{ "best_metric": null, "best_model_checkpoint": null, "epoch": 0.9996554496382222, "eval_steps": 500, "global_step": 1088, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 1.8348623853211011e-06, "loss": 1.166, "step": 1 }, { "epoch": 0.0, "learning_rate": 9.174311926605506e-06, "loss": 1.1533, "step": 5 }, { "epoch": 0.01, "learning_rate": 1.834862385321101e-05, "loss": 1.1332, "step": 10 }, { "epoch": 0.01, "learning_rate": 2.7522935779816515e-05, "loss": 1.1124, "step": 15 }, { "epoch": 0.02, "learning_rate": 3.669724770642202e-05, "loss": 1.0896, "step": 20 }, { "epoch": 0.02, "learning_rate": 4.587155963302753e-05, "loss": 1.0765, "step": 25 }, { "epoch": 0.03, "learning_rate": 5.504587155963303e-05, "loss": 1.0314, "step": 30 }, { "epoch": 0.03, "learning_rate": 6.422018348623854e-05, "loss": 1.0489, "step": 35 }, { "epoch": 0.04, "learning_rate": 7.339449541284404e-05, "loss": 1.0039, "step": 40 }, { "epoch": 0.04, "learning_rate": 8.256880733944955e-05, "loss": 0.9825, "step": 45 }, { "epoch": 0.05, "learning_rate": 9.174311926605506e-05, "loss": 0.9929, "step": 50 }, { "epoch": 0.05, "learning_rate": 0.00010091743119266055, "loss": 0.9923, "step": 55 }, { "epoch": 0.06, "learning_rate": 0.00011009174311926606, "loss": 1.0024, "step": 60 }, { "epoch": 0.06, "learning_rate": 0.00011926605504587157, "loss": 1.0202, "step": 65 }, { "epoch": 0.06, "learning_rate": 0.00012844036697247707, "loss": 1.0064, "step": 70 }, { "epoch": 0.07, "learning_rate": 0.00013761467889908258, "loss": 0.9896, "step": 75 }, { "epoch": 0.07, "learning_rate": 0.0001467889908256881, "loss": 0.9902, "step": 80 }, { "epoch": 0.08, "learning_rate": 0.0001559633027522936, "loss": 0.9856, "step": 85 }, { "epoch": 0.08, "learning_rate": 0.0001651376146788991, "loss": 0.9789, "step": 90 }, { "epoch": 0.09, "learning_rate": 0.00017431192660550458, "loss": 0.9845, "step": 95 }, { "epoch": 0.09, "learning_rate": 0.00018348623853211012, "loss": 0.9741, "step": 100 }, { "epoch": 0.1, "learning_rate": 0.0001926605504587156, "loss": 0.9714, "step": 105 }, { "epoch": 0.1, "learning_rate": 0.00019999948512240548, "loss": 1.0182, "step": 110 }, { "epoch": 0.11, "learning_rate": 0.00019998146496329837, "loss": 0.9622, "step": 115 }, { "epoch": 0.11, "learning_rate": 0.00019993770622619782, "loss": 0.9725, "step": 120 }, { "epoch": 0.11, "learning_rate": 0.00019986822017606848, "loss": 0.9853, "step": 125 }, { "epoch": 0.12, "learning_rate": 0.00019977302470094708, "loss": 0.981, "step": 130 }, { "epoch": 0.12, "learning_rate": 0.00019965214430733754, "loss": 0.9773, "step": 135 }, { "epoch": 0.13, "learning_rate": 0.00019950561011390213, "loss": 0.9749, "step": 140 }, { "epoch": 0.13, "learning_rate": 0.00019933345984345037, "loss": 0.988, "step": 145 }, { "epoch": 0.14, "learning_rate": 0.00019913573781322818, "loss": 0.9992, "step": 150 }, { "epoch": 0.14, "learning_rate": 0.00019891249492350887, "loss": 0.9706, "step": 155 }, { "epoch": 0.15, "learning_rate": 0.00019866378864448985, "loss": 0.9663, "step": 160 }, { "epoch": 0.15, "learning_rate": 0.00019838968300149782, "loss": 0.974, "step": 165 }, { "epoch": 0.16, "learning_rate": 0.00019809024855850662, "loss": 0.9755, "step": 170 }, { "epoch": 0.16, "learning_rate": 0.00019776556239997146, "loss": 0.9621, "step": 175 }, { "epoch": 