{ "best_metric": 0.3037714958190918, "best_model_checkpoint": "./Mistral/17-03-24-Weni-ZeroShot-3.3.35-Mistral-7b-Multilanguage-3.3.0_ZeroShot SFT Training with its best hyperparameters-2_max_steps-2344_batch_16_2024-03-17_ppid_9/checkpoint-2200", "epoch": 1.875532821824382, "eval_steps": 50, "global_step": 2200, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.02, "grad_norm": 5.4808268547058105, "learning_rate": 1.623931623931624e-05, "loss": 1.7023, "step": 20 }, { "epoch": 0.03, "grad_norm": 2.232806444168091, "learning_rate": 3.3333333333333335e-05, "loss": 1.1297, "step": 40 }, { "epoch": 0.04, "eval_loss": 0.5450807809829712, "eval_runtime": 271.242, "eval_samples_per_second": 7.687, "eval_steps_per_second": 0.962, "step": 50 }, { "epoch": 0.05, "grad_norm": 0.8864539265632629, "learning_rate": 4.9572649572649575e-05, "loss": 0.5849, "step": 60 }, { "epoch": 0.07, "grad_norm": 0.8033413887023926, "learning_rate": 6.666666666666667e-05, "loss": 0.4593, "step": 80 }, { "epoch": 0.09, "grad_norm": 0.6578605771064758, "learning_rate": 8.376068376068377e-05, "loss": 0.4425, "step": 100 }, { "epoch": 0.09, "eval_loss": 0.42795854806900024, "eval_runtime": 271.0229, "eval_samples_per_second": 7.693, "eval_steps_per_second": 0.963, "step": 100 }, { "epoch": 0.1, "grad_norm": 0.5158710479736328, "learning_rate": 0.00010085470085470086, "loss": 0.4249, "step": 120 }, { "epoch": 0.12, "grad_norm": 0.4536530375480652, "learning_rate": 0.00011794871794871796, "loss": 0.4241, "step": 140 }, { "epoch": 0.13, "eval_loss": 0.4137832820415497, "eval_runtime": 271.1041, "eval_samples_per_second": 7.691, "eval_steps_per_second": 0.963, "step": 150 }, { "epoch": 0.14, "grad_norm": 0.3979959785938263, "learning_rate": 0.00013504273504273505, "loss": 0.4154, "step": 160 }, { "epoch": 0.15, "grad_norm": 0.4166259467601776, "learning_rate": 0.00015213675213675214, "loss": 0.4107, "step": 180 }, { "epoch": 0.17, "grad_norm": 0.40765708684921265, "learning_rate": 0.00016923076923076923, "loss": 0.4059, "step": 200 }, { "epoch": 0.17, "eval_loss": 0.40599754452705383, "eval_runtime": 271.1072, "eval_samples_per_second": 7.691, "eval_steps_per_second": 0.963, "step": 200 }, { "epoch": 0.19, "grad_norm": 0.39934784173965454, "learning_rate": 0.00018632478632478634, "loss": 0.3935, "step": 220 }, { "epoch": 0.2, "grad_norm": 0.39337554574012756, "learning_rate": 0.00019999822653125876, "loss": 0.4125, "step": 240 }, { "epoch": 0.21, "eval_loss": 0.4002617597579956, "eval_runtime": 271.1099, "eval_samples_per_second": 7.691, "eval_steps_per_second": 0.963, "step": 250 }, { "epoch": 0.22, "grad_norm": 0.4723268449306488, "learning_rate": 0.00019993616172996704, "loss": 0.4074, "step": 260 }, { "epoch": 0.24, "grad_norm": 0.4829658269882202, "learning_rate": 0.00019978548638541202, "loss": 0.3933, "step": 280 }, { "epoch": 0.26, "grad_norm": 0.7815160155296326, "learning_rate": 0.00019954633409712276, "loss": 0.3948, "step": 300 }, { "epoch": 0.26, "eval_loss": 