| { | |
| "best_global_step": 3000, | |
| "best_metric": 3.587533058962724, | |
| "best_model_checkpoint": "checkpoints/gpt-2_seq1024_mla0-0-0/checkpoint-3000", | |
| "epoch": 0.9042272624519629, | |
| "eval_steps": 300, | |
| "global_step": 3000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.006028181749679753, | |
| "grad_norm": 2.0441031455993652, | |
| "learning_rate": 3.166666666666667e-05, | |
| "loss": 10.3921, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.012056363499359506, | |
| "grad_norm": 1.7166392803192139, | |
| "learning_rate": 6.500000000000001e-05, | |
| "loss": 9.241, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.01808454524903926, | |
| "grad_norm": 0.7614754438400269, | |
| "learning_rate": 9.833333333333333e-05, | |
| "loss": 8.2219, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.02411272699871901, | |
| "grad_norm": 0.46116286516189575, | |
| "learning_rate": 0.00013166666666666665, | |
| "loss": 7.5368, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.030140908748398764, | |
| "grad_norm": 1.6069883108139038, | |
| "learning_rate": 0.000165, | |
| "loss": 7.21, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.03616909049807852, | |
| "grad_norm": 1.2077178955078125, | |
| "learning_rate": 0.00019833333333333335, | |
| "loss": 6.8976, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.04219727224775827, | |
| "grad_norm": 0.642643928527832, | |
| "learning_rate": 0.00023166666666666667, | |
| "loss": 6.641, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.04822545399743802, | |
| "grad_norm": 0.7632517218589783, | |
| "learning_rate": 0.00026500000000000004, | |
| "loss": 6.4194, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.05425363574711778, | |
| "grad_norm": 1.2542935609817505, | |
| "learning_rate": 0.00029833333333333334, | |
| "loss": 6.2428, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.06028181749679753, | |
| "grad_norm": 1.1738799810409546, | |
| "learning_rate": 0.0003316666666666667, | |
| "loss": 6.1026, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.06630999924647728, | |
| "grad_norm": 0.46843603253364563, | |
| "learning_rate": 0.000365, | |
| "loss": 5.9586, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.07233818099615703, | |
| "grad_norm": 0.3949953019618988, | |
| "learning_rate": 0.00039833333333333333, | |
| "loss": 5.8304, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.07836636274583679, | |
| "grad_norm": 1.0866719484329224, | |
| "learning_rate": 0.0004316666666666667, | |
| "loss": 5.7185, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.08439454449551655, | |
| "grad_norm": 0.34839189052581787, | |
| "learning_rate": 0.000465, | |
| "loss": 5.6037, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.09042272624519629, | |
| "grad_norm": 0.5791395902633667, | |
| "learning_rate": 0.0004983333333333334, | |
| "loss": 5.5003, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.09042272624519629, | |
| "eval_loss": 5.428642945231348, | |
| "eval_perplexity": 227.839844387096, | |
| "eval_runtime": 113.1707, | |
| "eval_samples_per_second": 14.659, | |
| "eval_steps_per_second": 0.23, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.09645090799487605, | |
| "grad_norm": 0.532134473323822, | |
| "learning_rate": 0.0004964814814814814, | |
| "loss": 5.3805, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.1024790897445558, | |
| "grad_norm": 0.5876124501228333, | |
| "learning_rate": 0.0004927777777777777, | |
| "loss": 5.2775, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.10850727149423556, | |
| "grad_norm": 0.4140375256538391, | |
| "learning_rate": 0.0004890740740740741, | |
| "loss": 5.193, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.1145354532439153, | |