0.17, "learning_rate": 0.000197415708110985, "loss": 0.9749, "step": 180 }, { "epoch": 0.17, "learning_rate": 0.00019704077575575978, "loss": 0.958, "step": 185 }, { "epoch": 0.17, "learning_rate": 0.00019664086185444246, "loss": 0.9863, "step": 190 }, { "epoch": 0.18, "learning_rate": 0.0001962160693582665, "loss": 1.0012, "step": 195 }, { "epoch": 0.18, "learning_rate": 0.00019576650762304903, "loss": 0.9802, "step": 200 }, { "epoch": 0.19, "learning_rate": 0.00019529229238103883, "loss": 0.9748, "step": 205 }, { "epoch": 0.19, "learning_rate": 0.00019479354571112323, "loss": 1.012, "step": 210 }, { "epoch": 0.2, "learning_rate": 0.00019427039600740072, "loss": 0.9702, "step": 215 }, { "epoch": 0.2, "learning_rate": 0.00019372297794612817, "loss": 0.9607, "step": 220 }, { "epoch": 0.21, "learning_rate": 0.00019315143245105047, "loss": 0.9543, "step": 225 }, { "epoch": 0.21, "learning_rate": 0.00019255590665712214, "loss": 0.9941, "step": 230 }, { "epoch": 0.22, "learning_rate": 0.00019193655387262984, "loss": 0.9915, "step": 235 }, { "epoch": 0.22, "learning_rate": 0.00019129353353972581, "loss": 0.98, "step": 240 }, { "epoch": 0.23, "learning_rate": 0.00019062701119338185, "loss": 0.9759, "step": 245 }, { "epoch": 0.23, "learning_rate": 0.0001899371584187753, "loss": 0.9784, "step": 250 }, { "epoch": 0.23, "learning_rate": 0.00018922415280711716, "loss": 0.9737, "step": 255 }, { "epoch": 0.24, "learning_rate": 0.00018848817790993432, "loss": 0.9737, "step": 260 }, { "epoch": 0.24, "learning_rate": 0.00018772942319181696, "loss": 0.9674, "step": 265 }, { "epoch": 0.25, "learning_rate": 0.0001869480839816443, "loss": 0.9572, "step": 270 }, { "epoch": 0.25, "learning_rate": 0.0001861443614223002, "loss": 0.9758, "step": 275 }, { "epoch": 0.26, "learning_rate": 0.00018531846241889245, "loss": 0.9611, "step": 280 }, { "epoch": 0.26, "learning_rate": 0.0001844705995854882, "loss": 0.9593, "step": 285 }, { "epoch": 0.27, "learning_rate": 0.0001836009911903803, "loss": 0.9847, "step": 290 }, { "epoch": 0.27, "learning_rate": 0.00018270986109989744, "loss": 0.9755, "step": 295 }, { "epoch": 0.28, "learning_rate": 0.00018179743872077359, "loss": 0.9491, "step": 300 }, { "epoch": 0.28, "learning_rate": 0.000180863958941091, "loss": 0.9872, "step": 305 }, { "epoch": 0.28, "learning_rate": 0.00017990966206981224, "loss": 0.9491, "step": 310 }, { "epoch": 0.29, "learning_rate": 0.0001789347937749164, "loss": 0.9579, "step": 315 }, { "epoch": 0.29, "learning_rate": 0.00017793960502015613, "loss": 0.9702, "step": 320 }, { "epoch": 0.3, "learning_rate": 0.0001769243520004511, "loss": 0.9749, "step": 325 }, { "epoch": 0.3, "learning_rate": 0.0001758892960759348, "loss": 0.9624, "step": 330 }, { "epoch": 0.31, "learning_rate": 0.00017483470370467178, "loss": 0.9547, "step": 335 }, { "epoch": 0.31, "learning_rate": 0.00017376084637406222, "loss": 0.9685, "step": 340 }, { "epoch": 0.32, "learning_rate": 0.00017266800053095232, "loss": 0.9455, "step": 345 }, { "epoch": 0.32, "learning_rate": 0.0001715564475104673, "loss": 0.9745, "step": 350 }, { "epoch": 0.33, "learning_rate": 0.00017042647346358645, "loss": 0.9906, "step": 355 }, { "epoch": 0.33, "learning_rate": 0.00016927836928347826, "loss": 0.9749, "step": 360 }, { "epoch": 0.34, "learning_rate": 0.00016811243053061487, "loss": 