diff --git "a/last-checkpoint/trainer_state.json" "b/last-checkpoint/trainer_state.json" new file mode 100644--- /dev/null +++ "b/last-checkpoint/trainer_state.json" @@ -0,0 +1,6056 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9719117504130625, + "global_step": 5000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 0.000224999999151214, + "loss": 0.6016, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 0.00022499999570302102, + "loss": 0.584, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 0.00022499998960237195, + "loss": 0.5738, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 0.00022499998084926694, + "loss": 0.5683, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 0.00022499996944370622, + "loss": 0.5583, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 0.00022499995538569008, + "loss": 0.5523, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 0.00022499993867521888, + "loss": 0.5533, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 0.00022499991931229302, + "loss": 0.5478, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 0.00022499989729691294, + "loss": 0.542, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 0.00022499987262907924, + "loss": 0.537, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002249998453087925, + "loss": 0.545, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 0.00022499981533605342, + "loss": 0.5385, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002249997827108627, + "loss": 0.5295, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 0.00022499974743322114, + "loss": 0.5302, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002249997095031297, + "loss": 0.5341, + "step": 75 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002249996689205892, + "loss": 0.5324, + "step": 80 + }, + { + "epoch": 0.02, + "learning_rate": 0.00022499963454479418, + "loss": 0.585, + "step": 85 + }, + { + "epoch": 0.02, + "learning_rate": 0.00022499958918784804, + "loss": 0.53, + "step": 90 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002249995411784559, + "loss": 0.5247, + "step": 95 + }, + { + "epoch": 0.02, + "learning_rate": 0.00022499949051661884, + "loss": 0.5205, + "step": 100 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002249994372023382, + "loss": 0.5262, + "step": 105 + }, + { + "epoch": 0.02, + "learning_rate": 0.00022499938123561527, + "loss": 0.5229, + "step": 110 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002249993226164514, + "loss": 0.5213, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002249992613448481, + "loss": 0.5204, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 0.00022499919742080687, + "loss": 0.5208, + "step": 125 + }, + { + "epoch": 0.03, + "learning_rate": 0.00022499913084432925, + "loss": 0.5201, + "step": 130 + }, + { + "epoch": 0.03, + "learning_rate": 0.00022499906161541688, + "loss": 0.5203, + "step": 135 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002249989897340715, + "loss": 0.5217, + "step": 140 + }, + { + "epoch": 0.03, + "learning_rate": 0.00022499891520029482, + "loss": 0.5224, + "step": 145 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002249988380140888, + "loss": 0.5235, + "step": 150 + }, + { + "epoch": 0.03, + "learning_rate": 0.00022499875817545524, + "loss": 0.5158, + "step": 155 + }, + { + "epoch": 0.03, + "learning_rate": 0.00022499867568439615, + "loss": 0.5186, + "step": 160 + }, + { + "epoch": 0.03, + "learning_rate": 0.00022499859054091355, + "loss": 0.5166, + "step": 165 + }, + { + "epoch": 0.03, + "learning_rate": 0.00022499850274500954, + "loss": 0.5165, + "step": 170 + }, + { + "epoch": 0.03, + "learning_rate": 0.00022499841229668634, + "loss": 0.5241, + "step": 175 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002249983191959461, + "loss": 0.5134, + "step": 180 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002249982428056152, + "loss": 0.5743, + "step": 185 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002249981449305302, + "loss": 0.5115, + "step": 190 + }, + { + "epoch": 0.04, + "learning_rate": 0.00022499804440303481, + "loss": 0.5178, + "step": 195 + }, + { + "epoch": 0.04, + "learning_rate": 0.00022499794122313147, + "loss": 0.5104, + "step": 200 + }, + { + "epoch": 0.04, + "learning_rate": 0.00022499783539082276, + "loss": 0.5112, + "step": 205 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002249977269061113, + "loss": 0.5076, + "step": 210 + }, + { + "epoch": 0.04, + "learning_rate": 0.00022499761576899973, + "loss": 0.5136, + "step": 215 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002249975019794908, + "loss": 0.5144, + "step": 220 + }, + { + "epoch": 0.04, + "learning_rate": 0.00022499738553758734, + "loss": 0.5126, + "step": 225 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002249972664432922, + "loss": 0.5077, + "step": 230 + }, + { + "epoch": 0.05, + "learning_rate": 0.00022499714469660837, + "loss": 0.509, + "step": 235 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002249970202975388, + "loss": 0.5099, + "step": 240 + }, + { + "epoch": 0.05, + "learning_rate": 0.00022499689324608654, + "loss": 0.5107, + "step": 245 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002249967635422548, + "loss": 0.504, + "step": 250 + }, + { + "epoch": 0.05, + "learning_rate": 0.00022499663118604672, + "loss": 0.5088, + "step": 255 + }, + { + "epoch": 0.05, + "learning_rate": 0.00022499649617746555, + "loss": 0.507, + "step": 260 + }, + { + "epoch": 0.05, + "learning_rate": 0.00022499635851651472, + "loss": 0.5103, + "step": 265 + }, + { + "epoch": 0.05, + "learning_rate": 0.00022499621820319752, + "loss": 0.5101, + "step": 270 + }, + { + "epoch": 0.05, + "learning_rate": 0.00022499607523751748, + "loss": 0.5053, + "step": 275 + }, + { + "epoch": 0.05, + "learning_rate": 0.00022499592961947807, + "loss": 0.5121, + "step": 280 + }, + { + "epoch": 0.06, + "learning_rate": 0.00022499578134908292, + "loss": 0.5132, + "step": 285 + }, + { + "epoch": 0.06, + "learning_rate": 0.00022499563042633575, + "loss": 0.508, + "step": 290 + }, + { + "epoch": 0.06, + "learning_rate": 0.00022499547685124013, + "loss": 0.5034, + "step": 295 + }, + { + "epoch": 0.06, + "learning_rate": 0.00022499532062379997, + "loss": 0.5014, + "step": 300 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002249951617440191, + "loss": 0.5055, + "step": 305 + }, + { + "epoch": 0.06, + "learning_rate": 0.00022499500021190143, + "loss": 0.5057, + "step": 310 + }, + { + "epoch": 0.06, + "learning_rate": 0.00022499483602745094, + "loss": 0.5052, + "step": 315 + }, + { + "epoch": 0.06, + "learning_rate": 0.00022499466919067172, + "loss": 0.5086, + "step": 320 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002249944997015678, + "loss": 0.5058, + "step": 325 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002249943275601435, + "loss": 0.5092, + "step": 330 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002249941527664029, + "loss": 0.5019, + "step": 335 + }, + { + "epoch": 0.07, + "learning_rate": 0.00022499397532035043, + "loss": 0.4976, + "step": 340 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002249937952219904, + "loss": 0.5052, + "step": 345 + }, + { + "epoch": 0.07, + "learning_rate": 0.00022499361247132736, + "loss": 0.5051, + "step": 350 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002249934270683657, + "loss": 0.5002, + "step": 355 + }, + { + "epoch": 0.07, + "learning_rate": 0.00022499323901311005, + "loss": 0.504, + "step": 360 + }, + { + "epoch": 0.07, + "learning_rate": 0.00022499304830556505, + "loss": 0.4937, + "step": 365 + }, + { + "epoch": 0.07, + "learning_rate": 0.00022499285494573539, + "loss": 0.5066, + "step": 370 + }, + { + "epoch": 0.07, + "learning_rate": 0.00022499265893362587, + "loss": 0.5054, + "step": 375 + }, + { + "epoch": 0.07, + "learning_rate": 0.00022499246026924126, + "loss": 0.5081, + "step": 380 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002249922589525866, + "loss": 0.5025, + "step": 385 + }, + { + "epoch": 0.08, + "learning_rate": 0.00022499205498366666, + "loss": 0.499, + "step": 390 + }, + { + "epoch": 0.08, + "learning_rate": 0.00022499184836248664, + "loss": 0.5034, + "step": 395 + }, + { + "epoch": 0.08, + "learning_rate": 0.00022499163908905155, + "loss": 0.4987, + "step": 400 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002249914271633666, + "loss": 0.4984, + "step": 405 + }, + { + "epoch": 0.08, + "learning_rate": 0.00022499121258543698, + "loss": 0.4968, + "step": 410 + }, + { + "epoch": 0.08, + "learning_rate": 0.00022499099535526801, + "loss": 0.4976, + "step": 415 + }, + { + "epoch": 0.08, + "learning_rate": 0.00022499077547286507, + "loss": 0.5024, + "step": 420 + }, + { + "epoch": 0.08, + "learning_rate": 0.00022499055293823353, + "loss": 0.4972, + "step": 425 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002249903277513789, + "loss": 0.5025, + "step": 430 + }, + { + "epoch": 0.08, + "learning_rate": 0.00022499009991230675, + "loss": 0.4984, + "step": 435 + }, + { + "epoch": 0.09, + "learning_rate": 0.00022498986942102273, + "loss": 0.5012, + "step": 440 + }, + { + "epoch": 0.09, + "learning_rate": 0.00022498963627753244, + "loss": 0.4983, + "step": 445 + }, + { + "epoch": 0.09, + "learning_rate": 0.00022498940048184174, + "loss": 0.5045, + "step": 450 + }, + { + "epoch": 0.09, + "learning_rate": 0.00022498916203395639, + "loss": 0.4942, + "step": 455 + }, + { + "epoch": 0.09, + "learning_rate": 0.00022498892093388224, + "loss": 0.4962, + "step": 460 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002249886771816253, + "loss": 0.4984, + "step": 465 + }, + { + "epoch": 0.09, + "learning_rate": 0.00022498843077719158, + "loss": 0.5033, + "step": 470 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002249881817205871, + "loss": 0.5009, + "step": 475 + }, + { + "epoch": 0.09, + "learning_rate": 0.00022498793001181808, + "loss": 0.501, + "step": 480 + }, + { + "epoch": 0.09, + "learning_rate": 0.00022498767565089068, + "loss": 0.4931, + "step": 485 + }, + { + "epoch": 0.1, + "learning_rate": 0.00022498741863781122, + "loss": 0.4937, + "step": 490 + }, + { + "epoch": 0.1, + "learning_rate": 0.000224987158972586, + "loss": 0.5013, + "step": 495 + }, + { + "epoch": 0.1, + "learning_rate": 0.00022498689665522144, + "loss": 0.4987, + "step": 500 + }, + { + "epoch": 0.1, + "learning_rate": 0.000224986631685724, + "loss": 0.5003, + "step": 505 + }, + { + "epoch": 0.1, + "learning_rate": 0.00022498636406410025, + "loss": 0.4955, + "step": 510 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002249860937903568, + "loss": 0.4928, + "step": 515 + }, + { + "epoch": 0.1, + "learning_rate": 0.00022498582086450026, + "loss": 0.5013, + "step": 520 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002249855452865374, + "loss": 0.4974, + "step": 525 + }, + { + "epoch": 0.1, + "learning_rate": 0.00022498526705647505, + "loss": 0.5018, + "step": 530 + }, + { + "epoch": 0.1, + "learning_rate": 0.00022498498617431998, + "loss": 0.4971, + "step": 535 + }, + { + "epoch": 0.1, + "learning_rate": 0.00022498470264007922, + "loss": 0.5024, + "step": 540 + }, + { + "epoch": 0.11, + "learning_rate": 0.00022498441645375976, + "loss": 0.4977, + "step": 545 + }, + { + "epoch": 0.11, + "learning_rate": 0.00022498412761536862, + "loss": 0.4974, + "step": 550 + }, + { + "epoch": 0.11, + "learning_rate": 0.00022498383612491287, + "loss": 0.4964, + "step": 555 + }, + { + "epoch": 0.11, + "learning_rate": 0.00022498354198239985, + "loss": 0.495, + "step": 560 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002249832451878367, + "loss": 0.495, + "step": 565 + }, + { + "epoch": 0.11, + "learning_rate": 0.00022498294574123078, + "loss": 0.5012, + "step": 570 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002249826436425895, + "loss": 0.4973, + "step": 575 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002249823388919203, + "loss": 0.4913, + "step": 580 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002249820314892307, + "loss": 0.4886, + "step": 585 + }, + { + "epoch": 0.11, + "learning_rate": 0.00022498172143452824, + "loss": 0.4887, + "step": 590 + }, + { + "epoch": 0.12, + "learning_rate": 0.00022498140872782062, + "loss": 0.4916, + "step": 595 + }, + { + "epoch": 0.12, + "learning_rate": 0.00022498109336911555, + "loss": 0.4936, + "step": 600 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002249807753584208, + "loss": 0.4893, + "step": 605 + }, + { + "epoch": 0.12, + "learning_rate": 0.00022498045469574422, + "loss": 0.49, + "step": 610 + }, + { + "epoch": 0.12, + "learning_rate": 0.00022498013138109373, + "loss": 0.4932, + "step": 615 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002249798054144773, + "loss": 0.4942, + "step": 620 + }, + { + "epoch": 0.12, + "learning_rate": 0.000224979476795903, + "loss": 0.4933, + "step": 625 + }, + { + "epoch": 0.12, + "learning_rate": 0.00022497914552537885, + "loss": 0.4922, + "step": 