0.3945770263671875, "eval_runtime": 271.0451, "eval_samples_per_second": 7.692, "eval_steps_per_second": 0.963, "step": 300 }, { "epoch": 0.27, "grad_norm": 0.4525783956050873, "learning_rate": 0.00019921891691460983, "loss": 0.3777, "step": 320 }, { "epoch": 0.29, "grad_norm": 0.3549365699291229, "learning_rate": 0.00019880352514934724, "loss": 0.3979, "step": 340 }, { "epoch": 0.3, "eval_loss": 0.3886016309261322, "eval_runtime": 271.0939, "eval_samples_per_second": 7.691, "eval_steps_per_second": 0.963, "step": 350 }, { "epoch": 0.31, "grad_norm": 0.38849011063575745, "learning_rate": 0.00019830052711736142, "loss": 0.3895, "step": 360 }, { "epoch": 0.32, "grad_norm": 0.4513374865055084, "learning_rate": 0.00019771036881265598, "loss": 0.3866, "step": 380 }, { "epoch": 0.34, "grad_norm": 0.4288094639778137, "learning_rate": 0.00019703357351176151, "loss": 0.3938, "step": 400 }, { "epoch": 0.34, "eval_loss": 0.38462838530540466, "eval_runtime": 271.1664, "eval_samples_per_second": 7.689, "eval_steps_per_second": 0.963, "step": 400 }, { "epoch": 0.36, "grad_norm": 0.3525382876396179, "learning_rate": 0.00019627074130976126, "loss": 0.3891, "step": 420 }, { "epoch": 0.38, "grad_norm": 0.5788955688476562, "learning_rate": 0.0001954225485882039, "loss": 0.3739, "step": 440 }, { "epoch": 0.38, "eval_loss": 0.3804500699043274, "eval_runtime": 271.0816, "eval_samples_per_second": 7.691, "eval_steps_per_second": 0.963, "step": 450 }, { "epoch": 0.39, "grad_norm": 0.47232553362846375, "learning_rate": 0.00019448974741537525, "loss": 0.371, "step": 460 }, { "epoch": 0.41, "grad_norm": 0.38733381032943726, "learning_rate": 0.0001934731648794609, "loss": 0.37, "step": 480 }, { "epoch": 0.43, "grad_norm": 0.42200860381126404, "learning_rate": 0.00019237370235519077, "loss": 0.3726, "step": 500 }, { "epoch": 0.43, "eval_loss": 0.3774518370628357, "eval_runtime": 271.1201, "eval_samples_per_second": 7.69, "eval_steps_per_second": 0.963, "step": 500 }, { "epoch": 0.44, "grad_norm": 0.5560094118118286, "learning_rate": 0.00019119233470461558, "loss": 0.3754, "step": 520 }, { "epoch": 0.46, "grad_norm": 0.3813556134700775, "learning_rate": 0.00018993010941272478, "loss": 0.363, "step": 540 }, { "epoch": 0.47, "eval_loss": 0.37297067046165466, "eval_runtime": 271.0879, "eval_samples_per_second": 7.691, "eval_steps_per_second": 0.963, "step": 550 }, { "epoch": 0.48, "grad_norm": 0.5384305715560913, "learning_rate": 0.0001885881456586713, "loss": 0.3656, "step": 560 }, { "epoch": 0.49, "grad_norm": 0.4100024700164795, "learning_rate": 0.0001871676333234274, "loss": 0.3668, "step": 580 }, { "epoch": 0.51, "grad_norm": 0.4203307628631592, "learning_rate": 0.0001856698319347513, "loss": 0.3718, "step": 600 }, { "epoch": 0.51, "eval_loss": 0.3698495626449585, "eval_runtime": 271.0857, "eval_samples_per_second": 7.691, "eval_steps_per_second": 0.963, "step": 600 }, { "epoch": 0.53, "grad_norm": 0.5422376990318298, "learning_rate": 0.0001840960695503995, "loss": 