diff --git "a/checkpoint-2000/trainer_state.json" "b/checkpoint-2000/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-2000/trainer_state.json" @@ -0,0 +1,14033 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9719353662981411, + "eval_steps": 500, + "global_step": 2000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0004859676831490706, + "grad_norm": 2.4448609352111816, + "learning_rate": 8e-05, + "loss": 1.9202, + "step": 1 + }, + { + "epoch": 0.0009719353662981412, + "grad_norm": 13.270967483520508, + "learning_rate": 8e-05, + "loss": 2.279, + "step": 2 + }, + { + "epoch": 0.0014579030494472117, + "grad_norm": 3.2046079635620117, + "learning_rate": 8e-05, + "loss": 2.0192, + "step": 3 + }, + { + "epoch": 0.0019438707325962824, + "grad_norm": 2.4486401081085205, + "learning_rate": 8e-05, + "loss": 1.9482, + "step": 4 + }, + { + "epoch": 0.0024298384157453528, + "grad_norm": 1.5665167570114136, + "learning_rate": 8e-05, + "loss": 1.802, + "step": 5 + }, + { + "epoch": 0.0029158060988944234, + "grad_norm": 1.5493930578231812, + "learning_rate": 8e-05, + "loss": 1.9056, + "step": 6 + }, + { + "epoch": 0.003401773782043494, + "grad_norm": 1.8967368602752686, + "learning_rate": 8e-05, + "loss": 1.8006, + "step": 7 + }, + { + "epoch": 0.0038877414651925647, + "grad_norm": 1.4563767910003662, + "learning_rate": 8e-05, + "loss": 1.8623, + "step": 8 + }, + { + "epoch": 0.004373709148341635, + "grad_norm": 1.0435065031051636, + "learning_rate": 8e-05, + "loss": 1.8765, + "step": 9 + }, + { + "epoch": 0.0048596768314907056, + "grad_norm": 1.1731218099594116, + "learning_rate": 8e-05, + "loss": 1.8238, + "step": 10 + }, + { + "epoch": 0.005345644514639776, + "grad_norm": 0.9924207329750061, + "learning_rate": 8e-05, + "loss": 1.8125, + "step": 11 + }, + { + "epoch": 0.005831612197788847, + "grad_norm": 1.0741186141967773, + "learning_rate": 8e-05, + "loss": 1.8727, + "step": 12 + }, + { + "epoch": 0.0063175798809379175, + "grad_norm": 1.0654770135879517, + "learning_rate": 8e-05, + "loss": 1.9239, + "step": 13 + }, + { + "epoch": 0.006803547564086988, + "grad_norm": 1.0058425664901733, + "learning_rate": 8e-05, + "loss": 1.7879, + "step": 14 + }, + { + "epoch": 0.007289515247236059, + "grad_norm": 1.0155013799667358, + "learning_rate": 8e-05, + "loss": 1.8111, + "step": 15 + }, + { + "epoch": 0.007775482930385129, + "grad_norm": 1.0371928215026855, + "learning_rate": 8e-05, + "loss": 1.8491, + "step": 16 + }, + { + "epoch": 0.0082614506135342, + "grad_norm": 0.9706669449806213, + "learning_rate": 8e-05, + "loss": 1.9443, + "step": 17 + }, + { + "epoch": 0.00874741829668327, + "grad_norm": 0.9941697716712952, + "learning_rate": 8e-05, + "loss": 1.8283, + "step": 18 + }, + { + "epoch": 0.00923338597983234, + "grad_norm": 0.9171883463859558, + "learning_rate": 8e-05, + "loss": 1.8007, + "step": 19 + }, + { + "epoch": 0.009719353662981411, + "grad_norm": 0.9293717741966248, + "learning_rate": 8e-05, + "loss": 1.9136, + "step": 20 + }, + { + "epoch": 0.010205321346130482, + "grad_norm": 0.9232255220413208, + "learning_rate": 8e-05, + "loss": 1.9064, + "step": 21 + }, + { + "epoch": 0.010691289029279552, + "grad_norm": 1.367170810699463, + "learning_rate": 8e-05, + "loss": 1.7385, + "step": 22 + }, + { + "epoch": 0.011177256712428623, + "grad_norm": 0.9535369873046875, + "learning_rate": 8e-05, + "loss": 1.9121, + "step": 23 + }, + { + "epoch": 0.011663224395577694, + "grad_norm": 0.9003153443336487, + "learning_rate": 8e-05, + "loss": 1.906, + "step": 24 + }, + { + "epoch": 0.012149192078726764, + "grad_norm": 0.874940812587738, + "learning_rate": 8e-05, + "loss": 1.8489, + "step": 25 + }, + { + "epoch": 0.012635159761875835, + "grad_norm": 0.8550360202789307, + "learning_rate": 8e-05, + "loss": 1.7969, + "step": 26 + }, + { + "epoch": 0.013121127445024906, + "grad_norm": 0.8408151268959045, + "learning_rate": 8e-05, + "loss": 1.8315, + "step": 27 + }, + { + "epoch": 0.013607095128173976, + "grad_norm": 0.8486356735229492, + "learning_rate": 8e-05, + "loss": 1.8715, + "step": 28 + }, + { + "epoch": 0.014093062811323047, + "grad_norm": 0.8953609466552734, + "learning_rate": 8e-05, + "loss": 1.9213, + "step": 29 + }, + { + "epoch": 0.014579030494472118, + "grad_norm": 0.8564465045928955, + "learning_rate": 8e-05, + "loss": 1.7525, + "step": 30 + }, + { + "epoch": 0.015064998177621188, + "grad_norm": 0.8466960787773132, + "learning_rate": 8e-05, + "loss": 1.8447, + "step": 31 + }, + { + "epoch": 0.015550965860770259, + "grad_norm": 0.8281689286231995, + "learning_rate": 8e-05, + "loss": 1.7945, + "step": 32 + }, + { + "epoch": 0.01603693354391933, + "grad_norm": 0.8964352011680603, + "learning_rate": 8e-05, + "loss": 1.7437, + "step": 33 + }, + { + "epoch": 0.0165229012270684, + "grad_norm": 0.8936882019042969, + "learning_rate": 8e-05, + "loss": 1.8412, + "step": 34 + }, + { + "epoch": 0.01700886891021747, + "grad_norm": 0.9289807677268982, + "learning_rate": 8e-05, + "loss": 1.7929, + "step": 35 + }, + { + "epoch": 0.01749483659336654, + "grad_norm": 0.8268332481384277, + "learning_rate": 8e-05, + "loss": 1.7912, + "step": 36 + }, + { + "epoch": 0.017980804276515612, + "grad_norm": 0.8690956234931946, + "learning_rate": 8e-05, + "loss": 1.9121, + "step": 37 + }, + { + "epoch": 0.01846677195966468, + "grad_norm": 0.8100050091743469, + "learning_rate": 8e-05, + "loss": 1.8061, + "step": 38 + }, + { + "epoch": 0.018952739642813753, + "grad_norm": 0.8319576382637024, + "learning_rate": 8e-05, + "loss": 1.726, + "step": 39 + }, + { + "epoch": 0.019438707325962822, + "grad_norm": 0.8179341554641724, + "learning_rate": 8e-05, + "loss": 1.7377, + "step": 40 + }, + { + "epoch": 0.019924675009111895, + "grad_norm": 0.8315586447715759, + "learning_rate": 8e-05, + "loss": 1.8591, + "step": 41 + }, + { + "epoch": 0.020410642692260964, + "grad_norm": 0.8326808214187622, + "learning_rate": 8e-05, + "loss": 1.854, + "step": 42 + }, + { + "epoch": 0.020896610375410036, + "grad_norm": 0.8463872671127319, + "learning_rate": 8e-05, + "loss": 1.7272, + "step": 43 + }, + { + "epoch": 0.021382578058559105, + "grad_norm": 0.8183313012123108, + "learning_rate": 8e-05, + "loss": 1.7174, + "step": 44 + }, + { + "epoch": 0.021868545741708177, + "grad_norm": 0.8056971430778503, + "learning_rate": 8e-05, + "loss": 1.7288, + "step": 45 + }, + { + "epoch": 0.022354513424857246, + "grad_norm": 0.8192340135574341, + "learning_rate": 8e-05, + "loss": 1.8293, + "step": 46 + }, + { + "epoch": 0.02284048110800632, + "grad_norm": 0.8588706851005554, + "learning_rate": 8e-05, + "loss": 1.8596, + "step": 47 + }, + { + "epoch": 0.023326448791155387, + "grad_norm": 0.7989048361778259, + "learning_rate": 8e-05, + "loss": 1.7926, + "step": 48 + }, + { + "epoch": 0.02381241647430446, + "grad_norm": 0.8248831033706665, + "learning_rate": 8e-05, + "loss": 1.837, + "step": 49 + }, + { + "epoch": 0.02429838415745353, + "grad_norm": 0.8250545859336853, + "learning_rate": 8e-05, + "loss": 1.7824, + "step": 50 + }, + { + "epoch": 0.0247843518406026, + "grad_norm": 0.8194087743759155, + "learning_rate": 8e-05, + "loss": 1.745, + "step": 51 + }, + { + "epoch": 0.02527031952375167, + "grad_norm": 0.8470503091812134, + "learning_rate": 8e-05, + "loss": 1.9178, + "step": 52 + }, + { + "epoch": 0.025756287206900742, + "grad_norm": 0.899069607257843, + "learning_rate": 8e-05, + "loss": 1.9354, + "step": 53 + }, + { + "epoch": 0.02624225489004981, + "grad_norm": 0.761150598526001, + "learning_rate": 8e-05, + "loss": 1.751, + "step": 54 + }, + { + "epoch": 0.026728222573198884, + "grad_norm": 0.806092381477356, + "learning_rate": 8e-05, + "loss": 1.8163, + "step": 55 + }, + { + "epoch": 0.027214190256347952, + "grad_norm": 0.8461784720420837, + "learning_rate": 8e-05, + "loss": 1.8842, + "step": 56 + }, + { + "epoch": 0.027700157939497025, + "grad_norm": 0.7875487804412842, + "learning_rate": 8e-05, + "loss": 1.819, + "step": 57 + }, + { + "epoch": 0.028186125622646094, + "grad_norm": 0.786284863948822, + "learning_rate": 8e-05, + "loss": 1.6985, + "step": 58 + }, + { + "epoch": 0.028672093305795166, + "grad_norm": 0.818300724029541, + "learning_rate": 8e-05, + "loss": 1.6373, + "step": 59 + }, + { + "epoch": 0.029158060988944235, + "grad_norm": 0.7953868508338928, + "learning_rate": 8e-05, + "loss": 1.8081, + "step": 60 + }, + { + "epoch": 0.029644028672093307, + "grad_norm": 0.7782135605812073, + "learning_rate": 8e-05, + "loss": 1.744, + "step": 61 + }, + { + "epoch": 0.030129996355242376, + "grad_norm": 0.7963123321533203, + "learning_rate": 8e-05, + "loss": 1.7847, + "step": 62 + }, + { + "epoch": 0.030615964038391445, + "grad_norm": 0.7954518795013428, + "learning_rate": 8e-05, + "loss": 1.7755, + "step": 63 + }, + { + "epoch": 0.031101931721540518, + "grad_norm": 0.8115093111991882, + "learning_rate": 8e-05, + "loss": 1.7906, + "step": 64 + }, + { + "epoch": 0.03158789940468959, + "grad_norm": 0.7762129902839661, + "learning_rate": 8e-05, + "loss": 1.8315, + "step": 65 + }, + { + "epoch": 0.03207386708783866, + "grad_norm": 0.8169989585876465, + "learning_rate": 8e-05, + "loss": 1.8314, + "step": 66 + }, + { + "epoch": 0.03255983477098773, + "grad_norm": 0.7835465669631958, + "learning_rate": 8e-05, + "loss": 1.7605, + "step": 67 + }, + { + "epoch": 0.0330458024541368, + "grad_norm": 0.824303925037384, + "learning_rate": 8e-05, + "loss": 1.9146, + "step": 68 + }, + { + "epoch": 0.03353177013728587, + "grad_norm": 0.771300196647644, + "learning_rate": 8e-05, + "loss": 1.7004, + "step": 69 + }, + { + "epoch": 0.03401773782043494, + "grad_norm": 0.7965942621231079, + "learning_rate": 8e-05, + "loss": 1.831, + "step": 70 + }, + { + "epoch": 0.03450370550358401, + "grad_norm": 0.7493419647216797, + "learning_rate": 8e-05, + "loss": 1.7244, + "step": 71 + }, + { + "epoch": 0.03498967318673308, + "grad_norm": 0.786291778087616, + "learning_rate": 8e-05, + "loss": 1.7396, + "step": 72 + }, + { + "epoch": 0.035475640869882155, + "grad_norm": 0.7498940825462341, + "learning_rate": 8e-05, + "loss": 1.63, + "step": 73 + }, + { + "epoch": 0.035961608553031224, + "grad_norm": 0.7617571949958801, + "learning_rate": 8e-05, + "loss": 1.7174, + "step": 74 + }, + { + "epoch": 0.03644757623618029, + "grad_norm": 0.7914626002311707, + "learning_rate": 8e-05, + "loss": 1.7682, + "step": 75 + }, + { + "epoch": 0.03693354391932936, + "grad_norm": 0.7942573428153992, + "learning_rate": 8e-05, + "loss": 1.7419, + "step": 76 + }, + { + "epoch": 0.03741951160247844, + "grad_norm": 0.7614278197288513, + "learning_rate": 8e-05, + "loss": 1.792, + "step": 77 + }, + { + "epoch": 0.03790547928562751, + "grad_norm": 0.7638015151023865, + "learning_rate": 8e-05, + "loss": 1.7609, + "step": 78 + }, + { + "epoch": 0.038391446968776576, + "grad_norm": 0.7628077864646912, + "learning_rate": 8e-05, + "loss": 1.8112, + "step": 79 + }, + { + "epoch": 0.038877414651925644, + "grad_norm": 0.775968074798584, + "learning_rate": 8e-05, + "loss": 1.8125, + "step": 80 + }, + { + "epoch": 0.03936338233507472, + "grad_norm": 0.7894865870475769, + "learning_rate": 8e-05, + "loss": 1.7243, + "step": 81 + }, + { + "epoch": 0.03984935001822379, + "grad_norm": 0.7538908123970032, + "learning_rate": 8e-05, + "loss": 1.7582, + "step": 82 + }, + { + "epoch": 0.04033531770137286, + "grad_norm": 0.7814928293228149, + "learning_rate": 8e-05, + "loss": 1.7734, + "step": 83 + }, + { + "epoch": 0.04082128538452193, + "grad_norm": 0.7374563217163086, + "learning_rate": 8e-05, + "loss": 1.6297, + "step": 84 + }, + { + "epoch": 0.041307253067671, + "grad_norm": 0.7953599095344543, + "learning_rate": 8e-05, + "loss": 1.8084, + "step": 85 + }, + { + "epoch": 0.04179322075082007, + "grad_norm": 0.7836169004440308, + "learning_rate": 8e-05, + "loss": 1.7694, + "step": 86 + }, + { + "epoch": 0.04227918843396914, + "grad_norm": 0.78363436460495, + "learning_rate": 8e-05, + "loss": 1.7396, + "step": 87 + }, + { + "epoch": 0.04276515611711821, + "grad_norm": 0.7557580471038818, + "learning_rate": 8e-05, + "loss": 1.6918, + "step": 88 + }, + { + "epoch": 0.043251123800267285, + "grad_norm": 0.8616353869438171, + "learning_rate": 8e-05, + "loss": 1.7818, + "step": 89 + }, + { + "epoch": 0.043737091483416354, + "grad_norm": 0.8253611326217651, + "learning_rate": 8e-05, + "loss": 1.7881, + "step": 90 + }, + { + "epoch": 0.04422305916656542, + "grad_norm": 0.8060818910598755, + "learning_rate": 8e-05, + "loss": 1.6931, + "step": 91 + }, + { + "epoch": 0.04470902684971449, + "grad_norm": 0.7820587754249573, + "learning_rate": 8e-05, + "loss": 1.8662, + "step": 92 + }, + { + "epoch": 0.04519499453286357, + "grad_norm": 0.7535014748573303, + "learning_rate": 8e-05, + "loss": 1.6988, + "step": 93 + }, + { + "epoch": 0.04568096221601264, + "grad_norm": 0.7786268591880798, + "learning_rate": 8e-05, + "loss": 1.8558, + "step": 94 + }, + { + "epoch": 0.046166929899161706, + "grad_norm": 0.7799100279808044, + "learning_rate": 8e-05, + "loss": 1.7975, + "step": 95 + }, + { + "epoch": 0.046652897582310775, + "grad_norm": 0.7639046907424927, + "learning_rate": 8e-05, + "loss": 1.8287, + "step": 96 + }, + { + "epoch": 0.047138865265459844, + "grad_norm": 0.7496750354766846, + "learning_rate": 8e-05, + "loss": 1.7675, + "step": 97 + }, + { + "epoch": 0.04762483294860892, + "grad_norm": 0.7450771331787109, + "learning_rate": 8e-05, + "loss": 1.7679, + "step": 98 + }, + { + "epoch": 0.04811080063175799, + "grad_norm": 0.7535659670829773, + "learning_rate": 8e-05, + "loss": 1.7457, + "step": 99 + }, + { + "epoch": 0.04859676831490706, + "grad_norm": 0.7719403505325317, + "learning_rate": 8e-05, + "loss": 1.6904, + "step": 100 + }, + { + "epoch": 0.049082735998056126, + "grad_norm": 0.7801598906517029, + "learning_rate": 8e-05, + "loss": 1.8374, + "step": 101 + }, + { + "epoch": 0.0495687036812052, + "grad_norm": 0.8033794164657593, + "learning_rate": 8e-05, + "loss": 1.832, + "step": 102 + }, + { + "epoch": 0.05005467136435427, + "grad_norm": 0.7571967840194702, + "learning_rate": 8e-05, + "loss": 1.7705, + "step": 103 + }, + { + "epoch": 0.05054063904750334, + "grad_norm": 0.8226978182792664, + "learning_rate": 8e-05, + "loss": 1.8415, + "step": 104 + }, + { + "epoch": 0.05102660673065241, + "grad_norm": 0.7520501017570496, + "learning_rate": 8e-05, + "loss": 1.7823, + "step": 105 + }, + { + "epoch": 0.051512574413801485, + "grad_norm": 0.781470537185669, + "learning_rate": 8e-05, + "loss": 1.719, + "step": 106 + }, + { + "epoch": 0.051998542096950554, + "grad_norm": 0.7554371356964111, + "learning_rate": 8e-05, + "loss": 1.7176, + "step": 107 + }, + { + "epoch": 0.05248450978009962, + "grad_norm": 0.7618365287780762, + "learning_rate": 8e-05, + "loss": 1.8165, + "step": 108 + }, + { + "epoch": 0.05297047746324869, + "grad_norm": 0.7600571513175964, + "learning_rate": 8e-05, + "loss": 1.7371, + "step": 109 + }, + { + "epoch": 0.05345644514639777, + "grad_norm": 0.7518073916435242, + "learning_rate": 8e-05, + "loss": 1.744, + "step": 110 + }, + { + "epoch": 0.053942412829546836, + "grad_norm": 0.7937865853309631, + "learning_rate": 8e-05, + "loss": 1.8204, + "step": 111 + }, + { + "epoch": 0.054428380512695905, + "grad_norm": 0.7794619798660278, + "learning_rate": 8e-05, + "loss": 1.8048, + "step": 112 + }, + { + "epoch": 0.054914348195844974, + "grad_norm": 0.7729494571685791, + "learning_rate": 8e-05, + "loss": 1.7184, + "step": 113 + }, + { + "epoch": 0.05540031587899405, + "grad_norm": 0.764567494392395, + "learning_rate": 8e-05, + "loss": 1.746, + "step": 114 + }, + { + "epoch": 0.05588628356214312, + "grad_norm": 0.807798445224762, + "learning_rate": 8e-05, + "loss": 1.8141, + "step": 115 + }, + { + "epoch": 0.05637225124529219, + "grad_norm": 0.772461473941803, + "learning_rate": 8e-05, + "loss": 1.6878, + "step": 116 + }, + { + "epoch": 0.056858218928441256, + "grad_norm": 0.7937839031219482, + "learning_rate": 8e-05, + "loss": 1.8105, + "step": 117 + }, + { + "epoch": 0.05734418661159033, + "grad_norm": 0.736148476600647, + "learning_rate": 8e-05, + "loss": 1.6692, + "step": 118 + }, + { + "epoch": 0.0578301542947394, + "grad_norm": 0.8022646903991699, + "learning_rate": 8e-05, + "loss": 1.786, + "step": 119 + }, + { + "epoch": 0.05831612197788847, + "grad_norm": 0.7743873000144958, + "learning_rate": 8e-05, + "loss": 1.804, + "step": 120 + }, + { + "epoch": 0.05880208966103754, + "grad_norm": 0.79759281873703, + "learning_rate": 8e-05, + "loss": 1.7613, + "step": 121 + }, + { + "epoch": 0.059288057344186615, + "grad_norm": 0.7736479640007019, + "learning_rate": 8e-05, + "loss": 1.7923, + "step": 122 + }, + { + "epoch": 0.059774025027335684, + "grad_norm": 0.7620419263839722, + "learning_rate": 8e-05, + "loss": 1.7459, + "step": 123 + }, + { + "epoch": 0.06025999271048475, + "grad_norm": 0.7272644639015198, + "learning_rate": 8e-05, + "loss": 1.7041, + "step": 124 + }, + { + "epoch": 0.06074596039363382, + "grad_norm": 0.743613600730896, + "learning_rate": 8e-05, + "loss": 1.7518, + "step": 125 + }, + { + "epoch": 0.06123192807678289, + "grad_norm": 0.7796114087104797, + "learning_rate": 8e-05, + "loss": 1.7195, + "step": 126 + }, + { + "epoch": 0.061717895759931966, + "grad_norm": 0.747711718082428, + "learning_rate": 8e-05, + "loss": 1.6905, + "step": 127 + }, + { + "epoch": 0.062203863443081035, + "grad_norm": 0.7622174024581909, + "learning_rate": 8e-05, + "loss": 1.732, + "step": 128 + }, + { + "epoch": 0.06268983112623011, + "grad_norm": 0.7554340362548828, + "learning_rate": 8e-05, + "loss": 1.6803, + "step": 129 + }, + { + "epoch": 0.06317579880937918, + "grad_norm": 0.7275816202163696, + "learning_rate": 8e-05, + "loss": 1.6863, + "step": 130 + }, + { + "epoch": 0.06366176649252825, + "grad_norm": 0.7357078790664673, + "learning_rate": 8e-05, + "loss": 1.8095, + "step": 131 + }, + { + "epoch": 0.06414773417567732, + "grad_norm": 0.7402067184448242, + "learning_rate": 8e-05, + "loss": 1.7661, + "step": 132 + }, + { + "epoch": 0.06463370185882639, + "grad_norm": 0.7280262112617493, + "learning_rate": 8e-05, + "loss": 1.7219, + "step": 133 + }, + { + "epoch": 0.06511966954197546, + "grad_norm": 0.7843252420425415, + "learning_rate": 8e-05, + "loss": 1.9391, + "step": 134 + }, + { + "epoch": 0.06560563722512452, + "grad_norm": 0.7665972709655762, + "learning_rate": 8e-05, + "loss": 1.8084, + "step": 135 + }, + { + "epoch": 0.0660916049082736, + "grad_norm": 0.7905083298683167, + "learning_rate": 8e-05, + "loss": 1.8191, + "step": 136 + }, + { + "epoch": 0.06657757259142268, + "grad_norm": 0.8167449235916138, + "learning_rate": 8e-05, + "loss": 1.8108, + "step": 137 + }, + { + "epoch": 0.06706354027457175, + "grad_norm": 0.7527084946632385, + "learning_rate": 8e-05, + "loss": 1.8011, + "step": 138 + }, + { + "epoch": 0.06754950795772081, + "grad_norm": 0.7817428708076477, + "learning_rate": 8e-05, + "loss": 1.6976, + "step": 139 + }, + { + "epoch": 0.06803547564086988, + "grad_norm": 0.7485918402671814, + "learning_rate": 8e-05, + "loss": 1.7659, + "step": 140 + }, + { + "epoch": 0.06852144332401895, + "grad_norm": 0.7752904295921326, + "learning_rate": 8e-05, + "loss": 1.7426, + "step": 141 + }, + { + "epoch": 0.06900741100716802, + "grad_norm": 0.7750376462936401, + "learning_rate": 8e-05, + "loss": 1.8314, + "step": 142 + }, + { + "epoch": 0.06949337869031709, + "grad_norm": 0.8052763938903809, + "learning_rate": 8e-05, + "loss": 1.7471, + "step": 143 + }, + { + "epoch": 0.06997934637346616, + "grad_norm": 0.7564165592193604, + "learning_rate": 8e-05, + "loss": 1.8404, + "step": 144 + }, + { + "epoch": 0.07046531405661524, + "grad_norm": 0.8227714896202087, + "learning_rate": 8e-05, + "loss": 1.7559, + "step": 145 + }, + { + "epoch": 0.07095128173976431, + "grad_norm": 0.746425986289978, + "learning_rate": 8e-05, + "loss": 1.7172, + "step": 146 + }, + { + "epoch": 0.07143724942291338, + "grad_norm": 0.8286752700805664, + "learning_rate": 8e-05, + "loss": 1.7673, + "step": 147 + }, + { + "epoch": 0.07192321710606245, + "grad_norm": 0.7334216237068176, + "learning_rate": 8e-05, + "loss": 1.7783, + "step": 148 + }, + { + "epoch": 0.07240918478921152, + "grad_norm": 0.8212454319000244, + "learning_rate": 8e-05, + "loss": 1.7831, + "step": 149 + }, + { + "epoch": 0.07289515247236059, + "grad_norm": 0.776168704032898, + "learning_rate": 8e-05, + "loss": 1.6956, + "step": 150 + }, + { + "epoch": 0.07338112015550965, + "grad_norm": 0.7995423078536987, + "learning_rate": 8e-05, + "loss": 1.7718, + "step": 151 + }, + { + "epoch": 0.07386708783865872, + "grad_norm": 0.8106943964958191, + "learning_rate": 8e-05, + "loss": 1.8241, + "step": 152 + }, + { + "epoch": 0.0743530555218078, + "grad_norm": 0.7627594470977783, + "learning_rate": 8e-05, + "loss": 1.7804, + "step": 153 + }, + { + "epoch": 0.07483902320495688, + "grad_norm": 0.7455682754516602, + "learning_rate": 8e-05, + "loss": 1.7426, + "step": 154 + }, + { + "epoch": 0.07532499088810594, + "grad_norm": 0.7307602763175964, + "learning_rate": 8e-05, + "loss": 1.7283, + "step": 155 + }, + { + "epoch": 0.07581095857125501, + "grad_norm": 0.784433126449585, + "learning_rate": 8e-05, + "loss": 1.9063, + "step": 156 + }, + { + "epoch": 0.07629692625440408, + "grad_norm": 0.7390819191932678, + "learning_rate": 8e-05, + "loss": 1.7333, + "step": 157 + }, + { + "epoch": 0.07678289393755315, + "grad_norm": 0.7457150816917419, + "learning_rate": 8e-05, + "loss": 1.7533, + "step": 158 + }, + { + "epoch": 0.07726886162070222, + "grad_norm": 0.7638875842094421, + "learning_rate": 8e-05, + "loss": 1.8004, + "step": 159 + }, + { + "epoch": 0.07775482930385129, + "grad_norm": 0.7380759716033936, + "learning_rate": 8e-05, + "loss": 1.6145, + "step": 160 + }, + { + "epoch": 0.07824079698700036, + "grad_norm": 0.7439815998077393, + "learning_rate": 8e-05, + "loss": 1.7438, + "step": 161 + }, + { + "epoch": 0.07872676467014944, + "grad_norm": 0.7513895034790039, + "learning_rate": 8e-05, + "loss": 1.7399, + "step": 162 + }, + { + "epoch": 0.07921273235329851, + "grad_norm": 0.7387180328369141, + "learning_rate": 8e-05, + "loss": 1.7396, + "step": 163 + }, + { + "epoch": 0.07969870003644758, + "grad_norm": 0.7378660440444946, + "learning_rate": 8e-05, + "loss": 1.7938, + "step": 164 + }, + { + "epoch": 0.08018466771959665, + "grad_norm": 0.7654342651367188, + "learning_rate": 8e-05, + "loss": 1.8052, + "step": 165 + }, + { + "epoch": 0.08067063540274572, + "grad_norm": 0.7595049142837524, + "learning_rate": 8e-05, + "loss": 1.7566, + "step": 166 + }, + { + "epoch": 0.08115660308589479, + "grad_norm": 0.7756885886192322, + "learning_rate": 8e-05, + "loss": 1.8195, + "step": 167 + }, + { + "epoch": 0.08164257076904385, + "grad_norm": 0.720808744430542, + "learning_rate": 8e-05, + "loss": 1.8151, + "step": 168 + }, + { + "epoch": 0.08212853845219292, + "grad_norm": 0.742946982383728, + "learning_rate": 8e-05, + "loss": 1.7991, + "step": 169 + }, + { + "epoch": 0.082614506135342, + "grad_norm": 0.7688474655151367, + "learning_rate": 8e-05, + "loss": 1.8719, + "step": 170 + }, + { + "epoch": 0.08310047381849107, + "grad_norm": 0.7337490916252136, + "learning_rate": 8e-05, + "loss": 1.7147, + "step": 171 + }, + { + "epoch": 0.08358644150164014, + "grad_norm": 0.7888994812965393, + "learning_rate": 8e-05, + "loss": 1.8068, + "step": 172 + }, + { + "epoch": 0.08407240918478921, + "grad_norm": 0.8796278238296509, + "learning_rate": 8e-05, + "loss": 1.781, + "step": 173 + }, + { + "epoch": 0.08455837686793828, + "grad_norm": 0.7856938242912292, + "learning_rate": 8e-05, + "loss": 1.7965, + "step": 174 + }, + { + "epoch": 0.08504434455108735, + "grad_norm": 0.7243691682815552, + "learning_rate": 8e-05, + "loss": 1.7173, + "step": 175 + }, + { + "epoch": 0.08553031223423642, + "grad_norm": 0.7716972827911377, + "learning_rate": 8e-05, + "loss": 1.7147, + "step": 176 + }, + { + "epoch": 0.08601627991738549, + "grad_norm": 0.7403793931007385, + "learning_rate": 8e-05, + "loss": 1.8092, + "step": 177 + }, + { + "epoch": 0.08650224760053457, + "grad_norm": 0.7590733170509338, + "learning_rate": 8e-05, + "loss": 1.6741, + "step": 178 + }, + { + "epoch": 0.08698821528368364, + "grad_norm": 0.7034937739372253, + "learning_rate": 8e-05, + "loss": 1.6921, + "step": 179 + }, + { + "epoch": 0.08747418296683271, + "grad_norm": 0.7486933469772339, + "learning_rate": 8e-05, + "loss": 1.7373, + "step": 180 + }, + { + "epoch": 0.08796015064998178, + "grad_norm": 0.7233313918113708, + "learning_rate": 8e-05, + "loss": 1.6989, + "step": 181 + }, + { + "epoch": 0.08844611833313085, + "grad_norm": 0.7209268808364868, + "learning_rate": 8e-05, + "loss": 1.6732, + "step": 182 + }, + { + "epoch": 0.08893208601627992, + "grad_norm": 0.7451608180999756, + "learning_rate": 8e-05, + "loss": 1.9187, + "step": 183 + }, + { + "epoch": 0.08941805369942898, + "grad_norm": 0.7491340637207031, + "learning_rate": 8e-05, + "loss": 1.7786, + "step": 184 + }, + { + "epoch": 0.08990402138257805, + "grad_norm": 0.7303433418273926, + "learning_rate": 8e-05, + "loss": 1.6977, + "step": 185 + }, + { + "epoch": 0.09038998906572714, + "grad_norm": 0.7609615325927734, + "learning_rate": 8e-05, + "loss": 1.8273, + "step": 186 + }, + { + "epoch": 0.0908759567488762, + "grad_norm": 0.732149064540863, + "learning_rate": 8e-05, + "loss": 1.7655, + "step": 187 + }, + { + "epoch": 0.09136192443202527, + "grad_norm": 0.7594504356384277, + "learning_rate": 8e-05, + "loss": 1.8122, + "step": 188 + }, + { + "epoch": 0.09184789211517434, + "grad_norm": 0.7743573188781738, + "learning_rate": 8e-05, + "loss": 1.7085, + "step": 189 + }, + { + "epoch": 0.09233385979832341, + "grad_norm": 0.758564829826355, + "learning_rate": 8e-05, + "loss": 1.7353, + "step": 190 + }, + { + "epoch": 0.09281982748147248, + "grad_norm": 0.7762187719345093, + "learning_rate": 8e-05, + "loss": 1.7942, + "step": 191 + }, + { + "epoch": 0.09330579516462155, + "grad_norm": 0.7215401530265808, + "learning_rate": 8e-05, + "loss": 1.6615, + "step": 192 + }, + { + "epoch": 0.09379176284777062, + "grad_norm": 0.7193935513496399, + "learning_rate": 8e-05, + "loss": 1.7636, + "step": 193 + }, + { + "epoch": 0.09427773053091969, + "grad_norm": 0.7437982559204102, + "learning_rate": 8e-05, + "loss": 1.7284, + "step": 194 + }, + { + "epoch": 0.09476369821406877, + "grad_norm": 0.718082845211029, + "learning_rate": 8e-05, + "loss": 1.6973, + "step": 195 + }, + { + "epoch": 0.09524966589721784, + "grad_norm": 0.789637565612793, + "learning_rate": 8e-05, + "loss": 1.9072, + "step": 196 + }, + { + "epoch": 0.09573563358036691, + "grad_norm": 0.7061552405357361, + "learning_rate": 8e-05, + "loss": 1.6949, + "step": 197 + }, + { + "epoch": 0.09622160126351598, + "grad_norm": 0.7664032578468323, + "learning_rate": 8e-05, + "loss": 1.6626, + "step": 198 + }, + { + "epoch": 0.09670756894666505, + "grad_norm": 0.719813346862793, + "learning_rate": 8e-05, + "loss": 1.7327, + "step": 199 + }, + { + "epoch": 0.09719353662981411, + "grad_norm": 0.7477394342422485, + "learning_rate": 8e-05, + "loss": 1.7191, + "step": 200 + }, + { + "epoch": 0.09767950431296318, + "grad_norm": 0.7387209534645081, + "learning_rate": 8e-05, + "loss": 1.7389, + "step": 201 + }, + { + "epoch": 0.09816547199611225, + "grad_norm": 0.706491231918335, + "learning_rate": 8e-05, + "loss": 1.7395, + "step": 202 + }, + { + "epoch": 0.09865143967926134, + "grad_norm": 0.739989161491394, + "learning_rate": 8e-05, + "loss": 1.7539, + "step": 203 + }, + { + "epoch": 0.0991374073624104, + "grad_norm": 0.7250370979309082, + "learning_rate": 8e-05, + "loss": 1.7691, + "step": 204 + }, + { + "epoch": 0.09962337504555947, + "grad_norm": 0.7379734516143799, + "learning_rate": 8e-05, + "loss": 1.7048, + "step": 205 + }, + { + "epoch": 0.10010934272870854, + "grad_norm": 0.7315964698791504, + "learning_rate": 8e-05, + "loss": 1.734, + "step": 206 + }, + { + "epoch": 0.10059531041185761, + "grad_norm": 0.7972819209098816, + "learning_rate": 8e-05, + "loss": 1.6095, + "step": 207 + }, + { + "epoch": 0.10108127809500668, + "grad_norm": 0.721659779548645, + "learning_rate": 8e-05, + "loss": 1.7488, + "step": 208 + }, + { + "epoch": 0.10156724577815575, + "grad_norm": 0.72065269947052, + "learning_rate": 8e-05, + "loss": 1.7815, + "step": 209 + }, + { + "epoch": 0.10205321346130482, + "grad_norm": 0.7838714718818665, + "learning_rate": 8e-05, + "loss": 1.8119, + "step": 210 + }, + { + "epoch": 0.1025391811444539, + "grad_norm": 0.7384838461875916, + "learning_rate": 8e-05, + "loss": 1.7302, + "step": 211 + }, + { + "epoch": 0.10302514882760297, + "grad_norm": 0.776187539100647, + "learning_rate": 8e-05, + "loss": 1.8111, + "step": 212 + }, + { + "epoch": 0.10351111651075204, + "grad_norm": 0.7436544895172119, + "learning_rate": 8e-05, + "loss": 1.7778, + "step": 213 + }, + { + "epoch": 0.10399708419390111, + "grad_norm": 0.7787929177284241, + "learning_rate": 8e-05, + "loss": 1.7587, + "step": 214 + }, + { + "epoch": 0.10448305187705018, + "grad_norm": 0.7442957758903503, + "learning_rate": 8e-05, + "loss": 1.8277, + "step": 215 + }, + { + "epoch": 0.10496901956019924, + "grad_norm": 0.7331508994102478, + "learning_rate": 8e-05, + "loss": 1.7482, + "step": 216 + }, + { + "epoch": 0.10545498724334831, + "grad_norm": 0.7571154832839966, + "learning_rate": 8e-05, + "loss": 1.7545, + "step": 217 + }, + { + "epoch": 0.10594095492649738, + "grad_norm": 0.750484049320221, + "learning_rate": 8e-05, + "loss": 1.7816, + "step": 218 + }, + { + "epoch": 0.10642692260964647, + "grad_norm": 0.7651139497756958, + "learning_rate": 8e-05, + "loss": 1.6852, + "step": 219 + }, + { + "epoch": 0.10691289029279553, + "grad_norm": 0.7269699573516846, + "learning_rate": 8e-05, + "loss": 1.6331, + "step": 220 + }, + { + "epoch": 0.1073988579759446, + "grad_norm": 0.759168267250061, + "learning_rate": 8e-05, + "loss": 1.7688, + "step": 221 + }, + { + "epoch": 0.10788482565909367, + "grad_norm": 0.6969944834709167, + "learning_rate": 8e-05, + "loss": 1.7579, + "step": 222 + }, + { + "epoch": 0.10837079334224274, + "grad_norm": 0.7620792984962463, + "learning_rate": 8e-05, + "loss": 1.76, + "step": 223 + }, + { + "epoch": 0.10885676102539181, + "grad_norm": 0.708992600440979, + "learning_rate": 8e-05, + "loss": 1.719, + "step": 224 + }, + { + "epoch": 0.10934272870854088, + "grad_norm": 0.7534224390983582, + "learning_rate": 8e-05, + "loss": 1.699, + "step": 225 + }, + { + "epoch": 0.10982869639168995, + "grad_norm": 0.7195073366165161, + "learning_rate": 8e-05, + "loss": 1.674, + "step": 226 + }, + { + "epoch": 0.11031466407483902, + "grad_norm": 0.7106963396072388, + "learning_rate": 8e-05, + "loss": 1.7947, + "step": 227 + }, + { + "epoch": 0.1108006317579881, + "grad_norm": 0.7048214077949524, + "learning_rate": 8e-05, + "loss": 1.719, + "step": 228 + }, + { + "epoch": 0.11128659944113717, + "grad_norm": 0.7359198927879333, + "learning_rate": 8e-05, + "loss": 1.8299, + "step": 229 + }, + { + "epoch": 0.11177256712428624, + "grad_norm": 0.7068722248077393, + "learning_rate": 8e-05, + "loss": 1.8336, + "step": 230 + }, + { + "epoch": 0.1122585348074353, + "grad_norm": 0.6944065093994141, + "learning_rate": 8e-05, + "loss": 1.7053, + "step": 231 + }, + { + "epoch": 0.11274450249058438, + "grad_norm": 0.7156597375869751, + "learning_rate": 8e-05, + "loss": 1.7556, + "step": 232 + }, + { + "epoch": 0.11323047017373344, + "grad_norm": 0.7233269810676575, + "learning_rate": 8e-05, + "loss": 1.7028, + "step": 233 + }, + { + "epoch": 0.11371643785688251, + "grad_norm": 2.004643678665161, + "learning_rate": 8e-05, + "loss": 1.7929, + "step": 234 + }, + { + "epoch": 0.11420240554003158, + "grad_norm": 0.7343223690986633, + "learning_rate": 8e-05, + "loss": 1.7148, + "step": 235 + }, + { + "epoch": 0.11468837322318066, + "grad_norm": 0.7092347145080566, + "learning_rate": 8e-05, + "loss": 1.7046, + "step": 236 + }, + { + "epoch": 0.11517434090632973, + "grad_norm": 0.7329908609390259, + "learning_rate": 8e-05, + "loss": 1.7856, + "step": 237 + }, + { + "epoch": 0.1156603085894788, + "grad_norm": 0.7091159820556641, + "learning_rate": 8e-05, + "loss": 1.6764, + "step": 238 + }, + { + "epoch": 0.11614627627262787, + "grad_norm": 0.6997739672660828, + "learning_rate": 8e-05, + "loss": 1.662, + "step": 239 + }, + { + "epoch": 0.11663224395577694, + "grad_norm": 0.7721783518791199, + "learning_rate": 8e-05, + "loss": 1.7163, + "step": 240 + }, + { + "epoch": 0.11711821163892601, + "grad_norm": 0.7204678058624268, + "learning_rate": 8e-05, + "loss": 1.6845, + "step": 241 + }, + { + "epoch": 0.11760417932207508, + "grad_norm": 0.7557322382926941, + "learning_rate": 8e-05, + "loss": 1.8165, + "step": 242 + }, + { + "epoch": 0.11809014700522415, + "grad_norm": 0.7318572998046875, + "learning_rate": 8e-05, + "loss": 1.834, + "step": 243 + }, + { + "epoch": 0.11857611468837323, + "grad_norm": 0.7204866409301758, + "learning_rate": 8e-05, + "loss": 1.6916, + "step": 244 + }, + { + "epoch": 0.1190620823715223, + "grad_norm": 0.7328425645828247, + "learning_rate": 8e-05, + "loss": 1.7068, + "step": 245 + }, + { + "epoch": 0.11954805005467137, + "grad_norm": 0.733796238899231, + "learning_rate": 8e-05, + "loss": 1.7716, + "step": 246 + }, + { + "epoch": 0.12003401773782044, + "grad_norm": 0.7169679999351501, + "learning_rate": 8e-05, + "loss": 1.6219, + "step": 247 + }, + { + "epoch": 0.1205199854209695, + "grad_norm": 0.7298434972763062, + "learning_rate": 8e-05, + "loss": 1.7573, + "step": 248 + }, + { + "epoch": 