diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,9471 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.9941650458460685, + "eval_steps": 500, + "global_step": 1347, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0022228396776882466, + "grad_norm": 0.31254997849464417, + "learning_rate": 2.2222222222222223e-05, + "loss": 1.8161, + "step": 1 + }, + { + "epoch": 0.004445679355376493, + "grad_norm": 0.3643212616443634, + "learning_rate": 4.4444444444444447e-05, + "loss": 1.8137, + "step": 2 + }, + { + "epoch": 0.0066685190330647405, + "grad_norm": 0.3575803339481354, + "learning_rate": 6.666666666666667e-05, + "loss": 1.7748, + "step": 3 + }, + { + "epoch": 0.008891358710752986, + "grad_norm": 0.31876519322395325, + "learning_rate": 8.888888888888889e-05, + "loss": 1.7532, + "step": 4 + }, + { + "epoch": 0.011114198388441235, + "grad_norm": 0.3756287693977356, + "learning_rate": 0.0001111111111111111, + "loss": 1.7228, + "step": 5 + }, + { + "epoch": 0.013337038066129481, + "grad_norm": 0.39089882373809814, + "learning_rate": 0.00013333333333333334, + "loss": 2.0789, + "step": 6 + }, + { + "epoch": 0.015559877743817728, + "grad_norm": 0.3725750148296356, + "learning_rate": 0.00015555555555555556, + "loss": 1.71, + "step": 7 + }, + { + "epoch": 0.017782717421505972, + "grad_norm": 0.3968382179737091, + "learning_rate": 0.00017777777777777779, + "loss": 1.8689, + "step": 8 + }, + { + "epoch": 0.02000555709919422, + "grad_norm": 0.3096616566181183, + "learning_rate": 0.0002, + "loss": 1.9166, + "step": 9 + }, + { + "epoch": 0.02222839677688247, + "grad_norm": 0.40228065848350525, + "learning_rate": 0.0002222222222222222, + "loss": 1.7125, + "step": 10 + }, + { + "epoch": 0.024451236454570716, + "grad_norm": 0.3223334848880768, + "learning_rate": 0.0002444444444444445, + "loss": 1.929, + "step": 11 + }, + { + "epoch": 0.026674076132258962, + "grad_norm": 0.28250545263290405, + "learning_rate": 0.0002666666666666667, + "loss": 1.6014, + "step": 12 + }, + { + "epoch": 0.02889691580994721, + "grad_norm": 0.3532133400440216, + "learning_rate": 0.0002888888888888889, + "loss": 1.8351, + "step": 13 + }, + { + "epoch": 0.031119755487635455, + "grad_norm": 0.28702786564826965, + "learning_rate": 0.0003111111111111111, + "loss": 1.7652, + "step": 14 + }, + { + "epoch": 0.0333425951653237, + "grad_norm": 0.30105912685394287, + "learning_rate": 0.0003333333333333333, + "loss": 1.6464, + "step": 15 + }, + { + "epoch": 0.035565434843011945, + "grad_norm": 0.2549647092819214, + "learning_rate": 0.00035555555555555557, + "loss": 1.7022, + "step": 16 + }, + { + "epoch": 0.037788274520700195, + "grad_norm": 0.280660480260849, + "learning_rate": 0.00037777777777777777, + "loss": 1.7242, + "step": 17 + }, + { + "epoch": 0.04001111419838844, + "grad_norm": 0.3075920641422272, + "learning_rate": 0.0004, + "loss": 1.5918, + "step": 18 + }, + { + "epoch": 0.04223395387607669, + "grad_norm": 0.2627553939819336, + "learning_rate": 0.00042222222222222227, + "loss": 1.6612, + "step": 19 + }, + { + "epoch": 0.04445679355376494, + "grad_norm": 0.24408374726772308, + "learning_rate": 0.0004444444444444444, + "loss": 1.7682, + "step": 20 + }, + { + "epoch": 0.04667963323145318, + "grad_norm": 0.27137765288352966, + "learning_rate": 0.00046666666666666666, + "loss": 1.6334, + "step": 21 + }, + { + "epoch": 0.04890247290914143, + "grad_norm": 0.25347405672073364, + "learning_rate": 0.000488888888888889, + "loss": 1.8713, + "step": 22 + }, + { + "epoch": 0.051125312586829674, + "grad_norm": 0.21500591933727264, + "learning_rate": 0.0005111111111111112, + "loss": 1.637, + "step": 23 + }, + { + "epoch": 0.053348152264517924, + "grad_norm": 0.23220418393611908, + "learning_rate": 0.0005333333333333334, + "loss": 1.6928, + "step": 24 + }, + { + "epoch": 0.05557099194220617, + "grad_norm": 0.21109041571617126, + "learning_rate": 0.0005555555555555556, + "loss": 1.5009, + "step": 25 + }, + { + "epoch": 0.05779383161989442, + "grad_norm": 0.19518163800239563, + "learning_rate": 0.0005777777777777778, + "loss": 1.5758, + "step": 26 + }, + { + "epoch": 0.06001667129758266, + "grad_norm": 0.19399304687976837, + "learning_rate": 0.0006000000000000001, + "loss": 1.6354, + "step": 27 + }, + { + "epoch": 0.06223951097527091, + "grad_norm": 0.2238541692495346, + "learning_rate": 0.0006222222222222223, + "loss": 1.4809, + "step": 28 + }, + { + "epoch": 0.06446235065295916, + "grad_norm": 0.17391888797283173, + "learning_rate": 0.0006444444444444444, + "loss": 1.3821, + "step": 29 + }, + { + "epoch": 0.0666851903306474, + "grad_norm": 0.17666837573051453, + "learning_rate": 0.0006666666666666666, + "loss": 1.3057, + "step": 30 + }, + { + "epoch": 0.06890803000833565, + "grad_norm": 0.19777463376522064, + "learning_rate": 0.000688888888888889, + "loss": 1.617, + "step": 31 + }, + { + "epoch": 0.07113086968602389, + "grad_norm": 0.16105899214744568, + "learning_rate": 0.0007111111111111111, + "loss": 1.5269, + "step": 32 + }, + { + "epoch": 0.07335370936371215, + "grad_norm": 0.17360083758831024, + "learning_rate": 0.0007333333333333333, + "loss": 1.4468, + "step": 33 + }, + { + "epoch": 0.07557654904140039, + "grad_norm": 0.1594723016023636, + "learning_rate": 0.0007555555555555555, + "loss": 1.4326, + "step": 34 + }, + { + "epoch": 0.07779938871908863, + "grad_norm": 0.1737031638622284, + "learning_rate": 0.0007777777777777777, + "loss": 1.405, + "step": 35 + }, + { + "epoch": 0.08002222839677688, + "grad_norm": 0.1713709533214569, + "learning_rate": 0.0008, + "loss": 1.1766, + "step": 36 + }, + { + "epoch": 0.08224506807446513, + "grad_norm": 0.1633702665567398, + "learning_rate": 0.0008222222222222222, + "loss": 1.3118, + "step": 37 + }, + { + "epoch": 0.08446790775215338, + "grad_norm": 0.17267894744873047, + "learning_rate": 0.0008444444444444445, + "loss": 1.3091, + "step": 38 + }, + { + "epoch": 0.08669074742984162, + "grad_norm": 0.14479492604732513, + "learning_rate": 0.0008666666666666666, + "loss": 1.378, + "step": 39 + }, + { + "epoch": 0.08891358710752988, + "grad_norm": 0.13730104267597198, + "learning_rate": 0.0008888888888888888, + "loss": 1.244, + "step": 40 + }, + { + "epoch": 0.09113642678521812, + "grad_norm": 0.17174997925758362, + "learning_rate": 0.0009111111111111111, + "loss": 1.3365, + "step": 41 + }, + { + "epoch": 0.09335926646290636, + "grad_norm": 0.13429133594036102, + "learning_rate": 0.0009333333333333333, + "loss": 1.0797, + "step": 42 + }, + { + "epoch": 0.0955821061405946, + "grad_norm": 0.1332227885723114, + "learning_rate": 0.0009555555555555556, + "loss": 1.3447, + "step": 43 + }, + { + "epoch": 0.09780494581828286, + "grad_norm": 0.10597763955593109, + "learning_rate": 0.000977777777777778, + "loss": 1.2595, + "step": 44 + }, + { + "epoch": 0.1000277854959711, + "grad_norm": 0.14317654073238373, + "learning_rate": 0.001, + "loss": 1.2789, + "step": 45 + }, + { + "epoch": 0.10225062517365935, + "grad_norm": 0.13641610741615295, + "learning_rate": 0.0010222222222222223, + "loss": 1.3444, + "step": 46 + }, + { + "epoch": 0.10447346485134759, + "grad_norm": 0.125591441988945, + "learning_rate": 0.0010444444444444444, + "loss": 1.1095, + "step": 47 + }, + { + "epoch": 0.10669630452903585, + "grad_norm": 0.14460553228855133, + "learning_rate": 0.0010666666666666667, + "loss": 1.2323, + "step": 48 + }, + { + "epoch": 0.10891914420672409, + "grad_norm": 0.12514247000217438, + "learning_rate": 0.001088888888888889, + "loss": 1.1664, + "step": 49 + }, + { + "epoch": 0.11114198388441233, + "grad_norm": 0.1322765350341797, + "learning_rate": 0.0011111111111111111, + "loss": 1.3675, + "step": 50 + }, + { + "epoch": 0.11336482356210058, + "grad_norm": 0.14224638044834137, + "learning_rate": 0.0011333333333333334, + "loss": 1.24, + "step": 51 + }, + { + "epoch": 0.11558766323978883, + "grad_norm": 0.11452258378267288, + "learning_rate": 0.0011555555555555555, + "loss": 1.3013, + "step": 52 + }, + { + "epoch": 0.11781050291747708, + "grad_norm": 0.1195889487862587, + "learning_rate": 0.0011777777777777778, + "loss": 1.1503, + "step": 53 + }, + { + "epoch": 0.12003334259516532, + "grad_norm": 0.1277323216199875, + "learning_rate": 0.0012000000000000001, + "loss": 1.1958, + "step": 54 + }, + { + "epoch": 0.12225618227285356, + "grad_norm": 0.09402500092983246, + "learning_rate": 0.0012222222222222222, + "loss": 0.9762, + "step": 55 + }, + { + "epoch": 0.12447902195054182, + "grad_norm": 0.10695713013410568, + "learning_rate": 0.0012444444444444445, + "loss": 1.1013, + "step": 56 + }, + { + "epoch": 0.12670186162823005, + "grad_norm": 0.10557325184345245, + "learning_rate": 0.0012666666666666666, + "loss": 1.0793, + "step": 57 + }, + { + "epoch": 0.12892470130591832, + "grad_norm": 0.12055651843547821, + "learning_rate": 0.001288888888888889, + "loss": 1.2221, + "step": 58 + }, + { + "epoch": 0.13114754098360656, + "grad_norm": 0.08459929376840591, + "learning_rate": 0.0013111111111111112, + "loss": 1.0976, + "step": 59 + }, + { + "epoch": 0.1333703806612948, + "grad_norm": 0.11813811212778091, + "learning_rate": 0.0013333333333333333, + "loss": 1.1168, + "step": 60 + }, + { + "epoch": 0.13559322033898305, + "grad_norm": 0.1075403243303299, + "learning_rate": 0.0013555555555555556, + "loss": 0.9292, + "step": 61 + }, + { + "epoch": 0.1378160600166713, + "grad_norm": 0.07610759884119034, + "learning_rate": 0.001377777777777778, + "loss": 1.0947, + "step": 62 + }, + { + "epoch": 0.14003889969435954, + "grad_norm": 0.09791035205125809, + "learning_rate": 0.0014, + "loss": 1.1571, + "step": 63 + }, + { + "epoch": 0.14226173937204778, + "grad_norm": 0.09495139867067337, + "learning_rate": 0.0014222222222222223, + "loss": 0.8295, + "step": 64 + }, + { + "epoch": 0.14448457904973605, + "grad_norm": 0.07287945598363876, + "learning_rate": 0.0014444444444444444, + "loss": 0.9453, + "step": 65 + }, + { + "epoch": 0.1467074187274243, + "grad_norm": 0.08833761513233185, + "learning_rate": 0.0014666666666666667, + "loss": 1.1003, + "step": 66 + }, + { + "epoch": 0.14893025840511254, + "grad_norm": 0.09454136341810226, + "learning_rate": 0.001488888888888889, + "loss": 1.1327, + "step": 67 + }, + { + "epoch": 0.15115309808280078, + "grad_norm": 0.09609611332416534, + "learning_rate": 0.001511111111111111, + "loss": 0.9176, + "step": 68 + }, + { + "epoch": 0.15337593776048902, + "grad_norm": 0.10027166455984116, + "learning_rate": 0.0015333333333333332, + "loss": 1.0967, + "step": 69 + }, + { + "epoch": 0.15559877743817727, + "grad_norm": 0.08003437519073486, + "learning_rate": 0.0015555555555555555, + "loss": 0.9908, + "step": 70 + }, + { + "epoch": 0.1578216171158655, + "grad_norm": 0.06798948347568512, + "learning_rate": 0.0015777777777777778, + "loss": 0.8607, + "step": 71 + }, + { + "epoch": 0.16004445679355375, + "grad_norm": 0.07019151747226715, + "learning_rate": 0.0016, + "loss": 0.9327, + "step": 72 + }, + { + "epoch": 0.16226729647124202, + "grad_norm": 0.09492333978414536, + "learning_rate": 0.0016222222222222222, + "loss": 0.8007, + "step": 73 + }, + { + "epoch": 0.16449013614893027, + "grad_norm": 0.06816477328538895, + "learning_rate": 0.0016444444444444445, + "loss": 0.8318, + "step": 74 + }, + { + "epoch": 0.1667129758266185, + "grad_norm": 0.05683727562427521, + "learning_rate": 0.0016666666666666668, + "loss": 0.816, + "step": 75 + }, + { + "epoch": 0.16893581550430675, + "grad_norm": 0.06219564750790596, + "learning_rate": 0.001688888888888889, + "loss": 0.8008, + "step": 76 + }, + { + "epoch": 0.171158655181995, + "grad_norm": 0.06426230072975159, + "learning_rate": 0.0017111111111111114, + "loss": 1.0033, + "step": 77 + }, + { + "epoch": 0.17338149485968324, + "grad_norm": 0.057185135781764984, + "learning_rate": 0.0017333333333333333, + "loss": 0.9249, + "step": 78 + }, + { + "epoch": 0.17560433453737148, + "grad_norm": 0.0551241934299469, + "learning_rate": 0.0017555555555555556, + "loss": 0.891, + "step": 79 + }, + { + "epoch": 0.17782717421505975, + "grad_norm": 0.05191711336374283, + "learning_rate": 0.0017777777777777776, + "loss": 0.9672, + "step": 80 + }, + { + "epoch": 0.180050013892748, + "grad_norm": 0.06342898309230804, + "learning_rate": 0.0018, + "loss": 0.9372, + "step": 81 + }, + { + "epoch": 0.18227285357043624, + "grad_norm": 0.05517818406224251, + "learning_rate": 0.0018222222222222223, + "loss": 0.8477, + "step": 82 + }, + { + "epoch": 0.18449569324812448, + "grad_norm": 0.058783963322639465, + "learning_rate": 0.0018444444444444446, + "loss": 1.0301, + "step": 83 + }, + { + "epoch": 0.18671853292581272, + "grad_norm": 0.05436277762055397, + "learning_rate": 0.0018666666666666666, + "loss": 0.8878, + "step": 84 + }, + { + "epoch": 0.18894137260350097, + "grad_norm": 0.041651614010334015, + "learning_rate": 0.001888888888888889, + "loss": 0.9357, + "step": 85 + }, + { + "epoch": 0.1911642122811892, + "grad_norm": 0.050092216581106186, + "learning_rate": 0.0019111111111111113, + "loss": 0.9938, + "step": 86 + }, + { + "epoch": 0.19338705195887745, + "grad_norm": 0.053640950471162796, + "learning_rate": 0.0019333333333333336, + "loss": 1.0159, + "step": 87 + }, + { + "epoch": 0.19560989163656572, + "grad_norm": 0.05056702345609665, + "learning_rate": 0.001955555555555556, + "loss": 0.9827, + "step": 88 + }, + { + "epoch": 0.19783273131425397, + "grad_norm": 0.04525972530245781, + "learning_rate": 0.0019777777777777775, + "loss": 0.7511, + "step": 89 + }, + { + "epoch": 0.2000555709919422, + "grad_norm": 0.04984632506966591, + "learning_rate": 0.002, + "loss": 0.8568, + "step": 90 + }, + { + "epoch": 0.20227841066963045, + "grad_norm": 0.04132724925875664, + "learning_rate": 0.002022222222222222, + "loss": 0.9806, + "step": 91 + }, + { + "epoch": 0.2045012503473187, + "grad_norm": 0.039617739617824554, + "learning_rate": 0.0020444444444444447, + "loss": 0.8346, + "step": 92 + }, + { + "epoch": 0.20672409002500694, + "grad_norm": 0.03755780681967735, + "learning_rate": 0.0020666666666666667, + "loss": 0.813, + "step": 93 + }, + { + "epoch": 0.20894692970269518, + "grad_norm": 0.038126129657030106, + "learning_rate": 0.002088888888888889, + "loss": 0.9437, + "step": 94 + }, + { + "epoch": 0.21116976938038343, + "grad_norm": 0.03865043818950653, + "learning_rate": 0.0021111111111111113, + "loss": 0.7994, + "step": 95 + }, + { + "epoch": 0.2133926090580717, + "grad_norm": 0.038602616637945175, + "learning_rate": 0.0021333333333333334, + "loss": 0.9596, + "step": 96 + }, + { + "epoch": 0.21561544873575994, + "grad_norm": 0.03432125225663185, + "learning_rate": 0.0021555555555555555, + "loss": 0.7337, + "step": 97 + }, + { + "epoch": 0.21783828841344818, + "grad_norm": 0.04551972821354866, + "learning_rate": 0.002177777777777778, + "loss": 0.9933, + "step": 98 + }, + { + "epoch": 0.22006112809113643, + "grad_norm": 0.03250821307301521, + "learning_rate": 0.0021999999999999997, + "loss": 0.8251, + "step": 99 + }, + { + "epoch": 0.22228396776882467, + "grad_norm": 0.03453311696648598, + "learning_rate": 0.0022222222222222222, + "loss": 0.8074, + "step": 100 + }, + { + "epoch": 0.2245068074465129, + "grad_norm": 0.041663624346256256, + "learning_rate": 0.0022444444444444443, + "loss": 0.7755, + "step": 101 + }, + { + "epoch": 0.22672964712420116, + "grad_norm": 0.035251155495643616, + "learning_rate": 0.002266666666666667, + "loss": 0.9015, + "step": 102 + }, + { + "epoch": 0.22895248680188943, + "grad_norm": 0.026816092431545258, + "learning_rate": 0.002288888888888889, + "loss": 0.6089, + "step": 103 + }, + { + "epoch": 0.23117532647957767, + "grad_norm": 0.025371363386511803, + "learning_rate": 0.002311111111111111, + "loss": 0.6579, + "step": 104 + }, + { + "epoch": 0.2333981661572659, + "grad_norm": 0.030030515044927597, + "learning_rate": 0.0023333333333333335, + "loss": 0.7587, + "step": 105 + }, + { + "epoch": 0.23562100583495416, + "grad_norm": 0.03042268380522728, + "learning_rate": 0.0023555555555555556, + "loss": 0.673, + "step": 106 + }, + { + "epoch": 0.2378438455126424, + "grad_norm": 0.03374524414539337, + "learning_rate": 0.002377777777777778, + "loss": 0.7638, + "step": 107 + }, + { + "epoch": 0.24006668519033064, + "grad_norm": 0.05823088809847832, + "learning_rate": 0.0024000000000000002, + "loss": 1.0445, + "step": 108 + }, + { + "epoch": 0.24228952486801889, + "grad_norm": 0.02552204020321369, + "learning_rate": 0.0024222222222222223, + "loss": 0.758, + "step": 109 + }, + { + "epoch": 0.24451236454570713, + "grad_norm": 