{ "best_metric": null, "best_model_checkpoint": null, "epoch": 2.8846153846153846, "global_step": 1200, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, "learning_rate": 0.0003, "loss": 2.0952, "step": 5 }, { "epoch": 0.02, "learning_rate": 0.000298793242156074, "loss": 2.2593, "step": 10 }, { "epoch": 0.04, "learning_rate": 0.000297586484312148, "loss": 2.1623, "step": 15 }, { "epoch": 0.05, "learning_rate": 0.000296379726468222, "loss": 1.9038, "step": 20 }, { "epoch": 0.06, "learning_rate": 0.000295172968624296, "loss": 1.8576, "step": 25 }, { "epoch": 0.07, "learning_rate": 0.00029396621078037004, "loss": 1.8397, "step": 30 }, { "epoch": 0.08, "learning_rate": 0.00029275945293644407, "loss": 1.8032, "step": 35 }, { "epoch": 0.1, "learning_rate": 0.00029155269509251804, "loss": 1.7281, "step": 40 }, { "epoch": 0.11, "learning_rate": 0.00029034593724859206, "loss": 1.7097, "step": 45 }, { "epoch": 0.12, "learning_rate": 0.00028913917940466614, "loss": 1.7421, "step": 50 }, { "epoch": 0.13, "learning_rate": 0.0002879324215607401, "loss": 1.6861, "step": 55 }, { "epoch": 0.14, "learning_rate": 0.00028672566371681414, "loss": 1.6848, "step": 60 }, { "epoch": 0.16, "learning_rate": 0.00028551890587288816, "loss": 1.5163, "step": 65 }, { "epoch": 0.17, "learning_rate": 0.0002843121480289622, "loss": 1.7266, "step": 70 }, { "epoch": 0.18, "learning_rate": 0.0002831053901850362, "loss": 1.5888, "step": 75 }, { "epoch": 0.19, "learning_rate": 0.0002818986323411102, "loss": 1.5463, "step": 80 }, { "epoch": 0.2, "learning_rate": 0.0002806918744971842, "loss": 1.4611, "step": 85 }, { "epoch": 0.22, "learning_rate": 0.00027948511665325823, "loss": 1.5554, "step": 90 }, { "epoch": 0.23, "learning_rate": 0.00027827835880933226, "loss": 1.5481, "step": 95 }, { "epoch": 0.24, "learning_rate": 0.0002770716009654062, "loss": 1.4464, "step": 100 }, { "epoch": 0.25, "eval_loss": 1.6602041721343994, "eval_runtime": 25.516, "eval_samples_per_second": 8.191, "eval_steps_per_second": 1.058, "step": 104 }, { "epoch": 0.25, "learning_rate": 0.00027586484312148025, "loss": 1.6648, "step": 105 }, { "epoch": 0.26, "learning_rate": 0.0002746580852775543, "loss": 1.6464, "step": 110 }, { "epoch": 0.28, "learning_rate": 0.0002734513274336283, "loss": 1.524, "step": 115 }, { "epoch": 0.29, "learning_rate": 0.0002722445695897023, "loss": 1.4791, "step": 120 }, { "epoch": 0.3, "learning_rate": 0.0002710378117457763, "loss": 1.5162, "step": 125 }, { "epoch": 0.31, "learning_rate": 0.0002698310539018503, "loss": 1.6636, "step": 130 }, { "epoch": 0.32, "learning_rate": 0.00026862429605792435, "loss": 1.7803, "step": 135 }, { "epoch": 0.34, "learning_rate": 0.00026741753821399837, "loss": 1.7384, "step": 140 }, { "epoch": 0.35, "learning_rate": 0.0002662107803700724, "loss": 1.5462, "step": 145 }, { "epoch": 0.36, "learning_rate": 0.0002650040225261464, "loss": 1.5802, "step": 