0.12100595310411857, + "grad_norm": 0.709538459777832, + "learning_rate": 8e-05, + "loss": 1.6737, + "step": 249 + }, + { + "epoch": 0.12149192078726764, + "grad_norm": 0.7161252498626709, + "learning_rate": 8e-05, + "loss": 1.7395, + "step": 250 + }, + { + "epoch": 0.12197788847041671, + "grad_norm": 0.7367464303970337, + "learning_rate": 8e-05, + "loss": 1.7921, + "step": 251 + }, + { + "epoch": 0.12246385615356578, + "grad_norm": 0.7525370121002197, + "learning_rate": 8e-05, + "loss": 1.8733, + "step": 252 + }, + { + "epoch": 0.12294982383671486, + "grad_norm": 107.62161254882812, + "learning_rate": 8e-05, + "loss": 2.3949, + "step": 253 + }, + { + "epoch": 0.12343579151986393, + "grad_norm": 0.7206385135650635, + "learning_rate": 8e-05, + "loss": 1.7251, + "step": 254 + }, + { + "epoch": 0.123921759203013, + "grad_norm": 0.7572370767593384, + "learning_rate": 8e-05, + "loss": 1.7523, + "step": 255 + }, + { + "epoch": 0.12440772688616207, + "grad_norm": 0.7151662111282349, + "learning_rate": 8e-05, + "loss": 1.6784, + "step": 256 + }, + { + "epoch": 0.12489369456931114, + "grad_norm": 0.7240515947341919, + "learning_rate": 8e-05, + "loss": 1.726, + "step": 257 + }, + { + "epoch": 0.12537966225246022, + "grad_norm": 0.7299691438674927, + "learning_rate": 8e-05, + "loss": 1.6659, + "step": 258 + }, + { + "epoch": 0.1258656299356093, + "grad_norm": 0.7652246356010437, + "learning_rate": 8e-05, + "loss": 1.7918, + "step": 259 + }, + { + "epoch": 0.12635159761875836, + "grad_norm": 1.1573753356933594, + "learning_rate": 8e-05, + "loss": 1.7931, + "step": 260 + }, + { + "epoch": 0.12683756530190743, + "grad_norm": 0.7974875569343567, + "learning_rate": 8e-05, + "loss": 1.7741, + "step": 261 + }, + { + "epoch": 0.1273235329850565, + "grad_norm": 0.7178170084953308, + "learning_rate": 8e-05, + "loss": 1.8449, + "step": 262 + }, + { + "epoch": 0.12780950066820557, + "grad_norm": 0.743977427482605, + "learning_rate": 8e-05, + "loss": 1.6866, + "step": 263 + }, + { + "epoch": 0.12829546835135464, + "grad_norm": 0.7151938080787659, + "learning_rate": 8e-05, + "loss": 1.7498, + "step": 264 + }, + { + "epoch": 0.1287814360345037, + "grad_norm": 0.7639552354812622, + "learning_rate": 8e-05, + "loss": 1.7577, + "step": 265 + }, + { + "epoch": 0.12926740371765277, + "grad_norm": 1.4950189590454102, + "learning_rate": 8e-05, + "loss": 1.7232, + "step": 266 + }, + { + "epoch": 0.12975337140080184, + "grad_norm": 0.7332847118377686, + "learning_rate": 8e-05, + "loss": 1.7094, + "step": 267 + }, + { + "epoch": 0.1302393390839509, + "grad_norm": 1.2607755661010742, + "learning_rate": 8e-05, + "loss": 1.8076, + "step": 268 + }, + { + "epoch": 0.13072530676709998, + "grad_norm": 0.8469274044036865, + "learning_rate": 8e-05, + "loss": 1.8711, + "step": 269 + }, + { + "epoch": 0.13121127445024905, + "grad_norm": 23.890470504760742, + "learning_rate": 8e-05, + "loss": 1.8796, + "step": 270 + }, + { + "epoch": 0.13169724213339812, + "grad_norm": 0.890592098236084, + "learning_rate": 8e-05, + "loss": 1.7399, + "step": 271 + }, + { + "epoch": 0.1321832098165472, + "grad_norm": 0.7210285067558289, + "learning_rate": 8e-05, + "loss": 1.76, + "step": 272 + }, + { + "epoch": 0.13266917749969628, + "grad_norm": 4.838703632354736, + "learning_rate": 8e-05, + "loss": 1.8066, + "step": 273 + }, + { + "epoch": 0.13315514518284535, + "grad_norm": 0.9866505265235901, + "learning_rate": 8e-05, + "loss": 1.7026, + "step": 274 + }, + { + "epoch": 0.13364111286599442, + "grad_norm": 0.7707441449165344, + "learning_rate": 8e-05, + "loss": 1.7258, + "step": 275 + }, + { + "epoch": 0.1341270805491435, + "grad_norm": 0.8940787315368652, + "learning_rate": 8e-05, + "loss": 1.6558, + "step": 276 + }, + { + "epoch": 0.13461304823229256, + "grad_norm": 0.8925697803497314, + "learning_rate": 8e-05, + "loss": 1.7646, + "step": 277 + }, + { + "epoch": 0.13509901591544163, + "grad_norm": 0.8577701449394226, + "learning_rate": 8e-05, + "loss": 1.7418, + "step": 278 + }, + { + "epoch": 0.1355849835985907, + "grad_norm": 3.1491594314575195, + "learning_rate": 8e-05, + "loss": 1.7044, + "step": 279 + }, + { + "epoch": 0.13607095128173977, + "grad_norm": 0.8906698822975159, + "learning_rate": 8e-05, + "loss": 1.6898, + "step": 280 + }, + { + "epoch": 0.13655691896488883, + "grad_norm": 0.9891100525856018, + "learning_rate": 8e-05, + "loss": 1.81, + "step": 281 + }, + { + "epoch": 0.1370428866480379, + "grad_norm": 0.7962388396263123, + "learning_rate": 8e-05, + "loss": 1.6333, + "step": 282 + }, + { + "epoch": 0.13752885433118697, + "grad_norm": 0.8063424229621887, + "learning_rate": 8e-05, + "loss": 1.8258, + "step": 283 + }, + { + "epoch": 0.13801482201433604, + "grad_norm": 0.7605735063552856, + "learning_rate": 8e-05, + "loss": 1.6676, + "step": 284 + }, + { + "epoch": 0.1385007896974851, + "grad_norm": 0.9942009449005127, + "learning_rate": 8e-05, + "loss": 1.7106, + "step": 285 + }, + { + "epoch": 0.13898675738063418, + "grad_norm": 0.8328946232795715, + "learning_rate": 8e-05, + "loss": 1.7818, + "step": 286 + }, + { + "epoch": 0.13947272506378325, + "grad_norm": 0.7635605931282043, + "learning_rate": 8e-05, + "loss": 1.814, + "step": 287 + }, + { + "epoch": 0.13995869274693232, + "grad_norm": 1.255517840385437, + "learning_rate": 8e-05, + "loss": 1.8244, + "step": 288 + }, + { + "epoch": 0.14044466043008139, + "grad_norm": 0.7666721940040588, + "learning_rate": 8e-05, + "loss": 1.7657, + "step": 289 + }, + { + "epoch": 0.14093062811323048, + "grad_norm": 0.7664022445678711, + "learning_rate": 8e-05, + "loss": 1.8283, + "step": 290 + }, + { + "epoch": 0.14141659579637955, + "grad_norm": 0.7420341968536377, + "learning_rate": 8e-05, + "loss": 1.6567, + "step": 291 + }, + { + "epoch": 0.14190256347952862, + "grad_norm": 0.7334952354431152, + "learning_rate": 8e-05, + "loss": 1.7725, + "step": 292 + }, + { + "epoch": 0.1423885311626777, + "grad_norm": 7.276203632354736, + "learning_rate": 8e-05, + "loss": 1.7124, + "step": 293 + }, + { + "epoch": 0.14287449884582676, + "grad_norm": 0.8101209402084351, + "learning_rate": 8e-05, + "loss": 1.7844, + "step": 294 + }, + { + "epoch": 0.14336046652897583, + "grad_norm": 0.7334319949150085, + "learning_rate": 8e-05, + "loss": 1.7091, + "step": 295 + }, + { + "epoch": 0.1438464342121249, + "grad_norm": 0.7652103900909424, + "learning_rate": 8e-05, + "loss": 1.7839, + "step": 296 + }, + { + "epoch": 0.14433240189527397, + "grad_norm": 0.7974730730056763, + "learning_rate": 8e-05, + "loss": 1.8041, + "step": 297 + }, + { + "epoch": 0.14481836957842303, + "grad_norm": 0.8040671348571777, + "learning_rate": 8e-05, + "loss": 1.8061, + "step": 298 + }, + { + "epoch": 0.1453043372615721, + "grad_norm": 0.7175395488739014, + "learning_rate": 8e-05, + "loss": 1.6669, + "step": 299 + }, + { + "epoch": 0.14579030494472117, + "grad_norm": 0.7443219423294067, + "learning_rate": 8e-05, + "loss": 1.6525, + "step": 300 + }, + { + "epoch": 0.14627627262787024, + "grad_norm": 0.7299359440803528, + "learning_rate": 8e-05, + "loss": 1.7975, + "step": 301 + }, + { + "epoch": 0.1467622403110193, + "grad_norm": 0.7135804295539856, + "learning_rate": 8e-05, + "loss": 1.7, + "step": 302 + }, + { + "epoch": 0.14724820799416838, + "grad_norm": 0.7725481390953064, + "learning_rate": 8e-05, + "loss": 1.6892, + "step": 303 + }, + { + "epoch": 0.14773417567731745, + "grad_norm": 0.7773021459579468, + "learning_rate": 8e-05, + "loss": 1.6862, + "step": 304 + }, + { + "epoch": 0.14822014336046652, + "grad_norm": 0.7179283499717712, + "learning_rate": 8e-05, + "loss": 1.7691, + "step": 305 + }, + { + "epoch": 0.1487061110436156, + "grad_norm": 0.70677250623703, + "learning_rate": 8e-05, + "loss": 1.7237, + "step": 306 + }, + { + "epoch": 0.14919207872676468, + "grad_norm": 0.7373878955841064, + "learning_rate": 8e-05, + "loss": 1.6954, + "step": 307 + }, + { + "epoch": 0.14967804640991375, + "grad_norm": 0.7277619242668152, + "learning_rate": 8e-05, + "loss": 1.7182, + "step": 308 + }, + { + "epoch": 0.15016401409306282, + "grad_norm": 0.7144182324409485, + "learning_rate": 8e-05, + "loss": 1.747, + "step": 309 + }, + { + "epoch": 0.1506499817762119, + "grad_norm": 0.7347834706306458, + "learning_rate": 8e-05, + "loss": 1.8236, + "step": 310 + }, + { + "epoch": 0.15113594945936096, + "grad_norm": 0.7458093166351318, + "learning_rate": 8e-05, + "loss": 1.6981, + "step": 311 + }, + { + "epoch": 0.15162191714251003, + "grad_norm": 0.7428991198539734, + "learning_rate": 8e-05, + "loss": 1.7366, + "step": 312 + }, + { + "epoch": 0.1521078848256591, + "grad_norm": 0.8002575635910034, + "learning_rate": 8e-05, + "loss": 1.7735, + "step": 313 + }, + { + "epoch": 0.15259385250880816, + "grad_norm": 0.7258359789848328, + "learning_rate": 8e-05, + "loss": 1.7941, + "step": 314 + }, + { + "epoch": 0.15307982019195723, + "grad_norm": 0.7355910539627075, + "learning_rate": 8e-05, + "loss": 1.7213, + "step": 315 + }, + { + "epoch": 0.1535657878751063, + "grad_norm": 0.7196224331855774, + "learning_rate": 8e-05, + "loss": 1.7162, + "step": 316 + }, + { + "epoch": 0.15405175555825537, + "grad_norm": 0.749587893486023, + "learning_rate": 8e-05, + "loss": 1.7576, + "step": 317 + }, + { + "epoch": 0.15453772324140444, + "grad_norm": 0.692478597164154, + "learning_rate": 8e-05, + "loss": 1.6699, + "step": 318 + }, + { + "epoch": 0.1550236909245535, + "grad_norm": 0.6896519064903259, + "learning_rate": 8e-05, + "loss": 1.7547, + "step": 319 + }, + { + "epoch": 0.15550965860770258, + "grad_norm": 0.7503851652145386, + "learning_rate": 8e-05, + "loss": 1.8223, + "step": 320 + }, + { + "epoch": 0.15599562629085165, + "grad_norm": 0.70699542760849, + "learning_rate": 8e-05, + "loss": 1.7128, + "step": 321 + }, + { + "epoch": 0.15648159397400072, + "grad_norm": 0.7186034321784973, + "learning_rate": 8e-05, + "loss": 1.6912, + "step": 322 + }, + { + "epoch": 0.1569675616571498, + "grad_norm": 0.7471842169761658, + "learning_rate": 8e-05, + "loss": 1.8231, + "step": 323 + }, + { + "epoch": 0.15745352934029888, + "grad_norm": 0.735959529876709, + "learning_rate": 8e-05, + "loss": 1.7811, + "step": 324 + }, + { + "epoch": 0.15793949702344795, + "grad_norm": 0.7154443264007568, + "learning_rate": 8e-05, + "loss": 1.7168, + "step": 325 + }, + { + "epoch": 0.15842546470659702, + "grad_norm": 0.7040227055549622, + "learning_rate": 8e-05, + "loss": 1.6931, + "step": 326 + }, + { + "epoch": 0.1589114323897461, + "grad_norm": 0.7132288217544556, + "learning_rate": 8e-05, + "loss": 1.7103, + "step": 327 + }, + { + "epoch": 0.15939740007289516, + "grad_norm": 0.7234110236167908, + "learning_rate": 8e-05, + "loss": 1.8161, + "step": 328 + }, + { + "epoch": 0.15988336775604423, + "grad_norm": 0.7025232911109924, + "learning_rate": 8e-05, + "loss": 1.7208, + "step": 329 + }, + { + "epoch": 0.1603693354391933, + "grad_norm": 0.7414253950119019, + "learning_rate": 8e-05, + "loss": 1.7837, + "step": 330 + }, + { + "epoch": 0.16085530312234236, + "grad_norm": 0.7441409826278687, + "learning_rate": 8e-05, + "loss": 1.8675, + "step": 331 + }, + { + "epoch": 0.16134127080549143, + "grad_norm": 0.6885921955108643, + "learning_rate": 8e-05, + "loss": 1.7308, + "step": 332 + }, + { + "epoch": 0.1618272384886405, + "grad_norm": 0.7032135128974915, + "learning_rate": 8e-05, + "loss": 1.7341, + "step": 333 + }, + { + "epoch": 0.16231320617178957, + "grad_norm": 0.7779133915901184, + "learning_rate": 8e-05, + "loss": 1.7767, + "step": 334 + }, + { + "epoch": 0.16279917385493864, + "grad_norm": 0.7075231671333313, + "learning_rate": 8e-05, + "loss": 1.7358, + "step": 335 + }, + { + "epoch": 0.1632851415380877, + "grad_norm": 0.7046375274658203, + "learning_rate": 8e-05, + "loss": 1.7414, + "step": 336 + }, + { + "epoch": 0.16377110922123678, + "grad_norm": 0.706058144569397, + "learning_rate": 8e-05, + "loss": 1.6162, + "step": 337 + }, + { + "epoch": 0.16425707690438585, + "grad_norm": 0.7058039903640747, + "learning_rate": 8e-05, + "loss": 1.7132, + "step": 338 + }, + { + "epoch": 0.16474304458753494, + "grad_norm": 0.7231515645980835, + "learning_rate": 8e-05, + "loss": 1.8653, + "step": 339 + }, + { + "epoch": 0.165229012270684, + "grad_norm": 0.7352226972579956, + "learning_rate": 8e-05, + "loss": 1.8586, + "step": 340 + }, + { + "epoch": 0.16571497995383308, + "grad_norm": 0.7225251197814941, + "learning_rate": 8e-05, + "loss": 1.7833, + "step": 341 + }, + { + "epoch": 0.16620094763698215, + "grad_norm": 0.695045530796051, + "learning_rate": 8e-05, + "loss": 1.7219, + "step": 342 + }, + { + "epoch": 0.16668691532013122, + "grad_norm": 0.8524265885353088, + "learning_rate": 8e-05, + "loss": 1.6984, + "step": 343 + }, + { + "epoch": 0.1671728830032803, + "grad_norm": 0.7121042609214783, + "learning_rate": 8e-05, + "loss": 1.6768, + "step": 344 + }, + { + "epoch": 0.16765885068642936, + "grad_norm": 0.7287912964820862, + "learning_rate": 8e-05, + "loss": 1.8547, + "step": 345 + }, + { + "epoch": 0.16814481836957842, + "grad_norm": 0.7140096426010132, + "learning_rate": 8e-05, + "loss": 1.714, + "step": 346 + }, + { + "epoch": 0.1686307860527275, + "grad_norm": 0.7194855213165283, + "learning_rate": 8e-05, + "loss": 1.716, + "step": 347 + }, + { + "epoch": 0.16911675373587656, + "grad_norm": 0.6909961700439453, + "learning_rate": 8e-05, + "loss": 1.6747, + "step": 348 + }, + { + "epoch": 0.16960272141902563, + "grad_norm": 0.7281751036643982, + "learning_rate": 8e-05, + "loss": 1.8061, + "step": 349 + }, + { + "epoch": 0.1700886891021747, + "grad_norm": 0.6757460832595825, + "learning_rate": 8e-05, + "loss": 1.7147, + "step": 350 + }, + { + "epoch": 0.17057465678532377, + "grad_norm": 0.6912110447883606, + "learning_rate": 8e-05, + "loss": 1.6823, + "step": 351 + }, + { + "epoch": 0.17106062446847284, + "grad_norm": 0.7167717814445496, + "learning_rate": 8e-05, + "loss": 1.7973, + "step": 352 + }, + { + "epoch": 0.1715465921516219, + "grad_norm": 0.7021996974945068, + "learning_rate": 8e-05, + "loss": 1.5872, + "step": 353 + }, + { + "epoch": 0.17203255983477098, + "grad_norm": 0.7312988042831421, + "learning_rate": 8e-05, + "loss": 1.7814, + "step": 354 + }, + { + "epoch": 0.17251852751792005, + "grad_norm": 0.7231782078742981, + "learning_rate": 8e-05, + "loss": 1.7581, + "step": 355 + }, + { + "epoch": 0.17300449520106914, + "grad_norm": 0.7535229325294495, + "learning_rate": 8e-05, + "loss": 1.7441, + "step": 356 + }, + { + "epoch": 0.1734904628842182, + "grad_norm": 0.7396194338798523, + "learning_rate": 8e-05, + "loss": 1.7058, + "step": 357 + }, + { + "epoch": 0.17397643056736728, + "grad_norm": 0.7050851583480835, + "learning_rate": 8e-05, + "loss": 1.7296, + "step": 358 + }, + { + "epoch": 0.17446239825051635, + "grad_norm": 0.7502471804618835, + "learning_rate": 8e-05, + "loss": 1.7816, + "step": 359 + }, + { + "epoch": 0.17494836593366542, + "grad_norm": 0.6805384159088135, + "learning_rate": 8e-05, + "loss": 1.6441, + "step": 360 + }, + { + "epoch": 0.1754343336168145, + "grad_norm": 0.7362212538719177, + "learning_rate": 8e-05, + "loss": 1.7864, + "step": 361 + }, + { + "epoch": 0.17592030129996356, + "grad_norm": 0.6896436214447021, + "learning_rate": 8e-05, + "loss": 1.7107, + "step": 362 + }, + { + "epoch": 0.17640626898311262, + "grad_norm": 0.6927011609077454, + "learning_rate": 8e-05, + "loss": 1.7333, + "step": 363 + }, + { + "epoch": 0.1768922366662617, + "grad_norm": 0.6986691951751709, + "learning_rate": 8e-05, + "loss": 1.7215, + "step": 364 + }, + { + "epoch": 0.17737820434941076, + "grad_norm": 0.7191731333732605, + "learning_rate": 8e-05, + "loss": 1.7958, + "step": 365 + }, + { + "epoch": 0.17786417203255983, + "grad_norm": 0.6927951574325562, + "learning_rate": 8e-05, + "loss": 1.7467, + "step": 366 + }, + { + "epoch": 0.1783501397157089, + "grad_norm": 0.7061179280281067, + "learning_rate": 8e-05, + "loss": 1.7155, + "step": 367 + }, + { + "epoch": 0.17883610739885797, + "grad_norm": 0.7056461572647095, + "learning_rate": 8e-05, + "loss": 1.6537, + "step": 368 + }, + { + "epoch": 0.17932207508200704, + "grad_norm": 0.7132648825645447, + "learning_rate": 8e-05, + "loss": 1.7698, + "step": 369 + }, + { + "epoch": 0.1798080427651561, + "grad_norm": 0.7203075885772705, + "learning_rate": 8e-05, + "loss": 1.7617, + "step": 370 + }, + { + "epoch": 0.18029401044830518, + "grad_norm": 0.7411680221557617, + "learning_rate": 8e-05, + "loss": 1.739, + "step": 371 + }, + { + "epoch": 0.18077997813145427, + "grad_norm": 0.7177389860153198, + "learning_rate": 8e-05, + "loss": 1.7428, + "step": 372 + }, + { + "epoch": 0.18126594581460334, + "grad_norm": 0.6982012987136841, + "learning_rate": 8e-05, + "loss": 1.761, + "step": 373 + }, + { + "epoch": 0.1817519134977524, + "grad_norm": 0.7072455286979675, + "learning_rate": 8e-05, + "loss": 1.7343, + "step": 374 + }, + { + "epoch": 0.18223788118090148, + "grad_norm": 0.7454031109809875, + "learning_rate": 8e-05, + "loss": 1.6886, + "step": 375 + }, + { + "epoch": 0.18272384886405055, + "grad_norm": 1.4396610260009766, + "learning_rate": 8e-05, + "loss": 1.7045, + "step": 376 + }, + { + "epoch": 0.18320981654719962, + "grad_norm": 0.718212366104126, + "learning_rate": 8e-05, + "loss": 1.6866, + "step": 377 + }, + { + "epoch": 0.18369578423034869, + "grad_norm": 0.72218257188797, + "learning_rate": 8e-05, + "loss": 1.723, + "step": 378 + }, + { + "epoch": 0.18418175191349775, + "grad_norm": 0.7068594694137573, + "learning_rate": 8e-05, + "loss": 1.7095, + "step": 379 + }, + { + "epoch": 0.18466771959664682, + "grad_norm": 0.671427309513092, + "learning_rate": 8e-05, + "loss": 1.6764, + "step": 380 + }, + { + "epoch": 0.1851536872797959, + "grad_norm": 0.7173644304275513, + "learning_rate": 8e-05, + "loss": 1.7984, + "step": 381 + }, + { + "epoch": 0.18563965496294496, + "grad_norm": 0.7313031554222107, + "learning_rate": 8e-05, + "loss": 1.8175, + "step": 382 + }, + { + "epoch": 0.18612562264609403, + "grad_norm": 0.6869568228721619, + "learning_rate": 8e-05, + "loss": 1.7298, + "step": 383 + }, + { + "epoch": 0.1866115903292431, + "grad_norm": 0.7215043902397156, + "learning_rate": 8e-05, + "loss": 1.7022, + "step": 384 + }, + { + "epoch": 0.18709755801239217, + "grad_norm": 7.733117580413818, + "learning_rate": 8e-05, + "loss": 1.6847, + "step": 385 + }, + { + "epoch": 0.18758352569554124, + "grad_norm": 0.7839037179946899, + "learning_rate": 8e-05, + "loss": 1.7405, + "step": 386 + }, + { + "epoch": 0.1880694933786903, + "grad_norm": 0.7257310748100281, + "learning_rate": 8e-05, + "loss": 1.6304, + "step": 387 + }, + { + "epoch": 0.18855546106183937, + "grad_norm": 0.7267897725105286, + "learning_rate": 8e-05, + "loss": 1.6344, + "step": 388 + }, + { + "epoch": 0.18904142874498847, + "grad_norm": 0.7415399551391602, + "learning_rate": 8e-05, + "loss": 1.7804, + "step": 389 + }, + { + "epoch": 0.18952739642813754, + "grad_norm": 0.7067776918411255, + "learning_rate": 8e-05, + "loss": 1.7362, + "step": 390 + }, + { + "epoch": 0.1900133641112866, + "grad_norm": 0.7052979469299316, + "learning_rate": 8e-05, + "loss": 1.6074, + "step": 391 + }, + { + "epoch": 0.19049933179443568, + "grad_norm": 0.7144705057144165, + "learning_rate": 8e-05, + "loss": 1.6859, + "step": 392 + }, + { + "epoch": 0.19098529947758475, + "grad_norm": 0.7987439632415771, + "learning_rate": 8e-05, + "loss": 1.8387, + "step": 393 + }, + { + "epoch": 0.19147126716073382, + "grad_norm": 0.6927505731582642, + "learning_rate": 8e-05, + "loss": 1.6787, + "step": 394 + }, + { + "epoch": 0.19195723484388288, + "grad_norm": 0.7275456786155701, + "learning_rate": 8e-05, + "loss": 1.7561, + "step": 395 + }, + { + "epoch": 0.19244320252703195, + "grad_norm": 0.7200303673744202, + "learning_rate": 8e-05, + "loss": 1.8142, + "step": 396 + }, + { + "epoch": 0.19292917021018102, + "grad_norm": 0.76529461145401, + "learning_rate": 8e-05, + "loss": 1.8003, + "step": 397 + }, + { + "epoch": 0.1934151378933301, + "grad_norm": 0.7350556254386902, + "learning_rate": 8e-05, + "loss": 1.7114, + "step": 398 + }, + { + "epoch": 0.19390110557647916, + "grad_norm": 0.8515435457229614, + "learning_rate": 8e-05, + "loss": 1.7445, + "step": 399 + }, + { + "epoch": 0.19438707325962823, + "grad_norm": 1.9147905111312866, + "learning_rate": 8e-05, + "loss": 1.6894, + "step": 400 + }, + { + "epoch": 0.1948730409427773, + "grad_norm": 0.728226363658905, + "learning_rate": 8e-05, + "loss": 1.6702, + "step": 401 + }, + { + "epoch": 0.19535900862592637, + "grad_norm": 0.70070481300354, + "learning_rate": 8e-05, + "loss": 1.731, + "step": 402 + }, + { + "epoch": 0.19584497630907544, + "grad_norm": 1.173539161682129, + "learning_rate": 8e-05, + "loss": 1.7196, + "step": 403 + }, + { + "epoch": 0.1963309439922245, + "grad_norm": 0.7202131748199463, + "learning_rate": 8e-05, + "loss": 1.6708, + "step": 404 + }, + { + "epoch": 0.1968169116753736, + "grad_norm": 0.736707866191864, + "learning_rate": 8e-05, + "loss": 1.667, + "step": 405 + }, + { + "epoch": 0.19730287935852267, + "grad_norm": 0.7264196276664734, + "learning_rate": 8e-05, + "loss": 1.8187, + "step": 406 + }, + { + "epoch": 0.19778884704167174, + "grad_norm": 0.7067548036575317, + "learning_rate": 8e-05, + "loss": 1.7224, + "step": 407 + }, + { + "epoch": 0.1982748147248208, + "grad_norm": 0.6923950910568237, + "learning_rate": 8e-05, + "loss": 1.5963, + "step": 408 + }, + { + "epoch": 0.19876078240796988, + "grad_norm": 0.7020213603973389, + "learning_rate": 8e-05, + "loss": 1.6833, + "step": 409 + }, + { + "epoch": 0.19924675009111895, + "grad_norm": 0.6964422464370728, + "learning_rate": 8e-05, + "loss": 1.7069, + "step": 410 + }, + { + "epoch": 0.19973271777426801, + "grad_norm": 0.7008177042007446, + "learning_rate": 8e-05, + "loss": 1.7331, + "step": 411 + }, + { + "epoch": 0.20021868545741708, + "grad_norm": 0.7455174326896667, + "learning_rate": 8e-05, + "loss": 1.7389, + "step": 412 + }, + { + "epoch": 0.20070465314056615, + "grad_norm": 0.7137875556945801, + "learning_rate": 8e-05, + "loss": 1.6892, + "step": 413 + }, + { + "epoch": 0.20119062082371522, + "grad_norm": 0.7967577576637268, + "learning_rate": 8e-05, + "loss": 1.7151, + "step": 414 + }, + { + "epoch": 0.2016765885068643, + "grad_norm": 0.7129815816879272, + "learning_rate": 8e-05, + "loss": 1.691, + "step": 415 + }, + { + "epoch": 0.20216255619001336, + "grad_norm": 0.7160812616348267, + "learning_rate": 8e-05, + "loss": 1.8106, + "step": 416 + }, + { + "epoch": 0.20264852387316243, + "grad_norm": 0.7563639879226685, + "learning_rate": 8e-05, + "loss": 1.7355, + "step": 417 + }, + { + "epoch": 0.2031344915563115, + "grad_norm": 0.721718430519104, + "learning_rate": 8e-05, + "loss": 1.6833, + "step": 418 + }, + { + "epoch": 0.20362045923946057, + "grad_norm": 0.75996994972229, + "learning_rate": 8e-05, + "loss": 1.7793, + "step": 419 + }, + { + "epoch": 0.20410642692260964, + "grad_norm": 0.7527758479118347, + "learning_rate": 8e-05, + "loss": 1.8202, + "step": 420 + }, + { + "epoch": 0.2045923946057587, + "grad_norm": 0.7160975337028503, + "learning_rate": 8e-05, + "loss": 1.7051, + "step": 421 + }, + { + "epoch": 0.2050783622889078, + "grad_norm": 0.6943715810775757, + "learning_rate": 8e-05, + "loss": 1.6948, + "step": 422 + }, + { + "epoch": 0.20556432997205687, + "grad_norm": 0.734963059425354, + "learning_rate": 8e-05, + "loss": 1.7829, + "step": 423 + }, + { + "epoch": 0.20605029765520594, + "grad_norm": 0.6912250518798828, + "learning_rate": 8e-05, + "loss": 1.5947, + "step": 424 + }, + { + "epoch": 0.206536265338355, + "grad_norm": 0.7323968410491943, + "learning_rate": 8e-05, + "loss": 1.7622, + "step": 425 + }, + { + "epoch": 0.20702223302150408, + "grad_norm": 0.7110946774482727, + "learning_rate": 8e-05, + "loss": 1.74, + "step": 426 + }, + { + "epoch": 0.20750820070465315, + "grad_norm": 0.6980271935462952, + "learning_rate": 8e-05, + "loss": 1.7103, + "step": 427 + }, + { + "epoch": 0.20799416838780221, + "grad_norm": 0.6758553385734558, + "learning_rate": 8e-05, + "loss": 1.6979, + "step": 428 + }, + { + "epoch": 0.20848013607095128, + "grad_norm": 0.7173061966896057, + "learning_rate": 8e-05, + "loss": 1.655, + "step": 429 + }, + { + "epoch": 0.20896610375410035, + "grad_norm": 0.7417454719543457, + "learning_rate": 8e-05, + "loss": 1.691, + "step": 430 + }, + { + "epoch": 0.20945207143724942, + "grad_norm": 0.7320432662963867, + "learning_rate": 8e-05, + "loss": 1.6892, + "step": 431 + }, + { + "epoch": 0.2099380391203985, + "grad_norm": 0.7141425609588623, + "learning_rate": 8e-05, + "loss": 1.761, + "step": 432 + }, + { + "epoch": 0.21042400680354756, + "grad_norm": 0.7038617134094238, + "learning_rate": 8e-05, + "loss": 1.6483, + "step": 433 + }, + { + "epoch": 0.21090997448669663, + "grad_norm": 0.7042442560195923, + "learning_rate": 8e-05, + "loss": 1.6706, + "step": 434 + }, + { + "epoch": 0.2113959421698457, + "grad_norm": 0.7139825224876404, + "learning_rate": 8e-05, + "loss": 1.8819, + "step": 435 + }, + { + "epoch": 0.21188190985299477, + "grad_norm": 0.7329289317131042, + "learning_rate": 8e-05, + "loss": 1.707, + "step": 436 + }, + { + "epoch": 0.21236787753614383, + "grad_norm": 0.7252111434936523, + "learning_rate": 8e-05, + "loss": 1.795, + "step": 437 + }, + { + "epoch": 0.21285384521929293, + "grad_norm": 0.702537477016449, + "learning_rate": 8e-05, + "loss": 1.7212, + "step": 438 + }, + { + "epoch": 0.213339812902442, + "grad_norm": 0.6974433064460754, + "learning_rate": 8e-05, + "loss": 1.6236, + "step": 439 + }, + { + "epoch": 0.21382578058559107, + "grad_norm": 0.6817081570625305, + "learning_rate": 8e-05, + "loss": 1.7179, + "step": 440 + }, + { + "epoch": 0.21431174826874014, + "grad_norm": 0.6872859001159668, + "learning_rate": 8e-05, + "loss": 1.6819, + "step": 441 + }, + { + "epoch": 0.2147977159518892, + "grad_norm": 0.6921105980873108, + "learning_rate": 8e-05, + "loss": 1.6871, + "step": 442 + }, + { + "epoch": 0.21528368363503828, + "grad_norm": 0.711101233959198, + "learning_rate": 8e-05, + "loss": 1.7059, + "step": 443 + }, + { + "epoch": 0.21576965131818734, + "grad_norm": 0.7590940594673157, + "learning_rate": 8e-05, + "loss": 1.7404, + "step": 444 + }, + { + "epoch": 0.2162556190013364, + "grad_norm": 0.6970642805099487, + "learning_rate": 8e-05, + "loss": 1.6561, + "step": 445 + }, + { + "epoch": 0.21674158668448548, + "grad_norm": 0.7204115390777588, + "learning_rate": 8e-05, + "loss": 1.7421, + "step": 446 + }, + { + "epoch": 0.21722755436763455, + "grad_norm": 0.7247830033302307, + "learning_rate": 8e-05, + "loss": 1.7893, + "step": 447 + }, + { + "epoch": 0.21771352205078362, + "grad_norm": 0.6967059373855591, + "learning_rate": 8e-05, + "loss": 1.6915, + "step": 448 + }, + { + "epoch": 0.2181994897339327, + "grad_norm": 0.7237229943275452, + "learning_rate": 8e-05, + "loss": 1.7392, + "step": 449 + }, + { + "epoch": 0.21868545741708176, + "grad_norm": 0.701810359954834, + "learning_rate": 8e-05, + "loss": 1.6817, + "step": 450 + }, + { + "epoch": 0.21917142510023083, + "grad_norm": 1.5513955354690552, + "learning_rate": 8e-05, + "loss": 1.7033, + "step": 451 + }, + { + "epoch": 0.2196573927833799, + "grad_norm": 0.6946969032287598, + "learning_rate": 8e-05, + "loss": 1.7659, + "step": 452 + }, + { + "epoch": 0.22014336046652896, + "grad_norm": 0.7080284357070923, + "learning_rate": 8e-05, + "loss": 1.6997, + "step": 453 + }, + { + "epoch": 0.22062932814967803, + "grad_norm": 0.7313497066497803, + "learning_rate": 8e-05, + "loss": 1.774, + "step": 454 + }, + { + "epoch": 0.22111529583282713, + "grad_norm": 0.7222405672073364, + "learning_rate": 8e-05, + "loss": 1.7694, + "step": 455 + }, + { + "epoch": 0.2216012635159762, + "grad_norm": 0.7030674815177917, + "learning_rate": 8e-05, + "loss": 1.7607, + "step": 456 + }, + { + "epoch": 0.22208723119912527, + "grad_norm": 0.7265918254852295, + "learning_rate": 8e-05, + "loss": 1.6971, + "step": 457 + }, + { + "epoch": 0.22257319888227434, + "grad_norm": 0.6983145475387573, + "learning_rate": 8e-05, + "loss": 1.7995, + "step": 458 + }, + { + "epoch": 0.2230591665654234, + "grad_norm": 0.7484574913978577, + "learning_rate": 8e-05, + "loss": 1.7649, + "step": 459 + }, + { + "epoch": 0.22354513424857247, + "grad_norm": 0.7329131960868835, + "learning_rate": 8e-05, + "loss": 1.7882, + "step": 460 + }, + { + "epoch": 0.22403110193172154, + "grad_norm": 0.7029368877410889, + "learning_rate": 8e-05, + "loss": 1.7836, + "step": 461 + }, + { + "epoch": 0.2245170696148706, + "grad_norm": 0.6968295574188232, + "learning_rate": 8e-05, + "loss": 1.7168, + "step": 462 + }, + { + "epoch": 0.22500303729801968, + "grad_norm": 0.7136850357055664, + "learning_rate": 8e-05, + "loss": 1.7984, + "step": 463 + }, + { + "epoch": 0.22548900498116875, + "grad_norm": 0.683163583278656, + "learning_rate": 8e-05, + "loss": 1.693, + "step": 464 + }, + { + "epoch": 0.22597497266431782, + "grad_norm": 0.7015848755836487, + "learning_rate": 8e-05, + "loss": 1.7696, + "step": 465 + }, + { + "epoch": 0.2264609403474669, + "grad_norm": 0.7096793055534363, + "learning_rate": 8e-05, + "loss": 1.7443, + "step": 466 + }, + { + "epoch": 0.22694690803061596, + "grad_norm": 0.6917792558670044, + "learning_rate": 8e-05, + "loss": 1.5948, + "step": 467 + }, + { + "epoch": 0.22743287571376503, + "grad_norm": 0.6934563517570496, + "learning_rate": 8e-05, + "loss": 1.705, + "step": 468 + }, + { + "epoch": 0.2279188433969141, + "grad_norm": 0.6998134255409241, + "learning_rate": 8e-05, + "loss": 1.7117, + "step": 469 + }, + { + "epoch": 0.22840481108006316, + "grad_norm": 0.7344012260437012, + "learning_rate": 8e-05, + "loss": 1.8588, + "step": 470 + }, + { + "epoch": 0.22889077876321223, + "grad_norm": 0.6837858557701111, + "learning_rate": 8e-05, + "loss": 1.651, + "step": 471 + }, + { + "epoch": 0.22937674644636133, + "grad_norm": 0.7158222794532776, + "learning_rate": 8e-05, + "loss": 1.7681, + "step": 472 + }, + { + "epoch": 0.2298627141295104, + "grad_norm": 0.7105070948600769, + "learning_rate": 8e-05, + "loss": 1.6895, + "step": 473 + }, + { + "epoch": 0.23034868181265947, + "grad_norm": 0.7316089272499084, + "learning_rate": 8e-05, + "loss": 1.7805, + "step": 474 + }, + { + "epoch": 0.23083464949580854, + "grad_norm": 0.6881155371665955, + "learning_rate": 8e-05, + "loss": 1.7601, + "step": 475 + }, + { + "epoch": 0.2313206171789576, + "grad_norm": 0.7245110273361206, + "learning_rate": 8e-05, + "loss": 1.7934, + "step": 476 + }, + { + "epoch": 0.23180658486210667, + "grad_norm": 0.689852237701416, + "learning_rate": 8e-05, + "loss": 1.7212, + "step": 477 + }, + { + "epoch": 0.23229255254525574, + "grad_norm": 0.8751168251037598, + "learning_rate": 8e-05, + "loss": 1.7905, + "step": 478 + }, + { + "epoch": 0.2327785202284048, + "grad_norm": 0.7239623069763184, + "learning_rate": 8e-05, + "loss": 1.8312, + "step": 479 + }, + { + "epoch": 0.23326448791155388, + "grad_norm": 0.6992548108100891, + "learning_rate": 8e-05, + "loss": 1.7071, + "step": 480 + }, + { + "epoch": 0.23375045559470295, + "grad_norm": 0.6987637281417847, + "learning_rate": 8e-05, + "loss": 1.686, + "step": 481 + }, + { + "epoch": 0.23423642327785202, + "grad_norm": 0.7247014045715332, + "learning_rate": 8e-05, + "loss": 1.7061, + "step": 482 + }, + { + "epoch": 0.2347223909610011, + "grad_norm": 0.6816551685333252, + "learning_rate": 8e-05, + "loss": 1.5654, + "step": 483 + }, + { + "epoch": 0.23520835864415016, + "grad_norm": 0.7179449200630188, + "learning_rate": 8e-05, + "loss": 1.9025, + "step": 484 + }, + { + "epoch": 0.23569432632729923, + "grad_norm": 0.7383981347084045, + "learning_rate": 8e-05, + "loss": 1.7413, + "step": 485 + }, + { + "epoch": 0.2361802940104483, + "grad_norm": 0.7060659527778625, + "learning_rate": 8e-05, + "loss": 1.6927, + "step": 486 + }, + { + "epoch": 0.23666626169359736, + "grad_norm": 0.6815193891525269, + "learning_rate": 8e-05, + "loss": 1.7446, + "step": 487 + }, + { + "epoch": 0.23715222937674646, + "grad_norm": 0.6914201974868774, + "learning_rate": 8e-05, + "loss": 1.6724, + "step": 488 + }, + { + "epoch": 0.23763819705989553, + "grad_norm": 0.722079873085022, + "learning_rate": 8e-05, + "loss": 1.7868, + "step": 489 + }, + { + "epoch": 0.2381241647430446, + "grad_norm": 0.70040363073349, + "learning_rate": 8e-05, + "loss": 1.7564, + "step": 490 + }, + { + "epoch": 0.23861013242619367, + "grad_norm": 0.7107282280921936, + "learning_rate": 8e-05, + "loss": 1.684, + "step": 491 + }, + { + "epoch": 0.23909610010934274, + "grad_norm": 0.6916898488998413, + "learning_rate": 8e-05, + "loss": 1.6996, + "step": 492 + }, + { + "epoch": 0.2395820677924918, + "grad_norm": 0.7284011840820312, + "learning_rate": 8e-05, + "loss": 1.8056, + "step": 493 + }, + { + "epoch": 0.24006803547564087, + "grad_norm": 0.7089860439300537, + "learning_rate": 8e-05, + "loss": 1.7047, + "step": 494 + }, + { + "epoch": 0.24055400315878994, + "grad_norm": 0.6985988020896912, + "learning_rate": 8e-05, + "loss": 1.7654, + "step": 495 + }, + { + "epoch": 0.241039970841939, + "grad_norm": 0.6758917570114136, + "learning_rate": 8e-05, + "loss": 1.6573, + "step": 496 + }, + { + "epoch": 0.24152593852508808, + "grad_norm": 0.693466305732727, + "learning_rate": 8e-05, + "loss": 1.6511, + "step": 497 + }, + { + "epoch": 0.24201190620823715, + "grad_norm": 0.736146867275238, + "learning_rate": 8e-05, + "loss": 1.703, + "step": 498 + }, + { + "epoch": 0.24249787389138622, + "grad_norm": 0.7013412714004517, + "learning_rate": 