0.030858848243951797, + "learning_rate": 0.0024444444444444444, + "loss": 0.8163, + "step": 110 + }, + { + "epoch": 0.2467352042233954, + "grad_norm": 0.030134430155158043, + "learning_rate": 0.0024666666666666665, + "loss": 0.8197, + "step": 111 + }, + { + "epoch": 0.24895804390108364, + "grad_norm": 0.03654756769537926, + "learning_rate": 0.002488888888888889, + "loss": 0.8028, + "step": 112 + }, + { + "epoch": 0.2511808835787719, + "grad_norm": 0.04132033884525299, + "learning_rate": 0.002511111111111111, + "loss": 0.8087, + "step": 113 + }, + { + "epoch": 0.2534037232564601, + "grad_norm": 0.02729404903948307, + "learning_rate": 0.002533333333333333, + "loss": 0.7327, + "step": 114 + }, + { + "epoch": 0.25562656293414837, + "grad_norm": 0.037324242293834686, + "learning_rate": 0.0025555555555555557, + "loss": 0.8203, + "step": 115 + }, + { + "epoch": 0.25784940261183664, + "grad_norm": 0.045340005308389664, + "learning_rate": 0.002577777777777778, + "loss": 1.1208, + "step": 116 + }, + { + "epoch": 0.26007224228952486, + "grad_norm": 0.03202158212661743, + "learning_rate": 0.0026000000000000003, + "loss": 0.7704, + "step": 117 + }, + { + "epoch": 0.26229508196721313, + "grad_norm": 0.031156064942479134, + "learning_rate": 0.0026222222222222224, + "loss": 0.6212, + "step": 118 + }, + { + "epoch": 0.26451792164490134, + "grad_norm": 0.0396842360496521, + "learning_rate": 0.0026444444444444445, + "loss": 0.8821, + "step": 119 + }, + { + "epoch": 0.2667407613225896, + "grad_norm": 0.024765778332948685, + "learning_rate": 0.0026666666666666666, + "loss": 0.7624, + "step": 120 + }, + { + "epoch": 0.26896360100027783, + "grad_norm": 0.0588197335600853, + "learning_rate": 0.0026888888888888887, + "loss": 0.7491, + "step": 121 + }, + { + "epoch": 0.2711864406779661, + "grad_norm": 0.04317701607942581, + "learning_rate": 0.002711111111111111, + "loss": 0.9822, + "step": 122 + }, + { + "epoch": 0.27340928035565437, + "grad_norm": 0.023474140092730522, + "learning_rate": 0.0027333333333333333, + "loss": 0.6543, + "step": 123 + }, + { + "epoch": 0.2756321200333426, + "grad_norm": 0.03395792841911316, + "learning_rate": 0.002755555555555556, + "loss": 0.9753, + "step": 124 + }, + { + "epoch": 0.27785495971103086, + "grad_norm": 0.03774833306670189, + "learning_rate": 0.002777777777777778, + "loss": 0.7568, + "step": 125 + }, + { + "epoch": 0.2800777993887191, + "grad_norm": 0.019662071019411087, + "learning_rate": 0.0028, + "loss": 0.683, + "step": 126 + }, + { + "epoch": 0.28230063906640734, + "grad_norm": 0.02699323743581772, + "learning_rate": 0.0028222222222222225, + "loss": 0.7626, + "step": 127 + }, + { + "epoch": 0.28452347874409556, + "grad_norm": 0.02954452484846115, + "learning_rate": 0.0028444444444444446, + "loss": 0.8323, + "step": 128 + }, + { + "epoch": 0.28674631842178383, + "grad_norm": 0.021271225064992905, + "learning_rate": 0.0028666666666666667, + "loss": 0.7864, + "step": 129 + }, + { + "epoch": 0.2889691580994721, + "grad_norm": 0.02944800816476345, + "learning_rate": 0.0028888888888888888, + "loss": 0.9257, + "step": 130 + }, + { + "epoch": 0.2911919977771603, + "grad_norm": 0.029844852164387703, + "learning_rate": 0.002911111111111111, + "loss": 0.7552, + "step": 131 + }, + { + "epoch": 0.2934148374548486, + "grad_norm": 0.023612311109900475, + "learning_rate": 0.0029333333333333334, + "loss": 0.6756, + "step": 132 + }, + { + "epoch": 0.2956376771325368, + "grad_norm": 0.017975427210330963, + "learning_rate": 0.0029555555555555555, + "loss": 0.7141, + "step": 133 + }, + { + "epoch": 0.2978605168102251, + "grad_norm": 0.038071002811193466, + "learning_rate": 0.002977777777777778, + "loss": 0.9247, + "step": 134 + }, + { + "epoch": 0.3000833564879133, + "grad_norm": 0.027641968801617622, + "learning_rate": 0.003, + "loss": 0.6383, + "step": 135 + }, + { + "epoch": 0.30230619616560156, + "grad_norm": 0.02428288944065571, + "learning_rate": 0.0029975247524752476, + "loss": 0.803, + "step": 136 + }, + { + "epoch": 0.30452903584328983, + "grad_norm": 0.055082373321056366, + "learning_rate": 0.002995049504950495, + "loss": 0.6262, + "step": 137 + }, + { + "epoch": 0.30675187552097805, + "grad_norm": 0.019244015216827393, + "learning_rate": 0.0029925742574257426, + "loss": 0.7297, + "step": 138 + }, + { + "epoch": 0.3089747151986663, + "grad_norm": 0.0185896847397089, + "learning_rate": 0.00299009900990099, + "loss": 0.775, + "step": 139 + }, + { + "epoch": 0.31119755487635453, + "grad_norm": 0.04311481863260269, + "learning_rate": 0.0029876237623762377, + "loss": 0.9192, + "step": 140 + }, + { + "epoch": 0.3134203945540428, + "grad_norm": 0.02153279259800911, + "learning_rate": 0.002985148514851485, + "loss": 0.7181, + "step": 141 + }, + { + "epoch": 0.315643234231731, + "grad_norm": 0.030037125572562218, + "learning_rate": 0.0029826732673267327, + "loss": 0.7947, + "step": 142 + }, + { + "epoch": 0.3178660739094193, + "grad_norm": 0.03192693367600441, + "learning_rate": 0.0029801980198019802, + "loss": 1.0311, + "step": 143 + }, + { + "epoch": 0.3200889135871075, + "grad_norm": 0.021701497957110405, + "learning_rate": 0.0029777227722772278, + "loss": 0.6511, + "step": 144 + }, + { + "epoch": 0.3223117532647958, + "grad_norm": 0.025493718683719635, + "learning_rate": 0.0029752475247524753, + "loss": 0.6231, + "step": 145 + }, + { + "epoch": 0.32453459294248405, + "grad_norm": 0.02308356948196888, + "learning_rate": 0.002972772277227723, + "loss": 0.7476, + "step": 146 + }, + { + "epoch": 0.32675743262017226, + "grad_norm": 0.01986018754541874, + "learning_rate": 0.0029702970297029703, + "loss": 0.7325, + "step": 147 + }, + { + "epoch": 0.32898027229786053, + "grad_norm": 0.017985232174396515, + "learning_rate": 0.002967821782178218, + "loss": 0.7233, + "step": 148 + }, + { + "epoch": 0.33120311197554875, + "grad_norm": 0.01952328160405159, + "learning_rate": 0.0029653465346534654, + "loss": 0.6821, + "step": 149 + }, + { + "epoch": 0.333425951653237, + "grad_norm": 0.020746653899550438, + "learning_rate": 0.002962871287128713, + "loss": 0.8254, + "step": 150 + }, + { + "epoch": 0.33564879133092523, + "grad_norm": 0.018172353506088257, + "learning_rate": 0.0029603960396039604, + "loss": 0.6146, + "step": 151 + }, + { + "epoch": 0.3378716310086135, + "grad_norm": 0.01994176022708416, + "learning_rate": 0.002957920792079208, + "loss": 0.8184, + "step": 152 + }, + { + "epoch": 0.3400944706863018, + "grad_norm": 0.026261357590556145, + "learning_rate": 0.0029554455445544555, + "loss": 0.7213, + "step": 153 + }, + { + "epoch": 0.34231731036399, + "grad_norm": 0.019761715084314346, + "learning_rate": 0.002952970297029703, + "loss": 0.7215, + "step": 154 + }, + { + "epoch": 0.34454015004167826, + "grad_norm": 0.022664040327072144, + "learning_rate": 0.0029504950495049505, + "loss": 0.8718, + "step": 155 + }, + { + "epoch": 0.3467629897193665, + "grad_norm": 0.027874581515789032, + "learning_rate": 0.002948019801980198, + "loss": 0.8164, + "step": 156 + }, + { + "epoch": 0.34898582939705475, + "grad_norm": 0.02273603528738022, + "learning_rate": 0.0029455445544554456, + "loss": 0.7851, + "step": 157 + }, + { + "epoch": 0.35120866907474296, + "grad_norm": 0.0187845416367054, + "learning_rate": 0.002943069306930693, + "loss": 0.7604, + "step": 158 + }, + { + "epoch": 0.35343150875243123, + "grad_norm": 0.019273824989795685, + "learning_rate": 0.0029405940594059406, + "loss": 0.5622, + "step": 159 + }, + { + "epoch": 0.3556543484301195, + "grad_norm": 0.02631755918264389, + "learning_rate": 0.002938118811881188, + "loss": 0.8661, + "step": 160 + }, + { + "epoch": 0.3578771881078077, + "grad_norm": 0.022346017882227898, + "learning_rate": 0.0029356435643564356, + "loss": 0.6781, + "step": 161 + }, + { + "epoch": 0.360100027785496, + "grad_norm": 0.021816574037075043, + "learning_rate": 0.002933168316831683, + "loss": 0.9022, + "step": 162 + }, + { + "epoch": 0.3623228674631842, + "grad_norm": 0.021531615406274796, + "learning_rate": 0.002930693069306931, + "loss": 0.6871, + "step": 163 + }, + { + "epoch": 0.3645457071408725, + "grad_norm": 0.022265218198299408, + "learning_rate": 0.002928217821782178, + "loss": 0.9247, + "step": 164 + }, + { + "epoch": 