| "grad_norm": 0.5529780387878418, | |
| "learning_rate": 0.0004853703703703704, | |
| "loss": 5.0912, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.12056363499359506, | |
| "grad_norm": 0.3331276774406433, | |
| "learning_rate": 0.0004816666666666667, | |
| "loss": 5.0266, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.1265918167432748, | |
| "grad_norm": 0.6916081309318542, | |
| "learning_rate": 0.00047796296296296297, | |
| "loss": 4.9375, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.13261999849295456, | |
| "grad_norm": 0.31799590587615967, | |
| "learning_rate": 0.0004742592592592593, | |
| "loss": 4.9026, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.1386481802426343, | |
| "grad_norm": 0.5735257267951965, | |
| "learning_rate": 0.00047055555555555555, | |
| "loss": 4.8075, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.14467636199231407, | |
| "grad_norm": 0.5078163146972656, | |
| "learning_rate": 0.00046685185185185187, | |
| "loss": 4.759, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.15070454374199382, | |
| "grad_norm": 0.3884360194206238, | |
| "learning_rate": 0.00046314814814814813, | |
| "loss": 4.6706, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.15673272549167358, | |
| "grad_norm": 0.5591968297958374, | |
| "learning_rate": 0.00045944444444444445, | |
| "loss": 4.627, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.16276090724135334, | |
| "grad_norm": 0.29390859603881836, | |
| "learning_rate": 0.0004557407407407407, | |
| "loss": 4.5691, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 0.1687890889910331, | |
| "grad_norm": 0.3524036407470703, | |
| "learning_rate": 0.00045203703703703703, | |
| "loss": 4.5066, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 0.17481727074071282, | |
| "grad_norm": 0.4607946574687958, | |
| "learning_rate": 0.0004483333333333333, | |
| "loss": 4.4661, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 0.18084545249039258, | |
| "grad_norm": 0.2523379623889923, | |
| "learning_rate": 0.00044462962962962967, | |
| "loss": 4.4331, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.18084545249039258, | |
| "eval_loss": 4.357323692651888, | |
| "eval_perplexity": 78.04797429242741, | |
| "eval_runtime": 112.5783, | |
| "eval_samples_per_second": 14.736, | |
| "eval_steps_per_second": 0.231, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.18687363424007233, | |
| "grad_norm": 0.3953287601470947, | |
| "learning_rate": 0.00044092592592592594, | |
| "loss": 4.3877, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 0.1929018159897521, | |
| "grad_norm": 0.38012024760246277, | |
| "learning_rate": 0.00043722222222222225, | |
| "loss": 4.3619, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 0.19892999773943185, | |
| "grad_norm": 0.3135126233100891, | |
| "learning_rate": 0.0004335185185185185, | |
| "loss": 4.3442, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 0.2049581794891116, | |
| "grad_norm": 0.49422895908355713, | |
| "learning_rate": 0.00042981481481481484, | |
| "loss": 4.3045, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 0.21098636123879136, | |
| "grad_norm": 0.27019643783569336, | |
| "learning_rate": 0.0004261111111111111, | |
| "loss": 4.2808, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.21701454298847112, | |
| "grad_norm": 0.3935423791408539, | |
| "learning_rate": 0.0004224074074074074, | |
| "loss": 4.2467, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 0.22304272473815084, | |
| "grad_norm": 0.28830042481422424, | |
| "learning_rate": 0.0004187037037037037, | |
| "loss": 4.2274, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 0.2290709064878306, | |
| "grad_norm": 0.2877708673477173, | |