150 }, { "epoch": 0.37, "learning_rate": 0.00026379726468222045, "loss": 1.4942, "step": 155 }, { "epoch": 0.38, "learning_rate": 0.0002625905068382944, "loss": 1.601, "step": 160 }, { "epoch": 0.4, "learning_rate": 0.00026138374899436844, "loss": 1.5822, "step": 165 }, { "epoch": 0.41, "learning_rate": 0.00026017699115044247, "loss": 1.5071, "step": 170 }, { "epoch": 0.42, "learning_rate": 0.0002589702333065165, "loss": 1.5926, "step": 175 }, { "epoch": 0.43, "learning_rate": 0.00025776347546259046, "loss": 1.4206, "step": 180 }, { "epoch": 0.44, "learning_rate": 0.0002565567176186645, "loss": 1.5317, "step": 185 }, { "epoch": 0.46, "learning_rate": 0.0002553499597747385, "loss": 1.4862, "step": 190 }, { "epoch": 0.47, "learning_rate": 0.00025414320193081253, "loss": 1.4387, "step": 195 }, { "epoch": 0.48, "learning_rate": 0.00025293644408688656, "loss": 1.5276, "step": 200 }, { "epoch": 0.49, "learning_rate": 0.00025172968624296053, "loss": 1.55, "step": 205 }, { "epoch": 0.5, "eval_loss": 1.6166218519210815, "eval_runtime": 13.3266, "eval_samples_per_second": 15.683, "eval_steps_per_second": 2.026, "step": 208 }, { "epoch": 0.5, "learning_rate": 0.00025052292839903455, "loss": 1.5525, "step": 210 }, { "epoch": 0.52, "learning_rate": 0.0002493161705551086, "loss": 1.5591, "step": 215 }, { "epoch": 0.53, "learning_rate": 0.0002481094127111826, "loss": 1.529, "step": 220 }, { "epoch": 0.54, "learning_rate": 0.0002469026548672566, "loss": 1.7152, "step": 225 }, { "epoch": 0.55, "learning_rate": 0.00024569589702333065, "loss": 1.7493, "step": 230 }, { "epoch": 0.56, "learning_rate": 0.0002444891391794047, "loss": 1.5288, "step": 235 }, { "epoch": 0.58, "learning_rate": 0.00024328238133547868, "loss": 1.5651, "step": 240 }, { "epoch": 0.59, "learning_rate": 0.00024207562349155267, "loss": 1.5144, "step": 245 }, { "epoch": 0.6, "learning_rate": 0.0002408688656476267, "loss": 1.5334, "step": 250 }, { "epoch": 0.61, "learning_rate": 0.0002396621078037007, "loss": 1.5988, "step": 255 }, { "epoch": 0.62, "learning_rate": 0.00023845534995977472, "loss": 1.6401, "step": 260 }, { "epoch": 0.64, "learning_rate": 0.00023724859211584875, "loss": 1.5929, "step": 265 }, { "epoch": 0.65, "learning_rate": 0.00023604183427192274, "loss": 1.3948, "step": 270 }, { "epoch": 0.66, "learning_rate": 0.00023483507642799677, "loss": 1.221, "step": 275 }, { "epoch": 0.67, "learning_rate": 0.00023362831858407077, "loss": 1.5604, "step": 280 }, { "epoch": 0.69, "learning_rate": 0.0002324215607401448, "loss": 1.505, "step": 285 }, { "epoch": 0.7, "learning_rate": 0.0002312148028962188, "loss": 1.5008, "step": 290 }, { "epoch": 0.71, "learning_rate": 0.0002300080450522928, "loss": 1.5176, "step": 295 }, { "epoch": 0.72, "learning_rate": 0.0002288012872083668, "loss": 1.4227, "step": 300 }, { "epoch": 0.73, "learning_rate": 0.00022759452936444084, "loss": 1.1778, "step": 