0.3667685468185607, + "grad_norm": 0.01669679768383503, + "learning_rate": 0.0029257425742574257, + "loss": 0.6005, + "step": 165 + }, + { + "epoch": 0.36899138649624896, + "grad_norm": 0.020891698077321053, + "learning_rate": 0.0029232673267326737, + "loss": 0.7063, + "step": 166 + }, + { + "epoch": 0.3712142261739372, + "grad_norm": 0.01642497256398201, + "learning_rate": 0.002920792079207921, + "loss": 0.7598, + "step": 167 + }, + { + "epoch": 0.37343706585162545, + "grad_norm": 0.022815469652414322, + "learning_rate": 0.0029183168316831683, + "loss": 0.7631, + "step": 168 + }, + { + "epoch": 0.3756599055293137, + "grad_norm": 0.02138301357626915, + "learning_rate": 0.0029158415841584163, + "loss": 0.7098, + "step": 169 + }, + { + "epoch": 0.37788274520700194, + "grad_norm": 0.022588403895497322, + "learning_rate": 0.0029133663366336634, + "loss": 0.8482, + "step": 170 + }, + { + "epoch": 0.3801055848846902, + "grad_norm": 0.017089666798710823, + "learning_rate": 0.002910891089108911, + "loss": 0.6223, + "step": 171 + }, + { + "epoch": 0.3823284245623784, + "grad_norm": 0.014961940236389637, + "learning_rate": 0.002908415841584159, + "loss": 0.6889, + "step": 172 + }, + { + "epoch": 0.3845512642400667, + "grad_norm": 0.022101087495684624, + "learning_rate": 0.002905940594059406, + "loss": 0.7824, + "step": 173 + }, + { + "epoch": 0.3867741039177549, + "grad_norm": 0.020935313776135445, + "learning_rate": 0.0029034653465346534, + "loss": 0.7214, + "step": 174 + }, + { + "epoch": 0.3889969435954432, + "grad_norm": 0.027509761974215508, + "learning_rate": 0.0029009900990099014, + "loss": 0.7776, + "step": 175 + }, + { + "epoch": 0.39121978327313145, + "grad_norm": 0.03217627480626106, + "learning_rate": 0.0028985148514851485, + "loss": 0.7934, + "step": 176 + }, + { + "epoch": 0.39344262295081966, + "grad_norm": 0.01634255051612854, + "learning_rate": 0.002896039603960396, + "loss": 0.6374, + "step": 177 + }, + { + "epoch": 0.39566546262850794, + "grad_norm": 0.016692742705345154, + "learning_rate": 0.002893564356435644, + "loss": 0.6864, + "step": 178 + }, + { + "epoch": 0.39788830230619615, + "grad_norm": 0.019375508651137352, + "learning_rate": 0.002891089108910891, + "loss": 0.7127, + "step": 179 + }, + { + "epoch": 0.4001111419838844, + "grad_norm": 0.02516164816915989, + "learning_rate": 0.0028886138613861386, + "loss": 0.6287, + "step": 180 + }, + { + "epoch": 0.40233398166157264, + "grad_norm": 0.024371830746531487, + "learning_rate": 0.0028861386138613865, + "loss": 0.6914, + "step": 181 + }, + { + "epoch": 0.4045568213392609, + "grad_norm": 0.023201432079076767, + "learning_rate": 0.0028836633663366336, + "loss": 0.8256, + "step": 182 + }, + { + "epoch": 0.4067796610169492, + "grad_norm": 0.03344796970486641, + "learning_rate": 0.002881188118811881, + "loss": 0.7973, + "step": 183 + }, + { + "epoch": 0.4090025006946374, + "grad_norm": 0.019620005041360855, + "learning_rate": 0.002878712871287129, + "loss": 0.7596, + "step": 184 + }, + { + "epoch": 0.41122534037232567, + "grad_norm": 0.017026478424668312, + "learning_rate": 0.002876237623762376, + "loss": 0.7195, + "step": 185 + }, + { + "epoch": 0.4134481800500139, + "grad_norm": 0.01848086714744568, + "learning_rate": 0.0028737623762376237, + "loss": 0.887, + "step": 186 + }, + { + "epoch": 0.41567101972770215, + "grad_norm": 0.02092432789504528, + "learning_rate": 0.0028712871287128717, + "loss": 0.7142, + "step": 187 + }, + { + "epoch": 0.41789385940539037, + "grad_norm": 0.060593266040086746, + "learning_rate": 0.0028688118811881188, + "loss": 0.6788, + "step": 188 + }, + { + "epoch": 0.42011669908307864, + "grad_norm": 0.018896559253335, + "learning_rate": 0.0028663366336633663, + "loss": 0.5818, + "step": 189 + }, + { + "epoch": 0.42233953876076685, + "grad_norm": 0.015938229858875275, + "learning_rate": 0.0028638613861386142, + "loss": 0.6667, + "step": 190 + }, + { + "epoch": 0.4245623784384551, + "grad_norm": 0.04060890153050423, + "learning_rate": 0.0028613861386138613, + "loss": 0.7224, + "step": 191 + }, + { + "epoch": 0.4267852181161434, + "grad_norm": 0.019955582916736603, + "learning_rate": 0.002858910891089109, + "loss": 0.7129, + "step": 192 + }, + { + "epoch": 0.4290080577938316, + "grad_norm": 0.02846820093691349, + "learning_rate": 0.002856435643564357, + "loss": 0.8338, + "step": 193 + }, + { + "epoch": 0.4312308974715199, + "grad_norm": 0.024327551946043968, + "learning_rate": 0.002853960396039604, + "loss": 0.7844, + "step": 194 + }, + { + "epoch": 0.4334537371492081, + "grad_norm": 0.022156810387969017, + "learning_rate": 0.0028514851485148514, + "loss": 0.7783, + "step": 195 + }, + { + "epoch": 0.43567657682689637, + "grad_norm": 0.020973121747374535, + "learning_rate": 0.0028490099009900994, + "loss": 0.7924, + "step": 196 + }, + { + "epoch": 0.4378994165045846, + "grad_norm": 0.02271064557135105, + "learning_rate": 0.0028465346534653465, + "loss": 0.8475, + "step": 197 + }, + { + "epoch": 0.44012225618227285, + "grad_norm": 0.017409365624189377, + "learning_rate": 0.002844059405940594, + "loss": 0.6592, + "step": 198 + }, + { + "epoch": 0.4423450958599611, + "grad_norm": 0.016952740028500557, + "learning_rate": 0.002841584158415842, + "loss": 0.7419, + "step": 199 + }, + { + "epoch": 0.44456793553764934, + "grad_norm": 0.022074569016695023, + "learning_rate": 0.002839108910891089, + "loss": 0.9592, + "step": 200 + }, + { + "epoch": 0.4467907752153376, + "grad_norm": 0.019633406773209572, + "learning_rate": 0.0028366336633663366, + "loss": 0.846, + "step": 201 + }, + { + "epoch": 0.4490136148930258, + "grad_norm": 0.02506411075592041, + "learning_rate": 0.0028341584158415845, + "loss": 0.8544, + "step": 202 + }, + { + "epoch": 0.4512364545707141, + "grad_norm": 0.011820493265986443, + "learning_rate": 0.0028316831683168316, + "loss": 0.6832, + "step": 203 + }, + { + "epoch": 0.4534592942484023, + "grad_norm": 0.013546622358262539, + "learning_rate": 0.002829207920792079, + "loss": 0.7245, + "step": 204 + }, + { + "epoch": 0.4556821339260906, + "grad_norm": 0.016001511365175247, + "learning_rate": 0.002826732673267327, + "loss": 0.6386, + "step": 205 + }, + { + "epoch": 0.45790497360377885, + "grad_norm": 0.016753453761339188, + "learning_rate": 0.002824257425742574, + "loss": 0.681, + "step": 206 + }, + { + "epoch": 0.46012781328146707, + "grad_norm": 0.021365856751799583, + "learning_rate": 0.0028217821782178217, + "loss": 0.7229, + "step": 207 + }, + { + "epoch": 0.46235065295915534, + "grad_norm": 0.016552921384572983, + "learning_rate": 0.0028193069306930696, + "loss": 0.741, + "step": 208 + }, + { + "epoch": 0.46457349263684355, + "grad_norm": 0.0160622950643301, + "learning_rate": 0.0028168316831683167, + "loss": 0.8179, + "step": 209 + }, + { + "epoch": 0.4667963323145318, + "grad_norm": 0.01873830333352089, + "learning_rate": 0.0028143564356435643, + "loss": 0.7208, + "step": 210 + }, + { + "epoch": 0.46901917199222004, + "grad_norm": 0.01617845520377159, + "learning_rate": 0.002811881188118812, + "loss": 0.7291, + "step": 211 + }, + { + "epoch": 0.4712420116699083, + "grad_norm": 0.016890326514840126, + "learning_rate": 0.0028094059405940593, + "loss": 0.7388, + "step": 212 + }, + { + "epoch": 0.4734648513475965, + "grad_norm": 0.01602407731115818, + "learning_rate": 0.0028069306930693073, + "loss": 0.6657, + "step": 213 + }, + { + "epoch": 0.4756876910252848, + "grad_norm": 0.02520548366010189, + "learning_rate": 0.0028044554455445548, + "loss": 0.7801, + "step": 214 + }, + { + "epoch": 0.47791053070297307, + "grad_norm": 0.017677821218967438, + "learning_rate": 0.002801980198019802, + "loss": 0.7508, + "step": 215 + }, + { + "epoch": 0.4801333703806613, + "grad_norm": 0.01971537061035633, + "learning_rate": 0.00279950495049505, + "loss": 0.8671, + "step": 216 + }, + { + "epoch": 0.48235621005834955, + "grad_norm": 0.020906252786517143, + "learning_rate": 0.0027970297029702973, + "loss": 0.8528, + "step": 217 + }, + { + "epoch": 0.48457904973603777, + "grad_norm": 0.020072396844625473, + "learning_rate": 0.0027945544554455444, + "loss": 0.6818, + "step": 218 + }, + { + "epoch": 0.48680188941372604, + "grad_norm": 0.015342594124376774, + "learning_rate": 0.0027920792079207924, + "loss": 