| "learning_rate": 0.000415, | |
| "loss": 4.2075, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 0.23509908823751036, | |
| "grad_norm": 0.3449930250644684, | |
| "learning_rate": 0.00041129629629629627, | |
| "loss": 4.1909, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 0.2411272699871901, | |
| "grad_norm": 0.326265424489975, | |
| "learning_rate": 0.00040759259259259264, | |
| "loss": 4.1684, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.24715545173686987, | |
| "grad_norm": 0.3821180760860443, | |
| "learning_rate": 0.0004038888888888889, | |
| "loss": 4.1513, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 0.2531836334865496, | |
| "grad_norm": 0.2768200635910034, | |
| "learning_rate": 0.0004001851851851852, | |
| "loss": 4.1317, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 0.2592118152362294, | |
| "grad_norm": 0.29724735021591187, | |
| "learning_rate": 0.0003964814814814815, | |
| "loss": 4.1171, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 0.2652399969859091, | |
| "grad_norm": 0.2814749479293823, | |
| "learning_rate": 0.0003927777777777778, | |
| "loss": 4.1049, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 0.2712681787355889, | |
| "grad_norm": 0.26310989260673523, | |
| "learning_rate": 0.00038907407407407407, | |
| "loss": 4.0858, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.2712681787355889, | |
| "eval_loss": 4.030442206068737, | |
| "eval_perplexity": 56.285795665128816, | |
| "eval_runtime": 112.6912, | |
| "eval_samples_per_second": 14.722, | |
| "eval_steps_per_second": 0.231, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.2772963604852686, | |
| "grad_norm": 0.3063352108001709, | |
| "learning_rate": 0.0003853703703703704, | |
| "loss": 4.0813, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 0.2833245422349484, | |
| "grad_norm": 0.4063352346420288, | |
| "learning_rate": 0.00038166666666666666, | |
| "loss": 4.0647, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 0.28935272398462814, | |
| "grad_norm": 0.2601182758808136, | |
| "learning_rate": 0.000377962962962963, | |
| "loss": 4.0447, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 0.29538090573430786, | |
| "grad_norm": 0.3153649568557739, | |
| "learning_rate": 0.00037425925925925924, | |
| "loss": 4.0417, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 0.30140908748398765, | |
| "grad_norm": 0.26004716753959656, | |
| "learning_rate": 0.0003705555555555556, | |
| "loss": 4.0279, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.3074372692336674, | |
| "grad_norm": 0.43524181842803955, | |
| "learning_rate": 0.0003668518518518519, | |
| "loss": 4.0152, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 0.31346545098334716, | |
| "grad_norm": 0.2601913511753082, | |
| "learning_rate": 0.0003631481481481482, | |
| "loss": 4.0026, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 0.3194936327330269, | |
| "grad_norm": 0.25712424516677856, | |
| "learning_rate": 0.00035944444444444446, | |
| "loss": 3.9933, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 0.3255218144827067, | |
| "grad_norm": 0.3313097357749939, | |
| "learning_rate": 0.0003557407407407408, | |
| "loss": 3.9842, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 0.3315499962323864, | |
| "grad_norm": 0.238124281167984, | |
| "learning_rate": 0.00035203703703703704, | |
| "loss": 3.9745, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.3375781779820662, | |
| "grad_norm": 0.28039032220840454, | |
| "learning_rate": 0.00034833333333333336, | |
| "loss": 3.9588, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 0.3436063597317459, | |
| "grad_norm": 0.3661600649356842, | |
| "learning_rate": 0.0003446296296296296, | |
