{ "best_metric": null, "best_model_checkpoint": null, "epoch": 24.146917358985572, "global_step": 27600, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.02, "learning_rate": 4.9999999999999996e-06, "loss": 155.33, "step": 10 }, { "epoch": 0.03, "learning_rate": 9.999999999999999e-06, "loss": 175.1775, "step": 20 }, { "epoch": 0.05, "learning_rate": 1.4999999999999999e-05, "loss": 165.6332, "step": 30 }, { "epoch": 0.07, "learning_rate": 1.9999999999999998e-05, "loss": 161.1489, "step": 40 }, { "epoch": 0.09, "learning_rate": 2.4999999999999998e-05, "loss": 176.11, "step": 50 }, { "epoch": 0.1, "learning_rate": 2.9999999999999997e-05, "loss": 153.7462, "step": 60 }, { "epoch": 0.12, "learning_rate": 3.5e-05, "loss": 170.9414, "step": 70 }, { "epoch": 0.14, "learning_rate": 3.9999999999999996e-05, "loss": 160.0549, "step": 80 }, { "epoch": 0.16, "learning_rate": 4.4999999999999996e-05, "loss": 151.4735, "step": 90 }, { "epoch": 0.17, "learning_rate": 4.9999999999999996e-05, "loss": 167.8096, "step": 100 }, { "epoch": 0.19, "learning_rate": 5.499999999999999e-05, "loss": 141.9121, "step": 110 }, { "epoch": 0.21, "learning_rate": 5.9999999999999995e-05, "loss": 153.8951, "step": 120 }, { "epoch": 0.23, "learning_rate": 6.5e-05, "loss": 131.0289, "step": 130 }, { "epoch": 0.24, "learning_rate": 7e-05, "loss": 101.1117, "step": 140 }, { "epoch": 0.26, "learning_rate": 7.5e-05, "loss": 100.5863, "step": 150 }, { "epoch": 0.28, "learning_rate": 7.999999999999999e-05, "loss": 80.6457, "step": 160 }, { "epoch": 0.3, "learning_rate": 8.499999999999999e-05, "loss": 80.4102, "step": 170 }, { "epoch": 0.31, "learning_rate": 8.999999999999999e-05, "loss": 70.8443, "step": 180 }, { "epoch": 0.33, "learning_rate": 9.499999999999999e-05, "loss": 61.107, "step": 190 }, { "epoch": 0.35, "learning_rate": 9.999999999999999e-05, "loss": 56.9596, "step": 200 }, { "epoch": 0.37, "learning_rate": 0.00010499999999999999, "loss": 40.8098, "step": 210 }, { "epoch": 0.38, "learning_rate": 0.00010999999999999998, "loss": 36.5124, "step": 220 }, { "epoch": 0.4, "learning_rate": 0.000115, "loss": 28.1064, "step": 230 }, { "epoch": 0.42, "learning_rate": 0.00011999999999999999, "loss": 20.9962, "step": 240 }, { "epoch": 0.44, "learning_rate": 0.000125, "loss": 16.4393, "step": 250 }, { "epoch": 0.45, "learning_rate": 0.00013, "loss": 10.9059, "step": 260 }, { "epoch": 0.47, "learning_rate": 0.000135, "loss": 8.8954, "step": 270 }, { "epoch": 0.49, "learning_rate": 0.00014, "loss": 7.7207, "step": 280 }, { "epoch": 0.51, "learning_rate": 0.000145, "loss": 7.0725, "step": 290 }, { "epoch": 0.52, "learning_rate": 0.00015, "loss": 6.9189, "step": 300 }, { "epoch": 0.54, "learning_rate": 0.000155, "loss": 6.9459, "step": 310 }, { "epoch": 0.56, "learning_rate": 0.00015999999999999999, "loss": 6.8881, "step": 320 }, { "epoch": 0.58, "learning_rate": 0.000165, "loss": 6.8779, "step": 330 }, { "epoch": 0.59, "learning_rate": 0.00016999999999999999, "loss": 6.897, "step": 340 }, { "epoch": 0.61, "learning_rate": 0.000175, "loss": 6.7802, "step": 350 }, { "epoch": 0.63, "learning_rate": 0.00017999999999999998, "loss": 6.8897, "step": 360 }, { "epoch": 0.65, "learning_rate": 0.000185, "loss": 6.8261, "step": 370 }, { "epoch": 0.66, "learning_rate": 0.00018999999999999998, "loss": 6.7646, "step": 380 }, { "epoch": 0.68, "learning_rate": 0.000195, "loss": 6.7816, "step": 390 }, { "epoch": 0.7, "learning_rate": 0.00019999999999999998, "loss": 6.7041, "step": 400 }, { "epoch": 0.72, "learning_rate": 0.000205, "loss": 6.7975, "step": 410 }, { "epoch": 0.73, "learning_rate": 0.00020999999999999998, "loss": 6.6509, "step": 420 }, { "epoch": 0.75, "learning_rate": 0.000215, "loss": 6.6573, "step": 430 }, { "epoch": 0.77, "learning_rate": 0.00021999999999999995, "loss": 6.6817, "step": 440 }, { "epoch": 0.79, "learning_rate": 0.000225, "loss": 6.5168, "step": 450 }, { "epoch": 0.8, "learning_rate": 0.00023, "loss": 6.7404, "step": 460 }, { "epoch": 0.82, "learning_rate": 0.00023499999999999997, "loss": 6.605, "step": 470 }, { "epoch": 0.84, "learning_rate": 0.00023999999999999998, "loss": 6.5657, "step": 480 }, { "epoch": 0.86, "learning_rate": 0.000245, "loss": 6.6316, "step": 490 }, { "epoch": 0.87, "learning_rate": 0.00025, "loss": 6.4709, "step": 500 }, { "epoch": 0.89, "learning_rate": 0.00025499999999999996, "loss": 6.6643, "step": 510 }, { "epoch": 0.91, "learning_rate": 0.00026, "loss": 6.5056, "step": 520 }, { "epoch": 0.93, "learning_rate": 0.000265, "loss": 6.5331, "step": 530 }, { "epoch": 0.94, "learning_rate": 0.00027, "loss": 6.5842, "step": 540 }, { "epoch": 0.96, "learning_rate": 0.00027499999999999996, "loss": 6.4195, "step": 550 }, { "epoch": 0.98, "learning_rate": 0.00028, "loss": 6.6377, "step": 560 }, { "epoch": 1.0, "learning_rate": 0.000285, "loss": 6.4403, "step": 570 }, { "epoch": 1.01, "learning_rate": 0.00029, "loss": 6.5407, "step": 580 }, { "epoch": 1.03, "learning_rate": 0.00029499999999999996, "loss": 6.5123, "step": 590 }, { "epoch": 1.05, "learning_rate": 0.0003, "loss": 6.4086, "step": 600 }, { "epoch": 1.05, "eval_cer": 1.0, "eval_loss": 6.509830951690674, "eval_runtime": 1134.0889, "eval_samples_per_second": 7.724, "eval_wer": 1.0, "step": 600 }, { "epoch": 1.07, "learning_rate": 0.00029986535008976655, "loss": 6.5638, "step": 610 }, { "epoch": 1.08, "learning_rate": 0.0002997307001795332, "loss": 6.4348, "step": 620 }, { "epoch": 1.1, "learning_rate": 0.0002995960502692998, "loss": 6.5179, "step": 630 }, { "epoch": 1.12, "learning_rate": 0.0002994614003590664, "loss": 6.4513, "step": 640 }, { "epoch": 1.14, "learning_rate": 0.000299326750448833, "loss": 6.4153, "step": 650 }, { "epoch": 1.15, "learning_rate": 0.0002991921005385996, "loss": 6.5478, "step": 660 }, { "epoch": 1.17, "learning_rate": 0.0002990574506283662, "loss": 6.3301, "step": 670 }, { "epoch": 1.19, "learning_rate": 0.0002989228007181328, "loss": 6.5422, "step": 680 }, { "epoch": 1.21, "learning_rate": 0.00029878815080789945, "loss": 6.4761, "step": 690 }, { "epoch": 1.22, "learning_rate": 0.0002986535008976661, "loss": 6.3739, "step": 700 }, { "epoch": 1.24, "learning_rate": 0.00029851885098743265, "loss": 6.5702, "step": 710 }, { "epoch": 1.26, "learning_rate": 0.0002983842010771993, "loss": 6.3541, "step": 720 }, { "epoch": 1.28, "learning_rate": 0.00029824955116696585, "loss": 6.5389, "step": 730 }, { "epoch": 1.29, "learning_rate": 0.0002981149012567325, "loss": 6.4416, "step": 740 }, { "epoch": 1.31, "learning_rate": 0.00029798025134649905, "loss": 6.3941, "step": 750 }, { "epoch": 1.33, "learning_rate": 0.0002978456014362657, "loss": 6.784, "step": 760 }, { "epoch": 1.35, "learning_rate": 0.0002977109515260323, "loss": 6.3669, "step": 770 }, { "epoch": 1.36, "learning_rate": 0.0002975763016157989, "loss": 6.5267, "step": 780 }, { "epoch": 1.38, "learning_rate": 0.0002974416517055655, "loss": 6.4389, "step": 790 }, { "epoch": 1.4, "learning_rate": 0.0002973070017953321, "loss": 6.3461, "step": 800 }, { "epoch": 1.42, "learning_rate": 0.0002971723518850987, "loss": 6.5165, "step": 810 }, { "epoch": 1.43, "learning_rate": 0.00029703770197486533, "loss": 6.3583, "step": 820 }, { "epoch": 1.45, "learning_rate": 0.00029690305206463196, "loss": 6.5063, "step": 830 }, { "epoch": 1.47, "learning_rate": 0.00029676840215439853, "loss": 6.4102, "step": 840 }, { "epoch": 1.49, "learning_rate": 0.00029663375224416516, "loss": 6.3466, "step": 850 }, { "epoch": 1.5, "learning_rate": 0.00029649910233393173, "loss": 6.5043, "step": 860 }, { "epoch": 1.52, "learning_rate": 0.00029636445242369836, "loss": 6.3248, "step": 870 }, { "epoch": 1.54, "learning_rate": 0.000296229802513465, "loss": 6.4586, "step": 880 }, { "epoch": 1.56, "learning_rate": 0.00029609515260323155, "loss": 6.4547, "step": 890 }, { "epoch": 1.57, "learning_rate": 0.0002959605026929982, "loss": 6.3167, "step": 900 }, { "epoch": 1.59, "learning_rate": 0.00029582585278276475, "loss": 6.4654, "step": 910 }, { "epoch": 1.61, "learning_rate": 0.0002956912028725314, "loss": 6.2638, "step": 920 }, { "epoch": 1.63, "learning_rate": 0.000295556552962298, "loss": 6.4081, "step": 930 }, { "epoch": 1.64, "learning_rate": 0.00029542190305206463, "loss": 6.367, "step": 940 }, { "epoch": 1.66, "learning_rate": 0.0002952872531418312, "loss": 6.3051, "step": 950 }, { "epoch": 1.68, "learning_rate": 0.00029515260323159783, "loss": 6.481, "step": 960 }, { "epoch": 1.7, "learning_rate": 0.0002950179533213644, "loss": 6.2663, "step": 970 }, { "epoch": 1.71, "learning_rate": 0.00029488330341113103, "loss": 6.4301, "step": 980 }, { "epoch": 1.73, "learning_rate": 0.00029474865350089766, "loss": 6.2978, "step": 990 }, { "epoch": 1.75, "learning_rate": 0.0002946140035906643, "loss": 6.2719, "step": 1000 }, { "epoch": 1.77, "learning_rate": 0.00029447935368043086, "loss": 6.41, "step": 1010 }, { "epoch": 1.78, "learning_rate": 0.0002943447037701975, "loss": 6.2289, "step": 1020 }, { "epoch": 1.8, "learning_rate": 0.00029421005385996406, "loss": 6.3948, "step": 1030 }, { "epoch": 1.82, "learning_rate": 0.0002940754039497307, "loss": 6.3203, "step": 1040 }, { "epoch": 1.84, "learning_rate": 0.00029394075403949726, "loss": 6.1822, "step": 1050 }, { "epoch": 1.85, "learning_rate": 0.0002938061041292639, "loss": 6.3675, "step": 1060 }, { "epoch": 1.87, "learning_rate": 0.0002936714542190305, "loss": 6.2043, "step": 1070 }, { "epoch": 1.89, "learning_rate": 0.0002935368043087971, "loss": 6.3436, "step": 1080 }, { "epoch": 1.91, "learning_rate": 0.0002934021543985637, "loss": 6.2709, "step": 1090 }, { "epoch": 1.92, "learning_rate": 0.0002932675044883303, "loss": 6.171, "step": 1100 }, { "epoch": 1.94, "learning_rate": 0.0002931328545780969, "loss": 6.296, "step": 1110 }, { "epoch": 1.96, "learning_rate": 0.00029299820466786354, "loss": 6.1652, "step": 1120 }, { "epoch": 1.98, "learning_rate": 0.00029286355475763016, "loss": 6.2756, "step": 1130 }, { "epoch": 1.99, "learning_rate": 0.00029272890484739674, "loss": 6.1802, "step": 1140 }, { "epoch": 2.01, "learning_rate": 0.00029259425493716336, "loss": 6.1664, "step": 1150 }, { "epoch": 2.03, "learning_rate": 0.00029245960502692994, "loss": 6.1878, "step": 1160 }, { "epoch": 2.05, "learning_rate": 0.00029232495511669656, "loss": 5.9369, "step": 1170 }, { "epoch": 2.06, "learning_rate": 0.0002921903052064632, "loss": 6.1776, "step": 1180 }, { "epoch": 2.08, "learning_rate": 0.00029205565529622976, "loss": 6.0142, "step": 1190 }, { "epoch": 2.1, "learning_rate": 0.0002919210053859964, "loss": 6.1265, "step": 1200 }, { "epoch": 2.1, "eval_cer": 0.9626404073685787, "eval_loss": 5.982735633850098, "eval_runtime": 1169.314, "eval_samples_per_second": 7.492, "eval_wer": 1.0, "step": 1200 }, { "epoch": 2.12, "learning_rate": 0.00029178635547576296, "loss": 5.9301, "step": 1210 }, { "epoch": 2.13, "learning_rate": 0.0002916517055655296, "loss": 5.9003, "step": 1220 }, { "epoch": 2.15, "learning_rate": 0.0002915170556552962, "loss": 5.7485, "step": 1230 }, { "epoch": 2.17, "learning_rate": 0.00029138240574506284, "loss": 5.6099, "step": 1240 }, { "epoch": 2.19, "learning_rate": 0.0002912477558348294, "loss": 5.5064, "step": 1250 }, { "epoch": 2.2, "learning_rate": 0.00029111310592459604, "loss": 5.3511, "step": 1260 }, { "epoch": 2.22, "learning_rate": 0.0002909784560143626, "loss": 5.1143, "step": 1270 }, { "epoch": 2.24, "learning_rate": 0.00029084380610412924, "loss": 4.9744, "step": 1280 }, { "epoch": 2.26, "learning_rate": 0.00029070915619389587, "loss": 4.6601, "step": 1290 }, { "epoch": 2.27, "learning_rate": 0.00029057450628366244, "loss": 4.3969, "step": 1300 }, { "epoch": 2.29, "learning_rate": 0.00029043985637342907, "loss": 4.2051, "step": 1310 }, { "epoch": 2.31, "learning_rate": 0.00029030520646319564, "loss": 4.1824, "step": 1320 }, { "epoch": 2.33, "learning_rate": 0.00029017055655296227, "loss": 4.0095, "step": 1330 }, { "epoch": 2.34, "learning_rate": 0.00029003590664272884, "loss": 3.8963, "step": 1340 }, { "epoch": 2.36, "learning_rate": 0.00028990125673249547, "loss": 3.7867, "step": 1350 }, { "epoch": 2.38, "learning_rate": 0.0002897666068222621, "loss": 3.7578, "step": 1360 }, { "epoch": 2.4, "learning_rate": 0.0002896319569120287, "loss": 3.7065, "step": 1370 }, { "epoch": 2.41, "learning_rate": 0.0002894973070017953, "loss": 3.5965, "step": 1380 }, { "epoch": 2.43, "learning_rate": 0.0002893626570915619, "loss": 3.5597, "step": 1390 }, { "epoch": 2.45, "learning_rate": 0.0002892280071813285, "loss": 3.5877, "step": 1400 }, { "epoch": 2.47, "learning_rate": 0.0002890933572710951, "loss": 3.5316, "step": 1410 }, { "epoch": 2.48, "learning_rate": 0.00028895870736086175, "loss": 3.5905, "step": 1420 }, { "epoch": 2.5, "learning_rate": 0.00028882405745062837, "loss": 3.5515, "step": 1430 }, { "epoch": 2.52, "learning_rate": 0.00028868940754039495, "loss": 3.4082, "step": 1440 }, { "epoch": 2.53, "learning_rate": 0.00028855475763016157, "loss": 3.5074, "step": 1450 }, { "epoch": 2.55, "learning_rate": 0.00028842010771992814, "loss": 3.5773, "step": 1460 }, { "epoch": 2.57, "learning_rate": 0.00028828545780969477, "loss": 3.426, "step": 1470 }, { "epoch": 2.59, "learning_rate": 0.0002881508078994614, "loss": 3.3261, "step": 1480 }, { "epoch": 2.6, "learning_rate": 0.00028801615798922797, "loss": 3.3198, "step": 1490 }, { "epoch": 2.62, "learning_rate": 0.0002878815080789946, "loss": 3.3809, "step": 1500 }, { "epoch": 2.64, "learning_rate": 0.00028774685816876117, "loss": 3.3378, "step": 1510 }, { "epoch": 2.66, "learning_rate": 0.0002876122082585278, "loss": 3.2242, "step": 1520 }, { "epoch": 2.67, "learning_rate": 0.0002874775583482944, "loss": 3.2431, "step": 1530 }, { "epoch": 2.69, "learning_rate": 0.00028734290843806105, "loss": 3.2502, "step": 1540 }, { "epoch": 2.71, "learning_rate": 0.0002872082585278276, "loss": 3.2542, "step": 1550 }, { "epoch": 2.73, "learning_rate": 0.00028707360861759425, "loss": 3.1088, "step": 1560 }, { "epoch": 2.74, "learning_rate": 0.0002869389587073608, "loss": 3.0092, "step": 1570 }, { "epoch": 2.76, "learning_rate": 0.00028680430879712745, "loss": 3.0566, "step": 1580 }, { "epoch": 2.78, "learning_rate": 0.000286669658886894, "loss": 3.0401, "step": 1590 }, { "epoch": 2.8, "learning_rate": 0.00028653500897666065, "loss": 2.9808, "step": 1600 }, { "epoch": 2.81, "learning_rate": 0.0002864003590664273, "loss": 3.0996, "step": 1610 }, { "epoch": 2.83, "learning_rate": 0.00028626570915619385, "loss": 3.0149, "step": 1620 }, { "epoch": 2.85, "learning_rate": 0.0002861310592459605, "loss": 3.0153, "step": 1630 }, { "epoch": 2.87, "learning_rate": 0.00028599640933572705, "loss": 3.0267, "step": 1640 }, { "epoch": 2.88, "learning_rate": 0.0002858617594254937, "loss": 2.8632, "step": 1650 }, { "epoch": 2.9, "learning_rate": 0.0002857271095152603, "loss": 2.8897, "step": 1660 }, { "epoch": 2.92, "learning_rate": 0.00028559245960502693, "loss": 2.8773, "step": 1670 }, { "epoch": 2.94, "learning_rate": 0.0002854578096947935, "loss": 2.8656, "step": 1680 }, { "epoch": 2.95, "learning_rate": 0.00028532315978456013, "loss": 2.8248, "step": 1690 }, { "epoch": 2.97, "learning_rate": 0.0002851885098743267, "loss": 2.9358, "step": 1700 }, { "epoch": 2.99, "learning_rate": 0.0002850538599640933, "loss": 2.9389, "step": 1710 }, { "epoch": 3.01, "learning_rate": 0.00028491921005385995, "loss": 2.7758, "step": 1720 }, { "epoch": 3.02, "learning_rate": 0.0002847845601436266, "loss": 2.8451, "step": 1730 }, { "epoch": 3.04, "learning_rate": 0.00028464991023339315, "loss": 2.7879, "step": 1740 }, { "epoch": 3.06, "learning_rate": 0.0002845152603231597, "loss": 2.7708, "step": 1750 }, { "epoch": 3.08, "learning_rate": 0.00028438061041292635, "loss": 2.7697, "step": 1760 }, { "epoch": 3.09, "learning_rate": 0.000284245960502693, "loss": 2.6994, "step": 1770 }, { "epoch": 3.11, "learning_rate": 0.0002841113105924596, "loss": 2.646, "step": 1780 }, { "epoch": 3.13, "learning_rate": 0.0002839766606822262, "loss": 2.7175, "step": 1790 }, { "epoch": 3.15, "learning_rate": 0.0002838420107719928, "loss": 2.5818, "step": 1800 }, { "epoch": 3.15, "eval_cer1": 0.5706086897808987, "eval_cer2": 0.5588515176374077, "eval_cer3": 0.5401176086246324, "eval_cer4": 0.5407772304324029, "eval_cer5": 0.5651804670912951, "eval_loss": 2.5096516609191895, "eval_runtime": 1141.0448, "eval_samples_per_second": 7.677, "step": 1800 }, { "epoch": 3.16, "learning_rate": 0.0002837073608617594, "loss": 2.7269, "step": 1810 }, { "epoch": 3.18, "learning_rate": 0.000283572710951526, "loss": 2.8614, "step": 1820 }, { "epoch": 3.2, "learning_rate": 0.00028343806104129263, "loss": 2.6653, "step": 1830 }, { "epoch": 3.22, "learning_rate": 0.00028330341113105926, "loss": 2.689, "step": 1840 }, { "epoch": 3.23, "learning_rate": 0.00028316876122082583, "loss": 2.5852, "step": 1850 }, { "epoch": 3.25, "learning_rate": 0.00028303411131059246, "loss": 2.6783, "step": 1860 }, { "epoch": 3.27, "learning_rate": 0.00028289946140035903, "loss": 2.5618, "step": 1870 }, { "epoch": 3.29, "learning_rate": 0.00028276481149012566, "loss": 2.6193, "step": 1880 }, { "epoch": 3.3, "learning_rate": 0.00028263016157989223, "loss": 2.5681, "step": 1890 }, { "epoch": 3.32, "learning_rate": 0.00028249551166965886, "loss": 2.5623, "step": 1900 }, { "epoch": 3.32, "eval_cer1": 0.5584551500624557, "eval_cer2": 0.5466119770303528, "eval_cer3": 0.522999019928128, "eval_cer4": 0.524195885250652, "eval_cer5": 0.5435244161358811, "eval_loss": 2.379859447479248, "eval_runtime": 1137.4958, "eval_samples_per_second": 7.701, "step": 1900 }, { "epoch": 3.34, "learning_rate": 0.0002823608617594255, "loss": 2.5353, "step": 1910 }, { "epoch": 3.36, "learning_rate": 0.00028222621184919206, "loss": 2.5668, "step": 1920 }, { "epoch": 3.37, "learning_rate": 0.0002820915619389587, "loss": 2.4749, "step": 1930 }, { "epoch": 3.39, "learning_rate": 0.00028195691202872526, "loss": 2.4638, "step": 1940 }, { "epoch": 3.41, "learning_rate": 0.0002818222621184919, "loss": 2.53, "step": 1950 }, { "epoch": 3.43, "learning_rate": 0.0002816876122082585, "loss": 2.3977, "step": 1960 }, { "epoch": 3.44, "learning_rate": 0.00028155296229802514, "loss": 2.4476, "step": 1970 }, { "epoch": 3.46, "learning_rate": 0.0002814183123877917, "loss": 2.3519, "step": 1980 }, { "epoch": 3.48, "learning_rate": 0.00028128366247755834, "loss": 2.3922, "step": 1990 }, { "epoch": 3.5, "learning_rate": 0.0002811490125673249, "loss": 2.3761, "step": 2000 }, { "epoch": 3.51, "learning_rate": 0.00028101436265709154, "loss": 2.4301, "step": 2010 }, { "epoch": 3.53, "learning_rate": 0.00028087971274685816, "loss": 2.5032, "step": 2020 }, { "epoch": 3.55, "learning_rate": 0.00028074506283662473, "loss": 2.4313, "step": 2030 }, { "epoch": 3.57, "learning_rate": 0.00028061041292639136, "loss": 2.3814, "step": 2040 }, { "epoch": 3.58, "learning_rate": 0.00028047576301615793, "loss": 2.4016, "step": 2050 }, { "epoch": 3.6, "learning_rate": 0.00028034111310592456, "loss": 2.2827, "step": 2060 }, { "epoch": 3.62, "learning_rate": 0.0002802064631956912, "loss": 2.3379, "step": 2070 }, { "epoch": 3.64, "learning_rate": 0.0002800718132854578, "loss": 2.3315, "step": 2080 }, { "epoch": 3.65, "learning_rate": 0.0002799371633752244, "loss": 2.2943, "step": 2090 }, { "epoch": 3.67, "learning_rate": 0.000279802513464991, "loss": 2.4029, "step": 2100 }, { "epoch": 3.69, "learning_rate": 0.0002796678635547576, "loss": 2.3145, "step": 2110 }, { "epoch": 3.71, "learning_rate": 0.0002795332136445242, "loss": 2.2538, "step": 2120 }, { "epoch": 3.72, "learning_rate": 0.00027939856373429084, "loss": 2.2717, "step": 2130 }, { "epoch": 3.74, "learning_rate": 0.0002792639138240574, "loss": 2.1891, "step": 2140 }, { "epoch": 3.76, "learning_rate": 0.00027912926391382404, "loss": 2.2323, "step": 2150 }, { "epoch": 3.78, "learning_rate": 0.00027899461400359067, "loss": 2.2378, "step": 2160 }, { "epoch": 3.79, "learning_rate": 0.00027885996409335724, "loss": 2.2133, "step": 2170 }, { "epoch": 3.81, "learning_rate": 0.0002787253141831238, "loss": 2.1628, "step": 2180 }, { "epoch": 3.83, "learning_rate": 0.00027859066427289044, "loss": 2.1824, "step": 2190 }, { "epoch": 3.85, "learning_rate": 0.00027845601436265706, "loss": 2.1867, "step": 2200 }, { "epoch": 1.93, "learning_rate": 0.00028929521276595743, "loss": 2.1458, "step": 2210 }, { "epoch": 1.94, "learning_rate": 0.00028922872340425527, "loss": 2.2512, "step": 2220 }, { "epoch": 1.95, "learning_rate": 0.00028916223404255317, "loss": 2.2017, "step": 2230 }, { "epoch": 1.96, "learning_rate": 0.000289095744680851, "loss": 2.2122, "step": 2240 }, { "epoch": 1.97, "learning_rate": 0.0002890292553191489, "loss": 2.2943, "step": 2250 }, { "epoch": 1.98, "learning_rate": 0.00028896276595744675, "loss": 2.1862, "step": 2260 }, { "epoch": 1.99, "learning_rate": 0.00028889627659574465, "loss": 2.1958, "step": 2270 }, { "epoch": 1.99, "learning_rate": 0.00028882978723404254, "loss": 2.1499, "step": 2280 }, { "epoch": 2.0, "learning_rate": 0.0002887632978723404, "loss": 2.4003, "step": 2290 }, { "epoch": 2.01, "learning_rate": 0.0002886968085106383, "loss": 2.205, "step": 2300 }, { "epoch": 2.02, "learning_rate": 0.0002886303191489361, "loss": 2.2114, "step": 2310 }, { "epoch": 2.03, "learning_rate": 0.000288563829787234, "loss": 2.2381, "step": 2320 }, { "epoch": 2.04, "learning_rate": 0.00028849734042553187, "loss": 2.0985, "step": 2330 }, { "epoch": 2.05, "learning_rate": 0.00028843085106382976, "loss": 2.3753, "step": 2340 }, { "epoch": 2.06, "learning_rate": 0.00028836436170212766, "loss": 2.1873, "step": 2350 }, { "epoch": 2.06, "learning_rate": 0.0002882978723404255, "loss": 2.2122, "step": 2360 }, { "epoch": 2.07, "learning_rate": 0.0002882313829787234, "loss": 2.0525, "step": 2370 }, { "epoch": 2.08, "learning_rate": 0.00028816489361702124, "loss": 2.1569, "step": 2380 }, { "epoch": 2.09, "learning_rate": 0.00028809840425531914, "loss": 2.2276, "step": 2390 }, { "epoch": 2.1, "learning_rate": 0.000288031914893617, "loss": 2.0076, "step": 2400 }, { "epoch": 2.1, "eval_cer1": 0.48924749333243306, "eval_cer2": 0.47238720262510253, "eval_cer3": 0.4526951976478275, "eval_cer4": 0.45085160500982, "eval_cer5": 0.46989384288747343, "eval_loss": 1.9238340854644775, "eval_runtime": 1120.0867, "eval_samples_per_second": 7.821, "step": 2400 }, { "epoch": 2.11, "learning_rate": 0.0002879654255319149, "loss": 1.9779, "step": 2410 }, { "epoch": 2.12, "learning_rate": 0.0002878989361702127, "loss": 2.1389, "step": 2420 }, { "epoch": 2.13, "learning_rate": 0.0002878324468085106, "loss": 2.2141, "step": 2430 }, { "epoch": 2.13, "learning_rate": 0.0002877659574468085, "loss": 2.251, "step": 2440 }, { "epoch": 2.14, "learning_rate": 0.00028769946808510636, "loss": 2.2231, "step": 2450 }, { "epoch": 2.15, "learning_rate": 0.00028763297872340426, "loss": 2.155, "step": 2460 }, { "epoch": 2.16, "learning_rate": 0.0002875664893617021, "loss": 2.1766, "step": 2470 }, { "epoch": 2.17, "learning_rate": 0.0002875, "loss": 2.079, "step": 2480 }, { "epoch": 2.18, "learning_rate": 0.00028743351063829784, "loss": 2.1769, "step": 2490 }, { "epoch": 2.19, "learning_rate": 0.00028736702127659573, "loss": 2.131, "step": 2500 }, { "epoch": 2.2, "learning_rate": 0.00028730053191489363, "loss": 2.1497, "step": 2510 }, { "epoch": 2.2, "learning_rate": 0.0002872340425531915, "loss": 2.1463, "step": 2520 }, { "epoch": 2.21, "learning_rate": 0.00028716755319148937, "loss": 2.1748, "step": 2530 }, { "epoch": 2.22, "learning_rate": 0.0002871010638297872, "loss": 2.2521, "step": 2540 }, { "epoch": 2.23, "learning_rate": 0.00028703457446808506, "loss": 2.0849, "step": 2550 }, { "epoch": 2.24, "learning_rate": 0.00028696808510638295, "loss": 2.0427, "step": 2560 }, { "epoch": 2.25, "learning_rate": 0.0002869015957446808, "loss": 2.0855, "step": 2570 }, { "epoch": 2.26, "learning_rate": 0.0002868351063829787, "loss": 2.0552, "step": 2580 }, { "epoch": 2.27, "learning_rate": 0.00028676861702127654, "loss": 2.1035, "step": 2590 }, { "epoch": 2.27, "learning_rate": 0.00028670212765957443, "loss": 2.1035, "step": 2600 }, { "epoch": 2.28, "learning_rate": 0.00028663563829787233, "loss": 2.1345, "step": 2610 }, { "epoch": 2.29, "learning_rate": 0.0002865691489361702, "loss": 2.1135, "step": 2620 }, { "epoch": 2.3, "learning_rate": 0.00028650265957446807, "loss": 2.1364, "step": 2630 }, { "epoch": 2.31, "learning_rate": 0.0002864361702127659, "loss": 2.3248, "step": 2640 }, { "epoch": 2.32, "learning_rate": 0.0002863696808510638, "loss": 2.3336, "step": 2650 }, { "epoch": 2.33, "learning_rate": 0.00028630319148936165, "loss": 2.1158, "step": 2660 }, { "epoch": 2.34, "learning_rate": 0.00028623670212765955, "loss": 2.1155, "step": 2670 }, { "epoch": 2.34, "learning_rate": 0.0002861702127659574, "loss": 2.1989, "step": 2680 }, { "epoch": 2.35, "learning_rate": 0.0002861037234042553, "loss": 2.2268, "step": 2690 }, { "epoch": 2.36, "learning_rate": 0.0002860372340425532, "loss": 2.0541, "step": 2700 }, { "epoch": 2.37, "learning_rate": 0.00028597074468085103, "loss": 1.9792, "step": 2710 }, { "epoch": 2.38, "learning_rate": 0.0002859042553191489, "loss": 2.2246, "step": 2720 }, { "epoch": 2.39, "learning_rate": 0.00028583776595744677, "loss": 1.9866, "step": 2730 }, { "epoch": 2.4, "learning_rate": 0.00028577127659574467, "loss": 2.1589, "step": 2740 }, { "epoch": 2.41, "learning_rate": 0.0002857047872340425, "loss": 2.0232, "step": 2750 }, { "epoch": 2.41, "learning_rate": 0.0002856382978723404, "loss": 2.0295, "step": 2760 }, { "epoch": 2.42, "learning_rate": 0.0002855718085106383, "loss": 2.0344, "step": 2770 }, { "epoch": 2.43, "learning_rate": 0.00028550531914893615, "loss": 2.0738, "step": 2780 }, { "epoch": 2.44, "learning_rate": 0.00028543882978723404, "loss": 2.2399, "step": 2790 }, { "epoch": 2.45, "learning_rate": 0.0002853723404255319, "loss": 2.1269, "step": 2800 }, { "epoch": 2.46, "learning_rate": 0.0002853058510638298, "loss": 2.1242, "step": 2810 }, { "epoch": 2.47, "learning_rate": 0.0002852393617021276, "loss": 2.1683, "step": 2820 }, { "epoch": 2.48, "learning_rate": 0.0002851728723404255, "loss": 1.9675, "step": 2830 }, { "epoch": 2.48, "learning_rate": 0.00028510638297872336, "loss": 2.0978, "step": 2840 }, { "epoch": 2.49, "learning_rate": 0.00028503989361702126, "loss": 2.1067, "step": 2850 }, { "epoch": 2.5, "learning_rate": 0.00028497340425531916, "loss": 1.9776, "step": 2860 }, { "epoch": 2.51, "learning_rate": 0.000284906914893617, "loss": 1.9753, "step": 2870 }, { "epoch": 2.52, "learning_rate": 0.0002848404255319149, "loss": 2.0909, "step": 2880 }, { "epoch": 2.53, "learning_rate": 0.00028477393617021274, "loss": 1.9942, "step": 2890 }, { "epoch": 2.54, "learning_rate": 0.0002847074468085106, "loss": 1.9181, "step": 2900 }, { "epoch": 2.55, "learning_rate": 0.0002846409574468085, "loss": 2.1184, "step": 2910 }, { "epoch": 2.55, "learning_rate": 0.0002845744680851063, "loss": 2.0608, "step": 2920 }, { "epoch": 2.56, "learning_rate": 0.0002845079787234042, "loss": 2.1055, "step": 2930 }, { "epoch": 2.57, "learning_rate": 0.0002844414893617021, "loss": 2.1383, "step": 2940 }, { "epoch": 2.58, "learning_rate": 0.00028437499999999996, "loss": 1.97, "step": 2950 }, { "epoch": 2.59, "learning_rate": 0.00028430851063829786, "loss": 2.0785, "step": 2960 }, { "epoch": 2.6, "learning_rate": 0.0002842420212765957, "loss": 2.1369, "step": 2970 }, { "epoch": 2.61, "learning_rate": 0.0002841755319148936, "loss": 2.0299, "step": 2980 }, { "epoch": 2.62, "learning_rate": 0.00028410904255319144, "loss": 2.0835, "step": 2990 }, { "epoch": 2.62, "learning_rate": 0.00028404255319148934, "loss": 1.9336, "step": 3000 }, { "epoch": 2.62, "eval_cer1": 0.47790418959521963, "eval_cer2": 0.46027891714520097, "eval_cer3": 0.4367200261352499, "eval_cer4": 0.43565472165877844, "eval_cer5": 0.4569851380042463, "eval_loss": 1.8061408996582031, "eval_runtime": 1152.9636, "eval_samples_per_second": 7.598, "step": 3000 }, { "epoch": 2.63, "learning_rate": 0.0002839760638297872, "loss": 1.9459, "step": 3010 }, { "epoch": 2.64, "learning_rate": 0.0002839095744680851, "loss": 1.8683, "step": 3020 }, { "epoch": 2.65, "learning_rate": 0.000283843085106383, "loss": 1.8963, "step": 3030 }, { "epoch": 2.66, "learning_rate": 0.0002837765957446808, "loss": 2.0346, "step": 3040 }, { "epoch": 2.67, "learning_rate": 0.0002837101063829787, "loss": 2.0598, "step": 3050 }, { "epoch": 2.68, "learning_rate": 0.00028364361702127656, "loss": 2.1834, "step": 3060 }, { "epoch": 2.69, "learning_rate": 0.00028357712765957445, "loss": 2.0357, "step": 3070 }, { "epoch": 2.69, "learning_rate": 0.0002835106382978723, "loss": 2.0925, "step": 3080 }, { "epoch": 2.7, "learning_rate": 0.0002834441489361702, "loss": 2.2516, "step": 3090 }, { "epoch": 2.71, "learning_rate": 0.0002833776595744681, "loss": 2.2491, "step": 3100 }, { "epoch": 2.72, "learning_rate": 0.00028331117021276593, "loss": 2.2018, "step": 3110 }, { "epoch": 2.73, "learning_rate": 0.00028324468085106383, "loss": 2.1119, "step": 3120 }, { "epoch": 2.74, "learning_rate": 0.00028317819148936167, "loss": 2.1143, "step": 3130 }, { "epoch": 2.75, "learning_rate": 0.00028311170212765957, "loss": 2.3422, "step": 3140 }, { "epoch": 2.76, "learning_rate": 0.0002830452127659574, "loss": 2.1345, "step": 3150 }, { "epoch": 2.76, "learning_rate": 0.0002829787234042553, "loss": 2.2023, "step": 3160 }, { "epoch": 2.77, "learning_rate": 0.00028291223404255315, "loss": 2.0969, "step": 3170 }, { "epoch": 2.78, "learning_rate": 0.00028284574468085105, "loss": 2.1492, "step": 3180 }, { "epoch": 2.79, "learning_rate": 0.00028277925531914894, "loss": 2.1605, "step": 3190 }, { "epoch": 2.8, "learning_rate": 0.0002827127659574468, "loss": 2.0944, "step": 3200 }, { "epoch": 2.81, "learning_rate": 0.0002826462765957447, "loss": 1.9815, "step": 3210 }, { "epoch": 2.82, "learning_rate": 0.00028257978723404253, "loss": 2.0554, "step": 3220 }, { "epoch": 2.83, "learning_rate": 0.0002825132978723404, "loss": 2.007, "step": 3230 }, { "epoch": 2.83, "learning_rate": 0.00028244680851063827, "loss": 2.0277, "step": 3240 }, { "epoch": 2.84, "learning_rate": 0.0002823803191489361, "loss": 1.9326, "step": 3250 }, { "epoch": 2.85, "learning_rate": 0.000282313829787234, "loss": 1.8932, "step": 3260 }, { "epoch": 2.86, "learning_rate": 0.00028224734042553185, "loss": 2.0032, "step": 3270 }, { "epoch": 2.87, "learning_rate": 0.00028218085106382975, "loss": 2.1045, "step": 3280 }, { "epoch": 2.88, "learning_rate": 0.00028211436170212764, "loss": 1.976, "step": 3290 }, { "epoch": 2.89, "learning_rate": 0.0002820478723404255, "loss": 1.8952, "step": 3300 }, { "epoch": 2.9, "learning_rate": 0.0002819813829787234, "loss": 1.988, "step": 3310 }, { "epoch": 2.9, "learning_rate": 0.0002819148936170212, "loss": 2.1143, "step": 3320 }, { "epoch": 2.91, "learning_rate": 0.0002818484042553191, "loss": 1.9619, "step": 3330 }, { "epoch": 2.92, "learning_rate": 0.00028178191489361697, "loss": 2.0878, "step": 3340 }, { "epoch": 2.93, "learning_rate": 0.00028171542553191486, "loss": 1.9068, "step": 3350 }, { "epoch": 2.94, "learning_rate": 0.00028164893617021276, "loss": 2.0037, "step": 3360 }, { "epoch": 2.95, "learning_rate": 0.0002815824468085106, "loss": 1.9381, "step": 3370 }, { "epoch": 2.96, "learning_rate": 0.0002815159574468085, "loss": 1.9552, "step": 3380 }, { "epoch": 2.97, "learning_rate": 0.00028144946808510634, "loss": 1.9375, "step": 3390 }, { "epoch": 2.97, "learning_rate": 0.00028138297872340424, "loss": 2.0038, "step": 3400 }, { "epoch": 2.98, "learning_rate": 0.0002813164893617021, "loss": 1.9518, "step": 3410 }, { "epoch": 2.99, "learning_rate": 0.00028125, "loss": 2.2452, "step": 3420 }, { "epoch": 3.0, "learning_rate": 0.0002811835106382979, "loss": 2.4543, "step": 3430 }, { "epoch": 3.01, "learning_rate": 0.0002811170212765957, "loss": 2.0192, "step": 3440 }, { "epoch": 3.02, "learning_rate": 0.0002810505319148936, "loss": 2.1015, "step": 3450 }, { "epoch": 3.03, "learning_rate": 0.00028098404255319146, "loss": 1.971, "step": 3460 }, { "epoch": 3.04, "learning_rate": 0.00028091755319148936, "loss": 1.9138, "step": 3470 }, { "epoch": 3.04, "learning_rate": 0.0002808510638297872, "loss": 1.938, "step": 3480 }, { "epoch": 3.05, "learning_rate": 0.0002807845744680851, "loss": 1.9073, "step": 3490 }, { "epoch": 3.06, "learning_rate": 0.00028071808510638294, "loss": 1.8454, "step": 3500 }, { "epoch": 3.07, "learning_rate": 0.00028065159574468083, "loss": 1.9872, "step": 3510 }, { "epoch": 3.08, "learning_rate": 0.00028058510638297873, "loss": 1.8779, "step": 3520 }, { "epoch": 3.09, "learning_rate": 0.0002805186170212766, "loss": 1.9469, "step": 3530 }, { "epoch": 3.1, "learning_rate": 0.00028045212765957447, "loss": 2.0581, "step": 3540 }, { "epoch": 3.11, "learning_rate": 0.0002803856382978723, "loss": 1.8872, "step": 3550 }, { "epoch": 3.11, "learning_rate": 0.0002803191489361702, "loss": 