8e-05, + "loss": 1.6233, + "step": 499 + }, + { + "epoch": 0.2429838415745353, + "grad_norm": 0.6862726211547852, + "learning_rate": 8e-05, + "loss": 1.6619, + "step": 500 + }, + { + "epoch": 0.24346980925768436, + "grad_norm": 0.7250792980194092, + "learning_rate": 8e-05, + "loss": 1.7591, + "step": 501 + }, + { + "epoch": 0.24395577694083342, + "grad_norm": 0.6944916248321533, + "learning_rate": 8e-05, + "loss": 1.7817, + "step": 502 + }, + { + "epoch": 0.2444417446239825, + "grad_norm": 0.6999439597129822, + "learning_rate": 8e-05, + "loss": 1.7159, + "step": 503 + }, + { + "epoch": 0.24492771230713156, + "grad_norm": 0.6603913903236389, + "learning_rate": 8e-05, + "loss": 1.6739, + "step": 504 + }, + { + "epoch": 0.24541367999028066, + "grad_norm": 0.7047970294952393, + "learning_rate": 8e-05, + "loss": 1.6637, + "step": 505 + }, + { + "epoch": 0.24589964767342973, + "grad_norm": 0.7362136840820312, + "learning_rate": 8e-05, + "loss": 1.8074, + "step": 506 + }, + { + "epoch": 0.2463856153565788, + "grad_norm": 0.6744579672813416, + "learning_rate": 8e-05, + "loss": 1.6935, + "step": 507 + }, + { + "epoch": 0.24687158303972787, + "grad_norm": 0.6960515379905701, + "learning_rate": 8e-05, + "loss": 1.7088, + "step": 508 + }, + { + "epoch": 0.24735755072287693, + "grad_norm": 0.7346571683883667, + "learning_rate": 8e-05, + "loss": 1.7757, + "step": 509 + }, + { + "epoch": 0.247843518406026, + "grad_norm": 0.7043801546096802, + "learning_rate": 8e-05, + "loss": 1.7567, + "step": 510 + }, + { + "epoch": 0.24832948608917507, + "grad_norm": 0.7161319851875305, + "learning_rate": 8e-05, + "loss": 1.7718, + "step": 511 + }, + { + "epoch": 0.24881545377232414, + "grad_norm": 0.6959817409515381, + "learning_rate": 8e-05, + "loss": 1.7595, + "step": 512 + }, + { + "epoch": 0.2493014214554732, + "grad_norm": 0.6952643990516663, + "learning_rate": 8e-05, + "loss": 1.58, + "step": 513 + }, + { + "epoch": 0.24978738913862228, + "grad_norm": 0.7130714058876038, + "learning_rate": 8e-05, + "loss": 1.7052, + "step": 514 + }, + { + "epoch": 0.2502733568217714, + "grad_norm": 0.6457836627960205, + "learning_rate": 8e-05, + "loss": 1.589, + "step": 515 + }, + { + "epoch": 0.25075932450492044, + "grad_norm": 0.6648083925247192, + "learning_rate": 8e-05, + "loss": 1.778, + "step": 516 + }, + { + "epoch": 0.2512452921880695, + "grad_norm": 0.7063839435577393, + "learning_rate": 8e-05, + "loss": 1.727, + "step": 517 + }, + { + "epoch": 0.2517312598712186, + "grad_norm": 0.6737691760063171, + "learning_rate": 8e-05, + "loss": 1.6741, + "step": 518 + }, + { + "epoch": 0.25221722755436765, + "grad_norm": 0.712895393371582, + "learning_rate": 8e-05, + "loss": 1.7191, + "step": 519 + }, + { + "epoch": 0.2527031952375167, + "grad_norm": 0.714028537273407, + "learning_rate": 8e-05, + "loss": 1.7196, + "step": 520 + }, + { + "epoch": 0.2531891629206658, + "grad_norm": 0.6951844692230225, + "learning_rate": 8e-05, + "loss": 1.7803, + "step": 521 + }, + { + "epoch": 0.25367513060381486, + "grad_norm": 0.7156295776367188, + "learning_rate": 8e-05, + "loss": 1.6458, + "step": 522 + }, + { + "epoch": 0.2541610982869639, + "grad_norm": 0.6805440187454224, + "learning_rate": 8e-05, + "loss": 1.7051, + "step": 523 + }, + { + "epoch": 0.254647065970113, + "grad_norm": 0.6859557032585144, + "learning_rate": 8e-05, + "loss": 1.7722, + "step": 524 + }, + { + "epoch": 0.25513303365326206, + "grad_norm": 0.7139891386032104, + "learning_rate": 8e-05, + "loss": 1.5721, + "step": 525 + }, + { + "epoch": 0.25561900133641113, + "grad_norm": 0.7454090118408203, + "learning_rate": 8e-05, + "loss": 1.8498, + "step": 526 + }, + { + "epoch": 0.2561049690195602, + "grad_norm": 0.7028915882110596, + "learning_rate": 8e-05, + "loss": 1.7139, + "step": 527 + }, + { + "epoch": 0.25659093670270927, + "grad_norm": 0.683081328868866, + "learning_rate": 8e-05, + "loss": 1.7758, + "step": 528 + }, + { + "epoch": 0.25707690438585834, + "grad_norm": 0.7279673218727112, + "learning_rate": 8e-05, + "loss": 1.6658, + "step": 529 + }, + { + "epoch": 0.2575628720690074, + "grad_norm": 0.6918593645095825, + "learning_rate": 8e-05, + "loss": 1.7601, + "step": 530 + }, + { + "epoch": 0.2580488397521565, + "grad_norm": 0.7218605279922485, + "learning_rate": 8e-05, + "loss": 1.7032, + "step": 531 + }, + { + "epoch": 0.25853480743530555, + "grad_norm": 0.7645944356918335, + "learning_rate": 8e-05, + "loss": 1.8349, + "step": 532 + }, + { + "epoch": 0.2590207751184546, + "grad_norm": 0.7302256226539612, + "learning_rate": 8e-05, + "loss": 1.7089, + "step": 533 + }, + { + "epoch": 0.2595067428016037, + "grad_norm": 0.7124837040901184, + "learning_rate": 8e-05, + "loss": 1.8135, + "step": 534 + }, + { + "epoch": 0.25999271048475275, + "grad_norm": 0.6755090355873108, + "learning_rate": 8e-05, + "loss": 1.7794, + "step": 535 + }, + { + "epoch": 0.2604786781679018, + "grad_norm": 0.6875449419021606, + "learning_rate": 8e-05, + "loss": 1.6895, + "step": 536 + }, + { + "epoch": 0.2609646458510509, + "grad_norm": 0.68622887134552, + "learning_rate": 8e-05, + "loss": 1.7283, + "step": 537 + }, + { + "epoch": 0.26145061353419996, + "grad_norm": 0.708236575126648, + "learning_rate": 8e-05, + "loss": 1.7276, + "step": 538 + }, + { + "epoch": 0.26193658121734903, + "grad_norm": 0.7129213213920593, + "learning_rate": 8e-05, + "loss": 1.8007, + "step": 539 + }, + { + "epoch": 0.2624225489004981, + "grad_norm": 0.7373605966567993, + "learning_rate": 8e-05, + "loss": 1.7766, + "step": 540 + }, + { + "epoch": 0.26290851658364717, + "grad_norm": 0.7104474306106567, + "learning_rate": 8e-05, + "loss": 1.7928, + "step": 541 + }, + { + "epoch": 0.26339448426679624, + "grad_norm": 0.6636412739753723, + "learning_rate": 8e-05, + "loss": 1.4502, + "step": 542 + }, + { + "epoch": 0.2638804519499453, + "grad_norm": 0.7120438814163208, + "learning_rate": 8e-05, + "loss": 1.7942, + "step": 543 + }, + { + "epoch": 0.2643664196330944, + "grad_norm": 0.6799701452255249, + "learning_rate": 8e-05, + "loss": 1.6017, + "step": 544 + }, + { + "epoch": 0.26485238731624344, + "grad_norm": 0.6921384930610657, + "learning_rate": 8e-05, + "loss": 1.7992, + "step": 545 + }, + { + "epoch": 0.26533835499939257, + "grad_norm": 0.6836612820625305, + "learning_rate": 8e-05, + "loss": 1.7116, + "step": 546 + }, + { + "epoch": 0.26582432268254164, + "grad_norm": 0.6928842663764954, + "learning_rate": 8e-05, + "loss": 1.6887, + "step": 547 + }, + { + "epoch": 0.2663102903656907, + "grad_norm": 0.6903363466262817, + "learning_rate": 8e-05, + "loss": 1.7396, + "step": 548 + }, + { + "epoch": 0.2667962580488398, + "grad_norm": 0.7098380923271179, + "learning_rate": 8e-05, + "loss": 1.7317, + "step": 549 + }, + { + "epoch": 0.26728222573198884, + "grad_norm": 0.720300018787384, + "learning_rate": 8e-05, + "loss": 1.7333, + "step": 550 + }, + { + "epoch": 0.2677681934151379, + "grad_norm": 0.6820052266120911, + "learning_rate": 8e-05, + "loss": 1.6491, + "step": 551 + }, + { + "epoch": 0.268254161098287, + "grad_norm": 0.6927011013031006, + "learning_rate": 8e-05, + "loss": 1.6107, + "step": 552 + }, + { + "epoch": 0.26874012878143605, + "grad_norm": 0.6916157603263855, + "learning_rate": 8e-05, + "loss": 1.7209, + "step": 553 + }, + { + "epoch": 0.2692260964645851, + "grad_norm": 0.7326366901397705, + "learning_rate": 8e-05, + "loss": 1.7567, + "step": 554 + }, + { + "epoch": 0.2697120641477342, + "grad_norm": 0.68709796667099, + "learning_rate": 8e-05, + "loss": 1.6627, + "step": 555 + }, + { + "epoch": 0.27019803183088326, + "grad_norm": 0.7288592457771301, + "learning_rate": 8e-05, + "loss": 1.8309, + "step": 556 + }, + { + "epoch": 0.2706839995140323, + "grad_norm": 0.6784886121749878, + "learning_rate": 8e-05, + "loss": 1.7597, + "step": 557 + }, + { + "epoch": 0.2711699671971814, + "grad_norm": 0.7501283288002014, + "learning_rate": 8e-05, + "loss": 1.7674, + "step": 558 + }, + { + "epoch": 0.27165593488033046, + "grad_norm": 0.7130365967750549, + "learning_rate": 8e-05, + "loss": 1.7476, + "step": 559 + }, + { + "epoch": 0.27214190256347953, + "grad_norm": 0.6928538680076599, + "learning_rate": 8e-05, + "loss": 1.7251, + "step": 560 + }, + { + "epoch": 0.2726278702466286, + "grad_norm": 0.6954242587089539, + "learning_rate": 8e-05, + "loss": 1.7667, + "step": 561 + }, + { + "epoch": 0.27311383792977767, + "grad_norm": 0.7214319109916687, + "learning_rate": 8e-05, + "loss": 1.658, + "step": 562 + }, + { + "epoch": 0.27359980561292674, + "grad_norm": 0.6760271191596985, + "learning_rate": 8e-05, + "loss": 1.7001, + "step": 563 + }, + { + "epoch": 0.2740857732960758, + "grad_norm": 0.7545631527900696, + "learning_rate": 8e-05, + "loss": 1.6607, + "step": 564 + }, + { + "epoch": 0.2745717409792249, + "grad_norm": 0.7361739277839661, + "learning_rate": 8e-05, + "loss": 1.717, + "step": 565 + }, + { + "epoch": 0.27505770866237395, + "grad_norm": 0.702701210975647, + "learning_rate": 8e-05, + "loss": 1.8446, + "step": 566 + }, + { + "epoch": 0.275543676345523, + "grad_norm": 0.7299447655677795, + "learning_rate": 8e-05, + "loss": 1.9285, + "step": 567 + }, + { + "epoch": 0.2760296440286721, + "grad_norm": 0.7114670872688293, + "learning_rate": 8e-05, + "loss": 1.7747, + "step": 568 + }, + { + "epoch": 0.27651561171182115, + "grad_norm": 0.6972919702529907, + "learning_rate": 8e-05, + "loss": 1.7866, + "step": 569 + }, + { + "epoch": 0.2770015793949702, + "grad_norm": 0.69215327501297, + "learning_rate": 8e-05, + "loss": 1.7224, + "step": 570 + }, + { + "epoch": 0.2774875470781193, + "grad_norm": 0.6653308868408203, + "learning_rate": 8e-05, + "loss": 1.6739, + "step": 571 + }, + { + "epoch": 0.27797351476126836, + "grad_norm": 0.7020081281661987, + "learning_rate": 8e-05, + "loss": 1.7776, + "step": 572 + }, + { + "epoch": 0.2784594824444174, + "grad_norm": 0.6915746927261353, + "learning_rate": 8e-05, + "loss": 1.7161, + "step": 573 + }, + { + "epoch": 0.2789454501275665, + "grad_norm": 0.7168675661087036, + "learning_rate": 8e-05, + "loss": 1.6718, + "step": 574 + }, + { + "epoch": 0.27943141781071557, + "grad_norm": 0.6929783225059509, + "learning_rate": 8e-05, + "loss": 1.6508, + "step": 575 + }, + { + "epoch": 0.27991738549386463, + "grad_norm": 0.6933654546737671, + "learning_rate": 8e-05, + "loss": 1.6531, + "step": 576 + }, + { + "epoch": 0.2804033531770137, + "grad_norm": 0.730681300163269, + "learning_rate": 8e-05, + "loss": 1.7288, + "step": 577 + }, + { + "epoch": 0.28088932086016277, + "grad_norm": 0.7689934372901917, + "learning_rate": 8e-05, + "loss": 1.7032, + "step": 578 + }, + { + "epoch": 0.2813752885433119, + "grad_norm": 0.7239090204238892, + "learning_rate": 8e-05, + "loss": 1.7474, + "step": 579 + }, + { + "epoch": 0.28186125622646097, + "grad_norm": 0.8013045787811279, + "learning_rate": 8e-05, + "loss": 1.7319, + "step": 580 + }, + { + "epoch": 0.28234722390961003, + "grad_norm": 0.7367481589317322, + "learning_rate": 8e-05, + "loss": 1.7359, + "step": 581 + }, + { + "epoch": 0.2828331915927591, + "grad_norm": 0.7651221752166748, + "learning_rate": 8e-05, + "loss": 1.6418, + "step": 582 + }, + { + "epoch": 0.2833191592759082, + "grad_norm": 0.7227338552474976, + "learning_rate": 8e-05, + "loss": 1.8029, + "step": 583 + }, + { + "epoch": 0.28380512695905724, + "grad_norm": 0.7584525346755981, + "learning_rate": 8e-05, + "loss": 1.7288, + "step": 584 + }, + { + "epoch": 0.2842910946422063, + "grad_norm": 0.7245039343833923, + "learning_rate": 8e-05, + "loss": 1.8557, + "step": 585 + }, + { + "epoch": 0.2847770623253554, + "grad_norm": 0.7978915572166443, + "learning_rate": 8e-05, + "loss": 1.7347, + "step": 586 + }, + { + "epoch": 0.28526303000850445, + "grad_norm": 0.7050460577011108, + "learning_rate": 8e-05, + "loss": 1.8232, + "step": 587 + }, + { + "epoch": 0.2857489976916535, + "grad_norm": 0.7757149338722229, + "learning_rate": 8e-05, + "loss": 1.7079, + "step": 588 + }, + { + "epoch": 0.2862349653748026, + "grad_norm": 0.6907417178153992, + "learning_rate": 8e-05, + "loss": 1.7015, + "step": 589 + }, + { + "epoch": 0.28672093305795165, + "grad_norm": 0.7418529391288757, + "learning_rate": 8e-05, + "loss": 1.7228, + "step": 590 + }, + { + "epoch": 0.2872069007411007, + "grad_norm": 0.7167986035346985, + "learning_rate": 8e-05, + "loss": 1.7876, + "step": 591 + }, + { + "epoch": 0.2876928684242498, + "grad_norm": 0.6988394856452942, + "learning_rate": 8e-05, + "loss": 1.7615, + "step": 592 + }, + { + "epoch": 0.28817883610739886, + "grad_norm": 0.6974465847015381, + "learning_rate": 8e-05, + "loss": 1.7155, + "step": 593 + }, + { + "epoch": 0.28866480379054793, + "grad_norm": 0.7521048784255981, + "learning_rate": 8e-05, + "loss": 1.7372, + "step": 594 + }, + { + "epoch": 0.289150771473697, + "grad_norm": 0.6788330674171448, + "learning_rate": 8e-05, + "loss": 1.6089, + "step": 595 + }, + { + "epoch": 0.28963673915684607, + "grad_norm": 0.6883137822151184, + "learning_rate": 8e-05, + "loss": 1.6851, + "step": 596 + }, + { + "epoch": 0.29012270683999514, + "grad_norm": 0.6942862272262573, + "learning_rate": 8e-05, + "loss": 1.7191, + "step": 597 + }, + { + "epoch": 0.2906086745231442, + "grad_norm": 0.69673752784729, + "learning_rate": 8e-05, + "loss": 1.6598, + "step": 598 + }, + { + "epoch": 0.2910946422062933, + "grad_norm": 0.7147909998893738, + "learning_rate": 8e-05, + "loss": 1.775, + "step": 599 + }, + { + "epoch": 0.29158060988944234, + "grad_norm": 0.7194314002990723, + "learning_rate": 8e-05, + "loss": 1.6175, + "step": 600 + }, + { + "epoch": 0.2920665775725914, + "grad_norm": 0.7144424319267273, + "learning_rate": 8e-05, + "loss": 1.6754, + "step": 601 + }, + { + "epoch": 0.2925525452557405, + "grad_norm": 0.7796189785003662, + "learning_rate": 8e-05, + "loss": 1.7452, + "step": 602 + }, + { + "epoch": 0.29303851293888955, + "grad_norm": 0.7541716694831848, + "learning_rate": 8e-05, + "loss": 1.7163, + "step": 603 + }, + { + "epoch": 0.2935244806220386, + "grad_norm": 0.743827760219574, + "learning_rate": 8e-05, + "loss": 1.8049, + "step": 604 + }, + { + "epoch": 0.2940104483051877, + "grad_norm": 0.7244659066200256, + "learning_rate": 8e-05, + "loss": 1.7454, + "step": 605 + }, + { + "epoch": 0.29449641598833676, + "grad_norm": 0.7259283661842346, + "learning_rate": 8e-05, + "loss": 1.7226, + "step": 606 + }, + { + "epoch": 0.2949823836714858, + "grad_norm": 0.6881210207939148, + "learning_rate": 8e-05, + "loss": 1.7789, + "step": 607 + }, + { + "epoch": 0.2954683513546349, + "grad_norm": 0.6795855164527893, + "learning_rate": 8e-05, + "loss": 1.6374, + "step": 608 + }, + { + "epoch": 0.29595431903778396, + "grad_norm": 0.6765013933181763, + "learning_rate": 8e-05, + "loss": 1.6363, + "step": 609 + }, + { + "epoch": 0.29644028672093303, + "grad_norm": 0.7044883370399475, + "learning_rate": 8e-05, + "loss": 1.6962, + "step": 610 + }, + { + "epoch": 0.2969262544040821, + "grad_norm": 0.7081432342529297, + "learning_rate": 8e-05, + "loss": 1.737, + "step": 611 + }, + { + "epoch": 0.2974122220872312, + "grad_norm": 0.7889771461486816, + "learning_rate": 8e-05, + "loss": 1.6903, + "step": 612 + }, + { + "epoch": 0.2978981897703803, + "grad_norm": 0.7401373386383057, + "learning_rate": 8e-05, + "loss": 1.7204, + "step": 613 + }, + { + "epoch": 0.29838415745352936, + "grad_norm": 0.7494681477546692, + "learning_rate": 8e-05, + "loss": 1.7386, + "step": 614 + }, + { + "epoch": 0.29887012513667843, + "grad_norm": 0.672346293926239, + "learning_rate": 8e-05, + "loss": 1.7277, + "step": 615 + }, + { + "epoch": 0.2993560928198275, + "grad_norm": 0.7091094851493835, + "learning_rate": 8e-05, + "loss": 1.763, + "step": 616 + }, + { + "epoch": 0.29984206050297657, + "grad_norm": 0.6953763961791992, + "learning_rate": 8e-05, + "loss": 1.819, + "step": 617 + }, + { + "epoch": 0.30032802818612564, + "grad_norm": 0.7064865231513977, + "learning_rate": 8e-05, + "loss": 1.75, + "step": 618 + }, + { + "epoch": 0.3008139958692747, + "grad_norm": 0.6994685530662537, + "learning_rate": 8e-05, + "loss": 1.6968, + "step": 619 + }, + { + "epoch": 0.3012999635524238, + "grad_norm": 0.6812862753868103, + "learning_rate": 8e-05, + "loss": 1.6968, + "step": 620 + }, + { + "epoch": 0.30178593123557285, + "grad_norm": 0.6928630471229553, + "learning_rate": 8e-05, + "loss": 1.6216, + "step": 621 + }, + { + "epoch": 0.3022718989187219, + "grad_norm": 0.7348055243492126, + "learning_rate": 8e-05, + "loss": 1.7554, + "step": 622 + }, + { + "epoch": 0.302757866601871, + "grad_norm": 0.6720457673072815, + "learning_rate": 8e-05, + "loss": 1.6727, + "step": 623 + }, + { + "epoch": 0.30324383428502005, + "grad_norm": 0.7116773724555969, + "learning_rate": 8e-05, + "loss": 1.6855, + "step": 624 + }, + { + "epoch": 0.3037298019681691, + "grad_norm": 0.6709682941436768, + "learning_rate": 8e-05, + "loss": 1.7274, + "step": 625 + }, + { + "epoch": 0.3042157696513182, + "grad_norm": 0.717004120349884, + "learning_rate": 8e-05, + "loss": 1.7087, + "step": 626 + }, + { + "epoch": 0.30470173733446726, + "grad_norm": 0.686567485332489, + "learning_rate": 8e-05, + "loss": 1.7382, + "step": 627 + }, + { + "epoch": 0.30518770501761633, + "grad_norm": 0.6693478226661682, + "learning_rate": 8e-05, + "loss": 1.7077, + "step": 628 + }, + { + "epoch": 0.3056736727007654, + "grad_norm": 0.6920218467712402, + "learning_rate": 8e-05, + "loss": 1.6745, + "step": 629 + }, + { + "epoch": 0.30615964038391447, + "grad_norm": 0.715502917766571, + "learning_rate": 8e-05, + "loss": 1.7656, + "step": 630 + }, + { + "epoch": 0.30664560806706354, + "grad_norm": 0.6711974143981934, + "learning_rate": 8e-05, + "loss": 1.6409, + "step": 631 + }, + { + "epoch": 0.3071315757502126, + "grad_norm": 0.6944555044174194, + "learning_rate": 8e-05, + "loss": 1.7202, + "step": 632 + }, + { + "epoch": 0.3076175434333617, + "grad_norm": 0.6978852152824402, + "learning_rate": 8e-05, + "loss": 1.7713, + "step": 633 + }, + { + "epoch": 0.30810351111651074, + "grad_norm": 0.7136162519454956, + "learning_rate": 8e-05, + "loss": 1.7804, + "step": 634 + }, + { + "epoch": 0.3085894787996598, + "grad_norm": 0.6399965286254883, + "learning_rate": 8e-05, + "loss": 1.5789, + "step": 635 + }, + { + "epoch": 0.3090754464828089, + "grad_norm": 0.675133466720581, + "learning_rate": 8e-05, + "loss": 1.6818, + "step": 636 + }, + { + "epoch": 0.30956141416595795, + "grad_norm": 0.6725639700889587, + "learning_rate": 8e-05, + "loss": 1.7162, + "step": 637 + }, + { + "epoch": 0.310047381849107, + "grad_norm": 0.6805446743965149, + "learning_rate": 8e-05, + "loss": 1.6275, + "step": 638 + }, + { + "epoch": 0.3105333495322561, + "grad_norm": 0.7230474948883057, + "learning_rate": 8e-05, + "loss": 1.7247, + "step": 639 + }, + { + "epoch": 0.31101931721540516, + "grad_norm": 0.6834046244621277, + "learning_rate": 8e-05, + "loss": 1.7722, + "step": 640 + }, + { + "epoch": 0.3115052848985542, + "grad_norm": 0.683344841003418, + "learning_rate": 8e-05, + "loss": 1.6948, + "step": 641 + }, + { + "epoch": 0.3119912525817033, + "grad_norm": 0.6865242719650269, + "learning_rate": 8e-05, + "loss": 1.7313, + "step": 642 + }, + { + "epoch": 0.31247722026485236, + "grad_norm": 0.7007044553756714, + "learning_rate": 8e-05, + "loss": 1.6907, + "step": 643 + }, + { + "epoch": 0.31296318794800143, + "grad_norm": 0.7030975222587585, + "learning_rate": 8e-05, + "loss": 1.781, + "step": 644 + }, + { + "epoch": 0.31344915563115056, + "grad_norm": 0.6999849081039429, + "learning_rate": 8e-05, + "loss": 1.7243, + "step": 645 + }, + { + "epoch": 0.3139351233142996, + "grad_norm": 0.6664942502975464, + "learning_rate": 8e-05, + "loss": 1.665, + "step": 646 + }, + { + "epoch": 0.3144210909974487, + "grad_norm": 0.6898604035377502, + "learning_rate": 8e-05, + "loss": 1.755, + "step": 647 + }, + { + "epoch": 0.31490705868059776, + "grad_norm": 0.6785181164741516, + "learning_rate": 8e-05, + "loss": 1.7018, + "step": 648 + }, + { + "epoch": 0.31539302636374683, + "grad_norm": 0.6965758204460144, + "learning_rate": 8e-05, + "loss": 1.7484, + "step": 649 + }, + { + "epoch": 0.3158789940468959, + "grad_norm": 0.6679044365882874, + "learning_rate": 8e-05, + "loss": 1.5853, + "step": 650 + }, + { + "epoch": 0.31636496173004497, + "grad_norm": 0.6945375204086304, + "learning_rate": 8e-05, + "loss": 1.6642, + "step": 651 + }, + { + "epoch": 0.31685092941319404, + "grad_norm": 0.667552649974823, + "learning_rate": 8e-05, + "loss": 1.5783, + "step": 652 + }, + { + "epoch": 0.3173368970963431, + "grad_norm": 0.6989448070526123, + "learning_rate": 8e-05, + "loss": 1.7434, + "step": 653 + }, + { + "epoch": 0.3178228647794922, + "grad_norm": 0.6956431865692139, + "learning_rate": 8e-05, + "loss": 1.7055, + "step": 654 + }, + { + "epoch": 0.31830883246264124, + "grad_norm": 0.6771115064620972, + "learning_rate": 8e-05, + "loss": 1.723, + "step": 655 + }, + { + "epoch": 0.3187948001457903, + "grad_norm": 0.6688347458839417, + "learning_rate": 8e-05, + "loss": 1.7305, + "step": 656 + }, + { + "epoch": 0.3192807678289394, + "grad_norm": 0.7163428068161011, + "learning_rate": 8e-05, + "loss": 1.7346, + "step": 657 + }, + { + "epoch": 0.31976673551208845, + "grad_norm": 0.7120910882949829, + "learning_rate": 8e-05, + "loss": 1.7408, + "step": 658 + }, + { + "epoch": 0.3202527031952375, + "grad_norm": 0.7058713436126709, + "learning_rate": 8e-05, + "loss": 1.8368, + "step": 659 + }, + { + "epoch": 0.3207386708783866, + "grad_norm": 0.7976484894752502, + "learning_rate": 8e-05, + "loss": 1.6987, + "step": 660 + }, + { + "epoch": 0.32122463856153566, + "grad_norm": 0.7006098031997681, + "learning_rate": 8e-05, + "loss": 1.7049, + "step": 661 + }, + { + "epoch": 0.3217106062446847, + "grad_norm": 0.7080637812614441, + "learning_rate": 8e-05, + "loss": 1.672, + "step": 662 + }, + { + "epoch": 0.3221965739278338, + "grad_norm": 0.6846632957458496, + "learning_rate": 8e-05, + "loss": 1.7495, + "step": 663 + }, + { + "epoch": 0.32268254161098286, + "grad_norm": 0.7317066192626953, + "learning_rate": 8e-05, + "loss": 1.793, + "step": 664 + }, + { + "epoch": 0.32316850929413193, + "grad_norm": 0.6794739961624146, + "learning_rate": 8e-05, + "loss": 1.6725, + "step": 665 + }, + { + "epoch": 0.323654476977281, + "grad_norm": 0.6898600459098816, + "learning_rate": 8e-05, + "loss": 1.6968, + "step": 666 + }, + { + "epoch": 0.32414044466043007, + "grad_norm": 0.664738655090332, + "learning_rate": 8e-05, + "loss": 1.7035, + "step": 667 + }, + { + "epoch": 0.32462641234357914, + "grad_norm": 0.6971855163574219, + "learning_rate": 8e-05, + "loss": 1.7321, + "step": 668 + }, + { + "epoch": 0.3251123800267282, + "grad_norm": 0.6689901351928711, + "learning_rate": 8e-05, + "loss": 1.7187, + "step": 669 + }, + { + "epoch": 0.3255983477098773, + "grad_norm": 0.7430669069290161, + "learning_rate": 8e-05, + "loss": 1.7643, + "step": 670 + }, + { + "epoch": 0.32608431539302635, + "grad_norm": 0.6867819428443909, + "learning_rate": 8e-05, + "loss": 1.7678, + "step": 671 + }, + { + "epoch": 0.3265702830761754, + "grad_norm": 0.7471033334732056, + "learning_rate": 8e-05, + "loss": 1.8406, + "step": 672 + }, + { + "epoch": 0.3270562507593245, + "grad_norm": 0.6916874051094055, + "learning_rate": 8e-05, + "loss": 1.6642, + "step": 673 + }, + { + "epoch": 0.32754221844247355, + "grad_norm": 0.7641606330871582, + "learning_rate": 8e-05, + "loss": 1.7398, + "step": 674 + }, + { + "epoch": 0.3280281861256226, + "grad_norm": 0.7503807544708252, + "learning_rate": 8e-05, + "loss": 1.7585, + "step": 675 + }, + { + "epoch": 0.3285141538087717, + "grad_norm": 0.698069155216217, + "learning_rate": 8e-05, + "loss": 1.7155, + "step": 676 + }, + { + "epoch": 0.32900012149192076, + "grad_norm": 0.7112565040588379, + "learning_rate": 8e-05, + "loss": 1.764, + "step": 677 + }, + { + "epoch": 0.3294860891750699, + "grad_norm": 0.6986814737319946, + "learning_rate": 8e-05, + "loss": 1.7118, + "step": 678 + }, + { + "epoch": 0.32997205685821895, + "grad_norm": 0.7235680818557739, + "learning_rate": 8e-05, + "loss": 1.5749, + "step": 679 + }, + { + "epoch": 0.330458024541368, + "grad_norm": 0.7491697669029236, + "learning_rate": 8e-05, + "loss": 1.7661, + "step": 680 + }, + { + "epoch": 0.3309439922245171, + "grad_norm": 0.6982185244560242, + "learning_rate": 8e-05, + "loss": 1.7177, + "step": 681 + }, + { + "epoch": 0.33142995990766616, + "grad_norm": 0.7124080061912537, + "learning_rate": 8e-05, + "loss": 1.7063, + "step": 682 + }, + { + "epoch": 0.33191592759081523, + "grad_norm": 0.6832630634307861, + "learning_rate": 8e-05, + "loss": 1.588, + "step": 683 + }, + { + "epoch": 0.3324018952739643, + "grad_norm": 0.7236844301223755, + "learning_rate": 8e-05, + "loss": 1.7338, + "step": 684 + }, + { + "epoch": 0.33288786295711337, + "grad_norm": 0.7127472758293152, + "learning_rate": 8e-05, + "loss": 1.7555, + "step": 685 + }, + { + "epoch": 0.33337383064026244, + "grad_norm": 0.6831504702568054, + "learning_rate": 8e-05, + "loss": 1.6426, + "step": 686 + }, + { + "epoch": 0.3338597983234115, + "grad_norm": 0.6751428246498108, + "learning_rate": 8e-05, + "loss": 1.646, + "step": 687 + }, + { + "epoch": 0.3343457660065606, + "grad_norm": 0.6844292283058167, + "learning_rate": 8e-05, + "loss": 1.7087, + "step": 688 + }, + { + "epoch": 0.33483173368970964, + "grad_norm": 0.718913733959198, + "learning_rate": 8e-05, + "loss": 1.8296, + "step": 689 + }, + { + "epoch": 0.3353177013728587, + "grad_norm": 0.7067818641662598, + "learning_rate": 8e-05, + "loss": 1.6965, + "step": 690 + }, + { + "epoch": 0.3358036690560078, + "grad_norm": 0.6959990859031677, + "learning_rate": 8e-05, + "loss": 1.7785, + "step": 691 + }, + { + "epoch": 0.33628963673915685, + "grad_norm": 0.7144571542739868, + "learning_rate": 8e-05, + "loss": 1.6908, + "step": 692 + }, + { + "epoch": 0.3367756044223059, + "grad_norm": 0.7456130981445312, + "learning_rate": 8e-05, + "loss": 1.7632, + "step": 693 + }, + { + "epoch": 0.337261572105455, + "grad_norm": 0.6853093504905701, + "learning_rate": 8e-05, + "loss": 1.7011, + "step": 694 + }, + { + "epoch": 0.33774753978860406, + "grad_norm": 0.7311987280845642, + "learning_rate": 8e-05, + "loss": 1.757, + "step": 695 + }, + { + "epoch": 0.3382335074717531, + "grad_norm": 0.692941427230835, + "learning_rate": 8e-05, + "loss": 1.7853, + "step": 696 + }, + { + "epoch": 0.3387194751549022, + "grad_norm": 0.7096104025840759, + "learning_rate": 8e-05, + "loss": 1.6507, + "step": 697 + }, + { + "epoch": 0.33920544283805126, + "grad_norm": 0.7057453989982605, + "learning_rate": 8e-05, + "loss": 1.7361, + "step": 698 + }, + { + "epoch": 0.33969141052120033, + "grad_norm": 0.6995853185653687, + "learning_rate": 8e-05, + "loss": 1.6988, + "step": 699 + }, + { + "epoch": 0.3401773782043494, + "grad_norm": 0.6842801570892334, + "learning_rate": 8e-05, + "loss": 1.7112, + "step": 700 + }, + { + "epoch": 0.34066334588749847, + "grad_norm": 0.6936244368553162, + "learning_rate": 8e-05, + "loss": 1.7249, + "step": 701 + }, + { + "epoch": 0.34114931357064754, + "grad_norm": 0.6642776131629944, + "learning_rate": 8e-05, + "loss": 1.6834, + "step": 702 + }, + { + "epoch": 0.3416352812537966, + "grad_norm": 0.6814457178115845, + "learning_rate": 8e-05, + "loss": 1.705, + "step": 703 + }, + { + "epoch": 0.3421212489369457, + "grad_norm": 0.6857737898826599, + "learning_rate": 8e-05, + "loss": 1.7087, + "step": 704 + }, + { + "epoch": 0.34260721662009475, + "grad_norm": 0.681952714920044, + "learning_rate": 8e-05, + "loss": 1.6908, + "step": 705 + }, + { + "epoch": 0.3430931843032438, + "grad_norm": 0.6904730200767517, + "learning_rate": 8e-05, + "loss": 1.7594, + "step": 706 + }, + { + "epoch": 0.3435791519863929, + "grad_norm": 0.6764344573020935, + "learning_rate": 8e-05, + "loss": 1.6886, + "step": 707 + }, + { + "epoch": 0.34406511966954195, + "grad_norm": 0.6928572654724121, + "learning_rate": 8e-05, + "loss": 1.5948, + "step": 708 + }, + { + "epoch": 0.344551087352691, + "grad_norm": 0.7080250382423401, + "learning_rate": 8e-05, + "loss": 1.8411, + "step": 709 + }, + { + "epoch": 0.3450370550358401, + "grad_norm": 0.701583743095398, + "learning_rate": 8e-05, + "loss": 1.8013, + "step": 710 + }, + { + "epoch": 0.3455230227189892, + "grad_norm": 0.6787291169166565, + "learning_rate": 8e-05, + "loss": 1.662, + "step": 711 + }, + { + "epoch": 0.3460089904021383, + "grad_norm": 0.6819856762886047, + "learning_rate": 8e-05, + "loss": 1.707, + "step": 712 + }, + { + "epoch": 0.34649495808528735, + "grad_norm": 0.6898195743560791, + "learning_rate": 8e-05, + "loss": 1.6747, + "step": 713 + }, + { + "epoch": 0.3469809257684364, + "grad_norm": 0.6973528265953064, + "learning_rate": 8e-05, + "loss": 1.7357, + "step": 714 + }, + { + "epoch": 0.3474668934515855, + "grad_norm": 0.6738211512565613, + "learning_rate": 8e-05, + "loss": 1.6637, + "step": 715 + }, + { + "epoch": 0.34795286113473456, + "grad_norm": 0.7323836088180542, + "learning_rate": 8e-05, + "loss": 1.788, + "step": 716 + }, + { + "epoch": 0.34843882881788363, + "grad_norm": 0.7128671407699585, + "learning_rate": 8e-05, + "loss": 1.7472, + "step": 717 + }, + { + "epoch": 0.3489247965010327, + "grad_norm": 0.6978126764297485, + "learning_rate": 8e-05, + "loss": 1.7542, + "step": 718 + }, + { + "epoch": 0.34941076418418177, + "grad_norm": 0.7203449010848999, + "learning_rate": 8e-05, + "loss": 1.8486, + "step": 719 + }, + { + "epoch": 0.34989673186733083, + "grad_norm": 0.7253541350364685, + "learning_rate": 8e-05, + "loss": 1.7574, + "step": 720 + }, + { + "epoch": 0.3503826995504799, + "grad_norm": 0.7175763249397278, + "learning_rate": 8e-05, + "loss": 1.7841, + "step": 721 + }, + { + "epoch": 0.350868667233629, + "grad_norm": 0.692802369594574, + "learning_rate": 8e-05, + "loss": 1.7118, + "step": 722 + }, + { + "epoch": 0.35135463491677804, + "grad_norm": 0.6721988320350647, + "learning_rate": 8e-05, + "loss": 1.6411, + "step": 723 + }, + { + "epoch": 0.3518406025999271, + "grad_norm": 0.6904393434524536, + "learning_rate": 8e-05, + "loss": 1.6707, + "step": 724 + }, + { + "epoch": 0.3523265702830762, + "grad_norm": 0.6631871461868286, + "learning_rate": 8e-05, + "loss": 1.694, + "step": 725 + }, + { + "epoch": 0.35281253796622525, + "grad_norm": 0.6686208844184875, + "learning_rate": 8e-05, + "loss": 1.6628, + "step": 726 + }, + { + "epoch": 0.3532985056493743, + "grad_norm": 0.7212857604026794, + "learning_rate": 8e-05, + "loss": 1.7381, + "step": 727 + }, + { + "epoch": 0.3537844733325234, + "grad_norm": 0.7178005576133728, + "learning_rate": 8e-05, + "loss": 1.6917, + "step": 728 + }, + { + "epoch": 0.35427044101567245, + "grad_norm": 0.6868698000907898, + "learning_rate": 8e-05, + "loss": 1.7654, + "step": 729 + }, + { + "epoch": 0.3547564086988215, + "grad_norm": 0.6992602944374084, + "learning_rate": 8e-05, + "loss": 1.7562, + "step": 730 + }, + { + "epoch": 0.3552423763819706, + "grad_norm": 0.7130458354949951, + "learning_rate": 8e-05, + "loss": 1.7142, + "step": 731 + }, + { + "epoch": 0.35572834406511966, + "grad_norm": 0.7360597252845764, + "learning_rate": 8e-05, + "loss": 1.8032, + "step": 732 + }, + { + "epoch": 0.35621431174826873, + "grad_norm": 0.7023678421974182, + "learning_rate": 8e-05, + "loss": 1.68, + "step": 733 + }, + { + "epoch": 0.3567002794314178, + "grad_norm": 0.6872215867042542, + "learning_rate": 8e-05, + "loss": 1.689, + "step": 734 + }, + { + "epoch": 0.35718624711456687, + "grad_norm": 0.6893778443336487, + "learning_rate": 8e-05, + "loss": 1.7228, + "step": 735 + }, + { + "epoch": 0.35767221479771594, + "grad_norm": 0.6837376356124878, + "learning_rate": 8e-05, + "loss": 1.6901, + "step": 736 + }, + { + "epoch": 0.358158182480865, + "grad_norm": 0.677789032459259, + "learning_rate": 8e-05, + "loss": 1.6059, + "step": 737 + }, + { + "epoch": 0.3586441501640141, + "grad_norm": 0.7021698355674744, + "learning_rate": 8e-05, + "loss": 1.6352, + "step": 738 + }, + { + "epoch": 0.35913011784716314, + "grad_norm": 0.7170615792274475, + "learning_rate": 8e-05, + "loss": 1.7215, + "step": 739 + }, + { + "epoch": 0.3596160855303122, + "grad_norm": 0.6669505834579468, + "learning_rate": 8e-05, + "loss": 1.6934, + "step": 740 + }, + { + "epoch": 0.3601020532134613, + "grad_norm": 0.7288329005241394, + "learning_rate": 8e-05, + "loss": 1.8032, + "step": 741 + }, + { + "epoch": 0.36058802089661035, + "grad_norm": 0.7091507911682129, + "learning_rate": 8e-05, + "loss": 1.751, + "step": 742 + }, + { + "epoch": 0.3610739885797594, + "grad_norm": 0.7438647747039795, + "learning_rate": 8e-05, + "loss": 1.7154, + "step": 743 + }, + { + "epoch": 0.36155995626290854, + "grad_norm": 0.6953144073486328, + "learning_rate": 8e-05, + "loss": 1.7764, + "step": 744 + }, + { + "epoch": 0.3620459239460576, + "grad_norm": 0.7226343750953674, + "learning_rate": 8e-05, + "loss": 1.699, + "step": 745 + }, + { + "epoch": 0.3625318916292067, + "grad_norm": 0.6900684833526611, + "learning_rate": 8e-05, + "loss": 1.7181, + "step": 746 + }, + { + "epoch": 0.36301785931235575, + "grad_norm": 0.7096751928329468, + "learning_rate": 8e-05, + "loss": 1.705, + "step": 747 + }, + { + "epoch": 0.3635038269955048, + "grad_norm": 0.6874499917030334, + "learning_rate": 8e-05, + "loss": 1.6872, + "step": 748 + }, + { + "epoch": 0.3639897946786539, + "grad_norm": 0.7049229741096497, + "learning_rate": 8e-05, + "loss": 1.681, + "step": 749 + }, + { + "epoch": 0.36447576236180296, + "grad_norm": 0.7370143532752991, + "learning_rate": 8e-05, + "loss": 