| "loss": 3.9532, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 0.34963454148142564, | |
| "grad_norm": 0.22854666411876678, | |
| "learning_rate": 0.0003409259259259259, | |
| "loss": 3.9392, | |
| "step": 1160 | |
| }, | |
| { | |
| "epoch": 0.3556627232311054, | |
| "grad_norm": 0.2930833697319031, | |
| "learning_rate": 0.0003372222222222222, | |
| "loss": 3.9312, | |
| "step": 1180 | |
| }, | |
| { | |
| "epoch": 0.36169090498078516, | |
| "grad_norm": 0.25500425696372986, | |
| "learning_rate": 0.0003335185185185185, | |
| "loss": 3.9295, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.36169090498078516, | |
| "eval_loss": 3.874079793811062, | |
| "eval_perplexity": 48.13838066773452, | |
| "eval_runtime": 112.5895, | |
| "eval_samples_per_second": 14.735, | |
| "eval_steps_per_second": 0.231, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.36771908673046494, | |
| "grad_norm": 0.27924397587776184, | |
| "learning_rate": 0.00032981481481481485, | |
| "loss": 3.9157, | |
| "step": 1220 | |
| }, | |
| { | |
| "epoch": 0.37374726848014467, | |
| "grad_norm": 0.2649654448032379, | |
| "learning_rate": 0.0003261111111111111, | |
| "loss": 3.9136, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 0.37977545022982445, | |
| "grad_norm": 0.27920904755592346, | |
| "learning_rate": 0.00032240740740740743, | |
| "loss": 3.899, | |
| "step": 1260 | |
| }, | |
| { | |
| "epoch": 0.3858036319795042, | |
| "grad_norm": 0.238219752907753, | |
| "learning_rate": 0.0003187037037037037, | |
| "loss": 3.8965, | |
| "step": 1280 | |
| }, | |
| { | |
| "epoch": 0.3918318137291839, | |
| "grad_norm": 0.2615567743778229, | |
| "learning_rate": 0.000315, | |
| "loss": 3.8877, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.3978599954788637, | |
| "grad_norm": 0.266513466835022, | |
| "learning_rate": 0.0003112962962962963, | |
| "loss": 3.8806, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 0.4038881772285434, | |
| "grad_norm": 0.3212108314037323, | |
| "learning_rate": 0.0003075925925925926, | |
| "loss": 3.8774, | |
| "step": 1340 | |
| }, | |
| { | |
| "epoch": 0.4099163589782232, | |
| "grad_norm": 0.231920063495636, | |
| "learning_rate": 0.00030388888888888886, | |
| "loss": 3.8707, | |
| "step": 1360 | |
| }, | |
| { | |
| "epoch": 0.41594454072790293, | |
| "grad_norm": 0.27022039890289307, | |
| "learning_rate": 0.0003001851851851852, | |
| "loss": 3.863, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 0.4219727224775827, | |
| "grad_norm": 0.243785560131073, | |
| "learning_rate": 0.00029648148148148144, | |
| "loss": 3.8562, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.42800090422726245, | |
| "grad_norm": 0.2512820065021515, | |
| "learning_rate": 0.0002927777777777778, | |
| "loss": 3.8541, | |
| "step": 1420 | |
| }, | |
| { | |
| "epoch": 0.43402908597694223, | |
| "grad_norm": 0.25888124108314514, | |
| "learning_rate": 0.0002890740740740741, | |
| "loss": 3.8421, | |
| "step": 1440 | |
| }, | |
| { | |
| "epoch": 0.44005726772662196, | |
| "grad_norm": 0.29554685950279236, | |
| "learning_rate": 0.0002853703703703704, | |
| "loss": 3.8468, | |
| "step": 1460 | |
| }, | |
| { | |
| "epoch": 0.4460854494763017, | |
| "grad_norm": 0.2608514130115509, | |
| "learning_rate": 0.00028166666666666666, | |
| "loss": 3.837, | |
| "step": 1480 | |
| }, | |
| { | |
| "epoch": 0.45211363122598147, | |
| "grad_norm": 0.2781771123409271, | |
| "learning_rate": 0.000277962962962963, | |
| "loss": 3.8327, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.45211363122598147, | |
| "eval_loss": 3.776173532413324, | |
| "eval_perplexity": 43.6487014373908, | |
| "eval_runtime": 112.7037, | |
| "eval_samples_per_second": 14.72, | |