2.0156, "step": 3560 }, { "epoch": 3.12, "learning_rate": 0.00028025265957446805, "loss": 2.1001, "step": 3570 }, { "epoch": 3.13, "learning_rate": 0.00028018617021276595, "loss": 2.1155, "step": 3580 }, { "epoch": 3.14, "learning_rate": 0.00028011968085106385, "loss": 2.121, "step": 3590 }, { "epoch": 3.15, "learning_rate": 0.00028005319148936164, "loss": 2.0027, "step": 3600 }, { "epoch": 3.15, "eval_cer1": 0.47597987913979944, "eval_cer2": 0.45689909762100084, "eval_cer3": 0.4369160405096374, "eval_cer4": 0.43597668952638524, "eval_cer5": 0.4563906581740977, "eval_loss": 1.800094723701477, "eval_runtime": 1141.7387, "eval_samples_per_second": 7.673, "step": 3600 }, { "epoch": 3.16, "learning_rate": 0.00027998670212765953, "loss": 1.9812, "step": 3610 }, { "epoch": 3.17, "learning_rate": 0.00027992021276595743, "loss": 2.0124, "step": 3620 }, { "epoch": 3.18, "learning_rate": 0.0002798537234042553, "loss": 1.9499, "step": 3630 }, { "epoch": 3.18, "learning_rate": 0.00027978723404255317, "loss": 1.9615, "step": 3640 }, { "epoch": 3.19, "learning_rate": 0.000279720744680851, "loss": 1.9805, "step": 3650 }, { "epoch": 3.2, "learning_rate": 0.0002796542553191489, "loss": 1.9327, "step": 3660 }, { "epoch": 3.21, "learning_rate": 0.00027958776595744675, "loss": 2.004, "step": 3670 }, { "epoch": 3.22, "learning_rate": 0.00027952127659574465, "loss": 2.0279, "step": 3680 }, { "epoch": 3.23, "learning_rate": 0.00027945478723404255, "loss": 1.9121, "step": 3690 }, { "epoch": 3.24, "learning_rate": 0.0002793882978723404, "loss": 1.9119, "step": 3700 }, { "epoch": 3.25, "learning_rate": 0.0002793218085106383, "loss": 2.0259, "step": 3710 }, { "epoch": 3.25, "learning_rate": 0.00027925531914893613, "loss": 1.9752, "step": 3720 }, { "epoch": 3.26, "learning_rate": 0.000279188829787234, "loss": 1.9925, "step": 3730 }, { "epoch": 3.27, "learning_rate": 0.00027912234042553187, "loss": 1.9936, "step": 3740 }, { "epoch": 3.28, "learning_rate": 0.00027905585106382977, "loss": 1.8995, "step": 3750 }, { "epoch": 3.29, "learning_rate": 0.0002789893617021276, "loss": 1.9581, "step": 3760 }, { "epoch": 3.3, "learning_rate": 0.0002789228723404255, "loss": 1.8888, "step": 3770 }, { "epoch": 3.31, "learning_rate": 0.0002788563829787234, "loss": 1.9329, "step": 3780 }, { "epoch": 3.32, "learning_rate": 0.00027878989361702124, "loss": 2.0032, "step": 3790 }, { "epoch": 3.32, "learning_rate": 0.00027872340425531914, "loss": 1.9863, "step": 3800 }, { "epoch": 3.33, "learning_rate": 0.000278656914893617, "loss": 1.9392, "step": 3810 }, { "epoch": 3.34, "learning_rate": 0.0002785904255319149, "loss": 1.8759, "step": 3820 }, { "epoch": 3.35, "learning_rate": 0.0002785239361702127, "loss": 1.9832, "step": 3830 }, { "epoch": 3.36, "learning_rate": 0.0002784574468085106, "loss": 1.9111, "step": 3840 }, { "epoch": 3.37, "learning_rate": 0.0002783909574468085, "loss": 1.9362, "step": 3850 }, { "epoch": 3.38, "learning_rate": 0.00027832446808510636, "loss": 2.1686, "step": 3860 }, { "epoch": 3.39, "learning_rate": 0.00027825797872340426, "loss": 1.8924, "step": 3870 }, { "epoch": 3.39, "learning_rate": 0.0002781914893617021, "loss": 2.0049, "step": 3880 }, { "epoch": 3.4, "learning_rate": 0.000278125, "loss": 1.871, "step": 3890 }, { "epoch": 3.41, "learning_rate": 0.00027805851063829784, "loss": 1.7214, "step": 3900 }, { "epoch": 3.42, "learning_rate": 0.00027799202127659574, "loss": 1.8852, "step": 3910 }, { "epoch": 3.43, "learning_rate": 0.0002779255319148936, "loss": 1.8057, "step": 3920 }, { "epoch": 3.44, "learning_rate": 0.0002778590425531915, "loss": 2.0098, "step": 3930 }, { "epoch": 3.45, "learning_rate": 0.0002777925531914894, "loss": 1.8596, "step": 3940 }, { "epoch": 3.46, "learning_rate": 0.0002777260638297872, "loss": 1.881, "step": 3950 }, { "epoch": 3.46, "learning_rate": 0.00027765957446808506, "loss": 2.0048, "step": 3960 }, { "epoch": 3.47, "learning_rate": 0.00027759308510638296, "loss": 1.9547, "step": 3970 }, { "epoch": 3.48, "learning_rate": 0.0002775265957446808, "loss": 2.0153, "step": 3980 }, { "epoch": 3.49, "learning_rate": 0.0002774601063829787, "loss": 1.8253, "step": 3990 }, { "epoch": 3.5, "learning_rate": 0.00027739361702127654, "loss": 1.9285, "step": 4000 }, { "epoch": 3.51, "learning_rate": 0.00027732712765957444, "loss": 1.9543, "step": 4010 }, { "epoch": 3.52, "learning_rate": 0.00027726063829787233, "loss": 1.8083, "step": 4020 }, { "epoch": 3.53, "learning_rate": 0.0002771941489361702, "loss": 1.8892, "step": 4030 }, { "epoch": 3.53, "learning_rate": 0.00027712765957446807, "loss": 1.8685, "step": 4040 }, { "epoch": 3.54, "learning_rate": 0.0002770611702127659, "loss": 1.7633, "step": 4050 }, { "epoch": 3.55, "learning_rate": 0.0002769946808510638, "loss": 1.801, "step": 4060 }, { "epoch": 3.56, "learning_rate": 0.00027692819148936166, "loss": 1.8555, "step": 4070 }, { "epoch": 3.57, "learning_rate": 0.00027686170212765955, "loss": 1.8881, "step": 4080 }, { "epoch": 3.58, "learning_rate": 0.0002767952127659574, "loss": 1.8753, "step": 4090 }, { "epoch": 3.59, "learning_rate": 0.0002767287234042553, "loss": 1.8913, "step": 4100 }, { "epoch": 3.6, "learning_rate": 0.0002766622340425532, "loss": 2.0024, "step": 4110 }, { "epoch": 3.6, "learning_rate": 0.00027659574468085103, "loss": 2.0692, "step": 4120 }, { "epoch": 3.61, "learning_rate": 0.00027652925531914893, "loss": 1.9269, "step": 4130 }, { "epoch": 3.62, "learning_rate": 0.00027646276595744677, "loss": 1.9242, "step": 4140 }, { "epoch": 3.63, "learning_rate": 0.00027639627659574467, "loss": 1.8783, "step": 4150 }, { "epoch": 3.64, "learning_rate": 0.0002763297872340425, "loss": 1.7259, "step": 4160 }, { "epoch": 3.65, "learning_rate": 0.0002762632978723404, "loss": 1.7952, "step": 4170 }, { "epoch": 3.66, "learning_rate": 0.0002761968085106383, "loss": 1.7268, "step": 4180 }, { "epoch": 3.67, "learning_rate": 0.00027613031914893615, "loss": 1.804, "step": 4190 }, { "epoch": 3.67, "learning_rate": 0.00027606382978723404, "loss": 1.7527, "step": 4200 }, { "epoch": 3.67, "eval_cer1": 0.45643293609263696, "eval_cer2": 0.4330434782608696, "eval_cer3": 0.41613851682456715, "eval_cer4": 0.41276280627193407, "eval_cer5": 0.4343099787685775, "eval_loss": 1.6673153638839722, "eval_runtime": 1162.9114, "eval_samples_per_second": 7.533, "step": 4200 }, { "epoch": 3.68, "learning_rate": 0.0002759973404255319, "loss": 1.8746, "step": 4210 }, { "epoch": 3.69, "learning_rate": 0.0002759308510638298, "loss": 1.8192, "step": 4220 }, { "epoch": 3.7, "learning_rate": 0.0002758643617021276, "loss": 1.9139, "step": 4230 }, { "epoch": 3.71, "learning_rate": 0.0002757978723404255, "loss": 1.8454, "step": 4240 }, { "epoch": 3.72, "learning_rate": 0.00027573138297872337, "loss": 1.8008, "step": 4250 }, { "epoch": 3.73, "learning_rate": 0.00027566489361702126, "loss": 1.8388, "step": 4260 }, { "epoch": 3.74, "learning_rate": 0.00027559840425531916, "loss": 1.6761, "step": 4270 }, { "epoch": 3.74, "learning_rate": 0.000275531914893617, "loss": 1.7665, "step": 4280 }, { "epoch": 3.75, "learning_rate": 0.0002754654255319149, "loss": 1.7748, "step": 4290 }, { "epoch": 3.76, "learning_rate": 0.00027539893617021274, "loss": 1.7312, "step": 4300 }, { "epoch": 3.77, "learning_rate": 0.0002753324468085106, "loss": 1.849, "step": 4310 }, { "epoch": 3.78, "learning_rate": 0.0002752659574468085, "loss": 1.8165, "step": 4320 }, { "epoch": 3.79, "learning_rate": 0.0002751994680851063, "loss": 1.8257, "step": 4330 }, { "epoch": 3.8, "learning_rate": 0.0002751329787234042, "loss": 1.7717, "step": 4340 }, { "epoch": 3.81, "learning_rate": 0.00027506648936170207, "loss": 1.8083, "step": 4350 }, { "epoch": 3.81, "learning_rate": 0.00027499999999999996, "loss": 1.8256, "step": 4360 }, { "epoch": 3.82, "learning_rate": 0.00027493351063829786, "loss": 1.716, "step": 4370 }, { "epoch": 3.83, "learning_rate": 0.0002748670212765957, "loss": 1.8734, "step": 4380 }, { "epoch": 3.84, "learning_rate": 0.0002748005319148936, "loss": 1.7568, "step": 4390 }, { "epoch": 3.85, "learning_rate": 0.00027473404255319144, "loss": 1.8443, "step": 4400 }, { "epoch": 3.86, "learning_rate": 0.00027466755319148934, "loss": 1.8433, "step": 4410 }, { "epoch": 3.87, "learning_rate": 0.0002746010638297872, "loss": 1.7142, "step": 4420 }, { "epoch": 3.88, "learning_rate": 0.0002745345744680851, "loss": 1.8259, "step": 4430 }, { "epoch": 3.88, "learning_rate": 0.000274468085106383, "loss": 1.7237, "step": 4440 }, { "epoch": 3.89, "learning_rate": 0.0002744015957446808, "loss": 1.7902, "step": 4450 }, { "epoch": 3.9, "learning_rate": 0.0002743351063829787, "loss": 1.7954, "step": 4460 }, { "epoch": 3.91, "learning_rate": 0.00027426861702127656, "loss": 1.7452, "step": 4470 }, { "epoch": 3.92, "learning_rate": 0.00027420212765957445, "loss": 1.7052, "step": 4480 }, { "epoch": 3.93, "learning_rate": 0.0002741356382978723, "loss": 1.8716, "step": 4490 }, { "epoch": 3.94, "learning_rate": 0.0002740691489361702, "loss": 1.9407, "step": 4500 }, { "epoch": 3.95, "learning_rate": 0.00027400265957446804, "loss": 1.7709, "step": 4510 }, { "epoch": 3.95, "learning_rate": 0.00027393617021276593, "loss": 1.8658, "step": 4520 }, { "epoch": 3.96, "learning_rate": 0.00027386968085106383, "loss": 1.9818, "step": 4530 }, { "epoch": 3.97, "learning_rate": 0.0002738031914893617, "loss": 1.8163, "step": 4540 }, { "epoch": 3.98, "learning_rate": 0.00027373670212765957, "loss": 1.7863, "step": 4550 }, { "epoch": 3.99, "learning_rate": 0.0002736702127659574, "loss": 1.8471, "step": 4560 }, { "epoch": 4.0, "learning_rate": 0.0002736037234042553, "loss": 1.8029, "step": 4570 }, { "epoch": 4.01, "learning_rate": 0.00027353723404255315, "loss": 1.8216, "step": 4580 }, { "epoch": 4.02, "learning_rate": 0.00027347074468085105, "loss": 1.6946, "step": 4590 }, { "epoch": 4.02, "learning_rate": 0.00027340425531914895, "loss": 1.8107, "step": 4600 }, { "epoch": 4.03, "learning_rate": 0.0002733377659574468, "loss": 1.5857, "step": 4610 }, { "epoch": 4.04, "learning_rate": 0.0002732712765957447, "loss": 1.5575, "step": 4620 }, { "epoch": 4.05, "learning_rate": 0.00027320478723404253, "loss": 1.6425, "step": 4630 }, { "epoch": 4.06, "learning_rate": 0.0002731382978723404, "loss": 1.6509, "step": 4640 }, { "epoch": 4.07, "learning_rate": 0.00027307180851063827, "loss": 1.6268, "step": 4650 }, { "epoch": 4.08, "learning_rate": 0.0002730053191489361, "loss": 1.6513, "step": 4660 }, { "epoch": 4.09, "learning_rate": 0.000272938829787234, "loss": 1.7515, "step": 4670 }, { "epoch": 4.09, "learning_rate": 0.00027287234042553185, "loss": 1.7507, "step": 4680 }, { "epoch": 4.1, "learning_rate": 0.00027280585106382975, "loss": 1.7227, "step": 4690 }, { "epoch": 4.11, "learning_rate": 0.00027273936170212765, "loss": 1.78, "step": 4700 }, { "epoch": 4.12, "learning_rate": 0.0002726728723404255, "loss": 1.7315, "step": 4710 }, { "epoch": 4.13, "learning_rate": 0.0002726063829787234, "loss": 1.6623, "step": 4720 }, { "epoch": 4.14, "learning_rate": 0.00027253989361702123, "loss": 1.8741, "step": 4730 }, { "epoch": 4.15, "learning_rate": 0.0002724734042553191, "loss": 1.6929, "step": 4740 }, { "epoch": 4.16, "learning_rate": 0.00027240691489361697, "loss": 1.7386, "step": 4750 }, { "epoch": 4.16, "learning_rate": 0.00027234042553191487, "loss": 1.7091, "step": 4760 }, { "epoch": 4.17, "learning_rate": 0.00027227393617021276, "loss": 1.7805, "step": 4770 }, { "epoch": 4.18, "learning_rate": 0.0002722074468085106, "loss": 1.696, "step": 4780 }, { "epoch": 4.19, "learning_rate": 0.0002721409574468085, "loss": 1.6978, "step": 4790 }, { "epoch": 4.2, "learning_rate": 0.00027207446808510634, "loss": 1.6364, "step": 4800 }, { "epoch": 4.2, "eval_cer1": 0.45207791769352823, "eval_cer2": 0.4318949958982773, "eval_cer3": 0.41022541653054556, "eval_cer4": 0.4073859428829003, "eval_cer5": 0.4332059447983015, "eval_loss": 1.6478698253631592, "eval_runtime": 1192.9934, "eval_samples_per_second": 7.343, "step": 4800 }, { "epoch": 4.21, "learning_rate": 0.00027200797872340424, "loss": 1.6228, "step": 4810 }, { "epoch": 4.22, "learning_rate": 0.0002719414893617021, "loss": 1.8116, "step": 4820 }, { "epoch": 4.23, "learning_rate": 0.000271875, "loss": 1.6368, "step": 4830 }, { "epoch": 4.23, "learning_rate": 0.0002718085106382978, "loss": 1.7359, "step": 4840 }, { "epoch": 4.24, "learning_rate": 0.0002717420212765957, "loss": 1.7451, "step": 4850 }, { "epoch": 4.25, "learning_rate": 0.0002716755319148936, "loss": 1.6824, "step": 4860 }, { "epoch": 4.26, "learning_rate": 0.00027160904255319146, "loss": 1.6999, "step": 4870 }, { "epoch": 4.27, "learning_rate": 0.00027154255319148936, "loss": 1.7451, "step": 4880 }, { "epoch": 4.28, "learning_rate": 0.0002714760638297872, "loss": 1.7161, "step": 4890 }, { "epoch": 4.29, "learning_rate": 0.0002714095744680851, "loss": 1.952, "step": 4900 }, { "epoch": 4.3, "learning_rate": 0.00027134308510638294, "loss": 1.7919, "step": 4910 }, { "epoch": 4.3, "learning_rate": 0.00027127659574468084, "loss": 1.7554, "step": 4920 }, { "epoch": 4.31, "learning_rate": 0.00027121010638297873, "loss": 1.9093, "step": 4930 }, { "epoch": 4.32, "learning_rate": 0.0002711436170212766, "loss": 1.7237, "step": 4940 }, { "epoch": 4.33, "learning_rate": 0.0002710771276595745, "loss": 1.7557, "step": 4950 }, { "epoch": 4.34, "learning_rate": 0.0002710106382978723, "loss": 1.6695, "step": 4960 }, { "epoch": 4.35, "learning_rate": 0.0002709441489361702, "loss": 1.6958, "step": 4970 }, { "epoch": 4.36, "learning_rate": 0.00027087765957446806, "loss": 1.8567, "step": 4980 }, { "epoch": 4.37, "learning_rate": 0.00027081117021276595, "loss": 1.5935, "step": 4990 }, { "epoch": 4.37, "learning_rate": 0.0002707446808510638, "loss": 1.709, "step": 5000 }, { "epoch": 4.38, "learning_rate": 0.00027067819148936164, "loss": 1.6514, "step": 5010 }, { "epoch": 4.39, "learning_rate": 0.00027061170212765954, "loss": 1.7036, "step": 5020 }, { "epoch": 4.4, "learning_rate": 0.00027054521276595743, "loss": 1.7294, "step": 5030 }, { "epoch": 4.41, "learning_rate": 0.0002704787234042553, "loss": 1.7055, "step": 5040 }, { "epoch": 4.42, "learning_rate": 0.00027041223404255317, "loss": 1.8418, "step": 5050 }, { "epoch": 4.43, "learning_rate": 0.000270345744680851, "loss": 1.6954, "step": 5060 }, { "epoch": 4.44, "learning_rate": 0.0002702792553191489, "loss": 1.7636, "step": 5070 }, { "epoch": 4.44, "learning_rate": 0.00027021276595744675, "loss": 1.6794, "step": 5080 }, { "epoch": 4.45, "learning_rate": 0.00027014627659574465, "loss": 1.7893, "step": 5090 }, { "epoch": 4.46, "learning_rate": 0.00027007978723404255, "loss": 1.7345, "step": 5100 }, { "epoch": 4.47, "learning_rate": 0.0002700132978723404, "loss": 1.6121, "step": 5110 }, { "epoch": 4.48, "learning_rate": 0.0002699468085106383, "loss": 1.731, "step": 5120 }, { "epoch": 4.49, "learning_rate": 0.00026988031914893613, "loss": 1.6393, "step": 5130 }, { "epoch": 4.5, "learning_rate": 0.00026981382978723403, "loss": 1.7692, "step": 5140 }, { "epoch": 4.51, "learning_rate": 0.00026974734042553187, "loss": 1.7668, "step": 5150 }, { "epoch": 4.51, "learning_rate": 0.00026968085106382977, "loss": 1.7227, "step": 5160 }, { "epoch": 4.52, "learning_rate": 0.0002696143617021276, "loss": 1.7744, "step": 5170 }, { "epoch": 4.53, "learning_rate": 0.0002695478723404255, "loss": 1.7756, "step": 5180 }, { "epoch": 4.54, "learning_rate": 0.0002694813829787234, "loss": 1.6633, "step": 5190 }, { "epoch": 4.55, "learning_rate": 0.00026941489361702125, "loss": 1.7953, "step": 5200 }, { "epoch": 4.56, "learning_rate": 0.00026934840425531914, "loss": 1.6928, "step": 5210 }, { "epoch": 4.57, "learning_rate": 0.000269281914893617, "loss": 1.539, "step": 5220 }, { "epoch": 4.58, "learning_rate": 0.0002692154255319149, "loss": 1.6492, "step": 5230 }, { "epoch": 4.58, "learning_rate": 0.0002691489361702127, "loss": 1.7112, "step": 5240 }, { "epoch": 4.59, "learning_rate": 0.0002690824468085106, "loss": 1.7788, "step": 5250 }, { "epoch": 4.6, "learning_rate": 0.0002690159574468085, "loss": 1.6778, "step": 5260 }, { "epoch": 4.61, "learning_rate": 0.00026894946808510636, "loss": 1.6881, "step": 5270 }, { "epoch": 4.62, "learning_rate": 0.00026888297872340426, "loss": 1.7395, "step": 5280 }, { "epoch": 4.63, "learning_rate": 0.0002688164893617021, "loss": 1.6457, "step": 5290 }, { "epoch": 4.64, "learning_rate": 0.00026875, "loss": 1.7341, "step": 5300 }, { "epoch": 4.65, "learning_rate": 0.00026868351063829784, "loss": 1.7783, "step": 5310 }, { "epoch": 4.65, "learning_rate": 0.00026861702127659574, "loss": 1.6225, "step": 5320 }, { "epoch": 4.66, "learning_rate": 0.0002685505319148936, "loss": 1.6198, "step": 5330 }, { "epoch": 4.67, "learning_rate": 0.0002684840425531915, "loss": 1.6832, "step": 5340 }, { "epoch": 4.68, "learning_rate": 0.0002684175531914894, "loss": 1.7241, "step": 5350 }, { "epoch": 4.69, "learning_rate": 0.0002683510638297872, "loss": 1.6902, "step": 5360 }, { "epoch": 4.7, "learning_rate": 0.00026828457446808506, "loss": 1.7129, "step": 5370 }, { "epoch": 4.71, "learning_rate": 0.00026821808510638296, "loss": 1.6445, "step": 5380 }, { "epoch": 4.72, "learning_rate": 0.0002681515957446808, "loss": 1.7104, "step": 5390 }, { "epoch": 4.72, "learning_rate": 0.0002680851063829787, "loss": 1.663, "step": 5400 }, { "epoch": 4.72, "eval_cer1": 0.43908038216130446, "eval_cer2": 0.4118785890073831, "eval_cer3": 0.39411956876837634, "eval_cer4": 0.3932837502817219, "eval_cer5": 0.4089171974522293, "eval_loss": 1.5627174377441406, "eval_runtime": 1203.0302, "eval_samples_per_second": 7.282, "step": 5400 }, { "epoch": 4.73, "learning_rate": 0.00026801861702127654, "loss": 1.6257, "step": 5410 }, { "epoch": 4.74, "learning_rate": 0.00026795212765957444, "loss": 1.6915, "step": 5420 }, { "epoch": 4.75, "learning_rate": 0.0002678856382978723, "loss": 1.7133, "step": 5430 }, { "epoch": 4.76, "learning_rate": 0.0002678191489361702, "loss": 1.7193, "step": 5440 }, { "epoch": 4.77, "learning_rate": 0.0002677526595744681, "loss": 1.7203, "step": 5450 }, { "epoch": 4.78, "learning_rate": 0.0002676861702127659, "loss": 1.7065, "step": 5460 }, { "epoch": 4.79, "learning_rate": 0.0002676196808510638, "loss": 1.6243, "step": 5470 }, { "epoch": 4.79, "learning_rate": 0.00026755319148936166, "loss": 1.6276, "step": 5480 }, { "epoch": 4.8, "learning_rate": 0.00026748670212765955, "loss": 1.705, "step": 5490 }, { "epoch": 4.81, "learning_rate": 0.0002674202127659574, "loss": 1.5906, "step": 5500 }, { "epoch": 4.82, "learning_rate": 0.0002673537234042553, "loss": 1.5853, "step": 5510 }, { "epoch": 4.83, "learning_rate": 0.0002672872340425532, "loss": 1.6309, "step": 5520 }, { "epoch": 4.84, "learning_rate": 0.00026722074468085103, "loss": 1.6146, "step": 5530 }, { "epoch": 4.85, "learning_rate": 0.00026715425531914893, "loss": 1.6431, "step": 5540 }, { "epoch": 4.86, "learning_rate": 0.0002670877659574468, "loss": 1.7322, "step": 5550 }, { "epoch": 4.86, "learning_rate": 0.00026702127659574467, "loss": 1.5762, "step": 5560 }, { "epoch": 4.87, "learning_rate": 0.0002669547872340425, "loss": 1.6048, "step": 5570 }, { "epoch": 4.88, "learning_rate": 0.0002668882978723404, "loss": 1.6619, "step": 5580 }, { "epoch": 4.89, "learning_rate": 0.00026682180851063825, "loss": 1.6769, "step": 5590 }, { "epoch": 4.9, "learning_rate": 0.00026675531914893615, "loss": 1.5726, "step": 5600 }, { "epoch": 4.91, "learning_rate": 0.00026668882978723405, "loss": 1.5174, "step": 5610 }, { "epoch": 4.92, "learning_rate": 0.0002666223404255319, "loss": 1.7379, "step": 5620 }, { "epoch": 4.93, "learning_rate": 0.0002665558510638298, "loss": 1.7358, "step": 5630 }, { "epoch": 4.93, "learning_rate": 0.00026648936170212763, "loss": 1.5477, "step": 5640 }, { "epoch": 4.94, "learning_rate": 0.0002664228723404255, "loss": 1.5991, "step": 5650 }, { "epoch": 4.95, "learning_rate": 0.00026635638297872337, "loss": 1.5804, "step": 5660 }, { "epoch": 4.96, "learning_rate": 0.00026628989361702127, "loss": 1.5597, "step": 5670 }, { "epoch": 4.97, "learning_rate": 0.00026622340425531916, "loss": 1.6171, "step": 5680 }, { "epoch": 4.98, "learning_rate": 0.000266156914893617, "loss": 1.5152, "step": 5690 }, { "epoch": 4.99, "learning_rate": 0.0002660904255319149, "loss": 1.6407, "step": 5700 }, { "epoch": 5.0, "learning_rate": 0.00026602393617021275, "loss": 1.5382, "step": 5710 }, { "epoch": 5.0, "learning_rate": 0.0002659574468085106, "loss": 1.7178, "step": 5720 }, { "epoch": 5.01, "learning_rate": 0.0002658909574468085, "loss": 1.3777, "step": 5730 }, { "epoch": 5.02, "learning_rate": 0.00026582446808510633, "loss": 1.4329, "step": 5740 }, { "epoch": 5.03, "learning_rate": 0.0002657579787234042, "loss": 1.4871, "step": 5750 }, { "epoch": 5.04, "learning_rate": 0.00026569148936170207, "loss": 1.4361, "step": 5760 }, { "epoch": 5.05, "learning_rate": 0.00026562499999999996, "loss": 1.4463, "step": 5770 }, { "epoch": 5.06, "learning_rate": 0.00026555851063829786, "loss": 1.4857, "step": 5780 }, { "epoch": 5.07, "learning_rate": 0.0002654920212765957, "loss": 1.5196, "step": 5790 }, { "epoch": 5.07, "learning_rate": 0.0002654255319148936, "loss": 1.4171, "step": 5800 }, { "epoch": 5.08, "learning_rate": 0.00026535904255319144, "loss": 1.4683, "step": 5810 }, { "epoch": 5.09, "learning_rate": 0.00026529255319148934, "loss": 1.5687, "step": 5820 }, { "epoch": 5.1, "learning_rate": 0.0002652260638297872, "loss": 1.4001, "step": 5830 }, { "epoch": 5.11, "learning_rate": 0.0002651595744680851, "loss": 1.5173, "step": 5840 }, { "epoch": 5.12, "learning_rate": 0.000265093085106383, "loss": 1.5521, "step": 5850 }, { "epoch": 5.13, "learning_rate": 0.0002650265957446808, "loss": 1.5179, "step": 5860 }, { "epoch": 5.14, "learning_rate": 0.0002649601063829787, "loss": 1.5178, "step": 5870 }, { "epoch": 5.14, "learning_rate": 0.00026489361702127656, "loss": 1.4372, "step": 5880 }, { "epoch": 5.15, "learning_rate": 0.00026482712765957446, "loss": 1.4835, "step": 5890 }, { "epoch": 5.16, "learning_rate": 0.0002647606382978723, "loss": 1.5221, "step": 5900 }, { "epoch": 5.17, "learning_rate": 0.0002646941489361702, "loss": 1.4969, "step": 5910 }, { "epoch": 5.18, "learning_rate": 0.00026462765957446804, "loss": 1.5346, "step": 5920 }, { "epoch": 5.19, "learning_rate": 0.00026456117021276594, "loss": 1.5401, "step": 5930 }, { "epoch": 5.2, "learning_rate": 0.00026449468085106383, "loss": 1.6348, "step": 5940 }, { "epoch": 5.21, "learning_rate": 0.0002644281914893617, "loss": 1.722, "step": 5950 }, { "epoch": 5.21, "learning_rate": 0.0002643617021276596, "loss": 1.6383, "step": 5960 }, { "epoch": 5.22, "learning_rate": 0.0002642952127659574, "loss": 1.5747, "step": 5970 }, { "epoch": 5.23, "learning_rate": 0.0002642287234042553, "loss": 1.5326, "step": 5980 }, { "epoch": 5.24, "learning_rate": 0.00026416223404255316, "loss": 1.6463, "step": 5990 }, { "epoch": 5.25, "learning_rate": 0.00026409574468085105, "loss": 1.5722, "step": 6000 }, { "epoch": 5.25, "eval_cer1": 0.4227743830390601, "eval_cer2": 0.3999343724364233, "eval_cer3": 0.3783404116301862, "eval_cer4": 0.37782929263659487, "eval_cer5": 0.3960084925690021, "eval_loss": 1.4970678091049194, "eval_runtime": 1170.3902, "eval_samples_per_second": 7.485, "step": 6000 }, { "epoch": 5.26, "learning_rate": 0.00026402925531914895, "loss": 1.4507, "step": 6010 }, { "epoch": 5.27, "learning_rate": 0.0002639627659574468, "loss": 1.4472, "step": 6020 }, { "epoch": 5.28, "learning_rate": 0.0002638962765957447, "loss": 1.4738, "step": 6030 }, { "epoch": 5.28, "learning_rate": 0.00026382978723404253, "loss": 1.4355, "step": 6040 }, { "epoch": 5.29, "learning_rate": 0.00026376329787234043, "loss": 1.5177, "step": 6050 }, { "epoch": 5.3, "learning_rate": 0.00026369680851063827, "loss": 1.3714, "step": 6060 }, { "epoch": 5.31, "learning_rate": 0.0002636303191489361, "loss": 1.5633, "step": 6070 }, { "epoch": 5.32, "learning_rate": 0.000263563829787234, "loss": 1.6296, "step": 6080 }, { "epoch": 5.33, "learning_rate": 0.00026349734042553185, "loss": 1.4953, "step": 6090 }, { "epoch": 5.34, "learning_rate": 0.00026343085106382975, "loss": 1.5496, "step": 6100 }, { "epoch": 5.35, "learning_rate": 0.00026336436170212765, "loss": 1.5825, "step": 6110 }, { "epoch": 5.35, "learning_rate": 0.0002632978723404255, "loss": 1.5436, "step": 6120 }, { "epoch": 5.36, "learning_rate": 0.0002632313829787234, "loss": 1.5065, "step": 6130 }, { "epoch": 5.37, "learning_rate": 0.00026316489361702123, "loss": 1.6658, "step": 6140 }, { "epoch": 5.38, "learning_rate": 0.00026309840425531913, "loss": 1.6777, "step": 6150 }, { "epoch": 5.39, "learning_rate": 0.00026303191489361697, "loss": 1.532, "step": 6160 }, { "epoch": 5.4, "learning_rate": 0.00026296542553191487, "loss": 1.5679, "step": 6170 }, { "epoch": 5.41, "learning_rate": 0.0002628989361702127, "loss": 1.3874, "step": 6180 }, { "epoch": 5.42, "learning_rate": 0.0002628324468085106, "loss": 1.5649, "step": 6190 }, { "epoch": 5.42, "learning_rate": 0.0002627659574468085, "loss": 1.5003, "step": 6200 }, { "epoch": 5.43, "learning_rate": 0.00026269946808510635, "loss": 1.4823, "step": 6210 }, { "epoch": 5.44, "learning_rate": 0.00026263297872340424, "loss": 1.6391, "step": 6220 }, { "epoch": 5.45, "learning_rate": 0.0002625664893617021, "loss": 1.4396, "step": 6230 }, { "epoch": 5.46, "learning_rate": 0.0002625, "loss": 1.6012, "step": 6240 }, { "epoch": 5.47, "learning_rate": 0.0002624335106382978, "loss": 1.5256, "step": 6250 }, { "epoch": 5.48, "learning_rate": 0.0002623670212765957, "loss": 1.4321, "step": 6260 }, { "epoch": 5.49, "learning_rate": 0.0002623005319148936, "loss": 1.5408, "step": 6270 }, { "epoch": 5.49, "learning_rate": 0.00026223404255319146, "loss": 1.5097, "step": 6280 }, { "epoch": 5.5, "learning_rate": 0.00026216755319148936, "loss": 1.5965, "step": 6290 }, { "epoch": 5.51, "learning_rate": 0.0002621010638297872, "loss": 1.5046, "step": 6300 }, { "epoch": 5.52, "learning_rate": 0.0002620345744680851, "loss": 1.5759, "step": 6310 }, { "epoch": 5.53, "learning_rate": 0.00026196808510638294, "loss": 1.4933, "step": 6320 }, { "epoch": 5.54, "learning_rate": 0.00026190159574468084, "loss": 1.5479, "step": 6330 }, { "epoch": 5.55, "learning_rate": 0.00026183510638297874, "loss": 1.5455, "step": 6340 }, { "epoch": 5.56, "learning_rate": 0.0002617686170212766, "loss": 1.5216, "step": 6350 }, { "epoch": 5.56, "learning_rate": 0.0002617021276595745, "loss": 1.519, "step": 6360 }, { "epoch": 5.57, "learning_rate": 0.0002616356382978723, "loss": 1.5309, "step": 6370 }, { "epoch": 5.58, "learning_rate": 0.0002615691489361702, "loss": 1.5143, "step": 6380 }, { "epoch": 5.59, "learning_rate": 0.00026150265957446806, "loss": 1.4288, "step": 6390 }, { "epoch": 5.6, "learning_rate": 0.00026143617021276596, "loss": 1.4655, "step": 6400 }, { "epoch": 5.61, "learning_rate": 0.0002613696808510638, "loss": 1.484, "step": 6410 }, { "epoch": 5.62, "learning_rate": 0.00026130319148936164, "loss": 1.4956, "step": 6420 }, { "epoch": 5.63, "learning_rate": 0.00026123670212765954, "loss": 1.5243, "step": 6430 }, { "epoch": 5.63, "learning_rate": 0.00026117021276595744, "loss": 1.6005, "step": 6440 }, { "epoch": 5.64, "learning_rate": 0.0002611037234042553, "loss": 1.5408, "step": 6450 }, { "epoch": 5.65, "learning_rate": 0.0002610372340425532, "loss": 1.6049, "step": 6460 }, { "epoch": 5.66, "learning_rate": 0.000260970744680851, "loss": 1.5026, "step": 6470 }, { "epoch": 5.67, "learning_rate": 0.0002609042553191489, "loss": 1.4647, "step": 6480 }, { "epoch": 5.68, "learning_rate": 0.00026083776595744676, "loss": 1.527, "step": 6490 }, { "epoch": 5.69, "learning_rate": 0.00026077127659574465, "loss": 1.5377, "step": 6500 }, { "epoch": 5.7, "learning_rate": 0.0002607047872340425, "loss": 1.4356, "step": 6510 }, { "epoch": 5.7, "learning_rate": 0.0002606382978723404, "loss": 1.5823, "step": 6520 }, { "epoch": 5.71, "learning_rate": 0.0002605718085106383, "loss": 1.564, "step": 6530 }, { "epoch": 5.72, "learning_rate": 0.00026050531914893613, "loss": 1.4444, "step": 6540 }, { "epoch": 5.73, "learning_rate": 0.00026043882978723403, "loss": 1.5093, "step": 6550 }, { "epoch": 5.74, "learning_rate": 0.0002603723404255319, "loss": 1.4817, "step": 6560 }, { "epoch": 5.75, "learning_rate": 0.00026030585106382977, "loss": 1.4281, "step": 6570 }, { "epoch": 5.76, "learning_rate": 0.0002602393617021276, "loss": 1.4781, "step": 6580 }, { "epoch": 5.77, "learning_rate": 0.0002601728723404255, "loss": 1.4837, "step": 6590 }, { "epoch": 5.77, "learning_rate": 0.0002601063829787234, "loss": 1.5699, "step": 6600 }, { "epoch": 5.77, "eval_cer1": 0.4102832449951048, "eval_cer2": 0.39038556193601315, "eval_cer3": 0.3686703691604051, "eval_cer4": 0.36688238513796323, "eval_cer5": 0.38717622080679404, "eval_loss": 1.4692012071609497, "eval_runtime": 1196.3644, "eval_samples_per_second": 7.322, "step": 6600 }, { "epoch": 5.78, "learning_rate": 0.00026003989361702125, "loss": 1.4812, "step": 6610 }, { "epoch": 5.79, "learning_rate": 0.00025997340425531915, "loss": 1.4878, "step": 6620 }, { "epoch": 5.8, "learning_rate": 0.000259906914893617, "loss": 1.5442, "step": 6630 }, { "epoch": 5.81, "learning_rate": 0.0002598404255319149, "loss": 1.4172, "step": 6640 }, { "epoch": 5.82, "learning_rate": 0.00025977393617021273, "loss": 1.4886, "step": 6650 }, { "epoch": 5.83, "learning_rate": 0.0002597074468085106, "loss": 1.4446, "step": 6660 }, { "epoch": 5.84, "learning_rate": 0.00025964095744680847, "loss": 1.4976, "step": 6670 }, { "epoch": 5.84, "learning_rate": 0.00025957446808510637, "loss": 1.4596, "step": 6680 }, { "epoch": 5.85, "learning_rate": 0.00025950797872340426, "loss": 1.5658, "step": 6690 }, { "epoch": 5.86, "learning_rate": 0.0002594414893617021, "loss": 1.5781, "step": 6700 }, { "epoch": 5.87, "learning_rate": 0.000259375, "loss": 1.3926, "step": 6710 }, { "epoch": 5.88, "learning_rate": 0.00025930851063829785, "loss": 1.5253, "step": 6720 }, { "epoch": 5.89, "learning_rate": 0.00025924202127659574, "loss": 1.5422, "step": 6730 }, { "epoch": 5.9, "learning_rate": 0.0002591755319148936, "loss": 1.6579, "step": 6740 }, { "epoch": 5.91, "learning_rate": 0.0002591090425531915, "loss": 1.5135, "step": 6750 }, { "epoch": 5.91, "learning_rate": 0.0002590425531914894, "loss": 1.5605, "step": 6760 }, { "epoch": 5.92, "learning_rate": 0.0002589760638297872, "loss": 1.588, "step": 6770 }, { "epoch": 5.93, "learning_rate": 0.00025890957446808506, "loss": 1.5299, "step": 6780 }, { "epoch": 5.94, "learning_rate": 0.00025884308510638296, "loss": 1.6009, "step": 6790 }, { "epoch": 5.95, "learning_rate": 0.0002587765957446808, "loss": 1.6341, "step": 6800 }, { "epoch": 5.96, "learning_rate": 0.0002587101063829787, "loss": 1.5203, "step": 6810 }, { "epoch": 5.97, "learning_rate": 0.00025864361702127654, "loss": 1.6179, "step": 6820 }, { "epoch": 5.98, "learning_rate": 0.00025857712765957444, "loss": 1.6469, "step": 6830 }, { "epoch": 5.98, "learning_rate": 0.0002585106382978723, "loss": 1.6774, "step": 6840 }, { "epoch": 5.99, "learning_rate": 0.0002584441489361702, "loss": 1.6559, "step": 6850 }, { "epoch": 6.0, "learning_rate": 0.0002583776595744681, "loss": 1.7323, "step": 6860 }, { "epoch": 6.01, "learning_rate": 0.0002583111702127659, "loss": 1.533, "step": 6870 }, { "epoch": 6.02, "learning_rate": 0.0002582446808510638, "loss": 1.4408, "step": 6880 }, { "epoch": 6.03, "learning_rate": 0.00025817819148936166, "loss": 1.4379, "step": 6890 }, { "epoch": 6.04, "learning_rate": 0.00025811170212765956, "loss": 1.5289, "step": 6900 }, { "epoch": 6.05, "learning_rate": 0.0002580452127659574, "loss": 1.5008, "step": 6910 }, { "epoch": 6.05, "learning_rate": 0.0002579787234042553, "loss": 1.5348, "step": 6920 }, { "epoch": 6.06, "learning_rate": 0.0002579122340425532, "loss": 1.5062, "step": 6930 }, { "epoch": 6.07, "learning_rate": 0.00025784574468085104, "loss": 1.6945, "step": 6940 }, { "epoch": 6.08, "learning_rate": 0.00025777925531914893, "loss": 1.5083, "step": 6950 }, { "epoch": 6.09, "learning_rate": 0.0002577127659574468, "loss": 1.4224, "step": 6960 }, { "epoch": 6.1, "learning_rate": 0.0002576462765957447, "loss": 1.4443, "step": 6970 }, { "epoch": 6.11, "learning_rate": 0.0002575797872340425, "loss": 1.3956, "step": 6980 }, { "epoch": 6.12, "learning_rate": 0.0002575132978723404, "loss": 1.4081, "step": 6990 }, { "epoch": 6.12, "learning_rate": 0.00025744680851063826, "loss": 1.4512, "step": 7000 }, { "epoch": 6.13, "learning_rate": 0.00025738031914893615, "loss": 1.4192, "step": 7010 }, { "epoch": 6.14, "learning_rate": 0.00025731382978723405, "loss": 1.4389, "step": 7020 }, { "epoch": 6.15, "learning_rate": 0.0002572473404255319, "loss": 1.4325, "step": 7030 }, { "epoch": 6.16, "learning_rate": 0.0002571808510638298, "loss": 1.4419, "step": 7040 }, { "epoch": 6.17, "learning_rate": 0.00025711436170212763, "loss": 1.4596, "step": 7050 }, { "epoch": 6.18, "learning_rate": 