0.7102, + "step": 219 + }, + { + "epoch": 0.48902472909141426, + "grad_norm": 0.018210800364613533, + "learning_rate": 0.00278960396039604, + "loss": 0.6902, + "step": 220 + }, + { + "epoch": 0.4912475687691025, + "grad_norm": 0.02456044964492321, + "learning_rate": 0.002787128712871287, + "loss": 0.7501, + "step": 221 + }, + { + "epoch": 0.4934704084467908, + "grad_norm": 0.010794063098728657, + "learning_rate": 0.002784653465346535, + "loss": 0.6494, + "step": 222 + }, + { + "epoch": 0.495693248124479, + "grad_norm": 0.014852452091872692, + "learning_rate": 0.0027821782178217825, + "loss": 0.6509, + "step": 223 + }, + { + "epoch": 0.4979160878021673, + "grad_norm": 0.023020023480057716, + "learning_rate": 0.0027797029702970296, + "loss": 0.7606, + "step": 224 + }, + { + "epoch": 0.5001389274798556, + "grad_norm": 0.018114762380719185, + "learning_rate": 0.0027772277227722775, + "loss": 0.7541, + "step": 225 + }, + { + "epoch": 0.5023617671575438, + "grad_norm": 0.018622858449816704, + "learning_rate": 0.002774752475247525, + "loss": 0.8621, + "step": 226 + }, + { + "epoch": 0.504584606835232, + "grad_norm": 0.018405485898256302, + "learning_rate": 0.002772277227722772, + "loss": 0.6815, + "step": 227 + }, + { + "epoch": 0.5068074465129202, + "grad_norm": 0.019367920234799385, + "learning_rate": 0.00276980198019802, + "loss": 0.8323, + "step": 228 + }, + { + "epoch": 0.5090302861906085, + "grad_norm": 0.016442907974123955, + "learning_rate": 0.0027673267326732676, + "loss": 0.6732, + "step": 229 + }, + { + "epoch": 0.5112531258682967, + "grad_norm": 0.02419120818376541, + "learning_rate": 0.0027648514851485147, + "loss": 0.7696, + "step": 230 + }, + { + "epoch": 0.513475965545985, + "grad_norm": 0.023511352017521858, + "learning_rate": 0.0027623762376237627, + "loss": 0.6797, + "step": 231 + }, + { + "epoch": 0.5156988052236733, + "grad_norm": 0.019304659217596054, + "learning_rate": 0.00275990099009901, + "loss": 0.7255, + "step": 232 + }, + { + "epoch": 0.5179216449013615, + "grad_norm": 0.01737944595515728, + "learning_rate": 0.0027574257425742573, + "loss": 0.6911, + "step": 233 + }, + { + "epoch": 0.5201444845790497, + "grad_norm": 0.017303744331002235, + "learning_rate": 0.0027549504950495052, + "loss": 0.7673, + "step": 234 + }, + { + "epoch": 0.5223673242567379, + "grad_norm": 0.018068619072437286, + "learning_rate": 0.0027524752475247528, + "loss": 0.7392, + "step": 235 + }, + { + "epoch": 0.5245901639344263, + "grad_norm": 0.01970060169696808, + "learning_rate": 0.00275, + "loss": 0.6399, + "step": 236 + }, + { + "epoch": 0.5268130036121145, + "grad_norm": 0.016325384378433228, + "learning_rate": 0.002747524752475248, + "loss": 0.8503, + "step": 237 + }, + { + "epoch": 0.5290358432898027, + "grad_norm": 0.020598750561475754, + "learning_rate": 0.002745049504950495, + "loss": 0.7524, + "step": 238 + }, + { + "epoch": 0.531258682967491, + "grad_norm": 0.016212867572903633, + "learning_rate": 0.0027425742574257424, + "loss": 0.6051, + "step": 239 + }, + { + "epoch": 0.5334815226451792, + "grad_norm": 0.015269650146365166, + "learning_rate": 0.0027400990099009904, + "loss": 0.642, + "step": 240 + }, + { + "epoch": 0.5357043623228674, + "grad_norm": 0.023223020136356354, + "learning_rate": 0.0027376237623762375, + "loss": 0.5973, + "step": 241 + }, + { + "epoch": 0.5379272020005557, + "grad_norm": 0.015060219913721085, + "learning_rate": 0.002735148514851485, + "loss": 0.6679, + "step": 242 + }, + { + "epoch": 0.540150041678244, + "grad_norm": 0.016781222075223923, + "learning_rate": 0.002732673267326733, + "loss": 0.6876, + "step": 243 + }, + { + "epoch": 0.5423728813559322, + "grad_norm": 0.01453195046633482, + "learning_rate": 0.00273019801980198, + "loss": 0.6025, + "step": 244 + }, + { + "epoch": 0.5445957210336204, + "grad_norm": 0.017990389838814735, + "learning_rate": 0.0027277227722772275, + "loss": 0.7093, + "step": 245 + }, + { + "epoch": 0.5468185607113087, + "grad_norm": 0.013350987806916237, + "learning_rate": 0.0027252475247524755, + "loss": 0.659, + "step": 246 + }, + { + "epoch": 0.549041400388997, + "grad_norm": 0.016740279272198677, + "learning_rate": 0.0027227722772277226, + "loss": 0.6952, + "step": 247 + }, + { + "epoch": 0.5512642400666852, + "grad_norm": 0.016187356784939766, + "learning_rate": 0.00272029702970297, + "loss": 0.6865, + "step": 248 + }, + { + "epoch": 0.5534870797443734, + "grad_norm": 0.015389680862426758, + "learning_rate": 0.002717821782178218, + "loss": 0.7032, + "step": 249 + }, + { + "epoch": 0.5557099194220617, + "grad_norm": 0.01613827608525753, + "learning_rate": 0.002715346534653465, + "loss": 0.8342, + "step": 250 + }, + { + "epoch": 0.5579327590997499, + "grad_norm": 0.02487931028008461, + "learning_rate": 0.0027128712871287127, + "loss": 0.7652, + "step": 251 + }, + { + "epoch": 0.5601555987774381, + "grad_norm": 0.01547365915030241, + "learning_rate": 0.0027103960396039606, + "loss": 0.6371, + "step": 252 + }, + { + "epoch": 0.5623784384551265, + "grad_norm": 0.08315558731555939, + "learning_rate": 0.0027079207920792077, + "loss": 0.7897, + "step": 253 + }, + { + "epoch": 0.5646012781328147, + "grad_norm": 0.014980711974203587, + "learning_rate": 0.0027054455445544552, + "loss": 0.8446, + "step": 254 + }, + { + "epoch": 0.5668241178105029, + "grad_norm": 0.01912595145404339, + "learning_rate": 0.002702970297029703, + "loss": 0.6859, + "step": 255 + }, + { + "epoch": 0.5690469574881911, + "grad_norm": 0.015234099701046944, + "learning_rate": 0.0027004950495049503, + "loss": 0.6902, + "step": 256 + }, + { + "epoch": 0.5712697971658794, + "grad_norm": 0.016250934451818466, + "learning_rate": 0.002698019801980198, + "loss": 0.6429, + "step": 257 + }, + { + "epoch": 0.5734926368435677, + "grad_norm": 0.013874251395463943, + "learning_rate": 0.0026955445544554458, + "loss": 0.6679, + "step": 258 + }, + { + "epoch": 0.5757154765212559, + "grad_norm": 0.020642723888158798, + "learning_rate": 0.002693069306930693, + "loss": 0.7782, + "step": 259 + }, + { + "epoch": 0.5779383161989442, + "grad_norm": 0.018470142036676407, + "learning_rate": 0.0026905940594059404, + "loss": 0.726, + "step": 260 + }, + { + "epoch": 0.5801611558766324, + "grad_norm": 0.01383270975202322, + "learning_rate": 0.0026881188118811883, + "loss": 0.6343, + "step": 261 + }, + { + "epoch": 0.5823839955543206, + "grad_norm": 0.02608071267604828, + "learning_rate": 0.0026856435643564354, + "loss": 0.7594, + "step": 262 + }, + { + "epoch": 0.5846068352320088, + "grad_norm": 0.01618632860481739, + "learning_rate": 0.0026831683168316834, + "loss": 0.6656, + "step": 263 + }, + { + "epoch": 0.5868296749096972, + "grad_norm": 0.022311942651867867, + "learning_rate": 0.002680693069306931, + "loss": 0.9195, + "step": 264 + }, + { + "epoch": 0.5890525145873854, + "grad_norm": 0.01792202889919281, + "learning_rate": 0.002678217821782178, + "loss": 0.7247, + "step": 265 + }, + { + "epoch": 0.5912753542650736, + "grad_norm": 0.017917366698384285, + "learning_rate": 0.002675742574257426, + "loss": 0.6302, + "step": 266 + }, + { + "epoch": 0.5934981939427619, + "grad_norm": 0.022937409579753876, + "learning_rate": 0.0026732673267326735, + "loss": 0.9526, + "step": 267 + }, + { + "epoch": 0.5957210336204501, + "grad_norm": 0.015674270689487457, + "learning_rate": 0.0026707920792079206, + "loss": 0.7029, + "step": 268 + }, + { + "epoch": 0.5979438732981384, + "grad_norm": 0.01607857085764408, + "learning_rate": 0.0026683168316831685, + "loss": 0.8267, + "step": 269 + }, + { + "epoch": 0.6001667129758266, + "grad_norm": 0.018459970131516457, + "learning_rate": 0.002665841584158416, + "loss": 0.7411, + "step": 270 + }, + { + "epoch": 0.6023895526535149, + "grad_norm": 0.01604890450835228, + "learning_rate": 0.002663366336633663, + "loss": 0.7138, + "step": 271 + }, + { + "epoch": 0.6046123923312031, + "grad_norm": 0.021214580163359642, + "learning_rate": 0.002660891089108911, + "loss": 0.6114, + "step": 272 + }, + { + "epoch": 0.6068352320088913, + "grad_norm": 0.019329868257045746, + "learning_rate": 0.0026584158415841586, + "loss": 0.723, + "step": 273 + }, + { + "epoch": 0.6090580716865797, + "grad_norm": 0.012522357515990734, + "learning_rate": 0.0026559405940594057, + "loss": 