1.7453, + "step": 750 + }, + { + "epoch": 0.364961730044952, + "grad_norm": 0.7138962149620056, + "learning_rate": 8e-05, + "loss": 1.7454, + "step": 751 + }, + { + "epoch": 0.3654476977281011, + "grad_norm": 0.6863689422607422, + "learning_rate": 8e-05, + "loss": 1.7144, + "step": 752 + }, + { + "epoch": 0.36593366541125016, + "grad_norm": 0.6769356727600098, + "learning_rate": 8e-05, + "loss": 1.6079, + "step": 753 + }, + { + "epoch": 0.36641963309439923, + "grad_norm": 0.738787055015564, + "learning_rate": 8e-05, + "loss": 1.7435, + "step": 754 + }, + { + "epoch": 0.3669056007775483, + "grad_norm": 0.6810450553894043, + "learning_rate": 8e-05, + "loss": 1.6657, + "step": 755 + }, + { + "epoch": 0.36739156846069737, + "grad_norm": 0.7094942331314087, + "learning_rate": 8e-05, + "loss": 1.801, + "step": 756 + }, + { + "epoch": 0.36787753614384644, + "grad_norm": 0.7048606872558594, + "learning_rate": 8e-05, + "loss": 1.6962, + "step": 757 + }, + { + "epoch": 0.3683635038269955, + "grad_norm": 0.697839617729187, + "learning_rate": 8e-05, + "loss": 1.698, + "step": 758 + }, + { + "epoch": 0.3688494715101446, + "grad_norm": 0.7033606767654419, + "learning_rate": 8e-05, + "loss": 1.7372, + "step": 759 + }, + { + "epoch": 0.36933543919329365, + "grad_norm": 0.6924566030502319, + "learning_rate": 8e-05, + "loss": 1.6313, + "step": 760 + }, + { + "epoch": 0.3698214068764427, + "grad_norm": 0.7041929364204407, + "learning_rate": 8e-05, + "loss": 1.7038, + "step": 761 + }, + { + "epoch": 0.3703073745595918, + "grad_norm": 0.709780216217041, + "learning_rate": 8e-05, + "loss": 1.7423, + "step": 762 + }, + { + "epoch": 0.37079334224274085, + "grad_norm": 0.7087435722351074, + "learning_rate": 8e-05, + "loss": 1.742, + "step": 763 + }, + { + "epoch": 0.3712793099258899, + "grad_norm": 0.7007718086242676, + "learning_rate": 8e-05, + "loss": 1.6585, + "step": 764 + }, + { + "epoch": 0.371765277609039, + "grad_norm": 0.7238125205039978, + "learning_rate": 8e-05, + "loss": 1.7995, + "step": 765 + }, + { + "epoch": 0.37225124529218806, + "grad_norm": 0.7054280638694763, + "learning_rate": 8e-05, + "loss": 1.658, + "step": 766 + }, + { + "epoch": 0.37273721297533713, + "grad_norm": 0.7188702821731567, + "learning_rate": 8e-05, + "loss": 1.7099, + "step": 767 + }, + { + "epoch": 0.3732231806584862, + "grad_norm": 0.7082090377807617, + "learning_rate": 8e-05, + "loss": 1.6814, + "step": 768 + }, + { + "epoch": 0.37370914834163527, + "grad_norm": 0.6647132635116577, + "learning_rate": 8e-05, + "loss": 1.679, + "step": 769 + }, + { + "epoch": 0.37419511602478434, + "grad_norm": 0.7240138053894043, + "learning_rate": 8e-05, + "loss": 1.6995, + "step": 770 + }, + { + "epoch": 0.3746810837079334, + "grad_norm": 0.6638062000274658, + "learning_rate": 8e-05, + "loss": 1.668, + "step": 771 + }, + { + "epoch": 0.3751670513910825, + "grad_norm": 0.7058272957801819, + "learning_rate": 8e-05, + "loss": 1.683, + "step": 772 + }, + { + "epoch": 0.37565301907423154, + "grad_norm": 0.7083149552345276, + "learning_rate": 8e-05, + "loss": 1.6905, + "step": 773 + }, + { + "epoch": 0.3761389867573806, + "grad_norm": 0.7284737229347229, + "learning_rate": 8e-05, + "loss": 1.696, + "step": 774 + }, + { + "epoch": 0.3766249544405297, + "grad_norm": 0.6703829169273376, + "learning_rate": 8e-05, + "loss": 1.7623, + "step": 775 + }, + { + "epoch": 0.37711092212367875, + "grad_norm": 0.7210977673530579, + "learning_rate": 8e-05, + "loss": 1.725, + "step": 776 + }, + { + "epoch": 0.3775968898068279, + "grad_norm": 0.6856040358543396, + "learning_rate": 8e-05, + "loss": 1.7112, + "step": 777 + }, + { + "epoch": 0.37808285748997694, + "grad_norm": 0.7452442646026611, + "learning_rate": 8e-05, + "loss": 1.7337, + "step": 778 + }, + { + "epoch": 0.378568825173126, + "grad_norm": 0.7243314385414124, + "learning_rate": 8e-05, + "loss": 1.662, + "step": 779 + }, + { + "epoch": 0.3790547928562751, + "grad_norm": 0.6789048314094543, + "learning_rate": 8e-05, + "loss": 1.7704, + "step": 780 + }, + { + "epoch": 0.37954076053942415, + "grad_norm": 0.6936148405075073, + "learning_rate": 8e-05, + "loss": 1.6351, + "step": 781 + }, + { + "epoch": 0.3800267282225732, + "grad_norm": 0.6592870354652405, + "learning_rate": 8e-05, + "loss": 1.6556, + "step": 782 + }, + { + "epoch": 0.3805126959057223, + "grad_norm": 0.6431177258491516, + "learning_rate": 8e-05, + "loss": 1.5877, + "step": 783 + }, + { + "epoch": 0.38099866358887136, + "grad_norm": 0.6808754205703735, + "learning_rate": 8e-05, + "loss": 1.73, + "step": 784 + }, + { + "epoch": 0.3814846312720204, + "grad_norm": 0.6854271292686462, + "learning_rate": 8e-05, + "loss": 1.7208, + "step": 785 + }, + { + "epoch": 0.3819705989551695, + "grad_norm": 0.6662227511405945, + "learning_rate": 8e-05, + "loss": 1.6591, + "step": 786 + }, + { + "epoch": 0.38245656663831856, + "grad_norm": 0.6742472648620605, + "learning_rate": 8e-05, + "loss": 1.7358, + "step": 787 + }, + { + "epoch": 0.38294253432146763, + "grad_norm": 0.6727938055992126, + "learning_rate": 8e-05, + "loss": 1.6611, + "step": 788 + }, + { + "epoch": 0.3834285020046167, + "grad_norm": 0.7182742357254028, + "learning_rate": 8e-05, + "loss": 1.7756, + "step": 789 + }, + { + "epoch": 0.38391446968776577, + "grad_norm": 0.6842840313911438, + "learning_rate": 8e-05, + "loss": 1.7347, + "step": 790 + }, + { + "epoch": 0.38440043737091484, + "grad_norm": 0.7511676549911499, + "learning_rate": 8e-05, + "loss": 1.8546, + "step": 791 + }, + { + "epoch": 0.3848864050540639, + "grad_norm": 0.6960460543632507, + "learning_rate": 8e-05, + "loss": 1.7523, + "step": 792 + }, + { + "epoch": 0.385372372737213, + "grad_norm": 0.6879598498344421, + "learning_rate": 8e-05, + "loss": 1.7206, + "step": 793 + }, + { + "epoch": 0.38585834042036204, + "grad_norm": 0.6782386302947998, + "learning_rate": 8e-05, + "loss": 1.7023, + "step": 794 + }, + { + "epoch": 0.3863443081035111, + "grad_norm": 0.725420355796814, + "learning_rate": 8e-05, + "loss": 1.7066, + "step": 795 + }, + { + "epoch": 0.3868302757866602, + "grad_norm": 0.6997841596603394, + "learning_rate": 8e-05, + "loss": 1.723, + "step": 796 + }, + { + "epoch": 0.38731624346980925, + "grad_norm": 0.6572220921516418, + "learning_rate": 8e-05, + "loss": 1.6855, + "step": 797 + }, + { + "epoch": 0.3878022111529583, + "grad_norm": 0.6855907440185547, + "learning_rate": 8e-05, + "loss": 1.7322, + "step": 798 + }, + { + "epoch": 0.3882881788361074, + "grad_norm": 0.6765984892845154, + "learning_rate": 8e-05, + "loss": 1.667, + "step": 799 + }, + { + "epoch": 0.38877414651925646, + "grad_norm": 0.6914188265800476, + "learning_rate": 8e-05, + "loss": 1.7051, + "step": 800 + }, + { + "epoch": 0.3892601142024055, + "grad_norm": 0.715277373790741, + "learning_rate": 8e-05, + "loss": 1.7199, + "step": 801 + }, + { + "epoch": 0.3897460818855546, + "grad_norm": 0.6714770197868347, + "learning_rate": 8e-05, + "loss": 1.6992, + "step": 802 + }, + { + "epoch": 0.39023204956870366, + "grad_norm": 0.741721510887146, + "learning_rate": 8e-05, + "loss": 1.7375, + "step": 803 + }, + { + "epoch": 0.39071801725185273, + "grad_norm": 0.7057347893714905, + "learning_rate": 8e-05, + "loss": 1.7769, + "step": 804 + }, + { + "epoch": 0.3912039849350018, + "grad_norm": 0.7016803026199341, + "learning_rate": 8e-05, + "loss": 1.7315, + "step": 805 + }, + { + "epoch": 0.39168995261815087, + "grad_norm": 0.6794413924217224, + "learning_rate": 8e-05, + "loss": 1.7699, + "step": 806 + }, + { + "epoch": 0.39217592030129994, + "grad_norm": 0.6544263362884521, + "learning_rate": 8e-05, + "loss": 1.6509, + "step": 807 + }, + { + "epoch": 0.392661887984449, + "grad_norm": 0.6961451172828674, + "learning_rate": 8e-05, + "loss": 1.6422, + "step": 808 + }, + { + "epoch": 0.3931478556675981, + "grad_norm": 0.664314866065979, + "learning_rate": 8e-05, + "loss": 1.794, + "step": 809 + }, + { + "epoch": 0.3936338233507472, + "grad_norm": 0.6872162222862244, + "learning_rate": 8e-05, + "loss": 1.6422, + "step": 810 + }, + { + "epoch": 0.39411979103389627, + "grad_norm": 0.6748554110527039, + "learning_rate": 8e-05, + "loss": 1.6915, + "step": 811 + }, + { + "epoch": 0.39460575871704534, + "grad_norm": 0.6837556958198547, + "learning_rate": 8e-05, + "loss": 1.6511, + "step": 812 + }, + { + "epoch": 0.3950917264001944, + "grad_norm": 0.6896275877952576, + "learning_rate": 8e-05, + "loss": 1.7798, + "step": 813 + }, + { + "epoch": 0.3955776940833435, + "grad_norm": 0.6529355645179749, + "learning_rate": 8e-05, + "loss": 1.6849, + "step": 814 + }, + { + "epoch": 0.39606366176649255, + "grad_norm": 0.6821863055229187, + "learning_rate": 8e-05, + "loss": 1.7039, + "step": 815 + }, + { + "epoch": 0.3965496294496416, + "grad_norm": 0.6722215414047241, + "learning_rate": 8e-05, + "loss": 1.7436, + "step": 816 + }, + { + "epoch": 0.3970355971327907, + "grad_norm": 0.6700097322463989, + "learning_rate": 8e-05, + "loss": 1.6214, + "step": 817 + }, + { + "epoch": 0.39752156481593975, + "grad_norm": 0.676224946975708, + "learning_rate": 8e-05, + "loss": 1.7256, + "step": 818 + }, + { + "epoch": 0.3980075324990888, + "grad_norm": 0.6975687742233276, + "learning_rate": 8e-05, + "loss": 1.8245, + "step": 819 + }, + { + "epoch": 0.3984935001822379, + "grad_norm": 0.703895628452301, + "learning_rate": 8e-05, + "loss": 1.7452, + "step": 820 + }, + { + "epoch": 0.39897946786538696, + "grad_norm": 0.6618953347206116, + "learning_rate": 8e-05, + "loss": 1.6509, + "step": 821 + }, + { + "epoch": 0.39946543554853603, + "grad_norm": 0.667535662651062, + "learning_rate": 8e-05, + "loss": 1.688, + "step": 822 + }, + { + "epoch": 0.3999514032316851, + "grad_norm": 0.6862965226173401, + "learning_rate": 8e-05, + "loss": 1.7155, + "step": 823 + }, + { + "epoch": 0.40043737091483417, + "grad_norm": 0.6981528997421265, + "learning_rate": 8e-05, + "loss": 1.6535, + "step": 824 + }, + { + "epoch": 0.40092333859798324, + "grad_norm": 0.6970820426940918, + "learning_rate": 8e-05, + "loss": 1.8253, + "step": 825 + }, + { + "epoch": 0.4014093062811323, + "grad_norm": 0.7245957851409912, + "learning_rate": 8e-05, + "loss": 1.8077, + "step": 826 + }, + { + "epoch": 0.4018952739642814, + "grad_norm": 0.6667302846908569, + "learning_rate": 8e-05, + "loss": 1.677, + "step": 827 + }, + { + "epoch": 0.40238124164743044, + "grad_norm": 0.6981498003005981, + "learning_rate": 8e-05, + "loss": 1.7418, + "step": 828 + }, + { + "epoch": 0.4028672093305795, + "grad_norm": 0.6691059470176697, + "learning_rate": 8e-05, + "loss": 1.6942, + "step": 829 + }, + { + "epoch": 0.4033531770137286, + "grad_norm": 0.6742236018180847, + "learning_rate": 8e-05, + "loss": 1.7596, + "step": 830 + }, + { + "epoch": 0.40383914469687765, + "grad_norm": 0.6770570278167725, + "learning_rate": 8e-05, + "loss": 1.6545, + "step": 831 + }, + { + "epoch": 0.4043251123800267, + "grad_norm": 0.673988401889801, + "learning_rate": 8e-05, + "loss": 1.79, + "step": 832 + }, + { + "epoch": 0.4048110800631758, + "grad_norm": 0.6888890862464905, + "learning_rate": 8e-05, + "loss": 1.6964, + "step": 833 + }, + { + "epoch": 0.40529704774632486, + "grad_norm": 0.7041418552398682, + "learning_rate": 8e-05, + "loss": 1.6975, + "step": 834 + }, + { + "epoch": 0.4057830154294739, + "grad_norm": 0.6616572737693787, + "learning_rate": 8e-05, + "loss": 1.609, + "step": 835 + }, + { + "epoch": 0.406268983112623, + "grad_norm": 0.6954545974731445, + "learning_rate": 8e-05, + "loss": 1.6616, + "step": 836 + }, + { + "epoch": 0.40675495079577206, + "grad_norm": 0.6895012259483337, + "learning_rate": 8e-05, + "loss": 1.7397, + "step": 837 + }, + { + "epoch": 0.40724091847892113, + "grad_norm": 0.6795293688774109, + "learning_rate": 8e-05, + "loss": 1.6625, + "step": 838 + }, + { + "epoch": 0.4077268861620702, + "grad_norm": 0.6722828149795532, + "learning_rate": 8e-05, + "loss": 1.6734, + "step": 839 + }, + { + "epoch": 0.40821285384521927, + "grad_norm": 0.703922688961029, + "learning_rate": 8e-05, + "loss": 1.7597, + "step": 840 + }, + { + "epoch": 0.40869882152836834, + "grad_norm": 0.6770139336585999, + "learning_rate": 8e-05, + "loss": 1.6764, + "step": 841 + }, + { + "epoch": 0.4091847892115174, + "grad_norm": 0.6721189618110657, + "learning_rate": 8e-05, + "loss": 1.6321, + "step": 842 + }, + { + "epoch": 0.40967075689466653, + "grad_norm": 0.7049797773361206, + "learning_rate": 8e-05, + "loss": 1.7613, + "step": 843 + }, + { + "epoch": 0.4101567245778156, + "grad_norm": 0.6847895383834839, + "learning_rate": 8e-05, + "loss": 1.687, + "step": 844 + }, + { + "epoch": 0.41064269226096467, + "grad_norm": 0.7181977033615112, + "learning_rate": 8e-05, + "loss": 1.6613, + "step": 845 + }, + { + "epoch": 0.41112865994411374, + "grad_norm": 0.7018725275993347, + "learning_rate": 8e-05, + "loss": 1.8038, + "step": 846 + }, + { + "epoch": 0.4116146276272628, + "grad_norm": 0.6717066168785095, + "learning_rate": 8e-05, + "loss": 1.636, + "step": 847 + }, + { + "epoch": 0.4121005953104119, + "grad_norm": 0.6622872352600098, + "learning_rate": 8e-05, + "loss": 1.6516, + "step": 848 + }, + { + "epoch": 0.41258656299356095, + "grad_norm": 0.6866238117218018, + "learning_rate": 8e-05, + "loss": 1.7175, + "step": 849 + }, + { + "epoch": 0.41307253067671, + "grad_norm": 0.6799110174179077, + "learning_rate": 8e-05, + "loss": 1.7228, + "step": 850 + }, + { + "epoch": 0.4135584983598591, + "grad_norm": 0.6873098015785217, + "learning_rate": 8e-05, + "loss": 1.7308, + "step": 851 + }, + { + "epoch": 0.41404446604300815, + "grad_norm": 0.6333160996437073, + "learning_rate": 8e-05, + "loss": 1.648, + "step": 852 + }, + { + "epoch": 0.4145304337261572, + "grad_norm": 0.7071367502212524, + "learning_rate": 8e-05, + "loss": 1.7583, + "step": 853 + }, + { + "epoch": 0.4150164014093063, + "grad_norm": 0.6877809762954712, + "learning_rate": 8e-05, + "loss": 1.7178, + "step": 854 + }, + { + "epoch": 0.41550236909245536, + "grad_norm": 0.7020477652549744, + "learning_rate": 8e-05, + "loss": 1.7284, + "step": 855 + }, + { + "epoch": 0.41598833677560443, + "grad_norm": 0.6756927371025085, + "learning_rate": 8e-05, + "loss": 1.6667, + "step": 856 + }, + { + "epoch": 0.4164743044587535, + "grad_norm": 0.7071303725242615, + "learning_rate": 8e-05, + "loss": 1.7081, + "step": 857 + }, + { + "epoch": 0.41696027214190257, + "grad_norm": 0.6677414178848267, + "learning_rate": 8e-05, + "loss": 1.6691, + "step": 858 + }, + { + "epoch": 0.41744623982505163, + "grad_norm": 0.6795874834060669, + "learning_rate": 8e-05, + "loss": 1.6806, + "step": 859 + }, + { + "epoch": 0.4179322075082007, + "grad_norm": 0.7159068584442139, + "learning_rate": 8e-05, + "loss": 1.9206, + "step": 860 + }, + { + "epoch": 0.4184181751913498, + "grad_norm": 0.6572151780128479, + "learning_rate": 8e-05, + "loss": 1.648, + "step": 861 + }, + { + "epoch": 0.41890414287449884, + "grad_norm": 0.7271780967712402, + "learning_rate": 8e-05, + "loss": 1.623, + "step": 862 + }, + { + "epoch": 0.4193901105576479, + "grad_norm": 0.6506872773170471, + "learning_rate": 8e-05, + "loss": 1.5811, + "step": 863 + }, + { + "epoch": 0.419876078240797, + "grad_norm": 0.6598126888275146, + "learning_rate": 8e-05, + "loss": 1.6703, + "step": 864 + }, + { + "epoch": 0.42036204592394605, + "grad_norm": 0.6662724614143372, + "learning_rate": 8e-05, + "loss": 1.6486, + "step": 865 + }, + { + "epoch": 0.4208480136070951, + "grad_norm": 0.7072134017944336, + "learning_rate": 8e-05, + "loss": 1.7073, + "step": 866 + }, + { + "epoch": 0.4213339812902442, + "grad_norm": 0.7048529982566833, + "learning_rate": 8e-05, + "loss": 1.7314, + "step": 867 + }, + { + "epoch": 0.42181994897339326, + "grad_norm": 0.6804163455963135, + "learning_rate": 8e-05, + "loss": 1.572, + "step": 868 + }, + { + "epoch": 0.4223059166565423, + "grad_norm": 0.6902045011520386, + "learning_rate": 8e-05, + "loss": 1.7352, + "step": 869 + }, + { + "epoch": 0.4227918843396914, + "grad_norm": 0.6777858138084412, + "learning_rate": 8e-05, + "loss": 1.7343, + "step": 870 + }, + { + "epoch": 0.42327785202284046, + "grad_norm": 0.7061010599136353, + "learning_rate": 8e-05, + "loss": 1.7791, + "step": 871 + }, + { + "epoch": 0.42376381970598953, + "grad_norm": 0.7418678998947144, + "learning_rate": 8e-05, + "loss": 1.776, + "step": 872 + }, + { + "epoch": 0.4242497873891386, + "grad_norm": 0.6834468841552734, + "learning_rate": 8e-05, + "loss": 1.6412, + "step": 873 + }, + { + "epoch": 0.42473575507228767, + "grad_norm": 0.7752047181129456, + "learning_rate": 8e-05, + "loss": 1.7917, + "step": 874 + }, + { + "epoch": 0.42522172275543674, + "grad_norm": 0.6734682321548462, + "learning_rate": 8e-05, + "loss": 1.5883, + "step": 875 + }, + { + "epoch": 0.42570769043858586, + "grad_norm": 0.6892010569572449, + "learning_rate": 8e-05, + "loss": 1.6137, + "step": 876 + }, + { + "epoch": 0.42619365812173493, + "grad_norm": 0.6889033317565918, + "learning_rate": 8e-05, + "loss": 1.7339, + "step": 877 + }, + { + "epoch": 0.426679625804884, + "grad_norm": 0.6788530945777893, + "learning_rate": 8e-05, + "loss": 1.7603, + "step": 878 + }, + { + "epoch": 0.42716559348803307, + "grad_norm": 0.6809303760528564, + "learning_rate": 8e-05, + "loss": 1.5856, + "step": 879 + }, + { + "epoch": 0.42765156117118214, + "grad_norm": 0.6807916760444641, + "learning_rate": 8e-05, + "loss": 1.672, + "step": 880 + }, + { + "epoch": 0.4281375288543312, + "grad_norm": 0.6880296468734741, + "learning_rate": 8e-05, + "loss": 1.6914, + "step": 881 + }, + { + "epoch": 0.4286234965374803, + "grad_norm": 0.6756458282470703, + "learning_rate": 8e-05, + "loss": 1.6854, + "step": 882 + }, + { + "epoch": 0.42910946422062934, + "grad_norm": 0.7178724408149719, + "learning_rate": 8e-05, + "loss": 1.6913, + "step": 883 + }, + { + "epoch": 0.4295954319037784, + "grad_norm": 0.6717207431793213, + "learning_rate": 8e-05, + "loss": 1.7001, + "step": 884 + }, + { + "epoch": 0.4300813995869275, + "grad_norm": 0.6702977418899536, + "learning_rate": 8e-05, + "loss": 1.7455, + "step": 885 + }, + { + "epoch": 0.43056736727007655, + "grad_norm": 0.6849383115768433, + "learning_rate": 8e-05, + "loss": 1.6358, + "step": 886 + }, + { + "epoch": 0.4310533349532256, + "grad_norm": 0.6844571828842163, + "learning_rate": 8e-05, + "loss": 1.7251, + "step": 887 + }, + { + "epoch": 0.4315393026363747, + "grad_norm": 0.6590885519981384, + "learning_rate": 8e-05, + "loss": 1.6084, + "step": 888 + }, + { + "epoch": 0.43202527031952376, + "grad_norm": 0.6888204216957092, + "learning_rate": 8e-05, + "loss": 1.6628, + "step": 889 + }, + { + "epoch": 0.4325112380026728, + "grad_norm": 0.6698614358901978, + "learning_rate": 8e-05, + "loss": 1.7264, + "step": 890 + }, + { + "epoch": 0.4329972056858219, + "grad_norm": 0.6939740180969238, + "learning_rate": 8e-05, + "loss": 1.731, + "step": 891 + }, + { + "epoch": 0.43348317336897096, + "grad_norm": 0.6651397347450256, + "learning_rate": 8e-05, + "loss": 1.667, + "step": 892 + }, + { + "epoch": 0.43396914105212003, + "grad_norm": 0.6693311333656311, + "learning_rate": 8e-05, + "loss": 1.6822, + "step": 893 + }, + { + "epoch": 0.4344551087352691, + "grad_norm": 0.6974858641624451, + "learning_rate": 8e-05, + "loss": 1.752, + "step": 894 + }, + { + "epoch": 0.43494107641841817, + "grad_norm": 0.6832178235054016, + "learning_rate": 8e-05, + "loss": 1.7949, + "step": 895 + }, + { + "epoch": 0.43542704410156724, + "grad_norm": 0.6783958673477173, + "learning_rate": 8e-05, + "loss": 1.704, + "step": 896 + }, + { + "epoch": 0.4359130117847163, + "grad_norm": 0.6979472637176514, + "learning_rate": 8e-05, + "loss": 1.7986, + "step": 897 + }, + { + "epoch": 0.4363989794678654, + "grad_norm": 0.667197048664093, + "learning_rate": 8e-05, + "loss": 1.6722, + "step": 898 + }, + { + "epoch": 0.43688494715101445, + "grad_norm": 0.6760208606719971, + "learning_rate": 8e-05, + "loss": 1.5674, + "step": 899 + }, + { + "epoch": 0.4373709148341635, + "grad_norm": 0.6722148060798645, + "learning_rate": 8e-05, + "loss": 1.6734, + "step": 900 + }, + { + "epoch": 0.4378568825173126, + "grad_norm": 0.7194588780403137, + "learning_rate": 8e-05, + "loss": 1.8366, + "step": 901 + }, + { + "epoch": 0.43834285020046165, + "grad_norm": 0.7332800626754761, + "learning_rate": 8e-05, + "loss": 1.7084, + "step": 902 + }, + { + "epoch": 0.4388288178836107, + "grad_norm": 0.6858316659927368, + "learning_rate": 8e-05, + "loss": 1.7635, + "step": 903 + }, + { + "epoch": 0.4393147855667598, + "grad_norm": 0.7341161966323853, + "learning_rate": 8e-05, + "loss": 1.7552, + "step": 904 + }, + { + "epoch": 0.43980075324990886, + "grad_norm": 0.6958224177360535, + "learning_rate": 8e-05, + "loss": 1.7027, + "step": 905 + }, + { + "epoch": 0.44028672093305793, + "grad_norm": 0.7173404693603516, + "learning_rate": 8e-05, + "loss": 1.7089, + "step": 906 + }, + { + "epoch": 0.440772688616207, + "grad_norm": 0.6778115630149841, + "learning_rate": 8e-05, + "loss": 1.6948, + "step": 907 + }, + { + "epoch": 0.44125865629935607, + "grad_norm": 0.7206325531005859, + "learning_rate": 8e-05, + "loss": 1.6411, + "step": 908 + }, + { + "epoch": 0.44174462398250514, + "grad_norm": 0.6802138686180115, + "learning_rate": 8e-05, + "loss": 1.6809, + "step": 909 + }, + { + "epoch": 0.44223059166565426, + "grad_norm": 0.711110532283783, + "learning_rate": 8e-05, + "loss": 1.7, + "step": 910 + }, + { + "epoch": 0.44271655934880333, + "grad_norm": 0.6667793393135071, + "learning_rate": 8e-05, + "loss": 1.6586, + "step": 911 + }, + { + "epoch": 0.4432025270319524, + "grad_norm": 0.7193270325660706, + "learning_rate": 8e-05, + "loss": 1.7688, + "step": 912 + }, + { + "epoch": 0.44368849471510147, + "grad_norm": 0.6943178176879883, + "learning_rate": 8e-05, + "loss": 1.7831, + "step": 913 + }, + { + "epoch": 0.44417446239825054, + "grad_norm": 0.6790280938148499, + "learning_rate": 8e-05, + "loss": 1.7174, + "step": 914 + }, + { + "epoch": 0.4446604300813996, + "grad_norm": 0.7052329182624817, + "learning_rate": 8e-05, + "loss": 1.7705, + "step": 915 + }, + { + "epoch": 0.4451463977645487, + "grad_norm": 0.6999489068984985, + "learning_rate": 8e-05, + "loss": 1.7962, + "step": 916 + }, + { + "epoch": 0.44563236544769774, + "grad_norm": 0.6908236145973206, + "learning_rate": 8e-05, + "loss": 1.8017, + "step": 917 + }, + { + "epoch": 0.4461183331308468, + "grad_norm": 0.7321158051490784, + "learning_rate": 8e-05, + "loss": 1.6769, + "step": 918 + }, + { + "epoch": 0.4466043008139959, + "grad_norm": 0.6623929738998413, + "learning_rate": 8e-05, + "loss": 1.6603, + "step": 919 + }, + { + "epoch": 0.44709026849714495, + "grad_norm": 0.6914306282997131, + "learning_rate": 8e-05, + "loss": 1.6928, + "step": 920 + }, + { + "epoch": 0.447576236180294, + "grad_norm": 0.6833542585372925, + "learning_rate": 8e-05, + "loss": 1.7031, + "step": 921 + }, + { + "epoch": 0.4480622038634431, + "grad_norm": 0.7149777412414551, + "learning_rate": 8e-05, + "loss": 1.693, + "step": 922 + }, + { + "epoch": 0.44854817154659216, + "grad_norm": 0.7228732109069824, + "learning_rate": 8e-05, + "loss": 1.699, + "step": 923 + }, + { + "epoch": 0.4490341392297412, + "grad_norm": 0.68680739402771, + "learning_rate": 8e-05, + "loss": 1.6486, + "step": 924 + }, + { + "epoch": 0.4495201069128903, + "grad_norm": 0.684031069278717, + "learning_rate": 8e-05, + "loss": 1.6912, + "step": 925 + }, + { + "epoch": 0.45000607459603936, + "grad_norm": 0.6929844617843628, + "learning_rate": 8e-05, + "loss": 1.601, + "step": 926 + }, + { + "epoch": 0.45049204227918843, + "grad_norm": 0.7184422016143799, + "learning_rate": 8e-05, + "loss": 1.7476, + "step": 927 + }, + { + "epoch": 0.4509780099623375, + "grad_norm": 0.704727828502655, + "learning_rate": 8e-05, + "loss": 1.5983, + "step": 928 + }, + { + "epoch": 0.45146397764548657, + "grad_norm": 0.7435169816017151, + "learning_rate": 8e-05, + "loss": 1.7228, + "step": 929 + }, + { + "epoch": 0.45194994532863564, + "grad_norm": 0.7119385600090027, + "learning_rate": 8e-05, + "loss": 1.6971, + "step": 930 + }, + { + "epoch": 0.4524359130117847, + "grad_norm": 0.7039663195610046, + "learning_rate": 8e-05, + "loss": 1.627, + "step": 931 + }, + { + "epoch": 0.4529218806949338, + "grad_norm": 0.6682771444320679, + "learning_rate": 8e-05, + "loss": 1.6716, + "step": 932 + }, + { + "epoch": 0.45340784837808285, + "grad_norm": 0.6845352053642273, + "learning_rate": 8e-05, + "loss": 1.7061, + "step": 933 + }, + { + "epoch": 0.4538938160612319, + "grad_norm": 0.6739903092384338, + "learning_rate": 8e-05, + "loss": 1.6599, + "step": 934 + }, + { + "epoch": 0.454379783744381, + "grad_norm": 0.673058271408081, + "learning_rate": 8e-05, + "loss": 1.7172, + "step": 935 + }, + { + "epoch": 0.45486575142753005, + "grad_norm": 0.7266900539398193, + "learning_rate": 8e-05, + "loss": 1.7724, + "step": 936 + }, + { + "epoch": 0.4553517191106791, + "grad_norm": 0.707149088382721, + "learning_rate": 8e-05, + "loss": 1.8268, + "step": 937 + }, + { + "epoch": 0.4558376867938282, + "grad_norm": 0.6685764789581299, + "learning_rate": 8e-05, + "loss": 1.7289, + "step": 938 + }, + { + "epoch": 0.45632365447697726, + "grad_norm": 0.7215582132339478, + "learning_rate": 8e-05, + "loss": 1.7686, + "step": 939 + }, + { + "epoch": 0.4568096221601263, + "grad_norm": 0.741390585899353, + "learning_rate": 8e-05, + "loss": 1.7516, + "step": 940 + }, + { + "epoch": 0.4572955898432754, + "grad_norm": 0.6973326802253723, + "learning_rate": 8e-05, + "loss": 1.6763, + "step": 941 + }, + { + "epoch": 0.45778155752642447, + "grad_norm": 0.7052226662635803, + "learning_rate": 8e-05, + "loss": 1.6543, + "step": 942 + }, + { + "epoch": 0.4582675252095736, + "grad_norm": 0.7032400965690613, + "learning_rate": 8e-05, + "loss": 1.6386, + "step": 943 + }, + { + "epoch": 0.45875349289272266, + "grad_norm": 0.6860877275466919, + "learning_rate": 8e-05, + "loss": 1.6796, + "step": 944 + }, + { + "epoch": 0.4592394605758717, + "grad_norm": 0.7431606650352478, + "learning_rate": 8e-05, + "loss": 1.741, + "step": 945 + }, + { + "epoch": 0.4597254282590208, + "grad_norm": 0.6740962862968445, + "learning_rate": 8e-05, + "loss": 1.7181, + "step": 946 + }, + { + "epoch": 0.46021139594216987, + "grad_norm": 0.707183837890625, + "learning_rate": 8e-05, + "loss": 1.7372, + "step": 947 + }, + { + "epoch": 0.46069736362531893, + "grad_norm": 0.7016905546188354, + "learning_rate": 8e-05, + "loss": 1.7363, + "step": 948 + }, + { + "epoch": 0.461183331308468, + "grad_norm": 0.6717005372047424, + "learning_rate": 8e-05, + "loss": 1.6656, + "step": 949 + }, + { + "epoch": 0.46166929899161707, + "grad_norm": 0.6505550742149353, + "learning_rate": 8e-05, + "loss": 1.5786, + "step": 950 + }, + { + "epoch": 0.46215526667476614, + "grad_norm": 0.6775349974632263, + "learning_rate": 8e-05, + "loss": 1.6237, + "step": 951 + }, + { + "epoch": 0.4626412343579152, + "grad_norm": 0.6711937189102173, + "learning_rate": 8e-05, + "loss": 1.7301, + "step": 952 + }, + { + "epoch": 0.4631272020410643, + "grad_norm": 0.6834034323692322, + "learning_rate": 8e-05, + "loss": 1.718, + "step": 953 + }, + { + "epoch": 0.46361316972421335, + "grad_norm": 0.6843579411506653, + "learning_rate": 8e-05, + "loss": 1.7937, + "step": 954 + }, + { + "epoch": 0.4640991374073624, + "grad_norm": 0.6686553359031677, + "learning_rate": 8e-05, + "loss": 1.7961, + "step": 955 + }, + { + "epoch": 0.4645851050905115, + "grad_norm": 0.6416002511978149, + "learning_rate": 8e-05, + "loss": 1.6599, + "step": 956 + }, + { + "epoch": 0.46507107277366055, + "grad_norm": 0.6630215048789978, + "learning_rate": 8e-05, + "loss": 1.7118, + "step": 957 + }, + { + "epoch": 0.4655570404568096, + "grad_norm": 0.6850245594978333, + "learning_rate": 8e-05, + "loss": 1.7957, + "step": 958 + }, + { + "epoch": 0.4660430081399587, + "grad_norm": 0.6981562376022339, + "learning_rate": 8e-05, + "loss": 1.7848, + "step": 959 + }, + { + "epoch": 0.46652897582310776, + "grad_norm": 0.6983283162117004, + "learning_rate": 8e-05, + "loss": 1.6546, + "step": 960 + }, + { + "epoch": 0.46701494350625683, + "grad_norm": 0.7038816213607788, + "learning_rate": 8e-05, + "loss": 1.8054, + "step": 961 + }, + { + "epoch": 0.4675009111894059, + "grad_norm": 0.6405352354049683, + "learning_rate": 8e-05, + "loss": 1.6331, + "step": 962 + }, + { + "epoch": 0.46798687887255497, + "grad_norm": 0.6842737197875977, + "learning_rate": 8e-05, + "loss": 1.686, + "step": 963 + }, + { + "epoch": 0.46847284655570404, + "grad_norm": 0.6727338433265686, + "learning_rate": 8e-05, + "loss": 1.5686, + "step": 964 + }, + { + "epoch": 0.4689588142388531, + "grad_norm": 0.6844631433486938, + "learning_rate": 8e-05, + "loss": 1.6779, + "step": 965 + }, + { + "epoch": 0.4694447819220022, + "grad_norm": 0.6630315780639648, + "learning_rate": 8e-05, + "loss": 1.6418, + "step": 966 + }, + { + "epoch": 0.46993074960515124, + "grad_norm": 0.6761659383773804, + "learning_rate": 8e-05, + "loss": 1.7039, + "step": 967 + }, + { + "epoch": 0.4704167172883003, + "grad_norm": 0.673235297203064, + "learning_rate": 8e-05, + "loss": 1.6502, + "step": 968 + }, + { + "epoch": 0.4709026849714494, + "grad_norm": 0.7071899771690369, + "learning_rate": 8e-05, + "loss": 1.75, + "step": 969 + }, + { + "epoch": 0.47138865265459845, + "grad_norm": 0.6871898770332336, + "learning_rate": 8e-05, + "loss": 1.6775, + "step": 970 + }, + { + "epoch": 0.4718746203377475, + "grad_norm": 0.6730138063430786, + "learning_rate": 8e-05, + "loss": 1.6927, + "step": 971 + }, + { + "epoch": 0.4723605880208966, + "grad_norm": 0.6996859312057495, + "learning_rate": 8e-05, + "loss": 1.6185, + "step": 972 + }, + { + "epoch": 0.47284655570404566, + "grad_norm": 0.7092289924621582, + "learning_rate": 8e-05, + "loss": 1.7848, + "step": 973 + }, + { + "epoch": 0.4733325233871947, + "grad_norm": 0.7551800608634949, + "learning_rate": 8e-05, + "loss": 1.7257, + "step": 974 + }, + { + "epoch": 0.4738184910703438, + "grad_norm": 0.6844103336334229, + "learning_rate": 8e-05, + "loss": 1.7648, + "step": 975 + }, + { + "epoch": 0.4743044587534929, + "grad_norm": 0.8119296431541443, + "learning_rate": 8e-05, + "loss": 1.637, + "step": 976 + }, + { + "epoch": 0.474790426436642, + "grad_norm": 0.7059913873672485, + "learning_rate": 8e-05, + "loss": 1.6914, + "step": 977 + }, + { + "epoch": 0.47527639411979106, + "grad_norm": 0.6748428344726562, + "learning_rate": 8e-05, + "loss": 1.6814, + "step": 978 + }, + { + "epoch": 0.4757623618029401, + "grad_norm": 0.6687542796134949, + "learning_rate": 8e-05, + "loss": 1.7119, + "step": 979 + }, + { + "epoch": 0.4762483294860892, + "grad_norm": 0.6950284838676453, + "learning_rate": 8e-05, + "loss": 1.7841, + "step": 980 + }, + { + "epoch": 0.47673429716923826, + "grad_norm": 0.6974992752075195, + "learning_rate": 8e-05, + "loss": 1.7525, + "step": 981 + }, + { + "epoch": 0.47722026485238733, + "grad_norm": 0.7307083010673523, + "learning_rate": 8e-05, + "loss": 1.7173, + "step": 982 + }, + { + "epoch": 0.4777062325355364, + "grad_norm": 0.6927682161331177, + "learning_rate": 8e-05, + "loss": 1.7385, + "step": 983 + }, + { + "epoch": 0.47819220021868547, + "grad_norm": 0.7314983606338501, + "learning_rate": 8e-05, + "loss": 1.7581, + "step": 984 + }, + { + "epoch": 0.47867816790183454, + "grad_norm": 0.7015753388404846, + "learning_rate": 8e-05, + "loss": 1.6908, + "step": 985 + }, + { + "epoch": 0.4791641355849836, + "grad_norm": 0.7249748706817627, + "learning_rate": 8e-05, + "loss": 1.71, + "step": 986 + }, + { + "epoch": 0.4796501032681327, + "grad_norm": 0.6497809290885925, + "learning_rate": 8e-05, + "loss": 1.6395, + "step": 987 + }, + { + "epoch": 0.48013607095128175, + "grad_norm": 0.7022762298583984, + "learning_rate": 8e-05, + "loss": 1.6537, + "step": 988 + }, + { + "epoch": 0.4806220386344308, + "grad_norm": 0.7135415077209473, + "learning_rate": 8e-05, + "loss": 1.704, + "step": 989 + }, + { + "epoch": 0.4811080063175799, + "grad_norm": 0.6976737976074219, + "learning_rate": 8e-05, + "loss": 1.7815, + "step": 990 + }, + { + "epoch": 0.48159397400072895, + "grad_norm": 0.683862566947937, + "learning_rate": 8e-05, + "loss": 1.6496, + "step": 991 + }, + { + "epoch": 0.482079941683878, + "grad_norm": 0.6709874272346497, + "learning_rate": 8e-05, + "loss": 1.6932, + "step": 992 + }, + { + "epoch": 0.4825659093670271, + "grad_norm": 0.7125788331031799, + "learning_rate": 8e-05, + "loss": 1.7091, + "step": 993 + }, + { + "epoch": 0.48305187705017616, + "grad_norm": 0.6912755966186523, + "learning_rate": 8e-05, + "loss": 1.7835, + "step": 994 + }, + { + "epoch": 0.48353784473332523, + "grad_norm": 0.7357064485549927, + "learning_rate": 8e-05, + "loss": 1.7512, + "step": 995 + }, + { + "epoch": 0.4840238124164743, + "grad_norm": 0.6826263666152954, + "learning_rate": 8e-05, + "loss": 1.6849, + "step": 996 + }, + { + "epoch": 0.48450978009962337, + "grad_norm": 0.7202624678611755, + "learning_rate": 8e-05, + "loss": 1.7009, + "step": 997 + }, + { + "epoch": 0.48499574778277244, + "grad_norm": 0.6897886991500854, + "learning_rate": 8e-05, + "loss": 1.702, + "step": 998 + }, + { + "epoch": 0.4854817154659215, + "grad_norm": 0.6974169611930847, + "learning_rate": 8e-05, + "loss": 1.7423, + "step": 999 + }, + { + "epoch": 0.4859676831490706, + "grad_norm": 0.6582604646682739, + "learning_rate": 8e-05, + "loss": 1.7295, + "step": 1000 + }, + { + "epoch": 0.48645365083221964, + "grad_norm": 0.6589087247848511, + "learning_rate": 8e-05, + "loss": 1.6061, + "step": 1001 + }, + { + "epoch": 0.4869396185153687, + "grad_norm": 0.6788417100906372, + "learning_rate": 8e-05, + "loss": 1.7109, + "step": 1002 + }, + { + "epoch": 0.4874255861985178, + "grad_norm": 0.6648368835449219, + "learning_rate": 8e-05, + "loss": 1.6986, + "step": 1003 + }, + { + "epoch": 0.48791155388166685, + "grad_norm": 0.7064778804779053, + "learning_rate": 8e-05, + "loss": 1.7699, + "step": 1004 + }, + { + "epoch": 0.4883975215648159, + "grad_norm": 0.6786182522773743, + "learning_rate": 8e-05, + "loss": 1.6681, + "step": 1005 + }, + { + "epoch": 0.488883489247965, + "grad_norm": 0.6443123817443848, + "learning_rate": 8e-05, + "loss": 1.5953, + "step": 1006 + }, + { + "epoch": 0.48936945693111406, + "grad_norm": 0.6474608182907104, + "learning_rate": 8e-05, + "loss": 1.6378, + "step": 1007 + }, + { + "epoch": 0.4898554246142631, + "grad_norm": 0.6983360648155212, + "learning_rate": 8e-05, + "loss": 1.7295, + "step": 1008 + }, + { + "epoch": 0.49034139229741225, + "grad_norm": 0.6883093118667603, + "learning_rate": 8e-05, + "loss": 1.7896, + "step": 1009 + }, + { + "epoch": 0.4908273599805613, + "grad_norm": 0.6982046365737915, + "learning_rate": 8e-05, + "loss": 1.7487, + "step": 1010 + }, + { + "epoch": 0.4913133276637104, + "grad_norm": 0.6386318802833557, + "learning_rate": 8e-05, + "loss": 1.5755, + "step": 1011 + }, + { + "epoch": 0.49179929534685946, + "grad_norm": 0.7076333165168762, + "learning_rate": 8e-05, + "loss": 1.785, + "step": 1012 + }, + { + "epoch": 0.4922852630300085, + "grad_norm": 0.6782214045524597, + "learning_rate": 8e-05, + "loss": 1.7385, + "step": 1013 + }, + { + "epoch": 0.4927712307131576, + "grad_norm": 0.6707011461257935, + "learning_rate": 8e-05, + "loss": 1.6847, + "step": 1014 + }, + { + "epoch": 0.49325719839630666, + "grad_norm": 0.672001838684082, + "learning_rate": 8e-05, + "loss": 1.6738, + "step": 1015 + }, + { + "epoch": 0.49374316607945573, + "grad_norm": 0.6605908870697021, + "learning_rate": 8e-05, + "loss": 1.7217, + "step": 1016 + }, + { + "epoch": 0.4942291337626048, + "grad_norm": 0.6649426817893982, + "learning_rate": 8e-05, + "loss": 1.6874, + "step": 1017 + }, + { + "epoch": 0.49471510144575387, + "grad_norm": 0.6722491383552551, + "learning_rate": 8e-05, + "loss": 1.6404, + "step": 1018 + }, + { + "epoch": 0.49520106912890294, + "grad_norm": 0.6372204422950745, + "learning_rate": 8e-05, + "loss": 1.6603, + "step": 1019 + }, + { + "epoch": 0.495687036812052, + "grad_norm": 0.6632013916969299, + "learning_rate": 8e-05, + "loss": 1.6326, + "step": 1020 + }, + { + "epoch": 0.4961730044952011, + "grad_norm": 0.6747928261756897, + "learning_rate": 8e-05, + "loss": 1.7608, + "step": 1021 + }, + { + "epoch": 0.49665897217835014, + "grad_norm": 0.6605545878410339, + "learning_rate": 8e-05, + "loss": 1.6918, + "step": 1022 + }, + { + "epoch": 0.4971449398614992, + "grad_norm": 0.6780149936676025, + "learning_rate": 8e-05, + "loss": 1.7652, + "step": 1023 + }, + { + "epoch": 0.4976309075446483, + "grad_norm": 0.6795799136161804, + "learning_rate": 8e-05, + "loss": 1.7847, + "step": 1024 + }, + { + "epoch": 0.49811687522779735, + "grad_norm": 0.6555472016334534, + "learning_rate": 8e-05, + "loss": 1.6776, + "step": 1025 + }, + { + "epoch": 0.4986028429109464, + "grad_norm": 0.6981608867645264, + "learning_rate": 8e-05, + "loss": 1.7474, + "step": 1026 + }, + { + "epoch": 0.4990888105940955, + "grad_norm": 0.7160595655441284, + "learning_rate": 8e-05, + "loss": 1.7485, + "step": 1027 + }, + { + "epoch": 0.49957477827724456, + "grad_norm": 0.701192319393158, + "learning_rate": 8e-05, + "loss": 1.6572, + "step": 1028 + }, + { + "epoch": 0.5000607459603936, + "grad_norm": 0.6892615556716919, + "learning_rate": 8e-05, + "loss": 1.787, + "step": 1029 + }, + { + "epoch": 0.5005467136435428, + "grad_norm": 0.696123480796814, + "learning_rate": 8e-05, + "loss": 1.6004, + "step": 1030 + }, + { + "epoch": 0.5010326813266918, + "grad_norm": 0.6587275266647339, + "learning_rate": 8e-05, + "loss": 1.662, + "step": 1031 + }, + { + "epoch": 0.5015186490098409, + "grad_norm": 0.6967602968215942, + "learning_rate": 8e-05, + "loss": 1.6713, + "step": 1032 + }, + { + "epoch": 0.5020046166929899, + "grad_norm": 0.6858366131782532, + "learning_rate": 8e-05, + "loss": 1.655, + "step": 1033 + }, + { + "epoch": 0.502490584376139, + "grad_norm": 0.6969988346099854, + "learning_rate": 8e-05, + "loss": 1.7654, + "step": 1034 + }, + { + "epoch": 0.502976552059288, + "grad_norm": 0.6985758543014526, + "learning_rate": 8e-05, + "loss": 1.7236, + "step": 1035 + }, + { + "epoch": 0.5034625197424372, + "grad_norm": 0.690239667892456, + "learning_rate": 8e-05, + "loss": 1.7359, + "step": 1036 + }, + { + "epoch": 0.5039484874255862, + "grad_norm": 0.6656016111373901, + "learning_rate": 8e-05, + "loss": 1.6691, + "step": 1037 + }, + { + "epoch": 0.5044344551087353, + "grad_norm": 0.6736864447593689, + "learning_rate": 8e-05, + "loss": 1.6993, + "step": 1038 + }, + { + "epoch": 0.5049204227918843, + "grad_norm": 0.6747360229492188, + "learning_rate": 8e-05, + "loss": 1.6164, + "step": 1039 + }, + { + "epoch": 0.5054063904750334, + "grad_norm": 0.6757073998451233, + "learning_rate": 8e-05, + "loss": 1.7767, + "step": 1040 + }, + { + "epoch": 0.5058923581581825, + "grad_norm": 0.7053402662277222, + "learning_rate": 8e-05, + "loss": 1.7843, + "step": 1041 + }, + { + "epoch": 0.5063783258413316, + "grad_norm": 0.6746927499771118, + "learning_rate": 8e-05, + "loss": 1.6911, + "step": 1042 + }, + { + "epoch": 0.5068642935244806, + "grad_norm": 0.7140036225318909, + "learning_rate": 8e-05, + "loss": 1.7887, + "step": 1043 + }, + { + "epoch": 0.5073502612076297, + "grad_norm": 0.6578049659729004, + "learning_rate": 8e-05, + "loss": 1.6552, + "step": 1044 + }, + { + "epoch": 0.5078362288907787, + "grad_norm": 0.7378446459770203, + "learning_rate": 8e-05, + "loss": 1.8959, + "step": 1045 + }, + { + "epoch": 0.5083221965739279, + "grad_norm": 0.669704794883728, + "learning_rate": 8e-05, + "loss": 1.6415, + "step": 1046 + }, + { + "epoch": 0.5088081642570769, + "grad_norm": 0.6754531264305115, + "learning_rate": 8e-05, + "loss": 1.6027, + "step": 1047 + }, + { + "epoch": 0.509294131940226, + "grad_norm": 0.693828821182251, + "learning_rate": 8e-05, + "loss": 1.683, + "step": 1048 + }, + { + "epoch": 0.509780099623375, + "grad_norm": 0.7376023530960083, + "learning_rate": 8e-05, + "loss": 1.7007, + "step": 1049 + }, + { + "epoch": 0.5102660673065241, + "grad_norm": 0.7014142870903015, + "learning_rate": 8e-05, + "loss": 1.7452, + "step": 1050 + }, + { + "epoch": 0.5107520349896731, + "grad_norm": 0.7107053399085999, + "learning_rate": 8e-05, + "loss": 1.7412, + "step": 1051 + }, + { + "epoch": 0.5112380026728223, + "grad_norm": 0.7034938335418701, + "learning_rate": 8e-05, + "loss": 1.7001, + "step": 1052 + }, + { + "epoch": 0.5117239703559713, + "grad_norm": 0.6613598465919495, + "learning_rate": 8e-05, + "loss": 1.7274, + "step": 1053 + }, + { + "epoch": 0.5122099380391204, + "grad_norm": 0.7322868704795837, + "learning_rate": 8e-05, + "loss": 1.73, + "step": 1054 + }, + { + "epoch": 0.5126959057222694, + "grad_norm": 0.6688373684883118, + "learning_rate": 8e-05, + "loss": 1.7351, + "step": 1055 + }, + { + "epoch": 0.5131818734054185, + "grad_norm": 0.7376517057418823, + "learning_rate": 8e-05, + "loss": 1.7381, + "step": 1056 + }, + { + "epoch": 0.5136678410885676, + "grad_norm": 0.6638660430908203, + "learning_rate": 8e-05, + "loss": 1.6387, + "step": 1057 + }, + { + "epoch": 0.5141538087717167, + "grad_norm": 0.7435979843139648, + "learning_rate": 8e-05, + "loss": 1.8159, + "step": 1058 + }, + { + "epoch": 0.5146397764548658, + "grad_norm": 0.6750348210334778, + "learning_rate": 8e-05, + "loss": 1.6696, + "step": 1059 + }, + { + "epoch": 0.5151257441380148, + "grad_norm": 0.688221275806427, + "learning_rate": 8e-05, + "loss": 1.722, + "step": 1060 + }, + { + "epoch": 0.5156117118211639, + "grad_norm": 0.667355477809906, + "learning_rate": 8e-05, + "loss": 1.6996, + "step": 1061 + }, + { + "epoch": 0.516097679504313, + "grad_norm": 0.7043483853340149, + "learning_rate": 8e-05, + "loss": 1.7123, + "step": 1062 + }, + { + "epoch": 0.5165836471874621, + "grad_norm": 0.6757128834724426, + "learning_rate": 8e-05, + "loss": 1.8093, + "step": 1063 + }, + { + "epoch": 0.5170696148706111, + "grad_norm": 0.6613709330558777, + "learning_rate": 8e-05, + "loss": 1.7407, + "step": 1064 + }, + { + "epoch": 0.5175555825537602, + "grad_norm": 0.6824665665626526, + "learning_rate": 8e-05, + "loss": 1.7187, + "step": 1065 + }, + { + "epoch": 0.5180415502369092, + "grad_norm": 0.6840562224388123, + "learning_rate": 8e-05, + "loss": 1.7, + "step": 1066 + }, + { + "epoch": 0.5185275179200584, + "grad_norm": 0.6628724932670593, + "learning_rate": 8e-05, + "loss": 1.5835, + "step": 1067 + }, + { + "epoch": 0.5190134856032074, + "grad_norm": 0.6936410665512085, + "learning_rate": 8e-05, + "loss": 1.7947, + "step": 1068 + }, + { + "epoch": 0.5194994532863565, + "grad_norm": 0.6807119250297546, + "learning_rate": 8e-05, + "loss": 1.7051, + "step": 1069 + }, + { + "epoch": 0.5199854209695055, + "grad_norm": 0.6959723234176636, + "learning_rate": 8e-05, + "loss": 1.6849, + "step": 1070 + }, + { + "epoch": 0.5204713886526546, + "grad_norm": 0.6840643882751465, + "learning_rate": 8e-05, + "loss": 1.76, + "step": 1071 + }, + { + "epoch": 0.5209573563358036, + "grad_norm": 0.6923168897628784, + "learning_rate": 8e-05, + "loss": 1.651, + "step": 1072 + }, + { + "epoch": 0.5214433240189528, + "grad_norm": 0.6913697123527527, + "learning_rate": 8e-05, + "loss": 1.6084, + "step": 1073 + }, + { + "epoch": 0.5219292917021018, + "grad_norm": 0.7328845262527466, + "learning_rate": 8e-05, + "loss": 1.6404, + "step": 1074 + }, + { + "epoch": 0.5224152593852509, + "grad_norm": 0.7062130570411682, + "learning_rate": 8e-05, + "loss": 1.7286, + "step": 1075 + }, + { + "epoch": 0.5229012270683999, + "grad_norm": 0.7092142105102539, + "learning_rate": 8e-05, + "loss": 1.7618, + "step": 1076 + }, + { + "epoch": 0.523387194751549, + "grad_norm": 0.6776517033576965, + "learning_rate": 8e-05, + "loss": 1.7858, + "step": 1077 + }, + { + "epoch": 0.5238731624346981, + "grad_norm": 0.7153838276863098, + "learning_rate": 8e-05, + "loss": 1.7419, + "step": 1078 + }, + { + "epoch": 0.5243591301178472, + "grad_norm": 0.6707956790924072, + "learning_rate": 8e-05, + "loss": 1.6106, + "step": 1079 + }, + { + "epoch": 0.5248450978009962, + "grad_norm": 0.6869599223136902, + "learning_rate": 8e-05, + "loss": 1.7611, + "step": 1080 + }, + { + "epoch": 0.5253310654841453, + "grad_norm": 0.6967989206314087, + "learning_rate": 8e-05, + "loss": 1.7347, + "step": 1081 + }, + { + "epoch": 0.5258170331672943, + "grad_norm": 0.6940819025039673, + "learning_rate": 8e-05, + "loss": 1.7525, + "step": 1082 + }, + { + "epoch": 0.5263030008504435, + "grad_norm": 0.6862159371376038, + "learning_rate": 8e-05, + "loss": 1.7608, + "step": 1083 + }, + { + "epoch": 0.5267889685335925, + "grad_norm": 0.792173445224762, + "learning_rate": 8e-05, + "loss": 1.6708, + "step": 1084 + }, + { + "epoch": 0.5272749362167416, + "grad_norm": 0.7116245627403259, + "learning_rate": 8e-05, + "loss": 1.8339, + "step": 1085 + }, + { + "epoch": 0.5277609038998906, + "grad_norm": 0.6545159816741943, + "learning_rate": 8e-05, + "loss": 1.6607, + "step": 1086 + }, + { + "epoch": 0.5282468715830397, + "grad_norm": 0.6704550981521606, + "learning_rate": 8e-05, + "loss": 1.6507, + "step": 1087 + }, + { + "epoch": 0.5287328392661887, + "grad_norm": 0.6805651187896729, + "learning_rate": 8e-05, + "loss": 1.6781, + "step": 1088 + }, + { + "epoch": 0.5292188069493379, + "grad_norm": 0.7035424709320068, + "learning_rate": 8e-05, + "loss": 1.7513, + "step": 1089 + }, + { + "epoch": 0.5297047746324869, + "grad_norm": 0.6777779459953308, + "learning_rate": 8e-05, + "loss": 1.6119, + "step": 1090 + }, + { + "epoch": 0.530190742315636, + "grad_norm": 0.6916229128837585, + "learning_rate": 8e-05, + "loss": 1.6481, + "step": 1091 + }, + { + "epoch": 0.5306767099987851, + "grad_norm": 0.6896541118621826, + "learning_rate": 8e-05, + "loss": 1.6588, + "step": 1092 + }, + { + "epoch": 0.5311626776819341, + "grad_norm": 0.6746338605880737, + "learning_rate": 8e-05, + "loss": 1.6696, + "step": 1093 + }, + { + "epoch": 0.5316486453650833, + "grad_norm": 0.7134196758270264, + "learning_rate": 8e-05, + "loss": 1.7404, + "step": 1094 + }, + { + "epoch": 0.5321346130482323, + "grad_norm": 0.7049342393875122, + "learning_rate": 8e-05, + "loss": 1.6827, + "step": 1095 + }, + { + "epoch": 0.5326205807313814, + "grad_norm": 0.7187740206718445, + "learning_rate": 8e-05, + "loss": 1.7568, + "step": 1096 + }, + { + "epoch": 0.5331065484145304, + "grad_norm": 0.6730419397354126, + "learning_rate": 8e-05, + "loss": 1.669, + "step": 1097 + }, + { + "epoch": 0.5335925160976795, + "grad_norm": 0.7545679807662964, + "learning_rate": 8e-05, + "loss": 1.7155, + "step": 1098 + }, + { + "epoch": 0.5340784837808286, + "grad_norm": 0.682472825050354, + "learning_rate": 8e-05, + "loss": 1.7001, + "step": 1099 + }, + { + "epoch": 0.5345644514639777, + "grad_norm": 0.6999737024307251, + "learning_rate": 8e-05, + "loss": 1.7233, + "step": 1100 + }, + { + "epoch": 0.5350504191471267, + "grad_norm": 0.6580104827880859, + "learning_rate": 8e-05, + "loss": 1.6988, + "step": 1101 + }, + { + "epoch": 0.5355363868302758, + "grad_norm": 0.7009209990501404, + "learning_rate": 8e-05, + "loss": 1.7606, + "step": 1102 + }, + { + "epoch": 0.5360223545134248, + "grad_norm": 0.6509638428688049, + "learning_rate": 8e-05, + "loss": 1.6495, + "step": 1103 + }, + { + "epoch": 0.536508322196574, + "grad_norm": 0.7591949105262756, + "learning_rate": 8e-05, + "loss": 1.7161, + "step": 1104 + }, + { + "epoch": 0.536994289879723, + "grad_norm": 0.7702423334121704, + "learning_rate": 8e-05, + "loss": 1.804, + "step": 1105 + }, + { + "epoch": 0.5374802575628721, + "grad_norm": 0.7488783001899719, + "learning_rate": 8e-05, + "loss": 1.7808, + "step": 1106 + }, + { + "epoch": 0.5379662252460211, + "grad_norm": 0.6847324967384338, + "learning_rate": 8e-05, + "loss": 1.7346, + "step": 1107 + }, + { + "epoch": 0.5384521929291702, + "grad_norm": 0.6858810782432556, + "learning_rate": 8e-05, + "loss": 1.7615, + "step": 1108 + }, + { + "epoch": 0.5389381606123193, + "grad_norm": 0.7295746803283691, + "learning_rate": 8e-05, + "loss": 1.6769, + "step": 1109 + }, + { + "epoch": 0.5394241282954684, + "grad_norm": 0.6610291004180908, + "learning_rate": 8e-05, + "loss": 1.6992, + "step": 1110 + }, + { + "epoch": 0.5399100959786174, + "grad_norm": 0.7642123103141785, + "learning_rate": 8e-05, + "loss": 1.692, + "step": 1111 + }, + { + "epoch": 0.5403960636617665, + "grad_norm": 0.7037755250930786, + "learning_rate": 8e-05, + "loss": 1.7074, + "step": 1112 + }, + { + "epoch": 0.5408820313449155, + "grad_norm": 0.7020889520645142, + "learning_rate": 8e-05, + "loss": 1.7325, + "step": 1113 + }, + { + "epoch": 0.5413679990280647, + "grad_norm": 0.6954485774040222, + "learning_rate": 8e-05, + "loss": 1.697, + "step": 1114 + }, + { + "epoch": 0.5418539667112137, + "grad_norm": 0.6591249704360962, + "learning_rate": 8e-05, + "loss": 1.6332, + "step": 1115 + }, + { + "epoch": 0.5423399343943628, + "grad_norm": 0.7541276812553406, + "learning_rate": 8e-05, + "loss": 1.803, + "step": 1116 + }, + { + "epoch": 0.5428259020775118, + "grad_norm": 0.6712557077407837, + "learning_rate": 8e-05, + "loss": 1.8162, + "step": 1117 + }, + { + "epoch": 0.5433118697606609, + "grad_norm": 0.7443874478340149, + "learning_rate": 8e-05, + "loss": 1.733, + "step": 1118 + }, + { + "epoch": 0.5437978374438099, + "grad_norm": 0.6772555112838745, + "learning_rate": 8e-05, + "loss": 1.609, + "step": 1119 + }, + { + "epoch": 0.5442838051269591, + "grad_norm": 0.697890043258667, + "learning_rate": 8e-05, + "loss": 1.6882, + "step": 1120 + }, + { + "epoch": 0.5447697728101081, + "grad_norm": 0.6418668627738953, + "learning_rate": 8e-05, + "loss": 1.6304, + "step": 1121 + }, + { + "epoch": 0.5452557404932572, + "grad_norm": 0.7052850127220154, + "learning_rate": 8e-05, + "loss": 1.7692, + "step": 1122 + }, + { + "epoch": 0.5457417081764062, + "grad_norm": 0.6747222542762756, + "learning_rate": 8e-05, + "loss": 1.6501, + "step": 1123 + }, + { + "epoch": 0.5462276758595553, + "grad_norm": 0.6862781643867493, + "learning_rate": 8e-05, + "loss": 1.6592, + "step": 1124 + }, + { + "epoch": 0.5467136435427045, + "grad_norm": 0.6705482602119446, + "learning_rate": 8e-05, + "loss": 1.7713, + "step": 1125 + }, + { + "epoch": 0.5471996112258535, + "grad_norm": 0.7051555514335632, + "learning_rate": 8e-05, + "loss": 1.6661, + "step": 1126 + }, + { + "epoch": 0.5476855789090026, + "grad_norm": 0.6723673939704895, + "learning_rate": 8e-05, + "loss": 1.5912, + "step": 1127 + }, + { + "epoch": 0.5481715465921516, + "grad_norm": 0.6593241691589355, + "learning_rate": 8e-05, + "loss": 1.6355, + "step": 1128 + }, + { + "epoch": 0.5486575142753007, + "grad_norm": 0.682691216468811, + "learning_rate": 8e-05, + "loss": 1.6931, + "step": 1129 + }, + { + "epoch": 0.5491434819584498, + "grad_norm": 0.7138491868972778, + "learning_rate": 8e-05, + "loss": 1.7887, + "step": 1130 + }, + { + "epoch": 0.5496294496415989, + "grad_norm": 0.6577277183532715, + "learning_rate": 8e-05, + "loss": 1.6587, + "step": 1131 + }, + { + "epoch": 0.5501154173247479, + "grad_norm": 0.673745334148407, + "learning_rate": 8e-05, + "loss": 1.6854, + "step": 1132 + }, + { + "epoch": 0.550601385007897, + "grad_norm": 0.6557290554046631, + "learning_rate": 8e-05, + "loss": 1.6194, + "step": 1133 + }, + { + "epoch": 0.551087352691046, + "grad_norm": 0.6759630441665649, + "learning_rate": 8e-05, + "loss": 1.6773, + "step": 1134 + }, + { + "epoch": 0.5515733203741952, + "grad_norm": 0.7059656381607056, + "learning_rate": 8e-05, + "loss": 1.6898, + "step": 1135 + }, + { + "epoch": 0.5520592880573442, + "grad_norm": 0.6711774468421936, + "learning_rate": 8e-05, + "loss": 1.5991, + "step": 1136 + }, + { + "epoch": 0.5525452557404933, + "grad_norm": 0.6710250377655029, + "learning_rate": 8e-05, + "loss": 1.7062, + "step": 1137 + }, + { + "epoch": 0.5530312234236423, + "grad_norm": 0.6695495843887329, + "learning_rate": 8e-05, + "loss": 1.7922, + "step": 1138 + }, + { + "epoch": 0.5535171911067914, + "grad_norm": 0.6507815718650818, + "learning_rate": 8e-05, + "loss": 1.6887, + "step": 1139 + }, + { + "epoch": 0.5540031587899404, + "grad_norm": 0.6614372134208679, + "learning_rate": 8e-05, + "loss": 1.7116, + "step": 1140 + }, + { + "epoch": 0.5544891264730896, + "grad_norm": 0.6573963761329651, + "learning_rate": 8e-05, + "loss": 1.7216, + "step": 1141 + }, + { + "epoch": 0.5549750941562386, + "grad_norm": 0.6942079067230225, + "learning_rate": 8e-05, + "loss": 1.6854, + "step": 1142 + }, + { + "epoch": 0.5554610618393877, + "grad_norm": 0.6856942176818848, + "learning_rate": 8e-05, + "loss": 1.789, + "step": 1143 + }, + { + "epoch": 0.5559470295225367, + "grad_norm": 0.6599071621894836, + "learning_rate": 8e-05, + "loss": 1.6855, + "step": 1144 + }, + { + "epoch": 0.5564329972056858, + "grad_norm": 0.6450647115707397, + "learning_rate": 8e-05, + "loss": 1.663, + "step": 1145 + }, + { + "epoch": 0.5569189648888349, + "grad_norm": 0.6622946858406067, + "learning_rate": 8e-05, + "loss": 1.7176, + "step": 1146 + }, + { + "epoch": 0.557404932571984, + "grad_norm": 0.680656909942627, + "learning_rate": 8e-05, + "loss": 1.6539, + "step": 1147 + }, + { + "epoch": 0.557890900255133, + "grad_norm": 0.6791431903839111, + "learning_rate": 8e-05, + "loss": 1.6389, + "step": 1148 + }, + { + "epoch": 0.5583768679382821, + "grad_norm": 0.6704488396644592, + "learning_rate": 8e-05, + "loss": 1.6644, + "step": 1149 + }, + { + "epoch": 0.5588628356214311, + "grad_norm": 0.6784191131591797, + "learning_rate": 8e-05, + "loss": 1.7046, + "step": 1150 + }, + { + "epoch": 0.5593488033045803, + "grad_norm": 0.6725232005119324, + "learning_rate": 8e-05, + "loss": 1.6476, + "step": 1151 + }, + { + "epoch": 0.5598347709877293, + "grad_norm": 0.6413189172744751, + "learning_rate": 8e-05, + "loss": 1.5653, + "step": 1152 + }, + { + "epoch": 0.5603207386708784, + "grad_norm": 0.6819736957550049, + "learning_rate": 8e-05, + "loss": 1.7429, + "step": 1153 + }, + { + "epoch": 0.5608067063540274, + "grad_norm": 0.6808190941810608, + "learning_rate": 8e-05, + "loss": 1.7261, + "step": 1154 + }, + { + "epoch": 0.5612926740371765, + "grad_norm": 0.659640908241272, + "learning_rate": 8e-05, + "loss": 1.7365, + "step": 1155 + }, + { + "epoch": 0.5617786417203255, + "grad_norm": 0.6655954122543335, + "learning_rate": 8e-05, + "loss": 1.667, + "step": 1156 + }, + { + "epoch": 0.5622646094034747, + "grad_norm": 0.6755356192588806, + "learning_rate": 8e-05, + "loss": 1.6884, + "step": 1157 + }, + { + "epoch": 0.5627505770866238, + "grad_norm": 0.6537230014801025, + "learning_rate": 8e-05, + "loss": 1.655, + "step": 1158 + }, + { + "epoch": 0.5632365447697728, + "grad_norm": 0.6520752906799316, + "learning_rate": 8e-05, + "loss": 1.6876, + "step": 1159 + }, + { + "epoch": 0.5637225124529219, + "grad_norm": 0.6777552962303162, + "learning_rate": 8e-05, + "loss": 1.7346, + "step": 1160 + }, + { + "epoch": 0.564208480136071, + "grad_norm": 0.6801326870918274, + "learning_rate": 8e-05, + "loss": 1.6431, + "step": 1161 + }, + { + "epoch": 0.5646944478192201, + "grad_norm": 0.6536253094673157, + "learning_rate": 8e-05, + "loss": 1.6213, + "step": 1162 + }, + { + "epoch": 0.5651804155023691, + "grad_norm": 0.6658689975738525, + "learning_rate": 8e-05, + "loss": 1.7144, + "step": 1163 + }, + { + "epoch": 0.5656663831855182, + "grad_norm": 0.6927465200424194, + "learning_rate": 8e-05, + "loss": 1.8414, + "step": 1164 + }, + { + "epoch": 0.5661523508686672, + "grad_norm": 0.6576777100563049, + "learning_rate": 8e-05, + "loss": 1.6705, + "step": 1165 + }, + { + "epoch": 0.5666383185518163, + "grad_norm": 0.6840883493423462, + "learning_rate": 8e-05, + "loss": 1.7135, + "step": 1166 + }, + { + "epoch": 0.5671242862349654, + "grad_norm": 0.7268074154853821, + "learning_rate": 8e-05, + "loss": 1.6994, + "step": 1167 + }, + { + "epoch": 0.5676102539181145, + "grad_norm": 0.6900855302810669, + "learning_rate": 8e-05, + "loss": 1.7193, + "step": 1168 + }, + { + "epoch": 0.5680962216012635, + "grad_norm": 0.6806018352508545, + "learning_rate": 8e-05, + "loss": 1.7718, + "step": 1169 + }, + { + "epoch": 0.5685821892844126, + "grad_norm": 0.683824896812439, + "learning_rate": 8e-05, + "loss": 1.6555, + "step": 1170 + }, + { + "epoch": 0.5690681569675616, + "grad_norm": 0.6862534284591675, + "learning_rate": 8e-05, + "loss": 1.7172, + "step": 1171 + }, + { + "epoch": 0.5695541246507108, + "grad_norm": 0.6748654246330261, + "learning_rate": 8e-05, + "loss": 1.7235, + "step": 1172 + }, + { + "epoch": 0.5700400923338598, + "grad_norm": 0.6655370593070984, + "learning_rate": 8e-05, + "loss": 1.6982, + "step": 1173 + }, + { + "epoch": 0.5705260600170089, + "grad_norm": 0.6745444536209106, + "learning_rate": 8e-05, + "loss": 1.6692, + "step": 1174 + }, + { + "epoch": 0.5710120277001579, + "grad_norm": 0.6913198828697205, + "learning_rate": 8e-05, + "loss": 1.6696, + "step": 1175 + }, + { + "epoch": 0.571497995383307, + "grad_norm": 0.6696571707725525, + "learning_rate": 8e-05, + "loss": 1.7032, + "step": 1176 + }, + { + "epoch": 0.571983963066456, + "grad_norm": 0.7033218741416931, + "learning_rate": 8e-05, + "loss": 1.7794, + "step": 1177 + }, + { + "epoch": 0.5724699307496052, + "grad_norm": 0.6802006363868713, + "learning_rate": 8e-05, + "loss": 1.7003, + "step": 1178 + }, + { + "epoch": 0.5729558984327542, + "grad_norm": 0.6938331723213196, + "learning_rate": 8e-05, + "loss": 1.7271, + "step": 1179 + }, + { + "epoch": 0.5734418661159033, + "grad_norm": 0.6567596793174744, + "learning_rate": 8e-05, + "loss": 1.6777, + "step": 1180 + }, + { + "epoch": 0.5739278337990523, + "grad_norm": 0.6705310344696045, + "learning_rate": 8e-05, + "loss": 1.6928, + "step": 1181 + }, + { + "epoch": 0.5744138014822014, + "grad_norm": 0.7192783951759338, + "learning_rate": 8e-05, + "loss": 1.7905, + "step": 1182 + }, + { + "epoch": 0.5748997691653505, + "grad_norm": 0.6790586709976196, + "learning_rate": 8e-05, + "loss": 1.6583, + "step": 1183 + }, + { + "epoch": 0.5753857368484996, + "grad_norm": 0.7103889584541321, + "learning_rate": 8e-05, + "loss": 1.699, + "step": 1184 + }, + { + "epoch": 0.5758717045316486, + "grad_norm": 0.678926944732666, + "learning_rate": 8e-05, + "loss": 1.7732, + "step": 1185 + }, + { + "epoch": 0.5763576722147977, + "grad_norm": 0.6926059722900391, + "learning_rate": 8e-05, + "loss": 1.5405, + "step": 1186 + }, + { + "epoch": 0.5768436398979467, + "grad_norm": 0.7004907131195068, + "learning_rate": 8e-05, + "loss": 1.7625, + "step": 1187 + }, + { + "epoch": 0.5773296075810959, + "grad_norm": 0.7104352116584778, + "learning_rate": 8e-05, + "loss": 1.639, + "step": 1188 + }, + { + "epoch": 0.5778155752642449, + "grad_norm": 0.7317578196525574, + "learning_rate": 8e-05, + "loss": 1.687, + "step": 1189 + }, + { + "epoch": 0.578301542947394, + "grad_norm": 0.6903920769691467, + "learning_rate": 8e-05, + "loss": 1.588, + "step": 1190 + }, + { + "epoch": 0.5787875106305431, + "grad_norm": 0.6683222651481628, + "learning_rate": 8e-05, + "loss": 1.72, + "step": 1191 + }, + { + "epoch": 0.5792734783136921, + "grad_norm": 0.6732016205787659, + "learning_rate": 8e-05, + "loss": 1.7349, + "step": 1192 + }, + { + "epoch": 0.5797594459968413, + "grad_norm": 0.6823511719703674, + "learning_rate": 8e-05, + "loss": 1.7643, + "step": 1193 + }, + { + "epoch": 0.5802454136799903, + "grad_norm": 0.6696779131889343, + "learning_rate": 8e-05, + "loss": 1.7342, + "step": 1194 + }, + { + "epoch": 0.5807313813631394, + "grad_norm": 0.716525673866272, + "learning_rate": 8e-05, + "loss": 1.6209, + "step": 1195 + }, + { + "epoch": 0.5812173490462884, + "grad_norm": 0.6862484812736511, + "learning_rate": 8e-05, + "loss": 1.6563, + "step": 1196 + }, + { + "epoch": 0.5817033167294375, + "grad_norm": 0.683681070804596, + "learning_rate": 8e-05, + "loss": 1.6454, + "step": 1197 + }, + { + "epoch": 0.5821892844125865, + "grad_norm": 0.6821367740631104, + "learning_rate": 8e-05, + "loss": 1.6325, + "step": 1198 + }, + { + "epoch": 0.5826752520957357, + "grad_norm": 0.6539075970649719, + "learning_rate": 8e-05, + "loss": 1.6822, + "step": 1199 + }, + { + "epoch": 0.5831612197788847, + "grad_norm": 0.737847626209259, + "learning_rate": 8e-05, + "loss": 1.7325, + "step": 1200 + }, + { + "epoch": 0.5836471874620338, + "grad_norm": 0.6822332739830017, + "learning_rate": 8e-05, + "loss": 1.7866, + "step": 1201 + }, + { + "epoch": 0.5841331551451828, + "grad_norm": 0.6578431725502014, + "learning_rate": 8e-05, + "loss": 1.6757, + "step": 1202 + }, + { + "epoch": 0.584619122828332, + "grad_norm": 0.6829719543457031, + "learning_rate": 8e-05, + "loss": 1.7026, + "step": 1203 + }, + { + "epoch": 0.585105090511481, + "grad_norm": 0.690361499786377, + "learning_rate": 8e-05, + "loss": 1.7872, + "step": 1204 + }, + { + "epoch": 0.5855910581946301, + "grad_norm": 0.6874240636825562, + "learning_rate": 8e-05, + "loss": 1.6867, + "step": 1205 + }, + { + "epoch": 0.5860770258777791, + "grad_norm": 0.6720805764198303, + "learning_rate": 8e-05, + "loss": 1.6675, + "step": 1206 + }, + { + "epoch": 0.5865629935609282, + "grad_norm": 0.7064617872238159, + "learning_rate": 8e-05, + "loss": 1.7227, + "step": 1207 + }, + { + "epoch": 0.5870489612440772, + "grad_norm": 0.6419195532798767, + "learning_rate": 8e-05, + "loss": 1.5611, + "step": 1208 + }, + { + "epoch": 0.5875349289272264, + "grad_norm": 0.6887343525886536, + "learning_rate": 8e-05, + "loss": 1.6504, + "step": 1209 + }, + { + "epoch": 0.5880208966103754, + "grad_norm": 0.6889417171478271, + "learning_rate": 8e-05, + "loss": 1.6762, + "step": 1210 + }, + { + "epoch": 0.5885068642935245, + "grad_norm": 0.6796707510948181, + "learning_rate": 8e-05, + "loss": 1.7662, + "step": 1211 + }, + { + "epoch": 0.5889928319766735, + "grad_norm": 0.6833084225654602, + "learning_rate": 8e-05, + "loss": 1.781, + "step": 1212 + }, + { + "epoch": 0.5894787996598226, + "grad_norm": 0.6800668239593506, + "learning_rate": 8e-05, + "loss": 1.6795, + "step": 1213 + }, + { + "epoch": 0.5899647673429717, + "grad_norm": 0.6984237432479858, + "learning_rate": 8e-05, + "loss": 1.7124, + "step": 1214 + }, + { + "epoch": 0.5904507350261208, + "grad_norm": 0.7134154438972473, + "learning_rate": 8e-05, + "loss": 1.7614, + "step": 1215 + }, + { + "epoch": 0.5909367027092698, + "grad_norm": 0.6832752823829651, + "learning_rate": 8e-05, + "loss": 1.6502, + "step": 1216 + }, + { + "epoch": 0.5914226703924189, + "grad_norm": 0.6450145244598389, + "learning_rate": 8e-05, + "loss": 1.6695, + "step": 1217 + }, + { + "epoch": 0.5919086380755679, + "grad_norm": 0.7088375091552734, + "learning_rate": 8e-05, + "loss": 1.713, + "step": 1218 + }, + { + "epoch": 0.592394605758717, + "grad_norm": 0.7023234963417053, + "learning_rate": 8e-05, + "loss": 1.7124, + "step": 1219 + }, + { + "epoch": 0.5928805734418661, + "grad_norm": 0.7200241684913635, + "learning_rate": 8e-05, + "loss": 1.7761, + "step": 1220 + }, + { + "epoch": 0.5933665411250152, + "grad_norm": 0.6853911876678467, + "learning_rate": 8e-05, + "loss": 1.7446, + "step": 1221 + }, + { + "epoch": 0.5938525088081642, + "grad_norm": 0.6965936422348022, + "learning_rate": 8e-05, + "loss": 1.6055, + "step": 1222 + }, + { + "epoch": 0.5943384764913133, + "grad_norm": 0.7172530889511108, + "learning_rate": 8e-05, + "loss": 1.7919, + "step": 1223 + }, + { + "epoch": 0.5948244441744625, + "grad_norm": 0.6731247901916504, + "learning_rate": 8e-05, + "loss": 1.6662, + "step": 1224 + }, + { + "epoch": 0.5953104118576115, + "grad_norm": 0.716677725315094, + "learning_rate": 8e-05, + "loss": 1.6755, + "step": 1225 + }, + { + "epoch": 0.5957963795407606, + "grad_norm": 0.6751598715782166, + "learning_rate": 8e-05, + "loss": 1.6918, + "step": 1226 + }, + { + "epoch": 0.5962823472239096, + "grad_norm": 0.7308856844902039, + "learning_rate": 8e-05, + "loss": 1.6726, + "step": 1227 + }, + { + "epoch": 0.5967683149070587, + "grad_norm": 0.668401837348938, + "learning_rate": 8e-05, + "loss": 1.7417, + "step": 1228 + }, + { + "epoch": 0.5972542825902077, + "grad_norm": 0.6913663148880005, + "learning_rate": 8e-05, + "loss": 1.7568, + "step": 1229 + }, + { + "epoch": 0.5977402502733569, + "grad_norm": 0.6790227890014648, + "learning_rate": 8e-05, + "loss": 1.774, + "step": 1230 + }, + { + "epoch": 0.5982262179565059, + "grad_norm": 0.7138398885726929, + "learning_rate": 8e-05, + "loss": 1.7636, + "step": 1231 + }, + { + "epoch": 0.598712185639655, + "grad_norm": 0.6717175841331482, + "learning_rate": 8e-05, + "loss": 1.6984, + "step": 1232 + }, + { + "epoch": 0.599198153322804, + "grad_norm": 0.6992210745811462, + "learning_rate": 8e-05, + "loss": 1.6166, + "step": 1233 + }, + { + "epoch": 0.5996841210059531, + "grad_norm": 0.7094160914421082, + "learning_rate": 8e-05, + "loss": 1.7681, + "step": 1234 + }, + { + "epoch": 0.6001700886891022, + "grad_norm": 0.6791561245918274, + "learning_rate": 8e-05, + "loss": 1.7148, + "step": 1235 + }, + { + "epoch": 0.6006560563722513, + "grad_norm": 0.7138521671295166, + "learning_rate": 8e-05, + "loss": 1.7625, + "step": 1236 + }, + { + "epoch": 0.6011420240554003, + "grad_norm": 0.7009010314941406, + "learning_rate": 8e-05, + "loss": 1.7067, + "step": 1237 + }, + { + "epoch": 0.6016279917385494, + "grad_norm": 0.7364915609359741, + "learning_rate": 8e-05, + "loss": 1.6623, + "step": 1238 + }, + { + "epoch": 0.6021139594216984, + "grad_norm": 0.6793099641799927, + "learning_rate": 8e-05, + "loss": 1.658, + "step": 1239 + }, + { + "epoch": 0.6025999271048476, + "grad_norm": 0.7189677953720093, + "learning_rate": 8e-05, + "loss": 1.7025, + "step": 1240 + }, + { + "epoch": 0.6030858947879966, + "grad_norm": 0.7181973457336426, + "learning_rate": 8e-05, + "loss": 1.8068, + "step": 1241 + }, + { + "epoch": 0.6035718624711457, + "grad_norm": 0.687425434589386, + "learning_rate": 8e-05, + "loss": 1.6792, + "step": 1242 + }, + { + "epoch": 0.6040578301542947, + "grad_norm": 0.6552849411964417, + "learning_rate": 8e-05, + "loss": 1.672, + "step": 1243 + }, + { + "epoch": 0.6045437978374438, + "grad_norm": 0.7122268676757812, + "learning_rate": 8e-05, + "loss": 1.7756, + "step": 1244 + }, + { + "epoch": 0.6050297655205928, + "grad_norm": 0.6844674944877625, + "learning_rate": 8e-05, + "loss": 1.7895, + "step": 1245 + }, + { + "epoch": 0.605515733203742, + "grad_norm": 0.6658867597579956, + "learning_rate": 8e-05, + "loss": 1.6759, + "step": 1246 + }, + { + "epoch": 0.606001700886891, + "grad_norm": 0.6862877607345581, + "learning_rate": 8e-05, + "loss": 1.7381, + "step": 1247 + }, + { + "epoch": 0.6064876685700401, + "grad_norm": 0.6513017416000366, + "learning_rate": 8e-05, + "loss": 1.726, + "step": 1248 + }, + { + "epoch": 0.6069736362531891, + "grad_norm": 0.6754278540611267, + "learning_rate": 8e-05, + "loss": 1.6301, + "step": 1249 + }, + { + "epoch": 0.6074596039363382, + "grad_norm": 0.6985076665878296, + "learning_rate": 8e-05, + "loss": 1.7157, + "step": 1250 + }, + { + "epoch": 0.6079455716194873, + "grad_norm": 0.6825240254402161, + "learning_rate": 8e-05, + "loss": 1.6926, + "step": 1251 + }, + { + "epoch": 