630 + }, + { + "epoch": 0.12, + "learning_rate": 0.00022497881160291313, + "loss": 0.4902, + "step": 635 + }, + { + "epoch": 0.12, + "learning_rate": 0.00022497847502851406, + "loss": 0.4892, + "step": 640 + }, + { + "epoch": 0.13, + "learning_rate": 0.00022497813580218986, + "loss": 0.4867, + "step": 645 + }, + { + "epoch": 0.13, + "learning_rate": 0.000224977793923949, + "loss": 0.4894, + "step": 650 + }, + { + "epoch": 0.13, + "learning_rate": 0.00022497744939379985, + "loss": 0.4977, + "step": 655 + }, + { + "epoch": 0.13, + "learning_rate": 0.00022497710221175098, + "loss": 0.4925, + "step": 660 + }, + { + "epoch": 0.13, + "learning_rate": 0.00022497675237781087, + "loss": 0.4931, + "step": 665 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002249763998919882, + "loss": 0.4955, + "step": 670 + }, + { + "epoch": 0.13, + "learning_rate": 0.00022497604475429169, + "loss": 0.4956, + "step": 675 + }, + { + "epoch": 0.13, + "learning_rate": 0.00022497568696473004, + "loss": 0.4974, + "step": 680 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002249753265233121, + "loss": 0.4931, + "step": 685 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002249749634300468, + "loss": 0.495, + "step": 690 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002249745976849431, + "loss": 0.4972, + "step": 695 + }, + { + "epoch": 0.14, + "learning_rate": 0.00022497422928800998, + "loss": 0.4888, + "step": 700 + }, + { + "epoch": 0.14, + "learning_rate": 0.00022497385823925655, + "loss": 0.4908, + "step": 705 + }, + { + "epoch": 0.14, + "learning_rate": 0.00022497348453869197, + "loss": 0.4923, + "step": 710 + }, + { + "epoch": 0.14, + "learning_rate": 0.00022497310818632543, + "loss": 0.4957, + "step": 715 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002249727291821663, + "loss": 0.493, + "step": 720 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002249723475262238, + "loss": 0.4949, + "step": 725 + }, + { + "epoch": 0.14, + "learning_rate": 0.00022497196321850745, + "loss": 0.4899, + "step": 730 + }, + { + "epoch": 0.14, + "learning_rate": 0.00022497157625902671, + "loss": 0.49, + "step": 735 + }, + { + "epoch": 0.14, + "learning_rate": 0.00022497118664779113, + "loss": 0.4941, + "step": 740 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002249707943848103, + "loss": 0.4902, + "step": 745 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002249703994700939, + "loss": 0.489, + "step": 750 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002249700019036517, + "loss": 0.4925, + "step": 755 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002249696016854935, + "loss": 0.4924, + "step": 760 + }, + { + "epoch": 0.15, + "learning_rate": 0.00022496919881562916, + "loss": 0.4868, + "step": 765 + }, + { + "epoch": 0.15, + "learning_rate": 0.00022496879329406865, + "loss": 0.4935, + "step": 770 + }, + { + "epoch": 0.15, + "learning_rate": 0.00022496838512082193, + "loss": 0.4956, + "step": 775 + }, + { + "epoch": 0.15, + "learning_rate": 0.00022496797429589913, + "loss": 0.4892, + "step": 780 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002249675608193103, + "loss": 0.4921, + "step": 785 + }, + { + "epoch": 0.15, + "learning_rate": 0.00022496714469106576, + "loss": 0.4915, + "step": 790 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002249667259111757, + "loss": 0.4881, + "step": 795 + }, + { + "epoch": 0.16, + "learning_rate": 0.00022496630447965045, + "loss": 0.4856, + "step": 800 + }, + { + "epoch": 0.16, + "learning_rate": 0.00022496588039650042, + "loss": 0.4896, + "step": 805 + }, + { + "epoch": 0.16, + "learning_rate": 0.00022496545366173612, + "loss": 0.4858, + "step": 810 + }, + { + "epoch": 0.16, + "learning_rate": 0.000224965024275368, + "loss": 0.4856, + "step": 815 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002249645922374067, + "loss": 0.4887, + "step": 820 + }, + { + "epoch": 0.16, + "learning_rate": 0.00022496415754786288, + "loss": 0.4897, + "step": 825 + }, + { + "epoch": 0.16, + "learning_rate": 0.00022496372020674727, + "loss": 0.4885, + "step": 830 + }, + { + "epoch": 0.16, + "learning_rate": 0.00022496328021407065, + "loss": 0.4882, + "step": 835 + }, + { + "epoch": 0.16, + "learning_rate": 0.00022496283756984385, + "loss": 0.485, + "step": 840 + }, + { + "epoch": 0.16, + "learning_rate": 0.00022496239227407785, + "loss": 0.4848, + "step": 845 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002249619443267836, + "loss": 0.4904, + "step": 850 + }, + { + "epoch": 0.17, + "learning_rate": 0.00022496149372797214, + "loss": 0.4882, + "step": 855 + }, + { + "epoch": 0.17, + "learning_rate": 0.00022496104047765462, + "loss": 0.4926, + "step": 860 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002249605845758422, + "loss": 0.4949, + "step": 865 + }, + { + "epoch": 0.17, + "learning_rate": 0.00022496012602254617, + "loss": 0.4882, + "step": 870 + }, + { + "epoch": 0.17, + "learning_rate": 0.00022495966481777779, + "loss": 0.4892, + "step": 875 + }, + { + "epoch": 0.17, + "learning_rate": 0.00022495920096154848, + "loss": 0.491, + "step": 880 + }, + { + "epoch": 0.17, + "learning_rate": 0.00022495873445386964, + "loss": 0.4881, + "step": 885 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002249582652947528, + "loss": 0.4927, + "step": 890 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002249577934842096, + "loss": 0.4921, + "step": 895 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002249573190222516, + "loss": 0.4855, + "step": 900 + }, + { + "epoch": 0.18, + "learning_rate": 0.00022495684190889054, + "loss": 0.4812, + "step": 905 + }, + { + "epoch": 0.18, + "learning_rate": 0.00022495636214413817, + "loss": 0.4864, + "step": 910 + }, + { + "epoch": 0.18, + "learning_rate": 0.00022495587972800633, + "loss": 0.487, + "step": 915 + }, + { + "epoch": 0.18, + "learning_rate": 0.00022495539466050696, + "loss": 0.491, + "step": 920 + }, + { + "epoch": 0.18, + "learning_rate": 0.00022495490694165202, + "loss": 0.4901, + "step": 925 + }, + { + "epoch": 0.18, + "learning_rate": 0.00022495441657145352, + "loss": 0.4866, + "step": 930 + }, + { + "epoch": 0.18, + "learning_rate": 0.00022495392354992356, + "loss": 0.4817, + "step": 935 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002249534278770743, + "loss": 0.4895, + "step": 940 + }, + { + "epoch": 0.18, + "learning_rate": 0.00022495292955291798, + "loss": 0.4848, + "step": 945 + }, + { + "epoch": 0.18, + "learning_rate": 0.00022495242857746694, + "loss": 0.4885, + "step": 950 + }, + { + "epoch": 0.19, + "learning_rate": 0.00022495192495073345, + "loss": 0.49, + "step": 955 + }, + { + "epoch": 0.19, + "learning_rate": 0.00022495141867273004, + "loss": 0.4827, + "step": 960 + }, + { + "epoch": 0.19, + "learning_rate": 0.00022495090974346914, + "loss": 0.4891, + "step": 965 + }, + { + "epoch": 0.19, + "learning_rate": 0.00022495039816296329, + "loss": 0.487, + "step": 970 + }, + { + "epoch": 0.19, + "learning_rate": 0.00022494988393122512, + "loss": 0.4817, + "step": 975 + }, + { + "epoch": 0.19, + "learning_rate": 0.00022494936704826735, + "loss": 0.4882, + "step": 980 + }, + { + "epoch": 0.19, + "learning_rate": 0.00022494884751410278, + "loss": 0.4902, + "step": 985 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002249483253287441, + "loss": 0.4895, + "step": 990 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002249478004922043, + "loss": 0.4875, + "step": 995 + }, + { + "epoch": 0.19, + "learning_rate": 0.00022494727300449626, + "loss": 0.4884, + "step": 1000 + }, + { + "epoch": 0.19, + "eval_loss": 0.4691707491874695, + "eval_runtime": 43.4799, + "eval_samples_per_second": 114.996, + "eval_steps_per_second": 1.219, + "step": 1000 + }, + { + "epoch": 0.2, + "learning_rate": 0.00022494674286563306, + "loss": 0.4873, + "step": 1005 + }, + { + "epoch": 0.2, + "learning_rate": 0.00022494621007562775, + "loss": 0.4817, + "step": 1010 + }, + { + "epoch": 0.2, + "learning_rate": 0.00022494567463449347, + "loss": 0.4837, + "step": 1015 + }, + { + "epoch": 0.2, + "learning_rate": 0.00022494513654224344, + "loss": 0.4838, + "step": 1020 + }, + { + "epoch": 0.2, + "learning_rate": 0.00022494459579889092, + "loss": 0.4811, + "step": 1025 + }, + { + "epoch": 0.2, + "learning_rate": 0.00022494405240444928, + "loss": 0.4861, + "step": 1030 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002249435063589319, + "loss": 0.4899, + "step": 1035 + }, + { + "epoch": 0.2, + "learning_rate": 0.00022494295766235228, + "loss": 0.4885, + "step": 1040 + }, + { + "epoch": 0.2, + "learning_rate": 0.00022494240631472395, + "loss": 0.4931, + "step": 1045 + }, + { + "epoch": 0.2, + "learning_rate": 0.00022494185231606052, + "loss": 0.4927, + "step": 1050 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002249412956663756, + "loss": 0.4902, + "step": 1055 + }, + { + "epoch": 0.21, + "learning_rate": 0.00022494073636568303, + "loss": 0.4835, + "step": 1060 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002249401744139965, + "loss": 0.4852, + "step": 1065 + }, + { + "epoch": 0.21, + "learning_rate": 0.00022493960981132997, + "loss": 0.4803, + "step": 1070 + }, + { + "epoch": 0.21, + "learning_rate": 0.00022493904255769734, + "loss": 0.4822, + "step": 1075 + }, + { + "epoch": 0.21, + "learning_rate": 0.00022493847265311258, + "loss": 0.4811, + "step": 1080 + }, + { + "epoch": 0.21, + "learning_rate": 0.00022493790009758978, + "loss": 0.4871, + "step": 1085 + }, + { + "epoch": 0.21, + "learning_rate": 0.00022493732489114305, + "loss": 0.4793, + "step": 1090 + }, + { + "epoch": 0.21, + "learning_rate": 0.00022493674703378657, + "loss": 0.4906, + "step": 1095 + }, + { + "epoch": 0.21, + "learning_rate": 0.00022493616652553462, + "loss": 0.484, + "step": 1100 + }, + { + "epoch": 0.21, + "learning_rate": 0.00022493558336640152, + "loss": 0.484, + "step": 1105 + }, + { + "epoch": 0.22, + "learning_rate": 0.00022493499755640167, + "loss": 0.4884, + "step": 1110 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002249344090955495, + "loss": 0.488, + "step": 1115 + }, + { + "epoch": 0.22, + "learning_rate": 0.00022493381798385957, + "loss": 0.4821, + "step": 1120 + }, + { + "epoch": 0.22, + "learning_rate": 0.00022493322422134643, + "loss": 0.4865, + "step": 1125 + }, + { + "epoch": 0.22, + "learning_rate": 0.00022493262780802473, + "loss": 0.4835, + "step": 1130 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002249320287439092, + "loss": 0.4817, + "step": 1135 + }, + { + "epoch": 0.22, + "learning_rate": 0.00022493142702901463, + "loss": 0.4863, + "step": 1140 + }, + { + "epoch": 0.22, + "learning_rate": 0.00022493082266335582, + "loss": 0.4834, + "step": 1145 + }, + { + "epoch": 0.22, + "learning_rate": 0.00022493021564694776, + "loss": 0.4832, + "step": 1150 + }, + { + "epoch": 0.22, + "learning_rate": 0.00022492960597980533, + "loss": 0.4839, + "step": 1155 + }, + { + "epoch": 0.23, + "learning_rate": 0.00022492899366194366, + "loss": 0.482, + "step": 1160 + }, + { + "epoch": 0.23, + "learning_rate": 0.00022492837869337782, + "loss": 0.4868, + "step": 1165 + }, + { + "epoch": 0.23, + "learning_rate": 0.00022492776107412298, + "loss": 0.4908, + "step": 1170 + }, + { + "epoch": 0.23, + "learning_rate": 0.00022492714080419438, + "loss": 0.4797, + "step": 1175 + }, + { + "epoch": 0.23, + "learning_rate": 0.00022492651788360736, + "loss": 0.4793, + "step": 1180 + }, + { + "epoch": 0.23, + "learning_rate": 0.00022492589231237723, + "loss": 0.4825, + "step": 1185 + }, + { + "epoch": 0.23, + "learning_rate": 0.00022492526409051945, + "loss": 0.4866, + "step": 1190 + }, + { + "epoch": 0.23, + "learning_rate": 0.00022492463321804957, + "loss": 0.4808, + "step": 1195 + }, + { + "epoch": 0.23, + "learning_rate": 0.00022492399969498307, + "loss": 0.4825, + "step": 1200 + }, + { + "epoch": 0.23, + "learning_rate": 0.00022492336352133565, + "loss": 0.48, + "step": 1205 + }, + { + "epoch": 0.24, + "learning_rate": 0.000224922724697123, + "loss": 0.4804, + "step": 1210 + }, + { + "epoch": 0.24, + "learning_rate": 0.00022492208322236085, + "loss": 0.483, + "step": 1215 + }, + { + "epoch": 0.24, + "learning_rate": 0.000224921439097065, + "loss": 0.4833, + "step": 1220 + }, + { + "epoch": 0.24, + "learning_rate": 0.00022492079232125142, + "loss": 0.4829, + "step": 1225 + }, + { + "epoch": 0.24, + "learning_rate": 0.00022492014289493604, + "loss": 0.4849, + "step": 1230 + }, + { + "epoch": 0.24, + "learning_rate": 0.00022491949081813485, + "loss": 0.4843, + "step": 1235 + }, + { + "epoch": 0.24, + "learning_rate": 0.000224918836090864, + "loss": 0.4795, + "step": 1240 + }, + { + "epoch": 0.24, + "learning_rate": 0.00022491817871313961, + "loss": 0.4814, + "step": 1245 + }, + { + "epoch": 0.24, + "learning_rate": 0.00022491751868497788, + "loss": 0.4825, + "step": 1250 + }, + { + "epoch": 0.24, + "learning_rate": 0.00022491685600639513, + "loss": 0.4819, + "step": 1255 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002249161906774077, + "loss": 