| "eval_steps_per_second": 0.231, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.4581418129756612, | |
| "grad_norm": 0.27767959237098694, | |
| "learning_rate": 0.00027425925925925925, | |
| "loss": 3.8264, | |
| "step": 1520 | |
| }, | |
| { | |
| "epoch": 0.464169994725341, | |
| "grad_norm": 0.24143943190574646, | |
| "learning_rate": 0.00027055555555555557, | |
| "loss": 3.8224, | |
| "step": 1540 | |
| }, | |
| { | |
| "epoch": 0.4701981764750207, | |
| "grad_norm": 0.23281621932983398, | |
| "learning_rate": 0.00026685185185185183, | |
| "loss": 3.8114, | |
| "step": 1560 | |
| }, | |
| { | |
| "epoch": 0.4762263582247005, | |
| "grad_norm": 0.23552870750427246, | |
| "learning_rate": 0.00026314814814814815, | |
| "loss": 3.8086, | |
| "step": 1580 | |
| }, | |
| { | |
| "epoch": 0.4822545399743802, | |
| "grad_norm": 0.25271207094192505, | |
| "learning_rate": 0.0002594444444444444, | |
| "loss": 3.7954, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.48828272172405995, | |
| "grad_norm": 0.2609969675540924, | |
| "learning_rate": 0.0002557407407407408, | |
| "loss": 3.8052, | |
| "step": 1620 | |
| }, | |
| { | |
| "epoch": 0.49431090347373974, | |
| "grad_norm": 0.290229469537735, | |
| "learning_rate": 0.00025203703703703705, | |
| "loss": 3.7946, | |
| "step": 1640 | |
| }, | |
| { | |
| "epoch": 0.5003390852234195, | |
| "grad_norm": 0.2184811681509018, | |
| "learning_rate": 0.0002483333333333333, | |
| "loss": 3.7913, | |
| "step": 1660 | |
| }, | |
| { | |
| "epoch": 0.5063672669730992, | |
| "grad_norm": 0.24770255386829376, | |
| "learning_rate": 0.00024462962962962963, | |
| "loss": 3.7902, | |
| "step": 1680 | |
| }, | |
| { | |
| "epoch": 0.512395448722779, | |
| "grad_norm": 0.2306816428899765, | |
| "learning_rate": 0.00024092592592592593, | |
| "loss": 3.7775, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.5184236304724588, | |
| "grad_norm": 0.2789316475391388, | |
| "learning_rate": 0.00023722222222222222, | |
| "loss": 3.7774, | |
| "step": 1720 | |
| }, | |
| { | |
| "epoch": 0.5244518122221385, | |
| "grad_norm": 0.2576800286769867, | |
| "learning_rate": 0.0002335185185185185, | |
| "loss": 3.7773, | |
| "step": 1740 | |
| }, | |
| { | |
| "epoch": 0.5304799939718182, | |
| "grad_norm": 0.2184872031211853, | |
| "learning_rate": 0.0002298148148148148, | |
| "loss": 3.7739, | |
| "step": 1760 | |
| }, | |
| { | |
| "epoch": 0.536508175721498, | |
| "grad_norm": 0.27034640312194824, | |
| "learning_rate": 0.00022611111111111112, | |
| "loss": 3.7632, | |
| "step": 1780 | |
| }, | |
| { | |
| "epoch": 0.5425363574711778, | |
| "grad_norm": 0.2661360800266266, | |
| "learning_rate": 0.0002224074074074074, | |
| "loss": 3.7668, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.5425363574711778, | |
| "eval_loss": 3.7104278931619175, | |
| "eval_perplexity": 40.871291331988935, | |
| "eval_runtime": 112.585, | |
| "eval_samples_per_second": 14.736, | |
| "eval_steps_per_second": 0.231, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.5485645392208575, | |
| "grad_norm": 0.2934229373931885, | |
| "learning_rate": 0.0002187037037037037, | |
| "loss": 3.7645, | |
| "step": 1820 | |
| }, | |
| { | |
| "epoch": 0.5545927209705372, | |
| "grad_norm": 0.24501343071460724, | |
| "learning_rate": 0.000215, | |
| "loss": 3.7559, | |
| "step": 1840 | |
| }, | |
| { | |
| "epoch": 0.560620902720217, | |
| "grad_norm": 0.21381346881389618, | |
| "learning_rate": 0.00021129629629629629, | |
| "loss": 3.7482, | |
| "step": 1860 | |
| }, | |
| { | |
| "epoch": 0.5666490844698968, | |
| "grad_norm": 0.2350403219461441, | |
| "learning_rate": 0.0002075925925925926, | |
| "loss": 3.7488, | |
| "step": 1880 | |
| }, | |
| { | |
| "epoch": 0.5726772662195765, | |
| "grad_norm": 0.23535749316215515, | |
