{ "best_metric": null, "best_model_checkpoint": null, "epoch": 2.9986516853932583, "global_step": 3336, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 0.00014285714285714287, "loss": 2.1522, "step": 5 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 2.1153, "step": 10 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 2.1966, "step": 15 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 2.0445, "step": 20 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 2.129, "step": 25 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 2.1375, "step": 30 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 2.222, "step": 35 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 2.1855, "step": 40 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 2.0923, "step": 45 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 2.1476, "step": 50 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 2.1455, "step": 55 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 2.0955, "step": 60 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 2.1059, "step": 65 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 2.1632, "step": 70 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 2.1201, "step": 75 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 2.0771, "step": 80 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 2.0987, "step": 85 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 2.1079, "step": 90 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 2.0977, "step": 95 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 2.1799, "step": 100 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 2.1506, "step": 105 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 2.1915, "step": 110 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 2.1582, "step": 115 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 2.152, "step": 120 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 2.1891, "step": 125 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 2.134, "step": 130 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 2.0751, "step": 135 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 2.1839, "step": 140 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 2.0991, "step": 145 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 2.1025, "step": 150 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 2.0104, "step": 155 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 2.0413, "step": 160 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 2.2118, "step": 165 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 2.0967, "step": 170 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 2.1071, "step": 175 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 2.133, "step": 180 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 1.9729, "step": 185 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 2.1274, "step": 190 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 2.1024, "step": 195 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 2.1811, "step": 200 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 2.185, "step": 205 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 2.1036, "step": 210 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 2.1459, "step": 215 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 2.0876, "step": 220 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 2.0875, "step": 225 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 2.055, "step": 230 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 2.1818, "step": 235 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 2.1068, "step": 240 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 2.2196, "step": 245 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 2.1927, "step": 250 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 2.036, "step": 255 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 2.1142, "step": 260 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 2.1268, "step": 265 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 2.1791, "step": 270 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 2.1283, "step": 275 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 2.193, "step": 280 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 2.0152, "step": 285 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 2.0009, "step": 290 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 2.1249, "step": 295 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 2.1407, "step": 300 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 2.1295, "step": 305 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 2.089, "step": 310 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 2.0329, "step": 315 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 2.0177, "step": 320 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 2.0617, "step": 325 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 2.1508, "step": 330 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 2.0777, "step": 335 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 2.1076, "step": 340 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 2.0268, "step": 345 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 2.0524, "step": 350 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 2.2323, "step": 355 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 2.0497, "step": 360 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 2.1242, "step": 365 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 2.0884, "step": 370 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 2.1387, "step": 375 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 2.0996, "step": 380 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 2.0888, "step": 385 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 2.075, "step": 390 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 2.0399, "step": 395 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 2.0794, "step": 400 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 2.1025, "step": 405 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 2.0167, "step": 410 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 2.1276, "step": 