0.00025704787234042553, "loss": 1.5145, "step": 7060 }, { "epoch": 6.19, "learning_rate": 0.00025698138297872337, "loss": 1.4939, "step": 7070 }, { "epoch": 6.19, "learning_rate": 0.00025691489361702127, "loss": 1.4896, "step": 7080 }, { "epoch": 6.2, "learning_rate": 0.00025684840425531917, "loss": 1.4023, "step": 7090 }, { "epoch": 6.21, "learning_rate": 0.000256781914893617, "loss": 1.4434, "step": 7100 }, { "epoch": 6.22, "learning_rate": 0.0002567154255319149, "loss": 1.5419, "step": 7110 }, { "epoch": 6.23, "learning_rate": 0.00025664893617021275, "loss": 1.4532, "step": 7120 }, { "epoch": 6.24, "learning_rate": 0.0002565824468085106, "loss": 1.5172, "step": 7130 }, { "epoch": 6.25, "learning_rate": 0.0002565159574468085, "loss": 1.5069, "step": 7140 }, { "epoch": 6.26, "learning_rate": 0.00025644946808510633, "loss": 1.4821, "step": 7150 }, { "epoch": 6.26, "learning_rate": 0.00025638297872340423, "loss": 1.3787, "step": 7160 }, { "epoch": 6.27, "learning_rate": 0.00025631648936170207, "loss": 1.4201, "step": 7170 }, { "epoch": 6.28, "learning_rate": 0.00025624999999999997, "loss": 1.5434, "step": 7180 }, { "epoch": 6.29, "learning_rate": 0.00025618351063829786, "loss": 1.5421, "step": 7190 }, { "epoch": 6.3, "learning_rate": 0.0002561170212765957, "loss": 1.4522, "step": 7200 }, { "epoch": 6.3, "eval_cer1": 0.4101482056648999, "eval_cer2": 0.3941591468416735, "eval_cer3": 0.37131656321463574, "eval_cer4": 0.3709391802698091, "eval_cer5": 0.38445859872611465, "eval_loss": 1.4651763439178467, "eval_runtime": 1201.1977, "eval_samples_per_second": 7.293, "step": 7200 }, { "epoch": 6.31, "learning_rate": 0.0002560505319148936, "loss": 1.4876, "step": 7210 }, { "epoch": 6.32, "learning_rate": 0.00025598404255319145, "loss": 1.4408, "step": 7220 }, { "epoch": 6.33, "learning_rate": 0.00025591755319148934, "loss": 1.3894, "step": 7230 }, { "epoch": 6.33, "learning_rate": 0.0002558510638297872, "loss": 1.5722, "step": 7240 }, { "epoch": 6.34, "learning_rate": 0.0002557845744680851, "loss": 1.3938, "step": 7250 }, { "epoch": 6.35, "learning_rate": 0.0002557180851063829, "loss": 1.4445, "step": 7260 }, { "epoch": 6.36, "learning_rate": 0.0002556515957446808, "loss": 1.4407, "step": 7270 }, { "epoch": 6.37, "learning_rate": 0.0002555851063829787, "loss": 1.5177, "step": 7280 }, { "epoch": 6.38, "learning_rate": 0.00025551861702127656, "loss": 1.4276, "step": 7290 }, { "epoch": 6.39, "learning_rate": 0.00025545212765957446, "loss": 1.399, "step": 7300 }, { "epoch": 6.4, "learning_rate": 0.0002553856382978723, "loss": 1.4698, "step": 7310 }, { "epoch": 6.4, "learning_rate": 0.0002553191489361702, "loss": 1.3803, "step": 7320 }, { "epoch": 6.41, "learning_rate": 0.00025525265957446804, "loss": 1.5104, "step": 7330 }, { "epoch": 6.42, "learning_rate": 0.00025518617021276594, "loss": 1.5448, "step": 7340 }, { "epoch": 6.43, "learning_rate": 0.00025511968085106384, "loss": 1.4301, "step": 7350 }, { "epoch": 6.44, "learning_rate": 0.0002550531914893617, "loss": 1.3505, "step": 7360 }, { "epoch": 6.45, "learning_rate": 0.0002549867021276596, "loss": 1.3716, "step": 7370 }, { "epoch": 6.46, "learning_rate": 0.0002549202127659574, "loss": 1.4436, "step": 7380 }, { "epoch": 6.47, "learning_rate": 0.0002548537234042553, "loss": 1.4351, "step": 7390 }, { "epoch": 6.47, "learning_rate": 0.00025478723404255316, "loss": 1.3859, "step": 7400 }, { "epoch": 6.48, "learning_rate": 0.00025472074468085106, "loss": 1.4115, "step": 7410 }, { "epoch": 6.49, "learning_rate": 0.00025465425531914895, "loss": 1.4525, "step": 7420 }, { "epoch": 6.5, "learning_rate": 0.0002545877659574468, "loss": 1.4095, "step": 7430 }, { "epoch": 6.51, "learning_rate": 0.0002545212765957447, "loss": 1.5183, "step": 7440 }, { "epoch": 6.52, "learning_rate": 0.00025445478723404253, "loss": 1.3763, "step": 7450 }, { "epoch": 6.53, "learning_rate": 0.00025438829787234043, "loss": 1.3468, "step": 7460 }, { "epoch": 6.54, "learning_rate": 0.0002543218085106383, "loss": 1.4389, "step": 7470 }, { "epoch": 6.54, "learning_rate": 0.0002542553191489361, "loss": 1.4745, "step": 7480 }, { "epoch": 6.55, "learning_rate": 0.000254188829787234, "loss": 1.4956, "step": 7490 }, { "epoch": 6.56, "learning_rate": 0.00025412234042553186, "loss": 1.5116, "step": 7500 }, { "epoch": 6.57, "learning_rate": 0.00025405585106382975, "loss": 1.5477, "step": 7510 }, { "epoch": 6.58, "learning_rate": 0.00025398936170212765, "loss": 1.4733, "step": 7520 }, { "epoch": 6.59, "learning_rate": 0.0002539228723404255, "loss": 1.4782, "step": 7530 }, { "epoch": 6.6, "learning_rate": 0.0002538563829787234, "loss": 1.5716, "step": 7540 }, { "epoch": 6.61, "learning_rate": 0.00025378989361702123, "loss": 1.5252, "step": 7550 }, { "epoch": 6.61, "learning_rate": 0.00025372340425531913, "loss": 1.6518, "step": 7560 }, { "epoch": 6.62, "learning_rate": 0.000253656914893617, "loss": 1.5466, "step": 7570 }, { "epoch": 6.63, "learning_rate": 0.00025359042553191487, "loss": 1.5048, "step": 7580 }, { "epoch": 6.64, "learning_rate": 0.0002535239361702127, "loss": 1.5471, "step": 7590 }, { "epoch": 6.65, "learning_rate": 0.0002534574468085106, "loss": 1.512, "step": 7600 }, { "epoch": 6.66, "learning_rate": 0.0002533909574468085, "loss": 1.4458, "step": 7610 }, { "epoch": 6.67, "learning_rate": 0.00025332446808510635, "loss": 1.4088, "step": 7620 }, { "epoch": 6.68, "learning_rate": 0.00025325797872340425, "loss": 1.4543, "step": 7630 }, { "epoch": 6.68, "learning_rate": 0.0002531914893617021, "loss": 1.4255, "step": 7640 }, { "epoch": 6.69, "learning_rate": 0.000253125, "loss": 1.3571, "step": 7650 }, { "epoch": 6.7, "learning_rate": 0.00025305851063829783, "loss": 1.4954, "step": 7660 }, { "epoch": 6.71, "learning_rate": 0.0002529920212765957, "loss": 1.3382, "step": 7670 }, { "epoch": 6.72, "learning_rate": 0.0002529255319148936, "loss": 1.4834, "step": 7680 }, { "epoch": 6.73, "learning_rate": 0.00025285904255319147, "loss": 1.3796, "step": 7690 }, { "epoch": 6.74, "learning_rate": 0.00025279255319148936, "loss": 1.4648, "step": 7700 }, { "epoch": 6.75, "learning_rate": 0.0002527260638297872, "loss": 1.4303, "step": 7710 }, { "epoch": 6.75, "learning_rate": 0.0002526595744680851, "loss": 1.5445, "step": 7720 }, { "epoch": 6.76, "learning_rate": 0.00025259308510638295, "loss": 1.5056, "step": 7730 }, { "epoch": 6.77, "learning_rate": 0.00025252659574468084, "loss": 1.5799, "step": 7740 }, { "epoch": 6.78, "learning_rate": 0.0002524601063829787, "loss": 1.5216, "step": 7750 }, { "epoch": 6.79, "learning_rate": 0.0002523936170212766, "loss": 1.4382, "step": 7760 }, { "epoch": 6.8, "learning_rate": 0.0002523271276595745, "loss": 1.5345, "step": 7770 }, { "epoch": 6.81, "learning_rate": 0.0002522606382978723, "loss": 1.4776, "step": 7780 }, { "epoch": 6.82, "learning_rate": 0.0002521941489361702, "loss": 1.5153, "step": 7790 }, { "epoch": 6.82, "learning_rate": 0.00025212765957446806, "loss": 1.4252, "step": 7800 }, { "epoch": 6.82, "eval_cer1": 0.41764288849127307, "eval_cer2": 0.39721082854799017, "eval_cer3": 0.37161058477621695, "eval_cer4": 0.37528574648250107, "eval_cer5": 0.3913375796178344, "eval_loss": 1.4522826671600342, "eval_runtime": 1183.7468, "eval_samples_per_second": 7.4, "step": 7800 }, { "epoch": 6.83, "learning_rate": 0.00025206117021276596, "loss": 1.3371, "step": 7810 }, { "epoch": 6.84, "learning_rate": 0.0002519946808510638, "loss": 1.4377, "step": 7820 }, { "epoch": 6.85, "learning_rate": 0.00025192819148936164, "loss": 1.4988, "step": 7830 }, { "epoch": 6.86, "learning_rate": 0.00025186170212765954, "loss": 1.4264, "step": 7840 }, { "epoch": 6.87, "learning_rate": 0.0002517952127659574, "loss": 1.4427, "step": 7850 }, { "epoch": 6.88, "learning_rate": 0.0002517287234042553, "loss": 1.4041, "step": 7860 }, { "epoch": 6.89, "learning_rate": 0.0002516622340425532, "loss": 1.4533, "step": 7870 }, { "epoch": 6.89, "learning_rate": 0.000251595744680851, "loss": 1.348, "step": 7880 }, { "epoch": 6.9, "learning_rate": 0.0002515292553191489, "loss": 1.4283, "step": 7890 }, { "epoch": 6.91, "learning_rate": 0.00025146276595744676, "loss": 1.4227, "step": 7900 }, { "epoch": 6.92, "learning_rate": 0.00025139627659574466, "loss": 1.4301, "step": 7910 }, { "epoch": 6.93, "learning_rate": 0.0002513297872340425, "loss": 1.5239, "step": 7920 }, { "epoch": 6.94, "learning_rate": 0.0002512632978723404, "loss": 1.3896, "step": 7930 }, { "epoch": 6.95, "learning_rate": 0.0002511968085106383, "loss": 1.3956, "step": 7940 }, { "epoch": 6.95, "learning_rate": 0.00025113031914893614, "loss": 1.3791, "step": 7950 }, { "epoch": 6.96, "learning_rate": 0.00025106382978723403, "loss": 1.4917, "step": 7960 }, { "epoch": 6.97, "learning_rate": 0.0002509973404255319, "loss": 1.3755, "step": 7970 }, { "epoch": 6.98, "learning_rate": 0.0002509308510638298, "loss": 1.4287, "step": 7980 }, { "epoch": 6.99, "learning_rate": 0.0002508643617021276, "loss": 1.3821, "step": 7990 }, { "epoch": 7.0, "learning_rate": 0.0002507978723404255, "loss": 1.4476, "step": 8000 }, { "epoch": 7.01, "learning_rate": 0.0002507313829787234, "loss": 1.4671, "step": 8010 }, { "epoch": 7.02, "learning_rate": 0.00025066489361702125, "loss": 1.4106, "step": 8020 }, { "epoch": 7.03, "learning_rate": 0.00025059840425531915, "loss": 1.3781, "step": 8030 }, { "epoch": 7.03, "learning_rate": 0.000250531914893617, "loss": 1.3588, "step": 8040 }, { "epoch": 7.04, "learning_rate": 0.0002504654255319149, "loss": 1.3507, "step": 8050 }, { "epoch": 7.05, "learning_rate": 0.00025039893617021273, "loss": 1.3521, "step": 8060 }, { "epoch": 7.06, "learning_rate": 0.00025033244680851063, "loss": 1.3071, "step": 8070 }, { "epoch": 7.07, "learning_rate": 0.00025026595744680847, "loss": 1.4029, "step": 8080 }, { "epoch": 7.08, "learning_rate": 0.00025019946808510637, "loss": 1.3351, "step": 8090 }, { "epoch": 7.09, "learning_rate": 0.00025013297872340427, "loss": 1.3568, "step": 8100 }, { "epoch": 7.1, "learning_rate": 0.0002500664893617021, "loss": 1.3514, "step": 8110 }, { "epoch": 7.1, "learning_rate": 0.00025, "loss": 1.2756, "step": 8120 }, { "epoch": 7.11, "learning_rate": 0.00024993351063829785, "loss": 1.3228, "step": 8130 }, { "epoch": 7.12, "learning_rate": 0.00024986702127659574, "loss": 1.3906, "step": 8140 }, { "epoch": 7.13, "learning_rate": 0.0002498005319148936, "loss": 1.2935, "step": 8150 }, { "epoch": 7.14, "learning_rate": 0.0002497340425531915, "loss": 1.3831, "step": 8160 }, { "epoch": 7.15, "learning_rate": 0.0002496675531914894, "loss": 1.2992, "step": 8170 }, { "epoch": 7.16, "learning_rate": 0.00024960106382978717, "loss": 1.3969, "step": 8180 }, { "epoch": 7.17, "learning_rate": 0.00024953457446808507, "loss": 1.3593, "step": 8190 }, { "epoch": 7.17, "learning_rate": 0.00024946808510638296, "loss": 1.2389, "step": 8200 }, { "epoch": 7.18, "learning_rate": 0.0002494015957446808, "loss": 1.2797, "step": 8210 }, { "epoch": 7.19, "learning_rate": 0.0002493351063829787, "loss": 1.3667, "step": 8220 }, { "epoch": 7.2, "learning_rate": 0.00024926861702127655, "loss": 1.2601, "step": 8230 }, { "epoch": 7.21, "learning_rate": 0.00024920212765957444, "loss": 1.2693, "step": 8240 }, { "epoch": 7.22, "learning_rate": 0.0002491356382978723, "loss": 1.3098, "step": 8250 }, { "epoch": 7.23, "learning_rate": 0.0002490691489361702, "loss": 1.2985, "step": 8260 }, { "epoch": 7.24, "learning_rate": 0.0002490026595744681, "loss": 1.4251, "step": 8270 }, { "epoch": 7.24, "learning_rate": 0.0002489361702127659, "loss": 1.4147, "step": 8280 }, { "epoch": 7.25, "learning_rate": 0.0002488696808510638, "loss": 1.2947, "step": 8290 }, { "epoch": 7.26, "learning_rate": 0.00024880319148936166, "loss": 1.366, "step": 8300 }, { "epoch": 7.27, "learning_rate": 0.00024873670212765956, "loss": 1.3915, "step": 8310 }, { "epoch": 7.28, "learning_rate": 0.0002486702127659574, "loss": 1.3545, "step": 8320 }, { "epoch": 7.29, "learning_rate": 0.0002486037234042553, "loss": 1.429, "step": 8330 }, { "epoch": 7.3, "learning_rate": 0.00024853723404255314, "loss": 1.315, "step": 8340 }, { "epoch": 7.31, "learning_rate": 0.00024847074468085104, "loss": 1.3278, "step": 8350 }, { "epoch": 7.31, "learning_rate": 0.00024840425531914894, "loss": 1.3192, "step": 8360 }, { "epoch": 7.32, "learning_rate": 0.0002483377659574468, "loss": 1.3352, "step": 8370 }, { "epoch": 7.33, "learning_rate": 0.0002482712765957447, "loss": 1.3576, "step": 8380 }, { "epoch": 7.34, "learning_rate": 0.0002482047872340425, "loss": 1.2745, "step": 8390 }, { "epoch": 7.35, "learning_rate": 0.0002481382978723404, "loss": 1.3337, "step": 8400 }, { "epoch": 7.35, "eval_cer1": 0.38887951115762465, "eval_cer2": 0.37529122231337164, "eval_cer3": 0.34576935641947076, "eval_cer4": 0.3493029395666313, "eval_cer5": 0.3732484076433121, "eval_loss": 1.3718392848968506, "eval_runtime": 1175.6215, "eval_samples_per_second": 7.451, "step": 8400 }, { "epoch": 7.36, "learning_rate": 0.00024807180851063826, "loss": 1.3339, "step": 8410 }, { "epoch": 7.37, "learning_rate": 0.00024800531914893616, "loss": 1.2494, "step": 8420 }, { "epoch": 7.38, "learning_rate": 0.00024793882978723405, "loss": 1.2946, "step": 8430 }, { "epoch": 7.38, "learning_rate": 0.0002478723404255319, "loss": 1.3576, "step": 8440 }, { "epoch": 7.39, "learning_rate": 0.0002478058510638298, "loss": 1.4002, "step": 8450 }, { "epoch": 7.4, "learning_rate": 0.00024773936170212763, "loss": 1.3633, "step": 8460 }, { "epoch": 7.41, "learning_rate": 0.00024767287234042553, "loss": 1.4603, "step": 8470 }, { "epoch": 7.42, "learning_rate": 0.0002476063829787234, "loss": 1.4929, "step": 8480 }, { "epoch": 7.43, "learning_rate": 0.00024753989361702127, "loss": 1.2722, "step": 8490 }, { "epoch": 7.44, "learning_rate": 0.0002474734042553191, "loss": 1.394, "step": 8500 }, { "epoch": 7.45, "learning_rate": 0.000247406914893617, "loss": 1.4086, "step": 8510 }, { "epoch": 7.45, "learning_rate": 0.0002473404255319149, "loss": 1.4261, "step": 8520 }, { "epoch": 7.46, "learning_rate": 0.00024727393617021275, "loss": 1.4545, "step": 8530 }, { "epoch": 7.47, "learning_rate": 0.0002472074468085106, "loss": 1.4031, "step": 8540 }, { "epoch": 7.48, "learning_rate": 0.0002471409574468085, "loss": 1.286, "step": 8550 }, { "epoch": 7.49, "learning_rate": 0.00024707446808510633, "loss": 1.4251, "step": 8560 }, { "epoch": 7.5, "learning_rate": 0.00024700797872340423, "loss": 1.3404, "step": 8570 }, { "epoch": 7.51, "learning_rate": 0.0002469414893617021, "loss": 1.2848, "step": 8580 }, { "epoch": 7.52, "learning_rate": 0.00024687499999999997, "loss": 1.3044, "step": 8590 }, { "epoch": 7.52, "learning_rate": 0.00024680851063829787, "loss": 1.2883, "step": 8600 }, { "epoch": 7.53, "learning_rate": 0.0002467420212765957, "loss": 1.3309, "step": 8610 }, { "epoch": 7.54, "learning_rate": 0.0002466755319148936, "loss": 1.354, "step": 8620 }, { "epoch": 7.55, "learning_rate": 0.00024660904255319145, "loss": 1.2607, "step": 8630 }, { "epoch": 7.56, "learning_rate": 0.00024654255319148935, "loss": 1.3803, "step": 8640 }, { "epoch": 7.57, "learning_rate": 0.0002464760638297872, "loss": 1.3346, "step": 8650 }, { "epoch": 7.58, "learning_rate": 0.0002464095744680851, "loss": 1.268, "step": 8660 }, { "epoch": 7.59, "learning_rate": 0.00024634308510638293, "loss": 1.3056, "step": 8670 }, { "epoch": 7.59, "learning_rate": 0.0002462765957446808, "loss": 1.3987, "step": 8680 }, { "epoch": 7.6, "learning_rate": 0.0002462101063829787, "loss": 1.387, "step": 8690 }, { "epoch": 7.61, "learning_rate": 0.00024614361702127657, "loss": 1.2894, "step": 8700 }, { "epoch": 7.62, "learning_rate": 0.00024607712765957446, "loss": 1.4476, "step": 8710 }, { "epoch": 7.63, "learning_rate": 0.0002460106382978723, "loss": 1.3752, "step": 8720 }, { "epoch": 7.64, "learning_rate": 0.0002459441489361702, "loss": 1.3494, "step": 8730 }, { "epoch": 7.65, "learning_rate": 0.00024587765957446804, "loss": 1.3118, "step": 8740 }, { "epoch": 7.66, "learning_rate": 0.00024581117021276594, "loss": 1.4161, "step": 8750 }, { "epoch": 7.66, "learning_rate": 0.00024574468085106384, "loss": 1.3015, "step": 8760 }, { "epoch": 7.67, "learning_rate": 0.0002456781914893617, "loss": 1.3364, "step": 8770 }, { "epoch": 7.68, "learning_rate": 0.0002456117021276596, "loss": 1.3255, "step": 8780 }, { "epoch": 7.69, "learning_rate": 0.0002455452127659574, "loss": 1.3099, "step": 8790 }, { "epoch": 7.7, "learning_rate": 0.0002454787234042553, "loss": 1.3103, "step": 8800 }, { "epoch": 7.71, "learning_rate": 0.00024541223404255316, "loss": 1.3496, "step": 8810 }, { "epoch": 7.72, "learning_rate": 0.00024534574468085106, "loss": 1.33, "step": 8820 }, { "epoch": 7.72, "learning_rate": 0.0002452792553191489, "loss": 1.3052, "step": 8830 }, { "epoch": 7.73, "learning_rate": 0.0002452127659574468, "loss": 1.3099, "step": 8840 }, { "epoch": 7.74, "learning_rate": 0.0002451462765957447, "loss": 1.4074, "step": 8850 }, { "epoch": 7.75, "learning_rate": 0.00024507978723404254, "loss": 1.3578, "step": 8860 }, { "epoch": 7.76, "learning_rate": 0.00024501329787234043, "loss": 1.2521, "step": 8870 }, { "epoch": 7.77, "learning_rate": 0.0002449468085106383, "loss": 1.3433, "step": 8880 }, { "epoch": 7.78, "learning_rate": 0.0002448803191489361, "loss": 1.312, "step": 8890 }, { "epoch": 7.79, "learning_rate": 0.000244813829787234, "loss": 1.2177, "step": 8900 }, { "epoch": 7.79, "learning_rate": 0.00024474734042553186, "loss": 1.2942, "step": 8910 }, { "epoch": 7.8, "learning_rate": 0.00024468085106382976, "loss": 1.2828, "step": 8920 }, { "epoch": 7.81, "learning_rate": 0.0002446143617021276, "loss": 1.3104, "step": 8930 }, { "epoch": 7.82, "learning_rate": 0.0002445478723404255, "loss": 1.3595, "step": 8940 }, { "epoch": 7.83, "learning_rate": 0.0002444813829787234, "loss": 1.3107, "step": 8950 }, { "epoch": 7.84, "learning_rate": 0.00024441489361702124, "loss": 1.2957, "step": 8960 }, { "epoch": 7.85, "learning_rate": 0.00024434840425531913, "loss": 1.3843, "step": 8970 }, { "epoch": 7.86, "learning_rate": 0.000244281914893617, "loss": 1.3316, "step": 8980 }, { "epoch": 7.86, "learning_rate": 0.00024421542553191487, "loss": 1.2891, "step": 8990 }, { "epoch": 7.87, "learning_rate": 0.0002441489361702127, "loss": 1.2345, "step": 9000 }, { "epoch": 7.87, "eval_cer1": 0.3929982107288748, "eval_cer2": 0.3720754716981132, "eval_cer3": 0.3475661548513558, "eval_cer4": 0.34589008016999906, "eval_cer5": 0.3631422505307856, "eval_loss": 1.390445351600647, "eval_runtime": 1171.9823, "eval_samples_per_second": 7.475, "step": 9000 }, { "epoch": 7.88, "learning_rate": 0.0002440824468085106, "loss": 1.3212, "step": 9010 }, { "epoch": 7.89, "learning_rate": 0.00024401595744680848, "loss": 1.3952, "step": 9020 }, { "epoch": 7.9, "learning_rate": 0.00024394946808510635, "loss": 1.3807, "step": 9030 }, { "epoch": 7.91, "learning_rate": 0.00024388297872340422, "loss": 1.3553, "step": 9040 }, { "epoch": 7.92, "learning_rate": 0.0002438164893617021, "loss": 1.3572, "step": 9050 }, { "epoch": 7.93, "learning_rate": 0.00024375, "loss": 1.4607, "step": 9060 }, { "epoch": 7.93, "learning_rate": 0.00024368351063829786, "loss": 1.4211, "step": 9070 }, { "epoch": 7.94, "learning_rate": 0.00024361702127659573, "loss": 1.3748, "step": 9080 }, { "epoch": 7.95, "learning_rate": 0.0002435505319148936, "loss": 1.3082, "step": 9090 }, { "epoch": 7.96, "learning_rate": 0.00024348404255319147, "loss": 1.3752, "step": 9100 }, { "epoch": 7.97, "learning_rate": 0.00024341755319148934, "loss": 1.3839, "step": 9110 }, { "epoch": 7.98, "learning_rate": 0.0002433510638297872, "loss": 1.2621, "step": 9120 }, { "epoch": 7.99, "learning_rate": 0.0002432845744680851, "loss": 1.3621, "step": 9130 }, { "epoch": 8.0, "learning_rate": 0.00024321808510638297, "loss": 1.3575, "step": 9140 }, { "epoch": 8.01, "learning_rate": 0.00024315159574468084, "loss": 1.4397, "step": 9150 }, { "epoch": 8.01, "learning_rate": 0.00024308510638297871, "loss": 1.3972, "step": 9160 }, { "epoch": 8.02, "learning_rate": 0.00024301861702127658, "loss": 1.2121, "step": 9170 }, { "epoch": 8.03, "learning_rate": 0.00024295212765957445, "loss": 1.2367, "step": 9180 }, { "epoch": 8.04, "learning_rate": 0.00024288563829787232, "loss": 1.2321, "step": 9190 }, { "epoch": 8.05, "learning_rate": 0.0002428191489361702, "loss": 1.2093, "step": 9200 }, { "epoch": 8.06, "learning_rate": 0.0002427526595744681, "loss": 1.1656, "step": 9210 }, { "epoch": 8.07, "learning_rate": 0.00024268617021276596, "loss": 1.1619, "step": 9220 }, { "epoch": 8.08, "learning_rate": 0.00024261968085106383, "loss": 1.1992, "step": 9230 }, { "epoch": 8.08, "learning_rate": 0.00024255319148936167, "loss": 1.2673, "step": 9240 }, { "epoch": 8.09, "learning_rate": 0.00024248670212765954, "loss": 1.1719, "step": 9250 }, { "epoch": 8.1, "learning_rate": 0.0002424202127659574, "loss": 1.2526, "step": 9260 }, { "epoch": 8.11, "learning_rate": 0.00024235372340425528, "loss": 1.16, "step": 9270 }, { "epoch": 8.12, "learning_rate": 0.00024228723404255315, "loss": 1.2144, "step": 9280 }, { "epoch": 8.13, "learning_rate": 0.00024222074468085102, "loss": 1.0794, "step": 9290 }, { "epoch": 8.14, "learning_rate": 0.0002421542553191489, "loss": 1.2298, "step": 9300 }, { "epoch": 8.15, "learning_rate": 0.0002420877659574468, "loss": 1.1417, "step": 9310 }, { "epoch": 8.15, "learning_rate": 0.00024202127659574466, "loss": 1.2032, "step": 9320 }, { "epoch": 8.16, "learning_rate": 0.00024195478723404253, "loss": 1.2333, "step": 9330 }, { "epoch": 8.17, "learning_rate": 0.0002418882978723404, "loss": 1.2084, "step": 9340 }, { "epoch": 8.18, "learning_rate": 0.00024182180851063827, "loss": 1.321, "step": 9350 }, { "epoch": 8.19, "learning_rate": 0.00024175531914893614, "loss": 1.2493, "step": 9360 }, { "epoch": 8.2, "learning_rate": 0.000241688829787234, "loss": 1.1747, "step": 9370 }, { "epoch": 8.21, "learning_rate": 0.00024162234042553188, "loss": 1.2665, "step": 9380 }, { "epoch": 8.22, "learning_rate": 0.00024155585106382978, "loss": 1.1794, "step": 9390 }, { "epoch": 8.22, "learning_rate": 0.00024148936170212765, "loss": 1.2776, "step": 9400 }, { "epoch": 8.23, "learning_rate": 0.00024142287234042552, "loss": 1.1466, "step": 9410 }, { "epoch": 8.24, "learning_rate": 0.00024135638297872339, "loss": 1.178, "step": 9420 }, { "epoch": 8.25, "learning_rate": 0.00024128989361702125, "loss": 1.2074, "step": 9430 }, { "epoch": 8.26, "learning_rate": 0.00024122340425531912, "loss": 1.1793, "step": 9440 }, { "epoch": 8.27, "learning_rate": 0.000241156914893617, "loss": 1.2779, "step": 9450 }, { "epoch": 8.28, "learning_rate": 0.00024109042553191486, "loss": 1.2243, "step": 9460 }, { "epoch": 8.29, "learning_rate": 0.00024102393617021276, "loss": 1.1872, "step": 9470 }, { "epoch": 8.29, "learning_rate": 0.00024095744680851063, "loss": 1.2451, "step": 9480 }, { "epoch": 8.3, "learning_rate": 0.0002408909574468085, "loss": 1.2263, "step": 9490 }, { "epoch": 8.31, "learning_rate": 0.00024082446808510637, "loss": 1.2519, "step": 9500 }, { "epoch": 8.32, "learning_rate": 0.00024075797872340424, "loss": 1.187, "step": 9510 }, { "epoch": 8.33, "learning_rate": 0.0002406914893617021, "loss": 1.2833, "step": 9520 }, { "epoch": 8.34, "learning_rate": 0.00024062499999999998, "loss": 1.2394, "step": 9530 }, { "epoch": 8.35, "learning_rate": 0.00024055851063829785, "loss": 1.3018, "step": 9540 }, { "epoch": 8.36, "learning_rate": 0.00024049202127659575, "loss": 1.2954, "step": 9550 }, { "epoch": 8.36, "learning_rate": 0.00024042553191489362, "loss": 1.3384, "step": 9560 }, { "epoch": 8.37, "learning_rate": 0.0002403590425531915, "loss": 1.128, "step": 9570 }, { "epoch": 8.38, "learning_rate": 0.00024029255319148936, "loss": 1.3444, "step": 9580 }, { "epoch": 8.39, "learning_rate": 0.0002402260638297872, "loss": 1.2149, "step": 9590 }, { "epoch": 8.4, "learning_rate": 0.00024015957446808507, "loss": 1.2498, "step": 9600 }, { "epoch": 8.4, "eval_cer1": 0.37659093210897676, "eval_cer2": 0.35458572600492205, "eval_cer3": 0.3317216595883698, "eval_cer4": 0.32637882739302615, "eval_cer5": 0.34955414012738856, "eval_loss": 1.3191490173339844, "eval_runtime": 1193.5102, "eval_samples_per_second": 7.34, "step": 9600 }, { "epoch": 8.41, "learning_rate": 0.00024009308510638294, "loss": 1.1906, "step": 9610 }, { "epoch": 8.42, "learning_rate": 0.0002400265957446808, "loss": 1.1791, "step": 9620 }, { "epoch": 8.43, "learning_rate": 0.00023996010638297868, "loss": 1.1801, "step": 9630 }, { "epoch": 8.43, "learning_rate": 0.00023989361702127658, "loss": 1.0844, "step": 9640 }, { "epoch": 8.44, "learning_rate": 0.00023982712765957445, "loss": 1.1011, "step": 9650 }, { "epoch": 8.45, "learning_rate": 0.00023976063829787232, "loss": 1.2269, "step": 9660 }, { "epoch": 8.46, "learning_rate": 0.00023969414893617019, "loss": 1.3393, "step": 9670 }, { "epoch": 8.47, "learning_rate": 0.00023962765957446806, "loss": 1.2441, "step": 9680 }, { "epoch": 8.48, "learning_rate": 0.00023956117021276593, "loss": 1.1861, "step": 9690 }, { "epoch": 8.49, "learning_rate": 0.0002394946808510638, "loss": 1.2496, "step": 9700 }, { "epoch": 8.49, "learning_rate": 0.00023942819148936167, "loss": 1.2698, "step": 9710 }, { "epoch": 8.5, "learning_rate": 0.00023936170212765956, "loss": 1.2403, "step": 9720 }, { "epoch": 8.51, "learning_rate": 0.00023929521276595743, "loss": 1.2485, "step": 9730 }, { "epoch": 8.52, "learning_rate": 0.0002392287234042553, "loss": 1.2411, "step": 9740 }, { "epoch": 8.53, "learning_rate": 0.00023916223404255317, "loss": 1.1502, "step": 9750 }, { "epoch": 8.54, "learning_rate": 0.00023909574468085104, "loss": 1.1764, "step": 9760 }, { "epoch": 8.55, "learning_rate": 0.0002390292553191489, "loss": 1.3337, "step": 9770 }, { "epoch": 8.56, "learning_rate": 0.00023896276595744678, "loss": 1.2478, "step": 9780 }, { "epoch": 8.56, "learning_rate": 0.00023889627659574465, "loss": 1.1504, "step": 9790 }, { "epoch": 8.57, "learning_rate": 0.00023882978723404255, "loss": 1.3058, "step": 9800 }, { "epoch": 8.58, "learning_rate": 0.00023876329787234042, "loss": 1.2611, "step": 9810 }, { "epoch": 8.59, "learning_rate": 0.0002386968085106383, "loss": 1.2591, "step": 9820 }, { "epoch": 8.6, "learning_rate": 0.00023863031914893616, "loss": 1.2282, "step": 9830 }, { "epoch": 8.61, "learning_rate": 0.00023856382978723403, "loss": 1.1096, "step": 9840 }, { "epoch": 8.62, "learning_rate": 0.0002384973404255319, "loss": 1.1756, "step": 9850 }, { "epoch": 8.63, "learning_rate": 0.00023843085106382977, "loss": 1.2609, "step": 9860 }, { "epoch": 8.63, "learning_rate": 0.00023836436170212764, "loss": 1.2721, "step": 9870 }, { "epoch": 8.64, "learning_rate": 0.00023829787234042553, "loss": 1.1872, "step": 9880 }, { "epoch": 8.65, "learning_rate": 0.0002382313829787234, "loss": 1.0962, "step": 9890 }, { "epoch": 8.66, "learning_rate": 0.00023816489361702127, "loss": 1.1847, "step": 9900 }, { "epoch": 8.67, "learning_rate": 0.00023809840425531914, "loss": 1.1758, "step": 9910 }, { "epoch": 8.68, "learning_rate": 0.000238031914893617, "loss": 1.2663, "step": 9920 }, { "epoch": 8.69, "learning_rate": 0.00023796542553191488, "loss": 1.1951, "step": 9930 }, { "epoch": 8.7, "learning_rate": 0.00023789893617021275, "loss": 1.2811, "step": 9940 }, { "epoch": 8.7, "learning_rate": 0.0002378324468085106, "loss": 1.2601, "step": 9950 }, { "epoch": 8.71, "learning_rate": 0.00023776595744680847, "loss": 1.2744, "step": 9960 }, { "epoch": 8.72, "learning_rate": 0.00023769946808510634, "loss": 1.1523, "step": 9970 }, { "epoch": 8.73, "learning_rate": 0.00023763297872340423, "loss": 1.2527, "step": 9980 }, { "epoch": 8.74, "learning_rate": 0.0002375664893617021, "loss": 1.1409, "step": 9990 }, { "epoch": 8.75, "learning_rate": 0.00023749999999999997, "loss": 1.212, "step": 10000 }, { "epoch": 8.76, "learning_rate": 0.00023743351063829784, "loss": 1.1861, "step": 10010 }, { "epoch": 8.77, "learning_rate": 0.0002373670212765957, "loss": 1.3995, "step": 10020 }, { "epoch": 8.77, "learning_rate": 0.00023730053191489358, "loss": 1.289, "step": 10030 }, { "epoch": 8.78, "learning_rate": 0.00023723404255319145, "loss": 1.2537, "step": 10040 }, { "epoch": 8.79, "learning_rate": 0.00023716755319148932, "loss": 1.2301, "step": 10050 }, { "epoch": 8.8, "learning_rate": 0.00023710106382978722, "loss": 1.2958, "step": 10060 }, { "epoch": 8.81, "learning_rate": 0.0002370345744680851, "loss": 1.2844, "step": 10070 }, { "epoch": 8.82, "learning_rate": 0.00023696808510638296, "loss": 1.3409, "step": 10080 }, { "epoch": 8.83, "learning_rate": 0.00023690159574468083, "loss": 1.2349, "step": 10090 }, { "epoch": 8.84, "learning_rate": 0.0002368351063829787, "loss": 1.1707, "step": 10100 }, { "epoch": 8.84, "learning_rate": 0.00023676861702127657, "loss": 1.1833, "step": 10110 }, { "epoch": 8.85, "learning_rate": 0.00023670212765957444, "loss": 1.1829, "step": 10120 }, { "epoch": 8.86, "learning_rate": 0.0002366356382978723, "loss": 1.1542, "step": 10130 }, { "epoch": 8.87, "learning_rate": 0.0002365691489361702, "loss": 1.1917, "step": 10140 }, { "epoch": 8.88, "learning_rate": 0.00023650265957446807, "loss": 1.1909, "step": 10150 }, { "epoch": 8.89, "learning_rate": 0.00023643617021276594, "loss": 1.2101, "step": 10160 }, { "epoch": 8.9, "learning_rate": 0.00023636968085106381, "loss": 1.1886, "step": 10170 }, { "epoch": 8.91, "learning_rate": 0.00023630319148936168, "loss": 1.2406, "step": 10180 }, { "epoch": 8.91, "learning_rate": 0.00023623670212765955, "loss": 1.2331, "step": 10190 }, { "epoch": 8.92, "learning_rate": 0.00023617021276595742, "loss": 1.2395, "step": 10200 }, { "epoch": 8.92, "eval_cer1": 0.36869113129198877, "eval_cer2": 0.34756357670221494, "eval_cer3": 0.32123489055864096, "eval_cer4": 0.3214205222318813, "eval_cer5": 0.3431847133757962, "eval_loss": 1.2718257904052734, "eval_runtime": 1199.8991, "eval_samples_per_second": 7.301, "step": 10200 }, { "epoch": 8.93, "learning_rate": 0.0002361037234042553, "loss": 1.1883, "step": 10210 }, { "epoch": 8.94, "learning_rate": 0.0002360372340425532, "loss": 1.1375, "step": 10220 }, { "epoch": 8.95, "learning_rate": 0.00023597074468085106, "loss": 1.1853, "step": 10230 }, { "epoch": 8.96, "learning_rate": 0.00023590425531914893, "loss": 1.1885, "step": 10240 }, { "epoch": 8.97, "learning_rate": 0.0002358377659574468, "loss": 1.3161, "step": 10250 }, { "epoch": 8.98, "learning_rate": 0.00023577127659574467, "loss": 1.1837, "step": 10260 }, { "epoch": 8.98, "learning_rate": 0.00023570478723404254, "loss": 1.2347, "step": 10270 }, { "epoch": 8.99, "learning_rate": 0.0002356382978723404, "loss": 1.228, "step": 10280 }, { "epoch": 9.0, "learning_rate": 0.0002355718085106383, "loss": 1.1579, "step": 10290 }, { "epoch": 9.01, "learning_rate": 0.00023550531914893612, "loss": 1.0994, "step": 10300 }, { "epoch": 9.02, "learning_rate": 0.00023543882978723402, "loss": 1.1842, "step": 10310 }, { "epoch": 9.03, "learning_rate": 0.0002353723404255319, "loss": 1.1533, "step": 10320 }, { "epoch": 9.04, "learning_rate": 0.00023530585106382976, "loss": 1.0737, "step": 10330 }, { "epoch": 9.05, "learning_rate": 0.00023523936170212763, "loss": 1.0845, "step": 10340 }, { "epoch": 9.06, "learning_rate": 0.0002351728723404255, "loss": 1.1318, "step": 10350 }, { "epoch": 9.06, "learning_rate": 0.00023510638297872337, "loss": 1.0848, "step": 10360 }, { "epoch": 9.07, "learning_rate": 0.00023503989361702124, "loss": 1.2255, "step": 10370 }, { "epoch": 9.08, "learning_rate": 0.0002349734042553191, "loss": 1.1136, "step": 10380 }, { "epoch": 9.09, "learning_rate": 0.000234906914893617, "loss": 1.1457, "step": 10390 }, { "epoch": 9.1, "learning_rate": 0.00023484042553191488, "loss": 1.1321, "step": 10400 }, { "epoch": 9.11, "learning_rate": 0.00023477393617021275, "loss": 1.0883, "step": 10410 }, { "epoch": 9.12, "learning_rate": 0.00023470744680851061, "loss": 1.1514, "step": 10420 }, { "epoch": 9.13, "learning_rate": 0.00023464095744680848, "loss": 1.1829, "step": 10430 }, { "epoch": 9.13, "learning_rate": 0.00023457446808510635, "loss": 1.1052, "step": 10440 }, { "epoch": 9.14, "learning_rate": 0.00023450797872340422, "loss": 1.1865, "step": 10450 }, { "epoch": 9.15, "learning_rate": 0.0002344414893617021, "loss": 1.2152, "step": 10460 }, { "epoch": 9.16, "learning_rate": 0.000234375, "loss": 1.2372, "step": 10470 }, { "epoch": 9.17, "learning_rate": 0.00023430851063829786, "loss": 1.0849, "step": 10480 }, { "epoch": 9.18, "learning_rate": 0.00023424202127659573, "loss": 1.1469, "step": 10490 }, { "epoch": 9.19, "learning_rate": 0.0002341755319148936, "loss": 1.0366, "step": 10500 }, { "epoch": 9.2, "learning_rate": 0.00023410904255319147, "loss": 1.0889, "step": 10510 }, { "epoch": 9.2, "learning_rate": 0.00023404255319148934, "loss": 1.1684, "step": 10520 }, { "epoch": 9.21, "learning_rate": 0.0002339760638297872, "loss": 1.0826, "step": 10530 }, { "epoch": 9.22, "learning_rate": 0.00023390957446808508, "loss": 