305 }, { "epoch": 0.75, "learning_rate": 0.00022638777152051486, "loss": 1.5052, "step": 310 }, { "epoch": 0.75, "eval_loss": 1.5979019403457642, "eval_runtime": 13.342, "eval_samples_per_second": 15.665, "eval_steps_per_second": 2.024, "step": 312 }, { "epoch": 0.76, "learning_rate": 0.00022518101367658886, "loss": 1.5228, "step": 315 }, { "epoch": 0.77, "learning_rate": 0.0002239742558326629, "loss": 1.5385, "step": 320 }, { "epoch": 0.78, "learning_rate": 0.0002227674979887369, "loss": 1.5072, "step": 325 }, { "epoch": 0.79, "learning_rate": 0.00022156074014481093, "loss": 1.5032, "step": 330 }, { "epoch": 0.81, "learning_rate": 0.00022035398230088496, "loss": 1.5981, "step": 335 }, { "epoch": 0.82, "learning_rate": 0.00021914722445695895, "loss": 1.422, "step": 340 }, { "epoch": 0.83, "learning_rate": 0.00021794046661303298, "loss": 1.4948, "step": 345 }, { "epoch": 0.84, "learning_rate": 0.00021673370876910698, "loss": 1.4421, "step": 350 }, { "epoch": 0.85, "learning_rate": 0.000215526950925181, "loss": 1.6086, "step": 355 }, { "epoch": 0.87, "learning_rate": 0.000214320193081255, "loss": 1.3874, "step": 360 }, { "epoch": 0.88, "learning_rate": 0.00021311343523732902, "loss": 1.2493, "step": 365 }, { "epoch": 0.89, "learning_rate": 0.00021190667739340302, "loss": 1.5565, "step": 370 }, { "epoch": 0.9, "learning_rate": 0.00021069991954947705, "loss": 1.4739, "step": 375 }, { "epoch": 0.91, "learning_rate": 0.00020949316170555107, "loss": 1.5288, "step": 380 }, { "epoch": 0.93, "learning_rate": 0.00020828640386162507, "loss": 1.4837, "step": 385 }, { "epoch": 0.94, "learning_rate": 0.0002070796460176991, "loss": 1.5009, "step": 390 }, { "epoch": 0.95, "learning_rate": 0.0002058728881737731, "loss": 1.3469, "step": 395 }, { "epoch": 0.96, "learning_rate": 0.00020466613032984712, "loss": 1.3949, "step": 400 }, { "epoch": 0.97, "learning_rate": 0.00020345937248592117, "loss": 1.3688, "step": 405 }, { "epoch": 0.99, "learning_rate": 0.00020225261464199517, "loss": 1.6629, "step": 410 }, { "epoch": 1.0, "learning_rate": 0.0002010458567980692, "loss": 1.5395, "step": 415 }, { "epoch": 1.0, "eval_loss": 1.589026927947998, "eval_runtime": 13.34, "eval_samples_per_second": 15.667, "eval_steps_per_second": 2.024, "step": 416 }, { "epoch": 1.01, "learning_rate": 0.0001998390989541432, "loss": 1.5794, "step": 420 }, { "epoch": 1.02, "learning_rate": 0.0001986323411102172, "loss": 1.4746, "step": 425 }, { "epoch": 1.03, "learning_rate": 0.0001974255832662912, "loss": 1.3205, "step": 430 }, { "epoch": 1.05, "learning_rate": 0.00019621882542236523, "loss": 1.491, "step": 435 }, { "epoch": 1.06, "learning_rate": 0.00019501206757843926, "loss": 1.4803, "step": 440 }, { "epoch": 1.07, "learning_rate": 0.00019380530973451326, "loss": 1.3436, "step": 445 }, { "epoch": 1.08, "learning_rate": 0.00019259855189058728, "loss": 1.3893, "step": 450 }, { "epoch": 