415 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 2.1315, "step": 420 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 2.1187, "step": 425 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 2.1076, "step": 430 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 2.0695, "step": 435 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 2.0748, "step": 440 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 2.2029, "step": 445 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 2.1045, "step": 450 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 2.1248, "step": 455 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 2.1507, "step": 460 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 2.1449, "step": 465 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 2.1644, "step": 470 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 2.032, "step": 475 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 2.0764, "step": 480 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 2.1192, "step": 485 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 2.0544, "step": 490 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 2.1685, "step": 495 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 2.0982, "step": 500 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 2.1693, "step": 505 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 2.1791, "step": 510 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 2.0983, "step": 515 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 2.1951, "step": 520 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 2.1016, "step": 525 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 2.036, "step": 530 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 2.1191, "step": 535 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 2.1521, "step": 540 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 2.0011, "step": 545 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 2.1262, "step": 550 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 2.0556, "step": 555 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 2.1164, "step": 560 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 1.9819, "step": 565 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 2.0956, "step": 570 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 2.0392, "step": 575 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 1.9776, "step": 580 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 2.0342, "step": 585 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 2.2182, "step": 590 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 2.0083, "step": 595 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 2.0577, "step": 600 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 2.0761, "step": 605 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 2.0859, "step": 610 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 2.1006, "step": 615 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 1.995, "step": 620 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 2.0788, "step": 625 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 2.1673, "step": 630 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 2.139, "step": 635 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 2.1512, "step": 640 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 2.1254, "step": 645 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 2.0226, "step": 650 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 2.0838, "step": 655 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 2.0932, "step": 660 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 2.1345, "step": 665 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 2.0827, "step": 670 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 2.1414, "step": 675 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 2.0599, "step": 680 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 2.1055, "step": 685 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 2.0964, "step": 690 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 2.0999, "step": 695 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 2.0562, "step": 700 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 2.1069, "step": 705 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 2.0947, "step": 710 }, { "epoch": 0.64, "learning_rate": 0.0002, "loss": 2.1343, "step": 715 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 2.0173, "step": 720 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 2.1017, "step": 725 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 1.9641, "step": 730 }, { "epoch": 0.66, "learning_rate": 0.0002, "loss": 2.1025, "step": 735 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 2.0687, "step": 740 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 2.236, "step": 745 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 2.0522, "step": 750 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 2.0771, "step": 755 }, { "epoch": 0.68, "learning_rate": 0.0002, "loss": 2.0485, "step": 760 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.8949, "step": 765 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 1.9603, "step": 770 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 2.074, "step": 775 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 2.0713, "step": 780 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 2.0783, "step": 785 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 1.9597, "step": 790 }, { "epoch": 0.71, "learning_rate": 0.0002, "loss": 2.0893, "step": 795 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 2.0602, "step": 800 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 2.162, "step": 805 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 2.1747, "step": 810 }, { "epoch": 0.73, "learning_rate": 0.0002, "loss": 2.1334, "step": 815 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 2.0435, "step": 820 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 2.1426, "step": 825 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 2.1423, "step": 830 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 2.2027, "step": 835 