss": 0.806, "step": 6560 }, { "epoch": 1.51, "learning_rate": 0.0004292705663015614, "loss": 0.864, "step": 6570 }, { "epoch": 1.52, "learning_rate": 0.0004291540433465393, "loss": 0.8085, "step": 6580 }, { "epoch": 1.52, "learning_rate": 0.0004290375203915171, "loss": 1.0106, "step": 6590 }, { "epoch": 1.52, "learning_rate": 0.000428920997436495, "loss": 0.9069, "step": 6600 }, { "epoch": 1.52, "learning_rate": 0.00042880447448147285, "loss": 0.8129, "step": 6610 }, { "epoch": 1.52, "learning_rate": 0.00042868795152645076, "loss": 0.846, "step": 6620 }, { "epoch": 1.53, "learning_rate": 0.00042857142857142855, "loss": 0.8213, "step": 6630 }, { "epoch": 1.53, "learning_rate": 0.00042845490561640645, "loss": 0.821, "step": 6640 }, { "epoch": 1.53, "learning_rate": 0.0004283383826613843, "loss": 0.8194, "step": 6650 }, { "epoch": 1.53, "learning_rate": 0.0004282218597063622, "loss": 0.7394, "step": 6660 }, { "epoch": 1.54, "learning_rate": 0.00042810533675134, "loss": 0.9139, "step": 6670 }, { "epoch": 1.54, "learning_rate": 0.0004279888137963179, "loss": 0.8334, "step": 6680 }, { "epoch": 1.54, "learning_rate": 0.00042787229084129575, "loss": 0.7381, "step": 6690 }, { "epoch": 1.54, "learning_rate": 0.00042775576788627365, "loss": 0.7279, "step": 6700 }, { "epoch": 1.55, "learning_rate": 0.00042763924493125144, "loss": 0.9201, "step": 6710 }, { "epoch": 1.55, "learning_rate": 0.00042752272197622935, "loss": 0.8286, "step": 6720 }, { "epoch": 1.55, "learning_rate": 0.0004274061990212072, "loss": 0.8908, "step": 6730 }, { "epoch": 1.55, "learning_rate": 0.0004272896760661851, "loss": 0.8951, "step": 6740 }, { "epoch": 1.55, "learning_rate": 0.0004271731531111629, "loss": 0.8557, "step": 6750 }, { "epoch": 1.56, "learning_rate": 0.0004270566301561408, "loss": 0.8737, "step": 6760 }, { "epoch": 1.56, "learning_rate": 0.00042694010720111864, "loss": 0.8117, "step": 6770 }, { "epoch": 1.56, "learning_rate": 0.00042682358424609644, "loss": 0.8245, "step": 6780 }, { "epoch": 1.56, "learning_rate": 0.00042670706129107434, "loss": 0.8187, "step": 6790 }, { "epoch": 1.57, "learning_rate": 0.0004265905383360522, "loss": 0.7613, "step": 6800 }, { "epoch": 1.57, "learning_rate": 0.0004264740153810301, "loss": 0.9373, "step": 6810 }, { "epoch": 1.57, "learning_rate": 0.0004263574924260079, "loss": 0.9169, "step": 6820 }, { "epoch": 1.57, "learning_rate": 0.0004262409694709858, "loss": 0.831, "step": 6830 }, { "epoch": 1.58, "learning_rate": 0.00042612444651596364, "loss": 0.8466, "step": 6840 }, { "epoch": 1.58, "learning_rate": 0.00042600792356094154, "loss": 0.8031, "step": 6850 }, { "epoch": 1.58, "learning_rate": 0.00042589140060591933, "loss": 1.0256, "step": 6860 }, { "epoch": 1.58, "learning_rate": 0.00042577487765089724, "loss": 0.8324, "step": 6870 }, { "epoch": 1.58, "learning_rate": 0.0004256583546958751, "loss": 0.8445, "step": 6880 }, { "epoch": 1.59, "learning_rate": 0.000425541831740853, "loss": 0.8516, "step": 6890 }, { "epoch": 1.59, "learning_rate": 0.0004254253087858308, "loss": 0.6436, "step": 6900 }, { "epoch": 1.59, "learning_rate": 0.0004253087858308087, "loss": 0.8925, "step": 6910 }, { "epoch": 1.59, "learning_rate": 0.00042519226287578653, "loss": 0.8912, "step": 6920 }, { "epoch": 1.6, "learning_rate": 0.00042507573992076443, "loss": 0.959, "step": 6930 }, { "epoch": 1.6, "learning_rate": 0.00042495921696574223, "loss": 0.9026, "step": 6940 }, { "epoch": 1.6, "learning_rate": 0.00042484269401072013, "loss": 0.8484, "step": 6950 }, { "epoch": 1.6, "learning_rate": 0.000424726171055698, "loss": 0.9602, "step": 6960 }, { "epoch": 1.61, "learning_rate": 0.00042460964810067583, "loss": 0.7942, "step": 6970 }, { "epoch": 1.61, "learning_rate": 0.0004244931251456537, "loss": 0.9194, "step": 6980 }, { "epoch": 1.61, "learning_rate": 0.0004243766021906316, "loss": 0.8724, "step": 6990 }, { "epoch": 1.61, "learning_rate": 0.00042426007923560943, "loss": 0.8077, "step": 7000 }, { "epoch": 1.61, "learning_rate": 0.0004241435562805873, "loss": 0.8402, "step": 7010 }, { "epoch": 1.62, "learning_rate": 0.0004240270333255651, "loss": 0.8272, "step": 7020 }, { "epoch": 1.62, "learning_rate": 0.000423910510370543, "loss": 0.8768, "step": 7030 }, { "epoch": 1.62, "learning_rate": 0.0004237939874155209, "loss": 0.8291, "step": 7040 }, { "epoch": 1.62, "learning_rate": 0.0004236774644604987, "loss": 0.8288, "step": 7050 }, { "epoch": 1.63, "learning_rate": 0.00042356094150547657, "loss": 0.8869, "step": 7060 }, { "epoch": 1.63, "learning_rate": 0.0004234444185504545, "loss": 0.9815, "step": 7070 }, { "epoch": 1.63, "learning_rate": 0.0004233278955954323, "loss": 0.8464, "step": 7080 }, { "epoch": 1.63, "learning_rate": 0.00042321137264041017, "loss": 0.8099, "step": 7090 }, { "epoch": 1.64, "learning_rate": 0.000423094849685388, "loss": 0.8248, "step": 7100 }, { "epoch": 1.64, "learning_rate": 0.0004229783267303659, "loss": 0.8718, "step": 7110 }, { "epoch": 1.64, "learning_rate": 0.00042286180377534377, "loss": 0.674, "step": 7120 }, { "epoch": 1.64, "learning_rate": 0.0004227452808203216, "loss": 0.8456, "step": 7130 }, { "epoch": 1.64, "learning_rate": 0.00042262875786529947, "loss": 0.8607, "step": 7140 }, { "epoch": 1.65, "learning_rate": 0.00042251223491027737, "loss": 0.7995, "step": 7150 }, { "epoch": 1.65, "learning_rate": 0.00042239571195525516, "loss": 0.8364, "step": 7160 }, { "epoch": 1.65, "learning_rate": 0.00042227918900023307, "loss": 0.8575, "step": 7170 }, { "epoch": 1.65, "learning_rate": 0.0004221626660452109, "loss": 0.7937, "step": 7180 }, { "epoch": 1.66, "learning_rate": 0.0004220461430901888, "loss": 0.7883, "step": 7190 }, { "epoch": 1.66, "learning_rate": 0.0004219296201351666, "loss": 0.8459, "step": 7200 }, { "epoch": 1.66, "learning_rate": 0.0004218130971801445, "loss": 0.7338, "step": 7210 }, { "epoch": 1.66, "learning_rate": 0.00042169657422512236, "loss": 0.8326, "step": 7220 }, { "epoch": 1.67, "learning_rate": 0.00042158005127010027, "loss": 0.7968, "step": 7230 }, { "epoch": 1.67, "learning_rate": 0.00042146352831507806, "loss": 0.8392, "step": 7240 }, { "epoch": 1.67, "learning_rate": 0.0004213470053600559, "loss": 0.7962, "step": 7250 }, { "epoch": 1.67, "learning_rate": 0.0004212304824050338, "loss": 0.8887, "step": 7260 }, { "epoch": 1.67, "learning_rate": 0.00042111395945001166, "loss": 0.8364, "step": 7270 }, { "epoch": 1.68, "learning_rate": 0.0004209974364949895, "loss": 0.8338, "step": 7280 }, { "epoch": 1.68, "learning_rate": 0.00042088091353996736, "loss": 0.825, "step": 7290 }, { "epoch": 1.68, "learning_rate": 0.00042076439058494526, "loss": 0.7979, "step": 7300 }, { "epoch": 1.68, "learning_rate": 0.0004206478676299231, "loss": 0.8145, "step": 7310 }, { "epoch": 1.69, "learning_rate": 0.00042053134467490096, "loss": 0.9179, "step": 7320 }, { "epoch": 1.69, "learning_rate": 0.0004204148217198788, "loss": 0.9284, "step": 7330 }, { "epoch": 1.69, "learning_rate": 0.0004202982987648567, "loss": 0.7933, "step": 7340 }, { "epoch": 1.69, "learning_rate": 0.0004201817758098345, "loss": 0.8116, "step": 7350 }, { "epoch": 1.7, "learning_rate": 0.0004200652528548124, "loss": 0.9992, "step": 7360 }, { "epoch": 1.7, "learning_rate": 0.00041994872989979025, "loss": 0.7485, "step": 7370 }, { "epoch": 1.7, "learning_rate": 0.00041983220694476815, "loss": 0.8439, "step": 7380 }, { "epoch": 1.7, "learning_rate": 0.00041971568398974595, "loss": 0.8971, "step": 7390 }, { "epoch": 1.7, "learning_rate": 0.00041959916103472385, "loss": 0.8182, "step": 7400 }, { "epoch": 1.71, "learning_rate": 0.0004194826380797017, "loss": 0.9844, "step": 7410 }, { "epoch": 1.71, "learning_rate": 0.0004193661151246796, "loss": 0.7211, "step": 7420 }, { "epoch": 1.71, "learning_rate": 0.0004192495921696574, "loss": 0.9946, "step": 7430 }, { "epoch": 1.71, "learning_rate": 0.0004191330692146353, "loss": 0.7788, "step": 7440 }, { "epoch": 1.72, "learning_rate": 0.00041901654625961315, "loss": 0.7851, "step": 7450 }, { "epoch": 1.72, "learning_rate": 0.00041890002330459105, "loss": 0.8839, "step": 7460 }, { "epoch": 1.72, "learning_rate": 0.00041878350034956884, "loss": 0.7923, "step": 7470 }, { "epoch": 1.72, "learning_rate": 0.00041866697739454675, "loss": 0.9646, "step": 7480 }, { "epoch": 1.73, "learning_rate": 0.0004185504544395246, "loss": 0.8403, "step": 7490 }, { "epoch": 1.73, "learning_rate": 0.00041843393148450244, "loss": 0.8778, "step": 7500 }, { "epoch": 1.73, "learning_rate": 0.0004183174085294803, "loss": 0.8131, "step": 7510 }, { "epoch": 1.73, "learning_rate": 0.0004182008855744582, "loss": 0.8474, "step": 7520 }, { "epoch": 1.73, "learning_rate": 0.00041808436261943604, "loss": 0.742, "step": 7530 }, { "epoch": 1.74, "learning_rate": 0.0004179678396644139, "loss": 0.8989, "step": 7540 }, { "epoch": 1.74, "learning_rate": 0.00041785131670939174, "loss": 0.9878, "step": 7550 }, { "epoch": 1.74, "learning_rate": 0.00041773479375436964, "loss": 0.8157, "step": 7560 }, { "epoch": 1.74, "learning_rate": 0.0004176182707993475, "loss": 0.7535, "step": 7570 }, { "epoch": 1.75, "learning_rate": 0.00041750174784432534, "loss": 0.7385, "step": 7580 }, { "epoch": 1.75, "learning_rate": 0.0004173852248893032, "loss": 0.7585, "step": 7590 }, { "epoch": 1.75, "learning_rate": 0.0004172687019342811, "loss": 0.7945, "step": 7600 }, { "epoch": 1.75, "learning_rate": 0.00041715217897925894, "loss": 0.9057, "step": 7610 }, { "epoch": 1.76, "learning_rate": 0.0004170356560242368, "loss": 0.9158, "step": 7620 }, { "epoch": 1.76, "learning_rate": 0.00041691913306921463, "loss": 0.7643, "step": 7630 }, { "epoch": 1.76, "learning_rate": 0.00041680261011419254, "loss": 0.9082, "step": 7640 }, { "epoch": 1.76, "learning_rate": 0.0004166860871591704, "loss": 0.8074, "step": 7650 }, { "epoch": 1.76, "learning_rate": 0.00041656956420414823, "loss": 0.8786, "step": 7660 }, { "epoch": 1.77, "learning_rate": 0.0004164530412491261, "loss": 0.8093, "step": 7670 }, { "epoch": 1.77, "learning_rate": 0.000416336518294104, "loss": 0.8411, "step": 7680 }, { "epoch": 1.77, "learning_rate": 0.0004162199953390818, "loss": 0.8258, "step": 7690 }, { "epoch": 1.77, "learning_rate": 0.0004161034723840597, "loss": 0.8163, "step": 7700 }, { "epoch": 1.78, "learning_rate": 0.00041598694942903753, "loss": 0.9144, "step": 7710 }, { "epoch": 1.78, "learning_rate": 0.00041587042647401543, "loss": 0.7808, "step": 7720 }, { "epoch": 1.78, "learning_rate": 0.0004157539035189932, "loss": 0.7541, "step": 7730 }, { "epoch": 1.78, "learning_rate": 0.0004156373805639711, "loss": 0.7985, "step": 7740 }, { "epoch": 1.79, "learning_rate": 0.000415520857608949, "loss": 0.7638, "step": 7750 }, { "epoch": 1.79, "learning_rate": 0.0004154043346539268, "loss": 0.7434, "step": 7760 }, { "epoch": 1.79, "learning_rate": 0.0004152878116989047, "loss": 0.7973, "step": 7770 }, { "epoch": 1.79, "learning_rate": 0.0004151712887438825, "loss": 0.7924, "step": 7780 }, { "epoch": 1.79, "learning_rate": 0.0004150547657888604, "loss": 0.8787, "step": 7790 }, { "epoch": 1.8, "learning_rate": 0.0004149382428338383, "loss": 0.8441, "step": 7800 }, { "epoch": 1.8, "learning_rate": 0.0004148217198788161, "loss": 0.8471, "step": 7810 }, { "epoch": 1.8, "learning_rate": 0.00041470519692379397, "loss": 0.8283, "step": 7820 }, { "epoch": 1.8, "learning_rate": 0.0004145886739687719, "loss": 0.7841, "step": 7830 }, { "epoch": 1.81, "learning_rate": 0.0004144721510137497, "loss": 0.8118, "step": 7840 }, { "epoch": 1.81, "learning_rate": 0.00041435562805872757, "loss": 0.9017, "step": 7850 }, { "epoch": 1.81, "learning_rate": 0.0004142391051037054, "loss": 0.7363, "step": 7860 }, { "epoch": 1.81, "learning_rate": 0.0004141225821486833, "loss": 0.7727, "step": 7870 }, { "epoch": 1.82, "learning_rate": 0.0004140060591936611, "loss": 0.7529, "step": 7880 }, { "epoch": 1.82, "learning_rate": 0.000413889536238639, "loss": 0.8297, "step": 7890 }, { "epoch": 1.82, "learning_rate": 0.00041377301328361687, "loss": 0.8453, "step": 7900 }, { "epoch": 1.82, "learning_rate": 0.00041365649032859477, "loss": 0.7607, "step": 7910 }, { "epoch": 1.82, "learning_rate": 0.00041353996737357256, "loss": 0.787, "step": 7920 }, { "epoch": 1.83, "learning_rate": 0.00041342344441855047, "loss": 0.8017, "step": 7930 }, { "epoch": 1.83, "learning_rate": 0.0004133069214635283, "loss": 0.6971, "step": 7940 }, { "epoch": 1.83, "learning_rate": 0.0004131903985085062, "loss": 0.8197, "step": 7950 }, { "epoch": 1.83, "learning_rate": 0.000413073875553484, "loss": 0.7113, "step": 7960 }, { "epoch": 1.84, "learning_rate": 0.0004129573525984619, "loss": 0.871, "step": 7970 }, { "epoch": 1.84, "learning_rate": 0.00041284082964343976, "loss": 0.7696, "step": 7980 }, { "epoch": 1.84, "learning_rate": 0.00041272430668841766, "loss": 0.7699, "step": 7990 }, { "epoch": 1.84, "learning_rate": 0.00041260778373339546, "loss": 0.9623, "step": 8000 }, { "epoch": 1.85, "learning_rate": 0.00041249126077837336, "loss": 0.7063, "step": 8010 }, { "epoch": 1.85, "learning_rate": 0.0004123747378233512, "loss": 0.811, "step": 8020 }, { "epoch": 1.85, "learning_rate": 0.0004122582148683291, "loss": 0.8056, "step": 8030 }, { "epoch": 1.85, "learning_rate": 0.0004121416919133069, "loss": 0.808, "step": 8040 }, { "epoch": 1.85, "learning_rate": 0.0004120251689582848, "loss": 0.841, "step": 8050 }, { "epoch": 1.86, "learning_rate": 0.00041190864600326266, "loss": 0.7707, "step": 8060 }, { "epoch": 1.86, "learning_rate": 0.0004117921230482405, "loss": 0.7437, "step": 8070 }, { "epoch": 1.86, "learning_rate": 0.00041167560009321835, "loss": 0.8966, "step": 8080 }, { "epoch": 1.86, "learning_rate": 0.00041155907713819626, "loss": 0.7847, "step": 8090 }, { "epoch": 1.87, "learning_rate": 0.0004114425541831741, "loss": 0.7915, "step": 8100 }, { "epoch": 1.87, "learning_rate": 0.00041132603122815195, "loss": 0.8354, "step": 8110 }, { "epoch": 1.87, "learning_rate": 0.0004112095082731298, "loss": 0.7693, "step": 8120 }, { "epoch": 1.87, "learning_rate": 0.0004110929853181077, "loss": 0.7187, "step": 8130 }, { "epoch": 1.88, "learning_rate": 0.00041097646236308555, "loss": 0.7765, "step": 8140 }, { "epoch": 1.88, "learning_rate": 0.0004108599394080634, "loss": 0.8497, "step": 8150 }, { "epoch": 1.88, "learning_rate": 0.00041074341645304125, "loss": 0.7102, "step": 8160 }, { "epoch": 1.88, "learning_rate": 0.00041062689349801915, "loss": 0.746, "step": 8170 }, { "epoch": 1.88, "learning_rate": 0.000410510370542997, "loss": 0.8032, "step": 8180 }, { "epoch": 1.89, "learning_rate": 0.00041039384758797485, "loss": 0.8194, "step": 8190 }, { "epoch": 1.89, "learning_rate": 0.0004102773246329527, "loss": 0.8415, "step": 8200 }, { "epoch": 1.89, "learning_rate": 0.0004101608016779306, "loss": 0.7877, "step": 8210 }, { "epoch": 1.89, "learning_rate": 0.00041004427872290845, "loss": 0.8101, "step": 8220 }, { "epoch": 1.9, "learning_rate": 0.00040992775576788624, "loss": 0.6995, "step": 8230 }, { "epoch": 1.9, "learning_rate": 0.00040981123281286414, "loss": 0.8027, "step": 8240 }, { "epoch": 1.9, "learning_rate": 0.000409694709857842, "loss": 0.8378, "step": 8250 }, { "epoch": 1.9, "learning_rate": 0.00040957818690281984, "loss": 0.7723, "step": 8260 }, { "epoch": 1.9, "learning_rate": 0.0004094616639477977, "loss": 0.7575, "step": 8270 }, { "epoch": 1.91, "learning_rate": 0.0004093451409927756, "loss": 0.7697, "step": 8280 }, { "epoch": 1.91, "learning_rate": 0.00040922861803775344, "loss": 0.8557, "step": 8290 }, { "epoch": 1.91, "learning_rate": 0.0004091120950827313, "loss": 0.8575, "step": 8300 }, { "epoch": 1.91, "learning_rate": 0.00040899557212770914, "loss": 0.8342, "step": 8310 }, { "epoch": 1.92, "learning_rate": 0.00040887904917268704, "loss": 0.7827, "step": 8320 }, { "epoch": 1.92, "learning_rate": 0.0004087625262176649, "loss": 0.822, "step": 8330 }, { "epoch": 1.92, "learning_rate": 0.00040864600326264274, "loss": 0.7081, "step": 8340 }, { "epoch": 1.92, "learning_rate": 0.0004085294803076206, "loss": 0.8076, "step": 8350 }, { "epoch": 1.93, "learning_rate": 0.0004084129573525985, "loss": 0.7991, "step": 8360 }, { "epoch": 1.93, "learning_rate": 0.00040829643439757634, "loss": 0.7308, "step": 8370 }, { "epoch": 1.93, "learning_rate": 0.0004081799114425542, "loss": 0.8929, "step": 8380 }, { "epoch": 1.93, "learning_rate": 0.00040806338848753203, "loss": 0.7839, "step": 8390 }, { "epoch": 1.93, "learning_rate": 0.00040794686553250994, "loss": 0.8352, "step": 8400 }, { "epoch": 1.94, "learning_rate": 0.0004078303425774878, "loss": 0.8239, "step": 8410 }, { "epoch": 1.94, "learning_rate": 0.00040771381962246563, "loss": 0.9054, "step": 8420 }, { "epoch": 1.94, "learning_rate": 0.0004075972966674435, "loss": 1.0012, "step": 8430 }, { "epoch": 1.94, "learning_rate": 0.0004074807737124214, "loss": 0.7988, "step": 8440 }, { "epoch": 1.95, "learning_rate": 0.0004073642507573992, "loss": 0.7011, "step": 8450 }, { "epoch": 1.95, "learning_rate": 0.0004072477278023771, "loss": 0.7976, "step": 8460 }, { "epoch": 1.95, "learning_rate": 0.00040713120484735493, "loss": 0.7668, "step": 8470 }, { "epoch": 1.95, "learning_rate": 0.00040701468189233283, "loss": 0.887, "step": 8480 }, { "epoch": 1.96, "learning_rate": 0.0004068981589373106, "loss": 0.7291, "step": 8490 }, { "epoch": 1.96, "learning_rate": 0.00040678163598228853, "loss": 0.7659, "step": 8500 }, { "epoch": 1.96, "learning_rate": 0.0004066651130272664, "loss": 0.7434, "step": 8510 }, { "epoch": 1.96, "learning_rate": 0.0004065485900722443, "loss": 0.779, "step": 8520 }, { "epoch": 1.96, "learning_rate": 0.0004064320671172221, "loss": 0.717, "step": 8530 }, { "epoch": 1.97, "learning_rate": 0.0004063155441622, "loss": 0.6918, "step": 8540 }, { "epoch": 1.97, "learning_rate": 0.0004061990212071778, "loss": 0.8615, "step": 8550 }, { "epoch": 1.97, "learning_rate": 0.0004060824982521557, "loss": 0.8585, "step": 8560 }, { "epoch": 1.97, "learning_rate": 0.0004059659752971335, "loss": 0.8218, "step": 8570 }, { "epoch": 1.98, "learning_rate": 0.0004058494523421114, "loss": 0.8093, "step": 8580 }, { "epoch": 1.98, "learning_rate": 0.00040573292938708927, "loss": 0.8097, "step": 8590 }, { "epoch": 1.98, "learning_rate": 0.0004056164064320672, "loss": 0.8217, "step": 8600 }, { "epoch": 1.98, "learning_rate": 0.00040549988347704497, "loss": 0.915, "step": 8610 }, { "epoch": 1.99, "learning_rate": 0.00040538336052202287, "loss": 0.7121, "step": 8620 }, { "epoch": 1.99, "learning_rate": 0.0004052668375670007, "loss": 0.7469, "step": 8630 }, { "epoch": 1.99, "learning_rate": 0.00040515031461197857, "loss": 0.7618, "step": 8640 }, { "epoch": 1.99, "learning_rate": 0.0004050337916569564, "loss": 0.7916, "step": 8650 }, { "epoch": 1.99, "learning_rate": 0.0004049172687019343, "loss": 0.7881, "step": 8660 }, { "epoch": 2.0, "learning_rate": 0.00040480074574691217, "loss": 0.932, "step": 8670 }, { "epoch": 2.0, "learning_rate": 0.00040468422279189, "loss": 0.8939, "step": 8680 }, { "epoch": 2.0, "eval_Bleu_1": 0.0061907631622195695, "eval_Bleu_2": 2.2410988520716052e-11, "eval_Bleu_3": 3.913134630236392e-14, "eval_Bleu_4": 1.783965909910145e-15, "eval_ROUGE_L": 0.009656478129255157, "eval_cer": 0.5242234220274556, "eval_em": 0.509952766531714, "eval_f1": 0.6806222594586169, "eval_loss": 0.9325827360153198, "eval_runtime": 333.3233, "eval_samples_per_second": 17.785, "eval_steps_per_second": 3.558, "eval_wer": 0.6251185333473818, "step": 8682 }, { "epoch": 2.0, "learning_rate": 0.00040456769983686786, "loss": 0.5991, "step": 8690 }, { "epoch": 2.0, "learning_rate": 0.0004044511768818457, "loss": 0.5123, "step": 8700 }, { "epoch": 2.01, "learning_rate": 0.0004043346539268236, "loss": 0.4804, "step": 8710 }, { "epoch": 2.01, "learning_rate": 0.0004042181309718014, "loss": 0.5649, "step": 8720 }, { "epoch": 2.01, "learning_rate": 0.0004041016080167793, "loss": 0.5594, "step": 8730 }, { "epoch": 2.01, "learning_rate": 0.00040398508506175716, "loss": 0.6121, "step": 8740 }, { "epoch": 2.02, "learning_rate": 0.00040386856210673506, "loss": 0.4305, "step": 8750 }, { "epoch": 2.02, "learning_rate": 0.00040375203915171286, "loss": 0.5781, "step": 8760 }, { "epoch": 2.02, "learning_rate": 0.00040363551619669076, "loss": 0.5346, "step": 8770 }, { "epoch": 2.02, "learning_rate": 0.0004035189932416686, "loss": 0.5311, "step": 8780 }, { "epoch": 2.02, "learning_rate": 0.00040340247028664646, "loss": 0.5012, "step": 8790 }, { "epoch": 2.03, "learning_rate": 0.0004032859473316243, "loss": 0.5934, "step": 8800 }, { "epoch": 2.03, "learning_rate": 0.0004031694243766022, "loss": 0.5671, "step": 8810 }, { "epoch": 2.03, "learning_rate": 0.00040305290142158006, "loss": 0.518, "step": 8820 }, { "epoch": 2.03, "learning_rate": 0.0004029363784665579, "loss": 0.552, "step": 8830 }, { "epoch": 2.04, "learning_rate": 0.00040281985551153575, "loss": 0.5729, "step": 8840 }, { "epoch": 2.04, "learning_rate": 0.00040270333255651365, "loss": 0.4851, "step": 8850 }, { "epoch": 2.04, "learning_rate": 0.0004025868096014915, "loss": 0.4946, "step": 8860 }, { "epoch": 2.04, "learning_rate": 0.00040247028664646935, "loss": 0.6723, "step": 8870 }, { "epoch": 2.05, "learning_rate": 0.0004023537636914472, "loss": 0.4706, "step": 8880 }, { "epoch": 2.05, "learning_rate": 0.0004022372407364251, "loss": 0.6072, "step": 8890 }, { "epoch": 2.05, "learning_rate": 0.00040212071778140295, "loss": 0.5382, "step": 8900 }, { "epoch": 2.05, "learning_rate": 0.0004020041948263808, "loss": 0.5631, "step": 8910 }, { "epoch": 2.05, "learning_rate": 0.00040188767187135865, "loss": 0.5934, "step": 8920 }, { "epoch": 2.06, "learning_rate": 0.00040177114891633655, "loss": 0.5487, "step": 8930 }, { "epoch": 2.06, "learning_rate": 0.0004016546259613144, "loss": 0.5286, "step": 8940 }, { "epoch": 2.06, "learning_rate": 0.00040153810300629225, "loss": 0.5221, "step": 8950 }, { "epoch": 2.06, "learning_rate": 0.0004014215800512701, "loss": 0.527, "step": 8960 }, { "epoch": 2.07, "learning_rate": 0.000401305057096248, "loss": 0.4899, "step": 8970 }, { "epoch": 2.07, "learning_rate": 0.0004011885341412258, "loss": 0.5208, "step": 8980 }, { "epoch": 2.07, "learning_rate": 0.0004010720111862037, "loss": 0.5884, "step": 8990 }, { "epoch": 2.07, "learning_rate": 0.00040095548823118154, "loss": 0.5225, "step": 9000 }, { "epoch": 2.08, "learning_rate": 0.00040083896527615945, "loss": 0.5612, "step": 9010 }, { "epoch": 2.08, "learning_rate": 0.00040072244232113724, "loss": 0.6135, "step": 9020 }, { "epoch": 2.08, "learning_rate": 0.00040060591936611514, "loss": 0.4754, "step": 9030 }, { "epoch": 2.08, "learning_rate": 0.000400489396411093, "loss": 0.4943, "step": 9040 }, { "epoch": 2.08, "learning_rate": 0.0004003728734560709, "loss": 0.5197, "step": 9050 }, { "epoch": 2.09, "learning_rate": 0.0004002563505010487, "loss": 0.5642, "step": 9060 }, { "epoch": 2.09, "learning_rate": 0.0004001398275460266, "loss": 0.5568, "step": 9070 }, { "epoch": 2.09, "learning_rate": 0.00040002330459100444, "loss": 0.5518, "step": 9080 }, { "epoch": 2.09, "learning_rate": 0.00039990678163598234, "loss": 0.6001, "step": 9090 }, { "epoch": 2.1, "learning_rate": 0.00039979025868096014, "loss": 0.5839, "step": 9100 }, { "epoch": 2.1, "learning_rate": 0.00039967373572593804, "loss": 0.6053, "step": 9110 }, { "epoch": 2.1, "learning_rate": 0.0003995572127709159, "loss": 0.5571, "step": 9120 }, { "epoch": 2.1, "learning_rate": 0.0003994406898158938, "loss": 0.551, "step": 9130 }, { "epoch": 2.11, "learning_rate": 0.0003993241668608716, "loss": 0.5591, "step": 9140 }, { "epoch": 2.11, "learning_rate": 0.0003992076439058495, "loss": 0.5571, "step": 9150 }, { "epoch": 2.11, "learning_rate": 0.00039909112095082733, "loss": 0.55, "step": 9160 }, { "epoch": 2.11, "learning_rate": 0.00039897459799580513, "loss": 0.6671, "step": 9170 }, { "epoch": 2.11, "learning_rate": 0.00039885807504078303, "loss": 0.6238, "step": 9180 }, { "epoch": 2.12, "learning_rate": 0.0003987415520857609, "loss": 0.4604, "step": 9190 }, { "epoch": 2.12, "learning_rate": 0.0003986250291307388, "loss": 0.576, "step": 9200 }, { "epoch": 2.12, "learning_rate": 0.0003985085061757166, "loss": 0.553, "step": 9210 }, { "epoch": 2.12, "learning_rate": 0.0003983919832206945, "loss": 0.5679, "step": 9220 }, { "epoch": 2.13, "learning_rate": 0.0003982754602656723, "loss": 0.6115, "step": 9230 }, { "epoch": 2.13, "learning_rate": 0.00039815893731065023, "loss": 0.4596, "step": 9240 }, { "epoch": 2.13, "learning_rate": 0.000398042414355628, "loss": 0.4852, "step": 9250 }, { "epoch": 2.13, "learning_rate": 0.0003979258914006059, "loss": 0.5255, "step": 9260 }, { "epoch": 2.14, "learning_rate": 0.0003978093684455838, "loss": 0.518, "step": 9270 }, { "epoch": 2.14, "learning_rate": 0.0003976928454905617, "loss": 0.5075, "step": 9280 }, { "epoch": 2.14, "learning_rate": 0.00039757632253553947, "loss": 0.6621, "step": 9290 }, { "epoch": 2.14, "learning_rate": 0.0003974597995805174, "loss": 0.5596, "step": 9300 }, { "epoch": 2.14, "learning_rate": 0.0003973432766254952, "loss": 0.4777, "step": 9310 }, { "epoch": 2.15, "learning_rate": 0.0003972267536704731, "loss": 0.5863, "step": 9320 }, { "epoch": 2.15, "learning_rate": 0.0003971102307154509, "loss": 0.6219, "step": 9330 }, { "epoch": 2.15, "learning_rate": 0.0003969937077604288, "loss": 0.5444, "step": 9340 }, { "epoch": 2.15, "learning_rate": 0.00039687718480540667, "loss": 0.4376, "step": 9350 }, { "epoch": 2.16, "learning_rate": 0.0003967606618503845, "loss": 0.6091, "step": 9360 }, { "epoch": 2.16, "learning_rate": 0.00039664413889536237, "loss": 0.4934, "step": 9370 }, { "epoch": 2.16, "learning_rate": 0.00039652761594034027, "loss": 0.5768, "step": 9380 }, { "epoch": 2.16, "learning_rate": 0.0003964110929853181, "loss": 0.5099, "step": 9390 }, { "epoch": 2.17, "learning_rate": 0.00039629457003029597, "loss": 0.577, "step": 9400 }, { "epoch": 2.17, "learning_rate": 0.0003961780470752738, "loss": 0.5887, "step": 9410 }, { "epoch": 2.17, "learning_rate": 0.0003960615241202517, "loss": 0.5794, "step": 9420 }, { "epoch": 2.17, "learning_rate": 0.00039594500116522957, "loss": 0.5668, "step": 9430 }, { "epoch": 2.17, "learning_rate": 0.0003958284782102074, "loss": 0.4765, "step": 9440 }, { "epoch": 2.18, "learning_rate": 0.00039571195525518526, "loss": 0.5262, "step": 9450 }, { "epoch": 2.18, "learning_rate": 0.00039559543230016317, "loss": 0.6219, "step": 9460 }, { "epoch": 2.18, "learning_rate": 0.000395478909345141, "loss": 0.5818, "step": 9470 }, { "epoch": 2.18, "learning_rate": 0.00039536238639011886, "loss": 0.5223, "step": 9480 }, { "epoch": 2.19, "learning_rate": 0.0003952458634350967, "loss": 0.5095, "step": 9490 }, { "epoch": 2.19, "learning_rate": 0.0003951293404800746, "loss": 0.5033, "step": 9500 }, { "epoch": 2.19, "learning_rate": 0.00039501281752505246, "loss": 0.5708, "step": 9510 }, { "epoch": 2.19, "learning_rate": 0.0003948962945700303, "loss": 0.5583, "step": 9520 }, { "epoch": 2.2, "learning_rate": 0.00039477977161500816, "loss": 0.5332, "step": 9530 }, { "epoch": 2.2, "learning_rate": 0.00039466324865998606, "loss": 0.6822, "step": 9540 }, { "epoch": 2.2, "learning_rate": 0.00039454672570496385, "loss": 0.4858, "step": 9550 }, { "epoch": 2.2, "learning_rate": 0.00039443020274994176, "loss": 0.5302, "step": 9560 }, { "epoch": 2.2, "learning_rate": 0.0003943136797949196, "loss": 0.5078, "step": 9570 }, { "epoch": 2.21, "learning_rate": 0.0003941971568398975, "loss": 0.5107, "step": 9580 }, { "epoch": 2.21, "learning_rate": 0.0003940806338848753, "loss": 0.5105, "step": 9590 }, { "epoch": 2.21, "learning_rate": 0.0003939641109298532, "loss": 0.6579, "step": 9600 }, { "epoch": 2.21, "learning_rate": 0.00039384758797483105, "loss": 0.5097, "step": 9610 }, { "epoch": 2.22, "learning_rate": 0.00039373106501980896, "loss": 0.575, "step": 9620 }, { "epoch": 2.22, "learning_rate": 0.00039361454206478675, "loss": 0.6123, "step": 9630 }, { "epoch": 2.22, "learning_rate": 0.00039349801910976465, "loss": 0.5684, "step": 9640 }, { "epoch": 2.22, "learning_rate": 0.0003933814961547425, "loss": 0.4895, "step": 9650 }, { "epoch": 2.23, "learning_rate": 0.0003932649731997204, "loss": 0.5427, "step": 9660 }, { "epoch": 2.23, "learning_rate": 0.0003931484502446982, "loss": 0.577, "step": 9670 }, { "epoch": 2.23, "learning_rate": 0.00039303192728967605, "loss": 0.6597, "step": 9680 }, { "epoch": 2.23, "learning_rate": 0.00039291540433465395, "loss": 0.5126, "step": 9690 }, { "epoch": 2.23, "learning_rate": 0.0003927988813796318, "loss": 0.5427, "step": 9700 }, { "epoch": 2.24, "learning_rate": 0.00039268235842460965, "loss": 0.5729, "step": 9710 }, { "epoch": 2.24, "learning_rate": 0.0003925658354695875, "loss": 0.5166, "step": 9720 }, { "epoch": 2.24, "learning_rate": 0.0003924493125145654, "loss": 0.4773, "step": 9730 }, { "epoch": 2.24, "learning_rate": 0.0003923327895595432, "loss": 0.6146, "step": 9740 }, { "epoch": 2.25, "learning_rate": 0.0003922162666045211, "loss": 0.5842, "step": 9750 }, { "epoch": 2.25, "learning_rate": 0.00039209974364949894, "loss": 0.5618, "step": 9760 }, { "epoch": 2.25, "learning_rate": 0.00039198322069447684, "loss": 0.5513, "step": 9770 }, { "epoch": 2.25, "learning_rate": 0.00039186669773945464, "loss": 0.4993, "step": 9780 }, { "epoch": 2.26, "learning_rate": 0.00039175017478443254, "loss": 0.632, "step": 9790 }, { "epoch": 2.26, "learning_rate": 0.0003916336518294104, "loss": 0.5667, "step": 9800 }, { "epoch": 2.26, "learning_rate": 0.0003915171288743883, "loss": 0.5593, "step": 9810 }, { "epoch": 2.26, "learning_rate": 0.0003914006059193661, "loss": 0.5384, "step": 9820 }, { "epoch": 2.26, "learning_rate": 0.000391284082964344, "loss": 0.4804, "step": 9830 }, { "epoch": 2.27, "learning_rate": 0.00039116756000932184, "loss": 0.5944, "step": 9840 }, { "epoch": 2.27, "learning_rate": 0.00039105103705429974, "loss": 0.5851, "step": 9850 }, { "epoch": 2.27, "learning_rate": 0.00039093451409927753, "loss": 0.4737, "step": 9860 }, { "epoch": 2.27, "learning_rate": 0.00039081799114425544, "loss": 0.645, "step": 9870 }, { "epoch": 2.28, "learning_rate": 0.0003907014681892333, "loss": 0.6055, "step": 9880 }, { "epoch": 2.28, "learning_rate": 0.0003905849452342112, "loss": 0.4633, "step": 9890 }, { "epoch": 2.28, "learning_rate": 0.000390468422279189, "loss": 0.6038, "step": 9900 }, { "epoch": 2.28, "learning_rate": 0.0003903518993241669, "loss": 0.5083, "step": 9910 }, { "epoch": 2.29, "learning_rate": 0.00039023537636914473, "loss": 0.588, "step": 9920 }, { "epoch": 2.29, "learning_rate": 0.0003901188534141226, "loss": 0.6723, "step": 9930 }, { "epoch": 2.29, "learning_rate": 0.00039000233045910043, "loss": 0.513, "step": 9940 }, { "epoch": 2.29, "learning_rate": 0.00038988580750407833, "loss": 0.5506, "step": 9950 }, { "epoch": 2.29, "learning_rate": 0.0003897692845490562, "loss": 0.595, "step": 9960 }, { "epoch": 2.3, "learning_rate": 0.00038965276159403403, "loss": 0.548, "step": 9970 }, { "epoch": 2.3, "learning_rate": 0.0003895362386390119, "loss": 0.4758, "step": 9980 }, { "epoch": 2.3, "learning_rate": 0.0003894197156839898, "loss": 0.5779, "step": 9990 }, { "epoch": 2.3, "learning_rate": 0.00038930319272896763, "loss": 0.5395, "step": 10000 }, { "epoch": 2.31, "learning_rate": 0.0003891866697739455, "loss": 0.6145, "step": 10010 }, { "epoch": 2.31, "learning_rate": 0.0003890701468189233, "loss": 0.598, "step": 10020 }, { "epoch": 2.31, "learning_rate": 0.00038895362386390123, "loss": 0.6676, "step": 10030 }, { "epoch": 2.31, "learning_rate": 0.0003888371009088791, "loss": 0.5585, "step": 10040 }, { "epoch": 2.32, "learning_rate": 0.0003887205779538569, "loss": 0.5398, "step": 10050 }, { "epoch": 2.32, "learning_rate": 0.00038860405499883477, "loss": 0.5792, "step": 10060 }, { "epoch": 2.32, "learning_rate": 0.0003884875320438127, "loss": 0.5499, "step": 10070 }, { "epoch": 2.32, "learning_rate": 0.00038837100908879047, "loss": 0.5817, "step": 10080 }, { "epoch": 2.32, "learning_rate": 0.00038825448613376837, "loss": 0.6104, "step": 10090 }, { "epoch": 2.33, "learning_rate": 0.0003881379631787462, "loss": 0.6221, "step": 10100 }, { "epoch": 2.33, "learning_rate": 0.0003880214402237241, "loss": 0.5982, "step": 10110 }, { "epoch": 2.33, "learning_rate": 0.0003879049172687019, "loss": 0.5207, "step": 10120 }, { "epoch": 2.33, "learning_rate": 0.0003877883943136798, "loss": 0.5528, "step": 10130 }, { "epoch": 2.34, "learning_rate": 0.00038767187135865767, "loss": 0.5491, "step": 10140 }, { "epoch": 2.34, "learning_rate": 0.00038755534840363557, "loss": 0.6077, "step": 10150 }, { "epoch": 2.34, "learning_rate": 0.00038743882544861336, "loss": 0.4959, "step": 10160 }, { "epoch": 2.34, "learning_rate": 0.0003873223024935912, "loss": 0.5356, "step": 10170 }, { "epoch": 2.34, "learning_rate": 0.0003872057795385691, "loss": 0.5207, "step": 10180 }, { "epoch": 2.35, "learning_rate": 0.00038708925658354696, "loss": 0.4693, "step": 10190 }, { "epoch": 2.35, "learning_rate": 0.0003869727336285248, "loss": 0.5714, "step": 10200 }, { "epoch": 2.35, "learning_rate": 0.00038685621067350266, "loss": 0.5049, "step": 10210 }, { "epoch": 2.35, "learning_rate": 0.00038673968771848056, "loss": 0.6123, "step": 10220 }, { "epoch": 2.36, "learning_rate": 0.0003866231647634584, "loss": 0.4514, "step": 10230 }, { "epoch": 2.36, "learning_rate": 0.00038650664180843626, "loss": 0.5208, "step": 10240 }, { "epoch": 2.36, "learning_rate": 0.0003863901188534141, "loss": 0.6155, "step": 10250 }, { "epoch": 2.36, "learning_rate": 0.000386273595898392, "loss": 0.4555, "step": 10260 }, { "epoch": 2.37, "learning_rate": 0.0003861570729433698, "loss": 0.475, "step": 10270 }, { "epoch": 2.37, "learning_rate": 0.0003860405499883477, "loss": 0.5104, "step": 10280 }, { "epoch": 2.37, "learning_rate": 0.00038592402703332556, "loss": 0.5335, "step": 10290 }, { "epoch": 2.37, "learning_rate": 0.00038580750407830346, "loss": 0.5669, "step": 10300 }, { "epoch": 2.37, "learning_rate": 0.00038569098112328125, "loss": 0.488, "step": 10310 }, { "epoch": 2.38, "learning_rate": 0.00038557445816825916, "loss": 0.5095, "step": 10320 }, { "epoch": 2.38, "learning_rate": 0.000385457935213237, "loss": 0.5865, "step": 10330 }, { "epoch": 2.38, "learning_rate": 0.0003853414122582149, "loss": 0.5239, "step": 10340 }, { "epoch": 2.38, "learning_rate": 0.0003852248893031927, "loss": 0.6548, "step": 10350 }, { "epoch": 2.39, "learning_rate": 0.0003851083663481706, "loss": 0.5929, "step": 10360 }, { "epoch": 2.39, "learning_rate": 0.00038499184339314845, "loss": 0.5913, "step": 10370 }, { "epoch": 2.39, "learning_rate": 0.00038487532043812635, "loss": 0.5078, "step": 10380 }, { "epoch": 2.39, "learning_rate": 0.00038475879748310415, "loss": 0.5233, "step": 10390 }, { "epoch": 2.4, "learning_rate": 0.00038464227452808205, "loss": 0.4629, "step": 10400 }, { "epoch": 2.4, "learning_rate": 0.0003845257515730599, "loss": 0.5157, "step": 10410 }, { "epoch": 2.4, "learning_rate": 0.0003844092286180378, "loss": 0.5218, "step": 10420 }, { "epoch": 2.4, "learning_rate": 0.0003842927056630156, "loss": 0.5072, "step": 10430 }, { "epoch": 2.4, "learning_rate": 0.0003841761827079935, "loss": 0.6127, "step": 10440 }, { "epoch": 2.41, "learning_rate": 0.00038405965975297135, "loss": 0.5584, "step": 10450 }, { "epoch": 2.41, "learning_rate": 0.0003839431367979492, "loss": 0.5054, "step": 10460 }, { "epoch": 2.41, "learning_rate": 0.00038382661384292704, "loss": 0.5534, "step": 10470 }, { "epoch": 2.41, "learning_rate": 0.00038371009088790495, "loss": 0.5365, "step": 10480 }, { "epoch": 2.42, "learning_rate": 0.0003835935679328828, "loss": 0.5946, "step": 10490 }, { "epoch": 2.42, "learning_rate": 0.00038347704497786064, "loss": 0.6109, "step": 10500 }, { "epoch": 2.42, "learning_rate": 0.0003833605220228385, "loss": 0.6428, "step": 10510 }, { "epoch": 2.42, "learning_rate": 0.0003832439990678164, "loss": 0.5929, "step": 10520 }, { "epoch": 2.43, "learning_rate": 0.00038312747611279424, "loss": 0.5548, "step": 10530 }, { "epoch": 2.43, "learning_rate": 0.0003830109531577721, "loss": 0.5551, "step": 10540 }, { "epoch": 2.43, "learning_rate": 0.00038289443020274994, "loss": 0.6649, "step": 10550 }, { "epoch": 2.43, "learning_rate": 0.00038277790724772784, "loss": 0.5881, "step": 10560 }, { "epoch": 2.43, "learning_rate": 0.0003826613842927057, "loss": 0.6012, "step": 10570 }, { "epoch": 2.44, "learning_rate": 0.00038254486133768354, "loss": 0.5753, "step": 10580 }, { "epoch": 2.44, "learning_rate": 0.0003824283383826614, "loss": 0.5004, "step": 10590 }, { "epoch": 2.44, "learning_rate": 0.0003823118154276393, "loss": 0.6546, "step": 10600 }, { "epoch": 2.44, "learning_rate": 0.00038219529247261714, "loss": 0.6297, "step": 10610 }, { "epoch": 2.45, "learning_rate": 0.00038207876951759493, "loss": 0.5892, "step": 10620 }, { "epoch": 2.45, "learning_rate": 0.00038196224656257284, "loss": 0.5858, "step": 10630 }, { "epoch": 2.45, "learning_rate": 0.0003818457236075507, "loss": 0.5571, "step": 10640 }, { "epoch": 2.45, "learning_rate": 0.00038172920065252853, "loss": 0.6245, "step": 10650 }, { "epoch": 2.46, "learning_rate": 0.0003816126776975064, "loss": 0.5944, "step": 10660 }, { "epoch": 2.46, "learning_rate": 0.0003814961547424843, "loss": 0.5134, "step": 10670 }, { "epoch": 2.46, "learning_rate": 0.00038137963178746213, "loss": 0.6271, "step": 10680 }, { "epoch": 2.46, "learning_rate": 0.00038126310883244, "loss": 0.5594, "step": 10690 }, { "epoch": 2.46, "learning_rate": 0.00038114658587741783, "loss": 0.6394, "step": 10700 }, { "epoch": 2.47, "learning_rate": 0.00038103006292239573, "loss": 0.5259, "step": 10710 }, { "epoch": 2.47, "learning_rate": 0.0003809135399673736, "loss": 0.5958, "step": 10720 }, { "epoch": 2.47, "learning_rate": 0.00038079701701235143, "loss": 0.6885, "step": 10730 }, { "epoch": 2.47, "learning_rate": 0.0003806804940573293, "loss": 0.5735, "step": 10740 }, { "epoch": 2.48, "learning_rate": 0.0003805639711023072, "loss": 0.5948, "step": 10750 }, { "epoch": 2.48, "learning_rate": 0.000380447448147285, "loss": 0.4641, "step": 10760 }, { "epoch": 2.48, "learning_rate": 0.0003803309251922629, "loss": 0.5771, "step": 10770 }, { "epoch": 2.48, "learning_rate": 0.0003802144022372407, "loss": 0.5432, "step": 10780 }, { "epoch": 2.49, "learning_rate": 0.0003800978792822186, "loss": 0.5765, "step": 10790 }, { "epoch": 2.49, "learning_rate": 0.0003799813563271965, "loss": 0.6005, "step": 10800 }, { "epoch": 2.49, "learning_rate": 0.0003798648333721743, "loss": 0.4986, "step": 10810 }, { "epoch": 2.49, "learning_rate": 0.00037974831041715217, "loss": 0.5309, "step": 10820 }, { "epoch": 2.49, "learning_rate": 0.0003796317874621301, "loss": 0.5259, "step": 10830 }, { "epoch": 2.5, "learning_rate": 0.00037951526450710787, "loss": 0.4959, "step": 10840 }, { "epoch": 2.5, "learning_rate": 0.00037939874155208577, "loss": 0.5123, "step": 10850 }, { "epoch": 2.5, "learning_rate": 0.0003792822185970636, "loss": 0.5946, "step": 10860 }, { "epoch": 2.5, "learning_rate": 0.0003791656956420415, "loss": 0.5913, "step": 10870 }, { "epoch": 2.51, "learning_rate": 0.0003790491726870193, "loss": 0.5857, "step": 10880 }, { "epoch": 2.51, "learning_rate": 0.0003789326497319972, "loss": 0.5496, "step": 10890 }, { "epoch": 2.51, "learning_rate": 0.00037881612677697507, "loss": 0.5672, "step": 10900 }, { "epoch": 2.51, "learning_rate": 0.00037869960382195297, "loss": 0.5571, "step": 10910 }, { "epoch": 2.52, "learning_rate": 0.00037858308086693076, "loss": 0.5366, "step": 10920 }, { "epoch": 2.52, "learning_rate": 0.00037846655791190867, "loss": 0.5317, "step": 10930 }, { "epoch": 2.52, "learning_rate": 0.0003783500349568865, "loss": 0.506, "step": 10940 }, { "epoch": 2.52, "learning_rate": 0.0003782335120018644, "loss": 0.6632, "step": 10950 }, { "epoch": 2.52, "learning_rate": 0.0003781169890468422, "loss": 0.548, "step": 10960 }, { "epoch": 2.53, "learning_rate": 0.0003780004660918201, "loss": 0.4903, "step": 10970 }, { "epoch": 2.53, "learning_rate": 0.00037788394313679796, "loss": 0.4934, "step": 10980 }, { "epoch": 2.53, "learning_rate": 0.00037776742018177586, "loss": 0.5766, "step": 10990 }, { "epoch": 2.53, "learning_rate": 0.00037765089722675366, "loss": 0.5807, "step": 11000 }, { "epoch": 2.54, "learning_rate": 0.00037753437427173156, "loss": 0.537, "step": 11010 }, { "epoch": 2.54, "learning_rate": 0.0003774178513167094, "loss": 0.4981, "step": 11020 }, { "epoch": 2.54, "learning_rate": 0.00037730132836168726, "loss": 0.6566, "step": 11030 }, { "epoch": 2.54, "learning_rate": 0.0003771848054066651, "loss": 0.5681, "step": 11040 }, { "epoch": 2.55, "learning_rate": 0.000377068282451643, "loss": 0.5734, "step": 11050 }, { "epoch": 2.55, "learning_rate": 0.00037695175949662086, "loss": 0.4979, "step": 11060 }, { "epoch": 2.55, "learning_rate": 0.0003768352365415987, "loss": 0.5895, "step": 11070 }, { "epoch": 2.55, "learning_rate": 0.00037671871358657655, "loss": 0.6714, "step": 11080 }, { "epoch": 2.55, "learning_rate": 0.00037660219063155446, "loss": 0.66, "step": 11090 }, { "epoch": 2.56, "learning_rate": 0.0003764856676765323, "loss": 0.5396, "step": 11100 }, { "epoch": 2.56, "learning_rate": 0.0003763691447215101, "loss": 0.5783, "step": 11110 }, { "epoch": 2.56, "learning_rate": 0.000376252621766488, "loss": 0.5514, "step": 11120 }, { "epoch": 2.56, "learning_rate": 0.00037613609881146585, "loss": 0.7365, "step": 11130 }, { "epoch": 2.57, "learning_rate": 0.00037601957585644375, "loss": 0.602, "step": 11140 }, { "epoch": 2.57, "learning_rate": 0.00037590305290142155, "loss": 0.7115, "step": 11150 }, { "epoch": 2.57, "learning_rate": 0.00037578652994639945, "loss": 0.5712, "step": 11160 }, { "epoch": 2.57, "learning_rate": 0.0003756700069913773, "loss": 0.6067, "step": 11170 }, { "epoch": 2.58, "learning_rate": 0.0003755534840363552, "loss": 0.5876, "step": 11180 }, { "epoch": 2.58, "learning_rate": 0.000375436961081333, "loss": 0.5376, "step": 11190 }, { "epoch": 2.58, "learning_rate": 0.0003753204381263109, "loss": 0.686, "step": 11200 }, { "epoch": 2.58, "learning_rate": 0.00037520391517128875, "loss": 0.511, "step": 11210 }, { "epoch": 2.58, "learning_rate": 0.0003750873922162666, "loss": 0.5709, "step": 11220 }, { "epoch": 2.59, "learning_rate": 0.00037497086926124444, "loss": 0.5382, "step": 11230 }, { "epoch": 2.59, "learning_rate": 0.00037485434630622235, "loss": 0.6335, "step": 11240 }, { "epoch": 2.59, "learning_rate": 0.0003747378233512002, "loss": 0.6076, "step": 11250 }, { "epoch": 2.59, "learning_rate": 0.00037462130039617804, "loss": 0.741, "step": 11260 }, { "epoch": 2.6, "learning_rate": 0.0003745047774411559, "loss": 0.6341, "step": 11270 }, { "epoch": 2.6, "learning_rate": 0.0003743882544861338, "loss": 0.5657, "step": 11280 }, { "epoch": 2.6, "learning_rate": 0.00037427173153111164, "loss": 0.6267, "step": 11290 }, { "epoch": 2.6, "learning_rate": 0.0003741552085760895, "loss": 0.6451, "step": 11300 }, { "epoch": 2.61, "learning_rate": 0.00037403868562106734, "loss": 0.5806, "step": 11310 }, { "epoch": 2.61, "learning_rate": 0.00037392216266604524, "loss": 0.6063, "step": 11320 }, { "epoch": 2.61, "learning_rate": 0.0003738056397110231, "loss": 0.6284, "step": 11330 }, { "epoch": 2.61, "learning_rate": 0.00037368911675600094, "loss": 0.4528, "step": 11340 }, { "epoch": 2.61, "learning_rate": 0.0003735725938009788, "loss": 0.6778, "step": 11350 }, { "epoch": 2.62, "learning_rate": 0.0003734560708459567, "loss": 0.6654, "step": 11360 }, { "epoch": 2.62, "learning_rate": 0.0003733395478909345, "loss": 0.5415, "step": 11370 }, { "epoch": 2.62, "learning_rate": 0.0003732230249359124, "loss": 0.537, "step": 11380 }, { "epoch": 2.62, "learning_rate": 0.00037310650198089023, "loss": 0.5016, "step": 11390 }, { "epoch": 2.63, "learning_rate": 0.00037298997902586814, "loss": 0.5729, "step": 11400 }, { "epoch": 2.63, "learning_rate": 0.00037287345607084593, "loss": 0.5655, "step": 11410 }, { "epoch": 2.63, "learning_rate": 0.00037275693311582383, "loss": 0.7096, "step": 11420 }, { "epoch": 2.63, "learning_rate": 0.0003726404101608017, "loss": 0.6308, "step": 11430 }, { "epoch": 2.64, "learning_rate": 0.0003725238872057796, "loss": 0.505, "step": 11440 }, { "epoch": 2.64, "learning_rate": 0.0003724073642507574, "loss": 0.6018, "step": 11450 }, { "epoch": 2.64, "learning_rate": 0.0003722908412957353, "loss": 0.5669, "step": 11460 }, { "epoch": 2.64, "learning_rate": 0.00037217431834071313, "loss": 0.6607, "step": 11470 }, { "epoch": 2.64, "learning_rate": 0.00037205779538569103, "loss": 0.4848, "step": 11480 }, { "epoch": 2.65, "learning_rate": 0.0003719412724306688, "loss": 0.6305, "step": 11490 }, { "epoch": 2.65, "learning_rate": 0.00037182474947564673, "loss": 0.6011, "step": 11500 }, { "epoch": 2.65, "learning_rate": 0.0003717082265206246, "loss": 0.5572, "step": 11510 }, { "epoch": 2.65, "learning_rate": 0.0003715917035656025, "loss": 0.5913, "step": 11520 }, { "epoch": 2.66, "learning_rate": 0.0003714751806105803, "loss": 0.6331, "step": 11530 }, { "epoch": 2.66, "learning_rate": 0.0003713586576555582, "loss": 0.5433, "step": 11540 }, { "epoch": 2.66, "learning_rate": 0.000371242134700536, "loss": 0.5089, "step": 11550 }, { "epoch": 2.66, "learning_rate": 0.0003711256117455139, "loss": 0.4861, "step": 11560 }, { "epoch": 2.67, "learning_rate": 0.0003710090887904917, "loss": 0.602, "step": 11570 }, { "epoch": 2.67, "learning_rate": 0.0003708925658354696, "loss": 0.4407, "step": 11580 }, { "epoch": 2.67, "learning_rate": 0.00037077604288044747, "loss": 0.6049, "step": 11590 }, { "epoch": 2.67, "learning_rate": 0.00037065951992542527, "loss": 0.6089, "step": 11600 }, { "epoch": 2.67, "learning_rate": 0.00037054299697040317, "loss": 0.4972, "step": 11610 }, { "epoch": 2.68, "learning_rate": 0.000370426474015381, "loss": 0.5839, "step": 11620 }, { "epoch": 2.68, "learning_rate": 0.0003703099510603589, "loss": 0.5832, "step": 11630 }, { "epoch": 2.68, "learning_rate": 0.0003701934281053367, "loss": 0.5513, "step": 11640 }, { "epoch": 2.68, "learning_rate": 0.0003700769051503146, "loss": 0.5815, "step": 11650 }, { "epoch": 2.69, "learning_rate": 0.00036996038219529247, "loss": 0.6414, "step": 11660 }, { "epoch": 2.69, "learning_rate": 0.00036984385924027037, "loss": 0.4812, "step": 11670 }, { "epoch": 2.69, "learning_rate": 0.00036972733628524816, "loss": 0.5898, "step": 11680 }, { "epoch": 2.69, "learning_rate": 0.00036961081333022606, "loss": 0.6138, "step": 11690 }, { "epoch": 2.7, "learning_rate": 0.0003694942903752039, "loss": 0.5094, "step": 11700 }, { "epoch": 2.7, "learning_rate": 0.0003693777674201818, "loss": 0.6374, "step": 11710 }, { "epoch": 2.7, "learning_rate": 0.0003692612444651596, "loss": 0.5514, "step": 11720 }, { "epoch": 2.7, "learning_rate": 0.0003691447215101375, "loss": 0.4668, "step": 11730 }, { "epoch": 2.7, "learning_rate": 0.00036902819855511536, "loss": 0.5207, "step": 11740 }, { "epoch": 2.71, "learning_rate": 0.0003689116756000932, "loss": 0.5768, "step": 11750 }, { "epoch": 2.71, "learning_rate": 0.00036879515264507106, "loss": 0.5295, "step": 11760 }, { "epoch": 2.71, "learning_rate": 0.00036867862969004896, "loss": 0.5756, "step": 11770 }, { "epoch": 2.71, "learning_rate": 0.0003685621067350268, "loss": 0.5905, "step": 11780 }, { "epoch": 2.72, "learning_rate": 0.00036844558378000466, "loss": 0.5398, "step": 11790 }, { "epoch": 2.72, "learning_rate": 0.0003683290608249825, "loss": 0.5105, "step": 11800 }, { "epoch": 2.72, "learning_rate": 0.0003682125378699604, "loss": 0.449, "step": 11810 }, { "epoch": 2.72, "learning_rate": 0.00036809601491493826, "loss": 0.6313, "step": 11820 }, { "epoch": 2.73, "learning_rate": 0.0003679794919599161, "loss": 0.5288, "step": 11830 }, { "epoch": 2.73, "learning_rate": 0.00036786296900489395, "loss": 0.5334, "step": 11840 }, { "epoch": 2.73, "learning_rate": 0.00036774644604987186, "loss": 0.5581, "step": 11850 }, { "epoch": 2.73, "learning_rate": 0.0003676299230948497, "loss": 0.5738, "step": 11860 }, { "epoch": 2.73, "learning_rate": 0.00036751340013982755, "loss": 0.5783, "step": 11870 }, { "epoch": 2.74, "learning_rate": 0.0003673968771848054, "loss": 0.5406, "step": 11880 }, { "epoch": 2.74, "learning_rate": 0.0003672803542297833, "loss": 0.6214, "step": 11890 }, { "epoch": 2.74, "learning_rate": 0.00036716383127476115, "loss": 0.5412, "step": 11900 }, { "epoch": 2.74, "learning_rate": 0.000367047308319739, "loss": 0.6317, "step": 11910 }, { "epoch": 2.75, "learning_rate": 0.00036693078536471685, "loss": 0.617, "step": 11920 }, { "epoch": 2.75, "learning_rate": 0.00036681426240969475, "loss": 0.5979, "step": 11930 }, { "epoch": 2.75, "learning_rate": 0.00036669773945467255, "loss": 0.5684, "step": 11940 }, { "epoch": 2.75, "learning_rate": 0.00036658121649965045, "loss": 0.632, "step": 11950 }, { "epoch": 2.75, "learning_rate": 0.0003664646935446283, "loss": 0.544, "step": 11960 }, { "epoch": 2.76, "learning_rate": 0.0003663481705896062, "loss": 0.591, "step": 11970 }, { "epoch": 2.76, "learning_rate": 0.000366231647634584, "loss": 0.5811, "step": 11980 }, { "epoch": 2.76, "learning_rate": 0.0003661151246795619, "loss": 0.5066, "step": 11990 }, { "epoch": 2.76, "learning_rate": 0.00036599860172453974, "loss": 0.5227, "step": 12000 }, { "epoch": 2.77, "learning_rate": 0.00036588207876951765, "loss": 0.6378, "step": 12010 }, { "epoch": 