0.6084315393026364, + "grad_norm": 0.6575943231582642, + "learning_rate": 8e-05, + "loss": 1.63, + "step": 1252 + }, + { + "epoch": 0.6089175069857854, + "grad_norm": 0.6731870770454407, + "learning_rate": 8e-05, + "loss": 1.6489, + "step": 1253 + }, + { + "epoch": 0.6094034746689345, + "grad_norm": 0.6386263966560364, + "learning_rate": 8e-05, + "loss": 1.5998, + "step": 1254 + }, + { + "epoch": 0.6098894423520835, + "grad_norm": 0.6733653545379639, + "learning_rate": 8e-05, + "loss": 1.7495, + "step": 1255 + }, + { + "epoch": 0.6103754100352327, + "grad_norm": 0.681827962398529, + "learning_rate": 8e-05, + "loss": 1.7408, + "step": 1256 + }, + { + "epoch": 0.6108613777183818, + "grad_norm": 0.6763688325881958, + "learning_rate": 8e-05, + "loss": 1.7478, + "step": 1257 + }, + { + "epoch": 0.6113473454015308, + "grad_norm": 0.6924687623977661, + "learning_rate": 8e-05, + "loss": 1.7819, + "step": 1258 + }, + { + "epoch": 0.6118333130846799, + "grad_norm": 0.6565300226211548, + "learning_rate": 8e-05, + "loss": 1.6319, + "step": 1259 + }, + { + "epoch": 0.6123192807678289, + "grad_norm": 0.7047408819198608, + "learning_rate": 8e-05, + "loss": 1.6709, + "step": 1260 + }, + { + "epoch": 0.6128052484509781, + "grad_norm": 0.6591905951499939, + "learning_rate": 8e-05, + "loss": 1.7454, + "step": 1261 + }, + { + "epoch": 0.6132912161341271, + "grad_norm": 0.6813497543334961, + "learning_rate": 8e-05, + "loss": 1.6712, + "step": 1262 + }, + { + "epoch": 0.6137771838172762, + "grad_norm": 0.691750705242157, + "learning_rate": 8e-05, + "loss": 1.6833, + "step": 1263 + }, + { + "epoch": 0.6142631515004252, + "grad_norm": 0.6817581057548523, + "learning_rate": 8e-05, + "loss": 1.7717, + "step": 1264 + }, + { + "epoch": 0.6147491191835743, + "grad_norm": 0.6964521408081055, + "learning_rate": 8e-05, + "loss": 1.7466, + "step": 1265 + }, + { + "epoch": 0.6152350868667233, + "grad_norm": 0.6699418425559998, + "learning_rate": 8e-05, + "loss": 1.7408, + "step": 1266 + }, + { + "epoch": 0.6157210545498725, + "grad_norm": 0.687675416469574, + "learning_rate": 8e-05, + "loss": 1.6859, + "step": 1267 + }, + { + "epoch": 0.6162070222330215, + "grad_norm": 0.6683962345123291, + "learning_rate": 8e-05, + "loss": 1.6489, + "step": 1268 + }, + { + "epoch": 0.6166929899161706, + "grad_norm": 0.6966105699539185, + "learning_rate": 8e-05, + "loss": 1.6827, + "step": 1269 + }, + { + "epoch": 0.6171789575993196, + "grad_norm": 0.7060234546661377, + "learning_rate": 8e-05, + "loss": 1.7079, + "step": 1270 + }, + { + "epoch": 0.6176649252824687, + "grad_norm": 0.7038748264312744, + "learning_rate": 8e-05, + "loss": 1.78, + "step": 1271 + }, + { + "epoch": 0.6181508929656178, + "grad_norm": 0.6980753540992737, + "learning_rate": 8e-05, + "loss": 1.8234, + "step": 1272 + }, + { + "epoch": 0.6186368606487669, + "grad_norm": 0.676101565361023, + "learning_rate": 8e-05, + "loss": 1.6625, + "step": 1273 + }, + { + "epoch": 0.6191228283319159, + "grad_norm": 0.6947356462478638, + "learning_rate": 8e-05, + "loss": 1.6889, + "step": 1274 + }, + { + "epoch": 0.619608796015065, + "grad_norm": 0.6201874017715454, + "learning_rate": 8e-05, + "loss": 1.5396, + "step": 1275 + }, + { + "epoch": 0.620094763698214, + "grad_norm": 0.7296407222747803, + "learning_rate": 8e-05, + "loss": 1.7167, + "step": 1276 + }, + { + "epoch": 0.6205807313813632, + "grad_norm": 0.6506848335266113, + "learning_rate": 8e-05, + "loss": 1.7229, + "step": 1277 + }, + { + "epoch": 0.6210666990645122, + "grad_norm": 0.704167902469635, + "learning_rate": 8e-05, + "loss": 1.7336, + "step": 1278 + }, + { + "epoch": 0.6215526667476613, + "grad_norm": 0.6549620628356934, + "learning_rate": 8e-05, + "loss": 1.6864, + "step": 1279 + }, + { + "epoch": 0.6220386344308103, + "grad_norm": 0.7394512891769409, + "learning_rate": 8e-05, + "loss": 1.8005, + "step": 1280 + }, + { + "epoch": 0.6225246021139594, + "grad_norm": 0.707434356212616, + "learning_rate": 8e-05, + "loss": 1.554, + "step": 1281 + }, + { + "epoch": 0.6230105697971084, + "grad_norm": 0.7132856845855713, + "learning_rate": 8e-05, + "loss": 1.6516, + "step": 1282 + }, + { + "epoch": 0.6234965374802576, + "grad_norm": 0.6508325338363647, + "learning_rate": 8e-05, + "loss": 1.5901, + "step": 1283 + }, + { + "epoch": 0.6239825051634066, + "grad_norm": 0.7017080187797546, + "learning_rate": 8e-05, + "loss": 1.7625, + "step": 1284 + }, + { + "epoch": 0.6244684728465557, + "grad_norm": 0.6544747352600098, + "learning_rate": 8e-05, + "loss": 1.7253, + "step": 1285 + }, + { + "epoch": 0.6249544405297047, + "grad_norm": 0.6635825037956238, + "learning_rate": 8e-05, + "loss": 1.7134, + "step": 1286 + }, + { + "epoch": 0.6254404082128538, + "grad_norm": 0.6872092485427856, + "learning_rate": 8e-05, + "loss": 1.7473, + "step": 1287 + }, + { + "epoch": 0.6259263758960029, + "grad_norm": 0.6724379658699036, + "learning_rate": 8e-05, + "loss": 1.6428, + "step": 1288 + }, + { + "epoch": 0.626412343579152, + "grad_norm": 0.6651939153671265, + "learning_rate": 8e-05, + "loss": 1.7405, + "step": 1289 + }, + { + "epoch": 0.6268983112623011, + "grad_norm": 0.6781435608863831, + "learning_rate": 8e-05, + "loss": 1.6416, + "step": 1290 + }, + { + "epoch": 0.6273842789454501, + "grad_norm": 0.699384868144989, + "learning_rate": 8e-05, + "loss": 1.6881, + "step": 1291 + }, + { + "epoch": 0.6278702466285992, + "grad_norm": 0.6593002676963806, + "learning_rate": 8e-05, + "loss": 1.7266, + "step": 1292 + }, + { + "epoch": 0.6283562143117483, + "grad_norm": 0.7015580534934998, + "learning_rate": 8e-05, + "loss": 1.6794, + "step": 1293 + }, + { + "epoch": 0.6288421819948974, + "grad_norm": 0.6750890612602234, + "learning_rate": 8e-05, + "loss": 1.7274, + "step": 1294 + }, + { + "epoch": 0.6293281496780464, + "grad_norm": 0.7169713973999023, + "learning_rate": 8e-05, + "loss": 1.7713, + "step": 1295 + }, + { + "epoch": 0.6298141173611955, + "grad_norm": 0.7050965428352356, + "learning_rate": 8e-05, + "loss": 1.7294, + "step": 1296 + }, + { + "epoch": 0.6303000850443445, + "grad_norm": 0.6698927879333496, + "learning_rate": 8e-05, + "loss": 1.6464, + "step": 1297 + }, + { + "epoch": 0.6307860527274937, + "grad_norm": 0.6851381659507751, + "learning_rate": 8e-05, + "loss": 1.7113, + "step": 1298 + }, + { + "epoch": 0.6312720204106427, + "grad_norm": 0.6928958892822266, + "learning_rate": 8e-05, + "loss": 1.7469, + "step": 1299 + }, + { + "epoch": 0.6317579880937918, + "grad_norm": 0.6474245190620422, + "learning_rate": 8e-05, + "loss": 1.61, + "step": 1300 + }, + { + "epoch": 0.6322439557769408, + "grad_norm": 0.6689447164535522, + "learning_rate": 8e-05, + "loss": 1.7407, + "step": 1301 + }, + { + "epoch": 0.6327299234600899, + "grad_norm": 0.7028213739395142, + "learning_rate": 8e-05, + "loss": 1.8221, + "step": 1302 + }, + { + "epoch": 0.633215891143239, + "grad_norm": 0.6999359726905823, + "learning_rate": 8e-05, + "loss": 1.7989, + "step": 1303 + }, + { + "epoch": 0.6337018588263881, + "grad_norm": 0.6687000393867493, + "learning_rate": 8e-05, + "loss": 1.7352, + "step": 1304 + }, + { + "epoch": 0.6341878265095371, + "grad_norm": 0.7043063044548035, + "learning_rate": 8e-05, + "loss": 1.7114, + "step": 1305 + }, + { + "epoch": 0.6346737941926862, + "grad_norm": 0.6646273732185364, + "learning_rate": 8e-05, + "loss": 1.6249, + "step": 1306 + }, + { + "epoch": 0.6351597618758352, + "grad_norm": 0.6701491475105286, + "learning_rate": 8e-05, + "loss": 1.6503, + "step": 1307 + }, + { + "epoch": 0.6356457295589844, + "grad_norm": 0.6761196851730347, + "learning_rate": 8e-05, + "loss": 1.6093, + "step": 1308 + }, + { + "epoch": 0.6361316972421334, + "grad_norm": 0.668424665927887, + "learning_rate": 8e-05, + "loss": 1.5847, + "step": 1309 + }, + { + "epoch": 0.6366176649252825, + "grad_norm": 0.6873188018798828, + "learning_rate": 8e-05, + "loss": 1.6984, + "step": 1310 + }, + { + "epoch": 0.6371036326084315, + "grad_norm": 0.6726406216621399, + "learning_rate": 8e-05, + "loss": 1.656, + "step": 1311 + }, + { + "epoch": 0.6375896002915806, + "grad_norm": 0.6651948094367981, + "learning_rate": 8e-05, + "loss": 1.698, + "step": 1312 + }, + { + "epoch": 0.6380755679747296, + "grad_norm": 0.67381751537323, + "learning_rate": 8e-05, + "loss": 1.7738, + "step": 1313 + }, + { + "epoch": 0.6385615356578788, + "grad_norm": 0.6783180832862854, + "learning_rate": 8e-05, + "loss": 1.6661, + "step": 1314 + }, + { + "epoch": 0.6390475033410278, + "grad_norm": 0.6703616976737976, + "learning_rate": 8e-05, + "loss": 1.6764, + "step": 1315 + }, + { + "epoch": 0.6395334710241769, + "grad_norm": 0.6743754744529724, + "learning_rate": 8e-05, + "loss": 1.6264, + "step": 1316 + }, + { + "epoch": 0.6400194387073259, + "grad_norm": 0.6861841678619385, + "learning_rate": 8e-05, + "loss": 1.6765, + "step": 1317 + }, + { + "epoch": 0.640505406390475, + "grad_norm": 0.6622785329818726, + "learning_rate": 8e-05, + "loss": 1.5932, + "step": 1318 + }, + { + "epoch": 0.640991374073624, + "grad_norm": 0.6901302337646484, + "learning_rate": 8e-05, + "loss": 1.729, + "step": 1319 + }, + { + "epoch": 0.6414773417567732, + "grad_norm": 0.6749575138092041, + "learning_rate": 8e-05, + "loss": 1.7342, + "step": 1320 + }, + { + "epoch": 0.6419633094399222, + "grad_norm": 0.6726229786872864, + "learning_rate": 8e-05, + "loss": 1.4928, + "step": 1321 + }, + { + "epoch": 0.6424492771230713, + "grad_norm": 0.7091121673583984, + "learning_rate": 8e-05, + "loss": 1.6146, + "step": 1322 + }, + { + "epoch": 0.6429352448062204, + "grad_norm": 0.6836438775062561, + "learning_rate": 8e-05, + "loss": 1.666, + "step": 1323 + }, + { + "epoch": 0.6434212124893695, + "grad_norm": 0.6668574810028076, + "learning_rate": 8e-05, + "loss": 1.7061, + "step": 1324 + }, + { + "epoch": 0.6439071801725186, + "grad_norm": 0.7155892252922058, + "learning_rate": 8e-05, + "loss": 1.7516, + "step": 1325 + }, + { + "epoch": 0.6443931478556676, + "grad_norm": 0.657418966293335, + "learning_rate": 8e-05, + "loss": 1.684, + "step": 1326 + }, + { + "epoch": 0.6448791155388167, + "grad_norm": 0.6631054282188416, + "learning_rate": 8e-05, + "loss": 1.69, + "step": 1327 + }, + { + "epoch": 0.6453650832219657, + "grad_norm": 0.6959031224250793, + "learning_rate": 8e-05, + "loss": 1.765, + "step": 1328 + }, + { + "epoch": 0.6458510509051149, + "grad_norm": 0.6901814937591553, + "learning_rate": 8e-05, + "loss": 1.8029, + "step": 1329 + }, + { + "epoch": 0.6463370185882639, + "grad_norm": 0.6989200115203857, + "learning_rate": 8e-05, + "loss": 1.7285, + "step": 1330 + }, + { + "epoch": 0.646822986271413, + "grad_norm": 0.6738196611404419, + "learning_rate": 8e-05, + "loss": 1.7413, + "step": 1331 + }, + { + "epoch": 0.647308953954562, + "grad_norm": 0.6639776229858398, + "learning_rate": 8e-05, + "loss": 1.7066, + "step": 1332 + }, + { + "epoch": 0.6477949216377111, + "grad_norm": 0.7205191850662231, + "learning_rate": 8e-05, + "loss": 1.708, + "step": 1333 + }, + { + "epoch": 0.6482808893208601, + "grad_norm": 0.6805105209350586, + "learning_rate": 8e-05, + "loss": 1.6536, + "step": 1334 + }, + { + "epoch": 0.6487668570040093, + "grad_norm": 0.6904272437095642, + "learning_rate": 8e-05, + "loss": 1.6673, + "step": 1335 + }, + { + "epoch": 0.6492528246871583, + "grad_norm": 0.6794489026069641, + "learning_rate": 8e-05, + "loss": 1.6791, + "step": 1336 + }, + { + "epoch": 0.6497387923703074, + "grad_norm": 0.694638192653656, + "learning_rate": 8e-05, + "loss": 1.7385, + "step": 1337 + }, + { + "epoch": 0.6502247600534564, + "grad_norm": 0.6804966926574707, + "learning_rate": 8e-05, + "loss": 1.8001, + "step": 1338 + }, + { + "epoch": 0.6507107277366055, + "grad_norm": 0.6919635534286499, + "learning_rate": 8e-05, + "loss": 1.6131, + "step": 1339 + }, + { + "epoch": 0.6511966954197546, + "grad_norm": 0.6869526505470276, + "learning_rate": 8e-05, + "loss": 1.5458, + "step": 1340 + }, + { + "epoch": 0.6516826631029037, + "grad_norm": 0.6857462525367737, + "learning_rate": 8e-05, + "loss": 1.712, + "step": 1341 + }, + { + "epoch": 0.6521686307860527, + "grad_norm": 0.6743590831756592, + "learning_rate": 8e-05, + "loss": 1.7009, + "step": 1342 + }, + { + "epoch": 0.6526545984692018, + "grad_norm": 0.684923529624939, + "learning_rate": 8e-05, + "loss": 1.6987, + "step": 1343 + }, + { + "epoch": 0.6531405661523508, + "grad_norm": 0.6665489673614502, + "learning_rate": 8e-05, + "loss": 1.7824, + "step": 1344 + }, + { + "epoch": 0.6536265338355, + "grad_norm": 0.7092958688735962, + "learning_rate": 8e-05, + "loss": 1.7133, + "step": 1345 + }, + { + "epoch": 0.654112501518649, + "grad_norm": 0.6865982413291931, + "learning_rate": 8e-05, + "loss": 1.5584, + "step": 1346 + }, + { + "epoch": 0.6545984692017981, + "grad_norm": 0.6830027103424072, + "learning_rate": 8e-05, + "loss": 1.7155, + "step": 1347 + }, + { + "epoch": 0.6550844368849471, + "grad_norm": 0.7074036002159119, + "learning_rate": 8e-05, + "loss": 1.6834, + "step": 1348 + }, + { + "epoch": 0.6555704045680962, + "grad_norm": 0.692531168460846, + "learning_rate": 8e-05, + "loss": 1.7312, + "step": 1349 + }, + { + "epoch": 0.6560563722512452, + "grad_norm": 0.7212434411048889, + "learning_rate": 8e-05, + "loss": 1.7338, + "step": 1350 + }, + { + "epoch": 0.6565423399343944, + "grad_norm": 0.6688287854194641, + "learning_rate": 8e-05, + "loss": 1.7299, + "step": 1351 + }, + { + "epoch": 0.6570283076175434, + "grad_norm": 0.6903539299964905, + "learning_rate": 8e-05, + "loss": 1.704, + "step": 1352 + }, + { + "epoch": 0.6575142753006925, + "grad_norm": 0.6791881322860718, + "learning_rate": 8e-05, + "loss": 1.7412, + "step": 1353 + }, + { + "epoch": 0.6580002429838415, + "grad_norm": 0.6559412479400635, + "learning_rate": 8e-05, + "loss": 1.6554, + "step": 1354 + }, + { + "epoch": 0.6584862106669906, + "grad_norm": 0.6751131415367126, + "learning_rate": 8e-05, + "loss": 1.658, + "step": 1355 + }, + { + "epoch": 0.6589721783501398, + "grad_norm": 0.6822508573532104, + "learning_rate": 8e-05, + "loss": 1.6652, + "step": 1356 + }, + { + "epoch": 0.6594581460332888, + "grad_norm": 0.6608313918113708, + "learning_rate": 8e-05, + "loss": 1.6322, + "step": 1357 + }, + { + "epoch": 0.6599441137164379, + "grad_norm": 0.6548648476600647, + "learning_rate": 8e-05, + "loss": 1.5695, + "step": 1358 + }, + { + "epoch": 0.6604300813995869, + "grad_norm": 0.7083562612533569, + "learning_rate": 8e-05, + "loss": 1.7514, + "step": 1359 + }, + { + "epoch": 0.660916049082736, + "grad_norm": 0.6535549163818359, + "learning_rate": 8e-05, + "loss": 1.6312, + "step": 1360 + }, + { + "epoch": 0.6614020167658851, + "grad_norm": 0.6861634254455566, + "learning_rate": 8e-05, + "loss": 1.7172, + "step": 1361 + }, + { + "epoch": 0.6618879844490342, + "grad_norm": 0.7570831179618835, + "learning_rate": 8e-05, + "loss": 1.5712, + "step": 1362 + }, + { + "epoch": 0.6623739521321832, + "grad_norm": 0.6796947121620178, + "learning_rate": 8e-05, + "loss": 1.6178, + "step": 1363 + }, + { + "epoch": 0.6628599198153323, + "grad_norm": 0.6609553098678589, + "learning_rate": 8e-05, + "loss": 1.6684, + "step": 1364 + }, + { + "epoch": 0.6633458874984813, + "grad_norm": 0.6480719447135925, + "learning_rate": 8e-05, + "loss": 1.6271, + "step": 1365 + }, + { + "epoch": 0.6638318551816305, + "grad_norm": 0.6644112467765808, + "learning_rate": 8e-05, + "loss": 1.7436, + "step": 1366 + }, + { + "epoch": 0.6643178228647795, + "grad_norm": 0.6798554062843323, + "learning_rate": 8e-05, + "loss": 1.7555, + "step": 1367 + }, + { + "epoch": 0.6648037905479286, + "grad_norm": 0.654283344745636, + "learning_rate": 8e-05, + "loss": 1.5828, + "step": 1368 + }, + { + "epoch": 0.6652897582310776, + "grad_norm": 0.6328772306442261, + "learning_rate": 8e-05, + "loss": 1.64, + "step": 1369 + }, + { + "epoch": 0.6657757259142267, + "grad_norm": 0.6956726908683777, + "learning_rate": 8e-05, + "loss": 1.6959, + "step": 1370 + }, + { + "epoch": 0.6662616935973757, + "grad_norm": 0.6871621012687683, + "learning_rate": 8e-05, + "loss": 1.7371, + "step": 1371 + }, + { + "epoch": 0.6667476612805249, + "grad_norm": 0.6861317157745361, + "learning_rate": 8e-05, + "loss": 1.7315, + "step": 1372 + }, + { + "epoch": 0.6672336289636739, + "grad_norm": 0.6818125247955322, + "learning_rate": 8e-05, + "loss": 1.7122, + "step": 1373 + }, + { + "epoch": 0.667719596646823, + "grad_norm": 0.6792329549789429, + "learning_rate": 8e-05, + "loss": 1.6096, + "step": 1374 + }, + { + "epoch": 0.668205564329972, + "grad_norm": 0.7161831259727478, + "learning_rate": 8e-05, + "loss": 1.7651, + "step": 1375 + }, + { + "epoch": 0.6686915320131211, + "grad_norm": 0.659145712852478, + "learning_rate": 8e-05, + "loss": 1.6682, + "step": 1376 + }, + { + "epoch": 0.6691774996962702, + "grad_norm": 0.6703169941902161, + "learning_rate": 8e-05, + "loss": 1.5936, + "step": 1377 + }, + { + "epoch": 0.6696634673794193, + "grad_norm": 0.6605799198150635, + "learning_rate": 8e-05, + "loss": 1.6434, + "step": 1378 + }, + { + "epoch": 0.6701494350625683, + "grad_norm": 0.6746866703033447, + "learning_rate": 8e-05, + "loss": 1.6715, + "step": 1379 + }, + { + "epoch": 0.6706354027457174, + "grad_norm": 0.6647935509681702, + "learning_rate": 8e-05, + "loss": 1.7254, + "step": 1380 + }, + { + "epoch": 0.6711213704288664, + "grad_norm": 0.663534939289093, + "learning_rate": 8e-05, + "loss": 1.6254, + "step": 1381 + }, + { + "epoch": 0.6716073381120156, + "grad_norm": 0.6398818492889404, + "learning_rate": 8e-05, + "loss": 1.6332, + "step": 1382 + }, + { + "epoch": 0.6720933057951646, + "grad_norm": 0.655539333820343, + "learning_rate": 8e-05, + "loss": 1.7303, + "step": 1383 + }, + { + "epoch": 0.6725792734783137, + "grad_norm": 0.6810123920440674, + "learning_rate": 8e-05, + "loss": 1.6059, + "step": 1384 + }, + { + "epoch": 0.6730652411614627, + "grad_norm": 0.6818733215332031, + "learning_rate": 8e-05, + "loss": 1.6315, + "step": 1385 + }, + { + "epoch": 0.6735512088446118, + "grad_norm": 0.6757489442825317, + "learning_rate": 8e-05, + "loss": 1.6512, + "step": 1386 + }, + { + "epoch": 0.6740371765277609, + "grad_norm": 0.7078661918640137, + "learning_rate": 8e-05, + "loss": 1.6592, + "step": 1387 + }, + { + "epoch": 0.67452314421091, + "grad_norm": 0.6805749535560608, + "learning_rate": 8e-05, + "loss": 1.7233, + "step": 1388 + }, + { + "epoch": 0.6750091118940591, + "grad_norm": 0.6596097946166992, + "learning_rate": 8e-05, + "loss": 1.6902, + "step": 1389 + }, + { + "epoch": 0.6754950795772081, + "grad_norm": 0.7238724827766418, + "learning_rate": 8e-05, + "loss": 1.8736, + "step": 1390 + }, + { + "epoch": 0.6759810472603572, + "grad_norm": 0.669191837310791, + "learning_rate": 8e-05, + "loss": 1.6578, + "step": 1391 + }, + { + "epoch": 0.6764670149435063, + "grad_norm": 0.6836249828338623, + "learning_rate": 8e-05, + "loss": 1.7131, + "step": 1392 + }, + { + "epoch": 0.6769529826266554, + "grad_norm": 0.6608012318611145, + "learning_rate": 8e-05, + "loss": 1.6703, + "step": 1393 + }, + { + "epoch": 0.6774389503098044, + "grad_norm": 0.6750621795654297, + "learning_rate": 8e-05, + "loss": 1.698, + "step": 1394 + }, + { + "epoch": 0.6779249179929535, + "grad_norm": 0.6800269484519958, + "learning_rate": 8e-05, + "loss": 1.6467, + "step": 1395 + }, + { + "epoch": 0.6784108856761025, + "grad_norm": 0.7043876647949219, + "learning_rate": 8e-05, + "loss": 1.8003, + "step": 1396 + }, + { + "epoch": 0.6788968533592517, + "grad_norm": 0.6708895564079285, + "learning_rate": 8e-05, + "loss": 1.6914, + "step": 1397 + }, + { + "epoch": 0.6793828210424007, + "grad_norm": 0.6897345781326294, + "learning_rate": 8e-05, + "loss": 1.7599, + "step": 1398 + }, + { + "epoch": 0.6798687887255498, + "grad_norm": 0.6640748977661133, + "learning_rate": 8e-05, + "loss": 1.7228, + "step": 1399 + }, + { + "epoch": 0.6803547564086988, + "grad_norm": 0.6811213493347168, + "learning_rate": 8e-05, + "loss": 1.6546, + "step": 1400 + }, + { + "epoch": 0.6808407240918479, + "grad_norm": 0.6596722602844238, + "learning_rate": 8e-05, + "loss": 1.5222, + "step": 1401 + }, + { + "epoch": 0.6813266917749969, + "grad_norm": 0.7102764248847961, + "learning_rate": 8e-05, + "loss": 1.7356, + "step": 1402 + }, + { + "epoch": 0.6818126594581461, + "grad_norm": 0.7005658149719238, + "learning_rate": 8e-05, + "loss": 1.7963, + "step": 1403 + }, + { + "epoch": 0.6822986271412951, + "grad_norm": 0.677031934261322, + "learning_rate": 8e-05, + "loss": 1.6516, + "step": 1404 + }, + { + "epoch": 0.6827845948244442, + "grad_norm": 0.6946262717247009, + "learning_rate": 8e-05, + "loss": 1.6604, + "step": 1405 + }, + { + "epoch": 0.6832705625075932, + "grad_norm": 0.6754231452941895, + "learning_rate": 8e-05, + "loss": 1.6781, + "step": 1406 + }, + { + "epoch": 0.6837565301907423, + "grad_norm": 0.6453408002853394, + "learning_rate": 8e-05, + "loss": 1.6473, + "step": 1407 + }, + { + "epoch": 0.6842424978738914, + "grad_norm": 0.6620815992355347, + "learning_rate": 8e-05, + "loss": 1.5911, + "step": 1408 + }, + { + "epoch": 0.6847284655570405, + "grad_norm": 0.6818002462387085, + "learning_rate": 8e-05, + "loss": 1.6635, + "step": 1409 + }, + { + "epoch": 0.6852144332401895, + "grad_norm": 0.6845067739486694, + "learning_rate": 8e-05, + "loss": 1.6658, + "step": 1410 + }, + { + "epoch": 0.6857004009233386, + "grad_norm": 0.6666234135627747, + "learning_rate": 8e-05, + "loss": 1.7712, + "step": 1411 + }, + { + "epoch": 0.6861863686064876, + "grad_norm": 0.6718552708625793, + "learning_rate": 8e-05, + "loss": 1.716, + "step": 1412 + }, + { + "epoch": 0.6866723362896368, + "grad_norm": 0.6619511842727661, + "learning_rate": 8e-05, + "loss": 1.6542, + "step": 1413 + }, + { + "epoch": 0.6871583039727858, + "grad_norm": 0.6662033200263977, + "learning_rate": 8e-05, + "loss": 1.7428, + "step": 1414 + }, + { + "epoch": 0.6876442716559349, + "grad_norm": 0.6738389134407043, + "learning_rate": 8e-05, + "loss": 1.7516, + "step": 1415 + }, + { + "epoch": 0.6881302393390839, + "grad_norm": 0.6641265749931335, + "learning_rate": 8e-05, + "loss": 1.6309, + "step": 1416 + }, + { + "epoch": 0.688616207022233, + "grad_norm": 3.941762924194336, + "learning_rate": 8e-05, + "loss": 1.723, + "step": 1417 + }, + { + "epoch": 0.689102174705382, + "grad_norm": 0.7161770462989807, + "learning_rate": 8e-05, + "loss": 1.6885, + "step": 1418 + }, + { + "epoch": 0.6895881423885312, + "grad_norm": 0.6878145933151245, + "learning_rate": 8e-05, + "loss": 1.74, + "step": 1419 + }, + { + "epoch": 0.6900741100716802, + "grad_norm": 0.6390286684036255, + "learning_rate": 8e-05, + "loss": 1.58, + "step": 1420 + }, + { + "epoch": 0.6905600777548293, + "grad_norm": 0.6442224383354187, + "learning_rate": 8e-05, + "loss": 1.6435, + "step": 1421 + }, + { + "epoch": 0.6910460454379784, + "grad_norm": 0.7129732966423035, + "learning_rate": 8e-05, + "loss": 1.7327, + "step": 1422 + }, + { + "epoch": 0.6915320131211274, + "grad_norm": 0.6785884499549866, + "learning_rate": 8e-05, + "loss": 1.5916, + "step": 1423 + }, + { + "epoch": 0.6920179808042766, + "grad_norm": 0.7008589506149292, + "learning_rate": 8e-05, + "loss": 1.7584, + "step": 1424 + }, + { + "epoch": 0.6925039484874256, + "grad_norm": 0.705269992351532, + "learning_rate": 8e-05, + "loss": 1.7994, + "step": 1425 + }, + { + "epoch": 0.6929899161705747, + "grad_norm": 0.72601717710495, + "learning_rate": 8e-05, + "loss": 1.7607, + "step": 1426 + }, + { + "epoch": 0.6934758838537237, + "grad_norm": 0.643891453742981, + "learning_rate": 8e-05, + "loss": 1.724, + "step": 1427 + }, + { + "epoch": 0.6939618515368728, + "grad_norm": 0.7093295454978943, + "learning_rate": 8e-05, + "loss": 1.7755, + "step": 1428 + }, + { + "epoch": 0.6944478192200219, + "grad_norm": 0.6784855127334595, + "learning_rate": 8e-05, + "loss": 1.7262, + "step": 1429 + }, + { + "epoch": 0.694933786903171, + "grad_norm": 0.6652461886405945, + "learning_rate": 8e-05, + "loss": 1.7047, + "step": 1430 + }, + { + "epoch": 0.69541975458632, + "grad_norm": 0.652651846408844, + "learning_rate": 8e-05, + "loss": 1.6512, + "step": 1431 + }, + { + "epoch": 0.6959057222694691, + "grad_norm": 0.6891076564788818, + "learning_rate": 8e-05, + "loss": 1.7693, + "step": 1432 + }, + { + "epoch": 0.6963916899526181, + "grad_norm": 0.6644092798233032, + "learning_rate": 8e-05, + "loss": 1.6581, + "step": 1433 + }, + { + "epoch": 0.6968776576357673, + "grad_norm": 0.6464894413948059, + "learning_rate": 8e-05, + "loss": 1.6842, + "step": 1434 + }, + { + "epoch": 0.6973636253189163, + "grad_norm": 0.6486520767211914, + "learning_rate": 8e-05, + "loss": 1.6178, + "step": 1435 + }, + { + "epoch": 0.6978495930020654, + "grad_norm": 0.7069161534309387, + "learning_rate": 8e-05, + "loss": 1.7413, + "step": 1436 + }, + { + "epoch": 0.6983355606852144, + "grad_norm": 0.6747106313705444, + "learning_rate": 8e-05, + "loss": 1.7151, + "step": 1437 + }, + { + "epoch": 0.6988215283683635, + "grad_norm": 0.6933255195617676, + "learning_rate": 8e-05, + "loss": 1.6957, + "step": 1438 + }, + { + "epoch": 0.6993074960515125, + "grad_norm": 0.6827980875968933, + "learning_rate": 8e-05, + "loss": 1.7849, + "step": 1439 + }, + { + "epoch": 0.6997934637346617, + "grad_norm": 0.6822814345359802, + "learning_rate": 8e-05, + "loss": 1.6494, + "step": 1440 + }, + { + "epoch": 0.7002794314178107, + "grad_norm": 0.6557889580726624, + "learning_rate": 8e-05, + "loss": 1.735, + "step": 1441 + }, + { + "epoch": 0.7007653991009598, + "grad_norm": 0.667428731918335, + "learning_rate": 8e-05, + "loss": 1.6354, + "step": 1442 + }, + { + "epoch": 0.7012513667841088, + "grad_norm": 0.6678896546363831, + "learning_rate": 8e-05, + "loss": 1.6234, + "step": 1443 + }, + { + "epoch": 0.701737334467258, + "grad_norm": 0.7056771516799927, + "learning_rate": 8e-05, + "loss": 1.628, + "step": 1444 + }, + { + "epoch": 0.702223302150407, + "grad_norm": 0.736592710018158, + "learning_rate": 8e-05, + "loss": 1.8718, + "step": 1445 + }, + { + "epoch": 0.7027092698335561, + "grad_norm": 0.6782841086387634, + "learning_rate": 8e-05, + "loss": 1.7248, + "step": 1446 + }, + { + "epoch": 0.7031952375167051, + "grad_norm": 0.6662434935569763, + "learning_rate": 8e-05, + "loss": 1.64, + "step": 1447 + }, + { + "epoch": 0.7036812051998542, + "grad_norm": 0.6652860641479492, + "learning_rate": 8e-05, + "loss": 1.7572, + "step": 1448 + }, + { + "epoch": 0.7041671728830032, + "grad_norm": 0.6745628714561462, + "learning_rate": 8e-05, + "loss": 1.6307, + "step": 1449 + }, + { + "epoch": 0.7046531405661524, + "grad_norm": 0.6709152460098267, + "learning_rate": 8e-05, + "loss": 1.6657, + "step": 1450 + }, + { + "epoch": 0.7051391082493014, + "grad_norm": 0.6735470294952393, + "learning_rate": 8e-05, + "loss": 1.6553, + "step": 1451 + }, + { + "epoch": 0.7056250759324505, + "grad_norm": 0.6663253307342529, + "learning_rate": 8e-05, + "loss": 1.7405, + "step": 1452 + }, + { + "epoch": 0.7061110436155995, + "grad_norm": 0.6561141014099121, + "learning_rate": 8e-05, + "loss": 1.6806, + "step": 1453 + }, + { + "epoch": 0.7065970112987486, + "grad_norm": 0.6699032187461853, + "learning_rate": 8e-05, + "loss": 1.7242, + "step": 1454 + }, + { + "epoch": 0.7070829789818978, + "grad_norm": 0.691829264163971, + "learning_rate": 8e-05, + "loss": 1.8473, + "step": 1455 + }, + { + "epoch": 0.7075689466650468, + "grad_norm": 0.6805023550987244, + "learning_rate": 8e-05, + "loss": 1.7381, + "step": 1456 + }, + { + "epoch": 0.7080549143481959, + "grad_norm": 0.6992806792259216, + "learning_rate": 8e-05, + "loss": 1.6336, + "step": 1457 + }, + { + "epoch": 0.7085408820313449, + "grad_norm": 0.7170582413673401, + "learning_rate": 8e-05, + "loss": 1.7041, + "step": 1458 + }, + { + "epoch": 0.709026849714494, + "grad_norm": 0.6936716437339783, + "learning_rate": 8e-05, + "loss": 1.7362, + "step": 1459 + }, + { + "epoch": 0.709512817397643, + "grad_norm": 0.7304790616035461, + "learning_rate": 8e-05, + "loss": 1.723, + "step": 1460 + }, + { + "epoch": 0.7099987850807922, + "grad_norm": 0.6815493106842041, + "learning_rate": 8e-05, + "loss": 1.6387, + "step": 1461 + }, + { + "epoch": 0.7104847527639412, + "grad_norm": 0.7028688788414001, + "learning_rate": 8e-05, + "loss": 1.7329, + "step": 1462 + }, + { + "epoch": 0.7109707204470903, + "grad_norm": 0.6570793986320496, + "learning_rate": 8e-05, + "loss": 1.6309, + "step": 1463 + }, + { + "epoch": 0.7114566881302393, + "grad_norm": 0.6735349893569946, + "learning_rate": 8e-05, + "loss": 1.7854, + "step": 1464 + }, + { + "epoch": 0.7119426558133884, + "grad_norm": 0.6720329523086548, + "learning_rate": 8e-05, + "loss": 1.6121, + "step": 1465 + }, + { + "epoch": 0.7124286234965375, + "grad_norm": 0.6715527176856995, + "learning_rate": 8e-05, + "loss": 1.6782, + "step": 1466 + }, + { + "epoch": 0.7129145911796866, + "grad_norm": 0.686566948890686, + "learning_rate": 8e-05, + "loss": 1.6949, + "step": 1467 + }, + { + "epoch": 0.7134005588628356, + "grad_norm": 0.7121155858039856, + "learning_rate": 8e-05, + "loss": 1.6766, + "step": 1468 + }, + { + "epoch": 0.7138865265459847, + "grad_norm": 0.748831570148468, + "learning_rate": 8e-05, + "loss": 1.7596, + "step": 1469 + }, + { + "epoch": 0.7143724942291337, + "grad_norm": 0.6564344167709351, + "learning_rate": 8e-05, + "loss": 1.6862, + "step": 1470 + }, + { + "epoch": 0.7148584619122829, + "grad_norm": 0.6715706586837769, + "learning_rate": 8e-05, + "loss": 1.7565, + "step": 1471 + }, + { + "epoch": 0.7153444295954319, + "grad_norm": 0.642023503780365, + "learning_rate": 8e-05, + "loss": 1.6628, + "step": 1472 + }, + { + "epoch": 0.715830397278581, + "grad_norm": 0.6556823253631592, + "learning_rate": 8e-05, + "loss": 1.6583, + "step": 1473 + }, + { + "epoch": 0.71631636496173, + "grad_norm": 0.6798869371414185, + "learning_rate": 8e-05, + "loss": 1.6664, + "step": 1474 + }, + { + "epoch": 0.7168023326448791, + "grad_norm": 0.6593642830848694, + "learning_rate": 8e-05, + "loss": 1.6915, + "step": 1475 + }, + { + "epoch": 0.7172883003280281, + "grad_norm": 0.6747823357582092, + "learning_rate": 8e-05, + "loss": 1.6472, + "step": 1476 + }, + { + "epoch": 0.7177742680111773, + "grad_norm": 0.6821336150169373, + "learning_rate": 8e-05, + "loss": 1.7324, + "step": 1477 + }, + { + "epoch": 0.7182602356943263, + "grad_norm": 0.6804844737052917, + "learning_rate": 8e-05, + "loss": 1.7345, + "step": 1478 + }, + { + "epoch": 0.7187462033774754, + "grad_norm": 0.6529686450958252, + "learning_rate": 8e-05, + "loss": 1.6022, + "step": 1479 + }, + { + "epoch": 0.7192321710606244, + "grad_norm": 0.6944935321807861, + "learning_rate": 8e-05, + "loss": 1.7574, + "step": 1480 + }, + { + "epoch": 0.7197181387437736, + "grad_norm": 0.6925895810127258, + "learning_rate": 8e-05, + "loss": 1.6824, + "step": 1481 + }, + { + "epoch": 0.7202041064269226, + "grad_norm": 0.6988723874092102, + "learning_rate": 8e-05, + "loss": 1.8013, + "step": 1482 + }, + { + "epoch": 0.7206900741100717, + "grad_norm": 0.6638310551643372, + "learning_rate": 8e-05, + "loss": 1.7021, + "step": 1483 + }, + { + "epoch": 0.7211760417932207, + "grad_norm": 0.6527820229530334, + "learning_rate": 8e-05, + "loss": 1.7442, + "step": 1484 + }, + { + "epoch": 0.7216620094763698, + "grad_norm": 0.6710399389266968, + "learning_rate": 8e-05, + "loss": 1.8107, + "step": 1485 + }, + { + "epoch": 0.7221479771595188, + "grad_norm": 0.6887544989585876, + "learning_rate": 8e-05, + "loss": 1.6263, + "step": 1486 + }, + { + "epoch": 0.722633944842668, + "grad_norm": 0.649701714515686, + "learning_rate": 8e-05, + "loss": 1.646, + "step": 1487 + }, + { + "epoch": 0.7231199125258171, + "grad_norm": 0.7085797786712646, + "learning_rate": 8e-05, + "loss": 1.7884, + "step": 1488 + }, + { + "epoch": 0.7236058802089661, + "grad_norm": 0.6887712478637695, + "learning_rate": 8e-05, + "loss": 1.7511, + "step": 1489 + }, + { + "epoch": 0.7240918478921152, + "grad_norm": 0.6780201196670532, + "learning_rate": 8e-05, + "loss": 1.6513, + "step": 1490 + }, + { + "epoch": 0.7245778155752642, + "grad_norm": 0.6555797457695007, + "learning_rate": 8e-05, + "loss": 1.686, + "step": 1491 + }, + { + "epoch": 0.7250637832584134, + "grad_norm": 0.693983793258667, + "learning_rate": 8e-05, + "loss": 1.684, + "step": 1492 + }, + { + "epoch": 0.7255497509415624, + "grad_norm": 0.6978248357772827, + "learning_rate": 8e-05, + "loss": 1.7647, + "step": 1493 + }, + { + "epoch": 0.7260357186247115, + "grad_norm": 0.6634182929992676, + "learning_rate": 8e-05, + "loss": 1.6457, + "step": 1494 + }, + { + "epoch": 0.7265216863078605, + "grad_norm": 0.687709629535675, + "learning_rate": 8e-05, + "loss": 1.7756, + "step": 1495 + }, + { + "epoch": 0.7270076539910096, + "grad_norm": 0.706290066242218, + "learning_rate": 8e-05, + "loss": 1.7554, + "step": 1496 + }, + { + "epoch": 0.7274936216741587, + "grad_norm": 0.6736918687820435, + "learning_rate": 8e-05, + "loss": 1.7314, + "step": 1497 + }, + { + "epoch": 0.7279795893573078, + "grad_norm": 0.6696215271949768, + "learning_rate": 8e-05, + "loss": 1.6678, + "step": 1498 + }, + { + "epoch": 0.7284655570404568, + "grad_norm": 0.6545590758323669, + "learning_rate": 8e-05, + "loss": 1.7346, + "step": 1499 + }, + { + "epoch": 0.7289515247236059, + "grad_norm": 0.6590006947517395, + "learning_rate": 8e-05, + "loss": 1.6795, + "step": 1500 + }, + { + "epoch": 0.7294374924067549, + "grad_norm": 0.7147099375724792, + "learning_rate": 8e-05, + "loss": 1.6581, + "step": 1501 + }, + { + "epoch": 0.729923460089904, + "grad_norm": 