1.0931, "step": 10540 }, { "epoch": 9.23, "learning_rate": 0.00023384308510638298, "loss": 1.0841, "step": 10550 }, { "epoch": 9.24, "learning_rate": 0.00023377659574468085, "loss": 0.952, "step": 10560 }, { "epoch": 9.25, "learning_rate": 0.00023371010638297872, "loss": 1.2191, "step": 10570 }, { "epoch": 9.26, "learning_rate": 0.0002336436170212766, "loss": 1.0786, "step": 10580 }, { "epoch": 9.26, "learning_rate": 0.00023357712765957446, "loss": 1.1658, "step": 10590 }, { "epoch": 9.27, "learning_rate": 0.00023351063829787233, "loss": 1.1043, "step": 10600 }, { "epoch": 9.28, "learning_rate": 0.0002334441489361702, "loss": 1.1224, "step": 10610 }, { "epoch": 9.29, "learning_rate": 0.00023337765957446807, "loss": 1.1027, "step": 10620 }, { "epoch": 9.3, "learning_rate": 0.00023331117021276596, "loss": 1.1174, "step": 10630 }, { "epoch": 9.31, "learning_rate": 0.00023324468085106383, "loss": 1.2064, "step": 10640 }, { "epoch": 9.32, "learning_rate": 0.00023317819148936168, "loss": 1.12, "step": 10650 }, { "epoch": 9.33, "learning_rate": 0.00023311170212765955, "loss": 0.9724, "step": 10660 }, { "epoch": 9.33, "learning_rate": 0.00023304521276595742, "loss": 1.2246, "step": 10670 }, { "epoch": 9.34, "learning_rate": 0.00023297872340425529, "loss": 1.1601, "step": 10680 }, { "epoch": 9.35, "learning_rate": 0.00023291223404255316, "loss": 0.9902, "step": 10690 }, { "epoch": 9.36, "learning_rate": 0.00023284574468085103, "loss": 1.0664, "step": 10700 }, { "epoch": 9.37, "learning_rate": 0.0002327792553191489, "loss": 1.0925, "step": 10710 }, { "epoch": 9.38, "learning_rate": 0.00023271276595744676, "loss": 1.132, "step": 10720 }, { "epoch": 9.39, "learning_rate": 0.00023264627659574466, "loss": 1.0181, "step": 10730 }, { "epoch": 9.4, "learning_rate": 0.00023257978723404253, "loss": 1.1496, "step": 10740 }, { "epoch": 9.4, "learning_rate": 0.0002325132978723404, "loss": 1.2251, "step": 10750 }, { "epoch": 9.41, "learning_rate": 0.00023244680851063827, "loss": 1.0278, "step": 10760 }, { "epoch": 9.42, "learning_rate": 0.00023238031914893614, "loss": 1.2766, "step": 10770 }, { "epoch": 9.43, "learning_rate": 0.000232313829787234, "loss": 1.0254, "step": 10780 }, { "epoch": 9.44, "learning_rate": 0.00023224734042553188, "loss": 1.0394, "step": 10790 }, { "epoch": 9.45, "learning_rate": 0.00023218085106382978, "loss": 1.0791, "step": 10800 }, { "epoch": 9.45, "eval_cer1": 0.3521488133418858, "eval_cer2": 0.32971287940935196, "eval_cer3": 0.3070565174779484, "eval_cer4": 0.30390547023407066, "eval_cer5": 0.3267940552016985, "eval_loss": 1.2287014722824097, "eval_runtime": 1206.6254, "eval_samples_per_second": 7.26, "step": 10800 }, { "epoch": 9.46, "learning_rate": 0.00023211436170212765, "loss": 1.033, "step": 10810 }, { "epoch": 9.47, "learning_rate": 0.00023204787234042552, "loss": 1.1715, "step": 10820 }, { "epoch": 9.47, "learning_rate": 0.0002319813829787234, "loss": 1.1254, "step": 10830 }, { "epoch": 9.48, "learning_rate": 0.00023191489361702126, "loss": 1.0067, "step": 10840 }, { "epoch": 9.49, "learning_rate": 0.00023184840425531913, "loss": 1.1103, "step": 10850 }, { "epoch": 9.5, "learning_rate": 0.000231781914893617, "loss": 1.0371, "step": 10860 }, { "epoch": 9.51, "learning_rate": 0.00023171542553191487, "loss": 1.1243, "step": 10870 }, { "epoch": 9.52, "learning_rate": 0.00023164893617021276, "loss": 1.05, "step": 10880 }, { "epoch": 9.53, "learning_rate": 0.00023158244680851063, "loss": 1.139, "step": 10890 }, { "epoch": 9.54, "learning_rate": 0.0002315159574468085, "loss": 1.0707, "step": 10900 }, { "epoch": 9.54, "learning_rate": 0.00023144946808510637, "loss": 0.9969, "step": 10910 }, { "epoch": 9.55, "learning_rate": 0.00023138297872340424, "loss": 1.1345, "step": 10920 }, { "epoch": 9.56, "learning_rate": 0.0002313164893617021, "loss": 1.1105, "step": 10930 }, { "epoch": 9.57, "learning_rate": 0.00023124999999999998, "loss": 1.1473, "step": 10940 }, { "epoch": 9.58, "learning_rate": 0.00023118351063829785, "loss": 1.2089, "step": 10950 }, { "epoch": 9.59, "learning_rate": 0.00023111702127659575, "loss": 1.0419, "step": 10960 }, { "epoch": 9.6, "learning_rate": 0.00023105053191489362, "loss": 1.2269, "step": 10970 }, { "epoch": 9.61, "learning_rate": 0.0002309840425531915, "loss": 1.1865, "step": 10980 }, { "epoch": 9.61, "learning_rate": 0.00023091755319148936, "loss": 1.0645, "step": 10990 }, { "epoch": 9.62, "learning_rate": 0.0002308510638297872, "loss": 1.1547, "step": 11000 }, { "epoch": 9.63, "learning_rate": 0.00023078457446808507, "loss": 1.1285, "step": 11010 }, { "epoch": 9.64, "learning_rate": 0.00023071808510638294, "loss": 1.1741, "step": 11020 }, { "epoch": 9.65, "learning_rate": 0.0002306515957446808, "loss": 1.058, "step": 11030 }, { "epoch": 9.66, "learning_rate": 0.00023058510638297868, "loss": 1.1551, "step": 11040 }, { "epoch": 9.67, "learning_rate": 0.00023051861702127655, "loss": 1.1432, "step": 11050 }, { "epoch": 9.68, "learning_rate": 0.00023045212765957445, "loss": 1.0286, "step": 11060 }, { "epoch": 9.68, "learning_rate": 0.00023038563829787232, "loss": 1.1216, "step": 11070 }, { "epoch": 9.69, "learning_rate": 0.0002303191489361702, "loss": 1.036, "step": 11080 }, { "epoch": 9.7, "learning_rate": 0.00023025265957446806, "loss": 1.1191, "step": 11090 }, { "epoch": 9.71, "learning_rate": 0.00023018617021276593, "loss": 1.154, "step": 11100 }, { "epoch": 9.72, "learning_rate": 0.0002301196808510638, "loss": 1.1162, "step": 11110 }, { "epoch": 9.73, "learning_rate": 0.00023005319148936167, "loss": 1.1027, "step": 11120 }, { "epoch": 9.74, "learning_rate": 0.00022998670212765954, "loss": 1.0841, "step": 11130 }, { "epoch": 9.75, "learning_rate": 0.00022992021276595743, "loss": 1.1753, "step": 11140 }, { "epoch": 9.75, "learning_rate": 0.0002298537234042553, "loss": 1.2025, "step": 11150 }, { "epoch": 9.76, "learning_rate": 0.00022978723404255317, "loss": 1.0222, "step": 11160 }, { "epoch": 9.77, "learning_rate": 0.00022972074468085104, "loss": 1.106, "step": 11170 }, { "epoch": 9.78, "learning_rate": 0.00022965425531914891, "loss": 1.1059, "step": 11180 }, { "epoch": 9.79, "learning_rate": 0.00022958776595744678, "loss": 1.0897, "step": 11190 }, { "epoch": 9.8, "learning_rate": 0.00022952127659574465, "loss": 1.0831, "step": 11200 }, { "epoch": 9.81, "learning_rate": 0.00022945478723404252, "loss": 1.0648, "step": 11210 }, { "epoch": 9.82, "learning_rate": 0.00022938829787234042, "loss": 1.0741, "step": 11220 }, { "epoch": 9.82, "learning_rate": 0.0002293218085106383, "loss": 1.0252, "step": 11230 }, { "epoch": 9.83, "learning_rate": 0.00022925531914893616, "loss": 0.9872, "step": 11240 }, { "epoch": 9.84, "learning_rate": 0.00022918882978723403, "loss": 1.1169, "step": 11250 }, { "epoch": 9.85, "learning_rate": 0.0002291223404255319, "loss": 1.0733, "step": 11260 }, { "epoch": 9.86, "learning_rate": 0.00022905585106382977, "loss": 1.1455, "step": 11270 }, { "epoch": 9.87, "learning_rate": 0.00022898936170212764, "loss": 1.0342, "step": 11280 }, { "epoch": 9.88, "learning_rate": 0.0002289228723404255, "loss": 1.1679, "step": 11290 }, { "epoch": 9.89, "learning_rate": 0.0002288563829787234, "loss": 0.9948, "step": 11300 }, { "epoch": 9.89, "learning_rate": 0.00022878989361702128, "loss": 1.0771, "step": 11310 }, { "epoch": 9.9, "learning_rate": 0.00022872340425531915, "loss": 1.1653, "step": 11320 }, { "epoch": 9.91, "learning_rate": 0.00022865691489361702, "loss": 1.0846, "step": 11330 }, { "epoch": 9.92, "learning_rate": 0.00022859042553191489, "loss": 1.0432, "step": 11340 }, { "epoch": 9.93, "learning_rate": 0.00022852393617021276, "loss": 1.1111, "step": 11350 }, { "epoch": 9.94, "learning_rate": 0.0002284574468085106, "loss": 1.1472, "step": 11360 }, { "epoch": 9.95, "learning_rate": 0.00022839095744680847, "loss": 1.1433, "step": 11370 }, { "epoch": 9.96, "learning_rate": 0.00022832446808510634, "loss": 1.0692, "step": 11380 }, { "epoch": 9.96, "learning_rate": 0.00022825797872340424, "loss": 1.1246, "step": 11390 }, { "epoch": 9.97, "learning_rate": 0.0002281914893617021, "loss": 1.162, "step": 11400 }, { "epoch": 9.97, "eval_cer1": 0.34951554640288984, "eval_cer2": 0.3284659557013946, "eval_cer3": 0.30692584122835675, "eval_cer4": 0.30857400431436943, "eval_cer5": 0.3260297239915074, "eval_loss": 1.2146661281585693, "eval_runtime": 1236.963, "eval_samples_per_second": 7.082, "step": 11400 }, { "epoch": 9.98, "learning_rate": 0.00022812499999999997, "loss": 1.1267, "step": 11410 }, { "epoch": 9.99, "learning_rate": 0.00022805851063829784, "loss": 1.0739, "step": 11420 }, { "epoch": 10.0, "learning_rate": 0.00022799202127659571, "loss": 1.048, "step": 11430 }, { "epoch": 10.01, "learning_rate": 0.00022792553191489358, "loss": 1.0462, "step": 11440 }, { "epoch": 10.02, "learning_rate": 0.00022785904255319145, "loss": 1.0517, "step": 11450 }, { "epoch": 10.03, "learning_rate": 0.00022779255319148932, "loss": 1.0349, "step": 11460 }, { "epoch": 10.03, "learning_rate": 0.00022772606382978722, "loss": 1.0066, "step": 11470 }, { "epoch": 10.04, "learning_rate": 0.0002276595744680851, "loss": 0.8941, "step": 11480 }, { "epoch": 10.05, "learning_rate": 0.00022759308510638296, "loss": 1.1008, "step": 11490 }, { "epoch": 10.06, "learning_rate": 0.00022752659574468083, "loss": 0.981, "step": 11500 }, { "epoch": 10.07, "learning_rate": 0.0002274601063829787, "loss": 1.1296, "step": 11510 }, { "epoch": 10.08, "learning_rate": 0.00022739361702127657, "loss": 1.1483, "step": 11520 }, { "epoch": 10.09, "learning_rate": 0.00022732712765957444, "loss": 1.0202, "step": 11530 }, { "epoch": 10.1, "learning_rate": 0.0002272606382978723, "loss": 1.032, "step": 11540 }, { "epoch": 10.1, "learning_rate": 0.0002271941489361702, "loss": 0.9136, "step": 11550 }, { "epoch": 10.11, "learning_rate": 0.00022712765957446808, "loss": 0.9679, "step": 11560 }, { "epoch": 10.12, "learning_rate": 0.00022706117021276595, "loss": 0.9819, "step": 11570 }, { "epoch": 10.13, "learning_rate": 0.00022699468085106382, "loss": 0.9641, "step": 11580 }, { "epoch": 10.14, "learning_rate": 0.0002269281914893617, "loss": 1.0434, "step": 11590 }, { "epoch": 10.15, "learning_rate": 0.00022686170212765956, "loss": 1.0508, "step": 11600 }, { "epoch": 10.16, "learning_rate": 0.00022679521276595743, "loss": 1.0003, "step": 11610 }, { "epoch": 10.17, "learning_rate": 0.0002267287234042553, "loss": 0.9639, "step": 11620 }, { "epoch": 10.17, "learning_rate": 0.0002266622340425532, "loss": 0.9514, "step": 11630 }, { "epoch": 10.18, "learning_rate": 0.00022659574468085106, "loss": 1.1016, "step": 11640 }, { "epoch": 10.19, "learning_rate": 0.00022652925531914893, "loss": 0.972, "step": 11650 }, { "epoch": 10.2, "learning_rate": 0.0002264627659574468, "loss": 0.9656, "step": 11660 }, { "epoch": 10.21, "learning_rate": 0.00022639627659574467, "loss": 1.0106, "step": 11670 }, { "epoch": 10.22, "learning_rate": 0.00022632978723404254, "loss": 0.981, "step": 11680 }, { "epoch": 10.23, "learning_rate": 0.0002262632978723404, "loss": 1.1418, "step": 11690 }, { "epoch": 10.24, "learning_rate": 0.00022619680851063828, "loss": 1.0644, "step": 11700 }, { "epoch": 10.24, "learning_rate": 0.00022613031914893612, "loss": 1.1231, "step": 11710 }, { "epoch": 10.25, "learning_rate": 0.000226063829787234, "loss": 1.0099, "step": 11720 }, { "epoch": 10.26, "learning_rate": 0.0002259973404255319, "loss": 0.8917, "step": 11730 }, { "epoch": 10.27, "learning_rate": 0.00022593085106382976, "loss": 1.14, "step": 11740 }, { "epoch": 10.28, "learning_rate": 0.00022586436170212763, "loss": 1.0454, "step": 11750 }, { "epoch": 10.29, "learning_rate": 0.0002257978723404255, "loss": 1.0509, "step": 11760 }, { "epoch": 10.3, "learning_rate": 0.00022573138297872337, "loss": 1.0003, "step": 11770 }, { "epoch": 10.31, "learning_rate": 0.00022566489361702124, "loss": 1.08, "step": 11780 }, { "epoch": 10.31, "learning_rate": 0.0002255984042553191, "loss": 1.1448, "step": 11790 }, { "epoch": 10.32, "learning_rate": 0.00022553191489361698, "loss": 0.9426, "step": 11800 }, { "epoch": 10.33, "learning_rate": 0.00022546542553191488, "loss": 1.0851, "step": 11810 }, { "epoch": 10.34, "learning_rate": 0.00022539893617021275, "loss": 1.0683, "step": 11820 }, { "epoch": 10.35, "learning_rate": 0.00022533244680851062, "loss": 0.8644, "step": 11830 }, { "epoch": 10.36, "learning_rate": 0.0002252659574468085, "loss": 1.1223, "step": 11840 }, { "epoch": 10.37, "learning_rate": 0.00022519946808510636, "loss": 0.9389, "step": 11850 }, { "epoch": 10.38, "learning_rate": 0.00022513297872340423, "loss": 0.9479, "step": 11860 }, { "epoch": 10.38, "learning_rate": 0.0002250664893617021, "loss": 1.0162, "step": 11870 }, { "epoch": 10.39, "learning_rate": 0.000225, "loss": 0.978, "step": 11880 }, { "epoch": 10.4, "learning_rate": 0.00022493351063829786, "loss": 1.0961, "step": 11890 }, { "epoch": 10.41, "learning_rate": 0.00022486702127659573, "loss": 1.0298, "step": 11900 }, { "epoch": 10.42, "learning_rate": 0.0002248005319148936, "loss": 1.0724, "step": 11910 }, { "epoch": 10.43, "learning_rate": 0.00022473404255319147, "loss": 0.9891, "step": 11920 }, { "epoch": 10.44, "learning_rate": 0.00022466755319148934, "loss": 0.9855, "step": 11930 }, { "epoch": 10.45, "learning_rate": 0.0002246010638297872, "loss": 1.0725, "step": 11940 }, { "epoch": 10.45, "learning_rate": 0.00022453457446808508, "loss": 1.0751, "step": 11950 }, { "epoch": 10.46, "learning_rate": 0.00022446808510638298, "loss": 1.1249, "step": 11960 }, { "epoch": 10.47, "learning_rate": 0.00022440159574468085, "loss": 0.994, "step": 11970 }, { "epoch": 10.48, "learning_rate": 0.00022433510638297872, "loss": 0.922, "step": 11980 }, { "epoch": 10.49, "learning_rate": 0.0002242686170212766, "loss": 1.0469, "step": 11990 }, { "epoch": 10.5, "learning_rate": 0.00022420212765957446, "loss": 0.9983, "step": 12000 }, { "epoch": 10.5, "eval_cer1": 0.34532932716653725, "eval_cer2": 0.32465955701394583, "eval_cer3": 0.29807252531852335, "eval_cer4": 0.2995589040213787, "eval_cer5": 0.32772823779193205, "eval_loss": 1.1875460147857666, "eval_runtime": 1215.0698, "eval_samples_per_second": 7.209, "step": 12000 }, { "epoch": 10.51, "learning_rate": 0.00022413563829787233, "loss": 0.9505, "step": 12010 }, { "epoch": 10.52, "learning_rate": 0.0002240691489361702, "loss": 0.9667, "step": 12020 }, { "epoch": 10.52, "learning_rate": 0.00022400265957446807, "loss": 1.0264, "step": 12030 }, { "epoch": 10.53, "learning_rate": 0.00022393617021276597, "loss": 1.1302, "step": 12040 }, { "epoch": 10.54, "learning_rate": 0.00022386968085106384, "loss": 0.9563, "step": 12050 }, { "epoch": 10.55, "learning_rate": 0.00022380319148936168, "loss": 0.9864, "step": 12060 }, { "epoch": 10.56, "learning_rate": 0.00022373670212765955, "loss": 1.121, "step": 12070 }, { "epoch": 10.57, "learning_rate": 0.00022367021276595742, "loss": 1.0833, "step": 12080 }, { "epoch": 10.58, "learning_rate": 0.0002236037234042553, "loss": 1.2299, "step": 12090 }, { "epoch": 10.59, "learning_rate": 0.00022353723404255316, "loss": 1.0113, "step": 12100 }, { "epoch": 10.59, "learning_rate": 0.00022347074468085103, "loss": 1.1109, "step": 12110 }, { "epoch": 10.6, "learning_rate": 0.0002234042553191489, "loss": 1.1039, "step": 12120 }, { "epoch": 10.61, "learning_rate": 0.00022333776595744677, "loss": 1.0017, "step": 12130 }, { "epoch": 10.62, "learning_rate": 0.00022327127659574466, "loss": 1.1029, "step": 12140 }, { "epoch": 10.63, "learning_rate": 0.00022320478723404253, "loss": 1.0485, "step": 12150 }, { "epoch": 10.64, "learning_rate": 0.0002231382978723404, "loss": 1.0727, "step": 12160 }, { "epoch": 10.65, "learning_rate": 0.00022307180851063827, "loss": 0.9745, "step": 12170 }, { "epoch": 10.66, "learning_rate": 0.00022300531914893614, "loss": 0.9393, "step": 12180 }, { "epoch": 10.66, "learning_rate": 0.00022293882978723401, "loss": 1.1023, "step": 12190 }, { "epoch": 10.67, "learning_rate": 0.00022287234042553188, "loss": 1.0088, "step": 12200 }, { "epoch": 10.68, "learning_rate": 0.00022280585106382975, "loss": 1.0792, "step": 12210 }, { "epoch": 10.69, "learning_rate": 0.00022273936170212765, "loss": 0.9774, "step": 12220 }, { "epoch": 10.7, "learning_rate": 0.00022267287234042552, "loss": 0.9764, "step": 12230 }, { "epoch": 10.71, "learning_rate": 0.0002226063829787234, "loss": 1.1118, "step": 12240 }, { "epoch": 10.72, "learning_rate": 0.00022253989361702126, "loss": 1.0684, "step": 12250 }, { "epoch": 10.73, "learning_rate": 0.00022247340425531913, "loss": 1.0418, "step": 12260 }, { "epoch": 10.73, "learning_rate": 0.000222406914893617, "loss": 1.0294, "step": 12270 }, { "epoch": 10.74, "learning_rate": 0.00022234042553191487, "loss": 0.885, "step": 12280 }, { "epoch": 10.75, "learning_rate": 0.00022227393617021274, "loss": 1.1575, "step": 12290 }, { "epoch": 10.76, "learning_rate": 0.00022220744680851064, "loss": 1.0174, "step": 12300 }, { "epoch": 10.77, "learning_rate": 0.0002221409574468085, "loss": 1.118, "step": 12310 }, { "epoch": 10.78, "learning_rate": 0.00022207446808510638, "loss": 1.0181, "step": 12320 }, { "epoch": 10.79, "learning_rate": 0.00022200797872340425, "loss": 1.0603, "step": 12330 }, { "epoch": 10.8, "learning_rate": 0.00022194148936170212, "loss": 1.0863, "step": 12340 }, { "epoch": 10.8, "learning_rate": 0.00022187499999999999, "loss": 1.0648, "step": 12350 }, { "epoch": 10.81, "learning_rate": 0.00022180851063829786, "loss": 1.0294, "step": 12360 }, { "epoch": 10.82, "learning_rate": 0.00022174202127659573, "loss": 1.0943, "step": 12370 }, { "epoch": 10.83, "learning_rate": 0.00022167553191489362, "loss": 1.0535, "step": 12380 }, { "epoch": 10.84, "learning_rate": 0.0002216090425531915, "loss": 1.0631, "step": 12390 }, { "epoch": 10.85, "learning_rate": 0.00022154255319148936, "loss": 0.9972, "step": 12400 }, { "epoch": 10.86, "learning_rate": 0.0002214760638297872, "loss": 1.1037, "step": 12410 }, { "epoch": 10.87, "learning_rate": 0.00022140957446808507, "loss": 1.0636, "step": 12420 }, { "epoch": 10.87, "learning_rate": 0.00022134308510638294, "loss": 0.9962, "step": 12430 }, { "epoch": 10.88, "learning_rate": 0.00022127659574468081, "loss": 1.0584, "step": 12440 }, { "epoch": 10.89, "learning_rate": 0.00022121010638297868, "loss": 0.9453, "step": 12450 }, { "epoch": 10.9, "learning_rate": 0.00022114361702127655, "loss": 1.006, "step": 12460 }, { "epoch": 10.91, "learning_rate": 0.00022107712765957445, "loss": 1.0236, "step": 12470 }, { "epoch": 10.92, "learning_rate": 0.00022101063829787232, "loss": 0.982, "step": 12480 }, { "epoch": 10.93, "learning_rate": 0.0002209441489361702, "loss": 1.1386, "step": 12490 }, { "epoch": 10.94, "learning_rate": 0.00022087765957446806, "loss": 1.0092, "step": 12500 }, { "epoch": 10.94, "learning_rate": 0.00022081117021276593, "loss": 1.0556, "step": 12510 }, { "epoch": 10.95, "learning_rate": 0.0002207446808510638, "loss": 1.0071, "step": 12520 }, { "epoch": 10.96, "learning_rate": 0.00022067819148936167, "loss": 0.9263, "step": 12530 }, { "epoch": 10.97, "learning_rate": 0.00022061170212765954, "loss": 1.0693, "step": 12540 }, { "epoch": 10.98, "learning_rate": 0.00022054521276595744, "loss": 0.9197, "step": 12550 }, { "epoch": 10.99, "learning_rate": 0.0002204787234042553, "loss": 1.0301, "step": 12560 }, { "epoch": 11.0, "learning_rate": 0.00022041223404255318, "loss": 0.9672, "step": 12570 }, { "epoch": 11.01, "learning_rate": 0.00022034574468085105, "loss": 1.1755, "step": 12580 }, { "epoch": 11.01, "learning_rate": 0.00022027925531914892, "loss": 0.88, "step": 12590 }, { "epoch": 11.02, "learning_rate": 0.00022021276595744679, "loss": 0.8445, "step": 12600 }, { "epoch": 11.02, "eval_cer1": 0.3455656459943959, "eval_cer2": 0.3214766201804758, "eval_cer3": 0.29519764782750735, "eval_cer4": 0.2979812614701053, "eval_cer5": 0.31728237791932057, "eval_loss": 1.2023903131484985, "eval_runtime": 1227.8152, "eval_samples_per_second": 7.135, "step": 12600 }, { "epoch": 11.03, "learning_rate": 0.00022014627659574466, "loss": 0.9592, "step": 12610 }, { "epoch": 11.04, "learning_rate": 0.00022007978723404253, "loss": 0.7962, "step": 12620 }, { "epoch": 11.05, "learning_rate": 0.00022001329787234042, "loss": 0.9305, "step": 12630 }, { "epoch": 11.06, "learning_rate": 0.0002199468085106383, "loss": 0.9227, "step": 12640 }, { "epoch": 11.07, "learning_rate": 0.00021988031914893616, "loss": 0.9765, "step": 12650 }, { "epoch": 11.08, "learning_rate": 0.00021981382978723403, "loss": 1.0127, "step": 12660 }, { "epoch": 11.08, "learning_rate": 0.0002197473404255319, "loss": 0.8678, "step": 12670 }, { "epoch": 11.09, "learning_rate": 0.00021968085106382977, "loss": 1.007, "step": 12680 }, { "epoch": 11.1, "learning_rate": 0.00021961436170212764, "loss": 0.8214, "step": 12690 }, { "epoch": 11.11, "learning_rate": 0.0002195478723404255, "loss": 0.9521, "step": 12700 }, { "epoch": 11.12, "learning_rate": 0.0002194813829787234, "loss": 0.9586, "step": 12710 }, { "epoch": 11.13, "learning_rate": 0.00021941489361702128, "loss": 0.9313, "step": 12720 }, { "epoch": 11.14, "learning_rate": 0.00021934840425531915, "loss": 1.0148, "step": 12730 }, { "epoch": 11.15, "learning_rate": 0.00021928191489361702, "loss": 0.9606, "step": 12740 }, { "epoch": 11.15, "learning_rate": 0.0002192154255319149, "loss": 0.8952, "step": 12750 }, { "epoch": 11.16, "learning_rate": 0.00021914893617021276, "loss": 0.9911, "step": 12760 }, { "epoch": 11.17, "learning_rate": 0.0002190824468085106, "loss": 1.0007, "step": 12770 }, { "epoch": 11.18, "learning_rate": 0.00021901595744680847, "loss": 1.077, "step": 12780 }, { "epoch": 11.19, "learning_rate": 0.00021894946808510634, "loss": 0.9664, "step": 12790 }, { "epoch": 11.2, "learning_rate": 0.0002188829787234042, "loss": 0.9697, "step": 12800 }, { "epoch": 11.21, "learning_rate": 0.0002188164893617021, "loss": 1.1446, "step": 12810 }, { "epoch": 11.22, "learning_rate": 0.00021874999999999998, "loss": 0.9843, "step": 12820 }, { "epoch": 11.22, "learning_rate": 0.00021868351063829785, "loss": 1.049, "step": 12830 }, { "epoch": 11.23, "learning_rate": 0.00021861702127659572, "loss": 1.1505, "step": 12840 }, { "epoch": 11.24, "learning_rate": 0.0002185505319148936, "loss": 1.0735, "step": 12850 }, { "epoch": 11.25, "learning_rate": 0.00021848404255319146, "loss": 1.2821, "step": 12860 }, { "epoch": 11.26, "learning_rate": 0.00021841755319148933, "loss": 1.0048, "step": 12870 }, { "epoch": 11.27, "learning_rate": 0.0002183510638297872, "loss": 1.1745, "step": 12880 }, { "epoch": 11.28, "learning_rate": 0.0002182845744680851, "loss": 1.0445, "step": 12890 }, { "epoch": 11.29, "learning_rate": 0.00021821808510638296, "loss": 0.9484, "step": 12900 }, { "epoch": 11.29, "learning_rate": 0.00021815159574468083, "loss": 1.1026, "step": 12910 }, { "epoch": 11.3, "learning_rate": 0.0002180851063829787, "loss": 1.0093, "step": 12920 }, { "epoch": 11.31, "learning_rate": 0.00021801861702127657, "loss": 1.0747, "step": 12930 }, { "epoch": 11.32, "learning_rate": 0.00021795212765957444, "loss": 0.9988, "step": 12940 }, { "epoch": 11.33, "learning_rate": 0.0002178856382978723, "loss": 1.0969, "step": 12950 }, { "epoch": 11.34, "learning_rate": 0.00021781914893617018, "loss": 1.0811, "step": 12960 }, { "epoch": 11.35, "learning_rate": 0.00021775265957446808, "loss": 0.9855, "step": 12970 }, { "epoch": 11.36, "learning_rate": 0.00021768617021276595, "loss": 1.0347, "step": 12980 }, { "epoch": 11.36, "learning_rate": 0.00021761968085106382, "loss": 0.9828, "step": 12990 }, { "epoch": 11.37, "learning_rate": 0.0002175531914893617, "loss": 1.0099, "step": 13000 }, { "epoch": 11.38, "learning_rate": 0.00021748670212765956, "loss": 0.9787, "step": 13010 }, { "epoch": 11.39, "learning_rate": 0.00021742021276595743, "loss": 0.9441, "step": 13020 }, { "epoch": 11.4, "learning_rate": 0.0002173537234042553, "loss": 1.0081, "step": 13030 }, { "epoch": 11.41, "learning_rate": 0.0002172872340425532, "loss": 0.9818, "step": 13040 }, { "epoch": 11.42, "learning_rate": 0.00021722074468085107, "loss": 0.9463, "step": 13050 }, { "epoch": 11.43, "learning_rate": 0.00021715425531914894, "loss": 1.0366, "step": 13060 }, { "epoch": 11.43, "learning_rate": 0.0002170877659574468, "loss": 1.0173, "step": 13070 }, { "epoch": 11.44, "learning_rate": 0.00021702127659574468, "loss": 1.1544, "step": 13080 }, { "epoch": 11.45, "learning_rate": 0.00021695478723404254, "loss": 1.0278, "step": 13090 }, { "epoch": 11.46, "learning_rate": 0.00021688829787234041, "loss": 0.9379, "step": 13100 }, { "epoch": 11.47, "learning_rate": 0.00021682180851063828, "loss": 1.0349, "step": 13110 }, { "epoch": 11.48, "learning_rate": 0.00021675531914893613, "loss": 1.071, "step": 13120 }, { "epoch": 11.49, "learning_rate": 0.000216688829787234, "loss": 1.035, "step": 13130 }, { "epoch": 11.5, "learning_rate": 0.0002166223404255319, "loss": 0.997, "step": 13140 }, { "epoch": 11.5, "learning_rate": 0.00021655585106382976, "loss": 0.9885, "step": 13150 }, { "epoch": 11.51, "learning_rate": 0.00021648936170212763, "loss": 1.0252, "step": 13160 }, { "epoch": 11.52, "learning_rate": 0.0002164228723404255, "loss": 1.0119, "step": 13170 }, { "epoch": 11.53, "learning_rate": 0.00021635638297872337, "loss": 1.0302, "step": 13180 }, { "epoch": 11.54, "learning_rate": 0.00021628989361702124, "loss": 1.0832, "step": 13190 }, { "epoch": 11.55, "learning_rate": 0.0002162234042553191, "loss": 0.9265, "step": 13200 }, { "epoch": 11.55, "eval_cer1": 0.3529928091556666, "eval_cer2": 0.3282362592288761, "eval_cer3": 0.3016661221822934, "eval_cer4": 0.3076402974983097, "eval_cer5": 0.3260297239915074, "eval_loss": 1.245452880859375, "eval_runtime": 1240.774, "eval_samples_per_second": 7.06, "step": 13200 }, { "epoch": 11.56, "learning_rate": 0.00021615691489361698, "loss": 1.0634, "step": 13210 }, { "epoch": 11.57, "learning_rate": 0.00021609042553191488, "loss": 1.1459, "step": 13220 }, { "epoch": 11.57, "learning_rate": 0.00021602393617021275, "loss": 1.1357, "step": 13230 }, { "epoch": 11.58, "learning_rate": 0.00021595744680851062, "loss": 0.9905, "step": 13240 }, { "epoch": 11.59, "learning_rate": 0.0002158909574468085, "loss": 0.9902, "step": 13250 }, { "epoch": 11.6, "learning_rate": 0.00021582446808510636, "loss": 1.1233, "step": 13260 }, { "epoch": 11.61, "learning_rate": 0.00021575797872340423, "loss": 1.0188, "step": 13270 }, { "epoch": 11.62, "learning_rate": 0.0002156914893617021, "loss": 1.1228, "step": 13280 }, { "epoch": 11.63, "learning_rate": 0.00021562499999999997, "loss": 1.0427, "step": 13290 }, { "epoch": 11.64, "learning_rate": 0.00021555851063829787, "loss": 0.9061, "step": 13300 }, { "epoch": 11.64, "learning_rate": 0.00021549202127659574, "loss": 1.0424, "step": 13310 }, { "epoch": 11.65, "learning_rate": 0.0002154255319148936, "loss": 0.9715, "step": 13320 }, { "epoch": 11.66, "learning_rate": 0.00021535904255319148, "loss": 1.0469, "step": 13330 }, { "epoch": 11.67, "learning_rate": 0.00021529255319148935, "loss": 1.0025, "step": 13340 }, { "epoch": 11.68, "learning_rate": 0.00021522606382978722, "loss": 0.9511, "step": 13350 }, { "epoch": 11.69, "learning_rate": 0.00021515957446808509, "loss": 1.0686, "step": 13360 }, { "epoch": 11.7, "learning_rate": 0.00021509308510638296, "loss": 0.9345, "step": 13370 }, { "epoch": 11.71, "learning_rate": 0.00021502659574468085, "loss": 1.0512, "step": 13380 }, { "epoch": 11.71, "learning_rate": 0.00021496010638297872, "loss": 0.9853, "step": 13390 }, { "epoch": 11.72, "learning_rate": 0.0002148936170212766, "loss": 0.9527, "step": 13400 }, { "epoch": 11.73, "learning_rate": 0.00021482712765957446, "loss": 1.0738, "step": 13410 }, { "epoch": 11.74, "learning_rate": 0.00021476063829787233, "loss": 1.0519, "step": 13420 }, { "epoch": 11.75, "learning_rate": 0.0002146941489361702, "loss": 1.1062, "step": 13430 }, { "epoch": 11.76, "learning_rate": 0.00021462765957446807, "loss": 0.9, "step": 13440 }, { "epoch": 11.77, "learning_rate": 0.00021456117021276594, "loss": 1.0431, "step": 13450 }, { "epoch": 11.78, "learning_rate": 0.00021449468085106384, "loss": 1.0474, "step": 13460 }, { "epoch": 11.78, "learning_rate": 0.00021442819148936165, "loss": 0.9661, "step": 13470 }, { "epoch": 11.79, "learning_rate": 0.00021436170212765955, "loss": 1.1666, "step": 13480 }, { "epoch": 11.8, "learning_rate": 0.00021429521276595742, "loss": 1.1395, "step": 13490 }, { "epoch": 11.81, "learning_rate": 0.0002142287234042553, "loss": 0.9335, "step": 13500 }, { "epoch": 11.82, "learning_rate": 0.00021416223404255316, "loss": 1.0932, "step": 13510 }, { "epoch": 11.83, "learning_rate": 0.00021409574468085103, "loss": 1.0988, "step": 13520 }, { "epoch": 11.84, "learning_rate": 0.0002140292553191489, "loss": 1.1695, "step": 13530 }, { "epoch": 11.85, "learning_rate": 0.00021396276595744677, "loss": 1.1033, "step": 13540 }, { "epoch": 11.85, "learning_rate": 0.00021389627659574467, "loss": 0.9542, "step": 13550 }, { "epoch": 11.86, "learning_rate": 0.00021382978723404254, "loss": 1.0597, "step": 13560 }, { "epoch": 11.87, "learning_rate": 0.0002137632978723404, "loss": 0.9988, "step": 13570 }, { "epoch": 11.88, "learning_rate": 0.00021369680851063828, "loss": 1.1516, "step": 13580 }, { "epoch": 11.89, "learning_rate": 0.00021363031914893615, "loss": 0.9405, "step": 13590 }, { "epoch": 11.9, "learning_rate": 0.00021356382978723402, "loss": 0.934, "step": 13600 }, { "epoch": 11.91, "learning_rate": 0.00021349734042553189, "loss": 1.0033, "step": 13610 }, { "epoch": 11.92, "learning_rate": 0.00021343085106382976, "loss": 1.0445, "step": 13620 }, { "epoch": 11.92, "learning_rate": 0.00021336436170212765, "loss": 1.0486, "step": 13630 }, { "epoch": 11.93, "learning_rate": 0.00021329787234042552, "loss": 0.983, "step": 13640 }, { "epoch": 11.94, "learning_rate": 0.0002132313829787234, "loss": 0.9604, "step": 13650 }, { "epoch": 11.95, "learning_rate": 0.00021316489361702126, "loss": 1.1251, "step": 13660 }, { "epoch": 11.96, "learning_rate": 0.00021309840425531913, "loss": 1.0629, "step": 13670 }, { "epoch": 11.97, "learning_rate": 0.000213031914893617, "loss": 1.0132, "step": 13680 }, { "epoch": 11.98, "learning_rate": 0.00021296542553191487, "loss": 0.9774, "step": 13690 }, { "epoch": 11.99, "learning_rate": 0.00021289893617021274, "loss": 0.8701, "step": 13700 }, { "epoch": 11.99, "learning_rate": 0.00021283244680851064, "loss": 1.0414, "step": 13710 }, { "epoch": 12.0, "learning_rate": 0.0002127659574468085, "loss": 1.2044, "step": 13720 }, { "epoch": 12.01, "learning_rate": 0.00021269946808510638, "loss": 0.9138, "step": 13730 }, { "epoch": 12.02, "learning_rate": 0.00021263297872340425, "loss": 0.8982, "step": 13740 }, { "epoch": 12.03, "learning_rate": 0.00021256648936170212, "loss": 0.9296, "step": 13750 }, { "epoch": 12.04, "learning_rate": 0.0002125, "loss": 0.9315, "step": 13760 }, { "epoch": 12.05, "learning_rate": 0.00021243351063829786, "loss": 0.9664, "step": 13770 }, { "epoch": 12.06, "learning_rate": 0.00021236702127659573, "loss": 1.0134, "step": 13780 }, { "epoch": 12.06, "learning_rate": 0.00021230053191489362, "loss": 0.8014, "step": 13790 }, { "epoch": 12.07, "learning_rate": 0.0002122340425531915, "loss": 1.0197, "step": 13800 }, { "epoch": 12.07, "eval_cer1": 0.3403666317815064, "eval_cer2": 0.31816242821985236, "eval_cer3": 0.2914733747141457, "eval_cer4": 0.29237902057374676, "eval_cer5": 0.3184713375796178, "eval_loss": 1.192155361175537, "eval_runtime": 1245.6905, "eval_samples_per_second": 7.032, "step": 13800 }, { "epoch": 12.08, "learning_rate": 0.00021216755319148936, "loss": 0.8241, "step": 13810 }, { "epoch": 12.09, "learning_rate": 0.0002121010638297872, "loss": 0.8866, "step": 13820 }, { "epoch": 12.1, "learning_rate": 0.00021203457446808508, "loss": 0.893, "step": 13830 }, { "epoch": 12.11, "learning_rate": 0.00021196808510638295, "loss": 0.8634, "step": 13840 }, { "epoch": 12.12, "learning_rate": 0.00021190159574468082, "loss": 1.0329, "step": 13850 }, { "epoch": 12.13, "learning_rate": 0.0002118351063829787, "loss": 0.8321, "step": 13860 }, { "epoch": 12.13, "learning_rate": 0.00021176861702127656, "loss": 0.8522, "step": 13870 }, { "epoch": 12.14, "learning_rate": 0.00021170212765957443, "loss": 0.9864, "step": 13880 }, { "epoch": 12.15, "learning_rate": 0.00021163563829787232, "loss": 0.8404, "step": 13890 }, { "epoch": 12.16, "learning_rate": 0.0002115691489361702, "loss": 1.0281, "step": 13900 }, { "epoch": 12.17, "learning_rate": 0.00021150265957446806, "loss": 0.8686, "step": 13910 }, { "epoch": 12.18, "learning_rate": 0.00021143617021276593, "loss": 0.8785, "step": 13920 }, { "epoch": 12.19, "learning_rate": 0.0002113696808510638, "loss": 0.8973, "step": 13930 }, { "epoch": 12.2, "learning_rate": 0.00021130319148936167, "loss": 0.8708, "step": 13940 }, { "epoch": 12.2, "learning_rate": 0.00021123670212765954, "loss": 1.0624, "step": 13950 }, { "epoch": 12.21, "learning_rate": 