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 1.9743, "step": 840 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 2.0254, "step": 845 }, { "epoch": 0.76, "learning_rate": 0.0002, "loss": 2.0267, "step": 850 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 2.1039, "step": 855 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 2.0299, "step": 860 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 2.1488, "step": 865 }, { "epoch": 0.78, "learning_rate": 0.0002, "loss": 2.0275, "step": 870 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 2.1143, "step": 875 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 2.1606, "step": 880 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 2.0503, "step": 885 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 2.04, "step": 890 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 2.0776, "step": 895 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 2.1319, "step": 900 }, { "epoch": 0.81, "learning_rate": 0.0002, "loss": 2.0666, "step": 905 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 2.053, "step": 910 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 1.9928, "step": 915 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 2.1031, "step": 920 }, { "epoch": 0.83, "learning_rate": 0.0002, "loss": 2.0299, "step": 925 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 2.0994, "step": 930 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 2.0448, "step": 935 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 2.0595, "step": 940 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 2.0684, "step": 945 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 2.0864, "step": 950 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 2.124, "step": 955 }, { "epoch": 0.86, "learning_rate": 0.0002, "loss": 1.9532, "step": 960 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 2.12, "step": 965 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 2.0919, "step": 970 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 2.1219, "step": 975 }, { "epoch": 0.88, "learning_rate": 0.0002, "loss": 2.064, "step": 980 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 2.0373, "step": 985 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 2.1743, "step": 990 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 2.1573, "step": 995 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 2.1227, "step": 1000 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 2.0709, "step": 1005 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 2.0339, "step": 1010 }, { "epoch": 0.91, "learning_rate": 0.0002, "loss": 2.1041, "step": 1015 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 1.964, "step": 1020 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 2.08, "step": 1025 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 2.0518, "step": 1030 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 2.0307, "step": 1035 }, { "epoch": 0.93, "learning_rate": 0.0002, "loss": 2.0245, "step": 1040 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 2.0705, "step": 1045 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 2.0527, "step": 1050 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 2.1128, "step": 1055 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 2.1393, "step": 1060 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 1.9537, "step": 1065 }, { "epoch": 0.96, "learning_rate": 0.0002, "loss": 2.0637, "step": 1070 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 2.0353, "step": 1075 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 1.9832, "step": 1080 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 1.9752, "step": 1085 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 2.0359, "step": 1090 }, { "epoch": 0.98, "learning_rate": 0.0002, "loss": 2.0974, "step": 1095 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 2.0753, "step": 1100 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 2.1015, "step": 1105 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 2.066, "step": 1110 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 2.0608, "step": 1115 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 1.9895, "step": 1120 }, { "epoch": 1.01, "learning_rate": 0.0002, "loss": 1.9744, "step": 1125 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 2.054, "step": 1130 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 1.9988, "step": 1135 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 2.053, "step": 1140 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 2.0016, "step": 1145 }, { "epoch": 1.03, "learning_rate": 0.0002, "loss": 2.0695, "step": 1150 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 2.0228, "step": 1155 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 2.057, "step": 1160 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 2.0661, "step": 1165 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 2.0485, "step": 1170 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 1.9971, "step": 1175 }, { "epoch": 1.06, "learning_rate": 0.0002, "loss": 2.0407, "step": 1180 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 2.1142, "step": 1185 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 2.0038, "step": 1190 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 2.0038, "step": 1195 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 2.0773, "step": 1200 }, { "epoch": 1.08, "learning_rate": 0.0002, "loss": 2.0318, "step": 1205 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 2.0458, "step": 1210 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 1.9554, "step": 1215 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 2.0387, "step": 1220 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 2.0064, "step": 1225 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 2.0005, "step": 1230 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 2.0559, "step": 1235 }, { "epoch": 1.11, "learning_rate": 0.0002, "loss": 2.0194, "step": 1240 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 2.0007, "step": 1245 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 2.0846, "step": 1250 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 2.1337, "step": 1255 }, { "epoch": 