0.4822, + "step": 1260 + }, + { + "epoch": 0.25, + "learning_rate": 0.000224915522698032, + "loss": 0.4798, + "step": 1265 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002249148520682845, + "loss": 0.4846, + "step": 1270 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002249141787881818, + "loss": 0.4793, + "step": 1275 + }, + { + "epoch": 0.25, + "learning_rate": 0.00022491350285774045, + "loss": 0.4789, + "step": 1280 + }, + { + "epoch": 0.25, + "learning_rate": 0.00022491282427697718, + "loss": 0.4823, + "step": 1285 + }, + { + "epoch": 0.25, + "learning_rate": 0.00022491214304590866, + "loss": 0.4847, + "step": 1290 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002249114591645518, + "loss": 0.4852, + "step": 1295 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002249107726329234, + "loss": 0.4807, + "step": 1300 + }, + { + "epoch": 0.25, + "learning_rate": 0.00022491008345104042, + "loss": 0.477, + "step": 1305 + }, + { + "epoch": 0.25, + "learning_rate": 0.00022490939161891983, + "loss": 0.4827, + "step": 1310 + }, + { + "epoch": 0.26, + "learning_rate": 0.00022490869713657878, + "loss": 0.4836, + "step": 1315 + }, + { + "epoch": 0.26, + "learning_rate": 0.00022490800000403435, + "loss": 0.4895, + "step": 1320 + }, + { + "epoch": 0.26, + "learning_rate": 0.00022490730022130373, + "loss": 0.4808, + "step": 1325 + }, + { + "epoch": 0.26, + "learning_rate": 0.00022490659778840423, + "loss": 0.4782, + "step": 1330 + }, + { + "epoch": 0.26, + "learning_rate": 0.00022490589270535315, + "loss": 0.488, + "step": 1335 + }, + { + "epoch": 0.26, + "learning_rate": 0.00022490518497216792, + "loss": 0.4777, + "step": 1340 + }, + { + "epoch": 0.26, + "learning_rate": 0.00022490447458886593, + "loss": 0.4817, + "step": 1345 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002249037615554648, + "loss": 0.4813, + "step": 1350 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002249030458719821, + "loss": 0.4794, + "step": 1355 + }, + { + "epoch": 0.26, + "learning_rate": 0.00022490232753843542, + "loss": 0.4872, + "step": 1360 + }, + { + "epoch": 0.27, + "learning_rate": 0.00022490160655484255, + "loss": 0.4721, + "step": 1365 + }, + { + "epoch": 0.27, + "learning_rate": 0.00022490088292122126, + "loss": 0.4778, + "step": 1370 + }, + { + "epoch": 0.27, + "learning_rate": 0.00022490015663758942, + "loss": 0.474, + "step": 1375 + }, + { + "epoch": 0.27, + "learning_rate": 0.00022489942770396494, + "loss": 0.4731, + "step": 1380 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002248986961203658, + "loss": 0.4766, + "step": 1385 + }, + { + "epoch": 0.27, + "learning_rate": 0.00022489796188681006, + "loss": 0.4825, + "step": 1390 + }, + { + "epoch": 0.27, + "learning_rate": 0.00022489722500331584, + "loss": 0.479, + "step": 1395 + }, + { + "epoch": 0.27, + "learning_rate": 0.00022489648546990127, + "loss": 0.479, + "step": 1400 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002248957432865847, + "loss": 0.486, + "step": 1405 + }, + { + "epoch": 0.27, + "learning_rate": 0.00022489499845338435, + "loss": 0.4809, + "step": 1410 + }, + { + "epoch": 0.28, + "learning_rate": 0.00022489425097031862, + "loss": 0.4761, + "step": 1415 + }, + { + "epoch": 0.28, + "learning_rate": 0.000224893500837406, + "loss": 0.4784, + "step": 1420 + }, + { + "epoch": 0.28, + "learning_rate": 0.00022489274805466495, + "loss": 0.4867, + "step": 1425 + }, + { + "epoch": 0.28, + "learning_rate": 0.00022489199262211407, + "loss": 0.4772, + "step": 1430 + }, + { + "epoch": 0.28, + "learning_rate": 0.00022489123453977195, + "loss": 0.4805, + "step": 1435 + }, + { + "epoch": 0.28, + "learning_rate": 0.00022489047380765736, + "loss": 0.4788, + "step": 1440 + }, + { + "epoch": 0.28, + "learning_rate": 0.00022488971042578903, + "loss": 0.4791, + "step": 1445 + }, + { + "epoch": 0.28, + "learning_rate": 0.00022488894439418584, + "loss": 0.481, + "step": 1450 + }, + { + "epoch": 0.28, + "learning_rate": 0.00022488817571286664, + "loss": 0.4842, + "step": 1455 + }, + { + "epoch": 0.28, + "learning_rate": 0.00022488740438185044, + "loss": 0.4816, + "step": 1460 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002248866304011562, + "loss": 0.4803, + "step": 1465 + }, + { + "epoch": 0.29, + "learning_rate": 0.00022488585377080308, + "loss": 0.4757, + "step": 1470 + }, + { + "epoch": 0.29, + "learning_rate": 0.00022488507449081025, + "loss": 0.479, + "step": 1475 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002248842925611969, + "loss": 0.4782, + "step": 1480 + }, + { + "epoch": 0.29, + "learning_rate": 0.00022488350798198232, + "loss": 0.4799, + "step": 1485 + }, + { + "epoch": 0.29, + "learning_rate": 0.00022488272075318593, + "loss": 0.4789, + "step": 1490 + }, + { + "epoch": 0.29, + "learning_rate": 0.00022488193087482708, + "loss": 0.4823, + "step": 1495 + }, + { + "epoch": 0.29, + "learning_rate": 0.00022488113834692532, + "loss": 0.4788, + "step": 1500 + }, + { + "epoch": 0.29, + "learning_rate": 0.00022488034316950014, + "loss": 0.4815, + "step": 1505 + }, + { + "epoch": 0.29, + "learning_rate": 0.00022487954534257122, + "loss": 0.4781, + "step": 1510 + }, + { + "epoch": 0.29, + "learning_rate": 0.00022487874486615823, + "loss": 0.4779, + "step": 1515 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002248779417402809, + "loss": 0.479, + "step": 1520 + }, + { + "epoch": 0.3, + "learning_rate": 0.00022487713596495908, + "loss": 0.4799, + "step": 1525 + }, + { + "epoch": 0.3, + "learning_rate": 0.00022487632754021258, + "loss": 0.48, + "step": 1530 + }, + { + "epoch": 0.3, + "learning_rate": 0.00022487551646606144, + "loss": 0.4808, + "step": 1535 + }, + { + "epoch": 0.3, + "learning_rate": 0.00022487470274252565, + "loss": 0.4825, + "step": 1540 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002248738863696252, + "loss": 0.4795, + "step": 1545 + }, + { + "epoch": 0.3, + "learning_rate": 0.00022487306734738033, + "loss": 0.4773, + "step": 1550 + }, + { + "epoch": 0.3, + "learning_rate": 0.00022487224567581125, + "loss": 0.4715, + "step": 1555 + }, + { + "epoch": 0.3, + "learning_rate": 0.00022487142135493819, + "loss": 0.4734, + "step": 1560 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002248705943847815, + "loss": 0.4774, + "step": 1565 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002248697647653616, + "loss": 0.4782, + "step": 1570 + }, + { + "epoch": 0.31, + "learning_rate": 0.00022486893249669892, + "loss": 0.4788, + "step": 1575 + }, + { + "epoch": 0.31, + "learning_rate": 0.00022486809757881406, + "loss": 0.4738, + "step": 1580 + }, + { + "epoch": 0.31, + "learning_rate": 0.00022486726001172755, + "loss": 0.4805, + "step": 1585 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002248664197954601, + "loss": 0.4811, + "step": 1590 + }, + { + "epoch": 0.31, + "learning_rate": 0.00022486557693003246, + "loss": 0.4786, + "step": 1595 + }, + { + "epoch": 0.31, + "learning_rate": 0.00022486473141546538, + "loss": 0.4785, + "step": 1600 + }, + { + "epoch": 0.31, + "learning_rate": 0.00022486388325177972, + "loss": 0.4785, + "step": 1605 + }, + { + "epoch": 0.31, + "learning_rate": 0.00022486303243899645, + "loss": 0.4778, + "step": 1610 + }, + { + "epoch": 0.31, + "learning_rate": 0.00022486217897713654, + "loss": 0.4785, + "step": 1615 + }, + { + "epoch": 0.31, + "learning_rate": 0.00022486132286622106, + "loss": 0.4751, + "step": 1620 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002248604641062711, + "loss": 0.4792, + "step": 1625 + }, + { + "epoch": 0.32, + "learning_rate": 0.00022485960269730788, + "loss": 0.4751, + "step": 1630 + }, + { + "epoch": 0.32, + "learning_rate": 0.00022485873863935268, + "loss": 0.4853, + "step": 1635 + }, + { + "epoch": 0.32, + "learning_rate": 0.00022485787193242675, + "loss": 0.4792, + "step": 1640 + }, + { + "epoch": 0.32, + "learning_rate": 0.00022485700257655154, + "loss": 0.4768, + "step": 1645 + }, + { + "epoch": 0.32, + "learning_rate": 0.00022485613057174843, + "loss": 0.4733, + "step": 1650 + }, + { + "epoch": 0.32, + "learning_rate": 0.000224855255918039, + "loss": 0.4727, + "step": 1655 + }, + { + "epoch": 0.32, + "learning_rate": 0.00022485437861544482, + "loss": 0.4817, + "step": 1660 + }, + { + "epoch": 0.32, + "learning_rate": 0.00022485349866398753, + "loss": 0.4818, + "step": 1665 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002248526160636888, + "loss": 0.4746, + "step": 1670 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002248517308145705, + "loss": 0.4756, + "step": 1675 + }, + { + "epoch": 0.33, + "learning_rate": 0.00022485084291665438, + "loss": 0.4751, + "step": 1680 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002248499523699624, + "loss": 0.4763, + "step": 1685 + }, + { + "epoch": 0.33, + "learning_rate": 0.00022484905917451653, + "loss": 0.4771, + "step": 1690 + }, + { + "epoch": 0.33, + "learning_rate": 0.00022484816333033877, + "loss": 0.475, + "step": 1695 + }, + { + "epoch": 0.33, + "learning_rate": 0.00022484726483745128, + "loss": 0.4812, + "step": 1700 + }, + { + "epoch": 0.33, + "learning_rate": 0.00022484636369587619, + "loss": 0.4715, + "step": 1705 + }, + { + "epoch": 0.33, + "learning_rate": 0.00022484545990563573, + "loss": 0.481, + "step": 1710 + }, + { + "epoch": 0.33, + "learning_rate": 0.00022484455346675222, + "loss": 0.4792, + "step": 1715 + }, + { + "epoch": 0.33, + "learning_rate": 0.00022484364437924803, + "loss": 0.4849, + "step": 1720 + }, + { + "epoch": 0.34, + "learning_rate": 0.00022484273264314561, + "loss": 0.4804, + "step": 1725 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002248418182584674, + "loss": 0.4775, + "step": 1730 + }, + { + "epoch": 0.34, + "learning_rate": 0.00022484090122523598, + "loss": 0.4778, + "step": 1735 + }, + { + "epoch": 0.34, + "learning_rate": 0.000224839981543474, + "loss": 0.4803, + "step": 1740 + }, + { + "epoch": 0.34, + "learning_rate": 0.00022483905921320417, + "loss": 0.4801, + "step": 1745 + }, + { + "epoch": 0.34, + "learning_rate": 0.00022483813423444918, + "loss": 0.4799, + "step": 1750 + }, + { + "epoch": 0.34, + "learning_rate": 0.00022483720660723192, + "loss": 0.4773, + "step": 1755 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002248362763315752, + "loss": 0.4812, + "step": 1760 + }, + { + "epoch": 0.34, + "learning_rate": 0.00022483534340750206, + "loss": 0.4768, + "step": 1765 + }, + { + "epoch": 0.34, + "learning_rate": 0.00022483440783503547, + "loss": 0.4745, + "step": 1770 + }, + { + "epoch": 0.35, + "learning_rate": 0.00022483346961419854, + "loss": 0.4705, + "step": 1775 + }, + { + "epoch": 0.35, + "learning_rate": 0.00022483252874501438, + "loss": 0.4762, + "step": 1780 + }, + { + "epoch": 0.35, + "learning_rate": 0.00022483158522750626, + "loss": 0.4771, + "step": 1785 + }, + { + "epoch": 0.35, + "learning_rate": 0.00022483063906169741, + "loss": 0.47, + "step": 1790 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002248296902476112, + "loss": 0.4733, + "step": 1795 + }, + { + "epoch": 0.35, + "learning_rate": 0.00022482873878527105, + "loss": 0.4716, + "step": 1800 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002248277846747004, + "loss": 0.4763, + "step": 1805 + }, + { + "epoch": 0.35, + "learning_rate": 0.00022482682791592282, + "loss": 0.4751, + "step": 1810 + }, + { + "epoch": 0.35, + "learning_rate": 0.00022482586850896194, + "loss": 0.4752, + "step": 1815 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002248249064538414, + "loss": 0.4731, + "step": 1820 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002248239417505849, + "loss": 0.4811, + "step": 1825 + }, + { + "epoch": 0.36, + "learning_rate": 0.00022482297439921633, + "loss": 0.4737, + "step": 1830 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002248220043997595, + "loss": 0.4774, + "step": 1835 + }, + { + "epoch": 0.36, + "learning_rate": 0.00022482103175223837, + "loss": 0.4758, + "step": 1840 + }, + { + "epoch": 0.36, + "learning_rate": 0.00022482005645667688, + "loss": 0.4709, + "step": 1845 + }, + { + "epoch": 0.36, + "learning_rate": 0.00022481907851309917, + "loss": 0.4714, + "step": 1850 + }, + { + "epoch": 0.36, + "learning_rate": 0.00022481809792152937, + "loss": 0.4789, + "step": 1855 + }, + { + "epoch": 0.36, + "learning_rate": 0.00022481711468199162, + "loss": 0.4766, + "step": 1860 + }, + { + "epoch": 0.36, + "learning_rate": 0.00022481612879451018, + "loss": 0.4748, + "step": 1865 + }, + { + "epoch": 0.36, + "learning_rate": 0.00022481514025910946, + "loss": 0.4796, + "step": 1870 + }, + { + "epoch": 0.36, + "learning_rate": 0.00022481414907581375, + "loss": 0.4758, + "step": 1875 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002248131552446476, + "loss": 0.4765, + "step": 1880 + }, + { + "epoch": 0.37, + "learning_rate": 0.00022481215876563545, + "loss": 0.4752, + "step": 1885 + }, + { + "epoch": 0.37, + "learning_rate": 0.00022481115963880193, + "loss": 0.4763, + "step": 1890 + }, + { + "epoch": 0.37, + "learning_rate": 0.00022481015786417164, + "loss": 0.4744, + "step": 1895 + }, + { + "epoch": 0.37, + "learning_rate": 0.00022480915344176938, + "loss": 0.4736, + "step": 1900 + }, + { + "epoch": 0.37, + "learning_rate": 0.00022480814637161988, + "loss": 0.4751, + "step": 1905 + }, + { + "epoch": 0.37, + "learning_rate": 0.00022480713665374801, + "loss": 0.4768, + "step": 1910 + }, + { + "epoch": 0.37, + "learning_rate": 0.00022480612428817868, + "loss": 0.4707, + "step": 1915 + }, + { + "epoch": 0.37, + "learning_rate": 0.00022480510927493685, + "loss": 0.4737, + "step": 1920 + }, + { + "epoch": 0.37, + "learning_rate": 0.00022480409161404756, + "loss": 0.475, + "step": 1925 + }, + { + "epoch": 0.38, + "learning_rate": 0.00022480307130553595, + "loss": 0.4709, + "step": 1930 + }, + { + "epoch": 0.38, + "learning_rate": 0.00022480204834942724, + "loss": 0.4781, + "step": 1935 + }, + { + "epoch": 0.38, + "learning_rate": 0.00022480102274574653, + "loss": 0.4756, + "step": 1940 + }, + { + "epoch": 0.38, + "learning_rate": 0.00022479999449451926, + "loss": 0.47, + "step": 1945 + }, + { + "epoch": 0.38, + "learning_rate": 0.00022479896359577073, + "loss": 0.4735, + "step": 1950 + }, + { + "epoch": 0.38, + "learning_rate": 0.00022479793004952643, + "loss": 0.4714, + "step": 1955 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002247968938558118, + "loss": 0.4783, + "step": 1960 + }, + { + "epoch": 0.38, + "learning_rate": 0.00022479585501465244, + "loss": 0.4793, + "step": 1965 + }, + { + "epoch": 0.38, + "learning_rate": 0.00022479481352607396, + "loss": 0.4805, + "step": 1970 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002247937693901021, + "loss": 0.4735, + "step": 1975 + }, + { + "epoch": 0.38, + "learning_rate": 0.00022479272260676262, + "loss": 0.4737, + "step": 1980 + }, + { + "epoch": 0.39, + "learning_rate": 0.00022479167317608127, + "loss": 0.4779, + "step": 1985 + }, + { + "epoch": 0.39, + "learning_rate": 0.00022479062109808404, + "loss": 0.4768, + "step": 1990 + }, + { + "epoch": 0.39, + "learning_rate": 0.00022478956637279684, + "loss": 0.475, + "step": 1995 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002247885090002457, + "loss": 0.4711, + "step": 2000 + }, + { + "epoch": 0.39, + "eval_loss": 0.4555172920227051, + "eval_runtime": 41.4031, + "eval_samples_per_second": 120.764, + "eval_steps_per_second": 1.28, + "step": 2000 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002247874489804567, + "loss": 0.4748, + "step": 2005 + }, + { + "epoch": 0.39, + "learning_rate": 0.00022478638631345606, + "loss": 0.4744, + "step": 2010 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002247853209992699, + "loss": 0.4697, + "step": 2015 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002247842530379246, + "loss": 0.4751, + "step": 2020 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002247831824294464, + "loss": 0.4774, + "step": 2025 + }, + { + "epoch": 0.39, + "learning_rate": 0.00022478210917386185, + "loss": 0.4725, + "step": 2030 + }, + { + "epoch": 0.4, + "learning_rate": 0.00022478103327119734, + "loss": 0.4736, + "step": 2035 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002247799547214794, + "loss": 0.4728, + "step": 2040 + }, + { + "epoch": 0.4, + "learning_rate": 0.00022477887352473475, + "loss": 0.4751, + "step": 2045 + }, + { + "epoch": 0.4, + "learning_rate": 0.00022477778968098996, + "loss": 0.4757, + "step": 2050 + }, + { + "epoch": 0.4, + "learning_rate": 0.00022477670319027182, + "loss": 0.4731, + "step": 2055 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002247756140526071, + "loss": 0.4775, + "step": 2060 + }, + { + "epoch": 0.4, + "learning_rate": 0.00022477452226802276, + "loss": 0.4743, + "step": 2065 + }, + { + "epoch": 0.4, + "learning_rate": 0.00022477342783654565, + "loss": 0.476, + "step": 2070 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002247723307582028, + "loss": 0.4683, + "step": 2075 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002247712310330213, + "loss": 0.4725, + "step": 2080 + }, + { + "epoch": 0.41, + "learning_rate": 0.00022477012866102826, + "loss": 0.4714, + "step": 2085 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002247690236422509, + "loss": 0.4738, + "step": 2090 + }, + { + "epoch": 0.41, + "learning_rate": 0.00022476791597671647, + "loss": 0.474, + "step": 2095 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002247668056644523, + "loss": 0.4777, + "step": 2100 + }, + { + "epoch": 0.41, + "learning_rate": 0.00022476569270548583, + "loss": 0.4772, + "step": 2105 + }, + { + "epoch": 0.41, + "learning_rate": 0.00022476457709984447, + "loss": 0.4697, + "step": 2110 + }, + { + "epoch": 0.41, + "learning_rate": 0.00022476345884755574, + "loss": 0.4761, + "step": 2115 + }, + { + "epoch": 0.41, + "learning_rate": 0.00022476233794864724, + "loss": 0.4769, + "step": 2120 + }, + { + "epoch": 0.41, + "learning_rate": 0.00022476121440314666, + "loss": 0.4815, + "step": 2125 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002247600882110817, + "loss": 0.4795, + "step": 2130 + }, + { + "epoch": 0.42, + "learning_rate": 0.00022475895937248015, + "loss": 0.4735, + "step": 2135 + }, + { + "epoch": 0.42, + "learning_rate": 0.00022475782788736984, + "loss": 0.4735, + "step": 2140 + }, + { + "epoch": 0.42, + "learning_rate": 0.00022475669375577874, + "loss": 0.4731, + "step": 2145 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002247555569777348, + "loss": 0.4784, + "step": 2150 + }, + { + "epoch": 0.42, + "learning_rate": 0.00022475441755326608, + "loss": 0.4773, + "step": 2155 + }, + { + "epoch": 0.42, + "learning_rate": 0.00022475327548240065, + "loss": 0.4698, + "step": 2160 + }, + { + "epoch": 0.42, + "learning_rate": 0.00022475213076516675, + "loss": 0.471, + "step": 2165 + }, + { + "epoch": 0.42, + "learning_rate": 0.00022475098340159262, + "loss": 0.4673, + "step": 2170 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002247498333917065, + "loss": 0.4745, + "step": 2175 + }, + { + "epoch": 0.42, + "learning_rate": 0.00022474868073553685, + "loss": 0.4709, + "step": 2180 + }, + { + "epoch": 0.42, + "learning_rate": 0.00022474752543311205, + "loss": 0.4696, + "step": 2185 + }, + { + "epoch": 0.43, + "learning_rate": 0.00022474636748446067, + "loss": 0.4775, + "step": 2190 + }, + { + "epoch": 0.43, + "learning_rate": 0.00022474520688961123, + "loss": 0.4729, + "step": 2195 + }, + { + "epoch": 0.43, + "learning_rate": 0.00022474404364859242, + "loss": 0.4705, + "step": 2200 + }, + { + "epoch": 0.43, + "learning_rate": 0.00022474287776143284, + "loss": 0.475, + "step": 2205 + }, + { + "epoch": 0.43, + "learning_rate": 0.00022474170922816134, + "loss": 0.4731, + "step": 2210 + }, + { + "epoch": 0.43, + "learning_rate": 0.00022474053804880673, + "loss": 0.4714, + "step": 2215 + }, + { + "epoch": 0.43, + "learning_rate": 0.00022473936422339792, + "loss": 0.4767, + "step": 2220 + }, + { + "epoch": 0.43, + "learning_rate": 0.00022473818775196384, + "loss": 0.4747, + "step": 2225 + }, + { + "epoch": 0.43, + "learning_rate": 0.00022473700863453354, + "loss": 0.4765, + "step": 2230 + }, + { + "epoch": 0.43, + "learning_rate": 0.00022473582687113617, + "loss": 0.4734, + "step": 2235 + }, + { + "epoch": 0.44, + "learning_rate": 0.00022473464246180078, + "loss": 0.4744, + "step": 2240 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002247334554065567, + "loss": 0.4719, + "step": 2245 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002247322657054331, + "loss": 0.4765, + "step": 2250 + }, + { + "epoch": 0.44, + "learning_rate": 0.00022473107335845943, + "loss": 0.4753, + "step": 2255 + }, + { + "epoch": 0.44, + "learning_rate": 0.00022472987836566507, + "loss": 0.4685, + "step": 2260 + }, + { + "epoch": 0.44, + "learning_rate": 0.00022472868072707957, + "loss": 0.4743, + "step": 2265 + }, + { + "epoch": 0.44, + "learning_rate": 0.00022472748044273234, + "loss": 0.4691, + "step": 2270 + }, + { + "epoch": 0.44, + "learning_rate": 0.00022472627751265315, + "loss": 0.4676, + "step": 2275 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002247250719368716, + "loss": 0.4764, + "step": 2280 + }, + { + "epoch": 0.44, + "learning_rate": 0.00022472386371541746, + "loss": 0.4705, + "step": 2285 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002247226528483205, + "loss": 0.4694, + "step": 2290 + }, + { + "epoch": 0.45, + "learning_rate": 0.00022472143933561066, + "loss": 0.4736, + "step": 2295 + }, + { + "epoch": 0.45, + "learning_rate": 0.00022472022317731783, + "loss": 0.4739, + "step": 2300 + }, + { + "epoch": 0.45, + "learning_rate": 0.00022471900437347203, + "loss": 0.4723, + "step": 2305 + }, + { + "epoch": 0.45, + "learning_rate": 0.00022471778292410338, + "loss": 0.4747, + "step": 2310 + }, + { + "epoch": 0.45, + "learning_rate": 0.00022471655882924196, + "loss": 0.4735, + "step": 2315 + }, + { + "epoch": 0.45, + "learning_rate": 0.00022471533208891798, + "loss": 0.4704, + "step": 2320 + }, + { + "epoch": 0.45, + "learning_rate": 0.00022471410270316172, + "loss": 0.4708, + "step": 2325 + }, + { + "epoch": 0.45, + "learning_rate": 0.00022471287067200356, + "loss": 0.4731, + "step": 2330 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002247116359954738, + "loss": 0.4675, + "step": 2335 + }, + { + "epoch": 0.45, + "learning_rate": 0.00022471039867360298, + "loss": 0.4735, + "step": 2340 + }, + { + "epoch": 0.46, + "learning_rate": 0.00022470915870642164, + "loss": 0.4712, + "step": 2345 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002247079160939603, + "loss": 0.4771, + "step": 2350 + }, + { + "epoch": 0.46, + "learning_rate": 0.00022470667083624967, + "loss": 0.4751, + "step": 2355 + }, + { + "epoch": 0.46, + "learning_rate": 0.00022470542293332048, + "loss": 0.4748, + "step": 2360 + }, + { + "epoch": 0.46, + "learning_rate": 0.00022470417238520352, + "loss": 0.4728, + "step": 2365 + }, + { + "epoch": 0.46, + "learning_rate": 0.00022470291919192965, + "loss": 0.4667, + "step": 2370 + }, + { + "epoch": 0.46, + "learning_rate": 0.00022470166335352974, + "loss": 0.4655, + "step": 2375 + }, + { + "epoch": 0.46, + "learning_rate": 0.00022470040487003484, + "loss": 0.4671, + "step": 2380 + }, + { + "epoch": 0.46, + "learning_rate": 0.00022469914374147594, + "loss": 0.4707, + "step": 2385 + }, + { + "epoch": 0.46, + "learning_rate": 0.00022469787996788422, + "loss": 0.4718, + "step": 2390 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022469661354929086, + "loss": 0.4696, + "step": 2395 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022469534448572704, + "loss": 0.4716, + "step": 2400 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022469407277722416, + "loss": 0.473, + "step": 2405 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002246927984238135, + "loss": 0.4707, + "step": 2410 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002246915214255266, + "loss": 0.4725, + "step": 2415 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002246902417823949, + "loss": 0.4712, + "step": 2420 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022468895949445003, + "loss": 0.4735, + "step": 2425 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022468767456172356, + "loss": 0.4716, + "step": 2430 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022468638698424728, + "loss": 0.4739, + "step": 2435 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002246850967620529, + "loss": 0.4704, + "step": 2440 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022468380389517224, + "loss": 0.4718, + "step": 2445 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022468250838363725, + "loss": 0.4652, + "step": 2450 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022468121022747986, + "loss": 0.4696, + "step": 2455 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022467990942673214, + "loss": 0.4691, + "step": 2460 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022467860598142614, + "loss": 0.4662, + "step": 2465 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022467729989159406, + "loss": 0.4664, + "step": 2470 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002246759911572681, + "loss": 0.4731, + "step": 2475 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022467467977848056, + "loss": 0.4736, + "step": 2480 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002246733657552638, + "loss": 0.4705, + "step": 2485 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022467204908765024, + "loss": 0.4687, + "step": 2490 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022467072977567235, + "loss": 0.4739, + "step": 2495 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002246694078193627, + "loss": 0.4754, + "step": 2500 + }, + { + "epoch": 0.49, + "learning_rate": 0.00022466808321875393, + "loss": 0.4689, + "step": 2505 + }, + { + "epoch": 0.49, + "learning_rate": 0.00022466675597387868, + "loss": 0.4703, + "step": 