0.0002111702127659574, "loss": 0.9225, "step": 13960 }, { "epoch": 12.22, "learning_rate": 0.0002111037234042553, "loss": 1.0633, "step": 13970 }, { "epoch": 12.23, "learning_rate": 0.00021103723404255318, "loss": 0.9761, "step": 13980 }, { "epoch": 12.24, "learning_rate": 0.00021097074468085105, "loss": 0.8656, "step": 13990 }, { "epoch": 12.25, "learning_rate": 0.00021090425531914892, "loss": 1.0375, "step": 14000 }, { "epoch": 12.26, "learning_rate": 0.0002108377659574468, "loss": 0.9021, "step": 14010 }, { "epoch": 12.27, "learning_rate": 0.00021077127659574466, "loss": 0.8711, "step": 14020 }, { "epoch": 12.27, "learning_rate": 0.00021070478723404253, "loss": 0.9043, "step": 14030 }, { "epoch": 12.28, "learning_rate": 0.0002106382978723404, "loss": 0.8641, "step": 14040 }, { "epoch": 12.29, "learning_rate": 0.0002105718085106383, "loss": 1.0683, "step": 14050 }, { "epoch": 12.3, "learning_rate": 0.00021050531914893617, "loss": 0.9571, "step": 14060 }, { "epoch": 12.31, "learning_rate": 0.00021043882978723404, "loss": 0.9288, "step": 14070 }, { "epoch": 12.32, "learning_rate": 0.0002103723404255319, "loss": 0.9175, "step": 14080 }, { "epoch": 12.33, "learning_rate": 0.00021030585106382977, "loss": 0.8679, "step": 14090 }, { "epoch": 12.34, "learning_rate": 0.00021023936170212764, "loss": 1.0284, "step": 14100 }, { "epoch": 12.34, "learning_rate": 0.00021017287234042551, "loss": 0.9129, "step": 14110 }, { "epoch": 12.35, "learning_rate": 0.00021010638297872338, "loss": 0.9061, "step": 14120 }, { "epoch": 12.36, "learning_rate": 0.00021003989361702128, "loss": 0.9296, "step": 14130 }, { "epoch": 12.37, "learning_rate": 0.00020997340425531915, "loss": 0.944, "step": 14140 }, { "epoch": 12.38, "learning_rate": 0.00020990691489361702, "loss": 0.9129, "step": 14150 }, { "epoch": 12.39, "learning_rate": 0.0002098404255319149, "loss": 0.9134, "step": 14160 }, { "epoch": 12.4, "learning_rate": 0.00020977393617021276, "loss": 0.9709, "step": 14170 }, { "epoch": 12.41, "learning_rate": 0.0002097074468085106, "loss": 0.9921, "step": 14180 }, { "epoch": 12.41, "learning_rate": 0.00020964095744680847, "loss": 0.8729, "step": 14190 }, { "epoch": 12.42, "learning_rate": 0.00020957446808510634, "loss": 1.075, "step": 14200 }, { "epoch": 12.43, "learning_rate": 0.0002095079787234042, "loss": 0.9231, "step": 14210 }, { "epoch": 12.44, "learning_rate": 0.0002094414893617021, "loss": 0.9164, "step": 14220 }, { "epoch": 12.45, "learning_rate": 0.00020937499999999998, "loss": 1.0203, "step": 14230 }, { "epoch": 12.46, "learning_rate": 0.00020930851063829785, "loss": 0.904, "step": 14240 }, { "epoch": 12.47, "learning_rate": 0.00020924202127659572, "loss": 1.0771, "step": 14250 }, { "epoch": 12.48, "learning_rate": 0.0002091755319148936, "loss": 0.8862, "step": 14260 }, { "epoch": 12.48, "learning_rate": 0.00020910904255319146, "loss": 0.9296, "step": 14270 }, { "epoch": 12.49, "learning_rate": 0.00020904255319148933, "loss": 0.9558, "step": 14280 }, { "epoch": 12.5, "learning_rate": 0.0002089760638297872, "loss": 0.784, "step": 14290 }, { "epoch": 12.51, "learning_rate": 0.0002089095744680851, "loss": 0.9729, "step": 14300 }, { "epoch": 12.52, "learning_rate": 0.00020884308510638297, "loss": 0.8784, "step": 14310 }, { "epoch": 12.53, "learning_rate": 0.00020877659574468084, "loss": 0.925, "step": 14320 }, { "epoch": 12.54, "learning_rate": 0.0002087101063829787, "loss": 0.9092, "step": 14330 }, { "epoch": 12.55, "learning_rate": 0.00020864361702127658, "loss": 0.9006, "step": 14340 }, { "epoch": 12.55, "learning_rate": 0.00020857712765957445, "loss": 0.9786, "step": 14350 }, { "epoch": 12.56, "learning_rate": 0.00020851063829787232, "loss": 0.8367, "step": 14360 }, { "epoch": 12.57, "learning_rate": 0.00020844414893617019, "loss": 0.8405, "step": 14370 }, { "epoch": 12.58, "learning_rate": 0.00020837765957446808, "loss": 0.914, "step": 14380 }, { "epoch": 12.59, "learning_rate": 0.00020831117021276595, "loss": 0.8563, "step": 14390 }, { "epoch": 12.6, "learning_rate": 0.00020824468085106382, "loss": 0.9378, "step": 14400 }, { "epoch": 12.6, "eval_cer1": 0.34110934809763344, "eval_cer2": 0.3167514356029532, "eval_cer3": 0.28990525971904607, "eval_cer4": 0.2909945587430374, "eval_cer5": 0.3189808917197452, "eval_loss": 1.203891396522522, "eval_runtime": 1279.4597, "eval_samples_per_second": 6.847, "step": 14400 }, { "epoch": 12.61, "learning_rate": 0.0002081781914893617, "loss": 0.9789, "step": 14410 }, { "epoch": 12.62, "learning_rate": 0.00020811170212765956, "loss": 0.8572, "step": 14420 }, { "epoch": 12.62, "learning_rate": 0.00020804521276595743, "loss": 0.9431, "step": 14430 }, { "epoch": 12.63, "learning_rate": 0.0002079787234042553, "loss": 0.8821, "step": 14440 }, { "epoch": 12.64, "learning_rate": 0.00020791223404255317, "loss": 1.0204, "step": 14450 }, { "epoch": 12.65, "learning_rate": 0.00020784574468085107, "loss": 0.864, "step": 14460 }, { "epoch": 12.66, "learning_rate": 0.00020777925531914894, "loss": 0.9057, "step": 14470 }, { "epoch": 12.67, "learning_rate": 0.0002077127659574468, "loss": 0.8873, "step": 14480 }, { "epoch": 12.68, "learning_rate": 0.00020764627659574468, "loss": 0.7615, "step": 14490 }, { "epoch": 12.69, "learning_rate": 0.00020757978723404255, "loss": 0.8912, "step": 14500 }, { "epoch": 12.69, "learning_rate": 0.00020751329787234042, "loss": 0.8313, "step": 14510 }, { "epoch": 12.7, "learning_rate": 0.0002074468085106383, "loss": 0.9724, "step": 14520 }, { "epoch": 12.71, "learning_rate": 0.00020738031914893613, "loss": 0.9186, "step": 14530 }, { "epoch": 12.72, "learning_rate": 0.000207313829787234, "loss": 0.8748, "step": 14540 }, { "epoch": 12.73, "learning_rate": 0.00020724734042553187, "loss": 0.9665, "step": 14550 }, { "epoch": 12.74, "learning_rate": 0.00020718085106382977, "loss": 0.8995, "step": 14560 }, { "epoch": 12.75, "learning_rate": 0.00020711436170212764, "loss": 0.9692, "step": 14570 }, { "epoch": 12.76, "learning_rate": 0.0002070478723404255, "loss": 1.0113, "step": 14580 }, { "epoch": 12.76, "learning_rate": 0.00020698138297872338, "loss": 0.8698, "step": 14590 }, { "epoch": 12.77, "learning_rate": 0.00020691489361702125, "loss": 0.9234, "step": 14600 }, { "epoch": 12.78, "learning_rate": 0.00020684840425531912, "loss": 0.848, "step": 14610 }, { "epoch": 12.79, "learning_rate": 0.00020678191489361699, "loss": 0.8915, "step": 14620 }, { "epoch": 12.8, "learning_rate": 0.00020671542553191486, "loss": 0.9263, "step": 14630 }, { "epoch": 12.81, "learning_rate": 0.00020664893617021275, "loss": 0.7667, "step": 14640 }, { "epoch": 12.82, "learning_rate": 0.00020658244680851062, "loss": 0.9482, "step": 14650 }, { "epoch": 12.83, "learning_rate": 0.0002065159574468085, "loss": 0.9315, "step": 14660 }, { "epoch": 12.83, "learning_rate": 0.00020644946808510636, "loss": 0.8704, "step": 14670 }, { "epoch": 12.84, "learning_rate": 0.00020638297872340423, "loss": 0.905, "step": 14680 }, { "epoch": 12.85, "learning_rate": 0.0002063164893617021, "loss": 1.0015, "step": 14690 }, { "epoch": 12.86, "learning_rate": 0.00020624999999999997, "loss": 1.0181, "step": 14700 }, { "epoch": 12.87, "learning_rate": 0.00020618351063829787, "loss": 0.8935, "step": 14710 }, { "epoch": 12.88, "learning_rate": 0.00020611702127659574, "loss": 1.0126, "step": 14720 }, { "epoch": 12.89, "learning_rate": 0.0002060505319148936, "loss": 1.0019, "step": 14730 }, { "epoch": 12.9, "learning_rate": 0.00020598404255319148, "loss": 0.929, "step": 14740 }, { "epoch": 12.9, "learning_rate": 0.00020591755319148935, "loss": 0.9538, "step": 14750 }, { "epoch": 12.91, "learning_rate": 0.00020585106382978722, "loss": 0.997, "step": 14760 }, { "epoch": 12.92, "learning_rate": 0.0002057845744680851, "loss": 0.9999, "step": 14770 }, { "epoch": 12.93, "learning_rate": 0.00020571808510638296, "loss": 0.8423, "step": 14780 }, { "epoch": 12.94, "learning_rate": 0.00020565159574468085, "loss": 0.878, "step": 14790 }, { "epoch": 12.95, "learning_rate": 0.00020558510638297872, "loss": 0.9586, "step": 14800 }, { "epoch": 12.96, "learning_rate": 0.0002055186170212766, "loss": 0.8543, "step": 14810 }, { "epoch": 12.97, "learning_rate": 0.00020545212765957446, "loss": 0.8633, "step": 14820 }, { "epoch": 12.97, "learning_rate": 0.00020538563829787233, "loss": 0.9061, "step": 14830 }, { "epoch": 12.98, "learning_rate": 0.0002053191489361702, "loss": 0.7897, "step": 14840 }, { "epoch": 12.99, "learning_rate": 0.00020525265957446807, "loss": 0.9661, "step": 14850 }, { "epoch": 13.0, "learning_rate": 0.00020518617021276594, "loss": 0.9375, "step": 14860 }, { "epoch": 13.01, "learning_rate": 0.00020511968085106384, "loss": 0.9073, "step": 14870 }, { "epoch": 13.02, "learning_rate": 0.00020505319148936166, "loss": 0.7484, "step": 14880 }, { "epoch": 13.03, "learning_rate": 0.00020498670212765955, "loss": 0.8098, "step": 14890 }, { "epoch": 13.04, "learning_rate": 0.00020492021276595742, "loss": 0.8629, "step": 14900 }, { "epoch": 13.04, "learning_rate": 0.0002048537234042553, "loss": 0.7741, "step": 14910 }, { "epoch": 13.05, "learning_rate": 0.00020478723404255316, "loss": 0.9069, "step": 14920 }, { "epoch": 13.06, "learning_rate": 0.00020472074468085103, "loss": 0.7353, "step": 14930 }, { "epoch": 13.07, "learning_rate": 0.0002046542553191489, "loss": 0.8632, "step": 14940 }, { "epoch": 13.08, "learning_rate": 0.00020458776595744677, "loss": 0.7818, "step": 14950 }, { "epoch": 13.09, "learning_rate": 0.00020452127659574464, "loss": 0.7384, "step": 14960 }, { "epoch": 13.1, "learning_rate": 0.00020445478723404254, "loss": 0.894, "step": 14970 }, { "epoch": 13.11, "learning_rate": 0.0002043882978723404, "loss": 0.8132, "step": 14980 }, { "epoch": 13.11, "learning_rate": 0.00020432180851063828, "loss": 0.8529, "step": 14990 }, { "epoch": 13.12, "learning_rate": 0.00020425531914893615, "loss": 0.8909, "step": 15000 }, { "epoch": 13.12, "eval_cer1": 0.3392187974747645, "eval_cer2": 0.3177686628383921, "eval_cer3": 0.2885331590983339, "eval_cer4": 0.29511574744840463, "eval_cer5": 0.3207643312101911, "eval_loss": 1.1855053901672363, "eval_runtime": 1264.3288, "eval_samples_per_second": 6.929, "step": 15000 }, { "epoch": 13.13, "learning_rate": 0.00020418882978723402, "loss": 0.7726, "step": 15010 }, { "epoch": 13.14, "learning_rate": 0.0002041223404255319, "loss": 0.8991, "step": 15020 }, { "epoch": 13.15, "learning_rate": 0.00020405585106382976, "loss": 0.8376, "step": 15030 }, { "epoch": 13.16, "learning_rate": 0.00020398936170212763, "loss": 0.9154, "step": 15040 }, { "epoch": 13.17, "learning_rate": 0.00020392287234042553, "loss": 0.7976, "step": 15050 }, { "epoch": 13.18, "learning_rate": 0.0002038563829787234, "loss": 0.697, "step": 15060 }, { "epoch": 13.18, "learning_rate": 0.00020378989361702126, "loss": 0.8543, "step": 15070 }, { "epoch": 13.19, "learning_rate": 0.00020372340425531913, "loss": 0.7901, "step": 15080 }, { "epoch": 13.2, "learning_rate": 0.000203656914893617, "loss": 0.8668, "step": 15090 }, { "epoch": 13.21, "learning_rate": 0.00020359042553191487, "loss": 0.8611, "step": 15100 }, { "epoch": 13.22, "learning_rate": 0.00020352393617021274, "loss": 0.7238, "step": 15110 }, { "epoch": 13.23, "learning_rate": 0.00020345744680851061, "loss": 0.9031, "step": 15120 }, { "epoch": 13.24, "learning_rate": 0.0002033909574468085, "loss": 0.7859, "step": 15130 }, { "epoch": 13.25, "learning_rate": 0.00020332446808510638, "loss": 0.8138, "step": 15140 }, { "epoch": 13.25, "learning_rate": 0.00020325797872340425, "loss": 0.764, "step": 15150 }, { "epoch": 13.26, "learning_rate": 0.00020319148936170212, "loss": 0.7924, "step": 15160 }, { "epoch": 13.27, "learning_rate": 0.000203125, "loss": 0.914, "step": 15170 }, { "epoch": 13.28, "learning_rate": 0.00020305851063829786, "loss": 0.8773, "step": 15180 }, { "epoch": 13.29, "learning_rate": 0.00020299202127659573, "loss": 0.804, "step": 15190 }, { "epoch": 13.3, "learning_rate": 0.0002029255319148936, "loss": 0.8032, "step": 15200 }, { "epoch": 13.31, "learning_rate": 0.0002028590425531915, "loss": 0.7001, "step": 15210 }, { "epoch": 13.32, "learning_rate": 0.00020279255319148937, "loss": 0.8891, "step": 15220 }, { "epoch": 13.32, "learning_rate": 0.0002027260638297872, "loss": 0.8022, "step": 15230 }, { "epoch": 13.33, "learning_rate": 0.00020265957446808508, "loss": 0.8473, "step": 15240 }, { "epoch": 13.34, "learning_rate": 0.00020259308510638295, "loss": 0.8071, "step": 15250 }, { "epoch": 13.35, "learning_rate": 0.00020252659574468082, "loss": 0.7937, "step": 15260 }, { "epoch": 13.36, "learning_rate": 0.0002024601063829787, "loss": 0.8766, "step": 15270 }, { "epoch": 13.37, "learning_rate": 0.00020239361702127656, "loss": 0.7101, "step": 15280 }, { "epoch": 13.38, "learning_rate": 0.00020232712765957443, "loss": 0.8392, "step": 15290 }, { "epoch": 13.39, "learning_rate": 0.00020226063829787233, "loss": 0.8145, "step": 15300 }, { "epoch": 13.39, "learning_rate": 0.0002021941489361702, "loss": 0.7219, "step": 15310 }, { "epoch": 13.4, "learning_rate": 0.00020212765957446807, "loss": 0.8866, "step": 15320 }, { "epoch": 13.41, "learning_rate": 0.00020206117021276594, "loss": 0.8459, "step": 15330 }, { "epoch": 13.42, "learning_rate": 0.0002019946808510638, "loss": 0.8178, "step": 15340 }, { "epoch": 13.43, "learning_rate": 0.00020192819148936168, "loss": 0.893, "step": 15350 }, { "epoch": 13.44, "learning_rate": 0.00020186170212765955, "loss": 0.7521, "step": 15360 }, { "epoch": 13.45, "learning_rate": 0.00020179521276595741, "loss": 0.9168, "step": 15370 }, { "epoch": 13.46, "learning_rate": 0.0002017287234042553, "loss": 0.7176, "step": 15380 }, { "epoch": 13.46, "learning_rate": 0.00020166223404255318, "loss": 0.7773, "step": 15390 }, { "epoch": 13.47, "learning_rate": 0.00020159574468085105, "loss": 0.7758, "step": 15400 }, { "epoch": 13.48, "learning_rate": 0.00020152925531914892, "loss": 0.754, "step": 15410 }, { "epoch": 13.49, "learning_rate": 0.0002014627659574468, "loss": 0.8364, "step": 15420 }, { "epoch": 13.5, "learning_rate": 0.00020139627659574466, "loss": 0.6987, "step": 15430 }, { "epoch": 13.51, "learning_rate": 0.00020132978723404253, "loss": 0.8569, "step": 15440 }, { "epoch": 13.52, "learning_rate": 0.0002012632978723404, "loss": 0.8074, "step": 15450 }, { "epoch": 13.53, "learning_rate": 0.0002011968085106383, "loss": 0.6713, "step": 15460 }, { "epoch": 13.53, "learning_rate": 0.00020113031914893617, "loss": 0.9293, "step": 15470 }, { "epoch": 13.54, "learning_rate": 0.00020106382978723404, "loss": 0.6779, "step": 15480 }, { "epoch": 13.55, "learning_rate": 0.0002009973404255319, "loss": 0.8982, "step": 15490 }, { "epoch": 13.56, "learning_rate": 0.00020093085106382978, "loss": 0.8553, "step": 15500 }, { "epoch": 13.57, "learning_rate": 0.00020086436170212765, "loss": 0.7382, "step": 15510 }, { "epoch": 13.58, "learning_rate": 0.00020079787234042552, "loss": 0.8824, "step": 15520 }, { "epoch": 13.59, "learning_rate": 0.0002007313829787234, "loss": 0.7786, "step": 15530 }, { "epoch": 13.6, "learning_rate": 0.00020066489361702128, "loss": 0.8754, "step": 15540 }, { "epoch": 13.6, "learning_rate": 0.00020059840425531915, "loss": 0.7902, "step": 15550 }, { "epoch": 13.61, "learning_rate": 0.00020053191489361702, "loss": 0.8549, "step": 15560 }, { "epoch": 13.62, "learning_rate": 0.0002004654255319149, "loss": 0.8945, "step": 15570 }, { "epoch": 13.63, "learning_rate": 0.00020039893617021276, "loss": 0.8195, "step": 15580 }, { "epoch": 13.64, "learning_rate": 0.0002003324468085106, "loss": 0.8038, "step": 15590 }, { "epoch": 13.65, "learning_rate": 0.00020026595744680848, "loss": 0.8458, "step": 15600 }, { "epoch": 13.65, "eval_cer1": 0.318051382465143, "eval_cer2": 0.29739130434782607, "eval_cer3": 0.2697157791571382, "eval_cer4": 0.2732219324511414, "eval_cer5": 0.3000424628450106, "eval_loss": 1.1297023296356201, "eval_runtime": 1291.5515, "eval_samples_per_second": 6.783, "step": 15600 }, { "epoch": 13.66, "learning_rate": 0.00020019946808510635, "loss": 0.7666, "step": 15610 }, { "epoch": 13.67, "learning_rate": 0.00020013297872340422, "loss": 0.9345, "step": 15620 }, { "epoch": 13.67, "learning_rate": 0.00020006648936170209, "loss": 0.8501, "step": 15630 }, { "epoch": 13.68, "learning_rate": 0.00019999999999999998, "loss": 0.9028, "step": 15640 }, { "epoch": 13.69, "learning_rate": 0.00019993351063829785, "loss": 0.8467, "step": 15650 }, { "epoch": 13.7, "learning_rate": 0.00019986702127659572, "loss": 0.783, "step": 15660 }, { "epoch": 13.71, "learning_rate": 0.0001998005319148936, "loss": 0.9343, "step": 15670 }, { "epoch": 13.72, "learning_rate": 0.00019973404255319146, "loss": 0.7176, "step": 15680 }, { "epoch": 13.73, "learning_rate": 0.00019966755319148933, "loss": 0.8045, "step": 15690 }, { "epoch": 13.74, "learning_rate": 0.0001996010638297872, "loss": 0.9697, "step": 15700 }, { "epoch": 13.74, "learning_rate": 0.00019953457446808507, "loss": 0.7678, "step": 15710 }, { "epoch": 13.75, "learning_rate": 0.00019946808510638297, "loss": 0.9675, "step": 15720 }, { "epoch": 13.76, "learning_rate": 0.00019940159574468084, "loss": 0.8577, "step": 15730 }, { "epoch": 13.77, "learning_rate": 0.0001993351063829787, "loss": 0.8539, "step": 15740 }, { "epoch": 13.78, "learning_rate": 0.00019926861702127658, "loss": 0.8309, "step": 15750 }, { "epoch": 13.79, "learning_rate": 0.00019920212765957445, "loss": 0.7003, "step": 15760 }, { "epoch": 13.8, "learning_rate": 0.00019913563829787232, "loss": 0.8837, "step": 15770 }, { "epoch": 13.81, "learning_rate": 0.0001990691489361702, "loss": 0.7662, "step": 15780 }, { "epoch": 13.81, "learning_rate": 0.00019900265957446806, "loss": 0.8567, "step": 15790 }, { "epoch": 13.82, "learning_rate": 0.00019893617021276595, "loss": 0.7708, "step": 15800 }, { "epoch": 13.83, "learning_rate": 0.00019886968085106382, "loss": 0.7494, "step": 15810 }, { "epoch": 13.84, "learning_rate": 0.0001988031914893617, "loss": 0.9774, "step": 15820 }, { "epoch": 13.85, "learning_rate": 0.00019873670212765956, "loss": 0.8775, "step": 15830 }, { "epoch": 13.86, "learning_rate": 0.00019867021276595743, "loss": 0.8533, "step": 15840 }, { "epoch": 13.87, "learning_rate": 0.0001986037234042553, "loss": 0.8854, "step": 15850 }, { "epoch": 13.88, "learning_rate": 0.00019853723404255317, "loss": 0.7294, "step": 15860 }, { "epoch": 13.88, "learning_rate": 0.00019847074468085107, "loss": 1.0049, "step": 15870 }, { "epoch": 13.89, "learning_rate": 0.00019840425531914894, "loss": 0.7182, "step": 15880 }, { "epoch": 13.9, "learning_rate": 0.0001983377659574468, "loss": 0.8756, "step": 15890 }, { "epoch": 13.91, "learning_rate": 0.00019827127659574468, "loss": 0.8781, "step": 15900 }, { "epoch": 13.92, "learning_rate": 0.00019820478723404255, "loss": 0.7262, "step": 15910 }, { "epoch": 13.93, "learning_rate": 0.00019813829787234042, "loss": 0.9876, "step": 15920 }, { "epoch": 13.94, "learning_rate": 0.0001980718085106383, "loss": 0.7772, "step": 15930 }, { "epoch": 13.95, "learning_rate": 0.00019800531914893613, "loss": 0.8202, "step": 15940 }, { "epoch": 13.95, "learning_rate": 0.000197938829787234, "loss": 0.8194, "step": 15950 }, { "epoch": 13.96, "learning_rate": 0.00019787234042553187, "loss": 0.7863, "step": 15960 }, { "epoch": 13.97, "learning_rate": 0.00019780585106382977, "loss": 0.8283, "step": 15970 }, { "epoch": 13.98, "learning_rate": 0.00019773936170212764, "loss": 0.7745, "step": 15980 }, { "epoch": 13.99, "learning_rate": 0.0001976728723404255, "loss": 0.8281, "step": 15990 }, { "epoch": 14.0, "learning_rate": 0.00019760638297872338, "loss": 0.7716, "step": 16000 }, { "epoch": 14.01, "learning_rate": 0.00019753989361702125, "loss": 0.8981, "step": 16010 }, { "epoch": 14.02, "learning_rate": 0.00019747340425531912, "loss": 0.7819, "step": 16020 }, { "epoch": 14.02, "learning_rate": 0.000197406914893617, "loss": 0.6779, "step": 16030 }, { "epoch": 14.03, "learning_rate": 0.00019734042553191486, "loss": 0.8303, "step": 16040 }, { "epoch": 14.04, "learning_rate": 0.00019727393617021276, "loss": 0.7213, "step": 16050 }, { "epoch": 14.05, "learning_rate": 0.00019720744680851062, "loss": 0.8114, "step": 16060 }, { "epoch": 14.06, "learning_rate": 0.0001971409574468085, "loss": 0.6867, "step": 16070 }, { "epoch": 14.07, "learning_rate": 0.00019707446808510636, "loss": 0.6972, "step": 16080 }, { "epoch": 14.08, "learning_rate": 0.00019700797872340423, "loss": 0.7685, "step": 16090 }, { "epoch": 14.09, "learning_rate": 0.0001969414893617021, "loss": 0.6985, "step": 16100 }, { "epoch": 14.09, "learning_rate": 0.00019687499999999997, "loss": 0.7939, "step": 16110 }, { "epoch": 14.1, "learning_rate": 0.00019680851063829784, "loss": 0.7735, "step": 16120 }, { "epoch": 14.11, "learning_rate": 0.00019674202127659574, "loss": 0.7357, "step": 16130 }, { "epoch": 14.12, "learning_rate": 0.0001966755319148936, "loss": 0.802, "step": 16140 }, { "epoch": 14.13, "learning_rate": 0.00019660904255319148, "loss": 0.7361, "step": 16150 }, { "epoch": 14.14, "learning_rate": 0.00019654255319148935, "loss": 0.8536, "step": 16160 }, { "epoch": 14.15, "learning_rate": 0.00019647606382978722, "loss": 0.7138, "step": 16170 }, { "epoch": 14.16, "learning_rate": 0.0001964095744680851, "loss": 0.7561, "step": 16180 }, { "epoch": 14.16, "learning_rate": 0.00019634308510638296, "loss": 0.7063, "step": 16190 }, { "epoch": 14.17, "learning_rate": 0.00019627659574468083, "loss": 0.6616, "step": 16200 }, { "epoch": 14.17, "eval_cer1": 0.3182201816278991, "eval_cer2": 0.29486464315012306, "eval_cer3": 0.2726886638353479, "eval_cer4": 0.2720306513409962, "eval_cer5": 0.2932484076433121, "eval_loss": 1.1143051385879517, "eval_runtime": 1313.0708, "eval_samples_per_second": 6.671, "step": 16200 }, { "epoch": 14.18, "learning_rate": 0.00019621010638297873, "loss": 0.7557, "step": 16210 }, { "epoch": 14.19, "learning_rate": 0.0001961436170212766, "loss": 0.6934, "step": 16220 }, { "epoch": 14.2, "learning_rate": 0.00019607712765957447, "loss": 0.7144, "step": 16230 }, { "epoch": 14.21, "learning_rate": 0.00019601063829787234, "loss": 0.8616, "step": 16240 }, { "epoch": 14.22, "learning_rate": 0.0001959441489361702, "loss": 0.682, "step": 16250 }, { "epoch": 14.23, "learning_rate": 0.00019587765957446808, "loss": 0.7682, "step": 16260 }, { "epoch": 14.23, "learning_rate": 0.00019581117021276595, "loss": 0.6824, "step": 16270 }, { "epoch": 14.24, "learning_rate": 0.00019574468085106382, "loss": 0.6424, "step": 16280 }, { "epoch": 14.25, "learning_rate": 0.00019567819148936166, "loss": 0.8398, "step": 16290 }, { "epoch": 14.26, "learning_rate": 0.00019561170212765953, "loss": 0.722, "step": 16300 }, { "epoch": 14.27, "learning_rate": 0.00019554521276595743, "loss": 0.7341, "step": 16310 }, { "epoch": 14.28, "learning_rate": 0.0001954787234042553, "loss": 0.6773, "step": 16320 }, { "epoch": 14.29, "learning_rate": 0.00019541223404255317, "loss": 0.7365, "step": 16330 }, { "epoch": 14.3, "learning_rate": 0.00019534574468085104, "loss": 0.8071, "step": 16340 }, { "epoch": 14.3, "learning_rate": 0.0001952792553191489, "loss": 0.6234, "step": 16350 }, { "epoch": 14.31, "learning_rate": 0.00019521276595744677, "loss": 0.8399, "step": 16360 }, { "epoch": 14.32, "learning_rate": 0.00019514627659574464, "loss": 0.6696, "step": 16370 }, { "epoch": 14.33, "learning_rate": 0.00019507978723404254, "loss": 0.6734, "step": 16380 }, { "epoch": 14.34, "learning_rate": 0.0001950132978723404, "loss": 0.7585, "step": 16390 }, { "epoch": 14.35, "learning_rate": 0.00019494680851063828, "loss": 0.641, "step": 16400 }, { "epoch": 14.36, "learning_rate": 0.00019488031914893615, "loss": 0.7906, "step": 16410 }, { "epoch": 14.37, "learning_rate": 0.00019481382978723402, "loss": 0.791, "step": 16420 }, { "epoch": 14.37, "learning_rate": 0.0001947473404255319, "loss": 0.7852, "step": 16430 }, { "epoch": 14.38, "learning_rate": 0.00019468085106382976, "loss": 0.8255, "step": 16440 }, { "epoch": 14.39, "learning_rate": 0.00019461436170212763, "loss": 0.6949, "step": 16450 }, { "epoch": 14.4, "learning_rate": 0.00019454787234042553, "loss": 0.8579, "step": 16460 }, { "epoch": 14.41, "learning_rate": 0.0001944813829787234, "loss": 0.6611, "step": 16470 }, { "epoch": 14.42, "learning_rate": 0.00019441489361702127, "loss": 0.7366, "step": 16480 }, { "epoch": 14.43, "learning_rate": 0.00019434840425531914, "loss": 0.8814, "step": 16490 }, { "epoch": 14.44, "learning_rate": 0.000194281914893617, "loss": 0.6525, "step": 16500 }, { "epoch": 14.44, "learning_rate": 0.00019421542553191488, "loss": 0.7604, "step": 16510 }, { "epoch": 14.45, "learning_rate": 0.00019414893617021275, "loss": 0.8022, "step": 16520 }, { "epoch": 14.46, "learning_rate": 0.00019408244680851062, "loss": 0.7173, "step": 16530 }, { "epoch": 14.47, "learning_rate": 0.00019401595744680851, "loss": 0.7892, "step": 16540 }, { "epoch": 14.48, "learning_rate": 0.00019394946808510638, "loss": 0.6637, "step": 16550 }, { "epoch": 14.49, "learning_rate": 0.00019388297872340425, "loss": 0.8382, "step": 16560 }, { "epoch": 14.5, "learning_rate": 0.00019381648936170212, "loss": 0.7502, "step": 16570 }, { "epoch": 14.51, "learning_rate": 0.00019375, "loss": 0.7276, "step": 16580 }, { "epoch": 14.51, "learning_rate": 0.00019368351063829786, "loss": 0.8077, "step": 16590 }, { "epoch": 14.52, "learning_rate": 0.00019361702127659573, "loss": 0.6857, "step": 16600 }, { "epoch": 14.53, "learning_rate": 0.0001935505319148936, "loss": 0.7267, "step": 16610 }, { "epoch": 14.54, "learning_rate": 0.0001934840425531915, "loss": 0.7215, "step": 16620 }, { "epoch": 14.55, "learning_rate": 0.00019341755319148937, "loss": 0.779, "step": 16630 }, { "epoch": 14.56, "learning_rate": 0.0001933510638297872, "loss": 0.7738, "step": 16640 }, { "epoch": 14.57, "learning_rate": 0.00019328457446808508, "loss": 0.6824, "step": 16650 }, { "epoch": 14.58, "learning_rate": 0.00019321808510638295, "loss": 0.8226, "step": 16660 }, { "epoch": 14.58, "learning_rate": 0.00019315159574468082, "loss": 0.7909, "step": 16670 }, { "epoch": 14.59, "learning_rate": 0.0001930851063829787, "loss": 0.7064, "step": 16680 }, { "epoch": 14.6, "learning_rate": 0.00019301861702127656, "loss": 0.8026, "step": 16690 }, { "epoch": 14.61, "learning_rate": 0.00019295212765957443, "loss": 0.6652, "step": 16700 }, { "epoch": 14.62, "learning_rate": 0.0001928856382978723, "loss": 0.7503, "step": 16710 }, { "epoch": 14.63, "learning_rate": 0.0001928191489361702, "loss": 0.7841, "step": 16720 }, { "epoch": 14.64, "learning_rate": 0.00019275265957446807, "loss": 0.7588, "step": 16730 }, { "epoch": 14.65, "learning_rate": 0.00019268617021276594, "loss": 0.7842, "step": 16740 }, { "epoch": 14.65, "learning_rate": 0.0001926196808510638, "loss": 0.7365, "step": 16750 }, { "epoch": 14.66, "learning_rate": 0.00019255319148936168, "loss": 0.7845, "step": 16760 }, { "epoch": 14.67, "learning_rate": 0.00019248670212765955, "loss": 0.7154, "step": 16770 }, { "epoch": 14.68, "learning_rate": 0.00019242021276595742, "loss": 0.7513, "step": 16780 }, { "epoch": 14.69, "learning_rate": 0.0001923537234042553, "loss": 0.8221, "step": 16790 }, { "epoch": 14.7, "learning_rate": 0.00019228723404255318, "loss": 0.6601, "step": 16800 }, { "epoch": 14.7, "eval_cer1": 0.30674183856048076, "eval_cer2": 0.284954881050041, "eval_cer3": 0.263312642927148, "eval_cer4": 0.25776747480601436, "eval_cer5": 0.2816135881104034, "eval_loss": 1.0925976037979126, "eval_runtime": 1292.5314, "eval_samples_per_second": 6.777, "step": 16800 }, { "epoch": 14.71, "learning_rate": 0.00019222074468085105, "loss": 0.7836, "step": 16810 }, { "epoch": 14.72, "learning_rate": 0.00019215425531914892, "loss": 0.7487, "step": 16820 }, { "epoch": 14.72, "learning_rate": 0.0001920877659574468, "loss": 0.7906, "step": 16830 }, { "epoch": 14.73, "learning_rate": 0.00019202127659574466, "loss": 0.7396, "step": 16840 }, { "epoch": 14.74, "learning_rate": 0.00019195478723404253, "loss": 0.7204, "step": 16850 }, { "epoch": 14.75, "learning_rate": 0.0001918882978723404, "loss": 0.848, "step": 16860 }, { "epoch": 14.76, "learning_rate": 0.00019182180851063827, "loss": 0.7929, "step": 16870 }, { "epoch": 14.77, "learning_rate": 0.00019175531914893617, "loss": 0.7217, "step": 16880 }, { "epoch": 14.78, "learning_rate": 0.00019168882978723404, "loss": 0.8023, "step": 16890 }, { "epoch": 14.79, "learning_rate": 0.0001916223404255319, "loss": 0.7387, "step": 16900 }, { "epoch": 14.79, "learning_rate": 0.00019155585106382978, "loss": 0.804, "step": 16910 }, { "epoch": 14.8, "learning_rate": 0.00019148936170212765, "loss": 0.6628, "step": 16920 }, { "epoch": 14.81, "learning_rate": 0.00019142287234042552, "loss": 0.7611, "step": 16930 }, { "epoch": 14.82, "learning_rate": 0.0001913563829787234, "loss": 0.7139, "step": 16940 }, { "epoch": 14.83, "learning_rate": 0.00019128989361702126, "loss": 0.5858, "step": 16950 }, { "epoch": 14.84, "learning_rate": 0.00019122340425531916, "loss": 0.8531, "step": 16960 }, { "epoch": 14.85, "learning_rate": 0.00019115691489361703, "loss": 0.6779, "step": 16970 }, { "epoch": 14.86, "learning_rate": 0.0001910904255319149, "loss": 0.6848, "step": 16980 }, { "epoch": 14.86, "learning_rate": 0.00019102393617021277, "loss": 0.753, "step": 16990 }, { "epoch": 14.87, "learning_rate": 0.0001909574468085106, "loss": 0.6832, "step": 17000 }, { "epoch": 14.88, "learning_rate": 0.00019089095744680848, "loss": 0.812, "step": 17010 }, { "epoch": 14.89, "learning_rate": 0.00019082446808510635, "loss": 0.7017, "step": 17020 }, { "epoch": 14.9, "learning_rate": 0.00019075797872340422, "loss": 0.713, "step": 17030 }, { "epoch": 14.91, "learning_rate": 0.0001906914893617021, "loss": 0.8505, "step": 17040 }, { "epoch": 14.92, "learning_rate": 0.00019062499999999998, "loss": 0.7393, "step": 17050 }, { "epoch": 14.93, "learning_rate": 0.00019055851063829785, "loss": 0.8676, "step": 17060 }, { "epoch": 14.93, "learning_rate": 0.00019049202127659572, "loss": 0.6599, "step": 17070 }, { "epoch": 14.94, "learning_rate": 0.0001904255319148936, "loss": 0.808, "step": 17080 }, { "epoch": 14.95, "learning_rate": 0.00019035904255319146, "loss": 0.7492, "step": 17090 }, { "epoch": 14.96, "learning_rate": 0.00019029255319148933, "loss": 0.6244, "step": 17100 }, { "epoch": 14.97, "learning_rate": 0.0001902260638297872, "loss": 0.7312, "step": 17110 }, { "epoch": 14.98, "learning_rate": 0.00019015957446808507, "loss": 0.7036, "step": 17120 }, { "epoch": 14.99, "learning_rate": 0.00019009308510638297, "loss": 0.6583, "step": 17130 }, { "epoch": 15.0, "learning_rate": 0.00019002659574468084, "loss": 0.7847, "step": 17140 }, { "epoch": 15.0, "learning_rate": 0.0001899601063829787, "loss": 0.7587, "step": 17150 }, { "epoch": 15.01, "learning_rate": 0.00018989361702127658, "loss": 0.5985, "step": 17160 }, { "epoch": 15.02, "learning_rate": 0.00018982712765957445, "loss": 0.5428, "step": 17170 }, { "epoch": 15.03, "learning_rate": 0.00018976063829787232, "loss": 0.7111, "step": 17180 }, { "epoch": 15.04, "learning_rate": 0.0001896941489361702, "loss": 0.6093, "step": 17190 }, { "epoch": 15.05, "learning_rate": 0.00018962765957446806, "loss": 0.7919, "step": 17200 }, { "epoch": 15.06, "learning_rate": 0.00018956117021276596, "loss": 0.6537, "step": 17210 }, { "epoch": 15.07, "learning_rate": 0.00018949468085106383, "loss": 0.5033, "step": 17220 }, { "epoch": 15.07, "learning_rate": 0.0001894281914893617, "loss": 0.7868, "step": 17230 }, { "epoch": 15.08, "learning_rate": 0.00018936170212765957, "loss": 0.6799, "step": 17240 }, { "epoch": 15.09, "learning_rate": 0.00018929521276595744, "loss": 0.6626, "step": 17250 }, { "epoch": 15.1, "learning_rate": 0.0001892287234042553, "loss": 0.6801, "step": 17260 }, { "epoch": 15.11, "learning_rate": 0.00018916223404255318, "loss": 0.6047, "step": 17270 }, { "epoch": 15.12, "learning_rate": 0.00018909574468085105, "loss": 0.7759, "step": 17280 }, { "epoch": 15.13, "learning_rate": 0.00018902925531914894, "loss": 0.6011, "step": 17290 }, { "epoch": 15.14, "learning_rate": 0.0001889627659574468, "loss": 0.6787, "step": 17300 }, { "epoch": 15.14, "learning_rate": 0.00018889627659574468, "loss": 0.7185, "step": 17310 }, { "epoch": 15.15, "learning_rate": 0.00018882978723404255, "loss": 0.5043, "step": 17320 }, { "epoch": 15.16, "learning_rate": 0.00018876329787234042, "loss": 0.7851, "step": 17330 }, { "epoch": 15.17, "learning_rate": 0.0001886968085106383, "loss": 0.6158, "step": 17340 }, { "epoch": 15.18, "learning_rate": 0.00018863031914893613, "loss": 0.6477, "step": 17350 }, { "epoch": 15.19, "learning_rate": 0.000188563829787234, "loss": 0.6485, "step": 17360 }, { "epoch": 15.2, "learning_rate": 0.00018849734042553187, "loss": 0.5675, "step": 17370 }, { "epoch": 15.21, "learning_rate": 0.00018843085106382974, "loss": 0.774, "step": 17380 }, { "epoch": 15.21, "learning_rate": 0.00018836436170212764, "loss": 0.6351, "step": 17390 }, { "epoch": 15.22, "learning_rate": 