0.9674, "step": 365 }, { "epoch": 0.34, "learning_rate": 0.00016692895735668476, "loss": 0.9589, "step": 370 }, { "epoch": 0.34, "learning_rate": 0.00016572825442732366, "loss": 0.9703, "step": 375 }, { "epoch": 0.35, "learning_rate": 0.0001645106308436836, "loss": 0.9472, "step": 380 }, { "epoch": 0.35, "learning_rate": 0.00016327640006285967, "loss": 0.9647, "step": 385 }, { "epoch": 0.36, "learning_rate": 0.00016202587981719584, "loss": 0.9631, "step": 390 }, { "epoch": 0.36, "learning_rate": 0.0001607593920324899, "loss": 0.9784, "step": 395 }, { "epoch": 0.37, "learning_rate": 0.00015947726274511908, "loss": 0.9662, "step": 400 }, { "epoch": 0.37, "learning_rate": 0.0001581798220181073, "loss": 0.9433, "step": 405 }, { "epoch": 0.38, "learning_rate": 0.00015686740385615586, "loss": 0.9731, "step": 410 }, { "epoch": 0.38, "learning_rate": 0.00015554034611965954, "loss": 0.9593, "step": 415 }, { "epoch": 0.39, "learning_rate": 0.00015419899043772994, "loss": 0.9379, "step": 420 }, { "epoch": 0.39, "learning_rate": 0.00015284368212024877, "loss": 0.9453, "step": 425 }, { "epoch": 0.4, "learning_rate": 0.00015147477006897337, "loss": 0.9581, "step": 430 }, { "epoch": 0.4, "learning_rate": 0.000150092606687718, "loss": 0.9595, "step": 435 }, { "epoch": 0.4, "learning_rate": 0.0001486975477916329, "loss": 0.9726, "step": 440 }, { "epoch": 0.41, "learning_rate": 0.00014728995251560596, "loss": 0.9479, "step": 445 }, { "epoch": 0.41, "learning_rate": 0.00014587018322180905, "loss": 0.9698, "step": 450 }, { "epoch": 0.42, "learning_rate": 0.00014443860540641406, "loss": 0.9639, "step": 455 }, { "epoch": 0.42, "learning_rate": 0.00014299558760550184, "loss": 0.9803, "step": 460 }, { "epoch": 0.43, "learning_rate": 0.00014154150130018866, "loss": 0.9708, "step": 465 }, { "epoch": 0.43, "learning_rate": 0.0001400767208209946, "loss": 0.9624, "step": 470 }, { "epoch": 0.44, "learning_rate": 0.0001386016232514784, "loss": 0.9683, "step": 475 }, { "epoch": 0.44, "learning_rate": 0.00013711658833116323, "loss": 0.9472, "step": 480 }, { "epoch": 0.45, "learning_rate": 0.00013562199835777934, "loss": 0.9613, "step": 485 }, { "epoch": 0.45, "learning_rate": 0.00013411823808884765, "loss": 0.9535, "step": 490 }, { "epoch": 0.45, "learning_rate": 0.00013260569464263036, "loss": 0.9339, "step": 495 }, { "epoch": 0.46, "learning_rate": 0.00013108475739847362, "loss": 0.9634, "step": 500 }, { "epoch": 0.46, "learning_rate": 0.00012955581789656843, "loss": 0.9665, "step": 505 }, { "epoch": 0.47, "learning_rate": 0.00012801926973715483, "loss": 0.9415, "step": 510 }, { "epoch": 0.47, "learning_rate": 0.0001264755084791963, "loss": 0.9423, "step": 515 }, { "epoch": 0.48, "learning_rate": 0.00012492493153854937, "loss": 0.9653, "step": 520 }, { "epoch": 0.48, "learning_rate": 0.0001233679380856557, "loss": 0.9544, "step": 525 }, { "epoch": 0.49, "learning_rate": 0.00012180492894278206, "loss": 0.9639, "step": 530 }, { "epoch": 0.49, "learning_rate": 0.00012023630648083528, "loss": 0.9618, "step": 535 }, { "epoch": 0.5, "learning_rate": 0.00011866247451577864, "loss": 0.9411, "step": 540 }, { "epoch": 0.5, "learning_rate": 0.00011708383820467595, "loss": 0.9592, "step": 545 }, { "epoch": 0.51, "learning_rate": 0.00011550080394139062, "loss": 0.962, "step": 550 }, { "epoch": 0.51, "learning_rate": 