1.09, "learning_rate": 0.00019139179404666128, "loss": 1.0474, "step": 455 }, { "epoch": 1.11, "learning_rate": 0.0001901850362027353, "loss": 1.3388, "step": 460 }, { "epoch": 1.12, "learning_rate": 0.0001889782783588093, "loss": 1.4201, "step": 465 }, { "epoch": 1.13, "learning_rate": 0.00018777152051488333, "loss": 1.4805, "step": 470 }, { "epoch": 1.14, "learning_rate": 0.00018656476267095732, "loss": 1.2253, "step": 475 }, { "epoch": 1.15, "learning_rate": 0.00018535800482703135, "loss": 1.5064, "step": 480 }, { "epoch": 1.17, "learning_rate": 0.00018415124698310537, "loss": 1.3565, "step": 485 }, { "epoch": 1.18, "learning_rate": 0.00018294448913917937, "loss": 1.3976, "step": 490 }, { "epoch": 1.19, "learning_rate": 0.00018173773129525342, "loss": 1.5882, "step": 495 }, { "epoch": 1.2, "learning_rate": 0.00018053097345132742, "loss": 1.4698, "step": 500 }, { "epoch": 1.21, "learning_rate": 0.00017932421560740145, "loss": 1.5326, "step": 505 }, { "epoch": 1.23, "learning_rate": 0.00017811745776347547, "loss": 1.5659, "step": 510 }, { "epoch": 1.24, "learning_rate": 0.00017691069991954947, "loss": 1.4489, "step": 515 }, { "epoch": 1.25, "learning_rate": 0.0001757039420756235, "loss": 1.5312, "step": 520 }, { "epoch": 1.25, "eval_loss": 1.5857353210449219, "eval_runtime": 13.3247, "eval_samples_per_second": 15.685, "eval_steps_per_second": 2.026, "step": 520 }, { "epoch": 1.26, "learning_rate": 0.0001744971842316975, "loss": 1.3595, "step": 525 }, { "epoch": 1.27, "learning_rate": 0.00017329042638777152, "loss": 1.1543, "step": 530 }, { "epoch": 1.29, "learning_rate": 0.0001720836685438455, "loss": 1.4568, "step": 535 }, { "epoch": 1.3, "learning_rate": 0.00017087691069991954, "loss": 1.3682, "step": 540 }, { "epoch": 1.31, "learning_rate": 0.00016967015285599354, "loss": 1.5323, "step": 545 }, { "epoch": 1.32, "learning_rate": 0.00016846339501206756, "loss": 1.6644, "step": 550 }, { "epoch": 1.33, "learning_rate": 0.00016725663716814158, "loss": 1.5735, "step": 555 }, { "epoch": 1.35, "learning_rate": 0.00016604987932421558, "loss": 1.4759, "step": 560 }, { "epoch": 1.36, "learning_rate": 0.0001648431214802896, "loss": 1.3774, "step": 565 }, { "epoch": 1.37, "learning_rate": 0.0001636363636363636, "loss": 1.3321, "step": 570 }, { "epoch": 1.38, "learning_rate": 0.00016242960579243763, "loss": 1.2843, "step": 575 }, { "epoch": 1.39, "learning_rate": 0.00016122284794851163, "loss": 1.4636, "step": 580 }, { "epoch": 1.41, "learning_rate": 0.00016001609010458568, "loss": 1.4082, "step": 585 }, { "epoch": 1.42, "learning_rate": 0.0001588093322606597, "loss": 1.3848, "step": 590 }, { "epoch": 1.43, "learning_rate": 0.0001576025744167337, "loss": 1.5396, "step": 595 }, { "epoch": 1.44, "learning_rate": 0.00015639581657280773, "loss": 1.4889, "step": 600 }, { "epoch": 1.45, "learning_rate": 0.00015518905872888172, "loss": 1.4019, "step": 605 }, { "epoch": 1.47, "learning_rate": 0.00015398230088495575, "loss": 1.3788, "step": 610 }, { "epoch": 1.48, "learning_rate": 0.00015277554304102975, "loss": 1.409, "step": 615 }, { "epoch": 1.49, "learning_rate": 0.00015156878519710377, "loss": 1.5675, "step": 620 }, { "epoch": 1.5, "eval_loss": 1.584699273109436, "eval_runtime": 13.3509, "eval_samples_per_second": 15.654, "eval_steps_per_second": 2.022, "step": 624 }, { "epoch": 1.5, "learning_rate": 0.0001503620273531778, "loss": 1.3176, "step": 625 }, { "epoch": 1.51, "learning_rate": 0.0001491552695092518, "loss": 1.3114, "step": 630 }, { "epoch": 1.53, "learning_rate": 0.00014794851166532582, "loss": 1.4261, "step": 635 }, { "epoch": 1.54, "learning_rate": 0.00014674175382139982, "loss": 1.5156, "step": 640 }, { "epoch": 1.55, "learning_rate": 0.00014553499597747384, "loss": 1.3231, "step": 645 }, { "epoch": 1.56, "learning_rate": 0.00014432823813354787, "loss": 1.4353, "step": 650 }, { "epoch": 1.57, "learning_rate": 0.00014312148028962186, "loss": 1.4423, "step": 655 }, { "epoch": 1.59, "learning_rate": 0.0001419147224456959, "loss": 1.1512, "step": 660 }, { "epoch": 1.6, "learning_rate": 0.0001407079646017699, "loss": 1.3562, "step": 665 }, { "epoch": 1.61, "learning_rate": 0.0001395012067578439, "loss": 1.4033, "step": 670 }, { "epoch": 1.62, "learning_rate": 0.00013829444891391793, "loss": 1.5435, "step": 675 }, { "epoch": 1.63, "learning_rate": 0.00013708769106999193, "loss": 1.4543, "step": 680 }, { "epoch": 1.65, "learning_rate": 0.00013588093322606596, "loss": 1.3509, "step": 685 }, { "epoch": 1.66, "learning_rate": 0.00013467417538213995, "loss": 1.4268, "step": 690 }, { "epoch": 1.67, "learning_rate": 0.000133467417538214, "loss": 1.4231, "step": 695 }, { "epoch": 1.68, "learning_rate": 0.000132260659694288, "loss": 1.4727, "step": 700 }, { "epoch": 1.69, "learning_rate": 0.00013105390185036203, "loss": 1.2846, "step": 705 }, { "epoch": 1.71, "learning_rate": 0.00012984714400643603, "loss": 1.3458, "step": 710 }, { "epoch": 1.72, "learning_rate": 0.00012864038616251005, "loss": 1.6349, "step": 715 }, { "epoch": 1.73, "learning_rate": 0.00012743362831858405, "loss": 1.4798, "step": 720 }, { "epoch": 1.74, "learning_rate": 0.00012622687047465807, "loss": 1.6157, "step": 725 }, { "epoch": 1.75, "eval_loss": 1.5761181116104126, "eval_runtime": 13.3218, "eval_samples_per_second": 15.689, "eval_steps_per_second": 2.027, "step": 728 }, { "epoch": 1.75, "learning_rate": 0.00012502011263073207, "loss": 1.4723, "step": 730 }, { "epoch": 1.77, "learning_rate": 0.0001238133547868061, "loss": 1.4487, "step": 735 }, { "epoch": 1.78, "learning_rate": 0.00012260659694288012, "loss": 1.3613, "step": 740 }, { "epoch": 1.79, "learning_rate": 0.00012139983909895413, "loss": 1.1906, "step": 745 }, { "epoch": 1.8, "learning_rate": 0.00012019308125502816, "loss": 1.4962, "step": 750 }, { "epoch": 