diff --git "a/trainer_state.json" "b/trainer_state.json" --- "a/trainer_state.json" +++ "b/trainer_state.json" @@ -1,4799 +1,3843 @@ { "best_metric": null, "best_model_checkpoint": null, - "epoch": 4.999841596705211, - "global_step": 3945, + "epoch": 3.9998415967052114, + "global_step": 3156, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, - "learning_rate": 6.329113924050633e-05, - "loss": 5.9056, + "learning_rate": 9.374999999999999e-05, + "loss": 1.8139, "step": 5 }, { "epoch": 0.01, - "learning_rate": 0.00012658227848101267, - "loss": 4.729, + "learning_rate": 0.00018749999999999998, + "loss": 1.7876, "step": 10 }, { "epoch": 0.02, - "learning_rate": 0.000189873417721519, - "loss": 4.2747, + "learning_rate": 0.00028125, + "loss": 1.8662, "step": 15 }, { "epoch": 0.03, - "learning_rate": 0.00025316455696202533, - "loss": 3.9938, + "learning_rate": 0.00037499999999999995, + "loss": 1.8047, "step": 20 }, { "epoch": 0.03, - "learning_rate": 0.00031645569620253165, - "loss": 3.7136, + "learning_rate": 0.00046875, + "loss": 1.9482, "step": 25 }, { "epoch": 0.04, - "learning_rate": 0.000379746835443038, - "loss": 3.6955, + "learning_rate": 0.0005625, + "loss": 1.9624, "step": 30 }, { "epoch": 0.04, - "learning_rate": 0.0004430379746835443, - "loss": 3.4653, + "learning_rate": 0.0005999986347533043, + "loss": 1.8496, "step": 35 }, { "epoch": 0.05, - "learning_rate": 0.0005063291139240507, - "loss": 3.3515, + "learning_rate": 0.0005999902916240525, + "loss": 1.8962, "step": 40 }, { "epoch": 0.06, - "learning_rate": 0.000569620253164557, - "loss": 3.2781, + "learning_rate": 0.0005999743640466132, + "loss": 1.9655, "step": 45 }, { "epoch": 0.06, - "learning_rate": 0.0006329113924050633, - "loss": 3.2616, + "learning_rate": 0.0005999508524236727, + "loss": 1.9308, "step": 50 }, { "epoch": 0.07, - "learning_rate": 0.0006962025316455697, - "loss": 3.2314, + "learning_rate": 0.000599919757349659, + "loss": 2.0406, "step": 55 }, { "epoch": 0.08, - "learning_rate": 0.000759493670886076, - "loss": 3.1758, + "learning_rate": 0.0005998810796107273, + "loss": 1.8524, "step": 60 }, { "epoch": 0.08, - "learning_rate": 0.0008227848101265824, - "loss": 3.1956, + "learning_rate": 0.0005998348201847405, + "loss": 1.9677, "step": 65 }, { "epoch": 0.09, - "learning_rate": 0.0008860759493670886, - "loss": 3.1717, + "learning_rate": 0.0005997809802412437, + "loss": 1.963, "step": 70 }, { "epoch": 0.1, - "learning_rate": 0.0009493670886075949, - "loss": 3.0096, + "learning_rate": 0.0005997195611414353, + "loss": 1.7783, "step": 75 }, { "epoch": 0.1, - "learning_rate": 0.0009999998349118006, - "loss": 3.0798, + "learning_rate": 0.000599650564438132, + "loss": 1.9602, "step": 80 }, { "epoch": 0.11, - "learning_rate": 0.000999994056836268, - "loss": 3.0737, + "learning_rate": 0.0005995739918757302, + "loss": 1.941, "step": 85 }, { "epoch": 0.11, - "learning_rate": 0.000999980024459781, - "loss": 3.1079, + "learning_rate": 0.000599489845390161, + "loss": 1.908, "step": 90 }, { "epoch": 0.12, - "learning_rate": 0.0009999577380139975, - "loss": 2.9692, + "learning_rate": 0.0005993981271088423, + "loss": 1.8707, "step": 95 }, { "epoch": 0.13, - "learning_rate": 0.0009999271978668395, - "loss": 3.0226, + "learning_rate": 0.0005992988393506244, + "loss": 1.9848, "step": 100 }, { "epoch": 0.13, - "learning_rate": 0.0009998884045224886, - "loss": 2.8905, + "learning_rate": 0.0005991919846257313, + "loss": 1.9445, "step": 105 }, { "epoch": 0.14, - "learning_rate": 0.0009998413586213759, - "loss": 2.9354, + "learning_rate": 0.0005990775656356976, + "loss": 1.8844, "step": 110 }, { "epoch": 0.15, - "learning_rate": 0.0009997860609401732, - "loss": 2.9668, + "learning_rate": 0.0005989555852732997, + "loss": 1.9902, "step": 115 }, { "epoch": 0.15, - "learning_rate": 0.000999722512391778, - "loss": 2.939, + "learning_rate": 0.0005988260466224834, + "loss": 1.8382, "step": 120 }, { "epoch": 0.16, - "learning_rate": 0.0009996507140253013, - "loss": 2.9213, + "learning_rate": 0.0005986889529582852, + "loss": 2.0264, "step": 125 }, { "epoch": 0.16, - "learning_rate": 0.000999570667026047, - "loss": 2.9371, + "learning_rate": 0.00059854430774675, + "loss": 1.9612, "step": 130 }, { "epoch": 0.17, - "learning_rate": 0.0009994823727154955, - "loss": 2.9326, + "learning_rate": 0.000598392114644843, + "loss": 2.0919, "step": 135 }, { "epoch": 0.18, - "learning_rate": 0.0009993858325512794, - "loss": 2.9915, + "learning_rate": 0.0005982323775003579, + "loss": 1.9855, "step": 140 }, { "epoch": 0.18, - "learning_rate": 0.000999281048127161, - "loss": 2.9352, + "learning_rate": 0.0005980651003518189, + "loss": 1.8857, "step": 145 }, { "epoch": 0.19, - "learning_rate": 0.0009991680211730051, - "loss": 2.8284, + "learning_rate": 0.0005978902874283793, + "loss": 1.972, "step": 150 }, { "epoch": 0.2, - "learning_rate": 0.000999046753554751, - "loss": 2.8232, + "learning_rate": 0.0005977079431497138, + "loss": 1.8702, "step": 155 }, { "epoch": 0.2, - "learning_rate": 0.000998917247274381, - "loss": 2.8925, + "learning_rate": 0.0005975180721259074, + "loss": 1.886, "step": 160 }, { "epoch": 0.21, - "learning_rate": 0.0009987795044698884, - "loss": 2.8381, + "learning_rate": 0.0005973206791573386, + "loss": 1.9137, "step": 165 }, { "epoch": 0.22, - "learning_rate": 0.0009986335274152413, - "loss": 2.8939, + "learning_rate": 0.0005971157692345581, + "loss": 1.9225, "step": 170 }, { "epoch": 0.22, - "learning_rate": 0.0009984793185203455, - "loss": 2.9206, + "learning_rate": 0.0005969033475381623, + "loss": 1.8239, "step": 175 }, { "epoch": 0.23, - "learning_rate": 0.0009983168803310042, - "loss": 2.733, + "learning_rate": 0.000596683419438663, + "loss": 1.9465, "step": 180 }, { "epoch": 0.23, - "learning_rate": 0.0009981462155288774, - "loss": 2.8812, + "learning_rate": 0.0005964559904963512, + "loss": 1.8873, "step": 185 }, { "epoch": 0.24, - "learning_rate": 0.000997967326931435, - "loss": 2.7199, + "learning_rate": 0.0005962210664611563, + "loss": 1.9938, "step": 190 }, { "epoch": 0.25, - "learning_rate": 0.0009977802174919133, - "loss": 2.8825, + "learning_rate": 0.000595978653272501, + "loss": 1.9666, "step": 195 }, { "epoch": 0.25, - "learning_rate": 0.0009975848902992641, - "loss": 2.8283, + "learning_rate": 0.0005957287570591513, + "loss": 1.8345, "step": 200 }, { "epoch": 0.26, - "learning_rate": 0.0009973813485781044, - "loss": 2.8447, + "learning_rate": 0.000595471384139061, + "loss": 1.983, "step": 205 }, { "epoch": 0.27, - "learning_rate": 0.000997169595688664, - "loss": 2.7746, + "learning_rate": 0.000595206541019213, + "loss": 1.9706, "step": 210 }, { "epoch": 0.27, - "learning_rate": 0.0009969496351267277, - "loss": 2.6779, + "learning_rate": 0.0005949342343954535, + "loss": 1.9829, "step": 215 }, { "epoch": 0.28, - "learning_rate": 0.000996721470523581, - "loss": 2.8015, + "learning_rate": 0.0005946544711523236, + "loss": 1.8883, "step": 220 }, { "epoch": 0.29, - "learning_rate": 0.0009964851056459465, - "loss": 2.8746, + "learning_rate": 0.0005943672583628848, + "loss": 2.0109, "step": 225 }, { "epoch": 0.29, - "learning_rate": 0.0009962405443959244, - "loss": 2.7497, + "learning_rate": 0.0005940726032885408, + "loss": 1.9654, "step": 230 }, { "epoch": 0.3, - "learning_rate": 0.0009959877908109274, - "loss": 2.8197, + "learning_rate": 0.0005937705133788529, + "loss": 1.8733, "step": 235 }, { "epoch": 0.3, - "learning_rate": 0.0009957268490636132, - "loss": 2.7054, + "learning_rate": 0.0005934609962713525, + "loss": 1.9419, "step": 240 }, { "epoch": 0.31, - "learning_rate": 0.000995457723461816, - "loss": 2.7127, + "learning_rate": 0.0005931440597913479, + "loss": 1.9287, "step": 245 }, { "epoch": 0.32, - "learning_rate": 0.0009951804184484766, - "loss": 2.7058, + "learning_rate": 0.0005928197119517257, + "loss": 1.9507, "step": 250 }, { "epoch": 0.32, - "learning_rate": 0.0009948949386015676, - "loss": 2.7129, + "learning_rate": 0.0005924879609527498, + "loss": 1.9224, "step": 255 }, { "epoch": 0.33, - "learning_rate": 0.0009946012886340176, - "loss": 2.7425, + "learning_rate": 0.0005921488151818521, + "loss": 1.9124, "step": 260 }, { "epoch": 0.34, - "learning_rate": 0.000994299473393635, - "loss": 2.7676, + "learning_rate": 0.000591802283213422, + "loss": 1.9667, "step": 265 }, { "epoch": 0.34, - "learning_rate": 0.0009939894978630267, - "loss": 2.6728, + "learning_rate": 0.0005914483738085887, + "loss": 1.955, "step": 270 }, { "epoch": 0.35, - "learning_rate": 0.0009936713671595157, - "loss": 2.7671, + "learning_rate": 0.0005910870959150005, + "loss": 1.949, "step": 275 }, { "epoch": 0.35, - "learning_rate": 0.0009933450865350583, - "loss": 2.6662, + "learning_rate": 0.0005907184586665977, + "loss": 1.7752, "step": 280 }, { "epoch": 0.36, - "learning_rate": 0.000993010661376155, - "loss": 2.7334, + "learning_rate": 0.0005903424713833823, + "loss": 1.8766, "step": 285 }, { "epoch": 0.37, - "learning_rate": 0.000992668097203763, - "loss": 2.7489, + "learning_rate": 0.0005899591435711821, + "loss": 2.0573, "step": 290 }, { "epoch": 0.37, - "learning_rate": 0.0009923173996732057, - "loss": 2.6428, + "learning_rate": 0.0005895684849214106, + "loss": 1.9837, "step": 295 }, { "epoch": 0.38, - "learning_rate": 0.0009919585745740776, - "loss": 2.7059, + "learning_rate": 0.0005891705053108217, + "loss": 2.0551, "step": 300 }, { "epoch": 0.39, - "learning_rate": 0.0009915916278301496, - "loss": 2.6961, + "learning_rate": 0.0005887652148012601, + "loss": 2.0254, "step": 305 }, { "epoch": 0.39, - "learning_rate": 0.0009912165654992716, - "loss": 2.8165, + "learning_rate": 0.000588352623639407, + "loss": 2.0329, "step": 310 }, { "epoch": 0.4, - "learning_rate": 0.0009908333937732718, - "loss": 2.5846, + "learning_rate": 0.0005879327422565209, + "loss": 1.8451, "step": 315 }, { "epoch": 0.41, - "learning_rate": 0.0009904421189778551, - "loss": 2.6058, + "learning_rate": 0.000587505581268174, + "loss": 1.9613, "step": 320 }, { "epoch": 0.41, - "learning_rate": 0.000990042747572498, - "loss": 2.6858, + "learning_rate": 0.0005870711514739836, + "loss": 1.9022, "step": 325 }, { "epoch": 0.42, - "learning_rate": 0.0009896352861503426, - "loss": 2.6797, + "learning_rate": 0.0005866294638573397, + "loss": 2.0333, "step": 330 }, { "epoch": 0.42, - "learning_rate": 0.0009892197414380869, - "loss": 2.7078, + "learning_rate": 0.0005861805295851261, + "loss": 1.8614, "step": 335 }, { "epoch": 0.43, - "learning_rate": 0.0009887961202958747, - "loss": 2.5945, + "learning_rate": 0.0005857243600074394, + "loss": 1.937, "step": 340 }, { "epoch": 0.44, - "learning_rate": 0.000988364429717182, - "loss": 2.6061, + "learning_rate": 0.0005852609666573011, + "loss": 1.8581, "step": 345 }, { "epoch": 0.44, - "learning_rate": 0.0009879246768287019, - "loss": 2.6557, + "learning_rate": 0.0005847903612503668, + "loss": 1.9423, "step": 350 }, { "epoch": 0.45, - "learning_rate": 0.0009874768688902251, - "loss": 2.6387, + "learning_rate": 0.000584312555684629, + "loss": 1.9807, "step": 355 }, { "epoch": 0.46, - "learning_rate": 0.0009870210132945235, - "loss": 2.6668, + "learning_rate": 0.0005838275620401171, + "loss": 1.9902, "step": 360 }, { "epoch": 0.46, - "learning_rate": 0.0009865571175672243, - "loss": 2.7257, + "learning_rate": 0.0005833353925785922, + "loss": 1.8792, "step": 365 }, { "epoch": 0.47, - "learning_rate": 0.0009860851893666888, - "loss": 2.7604, + "learning_rate": 0.0005828360597432358, + "loss": 1.9335, "step": 370 }, { "epoch": 0.48, - "learning_rate": 0.0009856052364838846, - "loss": 2.6524, + "learning_rate": 0.0005823295761583368, + "loss": 1.9518, "step": 375 }, { "epoch": 0.48, - "learning_rate": 0.0009851172668422564, - "loss": 2.5279, + "learning_rate": 0.0005818159546289711, + "loss": 2.0066, "step": 380 }, { "epoch": 0.49, - "learning_rate": 0.0009846212884975969, - "loss": 2.5394, + "learning_rate": 0.0005812952081406786, + "loss": 2.0164, "step": 385 }, { "epoch": 0.49, - "learning_rate": 0.0009841173096379124, - "loss": 2.6585, + "learning_rate": 0.0005807673498591347, + "loss": 2.0275, "step": 390 }, { "epoch": 0.5, - "learning_rate": 0.000983605338583288, - "loss": 2.6494, + "learning_rate": 0.0005802323931298169, + "loss": 1.983, "step": 395 }, { "epoch": 0.51, - "learning_rate": 0.0009830853837857507, - "loss": 2.6424, + "learning_rate": 0.0005796903514776685, + "loss": 1.9721, "step": 400 }, { "epoch": 0.51, - "learning_rate": 0.0009825574538291292, - "loss": 2.6346, + "learning_rate": 0.0005791412386067555, + "loss": 1.8981, "step": 405 }, { "epoch": 0.52, - "learning_rate": 0.000982021557428913, - "loss": 2.6241, + "learning_rate": 0.000578585068399921, + "loss": 2.073, "step": 410 }, { "epoch": 0.53, - "learning_rate": 0.0009814777034321067, - "loss": 2.5922, + "learning_rate": 0.0005780218549184339, + "loss": 1.9388, "step": 415 }, { "epoch": 0.53, - "learning_rate": 0.0009809259008170868, - "loss": 2.6258, + "learning_rate": 0.000577451612401633, + "loss": 2.0487, "step": 420 }, { "epoch": 0.54, - "learning_rate": 0.0009803661586934513, - "loss": 2.6141, + "learning_rate": 0.0005768743552665678, + "loss": 2.0537, "step": 425 }, { "epoch": 0.54, - "learning_rate": 0.0009797984863018697, - "loss": 2.624, + "learning_rate": 0.0005762900981076332, + "loss": 1.9692, "step": 430 }, { "epoch": 0.55, - "learning_rate": 0.000979222893013931, - "loss": 2.6261, + "learning_rate": 0.000575698855696201, + "loss": 1.9719, "step": 435 }, { "epoch": 0.56, - "learning_rate": 0.0009786393883319884, - "loss": 2.4675, + "learning_rate": 0.0005751006429802467, + "loss": 1.9929, "step": 440 }, { "epoch": 0.56, - "learning_rate": 0.0009780479818890032, - "loss": 2.6471, + "learning_rate": 0.0005744954750839706, + "loss": 2.0479, "step": 445 }, { "epoch": 0.57, - "learning_rate": 0.0009774486834483848, - "loss": 2.6596, + "learning_rate": 0.0005738833673074165, + "loss": 1.8216, "step": 450 }, { "epoch": 0.58, - "learning_rate": 0.0009768415029038306, - "loss": 2.6316, + "learning_rate": 0.0005732643351260843, + "loss": 1.8762, "step": 455 }, { "epoch": 0.58, - "learning_rate": 0.0009762264502791609, - "loss": 2.6561, + "learning_rate": 0.0005726383941905386, + "loss": 1.9418, "step": 460 }, { "epoch": 0.59, - "learning_rate": 0.0009756035357281559, - "loss": 2.6207, + "learning_rate": 0.0005720055603260138, + "loss": 