0.3813, "step": 620 }, { "epoch": 0.55, "grad_norm": 0.41980084776878357, "learning_rate": 0.00018244774158057624, "loss": 0.3711, "step": 640 }, { "epoch": 0.55, "eval_loss": 0.3666984438896179, "eval_runtime": 271.059, "eval_samples_per_second": 7.692, "eval_steps_per_second": 0.963, "step": 650 }, { "epoch": 0.56, "grad_norm": 0.49988237023353577, "learning_rate": 0.00018072630955066288, "loss": 0.3669, "step": 660 }, { "epoch": 0.58, "grad_norm": 0.4338107407093048, "learning_rate": 0.00017893329980532498, "loss": 0.3709, "step": 680 }, { "epoch": 0.6, "grad_norm": 0.46425387263298035, "learning_rate": 0.0001770703021551463, "loss": 0.3665, "step": 700 }, { "epoch": 0.6, "eval_loss": 0.36363786458969116, "eval_runtime": 271.1155, "eval_samples_per_second": 7.69, "eval_steps_per_second": 0.963, "step": 700 }, { "epoch": 0.61, "grad_norm": 0.5348316431045532, "learning_rate": 0.00017513896846698882, "loss": 0.3574, "step": 720 }, { "epoch": 0.63, "grad_norm": 0.4046632945537567, "learning_rate": 0.00017314101119932974, "loss": 0.3625, "step": 740 }, { "epoch": 0.64, "eval_loss": 0.3617616891860962, "eval_runtime": 271.137, "eval_samples_per_second": 7.69, "eval_steps_per_second": 0.963, "step": 750 }, { "epoch": 0.65, "grad_norm": 0.44371724128723145, "learning_rate": 0.00017107820188387327, "loss": 0.3752, "step": 760 }, { "epoch": 0.66, "grad_norm": 0.4216190576553345, "learning_rate": 0.00016895236955478412, "loss": 0.3606, "step": 780 }, { "epoch": 0.68, "grad_norm": 0.5870906114578247, "learning_rate": 0.00016676539912693501, "loss": 0.3756, "step": 800 }, { "epoch": 0.68, "eval_loss": 0.3583546280860901, "eval_runtime": 271.1679, "eval_samples_per_second": 7.689, "eval_steps_per_second": 0.963, "step": 800 }, { "epoch": 0.7, "grad_norm": 0.4018837511539459, "learning_rate": 0.00016451922972460643, "loss": 0.358, "step": 820 }, { "epoch": 0.72, "grad_norm": 0.4688343107700348, "learning_rate": 0.00016221585296212054, "loss": 0.3493, "step": 840 }, { "epoch": 0.72, "eval_loss": 0.35402199625968933, "eval_runtime": 271.1165, "eval_samples_per_second": 7.69, "eval_steps_per_second": 0.963, "step": 850 }, { "epoch": 0.73, "grad_norm": 0.4941730797290802, "learning_rate": 0.00015985731117793353, "loss": 0.3502, "step": 860 }, { "epoch": 0.75, "grad_norm": 0.4220365583896637, "learning_rate": 0.00015744569562375235, "loss": 0.3478, "step": 880 }, { "epoch": 0.77, "grad_norm": 0.4305894374847412, "learning_rate": 0.00015498314461028157, "loss": 0.3585, "step": 900 }, { "epoch": 0.77, "eval_loss": 0.3510061800479889, "eval_runtime": 271.1908, "eval_samples_per_second": 7.688, "eval_steps_per_second": 0.962, "step": 900 }, { "epoch": 0.78, "grad_norm": 0.45022985339164734, "learning_rate": 0.00015247184161124415, "loss": 0.3558, "step": 920 }, { "epoch": 0.8, "grad_norm": 0.4498714506626129, "learning_rate": 0.00014991401332735781, "loss": 0.3466, "step": 940 }, { "epoch": 0.81, "eval_loss": 0.34707528352737427, "eval_runtime": 