0.6545288562774658, + "learning_rate": 8e-05, + "loss": 1.6212, + "step": 1502 + }, + { + "epoch": 0.7304094277730531, + "grad_norm": 0.6668671369552612, + "learning_rate": 8e-05, + "loss": 1.6786, + "step": 1503 + }, + { + "epoch": 0.7308953954562022, + "grad_norm": 0.7035940885543823, + "learning_rate": 8e-05, + "loss": 1.7651, + "step": 1504 + }, + { + "epoch": 0.7313813631393512, + "grad_norm": 0.6678001880645752, + "learning_rate": 8e-05, + "loss": 1.6795, + "step": 1505 + }, + { + "epoch": 0.7318673308225003, + "grad_norm": 0.6693470478057861, + "learning_rate": 8e-05, + "loss": 1.6943, + "step": 1506 + }, + { + "epoch": 0.7323532985056493, + "grad_norm": 0.6441562175750732, + "learning_rate": 8e-05, + "loss": 1.6907, + "step": 1507 + }, + { + "epoch": 0.7328392661887985, + "grad_norm": 0.6622614860534668, + "learning_rate": 8e-05, + "loss": 1.6828, + "step": 1508 + }, + { + "epoch": 0.7333252338719475, + "grad_norm": 0.6824374198913574, + "learning_rate": 8e-05, + "loss": 1.7827, + "step": 1509 + }, + { + "epoch": 0.7338112015550966, + "grad_norm": 0.6756101250648499, + "learning_rate": 8e-05, + "loss": 1.6895, + "step": 1510 + }, + { + "epoch": 0.7342971692382456, + "grad_norm": 0.6672031879425049, + "learning_rate": 8e-05, + "loss": 1.6734, + "step": 1511 + }, + { + "epoch": 0.7347831369213947, + "grad_norm": 0.6641438603401184, + "learning_rate": 8e-05, + "loss": 1.5267, + "step": 1512 + }, + { + "epoch": 0.7352691046045438, + "grad_norm": 0.703173816204071, + "learning_rate": 8e-05, + "loss": 1.5887, + "step": 1513 + }, + { + "epoch": 0.7357550722876929, + "grad_norm": 0.6660346984863281, + "learning_rate": 8e-05, + "loss": 1.6545, + "step": 1514 + }, + { + "epoch": 0.7362410399708419, + "grad_norm": 0.7232402563095093, + "learning_rate": 8e-05, + "loss": 1.6503, + "step": 1515 + }, + { + "epoch": 0.736727007653991, + "grad_norm": 0.6885964870452881, + "learning_rate": 8e-05, + "loss": 1.6871, + "step": 1516 + }, + { + "epoch": 0.73721297533714, + "grad_norm": 0.6883174180984497, + "learning_rate": 8e-05, + "loss": 1.5044, + "step": 1517 + }, + { + "epoch": 0.7376989430202892, + "grad_norm": 0.658319354057312, + "learning_rate": 8e-05, + "loss": 1.6292, + "step": 1518 + }, + { + "epoch": 0.7381849107034382, + "grad_norm": 0.7118297815322876, + "learning_rate": 8e-05, + "loss": 1.671, + "step": 1519 + }, + { + "epoch": 0.7386708783865873, + "grad_norm": 0.6947025060653687, + "learning_rate": 8e-05, + "loss": 1.74, + "step": 1520 + }, + { + "epoch": 0.7391568460697364, + "grad_norm": 0.7174086570739746, + "learning_rate": 8e-05, + "loss": 1.7048, + "step": 1521 + }, + { + "epoch": 0.7396428137528854, + "grad_norm": 0.6907267570495605, + "learning_rate": 8e-05, + "loss": 1.7461, + "step": 1522 + }, + { + "epoch": 0.7401287814360346, + "grad_norm": 0.6679226756095886, + "learning_rate": 8e-05, + "loss": 1.7199, + "step": 1523 + }, + { + "epoch": 0.7406147491191836, + "grad_norm": 0.6862102746963501, + "learning_rate": 8e-05, + "loss": 1.6956, + "step": 1524 + }, + { + "epoch": 0.7411007168023327, + "grad_norm": 0.6751832962036133, + "learning_rate": 8e-05, + "loss": 1.7725, + "step": 1525 + }, + { + "epoch": 0.7415866844854817, + "grad_norm": 0.6852265000343323, + "learning_rate": 8e-05, + "loss": 1.7096, + "step": 1526 + }, + { + "epoch": 0.7420726521686308, + "grad_norm": 0.6521369218826294, + "learning_rate": 8e-05, + "loss": 1.6175, + "step": 1527 + }, + { + "epoch": 0.7425586198517798, + "grad_norm": 0.7039942145347595, + "learning_rate": 8e-05, + "loss": 1.7506, + "step": 1528 + }, + { + "epoch": 0.743044587534929, + "grad_norm": 0.6812547445297241, + "learning_rate": 8e-05, + "loss": 1.7117, + "step": 1529 + }, + { + "epoch": 0.743530555218078, + "grad_norm": 0.6890732645988464, + "learning_rate": 8e-05, + "loss": 1.6695, + "step": 1530 + }, + { + "epoch": 0.7440165229012271, + "grad_norm": 0.7119623422622681, + "learning_rate": 8e-05, + "loss": 1.6338, + "step": 1531 + }, + { + "epoch": 0.7445024905843761, + "grad_norm": 0.6888270378112793, + "learning_rate": 8e-05, + "loss": 1.7151, + "step": 1532 + }, + { + "epoch": 0.7449884582675252, + "grad_norm": 0.7158077955245972, + "learning_rate": 8e-05, + "loss": 1.7661, + "step": 1533 + }, + { + "epoch": 0.7454744259506743, + "grad_norm": 0.6932821273803711, + "learning_rate": 8e-05, + "loss": 1.7125, + "step": 1534 + }, + { + "epoch": 0.7459603936338234, + "grad_norm": 0.7240128517150879, + "learning_rate": 8e-05, + "loss": 1.7822, + "step": 1535 + }, + { + "epoch": 0.7464463613169724, + "grad_norm": 0.6781498193740845, + "learning_rate": 8e-05, + "loss": 1.6673, + "step": 1536 + }, + { + "epoch": 0.7469323290001215, + "grad_norm": 0.6755689382553101, + "learning_rate": 8e-05, + "loss": 1.7673, + "step": 1537 + }, + { + "epoch": 0.7474182966832705, + "grad_norm": 0.6547968983650208, + "learning_rate": 8e-05, + "loss": 1.6665, + "step": 1538 + }, + { + "epoch": 0.7479042643664197, + "grad_norm": 0.7272111773490906, + "learning_rate": 8e-05, + "loss": 1.6823, + "step": 1539 + }, + { + "epoch": 0.7483902320495687, + "grad_norm": 0.663520872592926, + "learning_rate": 8e-05, + "loss": 1.6619, + "step": 1540 + }, + { + "epoch": 0.7488761997327178, + "grad_norm": 0.7074699997901917, + "learning_rate": 8e-05, + "loss": 1.6971, + "step": 1541 + }, + { + "epoch": 0.7493621674158668, + "grad_norm": 0.6534743905067444, + "learning_rate": 8e-05, + "loss": 1.697, + "step": 1542 + }, + { + "epoch": 0.7498481350990159, + "grad_norm": 0.6739033460617065, + "learning_rate": 8e-05, + "loss": 1.7456, + "step": 1543 + }, + { + "epoch": 0.750334102782165, + "grad_norm": 0.6841751337051392, + "learning_rate": 8e-05, + "loss": 1.7071, + "step": 1544 + }, + { + "epoch": 0.7508200704653141, + "grad_norm": 0.6846221089363098, + "learning_rate": 8e-05, + "loss": 1.6859, + "step": 1545 + }, + { + "epoch": 0.7513060381484631, + "grad_norm": 0.6791633367538452, + "learning_rate": 8e-05, + "loss": 1.701, + "step": 1546 + }, + { + "epoch": 0.7517920058316122, + "grad_norm": 0.6597045063972473, + "learning_rate": 8e-05, + "loss": 1.6801, + "step": 1547 + }, + { + "epoch": 0.7522779735147612, + "grad_norm": 0.665151059627533, + "learning_rate": 8e-05, + "loss": 1.6949, + "step": 1548 + }, + { + "epoch": 0.7527639411979103, + "grad_norm": 0.6514449119567871, + "learning_rate": 8e-05, + "loss": 1.7199, + "step": 1549 + }, + { + "epoch": 0.7532499088810594, + "grad_norm": 0.6700636148452759, + "learning_rate": 8e-05, + "loss": 1.6602, + "step": 1550 + }, + { + "epoch": 0.7537358765642085, + "grad_norm": 0.6723707318305969, + "learning_rate": 8e-05, + "loss": 1.7314, + "step": 1551 + }, + { + "epoch": 0.7542218442473575, + "grad_norm": 0.6736507415771484, + "learning_rate": 8e-05, + "loss": 1.6586, + "step": 1552 + }, + { + "epoch": 0.7547078119305066, + "grad_norm": 0.6550686955451965, + "learning_rate": 8e-05, + "loss": 1.5756, + "step": 1553 + }, + { + "epoch": 0.7551937796136557, + "grad_norm": 0.6830410361289978, + "learning_rate": 8e-05, + "loss": 1.7073, + "step": 1554 + }, + { + "epoch": 0.7556797472968048, + "grad_norm": 0.6556110382080078, + "learning_rate": 8e-05, + "loss": 1.6739, + "step": 1555 + }, + { + "epoch": 0.7561657149799539, + "grad_norm": 0.6706458330154419, + "learning_rate": 8e-05, + "loss": 1.7234, + "step": 1556 + }, + { + "epoch": 0.7566516826631029, + "grad_norm": 0.6623361706733704, + "learning_rate": 8e-05, + "loss": 1.6544, + "step": 1557 + }, + { + "epoch": 0.757137650346252, + "grad_norm": 0.6876336336135864, + "learning_rate": 8e-05, + "loss": 1.7394, + "step": 1558 + }, + { + "epoch": 0.757623618029401, + "grad_norm": 0.6777063012123108, + "learning_rate": 8e-05, + "loss": 1.699, + "step": 1559 + }, + { + "epoch": 0.7581095857125502, + "grad_norm": 0.6903174519538879, + "learning_rate": 8e-05, + "loss": 1.7063, + "step": 1560 + }, + { + "epoch": 0.7585955533956992, + "grad_norm": 0.6869831681251526, + "learning_rate": 8e-05, + "loss": 1.7737, + "step": 1561 + }, + { + "epoch": 0.7590815210788483, + "grad_norm": 0.6692809462547302, + "learning_rate": 8e-05, + "loss": 1.7101, + "step": 1562 + }, + { + "epoch": 0.7595674887619973, + "grad_norm": 0.677603542804718, + "learning_rate": 8e-05, + "loss": 1.7068, + "step": 1563 + }, + { + "epoch": 0.7600534564451464, + "grad_norm": 0.680304765701294, + "learning_rate": 8e-05, + "loss": 1.7007, + "step": 1564 + }, + { + "epoch": 0.7605394241282954, + "grad_norm": 0.6710352301597595, + "learning_rate": 8e-05, + "loss": 1.6817, + "step": 1565 + }, + { + "epoch": 0.7610253918114446, + "grad_norm": 0.6891443133354187, + "learning_rate": 8e-05, + "loss": 1.628, + "step": 1566 + }, + { + "epoch": 0.7615113594945936, + "grad_norm": 0.6972365379333496, + "learning_rate": 8e-05, + "loss": 1.6964, + "step": 1567 + }, + { + "epoch": 0.7619973271777427, + "grad_norm": 0.6648043394088745, + "learning_rate": 8e-05, + "loss": 1.6418, + "step": 1568 + }, + { + "epoch": 0.7624832948608917, + "grad_norm": 0.6827974915504456, + "learning_rate": 8e-05, + "loss": 1.7091, + "step": 1569 + }, + { + "epoch": 0.7629692625440408, + "grad_norm": 0.6765845417976379, + "learning_rate": 8e-05, + "loss": 1.7379, + "step": 1570 + }, + { + "epoch": 0.7634552302271899, + "grad_norm": 0.6806741952896118, + "learning_rate": 8e-05, + "loss": 1.7331, + "step": 1571 + }, + { + "epoch": 0.763941197910339, + "grad_norm": 0.6496466994285583, + "learning_rate": 8e-05, + "loss": 1.7129, + "step": 1572 + }, + { + "epoch": 0.764427165593488, + "grad_norm": 0.6557418704032898, + "learning_rate": 8e-05, + "loss": 1.5704, + "step": 1573 + }, + { + "epoch": 0.7649131332766371, + "grad_norm": 0.6779592633247375, + "learning_rate": 8e-05, + "loss": 1.6916, + "step": 1574 + }, + { + "epoch": 0.7653991009597861, + "grad_norm": 0.6686397194862366, + "learning_rate": 8e-05, + "loss": 1.6843, + "step": 1575 + }, + { + "epoch": 0.7658850686429353, + "grad_norm": 0.6979429125785828, + "learning_rate": 8e-05, + "loss": 1.6683, + "step": 1576 + }, + { + "epoch": 0.7663710363260843, + "grad_norm": 0.6567559242248535, + "learning_rate": 8e-05, + "loss": 1.6165, + "step": 1577 + }, + { + "epoch": 0.7668570040092334, + "grad_norm": 0.6684688925743103, + "learning_rate": 8e-05, + "loss": 1.7502, + "step": 1578 + }, + { + "epoch": 0.7673429716923824, + "grad_norm": 0.6478898525238037, + "learning_rate": 8e-05, + "loss": 1.6816, + "step": 1579 + }, + { + "epoch": 0.7678289393755315, + "grad_norm": 0.6591485142707825, + "learning_rate": 8e-05, + "loss": 1.7777, + "step": 1580 + }, + { + "epoch": 0.7683149070586806, + "grad_norm": 0.6320804357528687, + "learning_rate": 8e-05, + "loss": 1.6093, + "step": 1581 + }, + { + "epoch": 0.7688008747418297, + "grad_norm": 0.6655343770980835, + "learning_rate": 8e-05, + "loss": 1.7313, + "step": 1582 + }, + { + "epoch": 0.7692868424249787, + "grad_norm": 0.6436070799827576, + "learning_rate": 8e-05, + "loss": 1.6085, + "step": 1583 + }, + { + "epoch": 0.7697728101081278, + "grad_norm": 0.6613366603851318, + "learning_rate": 8e-05, + "loss": 1.6363, + "step": 1584 + }, + { + "epoch": 0.7702587777912768, + "grad_norm": 0.7339720726013184, + "learning_rate": 8e-05, + "loss": 1.8011, + "step": 1585 + }, + { + "epoch": 0.770744745474426, + "grad_norm": 0.692807137966156, + "learning_rate": 8e-05, + "loss": 1.7141, + "step": 1586 + }, + { + "epoch": 0.7712307131575751, + "grad_norm": 0.7067819237709045, + "learning_rate": 8e-05, + "loss": 1.7612, + "step": 1587 + }, + { + "epoch": 0.7717166808407241, + "grad_norm": 0.6481447219848633, + "learning_rate": 8e-05, + "loss": 1.5679, + "step": 1588 + }, + { + "epoch": 0.7722026485238732, + "grad_norm": 0.6787363886833191, + "learning_rate": 8e-05, + "loss": 1.733, + "step": 1589 + }, + { + "epoch": 0.7726886162070222, + "grad_norm": 0.6830894351005554, + "learning_rate": 8e-05, + "loss": 1.6168, + "step": 1590 + }, + { + "epoch": 0.7731745838901714, + "grad_norm": 0.669689416885376, + "learning_rate": 8e-05, + "loss": 1.5582, + "step": 1591 + }, + { + "epoch": 0.7736605515733204, + "grad_norm": 0.6559072136878967, + "learning_rate": 8e-05, + "loss": 1.6642, + "step": 1592 + }, + { + "epoch": 0.7741465192564695, + "grad_norm": 0.7028058171272278, + "learning_rate": 8e-05, + "loss": 1.689, + "step": 1593 + }, + { + "epoch": 0.7746324869396185, + "grad_norm": 0.699228823184967, + "learning_rate": 8e-05, + "loss": 1.7172, + "step": 1594 + }, + { + "epoch": 0.7751184546227676, + "grad_norm": 0.6780297756195068, + "learning_rate": 8e-05, + "loss": 1.6654, + "step": 1595 + }, + { + "epoch": 0.7756044223059166, + "grad_norm": 0.6976983547210693, + "learning_rate": 8e-05, + "loss": 1.8002, + "step": 1596 + }, + { + "epoch": 0.7760903899890658, + "grad_norm": 0.6806316375732422, + "learning_rate": 8e-05, + "loss": 1.6447, + "step": 1597 + }, + { + "epoch": 0.7765763576722148, + "grad_norm": 0.7629841566085815, + "learning_rate": 8e-05, + "loss": 1.7308, + "step": 1598 + }, + { + "epoch": 0.7770623253553639, + "grad_norm": 0.6737505793571472, + "learning_rate": 8e-05, + "loss": 1.6911, + "step": 1599 + }, + { + "epoch": 0.7775482930385129, + "grad_norm": 0.6930803656578064, + "learning_rate": 8e-05, + "loss": 1.7309, + "step": 1600 + }, + { + "epoch": 0.778034260721662, + "grad_norm": 0.6944562196731567, + "learning_rate": 8e-05, + "loss": 1.6177, + "step": 1601 + }, + { + "epoch": 0.778520228404811, + "grad_norm": 0.641501784324646, + "learning_rate": 8e-05, + "loss": 1.5951, + "step": 1602 + }, + { + "epoch": 0.7790061960879602, + "grad_norm": 0.6454229950904846, + "learning_rate": 8e-05, + "loss": 1.6288, + "step": 1603 + }, + { + "epoch": 0.7794921637711092, + "grad_norm": 0.6681306958198547, + "learning_rate": 8e-05, + "loss": 1.5893, + "step": 1604 + }, + { + "epoch": 0.7799781314542583, + "grad_norm": 0.679373562335968, + "learning_rate": 8e-05, + "loss": 1.782, + "step": 1605 + }, + { + "epoch": 0.7804640991374073, + "grad_norm": 0.6566761136054993, + "learning_rate": 8e-05, + "loss": 1.6877, + "step": 1606 + }, + { + "epoch": 0.7809500668205565, + "grad_norm": 0.6666831970214844, + "learning_rate": 8e-05, + "loss": 1.7413, + "step": 1607 + }, + { + "epoch": 0.7814360345037055, + "grad_norm": 0.6732777953147888, + "learning_rate": 8e-05, + "loss": 1.6067, + "step": 1608 + }, + { + "epoch": 0.7819220021868546, + "grad_norm": 0.6751415133476257, + "learning_rate": 8e-05, + "loss": 1.5491, + "step": 1609 + }, + { + "epoch": 0.7824079698700036, + "grad_norm": 0.6782683730125427, + "learning_rate": 8e-05, + "loss": 1.7391, + "step": 1610 + }, + { + "epoch": 0.7828939375531527, + "grad_norm": 0.6788360476493835, + "learning_rate": 8e-05, + "loss": 1.7203, + "step": 1611 + }, + { + "epoch": 0.7833799052363017, + "grad_norm": 0.7067826986312866, + "learning_rate": 8e-05, + "loss": 1.7645, + "step": 1612 + }, + { + "epoch": 0.7838658729194509, + "grad_norm": 0.6764886379241943, + "learning_rate": 8e-05, + "loss": 1.5745, + "step": 1613 + }, + { + "epoch": 0.7843518406025999, + "grad_norm": 0.6709634065628052, + "learning_rate": 8e-05, + "loss": 1.6611, + "step": 1614 + }, + { + "epoch": 0.784837808285749, + "grad_norm": 0.6712684035301208, + "learning_rate": 8e-05, + "loss": 1.6091, + "step": 1615 + }, + { + "epoch": 0.785323775968898, + "grad_norm": 0.6782966256141663, + "learning_rate": 8e-05, + "loss": 1.763, + "step": 1616 + }, + { + "epoch": 0.7858097436520471, + "grad_norm": 0.696746289730072, + "learning_rate": 8e-05, + "loss": 1.6555, + "step": 1617 + }, + { + "epoch": 0.7862957113351962, + "grad_norm": 0.6854478120803833, + "learning_rate": 8e-05, + "loss": 1.6408, + "step": 1618 + }, + { + "epoch": 0.7867816790183453, + "grad_norm": 0.6995331645011902, + "learning_rate": 8e-05, + "loss": 1.8078, + "step": 1619 + }, + { + "epoch": 0.7872676467014944, + "grad_norm": 0.6669647693634033, + "learning_rate": 8e-05, + "loss": 1.7104, + "step": 1620 + }, + { + "epoch": 0.7877536143846434, + "grad_norm": 0.6792809963226318, + "learning_rate": 8e-05, + "loss": 1.5991, + "step": 1621 + }, + { + "epoch": 0.7882395820677925, + "grad_norm": 0.6517792344093323, + "learning_rate": 8e-05, + "loss": 1.5157, + "step": 1622 + }, + { + "epoch": 0.7887255497509416, + "grad_norm": 0.6973136067390442, + "learning_rate": 8e-05, + "loss": 1.6118, + "step": 1623 + }, + { + "epoch": 0.7892115174340907, + "grad_norm": 0.6901780962944031, + "learning_rate": 8e-05, + "loss": 1.6117, + "step": 1624 + }, + { + "epoch": 0.7896974851172397, + "grad_norm": 0.6688944697380066, + "learning_rate": 8e-05, + "loss": 1.6668, + "step": 1625 + }, + { + "epoch": 0.7901834528003888, + "grad_norm": 0.6714779138565063, + "learning_rate": 8e-05, + "loss": 1.6393, + "step": 1626 + }, + { + "epoch": 0.7906694204835378, + "grad_norm": 0.6646644473075867, + "learning_rate": 8e-05, + "loss": 1.7112, + "step": 1627 + }, + { + "epoch": 0.791155388166687, + "grad_norm": 0.7120575308799744, + "learning_rate": 8e-05, + "loss": 1.7342, + "step": 1628 + }, + { + "epoch": 0.791641355849836, + "grad_norm": 0.6747168898582458, + "learning_rate": 8e-05, + "loss": 1.7522, + "step": 1629 + }, + { + "epoch": 0.7921273235329851, + "grad_norm": 0.6929645538330078, + "learning_rate": 8e-05, + "loss": 1.649, + "step": 1630 + }, + { + "epoch": 0.7926132912161341, + "grad_norm": 0.6746399998664856, + "learning_rate": 8e-05, + "loss": 1.7183, + "step": 1631 + }, + { + "epoch": 0.7930992588992832, + "grad_norm": 0.7156386971473694, + "learning_rate": 8e-05, + "loss": 1.7142, + "step": 1632 + }, + { + "epoch": 0.7935852265824322, + "grad_norm": 0.674637496471405, + "learning_rate": 8e-05, + "loss": 1.6821, + "step": 1633 + }, + { + "epoch": 0.7940711942655814, + "grad_norm": 0.6594585180282593, + "learning_rate": 8e-05, + "loss": 1.6845, + "step": 1634 + }, + { + "epoch": 0.7945571619487304, + "grad_norm": 0.7104175686836243, + "learning_rate": 8e-05, + "loss": 1.6733, + "step": 1635 + }, + { + "epoch": 0.7950431296318795, + "grad_norm": 0.6906667947769165, + "learning_rate": 8e-05, + "loss": 1.7845, + "step": 1636 + }, + { + "epoch": 0.7955290973150285, + "grad_norm": 0.6826514601707458, + "learning_rate": 8e-05, + "loss": 1.7153, + "step": 1637 + }, + { + "epoch": 0.7960150649981776, + "grad_norm": 0.6801000833511353, + "learning_rate": 8e-05, + "loss": 1.6609, + "step": 1638 + }, + { + "epoch": 0.7965010326813267, + "grad_norm": 0.6828523278236389, + "learning_rate": 8e-05, + "loss": 1.669, + "step": 1639 + }, + { + "epoch": 0.7969870003644758, + "grad_norm": 0.664400577545166, + "learning_rate": 8e-05, + "loss": 1.6679, + "step": 1640 + }, + { + "epoch": 0.7974729680476248, + "grad_norm": 0.6488589644432068, + "learning_rate": 8e-05, + "loss": 1.6639, + "step": 1641 + }, + { + "epoch": 0.7979589357307739, + "grad_norm": 0.6523492932319641, + "learning_rate": 8e-05, + "loss": 1.6958, + "step": 1642 + }, + { + "epoch": 0.7984449034139229, + "grad_norm": 0.6777427196502686, + "learning_rate": 8e-05, + "loss": 1.6381, + "step": 1643 + }, + { + "epoch": 0.7989308710970721, + "grad_norm": 0.6841310858726501, + "learning_rate": 8e-05, + "loss": 1.7176, + "step": 1644 + }, + { + "epoch": 0.7994168387802211, + "grad_norm": 0.7123305797576904, + "learning_rate": 8e-05, + "loss": 1.7731, + "step": 1645 + }, + { + "epoch": 0.7999028064633702, + "grad_norm": 0.6457357406616211, + "learning_rate": 8e-05, + "loss": 1.6669, + "step": 1646 + }, + { + "epoch": 0.8003887741465192, + "grad_norm": 0.6546925902366638, + "learning_rate": 8e-05, + "loss": 1.6406, + "step": 1647 + }, + { + "epoch": 0.8008747418296683, + "grad_norm": 0.6729357838630676, + "learning_rate": 8e-05, + "loss": 1.6421, + "step": 1648 + }, + { + "epoch": 0.8013607095128173, + "grad_norm": 0.6574150323867798, + "learning_rate": 8e-05, + "loss": 1.7145, + "step": 1649 + }, + { + "epoch": 0.8018466771959665, + "grad_norm": 0.6656662821769714, + "learning_rate": 8e-05, + "loss": 1.6956, + "step": 1650 + }, + { + "epoch": 0.8023326448791155, + "grad_norm": 0.6765982508659363, + "learning_rate": 8e-05, + "loss": 1.6938, + "step": 1651 + }, + { + "epoch": 0.8028186125622646, + "grad_norm": 0.6516674160957336, + "learning_rate": 8e-05, + "loss": 1.5509, + "step": 1652 + }, + { + "epoch": 0.8033045802454137, + "grad_norm": 0.6466244459152222, + "learning_rate": 8e-05, + "loss": 1.6498, + "step": 1653 + }, + { + "epoch": 0.8037905479285627, + "grad_norm": 0.6649731397628784, + "learning_rate": 8e-05, + "loss": 1.6592, + "step": 1654 + }, + { + "epoch": 0.8042765156117119, + "grad_norm": 0.6725707054138184, + "learning_rate": 8e-05, + "loss": 1.6602, + "step": 1655 + }, + { + "epoch": 0.8047624832948609, + "grad_norm": 0.652783215045929, + "learning_rate": 8e-05, + "loss": 1.6981, + "step": 1656 + }, + { + "epoch": 0.80524845097801, + "grad_norm": 0.6978988647460938, + "learning_rate": 8e-05, + "loss": 1.7201, + "step": 1657 + }, + { + "epoch": 0.805734418661159, + "grad_norm": 0.6671270728111267, + "learning_rate": 8e-05, + "loss": 1.6079, + "step": 1658 + }, + { + "epoch": 0.8062203863443081, + "grad_norm": 0.6724951267242432, + "learning_rate": 8e-05, + "loss": 1.7342, + "step": 1659 + }, + { + "epoch": 0.8067063540274572, + "grad_norm": 0.6563026905059814, + "learning_rate": 8e-05, + "loss": 1.6017, + "step": 1660 + }, + { + "epoch": 0.8071923217106063, + "grad_norm": 0.6624600291252136, + "learning_rate": 8e-05, + "loss": 1.7211, + "step": 1661 + }, + { + "epoch": 0.8076782893937553, + "grad_norm": 0.6483842730522156, + "learning_rate": 8e-05, + "loss": 1.6784, + "step": 1662 + }, + { + "epoch": 0.8081642570769044, + "grad_norm": 0.6401728987693787, + "learning_rate": 8e-05, + "loss": 1.7595, + "step": 1663 + }, + { + "epoch": 0.8086502247600534, + "grad_norm": 0.6619211435317993, + "learning_rate": 8e-05, + "loss": 1.6146, + "step": 1664 + }, + { + "epoch": 0.8091361924432026, + "grad_norm": 0.6928635835647583, + "learning_rate": 8e-05, + "loss": 1.7063, + "step": 1665 + }, + { + "epoch": 0.8096221601263516, + "grad_norm": 0.683233916759491, + "learning_rate": 8e-05, + "loss": 1.7526, + "step": 1666 + }, + { + "epoch": 0.8101081278095007, + "grad_norm": 0.679440438747406, + "learning_rate": 8e-05, + "loss": 1.633, + "step": 1667 + }, + { + "epoch": 0.8105940954926497, + "grad_norm": 0.6649330854415894, + "learning_rate": 8e-05, + "loss": 1.6395, + "step": 1668 + }, + { + "epoch": 0.8110800631757988, + "grad_norm": 0.6575503349304199, + "learning_rate": 8e-05, + "loss": 1.6441, + "step": 1669 + }, + { + "epoch": 0.8115660308589479, + "grad_norm": 0.6423405408859253, + "learning_rate": 8e-05, + "loss": 1.6277, + "step": 1670 + }, + { + "epoch": 0.812051998542097, + "grad_norm": 0.6560837030410767, + "learning_rate": 8e-05, + "loss": 1.645, + "step": 1671 + }, + { + "epoch": 0.812537966225246, + "grad_norm": 0.6727367639541626, + "learning_rate": 8e-05, + "loss": 1.7722, + "step": 1672 + }, + { + "epoch": 0.8130239339083951, + "grad_norm": 0.6503103971481323, + "learning_rate": 8e-05, + "loss": 1.7444, + "step": 1673 + }, + { + "epoch": 0.8135099015915441, + "grad_norm": 0.6658689975738525, + "learning_rate": 8e-05, + "loss": 1.6827, + "step": 1674 + }, + { + "epoch": 0.8139958692746933, + "grad_norm": 0.6826659440994263, + "learning_rate": 8e-05, + "loss": 1.7027, + "step": 1675 + }, + { + "epoch": 0.8144818369578423, + "grad_norm": 0.6767047643661499, + "learning_rate": 8e-05, + "loss": 1.6451, + "step": 1676 + }, + { + "epoch": 0.8149678046409914, + "grad_norm": 0.6819015145301819, + "learning_rate": 8e-05, + "loss": 1.6973, + "step": 1677 + }, + { + "epoch": 0.8154537723241404, + "grad_norm": 0.7023846507072449, + "learning_rate": 8e-05, + "loss": 1.6463, + "step": 1678 + }, + { + "epoch": 0.8159397400072895, + "grad_norm": 0.65855872631073, + "learning_rate": 8e-05, + "loss": 1.6196, + "step": 1679 + }, + { + "epoch": 0.8164257076904385, + "grad_norm": 0.6517550349235535, + "learning_rate": 8e-05, + "loss": 1.6227, + "step": 1680 + }, + { + "epoch": 0.8169116753735877, + "grad_norm": 0.6774021983146667, + "learning_rate": 8e-05, + "loss": 1.691, + "step": 1681 + }, + { + "epoch": 0.8173976430567367, + "grad_norm": 0.6862616539001465, + "learning_rate": 8e-05, + "loss": 1.6686, + "step": 1682 + }, + { + "epoch": 0.8178836107398858, + "grad_norm": 0.674959659576416, + "learning_rate": 8e-05, + "loss": 1.6293, + "step": 1683 + }, + { + "epoch": 0.8183695784230348, + "grad_norm": 0.6573413014411926, + "learning_rate": 8e-05, + "loss": 1.6629, + "step": 1684 + }, + { + "epoch": 0.8188555461061839, + "grad_norm": 0.6346238255500793, + "learning_rate": 8e-05, + "loss": 1.5621, + "step": 1685 + }, + { + "epoch": 0.8193415137893331, + "grad_norm": 0.71464604139328, + "learning_rate": 8e-05, + "loss": 1.7703, + "step": 1686 + }, + { + "epoch": 0.8198274814724821, + "grad_norm": 0.6695051193237305, + "learning_rate": 8e-05, + "loss": 1.7363, + "step": 1687 + }, + { + "epoch": 0.8203134491556312, + "grad_norm": 0.6487131714820862, + "learning_rate": 8e-05, + "loss": 1.5845, + "step": 1688 + }, + { + "epoch": 0.8207994168387802, + "grad_norm": 0.7074949741363525, + "learning_rate": 8e-05, + "loss": 1.6874, + "step": 1689 + }, + { + "epoch": 0.8212853845219293, + "grad_norm": 0.6579431295394897, + "learning_rate": 8e-05, + "loss": 1.654, + "step": 1690 + }, + { + "epoch": 0.8217713522050784, + "grad_norm": 0.6742346286773682, + "learning_rate": 8e-05, + "loss": 1.6576, + "step": 1691 + }, + { + "epoch": 0.8222573198882275, + "grad_norm": 0.6613596081733704, + "learning_rate": 8e-05, + "loss": 1.7023, + "step": 1692 + }, + { + "epoch": 0.8227432875713765, + "grad_norm": 0.7009580731391907, + "learning_rate": 8e-05, + "loss": 1.7069, + "step": 1693 + }, + { + "epoch": 0.8232292552545256, + "grad_norm": 0.6702130436897278, + "learning_rate": 8e-05, + "loss": 1.6375, + "step": 1694 + }, + { + "epoch": 0.8237152229376746, + "grad_norm": 0.6954506039619446, + "learning_rate": 8e-05, + "loss": 1.6986, + "step": 1695 + }, + { + "epoch": 0.8242011906208238, + "grad_norm": 0.6572551727294922, + "learning_rate": 8e-05, + "loss": 1.6645, + "step": 1696 + }, + { + "epoch": 0.8246871583039728, + "grad_norm": 0.705899178981781, + "learning_rate": 8e-05, + "loss": 1.7666, + "step": 1697 + }, + { + "epoch": 0.8251731259871219, + "grad_norm": 0.6812430024147034, + "learning_rate": 8e-05, + "loss": 1.6612, + "step": 1698 + }, + { + "epoch": 0.8256590936702709, + "grad_norm": 0.7121571898460388, + "learning_rate": 8e-05, + "loss": 1.6573, + "step": 1699 + }, + { + "epoch": 0.82614506135342, + "grad_norm": 0.678684413433075, + "learning_rate": 8e-05, + "loss": 1.6757, + "step": 1700 + }, + { + "epoch": 0.826631029036569, + "grad_norm": 0.6954318881034851, + "learning_rate": 8e-05, + "loss": 1.6626, + "step": 1701 + }, + { + "epoch": 0.8271169967197182, + "grad_norm": 0.6913411021232605, + "learning_rate": 8e-05, + "loss": 1.5989, + "step": 1702 + }, + { + "epoch": 0.8276029644028672, + "grad_norm": 0.7107827663421631, + "learning_rate": 8e-05, + "loss": 1.6652, + "step": 1703 + }, + { + "epoch": 0.8280889320860163, + "grad_norm": 0.6907193660736084, + "learning_rate": 8e-05, + "loss": 1.5557, + "step": 1704 + }, + { + "epoch": 0.8285748997691653, + "grad_norm": 0.6549775004386902, + "learning_rate": 8e-05, + "loss": 1.7031, + "step": 1705 + }, + { + "epoch": 0.8290608674523144, + "grad_norm": 0.7105585336685181, + "learning_rate": 8e-05, + "loss": 1.7689, + "step": 1706 + }, + { + "epoch": 0.8295468351354635, + "grad_norm": 0.6628891229629517, + "learning_rate": 8e-05, + "loss": 1.6635, + "step": 1707 + }, + { + "epoch": 0.8300328028186126, + "grad_norm": 0.6859626770019531, + "learning_rate": 8e-05, + "loss": 1.6045, + "step": 1708 + }, + { + "epoch": 0.8305187705017616, + "grad_norm": 0.6636143922805786, + "learning_rate": 8e-05, + "loss": 1.6099, + "step": 1709 + }, + { + "epoch": 0.8310047381849107, + "grad_norm": 0.6762420535087585, + "learning_rate": 8e-05, + "loss": 1.6716, + "step": 1710 + }, + { + "epoch": 0.8314907058680597, + "grad_norm": 0.6610211730003357, + "learning_rate": 8e-05, + "loss": 1.6556, + "step": 1711 + }, + { + "epoch": 0.8319766735512089, + "grad_norm": 0.6736442446708679, + "learning_rate": 8e-05, + "loss": 1.704, + "step": 1712 + }, + { + "epoch": 0.8324626412343579, + "grad_norm": 0.653008222579956, + "learning_rate": 8e-05, + "loss": 1.6496, + "step": 1713 + }, + { + "epoch": 0.832948608917507, + "grad_norm": 0.6692138910293579, + "learning_rate": 8e-05, + "loss": 1.6101, + "step": 1714 + }, + { + "epoch": 0.833434576600656, + "grad_norm": 0.6916235685348511, + "learning_rate": 8e-05, + "loss": 1.8379, + "step": 1715 + }, + { + "epoch": 0.8339205442838051, + "grad_norm": 0.7164344787597656, + "learning_rate": 8e-05, + "loss": 1.72, + "step": 1716 + }, + { + "epoch": 0.8344065119669541, + "grad_norm": 0.6661994457244873, + "learning_rate": 8e-05, + "loss": 1.6264, + "step": 1717 + }, + { + "epoch": 0.8348924796501033, + "grad_norm": 0.6573705673217773, + "learning_rate": 8e-05, + "loss": 1.5695, + "step": 1718 + }, + { + "epoch": 0.8353784473332524, + "grad_norm": 0.726266086101532, + "learning_rate": 8e-05, + "loss": 1.7715, + "step": 1719 + }, + { + "epoch": 0.8358644150164014, + "grad_norm": 0.6787089705467224, + "learning_rate": 8e-05, + "loss": 1.7132, + "step": 1720 + }, + { + "epoch": 0.8363503826995505, + "grad_norm": 0.6832931041717529, + "learning_rate": 8e-05, + "loss": 1.7205, + "step": 1721 + }, + { + "epoch": 0.8368363503826995, + "grad_norm": 0.694518506526947, + "learning_rate": 8e-05, + "loss": 1.7265, + "step": 1722 + }, + { + "epoch": 0.8373223180658487, + "grad_norm": 0.6822140216827393, + "learning_rate": 8e-05, + "loss": 1.5942, + "step": 1723 + }, + { + "epoch": 0.8378082857489977, + "grad_norm": 0.6725249886512756, + "learning_rate": 8e-05, + "loss": 1.6734, + "step": 1724 + }, + { + "epoch": 0.8382942534321468, + "grad_norm": 0.6663880348205566, + "learning_rate": 8e-05, + "loss": 1.6267, + "step": 1725 + }, + { + "epoch": 0.8387802211152958, + "grad_norm": 0.7269116640090942, + "learning_rate": 8e-05, + "loss": 1.7339, + "step": 1726 + }, + { + "epoch": 0.839266188798445, + "grad_norm": 0.6689306497573853, + "learning_rate": 8e-05, + "loss": 1.7258, + "step": 1727 + }, + { + "epoch": 0.839752156481594, + "grad_norm": 0.7352984547615051, + "learning_rate": 8e-05, + "loss": 1.7896, + "step": 1728 + }, + { + "epoch": 0.8402381241647431, + "grad_norm": 0.6966548562049866, + "learning_rate": 8e-05, + "loss": 1.7736, + "step": 1729 + }, + { + "epoch": 0.8407240918478921, + "grad_norm": 0.6895444393157959, + "learning_rate": 8e-05, + "loss": 1.6579, + "step": 1730 + }, + { + "epoch": 0.8412100595310412, + "grad_norm": 0.6928750872612, + "learning_rate": 8e-05, + "loss": 1.664, + "step": 1731 + }, + { + "epoch": 0.8416960272141902, + "grad_norm": 0.6821669936180115, + "learning_rate": 8e-05, + "loss": 1.7176, + "step": 1732 + }, + { + "epoch": 0.8421819948973394, + "grad_norm": 0.6883020997047424, + "learning_rate": 8e-05, + "loss": 1.7509, + "step": 1733 + }, + { + "epoch": 0.8426679625804884, + "grad_norm": 0.6700498461723328, + "learning_rate": 8e-05, + "loss": 1.7517, + "step": 1734 + }, + { + "epoch": 0.8431539302636375, + "grad_norm": 0.7519075274467468, + "learning_rate": 8e-05, + "loss": 1.737, + "step": 1735 + }, + { + "epoch": 0.8436398979467865, + "grad_norm": 0.6804175972938538, + "learning_rate": 8e-05, + "loss": 1.6785, + "step": 1736 + }, + { + "epoch": 0.8441258656299356, + "grad_norm": 0.7451002597808838, + "learning_rate": 8e-05, + "loss": 1.6459, + "step": 1737 + }, + { + "epoch": 0.8446118333130846, + "grad_norm": 0.7072980403900146, + "learning_rate": 8e-05, + "loss": 1.5769, + "step": 1738 + }, + { + "epoch": 0.8450978009962338, + "grad_norm": 0.7238991260528564, + "learning_rate": 8e-05, + "loss": 1.7186, + "step": 1739 + }, + { + "epoch": 0.8455837686793828, + "grad_norm": 0.6569130420684814, + "learning_rate": 8e-05, + "loss": 1.6084, + "step": 1740 + }, + { + "epoch": 0.8460697363625319, + "grad_norm": 0.6824528574943542, + "learning_rate": 8e-05, + "loss": 1.6799, + "step": 1741 + }, + { + "epoch": 0.8465557040456809, + "grad_norm": 0.6826590299606323, + "learning_rate": 8e-05, + "loss": 1.679, + "step": 1742 + }, + { + "epoch": 0.84704167172883, + "grad_norm": 0.6838353872299194, + "learning_rate": 8e-05, + "loss": 1.7255, + "step": 1743 + }, + { + "epoch": 0.8475276394119791, + "grad_norm": 0.713826060295105, + "learning_rate": 8e-05, + "loss": 1.7195, + "step": 1744 + }, + { + "epoch": 0.8480136070951282, + "grad_norm": 0.6586517095565796, + "learning_rate": 8e-05, + "loss": 1.6722, + "step": 1745 + }, + { + "epoch": 0.8484995747782772, + "grad_norm": 0.7085291743278503, + "learning_rate": 8e-05, + "loss": 1.6341, + "step": 1746 + }, + { + "epoch": 0.8489855424614263, + "grad_norm": 0.7082439064979553, + "learning_rate": 8e-05, + "loss": 1.785, + "step": 1747 + }, + { + "epoch": 0.8494715101445753, + "grad_norm": 0.7442111372947693, + "learning_rate": 8e-05, + "loss": 1.7758, + "step": 1748 + }, + { + "epoch": 0.8499574778277245, + "grad_norm": 0.691892147064209, + "learning_rate": 8e-05, + "loss": 1.7063, + "step": 1749 + }, + { + "epoch": 0.8504434455108735, + "grad_norm": 0.7040305137634277, + "learning_rate": 8e-05, + "loss": 1.6244, + "step": 1750 + }, + { + "epoch": 0.8509294131940226, + "grad_norm": 0.71602463722229, + "learning_rate": 8e-05, + "loss": 1.8298, + "step": 1751 + }, + { + "epoch": 0.8514153808771717, + "grad_norm": 