0.0001882978723404255, "loss": 0.7172, "step": 17400 }, { "epoch": 15.22, "eval_cer1": 0.32098848789710005, "eval_cer2": 0.29401148482362593, "eval_cer3": 0.26703691604050966, "eval_cer4": 0.2685212015840819, "eval_cer5": 0.2905307855626327, "eval_loss": 1.1153998374938965, "eval_runtime": 1299.1031, "eval_samples_per_second": 6.743, "step": 17400 }, { "epoch": 15.23, "learning_rate": 0.00018823138297872338, "loss": 0.6856, "step": 17410 }, { "epoch": 15.24, "learning_rate": 0.00018816489361702125, "loss": 0.5883, "step": 17420 }, { "epoch": 15.25, "learning_rate": 0.00018809840425531912, "loss": 0.8231, "step": 17430 }, { "epoch": 15.26, "learning_rate": 0.000188031914893617, "loss": 0.6704, "step": 17440 }, { "epoch": 15.27, "learning_rate": 0.00018796542553191486, "loss": 0.7344, "step": 17450 }, { "epoch": 15.28, "learning_rate": 0.00018789893617021273, "loss": 0.7718, "step": 17460 }, { "epoch": 15.28, "learning_rate": 0.00018783244680851063, "loss": 0.5414, "step": 17470 }, { "epoch": 15.29, "learning_rate": 0.0001877659574468085, "loss": 0.7694, "step": 17480 }, { "epoch": 15.3, "learning_rate": 0.00018769946808510637, "loss": 0.5456, "step": 17490 }, { "epoch": 15.31, "learning_rate": 0.00018763297872340424, "loss": 0.6698, "step": 17500 }, { "epoch": 15.32, "learning_rate": 0.0001875664893617021, "loss": 0.697, "step": 17510 }, { "epoch": 15.33, "learning_rate": 0.00018749999999999998, "loss": 0.5647, "step": 17520 }, { "epoch": 15.34, "learning_rate": 0.00018743351063829785, "loss": 0.8236, "step": 17530 }, { "epoch": 15.35, "learning_rate": 0.00018736702127659574, "loss": 0.6323, "step": 17540 }, { "epoch": 15.35, "learning_rate": 0.0001873005319148936, "loss": 0.6286, "step": 17550 }, { "epoch": 15.36, "learning_rate": 0.00018723404255319148, "loss": 0.7415, "step": 17560 }, { "epoch": 15.37, "learning_rate": 0.00018716755319148935, "loss": 0.5495, "step": 17570 }, { "epoch": 15.38, "learning_rate": 0.00018710106382978722, "loss": 0.7731, "step": 17580 }, { "epoch": 15.39, "learning_rate": 0.0001870345744680851, "loss": 0.7555, "step": 17590 }, { "epoch": 15.4, "learning_rate": 0.00018696808510638296, "loss": 0.6797, "step": 17600 }, { "epoch": 15.41, "learning_rate": 0.00018690159574468083, "loss": 0.7008, "step": 17610 }, { "epoch": 15.42, "learning_rate": 0.00018683510638297873, "loss": 0.5672, "step": 17620 }, { "epoch": 15.42, "learning_rate": 0.0001867686170212766, "loss": 0.8127, "step": 17630 }, { "epoch": 15.43, "learning_rate": 0.00018670212765957447, "loss": 0.6467, "step": 17640 }, { "epoch": 15.44, "learning_rate": 0.00018663563829787234, "loss": 0.6344, "step": 17650 }, { "epoch": 15.45, "learning_rate": 0.0001865691489361702, "loss": 0.6963, "step": 17660 }, { "epoch": 15.46, "learning_rate": 0.00018650265957446808, "loss": 0.6144, "step": 17670 }, { "epoch": 15.47, "learning_rate": 0.00018643617021276595, "loss": 0.803, "step": 17680 }, { "epoch": 15.48, "learning_rate": 0.00018636968085106382, "loss": 0.6167, "step": 17690 }, { "epoch": 15.49, "learning_rate": 0.00018630319148936166, "loss": 0.6992, "step": 17700 }, { "epoch": 15.49, "learning_rate": 0.00018623670212765953, "loss": 0.6766, "step": 17710 }, { "epoch": 15.5, "learning_rate": 0.00018617021276595743, "loss": 0.6609, "step": 17720 }, { "epoch": 15.51, "learning_rate": 0.0001861037234042553, "loss": 0.8435, "step": 17730 }, { "epoch": 15.52, "learning_rate": 0.00018603723404255317, "loss": 0.6471, "step": 17740 }, { "epoch": 15.53, "learning_rate": 0.00018597074468085104, "loss": 0.8128, "step": 17750 }, { "epoch": 15.54, "learning_rate": 0.0001859042553191489, "loss": 0.6071, "step": 17760 }, { "epoch": 15.55, "learning_rate": 0.00018583776595744678, "loss": 0.5639, "step": 17770 }, { "epoch": 15.56, "learning_rate": 0.00018577127659574465, "loss": 0.8204, "step": 17780 }, { "epoch": 15.56, "learning_rate": 0.00018570478723404252, "loss": 0.6363, "step": 17790 }, { "epoch": 15.57, "learning_rate": 0.00018563829787234041, "loss": 0.631, "step": 17800 }, { "epoch": 15.58, "learning_rate": 0.00018557180851063828, "loss": 0.6795, "step": 17810 }, { "epoch": 15.59, "learning_rate": 0.00018550531914893615, "loss": 0.6171, "step": 17820 }, { "epoch": 15.6, "learning_rate": 0.00018543882978723402, "loss": 0.7451, "step": 17830 }, { "epoch": 15.61, "learning_rate": 0.0001853723404255319, "loss": 0.6931, "step": 17840 }, { "epoch": 15.62, "learning_rate": 0.00018530585106382976, "loss": 0.6954, "step": 17850 }, { "epoch": 15.63, "learning_rate": 0.00018523936170212763, "loss": 0.6735, "step": 17860 }, { "epoch": 15.63, "learning_rate": 0.0001851728723404255, "loss": 0.6475, "step": 17870 }, { "epoch": 15.64, "learning_rate": 0.0001851063829787234, "loss": 0.7984, "step": 17880 }, { "epoch": 15.65, "learning_rate": 0.00018503989361702127, "loss": 0.6117, "step": 17890 }, { "epoch": 15.66, "learning_rate": 0.00018497340425531914, "loss": 0.6654, "step": 17900 }, { "epoch": 15.67, "learning_rate": 0.000184906914893617, "loss": 0.73, "step": 17910 }, { "epoch": 15.68, "learning_rate": 0.00018484042553191488, "loss": 0.581, "step": 17920 }, { "epoch": 15.69, "learning_rate": 0.00018477393617021275, "loss": 0.7893, "step": 17930 }, { "epoch": 15.7, "learning_rate": 0.00018470744680851062, "loss": 0.6546, "step": 17940 }, { "epoch": 15.7, "learning_rate": 0.0001846409574468085, "loss": 0.6815, "step": 17950 }, { "epoch": 15.71, "learning_rate": 0.00018457446808510639, "loss": 0.7303, "step": 17960 }, { "epoch": 15.72, "learning_rate": 0.00018450797872340426, "loss": 0.5565, "step": 17970 }, { "epoch": 15.73, "learning_rate": 0.00018444148936170213, "loss": 0.8111, "step": 17980 }, { "epoch": 15.74, "learning_rate": 0.000184375, "loss": 0.6269, "step": 17990 }, { "epoch": 15.75, "learning_rate": 0.00018430851063829787, "loss": 0.7702, "step": 18000 }, { "epoch": 15.75, "eval_cer1": 0.31433780088450763, "eval_cer2": 0.29043478260869565, "eval_cer3": 0.2632799738647501, "eval_cer4": 0.26745870762097945, "eval_cer5": 0.29265392781316346, "eval_loss": 1.0847606658935547, "eval_runtime": 1306.6216, "eval_samples_per_second": 6.704, "step": 18000 }, { "epoch": 15.76, "learning_rate": 0.00018424202127659574, "loss": 0.7008, "step": 18010 }, { "epoch": 15.77, "learning_rate": 0.0001841755319148936, "loss": 0.6327, "step": 18020 }, { "epoch": 15.77, "learning_rate": 0.00018410904255319148, "loss": 0.8075, "step": 18030 }, { "epoch": 15.78, "learning_rate": 0.00018404255319148937, "loss": 0.5853, "step": 18040 }, { "epoch": 15.79, "learning_rate": 0.00018397606382978721, "loss": 0.7004, "step": 18050 }, { "epoch": 15.8, "learning_rate": 0.00018390957446808508, "loss": 0.6902, "step": 18060 }, { "epoch": 15.81, "learning_rate": 0.00018384308510638295, "loss": 0.6421, "step": 18070 }, { "epoch": 15.82, "learning_rate": 0.00018377659574468082, "loss": 0.7945, "step": 18080 }, { "epoch": 15.83, "learning_rate": 0.0001837101063829787, "loss": 0.6051, "step": 18090 }, { "epoch": 15.84, "learning_rate": 0.00018364361702127656, "loss": 0.7038, "step": 18100 }, { "epoch": 15.84, "learning_rate": 0.00018357712765957443, "loss": 0.6985, "step": 18110 }, { "epoch": 15.85, "learning_rate": 0.0001835106382978723, "loss": 0.6688, "step": 18120 }, { "epoch": 15.86, "learning_rate": 0.0001834441489361702, "loss": 0.7827, "step": 18130 }, { "epoch": 15.87, "learning_rate": 0.00018337765957446807, "loss": 0.6242, "step": 18140 }, { "epoch": 15.88, "learning_rate": 0.00018331117021276594, "loss": 0.6931, "step": 18150 }, { "epoch": 15.89, "learning_rate": 0.0001832446808510638, "loss": 0.7222, "step": 18160 }, { "epoch": 15.9, "learning_rate": 0.00018317819148936168, "loss": 0.628, "step": 18170 }, { "epoch": 15.91, "learning_rate": 0.00018311170212765955, "loss": 0.7439, "step": 18180 }, { "epoch": 15.91, "learning_rate": 0.00018304521276595742, "loss": 0.6832, "step": 18190 }, { "epoch": 15.92, "learning_rate": 0.0001829787234042553, "loss": 0.7124, "step": 18200 }, { "epoch": 15.93, "learning_rate": 0.0001829122340425532, "loss": 0.6517, "step": 18210 }, { "epoch": 15.94, "learning_rate": 0.00018284574468085106, "loss": 0.5765, "step": 18220 }, { "epoch": 15.95, "learning_rate": 0.00018277925531914893, "loss": 0.8116, "step": 18230 }, { "epoch": 15.96, "learning_rate": 0.0001827127659574468, "loss": 0.6687, "step": 18240 }, { "epoch": 15.97, "learning_rate": 0.00018264627659574467, "loss": 0.7591, "step": 18250 }, { "epoch": 15.98, "learning_rate": 0.00018257978723404254, "loss": 0.7089, "step": 18260 }, { "epoch": 15.98, "learning_rate": 0.0001825132978723404, "loss": 0.6328, "step": 18270 }, { "epoch": 15.99, "learning_rate": 0.00018244680851063828, "loss": 0.7318, "step": 18280 }, { "epoch": 16.0, "learning_rate": 0.00018238031914893617, "loss": 0.6638, "step": 18290 }, { "epoch": 16.01, "learning_rate": 0.00018231382978723404, "loss": 0.6638, "step": 18300 }, { "epoch": 16.02, "learning_rate": 0.0001822473404255319, "loss": 0.5222, "step": 18310 }, { "epoch": 16.03, "learning_rate": 0.00018218085106382978, "loss": 0.6836, "step": 18320 }, { "epoch": 16.04, "learning_rate": 0.00018211436170212765, "loss": 0.695, "step": 18330 }, { "epoch": 16.05, "learning_rate": 0.00018204787234042552, "loss": 0.5796, "step": 18340 }, { "epoch": 16.05, "learning_rate": 0.0001819813829787234, "loss": 0.7152, "step": 18350 }, { "epoch": 16.06, "learning_rate": 0.00018191489361702126, "loss": 0.4965, "step": 18360 }, { "epoch": 16.07, "learning_rate": 0.00018184840425531916, "loss": 0.6958, "step": 18370 }, { "epoch": 16.08, "learning_rate": 0.00018178191489361703, "loss": 0.6407, "step": 18380 }, { "epoch": 16.09, "learning_rate": 0.0001817154255319149, "loss": 0.4969, "step": 18390 }, { "epoch": 16.1, "learning_rate": 0.00018164893617021277, "loss": 0.788, "step": 18400 }, { "epoch": 16.11, "learning_rate": 0.0001815824468085106, "loss": 0.5648, "step": 18410 }, { "epoch": 16.12, "learning_rate": 0.00018151595744680848, "loss": 0.6607, "step": 18420 }, { "epoch": 16.12, "learning_rate": 0.00018144946808510635, "loss": 0.5947, "step": 18430 }, { "epoch": 16.13, "learning_rate": 0.00018138297872340422, "loss": 0.6444, "step": 18440 }, { "epoch": 16.14, "learning_rate": 0.0001813164893617021, "loss": 0.7331, "step": 18450 }, { "epoch": 16.15, "learning_rate": 0.00018124999999999996, "loss": 0.5287, "step": 18460 }, { "epoch": 16.16, "learning_rate": 0.00018118351063829786, "loss": 0.7092, "step": 18470 }, { "epoch": 16.17, "learning_rate": 0.00018111702127659573, "loss": 0.5647, "step": 18480 }, { "epoch": 16.18, "learning_rate": 0.0001810505319148936, "loss": 0.5094, "step": 18490 }, { "epoch": 16.19, "learning_rate": 0.00018098404255319147, "loss": 0.6664, "step": 18500 }, { "epoch": 16.19, "learning_rate": 0.00018091755319148934, "loss": 0.5014, "step": 18510 }, { "epoch": 16.2, "learning_rate": 0.0001808510638297872, "loss": 0.6867, "step": 18520 }, { "epoch": 16.21, "learning_rate": 0.00018078457446808508, "loss": 0.5517, "step": 18530 }, { "epoch": 16.22, "learning_rate": 0.00018071808510638295, "loss": 0.5359, "step": 18540 }, { "epoch": 16.23, "learning_rate": 0.00018065159574468084, "loss": 0.661, "step": 18550 }, { "epoch": 16.24, "learning_rate": 0.0001805851063829787, "loss": 0.6095, "step": 18560 }, { "epoch": 16.25, "learning_rate": 0.00018051861702127658, "loss": 0.6484, "step": 18570 }, { "epoch": 16.26, "learning_rate": 0.00018045212765957445, "loss": 0.639, "step": 18580 }, { "epoch": 16.26, "learning_rate": 0.00018038563829787232, "loss": 0.5913, "step": 18590 }, { "epoch": 16.27, "learning_rate": 0.0001803191489361702, "loss": 0.6988, "step": 18600 }, { "epoch": 16.27, "eval_cer1": 0.30761959420681273, "eval_cer2": 0.28213289581624285, "eval_cer3": 0.25655014701078077, "eval_cer4": 0.26105154705560385, "eval_cer5": 0.2865392781316348, "eval_loss": 1.09721839427948, "eval_runtime": 1356.4898, "eval_samples_per_second": 6.458, "step": 18600 }, { "epoch": 16.28, "learning_rate": 0.00018025265957446806, "loss": 0.5915, "step": 18610 }, { "epoch": 16.29, "learning_rate": 0.00018018617021276593, "loss": 0.6926, "step": 18620 }, { "epoch": 16.3, "learning_rate": 0.00018011968085106383, "loss": 0.5834, "step": 18630 }, { "epoch": 16.31, "learning_rate": 0.0001800531914893617, "loss": 0.5907, "step": 18640 }, { "epoch": 16.32, "learning_rate": 0.00017998670212765957, "loss": 0.653, "step": 18650 }, { "epoch": 16.33, "learning_rate": 0.00017992021276595744, "loss": 0.4958, "step": 18660 }, { "epoch": 16.33, "learning_rate": 0.0001798537234042553, "loss": 0.6977, "step": 18670 }, { "epoch": 16.34, "learning_rate": 0.00017978723404255318, "loss": 0.5907, "step": 18680 }, { "epoch": 16.35, "learning_rate": 0.00017972074468085105, "loss": 0.5366, "step": 18690 }, { "epoch": 16.36, "learning_rate": 0.00017965425531914895, "loss": 0.6171, "step": 18700 }, { "epoch": 16.37, "learning_rate": 0.00017958776595744682, "loss": 0.5782, "step": 18710 }, { "epoch": 16.38, "learning_rate": 0.00017952127659574469, "loss": 0.7277, "step": 18720 }, { "epoch": 16.39, "learning_rate": 0.00017945478723404256, "loss": 0.599, "step": 18730 }, { "epoch": 16.4, "learning_rate": 0.00017938829787234042, "loss": 0.6258, "step": 18740 }, { "epoch": 16.4, "learning_rate": 0.0001793218085106383, "loss": 0.7215, "step": 18750 }, { "epoch": 16.41, "learning_rate": 0.00017925531914893614, "loss": 0.6798, "step": 18760 }, { "epoch": 16.42, "learning_rate": 0.000179188829787234, "loss": 0.7162, "step": 18770 }, { "epoch": 16.43, "learning_rate": 0.00017912234042553188, "loss": 0.6553, "step": 18780 }, { "epoch": 16.44, "learning_rate": 0.00017905585106382975, "loss": 0.6856, "step": 18790 }, { "epoch": 16.45, "learning_rate": 0.00017898936170212764, "loss": 0.7643, "step": 18800 }, { "epoch": 16.46, "learning_rate": 0.00017892287234042551, "loss": 0.5566, "step": 18810 }, { "epoch": 16.47, "learning_rate": 0.00017885638297872338, "loss": 0.7172, "step": 18820 }, { "epoch": 16.47, "learning_rate": 0.00017878989361702125, "loss": 0.6327, "step": 18830 }, { "epoch": 16.48, "learning_rate": 0.00017872340425531912, "loss": 0.5931, "step": 18840 }, { "epoch": 16.49, "learning_rate": 0.000178656914893617, "loss": 0.7674, "step": 18850 }, { "epoch": 16.5, "learning_rate": 0.00017859042553191486, "loss": 0.6399, "step": 18860 }, { "epoch": 16.51, "learning_rate": 0.00017852393617021273, "loss": 0.6949, "step": 18870 }, { "epoch": 16.52, "learning_rate": 0.00017845744680851063, "loss": 0.6445, "step": 18880 }, { "epoch": 16.53, "learning_rate": 0.0001783909574468085, "loss": 0.6549, "step": 18890 }, { "epoch": 16.54, "learning_rate": 0.00017832446808510637, "loss": 0.7729, "step": 18900 }, { "epoch": 16.54, "learning_rate": 0.00017825797872340424, "loss": 0.633, "step": 18910 }, { "epoch": 16.55, "learning_rate": 0.0001781914893617021, "loss": 0.6874, "step": 18920 }, { "epoch": 16.56, "learning_rate": 0.00017812499999999998, "loss": 0.6257, "step": 18930 }, { "epoch": 16.57, "learning_rate": 0.00017805851063829785, "loss": 0.5936, "step": 18940 }, { "epoch": 16.58, "learning_rate": 0.00017799202127659572, "loss": 0.641, "step": 18950 }, { "epoch": 16.59, "learning_rate": 0.00017792553191489362, "loss": 0.6255, "step": 18960 }, { "epoch": 16.6, "learning_rate": 0.00017785904255319149, "loss": 0.6819, "step": 18970 }, { "epoch": 16.61, "learning_rate": 0.00017779255319148936, "loss": 0.6004, "step": 18980 }, { "epoch": 16.61, "learning_rate": 0.00017772606382978723, "loss": 0.6377, "step": 18990 }, { "epoch": 16.62, "learning_rate": 0.0001776595744680851, "loss": 0.6806, "step": 19000 }, { "epoch": 16.63, "learning_rate": 0.00017759308510638297, "loss": 0.5278, "step": 19010 }, { "epoch": 16.64, "learning_rate": 0.00017752659574468084, "loss": 0.7199, "step": 19020 }, { "epoch": 16.65, "learning_rate": 0.0001774601063829787, "loss": 0.6461, "step": 19030 }, { "epoch": 16.66, "learning_rate": 0.0001773936170212766, "loss": 0.6685, "step": 19040 }, { "epoch": 16.67, "learning_rate": 0.00017732712765957447, "loss": 0.6724, "step": 19050 }, { "epoch": 16.68, "learning_rate": 0.00017726063829787234, "loss": 0.6025, "step": 19060 }, { "epoch": 16.68, "learning_rate": 0.0001771941489361702, "loss": 0.6563, "step": 19070 }, { "epoch": 16.69, "learning_rate": 0.00017712765957446808, "loss": 0.5758, "step": 19080 }, { "epoch": 16.7, "learning_rate": 0.00017706117021276595, "loss": 0.6007, "step": 19090 }, { "epoch": 16.71, "learning_rate": 0.00017699468085106382, "loss": 0.6902, "step": 19100 }, { "epoch": 16.72, "learning_rate": 0.00017692819148936166, "loss": 0.5635, "step": 19110 }, { "epoch": 16.73, "learning_rate": 0.00017686170212765953, "loss": 0.6664, "step": 19120 }, { "epoch": 16.74, "learning_rate": 0.0001767952127659574, "loss": 0.6562, "step": 19130 }, { "epoch": 16.75, "learning_rate": 0.0001767287234042553, "loss": 0.5369, "step": 19140 }, { "epoch": 16.75, "learning_rate": 0.00017666223404255317, "loss": 0.6635, "step": 19150 }, { "epoch": 16.76, "learning_rate": 0.00017659574468085104, "loss": 0.5872, "step": 19160 }, { "epoch": 16.77, "learning_rate": 0.0001765292553191489, "loss": 0.6556, "step": 19170 }, { "epoch": 16.78, "learning_rate": 0.00017646276595744678, "loss": 0.6334, "step": 19180 }, { "epoch": 16.79, "learning_rate": 0.00017639627659574465, "loss": 0.5418, "step": 19190 }, { "epoch": 16.8, "learning_rate": 0.00017632978723404252, "loss": 0.7411, "step": 19200 }, { "epoch": 16.8, "eval_cer1": 0.30410857162148475, "eval_cer2": 0.2792780968006563, "eval_cer3": 0.25354459327017315, "eval_cer4": 0.2581860330339032, "eval_cer5": 0.2791507430997877, "eval_loss": 1.0727698802947998, "eval_runtime": 1267.8518, "eval_samples_per_second": 6.909, "step": 19200 }, { "epoch": 16.81, "learning_rate": 0.00017626329787234042, "loss": 0.4841, "step": 19210 }, { "epoch": 16.82, "learning_rate": 0.0001761968085106383, "loss": 0.7058, "step": 19220 }, { "epoch": 16.82, "learning_rate": 0.00017613031914893616, "loss": 0.6341, "step": 19230 }, { "epoch": 16.83, "learning_rate": 0.00017606382978723403, "loss": 0.539, "step": 19240 }, { "epoch": 16.84, "learning_rate": 0.0001759973404255319, "loss": 0.6752, "step": 19250 }, { "epoch": 16.85, "learning_rate": 0.00017593085106382977, "loss": 0.6126, "step": 19260 }, { "epoch": 16.86, "learning_rate": 0.00017586436170212764, "loss": 0.6215, "step": 19270 }, { "epoch": 16.87, "learning_rate": 0.0001757978723404255, "loss": 0.6387, "step": 19280 }, { "epoch": 16.88, "learning_rate": 0.0001757313829787234, "loss": 0.5976, "step": 19290 }, { "epoch": 16.89, "learning_rate": 0.00017566489361702127, "loss": 0.6805, "step": 19300 }, { "epoch": 16.89, "learning_rate": 0.00017559840425531914, "loss": 0.5206, "step": 19310 }, { "epoch": 16.9, "learning_rate": 0.000175531914893617, "loss": 0.663, "step": 19320 }, { "epoch": 16.91, "learning_rate": 0.00017546542553191488, "loss": 0.6756, "step": 19330 }, { "epoch": 16.92, "learning_rate": 0.00017539893617021275, "loss": 0.5813, "step": 19340 }, { "epoch": 16.93, "learning_rate": 0.00017533244680851062, "loss": 0.6291, "step": 19350 }, { "epoch": 16.94, "learning_rate": 0.0001752659574468085, "loss": 0.5561, "step": 19360 }, { "epoch": 16.95, "learning_rate": 0.0001751994680851064, "loss": 0.6612, "step": 19370 }, { "epoch": 16.95, "learning_rate": 0.00017513297872340426, "loss": 0.6275, "step": 19380 }, { "epoch": 16.96, "learning_rate": 0.00017506648936170213, "loss": 0.6135, "step": 19390 }, { "epoch": 16.97, "learning_rate": 0.000175, "loss": 0.6872, "step": 19400 }, { "epoch": 16.98, "learning_rate": 0.00017493351063829787, "loss": 0.5953, "step": 19410 }, { "epoch": 16.99, "learning_rate": 0.00017486702127659574, "loss": 0.6236, "step": 19420 }, { "epoch": 17.0, "learning_rate": 0.0001748005319148936, "loss": 0.5999, "step": 19430 }, { "epoch": 17.01, "learning_rate": 0.00017473404255319148, "loss": 0.7181, "step": 19440 }, { "epoch": 17.02, "learning_rate": 0.00017466755319148937, "loss": 0.4609, "step": 19450 }, { "epoch": 17.03, "learning_rate": 0.0001746010638297872, "loss": 0.5641, "step": 19460 }, { "epoch": 17.03, "learning_rate": 0.0001745345744680851, "loss": 0.6709, "step": 19470 }, { "epoch": 17.04, "learning_rate": 0.00017446808510638296, "loss": 0.5105, "step": 19480 }, { "epoch": 17.05, "learning_rate": 0.00017440159574468083, "loss": 0.691, "step": 19490 }, { "epoch": 17.06, "learning_rate": 0.0001743351063829787, "loss": 0.5724, "step": 19500 }, { "epoch": 17.07, "learning_rate": 0.00017426861702127657, "loss": 0.591, "step": 19510 }, { "epoch": 17.08, "learning_rate": 0.00017420212765957444, "loss": 0.609, "step": 19520 }, { "epoch": 17.09, "learning_rate": 0.0001741356382978723, "loss": 0.438, "step": 19530 }, { "epoch": 17.1, "learning_rate": 0.00017406914893617018, "loss": 0.6271, "step": 19540 }, { "epoch": 17.1, "learning_rate": 0.00017400265957446807, "loss": 0.4815, "step": 19550 }, { "epoch": 17.11, "learning_rate": 0.00017393617021276594, "loss": 0.5926, "step": 19560 }, { "epoch": 17.12, "learning_rate": 0.0001738696808510638, "loss": 0.6588, "step": 19570 }, { "epoch": 17.13, "learning_rate": 0.00017380319148936168, "loss": 0.508, "step": 19580 }, { "epoch": 17.14, "learning_rate": 0.00017373670212765955, "loss": 0.7072, "step": 19590 }, { "epoch": 17.15, "learning_rate": 0.00017367021276595742, "loss": 0.5317, "step": 19600 }, { "epoch": 17.16, "learning_rate": 0.0001736037234042553, "loss": 0.5451, "step": 19610 }, { "epoch": 17.17, "learning_rate": 0.00017353723404255316, "loss": 0.6444, "step": 19620 }, { "epoch": 17.17, "learning_rate": 0.00017347074468085106, "loss": 0.4646, "step": 19630 }, { "epoch": 17.18, "learning_rate": 0.00017340425531914893, "loss": 0.688, "step": 19640 }, { "epoch": 17.19, "learning_rate": 0.0001733377659574468, "loss": 0.5198, "step": 19650 }, { "epoch": 17.2, "learning_rate": 0.00017327127659574467, "loss": 0.5481, "step": 19660 }, { "epoch": 17.21, "learning_rate": 0.00017320478723404254, "loss": 0.6149, "step": 19670 }, { "epoch": 17.22, "learning_rate": 0.0001731382978723404, "loss": 0.4111, "step": 19680 }, { "epoch": 17.23, "learning_rate": 0.00017307180851063828, "loss": 0.6803, "step": 19690 }, { "epoch": 17.24, "learning_rate": 0.00017300531914893615, "loss": 0.5039, "step": 19700 }, { "epoch": 17.24, "learning_rate": 0.00017293882978723405, "loss": 0.5473, "step": 19710 }, { "epoch": 17.25, "learning_rate": 0.00017287234042553192, "loss": 0.6094, "step": 19720 }, { "epoch": 17.26, "learning_rate": 0.00017280585106382978, "loss": 0.4418, "step": 19730 }, { "epoch": 17.27, "learning_rate": 0.00017273936170212765, "loss": 0.6492, "step": 19740 }, { "epoch": 17.28, "learning_rate": 0.00017267287234042552, "loss": 0.4409, "step": 19750 }, { "epoch": 17.29, "learning_rate": 0.0001726063829787234, "loss": 0.6032, "step": 19760 }, { "epoch": 17.3, "learning_rate": 0.00017253989361702126, "loss": 0.6344, "step": 19770 }, { "epoch": 17.31, "learning_rate": 0.00017247340425531913, "loss": 0.4213, "step": 19780 }, { "epoch": 17.31, "learning_rate": 0.00017240691489361703, "loss": 0.6445, "step": 19790 }, { "epoch": 17.32, "learning_rate": 0.0001723404255319149, "loss": 0.5581, "step": 19800 }, { "epoch": 17.32, "eval_cer1": 0.293744303028257, "eval_cer2": 0.27212469237079573, "eval_cer3": 0.24900359359686378, "eval_cer4": 0.2519720531890917, "eval_cer5": 0.27176220806794055, "eval_loss": 1.0701156854629517, "eval_runtime": 1280.4428, "eval_samples_per_second": 6.841, "step": 19800 }, { "epoch": 17.33, "learning_rate": 0.00017227393617021277, "loss": 0.5871, "step": 19810 }, { "epoch": 17.34, "learning_rate": 0.00017220744680851061, "loss": 0.6256, "step": 19820 }, { "epoch": 17.35, "learning_rate": 0.00017214095744680848, "loss": 0.5534, "step": 19830 }, { "epoch": 17.36, "learning_rate": 0.00017207446808510635, "loss": 0.6941, "step": 19840 }, { "epoch": 17.37, "learning_rate": 0.00017200797872340422, "loss": 0.5746, "step": 19850 }, { "epoch": 17.38, "learning_rate": 0.0001719414893617021, "loss": 0.626, "step": 19860 }, { "epoch": 17.38, "learning_rate": 0.00017187499999999996, "loss": 0.5767, "step": 19870 }, { "epoch": 17.39, "learning_rate": 0.00017180851063829786, "loss": 0.4722, "step": 19880 }, { "epoch": 17.4, "learning_rate": 0.00017174202127659573, "loss": 0.6618, "step": 19890 }, { "epoch": 17.41, "learning_rate": 0.0001716755319148936, "loss": 0.5226, "step": 19900 }, { "epoch": 17.42, "learning_rate": 0.00017160904255319147, "loss": 0.5725, "step": 19910 }, { "epoch": 17.43, "learning_rate": 0.00017154255319148934, "loss": 0.5988, "step": 19920 }, { "epoch": 17.44, "learning_rate": 0.0001714760638297872, "loss": 0.4122, "step": 19930 }, { "epoch": 17.45, "learning_rate": 0.00017140957446808508, "loss": 0.7243, "step": 19940 }, { "epoch": 17.45, "learning_rate": 0.00017134308510638295, "loss": 0.6179, "step": 19950 }, { "epoch": 17.46, "learning_rate": 0.00017127659574468085, "loss": 0.6005, "step": 19960 }, { "epoch": 17.47, "learning_rate": 0.00017121010638297872, "loss": 0.5023, "step": 19970 }, { "epoch": 17.48, "learning_rate": 0.00017114361702127659, "loss": 0.4566, "step": 19980 }, { "epoch": 17.49, "learning_rate": 0.00017107712765957446, "loss": 0.6697, "step": 19990 }, { "epoch": 17.5, "learning_rate": 0.00017101063829787233, "loss": 0.5555, "step": 20000 }, { "epoch": 17.51, "learning_rate": 0.0001709441489361702, "loss": 0.5743, "step": 20010 }, { "epoch": 17.52, "learning_rate": 0.00017087765957446807, "loss": 0.675, "step": 20020 }, { "epoch": 17.52, "learning_rate": 0.00017081117021276593, "loss": 0.5662, "step": 20030 }, { "epoch": 17.53, "learning_rate": 0.00017074468085106383, "loss": 0.6109, "step": 20040 }, { "epoch": 17.54, "learning_rate": 0.0001706781914893617, "loss": 0.521, "step": 20050 }, { "epoch": 17.55, "learning_rate": 0.00017061170212765957, "loss": 0.5853, "step": 20060 }, { "epoch": 17.56, "learning_rate": 0.00017054521276595744, "loss": 0.5989, "step": 20070 }, { "epoch": 17.57, "learning_rate": 0.0001704787234042553, "loss": 0.5808, "step": 20080 }, { "epoch": 17.58, "learning_rate": 0.00017041223404255318, "loss": 0.6298, "step": 20090 }, { "epoch": 17.59, "learning_rate": 0.00017034574468085105, "loss": 0.5581, "step": 20100 }, { "epoch": 17.59, "learning_rate": 0.00017027925531914892, "loss": 0.5618, "step": 20110 }, { "epoch": 17.6, "learning_rate": 0.00017021276595744682, "loss": 0.6126, "step": 20120 }, { "epoch": 17.61, "learning_rate": 0.0001701462765957447, "loss": 0.4804, "step": 20130 }, { "epoch": 17.62, "learning_rate": 0.00017007978723404256, "loss": 0.7326, "step": 20140 }, { "epoch": 17.63, "learning_rate": 0.00017001329787234043, "loss": 0.5373, "step": 20150 }, { "epoch": 17.64, "learning_rate": 0.0001699468085106383, "loss": 0.5139, "step": 20160 }, { "epoch": 17.65, "learning_rate": 0.00016988031914893614, "loss": 0.6478, "step": 20170 }, { "epoch": 17.66, "learning_rate": 0.000169813829787234, "loss": 0.474, "step": 20180 }, { "epoch": 17.66, "learning_rate": 0.00016974734042553188, "loss": 0.7799, "step": 20190 }, { "epoch": 17.67, "learning_rate": 0.00016968085106382975, "loss": 0.5146, "step": 20200 }, { "epoch": 17.68, "learning_rate": 0.00016961436170212762, "loss": 0.5379, "step": 20210 }, { "epoch": 17.69, "learning_rate": 0.00016954787234042552, "loss": 0.5497, "step": 20220 }, { "epoch": 17.7, "learning_rate": 0.00016948138297872339, "loss": 0.4726, "step": 20230 }, { "epoch": 17.71, "learning_rate": 0.00016941489361702126, "loss": 0.602, "step": 20240 }, { "epoch": 17.72, "learning_rate": 0.00016934840425531913, "loss": 0.6149, "step": 20250 }, { "epoch": 17.72, "learning_rate": 0.000169281914893617, "loss": 0.607, "step": 20260 }, { "epoch": 17.73, "learning_rate": 0.00016921542553191487, "loss": 0.6173, "step": 20270 }, { "epoch": 17.74, "learning_rate": 0.00016914893617021274, "loss": 0.5137, "step": 20280 }, { "epoch": 17.75, "learning_rate": 0.0001690824468085106, "loss": 0.6965, "step": 20290 }, { "epoch": 17.76, "learning_rate": 0.0001690159574468085, "loss": 0.6567, "step": 20300 }, { "epoch": 17.77, "learning_rate": 0.00016894946808510637, "loss": 0.525, "step": 20310 }, { "epoch": 17.78, "learning_rate": 0.00016888297872340424, "loss": 0.5644, "step": 20320 }, { "epoch": 17.79, "learning_rate": 0.0001688164893617021, "loss": 0.4628, "step": 20330 }, { "epoch": 17.79, "learning_rate": 0.00016874999999999998, "loss": 0.6595, "step": 20340 }, { "epoch": 17.8, "learning_rate": 0.00016868351063829785, "loss": 0.5256, "step": 20350 }, { "epoch": 17.81, "learning_rate": 0.00016861702127659572, "loss": 0.5931, "step": 20360 }, { "epoch": 17.82, "learning_rate": 0.00016855053191489362, "loss": 0.6076, "step": 20370 }, { "epoch": 17.83, "learning_rate": 0.0001684840425531915, "loss": 0.5627, "step": 20380 }, { "epoch": 17.84, "learning_rate": 0.00016841755319148936, "loss": 0.6577, "step": 20390 }, { "epoch": 17.85, "learning_rate": 0.00016835106382978723, "loss": 0.5341, "step": 20400 }, { "epoch": 17.85, "eval_cer1": 0.2937105431957058, "eval_cer2": 0.26989335520918784, "eval_cer3": 0.2455080039202875, "eval_cer4": 0.24756109340287838, "eval_cer5": 0.270828025477707, "eval_loss": 1.049605369567871, "eval_runtime": 1274.4878, "eval_samples_per_second": 6.873, "step": 20400 }, { "epoch": 17.86, "learning_rate": 0.0001682845744680851, "loss": 0.5403, "step": 20410 }, { "epoch": 17.86, "learning_rate": 0.00016821808510638297, "loss": 0.6146, "step": 20420 }, { "epoch": 17.87, "learning_rate": 0.00016815159574468084, "loss": 0.4637, "step": 20430 }, { "epoch": 17.88, "learning_rate": 0.0001680851063829787, "loss": 0.6556, "step": 20440 }, { "epoch": 17.89, "learning_rate": 0.0001680186170212766, "loss": 0.4853, "step": 20450 }, { "epoch": 17.9, "learning_rate": 0.00016795212765957447, "loss": 0.5586, "step": 20460 }, { "epoch": 17.91, "learning_rate": 0.00016788563829787234, "loss": 0.5801, "step": 20470 }, { "epoch": 17.92, "learning_rate": 0.00016781914893617021, "loss": 0.4773, "step": 20480 }, { "epoch": 17.93, "learning_rate": 0.00016775265957446808, "loss": 0.6119, "step": 20490 }, { "epoch": 17.93, "learning_rate": 0.00016768617021276595, "loss": 0.5564, "step": 20500 }, { "epoch": 17.94, "learning_rate": 0.00016761968085106382, "loss": 0.5668, "step": 20510 }, { "epoch": 17.95, "learning_rate": 0.00016755319148936167, "loss": 0.5677, "step": 20520 }, { "epoch": 17.96, "learning_rate": 0.00016748670212765954, "loss": 0.5402, "step": 20530 }, { "epoch": 17.97, "learning_rate": 0.0001674202127659574, "loss": 0.6511, "step": 20540 }, { "epoch": 17.98, "learning_rate": 0.0001673537234042553, "loss": 0.499, "step": 20550 }, { "epoch": 17.99, "learning_rate": 0.00016728723404255317, "loss": 0.5473, "step": 20560 }, { "epoch": 18.0, "learning_rate": 0.00016722074468085104, "loss": 0.5949, "step": 20570 }, { "epoch": 18.01, "learning_rate": 0.0001671542553191489, "loss": 0.5791, "step": 20580 }, { "epoch": 18.01, "learning_rate": 0.00016708776595744678, "loss": 0.5072, "step": 20590 }, { "epoch": 18.02, "learning_rate": 0.00016702127659574465, "loss": 0.458, "step": 20600 }, { "epoch": 18.03, "learning_rate": 0.00016695478723404252, "loss": 0.6587, "step": 20610 }, { "epoch": 18.04, "learning_rate": 0.0001668882978723404, "loss": 0.4883, "step": 20620 }, { "epoch": 18.05, "learning_rate": 0.0001668218085106383, "loss": 0.5607, "step": 20630 }, { "epoch": 18.06, "learning_rate": 0.00016675531914893616, "loss": 0.4844, "step": 20640 }, { "epoch": 18.07, "learning_rate": 0.00016668882978723403, "loss": 0.3625, "step": 20650 }, { "epoch": 18.08, "learning_rate": 0.0001666223404255319, "loss": 0.594, "step": 20660 }, { "epoch": 18.08, "learning_rate": 0.00016655585106382977, "loss": 0.5494, "step": 20670 }, { "epoch": 18.09, "learning_rate": 0.00016648936170212764, "loss": 0.6277, "step": 20680 }, { "epoch": 18.1, "learning_rate": 0.0001664228723404255, "loss": 0.5218, "step": 20690 }, { "epoch": 18.11, "learning_rate": 0.00016635638297872338, "loss": 0.4139, "step": 20700 }, { "epoch": 18.12, "learning_rate": 0.00016628989361702128, "loss": 0.6951, "step": 20710 }, { "epoch": 18.13, "learning_rate": 0.00016622340425531914, "loss": 0.4451, "step": 20720 }, { "epoch": 18.14, "learning_rate": 0.00016615691489361701, "loss": 0.5954, "step": 20730 }, { "epoch": 18.15, "learning_rate": 0.00016609042553191488, "loss": 0.489, "step": 20740 }, { "epoch": 18.15, "learning_rate": 0.00016602393617021275, "loss": 0.4223, "step": 20750 }, { "epoch": 18.16, "learning_rate": 0.00016595744680851062, "loss": 0.6112, "step": 20760 }, { "epoch": 18.17, "learning_rate": 0.0001658909574468085, "loss": 0.5304, "step": 20770 }, { "epoch": 18.18, "learning_rate": 0.00016582446808510636, "loss": 0.5065, "step": 20780 }, { "epoch": 18.19, "learning_rate": 0.00016575797872340426, "loss": 0.4905, "step": 20790 }, { "epoch": 18.2, "learning_rate": 0.00016569148936170213, "loss": 