1.13, "learning_rate": 0.0002, "loss": 2.0797, "step": 1260 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 1.987, "step": 1265 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 2.0475, "step": 1270 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 2.0013, "step": 1275 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 2.015, "step": 1280 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 2.0226, "step": 1285 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 1.9841, "step": 1290 }, { "epoch": 1.16, "learning_rate": 0.0002, "loss": 2.0383, "step": 1295 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 2.124, "step": 1300 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 2.0644, "step": 1305 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 1.9905, "step": 1310 }, { "epoch": 1.18, "learning_rate": 0.0002, "loss": 2.0737, "step": 1315 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 2.1003, "step": 1320 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 2.004, "step": 1325 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 1.9829, "step": 1330 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 2.0634, "step": 1335 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 2.0428, "step": 1340 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 1.9416, "step": 1345 }, { "epoch": 1.21, "learning_rate": 0.0002, "loss": 2.1038, "step": 1350 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 1.9866, "step": 1355 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 2.0276, "step": 1360 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 2.0687, "step": 1365 }, { "epoch": 1.23, "learning_rate": 0.0002, "loss": 1.9582, "step": 1370 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 1.9865, "step": 1375 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 2.0927, "step": 1380 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 2.1238, "step": 1385 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 1.8871, "step": 1390 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 2.0573, "step": 1395 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 2.0741, "step": 1400 }, { "epoch": 1.26, "learning_rate": 0.0002, "loss": 2.0955, "step": 1405 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 2.0308, "step": 1410 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 1.9725, "step": 1415 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 2.0641, "step": 1420 }, { "epoch": 1.28, "learning_rate": 0.0002, "loss": 2.1123, "step": 1425 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 2.0281, "step": 1430 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 2.0856, "step": 1435 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 2.0672, "step": 1440 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 2.0245, "step": 1445 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 2.1526, "step": 1450 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 1.9798, "step": 1455 }, { "epoch": 1.31, "learning_rate": 0.0002, "loss": 2.0419, "step": 1460 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 2.0524, "step": 1465 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 2.0126, "step": 1470 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 2.0409, "step": 1475 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 2.0467, "step": 1480 }, { "epoch": 1.33, "learning_rate": 0.0002, "loss": 2.1037, "step": 1485 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 2.1238, "step": 1490 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 2.0907, "step": 1495 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 2.0154, "step": 1500 }, { "epoch": 1.35, "learning_rate": 0.0002, "loss": 1.9919, "step": 1505 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 2.0587, "step": 1510 }, { "epoch": 1.36, "learning_rate": 0.0002, "loss": 2.0638, "step": 1515 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 2.0735, "step": 1520 }, { "epoch": 1.37, "learning_rate": 0.0002, "loss": 1.9985, "step": 1525 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 2.0722, "step": 1530 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 2.0665, "step": 1535 }, { "epoch": 1.38, "learning_rate": 0.0002, "loss": 2.042, "step": 1540 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 2.0074, "step": 1545 }, { "epoch": 1.39, "learning_rate": 0.0002, "loss": 1.9094, "step": 1550 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 1.9634, "step": 1555 }, { "epoch": 1.4, "learning_rate": 0.0002, "loss": 1.9839, "step": 1560 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 2.1577, "step": 1565 }, { "epoch": 1.41, "learning_rate": 0.0002, "loss": 2.0551, "step": 1570 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 2.0602, "step": 1575 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 2.0428, "step": 1580 }, { "epoch": 1.42, "learning_rate": 0.0002, "loss": 2.1107, "step": 1585 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 1.9711, "step": 1590 }, { "epoch": 1.43, "learning_rate": 0.0002, "loss": 2.0454, "step": 1595 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 2.0748, "step": 1600 }, { "epoch": 1.44, "learning_rate": 0.0002, "loss": 2.0038, "step": 1605 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 2.0406, "step": 1610 }, { "epoch": 1.45, "learning_rate": 0.0002, "loss": 1.9877, "step": 1615 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 2.0979, "step": 1620 }, { "epoch": 1.46, "learning_rate": 0.0002, "loss": 2.0185, "step": 1625 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 1.9865, "step": 1630 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 2.005, "step": 1635 }, { "epoch": 1.47, "learning_rate": 0.0002, "loss": 2.0063, "step": 1640 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 2.0485, "step": 1645 }, { "epoch": 1.48, "learning_rate": 0.0002, "loss": 2.0386, "step": 1650 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 2.0974, "step": 1655 }, { "epoch": 1.49, "learning_rate": 0.0002, "loss": 2.0669, "step": 1660 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 1.9982, "step": 1665 }, { "epoch": 1.5, "learning_rate": 0.0002, "loss": 2.0033, "step": 1670 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 