0.670871913433075, + "learning_rate": 8e-05, + "loss": 1.6063, + "step": 1752 + }, + { + "epoch": 0.8519013485603207, + "grad_norm": 0.7218164205551147, + "learning_rate": 8e-05, + "loss": 1.8289, + "step": 1753 + }, + { + "epoch": 0.8523873162434699, + "grad_norm": 0.6693719029426575, + "learning_rate": 8e-05, + "loss": 1.7267, + "step": 1754 + }, + { + "epoch": 0.8528732839266189, + "grad_norm": 0.6950780153274536, + "learning_rate": 8e-05, + "loss": 1.7439, + "step": 1755 + }, + { + "epoch": 0.853359251609768, + "grad_norm": 0.6605235934257507, + "learning_rate": 8e-05, + "loss": 1.613, + "step": 1756 + }, + { + "epoch": 0.853845219292917, + "grad_norm": 0.7284364104270935, + "learning_rate": 8e-05, + "loss": 1.8269, + "step": 1757 + }, + { + "epoch": 0.8543311869760661, + "grad_norm": 0.7385477423667908, + "learning_rate": 8e-05, + "loss": 1.613, + "step": 1758 + }, + { + "epoch": 0.8548171546592152, + "grad_norm": 0.688685953617096, + "learning_rate": 8e-05, + "loss": 1.7648, + "step": 1759 + }, + { + "epoch": 0.8553031223423643, + "grad_norm": 0.669029176235199, + "learning_rate": 8e-05, + "loss": 1.584, + "step": 1760 + }, + { + "epoch": 0.8557890900255133, + "grad_norm": 0.6909924745559692, + "learning_rate": 8e-05, + "loss": 1.6938, + "step": 1761 + }, + { + "epoch": 0.8562750577086624, + "grad_norm": 0.6854159235954285, + "learning_rate": 8e-05, + "loss": 1.6391, + "step": 1762 + }, + { + "epoch": 0.8567610253918114, + "grad_norm": 0.6548773050308228, + "learning_rate": 8e-05, + "loss": 1.6091, + "step": 1763 + }, + { + "epoch": 0.8572469930749606, + "grad_norm": 0.6639196872711182, + "learning_rate": 8e-05, + "loss": 1.675, + "step": 1764 + }, + { + "epoch": 0.8577329607581096, + "grad_norm": 0.6739024519920349, + "learning_rate": 8e-05, + "loss": 1.7121, + "step": 1765 + }, + { + "epoch": 0.8582189284412587, + "grad_norm": 0.6737241744995117, + "learning_rate": 8e-05, + "loss": 1.6915, + "step": 1766 + }, + { + "epoch": 0.8587048961244077, + "grad_norm": 0.6587862372398376, + "learning_rate": 8e-05, + "loss": 1.7431, + "step": 1767 + }, + { + "epoch": 0.8591908638075568, + "grad_norm": 0.6910162568092346, + "learning_rate": 8e-05, + "loss": 1.7145, + "step": 1768 + }, + { + "epoch": 0.8596768314907058, + "grad_norm": 0.653241753578186, + "learning_rate": 8e-05, + "loss": 1.6481, + "step": 1769 + }, + { + "epoch": 0.860162799173855, + "grad_norm": 0.67633056640625, + "learning_rate": 8e-05, + "loss": 1.728, + "step": 1770 + }, + { + "epoch": 0.860648766857004, + "grad_norm": 0.6771542429924011, + "learning_rate": 8e-05, + "loss": 1.7096, + "step": 1771 + }, + { + "epoch": 0.8611347345401531, + "grad_norm": 0.6699610948562622, + "learning_rate": 8e-05, + "loss": 1.6338, + "step": 1772 + }, + { + "epoch": 0.8616207022233021, + "grad_norm": 0.6539821624755859, + "learning_rate": 8e-05, + "loss": 1.702, + "step": 1773 + }, + { + "epoch": 0.8621066699064512, + "grad_norm": 0.6515360474586487, + "learning_rate": 8e-05, + "loss": 1.6844, + "step": 1774 + }, + { + "epoch": 0.8625926375896003, + "grad_norm": 0.6994085907936096, + "learning_rate": 8e-05, + "loss": 1.7161, + "step": 1775 + }, + { + "epoch": 0.8630786052727494, + "grad_norm": 0.6588917970657349, + "learning_rate": 8e-05, + "loss": 1.7202, + "step": 1776 + }, + { + "epoch": 0.8635645729558984, + "grad_norm": 0.682744026184082, + "learning_rate": 8e-05, + "loss": 1.6886, + "step": 1777 + }, + { + "epoch": 0.8640505406390475, + "grad_norm": 0.6884380578994751, + "learning_rate": 8e-05, + "loss": 1.8086, + "step": 1778 + }, + { + "epoch": 0.8645365083221965, + "grad_norm": 0.6964172720909119, + "learning_rate": 8e-05, + "loss": 1.6364, + "step": 1779 + }, + { + "epoch": 0.8650224760053457, + "grad_norm": 0.6899030208587646, + "learning_rate": 8e-05, + "loss": 1.7668, + "step": 1780 + }, + { + "epoch": 0.8655084436884947, + "grad_norm": 0.6597136855125427, + "learning_rate": 8e-05, + "loss": 1.729, + "step": 1781 + }, + { + "epoch": 0.8659944113716438, + "grad_norm": 0.6974450945854187, + "learning_rate": 8e-05, + "loss": 1.8707, + "step": 1782 + }, + { + "epoch": 0.8664803790547928, + "grad_norm": 1.038147211074829, + "learning_rate": 8e-05, + "loss": 1.6862, + "step": 1783 + }, + { + "epoch": 0.8669663467379419, + "grad_norm": 0.6581987738609314, + "learning_rate": 8e-05, + "loss": 1.7526, + "step": 1784 + }, + { + "epoch": 0.8674523144210909, + "grad_norm": 0.6819844245910645, + "learning_rate": 8e-05, + "loss": 1.6975, + "step": 1785 + }, + { + "epoch": 0.8679382821042401, + "grad_norm": 0.6529338955879211, + "learning_rate": 8e-05, + "loss": 1.7288, + "step": 1786 + }, + { + "epoch": 0.8684242497873892, + "grad_norm": 0.6735305190086365, + "learning_rate": 8e-05, + "loss": 1.7271, + "step": 1787 + }, + { + "epoch": 0.8689102174705382, + "grad_norm": 0.6424468755722046, + "learning_rate": 8e-05, + "loss": 1.681, + "step": 1788 + }, + { + "epoch": 0.8693961851536873, + "grad_norm": 0.7199828624725342, + "learning_rate": 8e-05, + "loss": 1.6234, + "step": 1789 + }, + { + "epoch": 0.8698821528368363, + "grad_norm": 0.6636258363723755, + "learning_rate": 8e-05, + "loss": 1.7106, + "step": 1790 + }, + { + "epoch": 0.8703681205199855, + "grad_norm": 0.6772566437721252, + "learning_rate": 8e-05, + "loss": 1.7446, + "step": 1791 + }, + { + "epoch": 0.8708540882031345, + "grad_norm": 0.6450766324996948, + "learning_rate": 8e-05, + "loss": 1.6259, + "step": 1792 + }, + { + "epoch": 0.8713400558862836, + "grad_norm": 0.7758142352104187, + "learning_rate": 8e-05, + "loss": 1.7174, + "step": 1793 + }, + { + "epoch": 0.8718260235694326, + "grad_norm": 0.6626909375190735, + "learning_rate": 8e-05, + "loss": 1.6014, + "step": 1794 + }, + { + "epoch": 0.8723119912525817, + "grad_norm": 0.6452525854110718, + "learning_rate": 8e-05, + "loss": 1.6926, + "step": 1795 + }, + { + "epoch": 0.8727979589357308, + "grad_norm": 0.70649254322052, + "learning_rate": 8e-05, + "loss": 1.7034, + "step": 1796 + }, + { + "epoch": 0.8732839266188799, + "grad_norm": 0.6932821273803711, + "learning_rate": 8e-05, + "loss": 1.6843, + "step": 1797 + }, + { + "epoch": 0.8737698943020289, + "grad_norm": 0.65278160572052, + "learning_rate": 8e-05, + "loss": 1.6776, + "step": 1798 + }, + { + "epoch": 0.874255861985178, + "grad_norm": 0.6483907699584961, + "learning_rate": 8e-05, + "loss": 1.681, + "step": 1799 + }, + { + "epoch": 0.874741829668327, + "grad_norm": 0.7433518171310425, + "learning_rate": 8e-05, + "loss": 1.7305, + "step": 1800 + }, + { + "epoch": 0.8752277973514762, + "grad_norm": 0.6555415987968445, + "learning_rate": 8e-05, + "loss": 1.6179, + "step": 1801 + }, + { + "epoch": 0.8757137650346252, + "grad_norm": 0.6878352761268616, + "learning_rate": 8e-05, + "loss": 1.6793, + "step": 1802 + }, + { + "epoch": 0.8761997327177743, + "grad_norm": 0.6694982051849365, + "learning_rate": 8e-05, + "loss": 1.7174, + "step": 1803 + }, + { + "epoch": 0.8766857004009233, + "grad_norm": 0.6793036460876465, + "learning_rate": 8e-05, + "loss": 1.6446, + "step": 1804 + }, + { + "epoch": 0.8771716680840724, + "grad_norm": 0.636803925037384, + "learning_rate": 8e-05, + "loss": 1.606, + "step": 1805 + }, + { + "epoch": 0.8776576357672214, + "grad_norm": 0.6755457520484924, + "learning_rate": 8e-05, + "loss": 1.6639, + "step": 1806 + }, + { + "epoch": 0.8781436034503706, + "grad_norm": 0.6671308279037476, + "learning_rate": 8e-05, + "loss": 1.6524, + "step": 1807 + }, + { + "epoch": 0.8786295711335196, + "grad_norm": 0.6934971809387207, + "learning_rate": 8e-05, + "loss": 1.4992, + "step": 1808 + }, + { + "epoch": 0.8791155388166687, + "grad_norm": 0.6724815964698792, + "learning_rate": 8e-05, + "loss": 1.6327, + "step": 1809 + }, + { + "epoch": 0.8796015064998177, + "grad_norm": 0.6763851642608643, + "learning_rate": 8e-05, + "loss": 1.7384, + "step": 1810 + }, + { + "epoch": 0.8800874741829668, + "grad_norm": 0.6741973757743835, + "learning_rate": 8e-05, + "loss": 1.6962, + "step": 1811 + }, + { + "epoch": 0.8805734418661159, + "grad_norm": 0.665202796459198, + "learning_rate": 8e-05, + "loss": 1.6914, + "step": 1812 + }, + { + "epoch": 0.881059409549265, + "grad_norm": 0.6968621611595154, + "learning_rate": 8e-05, + "loss": 1.7722, + "step": 1813 + }, + { + "epoch": 0.881545377232414, + "grad_norm": 0.6793668866157532, + "learning_rate": 8e-05, + "loss": 1.7416, + "step": 1814 + }, + { + "epoch": 0.8820313449155631, + "grad_norm": 0.6444291472434998, + "learning_rate": 8e-05, + "loss": 1.6307, + "step": 1815 + }, + { + "epoch": 0.8825173125987121, + "grad_norm": 0.6695525646209717, + "learning_rate": 8e-05, + "loss": 1.7799, + "step": 1816 + }, + { + "epoch": 0.8830032802818613, + "grad_norm": 0.6512060165405273, + "learning_rate": 8e-05, + "loss": 1.7006, + "step": 1817 + }, + { + "epoch": 0.8834892479650103, + "grad_norm": 0.6590713858604431, + "learning_rate": 8e-05, + "loss": 1.6507, + "step": 1818 + }, + { + "epoch": 0.8839752156481594, + "grad_norm": 0.6567363739013672, + "learning_rate": 8e-05, + "loss": 1.7363, + "step": 1819 + }, + { + "epoch": 0.8844611833313085, + "grad_norm": 0.6752829551696777, + "learning_rate": 8e-05, + "loss": 1.6546, + "step": 1820 + }, + { + "epoch": 0.8849471510144575, + "grad_norm": 0.6696698665618896, + "learning_rate": 8e-05, + "loss": 1.6801, + "step": 1821 + }, + { + "epoch": 0.8854331186976067, + "grad_norm": 0.6774300932884216, + "learning_rate": 8e-05, + "loss": 1.7286, + "step": 1822 + }, + { + "epoch": 0.8859190863807557, + "grad_norm": 0.6522386074066162, + "learning_rate": 8e-05, + "loss": 1.5695, + "step": 1823 + }, + { + "epoch": 0.8864050540639048, + "grad_norm": 0.6667071580886841, + "learning_rate": 8e-05, + "loss": 1.6367, + "step": 1824 + }, + { + "epoch": 0.8868910217470538, + "grad_norm": 0.6633548736572266, + "learning_rate": 8e-05, + "loss": 1.7939, + "step": 1825 + }, + { + "epoch": 0.8873769894302029, + "grad_norm": 0.6646820306777954, + "learning_rate": 8e-05, + "loss": 1.6714, + "step": 1826 + }, + { + "epoch": 0.887862957113352, + "grad_norm": 0.6537835001945496, + "learning_rate": 8e-05, + "loss": 1.6993, + "step": 1827 + }, + { + "epoch": 0.8883489247965011, + "grad_norm": 0.676357090473175, + "learning_rate": 8e-05, + "loss": 1.7023, + "step": 1828 + }, + { + "epoch": 0.8888348924796501, + "grad_norm": 0.6533125042915344, + "learning_rate": 8e-05, + "loss": 1.681, + "step": 1829 + }, + { + "epoch": 0.8893208601627992, + "grad_norm": 0.6852530241012573, + "learning_rate": 8e-05, + "loss": 1.7522, + "step": 1830 + }, + { + "epoch": 0.8898068278459482, + "grad_norm": 0.7191981077194214, + "learning_rate": 8e-05, + "loss": 1.7699, + "step": 1831 + }, + { + "epoch": 0.8902927955290973, + "grad_norm": 0.6434154510498047, + "learning_rate": 8e-05, + "loss": 1.6594, + "step": 1832 + }, + { + "epoch": 0.8907787632122464, + "grad_norm": 0.6748992800712585, + "learning_rate": 8e-05, + "loss": 1.6795, + "step": 1833 + }, + { + "epoch": 0.8912647308953955, + "grad_norm": 0.6599833965301514, + "learning_rate": 8e-05, + "loss": 1.5998, + "step": 1834 + }, + { + "epoch": 0.8917506985785445, + "grad_norm": 0.699705183506012, + "learning_rate": 8e-05, + "loss": 1.5868, + "step": 1835 + }, + { + "epoch": 0.8922366662616936, + "grad_norm": 0.6916149854660034, + "learning_rate": 8e-05, + "loss": 1.7316, + "step": 1836 + }, + { + "epoch": 0.8927226339448426, + "grad_norm": 0.6622377038002014, + "learning_rate": 8e-05, + "loss": 1.6823, + "step": 1837 + }, + { + "epoch": 0.8932086016279918, + "grad_norm": 0.6920107007026672, + "learning_rate": 8e-05, + "loss": 1.6552, + "step": 1838 + }, + { + "epoch": 0.8936945693111408, + "grad_norm": 0.6712560653686523, + "learning_rate": 8e-05, + "loss": 1.75, + "step": 1839 + }, + { + "epoch": 0.8941805369942899, + "grad_norm": 0.6574907898902893, + "learning_rate": 8e-05, + "loss": 1.6023, + "step": 1840 + }, + { + "epoch": 0.8946665046774389, + "grad_norm": 0.6636672019958496, + "learning_rate": 8e-05, + "loss": 1.7248, + "step": 1841 + }, + { + "epoch": 0.895152472360588, + "grad_norm": 0.7205569744110107, + "learning_rate": 8e-05, + "loss": 1.7368, + "step": 1842 + }, + { + "epoch": 0.895638440043737, + "grad_norm": 0.6884496808052063, + "learning_rate": 8e-05, + "loss": 1.6167, + "step": 1843 + }, + { + "epoch": 0.8961244077268862, + "grad_norm": 0.6836435198783875, + "learning_rate": 8e-05, + "loss": 1.7493, + "step": 1844 + }, + { + "epoch": 0.8966103754100352, + "grad_norm": 0.685732364654541, + "learning_rate": 8e-05, + "loss": 1.6886, + "step": 1845 + }, + { + "epoch": 0.8970963430931843, + "grad_norm": 0.6702524423599243, + "learning_rate": 8e-05, + "loss": 1.7277, + "step": 1846 + }, + { + "epoch": 0.8975823107763333, + "grad_norm": 0.6741942167282104, + "learning_rate": 8e-05, + "loss": 1.6611, + "step": 1847 + }, + { + "epoch": 0.8980682784594824, + "grad_norm": 0.6792390942573547, + "learning_rate": 8e-05, + "loss": 1.6092, + "step": 1848 + }, + { + "epoch": 0.8985542461426315, + "grad_norm": 0.7039898037910461, + "learning_rate": 8e-05, + "loss": 1.7165, + "step": 1849 + }, + { + "epoch": 0.8990402138257806, + "grad_norm": 0.6669453978538513, + "learning_rate": 8e-05, + "loss": 1.6709, + "step": 1850 + }, + { + "epoch": 0.8995261815089296, + "grad_norm": 0.6652847528457642, + "learning_rate": 8e-05, + "loss": 1.659, + "step": 1851 + }, + { + "epoch": 0.9000121491920787, + "grad_norm": 0.6428386569023132, + "learning_rate": 8e-05, + "loss": 1.5768, + "step": 1852 + }, + { + "epoch": 0.9004981168752278, + "grad_norm": 0.6929381489753723, + "learning_rate": 8e-05, + "loss": 1.6371, + "step": 1853 + }, + { + "epoch": 0.9009840845583769, + "grad_norm": 0.6701197028160095, + "learning_rate": 8e-05, + "loss": 1.7295, + "step": 1854 + }, + { + "epoch": 0.901470052241526, + "grad_norm": 0.691456139087677, + "learning_rate": 8e-05, + "loss": 1.7385, + "step": 1855 + }, + { + "epoch": 0.901956019924675, + "grad_norm": 0.6817391514778137, + "learning_rate": 8e-05, + "loss": 1.7548, + "step": 1856 + }, + { + "epoch": 0.9024419876078241, + "grad_norm": 0.681011438369751, + "learning_rate": 8e-05, + "loss": 1.6919, + "step": 1857 + }, + { + "epoch": 0.9029279552909731, + "grad_norm": 0.6870824694633484, + "learning_rate": 8e-05, + "loss": 1.7447, + "step": 1858 + }, + { + "epoch": 0.9034139229741223, + "grad_norm": 0.6770219206809998, + "learning_rate": 8e-05, + "loss": 1.6821, + "step": 1859 + }, + { + "epoch": 0.9038998906572713, + "grad_norm": 0.6652222871780396, + "learning_rate": 8e-05, + "loss": 1.6341, + "step": 1860 + }, + { + "epoch": 0.9043858583404204, + "grad_norm": 0.6655253767967224, + "learning_rate": 8e-05, + "loss": 1.6195, + "step": 1861 + }, + { + "epoch": 0.9048718260235694, + "grad_norm": 0.6936423182487488, + "learning_rate": 8e-05, + "loss": 1.7935, + "step": 1862 + }, + { + "epoch": 0.9053577937067185, + "grad_norm": 0.6778640747070312, + "learning_rate": 8e-05, + "loss": 1.7443, + "step": 1863 + }, + { + "epoch": 0.9058437613898676, + "grad_norm": 0.6915225386619568, + "learning_rate": 8e-05, + "loss": 1.7808, + "step": 1864 + }, + { + "epoch": 0.9063297290730167, + "grad_norm": 0.7043119668960571, + "learning_rate": 8e-05, + "loss": 1.7587, + "step": 1865 + }, + { + "epoch": 0.9068156967561657, + "grad_norm": 0.6860661506652832, + "learning_rate": 8e-05, + "loss": 1.6495, + "step": 1866 + }, + { + "epoch": 0.9073016644393148, + "grad_norm": 0.6997127532958984, + "learning_rate": 8e-05, + "loss": 1.7134, + "step": 1867 + }, + { + "epoch": 0.9077876321224638, + "grad_norm": 0.7089009881019592, + "learning_rate": 8e-05, + "loss": 1.7566, + "step": 1868 + }, + { + "epoch": 0.908273599805613, + "grad_norm": 0.7275925278663635, + "learning_rate": 8e-05, + "loss": 1.7301, + "step": 1869 + }, + { + "epoch": 0.908759567488762, + "grad_norm": 0.6632089018821716, + "learning_rate": 8e-05, + "loss": 1.6667, + "step": 1870 + }, + { + "epoch": 0.9092455351719111, + "grad_norm": 0.7107716798782349, + "learning_rate": 8e-05, + "loss": 1.6661, + "step": 1871 + }, + { + "epoch": 0.9097315028550601, + "grad_norm": 0.6700002551078796, + "learning_rate": 8e-05, + "loss": 1.653, + "step": 1872 + }, + { + "epoch": 0.9102174705382092, + "grad_norm": 0.6595785617828369, + "learning_rate": 8e-05, + "loss": 1.6834, + "step": 1873 + }, + { + "epoch": 0.9107034382213582, + "grad_norm": 0.6953185200691223, + "learning_rate": 8e-05, + "loss": 1.7588, + "step": 1874 + }, + { + "epoch": 0.9111894059045074, + "grad_norm": 0.7098914384841919, + "learning_rate": 8e-05, + "loss": 1.7344, + "step": 1875 + }, + { + "epoch": 0.9116753735876564, + "grad_norm": 0.6820032000541687, + "learning_rate": 8e-05, + "loss": 1.7254, + "step": 1876 + }, + { + "epoch": 0.9121613412708055, + "grad_norm": 0.6732338666915894, + "learning_rate": 8e-05, + "loss": 1.752, + "step": 1877 + }, + { + "epoch": 0.9126473089539545, + "grad_norm": 0.6845636963844299, + "learning_rate": 8e-05, + "loss": 1.8333, + "step": 1878 + }, + { + "epoch": 0.9131332766371036, + "grad_norm": 0.6543975472450256, + "learning_rate": 8e-05, + "loss": 1.6452, + "step": 1879 + }, + { + "epoch": 0.9136192443202527, + "grad_norm": 0.7024291157722473, + "learning_rate": 8e-05, + "loss": 1.6514, + "step": 1880 + }, + { + "epoch": 0.9141052120034018, + "grad_norm": 0.6852805018424988, + "learning_rate": 8e-05, + "loss": 1.7149, + "step": 1881 + }, + { + "epoch": 0.9145911796865508, + "grad_norm": 0.6897751092910767, + "learning_rate": 8e-05, + "loss": 1.6209, + "step": 1882 + }, + { + "epoch": 0.9150771473696999, + "grad_norm": 0.6961401104927063, + "learning_rate": 8e-05, + "loss": 1.7422, + "step": 1883 + }, + { + "epoch": 0.9155631150528489, + "grad_norm": 0.7274015545845032, + "learning_rate": 8e-05, + "loss": 1.7239, + "step": 1884 + }, + { + "epoch": 0.916049082735998, + "grad_norm": 0.6880594491958618, + "learning_rate": 8e-05, + "loss": 1.722, + "step": 1885 + }, + { + "epoch": 0.9165350504191472, + "grad_norm": 0.6525025963783264, + "learning_rate": 8e-05, + "loss": 1.5735, + "step": 1886 + }, + { + "epoch": 0.9170210181022962, + "grad_norm": 0.704132080078125, + "learning_rate": 8e-05, + "loss": 1.6057, + "step": 1887 + }, + { + "epoch": 0.9175069857854453, + "grad_norm": 0.6710562109947205, + "learning_rate": 8e-05, + "loss": 1.7014, + "step": 1888 + }, + { + "epoch": 0.9179929534685943, + "grad_norm": 0.6694965362548828, + "learning_rate": 8e-05, + "loss": 1.6529, + "step": 1889 + }, + { + "epoch": 0.9184789211517435, + "grad_norm": 0.6747124791145325, + "learning_rate": 8e-05, + "loss": 1.7293, + "step": 1890 + }, + { + "epoch": 0.9189648888348925, + "grad_norm": 0.6903659105300903, + "learning_rate": 8e-05, + "loss": 1.7617, + "step": 1891 + }, + { + "epoch": 0.9194508565180416, + "grad_norm": 0.6632493138313293, + "learning_rate": 8e-05, + "loss": 1.621, + "step": 1892 + }, + { + "epoch": 0.9199368242011906, + "grad_norm": 0.6672336459159851, + "learning_rate": 8e-05, + "loss": 1.6254, + "step": 1893 + }, + { + "epoch": 0.9204227918843397, + "grad_norm": 0.668280839920044, + "learning_rate": 8e-05, + "loss": 1.6998, + "step": 1894 + }, + { + "epoch": 0.9209087595674887, + "grad_norm": 0.6913830637931824, + "learning_rate": 8e-05, + "loss": 1.6751, + "step": 1895 + }, + { + "epoch": 0.9213947272506379, + "grad_norm": 0.6648537516593933, + "learning_rate": 8e-05, + "loss": 1.6817, + "step": 1896 + }, + { + "epoch": 0.9218806949337869, + "grad_norm": 0.7031324505805969, + "learning_rate": 8e-05, + "loss": 1.8166, + "step": 1897 + }, + { + "epoch": 0.922366662616936, + "grad_norm": 0.6807796359062195, + "learning_rate": 8e-05, + "loss": 1.7041, + "step": 1898 + }, + { + "epoch": 0.922852630300085, + "grad_norm": 0.6511052250862122, + "learning_rate": 8e-05, + "loss": 1.694, + "step": 1899 + }, + { + "epoch": 0.9233385979832341, + "grad_norm": 0.6683751940727234, + "learning_rate": 8e-05, + "loss": 1.7229, + "step": 1900 + }, + { + "epoch": 0.9238245656663832, + "grad_norm": 0.6733470559120178, + "learning_rate": 8e-05, + "loss": 1.741, + "step": 1901 + }, + { + "epoch": 0.9243105333495323, + "grad_norm": 0.6818079948425293, + "learning_rate": 8e-05, + "loss": 1.7791, + "step": 1902 + }, + { + "epoch": 0.9247965010326813, + "grad_norm": 0.6888931393623352, + "learning_rate": 8e-05, + "loss": 1.7789, + "step": 1903 + }, + { + "epoch": 0.9252824687158304, + "grad_norm": 0.6756711006164551, + "learning_rate": 8e-05, + "loss": 1.6754, + "step": 1904 + }, + { + "epoch": 0.9257684363989794, + "grad_norm": 0.6731768846511841, + "learning_rate": 8e-05, + "loss": 1.7241, + "step": 1905 + }, + { + "epoch": 0.9262544040821286, + "grad_norm": 0.6658243536949158, + "learning_rate": 8e-05, + "loss": 1.7372, + "step": 1906 + }, + { + "epoch": 0.9267403717652776, + "grad_norm": 0.6529601812362671, + "learning_rate": 8e-05, + "loss": 1.6711, + "step": 1907 + }, + { + "epoch": 0.9272263394484267, + "grad_norm": 0.6861560344696045, + "learning_rate": 8e-05, + "loss": 1.669, + "step": 1908 + }, + { + "epoch": 0.9277123071315757, + "grad_norm": 0.6518715620040894, + "learning_rate": 8e-05, + "loss": 1.5744, + "step": 1909 + }, + { + "epoch": 0.9281982748147248, + "grad_norm": 0.6419810652732849, + "learning_rate": 8e-05, + "loss": 1.6217, + "step": 1910 + }, + { + "epoch": 0.9286842424978738, + "grad_norm": 0.6589051485061646, + "learning_rate": 8e-05, + "loss": 1.67, + "step": 1911 + }, + { + "epoch": 0.929170210181023, + "grad_norm": 0.8275018334388733, + "learning_rate": 8e-05, + "loss": 1.7264, + "step": 1912 + }, + { + "epoch": 0.929656177864172, + "grad_norm": 0.6712974309921265, + "learning_rate": 8e-05, + "loss": 1.6506, + "step": 1913 + }, + { + "epoch": 0.9301421455473211, + "grad_norm": 0.6550801396369934, + "learning_rate": 8e-05, + "loss": 1.6848, + "step": 1914 + }, + { + "epoch": 0.9306281132304701, + "grad_norm": 0.6738362908363342, + "learning_rate": 8e-05, + "loss": 1.6446, + "step": 1915 + }, + { + "epoch": 0.9311140809136192, + "grad_norm": 0.6732152104377747, + "learning_rate": 8e-05, + "loss": 1.6632, + "step": 1916 + }, + { + "epoch": 0.9316000485967683, + "grad_norm": 0.6406624913215637, + "learning_rate": 8e-05, + "loss": 1.5793, + "step": 1917 + }, + { + "epoch": 0.9320860162799174, + "grad_norm": 0.6931325197219849, + "learning_rate": 8e-05, + "loss": 1.7022, + "step": 1918 + }, + { + "epoch": 0.9325719839630665, + "grad_norm": 0.6737642288208008, + "learning_rate": 8e-05, + "loss": 1.6845, + "step": 1919 + }, + { + "epoch": 0.9330579516462155, + "grad_norm": 0.6730310320854187, + "learning_rate": 8e-05, + "loss": 1.7769, + "step": 1920 + }, + { + "epoch": 0.9335439193293646, + "grad_norm": 0.6703587174415588, + "learning_rate": 8e-05, + "loss": 1.6726, + "step": 1921 + }, + { + "epoch": 0.9340298870125137, + "grad_norm": 0.6555189490318298, + "learning_rate": 8e-05, + "loss": 1.5739, + "step": 1922 + }, + { + "epoch": 0.9345158546956628, + "grad_norm": 0.6777920126914978, + "learning_rate": 8e-05, + "loss": 1.713, + "step": 1923 + }, + { + "epoch": 0.9350018223788118, + "grad_norm": 0.6492234468460083, + "learning_rate": 8e-05, + "loss": 1.6029, + "step": 1924 + }, + { + "epoch": 0.9354877900619609, + "grad_norm": 0.7048563957214355, + "learning_rate": 8e-05, + "loss": 1.8503, + "step": 1925 + }, + { + "epoch": 0.9359737577451099, + "grad_norm": 81.88847351074219, + "learning_rate": 8e-05, + "loss": 2.8225, + "step": 1926 + }, + { + "epoch": 0.9364597254282591, + "grad_norm": 0.6970681548118591, + "learning_rate": 8e-05, + "loss": 1.6511, + "step": 1927 + }, + { + "epoch": 0.9369456931114081, + "grad_norm": 1.0791670083999634, + "learning_rate": 8e-05, + "loss": 1.6184, + "step": 1928 + }, + { + "epoch": 0.9374316607945572, + "grad_norm": 0.6755528450012207, + "learning_rate": 8e-05, + "loss": 1.7592, + "step": 1929 + }, + { + "epoch": 0.9379176284777062, + "grad_norm": 0.694639265537262, + "learning_rate": 8e-05, + "loss": 1.699, + "step": 1930 + }, + { + "epoch": 0.9384035961608553, + "grad_norm": 0.6953614354133606, + "learning_rate": 8e-05, + "loss": 1.7019, + "step": 1931 + }, + { + "epoch": 0.9388895638440043, + "grad_norm": 0.6991117000579834, + "learning_rate": 8e-05, + "loss": 1.8366, + "step": 1932 + }, + { + "epoch": 0.9393755315271535, + "grad_norm": 0.7080687880516052, + "learning_rate": 8e-05, + "loss": 1.7688, + "step": 1933 + }, + { + "epoch": 0.9398614992103025, + "grad_norm": 0.6987957954406738, + "learning_rate": 8e-05, + "loss": 1.8652, + "step": 1934 + }, + { + "epoch": 0.9403474668934516, + "grad_norm": 0.6736930012702942, + "learning_rate": 8e-05, + "loss": 1.6071, + "step": 1935 + }, + { + "epoch": 0.9408334345766006, + "grad_norm": 0.6800463199615479, + "learning_rate": 8e-05, + "loss": 1.6788, + "step": 1936 + }, + { + "epoch": 0.9413194022597497, + "grad_norm": 0.681482195854187, + "learning_rate": 8e-05, + "loss": 1.6952, + "step": 1937 + }, + { + "epoch": 0.9418053699428988, + "grad_norm": 0.6519253849983215, + "learning_rate": 8e-05, + "loss": 1.7476, + "step": 1938 + }, + { + "epoch": 0.9422913376260479, + "grad_norm": 0.6812343597412109, + "learning_rate": 8e-05, + "loss": 1.6996, + "step": 1939 + }, + { + "epoch": 0.9427773053091969, + "grad_norm": 0.6913323402404785, + "learning_rate": 8e-05, + "loss": 1.8085, + "step": 1940 + }, + { + "epoch": 0.943263272992346, + "grad_norm": 0.6806484460830688, + "learning_rate": 8e-05, + "loss": 1.6121, + "step": 1941 + }, + { + "epoch": 0.943749240675495, + "grad_norm": 0.6447448134422302, + "learning_rate": 8e-05, + "loss": 1.5757, + "step": 1942 + }, + { + "epoch": 0.9442352083586442, + "grad_norm": 0.7153680920600891, + "learning_rate": 8e-05, + "loss": 1.684, + "step": 1943 + }, + { + "epoch": 0.9447211760417932, + "grad_norm": 565.7562866210938, + "learning_rate": 8e-05, + "loss": 2.1396, + "step": 1944 + }, + { + "epoch": 0.9452071437249423, + "grad_norm": 0.8228261470794678, + "learning_rate": 8e-05, + "loss": 1.7833, + "step": 1945 + }, + { + "epoch": 0.9456931114080913, + "grad_norm": 0.6688120365142822, + "learning_rate": 8e-05, + "loss": 1.652, + "step": 1946 + }, + { + "epoch": 0.9461790790912404, + "grad_norm": 0.6694374084472656, + "learning_rate": 8e-05, + "loss": 1.6227, + "step": 1947 + }, + { + "epoch": 0.9466650467743895, + "grad_norm": 0.6642143130302429, + "learning_rate": 8e-05, + "loss": 1.6887, + "step": 1948 + }, + { + "epoch": 0.9471510144575386, + "grad_norm": 0.7073469161987305, + "learning_rate": 8e-05, + "loss": 1.6873, + "step": 1949 + }, + { + "epoch": 0.9476369821406876, + "grad_norm": 0.6868941783905029, + "learning_rate": 8e-05, + "loss": 1.6839, + "step": 1950 + }, + { + "epoch": 0.9481229498238367, + "grad_norm": 1.081831932067871, + "learning_rate": 8e-05, + "loss": 1.621, + "step": 1951 + }, + { + "epoch": 0.9486089175069858, + "grad_norm": 0.6740509867668152, + "learning_rate": 8e-05, + "loss": 1.6968, + "step": 1952 + }, + { + "epoch": 0.9490948851901349, + "grad_norm": 0.6448697447776794, + "learning_rate": 8e-05, + "loss": 1.6187, + "step": 1953 + }, + { + "epoch": 0.949580852873284, + "grad_norm": 0.7188392877578735, + "learning_rate": 8e-05, + "loss": 1.6475, + "step": 1954 + }, + { + "epoch": 0.950066820556433, + "grad_norm": 0.6668784618377686, + "learning_rate": 8e-05, + "loss": 1.7158, + "step": 1955 + }, + { + "epoch": 0.9505527882395821, + "grad_norm": 0.723740816116333, + "learning_rate": 8e-05, + "loss": 1.7552, + "step": 1956 + }, + { + "epoch": 0.9510387559227311, + "grad_norm": 0.7027231454849243, + "learning_rate": 8e-05, + "loss": 1.7371, + "step": 1957 + }, + { + "epoch": 0.9515247236058803, + "grad_norm": 0.6790149211883545, + "learning_rate": 8e-05, + "loss": 1.6464, + "step": 1958 + }, + { + "epoch": 0.9520106912890293, + "grad_norm": 0.6989905834197998, + "learning_rate": 8e-05, + "loss": 1.7027, + "step": 1959 + }, + { + "epoch": 0.9524966589721784, + "grad_norm": 0.6942729949951172, + "learning_rate": 8e-05, + "loss": 1.6516, + "step": 1960 + }, + { + "epoch": 0.9529826266553274, + "grad_norm": 0.6786219477653503, + "learning_rate": 8e-05, + "loss": 1.6126, + "step": 1961 + }, + { + "epoch": 0.9534685943384765, + "grad_norm": 0.6560273170471191, + "learning_rate": 8e-05, + "loss": 1.5823, + "step": 1962 + }, + { + "epoch": 0.9539545620216255, + "grad_norm": 1.008255124092102, + "learning_rate": 8e-05, + "loss": 1.654, + "step": 1963 + }, + { + "epoch": 0.9544405297047747, + "grad_norm": 0.6998074650764465, + "learning_rate": 8e-05, + "loss": 1.6973, + "step": 1964 + }, + { + "epoch": 0.9549264973879237, + "grad_norm": 0.6675659418106079, + "learning_rate": 8e-05, + "loss": 1.6714, + "step": 1965 + }, + { + "epoch": 0.9554124650710728, + "grad_norm": 0.6875411868095398, + "learning_rate": 8e-05, + "loss": 1.6627, + "step": 1966 + }, + { + "epoch": 0.9558984327542218, + "grad_norm": 0.6995173096656799, + "learning_rate": 8e-05, + "loss": 1.7797, + "step": 1967 + }, + { + "epoch": 0.9563844004373709, + "grad_norm": 0.6697837114334106, + "learning_rate": 8e-05, + "loss": 1.6375, + "step": 1968 + }, + { + "epoch": 0.95687036812052, + "grad_norm": 0.6798880696296692, + "learning_rate": 8e-05, + "loss": 1.5995, + "step": 1969 + }, + { + "epoch": 0.9573563358036691, + "grad_norm": 0.6646199822425842, + "learning_rate": 8e-05, + "loss": 1.6801, + "step": 1970 + }, + { + "epoch": 0.9578423034868181, + "grad_norm": 0.6851860284805298, + "learning_rate": 8e-05, + "loss": 1.7365, + "step": 1971 + }, + { + "epoch": 0.9583282711699672, + "grad_norm": 0.6854037642478943, + "learning_rate": 8e-05, + "loss": 1.6446, + "step": 1972 + }, + { + "epoch": 0.9588142388531162, + "grad_norm": 0.7328615188598633, + "learning_rate": 8e-05, + "loss": 1.7077, + "step": 1973 + }, + { + "epoch": 0.9593002065362654, + "grad_norm": 0.6889229416847229, + "learning_rate": 8e-05, + "loss": 1.8134, + "step": 1974 + }, + { + "epoch": 0.9597861742194144, + "grad_norm": 0.6959888339042664, + "learning_rate": 8e-05, + "loss": 1.731, + "step": 1975 + }, + { + "epoch": 0.9602721419025635, + "grad_norm": 0.6775850057601929, + "learning_rate": 8e-05, + "loss": 1.6377, + "step": 1976 + }, + { + "epoch": 0.9607581095857125, + "grad_norm": 0.6867715716362, + "learning_rate": 8e-05, + "loss": 1.6263, + "step": 1977 + }, + { + "epoch": 0.9612440772688616, + "grad_norm": 0.6628663539886475, + "learning_rate": 8e-05, + "loss": 1.679, + "step": 1978 + }, + { + "epoch": 0.9617300449520106, + "grad_norm": 0.7282610535621643, + "learning_rate": 8e-05, + "loss": 1.6856, + "step": 1979 + }, + { + "epoch": 0.9622160126351598, + "grad_norm": 0.6672433614730835, + "learning_rate": 8e-05, + "loss": 1.6807, + "step": 1980 + }, + { + "epoch": 0.9627019803183088, + "grad_norm": 0.687490701675415, + "learning_rate": 8e-05, + "loss": 1.7556, + "step": 1981 + }, + { + "epoch": 0.9631879480014579, + "grad_norm": 0.6436827182769775, + "learning_rate": 8e-05, + "loss": 1.6022, + "step": 1982 + }, + { + "epoch": 0.9636739156846069, + "grad_norm": 0.7169700264930725, + "learning_rate": 8e-05, + "loss": 1.6667, + "step": 1983 + }, + { + "epoch": 0.964159883367756, + "grad_norm": 0.6826598048210144, + "learning_rate": 8e-05, + "loss": 1.6769, + "step": 1984 + }, + { + "epoch": 0.9646458510509052, + "grad_norm": 0.6779286861419678, + "learning_rate": 8e-05, + "loss": 1.6673, + "step": 1985 + }, + { + "epoch": 0.9651318187340542, + "grad_norm": 0.7093191742897034, + "learning_rate": 8e-05, + "loss": 1.7826, + "step": 1986 + }, + { + "epoch": 0.9656177864172033, + "grad_norm": 0.7144518494606018, + "learning_rate": 8e-05, + "loss": 1.8025, + "step": 1987 + }, + { + "epoch": 0.9661037541003523, + "grad_norm": 0.6522985696792603, + "learning_rate": 8e-05, + "loss": 1.6384, + "step": 1988 + }, + { + "epoch": 0.9665897217835014, + "grad_norm": 1.0146836042404175, + "learning_rate": 8e-05, + "loss": 1.6507, + "step": 1989 + }, + { + "epoch": 0.9670756894666505, + "grad_norm": 0.9237478971481323, + "learning_rate": 8e-05, + "loss": 1.7586, + "step": 1990 + }, + { + "epoch": 0.9675616571497996, + "grad_norm": 0.7173764109611511, + "learning_rate": 8e-05, + "loss": 1.7062, + "step": 1991 + }, + { + "epoch": 0.9680476248329486, + "grad_norm": 0.9615936875343323, + "learning_rate": 8e-05, + "loss": 1.6762, + "step": 1992 + }, + { + "epoch": 0.9685335925160977, + "grad_norm": 0.8683964014053345, + "learning_rate": 8e-05, + "loss": 1.5157, + "step": 1993 + }, + { + "epoch": 0.9690195601992467, + "grad_norm": 2.1727890968322754, + "learning_rate": 8e-05, + "loss": 1.7305, + "step": 1994 + }, + { + "epoch": 0.9695055278823959, + "grad_norm": 1.005670189857483, + "learning_rate": 8e-05, + "loss": 1.646, + "step": 1995 + }, + { + "epoch": 0.9699914955655449, + "grad_norm": 1.1713099479675293, + "learning_rate": 8e-05, + "loss": 1.6862, + "step": 1996 + }, + { + "epoch": 0.970477463248694, + "grad_norm": 0.7767489552497864, + "learning_rate": 8e-05, + "loss": 1.6026, + "step": 1997 + }, + { + "epoch": 0.970963430931843, + "grad_norm": 2.5601918697357178, + "learning_rate": 8e-05, + "loss": 1.7123, + "step": 1998 + }, + { + "epoch": 0.9714493986149921, + "grad_norm": 0.8085450530052185, + "learning_rate": 8e-05, + "loss": 1.6387, + "step": 1999 + }, + { + "epoch": 0.9719353662981411, + "grad_norm": 0.7340285181999207, + "learning_rate": 8e-05, + "loss": 1.7505, + "step": 2000 + } + ], + "logging_steps": 1, + "max_steps": 4114, + "num_input_tokens_seen": 0, + "num_train_epochs": 2, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 7.62503126581248e+18, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}