0.7007, + "step": 274 + }, + { + "epoch": 0.6112809113642679, + "grad_norm": 0.01763787679374218, + "learning_rate": 0.0026534653465346537, + "loss": 0.7885, + "step": 275 + }, + { + "epoch": 0.6135037510419561, + "grad_norm": 0.018133271485567093, + "learning_rate": 0.002650990099009901, + "loss": 0.7477, + "step": 276 + }, + { + "epoch": 0.6157265907196443, + "grad_norm": 0.013666578568518162, + "learning_rate": 0.0026485148514851483, + "loss": 0.6034, + "step": 277 + }, + { + "epoch": 0.6179494303973326, + "grad_norm": 0.014519906602799892, + "learning_rate": 0.0026460396039603962, + "loss": 0.6982, + "step": 278 + }, + { + "epoch": 0.6201722700750208, + "grad_norm": 0.016167080029845238, + "learning_rate": 0.0026435643564356437, + "loss": 0.7584, + "step": 279 + }, + { + "epoch": 0.6223951097527091, + "grad_norm": 0.0192260704934597, + "learning_rate": 0.002641089108910891, + "loss": 0.8423, + "step": 280 + }, + { + "epoch": 0.6246179494303973, + "grad_norm": 0.02769404463469982, + "learning_rate": 0.002638613861386139, + "loss": 0.7093, + "step": 281 + }, + { + "epoch": 0.6268407891080856, + "grad_norm": 0.023452669382095337, + "learning_rate": 0.0026361386138613863, + "loss": 0.7986, + "step": 282 + }, + { + "epoch": 0.6290636287857738, + "grad_norm": 0.02152738720178604, + "learning_rate": 0.0026336633663366334, + "loss": 0.7953, + "step": 283 + }, + { + "epoch": 0.631286468463462, + "grad_norm": 0.022495241835713387, + "learning_rate": 0.0026311881188118814, + "loss": 0.8022, + "step": 284 + }, + { + "epoch": 0.6335093081411504, + "grad_norm": 0.01805182732641697, + "learning_rate": 0.002628712871287129, + "loss": 0.6848, + "step": 285 + }, + { + "epoch": 0.6357321478188386, + "grad_norm": 0.020260373130440712, + "learning_rate": 0.002626237623762376, + "loss": 0.6499, + "step": 286 + }, + { + "epoch": 0.6379549874965268, + "grad_norm": 0.01385380420833826, + "learning_rate": 0.002623762376237624, + "loss": 0.6989, + "step": 287 + }, + { + "epoch": 0.640177827174215, + "grad_norm": 0.015470602549612522, + "learning_rate": 0.0026212871287128714, + "loss": 0.745, + "step": 288 + }, + { + "epoch": 0.6424006668519033, + "grad_norm": 0.011990759521722794, + "learning_rate": 0.0026188118811881185, + "loss": 0.6064, + "step": 289 + }, + { + "epoch": 0.6446235065295916, + "grad_norm": 0.01651688665151596, + "learning_rate": 0.0026163366336633665, + "loss": 0.6985, + "step": 290 + }, + { + "epoch": 0.6468463462072798, + "grad_norm": 0.013933480717241764, + "learning_rate": 0.002613861386138614, + "loss": 0.6943, + "step": 291 + }, + { + "epoch": 0.6490691858849681, + "grad_norm": 0.014627222903072834, + "learning_rate": 0.002611386138613861, + "loss": 0.5978, + "step": 292 + }, + { + "epoch": 0.6512920255626563, + "grad_norm": 0.016101978719234467, + "learning_rate": 0.002608910891089109, + "loss": 0.7254, + "step": 293 + }, + { + "epoch": 0.6535148652403445, + "grad_norm": 0.012672492302954197, + "learning_rate": 0.0026064356435643566, + "loss": 0.686, + "step": 294 + }, + { + "epoch": 0.6557377049180327, + "grad_norm": 0.019365599378943443, + "learning_rate": 0.0026039603960396037, + "loss": 0.6987, + "step": 295 + }, + { + "epoch": 0.6579605445957211, + "grad_norm": 0.013569362461566925, + "learning_rate": 0.0026014851485148516, + "loss": 0.6362, + "step": 296 + }, + { + "epoch": 0.6601833842734093, + "grad_norm": 0.016133926808834076, + "learning_rate": 0.002599009900990099, + "loss": 0.6661, + "step": 297 + }, + { + "epoch": 0.6624062239510975, + "grad_norm": 0.016300931572914124, + "learning_rate": 0.0025965346534653462, + "loss": 0.64, + "step": 298 + }, + { + "epoch": 0.6646290636287858, + "grad_norm": 0.012371404096484184, + "learning_rate": 0.002594059405940594, + "loss": 0.6825, + "step": 299 + }, + { + "epoch": 0.666851903306474, + "grad_norm": 0.018244942650198936, + "learning_rate": 0.0025915841584158417, + "loss": 0.735, + "step": 300 + }, + { + "epoch": 0.6690747429841623, + "grad_norm": 0.05636992305517197, + "learning_rate": 0.002589108910891089, + "loss": 0.7862, + "step": 301 + }, + { + "epoch": 0.6712975826618505, + "grad_norm": 0.01677551493048668, + "learning_rate": 0.0025866336633663368, + "loss": 0.7861, + "step": 302 + }, + { + "epoch": 0.6735204223395388, + "grad_norm": 0.01706579327583313, + "learning_rate": 0.0025841584158415843, + "loss": 0.8371, + "step": 303 + }, + { + "epoch": 0.675743262017227, + "grad_norm": 0.014940536580979824, + "learning_rate": 0.0025816831683168314, + "loss": 0.6754, + "step": 304 + }, + { + "epoch": 0.6779661016949152, + "grad_norm": 0.013865659013390541, + "learning_rate": 0.0025792079207920793, + "loss": 0.9877, + "step": 305 + }, + { + "epoch": 0.6801889413726036, + "grad_norm": 0.010642016306519508, + "learning_rate": 0.002576732673267327, + "loss": 0.6201, + "step": 306 + }, + { + "epoch": 0.6824117810502918, + "grad_norm": 0.01661493070423603, + "learning_rate": 0.002574257425742574, + "loss": 0.6654, + "step": 307 + }, + { + "epoch": 0.68463462072798, + "grad_norm": 0.018468208611011505, + "learning_rate": 0.002571782178217822, + "loss": 0.7863, + "step": 308 + }, + { + "epoch": 0.6868574604056682, + "grad_norm": 0.022226519882678986, + "learning_rate": 0.0025693069306930694, + "loss": 0.7191, + "step": 309 + }, + { + "epoch": 0.6890803000833565, + "grad_norm": 0.019259922206401825, + "learning_rate": 0.0025668316831683165, + "loss": 0.8028, + "step": 310 + }, + { + "epoch": 0.6913031397610447, + "grad_norm": 0.017490798607468605, + "learning_rate": 0.0025643564356435645, + "loss": 0.7814, + "step": 311 + }, + { + "epoch": 0.693525979438733, + "grad_norm": 0.02297484688460827, + "learning_rate": 0.002561881188118812, + "loss": 0.6705, + "step": 312 + }, + { + "epoch": 0.6957488191164213, + "grad_norm": 0.01425850111991167, + "learning_rate": 0.0025594059405940595, + "loss": 0.7235, + "step": 313 + }, + { + "epoch": 0.6979716587941095, + "grad_norm": 0.012471362948417664, + "learning_rate": 0.002556930693069307, + "loss": 0.7424, + "step": 314 + }, + { + "epoch": 0.7001944984717977, + "grad_norm": 0.013804659247398376, + "learning_rate": 0.0025544554455445546, + "loss": 0.6745, + "step": 315 + }, + { + "epoch": 0.7024173381494859, + "grad_norm": 0.01753597892820835, + "learning_rate": 0.002551980198019802, + "loss": 0.7136, + "step": 316 + }, + { + "epoch": 0.7046401778271743, + "grad_norm": 0.01735616661608219, + "learning_rate": 0.0025495049504950496, + "loss": 0.6987, + "step": 317 + }, + { + "epoch": 0.7068630175048625, + "grad_norm": 0.013026660308241844, + "learning_rate": 0.002547029702970297, + "loss": 0.5521, + "step": 318 + }, + { + "epoch": 0.7090858571825507, + "grad_norm": 0.011274688877165318, + "learning_rate": 0.0025445544554455446, + "loss": 0.5929, + "step": 319 + }, + { + "epoch": 0.711308696860239, + "grad_norm": 0.013325052335858345, + "learning_rate": 0.002542079207920792, + "loss": 0.6723, + "step": 320 + }, + { + "epoch": 0.7135315365379272, + "grad_norm": 0.012779835611581802, + "learning_rate": 0.0025396039603960397, + "loss": 0.6871, + "step": 321 + }, + { + "epoch": 0.7157543762156154, + "grad_norm": 0.019513219594955444, + "learning_rate": 0.002537128712871287, + "loss": 0.7549, + "step": 322 + }, + { + "epoch": 0.7179772158933037, + "grad_norm": 0.014735296368598938, + "learning_rate": 0.0025346534653465347, + "loss": 0.7868, + "step": 323 + }, + { + "epoch": 0.720200055570992, + "grad_norm": 0.015642767772078514, + "learning_rate": 0.0025321782178217823, + "loss": 0.6612, + "step": 324 + }, + { + "epoch": 0.7224228952486802, + "grad_norm": 0.013669556006789207, + "learning_rate": 0.0025297029702970298, + "loss": 0.6112, + "step": 325 + }, + { + "epoch": 0.7246457349263684, + "grad_norm": 0.012594704516232014, + "learning_rate": 0.0025272277227722773, + "loss": 0.7393, + "step": 326 + }, + { + "epoch": 0.7268685746040566, + "grad_norm": 0.015079697594046593, + "learning_rate": 0.002524752475247525, + "loss": 0.793, + "step": 327 + }, + { + "epoch": 0.729091414281745, + "grad_norm": 0.013951257802546024, + "learning_rate": 0.0025222772277227723, + "loss": 0.6706, + "step": 328 + }, + { + "epoch": 0.7313142539594332, + "grad_norm": 0.019177842885255814, + "learning_rate": 