| "learning_rate": 0.0002038888888888889, | |
| "loss": 3.7409, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.5787054479692563, | |
| "grad_norm": 0.22763009369373322, | |
| "learning_rate": 0.0002001851851851852, | |
| "loss": 3.7431, | |
| "step": 1920 | |
| }, | |
| { | |
| "epoch": 0.584733629718936, | |
| "grad_norm": 0.22279077768325806, | |
| "learning_rate": 0.00019648148148148148, | |
| "loss": 3.7373, | |
| "step": 1940 | |
| }, | |
| { | |
| "epoch": 0.5907618114686157, | |
| "grad_norm": 0.19868987798690796, | |
| "learning_rate": 0.00019277777777777777, | |
| "loss": 3.7385, | |
| "step": 1960 | |
| }, | |
| { | |
| "epoch": 0.5967899932182955, | |
| "grad_norm": 0.22577470541000366, | |
| "learning_rate": 0.00018907407407407406, | |
| "loss": 3.7266, | |
| "step": 1980 | |
| }, | |
| { | |
| "epoch": 0.6028181749679753, | |
| "grad_norm": 0.23861481249332428, | |
| "learning_rate": 0.00018537037037037038, | |
| "loss": 3.7288, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.6088463567176551, | |
| "grad_norm": 0.2368811070919037, | |
| "learning_rate": 0.00018166666666666667, | |
| "loss": 3.7251, | |
| "step": 2020 | |
| }, | |
| { | |
| "epoch": 0.6148745384673348, | |
| "grad_norm": 0.23746469616889954, | |
| "learning_rate": 0.00017796296296296296, | |
| "loss": 3.7194, | |
| "step": 2040 | |
| }, | |
| { | |
| "epoch": 0.6209027202170145, | |
| "grad_norm": 0.19934986531734467, | |
| "learning_rate": 0.00017425925925925926, | |
| "loss": 3.7203, | |
| "step": 2060 | |
| }, | |
| { | |
| "epoch": 0.6269309019666943, | |
| "grad_norm": 0.22287386655807495, | |
| "learning_rate": 0.00017055555555555555, | |
| "loss": 3.7182, | |
| "step": 2080 | |
| }, | |
| { | |
| "epoch": 0.632959083716374, | |
| "grad_norm": 0.21625646948814392, | |
| "learning_rate": 0.00016685185185185187, | |
| "loss": 3.7133, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.632959083716374, | |
| "eval_loss": 3.661569493497066, | |
| "eval_perplexity": 38.922383385070816, | |
| "eval_runtime": 112.8832, | |
| "eval_samples_per_second": 14.697, | |
| "eval_steps_per_second": 0.23, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.6389872654660538, | |
| "grad_norm": 0.2128862887620926, | |
| "learning_rate": 0.00016314814814814816, | |
| "loss": 3.7123, | |
| "step": 2120 | |
| }, | |
| { | |
| "epoch": 0.6450154472157336, | |
| "grad_norm": 0.22579094767570496, | |
| "learning_rate": 0.00015944444444444445, | |
| "loss": 3.7103, | |
| "step": 2140 | |
| }, | |
| { | |
| "epoch": 0.6510436289654133, | |
| "grad_norm": 0.19634632766246796, | |
| "learning_rate": 0.00015574074074074074, | |
| "loss": 3.7077, | |
| "step": 2160 | |
| }, | |
| { | |
| "epoch": 0.657071810715093, | |
| "grad_norm": 0.21508827805519104, | |
| "learning_rate": 0.00015203703703703703, | |
| "loss": 3.7071, | |
| "step": 2180 | |
| }, | |
| { | |
| "epoch": 0.6630999924647728, | |
| "grad_norm": 0.23243261873722076, | |
| "learning_rate": 0.00014833333333333335, | |
| "loss": 3.7035, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 0.6691281742144526, | |
| "grad_norm": 0.22189666330814362, | |
| "learning_rate": 0.00014462962962962964, | |
| "loss": 3.7011, | |
| "step": 2220 | |
| }, | |
| { | |
| "epoch": 0.6751563559641324, | |
| "grad_norm": 0.19845160841941833, | |
| "learning_rate": 0.00014092592592592594, | |
| "loss": 3.6996, | |
| "step": 2240 | |
| }, | |
| { | |
| "epoch": 0.681184537713812, | |
| "grad_norm": 0.1785988211631775, | |
| "learning_rate": 0.00013722222222222223, | |
| "loss": 3.6866, | |
| "step": 2260 | |
| }, | |
| { | |
| "epoch": 0.6872127194634918, | |
| "grad_norm": 0.2001648247241974, | |
| "learning_rate": 0.00013351851851851852, | |