1.958, "step": 1675 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 1.9564, "step": 1680 }, { "epoch": 1.51, "learning_rate": 0.0002, "loss": 2.0332, "step": 1685 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 1.9938, "step": 1690 }, { "epoch": 1.52, "learning_rate": 0.0002, "loss": 1.9808, "step": 1695 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 2.0822, "step": 1700 }, { "epoch": 1.53, "learning_rate": 0.0002, "loss": 2.0447, "step": 1705 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 1.9504, "step": 1710 }, { "epoch": 1.54, "learning_rate": 0.0002, "loss": 2.0112, "step": 1715 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 2.0605, "step": 1720 }, { "epoch": 1.55, "learning_rate": 0.0002, "loss": 2.0779, "step": 1725 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 2.0668, "step": 1730 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 2.0865, "step": 1735 }, { "epoch": 1.56, "learning_rate": 0.0002, "loss": 2.0448, "step": 1740 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 2.0022, "step": 1745 }, { "epoch": 1.57, "learning_rate": 0.0002, "loss": 2.0191, "step": 1750 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 1.9709, "step": 1755 }, { "epoch": 1.58, "learning_rate": 0.0002, "loss": 2.0996, "step": 1760 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 2.0665, "step": 1765 }, { "epoch": 1.59, "learning_rate": 0.0002, "loss": 2.0026, "step": 1770 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 1.99, "step": 1775 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 1.9911, "step": 1780 }, { "epoch": 1.6, "learning_rate": 0.0002, "loss": 1.9545, "step": 1785 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 1.9896, "step": 1790 }, { "epoch": 1.61, "learning_rate": 0.0002, "loss": 2.0052, "step": 1795 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 2.0018, "step": 1800 }, { "epoch": 1.62, "learning_rate": 0.0002, "loss": 1.9814, "step": 1805 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 2.0657, "step": 1810 }, { "epoch": 1.63, "learning_rate": 0.0002, "loss": 2.0972, "step": 1815 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 1.9325, "step": 1820 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 2.0156, "step": 1825 }, { "epoch": 1.64, "learning_rate": 0.0002, "loss": 2.1249, "step": 1830 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 2.0976, "step": 1835 }, { "epoch": 1.65, "learning_rate": 0.0002, "loss": 2.0244, "step": 1840 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 2.0838, "step": 1845 }, { "epoch": 1.66, "learning_rate": 0.0002, "loss": 1.9799, "step": 1850 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 1.9803, "step": 1855 }, { "epoch": 1.67, "learning_rate": 0.0002, "loss": 1.9679, "step": 1860 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 1.9555, "step": 1865 }, { "epoch": 1.68, "learning_rate": 0.0002, "loss": 2.0569, "step": 1870 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 2.0188, "step": 1875 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 2.0643, "step": 1880 }, { "epoch": 1.69, "learning_rate": 0.0002, "loss": 2.14, "step": 1885 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 1.9972, "step": 1890 }, { "epoch": 1.7, "learning_rate": 0.0002, "loss": 2.0366, "step": 1895 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 2.0284, "step": 1900 }, { "epoch": 1.71, "learning_rate": 0.0002, "loss": 2.0579, "step": 1905 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 2.0083, "step": 1910 }, { "epoch": 1.72, "learning_rate": 0.0002, "loss": 2.0264, "step": 1915 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 1.9787, "step": 1920 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 2.0181, "step": 1925 }, { "epoch": 1.73, "learning_rate": 0.0002, "loss": 2.0741, "step": 1930 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 2.109, "step": 1935 }, { "epoch": 1.74, "learning_rate": 0.0002, "loss": 2.0251, "step": 1940 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 2.0554, "step": 1945 }, { "epoch": 1.75, "learning_rate": 0.0002, "loss": 2.0581, "step": 1950 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 1.9969, "step": 1955 }, { "epoch": 1.76, "learning_rate": 0.0002, "loss": 2.0673, "step": 1960 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 2.1152, "step": 1965 }, { "epoch": 1.77, "learning_rate": 0.0002, "loss": 1.9933, "step": 1970 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 1.9623, "step": 1975 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 1.9943, "step": 1980 }, { "epoch": 1.78, "learning_rate": 0.0002, "loss": 1.9933, "step": 1985 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 1.9461, "step": 1990 }, { "epoch": 1.79, "learning_rate": 0.0002, "loss": 2.0254, "step": 1995 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 2.1032, "step": 2000 }, { "epoch": 1.8, "learning_rate": 0.0002, "loss": 1.9983, "step": 2005 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 1.9862, "step": 2010 }, { "epoch": 1.81, "learning_rate": 0.0002, "loss": 2.1021, "step": 2015 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 2.0499, "step": 2020 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 1.9565, "step": 2025 }, { "epoch": 1.82, "learning_rate": 0.0002, "loss": 1.9829, "step": 2030 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 2.081, "step": 2035 }, { "epoch": 1.83, "learning_rate": 0.0002, "loss": 2.0852, "step": 2040 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 2.0039, "step": 2045 }, { "epoch": 1.84, "learning_rate": 0.0002, "loss": 2.0727, "step": 2050 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 2.0764, "step": 2055 }, { "epoch": 1.85, "learning_rate": 0.0002, "loss": 2.0426, "step": 2060 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 2.1461, "step": 2065 }, { "epoch": 1.86, "learning_rate": 0.0002, "loss": 2.0314, "step": 2070 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 2.0846, "step": 2075 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 2.1664, "step": 2080 }, { "epoch": 1.87, "learning_rate": 0.0002, "loss": 2.0705, "step": 2085 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 2.0439, "step": 2090 }, { "epoch": 1.88, "learning_rate": 