0.00251980198019802, + "loss": 0.7779, + "step": 329 + }, + { + "epoch": 0.7335370936371214, + "grad_norm": 0.013305417262017727, + "learning_rate": 0.0025173267326732674, + "loss": 0.7178, + "step": 330 + }, + { + "epoch": 0.7357599333148097, + "grad_norm": 0.02146240696310997, + "learning_rate": 0.002514851485148515, + "loss": 0.7293, + "step": 331 + }, + { + "epoch": 0.7379827729924979, + "grad_norm": 0.013251793570816517, + "learning_rate": 0.0025123762376237624, + "loss": 0.7747, + "step": 332 + }, + { + "epoch": 0.7402056126701861, + "grad_norm": 0.01089315302670002, + "learning_rate": 0.00250990099009901, + "loss": 0.5445, + "step": 333 + }, + { + "epoch": 0.7424284523478744, + "grad_norm": 0.01445831824094057, + "learning_rate": 0.0025074257425742575, + "loss": 0.6669, + "step": 334 + }, + { + "epoch": 0.7446512920255627, + "grad_norm": 0.014526651240885258, + "learning_rate": 0.002504950495049505, + "loss": 0.7194, + "step": 335 + }, + { + "epoch": 0.7468741317032509, + "grad_norm": 0.018426531925797462, + "learning_rate": 0.0025024752475247525, + "loss": 0.8315, + "step": 336 + }, + { + "epoch": 0.7490969713809391, + "grad_norm": 0.01586451753973961, + "learning_rate": 0.0025, + "loss": 0.572, + "step": 337 + }, + { + "epoch": 0.7513198110586274, + "grad_norm": 0.014794967137277126, + "learning_rate": 0.0024975247524752476, + "loss": 0.6875, + "step": 338 + }, + { + "epoch": 0.7535426507363157, + "grad_norm": 0.013549881055951118, + "learning_rate": 0.002495049504950495, + "loss": 0.6709, + "step": 339 + }, + { + "epoch": 0.7557654904140039, + "grad_norm": 0.0105968052521348, + "learning_rate": 0.0024925742574257426, + "loss": 0.5964, + "step": 340 + }, + { + "epoch": 0.7579883300916921, + "grad_norm": 0.015588056296110153, + "learning_rate": 0.00249009900990099, + "loss": 0.6671, + "step": 341 + }, + { + "epoch": 0.7602111697693804, + "grad_norm": 0.01798832416534424, + "learning_rate": 0.0024876237623762377, + "loss": 0.8818, + "step": 342 + }, + { + "epoch": 0.7624340094470686, + "grad_norm": 0.013795461505651474, + "learning_rate": 0.002485148514851485, + "loss": 0.5748, + "step": 343 + }, + { + "epoch": 0.7646568491247568, + "grad_norm": 0.016307495534420013, + "learning_rate": 0.0024826732673267327, + "loss": 0.7323, + "step": 344 + }, + { + "epoch": 0.7668796888024452, + "grad_norm": 0.012711350806057453, + "learning_rate": 0.0024801980198019802, + "loss": 0.5185, + "step": 345 + }, + { + "epoch": 0.7691025284801334, + "grad_norm": 0.01902935467660427, + "learning_rate": 0.0024777227722772278, + "loss": 0.7524, + "step": 346 + }, + { + "epoch": 0.7713253681578216, + "grad_norm": 0.013338466174900532, + "learning_rate": 0.0024752475247524753, + "loss": 0.6606, + "step": 347 + }, + { + "epoch": 0.7735482078355098, + "grad_norm": 0.017752062529325485, + "learning_rate": 0.002472772277227723, + "loss": 0.85, + "step": 348 + }, + { + "epoch": 0.7757710475131981, + "grad_norm": 0.013239924795925617, + "learning_rate": 0.0024702970297029703, + "loss": 0.623, + "step": 349 + }, + { + "epoch": 0.7779938871908864, + "grad_norm": 0.017011214047670364, + "learning_rate": 0.002467821782178218, + "loss": 0.6873, + "step": 350 + }, + { + "epoch": 0.7802167268685746, + "grad_norm": 0.015225573442876339, + "learning_rate": 0.0024653465346534654, + "loss": 0.6334, + "step": 351 + }, + { + "epoch": 0.7824395665462629, + "grad_norm": 0.020225588232278824, + "learning_rate": 0.002462871287128713, + "loss": 0.7056, + "step": 352 + }, + { + "epoch": 0.7846624062239511, + "grad_norm": 0.01229569036513567, + "learning_rate": 0.0024603960396039604, + "loss": 0.7022, + "step": 353 + }, + { + "epoch": 0.7868852459016393, + "grad_norm": 0.013165128417313099, + "learning_rate": 0.002457920792079208, + "loss": 0.6532, + "step": 354 + }, + { + "epoch": 0.7891080855793275, + "grad_norm": 0.026388289406895638, + "learning_rate": 0.0024554455445544555, + "loss": 0.6812, + "step": 355 + }, + { + "epoch": 0.7913309252570159, + "grad_norm": 0.014291019178926945, + "learning_rate": 0.002452970297029703, + "loss": 0.7062, + "step": 356 + }, + { + "epoch": 0.7935537649347041, + "grad_norm": 0.017437303438782692, + "learning_rate": 0.0024504950495049505, + "loss": 0.7651, + "step": 357 + }, + { + "epoch": 0.7957766046123923, + "grad_norm": 0.016056453809142113, + "learning_rate": 0.002448019801980198, + "loss": 0.6909, + "step": 358 + }, + { + "epoch": 0.7979994442900806, + "grad_norm": 0.017870964482426643, + "learning_rate": 0.0024455445544554455, + "loss": 0.541, + "step": 359 + }, + { + "epoch": 0.8002222839677688, + "grad_norm": 0.014736250974237919, + "learning_rate": 0.002443069306930693, + "loss": 0.7619, + "step": 360 + }, + { + "epoch": 0.8024451236454571, + "grad_norm": 0.013172541745007038, + "learning_rate": 0.0024405940594059406, + "loss": 0.5607, + "step": 361 + }, + { + "epoch": 0.8046679633231453, + "grad_norm": 0.017459526658058167, + "learning_rate": 0.002438118811881188, + "loss": 0.7483, + "step": 362 + }, + { + "epoch": 0.8068908030008336, + "grad_norm": 0.016839707270264626, + "learning_rate": 0.002435643564356436, + "loss": 0.7191, + "step": 363 + }, + { + "epoch": 0.8091136426785218, + "grad_norm": 0.017826620489358902, + "learning_rate": 0.002433168316831683, + "loss": 0.8137, + "step": 364 + }, + { + "epoch": 0.81133648235621, + "grad_norm": 0.019586768001317978, + "learning_rate": 0.0024306930693069307, + "loss": 0.8679, + "step": 365 + }, + { + "epoch": 0.8135593220338984, + "grad_norm": 0.03678233548998833, + "learning_rate": 0.0024282178217821786, + "loss": 0.6402, + "step": 366 + }, + { + "epoch": 0.8157821617115866, + "grad_norm": 0.02029457874596119, + "learning_rate": 0.0024257425742574257, + "loss": 0.794, + "step": 367 + }, + { + "epoch": 0.8180050013892748, + "grad_norm": 0.014588624238967896, + "learning_rate": 0.0024232673267326733, + "loss": 0.5804, + "step": 368 + }, + { + "epoch": 0.820227841066963, + "grad_norm": 0.014623894356191158, + "learning_rate": 0.002420792079207921, + "loss": 0.6849, + "step": 369 + }, + { + "epoch": 0.8224506807446513, + "grad_norm": 0.014702382497489452, + "learning_rate": 0.0024183168316831683, + "loss": 0.6318, + "step": 370 + }, + { + "epoch": 0.8246735204223395, + "grad_norm": 0.026238251477479935, + "learning_rate": 0.002415841584158416, + "loss": 0.6903, + "step": 371 + }, + { + "epoch": 0.8268963601000278, + "grad_norm": 0.017133679240942, + "learning_rate": 0.0024133663366336638, + "loss": 0.6215, + "step": 372 + }, + { + "epoch": 0.8291191997777161, + "grad_norm": 0.011881059035658836, + "learning_rate": 0.002410891089108911, + "loss": 0.6326, + "step": 373 + }, + { + "epoch": 0.8313420394554043, + "grad_norm": 0.015931686386466026, + "learning_rate": 0.0024084158415841584, + "loss": 0.5843, + "step": 374 + }, + { + "epoch": 0.8335648791330925, + "grad_norm": 0.014707183465361595, + "learning_rate": 0.0024059405940594063, + "loss": 0.5787, + "step": 375 + }, + { + "epoch": 0.8357877188107807, + "grad_norm": 0.015076966024935246, + "learning_rate": 0.0024034653465346534, + "loss": 0.6184, + "step": 376 + }, + { + "epoch": 0.8380105584884691, + "grad_norm": 0.015617873519659042, + "learning_rate": 0.002400990099009901, + "loss": 0.6095, + "step": 377 + }, + { + "epoch": 0.8402333981661573, + "grad_norm": 0.016791800037026405, + "learning_rate": 0.002398514851485149, + "loss": 0.7002, + "step": 378 + }, + { + "epoch": 0.8424562378438455, + "grad_norm": 0.01942884549498558, + "learning_rate": 0.002396039603960396, + "loss": 0.6643, + "step": 379 + }, + { + "epoch": 0.8446790775215337, + "grad_norm": 0.02692730724811554, + "learning_rate": 0.0023935643564356435, + "loss": 0.6722, + "step": 380 + }, + { + "epoch": 0.846901917199222, + "grad_norm": 0.016538864001631737, + "learning_rate": 0.0023910891089108915, + "loss": 0.592, + "step": 381 + }, + { + "epoch": 0.8491247568769102, + "grad_norm": 0.0320366770029068, + "learning_rate": 0.0023886138613861386, + "loss": 0.6845, + "step": 382 + }, + { + "epoch": 0.8513475965545985, + "grad_norm": 0.011704586446285248, + "learning_rate": 0.002386138613861386, + "loss": 0.6338, + "step": 383 + }, + { + "epoch": 0.8535704362322868, + "grad_norm": 0.012988455593585968, + "learning_rate": 