| "loss": 3.6939, | |
| "step": 2280 | |
| }, | |
| { | |
| "epoch": 0.6932409012131716, | |
| "grad_norm": 0.21330291032791138, | |
| "learning_rate": 0.00012981481481481484, | |
| "loss": 3.6868, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 0.6992690829628513, | |
| "grad_norm": 0.23209834098815918, | |
| "learning_rate": 0.00012611111111111113, | |
| "loss": 3.6803, | |
| "step": 2320 | |
| }, | |
| { | |
| "epoch": 0.7052972647125311, | |
| "grad_norm": 0.18792849779129028, | |
| "learning_rate": 0.00012240740740740742, | |
| "loss": 3.6824, | |
| "step": 2340 | |
| }, | |
| { | |
| "epoch": 0.7113254464622109, | |
| "grad_norm": 0.19127227365970612, | |
| "learning_rate": 0.0001187037037037037, | |
| "loss": 3.6821, | |
| "step": 2360 | |
| }, | |
| { | |
| "epoch": 0.7173536282118906, | |
| "grad_norm": 0.21657773852348328, | |
| "learning_rate": 0.000115, | |
| "loss": 3.6727, | |
| "step": 2380 | |
| }, | |
| { | |
| "epoch": 0.7233818099615703, | |
| "grad_norm": 0.1759604662656784, | |
| "learning_rate": 0.0001112962962962963, | |
| "loss": 3.6809, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.7233818099615703, | |
| "eval_loss": 3.62554258938625, | |
| "eval_perplexity": 37.54508920080861, | |
| "eval_runtime": 112.4817, | |
| "eval_samples_per_second": 14.749, | |
| "eval_steps_per_second": 0.231, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.7294099917112501, | |
| "grad_norm": 0.20114636421203613, | |
| "learning_rate": 0.00010759259259259259, | |
| "loss": 3.6772, | |
| "step": 2420 | |
| }, | |
| { | |
| "epoch": 0.7354381734609299, | |
| "grad_norm": 0.20904237031936646, | |
| "learning_rate": 0.00010388888888888889, | |
| "loss": 3.6754, | |
| "step": 2440 | |
| }, | |
| { | |
| "epoch": 0.7414663552106096, | |
| "grad_norm": 0.18807630240917206, | |
| "learning_rate": 0.00010018518518518518, | |
| "loss": 3.6756, | |
| "step": 2460 | |
| }, | |
| { | |
| "epoch": 0.7474945369602893, | |
| "grad_norm": 0.17234675586223602, | |
| "learning_rate": 9.648148148148149e-05, | |
| "loss": 3.6686, | |
| "step": 2480 | |
| }, | |
| { | |
| "epoch": 0.7535227187099691, | |
| "grad_norm": 0.18095088005065918, | |
| "learning_rate": 9.277777777777778e-05, | |
| "loss": 3.6691, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.7595509004596489, | |
| "grad_norm": 0.19775047898292542, | |
| "learning_rate": 8.907407407407407e-05, | |
| "loss": 3.6679, | |
| "step": 2520 | |
| }, | |
| { | |
| "epoch": 0.7655790822093286, | |
| "grad_norm": 0.1963493674993515, | |
| "learning_rate": 8.537037037037038e-05, | |
| "loss": 3.668, | |
| "step": 2540 | |
| }, | |
| { | |
| "epoch": 0.7716072639590084, | |
| "grad_norm": 0.16776752471923828, | |
| "learning_rate": 8.166666666666667e-05, | |
| "loss": 3.663, | |
| "step": 2560 | |
| }, | |
| { | |
| "epoch": 0.7776354457086881, | |
| "grad_norm": 0.18634021282196045, | |
| "learning_rate": 7.796296296296296e-05, | |
| "loss": 3.6616, | |
| "step": 2580 | |
| }, | |
| { | |
| "epoch": 0.7836636274583678, | |
| "grad_norm": 0.1853896975517273, | |
| "learning_rate": 7.425925925925927e-05, | |
| "loss": 3.6554, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 0.7896918092080476, | |
| "grad_norm": 0.19131463766098022, | |
| "learning_rate": 7.055555555555556e-05, | |
| "loss": 3.6617, | |
| "step": 2620 | |
| }, | |
| { | |
| "epoch": 0.7957199909577274, | |
| "grad_norm": 0.1861460953950882, | |
| "learning_rate": 6.685185185185186e-05, | |
| "loss": 3.6589, | |
| "step": 2640 | |
| }, | |
| { | |
| "epoch": 0.8017481727074072, | |
| "grad_norm": 0.18328429758548737, | |
| "learning_rate": 6.314814814814815e-05, | |
| "loss": 3.6581, | |
| "step": 2660 | |
| }, | |
| { | |
| "epoch": 0.8077763544570868, | |