1.81, "learning_rate": 0.00011898632341110217, "loss": 1.5629, "step": 755 }, { "epoch": 1.83, "learning_rate": 0.00011777956556717618, "loss": 1.3566, "step": 760 }, { "epoch": 1.84, "learning_rate": 0.00011657280772325019, "loss": 1.3442, "step": 765 }, { "epoch": 1.85, "learning_rate": 0.0001153660498793242, "loss": 1.4071, "step": 770 }, { "epoch": 1.86, "learning_rate": 0.00011415929203539821, "loss": 1.4331, "step": 775 }, { "epoch": 1.88, "learning_rate": 0.00011295253419147222, "loss": 1.3572, "step": 780 }, { "epoch": 1.89, "learning_rate": 0.00011174577634754626, "loss": 1.4009, "step": 785 }, { "epoch": 1.9, "learning_rate": 0.00011053901850362027, "loss": 1.47, "step": 790 }, { "epoch": 1.91, "learning_rate": 0.00010933226065969428, "loss": 1.233, "step": 795 }, { "epoch": 1.92, "learning_rate": 0.0001081255028157683, "loss": 1.4593, "step": 800 }, { "epoch": 1.94, "learning_rate": 0.00010691874497184231, "loss": 1.4147, "step": 805 }, { "epoch": 1.95, "learning_rate": 0.00010571198712791632, "loss": 1.2775, "step": 810 }, { "epoch": 1.96, "learning_rate": 0.00010450522928399033, "loss": 1.5372, "step": 815 }, { "epoch": 1.97, "learning_rate": 0.00010329847144006434, "loss": 1.2994, "step": 820 }, { "epoch": 1.98, "learning_rate": 0.00010209171359613835, "loss": 1.3639, "step": 825 }, { "epoch": 2.0, "learning_rate": 0.00010088495575221239, "loss": 1.4629, "step": 830 }, { "epoch": 2.0, "eval_loss": 1.5735822916030884, "eval_runtime": 13.3179, "eval_samples_per_second": 15.693, "eval_steps_per_second": 2.027, "step": 832 }, { "epoch": 2.01, "learning_rate": 9.96781979082864e-05, "loss": 1.3559, "step": 835 }, { "epoch": 2.02, "learning_rate": 9.847144006436041e-05, "loss": 1.3924, "step": 840 }, { "epoch": 2.03, "learning_rate": 9.726468222043442e-05, "loss": 1.2349, "step": 845 }, { "epoch": 2.04, "learning_rate": 9.605792437650844e-05, "loss": 1.1467, "step": 850 }, { "epoch": 2.06, "learning_rate": 9.485116653258245e-05, "loss": 1.3251, "step": 855 }, { "epoch": 2.07, "learning_rate": 9.364440868865646e-05, "loss": 1.1517, "step": 860 }, { "epoch": 2.08, "learning_rate": 9.243765084473048e-05, "loss": 1.4388, "step": 865 }, { "epoch": 2.09, "learning_rate": 9.12308930008045e-05, "loss": 1.5138, "step": 870 }, { "epoch": 2.1, "learning_rate": 9.002413515687852e-05, "loss": 1.4948, "step": 875 }, { "epoch": 2.12, "learning_rate": 8.881737731295253e-05, "loss": 1.2988, "step": 880 }, { "epoch": 2.13, "learning_rate": 8.761061946902654e-05, "loss": 1.226, "step": 885 }, { "epoch": 2.14, "learning_rate": 8.640386162510055e-05, "loss": 1.1645, "step": 890 }, { "epoch": 2.15, "learning_rate": 8.519710378117456e-05, "loss": 1.278, "step": 895 }, { "epoch": 2.16, "learning_rate": 8.399034593724859e-05, "loss": 1.3873, "step": 900 }, { "epoch": 2.18, "learning_rate": 8.27835880933226e-05, "loss": 1.231, "step": 905 }, { "epoch": 2.19, "learning_rate": 