0.5118, "step": 20800 }, { "epoch": 18.21, "learning_rate": 0.000165625, "loss": 0.659, "step": 20810 }, { "epoch": 18.22, "learning_rate": 0.00016555851063829787, "loss": 0.4521, "step": 20820 }, { "epoch": 18.22, "learning_rate": 0.00016549202127659574, "loss": 0.4849, "step": 20830 }, { "epoch": 18.23, "learning_rate": 0.0001654255319148936, "loss": 0.4451, "step": 20840 }, { "epoch": 18.24, "learning_rate": 0.00016535904255319148, "loss": 0.4317, "step": 20850 }, { "epoch": 18.25, "learning_rate": 0.00016529255319148935, "loss": 0.6025, "step": 20860 }, { "epoch": 18.26, "learning_rate": 0.0001652260638297872, "loss": 0.4809, "step": 20870 }, { "epoch": 18.27, "learning_rate": 0.0001651595744680851, "loss": 0.5499, "step": 20880 }, { "epoch": 18.28, "learning_rate": 0.00016509308510638296, "loss": 0.5277, "step": 20890 }, { "epoch": 18.29, "learning_rate": 0.00016502659574468083, "loss": 0.4754, "step": 20900 }, { "epoch": 18.29, "learning_rate": 0.0001649601063829787, "loss": 0.6204, "step": 20910 }, { "epoch": 18.3, "learning_rate": 0.00016489361702127657, "loss": 0.5341, "step": 20920 }, { "epoch": 18.31, "learning_rate": 0.00016482712765957444, "loss": 0.572, "step": 20930 }, { "epoch": 18.32, "learning_rate": 0.0001647606382978723, "loss": 0.5581, "step": 20940 }, { "epoch": 18.33, "learning_rate": 0.00016469414893617018, "loss": 0.5132, "step": 20950 }, { "epoch": 18.34, "learning_rate": 0.00016462765957446808, "loss": 0.6132, "step": 20960 }, { "epoch": 18.35, "learning_rate": 0.00016456117021276595, "loss": 0.4311, "step": 20970 }, { "epoch": 18.36, "learning_rate": 0.00016449468085106382, "loss": 0.5897, "step": 20980 }, { "epoch": 18.36, "learning_rate": 0.00016442819148936169, "loss": 0.52, "step": 20990 }, { "epoch": 18.37, "learning_rate": 0.00016436170212765956, "loss": 0.5028, "step": 21000 }, { "epoch": 18.37, "eval_cer1": 0.29526349549306236, "eval_cer2": 0.26733388022969645, "eval_cer3": 0.2455733420450833, "eval_cer4": 0.24488876010174185, "eval_cer5": 0.2694692144373673, "eval_loss": 1.0593605041503906, "eval_runtime": 1289.2115, "eval_samples_per_second": 6.795, "step": 21000 }, { "epoch": 18.38, "learning_rate": 0.00016429521276595743, "loss": 0.5897, "step": 21010 }, { "epoch": 18.39, "learning_rate": 0.0001642287234042553, "loss": 0.3999, "step": 21020 }, { "epoch": 18.4, "learning_rate": 0.00016416223404255316, "loss": 0.5383, "step": 21030 }, { "epoch": 18.41, "learning_rate": 0.00016409574468085106, "loss": 0.6265, "step": 21040 }, { "epoch": 18.42, "learning_rate": 0.00016402925531914893, "loss": 0.4316, "step": 21050 }, { "epoch": 18.43, "learning_rate": 0.0001639627659574468, "loss": 0.5767, "step": 21060 }, { "epoch": 18.43, "learning_rate": 0.00016389627659574467, "loss": 0.4826, "step": 21070 }, { "epoch": 18.44, "learning_rate": 0.00016382978723404254, "loss": 0.4948, "step": 21080 }, { "epoch": 18.45, "learning_rate": 0.0001637632978723404, "loss": 0.5146, "step": 21090 }, { "epoch": 18.46, "learning_rate": 0.00016369680851063828, "loss": 0.4797, "step": 21100 }, { "epoch": 18.47, "learning_rate": 0.00016363031914893615, "loss": 0.5347, "step": 21110 }, { "epoch": 18.48, "learning_rate": 0.00016356382978723405, "loss": 0.4746, "step": 21120 }, { "epoch": 18.49, "learning_rate": 0.00016349734042553192, "loss": 0.5058, "step": 21130 }, { "epoch": 18.49, "learning_rate": 0.0001634308510638298, "loss": 0.5457, "step": 21140 }, { "epoch": 18.5, "learning_rate": 0.00016336436170212766, "loss": 0.4463, "step": 21150 }, { "epoch": 18.51, "learning_rate": 0.00016329787234042553, "loss": 0.6715, "step": 21160 }, { "epoch": 18.52, "learning_rate": 0.0001632313829787234, "loss": 0.4169, "step": 21170 }, { "epoch": 18.53, "learning_rate": 0.00016316489361702127, "loss": 0.6026, "step": 21180 }, { "epoch": 18.54, "learning_rate": 0.00016309840425531914, "loss": 0.5468, "step": 21190 }, { "epoch": 18.55, "learning_rate": 0.00016303191489361703, "loss": 0.4206, "step": 21200 }, { "epoch": 18.56, "learning_rate": 0.0001629654255319149, "loss": 0.6104, "step": 21210 }, { "epoch": 18.56, "learning_rate": 0.00016289893617021277, "loss": 0.4292, "step": 21220 }, { "epoch": 18.57, "learning_rate": 0.00016283244680851062, "loss": 0.605, "step": 21230 }, { "epoch": 18.58, "learning_rate": 0.00016276595744680849, "loss": 0.4774, "step": 21240 }, { "epoch": 18.59, "learning_rate": 0.00016269946808510636, "loss": 0.506, "step": 21250 }, { "epoch": 18.6, "learning_rate": 0.00016263297872340423, "loss": 0.6354, "step": 21260 }, { "epoch": 18.61, "learning_rate": 0.0001625664893617021, "loss": 0.4327, "step": 21270 }, { "epoch": 18.62, "learning_rate": 0.00016249999999999997, "loss": 0.6283, "step": 21280 }, { "epoch": 18.63, "learning_rate": 0.00016243351063829784, "loss": 0.5527, "step": 21290 }, { "epoch": 18.63, "learning_rate": 0.00016236702127659573, "loss": 0.3719, "step": 21300 }, { "epoch": 18.64, "learning_rate": 0.0001623005319148936, "loss": 0.5809, "step": 21310 }, { "epoch": 18.65, "learning_rate": 0.00016223404255319147, "loss": 0.4923, "step": 21320 }, { "epoch": 18.66, "learning_rate": 0.00016216755319148934, "loss": 0.5081, "step": 21330 }, { "epoch": 18.67, "learning_rate": 0.0001621010638297872, "loss": 0.5454, "step": 21340 }, { "epoch": 18.68, "learning_rate": 0.00016203457446808508, "loss": 0.3996, "step": 21350 }, { "epoch": 18.69, "learning_rate": 0.00016196808510638295, "loss": 0.606, "step": 21360 }, { "epoch": 18.7, "learning_rate": 0.00016190159574468082, "loss": 0.4586, "step": 21370 }, { "epoch": 18.7, "learning_rate": 0.00016183510638297872, "loss": 0.6339, "step": 21380 }, { "epoch": 18.71, "learning_rate": 0.0001617686170212766, "loss": 0.4783, "step": 21390 }, { "epoch": 18.72, "learning_rate": 0.00016170212765957446, "loss": 0.451, "step": 21400 }, { "epoch": 18.73, "learning_rate": 0.00016163563829787233, "loss": 0.5994, "step": 21410 }, { "epoch": 18.74, "learning_rate": 0.0001615691489361702, "loss": 0.3993, "step": 21420 }, { "epoch": 18.75, "learning_rate": 0.00016150265957446807, "loss": 0.5211, "step": 21430 }, { "epoch": 18.76, "learning_rate": 0.00016143617021276594, "loss": 0.5571, "step": 21440 }, { "epoch": 18.77, "learning_rate": 0.0001613696808510638, "loss": 0.4245, "step": 21450 }, { "epoch": 18.77, "learning_rate": 0.0001613031914893617, "loss": 0.6263, "step": 21460 }, { "epoch": 18.78, "learning_rate": 0.00016123670212765957, "loss": 0.4876, "step": 21470 }, { "epoch": 18.79, "learning_rate": 0.00016117021276595744, "loss": 0.5689, "step": 21480 }, { "epoch": 18.8, "learning_rate": 0.00016110372340425531, "loss": 0.5488, "step": 21490 }, { "epoch": 18.81, "learning_rate": 0.00016103723404255318, "loss": 0.4915, "step": 21500 }, { "epoch": 18.82, "learning_rate": 0.00016097074468085105, "loss": 0.5903, "step": 21510 }, { "epoch": 18.83, "learning_rate": 0.00016090425531914892, "loss": 0.4799, "step": 21520 }, { "epoch": 18.84, "learning_rate": 0.00016083776595744682, "loss": 0.5862, "step": 21530 }, { "epoch": 18.84, "learning_rate": 0.0001607712765957447, "loss": 0.5923, "step": 21540 }, { "epoch": 18.85, "learning_rate": 0.00016070478723404256, "loss": 0.5033, "step": 21550 }, { "epoch": 18.86, "learning_rate": 0.00016063829787234043, "loss": 0.6566, "step": 21560 }, { "epoch": 18.87, "learning_rate": 0.0001605718085106383, "loss": 0.4458, "step": 21570 }, { "epoch": 18.88, "learning_rate": 0.00016050531914893614, "loss": 0.644, "step": 21580 }, { "epoch": 18.89, "learning_rate": 0.000160438829787234, "loss": 0.5241, "step": 21590 }, { "epoch": 18.9, "learning_rate": 0.00016037234042553188, "loss": 0.42, "step": 21600 }, { "epoch": 18.9, "eval_cer1": 0.2872624151784207, "eval_cer2": 0.26392124692370794, "eval_cer3": 0.23871283894152237, "eval_cer4": 0.23935091277890466, "eval_cer5": 0.2645435244161359, "eval_loss": 1.0357513427734375, "eval_runtime": 1285.6703, "eval_samples_per_second": 6.814, "step": 21600 }, { "epoch": 18.91, "learning_rate": 0.00016030585106382975, "loss": 0.6998, "step": 21610 }, { "epoch": 18.91, "learning_rate": 0.00016023936170212762, "loss": 0.4521, "step": 21620 }, { "epoch": 18.92, "learning_rate": 0.00016017287234042552, "loss": 0.591, "step": 21630 }, { "epoch": 18.93, "learning_rate": 0.0001601063829787234, "loss": 0.5062, "step": 21640 }, { "epoch": 18.94, "learning_rate": 0.00016003989361702126, "loss": 0.4117, "step": 21650 }, { "epoch": 18.95, "learning_rate": 0.00015997340425531913, "loss": 0.596, "step": 21660 }, { "epoch": 18.96, "learning_rate": 0.000159906914893617, "loss": 0.5639, "step": 21670 }, { "epoch": 18.97, "learning_rate": 0.00015984042553191487, "loss": 0.5082, "step": 21680 }, { "epoch": 18.98, "learning_rate": 0.00015977393617021274, "loss": 0.493, "step": 21690 }, { "epoch": 18.98, "learning_rate": 0.0001597074468085106, "loss": 0.4676, "step": 21700 }, { "epoch": 18.99, "learning_rate": 0.0001596409574468085, "loss": 0.5781, "step": 21710 }, { "epoch": 19.0, "learning_rate": 0.00015957446808510637, "loss": 0.5025, "step": 21720 }, { "epoch": 19.01, "learning_rate": 0.00015950797872340424, "loss": 0.4536, "step": 21730 }, { "epoch": 19.02, "learning_rate": 0.00015944148936170211, "loss": 0.2944, "step": 21740 }, { "epoch": 19.03, "learning_rate": 0.00015937499999999998, "loss": 0.5119, "step": 21750 }, { "epoch": 19.04, "learning_rate": 0.00015930851063829785, "loss": 0.515, "step": 21760 }, { "epoch": 19.05, "learning_rate": 0.00015924202127659572, "loss": 0.4115, "step": 21770 }, { "epoch": 19.06, "learning_rate": 0.0001591755319148936, "loss": 0.4773, "step": 21780 }, { "epoch": 19.06, "learning_rate": 0.0001591090425531915, "loss": 0.4156, "step": 21790 }, { "epoch": 19.07, "learning_rate": 0.00015904255319148936, "loss": 0.5364, "step": 21800 }, { "epoch": 19.08, "learning_rate": 0.00015897606382978723, "loss": 0.488, "step": 21810 }, { "epoch": 19.09, "learning_rate": 0.0001589095744680851, "loss": 0.4208, "step": 21820 }, { "epoch": 19.1, "learning_rate": 0.00015884308510638297, "loss": 0.536, "step": 21830 }, { "epoch": 19.11, "learning_rate": 0.00015877659574468084, "loss": 0.3673, "step": 21840 }, { "epoch": 19.12, "learning_rate": 0.0001587101063829787, "loss": 0.5251, "step": 21850 }, { "epoch": 19.13, "learning_rate": 0.00015864361702127658, "loss": 0.4637, "step": 21860 }, { "epoch": 19.13, "learning_rate": 0.00015857712765957448, "loss": 0.4394, "step": 21870 }, { "epoch": 19.14, "learning_rate": 0.00015851063829787235, "loss": 0.5169, "step": 21880 }, { "epoch": 19.15, "learning_rate": 0.00015844414893617022, "loss": 0.3745, "step": 21890 }, { "epoch": 19.16, "learning_rate": 0.00015837765957446809, "loss": 0.5548, "step": 21900 }, { "epoch": 19.17, "learning_rate": 0.00015831117021276596, "loss": 0.4346, "step": 21910 }, { "epoch": 19.18, "learning_rate": 0.00015824468085106383, "loss": 0.4351, "step": 21920 }, { "epoch": 19.19, "learning_rate": 0.00015817819148936167, "loss": 0.5054, "step": 21930 }, { "epoch": 19.2, "learning_rate": 0.00015811170212765954, "loss": 0.4015, "step": 21940 }, { "epoch": 19.2, "learning_rate": 0.0001580452127659574, "loss": 0.5445, "step": 21950 }, { "epoch": 19.21, "learning_rate": 0.00015797872340425528, "loss": 0.4356, "step": 21960 }, { "epoch": 19.22, "learning_rate": 0.00015791223404255318, "loss": 0.4026, "step": 21970 }, { "epoch": 19.23, "learning_rate": 0.00015784574468085105, "loss": 0.4748, "step": 21980 }, { "epoch": 19.24, "learning_rate": 0.00015777925531914892, "loss": 0.3956, "step": 21990 }, { "epoch": 19.25, "learning_rate": 0.00015771276595744679, "loss": 0.5343, "step": 22000 }, { "epoch": 19.26, "learning_rate": 0.00015764627659574465, "loss": 0.4948, "step": 22010 }, { "epoch": 19.26, "learning_rate": 0.00015757978723404252, "loss": 0.4326, "step": 22020 }, { "epoch": 19.27, "learning_rate": 0.0001575132978723404, "loss": 0.4713, "step": 22030 }, { "epoch": 19.28, "learning_rate": 0.0001574468085106383, "loss": 0.4455, "step": 22040 }, { "epoch": 19.29, "learning_rate": 0.00015738031914893616, "loss": 0.554, "step": 22050 }, { "epoch": 19.3, "learning_rate": 0.00015731382978723403, "loss": 0.4462, "step": 22060 }, { "epoch": 19.31, "learning_rate": 0.0001572473404255319, "loss": 0.4602, "step": 22070 }, { "epoch": 19.32, "learning_rate": 0.00015718085106382977, "loss": 0.5636, "step": 22080 }, { "epoch": 19.33, "learning_rate": 0.00015711436170212764, "loss": 0.4309, "step": 22090 }, { "epoch": 19.33, "learning_rate": 0.0001570478723404255, "loss": 0.5513, "step": 22100 }, { "epoch": 19.34, "learning_rate": 0.00015698138297872338, "loss": 0.4773, "step": 22110 }, { "epoch": 19.35, "learning_rate": 0.00015691489361702128, "loss": 0.4786, "step": 22120 }, { "epoch": 19.36, "learning_rate": 0.00015684840425531915, "loss": 0.5069, "step": 22130 }, { "epoch": 19.37, "learning_rate": 0.00015678191489361702, "loss": 0.3374, "step": 22140 }, { "epoch": 19.38, "learning_rate": 0.0001567154255319149, "loss": 0.5003, "step": 22150 }, { "epoch": 19.39, "learning_rate": 0.00015664893617021276, "loss": 0.4456, "step": 22160 }, { "epoch": 19.4, "learning_rate": 0.00015658244680851063, "loss": 0.3916, "step": 22170 }, { "epoch": 19.4, "learning_rate": 0.0001565159574468085, "loss": 0.5528, "step": 22180 }, { "epoch": 19.41, "learning_rate": 0.00015644946808510637, "loss": 0.3493, "step": 22190 }, { "epoch": 19.42, "learning_rate": 0.00015638297872340426, "loss": 0.5736, "step": 22200 }, { "epoch": 19.42, "eval_cer1": 0.28699233651801087, "eval_cer2": 0.2619196062346185, "eval_cer3": 0.23681803332244364, "eval_cer4": 0.24022022602144305, "eval_cer5": 0.267515923566879, "eval_loss": 1.0466623306274414, "eval_runtime": 1302.8872, "eval_samples_per_second": 6.724, "step": 22200 }, { "epoch": 19.43, "learning_rate": 0.00015631648936170213, "loss": 0.4342, "step": 22210 }, { "epoch": 19.44, "learning_rate": 0.00015625, "loss": 0.4106, "step": 22220 }, { "epoch": 19.45, "learning_rate": 0.00015618351063829787, "loss": 0.5392, "step": 22230 }, { "epoch": 19.46, "learning_rate": 0.00015611702127659574, "loss": 0.3515, "step": 22240 }, { "epoch": 19.47, "learning_rate": 0.0001560505319148936, "loss": 0.6013, "step": 22250 }, { "epoch": 19.47, "learning_rate": 0.00015598404255319148, "loss": 0.5146, "step": 22260 }, { "epoch": 19.48, "learning_rate": 0.00015591755319148935, "loss": 0.4502, "step": 22270 }, { "epoch": 19.49, "learning_rate": 0.0001558510638297872, "loss": 0.5387, "step": 22280 }, { "epoch": 19.5, "learning_rate": 0.00015578457446808507, "loss": 0.3682, "step": 22290 }, { "epoch": 19.51, "learning_rate": 0.00015571808510638296, "loss": 0.5577, "step": 22300 }, { "epoch": 19.52, "learning_rate": 0.00015565159574468083, "loss": 0.3955, "step": 22310 }, { "epoch": 19.53, "learning_rate": 0.0001555851063829787, "loss": 0.4984, "step": 22320 }, { "epoch": 19.54, "learning_rate": 0.00015551861702127657, "loss": 0.5044, "step": 22330 }, { "epoch": 19.54, "learning_rate": 0.00015545212765957444, "loss": 0.3285, "step": 22340 }, { "epoch": 19.55, "learning_rate": 0.0001553856382978723, "loss": 0.5716, "step": 22350 }, { "epoch": 19.56, "learning_rate": 0.00015531914893617018, "loss": 0.4688, "step": 22360 }, { "epoch": 19.57, "learning_rate": 0.00015525265957446805, "loss": 0.4502, "step": 22370 }, { "epoch": 19.58, "learning_rate": 0.00015518617021276595, "loss": 0.5576, "step": 22380 }, { "epoch": 19.59, "learning_rate": 0.00015511968085106382, "loss": 0.3756, "step": 22390 }, { "epoch": 19.6, "learning_rate": 0.0001550531914893617, "loss": 0.5045, "step": 22400 }, { "epoch": 19.61, "learning_rate": 0.00015498670212765956, "loss": 0.474, "step": 22410 }, { "epoch": 19.61, "learning_rate": 0.00015492021276595743, "loss": 0.3889, "step": 22420 }, { "epoch": 19.62, "learning_rate": 0.0001548537234042553, "loss": 0.5142, "step": 22430 }, { "epoch": 19.63, "learning_rate": 0.00015478723404255317, "loss": 0.4911, "step": 22440 }, { "epoch": 19.64, "learning_rate": 0.00015472074468085104, "loss": 0.5799, "step": 22450 }, { "epoch": 19.65, "learning_rate": 0.00015465425531914893, "loss": 0.4783, "step": 22460 }, { "epoch": 19.66, "learning_rate": 0.0001545877659574468, "loss": 0.4639, "step": 22470 }, { "epoch": 19.67, "learning_rate": 0.00015452127659574467, "loss": 0.5209, "step": 22480 }, { "epoch": 19.68, "learning_rate": 0.00015445478723404254, "loss": 0.411, "step": 22490 }, { "epoch": 19.68, "learning_rate": 0.0001543882978723404, "loss": 0.553, "step": 22500 }, { "epoch": 19.69, "learning_rate": 0.00015432180851063828, "loss": 0.4449, "step": 22510 }, { "epoch": 19.7, "learning_rate": 0.00015425531914893615, "loss": 0.4784, "step": 22520 }, { "epoch": 19.71, "learning_rate": 0.00015418882978723402, "loss": 0.4938, "step": 22530 }, { "epoch": 19.72, "learning_rate": 0.00015412234042553192, "loss": 0.3715, "step": 22540 }, { "epoch": 19.73, "learning_rate": 0.0001540558510638298, "loss": 0.6178, "step": 22550 }, { "epoch": 19.74, "learning_rate": 0.00015398936170212766, "loss": 0.4751, "step": 22560 }, { "epoch": 19.75, "learning_rate": 0.00015392287234042553, "loss": 0.4297, "step": 22570 }, { "epoch": 19.75, "learning_rate": 0.0001538563829787234, "loss": 0.5751, "step": 22580 }, { "epoch": 19.76, "learning_rate": 0.00015378989361702127, "loss": 0.3924, "step": 22590 }, { "epoch": 19.77, "learning_rate": 0.00015372340425531914, "loss": 0.5138, "step": 22600 }, { "epoch": 19.78, "learning_rate": 0.000153656914893617, "loss": 0.4222, "step": 22610 }, { "epoch": 19.79, "learning_rate": 0.0001535904255319149, "loss": 0.4328, "step": 22620 }, { "epoch": 19.8, "learning_rate": 0.00015352393617021278, "loss": 0.5116, "step": 22630 }, { "epoch": 19.81, "learning_rate": 0.00015345744680851062, "loss": 0.4284, "step": 22640 }, { "epoch": 19.82, "learning_rate": 0.0001533909574468085, "loss": 0.6658, "step": 22650 }, { "epoch": 19.82, "learning_rate": 0.00015332446808510636, "loss": 0.5538, "step": 22660 }, { "epoch": 19.83, "learning_rate": 0.00015325797872340423, "loss": 0.5506, "step": 22670 }, { "epoch": 19.84, "learning_rate": 0.0001531914893617021, "loss": 0.5281, "step": 22680 }, { "epoch": 19.85, "learning_rate": 0.00015312499999999997, "loss": 0.3618, "step": 22690 }, { "epoch": 19.86, "learning_rate": 0.00015305851063829784, "loss": 0.5728, "step": 22700 }, { "epoch": 19.87, "learning_rate": 0.00015299202127659573, "loss": 0.4494, "step": 22710 }, { "epoch": 19.88, "learning_rate": 0.0001529255319148936, "loss": 0.4703, "step": 22720 }, { "epoch": 19.89, "learning_rate": 0.00015285904255319147, "loss": 0.4973, "step": 22730 }, { "epoch": 19.89, "learning_rate": 0.00015279255319148934, "loss": 0.4946, "step": 22740 }, { "epoch": 19.9, "learning_rate": 0.00015272606382978721, "loss": 0.5715, "step": 22750 }, { "epoch": 19.91, "learning_rate": 0.00015265957446808508, "loss": 0.4535, "step": 22760 }, { "epoch": 19.92, "learning_rate": 0.00015259308510638295, "loss": 0.4902, "step": 22770 }, { "epoch": 19.93, "learning_rate": 0.00015252659574468082, "loss": 0.5148, "step": 22780 }, { "epoch": 19.94, "learning_rate": 0.00015246010638297872, "loss": 0.469, "step": 22790 }, { "epoch": 19.95, "learning_rate": 0.0001523936170212766, "loss": 0.5532, "step": 22800 }, { "epoch": 19.95, "eval_cer1": 0.28699233651801087, "eval_cer2": 0.2643150123051682, "eval_cer3": 0.24041163018621364, "eval_cer4": 0.24141150713158827, "eval_cer5": 0.2669214437367304, "eval_loss": 1.0525282621383667, "eval_runtime": 1312.9229, "eval_samples_per_second": 6.672, "step": 22800 }, { "epoch": 19.96, "learning_rate": 0.00015232712765957446, "loss": 0.4585, "step": 22810 }, { "epoch": 19.96, "learning_rate": 0.00015226063829787233, "loss": 0.4733, "step": 22820 }, { "epoch": 19.97, "learning_rate": 0.0001521941489361702, "loss": 0.5658, "step": 22830 }, { "epoch": 19.98, "learning_rate": 0.00015212765957446807, "loss": 0.3982, "step": 22840 }, { "epoch": 19.99, "learning_rate": 0.00015206117021276594, "loss": 0.5479, "step": 22850 }, { "epoch": 20.0, "learning_rate": 0.0001519946808510638, "loss": 0.3584, "step": 22860 }, { "epoch": 20.01, "learning_rate": 0.0001519281914893617, "loss": 0.6497, "step": 22870 }, { "epoch": 20.02, "learning_rate": 0.00015186170212765958, "loss": 0.351, "step": 22880 }, { "epoch": 20.03, "learning_rate": 0.00015179521276595745, "loss": 0.4643, "step": 22890 }, { "epoch": 20.03, "learning_rate": 0.00015172872340425532, "loss": 0.4563, "step": 22900 }, { "epoch": 20.04, "learning_rate": 0.00015166223404255319, "loss": 0.3648, "step": 22910 }, { "epoch": 20.05, "learning_rate": 0.00015159574468085106, "loss": 0.549, "step": 22920 }, { "epoch": 20.06, "learning_rate": 0.00015152925531914893, "loss": 0.3499, "step": 22930 }, { "epoch": 20.07, "learning_rate": 0.0001514627659574468, "loss": 0.4264, "step": 22940 }, { "epoch": 20.08, "learning_rate": 0.0001513962765957447, "loss": 0.4634, "step": 22950 }, { "epoch": 20.09, "learning_rate": 0.00015132978723404256, "loss": 0.3053, "step": 22960 }, { "epoch": 20.1, "learning_rate": 0.00015126329787234043, "loss": 0.5776, "step": 22970 }, { "epoch": 20.1, "learning_rate": 0.0001511968085106383, "loss": 0.3879, "step": 22980 }, { "epoch": 20.11, "learning_rate": 0.00015113031914893615, "loss": 0.4074, "step": 22990 }, { "epoch": 20.12, "learning_rate": 0.00015106382978723401, "loss": 0.4447, "step": 23000 }, { "epoch": 20.13, "learning_rate": 0.00015099734042553188, "loss": 0.3202, "step": 23010 }, { "epoch": 20.14, "learning_rate": 0.00015093085106382975, "loss": 0.5024, "step": 23020 }, { "epoch": 20.15, "learning_rate": 0.00015086436170212762, "loss": 0.351, "step": 23030 }, { "epoch": 20.16, "learning_rate": 0.0001507978723404255, "loss": 0.4579, "step": 23040 }, { "epoch": 20.17, "learning_rate": 0.0001507313829787234, "loss": 0.5248, "step": 23050 }, { "epoch": 20.17, "learning_rate": 0.00015066489361702126, "loss": 0.351, "step": 23060 }, { "epoch": 20.18, "learning_rate": 0.00015059840425531913, "loss": 0.5476, "step": 23070 }, { "epoch": 20.19, "learning_rate": 0.000150531914893617, "loss": 0.4098, "step": 23080 }, { "epoch": 20.2, "learning_rate": 0.00015046542553191487, "loss": 0.4718, "step": 23090 }, { "epoch": 20.21, "learning_rate": 0.00015039893617021274, "loss": 0.5629, "step": 23100 }, { "epoch": 20.22, "learning_rate": 0.0001503324468085106, "loss": 0.3173, "step": 23110 }, { "epoch": 20.23, "learning_rate": 0.00015026595744680848, "loss": 0.4894, "step": 23120 }, { "epoch": 20.24, "learning_rate": 0.00015019946808510638, "loss": 0.3124, "step": 23130 }, { "epoch": 20.24, "learning_rate": 0.00015013297872340425, "loss": 0.4747, "step": 23140 }, { "epoch": 20.25, "learning_rate": 0.00015006648936170212, "loss": 0.4302, "step": 23150 }, { "epoch": 20.26, "learning_rate": 0.00015, "loss": 0.334, "step": 23160 }, { "epoch": 20.27, "learning_rate": 0.00014993351063829786, "loss": 0.5744, "step": 23170 }, { "epoch": 20.28, "learning_rate": 0.00014986702127659573, "loss": 0.3977, "step": 23180 }, { "epoch": 20.29, "learning_rate": 0.0001498005319148936, "loss": 0.4895, "step": 23190 }, { "epoch": 20.3, "learning_rate": 0.0001497340425531915, "loss": 0.424, "step": 23200 }, { "epoch": 20.31, "learning_rate": 0.00014966755319148936, "loss": 0.2947, "step": 23210 }, { "epoch": 20.31, "learning_rate": 0.00014960106382978723, "loss": 0.5199, "step": 23220 }, { "epoch": 20.32, "learning_rate": 0.0001495345744680851, "loss": 0.3872, "step": 23230 }, { "epoch": 20.33, "learning_rate": 0.00014946808510638297, "loss": 0.4685, "step": 23240 }, { "epoch": 20.34, "learning_rate": 0.00014940159574468084, "loss": 0.4455, "step": 23250 }, { "epoch": 20.35, "learning_rate": 0.0001493351063829787, "loss": 0.3553, "step": 23260 }, { "epoch": 20.36, "learning_rate": 0.00014926861702127658, "loss": 0.5332, "step": 23270 }, { "epoch": 20.37, "learning_rate": 0.00014920212765957445, "loss": 0.381, "step": 23280 }, { "epoch": 20.38, "learning_rate": 0.00014913563829787232, "loss": 0.441, "step": 23290 }, { "epoch": 20.38, "learning_rate": 0.0001490691489361702, "loss": 0.4342, "step": 23300 }, { "epoch": 20.39, "learning_rate": 0.00014900265957446806, "loss": 0.3428, "step": 23310 }, { "epoch": 20.4, "learning_rate": 0.00014893617021276593, "loss": 0.5913, "step": 23320 }, { "epoch": 20.41, "learning_rate": 0.00014886968085106383, "loss": 0.5022, "step": 23330 }, { "epoch": 20.42, "learning_rate": 0.0001488031914893617, "loss": 0.4988, "step": 23340 }, { "epoch": 20.43, "learning_rate": 0.00014873670212765957, "loss": 0.4764, "step": 23350 }, { "epoch": 20.44, "learning_rate": 0.00014867021276595744, "loss": 0.2748, "step": 23360 }, { "epoch": 20.45, "learning_rate": 0.0001486037234042553, "loss": 0.5289, "step": 23370 }, { "epoch": 20.45, "learning_rate": 0.00014853723404255318, "loss": 0.3794, "step": 23380 }, { "epoch": 20.46, "learning_rate": 0.00014847074468085105, "loss": 0.416, "step": 23390 }, { "epoch": 20.47, "learning_rate": 0.00014840425531914892, "loss": 0.4617, "step": 23400 }, { "epoch": 20.47, "eval_cer1": 0.2836163532628878, "eval_cer2": 0.25899917965545527, "eval_cer3": 0.23394315583142763, "eval_cer4": 0.2339418526031102, "eval_cer5": 0.25613588110403396, "eval_loss": 1.036176323890686, "eval_runtime": 1318.1208, "eval_samples_per_second": 6.646, "step": 23400 }, { "epoch": 20.48, "learning_rate": 0.00014833776595744681, "loss": 0.337, "step": 23410 }, { "epoch": 20.49, "learning_rate": 0.00014827127659574468, "loss": 0.5062, "step": 23420 }, { "epoch": 20.5, "learning_rate": 0.00014820478723404253, "loss": 0.4902, "step": 23430 }, { "epoch": 20.51, "learning_rate": 0.0001481382978723404, "loss": 0.4485, "step": 23440 }, { "epoch": 20.52, "learning_rate": 0.00014807180851063827, "loss": 0.4609, "step": 23450 }, { "epoch": 20.52, "learning_rate": 0.00014800531914893616, "loss": 0.359, "step": 23460 }, { "epoch": 20.53, "learning_rate": 0.00014793882978723403, "loss": 0.5884, "step": 23470 }, { "epoch": 20.54, "learning_rate": 0.0001478723404255319, "loss": 0.4197, "step": 23480 }, { "epoch": 20.55, "learning_rate": 0.00014780585106382977, "loss": 0.4504, "step": 23490 }, { "epoch": 20.56, "learning_rate": 0.00014773936170212764, "loss": 0.4957, "step": 23500 }, { "epoch": 20.57, "learning_rate": 0.0001476728723404255, "loss": 0.3328, "step": 23510 }, { "epoch": 20.58, "learning_rate": 0.00014760638297872338, "loss": 0.5621, "step": 23520 }, { "epoch": 20.59, "learning_rate": 0.00014753989361702125, "loss": 0.4464, "step": 23530 }, { "epoch": 20.59, "learning_rate": 0.00014747340425531915, "loss": 0.4985, "step": 23540 }, { "epoch": 20.6, "learning_rate": 0.00014740691489361702, "loss": 0.4642, "step": 23550 }, { "epoch": 20.61, "learning_rate": 0.0001473404255319149, "loss": 0.3448, "step": 23560 }, { "epoch": 20.62, "learning_rate": 0.00014727393617021276, "loss": 0.5492, "step": 23570 }, { "epoch": 20.63, "learning_rate": 0.00014720744680851063, "loss": 0.3898, "step": 23580 }, { "epoch": 20.64, "learning_rate": 0.0001471409574468085, "loss": 0.4735, "step": 23590 }, { "epoch": 20.65, "learning_rate": 0.00014707446808510637, "loss": 0.4084, "step": 23600 }, { "epoch": 20.66, "learning_rate": 0.00014700797872340424, "loss": 0.3114, "step": 23610 }, { "epoch": 20.66, "learning_rate": 0.0001469414893617021, "loss": 0.6112, "step": 23620 }, { "epoch": 20.67, "learning_rate": 0.00014687499999999998, "loss": 0.4127, "step": 23630 }, { "epoch": 20.68, "learning_rate": 0.00014680851063829785, "loss": 0.4579, "step": 23640 }, { "epoch": 20.69, "learning_rate": 0.00014674202127659572, "loss": 0.4352, "step": 23650 }, { "epoch": 20.7, "learning_rate": 0.0001466755319148936, "loss": 0.3069, "step": 23660 }, { "epoch": 20.71, "learning_rate": 0.00014660904255319149, "loss": 0.5741, "step": 23670 }, { "epoch": 20.72, "learning_rate": 0.00014654255319148936, "loss": 0.3921, "step": 23680 }, { "epoch": 20.73, "learning_rate": 0.00014647606382978722, "loss": 0.4841, "step": 23690 }, { "epoch": 20.73, "learning_rate": 0.0001464095744680851, "loss": 0.4196, "step": 23700 }, { "epoch": 20.74, "learning_rate": 0.00014634308510638296, "loss": 0.3968, "step": 23710 }, { "epoch": 20.75, "learning_rate": 0.00014627659574468083, "loss": 0.5564, "step": 23720 }, { "epoch": 20.76, "learning_rate": 0.0001462101063829787, "loss": 0.3825, "step": 23730 }, { "epoch": 20.77, "learning_rate": 0.0001461436170212766, "loss": 0.4738, "step": 23740 }, { "epoch": 20.78, "learning_rate": 0.00014607712765957447, "loss": 0.5435, "step": 23750 }, { "epoch": 20.79, "learning_rate": 0.00014601063829787234, "loss": 0.359, "step": 23760 }, { "epoch": 20.8, "learning_rate": 0.0001459441489361702, "loss": 0.5754, "step": 23770 }, { "epoch": 20.8, "learning_rate": 0.00014587765957446805, "loss": 0.4005, "step": 23780 }, { "epoch": 20.81, "learning_rate": 0.00014581117021276595, "loss": 0.5477, "step": 23790 }, { "epoch": 20.82, "learning_rate": 0.00014574468085106382, "loss": 0.4592, "step": 23800 }, { "epoch": 20.83, "learning_rate": 0.0001456781914893617, "loss": 0.3583, "step": 23810 }, { "epoch": 20.84, "learning_rate": 0.00014561170212765956, "loss": 0.5245, "step": 23820 }, { "epoch": 20.85, "learning_rate": 0.00014554521276595743, "loss": 0.3789, "step": 23830 }, { "epoch": 20.86, "learning_rate": 0.0001454787234042553, "loss": 0.4733, "step": 23840 }, { "epoch": 20.87, "learning_rate": 0.00014541223404255317, "loss": 0.4335, "step": 23850 }, { "epoch": 20.87, "learning_rate": 0.00014534574468085104, "loss": 0.3584, "step": 23860 }, { "epoch": 20.88, "learning_rate": 0.00014527925531914894, "loss": 0.5562, "step": 23870 }, { "epoch": 20.89, "learning_rate": 0.0001452127659574468, "loss": 0.3774, "step": 23880 }, { "epoch": 20.9, "learning_rate": 0.00014514627659574468, "loss": 0.477, "step": 23890 }, { "epoch": 20.91, "learning_rate": 0.00014507978723404255, "loss": 0.4925, "step": 23900 }, { "epoch": 20.92, "learning_rate": 0.00014501329787234042, "loss": 0.3446, "step": 23910 }, { "epoch": 20.93, "learning_rate": 0.00014494680851063829, "loss": 0.5452, "step": 23920 }, { "epoch": 20.94, "learning_rate": 0.00014488031914893616, "loss": 0.4138, "step": 23930 }, { "epoch": 20.94, "learning_rate": 0.00014481382978723403, "loss": 0.4809, "step": 23940 }, { "epoch": 20.95, "learning_rate": 0.00014474734042553192, "loss": 0.4158, "step": 23950 }, { "epoch": 20.96, "learning_rate": 0.00014468085106382977, "loss": 0.3165, "step": 23960 }, { "epoch": 20.97, "learning_rate": 0.00014461436170212764, "loss": 0.5763, "step": 23970 }, { "epoch": 20.98, "learning_rate": 0.0001445478723404255, "loss": 0.438, "step": 23980 }, { "epoch": 20.99, "learning_rate": 0.00014448138297872337, "loss": 0.4939, "step": 23990 }, { "epoch": 21.0, "learning_rate": 0.00014441489361702127, "loss": 0.4442, "step": 24000 }, { "epoch": 21.0, "eval_cer1": 0.2774045440734614, "eval_cer2": 0.25640689089417557, "eval_cer3": 0.2305455733420451, "eval_cer4": 0.2344891979780418, "eval_cer5": 0.25154989384288745, "eval_loss": 1.0287288427352905, "eval_runtime": 1322.1816, "eval_samples_per_second": 6.625, "step": 24000 }, { "epoch": 21.01, "learning_rate": 0.00014434840425531914, "loss": 0.5521, "step": 24010 }, { "epoch": 21.01, "learning_rate": 0.000144281914893617, "loss": 0.3416, "step": 24020 }, { "epoch": 21.02, "learning_rate": 0.00014421542553191488, "loss": 0.3814, "step": 24030 }, { "epoch": 21.03, "learning_rate": 0.00014414893617021275, "loss": 0.4344, "step": 24040 }, { "epoch": 21.04, "learning_rate": 0.00014408244680851062, "loss": 0.3121, "step": 24050 }, { "epoch": 21.05, "learning_rate": 0.0001440159574468085, "loss": 0.4895, "step": 24060 }, { "epoch": 21.06, "learning_rate": 0.00014394946808510636, "loss": 0.3439, "step": 24070 }, { "epoch": 21.07, "learning_rate": 0.00014388297872340426, "loss": 0.3263, "step": 24080 }, { "epoch": 21.08, "learning_rate": 0.00014381648936170213, "loss": 0.4485, "step": 24090 }, { "epoch": 21.08, "learning_rate": 0.00014375, "loss": 0.2931, "step": 24100 }, { "epoch": 21.09, "learning_rate": 0.00014368351063829787, "loss": 0.4693, "step": 24110 }, { "epoch": 21.1, "learning_rate": 0.00014361702127659574, "loss": 0.3455, "step": 24120 }, { "epoch": 21.11, "learning_rate": 0.0001435505319148936, "loss": 0.2965, "step": 24130 }, { "epoch": 21.12, "learning_rate": 0.00014348404255319148, "loss": 0.4289, "step": 24140 }, { "epoch": 21.13, "learning_rate": 0.00014341755319148935, "loss": 0.3659, "step": 24150 }, { "epoch": 21.14, "learning_rate": 0.00014335106382978722, "loss": 0.5026, "step": 24160 }, { "epoch": 21.15, "learning_rate": 0.0001432845744680851, "loss": 0.386, "step": 24170 }, { "epoch": 21.15, "learning_rate": 0.00014321808510638296, "loss": 0.3223, "step": 24180 }, { "epoch": 21.16, "learning_rate": 0.00014315159574468083, "loss": 0.4534, "step": 24190 }, { "epoch": 21.17, "learning_rate": 0.0001430851063829787, "loss": 0.3164, "step": 24200 }, { "epoch": 21.18, "learning_rate": 0.0001430186170212766, "loss": 