| "grad_norm": 0.1829613447189331, | |
| "learning_rate": 5.9444444444444445e-05, | |
| "loss": 3.6508, | |
| "step": 2680 | |
| }, | |
| { | |
| "epoch": 0.8138045362067666, | |
| "grad_norm": 0.17789465188980103, | |
| "learning_rate": 5.5740740740740744e-05, | |
| "loss": 3.6536, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 0.8138045362067666, | |
| "eval_loss": 3.600645640400387, | |
| "eval_perplexity": 36.62187137207453, | |
| "eval_runtime": 112.2753, | |
| "eval_samples_per_second": 14.776, | |
| "eval_steps_per_second": 0.232, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 0.8198327179564464, | |
| "grad_norm": 0.16772860288619995, | |
| "learning_rate": 5.2037037037037035e-05, | |
| "loss": 3.6515, | |
| "step": 2720 | |
| }, | |
| { | |
| "epoch": 0.8258608997061262, | |
| "grad_norm": 0.16776631772518158, | |
| "learning_rate": 4.8333333333333334e-05, | |
| "loss": 3.6539, | |
| "step": 2740 | |
| }, | |
| { | |
| "epoch": 0.8318890814558059, | |
| "grad_norm": 0.1612899899482727, | |
| "learning_rate": 4.462962962962963e-05, | |
| "loss": 3.6494, | |
| "step": 2760 | |
| }, | |
| { | |
| "epoch": 0.8379172632054857, | |
| "grad_norm": 0.16370627284049988, | |
| "learning_rate": 4.092592592592593e-05, | |
| "loss": 3.648, | |
| "step": 2780 | |
| }, | |
| { | |
| "epoch": 0.8439454449551654, | |
| "grad_norm": 0.1611148715019226, | |
| "learning_rate": 3.722222222222222e-05, | |
| "loss": 3.6498, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 0.8499736267048451, | |
| "grad_norm": 0.16145454347133636, | |
| "learning_rate": 3.351851851851852e-05, | |
| "loss": 3.6518, | |
| "step": 2820 | |
| }, | |
| { | |
| "epoch": 0.8560018084545249, | |
| "grad_norm": 0.1517009735107422, | |
| "learning_rate": 2.9814814814814815e-05, | |
| "loss": 3.644, | |
| "step": 2840 | |
| }, | |
| { | |
| "epoch": 0.8620299902042047, | |
| "grad_norm": 0.1570337861776352, | |
| "learning_rate": 2.6111111111111114e-05, | |
| "loss": 3.6417, | |
| "step": 2860 | |
| }, | |
| { | |
| "epoch": 0.8680581719538845, | |
| "grad_norm": 0.16112424433231354, | |
| "learning_rate": 2.240740740740741e-05, | |
| "loss": 3.6459, | |
| "step": 2880 | |
| }, | |
| { | |
| "epoch": 0.8740863537035641, | |
| "grad_norm": 0.15278516709804535, | |
| "learning_rate": 1.8703703703703707e-05, | |
| "loss": 3.6408, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 0.8801145354532439, | |
| "grad_norm": 0.15267758071422577, | |
| "learning_rate": 1.5e-05, | |
| "loss": 3.6452, | |
| "step": 2920 | |
| }, | |
| { | |
| "epoch": 0.8861427172029237, | |
| "grad_norm": 0.14383205771446228, | |
| "learning_rate": 1.1296296296296295e-05, | |
| "loss": 3.6364, | |
| "step": 2940 | |
| }, | |
| { | |
| "epoch": 0.8921708989526034, | |
| "grad_norm": 0.14794571697711945, | |
| "learning_rate": 7.592592592592593e-06, | |
| "loss": 3.6325, | |
| "step": 2960 | |
| }, | |
| { | |
| "epoch": 0.8981990807022832, | |
| "grad_norm": 0.14148849248886108, | |
| "learning_rate": 3.888888888888889e-06, | |
| "loss": 3.64, | |
| "step": 2980 | |
| }, | |
| { | |
| "epoch": 0.9042272624519629, | |
| "grad_norm": 0.1426716446876526, | |
| "learning_rate": 1.8518518518518518e-07, | |
| "loss": 3.6443, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.9042272624519629, | |
| "eval_loss": 3.587533058962724, | |
| "eval_perplexity": 36.1447987636509, | |
| "eval_runtime": 112.2843, | |
| "eval_samples_per_second": 14.775, | |
| "eval_steps_per_second": 0.232, | |
| "step": 3000 | |
| } | |
| ], | |
| "logging_steps": 20, | |
| "max_steps": 3000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 300, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.604552000274432e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |