{ "best_metric": 1.3614530563354492, "best_model_checkpoint": "saves/ChineseLLaMA2-7B-Chat/lora/2023-09-07-12-02-29/checkpoint-2000", "epoch": 2.167434299647792, "eval_steps": 100, "global_step": 2000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, "learning_rate": 0.0009999919374161553, "loss": 2.0025, "step": 5 }, { "epoch": 0.01, "learning_rate": 0.0009999677499246417, "loss": 1.7737, "step": 10 }, { "epoch": 0.02, "learning_rate": 0.0009999274383055143, "loss": 1.7391, "step": 15 }, { "epoch": 0.02, "learning_rate": 0.0009998710038588363, "loss": 1.7959, "step": 20 }, { "epoch": 0.03, "learning_rate": 0.0009997984484046375, "loss": 1.713, "step": 25 }, { "epoch": 0.03, "learning_rate": 0.0009997097742828556, "loss": 1.6441, "step": 30 }, { "epoch": 0.04, "learning_rate": 0.0009996049843532607, "loss": 1.704, "step": 35 }, { "epoch": 0.04, "learning_rate": 0.0009994840819953633, "loss": 1.6532, "step": 40 }, { "epoch": 0.05, "learning_rate": 0.0009993470711083048, "loss": 1.6791, "step": 45 }, { "epoch": 0.05, "learning_rate": 0.0009991939561107325, "loss": 1.6465, "step": 50 }, { "epoch": 0.06, "learning_rate": 0.000999024741940656, "loss": 1.6511, "step": 55 }, { "epoch": 0.07, "learning_rate": 0.0009988394340552898, "loss": 1.6727, "step": 60 }, { "epoch": 0.07, "learning_rate": 0.0009986380384308746, "loss": 1.6653, "step": 65 }, { "epoch": 0.08, "learning_rate": 0.0009984205615624873, "loss": 1.6339, "step": 70 }, { "epoch": 0.08, "learning_rate": 0.0009981870104638294, "loss": 1.5562, "step": 75 }, { "epoch": 0.09, "learning_rate": 0.0009979373926670028, "loss": 1.6291, "step": 80 }, { "epoch": 0.09, "learning_rate": 0.0009976717162222645, "loss": 1.625, "step": 85 }, { "epoch": 0.1, "learning_rate": 0.0009973899896977695, "loss": 1.6008, "step": 90 }, { "epoch": 0.1, "learning_rate": 0.000997092222179292, "loss": 1.6821, "step": 95 }, { "epoch": 0.11, "learning_rate": 0.0009967784232699352, "loss": 1.582, "step": 100 }, { "epoch": 0.11, "eval_loss": 1.6186352968215942, "eval_runtime": 10.6735, "eval_samples_per_second": 14.054, "eval_steps_per_second": 1.78, "step": 100 }, { "epoch": 0.11, "learning_rate": 0.0009964486030898186, "loss": 1.5769, "step": 105 }, { "epoch": 0.12, "learning_rate": 0.0009961027722757538, "loss": 1.5868, "step": 110 }, { "epoch": 0.12, "learning_rate": 0.0009957409419809006, "loss": 1.5601, "step": 115 }, { "epoch": 0.13, "learning_rate": 0.000995363123874407, "loss": 1.6061, "step": 120 }, { "epoch": 0.14, "learning_rate": 0.0009949693301410341, "loss": 1.6073, "step": 125 }, { "epoch": 0.14, "learning_rate": 0.0009945595734807615, "loss": 1.4998, "step": 130 }, { "epoch": 0.15, "learning_rate": 0.0009941338671083794, "loss": 1.5295, "step": 135 }, { "epoch": 0.15, "learning_rate": 0.0009936922247530606, "loss": 1.5418, "step": 140 }, { "epoch": 0.16, "learning_rate": 0.0009932346606579192, "loss": 1.554, "step": 145 }, { "epoch": 0.16, "learning_rate": 0.0009927611895795513, "loss": 1.5509, "step": 150 }, { "epoch": 0.17, "learning_rate": 0.0009922718267875571, "loss": 1.6123, "step": 155 }, { "epoch": 0.17, "learning_rate": 0.0009917665880640515, "loss": 1.6267, "step": 160 }, { "epoch": 0.18, "learning_rate": 0.0009912454897031524, "loss": 1.6116, "step": 165 }, { "epoch": 0.18, "learning_rate": 0.0009907085485104568, "loss": 1.5618, "step": 170 }, { "epoch": 0.19, "learning_rate": 0.0009901557818024981, "loss": 1.6085, "step": 175 }, { "epoch": 0.2, "learning_rate": 0.0009895872074061885, "loss": 1.5829, "step": 180 }, { "epoch": 0.2, "learning_rate": 0.0009890028436582426, "loss": 1.5407, "step": 185 }, { "epoch": 0.21, "learning_rate": 0.0009884027094045871, "loss": 1.5568, "step": 190 }, { "epoch": 0.21, "learning_rate": 0.0009877868239997532, "loss": 1.5831, "step": 195 }, { "epoch": 0.22, "learning_rate": 0.0009871552073062516, "loss": 1.5231, "step": 200 }, { "epoch": 0.22, "eval_loss": 1.5717933177947998, "eval_runtime": 10.6708, "eval_samples_per_second": 14.057, "eval_steps_per_second": 1.781, "step": 200 }, { "epoch": 0.22, "learning_rate": 0.0009865078796939327, "loss": 1.5467, "step": 205 }, { "epoch": 0.23, "learning_rate": 0.000985844862039329, "loss": 1.6403, "step": 210 }, { "epoch": 0.23, "learning_rate": 0.0009851661757249823, "loss": 1.5352, "step": 215 }, { "epoch": 0.24, "learning_rate": 0.0009844718426387537, "loss": 1.5616, "step": 220 }, { "epoch": 0.24, "learning_rate": 0.000983761885173118, "loss": 1.5274, "step": 225 }, { "epoch": 0.25, "learning_rate": 0.000983036326224442, "loss": 1.6153, "step": 230 }, { "epoch": 0.25, "learning_rate": 0.0009822951891922448, "loss": 1.5062, "step": 235 }, { "epoch": 0.26, "learning_rate": 0.0009815384979784444, "loss": 1.6038, "step": 240 }, { "epoch": 0.27, "learning_rate": 0.000980766276986586, "loss": 1.5097, "step": 245 }, { "epoch": 0.27, "learning_rate": 