2.0108, "step": 465 }, { "epoch": 0.6, - "learning_rate": 0.0009749727695343859, - "loss": 2.4761, + "learning_rate": 0.0005713658495320128, + "loss": 1.9163, "step": 470 }, { "epoch": 0.6, - "learning_rate": 0.0009743341621110429, - "loss": 2.5767, + "learning_rate": 0.000570719277981904, + "loss": 1.9502, "step": 475 }, { "epoch": 0.61, - "learning_rate": 0.0009736877240007677, - "loss": 2.5302, + "learning_rate": 0.0005700658620225108, + "loss": 2.1221, "step": 480 }, { "epoch": 0.61, - "learning_rate": 0.0009730334658754766, - "loss": 2.5426, + "learning_rate": 0.0005694056181736996, + "loss": 1.9281, "step": 485 }, { "epoch": 0.62, - "learning_rate": 0.0009723713985361853, - "loss": 2.5384, + "learning_rate": 0.0005687385631279615, + "loss": 2.0308, "step": 490 }, { "epoch": 0.63, - "learning_rate": 0.0009717015329128294, - "loss": 2.4947, + "learning_rate": 0.0005680647137499902, + "loss": 1.9564, "step": 495 }, { "epoch": 0.63, - "learning_rate": 0.0009710238800640854, - "loss": 2.5495, + "learning_rate": 0.0005673840870762561, + "loss": 1.9229, "step": 500 }, { "epoch": 0.64, - "learning_rate": 0.0009703384511771874, - "loss": 2.5251, + "learning_rate": 0.0005666967003145753, + "loss": 2.0006, "step": 505 }, { "epoch": 0.65, - "learning_rate": 0.0009696452575677426, - "loss": 2.4983, + "learning_rate": 0.0005660025708436743, + "loss": 2.0517, "step": 510 }, { "epoch": 0.65, - "learning_rate": 0.0009689443106795442, - "loss": 2.4939, + "learning_rate": 0.0005653017162127511, + "loss": 1.9226, "step": 515 }, { "epoch": 0.66, - "learning_rate": 0.000968235622084383, - "loss": 2.3895, + "learning_rate": 0.0005645941541410314, + "loss": 1.9131, "step": 520 }, { "epoch": 0.67, - "learning_rate": 0.0009675192034818561, - "loss": 2.4947, + "learning_rate": 0.00056387990251732, + "loss": 2.0067, "step": 525 }, { "epoch": 0.67, - "learning_rate": 0.0009667950666991733, - "loss": 2.4988, + "learning_rate": 0.0005631589793995495, + "loss": 1.7818, "step": 530 }, { "epoch": 0.68, - "learning_rate": 0.0009660632236909627, - "loss": 2.573, + "learning_rate": 0.0005624314030143236, + "loss": 1.9343, "step": 535 }, { "epoch": 0.68, - "learning_rate": 0.0009653236865390729, - "loss": 2.6162, + "learning_rate": 0.0005616971917564549, + "loss": 1.9357, "step": 540 }, { "epoch": 0.69, - "learning_rate": 0.0009645764674523731, - "loss": 2.613, + "learning_rate": 0.000560956364188502, + "loss": 1.8905, "step": 545 }, { "epoch": 0.7, - "learning_rate": 0.0009638215787665529, - "loss": 2.508, + "learning_rate": 0.0005602089390402986, + "loss": 1.9669, "step": 550 }, { "epoch": 0.7, - "learning_rate": 0.0009630590329439169, - "loss": 2.5019, + "learning_rate": 0.0005594549352084807, + "loss": 1.9771, "step": 555 }, { "epoch": 0.71, - "learning_rate": 0.0009622888425731801, - "loss": 2.622, + "learning_rate": 0.0005586943717560083, + "loss": 1.9627, "step": 560 }, { "epoch": 0.72, - "learning_rate": 0.0009615110203692601, - "loss": 2.4998, + "learning_rate": 0.0005579272679116841, + "loss": 1.9329, "step": 565 }, { "epoch": 0.72, - "learning_rate": 0.0009607255791730664, - "loss": 2.467, + "learning_rate": 0.000557153643069667, + "loss": 1.9314, "step": 570 }, { "epoch": 0.73, - "learning_rate": 0.0009599325319512893, - "loss": 2.6073, + "learning_rate": 0.0005563735167889817, + "loss": 1.8892, "step": 575 }, { "epoch": 0.73, - "learning_rate": 0.0009591318917961853, - "loss": 2.6101, + "learning_rate": 0.0005555869087930242, + "loss": 2.0062, "step": 580 }, { "epoch": 0.74, - "learning_rate": 0.000958323671925361, - "loss": 2.4277, + "learning_rate": 0.0005547938389690635, + "loss": 1.9624, "step": 585 }, { "epoch": 0.75, - "learning_rate": 0.0009575078856815554, - "loss": 2.5171, + "learning_rate": 0.0005539943273677384, + "loss": 2.0077, "step": 590 }, { "epoch": 0.75, - "learning_rate": 0.0009566845465324185, - "loss": 2.5376, + "learning_rate": 0.0005531883942025507, + "loss": 2.0083, "step": 595 }, { "epoch": 0.76, - "learning_rate": 0.0009558536680702903, - "loss": 2.5084, + "learning_rate": 0.0005523760598493544, + "loss": 2.0212, "step": 600 }, { "epoch": 0.77, - "learning_rate": 0.0009550152640119756, - "loss": 2.532, + "learning_rate": 0.0005515573448458399, + "loss": 1.9307, "step": 605 }, { "epoch": 0.77, - "learning_rate": 0.0009541693481985178, - "loss": 2.5169, + "learning_rate": 0.0005507322698910156, + "loss": 1.7577, "step": 610 }, { "epoch": 0.78, - "learning_rate": 0.0009533159345949704, - "loss": 2.6213, + "learning_rate": 0.000549900855844684, + "loss": 1.9654, "step": 615 }, { "epoch": 0.79, - "learning_rate": 0.000952455037290166, - "loss": 2.4695, + "learning_rate": 0.0005490631237269147, + "loss": 1.7376, "step": 620 }, { "epoch": 0.79, - "learning_rate": 0.0009515866704964846, - "loss": 2.4018, + "learning_rate": 0.0005482190947175124, + "loss": 1.9602, "step": 625 }, { "epoch": 0.8, - "learning_rate": 0.0009507108485496185, - "loss": 2.5084, + "learning_rate": 0.0005473687901554821, + "loss": 1.9872, "step": 630 }, { "epoch": 0.8, - "learning_rate": 0.0009498275859083352, - "loss": 2.5441, + "learning_rate": 0.0005465122315384889, + "loss": 1.9741, "step": 635 }, { "epoch": 0.81, - "learning_rate": 0.0009489368971542393, - "loss": 2.4815, + "learning_rate": 0.0005456494405223152, + "loss": 1.9905, "step": 640 }, { "epoch": 0.82, - "learning_rate": 0.0009480387969915317, - "loss": 2.468, + "learning_rate": 0.0005447804389203129, + "loss": 1.8507, "step": 645 }, { "epoch": 0.82, - "learning_rate": 0.0009471333002467668, - "loss": 2.5972, + "learning_rate": 0.0005439052487028517, + "loss": 1.987, "step": 650 }, { "epoch": 0.83, - "learning_rate": 0.0009462204218686074, - "loss": 2.4825, + "learning_rate": 0.0005430238919967637, + "loss": 1.9029, "step": 655 }, { "epoch": 0.84, - "learning_rate": 0.0009453001769275786, - "loss": 2.5862, + "learning_rate": 0.0005421363910847844, + "loss": 1.9159, "step": 660 }, { "epoch": 0.84, - "learning_rate": 0.0009443725806158182, - "loss": 2.5174, + "learning_rate": 0.0005412427684049888, + "loss": 1.914, "step": 665 }, { "epoch": 0.85, - "learning_rate": 0.0009434376482468265, - "loss": 2.3676, + "learning_rate": 0.0005403430465502244, + "loss": 1.9955, "step": 670 }, { "epoch": 0.86, - "learning_rate": 0.0009424953952552133, - "loss": 2.4715, + "learning_rate": 0.00053943724826754, + "loss": 1.9325, "step": 675 }, { "epoch": 0.86, - "learning_rate": 0.0009415458371964429, - "loss": 2.5297, + "learning_rate": 0.0005385253964576104, + "loss": 1.8784, "step": 680 }, { "epoch": 0.87, - "learning_rate": 0.0009405889897465778, - "loss": 2.5442, + "learning_rate": 0.000537607514174158, + "loss": 1.8416, "step": 685 }, { "epoch": 0.87, - "learning_rate": 0.0009396248687020191, - "loss": 2.5398, + "learning_rate": 0.0005366836246233687, + "loss": 1.9717, "step": 690 }, { "epoch": 0.88, - "learning_rate": 0.000938653489979247, - "loss": 2.6478, + "learning_rate": 0.0005357537511633068, + "loss": 1.8637, "step": 695 }, { "epoch": 0.89, - "learning_rate": 0.000937674869614556, - "loss": 2.4237, + "learning_rate": 0.0005348179173033233, + "loss": 1.804, "step": 700 }, { "epoch": 0.89, - "learning_rate": 0.000936689023763793, - "loss": 2.5133, + "learning_rate": 0.000533876146703462, + "loss": 1.9949, "step": 705 }, { "epoch": 0.9, - "learning_rate": 0.0009356959687020876, - "loss": 2.3837, + "learning_rate": 0.0005329284631738609, + "loss": 1.9731, "step": 710 }, { "epoch": 0.91, - "learning_rate": 0.0009346957208235855, - "loss": 2.5308, + "learning_rate": 0.0005319748906741511, + "loss": 1.8443, "step": 715 }, { "epoch": 0.91, - "learning_rate": 0.000933688296641177, - "loss": 2.4463, + "learning_rate": 0.0005310154533128501, + "loss": 1.8656, "step": 720 }, { "epoch": 0.92, - "learning_rate": 0.0009326737127862249, - "loss": 2.4815, + "learning_rate": 0.0005300501753467525, + "loss": 1.9067, "step": 725 }, { "epoch": 0.93, - "learning_rate": 0.0009316519860082886, - "loss": 2.5258, + "learning_rate": 0.0005290790811803176, + "loss": 1.9235, "step": 730 }, { "epoch": 0.93, - "learning_rate": 0.0009306231331748496, - "loss": 2.4161, + "learning_rate": 0.0005281021953650507, + "loss": 2.0954, "step": 735 }, { "epoch": 0.94, - "learning_rate": 0.0009295871712710317, - "loss": 2.5333, + "learning_rate": 0.0005271195425988842, + "loss": 1.9317, "step": 740 }, { "epoch": 0.94, - "learning_rate": 0.0009285441173993206, - "loss": 2.3897, + "learning_rate": 0.000526131147725552, + "loss": 1.9577, "step": 745 }, { "epoch": 0.95, - "learning_rate": 0.0009274939887792823, - "loss": 2.5545, + "learning_rate": 0.0005251370357339616, + "loss": 1.8044, "step": 750 }, { "epoch": 0.96, - "learning_rate": 0.0009264368027472784, - "loss": 2.3463, + "learning_rate": 0.0005241372317575629, + "loss": 2.0009, "step": 755 }, { "epoch": 0.96, - "learning_rate": 0.0009253725767561793, - "loss": 2.4669, + "learning_rate": 0.0005231317610737121, + "loss": 1.875, "step": 760 }, { "epoch": 0.97, - "learning_rate": 0.0009243013283750773, - "loss": 2.331, + "learning_rate": 0.0005221206491030327, + "loss": 1.9521, "step": 765 }, { "epoch": 0.98, - "learning_rate": 0.0009232230752889957, - "loss": 2.2515, + "learning_rate": 0.0005211039214087733, + "loss": 2.0129, "step": 770 }, { "epoch": 0.98, - "learning_rate": 0.0009221378352985967, - "loss": 2.462, + "learning_rate": 0.0005200816036961606, + "loss": 1.9002, "step": 775 }, { "epoch": 0.99, - "learning_rate": 0.0009210456263198886, - "loss": 2.3609, + "learning_rate": 0.0005190537218117502, + "loss": 1.9327, "step": 780 }, { "epoch": 0.99, - "learning_rate": 0.0009199464663839289, - "loss": 2.4393, + "learning_rate": 0.0005180203017427728, + "loss": 1.9045, "step": 785 }, { "epoch": 1.0, - "eval_loss": 2.382097005844116, - "eval_runtime": 95.3367, - "eval_samples_per_second": 134.345, - "eval_steps_per_second": 16.793, + "eval_loss": 2.0005805492401123, + "eval_runtime": 92.7966, + "eval_samples_per_second": 138.022, + "eval_steps_per_second": 8.632, "step": 789 }, { "epoch": 1.0, - "learning_rate": 0.000918840373636527, - "loss": 2.5088, + "learning_rate": 0.0005169813696164772, + "loss": 2.0109, "step": 790 }, { "epoch": 1.01, - "learning_rate": 0.0009177273663379448, - "loss": 2.1884, + "learning_rate": 0.0005159369516994695, + "loss": 1.7846, "step": 795 }, { "epoch": 1.01, - "learning_rate": 0.0009166074628625952, - "loss": 2.4646, + "learning_rate": 0.0005148870743970495, + "loss": 1.8012, "step": 800 }, { "epoch": 1.02, - "learning_rate": 0.0009154806816987386, - "loss": 2.4983, + "learning_rate": 0.000513831764252543, + "loss": 1.9483, "step": 805 }, { "epoch": 1.03, - "learning_rate": 0.0009143470414481776, - "loss": 2.3381, + "learning_rate": 0.0005127710479466303, + "loss": 1.9163, "step": 810 }, { "epoch": 1.03, - "learning_rate": 0.0009132065608259505, - "loss": 2.3715, + "learning_rate": 0.0005117049522966723, + "loss": 1.8544, "step": 815 }, { "epoch": 1.04, - "learning_rate": 0.0009120592586600216, - "loss": 2.4095, + "learning_rate": 0.0005106335042560317, + "loss": 1.7812, "step": 820 }, { "epoch": 1.05, - "learning_rate": 0.0009109051538909707, - "loss": 2.3306, + "learning_rate": 0.0005095567309133926, + "loss": 1.8897, "step": 825 }, { "epoch": 1.05, - "learning_rate": 0.0009097442655716803, - "loss": 2.3049, + "learning_rate": 0.0005084746594920745, + "loss": 1.8461, "step": 830 }, { "epoch": 1.06, - "learning_rate": 0.0009085766128670217, - "loss": 2.3163, + "learning_rate": 0.000507387317349345, + "loss": 1.8396, "step": 835 }, { "epoch": 1.06, - "learning_rate": 0.0009074022150535374, - "loss": 2.3609, + "learning_rate": 0.0005062947319757274, + "loss": 1.8366, "step": 840 }, { "epoch": 1.07, - "learning_rate": 0.000906221091519124, - "loss": 2.1964, + "learning_rate": 0.0005051969309943062, + "loss": 1.8389, "step": 845 }, { "epoch": 1.08, - "learning_rate": 0.0009050332617627115, - "loss": 2.3304, + "learning_rate": 0.0005040939421600284, + "loss": 1.7767, "step": 850 }, { "epoch": 1.08, - "learning_rate": 0.0009038387453939415, - "loss": 2.3855, + "learning_rate": 0.0005029857933590021, + "loss": 1.8001, "step": 855 }, { "epoch": 1.09, - "learning_rate": 0.0009026375621328436, - "loss": 2.2852, + "learning_rate": 0.0005018725126077912, + "loss": 1.8145, "step": 860 }, { "epoch": 1.1, - "learning_rate": 0.0009014297318095099, - "loss": 2.2837, + "learning_rate": 0.0005007541280527068, + "loss": 1.8317, "step": 865 }, { "epoch": 1.1, - "learning_rate": 0.0009002152743637673, - "loss": 2.2163, + "learning_rate": 0.0004996306679690967, + "loss": 1.8302, "step": 870 }, { "epoch": 1.11, - "learning_rate": 0.0008989942098448485, - "loss": 2.2896, + "learning_rate": 0.0004985021607606293, + "loss": 1.9682, "step": 875 }, { "epoch": 1.12, - "learning_rate": 0.0008977665584110612, - "loss": 2.3854, + "learning_rate": 0.0004973686349585758, + "loss": 1.841, "step": 880 }, { "epoch": 1.12, - "learning_rate": 0.0008965323403294553, - "loss": 2.3061, + "learning_rate": 0.0004962301192210897, + "loss": 1.8658, "step": 885 }, { "epoch": 1.13, - "learning_rate": 0.0008952915759754878, - "loss": 2.3625, + "learning_rate": 0.000495086642332481, + "loss": 1.8247, "step": 890 }, { "epoch": 1.13, - "learning_rate": 0.000894044285832687, - "loss": 2.4091, + "learning_rate": 0.0004939382332024895, + "loss": 1.8037, "step": 895 }, { "epoch": 1.14, - "learning_rate": 0.0008927904904923142, - "loss": 2.3056, + "learning_rate": 0.000492784920865553, + "loss": 1.9416, "step": 900 }, { "epoch": 1.15, - "learning_rate": 0.0008915302106530234, - "loss": 2.3323, + "learning_rate": 0.0004916267344800742, + "loss": 1.8733, "step": 905 }, { "epoch": 1.15, - "learning_rate": 0.0008902634671205201, - "loss": 2.3386, + "learning_rate": 0.0004904637033276827, + "loss": 1.8063, "step": 910 }, { "epoch": 1.16, - "learning_rate": 0.0008889902808072176, - "loss": 2.3661, + "learning_rate": 0.000489295856812495, + "loss": 1.9041, "step": 915 }, { "epoch": 1.17, - "learning_rate": 0.0008877106727318918, - "loss": 2.3923, + "learning_rate": 0.0004881232244603716, + "loss": 1.8182, "step": 920 }, { "epoch": 1.17, - "learning_rate": 0.0008864246640193341, - "loss": 2.2784, + "learning_rate": 0.0004869458359181693, + "loss": 1.7881, "step": 925 }, { "epoch": 1.18, - "learning_rate": 0.0008851322759000026, - "loss": 2.3131, + "learning_rate": 0.00048576372095299273, + "loss": 1.7624, "step": 930 }, { "epoch": 1.19, - "learning_rate": 0.0008838335297096721, - "loss": 2.4255, + "learning_rate": 0.00048457690945144147, + "loss": 1.9506, "step": 935 }, { "epoch": 1.19, - "learning_rate": 0.0008825284468890808, - "loss": 2.4198, + "learning_rate": 0.00048338543141885444, + "loss": 1.8866, "step": 940 }, { "epoch": 1.2, - "learning_rate": 0.0008812170489835783, - "loss": 2.3279, + "learning_rate": 0.000482189316978551, + "loss": 1.8682, "step": 945 }, { "epoch": 1.2, - "learning_rate": 0.0008798993576427671, - "loss": 2.3672, + "learning_rate": 0.0004809885963710698, + "loss": 1.8928, "step": 950 }, { "epoch": 1.21, - "learning_rate": 0.0008785753946201483, - "loss": 2.3138, + "learning_rate": 0.00047978329995340403, + "loss": 1.8434, "step": 955 }, { "epoch": 1.22, - "learning_rate": 0.0008772451817727598, - "loss": 2.2753, + "learning_rate": 0.000478573458198234, + "loss": 1.8086, "step": 960 }, { "epoch": 1.22, - "learning_rate": 0.0008759087410608169, - "loss": 2.2821, + "learning_rate": 0.00047735910169315645, + "loss": 1.9049, "step": 965 }, { "epoch": 1.23, - "learning_rate": 0.0008745660945473495, - "loss": 2.2495, + "learning_rate": 0.0004761402611399116, + "loss": 1.7393, "step": 970 }, { "epoch": 1.24, - "learning_rate": 0.0008732172643978382, - "loss": 2.47, + "learning_rate": 0.0004749169673536068, + "loss": 1.7668, "step": 975 }, { "epoch": 1.24, - "learning_rate": 0.0008718622728798476, - "loss": 2.3261, + "learning_rate": 0.0004736892512619375, + "loss": 1.8751, "step": 980 }, { "epoch": 1.25, - "learning_rate": 0.0008705011423626587, - "loss": 2.3, + "learning_rate": 0.0004724571439044048, + "loss": 1.7533, "step": 985 }, { "epoch": 1.25, - "learning_rate": 0.0008691338953169009, - "loss": 2.3209, + "learning_rate": 0.0004712206764315317, + "loss": 1.7789, "step": 990 }, { "epoch": 1.26, - "learning_rate": 0.0008677605543141796, - "loss": 2.3039, + "learning_rate": 0.00046997988010407483, + "loss": 1.9063, "step": 995 }, { "epoch": 1.27, - "learning_rate": 0.000866381142026704, - "loss": 2.2033, + "learning_rate": 0.0004687347862922342, + "loss": 1.7936, "step": 1000 }, { "epoch": 1.27, - "learning_rate": 0.0008649956812269133, - "loss": 2.3297, + "learning_rate": 0.00046748542647486, + "loss": 1.784, "step": 1005 }, { "epoch": 1.28, - "learning_rate": 0.0008636041947871001, - "loss": 2.273, + "learning_rate": 0.0004662318322386573, + "loss": 1.8396, "step": 1010 }, { "epoch": 1.29, - "learning_rate": 0.0008622067056790332, - "loss": 2.2885, + "learning_rate": 0.0004649740352773868, + "loss": 1.8145, "step": 1015 }, { "epoch": 1.29, - "learning_rate": 0.0008608032369735781, - "loss": 2.3532, + "learning_rate": 0.00046371206739106383, + "loss": 1.7536, "step": 1020 }, { "epoch": 1.3, - "learning_rate": 0.0008593938118403164, - "loss": 2.3094, + "learning_rate": 0.00046244596048515443, + "loss": 1.7931, "step": 1025 }, { "epoch": 1.31, - "learning_rate": 0.0008579784535471631, - "loss": 2.3238, + "learning_rate": 0.00046117574656976855, + "loss": 1.8734, "step": 1030 }, { "epoch": 1.31, - "learning_rate": 0.0008565571854599825, - "loss": 2.2605, + "learning_rate": 0.0004599014577588509, + "loss": 1.8342, "step": 1035 }, { "epoch": 1.32, - "learning_rate": 0.0008551300310422027, - "loss": 2.2964, + "learning_rate": 0.00045862312626936884, + "loss": 1.8973, "step": 1040 }, { "epoch": 1.32, - "learning_rate": 0.0008536970138544277, - "loss": 2.2659, + "learning_rate": 0.00045734078442049826, + "loss": 1.7734, "step": 1045 }, { "epoch": 1.33, - "learning_rate": 0.0008522581575540491, - "loss": 2.3661, + "learning_rate": 0.00045605446463280576, + "loss": 1.7644, "step": 1050 }, { "epoch": 1.34, - "learning_rate": 0.0008508134858948553, - "loss": 2.3099, + "learning_rate": 0.00045476419942742994, + "loss": 1.8709, "step": 1055 }, { "epoch": 1.34, - "learning_rate": 0.0008493630227266387, - "loss": 2.291, + "learning_rate": 0.0004534700214252584, + "loss": 1.7612, "step": 1060 }, { "epoch": 1.35, - "learning_rate": 0.0008479067919948031, - "loss": 2.4099, + "learning_rate": 0.0004521719633461034, + "loss": 1.9362, "step": 1065 }, { "epoch": 1.36, - "learning_rate": 0.000846444817739968, - "loss": 2.2842, + "learning_rate": 0.0004508700580078742, + "loss": 1.8653, "step": 1070 }, { "epoch": 1.36, - "learning_rate": 0.0008449771240975707, - "loss": 2.3229, + "learning_rate": 0.0004495643383257482, + "loss": 1.767, "step": 1075 }, { "epoch": 1.37, - "learning_rate": 0.0008435037352974696, - "loss": 2.2471, + "learning_rate": 0.0004482548373113377, + "loss": 1.829, "step": 1080 }, { "epoch": 1.38, - "learning_rate": 0.000842024675663543, - "loss": 2.3572, + "learning_rate": 0.00044694158807185636, + "loss": 1.8861, "step": 1085 }, { "epoch": 1.38, - "learning_rate": 0.0008405399696132878, - "loss": 2.1652, + "learning_rate": 0.0004456246238092812, + "loss": 1.7582, "step": 1090 }, { "epoch": 1.39, - "learning_rate": 0.0008390496416574165, - "loss": 2.3283, + "learning_rate": 0.0004443039778195137, + "loss": 1.8504, "step": 1095 }, { "epoch": 1.39, - "learning_rate": 0.0008375537163994522, - "loss": 2.2474, + "learning_rate": 0.0004429796834915381, + "loss": 1.8637, "step": 1100 }, { "epoch": 1.4, - "learning_rate": 0.0008360522185353234, - "loss": 2.3934, + "learning_rate": 0.00044165177430657685, + "loss": 1.8534, "step": 1105 }, { "epoch": 1.41, - "learning_rate": 0.0008345451728529552, - "loss": 2.2949, + "learning_rate": 0.00044032028383724446, + "loss": 1.7965, "step": 1110 }, { "epoch": 1.41, - "learning_rate": 0.0008330326042318603, - "loss": 2.2382, + "learning_rate": 0.00043898524574669873, + "loss": 1.8788, "step": 1115 }, { "epoch": 1.42, - "learning_rate": 0.0008315145376427288, - "loss": 2.356, + "learning_rate": 0.00043764669378778913, + "loss": 1.8786, "step": 1120 }, { "epoch": 1.43, - "learning_rate": 0.0008299909981470158, - "loss": 2.2622, + "learning_rate": 0.0004363046618022041, + "loss": 1.7909, "step": 1125 }, { "epoch": 1.43, - "learning_rate": 0.0008284620108965271, - "loss": 2.2402, + "learning_rate": 0.0004349591837196154, + "loss": 1.8828, "step": 1130 }, { "epoch": 1.44, - "learning_rate": 0.0008269276011330047, - "loss": 2.2855, + "learning_rate": 0.0004336102935568196, + "loss": 1.9064, "step": 1135 }, { "epoch": 1.44, - "learning_rate": 0.0008253877941877095, - "loss": 2.1968, + "learning_rate": 0.0004322580254168791, + "loss": 1.7983, "step": 1140 }, { "epoch": 1.45, - "learning_rate": 0.0008238426154810035, - "loss": 2.2679, + "learning_rate": 0.00043090241348825876, + "loss": 1.8791, "step": 1145 }, { "epoch": 1.46, - "learning_rate": 0.0008222920905219302, - "loss": 2.2169, + "learning_rate": 0.0004295434920439628, + "loss": 1.8287, "step": 1150 }, { "epoch": 1.46, - "learning_rate": 0.0008207362449077932, - "loss": 2.1951, + "learning_rate": 0.00042818129544066713, + "loss": 1.8337, "step": 1155 }, { "epoch": 1.47, - "learning_rate": 0.0008191751043237336, - "loss": 2.3119, + "learning_rate": 0.0004268158581178515, + "loss": 1.8558, "step": 1160 }, { "epoch": 1.48, - "learning_rate": 0.000817608694542306, - "loss": 2.408, + "learning_rate": 0.00042544721459692846, + "loss": 1.8345, "step": 1165 }, { "epoch": 1.48, - "learning_rate": 0.0008160370414230535, - "loss": 2.1998, + "learning_rate": 0.0004240753994803708, + "loss": 1.8341, "step": 1170 }, { "epoch": 1.49, - "learning_rate": 0.00081446017091208, - "loss": 2.3845, + "learning_rate": 0.00042270044745083645, + "loss": 1.8161, "step": 1175 }, { "epoch": 1.5, - "learning_rate": 0.0008128781090416228, - "loss": 2.2619, + "learning_rate": 0.00042132239327029173, + "loss": 1.6921, "step": 1180 }, { "epoch": 1.5, - "learning_rate": 0.0008112908819296217, - "loss": 2.3258, + "learning_rate": 0.00041994127177913247, + "loss": 1.7944, "step": 1185 }, { "epoch": 1.51, - "learning_rate": 0.0008096985157792886, - "loss": 2.3633, + "learning_rate": 0.00041855711789530345, + "loss": 1.8489, "step": 1190 }, { "epoch": 1.51, - "learning_rate": 0.0008081010368786751, - "loss": 2.2268, + "learning_rate": 0.00041716996661341507, + "loss": 1.8568, "step": 1195 }, { "epoch": 1.52, - "learning_rate": 0.0008064984716002377, - "loss": 2.2499, + "learning_rate": 0.00041577985300385913, + "loss": 1.883, "step": 1200 }, { "epoch": 1.53, - "learning_rate": 0.0008048908464004032, - "loss": 2.258, + "learning_rate": 0.0004143868122119217, + "loss": 1.9306, "step": 1205 }, { "epoch": 1.53, - "learning_rate": 0.0008032781878191313, - "loss": 2.2347, + "learning_rate": 0.00041299087945689496, + "loss": 1.8549, "step": 1210 }, { "epoch": 1.54, - "learning_rate": 0.0008016605224794773, - "loss": 2.2717, + "learning_rate": 0.0004115920900311864, + "loss": 1.7132, "step": 1215 }, { "epoch": 1.55, - "learning_rate": 0.0008000378770871515, - "loss": 2.1741, + "learning_rate": 0.000410190479299427, + "loss": 1.8957, "step": 1220 }, { "epoch": 1.55, - "learning_rate": 0.0007984102784300793, - "loss": 2.1593, + "learning_rate": 0.0004087860826975767, + "loss": 1.7544, "step": 1225 }, { "epoch": 1.56, - "learning_rate": 0.0007967777533779582, - "loss": 2.2707, + "learning_rate": 0.00040737893573202877, + "loss": 1.8321, "step": 1230 }, { "epoch": 1.57, - "learning_rate": 0.0007951403288818149, - "loss": 2.2641, + "learning_rate": 0.00040596907397871205, + "loss": 1.8146, "step": 1235 }, { "epoch": 1.57, - "learning_rate": 0.0007934980319735599, - "loss": 2.2677, + "learning_rate": 0.00040455653308219127, + "loss": 1.7742, "step": 1240 }, { "epoch": 1.58, - "learning_rate": 0.000791850889765541, - "loss": 2.2982, + "learning_rate": 0.0004031413487547665, + "loss": 1.8268, "step": 1245 }, { "epoch": 1.58, - "learning_rate": 0.0007901989294500968, - "loss": 2.1954, + "learning_rate": 0.0004017235567755694, + "loss": 1.8419, "step": 1250 }, { "epoch": 1.59, - "learning_rate": 0.0007885421782991064, - "loss": 2.2439, + "learning_rate": 0.0004003031929896594, + "loss": 1.839, "step": 1255 }, { "epoch": 1.6, - "learning_rate": 0.0007868806636635405, - "loss": 2.2238, + "learning_rate": 0.00039888029330711704, + "loss": 1.8722, "step": 1260 }, { "epoch": 1.6, - "learning_rate": 0.0007852144129730086, - "loss": 2.234, + "learning_rate": 0.0003974548937021363, + "loss": 1.9201, "step": 1265 }, { "epoch": 1.61, - "learning_rate": 0.0007835434537353067, - "loss": 2.31, + "learning_rate": 0.00039602703021211484, + "loss": 1.9658, "step": 1270 }, { "epoch": 1.62, - "learning_rate": 0.0007818678135359641, - "loss": 2.2452, + "learning_rate": 0.0003945967389367431, + "loss": 1.8658, "step": 1275 }, { "epoch": 1.62, - "learning_rate": 0.0007801875200377862, - "loss": 2.1722, + "learning_rate": 0.00039316405603709157, + "loss": 1.8716, "step": 1280 }, { "epoch": 1.63, - "learning_rate": 0.0007785026009803993, - "loss": 2.1681, + "learning_rate": 0.0003917290177346964, + "loss": 1.7848, "step": 1285 }, { "epoch": 1.63, - "learning_rate": 0.0007768130841797919, - "loss": 2.2128, + "learning_rate": 0.0003902916603106439, + "loss": 2.0245, "step": 1290 }, { "epoch": 1.64, - "learning_rate": 0.0007751189975278561, - "loss": 2.121, + "learning_rate": 0.0003888520201046532, + "loss": 1.7693, "step": 1295 }, { "epoch": 1.65, - "learning_rate": 0.0007734203689919261, - "loss": 2.2649, + "learning_rate": 0.0003874101335141571, + "loss": 1.8287, "step": 1300 }, { "epoch": 1.65, - "learning_rate": 0.0007717172266143178, - "loss": 2.1976, + "learning_rate": 0.00038596603699338276, + "loss": 1.8367, "step": 1305 }, { "epoch": 1.66, - "learning_rate": 0.000770009598511865, - "loss": 2.3699, + "learning_rate": 0.0003845197670524289, + "loss": 1.9042, "step": 1310 }, { "epoch": 1.67, - "learning_rate": 0.0007682975128754548, - "loss": 2.1847, + "learning_rate": 0.0003830713602563437, + "loss": 1.7802, "step": 1315 }, { "epoch": 1.67, - "learning_rate": 0.0007665809979695639, - "loss": 2.2154, + "learning_rate": 0.00038162085322419973, + "loss": 1.7705, "step": 1320 }, { "epoch": 1.68, - "learning_rate": 0.00076486008213179, - "loss": 2.2729, + "learning_rate": 0.0003801682826281687, + "loss": 1.8283, "step": 1325 }, { "epoch": 1.69, - "learning_rate": 0.0007631347937723856, - "loss": 2.3637, + "learning_rate": 0.0003787136851925937, + "loss": 1.9271, "step": 1330 }, { "epoch": 1.69, - "learning_rate": 0.0007614051613737878, - "loss": 2.244, + "learning_rate": 0.00037725709769306114, + "loss": 1.8433, "step": 1335 }, { "epoch": 1.7, - "learning_rate": 0.0007596712134901487, - "loss": 2.2387, + "learning_rate": 0.0003757985569554707, + "loss": 1.8718, "step": 1340 }, { "epoch": 1.7, - "learning_rate": 0.0007579329787468638, - "loss": 2.1745, + "learning_rate": 0.00037433809985510486, + "loss": 1.842, "step": 1345 }, { "epoch": 1.71, - "learning_rate": 0.0007561904858400999, - "loss": 2.1605, + "learning_rate": 0.00037287576331569564, + "loss": 1.9048, "step": 1350 }, { "epoch": 1.72, - "learning_rate": 0.0007544437635363206, - "loss": 2.2522, + "learning_rate": 0.0003714115843084918, + "loss": 1.8235, "step": 1355 }, { "epoch": 1.72, - "learning_rate": 0.0007526928406718115, - "loss": 2.2604, + "learning_rate": 0.00036994559985132415, + "loss": 1.8576, "step": 1360 }, { "epoch": 1.73, - "learning_rate": 0.0007509377461522049, - "loss": 2.2935, + "learning_rate": 0.00036847784700766933, + "loss": 1.836, "step": 1365 }, { "epoch": 1.74, - "learning_rate": 0.000749178508952002, - "loss": 2.2513, + "learning_rate": 0.0003670083628857128, + "loss": 1.8414, "step": 1370 }, { "epoch": 1.74, - "learning_rate": 0.0007474151581140947, - "loss": 2.1089, + "learning_rate": 0.0003655371846374107, + "loss": 1.942, "step": 1375 }, { "epoch": 1.75, - "learning_rate": 0.0007456477227492858, - "loss": 2.2211, + "learning_rate": 0.00036406434945755083, + "loss": 1.8823, "step": 1380 }, { "epoch": 1.76, - "learning_rate": 0.0007438762320358088, - "loss": 2.2009, + "learning_rate": 0.0003625898945828119, + "loss": 1.898, "step": 1385 }, { "epoch": 1.76, - "learning_rate": 0.0007421007152188468, - "loss": 2.1967, + "learning_rate": 0.00036111385729082224, + "loss": 1.8972, "step": 1390 }, { "epoch": 1.77, - "learning_rate": 0.0007403212016100484, - "loss": 2.3052, + "learning_rate": 0.0003596362748992173, + "loss": 1.7432, "step": 1395 }, { "epoch": 1.77, - "learning_rate": 