0.4428, "step": 24210 }, { "epoch": 21.19, "learning_rate": 0.00014295212765957446, "loss": 0.357, "step": 24220 }, { "epoch": 21.2, "learning_rate": 0.00014288563829787233, "loss": 0.3794, "step": 24230 }, { "epoch": 21.21, "learning_rate": 0.0001428191489361702, "loss": 0.4765, "step": 24240 }, { "epoch": 21.22, "learning_rate": 0.00014275265957446807, "loss": 0.2988, "step": 24250 }, { "epoch": 21.22, "learning_rate": 0.00014268617021276594, "loss": 0.4884, "step": 24260 }, { "epoch": 21.23, "learning_rate": 0.0001426196808510638, "loss": 0.3604, "step": 24270 }, { "epoch": 21.24, "learning_rate": 0.00014255319148936168, "loss": 0.3667, "step": 24280 }, { "epoch": 21.25, "learning_rate": 0.00014248670212765958, "loss": 0.4544, "step": 24290 }, { "epoch": 21.26, "learning_rate": 0.00014242021276595745, "loss": 0.3478, "step": 24300 }, { "epoch": 21.27, "learning_rate": 0.0001423537234042553, "loss": 0.4604, "step": 24310 }, { "epoch": 21.28, "learning_rate": 0.00014228723404255316, "loss": 0.3385, "step": 24320 }, { "epoch": 21.29, "learning_rate": 0.00014222074468085106, "loss": 0.3948, "step": 24330 }, { "epoch": 21.29, "learning_rate": 0.00014215425531914893, "loss": 0.5452, "step": 24340 }, { "epoch": 21.3, "learning_rate": 0.0001420877659574468, "loss": 0.3078, "step": 24350 }, { "epoch": 21.31, "learning_rate": 0.00014202127659574467, "loss": 0.4571, "step": 24360 }, { "epoch": 21.32, "learning_rate": 0.00014195478723404254, "loss": 0.297, "step": 24370 }, { "epoch": 21.33, "learning_rate": 0.0001418882978723404, "loss": 0.339, "step": 24380 }, { "epoch": 21.34, "learning_rate": 0.00014182180851063828, "loss": 0.4816, "step": 24390 }, { "epoch": 21.35, "learning_rate": 0.00014175531914893615, "loss": 0.2878, "step": 24400 }, { "epoch": 21.36, "learning_rate": 0.00014168882978723404, "loss": 0.4621, "step": 24410 }, { "epoch": 21.36, "learning_rate": 0.00014162234042553191, "loss": 0.4515, "step": 24420 }, { "epoch": 21.37, "learning_rate": 0.00014155585106382978, "loss": 0.3435, "step": 24430 }, { "epoch": 21.38, "learning_rate": 0.00014148936170212765, "loss": 0.4548, "step": 24440 }, { "epoch": 21.39, "learning_rate": 0.00014142287234042552, "loss": 0.3265, "step": 24450 }, { "epoch": 21.4, "learning_rate": 0.0001413563829787234, "loss": 0.5297, "step": 24460 }, { "epoch": 21.41, "learning_rate": 0.00014128989361702126, "loss": 0.4099, "step": 24470 }, { "epoch": 21.42, "learning_rate": 0.00014122340425531913, "loss": 0.4471, "step": 24480 }, { "epoch": 21.43, "learning_rate": 0.000141156914893617, "loss": 0.4924, "step": 24490 }, { "epoch": 21.43, "learning_rate": 0.00014109042553191487, "loss": 0.2733, "step": 24500 }, { "epoch": 21.44, "learning_rate": 0.00014102393617021274, "loss": 0.4417, "step": 24510 }, { "epoch": 21.45, "learning_rate": 0.0001409574468085106, "loss": 0.3721, "step": 24520 }, { "epoch": 21.46, "learning_rate": 0.00014089095744680848, "loss": 0.3949, "step": 24530 }, { "epoch": 21.47, "learning_rate": 0.00014082446808510638, "loss": 0.3895, "step": 24540 }, { "epoch": 21.48, "learning_rate": 0.00014075797872340425, "loss": 0.2757, "step": 24550 }, { "epoch": 21.49, "learning_rate": 0.00014069148936170212, "loss": 0.4789, "step": 24560 }, { "epoch": 21.5, "learning_rate": 0.000140625, "loss": 0.3346, "step": 24570 }, { "epoch": 21.5, "learning_rate": 0.00014055851063829786, "loss": 0.2773, "step": 24580 }, { "epoch": 21.51, "learning_rate": 0.00014049202127659573, "loss": 0.4266, "step": 24590 }, { "epoch": 21.52, "learning_rate": 0.0001404255319148936, "loss": 0.3301, "step": 24600 }, { "epoch": 21.52, "eval_cer1": 0.2788899767057155, "eval_cer2": 0.2549302707136998, "eval_cer3": 0.22577589023195035, "eval_cer4": 0.23229981647831546, "eval_cer5": 0.24883227176220807, "eval_loss": 1.0316708087921143, "eval_runtime": 1349.3417, "eval_samples_per_second": 6.492, "step": 24600 }, { "epoch": 21.53, "learning_rate": 0.00014035904255319147, "loss": 0.4875, "step": 24610 }, { "epoch": 21.54, "learning_rate": 0.00014029255319148937, "loss": 0.3975, "step": 24620 }, { "epoch": 21.55, "learning_rate": 0.00014022606382978724, "loss": 0.3878, "step": 24630 }, { "epoch": 21.56, "learning_rate": 0.0001401595744680851, "loss": 0.4372, "step": 24640 }, { "epoch": 21.57, "learning_rate": 0.00014009308510638298, "loss": 0.325, "step": 24650 }, { "epoch": 21.57, "learning_rate": 0.00014002659574468082, "loss": 0.4956, "step": 24660 }, { "epoch": 21.58, "learning_rate": 0.00013996010638297872, "loss": 0.4298, "step": 24670 }, { "epoch": 21.59, "learning_rate": 0.00013989361702127658, "loss": 0.3395, "step": 24680 }, { "epoch": 21.6, "learning_rate": 0.00013982712765957445, "loss": 0.4925, "step": 24690 }, { "epoch": 21.61, "learning_rate": 0.00013976063829787232, "loss": 0.3045, "step": 24700 }, { "epoch": 21.62, "learning_rate": 0.0001396941489361702, "loss": 0.4871, "step": 24710 }, { "epoch": 21.63, "learning_rate": 0.00013962765957446806, "loss": 0.3903, "step": 24720 }, { "epoch": 21.64, "learning_rate": 0.00013956117021276593, "loss": 0.3896, "step": 24730 }, { "epoch": 21.64, "learning_rate": 0.0001394946808510638, "loss": 0.4938, "step": 24740 }, { "epoch": 21.65, "learning_rate": 0.0001394281914893617, "loss": 0.3297, "step": 24750 }, { "epoch": 21.66, "learning_rate": 0.00013936170212765957, "loss": 0.4553, "step": 24760 }, { "epoch": 21.67, "learning_rate": 0.00013929521276595744, "loss": 0.4428, "step": 24770 }, { "epoch": 21.68, "learning_rate": 0.0001392287234042553, "loss": 0.3274, "step": 24780 }, { "epoch": 21.69, "learning_rate": 0.00013916223404255318, "loss": 0.449, "step": 24790 }, { "epoch": 21.7, "learning_rate": 0.00013909574468085105, "loss": 0.3249, "step": 24800 }, { "epoch": 21.71, "learning_rate": 0.00013902925531914892, "loss": 0.4933, "step": 24810 }, { "epoch": 21.71, "learning_rate": 0.0001389627659574468, "loss": 0.4475, "step": 24820 }, { "epoch": 21.72, "learning_rate": 0.0001388962765957447, "loss": 0.3727, "step": 24830 }, { "epoch": 21.73, "learning_rate": 0.00013882978723404253, "loss": 0.4106, "step": 24840 }, { "epoch": 21.74, "learning_rate": 0.0001387632978723404, "loss": 0.3125, "step": 24850 }, { "epoch": 21.75, "learning_rate": 0.00013869680851063827, "loss": 0.3739, "step": 24860 }, { "epoch": 21.76, "learning_rate": 0.00013863031914893617, "loss": 0.3818, "step": 24870 }, { "epoch": 21.77, "learning_rate": 0.00013856382978723404, "loss": 0.3246, "step": 24880 }, { "epoch": 21.78, "learning_rate": 0.0001384973404255319, "loss": 0.4254, "step": 24890 }, { "epoch": 21.78, "learning_rate": 0.00013843085106382978, "loss": 0.4326, "step": 24900 }, { "epoch": 21.79, "learning_rate": 0.00013836436170212765, "loss": 0.4772, "step": 24910 }, { "epoch": 21.8, "learning_rate": 0.00013829787234042552, "loss": 0.3864, "step": 24920 }, { "epoch": 21.81, "learning_rate": 0.00013823138297872339, "loss": 0.3705, "step": 24930 }, { "epoch": 21.82, "learning_rate": 0.00013816489361702126, "loss": 0.5329, "step": 24940 }, { "epoch": 21.83, "learning_rate": 0.00013809840425531915, "loss": 0.3486, "step": 24950 }, { "epoch": 21.84, "learning_rate": 0.00013803191489361702, "loss": 0.4645, "step": 24960 }, { "epoch": 21.85, "learning_rate": 0.0001379654255319149, "loss": 0.3957, "step": 24970 }, { "epoch": 21.85, "learning_rate": 0.00013789893617021276, "loss": 0.4219, "step": 24980 }, { "epoch": 21.86, "learning_rate": 0.00013783244680851063, "loss": 0.4307, "step": 24990 }, { "epoch": 21.87, "learning_rate": 0.0001377659574468085, "loss": 0.3554, "step": 25000 }, { "epoch": 21.88, "learning_rate": 0.00013769946808510637, "loss": 0.4521, "step": 25010 }, { "epoch": 21.89, "learning_rate": 0.00013763297872340424, "loss": 0.4024, "step": 25020 }, { "epoch": 21.9, "learning_rate": 0.0001375664893617021, "loss": 0.4088, "step": 25030 }, { "epoch": 21.91, "learning_rate": 0.00013749999999999998, "loss": 0.5174, "step": 25040 }, { "epoch": 21.92, "learning_rate": 0.00013743351063829785, "loss": 0.341, "step": 25050 }, { "epoch": 21.92, "learning_rate": 0.00013736702127659572, "loss": 0.4856, "step": 25060 }, { "epoch": 21.93, "learning_rate": 0.0001373005319148936, "loss": 0.4195, "step": 25070 }, { "epoch": 21.94, "learning_rate": 0.0001372340425531915, "loss": 0.4866, "step": 25080 }, { "epoch": 21.95, "learning_rate": 0.00013716755319148936, "loss": 0.4518, "step": 25090 }, { "epoch": 21.96, "learning_rate": 0.00013710106382978723, "loss": 0.3093, "step": 25100 }, { "epoch": 21.97, "learning_rate": 0.0001370345744680851, "loss": 0.4767, "step": 25110 }, { "epoch": 21.98, "learning_rate": 0.00013696808510638297, "loss": 0.4058, "step": 25120 }, { "epoch": 21.99, "learning_rate": 0.00013690159574468084, "loss": 0.4197, "step": 25130 }, { "epoch": 21.99, "learning_rate": 0.0001368351063829787, "loss": 0.4374, "step": 25140 }, { "epoch": 22.0, "learning_rate": 0.00013676861702127658, "loss": 0.4609, "step": 25150 }, { "epoch": 22.01, "learning_rate": 0.00013670212765957447, "loss": 0.3799, "step": 25160 }, { "epoch": 22.02, "learning_rate": 0.00013663563829787234, "loss": 0.2781, "step": 25170 }, { "epoch": 22.03, "learning_rate": 0.0001365691489361702, "loss": 0.4925, "step": 25180 }, { "epoch": 22.04, "learning_rate": 0.00013650265957446806, "loss": 0.3444, "step": 25190 }, { "epoch": 22.05, "learning_rate": 0.00013643617021276593, "loss": 0.352, "step": 25200 }, { "epoch": 22.05, "eval_cer1": 0.28101684615644307, "eval_cer2": 0.257292863002461, "eval_cer3": 0.23302842208428617, "eval_cer4": 0.2341350333236743, "eval_cer5": 0.25443736730360933, "eval_loss": 1.0480974912643433, "eval_runtime": 1368.8981, "eval_samples_per_second": 6.399, "step": 25200 }, { "epoch": 22.06, "learning_rate": 0.00013636968085106382, "loss": 0.4391, "step": 25210 }, { "epoch": 22.06, "learning_rate": 0.0001363031914893617, "loss": 0.2822, "step": 25220 }, { "epoch": 22.07, "learning_rate": 0.00013623670212765956, "loss": 0.5069, "step": 25230 }, { "epoch": 22.08, "learning_rate": 0.00013617021276595743, "loss": 0.3563, "step": 25240 }, { "epoch": 22.09, "learning_rate": 0.0001361037234042553, "loss": 0.3632, "step": 25250 }, { "epoch": 22.1, "learning_rate": 0.00013603723404255317, "loss": 0.4024, "step": 25260 }, { "epoch": 22.11, "learning_rate": 0.00013597074468085104, "loss": 0.2997, "step": 25270 }, { "epoch": 22.12, "learning_rate": 0.0001359042553191489, "loss": 0.4593, "step": 25280 }, { "epoch": 22.13, "learning_rate": 0.0001358377659574468, "loss": 0.3679, "step": 25290 }, { "epoch": 22.13, "learning_rate": 0.00013577127659574468, "loss": 0.3822, "step": 25300 }, { "epoch": 22.14, "learning_rate": 0.00013570478723404255, "loss": 0.4141, "step": 25310 }, { "epoch": 22.15, "learning_rate": 0.00013563829787234042, "loss": 0.3059, "step": 25320 }, { "epoch": 22.16, "learning_rate": 0.0001355718085106383, "loss": 0.5324, "step": 25330 }, { "epoch": 22.17, "learning_rate": 0.00013550531914893616, "loss": 0.3478, "step": 25340 }, { "epoch": 22.18, "learning_rate": 0.00013543882978723403, "loss": 0.4233, "step": 25350 }, { "epoch": 22.19, "learning_rate": 0.0001353723404255319, "loss": 0.4273, "step": 25360 }, { "epoch": 22.2, "learning_rate": 0.00013530585106382977, "loss": 0.307, "step": 25370 }, { "epoch": 22.2, "learning_rate": 0.00013523936170212764, "loss": 0.4839, "step": 25380 }, { "epoch": 22.21, "learning_rate": 0.0001351728723404255, "loss": 0.3576, "step": 25390 }, { "epoch": 22.22, "learning_rate": 0.00013510638297872338, "loss": 0.4421, "step": 25400 }, { "epoch": 22.23, "learning_rate": 0.00013503989361702127, "loss": 0.4246, "step": 25410 }, { "epoch": 22.24, "learning_rate": 0.00013497340425531914, "loss": 0.3285, "step": 25420 }, { "epoch": 22.25, "learning_rate": 0.00013490691489361701, "loss": 0.5017, "step": 25430 }, { "epoch": 22.26, "learning_rate": 0.00013484042553191488, "loss": 0.2993, "step": 25440 }, { "epoch": 22.27, "learning_rate": 0.00013477393617021275, "loss": 0.3846, "step": 25450 }, { "epoch": 22.27, "learning_rate": 0.00013470744680851062, "loss": 0.4039, "step": 25460 }, { "epoch": 22.28, "learning_rate": 0.0001346409574468085, "loss": 0.317, "step": 25470 }, { "epoch": 22.29, "learning_rate": 0.00013457446808510636, "loss": 0.4561, "step": 25480 }, { "epoch": 22.3, "learning_rate": 0.00013450797872340426, "loss": 0.3295, "step": 25490 }, { "epoch": 22.31, "learning_rate": 0.00013444148936170213, "loss": 0.3637, "step": 25500 }, { "epoch": 22.32, "learning_rate": 0.000134375, "loss": 0.4201, "step": 25510 }, { "epoch": 22.33, "learning_rate": 0.00013430851063829787, "loss": 0.2746, "step": 25520 }, { "epoch": 22.34, "learning_rate": 0.00013424202127659574, "loss": 0.4375, "step": 25530 }, { "epoch": 22.34, "learning_rate": 0.0001341755319148936, "loss": 0.3407, "step": 25540 }, { "epoch": 22.35, "learning_rate": 0.00013410904255319148, "loss": 0.3252, "step": 25550 }, { "epoch": 22.36, "learning_rate": 0.00013404255319148935, "loss": 0.4388, "step": 25560 }, { "epoch": 22.37, "learning_rate": 0.00013397606382978722, "loss": 0.2982, "step": 25570 }, { "epoch": 22.38, "learning_rate": 0.0001339095744680851, "loss": 0.4699, "step": 25580 }, { "epoch": 22.39, "learning_rate": 0.00013384308510638296, "loss": 0.3127, "step": 25590 }, { "epoch": 22.4, "learning_rate": 0.00013377659574468083, "loss": 0.3841, "step": 25600 }, { "epoch": 22.41, "learning_rate": 0.0001337101063829787, "loss": 0.4032, "step": 25610 }, { "epoch": 22.41, "learning_rate": 0.0001336436170212766, "loss": 0.2641, "step": 25620 }, { "epoch": 22.42, "learning_rate": 0.00013357712765957447, "loss": 0.4513, "step": 25630 }, { "epoch": 22.43, "learning_rate": 0.00013351063829787234, "loss": 0.3007, "step": 25640 }, { "epoch": 22.44, "learning_rate": 0.0001334441489361702, "loss": 0.3445, "step": 25650 }, { "epoch": 22.45, "learning_rate": 0.00013337765957446808, "loss": 0.3983, "step": 25660 }, { "epoch": 22.46, "learning_rate": 0.00013331117021276594, "loss": 0.2326, "step": 25670 }, { "epoch": 22.47, "learning_rate": 0.00013324468085106381, "loss": 0.4835, "step": 25680 }, { "epoch": 22.48, "learning_rate": 0.00013317819148936168, "loss": 0.3081, "step": 25690 }, { "epoch": 22.48, "learning_rate": 0.00013311170212765958, "loss": 0.4082, "step": 25700 }, { "epoch": 22.49, "learning_rate": 0.00013304521276595745, "loss": 0.407, "step": 25710 }, { "epoch": 22.5, "learning_rate": 0.0001329787234042553, "loss": 0.288, "step": 25720 }, { "epoch": 22.51, "learning_rate": 0.00013291223404255316, "loss": 0.4324, "step": 25730 }, { "epoch": 22.52, "learning_rate": 0.00013284574468085103, "loss": 0.4151, "step": 25740 }, { "epoch": 22.53, "learning_rate": 0.00013277925531914893, "loss": 0.3621, "step": 25750 }, { "epoch": 22.54, "learning_rate": 0.0001327127659574468, "loss": 0.4488, "step": 25760 }, { "epoch": 22.55, "learning_rate": 0.00013264627659574467, "loss": 0.2726, "step": 25770 }, { "epoch": 22.55, "learning_rate": 0.00013257978723404254, "loss": 0.4988, "step": 25780 }, { "epoch": 22.56, "learning_rate": 0.0001325132978723404, "loss": 0.3855, "step": 25790 }, { "epoch": 22.57, "learning_rate": 0.00013244680851063828, "loss": 0.3484, "step": 25800 }, { "epoch": 22.57, "eval_cer1": 0.27561527294824617, "eval_cer2": 0.25178014766201806, "eval_cer3": 0.22727866710225417, "eval_cer4": 0.2294664992433755, "eval_cer5": 0.249171974522293, "eval_loss": 1.0398242473602295, "eval_runtime": 1371.0312, "eval_samples_per_second": 6.389, "step": 25800 }, { "epoch": 22.58, "learning_rate": 0.00013238031914893615, "loss": 0.3648, "step": 25810 }, { "epoch": 22.59, "learning_rate": 0.00013231382978723402, "loss": 0.3256, "step": 25820 }, { "epoch": 22.6, "learning_rate": 0.00013224734042553192, "loss": 0.4772, "step": 25830 }, { "epoch": 22.61, "learning_rate": 0.0001321808510638298, "loss": 0.3659, "step": 25840 }, { "epoch": 22.62, "learning_rate": 0.00013211436170212766, "loss": 0.4016, "step": 25850 }, { "epoch": 22.62, "learning_rate": 0.00013204787234042553, "loss": 0.372, "step": 25860 }, { "epoch": 22.63, "learning_rate": 0.0001319813829787234, "loss": 0.4156, "step": 25870 }, { "epoch": 22.64, "learning_rate": 0.00013191489361702127, "loss": 0.4196, "step": 25880 }, { "epoch": 22.65, "learning_rate": 0.00013184840425531914, "loss": 0.3156, "step": 25890 }, { "epoch": 22.66, "learning_rate": 0.000131781914893617, "loss": 0.3585, "step": 25900 }, { "epoch": 22.67, "learning_rate": 0.00013171542553191488, "loss": 0.3941, "step": 25910 }, { "epoch": 22.68, "learning_rate": 0.00013164893617021275, "loss": 0.2504, "step": 25920 }, { "epoch": 22.69, "learning_rate": 0.00013158244680851062, "loss": 0.4609, "step": 25930 }, { "epoch": 22.69, "learning_rate": 0.00013151595744680849, "loss": 0.3998, "step": 25940 }, { "epoch": 22.7, "learning_rate": 0.00013144946808510636, "loss": 0.3959, "step": 25950 }, { "epoch": 22.71, "learning_rate": 0.00013138297872340425, "loss": 0.407, "step": 25960 }, { "epoch": 22.72, "learning_rate": 0.00013131648936170212, "loss": 0.3075, "step": 25970 }, { "epoch": 22.73, "learning_rate": 0.00013125, "loss": 0.5365, "step": 25980 }, { "epoch": 22.74, "learning_rate": 0.00013118351063829786, "loss": 0.3169, "step": 25990 }, { "epoch": 22.75, "learning_rate": 0.00013111702127659573, "loss": 0.379, "step": 26000 }, { "epoch": 22.76, "learning_rate": 0.0001310505319148936, "loss": 0.4853, "step": 26010 }, { "epoch": 22.76, "learning_rate": 0.00013098404255319147, "loss": 0.2365, "step": 26020 }, { "epoch": 22.77, "learning_rate": 0.00013091755319148937, "loss": 0.567, "step": 26030 }, { "epoch": 22.78, "learning_rate": 0.00013085106382978724, "loss": 0.3252, "step": 26040 }, { "epoch": 22.79, "learning_rate": 0.0001307845744680851, "loss": 0.4379, "step": 26050 }, { "epoch": 22.8, "learning_rate": 0.00013071808510638298, "loss": 0.4442, "step": 26060 }, { "epoch": 22.81, "learning_rate": 0.00013065159574468082, "loss": 0.3301, "step": 26070 }, { "epoch": 22.82, "learning_rate": 0.00013058510638297872, "loss": 0.5047, "step": 26080 }, { "epoch": 22.83, "learning_rate": 0.0001305186170212766, "loss": 0.3607, "step": 26090 }, { "epoch": 22.83, "learning_rate": 0.00013045212765957446, "loss": 0.3428, "step": 26100 }, { "epoch": 22.84, "learning_rate": 0.00013038563829787233, "loss": 0.4347, "step": 26110 }, { "epoch": 22.85, "learning_rate": 0.0001303191489361702, "loss": 0.2966, "step": 26120 }, { "epoch": 22.86, "learning_rate": 0.00013025265957446807, "loss": 0.5188, "step": 26130 }, { "epoch": 22.87, "learning_rate": 0.00013018617021276594, "loss": 0.2911, "step": 26140 }, { "epoch": 22.88, "learning_rate": 0.0001301196808510638, "loss": 0.3895, "step": 26150 }, { "epoch": 22.89, "learning_rate": 0.0001300531914893617, "loss": 0.4055, "step": 26160 }, { "epoch": 22.9, "learning_rate": 0.00012998670212765957, "loss": 0.3444, "step": 26170 }, { "epoch": 22.9, "learning_rate": 0.00012992021276595744, "loss": 0.407, "step": 26180 }, { "epoch": 22.91, "learning_rate": 0.0001298537234042553, "loss": 0.3479, "step": 26190 }, { "epoch": 22.92, "learning_rate": 0.00012978723404255318, "loss": 0.3657, "step": 26200 }, { "epoch": 22.93, "learning_rate": 0.00012972074468085105, "loss": 0.4422, "step": 26210 }, { "epoch": 22.94, "learning_rate": 0.00012965425531914892, "loss": 0.3191, "step": 26220 }, { "epoch": 22.95, "learning_rate": 0.0001295877659574468, "loss": 0.4634, "step": 26230 }, { "epoch": 22.96, "learning_rate": 0.0001295212765957447, "loss": 0.3084, "step": 26240 }, { "epoch": 22.97, "learning_rate": 0.00012945478723404253, "loss": 0.3569, "step": 26250 }, { "epoch": 22.97, "learning_rate": 0.0001293882978723404, "loss": 0.4126, "step": 26260 }, { "epoch": 22.98, "learning_rate": 0.00012932180851063827, "loss": 0.3154, "step": 26270 }, { "epoch": 22.99, "learning_rate": 0.00012925531914893614, "loss": 0.4272, "step": 26280 }, { "epoch": 23.0, "learning_rate": 0.00012918882978723404, "loss": 0.3112, "step": 26290 }, { "epoch": 23.01, "learning_rate": 0.0001291223404255319, "loss": 0.4143, "step": 26300 }, { "epoch": 23.02, "learning_rate": 0.00012905585106382978, "loss": 0.2965, "step": 26310 }, { "epoch": 23.03, "learning_rate": 0.00012898936170212765, "loss": 0.3541, "step": 26320 }, { "epoch": 23.04, "learning_rate": 0.00012892287234042552, "loss": 0.3308, "step": 26330 }, { "epoch": 23.04, "learning_rate": 0.0001288563829787234, "loss": 0.2968, "step": 26340 }, { "epoch": 23.05, "learning_rate": 0.00012878989361702126, "loss": 0.4355, "step": 26350 }, { "epoch": 23.06, "learning_rate": 0.00012872340425531913, "loss": 0.2734, "step": 26360 }, { "epoch": 23.07, "learning_rate": 0.00012865691489361702, "loss": 0.3837, "step": 26370 }, { "epoch": 23.08, "learning_rate": 0.0001285904255319149, "loss": 0.3263, "step": 26380 }, { "epoch": 23.09, "learning_rate": 0.00012852393617021276, "loss": 0.295, "step": 26390 }, { "epoch": 23.1, "learning_rate": 0.00012845744680851063, "loss": 0.424, "step": 26400 }, { "epoch": 23.1, "eval_cer1": 0.27635798926437327, "eval_cer2": 0.2505988515176374, "eval_cer3": 0.22584122835674617, "eval_cer4": 0.22882256350816188, "eval_cer5": 0.253588110403397, "eval_loss": 1.0314199924468994, "eval_runtime": 1400.8059, "eval_samples_per_second": 6.254, "step": 26400 }, { "epoch": 23.11, "learning_rate": 0.0001283909574468085, "loss": 0.2717, "step": 26410 }, { "epoch": 23.11, "learning_rate": 0.00012832446808510637, "loss": 0.428, "step": 26420 }, { "epoch": 23.12, "learning_rate": 0.00012825797872340424, "loss": 0.3823, "step": 26430 }, { "epoch": 23.13, "learning_rate": 0.00012819148936170211, "loss": 0.2909, "step": 26440 }, { "epoch": 23.14, "learning_rate": 0.00012812499999999998, "loss": 0.4054, "step": 26450 }, { "epoch": 23.15, "learning_rate": 0.00012805851063829785, "loss": 0.3266, "step": 26460 }, { "epoch": 23.16, "learning_rate": 0.00012799202127659572, "loss": 0.3843, "step": 26470 }, { "epoch": 23.17, "learning_rate": 0.0001279255319148936, "loss": 0.2991, "step": 26480 }, { "epoch": 23.18, "learning_rate": 0.00012785904255319146, "loss": 0.3065, "step": 26490 }, { "epoch": 23.18, "learning_rate": 0.00012779255319148936, "loss": 0.438, "step": 26500 }, { "epoch": 23.19, "learning_rate": 0.00012772606382978723, "loss": 0.2879, "step": 26510 }, { "epoch": 23.2, "learning_rate": 0.0001276595744680851, "loss": 0.3609, "step": 26520 }, { "epoch": 23.21, "learning_rate": 0.00012759308510638297, "loss": 0.391, "step": 26530 }, { "epoch": 23.22, "learning_rate": 0.00012752659574468084, "loss": 0.3833, "step": 26540 }, { "epoch": 23.23, "learning_rate": 0.0001274601063829787, "loss": 0.4542, "step": 26550 }, { "epoch": 23.24, "learning_rate": 0.00012739361702127658, "loss": 0.2725, "step": 26560 }, { "epoch": 23.25, "learning_rate": 0.00012732712765957448, "loss": 0.4266, "step": 26570 }, { "epoch": 23.25, "learning_rate": 0.00012726063829787235, "loss": 0.3592, "step": 26580 }, { "epoch": 23.26, "learning_rate": 0.00012719414893617022, "loss": 0.2933, "step": 26590 }, { "epoch": 23.27, "learning_rate": 0.00012712765957446806, "loss": 0.4514, "step": 26600 }, { "epoch": 23.28, "learning_rate": 0.00012706117021276593, "loss": 0.3054, "step": 26610 }, { "epoch": 23.29, "learning_rate": 0.00012699468085106383, "loss": 0.359, "step": 26620 }, { "epoch": 23.3, "learning_rate": 0.0001269281914893617, "loss": 0.3914, "step": 26630 }, { "epoch": 23.31, "learning_rate": 0.00012686170212765957, "loss": 0.3302, "step": 26640 }, { "epoch": 23.32, "learning_rate": 0.00012679521276595744, "loss": 0.4226, "step": 26650 }, { "epoch": 23.32, "learning_rate": 0.0001267287234042553, "loss": 0.3161, "step": 26660 }, { "epoch": 23.33, "learning_rate": 0.00012666223404255317, "loss": 0.3727, "step": 26670 }, { "epoch": 23.34, "learning_rate": 0.00012659574468085104, "loss": 0.3386, "step": 26680 }, { "epoch": 23.35, "learning_rate": 0.00012652925531914891, "loss": 0.3063, "step": 26690 }, { "epoch": 23.36, "learning_rate": 0.0001264627659574468, "loss": 0.4585, "step": 26700 }, { "epoch": 23.37, "learning_rate": 0.00012639627659574468, "loss": 0.3183, "step": 26710 }, { "epoch": 23.38, "learning_rate": 0.00012632978723404255, "loss": 0.414, "step": 26720 }, { "epoch": 23.39, "learning_rate": 0.00012626329787234042, "loss": 0.364, "step": 26730 }, { "epoch": 23.39, "learning_rate": 0.0001261968085106383, "loss": 0.3201, "step": 26740 }, { "epoch": 23.4, "learning_rate": 0.00012613031914893616, "loss": 0.4593, "step": 26750 }, { "epoch": 23.41, "learning_rate": 0.00012606382978723403, "loss": 0.2704, "step": 26760 }, { "epoch": 23.42, "learning_rate": 0.0001259973404255319, "loss": 0.3844, "step": 26770 }, { "epoch": 23.43, "learning_rate": 0.00012593085106382977, "loss": 0.3405, "step": 26780 }, { "epoch": 23.44, "learning_rate": 0.00012586436170212764, "loss": 0.295, "step": 26790 }, { "epoch": 23.45, "learning_rate": 0.0001257978723404255, "loss": 0.435, "step": 26800 }, { "epoch": 23.46, "learning_rate": 0.00012573138297872338, "loss": 0.3137, "step": 26810 }, { "epoch": 23.46, "learning_rate": 0.00012566489361702125, "loss": 0.364, "step": 26820 }, { "epoch": 23.47, "learning_rate": 0.00012559840425531915, "loss": 0.3592, "step": 26830 }, { "epoch": 23.48, "learning_rate": 0.00012553191489361702, "loss": 0.3229, "step": 26840 }, { "epoch": 23.49, "learning_rate": 0.0001254654255319149, "loss": 0.4261, "step": 26850 }, { "epoch": 23.5, "learning_rate": 0.00012539893617021276, "loss": 0.282, "step": 26860 }, { "epoch": 23.51, "learning_rate": 0.00012533244680851063, "loss": 0.4243, "step": 26870 }, { "epoch": 23.52, "learning_rate": 0.0001252659574468085, "loss": 0.3403, "step": 26880 }, { "epoch": 23.53, "learning_rate": 0.00012519946808510637, "loss": 0.3031, "step": 26890 }, { "epoch": 23.53, "learning_rate": 0.00012513297872340424, "loss": 0.4079, "step": 26900 }, { "epoch": 23.54, "learning_rate": 0.00012506648936170213, "loss": 0.3495, "step": 26910 }, { "epoch": 23.55, "learning_rate": 0.000125, "loss": 0.3684, "step": 26920 }, { "epoch": 23.56, "learning_rate": 0.00012493351063829787, "loss": 0.3207, "step": 26930 }, { "epoch": 23.57, "learning_rate": 0.00012486702127659574, "loss": 0.2546, "step": 26940 }, { "epoch": 23.58, "learning_rate": 0.00012480053191489359, "loss": 0.4764, "step": 26950 }, { "epoch": 23.59, "learning_rate": 0.00012473404255319148, "loss": 0.2915, "step": 26960 }, { "epoch": 23.6, "learning_rate": 0.00012466755319148935, "loss": 0.4261, "step": 26970 }, { "epoch": 23.6, "learning_rate": 0.00012460106382978722, "loss": 0.3006, "step": 26980 }, { "epoch": 23.61, "learning_rate": 0.0001245345744680851, "loss": 0.3342, "step": 26990 }, { "epoch": 23.62, "learning_rate": 0.00012446808510638296, "loss": 0.4164, "step": 27000 }, { "epoch": 23.62, "eval_cer1": 0.2698423415819858, "eval_cer2": 0.2459721082854799, "eval_cer3": 0.2241424371120549, "eval_cer4": 0.2256994751923758, "eval_cer5": 0.25171974522292995, "eval_loss": 1.0343782901763916, "eval_runtime": 1386.7142, "eval_samples_per_second": 6.317, "step": 27000 }, { "epoch": 23.63, "learning_rate": 0.00012440159574468083, "loss": 0.2961, "step": 27010 }, { "epoch": 23.64, "learning_rate": 0.0001243351063829787, "loss": 0.4047, "step": 27020 }, { "epoch": 23.65, "learning_rate": 0.00012426861702127657, "loss": 0.2755, "step": 27030 }, { "epoch": 23.66, "learning_rate": 0.00012420212765957447, "loss": 0.3193, "step": 27040 }, { "epoch": 23.67, "learning_rate": 0.00012413563829787234, "loss": 0.4594, "step": 27050 }, { "epoch": 23.67, "learning_rate": 0.0001240691489361702, "loss": 0.3148, "step": 27060 }, { "epoch": 23.68, "learning_rate": 0.00012400265957446808, "loss": 0.3959, "step": 27070 }, { "epoch": 23.69, "learning_rate": 0.00012393617021276595, "loss": 0.3991, "step": 27080 }, { "epoch": 23.7, "learning_rate": 0.00012386968085106382, "loss": 0.3561, "step": 27090 }, { "epoch": 23.71, "learning_rate": 0.0001238031914893617, "loss": 0.4394, "step": 27100 }, { "epoch": 23.72, "learning_rate": 0.00012373670212765956, "loss": 0.316, "step": 27110 }, { "epoch": 23.73, "learning_rate": 0.00012367021276595745, "loss": 0.4124, "step": 27120 }, { "epoch": 23.74, "learning_rate": 0.0001236037234042553, "loss": 0.3595, "step": 27130 }, { "epoch": 23.74, "learning_rate": 0.00012353723404255317, "loss": 0.2912, "step": 27140 }, { "epoch": 23.75, "learning_rate": 0.00012347074468085104, "loss": 0.4619, "step": 27150 }, { "epoch": 23.76, "learning_rate": 0.00012340425531914893, "loss": 0.2748, "step": 27160 }, { "epoch": 23.77, "learning_rate": 0.0001233377659574468, "loss": 0.4158, "step": 27170 }, { "epoch": 23.78, "learning_rate": 0.00012327127659574467, "loss": 0.3796, "step": 27180 }, { "epoch": 23.79, "learning_rate": 0.00012320478723404254, "loss": 0.2541, "step": 27190 }, { "epoch": 23.8, "learning_rate": 0.0001231382978723404, "loss": 0.4001, "step": 27200 }, { "epoch": 23.81, "learning_rate": 0.00012307180851063828, "loss": 0.2972, "step": 27210 }, { "epoch": 23.81, "learning_rate": 0.00012300531914893615, "loss": 0.4062, "step": 27220 }, { "epoch": 23.82, "learning_rate": 0.00012293882978723402, "loss": 0.349, "step": 27230 }, { "epoch": 23.83, "learning_rate": 0.00012287234042553192, "loss": 0.266, "step": 27240 }, { "epoch": 23.84, "learning_rate": 0.0001228058510638298, "loss": 0.4199, "step": 27250 }, { "epoch": 23.85, "learning_rate": 0.00012273936170212766, "loss": 0.2909, "step": 27260 }, { "epoch": 23.86, "learning_rate": 0.00012267287234042553, "loss": 0.3478, "step": 27270 }, { "epoch": 23.87, "learning_rate": 0.0001226063829787234, "loss": 0.3861, "step": 27280 }, { "epoch": 23.88, "learning_rate": 0.00012253989361702127, "loss": 0.3052, "step": 27290 }, { "epoch": 23.88, "learning_rate": 0.00012247340425531914, "loss": 0.3957, "step": 27300 }, { "epoch": 23.89, "learning_rate": 0.000122406914893617, "loss": 0.2195, "step": 27310 }, { "epoch": 23.9, "learning_rate": 0.00012234042553191488, "loss": 0.4105, "step": 27320 }, { "epoch": 23.91, "learning_rate": 0.00012227393617021275, "loss": 0.3528, "step": 27330 }, { "epoch": 23.92, "learning_rate": 0.00012220744680851062, "loss": 0.2182, "step": 27340 }, { "epoch": 23.93, "learning_rate": 0.0001221409574468085, "loss": 0.3753, "step": 27350 }, { "epoch": 23.94, "learning_rate": 0.00012207446808510636, "loss": 0.2714, "step": 27360 }, { "epoch": 23.95, "learning_rate": 0.00012200797872340424, "loss": 0.4577, "step": 27370 }, { "epoch": 23.95, "learning_rate": 0.00012194148936170211, "loss": 0.3986, "step": 27380 }, { "epoch": 23.96, "learning_rate": 0.000121875, "loss": 0.2771, "step": 27390 }, { "epoch": 23.97, "learning_rate": 0.00012180851063829786, "loss": 0.4185, "step": 27400 }, { "epoch": 23.98, "learning_rate": 0.00012174202127659573, "loss": 0.3425, "step": 27410 }, { "epoch": 23.99, "learning_rate": 0.0001216755319148936, "loss": 0.3918, "step": 27420 }, { "epoch": 24.0, "learning_rate": 0.00012160904255319149, "loss": 0.3223, "step": 27430 }, { "epoch": 24.01, "learning_rate": 0.00012154255319148936, "loss": 0.462, "step": 27440 }, { "epoch": 24.02, "learning_rate": 0.00012147606382978723, "loss": 0.2669, "step": 27450 }, { "epoch": 24.02, "learning_rate": 0.0001214095744680851, "loss": 0.2796, "step": 27460 }, { "epoch": 24.03, "learning_rate": 0.00012134308510638298, "loss": 0.3234, "step": 27470 }, { "epoch": 24.04, "learning_rate": 0.00012127659574468084, "loss": 0.2189, "step": 27480 }, { "epoch": 24.05, "learning_rate": 0.0001212101063829787, "loss": 0.3613, "step": 27490 }, { "epoch": 24.06, "learning_rate": 0.00012114361702127658, "loss": 0.2877, "step": 27500 }, { "epoch": 24.07, "learning_rate": 0.00012107712765957445, "loss": 0.2961, "step": 27510 }, { "epoch": 24.08, "learning_rate": 0.00012101063829787233, "loss": 0.3661, "step": 27520 }, { "epoch": 24.09, "learning_rate": 0.0001209441489361702, "loss": 0.2302, "step": 27530 }, { "epoch": 24.09, "learning_rate": 0.00012087765957446807, "loss": 0.3697, "step": 27540 }, { "epoch": 24.1, "learning_rate": 0.00012081117021276594, "loss": 0.305, "step": 27550 }, { "epoch": 24.11, "learning_rate": 0.00012074468085106382, "loss": 0.2548, "step": 27560 }, { "epoch": 24.12, "learning_rate": 0.00012067819148936169, "loss": 0.2987, "step": 27570 }, { "epoch": 24.13, "learning_rate": 0.00012061170212765956, "loss": 0.2833, "step": 27580 }, { "epoch": 24.14, "learning_rate": 0.00012054521276595743, "loss": 0.3481, "step": 27590 }, { "epoch": 24.15, "learning_rate": 0.00012047872340425532, "loss": 0.2869, "step": 27600 }, { "epoch": 24.15, "eval_cer1": 0.26882954660544883, "eval_cer2": 0.24485643970467597, "eval_cer3": 0.2234563868016988, "eval_cer4": 0.22144949933996588, "eval_cer5": 0.24883227176220807, "eval_loss": 1.0210694074630737, "eval_runtime": 1390.8693, "eval_samples_per_second": 6.298, "step": 27600 } ], "max_steps": 45720, "num_train_epochs": 40, "total_flos": 1.601241517283e+20, "trial_name": null, "trial_params": null }