0.0002, "loss": 2.0807, "step": 2095 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 1.997, "step": 2100 }, { "epoch": 1.89, "learning_rate": 0.0002, "loss": 2.0189, "step": 2105 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 2.056, "step": 2110 }, { "epoch": 1.9, "learning_rate": 0.0002, "loss": 2.0832, "step": 2115 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 2.0163, "step": 2120 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 2.0145, "step": 2125 }, { "epoch": 1.91, "learning_rate": 0.0002, "loss": 2.0765, "step": 2130 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 2.0208, "step": 2135 }, { "epoch": 1.92, "learning_rate": 0.0002, "loss": 2.0408, "step": 2140 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 1.9439, "step": 2145 }, { "epoch": 1.93, "learning_rate": 0.0002, "loss": 1.978, "step": 2150 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 2.1421, "step": 2155 }, { "epoch": 1.94, "learning_rate": 0.0002, "loss": 2.0027, "step": 2160 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 2.0091, "step": 2165 }, { "epoch": 1.95, "learning_rate": 0.0002, "loss": 1.9229, "step": 2170 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 1.9744, "step": 2175 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 2.0321, "step": 2180 }, { "epoch": 1.96, "learning_rate": 0.0002, "loss": 2.0983, "step": 2185 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 2.1434, "step": 2190 }, { "epoch": 1.97, "learning_rate": 0.0002, "loss": 2.0524, "step": 2195 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 2.1093, "step": 2200 }, { "epoch": 1.98, "learning_rate": 0.0002, "loss": 1.9859, "step": 2205 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 1.9931, "step": 2210 }, { "epoch": 1.99, "learning_rate": 0.0002, "loss": 2.0115, "step": 2215 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 1.9579, "step": 2220 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 2.042, "step": 2225 }, { "epoch": 2.0, "learning_rate": 0.0002, "loss": 2.0394, "step": 2230 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 1.9881, "step": 2235 }, { "epoch": 2.01, "learning_rate": 0.0002, "loss": 1.9385, "step": 2240 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 1.984, "step": 2245 }, { "epoch": 2.02, "learning_rate": 0.0002, "loss": 1.8972, "step": 2250 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 2.0127, "step": 2255 }, { "epoch": 2.03, "learning_rate": 0.0002, "loss": 2.0322, "step": 2260 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 1.9344, "step": 2265 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 1.9156, "step": 2270 }, { "epoch": 2.04, "learning_rate": 0.0002, "loss": 1.9947, "step": 2275 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 1.9557, "step": 2280 }, { "epoch": 2.05, "learning_rate": 0.0002, "loss": 1.9373, "step": 2285 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 2.0865, "step": 2290 }, { "epoch": 2.06, "learning_rate": 0.0002, "loss": 1.9885, "step": 2295 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 2.0106, "step": 2300 }, { "epoch": 2.07, "learning_rate": 0.0002, "loss": 1.9263, "step": 2305 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 1.8822, "step": 2310 }, { "epoch": 2.08, "learning_rate": 0.0002, "loss": 1.9703, "step": 2315 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 1.9723, "step": 2320 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 1.955, "step": 2325 }, { "epoch": 2.09, "learning_rate": 0.0002, "loss": 1.9522, "step": 2330 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 2.0376, "step": 2335 }, { "epoch": 2.1, "learning_rate": 0.0002, "loss": 2.0, "step": 2340 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 1.8136, "step": 2345 }, { "epoch": 2.11, "learning_rate": 0.0002, "loss": 1.8973, "step": 2350 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 1.8794, "step": 2355 }, { "epoch": 2.12, "learning_rate": 0.0002, "loss": 2.0367, "step": 2360 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 1.9562, "step": 2365 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 1.99, "step": 2370 }, { "epoch": 2.13, "learning_rate": 0.0002, "loss": 1.9503, "step": 2375 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 2.0289, "step": 2380 }, { "epoch": 2.14, "learning_rate": 0.0002, "loss": 1.9522, "step": 2385 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 1.9947, "step": 2390 }, { "epoch": 2.15, "learning_rate": 0.0002, "loss": 2.0269, "step": 2395 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 1.9271, "step": 2400 }, { "epoch": 2.16, "learning_rate": 0.0002, "loss": 2.0773, "step": 2405 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 1.9706, "step": 2410 }, { "epoch": 2.17, "learning_rate": 0.0002, "loss": 2.0688, "step": 2415 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 1.9785, "step": 2420 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 1.8934, "step": 2425 }, { "epoch": 2.18, "learning_rate": 0.0002, "loss": 2.059, "step": 2430 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 1.8678, "step": 2435 }, { "epoch": 2.19, "learning_rate": 0.0002, "loss": 2.0496, "step": 2440 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 2.0301, "step": 2445 }, { "epoch": 2.2, "learning_rate": 0.0002, "loss": 2.0092, "step": 2450 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 1.9622, "step": 2455 }, { "epoch": 2.21, "learning_rate": 0.0002, "loss": 2.033, "step": 2460 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 2.065, "step": 2465 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 2.0195, "step": 2470 }, { "epoch": 2.22, "learning_rate": 0.0002, "loss": 1.9856, "step": 2475 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 1.9478, "step": 2480 }, { "epoch": 2.23, "learning_rate": 0.0002, "loss": 1.9775, "step": 2485 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 2.0245, "step": 2490 }, { "epoch": 2.24, "learning_rate": 0.0002, "loss": 1.9808, "step": 2495 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 1.9839, "step": 2500 }, { "epoch": 2.25, "learning_rate": 0.0002, "loss": 2.0303, "step": 2505 }, { "epoch": 2.26, "learning_rate": 0.0002, "loss": 2.0041, "step": 2510 }, { "epoch": 2.26, "learning_rate": 