2510 + }, + { + "epoch": 0.49, + "learning_rate": 0.00022466542608476974, + "loss": 0.4683, + "step": 2515 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002246640935514599, + "loss": 0.4675, + "step": 2520 + }, + { + "epoch": 0.49, + "learning_rate": 0.00022466275837398203, + "loss": 0.473, + "step": 2525 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002246614205523691, + "loss": 0.4741, + "step": 2530 + }, + { + "epoch": 0.49, + "learning_rate": 0.00022466008008665409, + "loss": 0.4748, + "step": 2535 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002246587369768701, + "loss": 0.4692, + "step": 2540 + }, + { + "epoch": 0.49, + "learning_rate": 0.00022465739122305025, + "loss": 0.4747, + "step": 2545 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002246560428252278, + "loss": 0.4691, + "step": 2550 + }, + { + "epoch": 0.5, + "learning_rate": 0.00022465469178343592, + "loss": 0.4674, + "step": 2555 + }, + { + "epoch": 0.5, + "learning_rate": 0.000224653338097708, + "loss": 0.4698, + "step": 2560 + }, + { + "epoch": 0.5, + "learning_rate": 0.00022465198176807748, + "loss": 0.4664, + "step": 2565 + }, + { + "epoch": 0.5, + "learning_rate": 0.00022465062279457778, + "loss": 0.4645, + "step": 2570 + }, + { + "epoch": 0.5, + "learning_rate": 0.00022464926117724243, + "loss": 0.4662, + "step": 2575 + }, + { + "epoch": 0.5, + "learning_rate": 0.00022464789691610502, + "loss": 0.4695, + "step": 2580 + }, + { + "epoch": 0.5, + "learning_rate": 0.00022464653001119927, + "loss": 0.4725, + "step": 2585 + }, + { + "epoch": 0.5, + "learning_rate": 0.00022464516046255884, + "loss": 0.4674, + "step": 2590 + }, + { + "epoch": 0.5, + "learning_rate": 0.00022464378827021756, + "loss": 0.4691, + "step": 2595 + }, + { + "epoch": 0.51, + "learning_rate": 0.00022464241343420923, + "loss": 0.468, + "step": 2600 + }, + { + "epoch": 0.51, + "learning_rate": 0.00022464103595456786, + "loss": 0.4698, + "step": 2605 + }, + { + "epoch": 0.51, + "learning_rate": 0.00022463965583132737, + "loss": 0.4661, + "step": 2610 + }, + { + "epoch": 0.51, + "learning_rate": 0.00022463827306452188, + "loss": 0.4697, + "step": 2615 + }, + { + "epoch": 0.51, + "learning_rate": 0.00022463688765418543, + "loss": 0.472, + "step": 2620 + }, + { + "epoch": 0.51, + "learning_rate": 0.00022463549960035227, + "loss": 0.4663, + "step": 2625 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002246341089030566, + "loss": 0.4718, + "step": 2630 + }, + { + "epoch": 0.51, + "learning_rate": 0.00022463271556233275, + "loss": 0.4663, + "step": 2635 + }, + { + "epoch": 0.51, + "learning_rate": 0.00022463131957821509, + "loss": 0.4652, + "step": 2640 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002246299209507381, + "loss": 0.4741, + "step": 2645 + }, + { + "epoch": 0.52, + "learning_rate": 0.00022462851967993626, + "loss": 0.4703, + "step": 2650 + }, + { + "epoch": 0.52, + "learning_rate": 0.00022462711576584415, + "loss": 0.4679, + "step": 2655 + }, + { + "epoch": 0.52, + "learning_rate": 0.00022462570920849643, + "loss": 0.4724, + "step": 2660 + }, + { + "epoch": 0.52, + "learning_rate": 0.00022462430000792777, + "loss": 0.4628, + "step": 2665 + }, + { + "epoch": 0.52, + "learning_rate": 0.00022462288816417296, + "loss": 0.4742, + "step": 2670 + }, + { + "epoch": 0.52, + "learning_rate": 0.00022462147367726683, + "loss": 0.4785, + "step": 2675 + }, + { + "epoch": 0.52, + "learning_rate": 0.00022462005654724432, + "loss": 0.4648, + "step": 2680 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002246186367741403, + "loss": 0.4721, + "step": 2685 + }, + { + "epoch": 0.52, + "learning_rate": 0.00022461721435798992, + "loss": 0.4702, + "step": 2690 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002246157892988282, + "loss": 0.4727, + "step": 2695 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002246143615966903, + "loss": 0.472, + "step": 2700 + }, + { + "epoch": 0.53, + "learning_rate": 0.00022461293125161148, + "loss": 0.4719, + "step": 2705 + }, + { + "epoch": 0.53, + "learning_rate": 0.00022461149826362705, + "loss": 0.4638, + "step": 2710 + }, + { + "epoch": 0.53, + "learning_rate": 0.00022461006263277232, + "loss": 0.4639, + "step": 2715 + }, + { + "epoch": 0.53, + "learning_rate": 0.00022460862435908272, + "loss": 0.4659, + "step": 2720 + }, + { + "epoch": 0.53, + "learning_rate": 0.00022460718344259376, + "loss": 0.4693, + "step": 2725 + }, + { + "epoch": 0.53, + "learning_rate": 0.000224605739883341, + "loss": 0.4665, + "step": 2730 + }, + { + "epoch": 0.53, + "learning_rate": 0.00022460429368135999, + "loss": 0.4678, + "step": 2735 + }, + { + "epoch": 0.53, + "learning_rate": 0.00022460284483668652, + "loss": 0.4673, + "step": 2740 + }, + { + "epoch": 0.53, + "learning_rate": 0.00022460139334935626, + "loss": 0.471, + "step": 2745 + }, + { + "epoch": 0.53, + "learning_rate": 0.00022459993921940504, + "loss": 0.4712, + "step": 2750 + }, + { + "epoch": 0.54, + "learning_rate": 0.00022459848244686876, + "loss": 0.4716, + "step": 2755 + }, + { + "epoch": 0.54, + "learning_rate": 0.00022459702303178334, + "loss": 0.4742, + "step": 2760 + }, + { + "epoch": 0.54, + "learning_rate": 0.00022459556097418482, + "loss": 0.4722, + "step": 2765 + }, + { + "epoch": 0.54, + "learning_rate": 0.00022459409627410923, + "loss": 0.4682, + "step": 2770 + }, + { + "epoch": 0.54, + "learning_rate": 0.00022459262893159275, + "loss": 0.4717, + "step": 2775 + }, + { + "epoch": 0.54, + "learning_rate": 0.00022459115894667156, + "loss": 0.4668, + "step": 2780 + }, + { + "epoch": 0.54, + "learning_rate": 0.00022458968631938194, + "loss": 0.4705, + "step": 2785 + }, + { + "epoch": 0.54, + "learning_rate": 0.00022458821104976025, + "loss": 0.4664, + "step": 2790 + }, + { + "epoch": 0.54, + "learning_rate": 0.00022458673313784287, + "loss": 0.4683, + "step": 2795 + }, + { + "epoch": 0.54, + "learning_rate": 0.00022458525258366624, + "loss": 0.4718, + "step": 2800 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002245837693872669, + "loss": 0.465, + "step": 2805 + }, + { + "epoch": 0.55, + "learning_rate": 0.00022458228354868152, + "loss": 0.4714, + "step": 2810 + }, + { + "epoch": 0.55, + "learning_rate": 0.00022458079506794664, + "loss": 0.4673, + "step": 2815 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002245793039450991, + "loss": 0.4681, + "step": 2820 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002245778101801756, + "loss": 0.4708, + "step": 2825 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002245763137732131, + "loss": 0.4728, + "step": 2830 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002245748147242484, + "loss": 0.4659, + "step": 2835 + }, + { + "epoch": 0.55, + "learning_rate": 0.00022457331303331858, + "loss": 0.4656, + "step": 2840 + }, + { + "epoch": 0.55, + "learning_rate": 0.00022457180870046064, + "loss": 0.4666, + "step": 2845 + }, + { + "epoch": 0.55, + "learning_rate": 0.00022457030172571174, + "loss": 0.4652, + "step": 2850 + }, + { + "epoch": 0.55, + "learning_rate": 0.000224568792109109, + "loss": 0.4713, + "step": 2855 + }, + { + "epoch": 0.56, + "learning_rate": 0.00022456727985068975, + "loss": 0.4665, + "step": 2860 + }, + { + "epoch": 0.56, + "learning_rate": 0.00022456576495049124, + "loss": 0.4721, + "step": 2865 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002245642474085509, + "loss": 0.4613, + "step": 2870 + }, + { + "epoch": 0.56, + "learning_rate": 0.00022456272722490614, + "loss": 0.4648, + "step": 2875 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002245612043995945, + "loss": 0.4661, + "step": 2880 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002245596789326535, + "loss": 0.4648, + "step": 2885 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002245581508241208, + "loss": 0.4638, + "step": 2890 + }, + { + "epoch": 0.56, + "learning_rate": 0.00022455662007403413, + "loss": 0.468, + "step": 2895 + }, + { + "epoch": 0.56, + "learning_rate": 0.00022455508668243126, + "loss": 0.4721, + "step": 2900 + }, + { + "epoch": 0.56, + "learning_rate": 0.00022455355064934996, + "loss": 0.4696, + "step": 2905 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002245520119748282, + "loss": 0.466, + "step": 2910 + }, + { + "epoch": 0.57, + "learning_rate": 0.00022455047065890392, + "loss": 0.4691, + "step": 2915 + }, + { + "epoch": 0.57, + "learning_rate": 0.00022454892670161522, + "loss": 0.4703, + "step": 2920 + }, + { + "epoch": 0.57, + "learning_rate": 0.00022454738010300004, + "loss": 0.4672, + "step": 2925 + }, + { + "epoch": 0.57, + "learning_rate": 0.00022454583086309668, + "loss": 0.4636, + "step": 2930 + }, + { + "epoch": 0.57, + "learning_rate": 0.00022454427898194328, + "loss": 0.4681, + "step": 2935 + }, + { + "epoch": 0.57, + "learning_rate": 0.00022454272445957823, + "loss": 0.4659, + "step": 2940 + }, + { + "epoch": 0.57, + "learning_rate": 0.00022454116729603976, + "loss": 0.4619, + "step": 2945 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002245396074913664, + "loss": 0.4647, + "step": 2950 + }, + { + "epoch": 0.57, + "learning_rate": 0.00022453804504559658, + "loss": 0.4645, + "step": 2955 + }, + { + "epoch": 0.58, + "learning_rate": 0.00022453647995876886, + "loss": 0.4693, + "step": 2960 + }, + { + "epoch": 0.58, + "learning_rate": 0.00022453491223092185, + "loss": 0.4667, + "step": 2965 + }, + { + "epoch": 0.58, + "learning_rate": 0.00022453334186209426, + "loss": 0.4659, + "step": 2970 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002245317688523248, + "loss": 0.4666, + "step": 2975 + }, + { + "epoch": 0.58, + "learning_rate": 0.00022453019320165232, + "loss": 0.4713, + "step": 2980 + }, + { + "epoch": 0.58, + "learning_rate": 0.00022452861491011568, + "loss": 0.467, + "step": 2985 + }, + { + "epoch": 0.58, + "learning_rate": 0.00022452703397775382, + "loss": 0.4703, + "step": 2990 + }, + { + "epoch": 0.58, + "learning_rate": 0.00022452545040460578, + "loss": 0.4686, + "step": 2995 + }, + { + "epoch": 0.58, + "learning_rate": 0.00022452386419071057, + "loss": 0.4702, + "step": 3000 + }, + { + "epoch": 0.58, + "eval_loss": 0.44886377453804016, + "eval_runtime": 47.4173, + "eval_samples_per_second": 105.447, + "eval_steps_per_second": 1.118, + "step": 3000 + }, + { + "epoch": 0.58, + "learning_rate": 0.00022452227533610735, + "loss": 0.4693, + "step": 3005 + }, + { + "epoch": 0.59, + "learning_rate": 0.00022452068384083538, + "loss": 0.4681, + "step": 3010 + }, + { + "epoch": 0.59, + "learning_rate": 0.00022451908970493387, + "loss": 0.4631, + "step": 3015 + }, + { + "epoch": 0.59, + "learning_rate": 0.00022451749292844213, + "loss": 0.4612, + "step": 3020 + }, + { + "epoch": 0.59, + "learning_rate": 0.00022451589351139964, + "loss": 0.4647, + "step": 3025 + }, + { + "epoch": 0.59, + "learning_rate": 0.00022451429145384582, + "loss": 0.4658, + "step": 3030 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002245126867558202, + "loss": 0.4644, + "step": 3035 + }, + { + "epoch": 0.59, + "learning_rate": 0.00022451107941736233, + "loss": 0.4727, + "step": 3040 + }, + { + "epoch": 0.59, + "learning_rate": 0.00022450946943851198, + "loss": 0.4692, + "step": 3045 + }, + { + "epoch": 0.59, + "learning_rate": 0.00022450785681930876, + "loss": 0.466, + "step": 3050 + }, + { + "epoch": 0.59, + "learning_rate": 0.00022450624155979254, + "loss": 0.4656, + "step": 3055 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002245046236600031, + "loss": 0.4725, + "step": 3060 + }, + { + "epoch": 0.6, + "learning_rate": 0.00022450300311998046, + "loss": 0.4689, + "step": 3065 + }, + { + "epoch": 0.6, + "learning_rate": 0.00022450137993976454, + "loss": 0.469, + "step": 3070 + }, + { + "epoch": 0.6, + "learning_rate": 0.00022449975411939537, + "loss": 0.4685, + "step": 3075 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002244981256589131, + "loss": 0.4668, + "step": 3080 + }, + { + "epoch": 0.6, + "learning_rate": 0.00022449649455835792, + "loss": 0.4695, + "step": 3085 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002244948608177701, + "loss": 0.4664, + "step": 3090 + }, + { + "epoch": 0.6, + "learning_rate": 0.00022449322443718981, + "loss": 0.4745, + "step": 3095 + }, + { + "epoch": 0.6, + "learning_rate": 0.00022449158541665762, + "loss": 0.4724, + "step": 3100 + }, + { + "epoch": 0.6, + "learning_rate": 0.00022448994375621386, + "loss": 0.4609, + "step": 3105 + }, + { + "epoch": 0.6, + "learning_rate": 0.00022448829945589903, + "loss": 0.4666, + "step": 3110 + }, + { + "epoch": 0.61, + "learning_rate": 0.00022448665251575376, + "loss": 0.4651, + "step": 3115 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002244850029358186, + "loss": 0.4644, + "step": 3120 + }, + { + "epoch": 0.61, + "learning_rate": 0.00022448335071613434, + "loss": 0.4686, + "step": 3125 + }, + { + "epoch": 0.61, + "learning_rate": 0.00022448169585674173, + "loss": 0.4678, + "step": 3130 + }, + { + "epoch": 0.61, + "learning_rate": 0.00022448003835768155, + "loss": 