0.00011391377925196626, "loss": 0.9857, "step": 555 }, { "epoch": 0.51, "learning_rate": 0.00011232317268971585, "loss": 0.9723, "step": 560 }, { "epoch": 0.52, "learning_rate": 0.00011072939373004647, "loss": 0.9561, "step": 565 }, { "epoch": 0.52, "learning_rate": 0.00010913285266504636, "loss": 0.9531, "step": 570 }, { "epoch": 0.53, "learning_rate": 0.0001075339604978624, "loss": 0.9512, "step": 575 }, { "epoch": 0.53, "learning_rate": 0.0001059331288368938, "loss": 0.959, "step": 580 }, { "epoch": 0.54, "learning_rate": 0.0001043307697898305, "loss": 0.9423, "step": 585 }, { "epoch": 0.54, "learning_rate": 0.00010272729585756275, "loss": 0.9656, "step": 590 }, { "epoch": 0.55, "learning_rate": 0.00010112311982798959, "loss": 0.9701, "step": 595 }, { "epoch": 0.55, "learning_rate": 9.951865466975344e-05, "loss": 0.9553, "step": 600 }, { "epoch": 0.56, "learning_rate": 9.791431342592811e-05, "loss": 0.9353, "step": 605 }, { "epoch": 0.56, "learning_rate": 9.631050910768773e-05, "loss": 0.9363, "step": 610 }, { "epoch": 0.57, "learning_rate": 9.470765458798368e-05, "loss": 0.9463, "step": 615 }, { "epoch": 0.57, "learning_rate": 9.310616249525759e-05, "loss": 0.9629, "step": 620 }, { "epoch": 0.57, "learning_rate": 9.15064451072165e-05, "loss": 0.9485, "step": 625 }, { "epoch": 0.58, "learning_rate": 8.990891424469927e-05, "loss": 0.9585, "step": 630 }, { "epoch": 0.58, "learning_rate": 8.831398116565964e-05, "loss": 0.9848, "step": 635 }, { "epoch": 0.59, "learning_rate": 8.672205645929503e-05, "loss": 0.9371, "step": 640 }, { "epoch": 0.59, "learning_rate": 8.513354994034681e-05, "loss": 0.9354, "step": 645 }, { "epoch": 0.6, "learning_rate": 8.35488705436006e-05, "loss": 0.9606, "step": 650 }, { "epoch": 0.6, "learning_rate": 8.196842621861242e-05, "loss": 0.9672, "step": 655 }, { "epoch": 0.61, "learning_rate": 8.039262382468905e-05, "loss": 0.9562, "step": 660 }, { "epoch": 0.61, "learning_rate": 7.882186902614865e-05, "loss": 0.9731, "step": 665 }, { "epoch": 0.62, "learning_rate": 7.725656618788937e-05, "loss": 0.9606, "step": 670 }, { "epoch": 0.62, "learning_rate": 7.569711827129208e-05, "loss": 0.9426, "step": 675 }, { "epoch": 0.62, "learning_rate": 7.414392673048478e-05, "loss": 0.9451, "step": 680 }, { "epoch": 0.63, "learning_rate": 7.259739140899462e-05, "loss": 0.95, "step": 685 }, { "epoch": 0.63, "learning_rate": 7.105791043681519e-05, "loss": 0.9636, "step": 690 }, { "epoch": 0.64, "learning_rate": 6.952588012791405e-05, "loss": 0.9472, "step": 695 }, { "epoch": 0.64, "learning_rate": 6.80016948782086e-05, "loss": 0.9516, "step": 700 }, { "epoch": 0.65, "learning_rate": 6.648574706403522e-05, "loss": 0.9558, "step": 705 }, { "epoch": 0.65, "learning_rate": 6.497842694113842e-05, "loss": 0.9741, "step": 710 }, { "epoch": 0.66, "learning_rate": 6.348012254420606e-05, "loss": 0.9626, "step": 715 }, { "epoch": 0.66, "learning_rate": 6.199121958697604e-05, "loss": 0.9499, "step": 720 }, { "epoch": 0.67, "learning_rate": 6.051210136294089e-05, "loss": 0.9557, "step": 725 }, { "epoch": 0.67, "learning_rate": 5.904314864667497e-05, "loss": 0.9562, "step": 730 }, { "epoch": 0.68, "learning_rate": 5.758473959581061e-05, "loss": 0.933, "step": 735 }, { "epoch": 0.68, "learning_rate": 5.613724965368723e-05, "loss": 0.9766, "step": 740 }, { "epoch": 