0.0009799785511210557, "loss": 1.535, "step": 250 }, { "epoch": 0.28, "learning_rate": 0.000979175345786277, "loss": 1.52, "step": 255 }, { "epoch": 0.28, "learning_rate": 0.0009783566868858912, "loss": 1.5678, "step": 260 }, { "epoch": 0.29, "learning_rate": 0.0009775226008219224, "loss": 1.5536, "step": 265 }, { "epoch": 0.29, "learning_rate": 0.0009766731144939258, "loss": 1.4826, "step": 270 }, { "epoch": 0.3, "learning_rate": 0.0009758082552981204, "loss": 1.5537, "step": 275 }, { "epoch": 0.3, "learning_rate": 0.0009749280511265056, "loss": 1.5277, "step": 280 }, { "epoch": 0.31, "learning_rate": 0.0009740325303659609, "loss": 1.5445, "step": 285 }, { "epoch": 0.31, "learning_rate": 0.000973121721897331, "loss": 1.4944, "step": 290 }, { "epoch": 0.32, "learning_rate": 0.0009721956550944948, "loss": 1.5088, "step": 295 }, { "epoch": 0.33, "learning_rate": 0.0009712543598234172, "loss": 1.585, "step": 300 }, { "epoch": 0.33, "eval_loss": 1.5345921516418457, "eval_runtime": 10.6704, "eval_samples_per_second": 14.058, "eval_steps_per_second": 1.781, "step": 300 }, { "epoch": 0.33, "learning_rate": 0.0009702978664411863, "loss": 1.5427, "step": 305 }, { "epoch": 0.34, "learning_rate": 0.0009693262057950345, "loss": 1.4475, "step": 310 }, { "epoch": 0.34, "learning_rate": 0.0009683394092213436, "loss": 1.5321, "step": 315 }, { "epoch": 0.35, "learning_rate": 0.0009673375085446339, "loss": 1.5171, "step": 320 }, { "epoch": 0.35, "learning_rate": 0.0009663205360765382, "loss": 1.5198, "step": 325 }, { "epoch": 0.36, "learning_rate": 0.00096528852461476, "loss": 1.492, "step": 330 }, { "epoch": 0.36, "learning_rate": 0.0009642415074420146, "loss": 1.5036, "step": 335 }, { "epoch": 0.37, "learning_rate": 0.0009631795183249573, "loss": 1.5134, "step": 340 }, { "epoch": 0.37, "learning_rate": 0.0009621025915130932, "loss": 1.5568, "step": 345 }, { "epoch": 0.38, "learning_rate": 0.0009610107617376733, "loss": 1.503, "step": 350 }, { "epoch": 0.38, "learning_rate": 0.0009599040642105736, "loss": 1.4584, "step": 355 }, { "epoch": 0.39, "learning_rate": 0.000958782534623161, "loss": 1.4832, "step": 360 }, { "epoch": 0.4, "learning_rate": 0.0009576462091451406, "loss": 1.4598, "step": 365 }, { "epoch": 0.4, "learning_rate": 0.0009564951244233901, "loss": 1.5492, "step": 370 }, { "epoch": 0.41, "learning_rate": 0.000955329317580778, "loss": 1.5145, "step": 375 }, { "epoch": 0.41, "learning_rate": 0.0009541488262149661, "loss": 1.589, "step": 380 }, { "epoch": 0.42, "learning_rate": 0.0009529536883971963, "loss": 1.6003, "step": 385 }, { "epoch": 0.42, "learning_rate": 0.0009517439426710646, "loss": 1.55, "step": 390 }, { "epoch": 0.43, "learning_rate": 0.0009505196280512762, "loss": 1.5359, "step": 395 }, { "epoch": 0.43, "learning_rate": 0.0009492807840223881, "loss": 1.4854, "step": 400 }, { "epoch": 0.43, "eval_loss": 1.5193477869033813, "eval_runtime": 10.6722, "eval_samples_per_second": 14.055, "eval_steps_per_second": 1.78, "step": 400 }, { "epoch": 0.44, "learning_rate": 0.0009480274505375358, "loss": 1.4891, "step": 405 }, { "epoch": 0.44, "learning_rate": 0.0009467596680171446, "loss": 1.4719, "step": 410 }, { "epoch": 0.45, "learning_rate": 0.0009454774773476257, "loss": 1.4939, "step": 415 }, { "epoch": 0.46, "learning_rate": 0.0009441809198800587, "loss": 1.4382, "step": 420 }, { "epoch": 0.46, "learning_rate": 0.0009428700374288564, "loss": 1.4427, "step": 425 }, { "epoch": 0.47, "learning_rate": 0.0009415448722704175, "loss": 1.4767, "step": 430 }, { "epoch": 0.47, "learning_rate": 0.0009402054671417628, "loss": 1.4799, "step": 435 }, { "epoch": 0.48, "learning_rate": 0.0009388518652391571, "loss": 1.4608, "step": 440 }, { "epoch": 0.48, "learning_rate": 0.0009374841102167157, "loss": 1.4937, "step": 445 }, { "epoch": 0.49, "learning_rate": 0.0009361022461849965, "loss": 1.5468, "step": 450 }, { "epoch": 0.49, "learning_rate": 0.0009347063177095783, "loss": 1.5481, "step": 455 }, { "epoch": 0.5, "learning_rate": 0.0009332963698096223, "loss": 1.4478, "step": 460 }, { "epoch": 0.5, "learning_rate": 0.0009318724479564215, "loss": 1.4977, "step": 465 }, { "epoch": 0.51, "learning_rate": 0.0009304345980719329, "loss": 1.5091, "step": 470 }, { "epoch": 0.51, "learning_rate": 0.0009289828665272977, "loss": 1.43, "step": 475 }, { "epoch": 0.52, "learning_rate": 0.0009275173001413448, "loss": 1.4725, "step": 480 }, { "epoch": 0.53, "learning_rate": 0.0009260379461790822, "loss": 1.3741, "step": 485 }, { "epoch": 0.53, "learning_rate": 0.0009245448523501708, "loss": 1.4917, "step": 490 }, { "epoch": 0.54, "learning_rate": 0.0009230380668073877, "loss": 1.4684, "step": 495 }, { "epoch": 0.54, "learning_rate": 0.0009215176381450717, "loss": 1.5209, "step": 500 }, { "epoch": 0.54, "eval_loss": 1.5050214529037476, "eval_runtime": 10.6706, "eval_samples_per_second": 14.057, "eval_steps_per_second": 1.781, "step": 500 }, { "epoch": 0.55, "learning_rate": 0.0009199836153975573, "loss": 1.4913, "step": 505 }, { "epoch": 0.55, "learning_rate": 0.0009184360480375926, "loss": 1.5377, "step": 510 }, { "epoch": 0.56, "learning_rate": 0.0009168749859747438, "loss": 1.4608, "step": 515 }, { "epoch": 0.56, "learning_rate": 0.0009153004795537861, "loss": 1.4738, "step": 520 }, { "epoch": 0.57, "learning_rate": 0.0009137125795530795, "loss": 1.4947, "step": 525 }, { "epoch": 0.57, "learning_rate": 0.0009121113371829318, "loss": 1.5267, "step": 530 }, { "epoch": 0.58, "learning_rate": 0.0009104968040839463, "loss": 1.5116, "step": 535 }, { "epoch": 0.59, "learning_rate": 0.000908869032325357, "loss": 1.4423, "step": 540 }, { "epoch": 0.59, "learning_rate": 0.000907228074403349, "loss": 1.4565, "step": 545 }, { "epoch": 0.6, "learning_rate": 0.0009055739832393655, "loss": 1.4923, "step": 550 }, { "epoch": 0.6, "learning_rate": 0.0009039068121784016, "loss": 1.4304, "step": 555 }, { "epoch": 0.61, "learning_rate": 0.0009022266149872829, "loss": 1.4422, "step": 560 }, { "epoch": 0.61, "learning_rate": 0.0009005334458529322, "loss": 1.522, "step": 565 }, { "epoch": 0.62, "learning_rate": 0.0008988273593806222, "loss": 1.499, "step": 570 }, { "epoch": 0.62, "learning_rate": 0.0008971084105922139, "loss": 1.4796, "step": 575 }, { "epoch": 0.63, "learning_rate": 0.0008953766549243818, "loss": 1.4231, "step": 580 }, { "epoch": 0.63, "learning_rate": 0.0008936321482268275, "loss": 1.462, "step": 585 }, { "epoch": 0.64, "learning_rate": 0.0008918749467604766, "loss": 1.5191, "step": 590 }, { "epoch": 0.64, "learning_rate": 0.0008901051071956661, "loss": 1.4845, "step": 595 }, { "epoch": 0.65, "learning_rate": 0.0008883226866103152, "loss": 1.4652, "step": 600 }, { "epoch": 0.65, "eval_loss": 1.486396074295044, "eval_runtime": 10.6718, "eval_samples_per_second": 14.056, "eval_steps_per_second": 1.78, "step": 600 }, { "epoch": 0.66, "learning_rate": 0.0008865277424880859, "loss": 1.4773, "step": 605 }, { "epoch": 0.66, "learning_rate": 0.0008847203327165278, "loss": 1.4555, "step": 610 }, { "epoch": 0.67, "learning_rate": 0.0008829005155852125, "loss": 1.5235, "step": 615 }, { "epoch": 0.67, "learning_rate": 0.0008810683497838525, "loss": 1.4329, "step": 620 }, { "epoch": 0.68, "learning_rate": 0.0008792238944004096, "loss": 1.4515, "step": 625 }, { "epoch": 0.68, "learning_rate": 0.0008773672089191885, "loss": 1.4616, "step": 630 }, { "epoch": 0.69, "learning_rate": 0.0008754983532189185, "loss": 1.3931, "step": 635 }, { "epoch": 0.69, "learning_rate": 0.0008736173875708229, "loss": 1.4714, "step": 640 }, { "epoch": 0.7, "learning_rate": 0.0008717243726366746, "loss": 1.4831, "step": 645 }, { "epoch": 0.7, "learning_rate": 0.00086981936946684, "loss": 1.4928, "step": 650 }, { "epoch": 0.71, "learning_rate": 0.0008679024394983105, "loss": 1.3735, "step": 655 }, { "epoch": 0.72, "learning_rate": 0.0008659736445527202, "loss": 1.4587, "step": 660 }, { "epoch": 0.72, "learning_rate": 0.0008640330468343532, "loss": 1.5138, "step": 665 }, { "epoch": 0.73, "learning_rate": 0.0008620807089281364, "loss": 1.4625, "step": 670 }, { "epoch": 0.73, "learning_rate": 0.0008601166937976226, "loss": 1.4173, "step": 675 }, { "epoch": 0.74, "learning_rate": 0.000858141064782958, "loss": 1.4901, "step": 680 }, { "epoch": 0.74, "learning_rate": 0.0008561538855988409, "loss": 1.4056, "step": 685 }, { "epoch": 0.75, "learning_rate": 0.0008541552203324667, "loss": 1.4486, "step": 690 }, { "epoch": 0.75, "learning_rate": 0.0008521451334414605, "loss": 1.4147, "step": 695 }, { "epoch": 0.76, "learning_rate": 0.0008501236897517987, "loss": 1.4547, "step": 700 }, { "epoch": 0.76, "eval_loss": 1.4729957580566406, "eval_runtime": 10.6704, "eval_samples_per_second": 14.058, "eval_steps_per_second": 1.781, "step": 700 }, { "epoch": 0.76, "learning_rate": 0.000848090954455718, "loss": 1.4464, "step": 705 }, { "epoch": 0.77, "learning_rate": 0.0008460469931096138, "loss": 1.4163, "step": 710 }, { "epoch": 0.77, "learning_rate": 0.0008439918716319246, "loss": 1.5283, "step": 715 }, { "epoch": 0.78, "learning_rate": 0.0008419256563010076, "loss": 1.4313, "step": 720 }, { "epoch": 0.79, "learning_rate": 0.000839848413753, "loss": 1.3995, "step": 725 }, { "epoch": 0.79, "learning_rate": 0.0008377602109796709, "loss": 1.4265, "step": 730 }, { "epoch": 0.8, "learning_rate": 0.0008356611153262598, "loss": 1.4426, "step": 735 }, { "epoch": 0.8, "learning_rate": 0.0008335511944893057, "loss": 1.4251, "step": 740 }, { "epoch": 0.81, "learning_rate": 0.0008314305165144633, "loss": 1.4686, "step": 745 }, { "epoch": 0.81, "learning_rate": 0.0008292991497943081, "loss": 1.4658, "step": 750 }, { "epoch": 0.82, "learning_rate": 0.0008271571630661321, "loss": 1.4347, "step": 755 }, { "epoch": 0.82, "learning_rate": 0.0008250046254097255, "loss": 1.4235, "step": 760 }, { "epoch": 0.83, "learning_rate": 0.0008228416062451494, "loss": 1.5047, "step": 765 }, { "epoch": 0.83, "learning_rate": 0.0008206681753304976, "loss": 1.445, "step": 770 }, { "epoch": 0.84, "learning_rate": 0.0008184844027596461, "loss": 1.4077, "step": 775 }, { "epoch": 0.85, "learning_rate": 0.0008162903589599924, "loss": 1.5057, "step": 780 }, { "epoch": 0.85, "learning_rate": 0.0008140861146901849, "loss": 1.4445, "step": 785 }, { "epoch": 0.86, "learning_rate": 0.0008118717410378407, "loss": 1.5333, "step": 790 }, { "epoch": 0.86, "learning_rate": 0.0008096473094172527, "loss": 1.3786, "step": 795 }, { "epoch": 0.87, "learning_rate": 0.0008074128915670868, "loss": 1.3781, "step": 800 }, { "epoch": 0.87, "eval_loss": 1.4600605964660645, "eval_runtime": 10.6704, "eval_samples_per_second": 14.058, "eval_steps_per_second": 1.781, "step": 800 }, { "epoch": 0.87, "learning_rate": 0.0008051685595480678, "loss": 1.5097, "step": 805 }, { "epoch": 0.88, "learning_rate": 0.0008029143857406563, "loss": 1.5608, "step": 810 }, { "epoch": 0.88, "learning_rate": 0.0008006504428427133, "loss": 1.4113, "step": 815 }, { "epoch": 0.89, "learning_rate": 0.0007983768038671568, "loss": 1.3781, "step": 820 }, { "epoch": 0.89, "learning_rate": 0.0007960935421396062, "loss": 1.4056, "step": 825 }, { "epoch": 0.9, "learning_rate": 0.0007938007312960178, "loss": 1.4463, "step": 830 }, { "epoch": 0.9, "learning_rate": 0.0007914984452803105, "loss": 1.3983, "step": 835 }, { "epoch": 0.91, "learning_rate": 0.0007891867583419805, "loss": 1.3968, "step": 840 }, { "epoch": 0.92, "learning_rate": 0.0007868657450337066, "loss": 1.4587, "step": 845 }, { "epoch": 0.92, "learning_rate": 0.0007845354802089463, "loss": 1.4654, "step": 850 }, { "epoch": 0.93, "learning_rate": 0.0007821960390195224, "loss": 1.4384, "step": 855 }, { "epoch": 0.93, "learning_rate": 0.0007798474969131971, "loss": 1.44, "step": 860 }, { "epoch": 0.94, "learning_rate": 0.0007774899296312414, "loss": 1.4221, "step": 865 }, { "epoch": 0.94, "learning_rate": 0.0007751234132059906, "loss": 1.3795, "step": 870 }, { "epoch": 0.95, "learning_rate": 0.0007727480239583933, "loss": 1.4748, "step": 875 }, { "epoch": 0.95, "learning_rate": 0.0007703638384955494, "loss": 1.5171, "step": 880 }, { "epoch": 0.96, "learning_rate": 0.0007679709337082394, "loss": 1.3996, "step": 885 }, { "epoch": 0.96, "learning_rate": 0.0007655693867684454, "loss": 1.4386, "step": 890 }, { "epoch": 0.97, "learning_rate": 0.0007631592751268618, "loss": 1.3789, "step": 895 }, { "epoch": 0.98, "learning_rate": 0.0007607406765103972, "loss": 1.4553, "step": 900 }, { "epoch": 0.98, "eval_loss": 1.4479364156723022, "eval_runtime": 10.6698, "eval_samples_per_second": 14.058, "eval_steps_per_second": 1.781, "step": 900 }, { "epoch": 0.98, "learning_rate": 0.000758313668919668, "loss": 1.3962, "step": 905 }, { "epoch": 0.99, "learning_rate": 0.000755878330626483, "loss": 1.3899, "step": 910 }, { "epoch": 0.99, "learning_rate": 0.0007534347401713191, "loss": 1.3965, "step": 915 }, { "epoch": 1.0, "learning_rate": 0.0007509829763607879, "loss": 1.367, "step": 920 }, { "epoch": 1.0, "learning_rate": 0.0007485231182650945, "loss": 1.4027, "step": 925 }, { "epoch": 1.01, "learning_rate": 0.0007460552452154877, "loss": 1.3563, "step": 930 }, { "epoch": 1.01, "learning_rate": 0.0007435794368017007, "loss": 1.3192, "step": 935 }, { "epoch": 1.02, "learning_rate": 0.0007410957728693856, "loss": 1.2772, "step": 940 }, { "epoch": 1.02, "learning_rate": 0.0007386043335175367, "loss": 1.3291, "step": 945 }, { "epoch": 1.03, "learning_rate": 0.000736105199095909, "loss": 1.304, "step": 950 }, { "epoch": 1.03, "learning_rate": 0.0007335984502024256, "loss": 1.3832, "step": 955 }, { "epoch": 1.04, "learning_rate": 0.0007310841676805791, "loss": 1.3351, "step": 960 }, { "epoch": 1.05, "learning_rate": 0.000728562432616824, "loss": 1.3375, "step": 965 }, { "epoch": 1.05, "learning_rate": 0.0007260333263379619, "loss": 1.3323, "step": 970 }, { "epoch": 1.06, "learning_rate": 0.0007234969304085186, "loss": 1.3293, "step": 975 }, { "epoch": 1.06, "learning_rate": 0.0007209533266281133, "loss": 1.3859, "step": 980 }, { "epoch": 1.07, "learning_rate": 0.0007184025970288211, "loss": 1.3553, "step": 985 }, { "epoch": 1.07, "learning_rate": 0.000715844823872527, "loss": 1.3607, "step": 990 }, { "epoch": 1.08, "learning_rate": 0.0007132800896482731, "loss": 1.3457, "step": 995 }, { "epoch": 1.08, "learning_rate": 0.0007107084770695986, "loss": 1.3788, "step": 1000 }, { "epoch": 1.08, "eval_loss": 1.4371482133865356, "eval_runtime": 10.6719, "eval_samples_per_second": 14.056, "eval_steps_per_second": 1.78, "step": 1000 }, { "epoch": 1.09, "learning_rate": 0.0007081300690718709, "loss": 1.3039, "step": 1005 }, { "epoch": 1.09, "learning_rate": 