2.77, "learning_rate": 0.00036576555581449544, "loss": 0.5862, "step": 12020 }, { "epoch": 2.77, "learning_rate": 0.00036564903285947334, "loss": 0.6071, "step": 12030 }, { "epoch": 2.77, "learning_rate": 0.0003655325099044512, "loss": 0.5584, "step": 12040 }, { "epoch": 2.78, "learning_rate": 0.0003654159869494291, "loss": 0.6494, "step": 12050 }, { "epoch": 2.78, "learning_rate": 0.0003652994639944069, "loss": 0.5216, "step": 12060 }, { "epoch": 2.78, "learning_rate": 0.0003651829410393848, "loss": 0.5979, "step": 12070 }, { "epoch": 2.78, "learning_rate": 0.00036506641808436264, "loss": 0.5455, "step": 12080 }, { "epoch": 2.78, "learning_rate": 0.0003649498951293405, "loss": 0.6383, "step": 12090 }, { "epoch": 2.79, "learning_rate": 0.00036483337217431834, "loss": 0.4883, "step": 12100 }, { "epoch": 2.79, "learning_rate": 0.0003647168492192962, "loss": 0.6385, "step": 12110 }, { "epoch": 2.79, "learning_rate": 0.0003646003262642741, "loss": 0.6161, "step": 12120 }, { "epoch": 2.79, "learning_rate": 0.0003644838033092519, "loss": 0.6531, "step": 12130 }, { "epoch": 2.8, "learning_rate": 0.0003643672803542298, "loss": 0.7073, "step": 12140 }, { "epoch": 2.8, "learning_rate": 0.00036425075739920763, "loss": 0.6292, "step": 12150 }, { "epoch": 2.8, "learning_rate": 0.00036413423444418553, "loss": 0.532, "step": 12160 }, { "epoch": 2.8, "learning_rate": 0.00036401771148916333, "loss": 0.5598, "step": 12170 }, { "epoch": 2.81, "learning_rate": 0.00036390118853414123, "loss": 0.5761, "step": 12180 }, { "epoch": 2.81, "learning_rate": 0.0003637846655791191, "loss": 0.6883, "step": 12190 }, { "epoch": 2.81, "learning_rate": 0.000363668142624097, "loss": 0.531, "step": 12200 }, { "epoch": 2.81, "learning_rate": 0.0003635516196690748, "loss": 0.5152, "step": 12210 }, { "epoch": 2.81, "learning_rate": 0.0003634350967140527, "loss": 0.4439, "step": 12220 }, { "epoch": 2.82, "learning_rate": 0.00036331857375903053, "loss": 0.6116, "step": 12230 }, { "epoch": 2.82, "learning_rate": 0.00036320205080400843, "loss": 0.575, "step": 12240 }, { "epoch": 2.82, "learning_rate": 0.0003630855278489862, "loss": 0.6519, "step": 12250 }, { "epoch": 2.82, "learning_rate": 0.00036296900489396413, "loss": 0.7286, "step": 12260 }, { "epoch": 2.83, "learning_rate": 0.000362852481938942, "loss": 0.6153, "step": 12270 }, { "epoch": 2.83, "learning_rate": 0.0003627359589839199, "loss": 0.6239, "step": 12280 }, { "epoch": 2.83, "learning_rate": 0.00036261943602889767, "loss": 0.5667, "step": 12290 }, { "epoch": 2.83, "learning_rate": 0.0003625029130738756, "loss": 0.5172, "step": 12300 }, { "epoch": 2.84, "learning_rate": 0.0003623863901188534, "loss": 0.536, "step": 12310 }, { "epoch": 2.84, "learning_rate": 0.00036226986716383127, "loss": 0.4811, "step": 12320 }, { "epoch": 2.84, "learning_rate": 0.0003621533442088091, "loss": 0.5181, "step": 12330 }, { "epoch": 2.84, "learning_rate": 0.000362036821253787, "loss": 0.6049, "step": 12340 }, { "epoch": 2.84, "learning_rate": 0.00036192029829876487, "loss": 0.6295, "step": 12350 }, { "epoch": 2.85, "learning_rate": 0.0003618037753437427, "loss": 0.5561, "step": 12360 }, { "epoch": 2.85, "learning_rate": 0.00036168725238872057, "loss": 0.5883, "step": 12370 }, { "epoch": 2.85, "learning_rate": 0.00036157072943369847, "loss": 0.5432, "step": 12380 }, { "epoch": 2.85, "learning_rate": 0.0003614542064786763, "loss": 0.4879, "step": 12390 }, { "epoch": 2.86, "learning_rate": 0.00036133768352365417, "loss": 0.5342, "step": 12400 }, { "epoch": 2.86, "learning_rate": 0.000361221160568632, "loss": 0.6041, "step": 12410 }, { "epoch": 2.86, "learning_rate": 0.0003611046376136099, "loss": 0.5651, "step": 12420 }, { "epoch": 2.86, "learning_rate": 0.00036098811465858777, "loss": 0.5147, "step": 12430 }, { "epoch": 2.87, "learning_rate": 0.0003608715917035656, "loss": 0.5625, "step": 12440 }, { "epoch": 2.87, "learning_rate": 0.00036075506874854346, "loss": 0.5852, "step": 12450 }, { "epoch": 2.87, "learning_rate": 0.00036063854579352137, "loss": 0.5484, "step": 12460 }, { "epoch": 2.87, "learning_rate": 0.0003605220228384992, "loss": 0.5484, "step": 12470 }, { "epoch": 2.87, "learning_rate": 0.00036040549988347706, "loss": 0.7071, "step": 12480 }, { "epoch": 2.88, "learning_rate": 0.0003602889769284549, "loss": 0.5853, "step": 12490 }, { "epoch": 2.88, "learning_rate": 0.0003601724539734328, "loss": 0.5038, "step": 12500 }, { "epoch": 2.88, "learning_rate": 0.0003600559310184106, "loss": 0.5228, "step": 12510 }, { "epoch": 2.88, "learning_rate": 0.0003599394080633885, "loss": 0.6229, "step": 12520 }, { "epoch": 2.89, "learning_rate": 0.00035982288510836636, "loss": 0.6315, "step": 12530 }, { "epoch": 2.89, "learning_rate": 0.00035970636215334426, "loss": 0.5097, "step": 12540 }, { "epoch": 2.89, "learning_rate": 0.00035958983919832206, "loss": 0.5466, "step": 12550 }, { "epoch": 2.89, "learning_rate": 0.0003594733162432999, "loss": 0.5656, "step": 12560 }, { "epoch": 2.9, "learning_rate": 0.0003593567932882778, "loss": 0.6161, "step": 12570 }, { "epoch": 2.9, "learning_rate": 0.00035924027033325565, "loss": 0.5725, "step": 12580 }, { "epoch": 2.9, "learning_rate": 0.0003591237473782335, "loss": 0.5583, "step": 12590 }, { "epoch": 2.9, "learning_rate": 0.00035900722442321135, "loss": 0.5669, "step": 12600 }, { "epoch": 2.9, "learning_rate": 0.00035889070146818925, "loss": 0.5418, "step": 12610 }, { "epoch": 2.91, "learning_rate": 0.0003587741785131671, "loss": 0.5785, "step": 12620 }, { "epoch": 2.91, "learning_rate": 0.00035865765555814495, "loss": 0.5889, "step": 12630 }, { "epoch": 2.91, "learning_rate": 0.0003585411326031228, "loss": 0.5348, "step": 12640 }, { "epoch": 2.91, "learning_rate": 0.0003584246096481007, "loss": 0.5271, "step": 12650 }, { "epoch": 2.92, "learning_rate": 0.0003583080866930785, "loss": 0.5257, "step": 12660 }, { "epoch": 2.92, "learning_rate": 0.0003581915637380564, "loss": 0.571, "step": 12670 }, { "epoch": 2.92, "learning_rate": 0.00035807504078303425, "loss": 0.553, "step": 12680 }, { "epoch": 2.92, "learning_rate": 0.00035795851782801215, "loss": 0.5103, "step": 12690 }, { "epoch": 2.93, "learning_rate": 0.00035784199487298994, "loss": 0.5788, "step": 12700 }, { "epoch": 2.93, "learning_rate": 0.00035772547191796785, "loss": 0.5475, "step": 12710 }, { "epoch": 2.93, "learning_rate": 0.0003576089489629457, "loss": 0.5787, "step": 12720 }, { "epoch": 2.93, "learning_rate": 0.0003574924260079236, "loss": 0.6733, "step": 12730 }, { "epoch": 2.93, "learning_rate": 0.0003573759030529014, "loss": 0.5088, "step": 12740 }, { "epoch": 2.94, "learning_rate": 0.0003572593800978793, "loss": 0.5526, "step": 12750 }, { "epoch": 2.94, "learning_rate": 0.00035714285714285714, "loss": 0.5531, "step": 12760 }, { "epoch": 2.94, "learning_rate": 0.00035702633418783505, "loss": 0.5685, "step": 12770 }, { "epoch": 2.94, "learning_rate": 0.00035690981123281284, "loss": 0.5849, "step": 12780 }, { "epoch": 2.95, "learning_rate": 0.00035679328827779074, "loss": 0.598, "step": 12790 }, { "epoch": 2.95, "learning_rate": 0.0003566767653227686, "loss": 0.6349, "step": 12800 }, { "epoch": 2.95, "learning_rate": 0.0003565602423677465, "loss": 0.5224, "step": 12810 }, { "epoch": 2.95, "learning_rate": 0.0003564437194127243, "loss": 0.5802, "step": 12820 }, { "epoch": 2.96, "learning_rate": 0.0003563271964577022, "loss": 0.6304, "step": 12830 }, { "epoch": 2.96, "learning_rate": 0.00035621067350268004, "loss": 0.6912, "step": 12840 }, { "epoch": 2.96, "learning_rate": 0.0003560941505476579, "loss": 0.5772, "step": 12850 }, { "epoch": 2.96, "learning_rate": 0.00035597762759263573, "loss": 0.5425, "step": 12860 }, { "epoch": 2.96, "learning_rate": 0.00035586110463761364, "loss": 0.6595, "step": 12870 }, { "epoch": 2.97, "learning_rate": 0.0003557445816825915, "loss": 0.5792, "step": 12880 }, { "epoch": 2.97, "learning_rate": 0.00035562805872756933, "loss": 0.5013, "step": 12890 }, { "epoch": 2.97, "learning_rate": 0.0003555115357725472, "loss": 0.7614, "step": 12900 }, { "epoch": 2.97, "learning_rate": 0.0003553950128175251, "loss": 0.5491, "step": 12910 }, { "epoch": 2.98, "learning_rate": 0.00035527848986250293, "loss": 0.5925, "step": 12920 }, { "epoch": 2.98, "learning_rate": 0.0003551619669074808, "loss": 0.4564, "step": 12930 }, { "epoch": 2.98, "learning_rate": 0.00035504544395245863, "loss": 0.5478, "step": 12940 }, { "epoch": 2.98, "learning_rate": 0.00035492892099743653, "loss": 0.567, "step": 12950 }, { "epoch": 2.99, "learning_rate": 0.0003548123980424144, "loss": 0.6399, "step": 12960 }, { "epoch": 2.99, "learning_rate": 0.00035469587508739223, "loss": 0.5897, "step": 12970 }, { "epoch": 2.99, "learning_rate": 0.0003545793521323701, "loss": 0.5591, "step": 12980 }, { "epoch": 2.99, "learning_rate": 0.000354462829177348, "loss": 0.597, "step": 12990 }, { "epoch": 2.99, "learning_rate": 0.00035434630622232583, "loss": 0.5599, "step": 13000 }, { "epoch": 3.0, "learning_rate": 0.0003542297832673037, "loss": 0.7182, "step": 13010 }, { "epoch": 3.0, "learning_rate": 0.0003541132603122815, "loss": 0.6147, "step": 13020 }, { "epoch": 3.0, "eval_Bleu_1": 0.004867795110078279, "eval_Bleu_2": 2.0016032894805002e-11, "eval_Bleu_3": 3.641044386384566e-14, "eval_Bleu_4": 1.688390378855272e-15, "eval_ROUGE_L": 0.0076157806660195025, "eval_cer": 0.4872366010539993, "eval_em": 0.5393049932523617, "eval_f1": 0.7065047406756789, "eval_loss": 0.8688169717788696, "eval_runtime": 329.7388, "eval_samples_per_second": 17.978, "eval_steps_per_second": 3.597, "eval_wer": 0.5752291644716047, "step": 13023 }, { "epoch": 3.0, "learning_rate": 0.00035399673735725943, "loss": 0.4246, "step": 13030 }, { "epoch": 3.0, "learning_rate": 0.0003538802144022372, "loss": 0.3049, "step": 13040 }, { "epoch": 3.01, "learning_rate": 0.00035376369144721507, "loss": 0.3106, "step": 13050 }, { "epoch": 3.01, "learning_rate": 0.000353647168492193, "loss": 0.3329, "step": 13060 }, { "epoch": 3.01, "learning_rate": 0.0003535306455371708, "loss": 0.481, "step": 13070 }, { "epoch": 3.01, "learning_rate": 0.00035341412258214867, "loss": 0.3728, "step": 13080 }, { "epoch": 3.02, "learning_rate": 0.0003532975996271265, "loss": 0.3044, "step": 13090 }, { "epoch": 3.02, "learning_rate": 0.0003531810766721044, "loss": 0.4434, "step": 13100 }, { "epoch": 3.02, "learning_rate": 0.00035306455371708227, "loss": 0.397, "step": 13110 }, { "epoch": 3.02, "learning_rate": 0.0003529480307620601, "loss": 0.4271, "step": 13120 }, { "epoch": 3.02, "learning_rate": 0.00035283150780703797, "loss": 0.3274, "step": 13130 }, { "epoch": 3.03, "learning_rate": 0.00035271498485201587, "loss": 0.3705, "step": 13140 }, { "epoch": 3.03, "learning_rate": 0.0003525984618969937, "loss": 0.3008, "step": 13150 }, { "epoch": 3.03, "learning_rate": 0.00035248193894197157, "loss": 0.3671, "step": 13160 }, { "epoch": 3.03, "learning_rate": 0.0003523654159869494, "loss": 0.3638, "step": 13170 }, { "epoch": 3.04, "learning_rate": 0.0003522488930319273, "loss": 0.2577, "step": 13180 }, { "epoch": 3.04, "learning_rate": 0.00035213237007690517, "loss": 0.3867, "step": 13190 }, { "epoch": 3.04, "learning_rate": 0.000352015847121883, "loss": 0.411, "step": 13200 }, { "epoch": 3.04, "learning_rate": 0.00035189932416686086, "loss": 0.3793, "step": 13210 }, { "epoch": 3.05, "learning_rate": 0.00035178280121183876, "loss": 0.3405, "step": 13220 }, { "epoch": 3.05, "learning_rate": 0.00035166627825681656, "loss": 0.3649, "step": 13230 }, { "epoch": 3.05, "learning_rate": 0.00035154975530179446, "loss": 0.3443, "step": 13240 }, { "epoch": 3.05, "learning_rate": 0.0003514332323467723, "loss": 0.467, "step": 13250 }, { "epoch": 3.05, "learning_rate": 0.0003513167093917502, "loss": 0.3444, "step": 13260 }, { "epoch": 3.06, "learning_rate": 0.000351200186436728, "loss": 0.3961, "step": 13270 }, { "epoch": 3.06, "learning_rate": 0.0003510836634817059, "loss": 0.3478, "step": 13280 }, { "epoch": 3.06, "learning_rate": 0.00035096714052668376, "loss": 0.3768, "step": 13290 }, { "epoch": 3.06, "learning_rate": 0.00035085061757166166, "loss": 0.3578, "step": 13300 }, { "epoch": 3.07, "learning_rate": 0.00035073409461663945, "loss": 0.3998, "step": 13310 }, { "epoch": 3.07, "learning_rate": 0.00035061757166161736, "loss": 0.4058, "step": 13320 }, { "epoch": 3.07, "learning_rate": 0.0003505010487065952, "loss": 0.3761, "step": 13330 }, { "epoch": 3.07, "learning_rate": 0.0003503845257515731, "loss": 0.3347, "step": 13340 }, { "epoch": 3.08, "learning_rate": 0.0003502680027965509, "loss": 0.3976, "step": 13350 }, { "epoch": 3.08, "learning_rate": 0.0003501514798415288, "loss": 0.3189, "step": 13360 }, { "epoch": 3.08, "learning_rate": 0.00035003495688650665, "loss": 0.302, "step": 13370 }, { "epoch": 3.08, "learning_rate": 0.00034991843393148456, "loss": 0.3786, "step": 13380 }, { "epoch": 3.08, "learning_rate": 0.00034980191097646235, "loss": 0.4283, "step": 13390 }, { "epoch": 3.09, "learning_rate": 0.00034968538802144025, "loss": 0.4397, "step": 13400 }, { "epoch": 3.09, "learning_rate": 0.0003495688650664181, "loss": 0.3887, "step": 13410 }, { "epoch": 3.09, "learning_rate": 0.00034945234211139595, "loss": 0.3179, "step": 13420 }, { "epoch": 3.09, "learning_rate": 0.0003493358191563738, "loss": 0.3351, "step": 13430 }, { "epoch": 3.1, "learning_rate": 0.0003492192962013517, "loss": 0.3515, "step": 13440 }, { "epoch": 3.1, "learning_rate": 0.00034910277324632955, "loss": 0.3272, "step": 13450 }, { "epoch": 3.1, "learning_rate": 0.0003489862502913074, "loss": 0.3358, "step": 13460 }, { "epoch": 3.1, "learning_rate": 0.00034886972733628525, "loss": 0.3854, "step": 13470 }, { "epoch": 3.11, "learning_rate": 0.00034875320438126315, "loss": 0.3919, "step": 13480 }, { "epoch": 3.11, "learning_rate": 0.000348636681426241, "loss": 0.2705, "step": 13490 }, { "epoch": 3.11, "learning_rate": 0.00034852015847121884, "loss": 0.3102, "step": 13500 }, { "epoch": 3.11, "learning_rate": 0.0003484036355161967, "loss": 0.5056, "step": 13510 }, { "epoch": 3.11, "learning_rate": 0.0003482871125611746, "loss": 0.3482, "step": 13520 }, { "epoch": 3.12, "learning_rate": 0.00034817058960615244, "loss": 0.3364, "step": 13530 }, { "epoch": 3.12, "learning_rate": 0.00034805406665113024, "loss": 0.328, "step": 13540 }, { "epoch": 3.12, "learning_rate": 0.00034793754369610814, "loss": 0.3484, "step": 13550 }, { "epoch": 3.12, "learning_rate": 0.000347821020741086, "loss": 0.3948, "step": 13560 }, { "epoch": 3.13, "learning_rate": 0.0003477044977860639, "loss": 0.3593, "step": 13570 }, { "epoch": 3.13, "learning_rate": 0.0003475879748310417, "loss": 0.3694, "step": 13580 }, { "epoch": 3.13, "learning_rate": 0.0003474714518760196, "loss": 0.3409, "step": 13590 }, { "epoch": 3.13, "learning_rate": 0.00034735492892099744, "loss": 0.4645, "step": 13600 }, { "epoch": 3.14, "learning_rate": 0.0003472384059659753, "loss": 0.3569, "step": 13610 }, { "epoch": 3.14, "learning_rate": 0.00034712188301095313, "loss": 0.3359, "step": 13620 }, { "epoch": 3.14, "learning_rate": 0.00034700536005593104, "loss": 0.3948, "step": 13630 }, { "epoch": 3.14, "learning_rate": 0.0003468888371009089, "loss": 0.3631, "step": 13640 }, { "epoch": 3.14, "learning_rate": 0.00034677231414588673, "loss": 0.3676, "step": 13650 }, { "epoch": 3.15, "learning_rate": 0.0003466557911908646, "loss": 0.3725, "step": 13660 }, { "epoch": 3.15, "learning_rate": 0.0003465392682358425, "loss": 0.3383, "step": 13670 }, { "epoch": 3.15, "learning_rate": 0.00034642274528082033, "loss": 0.4721, "step": 13680 }, { "epoch": 3.15, "learning_rate": 0.0003463062223257982, "loss": 0.3461, "step": 13690 }, { "epoch": 3.16, "learning_rate": 0.00034618969937077603, "loss": 0.3888, "step": 13700 }, { "epoch": 3.16, "learning_rate": 0.00034607317641575393, "loss": 0.3821, "step": 13710 }, { "epoch": 3.16, "learning_rate": 0.0003459566534607318, "loss": 0.3944, "step": 13720 }, { "epoch": 3.16, "learning_rate": 0.00034584013050570963, "loss": 0.41, "step": 13730 }, { "epoch": 3.16, "learning_rate": 0.0003457236075506875, "loss": 0.5004, "step": 13740 }, { "epoch": 3.17, "learning_rate": 0.0003456070845956654, "loss": 0.3916, "step": 13750 }, { "epoch": 3.17, "learning_rate": 0.0003454905616406432, "loss": 0.4201, "step": 13760 }, { "epoch": 3.17, "learning_rate": 0.0003453740386856211, "loss": 0.3571, "step": 13770 }, { "epoch": 3.17, "learning_rate": 0.0003452575157305989, "loss": 0.3769, "step": 13780 }, { "epoch": 3.18, "learning_rate": 0.0003451409927755768, "loss": 0.4201, "step": 13790 }, { "epoch": 3.18, "learning_rate": 0.0003450244698205546, "loss": 0.4101, "step": 13800 }, { "epoch": 3.18, "learning_rate": 0.0003449079468655325, "loss": 0.3391, "step": 13810 }, { "epoch": 3.18, "learning_rate": 0.00034479142391051037, "loss": 0.4024, "step": 13820 }, { "epoch": 3.19, "learning_rate": 0.0003446749009554883, "loss": 0.3296, "step": 13830 }, { "epoch": 3.19, "learning_rate": 0.00034455837800046607, "loss": 0.3834, "step": 13840 }, { "epoch": 3.19, "learning_rate": 0.00034444185504544397, "loss": 0.3787, "step": 13850 }, { "epoch": 3.19, "learning_rate": 0.0003443253320904218, "loss": 0.481, "step": 13860 }, { "epoch": 3.19, "learning_rate": 0.0003442088091353997, "loss": 0.3975, "step": 13870 }, { "epoch": 3.2, "learning_rate": 0.0003440922861803775, "loss": 0.368, "step": 13880 }, { "epoch": 3.2, "learning_rate": 0.0003439757632253554, "loss": 0.3682, "step": 13890 }, { "epoch": 3.2, "learning_rate": 0.00034385924027033327, "loss": 0.3515, "step": 13900 }, { "epoch": 3.2, "learning_rate": 0.00034374271731531117, "loss": 0.3828, "step": 13910 }, { "epoch": 3.21, "learning_rate": 0.00034362619436028896, "loss": 0.315, "step": 13920 }, { "epoch": 3.21, "learning_rate": 0.00034350967140526687, "loss": 0.385, "step": 13930 }, { "epoch": 3.21, "learning_rate": 0.0003433931484502447, "loss": 0.2604, "step": 13940 }, { "epoch": 3.21, "learning_rate": 0.00034327662549522256, "loss": 0.319, "step": 13950 }, { "epoch": 3.22, "learning_rate": 0.0003431601025402004, "loss": 0.3606, "step": 13960 }, { "epoch": 3.22, "learning_rate": 0.0003430435795851783, "loss": 0.3567, "step": 13970 }, { "epoch": 3.22, "learning_rate": 0.00034292705663015616, "loss": 0.4613, "step": 13980 }, { "epoch": 3.22, "learning_rate": 0.00034281053367513396, "loss": 0.385, "step": 13990 }, { "epoch": 3.22, "learning_rate": 0.00034269401072011186, "loss": 0.3596, "step": 14000 }, { "epoch": 3.23, "learning_rate": 0.0003425774877650897, "loss": 0.3266, "step": 14010 }, { "epoch": 3.23, "learning_rate": 0.0003424609648100676, "loss": 0.3339, "step": 14020 }, { "epoch": 3.23, "learning_rate": 0.0003423444418550454, "loss": 0.4464, "step": 14030 }, { "epoch": 3.23, "learning_rate": 0.0003422279189000233, "loss": 0.3633, "step": 14040 }, { "epoch": 3.24, "learning_rate": 0.00034211139594500116, "loss": 0.4304, "step": 14050 }, { "epoch": 3.24, "learning_rate": 0.00034199487298997906, "loss": 0.3784, "step": 14060 }, { "epoch": 3.24, "learning_rate": 0.00034187835003495685, "loss": 0.2993, "step": 14070 }, { "epoch": 3.24, "learning_rate": 0.00034176182707993476, "loss": 0.3642, "step": 14080 }, { "epoch": 3.25, "learning_rate": 0.0003416453041249126, "loss": 0.3952, "step": 14090 }, { "epoch": 3.25, "learning_rate": 0.0003415287811698905, "loss": 0.3625, "step": 14100 }, { "epoch": 3.25, "learning_rate": 0.0003414122582148683, "loss": 0.4257, "step": 14110 }, { "epoch": 3.25, "learning_rate": 0.0003412957352598462, "loss": 0.362, "step": 14120 }, { "epoch": 3.25, "learning_rate": 0.00034117921230482405, "loss": 0.3809, "step": 14130 }, { "epoch": 3.26, "learning_rate": 0.0003410626893498019, "loss": 0.4442, "step": 14140 }, { "epoch": 3.26, "learning_rate": 0.00034094616639477975, "loss": 0.3999, "step": 14150 }, { "epoch": 3.26, "learning_rate": 0.00034082964343975765, "loss": 0.3906, "step": 14160 }, { "epoch": 3.26, "learning_rate": 0.0003407131204847355, "loss": 0.3515, "step": 14170 }, { "epoch": 3.27, "learning_rate": 0.00034059659752971335, "loss": 0.3556, "step": 14180 }, { "epoch": 3.27, "learning_rate": 0.0003404800745746912, "loss": 0.3242, "step": 14190 }, { "epoch": 3.27, "learning_rate": 0.0003403635516196691, "loss": 0.4274, "step": 14200 }, { "epoch": 3.27, "learning_rate": 0.00034024702866464695, "loss": 0.4594, "step": 14210 }, { "epoch": 3.28, "learning_rate": 0.0003401305057096248, "loss": 0.4227, "step": 14220 }, { "epoch": 3.28, "learning_rate": 0.00034001398275460264, "loss": 0.358, "step": 14230 }, { "epoch": 3.28, "learning_rate": 0.00033989745979958055, "loss": 0.3896, "step": 14240 }, { "epoch": 3.28, "learning_rate": 0.0003397809368445584, "loss": 0.3688, "step": 14250 }, { "epoch": 3.28, "learning_rate": 0.00033966441388953624, "loss": 0.3999, "step": 14260 }, { "epoch": 3.29, "learning_rate": 0.0003395478909345141, "loss": 0.4164, "step": 14270 }, { "epoch": 3.29, "learning_rate": 0.000339431367979492, "loss": 0.43, "step": 14280 }, { "epoch": 3.29, "learning_rate": 0.00033931484502446984, "loss": 0.3852, "step": 14290 }, { "epoch": 3.29, "learning_rate": 0.0003391983220694477, "loss": 0.3611, "step": 14300 }, { "epoch": 3.3, "learning_rate": 0.00033908179911442554, "loss": 0.4676, "step": 14310 }, { "epoch": 3.3, "learning_rate": 0.00033896527615940344, "loss": 0.3762, "step": 14320 }, { "epoch": 3.3, "learning_rate": 0.00033884875320438124, "loss": 0.4117, "step": 14330 }, { "epoch": 3.3, "learning_rate": 0.00033873223024935914, "loss": 0.3538, "step": 14340 }, { "epoch": 3.31, "learning_rate": 0.000338615707294337, "loss": 0.4657, "step": 14350 }, { "epoch": 3.31, "learning_rate": 0.0003384991843393149, "loss": 0.352, "step": 14360 }, { "epoch": 3.31, "learning_rate": 0.0003383826613842927, "loss": 0.3408, "step": 14370 }, { "epoch": 3.31, "learning_rate": 0.0003382661384292706, "loss": 0.3885, "step": 14380 }, { "epoch": 3.31, "learning_rate": 0.00033814961547424843, "loss": 0.3607, "step": 14390 }, { "epoch": 3.32, "learning_rate": 0.00033803309251922634, "loss": 0.4017, "step": 14400 }, { "epoch": 3.32, "learning_rate": 0.00033791656956420413, "loss": 0.3497, "step": 14410 }, { "epoch": 3.32, "learning_rate": 0.00033780004660918203, "loss": 0.3996, "step": 14420 }, { "epoch": 3.32, "learning_rate": 0.0003376835236541599, "loss": 0.4579, "step": 14430 }, { "epoch": 3.33, "learning_rate": 0.0003375670006991378, "loss": 0.374, "step": 14440 }, { "epoch": 3.33, "learning_rate": 0.0003374504777441156, "loss": 0.3747, "step": 14450 }, { "epoch": 3.33, "learning_rate": 0.0003373339547890935, "loss": 0.4304, "step": 14460 }, { "epoch": 3.33, "learning_rate": 0.00033721743183407133, "loss": 0.4045, "step": 14470 }, { "epoch": 3.34, "learning_rate": 0.00033710090887904923, "loss": 0.3762, "step": 14480 }, { "epoch": 3.34, "learning_rate": 0.000336984385924027, "loss": 0.4466, "step": 14490 }, { "epoch": 3.34, "learning_rate": 0.0003368678629690049, "loss": 0.4148, "step": 14500 }, { "epoch": 3.34, "learning_rate": 0.0003367513400139828, "loss": 0.3531, "step": 14510 }, { "epoch": 3.34, "learning_rate": 0.00033663481705896057, "loss": 0.3318, "step": 14520 }, { "epoch": 3.35, "learning_rate": 0.0003365182941039385, "loss": 0.3931, "step": 14530 }, { "epoch": 3.35, "learning_rate": 0.0003364017711489163, "loss": 0.2862, "step": 14540 }, { "epoch": 3.35, "learning_rate": 0.0003362852481938942, "loss": 0.4828, "step": 14550 }, { "epoch": 3.35, "learning_rate": 0.000336168725238872, "loss": 0.3579, "step": 14560 }, { "epoch": 3.36, "learning_rate": 0.0003360522022838499, "loss": 0.346, "step": 14570 }, { "epoch": 3.36, "learning_rate": 0.00033593567932882777, "loss": 0.4179, "step": 14580 }, { "epoch": 3.36, "learning_rate": 0.0003358191563738057, "loss": 0.4223, "step": 14590 }, { "epoch": 3.36, "learning_rate": 0.00033570263341878347, "loss": 0.4155, "step": 14600 }, { "epoch": 3.37, "learning_rate": 0.00033558611046376137, "loss": 0.3151, "step": 14610 }, { "epoch": 3.37, "learning_rate": 0.0003354695875087392, "loss": 0.3775, "step": 14620 }, { "epoch": 3.37, "learning_rate": 0.0003353530645537171, "loss": 0.4089, "step": 14630 }, { "epoch": 3.37, "learning_rate": 0.0003352365415986949, "loss": 0.3432, "step": 14640 }, { "epoch": 3.37, "learning_rate": 0.0003351200186436728, "loss": 0.3481, "step": 14650 }, { "epoch": 3.38, "learning_rate": 0.00033500349568865067, "loss": 0.332, "step": 14660 }, { "epoch": 3.38, "learning_rate": 0.00033488697273362857, "loss": 0.3366, "step": 14670 }, { "epoch": 3.38, "learning_rate": 0.00033477044977860636, "loss": 0.5104, "step": 14680 }, { "epoch": 3.38, "learning_rate": 0.00033465392682358427, "loss": 0.4099, "step": 14690 }, { "epoch": 3.39, "learning_rate": 0.0003345374038685621, "loss": 0.3269, "step": 14700 }, { "epoch": 3.39, "learning_rate": 0.00033442088091353996, "loss": 0.3343, "step": 14710 }, { "epoch": 3.39, "learning_rate": 0.0003343043579585178, "loss": 0.4143, "step": 14720 }, { "epoch": 3.39, "learning_rate": 0.0003341878350034957, "loss": 0.3872, "step": 14730 }, { "epoch": 3.4, "learning_rate": 0.00033407131204847356, "loss": 0.3662, "step": 14740 }, { "epoch": 3.4, "learning_rate": 0.0003339547890934514, "loss": 0.3666, "step": 14750 }, { "epoch": 3.4, "learning_rate": 0.00033383826613842926, "loss": 0.4467, "step": 14760 }, { "epoch": 3.4, "learning_rate": 0.00033372174318340716, "loss": 0.4086, "step": 14770 }, { "epoch": 3.4, "learning_rate": 0.000333605220228385, "loss": 0.4165, "step": 14780 }, { "epoch": 3.41, "learning_rate": 0.00033348869727336286, "loss": 0.3612, "step": 14790 }, { "epoch": 3.41, "learning_rate": 0.0003333721743183407, "loss": 0.3583, "step": 14800 }, { "epoch": 3.41, "learning_rate": 0.0003332556513633186, "loss": 0.3849, "step": 14810 }, { "epoch": 3.41, "learning_rate": 0.00033313912840829646, "loss": 0.4263, "step": 14820 }, { "epoch": 3.42, "learning_rate": 0.0003330226054532743, "loss": 0.2838, "step": 14830 }, { "epoch": 3.42, "learning_rate": 0.00033290608249825215, "loss": 0.2699, "step": 14840 }, { "epoch": 3.42, "learning_rate": 0.00033278955954323006, "loss": 0.3844, "step": 14850 }, { "epoch": 3.42, "learning_rate": 0.0003326730365882079, "loss": 0.3721, "step": 14860 }, { "epoch": 3.43, "learning_rate": 0.00033255651363318575, "loss": 0.4008, "step": 14870 }, { "epoch": 3.43, "learning_rate": 0.0003324399906781636, "loss": 0.4276, "step": 14880 }, { "epoch": 3.43, "learning_rate": 0.0003323234677231415, "loss": 0.3757, "step": 14890 }, { "epoch": 3.43, "learning_rate": 0.0003322069447681193, "loss": 0.4514, "step": 14900 }, { "epoch": 3.43, "learning_rate": 0.0003320904218130972, "loss": 0.3552, "step": 14910 }, { "epoch": 3.44, "learning_rate": 0.00033197389885807505, "loss": 0.4417, "step": 14920 }, { "epoch": 3.44, "learning_rate": 0.00033185737590305295, "loss": 0.3657, "step": 14930 }, { "epoch": 3.44, "learning_rate": 0.00033174085294803075, "loss": 0.3678, "step": 14940 }, { "epoch": 3.44, "learning_rate": 0.00033162432999300865, "loss": 0.3587, "step": 14950 }, { "epoch": 3.45, "learning_rate": 0.0003315078070379865, "loss": 0.3822, "step": 14960 }, { "epoch": 3.45, "learning_rate": 0.0003313912840829644, "loss": 0.4112, "step": 14970 }, { "epoch": 3.45, "learning_rate": 0.0003312747611279422, "loss": 0.4425, "step": 14980 }, { "epoch": 3.45, "learning_rate": 0.00033115823817292004, "loss": 0.4285, "step": 14990 }, { "epoch": 3.46, "learning_rate": 0.00033104171521789794, "loss": 0.4583, "step": 15000 }, { "epoch": 3.46, "learning_rate": 0.0003309251922628758, "loss": 0.497, "step": 15010 }, { "epoch": 3.46, "learning_rate": 0.00033080866930785364, "loss": 0.3621, "step": 15020 }, { "epoch": 3.46, "learning_rate": 0.0003306921463528315, "loss": 0.3378, "step": 15030 }, { "epoch": 3.46, "learning_rate": 0.0003305756233978094, "loss": 0.3557, "step": 15040 }, { "epoch": 3.47, "learning_rate": 0.0003304591004427872, "loss": 0.3905, "step": 15050 }, { "epoch": 3.47, "learning_rate": 0.0003303425774877651, "loss": 0.417, "step": 15060 }, { "epoch": 3.47, "learning_rate": 0.00033022605453274294, "loss": 0.4327, "step": 15070 }, { "epoch": 3.47, "learning_rate": 0.00033010953157772084, "loss": 0.4692, "step": 15080 }, { "epoch": 3.48, "learning_rate": 0.00032999300862269863, "loss": 0.3902, "step": 15090 }, { "epoch": 3.48, "learning_rate": 0.00032987648566767654, "loss": 0.3913, "step": 15100 }, { "epoch": 3.48, "learning_rate": 0.0003297599627126544, "loss": 0.3976, "step": 15110 }, { "epoch": 3.48, "learning_rate": 0.0003296434397576323, "loss": 0.3878, "step": 15120 }, { "epoch": 3.49, "learning_rate": 0.0003295269168026101, "loss": 0.5335, "step": 15130 }, { "epoch": 3.49, "learning_rate": 0.000329410393847588, "loss": 0.3805, "step": 15140 }, { "epoch": 3.49, "learning_rate": 0.00032929387089256583, "loss": 0.4133, "step": 15150 }, { "epoch": 3.49, "learning_rate": 0.00032917734793754374, "loss": 0.3966, "step": 15160 }, { "epoch": 3.49, "learning_rate": 0.00032906082498252153, "loss": 0.3819, "step": 15170 }, { "epoch": 3.5, "learning_rate": 0.00032894430202749943, "loss": 0.3684, "step": 15180 }, { "epoch": 3.5, "learning_rate": 0.0003288277790724773, "loss": 0.3883, "step": 15190 }, { "epoch": 3.5, "learning_rate": 0.0003287112561174552, "loss": 0.3613, "step": 15200 }, { "epoch": 3.5, "learning_rate": 0.000328594733162433, "loss": 0.4092, "step": 15210 }, { "epoch": 3.51, "learning_rate": 0.0003284782102074109, "loss": 0.3864, "step": 15220 }, { "epoch": 3.51, "learning_rate": 0.00032836168725238873, "loss": 0.3888, "step": 15230 }, { "epoch": 3.51, "learning_rate": 0.0003282451642973666, "loss": 0.4062, "step": 15240 }, { "epoch": 3.51, "learning_rate": 0.0003281286413423444, "loss": 0.4343, "step": 15250 }, { "epoch": 3.52, "learning_rate": 0.00032801211838732233, "loss": 0.4947, "step": 15260 }, { "epoch": 3.52, "learning_rate": 0.0003278955954323002, "loss": 0.3297, "step": 15270 }, { "epoch": 3.52, "learning_rate": 0.000327779072477278, "loss": 0.3375, "step": 15280 }, { "epoch": 3.52, "learning_rate": 0.0003276625495222559, "loss": 0.3941, "step": 15290 }, { "epoch": 3.52, "learning_rate": 0.0003275460265672338, "loss": 0.4277, "step": 15300 }, { "epoch": 3.53, "learning_rate": 0.0003274295036122116, "loss": 0.426, "step": 15310 }, { "epoch": 3.53, "learning_rate": 0.00032731298065718947, "loss": 0.3812, "step": 15320 }, { "epoch": 3.53, "learning_rate": 0.0003271964577021673, "loss": 0.4415, "step": 15330 }, { "epoch": 3.53, "learning_rate": 0.0003270799347471452, "loss": 0.3589, "step": 15340 }, { "epoch": 3.54, "learning_rate": 0.00032696341179212307, "loss": 0.4216, "step": 15350 }, { "epoch": 3.54, "learning_rate": 0.0003268468888371009, "loss": 0.4259, "step": 15360 }, { "epoch": 3.54, "learning_rate": 0.00032673036588207877, "loss": 0.4129, "step": 15370 }, { "epoch": 3.54, "learning_rate": 0.00032661384292705667, "loss": 0.4317, "step": 15380 }, { "epoch": 3.55, "learning_rate": 0.0003264973199720345, "loss": 0.4966, "step": 15390 }, { "epoch": 3.55, "learning_rate": 0.00032638079701701237, "loss": 0.4386, "step": 15400 }, { "epoch": 3.55, "learning_rate": 0.0003262642740619902, "loss": 0.3636, "step": 15410 }, { "epoch": 3.55, "learning_rate": 0.0003261477511069681, "loss": 0.3286, "step": 15420 }, { "epoch": 3.55, "learning_rate": 0.0003260312281519459, "loss": 0.3619, "step": 15430 }, { "epoch": 3.56, "learning_rate": 0.0003259147051969238, "loss": 0.4448, "step": 15440 }, { "epoch": 3.56, "learning_rate": 0.00032579818224190166, "loss": 0.4407, "step": 15450 }, { "epoch": 3.56, "learning_rate": 0.0003256816592868795, "loss": 0.3583, "step": 15460 }, { "epoch": 3.56, "learning_rate": 0.00032556513633185736, "loss": 0.4122, "step": 15470 }, { "epoch": 3.57, "learning_rate": 0.0003254486133768352, "loss": 0.4129, "step": 15480 }, { "epoch": 3.57, "learning_rate": 0.0003253320904218131, "loss": 0.3352, "step": 15490 }, { "epoch": 3.57, "learning_rate": 0.00032521556746679096, "loss": 0.4393, "step": 15500 }, { "epoch": 3.57, "learning_rate": 0.0003250990445117688, "loss": 0.3783, "step": 15510 }, { "epoch": 3.58, "learning_rate": 0.00032498252155674666, "loss": 0.4093, "step": 15520 }, { "epoch": 3.58, "learning_rate": 0.00032486599860172456, "loss": 0.4444, "step": 15530 }, { "epoch": 3.58, "learning_rate": 0.0003247494756467024, "loss": 0.3857, "step": 15540 }, { "epoch": 3.58, "learning_rate": 0.00032463295269168026, "loss": 0.4728, "step": 15550 }, { "epoch": 3.58, "learning_rate": 0.0003245164297366581, "loss": 0.3692, "step": 15560 }, { "epoch": 3.59, "learning_rate": 0.000324399906781636, "loss": 0.3148, "step": 15570 }, { "epoch": 3.59, "learning_rate": 0.00032428338382661386, "loss": 0.3775, "step": 15580 }, { "epoch": 3.59, "learning_rate": 0.0003241668608715917, "loss": 0.4214, "step": 15590 }, { "epoch": 3.59, "learning_rate": 0.00032405033791656955, "loss": 0.3387, "step": 15600 }, { "epoch": 3.6, "learning_rate": 0.00032393381496154745, "loss": 0.4134, "step": 15610 }, { "epoch": 3.6, "learning_rate": 0.00032381729200652525, "loss": 0.3061, "step": 15620 }, { "epoch": 3.6, "learning_rate": 0.00032370076905150315, "loss": 0.4205, "step": 15630 }, { "epoch": 3.6, "learning_rate": 0.000323584246096481, "loss": 0.4003, "step": 15640 }, { "epoch": 3.6, "learning_rate": 0.0003234677231414589, "loss": 0.4012, "step": 15650 }, { "epoch": 3.61, "learning_rate": 0.0003233512001864367, "loss": 0.4849, "step": 15660 }, { "epoch": 3.61, "learning_rate": 0.0003232346772314146, "loss": 0.3454, "step": 15670 }, { "epoch": 3.61, "learning_rate": 0.00032311815427639245, "loss": 0.3914, "step": 15680 }, { "epoch": 3.61, "learning_rate": 0.00032300163132137035, "loss": 0.4868, "step": 15690 }, { "epoch": 3.62, "learning_rate": 0.00032288510836634814, "loss": 0.4, "step": 15700 }, { "epoch": 3.62, "learning_rate": 0.00032276858541132605, "loss": 0.4648, "step": 15710 }, { "epoch": 3.62, "learning_rate": 0.0003226520624563039, "loss": 0.3908, "step": 15720 }, { "epoch": 3.62, "learning_rate": 0.0003225355395012818, "loss": 0.51, "step": 15730 }, { "epoch": 3.63, "learning_rate": 0.0003224190165462596, "loss": 0.3576, "step": 15740 }, { "epoch": 3.63, "learning_rate": 0.0003223024935912375, "loss": 0.3894, "step": 15750 }, { "epoch": 3.63, "learning_rate": 0.00032218597063621534, "loss": 0.4271, "step": 15760 }, { "epoch": 3.63, "learning_rate": 0.00032206944768119325, "loss": 0.389, "step": 15770 }, { "epoch": 3.63, "learning_rate": 0.00032195292472617104, "loss": 0.4048, "step": 15780 }, { "epoch": 3.64, "learning_rate": 0.00032183640177114894, "loss": 0.3575, "step": 15790 }, { "epoch": 3.64, "learning_rate": 0.0003217198788161268, "loss": 0.4004, "step": 15800 }, { "epoch": 3.64, "learning_rate": 0.00032160335586110464, "loss": 0.3556, "step": 15810 }, { "epoch": 3.64, "learning_rate": 0.0003214868329060825, "loss": 0.3672, "step": 15820 }, { "epoch": 3.65, "learning_rate": 0.0003213703099510604, "loss": 0.3894, "step": 15830 }, { "epoch": 3.65, "learning_rate": 0.00032125378699603824, "loss": 0.3964, "step": 15840 }, { "epoch": 3.65, "learning_rate": 0.0003211372640410161, "loss": 0.4496, "step": 15850 }, { "epoch": 3.65, "learning_rate": 0.00032102074108599394, "loss": 0.3854, "step": 15860 }, { "epoch": 3.66, "learning_rate": 0.00032090421813097184, "loss": 0.428, "step": 15870 }, { "epoch": 3.66, "learning_rate": 0.0003207876951759497, "loss": 0.3453, "step": 15880 }, { "epoch": 3.66, "learning_rate": 0.00032067117222092753, "loss": 0.3847, "step": 15890 }, { "epoch": 3.66, "learning_rate": 0.0003205546492659054, "loss": 0.3499, "step": 15900 }, { "epoch": 3.66, "learning_rate": 0.0003204381263108833, "loss": 0.3786, "step": 15910 }, { "epoch": 3.67, "learning_rate": 0.00032032160335586113, "loss": 0.4293, "step": 15920 }, { "epoch": 3.67, "learning_rate": 0.00032020508040083893, "loss": 0.3711, "step": 15930 }, { "epoch": 3.67, "learning_rate": 0.00032008855744581683, "loss": 0.3793, "step": 15940 }, { "epoch": 3.67, "learning_rate": 0.0003199720344907947, "loss": 0.4998, "step": 15950 }, { "epoch": 3.68, "learning_rate": 0.0003198555115357726, "loss": 0.402, "step": 15960 }, { "epoch": 3.68, "learning_rate": 0.0003197389885807504, "loss": 0.3963, "step": 15970 }, { "epoch": 3.68, "learning_rate": 0.0003196224656257283, "loss": 0.336, "step": 15980 }, { "epoch": 3.68, "learning_rate": 0.00031950594267070613, "loss": 0.3906, "step": 15990 }, { "epoch": 3.69, "learning_rate": 0.000319389419715684, "loss": 0.4359, "step": 16000 }, { "epoch": 3.69, "learning_rate": 0.0003192728967606618, "loss": 0.4425, "step": 16010 }, { "epoch": 3.69, "learning_rate": 0.0003191563738056397, "loss": 0.3933, "step": 16020 }, { "epoch": 3.69, "learning_rate": 0.0003190398508506176, "loss": 0.3802, "step": 16030 }, { "epoch": 3.69, "learning_rate": 0.0003189233278955954, "loss": 0.4211, "step": 16040 }, { "epoch": 3.7, "learning_rate": 0.00031880680494057327, "loss": 0.4331, "step": 16050 }, { "epoch": 3.7, "learning_rate": 0.0003186902819855512, "loss": 0.4106, "step": 16060 }, { "epoch": 3.7, "learning_rate": 0.000318573759030529, "loss": 0.326, "step": 16070 }, { "epoch": 3.7, "learning_rate": 0.00031845723607550687, "loss": 0.444, "step": 16080 }, { "epoch": 3.71, "learning_rate": 0.0003183407131204847, "loss": 0.3604, "step": 16090 }, { "epoch": 3.71, "learning_rate": 0.0003182241901654626, "loss": 0.3256, "step": 16100 }, { "epoch": 3.71, "learning_rate": 0.00031810766721044047, "loss": 0.4363, "step": 16110 }, { "epoch": 3.71, "learning_rate": 0.0003179911442554183, "loss": 0.4663, "step": 16120 }, { "epoch": 3.72, "learning_rate": 0.00031787462130039617, "loss": 0.4167, "step": 16130 }, { "epoch": 3.72, "learning_rate": 0.00031775809834537407, "loss": 0.371, "step": 16140 }, { "epoch": 3.72, "learning_rate": 0.0003176415753903519, "loss": 0.4051, "step": 16150 }, { "epoch": 3.72, "learning_rate": 0.00031752505243532977, "loss": 0.4683, "step": 16160 }, { "epoch": 3.72, "learning_rate": 0.0003174085294803076, "loss": 0.4194, "step": 16170 }, { "epoch": 3.73, "learning_rate": 0.0003172920065252855, "loss": 0.3889, "step": 16180 }, { "epoch": 3.73, "learning_rate": 0.0003171754835702633, "loss": 0.3615, "step": 16190 }, { "epoch": 3.73, "learning_rate": 0.0003170589606152412, "loss": 0.4925, "step": 16200 }, { "epoch": 3.73, "learning_rate": 0.00031694243766021906, "loss": 0.3992, "step": 16210 }, { "epoch": 3.74, "learning_rate": 0.00031682591470519697, "loss": 0.459, "step": 16220 }, { "epoch": 3.74, "learning_rate": 0.00031670939175017476, "loss": 0.3699, "step": 16230 }, { "epoch": 3.74, "learning_rate": 0.00031659286879515266, "loss": 0.4306, "step": 16240 }, { "epoch": 3.74, "learning_rate": 0.0003164763458401305, "loss": 0.3863, "step": 16250 }, { "epoch": 3.75, "learning_rate": 0.0003163598228851084, "loss": 0.4378, "step": 16260 }, { "epoch": 3.75, "learning_rate": 0.0003162432999300862, "loss": 0.486, "step": 16270 }, { "epoch": 3.75, "learning_rate": 0.0003161267769750641, "loss": 0.3251, "step": 16280 }, { "epoch": 3.75, "learning_rate": 0.00031601025402004196, "loss": 0.3267, "step": 16290 }, { "epoch": 3.75, "learning_rate": 0.00031589373106501986, "loss": 0.3773, "step": 16300 }, { "epoch": 3.76, "learning_rate": 0.00031577720810999765, "loss": 0.3589, "step": 16310 }, { "epoch": 3.76, "learning_rate": 0.00031566068515497556, "loss": 0.4671, "step": 16320 }, { "epoch": 3.76, "learning_rate": 0.0003155441621999534, "loss": 0.4616, "step": 16330 }, { "epoch": 3.76, "learning_rate": 0.00031542763924493125, "loss": 0.3728, "step": 16340 }, { "epoch": 3.77, "learning_rate": 0.0003153111162899091, "loss": 0.4246, "step": 16350 }, { "epoch": 3.77, "learning_rate": 0.000315194593334887, "loss": 0.4186, "step": 16360 }, { "epoch": 3.77, "learning_rate": 0.00031507807037986485, "loss": 0.4021, "step": 16370 }, { "epoch": 3.77, "learning_rate": 0.0003149615474248427, "loss": 0.3895, "step": 16380 }, { "epoch": 3.78, "learning_rate": 0.00031484502446982055, "loss": 0.4319, "step": 16390 }, { "epoch": 3.78, "learning_rate": 0.00031472850151479845, "loss": 0.3498, "step": 16400 }, { "epoch": 3.78, "learning_rate": 0.0003146119785597763, "loss": 0.3789, "step": 16410 }, { "epoch": 3.78, "learning_rate": 0.0003144954556047541, "loss": 0.3468, "step": 16420 }, { "epoch": 3.78, "learning_rate": 0.000314378932649732, "loss": 0.4274, "step": 16430 }, { "epoch": 3.79, "learning_rate": 0.00031426240969470985, "loss": 0.4027, "step": 16440 }, { "epoch": 3.79, "learning_rate": 0.00031414588673968775, "loss": 0.444, "step": 16450 }, { "epoch": 3.79, "learning_rate": 0.00031402936378466554, "loss": 0.41, "step": 16460 }, { "epoch": 3.79, "learning_rate": 0.00031391284082964345, "loss": 0.4299, "step": 16470 }, { "epoch": 3.8, "learning_rate": 0.0003137963178746213, "loss": 0.4295, "step": 16480 }, { "epoch": 3.8, "learning_rate": 0.0003136797949195992, "loss": 0.4359, "step": 16490 }, { "epoch": 3.8, "learning_rate": 0.000313563271964577, "loss": 0.4861, "step": 16500 }, { "epoch": 3.8, "learning_rate": 0.0003134467490095549, "loss": 0.4234, "step": 16510 }, { "epoch": 3.81, "learning_rate": 0.00031333022605453274, "loss": 0.4391, "step": 16520 }, { "epoch": 3.81, "learning_rate": 0.0003132137030995106, "loss": 0.3835, "step": 16530 }, { "epoch": 3.81, "learning_rate": 0.00031309718014448844, "loss": 0.4576, "step": 16540 }, { "epoch": 3.81, "learning_rate": 0.00031298065718946634, "loss": 0.3758, "step": 16550 }, { "epoch": 3.81, "learning_rate": 0.0003128641342344442, "loss": 0.3515, "step": 16560 }, { "epoch": 3.82, "learning_rate": 0.00031274761127942204, "loss": 0.4279, "step": 16570 }, { "epoch": 3.82, "learning_rate": 0.0003126310883243999, "loss": 0.3725, "step": 16580 }, { "epoch": 3.82, "learning_rate": 0.0003125145653693778, "loss": 0.4366, "step": 16590 }, { "epoch": 3.82, "learning_rate": 0.00031239804241435564, "loss": 0.3677, "step": 16600 }, { "epoch": 3.83, "learning_rate": 0.0003122815194593335, "loss": 0.4184, "step": 16610 }, { "epoch": 3.83, "learning_rate": 0.00031216499650431133, "loss": 0.3896, "step": 16620 }, { "epoch": 3.83, "learning_rate": 0.00031204847354928924, "loss": 0.4163, "step": 16630 }, { "epoch": 3.83, "learning_rate": 0.0003119319505942671, "loss": 0.3889, "step": 16640 }, { "epoch": 3.84, "learning_rate": 0.00031181542763924493, "loss": 0.455, "step": 16650 }, { "epoch": 3.84, "learning_rate": 0.0003116989046842228, "loss": 0.3758, "step": 16660 }, { "epoch": 3.84, "learning_rate": 0.0003115823817292007, "loss": 0.3656, "step": 16670 }, { "epoch": 3.84, "learning_rate": 0.00031146585877417853, "loss": 0.3781, "step": 16680 }, { "epoch": 3.84, "learning_rate": 0.0003113493358191564, "loss": 0.3993, "step": 16690 }, { "epoch": 3.85, "learning_rate": 0.00031123281286413423, "loss": 0.4871, "step": 16700 }, { "epoch": 3.85, "learning_rate": 0.00031111628990911213, "loss": 0.4029, "step": 16710 }, { "epoch": 3.85, "learning_rate": 0.0003109997669540899, "loss": 0.3955, "step": 16720 }, { "epoch": 3.85, "learning_rate": 0.00031088324399906783, "loss": 0.4014, "step": 16730 }, { "epoch": 3.86, "learning_rate": 0.0003107667210440457, "loss": 0.4119, "step": 16740 }, { "epoch": 3.86, "learning_rate": 0.0003106501980890236, "loss": 0.4613, "step": 16750 }, { "epoch": 3.86, "learning_rate": 0.0003105336751340014, "loss": 0.3741, "step": 16760 }, { "epoch": 3.86, "learning_rate": 0.0003104171521789793, "loss": 0.4436, "step": 16770 }, { "epoch": 3.87, "learning_rate": 0.0003103006292239571, "loss": 0.4412, "step": 16780 }, { "epoch": 3.87, "learning_rate": 0.00031018410626893503, "loss": 0.4534, "step": 16790 }, { "epoch": 3.87, "learning_rate": 0.0003100675833139128, "loss": 0.4121, "step": 16800 }, { "epoch": 3.87, "learning_rate": 0.0003099510603588907, "loss": 0.4208, "step": 16810 }, { "epoch": 3.87, "learning_rate": 0.00030983453740386857, "loss": 0.4304, "step": 16820 }, { "epoch": 3.88, "learning_rate": 0.0003097180144488465, "loss": 0.3814, "step": 16830 }, { "epoch": 3.88, "learning_rate": 0.00030960149149382427, "loss": 0.4537, "step": 16840 }, { "epoch": 3.88, "learning_rate": 0.00030948496853880217, "loss": 0.3598, "step": 16850 }, { "epoch": 3.88, "learning_rate": 0.00030936844558378, "loss": 0.4689, "step": 16860 }, { "epoch": 3.89, "learning_rate": 0.0003092519226287579, "loss": 0.4239, "step": 16870 }, { "epoch": 3.89, "learning_rate": 0.0003091353996737357, "loss": 0.4838, "step": 16880 }, { "epoch": 3.89, "learning_rate": 0.0003090188767187136, "loss": 0.3399, "step": 16890 }, { "epoch": 3.89, "learning_rate": 0.00030890235376369147, "loss": 0.4228, "step": 16900 }, { "epoch": 3.9, "learning_rate": 0.00030878583080866926, "loss": 0.408, "step": 16910 }, { "epoch": 3.9, "learning_rate": 0.00030866930785364717, "loss": 0.3553, "step": 16920 }, { "epoch": 3.9, "learning_rate": 0.000308552784898625, "loss": 0.4471, "step": 16930 }, { "epoch": 3.9, "learning_rate": 0.0003084362619436029, "loss": 0.3707, "step": 16940 }, { "epoch": 3.9, "learning_rate": 0.0003083197389885807, "loss": 0.4226, "step": 16950 }, { "epoch": 3.91, "learning_rate": 0.0003082032160335586, "loss": 0.3847, "step": 16960 }, { "epoch": 3.91, "learning_rate": 0.00030808669307853646, "loss": 0.3488, "step": 16970 }, { "epoch": 3.91, "learning_rate": 0.00030797017012351436, "loss": 0.3581, "step": 16980 }, { "epoch": 3.91, "learning_rate": 0.00030785364716849216, "loss": 0.4423, "step": 16990 }, { "epoch": 3.92, "learning_rate": 0.00030773712421347006, "loss": 0.3793, "step": 17000 }, { "epoch": 3.92, "learning_rate": 0.0003076206012584479, "loss": 0.4583, "step": 17010 }, { "epoch": 3.92, "learning_rate": 0.0003075040783034258, "loss": 0.4894, "step": 17020 }, { "epoch": 3.92, "learning_rate": 0.0003073875553484036, "loss": 0.4853, "step": 17030 }, { "epoch": 3.93, "learning_rate": 0.0003072710323933815, "loss": 0.3569, "step": 17040 }, { "epoch": 3.93, "learning_rate": 0.00030715450943835936, "loss": 0.4572, "step": 17050 }, { "epoch": 3.93, "learning_rate": 0.00030703798648333726, "loss": 0.444, "step": 17060 }, { "epoch": 3.93, "learning_rate": 0.00030692146352831505, "loss": 0.4176, "step": 17070 }, { "epoch": 3.93, "learning_rate": 0.00030680494057329296, "loss": 0.4235, "step": 17080 }, { "epoch": 3.94, "learning_rate": 0.0003066884176182708, "loss": 0.4773, "step": 17090 }, { "epoch": 3.94, "learning_rate": 0.00030657189466324865, "loss": 0.416, "step": 17100 }, { "epoch": 3.94, "learning_rate": 0.0003064553717082265, "loss": 0.4587, "step": 17110 }, { "epoch": 3.94, "learning_rate": 0.0003063388487532044, "loss": 0.4066, "step": 17120 }, { "epoch": 3.95, "learning_rate": 0.00030622232579818225, "loss": 0.3455, "step": 17130 }, { "epoch": 3.95, "learning_rate": 0.0003061058028431601, "loss": 0.462, "step": 17140 }, { "epoch": 3.95, "learning_rate": 0.00030598927988813795, "loss": 0.4757, "step": 17150 }, { "epoch": 3.95, "learning_rate": 0.00030587275693311585, "loss": 0.3779, "step": 17160 }, { "epoch": 3.96, "learning_rate": 0.0003057562339780937, "loss": 0.3778, "step": 17170 }, { "epoch": 3.96, "learning_rate": 0.00030563971102307155, "loss": 0.4172, "step": 17180 }, { "epoch": 3.96, "learning_rate": 0.0003055231880680494, "loss": 0.5275, "step": 17190 }, { "epoch": 3.96, "learning_rate": 0.0003054066651130273, "loss": 0.4051, "step": 17200 }, { "epoch": 3.96, "learning_rate": 0.00030529014215800515, "loss": 0.3594, "step": 17210 }, { "epoch": 3.97, "learning_rate": 0.000305173619202983, "loss": 0.4589, "step": 17220 }, { "epoch": 3.97, "learning_rate": 0.00030505709624796084, "loss": 0.4427, "step": 17230 }, { "epoch": 3.97, "learning_rate": 0.00030494057329293875, "loss": 0.4177, "step": 17240 }, { "epoch": 3.97, "learning_rate": 0.0003048240503379166, "loss": 0.3853, "step": 17250 }, { "epoch": 3.98, "learning_rate": 0.00030470752738289444, "loss": 0.4029, "step": 17260 }, { "epoch": 3.98, "learning_rate": 0.0003045910044278723, "loss": 0.4892, "step": 17270 }, { "epoch": 3.98, "learning_rate": 0.0003044744814728502, "loss": 0.3959, "step": 17280 }, { "epoch": 3.98, "learning_rate": 0.000304357958517828, "loss": 0.4701, "step": 17290 }, { "epoch": 3.99, "learning_rate": 0.0003042414355628059, "loss": 0.366, "step": 17300 }, { "epoch": 3.99, "learning_rate": 0.00030412491260778374, "loss": 0.3826, "step": 17310 }, { "epoch": 3.99, "learning_rate": 0.00030400838965276164, "loss": 0.378, "step": 17320 }, { "epoch": 3.99, "learning_rate": 0.00030389186669773944, "loss": 0.4033, "step": 17330 }, { "epoch": 3.99, "learning_rate": 0.00030377534374271734, "loss": 0.4646, "step": 17340 }, { "epoch": 4.0, "learning_rate": 0.0003036588207876952, "loss": 0.4589, "step": 17350 }, { "epoch": 4.0, "learning_rate": 0.0003035422978326731, "loss": 0.5188, "step": 17360 }, { "epoch": 4.0, "eval_Bleu_1": 0.005368360936607346, "eval_Bleu_2": 2.1529258556147605e-11, "eval_Bleu_3": 3.921163253647881e-14, "eval_Bleu_4": 1.83228507309933e-15, "eval_ROUGE_L": 0.008549703525608982, "eval_cer": 0.4694332130837954, "eval_em": 0.5671390013495277, "eval_f1": 0.7247699680587338, "eval_loss": 0.8551194071769714, "eval_runtime": 321.1768, "eval_samples_per_second": 18.457, "eval_steps_per_second": 3.693, "eval_wer": 0.5537877989674428, "step": 17365 } ], "max_steps": 43410, "num_train_epochs": 10, "total_flos": 1.3589112280001126e+17, "trial_name": null, "trial_params": null }