0.68, "learning_rate": 5.4701051452700245e-05, "loss": 0.9381, "step": 745 }, { "epoch": 0.69, "learning_rate": 5.327651471837242e-05, "loss": 0.9397, "step": 750 }, { "epoch": 0.69, "learning_rate": 5.1864006174174504e-05, "loss": 0.9309, "step": 755 }, { "epoch": 0.7, "learning_rate": 5.046388944711824e-05, "loss": 0.9578, "step": 760 }, { "epoch": 0.7, "learning_rate": 4.9076524974146507e-05, "loss": 0.9472, "step": 765 }, { "epoch": 0.71, "learning_rate": 4.7702269909344907e-05, "loss": 0.9419, "step": 770 }, { "epoch": 0.71, "learning_rate": 4.6341478031998265e-05, "loss": 0.9791, "step": 775 }, { "epoch": 0.72, "learning_rate": 4.4994499655515865e-05, "loss": 0.9417, "step": 780 }, { "epoch": 0.72, "learning_rate": 4.3661681537249455e-05, "loss": 0.9433, "step": 785 }, { "epoch": 0.73, "learning_rate": 4.234336678922569e-05, "loss": 0.9308, "step": 790 }, { "epoch": 0.73, "learning_rate": 4.103989478981827e-05, "loss": 0.9556, "step": 795 }, { "epoch": 0.74, "learning_rate": 3.975160109637992e-05, "loss": 0.9535, "step": 800 }, { "epoch": 0.74, "learning_rate": 3.847881735885918e-05, "loss": 0.9496, "step": 805 }, { "epoch": 0.74, "learning_rate": 3.722187123442249e-05, "loss": 0.9417, "step": 810 }, { "epoch": 0.75, "learning_rate": 3.598108630310399e-05, "loss": 0.9336, "step": 815 }, { "epoch": 0.75, "learning_rate": 3.475678198450555e-05, "loss": 0.9492, "step": 820 }, { "epoch": 0.76, "learning_rate": 3.354927345556723e-05, "loss": 0.963, "step": 825 }, { "epoch": 0.76, "learning_rate": 3.235887156943029e-05, "loss": 0.9489, "step": 830 }, { "epoch": 0.77, "learning_rate": 3.118588277541312e-05, "loss": 0.9551, "step": 835 }, { "epoch": 0.77, "learning_rate": 3.003060904012096e-05, "loss": 0.9497, "step": 840 }, { "epoch": 0.78, "learning_rate": 2.8893347769709476e-05, "loss": 0.927, "step": 845 }, { "epoch": 0.78, "learning_rate": 2.7774391733322713e-05, "loss": 0.964, "step": 850 }, { "epoch": 0.79, "learning_rate": 2.6674028987724163e-05, "loss": 0.9524, "step": 855 }, { "epoch": 0.79, "learning_rate": 2.559254280314156e-05, "loss": 0.9519, "step": 860 }, { "epoch": 0.79, "learning_rate": 2.4530211590343578e-05, "loss": 0.96, "step": 865 }, { "epoch": 0.8, "learning_rate": 2.3487308828967493e-05, "loss": 0.9603, "step": 870 }, { "epoch": 0.8, "learning_rate": 2.2464102997116475e-05, "loss": 0.9513, "step": 875 }, { "epoch": 0.81, "learning_rate": 2.1460857502244248e-05, "loss": 0.9621, "step": 880 }, { "epoch": 0.81, "learning_rate": 2.047783061334523e-05, "loss": 0.9459, "step": 885 }, { "epoch": 0.82, "learning_rate": 1.9515275394467446e-05, "loss": 0.9421, "step": 890 }, { "epoch": 0.82, "learning_rate": 1.8573439639565282e-05, "loss": 0.9757, "step": 895 }, { "epoch": 0.83, "learning_rate": 1.765256580870924e-05, "loss": 0.9392, "step": 900 }, { "epoch": 0.83, "learning_rate": 1.6752890965668266e-05, "loss": 0.9413, "step": 905 }, { "epoch": 0.84, "learning_rate": 1.587464671688187e-05, "loss": 0.9638, "step": 910 }, { "epoch": 0.84, "learning_rate": 1.501805915183685e-05, "loss": 0.9464, "step": 915 }, { "epoch": 0.85, "learning_rate": 1.4183348784864037e-05, "loss": 0.9909, "step": 920 }, { "epoch": 0.85, "learning_rate": 1.3370730498370831e-05, "loss": 0.9639, "step": 925 }, { "epoch": 0.85, "learning_rate": 1.258041348752308e-05, "loss": 