0.0007055449488096132, "loss": 1.2719, "step": 1010 }, { "epoch": 1.1, "learning_rate": 0.0007029531996538212, "loss": 1.4107, "step": 1015 }, { "epoch": 1.11, "learning_rate": 0.0007003549051892738, "loss": 1.38, "step": 1020 }, { "epoch": 1.11, "learning_rate": 0.0006977501492118391, "loss": 1.3408, "step": 1025 }, { "epoch": 1.12, "learning_rate": 0.0006951390157257712, "loss": 1.3704, "step": 1030 }, { "epoch": 1.12, "learning_rate": 0.0006925215889410004, "loss": 1.345, "step": 1035 }, { "epoch": 1.13, "learning_rate": 0.0006898979532704186, "loss": 1.3414, "step": 1040 }, { "epoch": 1.13, "learning_rate": 0.0006872681933271559, "loss": 1.3131, "step": 1045 }, { "epoch": 1.14, "learning_rate": 0.0006846323939218526, "loss": 1.3363, "step": 1050 }, { "epoch": 1.14, "learning_rate": 0.0006819906400599234, "loss": 1.3659, "step": 1055 }, { "epoch": 1.15, "learning_rate": 0.0006793430169388163, "loss": 1.3145, "step": 1060 }, { "epoch": 1.15, "learning_rate": 0.0006766896099452652, "loss": 1.3727, "step": 1065 }, { "epoch": 1.16, "learning_rate": 0.0006740305046525351, "loss": 1.3478, "step": 1070 }, { "epoch": 1.16, "learning_rate": 0.0006713657868176639, "loss": 1.3848, "step": 1075 }, { "epoch": 1.17, "learning_rate": 0.0006686955423786951, "loss": 1.3501, "step": 1080 }, { "epoch": 1.18, "learning_rate": 0.0006660198574519078, "loss": 1.3782, "step": 1085 }, { "epoch": 1.18, "learning_rate": 0.000663338818329038, "loss": 1.3767, "step": 1090 }, { "epoch": 1.19, "learning_rate": 0.0006606525114744965, "loss": 1.3665, "step": 1095 }, { "epoch": 1.19, "learning_rate": 0.0006579610235225805, "loss": 1.2234, "step": 1100 }, { "epoch": 1.19, "eval_loss": 1.4341663122177124, "eval_runtime": 10.6713, "eval_samples_per_second": 14.056, "eval_steps_per_second": 1.78, "step": 1100 }, { "epoch": 1.2, "learning_rate": 0.0006552644412746791, "loss": 1.4083, "step": 1105 }, { "epoch": 1.2, "learning_rate": 0.0006525628516964741, "loss": 1.4225, "step": 1110 }, { "epoch": 1.21, "learning_rate": 0.0006498563419151354, "loss": 1.3677, "step": 1115 }, { "epoch": 1.21, "learning_rate": 0.0006471449992165113, "loss": 1.2836, "step": 1120 }, { "epoch": 1.22, "learning_rate": 0.0006444289110423129, "loss": 1.3428, "step": 1125 }, { "epoch": 1.22, "learning_rate": 0.0006417081649872952, "loss": 1.3192, "step": 1130 }, { "epoch": 1.23, "learning_rate": 0.0006389828487964305, "loss": 1.3084, "step": 1135 }, { "epoch": 1.24, "learning_rate": 0.00063625305036208, "loss": 1.3702, "step": 1140 }, { "epoch": 1.24, "learning_rate": 0.000633518857721159, "loss": 1.3054, "step": 1145 }, { "epoch": 1.25, "learning_rate": 0.0006307803590522972, "loss": 1.3211, "step": 1150 }, { "epoch": 1.25, "learning_rate": 0.0006280376426729947, "loss": 1.3319, "step": 1155 }, { "epoch": 1.26, "learning_rate": 0.0006252907970367749, "loss": 1.4346, "step": 1160 }, { "epoch": 1.26, "learning_rate": 0.0006225399107303309, "loss": 1.3938, "step": 1165 }, { "epoch": 1.27, "learning_rate": 0.0006197850724706682, "loss": 1.4371, "step": 1170 }, { "epoch": 1.27, "learning_rate": 0.0006170263711022451, "loss": 1.2925, "step": 1175 }, { "epoch": 1.28, "learning_rate": 0.0006142638955941057, "loss": 1.3135, "step": 1180 }, { "epoch": 1.28, "learning_rate": 0.0006114977350370114, "loss": 1.3572, "step": 1185 }, { "epoch": 1.29, "learning_rate": 0.0006087279786405684, "loss": 1.3918, "step": 1190 }, { "epoch": 1.3, "learning_rate": 0.0006059547157303491, "loss": 1.3732, "step": 1195 }, { "epoch": 1.3, "learning_rate": 0.0006031780357450124, "loss": 1.3541, "step": 1200 }, { "epoch": 1.3, "eval_loss": 1.4208500385284424, "eval_runtime": 10.67, "eval_samples_per_second": 14.058, "eval_steps_per_second": 1.781, "step": 1200 }, { "epoch": 1.31, "learning_rate": 0.0006003980282334191, "loss": 1.2997, "step": 1205 }, { "epoch": 1.31, "learning_rate": 0.0005976147828517439, "loss": 1.2832, "step": 1210 }, { "epoch": 1.32, "learning_rate": 0.0005948283893605839, "loss": 1.3863, "step": 1215 }, { "epoch": 1.32, "learning_rate": 0.0005920389376220633, "loss": 1.3599, "step": 1220 }, { "epoch": 1.33, "learning_rate": 0.0005892465175969366, "loss": 1.3085, "step": 1225 }, { "epoch": 1.33, "learning_rate": 0.000586451219341686, "loss": 1.3355, "step": 1230 }, { "epoch": 1.34, "learning_rate": 0.0005836531330056176, "loss": 1.291, "step": 1235 }, { "epoch": 1.34, "learning_rate": 0.0005808523488279542, "loss": 1.3286, "step": 1240 }, { "epoch": 1.35, "learning_rate": 0.0005780489571349249, "loss": 1.3704, "step": 1245 }, { "epoch": 1.35, "learning_rate": 0.000575243048336852, "loss": 1.3263, "step": 1250 }, { "epoch": 1.36, "learning_rate": 0.0005724347129252354, "loss": 1.3357, "step": 1255 }, { "epoch": 1.37, "learning_rate": 0.0005696240414698337, "loss": 1.3665, "step": 1260 }, { "epoch": 1.37, "learning_rate": 