8.157683024939661e-05, "loss": 1.401, "step": 910 }, { "epoch": 2.2, "learning_rate": 8.037007240547062e-05, "loss": 1.4372, "step": 915 }, { "epoch": 2.21, "learning_rate": 7.916331456154465e-05, "loss": 1.3624, "step": 920 }, { "epoch": 2.22, "learning_rate": 7.795655671761866e-05, "loss": 1.5242, "step": 925 }, { "epoch": 2.24, "learning_rate": 7.674979887369267e-05, "loss": 1.3661, "step": 930 }, { "epoch": 2.25, "learning_rate": 7.554304102976669e-05, "loss": 1.3608, "step": 935 }, { "epoch": 2.25, "eval_loss": 1.582654356956482, "eval_runtime": 13.332, "eval_samples_per_second": 15.677, "eval_steps_per_second": 2.025, "step": 936 }, { "epoch": 2.26, "learning_rate": 7.43362831858407e-05, "loss": 1.476, "step": 940 }, { "epoch": 2.27, "learning_rate": 7.312952534191472e-05, "loss": 1.3051, "step": 945 }, { "epoch": 2.28, "learning_rate": 7.192276749798874e-05, "loss": 1.418, "step": 950 }, { "epoch": 2.3, "learning_rate": 7.071600965406275e-05, "loss": 1.1781, "step": 955 }, { "epoch": 2.31, "learning_rate": 6.950925181013676e-05, "loss": 1.4319, "step": 960 }, { "epoch": 2.32, "learning_rate": 6.830249396621077e-05, "loss": 1.3059, "step": 965 }, { "epoch": 2.33, "learning_rate": 6.709573612228479e-05, "loss": 1.0836, "step": 970 }, { "epoch": 2.34, "learning_rate": 6.588897827835881e-05, "loss": 1.376, "step": 975 }, { "epoch": 2.36, "learning_rate": 6.468222043443282e-05, "loss": 1.5022, "step": 980 }, { "epoch": 2.37, "learning_rate": 6.347546259050683e-05, "loss": 1.2871, "step": 985 }, { "epoch": 2.38, "learning_rate": 6.226870474658084e-05, "loss": 1.2777, "step": 990 }, { "epoch": 2.39, "learning_rate": 6.106194690265487e-05, "loss": 1.5625, "step": 995 }, { "epoch": 2.4, "learning_rate": 5.985518905872888e-05, "loss": 1.087, "step": 1000 }, { "epoch": 2.42, "learning_rate": 5.864843121480289e-05, "loss": 1.3169, "step": 1005 }, { "epoch": 2.43, "learning_rate": 5.74416733708769e-05, "loss": 1.3657, "step": 1010 }, { "epoch": 2.44, "learning_rate": 5.6234915526950926e-05, "loss": 1.3917, "step": 1015 }, { "epoch": 2.45, "learning_rate": 5.502815768302494e-05, "loss": 1.3179, "step": 1020 }, { "epoch": 2.46, "learning_rate": 5.382139983909895e-05, "loss": 1.4162, "step": 1025 }, { "epoch": 2.48, "learning_rate": 5.261464199517296e-05, "loss": 1.3564, "step": 1030 }, { "epoch": 2.49, "learning_rate": 5.140788415124698e-05, "loss": 1.276, "step": 1035 }, { "epoch": 2.5, "learning_rate": 5.0201126307320996e-05, "loss": 1.3666, "step": 1040 }, { "epoch": 2.5, "eval_loss": 1.5801613330841064, "eval_runtime": 13.3272, "eval_samples_per_second": 15.682, "eval_steps_per_second": 2.026, "step": 1040 }, { "epoch": 2.51, "learning_rate": 4.899436846339501e-05, "loss": 1.4251, "step": 1045 }, { "epoch": 2.52, "learning_rate": 4.778761061946902e-05, "loss": 1.4518, "step": 1050 }, { "epoch": 2.54, "learning_rate": 4.6580852775543036e-05, "loss": 