0.9478, "step": 930 }, { "epoch": 0.86, "learning_rate": 1.1812601206391304e-05, "loss": 0.9451, "step": 935 }, { "epoch": 0.86, "learning_rate": 1.1067491315574797e-05, "loss": 0.9606, "step": 940 }, { "epoch": 0.87, "learning_rate": 1.0345275631317163e-05, "loss": 0.95, "step": 945 }, { "epoch": 0.87, "learning_rate": 9.64614007612633e-06, "loss": 0.917, "step": 950 }, { "epoch": 0.88, "learning_rate": 8.970264630912061e-06, "loss": 0.9498, "step": 955 }, { "epoch": 0.88, "learning_rate": 8.317823288652526e-06, "loss": 0.9526, "step": 960 }, { "epoch": 0.89, "learning_rate": 7.688984009603062e-06, "loss": 0.9482, "step": 965 }, { "epoch": 0.89, "learning_rate": 7.083908678057194e-06, "loss": 0.9614, "step": 970 }, { "epoch": 0.9, "learning_rate": 6.502753060672495e-06, "loss": 0.948, "step": 975 }, { "epoch": 0.9, "learning_rate": 5.945666766370861e-06, "loss": 0.9497, "step": 980 }, { "epoch": 0.91, "learning_rate": 5.412793207824252e-06, "loss": 0.958, "step": 985 }, { "epoch": 0.91, "learning_rate": 4.904269564535391e-06, "loss": 0.9649, "step": 990 }, { "epoch": 0.91, "learning_rate": 4.42022674752326e-06, "loss": 0.9505, "step": 995 }, { "epoch": 0.92, "learning_rate": 3.960789365622075e-06, "loss": 0.9659, "step": 1000 }, { "epoch": 0.92, "learning_rate": 3.526075693402986e-06, "loss": 0.9486, "step": 1005 }, { "epoch": 0.93, "learning_rate": 3.116197640726104e-06, "loss": 0.9495, "step": 1010 }, { "epoch": 0.93, "learning_rate": 2.7312607239311505e-06, "loss": 0.9771, "step": 1015 }, { "epoch": 0.94, "learning_rate": 2.3713640386741396e-06, "loss": 0.938, "step": 1020 }, { "epoch": 0.94, "learning_rate": 2.0366002344166745e-06, "loss": 0.953, "step": 1025 }, { "epoch": 0.95, "learning_rate": 1.7270554905750137e-06, "loss": 0.976, "step": 1030 }, { "epoch": 0.95, "learning_rate": 1.4428094943345294e-06, "loss": 0.9734, "step": 1035 }, { "epoch": 0.96, "learning_rate": 1.1839354201355513e-06, "loss": 0.9538, "step": 1040 }, { "epoch": 0.96, "learning_rate": 9.50499910835867e-07, "loss": 0.998, "step": 1045 }, { "epoch": 0.96, "learning_rate": 7.425630605545575e-07, "loss": 0.9474, "step": 1050 }, { "epoch": 0.97, "learning_rate": 5.60178399201805e-07, "loss": 0.957, "step": 1055 }, { "epoch": 0.97, "learning_rate": 4.0339287869847197e-07, "loss": 0.9426, "step": 1060 }, { "epoch": 0.98, "learning_rate": 2.7224686088910265e-07, "loss": 0.9386, "step": 1065 }, { "epoch": 0.98, "learning_rate": 1.6677410715149054e-07, "loss": 0.954, "step": 1070 }, { "epoch": 0.99, "learning_rate": 8.700176970527497e-08, "loss": 0.9449, "step": 1075 }, { "epoch": 0.99, "learning_rate": 3.29503846221213e-08, "loss": 0.9593, "step": 1080 }, { "epoch": 1.0, "learning_rate": 4.633866539005549e-09, "loss": 0.9504, "step": 1085 }, { "epoch": 1.0, "eval_loss": 0.9550448656082153, "eval_runtime": 1441.354, "eval_samples_per_second": 5.335, "eval_steps_per_second": 0.667, "step": 1088 }, { "epoch": 1.0, "step": 1088, "total_flos": 6.120039388450652e+18, "train_loss": 0.9663942014688954, "train_runtime": 46060.5946, "train_samples_per_second": 1.512, "train_steps_per_second": 0.024 } ], "logging_steps": 5, "max_steps": 1088, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 100, "total_flos": 6.120039388450652e+18, "train_batch_size": 8, "trial_name": null, "trial_params": null }