0.0007385377205870442, - "loss": 2.2927, + "learning_rate": 0.0003581571847646965, + "loss": 1.8568, "step": 1400 }, { "epoch": 1.78, - "learning_rate": 0.0007367503015929626, - "loss": 2.1667, + "learning_rate": 0.000356676624282078, + "loss": 1.8891, "step": 1405 }, { "epoch": 1.79, - "learning_rate": 0.0007349589741359431, - "loss": 2.2273, + "learning_rate": 0.00035519463088335427, + "loss": 1.8463, "step": 1410 }, { "epoch": 1.79, - "learning_rate": 0.000733163767788649, - "loss": 2.3456, + "learning_rate": 0.00035371124203674486, + "loss": 1.759, "step": 1415 }, { "epoch": 1.8, - "learning_rate": 0.0007313647121877793, - "loss": 2.279, + "learning_rate": 0.0003522264952457498, + "loss": 1.7689, "step": 1420 }, { "epoch": 1.81, - "learning_rate": 0.0007295618370335799, - "loss": 2.3189, + "learning_rate": 0.0003507404280482005, + "loss": 1.7517, "step": 1425 }, { "epoch": 1.81, - "learning_rate": 0.0007277551720893528, - "loss": 2.1636, + "learning_rate": 0.0003492530780153121, + "loss": 1.8594, "step": 1430 }, { "epoch": 1.82, - "learning_rate": 0.0007259447471809651, - "loss": 2.1341, + "learning_rate": 0.00034776448275073205, + "loss": 1.6709, "step": 1435 }, { "epoch": 1.82, - "learning_rate": 0.0007241305921963557, - "loss": 2.2994, + "learning_rate": 0.00034627467988959063, + "loss": 1.8854, "step": 1440 }, { "epoch": 1.83, - "learning_rate": 0.0007223127370850433, - "loss": 2.2897, + "learning_rate": 0.0003447837070975488, + "loss": 1.7318, "step": 1445 }, { "epoch": 1.84, - "learning_rate": 0.000720491211857631, - "loss": 2.2286, + "learning_rate": 0.000343291602069846, + "loss": 1.9173, "step": 1450 }, { "epoch": 1.84, - "learning_rate": 0.000718666046585311, - "loss": 2.2796, + "learning_rate": 0.0003417984025303472, + "loss": 1.7616, "step": 1455 }, { "epoch": 1.85, - "learning_rate": 0.0007168372713993683, - "loss": 2.2812, + "learning_rate": 0.0003403041462305894, + "loss": 1.9281, "step": 1460 }, { "epoch": 1.86, - "learning_rate": 0.0007150049164906835, - "loss": 2.1562, + "learning_rate": 0.0003388088709488265, + "loss": 1.8446, "step": 1465 }, { "epoch": 1.86, - "learning_rate": 0.0007131690121092336, - "loss": 2.305, + "learning_rate": 0.00033731261448907517, + "loss": 1.9168, "step": 1470 }, { "epoch": 1.87, - "learning_rate": 0.0007113295885635935, - "loss": 2.2369, + "learning_rate": 0.00033581541468015805, + "loss": 1.8417, "step": 1475 }, { "epoch": 1.88, - "learning_rate": 0.0007094866762204354, - "loss": 2.2044, + "learning_rate": 0.00033431730937474814, + "loss": 1.9331, "step": 1480 }, { "epoch": 1.88, - "learning_rate": 0.0007076403055040271, - "loss": 2.1396, + "learning_rate": 0.00033281833644841136, + "loss": 1.8163, "step": 1485 }, { "epoch": 1.89, - "learning_rate": 0.0007057905068957299, - "loss": 2.3368, + "learning_rate": 0.000331318533798649, + "loss": 1.8459, "step": 1490 }, { "epoch": 1.89, - "learning_rate": 0.0007039373109334957, - "loss": 2.2138, + "learning_rate": 0.00032981793934393975, + "loss": 1.7809, "step": 1495 }, { "epoch": 1.9, - "learning_rate": 0.0007020807482113627, - "loss": 2.1798, + "learning_rate": 0.0003283165910227812, + "loss": 1.8496, "step": 1500 }, { "epoch": 1.91, - "learning_rate": 0.00070022084937895, - "loss": 2.1819, + "learning_rate": 0.0003268145267927301, + "loss": 1.8601, "step": 1505 }, { "epoch": 1.91, - "learning_rate": 0.0006983576451409517, - "loss": 2.1694, + "learning_rate": 0.000325311784629443, + "loss": 1.7749, "step": 1510 }, { "epoch": 1.92, - "learning_rate": 0.0006964911662566308, - "loss": 2.1964, + "learning_rate": 0.00032380840252571656, + "loss": 1.844, "step": 1515 }, { "epoch": 1.93, - "learning_rate": 0.0006946214435393103, - "loss": 2.0662, + "learning_rate": 0.0003223044184905262, + "loss": 1.8449, "step": 1520 }, { "epoch": 1.93, - "learning_rate": 0.0006927485078558652, - "loss": 2.1458, + "learning_rate": 0.00032079987054806585, + "loss": 1.871, "step": 1525 }, { "epoch": 1.94, - "learning_rate": 0.0006908723901262126, - "loss": 2.2772, + "learning_rate": 0.0003192947967367861, + "loss": 1.8817, "step": 1530 }, { "epoch": 1.95, - "learning_rate": 0.0006889931213228015, - "loss": 2.1833, + "learning_rate": 0.00031778923510843285, + "loss": 1.7883, "step": 1535 }, { "epoch": 1.95, - "learning_rate": 0.0006871107324701008, - "loss": 2.2241, + "learning_rate": 0.00031628322372708514, + "loss": 1.9115, "step": 1540 }, { "epoch": 1.96, - "learning_rate": 0.0006852252546440885, - "loss": 2.1994, + "learning_rate": 0.0003147768006681927, + "loss": 1.8596, "step": 1545 }, { "epoch": 1.96, - "learning_rate": 0.0006833367189717372, - "loss": 2.229, + "learning_rate": 0.0003132700040176136, + "loss": 1.8591, "step": 1550 }, { "epoch": 1.97, - "learning_rate": 0.0006814451566305014, - "loss": 2.2222, + "learning_rate": 0.000311762871870651, + "loss": 1.7955, "step": 1555 }, { "epoch": 1.98, - "learning_rate": 0.0006795505988478015, - "loss": 2.2849, + "learning_rate": 0.0003102554423310904, + "loss": 1.7796, "step": 1560 }, { "epoch": 1.98, - "learning_rate": 0.0006776530769005098, - "loss": 2.11, + "learning_rate": 0.0003087477535102357, + "loss": 1.7754, "step": 1565 }, { "epoch": 1.99, - "learning_rate": 0.0006757526221144329, - "loss": 2.1437, + "learning_rate": 0.0003072398435259463, + "loss": 1.8625, "step": 1570 }, { "epoch": 2.0, - "learning_rate": 0.0006738492658637956, - "loss": 2.1549, + "learning_rate": 0.0003057317505016733, + "loss": 1.8115, "step": 1575 }, { "epoch": 2.0, - "eval_loss": 2.1981911659240723, - "eval_runtime": 95.327, - "eval_samples_per_second": 134.359, - "eval_steps_per_second": 16.795, + "eval_loss": 1.9557033777236938, + "eval_runtime": 92.8676, + "eval_samples_per_second": 137.917, + "eval_steps_per_second": 8.625, "step": 1578 }, { "epoch": 2.0, - "learning_rate": 0.0006719430395707215, - "loss": 2.3153, + "learning_rate": 0.00030422351256549493, + "loss": 1.8282, "step": 1580 }, { "epoch": 2.01, - "learning_rate": 0.0006700339747047161, - "loss": 2.0107, + "learning_rate": 0.0003027151678491537, + "loss": 1.8332, "step": 1585 }, { "epoch": 2.02, - "learning_rate": 0.0006681221027821458, - "loss": 2.1278, + "learning_rate": 0.00030120675448709134, + "loss": 1.7881, "step": 1590 }, { "epoch": 2.02, - "learning_rate": 0.000666207455365718, - "loss": 2.0655, + "learning_rate": 0.0002996983106154856, + "loss": 1.6833, "step": 1595 }, { "epoch": 2.03, - "learning_rate": 0.0006642900640639608, - "loss": 2.0664, + "learning_rate": 0.0002981898743712848, + "loss": 1.7887, "step": 1600 }, { "epoch": 2.03, - "learning_rate": 0.0006623699605306999, - "loss": 1.9791, + "learning_rate": 0.0002966814838912453, + "loss": 1.7439, "step": 1605 }, { "epoch": 2.04, - "learning_rate": 0.0006604471764645369, - "loss": 2.0518, + "learning_rate": 0.0002951731773109657, + "loss": 1.6378, "step": 1610 }, { "epoch": 2.05, - "learning_rate": 0.000658521743608326, - "loss": 2.0644, + "learning_rate": 0.00029366499276392403, + "loss": 1.7603, "step": 1615 }, { "epoch": 2.05, - "learning_rate": 0.0006565936937486492, - "loss": 2.0737, + "learning_rate": 0.00029215696838051256, + "loss": 1.7664, "step": 1620 }, { "epoch": 2.06, - "learning_rate": 0.0006546630587152929, - "loss": 2.0784, + "learning_rate": 0.0002906491422870745, + "loss": 1.7565, "step": 1625 }, { "epoch": 2.07, - "learning_rate": 0.000652729870380721, - "loss": 2.1277, + "learning_rate": 0.0002891415526049398, + "loss": 1.748, "step": 1630 }, { "epoch": 2.07, - "learning_rate": 0.0006507941606595491, - "loss": 2.1686, + "learning_rate": 0.0002876342374494613, + "loss": 1.7335, "step": 1635 }, { "epoch": 2.08, - "learning_rate": 0.0006488559615080188, - "loss": 2.1398, + "learning_rate": 0.0002861272349290513, + "loss": 1.8072, "step": 1640 }, { "epoch": 2.08, - "learning_rate": 0.0006469153049234683, - "loss": 2.1453, + "learning_rate": 0.00028462058314421794, + "loss": 1.7107, "step": 1645 }, { "epoch": 2.09, - "learning_rate": 0.0006449722229438053, - "loss": 2.0425, + "learning_rate": 0.00028311432018660173, + "loss": 1.6844, "step": 1650 }, { "epoch": 2.1, - "learning_rate": 0.0006430267476469783, - "loss": 2.0705, + "learning_rate": 0.0002816084841380131, + "loss": 1.729, "step": 1655 }, { "epoch": 2.1, - "learning_rate": 0.0006410789111504461, - "loss": 2.1157, + "learning_rate": 0.00028010311306946885, + "loss": 1.7699, "step": 1660 }, { "epoch": 2.11, - "learning_rate": 0.0006391287456106483, - "loss": 2.1243, + "learning_rate": 0.0002785982450402303, + "loss": 1.7964, "step": 1665 }, { "epoch": 2.12, - "learning_rate": 0.000637176283222474, - "loss": 2.0428, + "learning_rate": 0.00027709391809684075, + "loss": 1.6819, "step": 1670 }, { "epoch": 2.12, - "learning_rate": 0.0006352215562187306, - "loss": 2.0638, + "learning_rate": 0.0002755901702721633, + "loss": 1.7015, "step": 1675 }, { "epoch": 2.13, - "learning_rate": 0.000633264596869612, - "loss": 2.0722, + "learning_rate": 0.0002740870395844201, + "loss": 1.7115, "step": 1680 }, { "epoch": 2.14, - "learning_rate": 0.0006313054374821646, - "loss": 2.1089, + "learning_rate": 0.00027258456403623013, + "loss": 1.8647, "step": 1685 }, { "epoch": 2.14, - "learning_rate": 0.0006293441103997555, - "loss": 2.0444, + "learning_rate": 0.0002710827816136493, + "loss": 1.828, "step": 1690 }, { "epoch": 2.15, - "learning_rate": 0.0006273806480015374, - "loss": 2.0067, + "learning_rate": 0.00026958173028520944, + "loss": 1.8245, "step": 1695 }, { "epoch": 2.15, - "learning_rate": 0.0006254150827019148, - "loss": 2.2493, + "learning_rate": 0.0002680814480009589, + "loss": 1.837, "step": 1700 }, { "epoch": 2.16, - "learning_rate": 0.0006234474469500085, - "loss": 2.0435, + "learning_rate": 0.0002665819726915026, + "loss": 1.765, "step": 1705 }, { "epoch": 2.17, - "learning_rate": 0.00062147777322912, - "loss": 2.1426, + "learning_rate": 0.0002650833422670432, + "loss": 1.933, "step": 1710 }, { "epoch": 2.17, - "learning_rate": 0.0006195060940561949, - "loss": 2.0512, + "learning_rate": 0.0002635855946164232, + "loss": 1.7883, "step": 1715 }, { "epoch": 2.18, - "learning_rate": 0.0006175324419812869, - "loss": 2.1365, + "learning_rate": 0.00026208876760616586, + "loss": 1.8351, "step": 1720 }, { "epoch": 2.19, - "learning_rate": 0.0006155568495870196, - "loss": 2.137, + "learning_rate": 0.0002605928990795188, + "loss": 1.7143, "step": 1725 }, { "epoch": 2.19, - "learning_rate": 0.000613579349488049, - "loss": 1.9907, + "learning_rate": 0.00025909802685549735, + "loss": 1.6925, "step": 1730 }, { "epoch": 2.2, - "learning_rate": 0.0006115999743305252, - "loss": 2.085, + "learning_rate": 0.00025760418872792737, + "loss": 1.8673, "step": 1735 }, { "epoch": 2.21, - "learning_rate": 0.0006096187567915528, - "loss": 2.1276, + "learning_rate": 0.0002561114224644908, + "loss": 1.7264, "step": 1740 }, { "epoch": 2.21, - "learning_rate": 0.0006076357295786525, - "loss": 1.9774, + "learning_rate": 0.0002546197658057702, + "loss": 1.7266, "step": 1745 }, { "epoch": 2.22, - "learning_rate": 0.0006056509254292202, - "loss": 2.0054, + "learning_rate": 0.0002531292564642949, + "loss": 1.6868, "step": 1750 }, { "epoch": 2.22, - "learning_rate": 0.0006036643771099871, - "loss": 2.0158, + "learning_rate": 0.00025163993212358715, + "loss": 1.6325, "step": 1755 }, { "epoch": 2.23, - "learning_rate": 0.000601676117416478, - "loss": 1.9952, + "learning_rate": 0.0002501518304372098, + "loss": 1.692, "step": 1760 }, { "epoch": 2.24, - "learning_rate": 0.0005996861791724712, - "loss": 2.0267, + "learning_rate": 0.0002486649890278143, + "loss": 1.7267, "step": 1765 }, { "epoch": 2.24, - "learning_rate": 0.0005976945952294553, - "loss": 1.9985, + "learning_rate": 0.0002471794454861891, + "loss": 1.6774, "step": 1770 }, { "epoch": 2.25, - "learning_rate": 0.0005957013984660875, - "loss": 2.0334, + "learning_rate": 0.0002456952373703098, + "loss": 1.7112, "step": 1775 }, { "epoch": 2.26, - "learning_rate": 0.0005937066217876511, - "loss": 2.0078, + "learning_rate": 0.0002442124022043891, + "loss": 1.765, "step": 1780 }, { "epoch": 2.26, - "learning_rate": 0.0005917102981255113, - "loss": 2.0976, + "learning_rate": 0.00024273097747792876, + "loss": 1.7441, "step": 1785 }, { "epoch": 2.27, - "learning_rate": 0.0005897124604365727, - "loss": 2.0843, + "learning_rate": 0.00024125100064477083, + "loss": 1.6806, "step": 1790 }, { "epoch": 2.27, - "learning_rate": 0.0005877131417027343, - "loss": 1.9916, + "learning_rate": 0.00023977250912215166, + "loss": 1.6897, "step": 1795 }, { "epoch": 2.28, - "learning_rate": 0.0005857123749303454, - "loss": 2.0005, + "learning_rate": 0.0002382955402897553, + "loss": 1.7494, "step": 1800 }, { "epoch": 2.29, - "learning_rate": 0.000583710193149661, - "loss": 2.134, + "learning_rate": 0.00023682013148876898, + "loss": 1.8519, "step": 1805 }, { "epoch": 2.29, - "learning_rate": 0.0005817066294142957, - "loss": 2.1503, + "learning_rate": 0.0002353463200209383, + "loss": 1.7991, "step": 1810 }, { "epoch": 2.3, - "learning_rate": 0.0005797017168006791, - "loss": 2.033, + "learning_rate": 0.00023387414314762496, + "loss": 1.7614, "step": 1815 }, { "epoch": 2.31, - "learning_rate": 0.0005776954884075085, - "loss": 2.0627, + "learning_rate": 0.00023240363808886403, + "loss": 1.6892, "step": 1820 }, { "epoch": 2.31, - "learning_rate": 0.0005756879773552036, - "loss": 1.985, + "learning_rate": 0.00023093484202242354, + "loss": 1.7324, "step": 1825 }, { "epoch": 2.32, - "learning_rate": 0.000573679216785359, - "loss": 2.0933, + "learning_rate": 0.00022946779208286397, + "loss": 1.7889, "step": 1830 }, { "epoch": 2.33, - "learning_rate": 0.0005716692398601975, - "loss": 2.1007, + "learning_rate": 0.00022800252536059988, + "loss": 1.7436, "step": 1835 }, { "epoch": 2.33, - "learning_rate": 0.0005696580797620226, - "loss": 2.0164, + "learning_rate": 0.0002265390789009619, + "loss": 1.7507, "step": 1840 }, { "epoch": 2.34, - "learning_rate": 0.0005676457696926703, - "loss": 2.0588, + "learning_rate": 0.00022507748970326005, + "loss": 1.796, "step": 1845 }, { "epoch": 2.34, - "learning_rate": 0.0005656323428729612, - "loss": 2.0087, + "learning_rate": 0.00022361779471984883, + "loss": 1.7975, "step": 1850 }, { "epoch": 2.35, - "learning_rate": 0.0005636178325421524, - "loss": 2.0798, + "learning_rate": 0.00022216003085519237, + "loss": 1.775, "step": 1855 }, { "epoch": 2.36, - "learning_rate": 0.000561602271957388, - "loss": 2.1189, + "learning_rate": 0.00022070423496493152, + "loss": 1.7634, "step": 1860 }, { "epoch": 2.36, - "learning_rate": 0.0005595856943931512, - "loss": 2.0921, + "learning_rate": 0.00021925044385495254, + "loss": 1.8228, "step": 1865 }, { "epoch": 2.37, - "learning_rate": 0.0005575681331407137, - "loss": 2.1177, + "learning_rate": 0.000217798694280456, + "loss": 1.7155, "step": 1870 }, { "epoch": 2.38, - "learning_rate": 0.0005555496215075871, - "loss": 2.1912, + "learning_rate": 0.00021634902294502778, + "loss": 1.6878, "step": 1875 }, { "epoch": 2.38, - "learning_rate": 0.0005535301928169722, - "loss": 2.1851, + "learning_rate": 0.00021490146649971097, + "loss": 1.7402, "step": 1880 }, { "epoch": 2.39, - "learning_rate": 0.00055150988040721, - "loss": 2.1525, + "learning_rate": 0.0002134560615420796, + "loss": 1.7177, "step": 1885 }, { "epoch": 2.4, - "learning_rate": 0.00054948871763123, - "loss": 2.0721, + "learning_rate": 0.00021201284461531289, + "loss": 1.6694, "step": 1890 }, { "epoch": 2.4, - "learning_rate": 0.0005474667378560006, - "loss": 2.1164, + "learning_rate": 0.00021057185220727152, + "loss": 1.7822, "step": 1895 }, { "epoch": 2.41, - "learning_rate": 0.0005454439744619776, - "loss": 2.1189, + "learning_rate": 0.00020913312074957556, + "loss": 1.6492, "step": 1900 }, { "epoch": 2.41, - "learning_rate": 0.0005434204608425538, - "loss": 2.0945, + "learning_rate": 0.00020769668661668254, + "loss": 1.7165, "step": 1905 }, { "epoch": 2.42, - "learning_rate": 0.0005413962304035068, - "loss": 2.2036, + "learning_rate": 0.00020626258612496876, + "loss": 1.5924, "step": 1910 }, { "epoch": 2.43, - "learning_rate": 0.0005393713165624483, - "loss": 2.1643, + "learning_rate": 0.00020483085553181033, + "loss": 1.8017, "step": 1915 }, { "epoch": 2.43, - "learning_rate": 0.0005373457527482725, - "loss": 2.0757, + "learning_rate": 0.00020340153103466709, + "loss": 1.7278, "step": 1920 }, { "epoch": 2.44, - "learning_rate": 0.0005353195724006031, - "loss": 2.0375, + "learning_rate": 0.0002019746487701671, + "loss": 1.5994, "step": 1925 }, { "epoch": 2.45, - "learning_rate": 0.0005332928089692425, - "loss": 2.0028, + "learning_rate": 0.00020055024481319307, + "loss": 1.6479, "step": 1930 }, { "epoch": 2.45, - "learning_rate": 0.0005312654959136194, - "loss": 2.08, + "learning_rate": 0.00019912835517597036, + "loss": 1.6717, "step": 1935 }, { "epoch": 2.46, - "learning_rate": 0.0005292376667022355, - "loss": 2.0521, + "learning_rate": 0.00019770901580715673, + "loss": 1.7909, "step": 1940 }, { "epoch": 2.47, - "learning_rate": 0.0005272093548121141, - "loss": 1.9639, + "learning_rate": 0.00019629226259093303, + "loss": 1.7646, "step": 1945 }, { "epoch": 2.47, - "learning_rate": 0.0005251805937282467, - "loss": 2.1265, + "learning_rate": 0.00019487813134609635, + "loss": 1.7472, "step": 1950 }, { "epoch": 2.48, - "learning_rate": 0.0005231514169430402, - "loss": 2.0656, + "learning_rate": 0.00019346665782515415, + "loss": 1.6367, "step": 1955 }, { "epoch": 2.48, - "learning_rate": 0.000521121857955765, - "loss": 2.1371, + "learning_rate": 0.00019205787771342062, + "loss": 1.7175, "step": 1960 }, { "epoch": 2.49, - "learning_rate": 0.0005190919502720005, - "loss": 2.0298, + "learning_rate": 0.0001906518266281141, + "loss": 1.8483, "step": 1965 }, { "epoch": 2.5, - "learning_rate": 0.0005170617274030827, - "loss": 2.166, + "learning_rate": 0.00018924854011745718, + "loss": 1.7751, "step": 1970 }, { "epoch": 2.5, - "learning_rate": 0.0005150312228655515, - "loss": 2.0785, + "learning_rate": 0.00018784805365977734, + "loss": 1.7383, "step": 1975 }, { "epoch": 2.51, - "learning_rate": 0.0005130004701805963, - "loss": 2.0836, + "learning_rate": 0.0001864504026626103, + "loss": 1.7633, "step": 1980 }, { "epoch": 2.52, - "learning_rate": 0.0005109695028735029, - "loss": 2.1391, + "learning_rate": 0.00018505562246180486, + "loss": 1.8172, "step": 1985 }, { "epoch": 2.52, - "learning_rate": 0.0005089383544731012, - "loss": 1.9789, + "learning_rate": 0.0001836637483206293, + "loss": 1.7102, "step": 1990 }, { "epoch": 2.53, - "learning_rate": 0.0005069070585112097, - "loss": 2.0498, + "learning_rate": 0.00018227481542888033, + "loss": 1.7455, "step": 1995 }, { "epoch": 2.53, - "learning_rate": 0.0005048756485220836, - "loss": 2.1021, + "learning_rate": 0.00018088885890199267, + "loss": 1.6092, "step": 2000 }, { "epoch": 2.54, - "learning_rate": 0.0005028441580418602, - "loss": 2.0545, + "learning_rate": 0.00017950591378015175, + "loss": 1.7731, "step": 2005 }, { "epoch": 2.55, - "learning_rate": 0.0005008126206080059, - "loss": 2.0408, + "learning_rate": 0.00017812601502740797, + "loss": 1.8558, "step": 2010 }, { "epoch": 2.55, - "learning_rate": 0.0004987810697587617, - "loss": 2.1183, + "learning_rate": 0.00017674919753079218, + "loss": 1.7243, "step": 2015 }, { "epoch": 2.56, - "learning_rate": 0.0004967495390325911, - "loss": 2.1223, + "learning_rate": 0.0001753754960994341, + "loss": 1.6603, "step": 2020 }, { "epoch": 2.57, - "learning_rate": 0.0004947180619676244, - "loss": 1.9974, + "learning_rate": 0.0001740049454636821, + "loss": 1.783, "step": 2025 }, { "epoch": 2.57, - "learning_rate": 0.0004926866721011064, - "loss": 2.1279, + "learning_rate": 0.00017263758027422508, + "loss": 1.6785, "step": 2030 }, { "epoch": 2.58, - "learning_rate": 0.0004906554029688425, - "loss": 1.9737, + "learning_rate": 0.0001712734351012166, + "loss": 1.798, "step": 2035 }, { "epoch": 2.59, - "learning_rate": 0.0004886242881046447, - "loss": 1.9904, + "learning_rate": 0.00016991254443340082, + "loss": 1.7397, "step": 2040 }, { "epoch": 2.59, - "learning_rate": 0.00048659336103977805, - "loss": 2.0324, + "learning_rate": 0.00016855494267724018, + "loss": 1.7338, "step": 2045 }, { "epoch": 2.6, - "learning_rate": 0.00048456265530240784, - "loss": 2.1492, + "learning_rate": 0.00016720066415604605, + "loss": 1.8307, "step": 2050 }, { "epoch": 2.6, - "learning_rate": 0.00048253220441704507, - "loss": 1.9715, + "learning_rate": 0.00016584974310911082, + "loss": 1.6881, "step": 2055 }, { "epoch": 2.61, - "learning_rate": 0.00048050204190399335, - "loss": 2.0, + "learning_rate": 0.00016450221369084203, + "loss": 1.806, "step": 2060 }, { "epoch": 2.62, - "learning_rate": 0.00047847220127879606, - "loss": 2.1284, + "learning_rate": 0.00016315810996989904, + "loss": 1.7203, "step": 2065 }, { "epoch": 2.62, - "learning_rate": 0.00047644271605168213, - "loss": 2.0984, + "learning_rate": 0.00016181746592833145, + "loss": 1.784, "step": 2070 }, { "epoch": 2.63, - "learning_rate": 0.0004744136197270135, - "loss": 2.057, + "learning_rate": 0.00016048031546072054, + "loss": 1.885, "step": 2075 }, { "epoch": 2.64, - "learning_rate": 0.00047238494580273193, - "loss": 2.0703, + "learning_rate": 0.00015914669237332188, + "loss": 1.6406, "step": 2080 }, { "epoch": 2.64, - "learning_rate": 0.00047035672776980574, - "loss": 2.154, + "learning_rate": 0.0001578166303832104, + "loss": 1.6898, "step": 2085 }, { "epoch": 2.65, - "learning_rate": 0.00046832899911167697, - "loss": 2.154, + "learning_rate": 0.0001564901631174286, + "loss": 1.7131, "step": 2090 }, { "epoch": 2.66, - "learning_rate": 0.00046630179330370866, - "loss": 2.0377, + "learning_rate": 0.00015516732411213592, + "loss": 1.7048, "step": 2095 }, { "epoch": 2.66, - "learning_rate": 0.00046427514381263205, - "loss": 2.1521, + "learning_rate": 0.0001538481468117611, + "loss": 1.6594, "step": 2100 }, { "epoch": 2.67, - "learning_rate": 0.00046224908409599495, - "loss": 2.159, + "learning_rate": 0.00015253266456815613, + "loss": 1.7222, "step": 2105 }, { "epoch": 2.67, - "learning_rate": 0.000460223647601608, - "loss": 2.0178, + "learning_rate": 0.00015122091063975382, + "loss": 1.6652, "step": 2110 }, { "epoch": 2.68, - "learning_rate": 0.0004581988677669935, - "loss": 2.0769, + "learning_rate": 0.00014991291819072656, + "loss": 1.7111, "step": 2115 }, { "epoch": 2.69, - "learning_rate": 0.00045617477801883295, - "loss": 2.1209, + "learning_rate": 0.00014860872029014746, + "loss": 1.7738, "step": 2120 }, { "epoch": 2.69, - "learning_rate": 0.00045415141177241545, - "loss": 1.9985, + "learning_rate": 0.00014730834991115503, + "loss": 1.8192, "step": 2125 }, { "epoch": 2.7, - "learning_rate": 0.0004521288024310856, - "loss": 1.9867, + "learning_rate": 0.0001460118399301191, + "loss": 1.6937, "step": 2130 }, { "epoch": 2.71, - "learning_rate": 0.00045010698338569333, - "loss": 2.022, + "learning_rate": 0.00014471922312580968, + "loss": 1.8442, "step": 2135 }, { "epoch": 2.71, - "learning_rate": 0.0004480859880140408, - "loss": 2.0363, + "learning_rate": 0.00014343053217856833, + "loss": 1.8353, "step": 2140 }, { "epoch": 2.72, - "learning_rate": 0.00044606584968033265, - "loss": 2.1197, + "learning_rate": 0.00014214579966948158, + "loss": 1.7505, "step": 2145 }, { "epoch": 2.72, - "learning_rate": 0.00044404660173462477, - "loss": 2.0195, + "learning_rate": 0.0001408650580795579, + "loss": 1.7784, "step": 2150 }, { "epoch": 2.73, - "learning_rate": 0.0004420282775122739, - "loss": 2.0232, + "learning_rate": 0.00013958833978890598, + "loss": 1.7562, "step": 2155 }, { "epoch": 2.74, - "learning_rate": 0.00044001091033338735, - "loss": 2.0646, + "learning_rate": 0.00013831567707591592, + "loss": 1.8261, "step": 2160 }, { "epoch": 2.74, - "learning_rate": 0.0004379945335022726, - "loss": 1.9648, + "learning_rate": 0.0001370471021164438, + "loss": 1.8067, "step": 2165 }, { "epoch": 2.75, - "learning_rate": 0.00043597918030688777, - "loss": 2.1262, + "learning_rate": 0.0001357826469829977, + "loss": 1.766, "step": 2170 }, { "epoch": 2.76, - "learning_rate": 0.0004339648840182919, - "loss": 2.0872, + "learning_rate": 0.0001345223436439271, + "loss": 1.7806, "step": 2175 }, { "epoch": 2.76, - "learning_rate": 0.0004319516778900957, - "loss": 2.0648, + "learning_rate": 0.0001332662239626141, + "loss": 1.6875, "step": 2180 }, { "epoch": 2.77, - "learning_rate": 0.0004299395951579126, - "loss": 1.9803, + "learning_rate": 0.0001320143196966687, + "loss": 1.7399, "step": 2185 }, { "epoch": 2.78, - "learning_rate": 0.0004279286690388107, - "loss": 2.0624, + "learning_rate": 0.00013076666249712532, + "loss": 1.6684, "step": 2190 }, { "epoch": 2.78, - "learning_rate": 0.00042591893273076313, - "loss": 1.989, + "learning_rate": 0.0001295232839076428, + "loss": 1.7932, "step": 2195 }, { "epoch": 2.79, - "learning_rate": 0.00042391041941210086, - "loss": 2.0994, + "learning_rate": 0.00012828421536370652, + "loss": 1.7512, "step": 2200 }, { "epoch": 2.79, - "learning_rate": 0.00042190316224096497, - "loss": 2.1275, + "learning_rate": 0.00012704948819183433, + "loss": 1.7321, "step": 2205 }, { "epoch": 2.8, - "learning_rate": 0.00041989719435475865, - "loss": 1.8627, + "learning_rate": 0.00012581913360878378, + "loss": 1.6867, "step": 2210 }, { "epoch": 2.81, - "learning_rate": 0.0004178925488696012, - "loss": 2.0948, + "learning_rate": 0.00012459318272076372, + "loss": 1.7741, "step": 2215 }, { "epoch": 2.81, - "learning_rate": 0.0004158892588797801, - "loss": 2.1067, + "learning_rate": 0.0001233716665226469, + "loss": 1.7314, "step": 2220 }, { "epoch": 2.82, - "learning_rate": 0.0004138873574572053, - "loss": 2.0034, + "learning_rate": 0.00012215461589718722, + "loss": 1.7479, "step": 2225 }, { "epoch": 2.83, - "learning_rate": 0.0004118868776508633, - "loss": 2.0439, + "learning_rate": 0.00012094206161423849, + "loss": 1.7112, "step": 2230 }, { "epoch": 2.83, - "learning_rate": 0.0004098878524862715, - "loss": 2.0353, + "learning_rate": 0.00011973403432997661, + "loss": 1.5846, "step": 2235 }, { "epoch": 2.84, - "learning_rate": 0.00040789031496493255, - "loss": 2.0757, + "learning_rate": 0.00011853056458612428, + "loss": 1.8141, "step": 2240 }, { "epoch": 2.85, - "learning_rate": 0.00040589429806379057, - "loss": 2.0462, + "learning_rate": 0.00011733168280917927, + "loss": 1.7156, "step": 2245 }, { "epoch": 2.85, - "learning_rate": 0.0004038998347346854, - "loss": 1.9894, + "learning_rate": 0.00011613741930964498, + "loss": 1.7403, "step": 2250 }, { "epoch": 2.86, - "learning_rate": 0.0004019069579038096, - "loss": 2.0345, + "learning_rate": 0.00011494780428126375, + "loss": 1.6505, "step": 2255 }, { "epoch": 2.86, - "learning_rate": 0.00039991570047116456, - "loss": 2.044, + "learning_rate": 0.00011376286780025415, + "loss": 1.7534, "step": 2260 }, { "epoch": 2.87, - "learning_rate": 0.0003979260953100169, - "loss": 1.9671, + "learning_rate": 0.00011258263982455014, + "loss": 1.727, "step": 2265 }, { "epoch": 2.88, - "learning_rate": 0.0003959381752663572, - "loss": 1.9423, + "learning_rate": 0.00011140715019304389, + "loss": 1.813, "step": 2270 }, { "epoch": 2.88, - "learning_rate": 0.00039395197315835573, - "loss": 1.9895, + "learning_rate": 0.00011023642862483104, + "loss": 1.789, "step": 2275 }, { "epoch": 2.89, - "learning_rate": 0.0003919675217758224, - "loss": 1.9851, + "learning_rate": 0.00010907050471845962, + "loss": 1.8312, "step": 2280 }, { "epoch": 2.9, - "learning_rate": 0.00038998485387966425, - "loss": 2.1416, + "learning_rate": 0.00010790940795118183, + "loss": 1.6525, "step": 2285 }, { "epoch": 2.9, - "learning_rate": 0.00038800400220134556, - "loss": 2.0666, + "learning_rate": 0.00010675316767820862, + "loss": 1.7615, "step": 2290 }, { "epoch": 2.91, - "learning_rate": 0.0003860249994423467, - "loss": 2.0336, + "learning_rate": 0.00010560181313196731, + "loss": 1.7096, "step": 2295 }, { "epoch": 2.91, - "learning_rate": 0.00038404787827362477, - "loss": 2.1442, + "learning_rate": 0.00010445537342136298, + "loss": 1.7094, "step": 2300 }, { "epoch": 2.92, - "learning_rate": 0.0003820726713350742, - "loss": 2.0041, + "learning_rate": 0.00010331387753104222, + "loss": 1.7123, "step": 2305 }, { "epoch": 2.93, - "learning_rate": 0.00038009941123498737, - "loss": 2.0138, + "learning_rate": 0.00010217735432066055, + "loss": 1.6466, "step": 2310 }, { "epoch": 2.93, - "learning_rate": 0.0003781281305495171, - "loss": 2.1307, + "learning_rate": 0.00010104583252415227, + "loss": 1.723, "step": 2315 }, { "epoch": 2.94, - "learning_rate": 0.00037615886182213826, - "loss": 1.9921, + "learning_rate": 9.991934074900475e-05, + "loss": 1.727, "step": 2320 }, { "epoch": 2.95, - "learning_rate": 0.0003741916375631105, - "loss": 2.1046, + "learning_rate": 9.879790747553463e-05, + "loss": 1.7698, "step": 2325 }, { "epoch": 2.95, - "learning_rate": 0.0003722264902489425, - "loss": 2.0436, + "learning_rate": 9.768156105616809e-05, + "loss": 1.6874, "step": 2330 }, { "epoch": 2.96, - "learning_rate": 0.00037026345232185414, - "loss": 1.9607, + "learning_rate": 9.657032971472353e-05, + "loss": 1.7301, "step": 2335 }, { "epoch": 2.97, - "learning_rate": 0.00036830255618924265, - "loss": 1.9253, + "learning_rate": 9.546424154569864e-05, + "loss": 1.7576, "step": 2340 }, { "epoch": 2.97, - "learning_rate": 0.0003663438342231462, - "loss": 2.127, + "learning_rate": 9.436332451355987e-05, + "loss": 1.6674, "step": 2345 }, { "epoch": 2.98, - "learning_rate": 0.00036438731875971034, - "loss": 2.1264, + "learning_rate": 9.326760645203518e-05, + "loss": 1.6413, "step": 2350 }, { "epoch": 2.98, - "learning_rate": 0.00036243304209865405, - "loss": 2.038, + "learning_rate": 9.217711506341044e-05, + "loss": 1.7491, "step": 2355 }, { "epoch": 2.99, - "learning_rate": 0.0003604810365027362, - "loss": 2.1015, + "learning_rate": 9.109187791782946e-05, + "loss": 1.6581, "step": 2360 }, { "epoch": 3.0, - "learning_rate": 0.00035853133419722316, - "loss": 2.1424, + "learning_rate": 9.001192245259649e-05, + "loss": 1.8501, "step": 2365 }, { "epoch": 3.0, - "eval_loss": 2.1064605712890625, - "eval_runtime": 95.2849, - "eval_samples_per_second": 134.418, - "eval_steps_per_second": 16.802, + "eval_loss": 1.9110476970672607, + "eval_runtime": 92.8315, + "eval_samples_per_second": 137.97, + "eval_steps_per_second": 8.629, "step": 2367 }, { "epoch": 3.0, - "learning_rate": 0.0003565839673693566, - "loss": 2.0409, + "learning_rate": 8.89372759714827e-05, + "loss": 1.7392, "step": 2370 }, { "epoch": 3.01, - "learning_rate": 0.0003546389681678224, - "loss": 2.023, + "learning_rate": 8.786796564403575e-05, + "loss": 1.7441, "step": 2375 }, { "epoch": 3.02, - "learning_rate": 0.0003526963687022198, - "loss": 1.8723, + "learning_rate": 8.680401850489317e-05, + "loss": 1.6942, "step": 2380 }, { "epoch": 3.02, - "learning_rate": 0.0003507562010425312, - "loss": 1.852, + "learning_rate": 8.574546145309867e-05, + "loss": 1.6711, "step": 2385 }, { "epoch": 3.03, - "learning_rate": 0.000348818497218593, - "loss": 2.0228, + "learning_rate": 8.469232125142186e-05, + "loss": 1.6821, "step": 2390 }, { "epoch": 3.04, - "learning_rate": 0.00034688328921956635, - "loss": 1.8949, + "learning_rate": 8.364462452568217e-05, + "loss": 1.7513, "step": 2395 }, { "epoch": 3.04, - "learning_rate": 0.0003449506089934095, - "loss": 1.911, + "learning_rate": 8.260239776407518e-05, + "loss": 1.7362, "step": 2400 }, { "epoch": 3.05, - "learning_rate": 0.0003430204884463499, - "loss": 1.9915, + "learning_rate": 8.156566731650332e-05, + "loss": 1.6774, "step": 2405 }, { "epoch": 3.05, - "learning_rate": 0.0003410929594423585, - "loss": 1.8748, + "learning_rate": 8.053445939390922e-05, + "loss": 1.7459, "step": 2410 }, { "epoch": 3.06, - "learning_rate": 0.0003391680538026224, - "loss": 2.0819, + "learning_rate": 7.950880006761338e-05, + "loss": 1.6401, "step": 2415 }, { "epoch": 3.07, - "learning_rate": 0.00033724580330502007, - "loss": 1.9166, + "learning_rate": 7.84887152686551e-05, + "loss": 1.6756, "step": 2420 }, { "epoch": 3.07, - "learning_rate": 0.00033532623968359697, - "loss": 1.9435, + "learning_rate": 7.747423078713675e-05, + "loss": 1.6506, "step": 2425 }, { "epoch": 3.08, - "learning_rate": 0.0003334093946280417, - "loss": 1.9159, + "learning_rate": 7.64653722715715e-05, + "loss": 1.7614, "step": 2430 }, { "epoch": 3.09, - "learning_rate": 0.0003314952997831618, - "loss": 2.0227, + "learning_rate": 7.546216522823525e-05, + "loss": 1.6238, "step": 2435 }, { "epoch": 3.09, - "learning_rate": 0.00032958398674836324, - "loss": 1.9393, + "learning_rate": 7.446463502052165e-05, + "loss": 1.7027, "step": 2440 }, { "epoch": 3.1, - "learning_rate": 0.00032767548707712693, - "loss": 1.9019, + "learning_rate": 7.347280686830084e-05, + "loss": 1.6646, "step": 2445 }, { "epoch": 3.11, - "learning_rate": 0.0003257698322764886, - "loss": 1.9114, + "learning_rate": 7.248670584728154e-05, + "loss": 1.7557, "step": 2450 }, { "epoch": 3.11, - "learning_rate": 0.00032386705380651874, - "loss": 1.8678, + "learning_rate": 7.150635688837767e-05, + "loss": 1.6833, "step": 2455 }, { "epoch": 3.12, - "learning_rate": 0.00032196718307980277, - "loss": 1.9498, + "learning_rate": 7.053178477707758e-05, + "loss": 1.5925, "step": 2460 }, { "epoch": 3.12, - "learning_rate": 0.00032007025146092347, - "loss": 1.9621, + "learning_rate": 6.95630141528177e-05, + "loss": 1.6888, "step": 2465 }, { "epoch": 3.13, - "learning_rate": 0.00031817629026594164, - "loss": 1.9599, + "learning_rate": 6.86000695083591e-05, + "loss": 1.7231, "step": 2470 }, { "epoch": 3.14, - "learning_rate": 0.0003162853307618805, - "loss": 1.8853, + "learning_rate": 6.764297518916897e-05, + "loss": 1.6539, "step": 2475 }, { "epoch": 3.14, - "learning_rate": 0.0003143974041662087, - "loss": 1.9151, + "learning_rate": 6.669175539280469e-05, + "loss": 1.6521, "step": 2480 }, { "epoch": 3.15, - "learning_rate": 0.00031251254164632537, - "loss": 1.8902, + "learning_rate": 6.574643416830197e-05, + "loss": 1.7747, "step": 2485 }, { "epoch": 3.16, - "learning_rate": 0.0003106307743190452, - "loss": 1.9937, + "learning_rate": 6.480703541556694e-05, + "loss": 1.6329, "step": 2490 }, { "epoch": 3.16, - "learning_rate": 0.0003087521332500854, - "loss": 2.0179, + "learning_rate": 6.387358288477226e-05, + "loss": 1.6779, "step": 2495 }, { "epoch": 3.17, - "learning_rate": 0.0003068766494535522, - "loss": 2.0089, + "learning_rate": 6.294610017575608e-05, + "loss": 1.6526, "step": 2500 }, { "epoch": 3.17, - "learning_rate": 0.0003050043538914287, - "loss": 1.9892, + "learning_rate": 6.202461073742586e-05, + "loss": 1.6946, "step": 2505 }, { "epoch": 3.18, - "learning_rate": 0.00030313527747306444, - "loss": 1.8901, + "learning_rate": 6.1109137867165e-05, + "loss": 1.7617, "step": 2510 }, { "epoch": 3.19, - "learning_rate": 0.00030126945105466487, - "loss": 1.9044, + "learning_rate": 6.019970471024448e-05, + "loss": 1.6621, "step": 2515 }, { "epoch": 3.19, - "learning_rate": 0.0002994069054387817, - "loss": 1.949, + "learning_rate": 5.929633425923729e-05, + "loss": 1.6993, "step": 2520 }, { "epoch": 3.2, - "learning_rate": 0.00029754767137380426, - "loss": 1.8189, + "learning_rate": 5.839904935343699e-05, + "loss": 1.7324, "step": 2525 }, { "epoch": 3.21, - "learning_rate": 0.0002956917795534528, - "loss": 1.988, + "learning_rate": 5.7507872678280676e-05, + "loss": 1.6393, "step": 2530 }, { "epoch": 3.21, - "learning_rate": 0.00029383926061627054, - "loss": 2.0487, + "learning_rate": 5.6622826764775207e-05, + "loss": 1.763, "step": 2535 }, { "epoch": 3.22, - "learning_rate": 0.0002919901451451187, - "loss": 1.9252, + "learning_rate": 5.574393398892777e-05, + "loss": 1.7249, "step": 2540 }, { "epoch": 3.23, - "learning_rate": 0.00029014446366667113, - "loss": 1.9607, + "learning_rate": 5.487121657117961e-05, + "loss": 1.6655, "step": 2545 }, { "epoch": 3.23, - "learning_rate": 0.00028830224665091106, - "loss": 2.0455, + "learning_rate": 5.400469657584504e-05, + "loss": 1.6952, "step": 2550 }, { "epoch": 3.24, - "learning_rate": 0.0002864635245106272, - "loss": 1.9129, + "learning_rate": 5.314439591055294e-05, + "loss": 1.6554, "step": 2555 }, { "epoch": 3.24, - "learning_rate": 0.0002846283276009124, - "loss": 2.0086, + "learning_rate": 5.229033632569339e-05, + "loss": 1.7214, "step": 2560 }, { "epoch": 3.25, - "learning_rate": 0.0002827966862186616, - "loss": 1.9384, + "learning_rate": 5.144253941386721e-05, + "loss": 1.6063, "step": 2565 }, { "epoch": 3.26, - "learning_rate": 0.000280968630602073, - "loss": 1.991, + "learning_rate": 5.0601026609340625e-05, + "loss": 1.62, "step": 2570 }, { "epoch": 3.26, - "learning_rate": 0.00027914419093014734, - "loss": 1.8516, + "learning_rate": 4.9765819187503044e-05, + "loss": 1.6993, "step": 2575 }, { "epoch": 3.27, - "learning_rate": 0.00027732339732219137, - "loss": 1.966, + "learning_rate": 4.893693826432921e-05, + "loss": 1.7051, "step": 2580 }, { "epoch": 3.28, - "learning_rate": 0.0002755062798373189, - "loss": 1.9472, + "learning_rate": 4.811440479584526e-05, + "loss": 1.6912, "step": 2585 }, { "epoch": 3.28, - "learning_rate": 0.0002736928684739558, - "loss": 1.8879, + "learning_rate": 4.7298239577599126e-05, + "loss": 1.748, "step": 2590 }, { "epoch": 3.29, - "learning_rate": 0.0002718831931693443, - "loss": 1.9771, + "learning_rate": 4.648846324413458e-05, + "loss": 1.5512, "step": 2595 }, { "epoch": 3.3, - "learning_rate": 0.00027007728379904814, - "loss": 1.8985, + "learning_rate": 4.5685096268469725e-05, + "loss": 1.5986, "step": 2600 }, { "epoch": 3.3, - "learning_rate": 0.0002682751701764615, - "loss": 2.0464, + "learning_rate": 4.488815896157907e-05, + "loss": 1.7881, "step": 2605 }, { "epoch": 3.31, - "learning_rate": 0.0002664768820523137, - "loss": 1.8301, + "learning_rate": 4.409767147188038e-05, + "loss": 1.6585, "step": 2610 }, { "epoch": 3.31, - "learning_rate": 0.0002646824491141807, - "loss": 1.8646, + "learning_rate": 4.33136537847252e-05, + "loss": 1.6925, "step": 2615 }, { "epoch": 3.32, - "learning_rate": 0.0002628919009859934, - "loss": 1.9277, + "learning_rate": 4.253612572189331e-05, + "loss": 1.6719, "step": 2620 }, { "epoch": 3.33, - "learning_rate": 0.0002611052672275495, - "loss": 1.8923, + "learning_rate": 4.176510694109188e-05, + "loss": 1.628, "step": 2625 }, { "epoch": 3.33, - "learning_rate": 0.0002593225773340251, - "loss": 1.8747, + "learning_rate": 4.100061693545836e-05, + "loss": 1.7002, "step": 2630 }, { "epoch": 3.34, - "learning_rate": 0.00025754386073548776, - "loss": 1.9835, + "learning_rate": 4.024267503306772e-05, + "loss": 1.7025, "step": 2635 }, { "epoch": 3.35, - "learning_rate": 0.000255769146796411, - "loss": 1.9034, + "learning_rate": 3.94913003964438e-05, + "loss": 1.6637, "step": 2640 }, { "epoch": 3.35, - "learning_rate": 0.0002539984648151886, - "loss": 1.9571, + "learning_rate": 3.874651202207457e-05, + "loss": 1.6331, "step": 2645 }, { "epoch": 3.36, - "learning_rate": 0.00025223184402365224, - "loss": 1.9356, + "learning_rate": 3.8008328739932173e-05, + "loss": 1.8004, "step": 2650 }, { "epoch": 3.36, - "learning_rate": 0.0002504693135865875, - "loss": 1.9416, + "learning_rate": 3.727676921299686e-05, + "loss": 1.5581, "step": 2655 }, { "epoch": 3.37, - "learning_rate": 0.00024871090260125423, - "loss": 2.0262, + "learning_rate": 3.655185193678483e-05, + "loss": 1.7183, "step": 2660 }, { "epoch": 3.38, - "learning_rate": 0.000246956640096904, - "loss": 2.0165, + "learning_rate": 3.583359523888095e-05, + "loss": 1.8335, "step": 2665 }, { "epoch": 3.38, - "learning_rate": 0.0002452065550343026, - "loss": 2.0138, + "learning_rate": 3.512201727847522e-05, + "loss": 1.6968, "step": 2670 }, { "epoch": 3.39, - "learning_rate": 0.00024346067630525082, - "loss": 2.0022, + "learning_rate": 3.441713604590386e-05, + "loss": 1.6507, "step": 2675 }, { "epoch": 3.4, - "learning_rate": 0.00024171903273210828, - "loss": 1.8902, + "learning_rate": 3.371896936219405e-05, + "loss": 1.7317, "step": 2680 }, { "epoch": 3.4, - "learning_rate": 0.0002399816530673171, - "loss": 2.0161, + "learning_rate": 3.302753487861384e-05, + "loss": 1.6244, "step": 2685 }, { "epoch": 3.41, - "learning_rate": 0.00023824856599292762, - "loss": 1.973, + "learning_rate": 3.234285007622576e-05, + "loss": 1.7972, "step": 2690 }, { "epoch": 3.42, - "learning_rate": 0.00023651980012012454, - "loss": 1.8932, + "learning_rate": 3.166493226544461e-05, + "loss": 1.6254, "step": 2695 }, { "epoch": 3.42, - "learning_rate": 0.00023479538398875433, - "loss": 1.9342, + "learning_rate": 3.099379858560002e-05, + "loss": 1.684, "step": 2700 }, { "epoch": 3.43, - "learning_rate": 0.00023307534606685525, - "loss": 1.8307, + "learning_rate": 3.0329466004503232e-05, + "loss": 1.6569, "step": 2705 }, { "epoch": 3.43, - "learning_rate": 0.00023135971475018557, - "loss": 1.9087, + "learning_rate": 2.9671951318017896e-05, + "loss": 1.6789, "step": 2710 }, { "epoch": 3.44, - "learning_rate": 0.00022964851836175705, - "loss": 1.8213, + "learning_rate": 2.9021271149635617e-05, + "loss": 1.6185, "step": 2715 }, { "epoch": 3.45, - "learning_rate": 0.00022794178515136494, - "loss": 1.9313, + "learning_rate": 2.837744195005537e-05, + "loss": 1.6109, "step": 2720 }, { "epoch": 3.45, - "learning_rate": 0.00022623954329512348, - "loss": 2.0212, + "learning_rate": 2.774047999676804e-05, + "loss": 1.6916, "step": 2725 }, { "epoch": 3.46, - "learning_rate": 0.00022454182089500004, - "loss": 1.8266, + "learning_rate": 2.7110401393644464e-05, + "loss": 1.7584, "step": 2730 }, { "epoch": 3.47, - "learning_rate": 0.00022284864597835058, - "loss": 1.9772, + "learning_rate": 2.648722207052869e-05, + "loss": 1.7248, "step": 2735 }, { "epoch": 3.47, - "learning_rate": 0.00022116004649745826, - "loss": 1.9601, + "learning_rate": 2.587095778283469e-05, + "loss": 1.6746, "step": 2740 }, { "epoch": 3.48, - "learning_rate": 0.00021947605032907099, - "loss": 1.8989, + "learning_rate": 2.5261624111148647e-05, + "loss": 1.528, "step": 2745 }, { "epoch": 3.49, - "learning_rate": 0.00021779668527394187, - "loss": 1.9805, + "learning_rate": 2.4659236460834653e-05, + "loss": 1.6895, "step": 2750 }, { "epoch": 3.49, - "learning_rate": 0.0002161219790563691, - "loss": 1.8144, + "learning_rate": 2.4063810061645227e-05, + "loss": 1.6019, "step": 2755 }, { "epoch": 3.5, - "learning_rate": 0.00021445195932373986, - "loss": 1.9025, + "learning_rate": 2.3475359967336515e-05, + "loss": 1.722, "step": 2760 }, { "epoch": 3.5, - "learning_rate": 0.0002127866536460727, - "loss": 1.8811, + "learning_rate": 2.289390105528741e-05, + "loss": 1.6991, "step": 2765 }, { "epoch": 3.51, - "learning_rate": 0.00021112608951556316, - "loss": 1.998, + "learning_rate": 2.231944802612363e-05, + "loss": 1.5819, "step": 2770 }, { "epoch": 3.52, - "learning_rate": 0.00020947029434612886, - "loss": 1.8758, + "learning_rate": 2.1752015403346012e-05, + "loss": 1.6904, "step": 2775 }, { "epoch": 3.52, - "learning_rate": 0.00020781929547295815, - "loss": 1.8745, + "learning_rate": 2.1191617532963134e-05, + "loss": 1.7386, "step": 2780 }, { "epoch": 3.53, - "learning_rate": 0.00020617312015205842, - "loss": 1.8758, + "learning_rate": 2.0638268583128948e-05, + "loss": 1.6986, "step": 2785 }, { "epoch": 3.54, - "learning_rate": 0.00020453179555980533, - "loss": 1.9658, + "learning_rate": 2.009198254378436e-05, + "loss": 1.5248, "step": 2790 }, { "epoch": 3.54, - "learning_rate": 0.00020289534879249543, - "loss": 1.7781, + "learning_rate": 1.955277322630341e-05, + "loss": 1.6078, "step": 2795 }, { "epoch": 3.55, - "learning_rate": 0.00020126380686589807, - "loss": 1.9071, + "learning_rate": 1.90206542631444e-05, + "loss": 1.7261, "step": 2800 }, { "epoch": 3.56, - "learning_rate": 0.0001996371967148098, - "loss": 1.813, + "learning_rate": 1.849563910750508e-05, + "loss": 1.7388, "step": 2805 }, { "epoch": 3.56, - "learning_rate": 0.00019801554519260884, - "loss": 1.9647, + "learning_rate": 1.7977741032982505e-05, + "loss": 1.5929, "step": 2810 }, { "epoch": 3.57, - "learning_rate": 0.00019639887907081294, - "loss": 1.9145, + "learning_rate": 1.746697313323737e-05, + "loss": 1.6728, "step": 2815 }, { "epoch": 3.57, - "learning_rate": 0.00019478722503863706, - "loss": 1.9741, + "learning_rate": 1.6963348321663196e-05, + "loss": 1.6515, "step": 2820 }, { "epoch": 3.58, - "learning_rate": 0.0001931806097025517, - "loss": 1.9005, + "learning_rate": 1.6466879331059625e-05, + "loss": 1.7021, "step": 2825 }, { "epoch": 3.59, - "learning_rate": 0.00019157905958584582, - "loss": 1.9434, + "learning_rate": 1.5977578713310756e-05, + "loss": 1.6253, "step": 2830 }, { "epoch": 3.59, - "learning_rate": 0.0001899826011281865, - "loss": 1.8557, + "learning_rate": 1.549545883906733e-05, + "loss": 1.6577, "step": 2835 }, { "epoch": 3.6, - "learning_rate": 0.00018839126068518448, - "loss": 1.9641, + "learning_rate": 1.5020531897434607e-05, + "loss": 1.706, "step": 2840 }, { "epoch": 3.61, - "learning_rate": 0.0001868050645279576, - "loss": 1.9206, + "learning_rate": 1.4552809895663708e-05, + "loss": 1.5845, "step": 2845 }, { "epoch": 3.61, - "learning_rate": 0.00018522403884269813, - "loss": 1.8437, + "learning_rate": 1.4092304658848408e-05, + "loss": 1.6619, "step": 2850 }, { "epoch": 3.62, - "learning_rate": 0.00018364820973024, - "loss": 1.9311, + "learning_rate": 1.363902782962566e-05, + "loss": 1.6819, "step": 2855 }, { "epoch": 3.62, - "learning_rate": 0.00018207760320562794, - "loss": 1.9442, + "learning_rate": 1.3192990867881836e-05, + "loss": 1.7691, "step": 2860 }, { "epoch": 3.63, - "learning_rate": 0.00018051224519768816, - "loss": 1.8921, + "learning_rate": 1.2754205050462595e-05, + "loss": 1.7589, "step": 2865 }, { "epoch": 3.64, - "learning_rate": 0.00017895216154859966, - "loss": 1.8873, + "learning_rate": 1.2322681470887975e-05, + "loss": 1.5541, "step": 2870 }, { "epoch": 3.64, - "learning_rate": 0.00017739737801346895, - "loss": 1.9562, + "learning_rate": 1.1898431039071744e-05, + "loss": 1.6272, "step": 2875 }, { "epoch": 3.65, - "learning_rate": 0.00017584792025990287, - "loss": 1.9437, + "learning_rate": 1.1481464481045766e-05, + "loss": 1.7351, "step": 2880 }, { "epoch": 3.66, - "learning_rate": 0.00017430381386758747, - "loss": 1.8848, + "learning_rate": 1.1071792338688712e-05, + "loss": 1.7503, "step": 2885 }, { "epoch": 3.66, - "learning_rate": 0.00017276508432786304, - "loss": 1.9044, + "learning_rate": 1.066942496945954e-05, + "loss": 1.6801, "step": 2890 }, { "epoch": 3.67, - "learning_rate": 0.00017123175704330512, - "loss": 1.8581, + "learning_rate": 1.0274372546135668e-05, + "loss": 1.6642, "step": 2895 }, { "epoch": 3.68, - "learning_rate": 0.00016970385732730414, - "loss": 1.9017, + "learning_rate": 9.886645056555786e-06, + "loss": 1.683, "step": 2900 }, { "epoch": 3.68, - "learning_rate": 0.00016818141040364815, - "loss": 1.7544, + "learning_rate": 9.50625230336729e-06, + "loss": 1.6882, "step": 2905 }, { "epoch": 3.69, - "learning_rate": 0.00016666444140610615, - "loss": 1.92, + "learning_rate": 9.133203903778507e-06, + "loss": 1.6786, "step": 2910 }, { "epoch": 3.69, - "learning_rate": 0.00016515297537801304, - "loss": 1.8981, + "learning_rate": 8.767509289315499e-06, + "loss": 1.6582, "step": 2915 }, { "epoch": 3.7, - "learning_rate": 0.00016364703727185664, - "loss": 1.97, + "learning_rate": 8.409177705583647e-06, + "loss": 1.7466, "step": 2920 }, { "epoch": 3.71, - "learning_rate": 0.00016214665194886474, - "loss": 1.8704, + "learning_rate": 8.05821821203394e-06, + "loss": 1.6726, "step": 2925 }, { "epoch": 3.71, - "learning_rate": 0.00016065184417859613, - "loss": 1.9395, + "learning_rate": 7.714639681733758e-06, + "loss": 1.7564, "step": 2930 }, { "epoch": 3.72, - "learning_rate": 0.00015916263863853, - "loss": 1.9092, + "learning_rate": 7.378450801142821e-06, + "loss": 1.6652, "step": 2935 }, { "epoch": 3.73, - "learning_rate": 0.0001576790599136607, - "loss": 1.8171, + "learning_rate": 7.049660069893292e-06, + "loss": 1.6479, "step": 2940 }, { "epoch": 3.73, - "learning_rate": 0.00015620113249608942, - "loss": 1.8367, + "learning_rate": 6.7282758005750895e-06, + "loss": 1.5413, "step": 2945 }, { "epoch": 3.74, - "learning_rate": 0.00015472888078462172, - "loss": 1.9402, + "learning_rate": 6.414306118525614e-06, + "loss": 1.6467, "step": 2950 }, { "epoch": 3.75, - "learning_rate": 0.00015326232908436405, - "loss": 1.9839, + "learning_rate": 6.107758961624354e-06, + "loss": 1.667, "step": 2955 }, { "epoch": 3.75, - "learning_rate": 0.00015180150160632195, - "loss": 1.8956, + "learning_rate": 5.808642080092207e-06, + "loss": 1.798, "step": 2960 }, { "epoch": 3.76, - "learning_rate": 0.00015034642246700204, - "loss": 1.8861, + "learning_rate": 5.516963036295608e-06, + "loss": 1.5463, "step": 2965 }, { "epoch": 3.76, - "learning_rate": 0.00014889711568801152, - "loss": 2.0093, + "learning_rate": 5.2327292045551085e-06, + "loss": 1.6894, "step": 2970 }, { "epoch": 3.77, - "learning_rate": 0.00014745360519566382, - "loss": 1.9242, + "learning_rate": 4.955947770959134e-06, + "loss": 1.7042, "step": 2975 }, { "epoch": 3.78, - "learning_rate": 0.0001460159148205819, - "loss": 1.9005, + "learning_rate": 4.686625733182326e-06, + "loss": 1.6668, "step": 2980 }, { "epoch": 3.78, - "learning_rate": 0.0001445840682973062, - "loss": 1.9462, + "learning_rate": 4.4247699003085115e-06, + "loss": 1.6509, "step": 2985 }, { "epoch": 3.79, - "learning_rate": 0.00014315808926390188, - "loss": 2.0249, + "learning_rate": 4.170386892658584e-06, + "loss": 1.6335, "step": 2990 }, { "epoch": 3.8, - "learning_rate": 0.00014173800126156917, - "loss": 1.9317, + "learning_rate": 3.9234831416230964e-06, + "loss": 1.6733, "step": 2995 }, { "epoch": 3.8, - "learning_rate": 0.00014032382773425384, - "loss": 2.0039, + "learning_rate": 3.684064889499794e-06, + "loss": 1.5888, "step": 3000 }, { "epoch": 3.81, - "learning_rate": 0.00013891559202826133, - "loss": 1.9658, + "learning_rate": 3.452138189335707e-06, + "loss": 1.6766, "step": 3005 }, { "epoch": 3.81, - "learning_rate": 0.0001375133173918709, - "loss": 1.9448, + "learning_rate": 3.22770890477394e-06, + "loss": 1.7595, "step": 3010 }, { "epoch": 3.82, - "learning_rate": 0.00013611702697495086, - "loss": 1.8653, + "learning_rate": 3.0107827099057902e-06, + "loss": 1.6369, "step": 3015 }, { "epoch": 3.83, - "learning_rate": 0.0001347267438285786, - "loss": 1.9222, + "learning_rate": 2.8013650891269947e-06, + "loss": 1.7237, "step": 3020 }, { "epoch": 3.83, - "learning_rate": 0.0001333424909046574, - "loss": 1.8796, + "learning_rate": 2.5994613369992424e-06, + "loss": 1.6978, "step": 3025 }, { "epoch": 3.84, - "learning_rate": 0.0001319642910555396, - "loss": 1.8942, + "learning_rate": 2.405076558116181e-06, + "loss": 1.6101, "step": 3030 }, { "epoch": 3.85, - "learning_rate": 0.00013059216703364813, - "loss": 1.9026, + "learning_rate": 2.2182156669744543e-06, + "loss": 1.7091, "step": 3035 }, { "epoch": 3.85, - "learning_rate": 0.00012922614149110152, - "loss": 1.9212, + "learning_rate": 2.038883387849499e-06, + "loss": 1.7317, "step": 3040 }, { "epoch": 3.86, - "learning_rate": 0.0001278662369793398, - "loss": 1.9068, + "learning_rate": 1.8670842546759102e-06, + "loss": 1.6832, "step": 3045 }, { "epoch": 3.87, - "learning_rate": 0.000126512475948752, - "loss": 1.9956, + "learning_rate": 1.7028226109329967e-06, + "loss": 1.7484, "step": 3050 }, { "epoch": 3.87, - "learning_rate": 0.00012516488074830584, - "loss": 1.8775, + "learning_rate": 1.5461026095349048e-06, + "loss": 1.7254, "step": 3055 }, { "epoch": 3.88, - "learning_rate": 0.00012382347362517815, - "loss": 1.9005, + "learning_rate": 1.396928212725701e-06, + "loss": 1.6582, "step": 3060 }, { "epoch": 3.88, - "learning_rate": 0.00012248827672438868, - "loss": 1.9538, + "learning_rate": 1.255303191978918e-06, + "loss": 1.6625, "step": 3065 }, { "epoch": 3.89, - "learning_rate": 0.00012115931208843318, - "loss": 1.8309, + "learning_rate": 1.1212311279026331e-06, + "loss": 1.7218, "step": 3070 }, { "epoch": 3.9, - "learning_rate": 0.00011983660165692079, - "loss": 2.0001, + "learning_rate": 9.947154101486056e-07, + "loss": 1.7083, "step": 3075 }, { "epoch": 3.9, - "learning_rate": 0.00011852016726621096, - "loss": 1.8293, + "learning_rate": 8.757592373266787e-07, + "loss": 1.6781, "step": 3080 }, { "epoch": 3.91, - "learning_rate": 0.00011721003064905328, - "loss": 1.9337, + "learning_rate": 7.643656169239454e-07, + "loss": 1.6367, "step": 3085 }, { "epoch": 3.92, - "learning_rate": 0.0001159062134342289, - "loss": 1.912, + "learning_rate": 6.60537365228675e-07, + "loss": 1.7258, "step": 3090 }, { "epoch": 3.92, - "learning_rate": 0.00011460873714619274, - "loss": 1.8585, + "learning_rate": 5.642771072591701e-07, + "loss": 1.6879, "step": 3095 }, { "epoch": 3.93, - "learning_rate": 0.00011331762320471906, - "loss": 1.9535, + "learning_rate": 4.755872766972868e-07, + "loss": 1.6689, "step": 3100 }, { "epoch": 3.94, - "learning_rate": 0.00011203289292454726, - "loss": 1.9018, + "learning_rate": 3.9447011582698363e-07, + "loss": 1.6646, "step": 3105 }, { "epoch": 3.94, - "learning_rate": 0.00011075456751503043, - "loss": 1.9418, + "learning_rate": 3.2092767547770015e-07, + "loss": 1.738, "step": 3110 }, { "epoch": 3.95, - "learning_rate": 0.0001094826680797843, - "loss": 1.9581, + "learning_rate": 2.5496181497233206e-07, + "loss": 1.6647, "step": 3115 }, { "epoch": 3.95, - "learning_rate": 0.00010821721561634024, - "loss": 1.9045, + "learning_rate": 1.9657420208036846e-07, + "loss": 1.6639, "step": 3120 }, { "epoch": 3.96, - "learning_rate": 0.00010695823101579727, - "loss": 1.8314, + "learning_rate": 1.4576631297562592e-07, + "loss": 1.7068, "step": 3125 }, { "epoch": 3.97, - "learning_rate": 0.00010570573506247811, - "loss": 1.9717, + "learning_rate": 1.025394321990447e-07, + "loss": 1.6258, "step": 3130 }, { "epoch": 3.97, - "learning_rate": 0.00010445974843358564, - "loss": 1.9037, + "learning_rate": 6.689465262614823e-08, + "loss": 1.6464, "step": 3135 }, { "epoch": 3.98, - "learning_rate": 0.0001032202916988616, - "loss": 1.8119, + "learning_rate": 3.8832875439331887e-08, + "loss": 1.6809, "step": 3140 }, { "epoch": 3.99, - "learning_rate": 0.00010198738532024716, - "loss": 1.8549, + "learning_rate": 1.8354810105214446e-08, + "loss": 1.7999, "step": 3145 }, { "epoch": 3.99, - "learning_rate": 0.00010076104965154459, - "loss": 1.8318, + "learning_rate": 5.4609743566191854e-09, + "loss": 1.6112, "step": 3150 }, { "epoch": 4.0, - "learning_rate": 9.9541304938082e-05, - "loss": 1.9885, + "learning_rate": 1.516941795509652e-10, + "loss": 1.7376, "step": 3155 }, { "epoch": 4.0, - "eval_loss": 2.0513949394226074, - "eval_runtime": 95.3176, - "eval_samples_per_second": 134.372, - "eval_steps_per_second": 16.796, + "eval_loss": 1.912619948387146, + "eval_runtime": 92.8221, + "eval_samples_per_second": 137.984, + "eval_steps_per_second": 8.629, "step": 3156 }, { - "epoch": 4.01, - "learning_rate": 9.832817131637867e-05, - "loss": 1.9155, - "step": 3160 - }, - { - "epoch": 4.01, - "learning_rate": 9.71216688138128e-05, - "loss": 1.8082, - "step": 3165 - }, - { - "epoch": 4.02, - "learning_rate": 9.592181734829036e-05, - "loss": 1.8647, - "step": 3170 - }, - { - "epoch": 4.02, - "learning_rate": 9.472863672791721e-05, - "loss": 1.8277, - "step": 3175 - }, - { - "epoch": 4.03, - "learning_rate": 9.35421466506714e-05, - "loss": 1.9529, - "step": 3180 - }, - { - "epoch": 4.04, - "learning_rate": 9.236236670407771e-05, - "loss": 1.8167, - "step": 3185 - }, - { - "epoch": 4.04, - "learning_rate": 9.11893163648857e-05, - "loss": 1.9159, - "step": 3190 - }, - { - "epoch": 4.05, - "learning_rate": 9.002301499874621e-05, - "loss": 1.7958, - "step": 3195 - }, - { - "epoch": 4.06, - "learning_rate": 8.886348185989334e-05, - "loss": 1.865, - "step": 3200 - }, - { - "epoch": 4.06, - "learning_rate": 8.771073609082531e-05, - "loss": 1.859, - "step": 3205 - }, - { - "epoch": 4.07, - "learning_rate": 8.656479672198947e-05, - "loss": 1.8602, - "step": 3210 - }, - { - "epoch": 4.07, - "learning_rate": 8.54256826714676e-05, - "loss": 1.8442, - "step": 3215 - }, - { - "epoch": 4.08, - "learning_rate": 8.429341274466368e-05, - "loss": 1.8399, - "step": 3220 - }, - { - "epoch": 4.09, - "learning_rate": 8.316800563399307e-05, - "loss": 1.895, - "step": 3225 - }, - { - "epoch": 4.09, - "learning_rate": 8.204947991857486e-05, - "loss": 1.8071, - "step": 3230 - }, - { - "epoch": 4.1, - "learning_rate": 8.093785406392429e-05, - "loss": 1.9761, - "step": 3235 - }, - { - "epoch": 4.11, - "learning_rate": 7.983314642164786e-05, - "loss": 1.8828, - "step": 3240 - }, - { - "epoch": 4.11, - "learning_rate": 7.873537522914154e-05, - "loss": 1.9077, - "step": 3245 - }, - { - "epoch": 4.12, - "learning_rate": 7.764455860928793e-05, - "loss": 1.867, - "step": 3250 - }, - { - "epoch": 4.13, - "learning_rate": 7.656071457015878e-05, - "loss": 1.8226, - "step": 3255 - }, - { - "epoch": 4.13, - "learning_rate": 7.548386100471621e-05, - "loss": 1.821, - "step": 3260 - }, - { - "epoch": 4.14, - "learning_rate": 7.441401569051847e-05, - "loss": 1.8415, - "step": 3265 - }, - { - "epoch": 4.14, - "learning_rate": 7.335119628942594e-05, - "loss": 1.8206, - "step": 3270 - }, - { - "epoch": 4.15, - "learning_rate": 7.229542034730952e-05, - "loss": 1.8202, - "step": 3275 - }, - { - "epoch": 4.16, - "learning_rate": 7.124670529376126e-05, - "loss": 1.9373, - "step": 3280 - }, - { - "epoch": 4.16, - "learning_rate": 7.020506844180608e-05, - "loss": 1.8372, - "step": 3285 - }, - { - "epoch": 4.17, - "learning_rate": 6.917052698761666e-05, - "loss": 1.8923, - "step": 3290 - }, - { - "epoch": 4.18, - "learning_rate": 6.814309801022872e-05, - "loss": 1.8606, - "step": 3295 - }, - { - "epoch": 4.18, - "learning_rate": 6.712279847126035e-05, - "loss": 1.8864, - "step": 3300 - }, - { - "epoch": 4.19, - "learning_rate": 6.610964521463031e-05, - "loss": 1.8178, - "step": 3305 - }, - { - "epoch": 4.2, - "learning_rate": 6.510365496628129e-05, - "loss": 1.8438, - "step": 3310 - }, - { - "epoch": 4.2, - "learning_rate": 6.410484433390334e-05, - "loss": 1.79, - "step": 3315 - }, - { - "epoch": 4.21, - "learning_rate": 6.311322980665934e-05, - "loss": 1.8641, - "step": 3320 - }, - { - "epoch": 4.21, - "learning_rate": 6.212882775491352e-05, - "loss": 1.8712, - "step": 3325 - }, - { - "epoch": 4.22, - "learning_rate": 6.115165442996056e-05, - "loss": 1.863, - "step": 3330 - }, - { - "epoch": 4.23, - "learning_rate": 6.018172596375776e-05, - "loss": 1.8744, - "step": 3335 - }, - { - "epoch": 4.23, - "learning_rate": 5.921905836865821e-05, - "loss": 1.8524, - "step": 3340 - }, - { - "epoch": 4.24, - "learning_rate": 5.826366753714707e-05, - "loss": 1.9031, - "step": 3345 - }, - { - "epoch": 4.25, - "learning_rate": 5.731556924157844e-05, - "loss": 1.784, - "step": 3350 - }, - { - "epoch": 4.25, - "learning_rate": 5.6374779133916035e-05, - "loss": 1.8172, - "step": 3355 - }, - { - "epoch": 4.26, - "learning_rate": 5.544131274547365e-05, - "loss": 1.8779, - "step": 3360 - }, - { - "epoch": 4.26, - "learning_rate": 5.4515185486659454e-05, - "loss": 1.7402, - "step": 3365 - }, - { - "epoch": 4.27, - "learning_rate": 5.359641264672155e-05, - "loss": 1.9493, - "step": 3370 - }, - { - "epoch": 4.28, - "learning_rate": 5.268500939349513e-05, - "loss": 1.8279, - "step": 3375 - }, - { - "epoch": 4.28, - "learning_rate": 5.178099077315257e-05, - "loss": 1.7599, - "step": 3380 - }, - { - "epoch": 4.29, - "learning_rate": 5.0884371709954804e-05, - "loss": 1.7905, - "step": 3385 - }, - { - "epoch": 4.3, - "learning_rate": 4.999516700600504e-05, - "loss": 1.8888, - "step": 3390 - }, - { - "epoch": 4.3, - "learning_rate": 4.911339134100401e-05, - "loss": 1.8539, - "step": 3395 - }, - { - "epoch": 4.31, - "learning_rate": 4.823905927200833e-05, - "loss": 1.8406, - "step": 3400 - }, - { - "epoch": 4.32, - "learning_rate": 4.737218523318965e-05, - "loss": 1.8983, - "step": 3405 - }, - { - "epoch": 4.32, - "learning_rate": 4.65127835355964e-05, - "loss": 1.7739, - "step": 3410 - }, - { - "epoch": 4.33, - "learning_rate": 4.566086836691791e-05, - "loss": 1.8877, - "step": 3415 - }, - { - "epoch": 4.33, - "learning_rate": 4.4816453791249436e-05, - "loss": 1.8403, - "step": 3420 - }, - { - "epoch": 4.34, - "learning_rate": 4.3979553748861035e-05, - "loss": 1.9217, - "step": 3425 - }, - { - "epoch": 4.35, - "learning_rate": 4.3150182055966384e-05, - "loss": 1.8122, - "step": 3430 - }, - { - "epoch": 4.35, - "learning_rate": 4.232835240449534e-05, - "loss": 1.8977, - "step": 3435 - }, - { - "epoch": 4.36, - "learning_rate": 4.1514078361867826e-05, - "loss": 1.9035, - "step": 3440 - }, - { - "epoch": 4.37, - "learning_rate": 4.070737337076963e-05, - "loss": 1.8811, - "step": 3445 - }, - { - "epoch": 4.37, - "learning_rate": 3.990825074893056e-05, - "loss": 1.9786, - "step": 3450 - }, - { - "epoch": 4.38, - "learning_rate": 3.911672368890462e-05, - "loss": 1.9312, - "step": 3455 - }, - { - "epoch": 4.39, - "learning_rate": 3.8332805257852374e-05, - "loss": 1.8757, - "step": 3460 - }, - { - "epoch": 4.39, - "learning_rate": 3.755650839732489e-05, - "loss": 1.8269, - "step": 3465 - }, - { - "epoch": 4.4, - "learning_rate": 3.67878459230504e-05, - "loss": 1.7784, - "step": 3470 - }, - { - "epoch": 4.4, - "learning_rate": 3.6026830524722444e-05, - "loss": 1.8365, - "step": 3475 - }, - { - "epoch": 4.41, - "learning_rate": 3.527347476579068e-05, - "loss": 1.9105, - "step": 3480 - }, - { - "epoch": 4.42, - "learning_rate": 3.4527791083253154e-05, - "loss": 1.8909, - "step": 3485 - }, - { - "epoch": 4.42, - "learning_rate": 3.3789791787451344e-05, - "loss": 1.9213, - "step": 3490 - }, - { - "epoch": 4.43, - "learning_rate": 3.305948906186662e-05, - "loss": 1.7467, - "step": 3495 - }, - { - "epoch": 4.44, - "learning_rate": 3.233689496291931e-05, - "loss": 1.8005, - "step": 3500 - }, - { - "epoch": 4.44, - "learning_rate": 3.162202141976955e-05, - "loss": 1.9142, - "step": 3505 - }, - { - "epoch": 4.45, - "learning_rate": 3.09148802341202e-05, - "loss": 1.8589, - "step": 3510 - }, - { - "epoch": 4.45, - "learning_rate": 3.0215483080022478e-05, - "loss": 1.9262, - "step": 3515 - }, - { - "epoch": 4.46, - "learning_rate": 2.9523841503682757e-05, - "loss": 1.8654, - "step": 3520 - }, - { - "epoch": 4.47, - "learning_rate": 2.8839966923272288e-05, - "loss": 1.8914, - "step": 3525 - }, - { - "epoch": 4.47, - "learning_rate": 2.8163870628738375e-05, - "loss": 1.8989, - "step": 3530 - }, - { - "epoch": 4.48, - "learning_rate": 2.7495563781618328e-05, - "loss": 1.8157, - "step": 3535 - }, - { - "epoch": 4.49, - "learning_rate": 2.6835057414855036e-05, - "loss": 1.8452, - "step": 3540 - }, - { - "epoch": 4.49, - "learning_rate": 2.6182362432614513e-05, - "loss": 1.8583, - "step": 3545 - }, - { - "epoch": 4.5, - "learning_rate": 2.5537489610106824e-05, - "loss": 1.7927, - "step": 3550 - }, - { - "epoch": 4.51, - "learning_rate": 2.4900449593406984e-05, - "loss": 1.928, - "step": 3555 - }, - { - "epoch": 4.51, - "learning_rate": 2.4271252899280173e-05, - "loss": 1.8615, - "step": 3560 - }, - { - "epoch": 4.52, - "learning_rate": 2.364990991500743e-05, - "loss": 1.8917, - "step": 3565 - }, - { - "epoch": 4.52, - "learning_rate": 2.3036430898214832e-05, - "loss": 1.7866, - "step": 3570 - }, - { - "epoch": 4.53, - "learning_rate": 2.2430825976703484e-05, - "loss": 1.768, - "step": 3575 - }, - { - "epoch": 4.54, - "learning_rate": 2.1833105148282905e-05, - "loss": 1.7868, - "step": 3580 - }, - { - "epoch": 4.54, - "learning_rate": 2.1243278280605515e-05, - "loss": 1.8383, - "step": 3585 - }, - { - "epoch": 4.55, - "learning_rate": 2.0661355111004032e-05, - "loss": 1.8518, - "step": 3590 - }, - { - "epoch": 4.56, - "learning_rate": 2.0087345246330713e-05, - "loss": 1.939, - "step": 3595 - }, - { - "epoch": 4.56, - "learning_rate": 1.9521258162798263e-05, - "loss": 1.8259, - "step": 3600 - }, - { - "epoch": 4.57, - "learning_rate": 1.8963103205824395e-05, - "loss": 1.9559, - "step": 3605 - }, - { - "epoch": 4.58, - "learning_rate": 1.8412889589876358e-05, - "loss": 1.8916, - "step": 3610 - }, - { - "epoch": 4.58, - "learning_rate": 1.787062639831988e-05, - "loss": 1.8576, - "step": 3615 - }, - { - "epoch": 4.59, - "learning_rate": 1.7336322583268336e-05, - "loss": 1.8634, - "step": 3620 - }, - { - "epoch": 4.59, - "learning_rate": 1.6809986965435677e-05, - "loss": 1.9129, - "step": 3625 - }, - { - "epoch": 4.6, - "learning_rate": 1.6291628233990387e-05, - "loss": 1.7839, - "step": 3630 - }, - { - "epoch": 4.61, - "learning_rate": 1.5781254946412028e-05, - "loss": 1.8129, - "step": 3635 - }, - { - "epoch": 4.61, - "learning_rate": 1.5278875528350277e-05, - "loss": 1.8645, - "step": 3640 - }, - { - "epoch": 4.62, - "learning_rate": 1.4784498273485436e-05, - "loss": 1.7878, - "step": 3645 - }, - { - "epoch": 4.63, - "learning_rate": 1.4298131343391918e-05, - "loss": 1.8806, - "step": 3650 - }, - { - "epoch": 4.63, - "learning_rate": 1.3819782767403033e-05, - "loss": 1.8544, - "step": 3655 - }, - { - "epoch": 4.64, - "learning_rate": 1.3349460442479089e-05, - "loss": 1.9462, - "step": 3660 - }, - { - "epoch": 4.65, - "learning_rate": 1.2887172133076219e-05, - "loss": 1.8129, - "step": 3665 - }, - { - "epoch": 4.65, - "learning_rate": 1.243292547101893e-05, - "loss": 1.8055, - "step": 3670 - }, - { - "epoch": 4.66, - "learning_rate": 1.1986727955373588e-05, - "loss": 1.8297, - "step": 3675 - }, - { - "epoch": 4.66, - "learning_rate": 1.1548586952324912e-05, - "loss": 1.7961, - "step": 3680 - }, - { - "epoch": 4.67, - "learning_rate": 1.1118509695054235e-05, - "loss": 1.9098, - "step": 3685 - }, - { - "epoch": 4.68, - "learning_rate": 1.0696503283620319e-05, - "loss": 1.7803, - "step": 3690 - }, - { - "epoch": 4.68, - "learning_rate": 1.0282574684841784e-05, - "loss": 1.9406, - "step": 3695 - }, - { - "epoch": 4.69, - "learning_rate": 9.876730732182203e-06, - "loss": 1.8219, - "step": 3700 - }, - { - "epoch": 4.7, - "learning_rate": 9.478978125637583e-06, - "loss": 1.9694, - "step": 3705 - }, - { - "epoch": 4.7, - "learning_rate": 9.089323431625273e-06, - "loss": 1.8647, - "step": 3710 - }, - { - "epoch": 4.71, - "learning_rate": 8.70777308287618e-06, - "loss": 1.8981, - "step": 3715 - }, - { - "epoch": 4.71, - "learning_rate": 8.334333378327785e-06, - "loss": 1.8218, - "step": 3720 - }, - { - "epoch": 4.72, - "learning_rate": 7.969010483020845e-06, - "loss": 1.8954, - "step": 3725 - }, - { - "epoch": 4.73, - "learning_rate": 7.611810427997412e-06, - "loss": 1.7638, - "step": 3730 - }, - { - "epoch": 4.73, - "learning_rate": 7.262739110200922e-06, - "loss": 1.7664, - "step": 3735 - }, - { - "epoch": 4.74, - "learning_rate": 6.921802292379376e-06, - "loss": 1.8825, - "step": 3740 - }, - { - "epoch": 4.75, - "learning_rate": 6.589005602989862e-06, - "loss": 1.7941, - "step": 3745 - }, - { - "epoch": 4.75, - "learning_rate": 6.264354536105799e-06, - "loss": 1.8809, - "step": 3750 - }, - { - "epoch": 4.76, - "learning_rate": 5.947854451326007e-06, - "loss": 1.7973, - "step": 3755 - }, - { - "epoch": 4.77, - "learning_rate": 5.639510573686613e-06, - "loss": 1.9447, - "step": 3760 - }, - { - "epoch": 4.77, - "learning_rate": 5.339327993574339e-06, - "loss": 1.8651, - "step": 3765 - }, - { - "epoch": 4.78, - "learning_rate": 5.047311666642851e-06, - "loss": 1.8057, - "step": 3770 - }, - { - "epoch": 4.78, - "learning_rate": 4.763466413730821e-06, - "loss": 1.8872, - "step": 3775 - }, - { - "epoch": 4.79, - "learning_rate": 4.4877969207821615e-06, - "loss": 1.7565, - "step": 3780 - }, - { - "epoch": 4.8, - "learning_rate": 4.2203077387688586e-06, - "loss": 1.9462, - "step": 3785 - }, - { - "epoch": 4.8, - "learning_rate": 3.961003283615816e-06, - "loss": 1.8327, - "step": 3790 - }, - { - "epoch": 4.81, - "learning_rate": 3.709887836128023e-06, - "loss": 1.8064, - "step": 3795 - }, - { - "epoch": 4.82, - "learning_rate": 3.4669655419196087e-06, - "loss": 1.8423, - "step": 3800 - }, - { - "epoch": 4.82, - "learning_rate": 3.232240411345788e-06, - "loss": 1.887, - "step": 3805 - }, - { - "epoch": 4.83, - "learning_rate": 3.0057163194363023e-06, - "loss": 1.7267, - "step": 3810 - }, - { - "epoch": 4.84, - "learning_rate": 2.7873970058316934e-06, - "loss": 1.8499, - "step": 3815 - }, - { - "epoch": 4.84, - "learning_rate": 2.5772860747214078e-06, - "loss": 1.8719, - "step": 3820 - }, - { - "epoch": 4.85, - "learning_rate": 2.3753869947843455e-06, - "loss": 1.8829, - "step": 3825 - }, - { - "epoch": 4.85, - "learning_rate": 2.1817030991317934e-06, - "loss": 1.8648, - "step": 3830 - }, - { - "epoch": 4.86, - "learning_rate": 1.9962375852519698e-06, - "loss": 1.8077, - "step": 3835 - }, - { - "epoch": 4.87, - "learning_rate": 1.8189935149576786e-06, - "loss": 1.7893, - "step": 3840 - }, - { - "epoch": 4.87, - "learning_rate": 1.6499738143354593e-06, - "loss": 1.8117, - "step": 3845 - }, - { - "epoch": 4.88, - "learning_rate": 1.4891812736974596e-06, - "loss": 1.8163, - "step": 3850 - }, - { - "epoch": 4.89, - "learning_rate": 1.3366185475351955e-06, - "loss": 1.8515, - "step": 3855 - }, - { - "epoch": 4.89, - "learning_rate": 1.192288154476029e-06, - "loss": 1.8055, - "step": 3860 - }, - { - "epoch": 4.9, - "learning_rate": 1.0561924772412024e-06, - "loss": 1.8637, - "step": 3865 - }, - { - "epoch": 4.9, - "learning_rate": 9.283337626068144e-07, - "loss": 1.8176, - "step": 3870 - }, - { - "epoch": 4.91, - "learning_rate": 8.087141213665717e-07, - "loss": 1.9019, - "step": 3875 - }, - { - "epoch": 4.92, - "learning_rate": 6.973355282969274e-07, - "loss": 1.8888, - "step": 3880 - }, - { - "epoch": 4.92, - "learning_rate": 5.941998221247191e-07, - "loss": 1.8405, - "step": 3885 - }, - { - "epoch": 4.93, - "learning_rate": 4.993087054963597e-07, - "loss": 1.8748, - "step": 3890 - }, - { - "epoch": 4.94, - "learning_rate": 4.1266374495024795e-07, - "loss": 1.7451, - "step": 3895 - }, - { - "epoch": 4.94, - "learning_rate": 3.342663708905125e-07, - "loss": 1.8469, - "step": 3900 - }, - { - "epoch": 4.95, - "learning_rate": 2.6411787756353e-07, - "loss": 1.9005, - "step": 3905 - }, - { - "epoch": 4.96, - "learning_rate": 2.0221942303666474e-07, - "loss": 1.8063, - "step": 3910 - }, - { - "epoch": 4.96, - "learning_rate": 1.4857202917900603e-07, - "loss": 1.8288, - "step": 3915 - }, - { - "epoch": 4.97, - "learning_rate": 1.0317658164454846e-07, - "loss": 1.8788, - "step": 3920 - }, - { - "epoch": 4.97, - "learning_rate": 6.603382985759243e-08, - "loss": 1.937, - "step": 3925 - }, - { - "epoch": 4.98, - "learning_rate": 3.714438700025413e-08, - "loss": 1.7552, - "step": 3930 - }, - { - "epoch": 4.99, - "learning_rate": 1.650873000258457e-08, - "loss": 1.803, - "step": 3935 - }, - { - "epoch": 4.99, - "learning_rate": 4.1271995344094316e-09, - "loss": 1.8769, - "step": 3940 - }, - { - "epoch": 5.0, - "learning_rate": 0.0, - "loss": 1.806, - "step": 3945 - }, - { - "epoch": 5.0, - "eval_loss": 2.0400655269622803, - "eval_runtime": 95.5556, - "eval_samples_per_second": 134.037, - "eval_steps_per_second": 16.755, - "step": 3945 - }, - { - "epoch": 5.0, - "step": 3945, - "total_flos": 1.3195381386195763e+17, - "train_loss": 2.171095475799986, - "train_runtime": 13808.1422, - "train_samples_per_second": 36.573, - "train_steps_per_second": 0.286 + "epoch": 4.0, + "step": 3156, + "total_flos": 1.0556101300007731e+17, + "train_loss": 1.8003431212237277, + "train_runtime": 10681.1524, + "train_samples_per_second": 37.823, + "train_steps_per_second": 0.295 } ], - "max_steps": 3945, - "num_train_epochs": 5, - "total_flos": 1.3195381386195763e+17, + "max_steps": 3156, + "num_train_epochs": 4, + "total_flos": 1.0556101300007731e+17, "trial_name": null, "trial_params": null }