1.3541, "step": 1055 }, { "epoch": 2.55, "learning_rate": 4.5374094931617054e-05, "loss": 1.249, "step": 1060 }, { "epoch": 2.56, "learning_rate": 4.4167337087691066e-05, "loss": 1.3855, "step": 1065 }, { "epoch": 2.57, "learning_rate": 4.2960579243765084e-05, "loss": 1.2707, "step": 1070 }, { "epoch": 2.58, "learning_rate": 4.1753821399839095e-05, "loss": 1.2083, "step": 1075 }, { "epoch": 2.6, "learning_rate": 4.0547063555913106e-05, "loss": 1.4777, "step": 1080 }, { "epoch": 2.61, "learning_rate": 3.934030571198713e-05, "loss": 1.4348, "step": 1085 }, { "epoch": 2.62, "learning_rate": 3.813354786806114e-05, "loss": 1.2354, "step": 1090 }, { "epoch": 2.63, "learning_rate": 3.692679002413515e-05, "loss": 1.294, "step": 1095 }, { "epoch": 2.64, "learning_rate": 3.572003218020917e-05, "loss": 1.3231, "step": 1100 }, { "epoch": 2.66, "learning_rate": 3.451327433628318e-05, "loss": 1.2215, "step": 1105 }, { "epoch": 2.67, "learning_rate": 3.33065164923572e-05, "loss": 1.1217, "step": 1110 }, { "epoch": 2.68, "learning_rate": 3.209975864843121e-05, "loss": 1.4292, "step": 1115 }, { "epoch": 2.69, "learning_rate": 3.089300080450522e-05, "loss": 1.195, "step": 1120 }, { "epoch": 2.7, "learning_rate": 2.968624296057924e-05, "loss": 1.3549, "step": 1125 }, { "epoch": 2.72, "learning_rate": 2.8479485116653255e-05, "loss": 1.4274, "step": 1130 }, { "epoch": 2.73, "learning_rate": 2.727272727272727e-05, "loss": 1.4838, "step": 1135 }, { "epoch": 2.74, "learning_rate": 2.6065969428801284e-05, "loss": 1.2394, "step": 1140 }, { "epoch": 2.75, "eval_loss": 1.5814132690429688, "eval_runtime": 13.3223, "eval_samples_per_second": 15.688, "eval_steps_per_second": 2.027, "step": 1144 }, { "epoch": 2.75, "learning_rate": 2.4859211584875302e-05, "loss": 1.2414, "step": 1145 }, { "epoch": 2.76, "learning_rate": 2.3652453740949313e-05, "loss": 1.288, "step": 1150 }, { "epoch": 2.78, "learning_rate": 2.244569589702333e-05, "loss": 1.2, "step": 1155 }, { "epoch": 2.79, "learning_rate": 2.1238938053097343e-05, "loss": 1.2117, "step": 1160 }, { "epoch": 2.8, "learning_rate": 2.003218020917136e-05, "loss": 1.3717, "step": 1165 }, { "epoch": 2.81, "learning_rate": 1.8825422365245372e-05, "loss": 1.438, "step": 1170 }, { "epoch": 2.82, "learning_rate": 1.7618664521319386e-05, "loss": 1.3346, "step": 1175 }, { "epoch": 2.84, "learning_rate": 1.64119066773934e-05, "loss": 1.227, "step": 1180 }, { "epoch": 2.85, "learning_rate": 1.5205148833467417e-05, "loss": 1.3146, "step": 1185 }, { "epoch": 2.86, "learning_rate": 1.3998390989541432e-05, "loss": 1.4163, "step": 1190 }, { "epoch": 2.87, "learning_rate": 1.2791633145615445e-05, "loss": 1.1681, "step": 1195 }, { "epoch": 2.88, "learning_rate": 1.158487530168946e-05, "loss": 1.4127, "step": 1200 } ], "max_steps": 1248, "num_train_epochs": 3, "total_flos": 957297581350656.0, "trial_name": null, "trial_params": null }