271.0841, "eval_samples_per_second": 7.691, "eval_steps_per_second": 0.963, "step": 950 }, { "epoch": 0.82, "grad_norm": 0.49369582533836365, "learning_rate": 0.00014731192771198282, "loss": 0.3463, "step": 960 }, { "epoch": 0.84, "grad_norm": 0.36855530738830566, "learning_rate": 0.00014466789196019257, "loss": 0.3428, "step": 980 }, { "epoch": 0.85, "grad_norm": 0.501837968826294, "learning_rate": 0.00014198425046304942, "loss": 0.3483, "step": 1000 }, { "epoch": 0.85, "eval_loss": 0.34373167157173157, "eval_runtime": 271.0714, "eval_samples_per_second": 7.692, "eval_steps_per_second": 0.963, "step": 1000 }, { "epoch": 0.87, "grad_norm": 0.35614344477653503, "learning_rate": 0.00013926338272890026, "loss": 0.3322, "step": 1020 }, { "epoch": 0.89, "grad_norm": 0.5366308689117432, "learning_rate": 0.00013650770127353416, "loss": 0.343, "step": 1040 }, { "epoch": 0.9, "eval_loss": 0.3401084542274475, "eval_runtime": 271.1104, "eval_samples_per_second": 7.691, "eval_steps_per_second": 0.963, "step": 1050 }, { "epoch": 0.9, "grad_norm": 0.46004125475883484, "learning_rate": 0.00013371964948107344, "loss": 0.3417, "step": 1060 }, { "epoch": 0.92, "grad_norm": 0.5817845463752747, "learning_rate": 0.00013090169943749476, "loss": 0.332, "step": 1080 }, { "epoch": 0.94, "grad_norm": 0.9298326969146729, "learning_rate": 0.00012805634973870103, "loss": 0.3373, "step": 1100 }, { "epoch": 0.94, "eval_loss": 0.3367879390716553, "eval_runtime": 271.219, "eval_samples_per_second": 7.688, "eval_steps_per_second": 0.962, "step": 1100 }, { "epoch": 0.95, "grad_norm": 0.5731242299079895, "learning_rate": 0.00012518612327508773, "loss": 0.3443, "step": 1120 }, { "epoch": 0.97, "grad_norm": 0.6886520981788635, "learning_rate": 0.00012229356499456783, "loss": 0.3388, "step": 1140 }, { "epoch": 0.98, "eval_loss": 0.3337441086769104, "eval_runtime": 271.0416, "eval_samples_per_second": 7.693, "eval_steps_per_second": 0.963, "step": 1150 }, { "epoch": 0.99, "grad_norm": 0.5007095336914062, "learning_rate": 0.00011938123964603922, "loss": 0.3375, "step": 1160 }, { "epoch": 1.01, "grad_norm": 0.49403801560401917, "learning_rate": 0.00011645172950529504, "loss": 0.3091, "step": 1180 }, { "epoch": 1.02, "grad_norm": 0.36014652252197266, "learning_rate": 0.00011350763208539337, "loss": 0.256, "step": 1200 }, { "epoch": 1.02, "eval_loss": 0.33549007773399353, "eval_runtime": 271.1529, "eval_samples_per_second": 7.689, "eval_steps_per_second": 0.963, "step": 1200 }, { "epoch": 1.04, "grad_norm": 0.4871821403503418, "learning_rate": 0.0001105515578335165, "loss": 0.2534, "step": 1220 }, { "epoch": 1.06, "grad_norm": 0.4773302376270294, "learning_rate": 0.00010758612781636189, "loss": 0.2485, "step": 1240 }, { "epoch": 1.07, "eval_loss": 0.3336337208747864, "eval_runtime": 270.9871, "eval_samples_per_second": 7.694, "eval_steps_per_second": 0.963, "step": 1250 }, { "epoch": 1.07, "grad_norm": 0.4584294259548187, "learning_rate": 0.00010461397139611717, "loss": 0.2621, "step": 1260 }, { "epoch": 1.09, "grad_norm": 0.45226892828941345, "learning_rate": 0.00010163772389907971, "loss": 0.244, "step": 1280 }, { "epoch": 1.11, "grad_norm": 0.5343567728996277, "learning_rate": 9.86600242789879e-05, "loss": 0.2452, "step": 1300 }, { "epoch": 1.11, "eval_loss": 0.33007845282554626, "eval_runtime": 271.0147, "eval_samples_per_second": 7.693, "eval_steps_per_second": 0.963, "step": 1300 }, { "epoch": 1.13, "grad_norm": 0.4986325800418854, "learning_rate": 9.568351277713618e-05, "loss": 0.2525, "step": 1320 }, { "epoch": 1.14, "grad_norm": 0.4909712076187134, "learning_rate": 9.271082858134854e-05, "loss": 0.2573, "step": 1340 }, { "epoch": 1.15, "eval_loss": 0.3278447985649109, "eval_runtime": 271.052, "eval_samples_per_second": 7.692, "eval_steps_per_second": 0.963, "step": 1350 }, { "epoch": 1.16, "grad_norm": 0.4675891697406769, "learning_rate": 8.974460748588577e-05, "loss": 0.2516, "step": 1360 }, { "epoch": 1.18, "grad_norm": 0.5919708013534546, "learning_rate": 8.678747955436209e-05, "loss": 0.2459, "step": 1380 }, { "epoch": 1.19, "grad_norm": 0.5164061784744263, "learning_rate": 8.384206678774267e-05, "loss": 0.245, "step": 1400 }, { "epoch": 1.19, "eval_loss": 0.3246319591999054, "eval_runtime": 270.8895, "eval_samples_per_second": 7.697, "eval_steps_per_second": 0.963, "step": 1400 }, { "epoch": 1.21, "grad_norm": 0.5498049855232239, "learning_rate": 8.091098079949022e-05, "loss": 0.244, "step": 1420 }, { "epoch": 1.23, "grad_norm": 0.40771761536598206, "learning_rate": 7.79968204999218e-05, "loss": 0.2446, "step": 1440 }, { "epoch": 1.24, "eval_loss": 0.32402417063713074, "eval_runtime": 270.9055, "eval_samples_per_second": 7.696, "eval_steps_per_second": 0.963, "step": 1450 }, { "epoch": 1.24, "grad_norm": 0.4820304811000824, "learning_rate": 7.510216979182932e-05, "loss": 0.2485, "step": 1460 }, { "epoch": 1.26, "grad_norm": 0.40890711545944214, "learning_rate": 7.222959527940643e-05, "loss": 0.2426, "step": 1480 }, { "epoch": 1.28, "grad_norm": 0.4243795573711395, "learning_rate": 6.93816439925141e-05, "loss": 0.2416, "step": 1500 }, { "epoch": 1.28, "eval_loss": 0.32116860151290894, "eval_runtime": 270.8886, "eval_samples_per_second": 7.697, "eval_steps_per_second": 0.963, "step": 1500 }, { "epoch": 1.3, "grad_norm": 0.5360056161880493, "learning_rate": 6.656084112830165e-05, "loss": 0.2454, "step": 1520 }, { "epoch": 1.31, "grad_norm": 0.5155255198478699, "learning_rate": 6.376968781218665e-05, "loss": 0.2432, "step": 1540 }, { "epoch": 1.32, "eval_loss": 0.32005202770233154, "eval_runtime": 271.08, "eval_samples_per_second": 7.691, "eval_steps_per_second": 0.963, "step": 1550 }, { "epoch": 1.33, "grad_norm": 0.564046323299408, "learning_rate": 6.101065888017833e-05, "loss": 0.2414, "step": 1560 }, { "epoch": 1.35, "grad_norm": 0.45059406757354736, "learning_rate": 5.828620068451111e-05, "loss": 0.2408, "step": 1580 }, { "epoch": 1.36, "grad_norm": 0.5122149586677551, "learning_rate": 5.559872892453375e-05, "loss": 0.242, "step": 1600 }, { "epoch": 1.36, "eval_loss": 0.316841185092926, "eval_runtime": 271.0293, "eval_samples_per_second": 7.693, "eval_steps_per_second": 0.963, "step": 1600 }, { "epoch": 1.38, "grad_norm": 0.48864319920539856, "learning_rate": 5.29506265047779e-05, "loss": 0.2432, "step": 1620 }, { "epoch": 1.4, "grad_norm": 0.603583812713623, "learning_rate": 5.034424142210443e-05, "loss": 0.231, "step": 1640 }, { "epoch": 1.41, "eval_loss": 0.3156278729438782, "eval_runtime": 271.0109, "eval_samples_per_second": 7.693, "eval_steps_per_second": 0.963, "step": 1650 }, { "epoch": 1.42, "grad_norm": 0.5807139873504639, "learning_rate": 4.778188468380169e-05, "loss": 0.2425, "step": 1660 }, { "epoch": 1.43, "grad_norm": 0.4968738555908203, "learning_rate": 4.526582825848131e-05, "loss": 0.2362, "step": 1680 }, { "epoch": 1.45, "grad_norm": 0.6385018825531006, "learning_rate": 4.2798303061588404e-05, "loss": 0.2369, "step": 1700 }, { "epoch": 1.45, "eval_loss": 0.3140126168727875, "eval_runtime": 270.9649, "eval_samples_per_second": 7.695, "eval_steps_per_second": 0.963, "step": 1700 }, { "epoch": 1.47, "grad_norm": 0.5020663738250732, "learning_rate": 4.038149697731247e-05, "loss": 0.2425, "step": 1720 }, { "epoch": 1.48, "grad_norm": 0.5276768207550049, "learning_rate": 3.801755291865307e-05, "loss": 0.2405, "step": 1740 }, { "epoch": 1.49, "eval_loss": 0.3110227882862091, "eval_runtime": 270.8888, "eval_samples_per_second": 7.697, "eval_steps_per_second": 0.963, "step": 1750 }, { "epoch": 1.5, "grad_norm": 0.5092354416847229, "learning_rate": 3.570856692735976e-05, "loss": 0.2356, "step": 1760 }, { "epoch": 1.52, "grad_norm": 0.4134100079536438, "learning_rate": 3.3456586315431874e-05, "loss": 0.2397, "step": 1780 }, { "epoch": 1.53, "grad_norm": 0.41335973143577576, "learning_rate": 3.126360784982532e-05, "loss": 0.2263, "step": 1800 }, { "epoch": 1.53, "eval_loss": 0.309181272983551, "eval_runtime": 270.9592, "eval_samples_per_second": 7.695, "eval_steps_per_second": 0.963, "step": 1800 }, { "epoch": 1.55, "grad_norm": 0.6216692924499512, "learning_rate": 2.9131575981976245e-05, "loss": 0.2371, "step": 1820 }, { "epoch": 1.57, "grad_norm": 0.6529776453971863, "learning_rate": 2.7062381123711532e-05, "loss": 0.2324, "step": 1840 }, { "epoch": 1.58, "eval_loss": 0.3087258040904999, "eval_runtime": 270.9376, "eval_samples_per_second": 7.695, "eval_steps_per_second": 0.963, "step": 1850 }, { "epoch": 1.59, "grad_norm": 0.41469648480415344, "learning_rate": 2.505785797107446e-05, "loss": 0.2148, "step": 1860 }, { "epoch": 1.6, "grad_norm": 0.5092002749443054, "learning_rate": 2.3119783877552126e-05, "loss": 0.2287, "step": 1880 }, { "epoch": 1.62, "grad_norm": 0.6236806511878967, "learning_rate": 2.1249877278146868e-05, "loss": 0.2203, "step": 1900 }, { "epoch": 1.62, "eval_loss": 0.30838343501091003, "eval_runtime": 270.9479, "eval_samples_per_second": 7.695, "eval_steps_per_second": 0.963, "step": 1900 }, { "epoch": 1.64, "grad_norm": 0.5142087936401367, "learning_rate": 1.944979616568885e-05, "loss": 0.2287, "step": 1920 }, { "epoch": 1.65, "grad_norm": 0.5550097227096558, "learning_rate": 1.7721136620741218e-05, "loss": 0.223, "step": 1940 }, { "epoch": 1.66, "eval_loss": 0.30595675110816956, "eval_runtime": 271.0761, "eval_samples_per_second": 7.692, "eval_steps_per_second": 0.963, "step": 1950 }, { "epoch": 1.67, "grad_norm": 0.5284961462020874, "learning_rate": 1.6065431396400986e-05, "loss": 0.2268, "step": 1960 }, { "epoch": 1.69, "grad_norm": 0.7719703912734985, "learning_rate": 1.4484148559250588e-05, "loss": 0.2406, "step": 1980 }, { "epoch": 1.71, "grad_norm": 0.5748826861381531, "learning_rate": 1.2978690187665133e-05, "loss": 0.2218, "step": 2000 }, { "epoch": 1.71, "eval_loss": 0.3054625391960144, "eval_runtime": 271.0494, "eval_samples_per_second": 7.692, "eval_steps_per_second": 0.963, "step": 2000 }, { "epoch": 1.72, "grad_norm": 0.4736625850200653, "learning_rate": 1.1550391128629501e-05, "loss": 0.2362, "step": 2020 }, { "epoch": 1.74, "grad_norm": 0.6235111951828003, "learning_rate": 1.0200517814167632e-05, "loss": 0.2278, "step": 2040 }, { "epoch": 1.75, "eval_loss": 0.30488070845603943, "eval_runtime": 271.0127, "eval_samples_per_second": 7.693, "eval_steps_per_second": 0.963, "step": 2050 }, { "epoch": 1.76, "grad_norm": 0.5903782248497009, "learning_rate": 8.930267138433335e-06, "loss": 0.2315, "step": 2060 }, { "epoch": 1.77, "grad_norm": 0.5188658833503723, "learning_rate": 7.740765396458482e-06, "loss": 0.2366, "step": 2080 }, { "epoch": 1.79, "grad_norm": 0.6277506351470947, "learning_rate": 6.633067285499228e-06, "loss": 0.2229, "step": 2100 }, { "epoch": 1.79, "eval_loss": 0.30428797006607056, "eval_runtime": 270.9982, "eval_samples_per_second": 7.694, "eval_steps_per_second": 0.963, "step": 2100 }, { "epoch": 1.81, "grad_norm": 0.5176372528076172, "learning_rate": 5.6081549698661305e-06, "loss": 0.2277, "step": 2120 }, { "epoch": 1.82, "grad_norm": 0.5887135863304138, "learning_rate": 4.666937210067012e-06, "loss": 0.2189, "step": 2140 }, { "epoch": 1.83, "eval_loss": 0.3041435480117798, "eval_runtime": 270.8969, "eval_samples_per_second": 7.697, "eval_steps_per_second": 0.963, "step": 2150 }, { "epoch": 1.84, "grad_norm": 0.5156753063201904, "learning_rate": 3.8102485570350123e-06, "loss": 0.2281, "step": 2160 }, { "epoch": 1.86, "grad_norm": 0.5229103565216064, "learning_rate": 3.0388486121560313e-06, "loss": 0.2238, "step": 2180 }, { "epoch": 1.88, "grad_norm": 0.6205452084541321, "learning_rate": 2.3534213537518832e-06, "loss": 0.23, "step": 2200 }, { "epoch": 1.88, "eval_loss": 0.3037714958190918, "eval_runtime": 270.8992, "eval_samples_per_second": 7.697, "eval_steps_per_second": 0.963, "step": 2200 } ], "logging_steps": 20, "max_steps": 2344, "num_input_tokens_seen": 0, "num_train_epochs": 2, "save_steps": 100, "total_flos": 1.1501065692171633e+18, "train_batch_size": 8, "trial_name": null, "trial_params": null }