0.0005668111246157441, "loss": 1.2568, "step": 1265 }, { "epoch": 1.38, "learning_rate": 0.0005639960530804787, "loss": 1.3212, "step": 1270 }, { "epoch": 1.38, "learning_rate": 0.0005611789176510384, "loss": 1.3358, "step": 1275 }, { "epoch": 1.39, "learning_rate": 0.0005583598091809859, "loss": 1.3618, "step": 1280 }, { "epoch": 1.39, "learning_rate": 0.0005555388185875146, "loss": 1.3273, "step": 1285 }, { "epoch": 1.4, "learning_rate": 0.0005527160368485172, "loss": 1.284, "step": 1290 }, { "epoch": 1.4, "learning_rate": 0.0005498915549996516, "loss": 1.3665, "step": 1295 }, { "epoch": 1.41, "learning_rate": 0.0005470654641314045, "loss": 1.2796, "step": 1300 }, { "epoch": 1.41, "eval_loss": 1.4054052829742432, "eval_runtime": 10.6703, "eval_samples_per_second": 14.058, "eval_steps_per_second": 1.781, "step": 1300 }, { "epoch": 1.41, "learning_rate": 0.0005442378553861545, "loss": 1.3107, "step": 1305 }, { "epoch": 1.42, "learning_rate": 0.0005414088199552319, "loss": 1.3665, "step": 1310 }, { "epoch": 1.43, "learning_rate": 0.000538578449075978, "loss": 1.3326, "step": 1315 }, { "epoch": 1.43, "learning_rate": 0.0005357468340288031, "loss": 1.3383, "step": 1320 }, { "epoch": 1.44, "learning_rate": 0.000532914066134242, "loss": 1.336, "step": 1325 }, { "epoch": 1.44, "learning_rate": 0.0005300802367500093, "loss": 1.3949, "step": 1330 }, { "epoch": 1.45, "learning_rate": 0.0005272454372680532, "loss": 1.3214, "step": 1335 }, { "epoch": 1.45, "learning_rate": 0.0005244097591116077, "loss": 1.376, "step": 1340 }, { "epoch": 1.46, "learning_rate": 0.0005215732937322439, "loss": 1.2345, "step": 1345 }, { "epoch": 1.46, "learning_rate": 0.0005187361326069224, "loss": 1.4495, "step": 1350 }, { "epoch": 1.47, "learning_rate": 0.0005158983672350405, "loss": 1.3978, "step": 1355 }, { "epoch": 1.47, "learning_rate": 0.0005130600891354833, "loss": 1.2517, "step": 1360 }, { "epoch": 1.48, "learning_rate": 0.0005102213898436715, "loss": 1.3823, "step": 1365 }, { "epoch": 1.48, "learning_rate": 0.0005073823609086091, "loss": 1.3219, "step": 1370 }, { "epoch": 1.49, "learning_rate": 0.0005045430938899315, "loss": 1.3354, "step": 1375 }, { "epoch": 1.5, "learning_rate": 0.0005017036803549523, "loss": 1.3054, "step": 1380 }, { "epoch": 1.5, "learning_rate": 0.0004988642118757102, "loss": 1.2346, "step": 1385 }, { "epoch": 1.51, "learning_rate": 0.0004960247800260161, "loss": 1.274, "step": 1390 }, { "epoch": 1.51, "learning_rate": 0.0004931854763784994, "loss": 1.4231, "step": 1395 }, { "epoch": 1.52, "learning_rate": 0.000490346392501655, "loss": 1.2872, "step": 1400 }, { "epoch": 1.52, "eval_loss": 1.3990795612335205, "eval_runtime": 10.6706, "eval_samples_per_second": 14.057, "eval_steps_per_second": 1.781, "step": 1400 }, { "epoch": 1.52, "learning_rate": 0.00048750761995688984, "loss": 1.4041, "step": 1405 }, { "epoch": 1.53, "learning_rate": 0.0004846692502955709, "loss": 1.3405, "step": 1410 }, { "epoch": 1.53, "learning_rate": 0.00048183137505607154, "loss": 1.3198, "step": 1415 }, { "epoch": 1.54, "learning_rate": 0.00047899408576082016, "loss": 1.3528, "step": 1420 }, { "epoch": 1.54, "learning_rate": 0.0004761574739133478, "loss": 1.3095, "step": 1425 }, { "epoch": 1.55, "learning_rate": 0.00047332163099533787, "loss": 1.3278, "step": 1430 }, { "epoch": 1.56, "learning_rate": 0.00047048664846367587, "loss": 1.3305, "step": 1435 }, { "epoch": 1.56, "learning_rate": 0.0004676526177474991, "loss": 1.3997, "step": 1440 }, { "epoch": 1.57, "learning_rate": 0.00046481963024524846, "loss": 1.341, "step": 1445 }, { "epoch": 1.57, "learning_rate": 0.00046198777732172133, "loss": 1.3008, "step": 1450 }, { "epoch": 1.58, "learning_rate": 0.00045915715030512405, "loss": 1.2643, "step": 1455 }, { "epoch": 1.58, "learning_rate": 0.0004563278404841273, "loss": 1.3169, "step": 1460 }, { "epoch": 1.59, "learning_rate": 0.00045349993910492154, "loss": 1.3062, "step": 1465 }, { "epoch": 1.59, "learning_rate": 0.00045067353736827495, "loss": 1.2876, "step": 1470 }, { "epoch": 1.6, "learning_rate": 0.0004478487264265913, "loss": 1.3534, "step": 1475 }, { "epoch": 1.6, "learning_rate": 0.0004450255973809707, "loss": 1.318, "step": 1480 }, { "epoch": 1.61, "learning_rate": 0.000442204241278272, "loss": 1.3195, "step": 1485 }, { "epoch": 1.61, "learning_rate": 0.0004393847491081756, "loss": 1.3208, "step": 1490 }, { "epoch": 1.62, "learning_rate": 0.0004365672118002494, "loss": 1.3879, "step": 1495 }, { "epoch": 1.63, "learning_rate": 0.0004337517202210168, "loss": 1.3356, "step": 1500 }, { "epoch": 1.63, "eval_loss": 1.3873966932296753, "eval_runtime": 10.6704, "eval_samples_per_second": 14.058, "eval_steps_per_second": 1.781, "step": 1500 }, { "epoch": 1.63, "learning_rate": 0.0004309383651710254, "loss": 1.3163, "step": 1505 }, { "epoch": 1.64, "learning_rate": 0.00042812723738191896, "loss": 