0.4668, + "step": 3135 + }, + { + "epoch": 0.61, + "learning_rate": 0.00022447837821899474, + "loss": 0.4664, + "step": 3140 + }, + { + "epoch": 0.61, + "learning_rate": 0.00022447671544072227, + "loss": 0.4647, + "step": 3145 + }, + { + "epoch": 0.61, + "learning_rate": 0.00022447505002290516, + "loss": 0.4689, + "step": 3150 + }, + { + "epoch": 0.61, + "learning_rate": 0.00022447338196558448, + "loss": 0.4697, + "step": 3155 + }, + { + "epoch": 0.61, + "learning_rate": 0.00022447171126880138, + "loss": 0.4724, + "step": 3160 + }, + { + "epoch": 0.62, + "learning_rate": 0.00022447003793259714, + "loss": 0.4604, + "step": 3165 + }, + { + "epoch": 0.62, + "learning_rate": 0.000224468361957013, + "loss": 0.4605, + "step": 3170 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002244666833420903, + "loss": 0.4657, + "step": 3175 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002244650020878705, + "loss": 0.4684, + "step": 3180 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002244633181943951, + "loss": 0.467, + "step": 3185 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002244616316617056, + "loss": 0.4622, + "step": 3190 + }, + { + "epoch": 0.62, + "learning_rate": 0.00022445994248984364, + "loss": 0.4677, + "step": 3195 + }, + { + "epoch": 0.62, + "learning_rate": 0.00022445825067885086, + "loss": 0.4597, + "step": 3200 + }, + { + "epoch": 0.62, + "learning_rate": 0.000224456556228769, + "loss": 0.4648, + "step": 3205 + }, + { + "epoch": 0.62, + "learning_rate": 0.00022445485913963995, + "loss": 0.46, + "step": 3210 + }, + { + "epoch": 0.62, + "learning_rate": 0.00022445315941150554, + "loss": 0.4626, + "step": 3215 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002244514570444077, + "loss": 0.4669, + "step": 3220 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002244497520383884, + "loss": 0.4707, + "step": 3225 + }, + { + "epoch": 0.63, + "learning_rate": 0.00022444804439348978, + "loss": 0.4659, + "step": 3230 + }, + { + "epoch": 0.63, + "learning_rate": 0.00022444633410975391, + "loss": 0.4607, + "step": 3235 + }, + { + "epoch": 0.63, + "learning_rate": 0.00022444462118722305, + "loss": 0.4666, + "step": 3240 + }, + { + "epoch": 0.63, + "learning_rate": 0.00022444290562593944, + "loss": 0.4645, + "step": 3245 + }, + { + "epoch": 0.63, + "learning_rate": 0.00022444118742594537, + "loss": 0.4641, + "step": 3250 + }, + { + "epoch": 0.63, + "learning_rate": 0.00022443946658728332, + "loss": 0.4639, + "step": 3255 + }, + { + "epoch": 0.63, + "learning_rate": 0.00022443774310999568, + "loss": 0.466, + "step": 3260 + }, + { + "epoch": 0.63, + "learning_rate": 0.00022443601699412497, + "loss": 0.467, + "step": 3265 + }, + { + "epoch": 0.64, + "learning_rate": 0.00022443428823971383, + "loss": 0.4708, + "step": 3270 + }, + { + "epoch": 0.64, + "learning_rate": 0.00022443255684680488, + "loss": 0.463, + "step": 3275 + }, + { + "epoch": 0.64, + "learning_rate": 0.00022443082281544085, + "loss": 0.4602, + "step": 3280 + }, + { + "epoch": 0.64, + "learning_rate": 0.00022442908614566455, + "loss": 0.4658, + "step": 3285 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002244273468375188, + "loss": 0.4621, + "step": 3290 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002244256048910465, + "loss": 0.4653, + "step": 3295 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002244238603062907, + "loss": 0.4685, + "step": 3300 + }, + { + "epoch": 0.64, + "learning_rate": 0.00022442211308329433, + "loss": 0.4697, + "step": 3305 + }, + { + "epoch": 0.64, + "learning_rate": 0.00022442036322210059, + "loss": 0.4652, + "step": 3310 + }, + { + "epoch": 0.64, + "learning_rate": 0.00022441861072275266, + "loss": 0.464, + "step": 3315 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002244168555852938, + "loss": 0.4579, + "step": 3320 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002244150978097672, + "loss": 0.4666, + "step": 3325 + }, + { + "epoch": 0.65, + "learning_rate": 0.00022441333739621635, + "loss": 0.4667, + "step": 3330 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002244115743446846, + "loss": 0.4635, + "step": 3335 + }, + { + "epoch": 0.65, + "learning_rate": 0.00022440980865521553, + "loss": 0.4632, + "step": 3340 + }, + { + "epoch": 0.65, + "learning_rate": 0.00022440804032785265, + "loss": 0.4616, + "step": 3345 + }, + { + "epoch": 0.65, + "learning_rate": 0.00022440626936263963, + "loss": 0.4636, + "step": 3350 + }, + { + "epoch": 0.65, + "learning_rate": 0.00022440449575962014, + "loss": 0.4677, + "step": 3355 + }, + { + "epoch": 0.65, + "learning_rate": 0.00022440271951883797, + "loss": 0.471, + "step": 3360 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002244009406403369, + "loss": 0.4554, + "step": 3365 + }, + { + "epoch": 0.66, + "learning_rate": 0.00022439915912416086, + "loss": 0.4594, + "step": 3370 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002243973749703538, + "loss": 0.4636, + "step": 3375 + }, + { + "epoch": 0.66, + "learning_rate": 0.00022439558817895973, + "loss": 0.4651, + "step": 3380 + }, + { + "epoch": 0.66, + "learning_rate": 0.00022439379875002275, + "loss": 0.4616, + "step": 3385 + }, + { + "epoch": 0.66, + "learning_rate": 0.000224392006683587, + "loss": 0.4553, + "step": 3390 + }, + { + "epoch": 0.66, + "learning_rate": 0.00022439021197969675, + "loss": 0.4659, + "step": 3395 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002243884146383962, + "loss": 0.4686, + "step": 3400 + }, + { + "epoch": 0.66, + "learning_rate": 0.00022438661465972972, + "loss": 0.4694, + "step": 3405 + }, + { + "epoch": 0.66, + "learning_rate": 0.00022438481204374176, + "loss": 0.4646, + "step": 3410 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002243830067904768, + "loss": 0.4655, + "step": 3415 + }, + { + "epoch": 0.66, + "learning_rate": 0.00022438119889997934, + "loss": 0.4665, + "step": 3420 + }, + { + "epoch": 0.67, + "learning_rate": 0.000224379388372294, + "loss": 0.4616, + "step": 3425 + }, + { + "epoch": 0.67, + "learning_rate": 0.00022437757520746545, + "loss": 0.4645, + "step": 3430 + }, + { + "epoch": 0.67, + "learning_rate": 0.00022437575940553847, + "loss": 0.4647, + "step": 3435 + }, + { + "epoch": 0.67, + "learning_rate": 0.00022437394096655783, + "loss": 0.4691, + "step": 3440 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002243721198905684, + "loss": 0.465, + "step": 3445 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002243702961776151, + "loss": 0.4707, + "step": 3450 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002243684698277429, + "loss": 0.4671, + "step": 3455 + }, + { + "epoch": 0.67, + "learning_rate": 0.00022436664084099698, + "loss": 0.4651, + "step": 3460 + }, + { + "epoch": 0.67, + "learning_rate": 0.00022436480921742233, + "loss": 0.4623, + "step": 3465 + }, + { + "epoch": 0.67, + "learning_rate": 0.00022436297495706425, + "loss": 0.4675, + "step": 3470 + }, + { + "epoch": 0.68, + "learning_rate": 0.00022436113805996796, + "loss": 0.4667, + "step": 3475 + }, + { + "epoch": 0.68, + "learning_rate": 0.00022435929852617875, + "loss": 0.4673, + "step": 3480 + }, + { + "epoch": 0.68, + "learning_rate": 0.00022435745635574208, + "loss": 0.4669, + "step": 3485 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002243556115487033, + "loss": 0.4632, + "step": 3490 + }, + { + "epoch": 0.68, + "learning_rate": 0.00022435376410510801, + "loss": 0.4588, + "step": 3495 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002243519140250018, + "loss": 0.47, + "step": 3500 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002243500613084303, + "loss": 0.466, + "step": 3505 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002243482059554392, + "loss": 0.4637, + "step": 3510 + }, + { + "epoch": 0.68, + "learning_rate": 0.00022434634796607427, + "loss": 0.4661, + "step": 3515 + }, + { + "epoch": 0.68, + "learning_rate": 0.00022434448734038142, + "loss": 0.4609, + "step": 3520 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022434262407840648, + "loss": 0.4634, + "step": 3525 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002243407581801955, + "loss": 0.4621, + "step": 3530 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022433888964579448, + "loss": 0.462, + "step": 3535 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002243370184752495, + "loss": 0.4571, + "step": 3540 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022433514466860678, + "loss": 0.4613, + "step": 3545 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022433326822591252, + "loss": 0.4654, + "step": 3550 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022433138914721302, + "loss": 0.4618, + "step": 3555 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002243295074325547, + "loss": 0.4631, + "step": 3560 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002243276230819839, + "loss": 0.4677, + "step": 3565 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022432573609554716, + "loss": 0.4603, + "step": 3570 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022432384647329105, + "loss": 0.4624, + "step": 3575 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022432195421526218, + "loss": 0.4667, + "step": 3580 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022432005932150723, + "loss": 0.4641, + "step": 3585 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022431816179207297, + "loss": 0.4631, + "step": 3590 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022431626162700623, + "loss": 0.4612, + "step": 3595 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022431435882635386, + "loss": 0.4624, + "step": 3600 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022431245339016285, + "loss": 0.4666, + "step": 3605 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022431054531848018, + "loss": 0.4584, + "step": 3610 + }, + { + "epoch": 0.7, + "learning_rate": 0.000224308634611353, + "loss": 0.4636, + "step": 3615 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022430672126882832, + "loss": 0.4634, + "step": 3620 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022430480529095345, + "loss": 0.4637, + "step": 3625 + }, + { + "epoch": 0.71, + "learning_rate": 0.00022430288667777567, + "loss": 0.4618, + "step": 3630 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002243009654293423, + "loss": 0.4593, + "step": 3635 + }, + { + "epoch": 0.71, + "learning_rate": 0.00022429904154570073, + "loss": 0.4696, + "step": 3640 + }, + { + "epoch": 0.71, + "learning_rate": 0.00022429711502689842, + "loss": 0.4701, + "step": 3645 + }, + { + "epoch": 0.71, + "learning_rate": 0.00022429518587298295, + "loss": 0.4622, + "step": 3650 + }, + { + "epoch": 0.71, + "learning_rate": 0.00022429325408400186, + "loss": 0.4613, + "step": 3655 + }, + { + "epoch": 0.71, + "learning_rate": 0.00022429131966000287, + "loss": 0.4677, + "step": 3660 + }, + { + "epoch": 0.71, + "learning_rate": 0.00022428938260103367, + "loss": 0.4637, + "step": 3665 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002242874429071421, + "loss": 0.4608, + "step": 3670 + }, + { + "epoch": 0.71, + "learning_rate": 0.000224285500578376, + "loss": 0.4593, + "step": 3675 + }, + { + "epoch": 0.72, + "learning_rate": 0.00022428355561478325, + "loss": 0.4678, + "step": 3680 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002242816080164119, + "loss": 0.4646, + "step": 3685 + }, + { + "epoch": 0.72, + "learning_rate": 0.00022427965778331, + "loss": 0.4657, + "step": 3690 + }, + { + "epoch": 0.72, + "learning_rate": 0.00022427770491552563, + "loss": 0.4629, + "step": 3695 + }, + { + "epoch": 0.72, + "learning_rate": 0.00022427574941310703, + "loss": 0.4635, + "step": 3700 + }, + { + "epoch": 0.72, + "learning_rate": 0.00022427379127610238, + "loss": 0.4629, + "step": 3705 + }, + { + "epoch": 0.72, + "learning_rate": 0.00022427183050456007, + "loss": 0.4657, + "step": 3710 + }, + { + "epoch": 0.72, + "learning_rate": 0.00022426986709852845, + "loss": 0.4674, + "step": 3715 + }, + { + "epoch": 0.72, + "learning_rate": 0.00022426790105805594, + "loss": 0.4667, + "step": 3720 + }, + { + "epoch": 0.72, + "learning_rate": 0.00022426593238319105, + "loss": 0.4668, + "step": 3725 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002242639610739824, + "loss": 0.4603, + "step": 3730 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002242619871304786, + "loss": 0.4597, + "step": 3735 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002242600105527284, + "loss": 0.4631, + "step": 3740 + }, + { + "epoch": 0.73, + "learning_rate": 0.00022425803134078044, + "loss": 0.4632, + "step": 3745 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002242560494946837, + "loss": 0.4613, + "step": 3750 + }, + { + "epoch": 0.73, + "learning_rate": 0.00022425406501448705, + "loss": 0.4597, + "step": 3755 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002242520779002394, + "loss": 0.4584, + "step": 3760 + }, + { + "epoch": 0.73, + "learning_rate": 0.00022425008815198983, + "loss": 0.4654, + "step": 3765 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002242480957697874, + "loss": 0.4591, + "step": 3770 + }, + { + "epoch": 0.73, + "learning_rate": 0.00022424610075368127, + "loss": 0.4626, + "step": 3775 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002242441031037207, + "loss": 0.4605, + "step": 3780 + }, + { + "epoch": 0.74, + "learning_rate": 0.00022424210281995496, + "loss": 0.4665, + "step": 3785 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002242400999024334, + "loss": 0.4596, + "step": 3790 + }, + { + "epoch": 0.74, + "learning_rate": 0.00022423809435120543, + "loss": 0.4662, + "step": 3795 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002242360861663206, + "loss": 0.4664, + "step": 3800 + }, + { + "epoch": 0.74, + "learning_rate": 0.00022423407534782837, + "loss": 0.4646, + "step": 3805 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002242320618957784, + "loss": 0.4621, + "step": 3810 + }, + { + "epoch": 0.74, + "learning_rate": 0.00022423004581022038, + "loss": 0.4582, + "step": 3815 + }, + { + "epoch": 0.74, + "learning_rate": 0.00022422802709120402, + "loss": 0.4619, + "step": 3820 + }, + { + "epoch": 0.74, + "learning_rate": 0.00022422600573877917, + "loss": 0.4578, + "step": 3825 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002242239817529957, + "loss": 0.4596, + "step": 3830 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002242219551339035, + "loss": 0.4582, + "step": 3835 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002242199258815526, + "loss": 0.4606, + "step": 3840 + }, + { + "epoch": 0.75, + "learning_rate": 0.00022421789399599312, + "loss": 0.4705, + "step": 3845 + }, + { + "epoch": 0.75, + "learning_rate": 0.00022421585947727515, + "loss": 0.4656, + "step": 3850 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002242138223254489, + "loss": 0.459, + "step": 3855 + }, + { + "epoch": 0.75, + "learning_rate": 0.00022421178254056461, + "loss": 0.46, + "step": 3860 + }, + { + "epoch": 0.75, + "learning_rate": 0.00022420974012267263, + "loss": 0.464, + "step": 3865 + }, + { + "epoch": 0.75, + "learning_rate": 0.00022420769507182337, + "loss": 0.4581, + "step": 3870 + }, + { + "epoch": 0.75, + "learning_rate": 0.00022420564738806725, + "loss": 0.4569, + "step": 3875 + }, + { + "epoch": 0.75, + "learning_rate": 0.00022420359707145483, + "loss": 0.4623, + "step": 3880 + }, + { + "epoch": 0.76, + "learning_rate": 0.00022420154412203667, + "loss": 0.4632, + "step": 3885 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002241994885398635, + "loss": 0.4601, + "step": 3890 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002241974303249859, + "loss": 0.4629, + "step": 3895 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002241953694774548, + "loss": 0.462, + "step": 3900 + }, + { + "epoch": 0.76, + "learning_rate": 0.00022419330599732096, + "loss": 0.4644, + "step": 3905 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002241912398846353, + "loss": 0.4584, + "step": 3910 + }, + { + "epoch": 0.76, + "learning_rate": 0.00022418917113944882, + "loss": 0.4628, + "step": 3915 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002241870997618126, + "loss": 0.4635, + "step": 3920 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002241850257517777, + "loss": 0.4587, + "step": 3925 + }, + { + "epoch": 0.76, + "learning_rate": 0.00022418294910939529, + "loss": 0.462, + "step": 3930 + }, + { + "epoch": 0.76, + "learning_rate": 0.00022418086983471664, + "loss": 0.4596, + "step": 3935 + }, + { + "epoch": 0.77, + "learning_rate": 0.00022417878792779303, + "loss": 0.4602, + "step": 3940 + }, + { + "epoch": 0.77, + "learning_rate": 0.00022417670338867584, + "loss": 0.4633, + "step": 3945 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002241746162174165, + "loss": 0.4608, + "step": 3950 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002241725264140665, + "loss": 0.462, + "step": 3955 + }, + { + "epoch": 0.77, + "learning_rate": 0.00022417043397867745, + "loss": 0.462, + "step": 3960 + }, + { + "epoch": 0.77, + "learning_rate": 0.00022416833891130092, + "loss": 0.4627, + "step": 3965 + }, + { + "epoch": 0.77, + "learning_rate": 0.00022416624121198862, + "loss": 0.4635, + "step": 3970 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002241641408807923, + "loss": 0.4597, + "step": 3975 + }, + { + "epoch": 0.77, + "learning_rate": 0.00022416203791776384, + "loss": 0.4623, + "step": 3980 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002241599323229551, + "loss": 0.4634, + "step": 3985 + }, + { + "epoch": 0.78, + "learning_rate": 0.000224157824096418, + "loss": 0.4606, + "step": 3990 + }, + { + "epoch": 0.78, + "learning_rate": 0.00022415571323820455, + "loss": 0.4616, + "step": 3995 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002241535997483669, + "loss": 0.4583, + "step": 4000 + }, + { + "epoch": 0.78, + "eval_loss": 0.44417059421539307, + "eval_runtime": 48.8396, + "eval_samples_per_second": 102.376, + "eval_steps_per_second": 1.085, + "step": 4000 + }, + { + "epoch": 0.78, + "learning_rate": 0.00022415148362695716, + "loss": 0.4598, + "step": 4005 + }, + { + "epoch": 0.78, + "learning_rate": 0.00022414936487402752, + "loss": 0.4636, + "step": 4010 + }, + { + "epoch": 0.78, + "learning_rate": 0.00022414724348963032, + "loss": 0.4621, + "step": 4015 + }, + { + "epoch": 0.78, + "learning_rate": 0.00022414511947381783, + "loss": 0.4552, + "step": 4020 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002241429928266425, + "loss": 0.4637, + "step": 4025 + }, + { + "epoch": 0.78, + "learning_rate": 0.00022414086354815682, + "loss": 0.4636, + "step": 4030 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002241387316384133, + "loss": 0.463, + "step": 4035 + }, + { + "epoch": 0.79, + "learning_rate": 0.00022413659709746454, + "loss": 0.4637, + "step": 4040 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002241344599253632, + "loss": 0.4629, + "step": 4045 + }, + { + "epoch": 0.79, + "learning_rate": 0.00022413232012216206, + "loss": 0.4617, + "step": 4050 + }, + { + "epoch": 0.79, + "learning_rate": 0.00022413017768791385, + "loss": 0.4641, + "step": 4055 + }, + { + "epoch": 0.79, + "learning_rate": 0.00022412803262267147, + "loss": 0.4618, + "step": 4060 + }, + { + "epoch": 0.79, + "learning_rate": 0.00022412588492648787, + "loss": 0.4594, + "step": 4065 + }, + { + "epoch": 0.79, + "learning_rate": 0.000224123734599416, + "loss": 0.4686, + "step": 4070 + }, + { + "epoch": 0.79, + "learning_rate": 0.00022412158164150894, + "loss": 0.4659, + "step": 4075 + }, + { + "epoch": 0.79, + "learning_rate": 0.00022411942605281984, + "loss": 0.4659, + "step": 4080 + }, + { + "epoch": 0.79, + "learning_rate": 0.00022411726783340183, + "loss": 0.4615, + "step": 4085 + }, + { + "epoch": 0.8, + "learning_rate": 0.00022411510698330816, + "loss": 0.4619, + "step": 4090 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002241129435025922, + "loss": 0.4563, + "step": 4095 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002241107773913073, + "loss": 0.4674, + "step": 4100 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002241086086495069, + "loss": 0.4649, + "step": 4105 + }, + { + "epoch": 0.8, + "learning_rate": 0.00022410643727724454, + "loss": 0.4608, + "step": 4110 + }, + { + "epoch": 0.8, + "learning_rate": 0.00022410426327457378, + "loss": 0.4561, + "step": 4115 + }, + { + "epoch": 0.8, + "learning_rate": 0.00022410208664154824, + "loss": 0.4608, + "step": 4120 + }, + { + "epoch": 0.8, + "learning_rate": 0.00022409990737822167, + "loss": 0.4669, + "step": 4125 + }, + { + "epoch": 0.8, + "learning_rate": 0.00022409772548464779, + "loss": 0.4648, + "step": 4130 + }, + { + "epoch": 0.8, + "learning_rate": 0.00022409554096088048, + "loss": 0.4671, + "step": 4135 + }, + { + "epoch": 0.8, + "learning_rate": 0.00022409335380697362, + "loss": 0.4629, + "step": 4140 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002240911640229812, + "loss": 0.4623, + "step": 4145 + }, + { + "epoch": 0.81, + "learning_rate": 0.00022408897160895722, + "loss": 0.4638, + "step": 4150 + }, + { + "epoch": 0.81, + "learning_rate": 0.00022408677656495578, + "loss": 0.4653, + "step": 4155 + }, + { + "epoch": 0.81, + "learning_rate": 0.00022408457889103105, + "loss": 0.4625, + "step": 4160 + }, + { + "epoch": 0.81, + "learning_rate": 0.00022408237858723726, + "loss": 0.4631, + "step": 4165 + }, + { + "epoch": 0.81, + "learning_rate": 0.00022408017565362867, + "loss": 0.4665, + "step": 4170 + }, + { + "epoch": 0.81, + "learning_rate": 0.00022407797009025968, + "loss": 0.458, + "step": 4175 + }, + { + "epoch": 0.81, + "learning_rate": 0.00022407576189718468, + "loss": 0.4641, + "step": 4180 + }, + { + "epoch": 0.81, + "learning_rate": 0.00022407355107445818, + "loss": 0.4614, + "step": 4185 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002240713376221347, + "loss": 0.4614, + "step": 4190 + }, + { + "epoch": 0.82, + "learning_rate": 0.00022406912154026887, + "loss": 0.4621, + "step": 4195 + }, + { + "epoch": 0.82, + "learning_rate": 0.00022406690282891537, + "loss": 0.4664, + "step": 4200 + }, + { + "epoch": 0.82, + "learning_rate": 0.00022406468148812892, + "loss": 0.4556, + "step": 4205 + }, + { + "epoch": 0.82, + "learning_rate": 0.00022406245751796437, + "loss": 0.4592, + "step": 4210 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002240602309184766, + "loss": 0.4645, + "step": 4215 + }, + { + "epoch": 0.82, + "learning_rate": 0.00022405800168972048, + "loss": 0.4602, + "step": 4220 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002240557698317511, + "loss": 0.4608, + "step": 4225 + }, + { + "epoch": 0.82, + "learning_rate": 0.00022405353534462347, + "loss": 0.4646, + "step": 4230 + }, + { + "epoch": 0.82, + "learning_rate": 0.00022405129822839273, + "loss": 0.4577, + "step": 4235 + }, + { + "epoch": 0.82, + "learning_rate": 0.00022404905848311414, + "loss": 0.4591, + "step": 4240 + }, + { + "epoch": 0.83, + "learning_rate": 0.00022404681610884287, + "loss": 0.4572, + "step": 4245 + }, + { + "epoch": 0.83, + "learning_rate": 0.00022404457110563429, + "loss": 0.4611, + "step": 4250 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002240423234735438, + "loss": 0.4572, + "step": 4255 + }, + { + "epoch": 0.83, + "learning_rate": 0.00022404007321262685, + "loss": 0.4562, + "step": 4260 + }, + { + "epoch": 0.83, + "learning_rate": 0.00022403782032293898, + "loss": 0.4588, + "step": 4265 + }, + { + "epoch": 0.83, + "learning_rate": 0.00022403556480453577, + "loss": 0.4583, + "step": 4270 + }, + { + "epoch": 0.83, + "learning_rate": 0.00022403330665747285, + "loss": 0.4571, + "step": 4275 + }, + { + "epoch": 0.83, + "learning_rate": 0.000224031045881806, + "loss": 0.4614, + "step": 4280 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002240287824775909, + "loss": 0.4587, + "step": 4285 + }, + { + "epoch": 0.83, + "learning_rate": 0.00022402651644488347, + "loss": 0.4613, + "step": 4290 + }, + { + "epoch": 0.83, + "learning_rate": 0.00022402424778373962, + "loss": 0.4595, + "step": 4295 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002240219764942153, + "loss": 0.4541, + "step": 4300 + }, + { + "epoch": 0.84, + "learning_rate": 0.00022401970257636658, + "loss": 0.4578, + "step": 4305 + }, + { + "epoch": 0.84, + "learning_rate": 0.00022401742603024954, + "loss": 0.4593, + "step": 4310 + }, + { + "epoch": 0.84, + "learning_rate": 0.00022401514685592037, + "loss": 0.4631, + "step": 4315 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002240128650534353, + "loss": 0.4599, + "step": 4320 + }, + { + "epoch": 0.84, + "learning_rate": 0.00022401058062285063, + "loss": 0.4625, + "step": 4325 + }, + { + "epoch": 0.84, + "learning_rate": 0.00022400829356422272, + "loss": 0.4627, + "step": 4330 + }, + { + "epoch": 0.84, + "learning_rate": 0.000224006003877608, + "loss": 0.4688, + "step": 4335 + }, + { + "epoch": 0.84, + "learning_rate": 0.000224003711563063, + "loss": 0.461, + "step": 4340 + }, + { + "epoch": 0.84, + "learning_rate": 0.00022400141662064422, + "loss": 0.4625, + "step": 4345 + }, + { + "epoch": 0.85, + "learning_rate": 0.00022399911905040835, + "loss": 0.4632, + "step": 4350 + }, + { + "epoch": 0.85, + "learning_rate": 0.00022399681885241203, + "loss": 0.4628, + "step": 4355 + }, + { + "epoch": 0.85, + "learning_rate": 0.00022399451602671207, + "loss": 0.4606, + "step": 4360 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002239922105733652, + "loss": 0.4596, + "step": 4365 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002239899024924284, + "loss": 0.4589, + "step": 4370 + }, + { + "epoch": 0.85, + "learning_rate": 0.00022398759178395857, + "loss": 0.4623, + "step": 4375 + }, + { + "epoch": 0.85, + "learning_rate": 0.00022398527844801275, + "loss": 0.4593, + "step": 4380 + }, + { + "epoch": 0.85, + "learning_rate": 0.00022398296248464798, + "loss": 0.4641, + "step": 4385 + }, + { + "epoch": 0.85, + "learning_rate": 0.00022398064389392142, + "loss": 0.4563, + "step": 4390 + }, + { + "epoch": 0.85, + "learning_rate": 0.00022397832267589032, + "loss": 0.4615, + "step": 4395 + }, + { + "epoch": 0.86, + "learning_rate": 0.00022397599883061193, + "loss": 0.4594, + "step": 4400 + }, + { + "epoch": 0.86, + "learning_rate": 0.00022397367235814353, + "loss": 0.4607, + "step": 4405 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002239713432585426, + "loss": 0.4617, + "step": 4410 + }, + { + "epoch": 0.86, + "learning_rate": 0.00022396901153186655, + "loss": 0.455, + "step": 4415 + }, + { + "epoch": 0.86, + "learning_rate": 0.00022396667717817297, + "loss": 0.4597, + "step": 4420 + }, + { + "epoch": 0.86, + "learning_rate": 0.00022396434019751943, + "loss": 0.4645, + "step": 4425 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002239620005899636, + "loss": 0.4605, + "step": 4430 + }, + { + "epoch": 0.86, + "learning_rate": 0.00022395965835556318, + "loss": 0.4627, + "step": 4435 + }, + { + "epoch": 0.86, + "learning_rate": 0.00022395731349437602, + "loss": 0.4639, + "step": 4440 + }, + { + "epoch": 0.86, + "learning_rate": 0.00022395496600645991, + "loss": 0.4582, + "step": 4445 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002239526158918728, + "loss": 0.4626, + "step": 4450 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002239502631506727, + "loss": 0.4584, + "step": 4455 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002239479077829176, + "loss": 0.4584, + "step": 4460 + }, + { + "epoch": 0.87, + "learning_rate": 0.00022394554978866574, + "loss": 0.4598, + "step": 4465 + }, + { + "epoch": 0.87, + "learning_rate": 0.00022394318916797514, + "loss": 0.4575, + "step": 4470 + }, + { + "epoch": 0.87, + "learning_rate": 0.00022394082592090418, + "loss": 0.4588, + "step": 4475 + }, + { + "epoch": 0.87, + "learning_rate": 0.00022393846004751107, + "loss": 0.4603, + "step": 4480 + }, + { + "epoch": 0.87, + "learning_rate": 0.00022393609154785425, + "loss": 0.4623, + "step": 4485 + }, + { + "epoch": 0.87, + "learning_rate": 0.00022393372042199216, + "loss": 0.4701, + "step": 4490 + }, + { + "epoch": 0.87, + "learning_rate": 0.00022393134666998324, + "loss": 0.4745, + "step": 4495 + }, + { + "epoch": 0.87, + "learning_rate": 0.00022392897029188615, + "loss": 0.4779, + "step": 4500 + }, + { + "epoch": 0.88, + "learning_rate": 0.00022392659128775947, + "loss": 0.4711, + "step": 4505 + }, + { + "epoch": 0.88, + "learning_rate": 0.00022392420965766188, + "loss": 0.4729, + "step": 4510 + }, + { + "epoch": 0.88, + "learning_rate": 0.00022392182540165225, + "loss": 0.4711, + "step": 4515 + }, + { + "epoch": 0.88, + "learning_rate": 0.00022391943851978927, + "loss": 0.4638, + "step": 4520 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002239170490121319, + "loss": 0.4675, + "step": 4525 + }, + { + "epoch": 0.88, + "learning_rate": 0.00022391465687873912, + "loss": 0.4635, + "step": 4530 + }, + { + "epoch": 0.88, + "learning_rate": 0.00022391226211966993, + "loss": 0.4661, + "step": 4535 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002239098647349834, + "loss": 0.4676, + "step": 4540 + }, + { + "epoch": 0.88, + "learning_rate": 0.00022390746472473872, + "loss": 0.4635, + "step": 4545 + }, + { + "epoch": 0.88, + "learning_rate": 0.00022390506208899507, + "loss": 0.4681, + "step": 4550 + }, + { + "epoch": 0.89, + "learning_rate": 0.00022390265682781178, + "loss": 0.4633, + "step": 4555 + }, + { + "epoch": 0.89, + "learning_rate": 0.00022390024894124814, + "loss": 0.4556, + "step": 4560 + }, + { + "epoch": 0.89, + "learning_rate": 0.00022389783842936362, + "loss": 0.4647, + "step": 4565 + }, + { + "epoch": 0.89, + "learning_rate": 0.00022389542529221767, + "loss": 0.4582, + "step": 4570 + }, + { + "epoch": 0.89, + "learning_rate": 0.00022389300952986983, + "loss": 0.4609, + "step": 4575 + }, + { + "epoch": 0.89, + "learning_rate": 0.00022389059114237968, + "loss": 0.4613, + "step": 4580 + }, + { + "epoch": 0.89, + "learning_rate": 0.00022388817012980694, + "loss": 0.4629, + "step": 4585 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002238857464922113, + "loss": 0.4552, + "step": 4590 + }, + { + "epoch": 0.89, + "learning_rate": 0.00022388332022965263, + "loss": 0.4627, + "step": 4595 + }, + { + "epoch": 0.89, + "learning_rate": 0.00022388089134219073, + "loss": 0.4551, + "step": 4600 + }, + { + "epoch": 0.9, + "learning_rate": 0.00022387845982988554, + "loss": 0.4576, + "step": 4605 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002238760256927971, + "loss": 0.4625, + "step": 4610 + }, + { + "epoch": 0.9, + "learning_rate": 0.00022387358893098542, + "loss": 0.4607, + "step": 4615 + }, + { + "epoch": 0.9, + "learning_rate": 0.00022387114954451062, + "loss": 0.461, + "step": 4620 + }, + { + "epoch": 0.9, + "learning_rate": 0.00022386870753343292, + "loss": 0.4521, + "step": 4625 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002238662628978126, + "loss": 0.4642, + "step": 4630 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002238638156377099, + "loss": 0.4615, + "step": 4635 + }, + { + "epoch": 0.9, + "learning_rate": 0.00022386136575318526, + "loss": 0.462, + "step": 4640 + }, + { + "epoch": 0.9, + "learning_rate": 0.00022385891324429915, + "loss": 0.4597, + "step": 4645 + }, + { + "epoch": 0.9, + "learning_rate": 0.00022385645811111199, + "loss": 0.4586, + "step": 4650 + }, + { + "epoch": 0.9, + "learning_rate": 0.00022385400035368445, + "loss": 0.4588, + "step": 4655 + }, + { + "epoch": 0.91, + "learning_rate": 0.00022385153997207712, + "loss": 0.4607, + "step": 4660 + }, + { + "epoch": 0.91, + "learning_rate": 0.00022384907696635078, + "loss": 0.4547, + "step": 4665 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002238466113365661, + "loss": 0.4616, + "step": 4670 + }, + { + "epoch": 0.91, + "learning_rate": 0.000223844143082784, + "loss": 0.4612, + "step": 4675 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002238416722050653, + "loss": 0.4623, + "step": 4680 + }, + { + "epoch": 0.91, + "learning_rate": 0.00022383919870347109, + "loss": 0.4573, + "step": 4685 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002238367225780623, + "loss": 0.4578, + "step": 4690 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002238342438289, + "loss": 0.4663, + "step": 4695 + }, + { + "epoch": 0.91, + "learning_rate": 0.00022383176245604545, + "loss": 0.4643, + "step": 4700 + }, + { + "epoch": 0.91, + "learning_rate": 0.00022382927845955984, + "loss": 0.4581, + "step": 4705 + }, + { + "epoch": 0.92, + "learning_rate": 0.00022382679183950442, + "loss": 0.4594, + "step": 4710 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002238243025959406, + "loss": 0.4584, + "step": 4715 + }, + { + "epoch": 0.92, + "learning_rate": 0.00022382181072892973, + "loss": 0.4596, + "step": 4720 + }, + { + "epoch": 0.92, + "learning_rate": 0.00022381931623853337, + "loss": 0.4583, + "step": 4725 + }, + { + "epoch": 0.92, + "learning_rate": 0.00022381681912481304, + "loss": 0.4562, + "step": 4730 + }, + { + "epoch": 0.92, + "learning_rate": 0.00022381431938783036, + "loss": 0.4582, + "step": 4735 + }, + { + "epoch": 0.92, + "learning_rate": 0.00022381181702764696, + "loss": 0.4565, + "step": 4740 + }, + { + "epoch": 0.92, + "learning_rate": 0.00022380931204432462, + "loss": 0.4614, + "step": 4745 + }, + { + "epoch": 0.92, + "learning_rate": 0.00022380680443792519, + "loss": 0.4569, + "step": 4750 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002238042942085105, + "loss": 0.4567, + "step": 4755 + }, + { + "epoch": 0.93, + "learning_rate": 0.00022380178135614245, + "loss": 0.4606, + "step": 4760 + }, + { + "epoch": 0.93, + "learning_rate": 0.00022379926588088312, + "loss": 0.4625, + "step": 4765 + }, + { + "epoch": 0.93, + "learning_rate": 0.00022379674778279452, + "loss": 0.4611, + "step": 4770 + }, + { + "epoch": 0.93, + "learning_rate": 0.00022379422706193884, + "loss": 0.4607, + "step": 4775 + }, + { + "epoch": 0.93, + "learning_rate": 0.00022379170371837818, + "loss": 0.4517, + "step": 4780 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002237891777521749, + "loss": 0.4608, + "step": 4785 + }, + { + "epoch": 0.93, + "learning_rate": 0.00022378664916339127, + "loss": 0.4584, + "step": 4790 + }, + { + "epoch": 0.93, + "learning_rate": 0.00022378411795208968, + "loss": 0.4536, + "step": 4795 + }, + { + "epoch": 0.93, + "learning_rate": 0.00022378158411833263, + "loss": 0.4582, + "step": 4800 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002237790476621826, + "loss": 0.463, + "step": 4805 + }, + { + "epoch": 0.93, + "learning_rate": 0.00022377650858370216, + "loss": 0.4633, + "step": 4810 + }, + { + "epoch": 0.94, + "learning_rate": 0.00022377396688295402, + "loss": 0.4575, + "step": 4815 + }, + { + "epoch": 0.94, + "learning_rate": 0.00022377142256000082, + "loss": 0.4569, + "step": 4820 + }, + { + "epoch": 0.94, + "learning_rate": 0.00022376887561490537, + "loss": 0.4615, + "step": 4825 + }, + { + "epoch": 0.94, + "learning_rate": 0.00022376632604773056, + "loss": 0.4549, + "step": 4830 + }, + { + "epoch": 0.94, + "learning_rate": 0.00022376377385853924, + "loss": 0.4571, + "step": 4835 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002237612190473944, + "loss": 0.4603, + "step": 4840 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002237586616143591, + "loss": 0.4601, + "step": 4845 + }, + { + "epoch": 0.94, + "learning_rate": 0.00022375610155949638, + "loss": 0.4576, + "step": 4850 + }, + { + "epoch": 0.94, + "learning_rate": 0.00022375353888286946, + "loss": 0.466, + "step": 4855 + }, + { + "epoch": 0.94, + "learning_rate": 0.00022375097358454156, + "loss": 0.4605, + "step": 4860 + }, + { + "epoch": 0.95, + "learning_rate": 0.00022374840566457597, + "loss": 0.4584, + "step": 4865 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002237458351230361, + "loss": 0.4573, + "step": 4870 + }, + { + "epoch": 0.95, + "learning_rate": 0.00022374326195998524, + "loss": 0.4638, + "step": 4875 + }, + { + "epoch": 0.95, + "learning_rate": 0.00022374068617548703, + "loss": 0.4583, + "step": 4880 + }, + { + "epoch": 0.95, + "learning_rate": 0.00022373810776960497, + "loss": 0.4495, + "step": 4885 + }, + { + "epoch": 0.95, + "learning_rate": 0.00022373552674240265, + "loss": 0.4516, + "step": 4890 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002237329430939438, + "loss": 0.4582, + "step": 4895 + }, + { + "epoch": 0.95, + "learning_rate": 0.00022373035682429215, + "loss": 0.4589, + "step": 4900 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002237277679335115, + "loss": 0.4604, + "step": 4905 + }, + { + "epoch": 0.95, + "learning_rate": 0.00022372517642166572, + "loss": 0.4573, + "step": 4910 + }, + { + "epoch": 0.96, + "learning_rate": 0.00022372258228881882, + "loss": 0.4599, + "step": 4915 + }, + { + "epoch": 0.96, + "learning_rate": 0.00022371998553503473, + "loss": 0.4591, + "step": 4920 + }, + { + "epoch": 0.96, + "learning_rate": 0.00022371738616037756, + "loss": 0.4611, + "step": 4925 + }, + { + "epoch": 0.96, + "learning_rate": 0.00022371478416491146, + "loss": 0.4547, + "step": 4930 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002237121795487006, + "loss": 0.4596, + "step": 4935 + }, + { + "epoch": 0.96, + "learning_rate": 0.00022370957231180924, + "loss": 0.4626, + "step": 4940 + }, + { + "epoch": 0.96, + "learning_rate": 0.00022370696245430175, + "loss": 0.457, + "step": 4945 + }, + { + "epoch": 0.96, + "learning_rate": 0.00022370434997624248, + "loss": 0.4613, + "step": 4950 + }, + { + "epoch": 0.96, + "learning_rate": 0.00022370173487769595, + "loss": 0.4559, + "step": 4955 + }, + { + "epoch": 0.96, + "learning_rate": 0.00022369911715872662, + "loss": 0.4617, + "step": 4960 + }, + { + "epoch": 0.97, + "learning_rate": 0.00022369649681939913, + "loss": 0.4636, + "step": 4965 + }, + { + "epoch": 0.97, + "learning_rate": 0.00022369387385977812, + "loss": 0.4592, + "step": 4970 + }, + { + "epoch": 0.97, + "learning_rate": 0.00022369124827992828, + "loss": 0.4593, + "step": 4975 + }, + { + "epoch": 0.97, + "learning_rate": 0.00022368862007991443, + "loss": 0.4607, + "step": 4980 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002236859892598014, + "loss": 0.458, + "step": 4985 + }, + { + "epoch": 0.97, + "learning_rate": 0.00022368335581965414, + "loss": 0.4626, + "step": 4990 + }, + { + "epoch": 0.97, + "learning_rate": 0.00022368071975953756, + "loss": 0.4562, + "step": 4995 + }, + { + "epoch": 0.97, + "learning_rate": 0.00022367808107951674, + "loss": 0.4576, + "step": 5000 + }, + { + "epoch": 0.97, + "eval_loss": 0.44060567021369934, + "eval_runtime": 41.3498, + "eval_samples_per_second": 120.919, + "eval_steps_per_second": 1.282, + "step": 5000 + } + ], + "max_steps": 100000, + "num_train_epochs": 20, + "total_flos": 5.257519643492352e+20, + "trial_name": null, + "trial_params": null +}