0.0002, "loss": 1.9821, "step": 2515 }, { "epoch": 2.27, "learning_rate": 0.0002, "loss": 2.0558, "step": 2520 }, { "epoch": 2.27, "learning_rate": 0.0002, "loss": 1.9337, "step": 2525 }, { "epoch": 2.27, "learning_rate": 0.0002, "loss": 1.9905, "step": 2530 }, { "epoch": 2.28, "learning_rate": 0.0002, "loss": 1.944, "step": 2535 }, { "epoch": 2.28, "learning_rate": 0.0002, "loss": 1.9393, "step": 2540 }, { "epoch": 2.29, "learning_rate": 0.0002, "loss": 1.9812, "step": 2545 }, { "epoch": 2.29, "learning_rate": 0.0002, "loss": 1.9049, "step": 2550 }, { "epoch": 2.3, "learning_rate": 0.0002, "loss": 1.9862, "step": 2555 }, { "epoch": 2.3, "learning_rate": 0.0002, "loss": 2.0057, "step": 2560 }, { "epoch": 2.31, "learning_rate": 0.0002, "loss": 1.9763, "step": 2565 }, { "epoch": 2.31, "learning_rate": 0.0002, "loss": 1.9989, "step": 2570 }, { "epoch": 2.31, "learning_rate": 0.0002, "loss": 1.9061, "step": 2575 }, { "epoch": 2.32, "learning_rate": 0.0002, "loss": 1.9701, "step": 2580 }, { "epoch": 2.32, "learning_rate": 0.0002, "loss": 1.9051, "step": 2585 }, { "epoch": 2.33, "learning_rate": 0.0002, "loss": 1.9026, "step": 2590 }, { "epoch": 2.33, "learning_rate": 0.0002, "loss": 1.9964, "step": 2595 }, { "epoch": 2.34, "learning_rate": 0.0002, "loss": 1.9455, "step": 2600 }, { "epoch": 2.34, "learning_rate": 0.0002, "loss": 1.9355, "step": 2605 }, { "epoch": 2.35, "learning_rate": 0.0002, "loss": 1.9866, "step": 2610 }, { "epoch": 2.35, "learning_rate": 0.0002, "loss": 1.921, "step": 2615 }, { "epoch": 2.36, "learning_rate": 0.0002, "loss": 2.0324, "step": 2620 }, { "epoch": 2.36, "learning_rate": 0.0002, "loss": 1.9441, "step": 2625 }, { "epoch": 2.36, "learning_rate": 0.0002, "loss": 1.9736, "step": 2630 }, { "epoch": 2.37, "learning_rate": 0.0002, "loss": 1.8812, "step": 2635 }, { "epoch": 2.37, "learning_rate": 0.0002, "loss": 2.0055, "step": 2640 }, { "epoch": 2.38, "learning_rate": 0.0002, "loss": 1.9584, "step": 2645 }, { "epoch": 2.38, "learning_rate": 0.0002, "loss": 1.9264, "step": 2650 }, { "epoch": 2.39, "learning_rate": 0.0002, "loss": 1.9187, "step": 2655 }, { "epoch": 2.39, "learning_rate": 0.0002, "loss": 1.9087, "step": 2660 }, { "epoch": 2.4, "learning_rate": 0.0002, "loss": 1.888, "step": 2665 }, { "epoch": 2.4, "learning_rate": 0.0002, "loss": 1.9745, "step": 2670 }, { "epoch": 2.4, "learning_rate": 0.0002, "loss": 1.9592, "step": 2675 }, { "epoch": 2.41, "learning_rate": 0.0002, "loss": 1.9549, "step": 2680 }, { "epoch": 2.41, "learning_rate": 0.0002, "loss": 1.9745, "step": 2685 }, { "epoch": 2.42, "learning_rate": 0.0002, "loss": 1.9604, "step": 2690 }, { "epoch": 2.42, "learning_rate": 0.0002, "loss": 1.8755, "step": 2695 }, { "epoch": 2.43, "learning_rate": 0.0002, "loss": 2.0011, "step": 2700 }, { "epoch": 2.43, "learning_rate": 0.0002, "loss": 1.9574, "step": 2705 }, { "epoch": 2.44, "learning_rate": 0.0002, "loss": 2.0206, "step": 2710 }, { "epoch": 2.44, "learning_rate": 0.0002, "loss": 1.9416, "step": 2715 }, { "epoch": 2.44, "learning_rate": 0.0002, "loss": 1.9429, "step": 2720 }, { "epoch": 2.45, "learning_rate": 0.0002, "loss": 1.9836, "step": 2725 }, { "epoch": 2.45, "learning_rate": 0.0002, "loss": 2.0279, "step": 2730 }, { "epoch": 2.46, "learning_rate": 0.0002, "loss": 2.0464, "step": 2735 }, { "epoch": 2.46, "learning_rate": 0.0002, "loss": 1.9094, "step": 2740 }, { "epoch": 2.47, "learning_rate": 0.0002, "loss": 1.9515, "step": 2745 }, { "epoch": 2.47, "learning_rate": 0.0002, "loss": 1.9832, "step": 2750 }, { "epoch": 2.48, "learning_rate": 0.0002, "loss": 1.9372, "step": 2755 }, { "epoch": 2.48, "learning_rate": 0.0002, "loss": 2.1184, "step": 2760 }, { "epoch": 2.49, "learning_rate": 0.0002, "loss": 1.9291, "step": 2765 }, { "epoch": 2.49, "learning_rate": 0.0002, "loss": 1.961, "step": 2770 }, { "epoch": 2.49, "learning_rate": 0.0002, "loss": 1.9648, "step": 2775 }, { "epoch": 2.5, "learning_rate": 0.0002, "loss": 1.9476, "step": 2780 }, { "epoch": 2.5, "learning_rate": 0.0002, "loss": 1.9632, "step": 2785 }, { "epoch": 2.51, "learning_rate": 0.0002, "loss": 1.9584, "step": 2790 }, { "epoch": 2.51, "learning_rate": 0.0002, "loss": 1.9579, "step": 2795 }, { "epoch": 2.52, "learning_rate": 0.0002, "loss": 1.9163, "step": 2800 }, { "epoch": 2.52, "learning_rate": 0.0002, "loss": 1.9172, "step": 2805 }, { "epoch": 2.53, "learning_rate": 0.0002, "loss": 1.9536, "step": 2810 }, { "epoch": 2.53, "learning_rate": 0.0002, "loss": 1.9738, "step": 2815 }, { "epoch": 2.53, "learning_rate": 0.0002, "loss": 1.847, "step": 2820 }, { "epoch": 2.54, "learning_rate": 0.0002, "loss": 2.0218, "step": 2825 }, { "epoch": 2.54, "learning_rate": 0.0002, "loss": 2.0131, "step": 2830 }, { "epoch": 2.55, "learning_rate": 0.0002, "loss": 2.0069, "step": 2835 }, { "epoch": 2.55, "learning_rate": 0.0002, "loss": 2.0603, "step": 2840 }, { "epoch": 2.56, "learning_rate": 0.0002, "loss": 2.0213, "step": 2845 }, { "epoch": 2.56, "learning_rate": 0.0002, "loss": 1.952, "step": 2850 }, { "epoch": 2.57, "learning_rate": 0.0002, "loss": 1.9705, "step": 2855 }, { "epoch": 2.57, "learning_rate": 0.0002, "loss": 1.99, "step": 2860 }, { "epoch": 2.58, "learning_rate": 0.0002, "loss": 1.9214, "step": 2865 }, { "epoch": 2.58, "learning_rate": 0.0002, "loss": 2.028, "step": 2870 }, { "epoch": 2.58, "learning_rate": 0.0002, "loss": 1.9956, "step": 2875 }, { "epoch": 2.59, "learning_rate": 0.0002, "loss": 2.0084, "step": 2880 }, { "epoch": 2.59, "learning_rate": 0.0002, "loss": 1.9649, "step": 2885 }, { "epoch": 2.6, "learning_rate": 0.0002, "loss": 1.9657, "step": 2890 }, { "epoch": 2.6, "learning_rate": 0.0002, "loss": 1.9632, "step": 2895 }, { "epoch": 2.61, "learning_rate": 0.0002, "loss": 1.9227, "step": 2900 }, { "epoch": 2.61, "learning_rate": 0.0002, "loss": 1.9293, "step": 2905 }, { "epoch": 2.62, "learning_rate": 0.0002, "loss": 2.0111, "step": 2910 }, { "epoch": 2.62, "learning_rate": 0.0002, "loss": 1.9686, "step": 2915 }, { "epoch": 2.62, "learning_rate": 0.0002, "loss": 1.9098, "step": 2920 }, { "epoch": 2.63, "learning_rate": 0.0002, "loss": 1.9402, "step": 2925 }, { "epoch": 2.63, "learning_rate": 0.0002, "loss": 2.0028, "step": 2930 }, { "epoch": 2.64, "learning_rate": 0.0002, "loss": 1.9038, "step": 2935 }, { "epoch": 2.64, "learning_rate": 0.0002, "loss": 1.9543, "step": 2940 }, { "epoch": 2.65, "learning_rate": 0.0002, "loss": 2.0392, "step": 2945 }, { "epoch": 2.65, "learning_rate": 0.0002, "loss": 1.905, "step": 2950 }, { "epoch": 2.66, "learning_rate": 0.0002, "loss": 1.9441, "step": 2955 }, { "epoch": 2.66, "learning_rate": 0.0002, "loss": 1.9979, "step": 2960 }, { "epoch": 2.67, "learning_rate": 0.0002, "loss": 2.0091, "step": 2965 }, { "epoch": 2.67, "learning_rate": 0.0002, "loss": 1.9602, "step": 2970 }, { "epoch": 2.67, "learning_rate": 0.0002, "loss": 1.9426, "step": 2975 }, { "epoch": 2.68, "learning_rate": 0.0002, "loss": 2.0169, "step": 2980 }, { "epoch": 2.68, "learning_rate": 0.0002, "loss": 2.0368, "step": 2985 }, { "epoch": 2.69, "learning_rate": 0.0002, "loss": 1.8992, "step": 2990 }, { "epoch": 2.69, "learning_rate": 0.0002, "loss": 1.9961, "step": 2995 }, { "epoch": 2.7, "learning_rate": 0.0002, "loss": 2.1249, "step": 3000 }, { "epoch": 2.7, "learning_rate": 0.0002, "loss": 1.9761, "step": 3005 }, { "epoch": 2.71, "learning_rate": 0.0002, "loss": 1.9954, "step": 3010 }, { "epoch": 2.71, "learning_rate": 0.0002, "loss": 1.9454, "step": 3015 }, { "epoch": 2.71, "learning_rate": 0.0002, "loss": 2.0621, "step": 3020 }, { "epoch": 2.72, "learning_rate": 0.0002, "loss": 1.8487, "step": 3025 }, { "epoch": 2.72, "learning_rate": 0.0002, "loss": 2.0469, "step": 3030 }, { "epoch": 2.73, "learning_rate": 0.0002, "loss": 1.9774, "step": 3035 }, { "epoch": 2.73, "learning_rate": 0.0002, "loss": 2.0672, "step": 3040 }, { "epoch": 2.74, "learning_rate": 0.0002, "loss": 1.9935, "step": 3045 }, { "epoch": 2.74, "learning_rate": 0.0002, "loss": 1.9712, "step": 3050 }, { "epoch": 2.75, "learning_rate": 0.0002, "loss": 1.9269, "step": 3055 }, { "epoch": 2.75, "learning_rate": 0.0002, "loss": 1.9989, "step": 3060 }, { "epoch": 2.76, "learning_rate": 0.0002, "loss": 1.9844, "step": 3065 }, { "epoch": 2.76, "learning_rate": 0.0002, "loss": 2.0057, "step": 3070 }, { "epoch": 2.76, "learning_rate": 0.0002, "loss": 1.8694, "step": 3075 }, { "epoch": 2.77, "learning_rate": 0.0002, "loss": 2.0094, "step": 3080 }, { "epoch": 2.77, "learning_rate": 0.0002, "loss": 1.9451, "step": 3085 }, { "epoch": 2.78, "learning_rate": 0.0002, "loss": 2.0165, "step": 3090 }, { "epoch": 2.78, "learning_rate": 0.0002, "loss": 1.9604, "step": 3095 }, { "epoch": 2.79, "learning_rate": 0.0002, "loss": 1.9604, "step": 3100 }, { "epoch": 2.79, "learning_rate": 0.0002, "loss": 1.8861, "step": 3105 }, { "epoch": 2.8, "learning_rate": 0.0002, "loss": 1.9491, "step": 3110 }, { "epoch": 2.8, "learning_rate": 0.0002, "loss": 1.9272, "step": 3115 }, { "epoch": 2.8, "learning_rate": 0.0002, "loss": 2.0349, "step": 3120 }, { "epoch": 2.81, "learning_rate": 0.0002, "loss": 1.9834, "step": 3125 }, { "epoch": 2.81, "learning_rate": 0.0002, "loss": 1.8975, "step": 3130 }, { "epoch": 2.82, "learning_rate": 0.0002, "loss": 1.8226, "step": 3135 }, { "epoch": 2.82, "learning_rate": 0.0002, "loss": 2.0628, "step": 3140 }, { "epoch": 2.83, "learning_rate": 0.0002, "loss": 1.8673, "step": 3145 }, { "epoch": 2.83, "learning_rate": 0.0002, "loss": 1.8963, "step": 3150 }, { "epoch": 2.84, "learning_rate": 0.0002, "loss": 1.9782, "step": 3155 }, { "epoch": 2.84, "learning_rate": 0.0002, "loss": 1.9048, "step": 3160 }, { "epoch": 2.84, "learning_rate": 0.0002, "loss": 2.0262, "step": 3165 }, { "epoch": 2.85, "learning_rate": 0.0002, "loss": 2.0755, "step": 3170 }, { "epoch": 2.85, "learning_rate": 0.0002, "loss": 2.0465, "step": 3175 }, { "epoch": 2.86, "learning_rate": 0.0002, "loss": 1.906, "step": 3180 }, { "epoch": 2.86, "learning_rate": 0.0002, "loss": 1.9611, "step": 3185 }, { "epoch": 2.87, "learning_rate": 0.0002, "loss": 1.9635, "step": 3190 }, { "epoch": 2.87, "learning_rate": 0.0002, "loss": 2.0385, "step": 3195 }, { "epoch": 2.88, "learning_rate": 0.0002, "loss": 2.0048, "step": 3200 }, { "epoch": 2.88, "learning_rate": 0.0002, "loss": 1.9428, "step": 3205 }, { "epoch": 2.89, "learning_rate": 0.0002, "loss": 1.9685, "step": 3210 }, { "epoch": 2.89, "learning_rate": 0.0002, "loss": 2.0215, "step": 3215 }, { "epoch": 2.89, "learning_rate": 0.0002, "loss": 2.0445, "step": 3220 }, { "epoch": 2.9, "learning_rate": 0.0002, "loss": 1.9155, "step": 3225 }, { "epoch": 2.9, "learning_rate": 0.0002, "loss": 1.9542, "step": 3230 }, { "epoch": 2.91, "learning_rate": 0.0002, "loss": 2.0736, "step": 3235 }, { "epoch": 2.91, "learning_rate": 0.0002, "loss": 1.8556, "step": 3240 }, { "epoch": 2.92, "learning_rate": 0.0002, "loss": 1.9885, "step": 3245 }, { "epoch": 2.92, "learning_rate": 0.0002, "loss": 2.0219, "step": 3250 }, { "epoch": 2.93, "learning_rate": 0.0002, "loss": 1.9969, "step": 3255 }, { "epoch": 2.93, "learning_rate": 0.0002, "loss": 1.9887, "step": 3260 }, { "epoch": 2.93, "learning_rate": 0.0002, "loss": 1.9237, "step": 3265 }, { "epoch": 2.94, "learning_rate": 0.0002, "loss": 2.0694, "step": 3270 }, { "epoch": 2.94, "learning_rate": 0.0002, "loss": 1.9643, "step": 3275 }, { "epoch": 2.95, "learning_rate": 0.0002, "loss": 2.0543, "step": 3280 }, { "epoch": 2.95, "learning_rate": 0.0002, "loss": 2.0497, "step": 3285 }, { "epoch": 2.96, "learning_rate": 0.0002, "loss": 1.9816, "step": 3290 }, { "epoch": 2.96, "learning_rate": 0.0002, "loss": 2.0116, "step": 3295 }, { "epoch": 2.97, "learning_rate": 0.0002, "loss": 1.8615, "step": 3300 }, { "epoch": 2.97, "learning_rate": 0.0002, "loss": 2.0354, "step": 3305 }, { "epoch": 2.98, "learning_rate": 0.0002, "loss": 2.0116, "step": 3310 }, { "epoch": 2.98, "learning_rate": 0.0002, "loss": 1.9864, "step": 3315 }, { "epoch": 2.98, "learning_rate": 0.0002, "loss": 1.8841, "step": 3320 }, { "epoch": 2.99, "learning_rate": 0.0002, "loss": 2.0151, "step": 3325 }, { "epoch": 2.99, "learning_rate": 0.0002, "loss": 2.0346, "step": 3330 }, { "epoch": 3.0, "learning_rate": 0.0002, "loss": 1.9278, "step": 3335 }, { "epoch": 3.0, "step": 3336, "total_flos": 9.82091491287552e+17, "train_loss": 1.5420540891033854, "train_runtime": 40504.6107, "train_samples_per_second": 0.33, "train_steps_per_second": 0.082 } ], "max_steps": 3336, "num_train_epochs": 3, "total_flos": 9.82091491287552e+17, "trial_name": null, "trial_params": null }