1.3119, "step": 1510 }, { "epoch": 1.64, "learning_rate": 0.0004253184275135116, "loss": 1.2777, "step": 1515 }, { "epoch": 1.65, "learning_rate": 0.0004225120261508637, "loss": 1.3624, "step": 1520 }, { "epoch": 1.65, "learning_rate": 0.0004197081238013602, "loss": 1.3231, "step": 1525 }, { "epoch": 1.66, "learning_rate": 0.0004169068108917924, "loss": 1.3807, "step": 1530 }, { "epoch": 1.66, "learning_rate": 0.0004141081777654412, "loss": 1.3301, "step": 1535 }, { "epoch": 1.67, "learning_rate": 0.0004113123146791633, "loss": 1.3032, "step": 1540 }, { "epoch": 1.67, "learning_rate": 0.000408519311800481, "loss": 1.2957, "step": 1545 }, { "epoch": 1.68, "learning_rate": 0.00040572925920467375, "loss": 1.3138, "step": 1550 }, { "epoch": 1.69, "learning_rate": 0.0004029422468718737, "loss": 1.2496, "step": 1555 }, { "epoch": 1.69, "learning_rate": 0.0004001583646841632, "loss": 1.3796, "step": 1560 }, { "epoch": 1.7, "learning_rate": 0.00039737770242267637, "loss": 1.3492, "step": 1565 }, { "epoch": 1.7, "learning_rate": 0.00039460034976470396, "loss": 1.3138, "step": 1570 }, { "epoch": 1.71, "learning_rate": 0.0003918263962808004, "loss": 1.3172, "step": 1575 }, { "epoch": 1.71, "learning_rate": 0.0003890559314318959, "loss": 1.3446, "step": 1580 }, { "epoch": 1.72, "learning_rate": 0.00038628904456641116, "loss": 1.3062, "step": 1585 }, { "epoch": 1.72, "learning_rate": 0.00038352582491737547, "loss": 1.2899, "step": 1590 }, { "epoch": 1.73, "learning_rate": 0.0003807663615995491, "loss": 1.2942, "step": 1595 }, { "epoch": 1.73, "learning_rate": 0.0003780107436065498, "loss": 1.2902, "step": 1600 }, { "epoch": 1.73, "eval_loss": 1.379552960395813, "eval_runtime": 10.6705, "eval_samples_per_second": 14.057, "eval_steps_per_second": 1.781, "step": 1600 }, { "epoch": 1.74, "learning_rate": 0.00037525905980798183, "loss": 1.3213, "step": 1605 }, { "epoch": 1.74, "learning_rate": 0.0003725113989465705, "loss": 1.2286, "step": 1610 }, { "epoch": 1.75, "learning_rate": 0.00036976784963530017, "loss": 1.3394, "step": 1615 }, { "epoch": 1.76, "learning_rate": 0.0003670285003545564, "loss": 1.2879, "step": 1620 }, { "epoch": 1.76, "learning_rate": 0.00036429343944927196, "loss": 1.3369, "step": 1625 }, { "epoch": 1.77, "learning_rate": 0.0003615627551260785, "loss": 1.3393, "step": 1630 }, { "epoch": 1.77, "learning_rate": 0.0003588365354504612, "loss": 1.3437, "step": 1635 }, { "epoch": 1.78, "learning_rate": 0.00035611486834391894, "loss": 1.2843, "step": 1640 }, { "epoch": 1.78, "learning_rate": 0.00035339784158112893, "loss": 1.3463, "step": 1645 }, { "epoch": 1.79, "learning_rate": 0.00035068554278711494, "loss": 1.2847, "step": 1650 }, { "epoch": 1.79, "learning_rate": 0.00034797805943442313, "loss": 1.2493, "step": 1655 }, { "epoch": 1.8, "learning_rate": 0.0003452754788402996, "loss": 1.3471, "step": 1660 }, { "epoch": 1.8, "learning_rate": 0.00034257788816387475, "loss": 1.2983, "step": 1665 }, { "epoch": 1.81, "learning_rate": 0.0003398853744033529, "loss": 1.3259, "step": 1670 }, { "epoch": 1.82, "learning_rate": 0.0003371980243932056, "loss": 1.333, "step": 1675 }, { "epoch": 1.82, "learning_rate": 0.00033451592480137195, "loss": 1.3071, "step": 1680 }, { "epoch": 1.83, "learning_rate": 0.00033183916212646346, "loss": 1.3238, "step": 1685 }, { "epoch": 1.83, "learning_rate": 0.0003291678226949741, "loss": 1.3129, "step": 1690 }, { "epoch": 1.84, "learning_rate": 0.0003265019926584964, "loss": 1.3235, "step": 1695 }, { "epoch": 1.84, "learning_rate": 0.00032384175799094297, "loss": 1.3016, "step": 1700 }, { "epoch": 1.84, "eval_loss": 1.3693352937698364, "eval_runtime": 10.6712, "eval_samples_per_second": 14.057, "eval_steps_per_second": 1.78, "step": 1700 }, { "epoch": 1.85, "learning_rate": 0.0003211872044857743, "loss": 1.2658, "step": 1705 }, { "epoch": 1.85, "learning_rate": 0.00031853841775323103, "loss": 1.274, "step": 1710 }, { "epoch": 1.86, "learning_rate": 0.00031589548321757366, "loss": 1.2629, "step": 1715 }, { "epoch": 1.86, "learning_rate": 0.0003132584861143274, "loss": 1.3052, "step": 1720 }, { "epoch": 1.87, "learning_rate": 0.0003106275114875332, "loss": 1.3099, "step": 1725 }, { "epoch": 1.87, "learning_rate": 0.0003080026441870051, "loss": 1.2878, "step": 1730 }, { "epoch": 1.88, "learning_rate": 0.00030538396886559393, "loss": 1.2815, "step": 1735 }, { "epoch": 1.89, "learning_rate": 0.00030277156997645706, "loss": 1.2896, "step": 1740 }, { "epoch": 1.89, "learning_rate": 0.00030016553177033466, "loss": 1.3545, "step": 1745 }, { "epoch": 1.9, "learning_rate": 0.0002975659382928332, "loss": 1.29, "step": 1750 }, { "epoch": 1.9, "learning_rate": 0.00029497287338171385, "loss": 1.3543, "step": 1755 }, { "epoch": 1.91, "learning_rate": 0.00029238642066418995, "loss": 1.3202, "step": 1760 }, { "epoch": 1.91, "learning_rate": 0.0002898066635542288, "loss": 1.3261, "step": 1765 }, { "epoch": 1.92, "learning_rate": 0.0002872336852498627, "loss": 1.2256, "step": 1770 }, { "epoch": 1.92, "learning_rate": 0.0002846675687305045, "loss": 1.3423, "step": 1775 }, { "epoch": 1.93, "learning_rate": 0.0002821083967542727, "loss": 1.2896, "step": 1780 }, { "epoch": 1.93, "learning_rate": 0.00027955625185532217, "loss": 1.2312, "step": 1785 }, { "epoch": 1.94, "learning_rate": 0.00027701121634118143, "loss": 1.2822, "step": 1790 }, { "epoch": 1.95, "learning_rate": 0.00027447337229009937, "loss": 1.319, "step": 1795 }, { "epoch": 1.95, "learning_rate": 0.00027194280154839824, "loss": 1.3727, "step": 1800 }, { "epoch": 1.95, "eval_loss": 1.3620151281356812, "eval_runtime": 10.671, "eval_samples_per_second": 14.057, "eval_steps_per_second": 1.781, "step": 1800 }, { "epoch": 1.96, "learning_rate": 0.0002694195857278326, "loss": 1.251, "step": 1805 }, { "epoch": 1.96, "learning_rate": 0.0002669038062029592, "loss": 1.2324, "step": 1810 }, { "epoch": 1.97, "learning_rate": 0.0002643955441085115, "loss": 1.2644, "step": 1815 }, { "epoch": 1.97, "learning_rate": 0.000261894880336783, "loss": 1.2582, "step": 1820 }, { "epoch": 1.98, "learning_rate": 0.0002594018955350191, "loss": 1.3433, "step": 1825 }, { "epoch": 1.98, "learning_rate": 0.00025691667010281616, "loss": 1.3069, "step": 1830 }, { "epoch": 1.99, "learning_rate": 0.00025443928418952724, "loss": 1.2895, "step": 1835 }, { "epoch": 1.99, "learning_rate": 0.0002519698176916791, "loss": 1.2799, "step": 1840 }, { "epoch": 2.0, "learning_rate": 0.000249508350250395, "loss": 1.3044, "step": 1845 }, { "epoch": 2.0, "learning_rate": 0.0002470549612488247, "loss": 1.2324, "step": 1850 }, { "epoch": 2.01, "learning_rate": 0.0002446097298095867, "loss": 1.2357, "step": 1855 }, { "epoch": 2.02, "learning_rate": 0.00024217273479221514, "loss": 1.2329, "step": 1860 }, { "epoch": 2.02, "learning_rate": 0.00023974405479061623, "loss": 1.2486, "step": 1865 }, { "epoch": 2.03, "learning_rate": 0.0002373237681305348, "loss": 1.1959, "step": 1870 }, { "epoch": 2.03, "learning_rate": 0.00023491195286702777, "loss": 1.2485, "step": 1875 }, { "epoch": 2.04, "learning_rate": 0.00023250868678194536, "loss": 1.2585, "step": 1880 }, { "epoch": 2.04, "learning_rate": 0.00023011404738142532, "loss": 1.2108, "step": 1885 }, { "epoch": 2.05, "learning_rate": 0.0002277281118933916, "loss": 1.188, "step": 1890 }, { "epoch": 2.05, "learning_rate": 0.00022535095726506344, "loss": 1.2197, "step": 1895 }, { "epoch": 2.06, "learning_rate": 0.00022298266016047513, "loss": 1.1352, "step": 1900 }, { "epoch": 2.06, "eval_loss": 1.3637186288833618, "eval_runtime": 10.671, "eval_samples_per_second": 14.057, "eval_steps_per_second": 1.781, "step": 1900 }, { "epoch": 2.06, "learning_rate": 0.0002206232969580027, "loss": 1.2265, "step": 1905 }, { "epoch": 2.07, "learning_rate": 0.00021827294374790034, "loss": 1.2631, "step": 1910 }, { "epoch": 2.08, "learning_rate": 0.00021593167632984756, "loss": 1.1309, "step": 1915 }, { "epoch": 2.08, "learning_rate": 0.00021359957021050392, "loss": 1.2877, "step": 1920 }, { "epoch": 2.09, "learning_rate": 0.00021127670060107362, "loss": 1.2993, "step": 1925 }, { "epoch": 2.09, "learning_rate": 0.00020896314241488075, "loss": 1.2244, "step": 1930 }, { "epoch": 2.1, "learning_rate": 0.0002066589702649529, "loss": 1.1812, "step": 1935 }, { "epoch": 2.1, "learning_rate": 0.00020436425846161437, "loss": 1.2113, "step": 1940 }, { "epoch": 2.11, "learning_rate": 0.00020207908101009054, "loss": 1.1754, "step": 1945 }, { "epoch": 2.11, "learning_rate": 0.00019980351160812083, "loss": 1.1897, "step": 1950 }, { "epoch": 2.12, "learning_rate": 0.0001975376236435813, "loss": 1.1978, "step": 1955 }, { "epoch": 2.12, "learning_rate": 0.00019528149019211883, "loss": 1.1937, "step": 1960 }, { "epoch": 2.13, "learning_rate": 0.00019303518401479414, "loss": 1.2093, "step": 1965 }, { "epoch": 2.13, "learning_rate": 0.00019079877755573442, "loss": 1.2119, "step": 1970 }, { "epoch": 2.14, "learning_rate": 0.0001885723429397983, "loss": 1.1933, "step": 1975 }, { "epoch": 2.15, "learning_rate": 0.00018635595197024886, "loss": 1.2046, "step": 1980 }, { "epoch": 2.15, "learning_rate": 0.00018414967612643814, "loss": 1.1605, "step": 1985 }, { "epoch": 2.16, "learning_rate": 0.0001819535865615018, "loss": 1.1764, "step": 1990 }, { "epoch": 2.16, "learning_rate": 0.00017976775410006508, "loss": 1.2094, "step": 1995 }, { "epoch": 2.17, "learning_rate": 0.000177592249235958, "loss": 1.146, "step": 2000 }, { "epoch": 2.17, "eval_loss": 1.3614530563354492, "eval_runtime": 10.6711, "eval_samples_per_second": 14.057, "eval_steps_per_second": 1.781, "step": 2000 } ], "logging_steps": 5, "max_steps": 2766, "num_train_epochs": 3, "save_steps": 100, "total_flos": 6.59320832262144e+17, "trial_name": null, "trial_params": null }