0.002383663366336634, + "loss": 0.6345, + "step": 384 + }, + { + "epoch": 0.855793275909975, + "grad_norm": 0.036786969751119614, + "learning_rate": 0.002381188118811881, + "loss": 0.6513, + "step": 385 + }, + { + "epoch": 0.8580161155876632, + "grad_norm": 0.01267944648861885, + "learning_rate": 0.0023787128712871287, + "loss": 0.6335, + "step": 386 + }, + { + "epoch": 0.8602389552653514, + "grad_norm": 0.021348008885979652, + "learning_rate": 0.0023762376237623766, + "loss": 0.6572, + "step": 387 + }, + { + "epoch": 0.8624617949430398, + "grad_norm": 0.016306119039654732, + "learning_rate": 0.0023737623762376237, + "loss": 0.6352, + "step": 388 + }, + { + "epoch": 0.864684634620728, + "grad_norm": 0.016549356281757355, + "learning_rate": 0.0023712871287128712, + "loss": 0.6428, + "step": 389 + }, + { + "epoch": 0.8669074742984162, + "grad_norm": 0.01346430741250515, + "learning_rate": 0.002368811881188119, + "loss": 0.6152, + "step": 390 + }, + { + "epoch": 0.8691303139761045, + "grad_norm": 0.01475781761109829, + "learning_rate": 0.0023663366336633663, + "loss": 0.6869, + "step": 391 + }, + { + "epoch": 0.8713531536537927, + "grad_norm": 0.021658863872289658, + "learning_rate": 0.002363861386138614, + "loss": 0.8617, + "step": 392 + }, + { + "epoch": 0.873575993331481, + "grad_norm": 0.014893801882863045, + "learning_rate": 0.0023613861386138617, + "loss": 0.6334, + "step": 393 + }, + { + "epoch": 0.8757988330091692, + "grad_norm": 0.015763310715556145, + "learning_rate": 0.002358910891089109, + "loss": 0.6145, + "step": 394 + }, + { + "epoch": 0.8780216726868575, + "grad_norm": 0.01235837209969759, + "learning_rate": 0.0023564356435643564, + "loss": 0.6377, + "step": 395 + }, + { + "epoch": 0.8802445123645457, + "grad_norm": 0.08386275917291641, + "learning_rate": 0.0023539603960396043, + "loss": 0.6466, + "step": 396 + }, + { + "epoch": 0.8824673520422339, + "grad_norm": 0.024875586852431297, + "learning_rate": 0.0023514851485148514, + "loss": 0.772, + "step": 397 + }, + { + "epoch": 0.8846901917199222, + "grad_norm": 0.022778382524847984, + "learning_rate": 0.002349009900990099, + "loss": 0.77, + "step": 398 + }, + { + "epoch": 0.8869130313976105, + "grad_norm": 0.01597260683774948, + "learning_rate": 0.002346534653465347, + "loss": 0.8057, + "step": 399 + }, + { + "epoch": 0.8891358710752987, + "grad_norm": 0.023420272395014763, + "learning_rate": 0.002344059405940594, + "loss": 0.6152, + "step": 400 + }, + { + "epoch": 0.8913587107529869, + "grad_norm": 0.014347629621624947, + "learning_rate": 0.0023415841584158415, + "loss": 0.6851, + "step": 401 + }, + { + "epoch": 0.8935815504306752, + "grad_norm": 0.015029153786599636, + "learning_rate": 0.0023391089108910895, + "loss": 0.667, + "step": 402 + }, + { + "epoch": 0.8958043901083634, + "grad_norm": 0.014809265732765198, + "learning_rate": 0.0023366336633663365, + "loss": 0.5953, + "step": 403 + }, + { + "epoch": 0.8980272297860517, + "grad_norm": 0.015516281127929688, + "learning_rate": 0.002334158415841584, + "loss": 0.7201, + "step": 404 + }, + { + "epoch": 0.90025006946374, + "grad_norm": 0.016222365200519562, + "learning_rate": 0.002331683168316832, + "loss": 0.6713, + "step": 405 + }, + { + "epoch": 0.9024729091414282, + "grad_norm": 0.017578039318323135, + "learning_rate": 0.002329207920792079, + "loss": 0.5812, + "step": 406 + }, + { + "epoch": 0.9046957488191164, + "grad_norm": 0.018017487600445747, + "learning_rate": 0.0023267326732673266, + "loss": 0.6542, + "step": 407 + }, + { + "epoch": 0.9069185884968046, + "grad_norm": 0.020421525463461876, + "learning_rate": 0.0023242574257425746, + "loss": 0.8204, + "step": 408 + }, + { + "epoch": 0.909141428174493, + "grad_norm": 0.016109053045511246, + "learning_rate": 0.0023217821782178217, + "loss": 0.6965, + "step": 409 + }, + { + "epoch": 0.9113642678521812, + "grad_norm": 0.014515829272568226, + "learning_rate": 0.002319306930693069, + "loss": 0.6253, + "step": 410 + }, + { + "epoch": 0.9135871075298694, + "grad_norm": 0.021663261577486992, + "learning_rate": 0.002316831683168317, + "loss": 0.8357, + "step": 411 + }, + { + "epoch": 0.9158099472075577, + "grad_norm": 0.014531668275594711, + "learning_rate": 0.0023143564356435642, + "loss": 0.6608, + "step": 412 + }, + { + "epoch": 0.9180327868852459, + "grad_norm": 0.018239939585328102, + "learning_rate": 0.002311881188118812, + "loss": 0.7747, + "step": 413 + }, + { + "epoch": 0.9202556265629341, + "grad_norm": 0.012773513793945312, + "learning_rate": 0.0023094059405940597, + "loss": 0.5356, + "step": 414 + }, + { + "epoch": 0.9224784662406224, + "grad_norm": 0.012568398378789425, + "learning_rate": 0.002306930693069307, + "loss": 0.6577, + "step": 415 + }, + { + "epoch": 0.9247013059183107, + "grad_norm": 0.017879627645015717, + "learning_rate": 0.0023044554455445548, + "loss": 0.5712, + "step": 416 + }, + { + "epoch": 0.9269241455959989, + "grad_norm": 0.0374915786087513, + "learning_rate": 0.0023019801980198023, + "loss": 0.6147, + "step": 417 + }, + { + "epoch": 0.9291469852736871, + "grad_norm": 0.01358667854219675, + "learning_rate": 0.0022995049504950494, + "loss": 0.6152, + "step": 418 + }, + { + "epoch": 0.9313698249513754, + "grad_norm": 0.013912348076701164, + "learning_rate": 0.0022970297029702973, + "loss": 0.6511, + "step": 419 + }, + { + "epoch": 0.9335926646290637, + "grad_norm": 0.014229892753064632, + "learning_rate": 0.002294554455445545, + "loss": 0.6068, + "step": 420 + }, + { + "epoch": 0.9358155043067519, + "grad_norm": 0.017046229913830757, + "learning_rate": 0.002292079207920792, + "loss": 0.7221, + "step": 421 + }, + { + "epoch": 0.9380383439844401, + "grad_norm": 0.013679401949048042, + "learning_rate": 0.00228960396039604, + "loss": 0.6077, + "step": 422 + }, + { + "epoch": 0.9402611836621284, + "grad_norm": 0.018443197011947632, + "learning_rate": 0.0022871287128712874, + "loss": 0.7146, + "step": 423 + }, + { + "epoch": 0.9424840233398166, + "grad_norm": 0.021021803840994835, + "learning_rate": 0.0022846534653465345, + "loss": 0.829, + "step": 424 + }, + { + "epoch": 0.9447068630175048, + "grad_norm": 0.013253494165837765, + "learning_rate": 0.0022821782178217825, + "loss": 0.6044, + "step": 425 + }, + { + "epoch": 0.946929702695193, + "grad_norm": 0.015879614278674126, + "learning_rate": 0.00227970297029703, + "loss": 0.6039, + "step": 426 + }, + { + "epoch": 0.9491525423728814, + "grad_norm": 0.02068069390952587, + "learning_rate": 0.002277227722772277, + "loss": 0.7617, + "step": 427 + }, + { + "epoch": 0.9513753820505696, + "grad_norm": 0.013184352777898312, + "learning_rate": 0.002274752475247525, + "loss": 0.6523, + "step": 428 + }, + { + "epoch": 0.9535982217282578, + "grad_norm": 0.0113218380138278, + "learning_rate": 0.0022722772277227726, + "loss": 0.6023, + "step": 429 + }, + { + "epoch": 0.9558210614059461, + "grad_norm": 0.018204597756266594, + "learning_rate": 0.0022698019801980196, + "loss": 0.6851, + "step": 430 + }, + { + "epoch": 0.9580439010836344, + "grad_norm": 0.024960225448012352, + "learning_rate": 0.0022673267326732676, + "loss": 0.7379, + "step": 431 + }, + { + "epoch": 0.9602667407613226, + "grad_norm": 0.01937321573495865, + "learning_rate": 0.002264851485148515, + "loss": 0.6909, + "step": 432 + }, + { + "epoch": 0.9624895804390108, + "grad_norm": 0.017059147357940674, + "learning_rate": 0.0022623762376237622, + "loss": 0.7239, + "step": 433 + }, + { + "epoch": 0.9647124201166991, + "grad_norm": 0.011201994493603706, + "learning_rate": 0.00225990099009901, + "loss": 0.5845, + "step": 434 + }, + { + "epoch": 0.9669352597943873, + "grad_norm": 0.01506833452731371, + "learning_rate": 0.0022574257425742577, + "loss": 0.7139, + "step": 435 + }, + { + "epoch": 0.9691580994720755, + "grad_norm": 0.017956897616386414, + "learning_rate": 0.002254950495049505, + "loss": 0.6997, + "step": 436 + }, + { + "epoch": 0.9713809391497639, + "grad_norm": 0.018598267808556557, + "learning_rate": 0.0022524752475247527, + "loss": 0.5882, + "step": 437 + }, + { + "epoch": 0.9736037788274521, + "grad_norm": 0.016982879489660263, + "learning_rate": 0.0022500000000000003, + "loss": 0.5976, + "step": 438 + }, + { + "epoch": 0.9758266185051403, + "grad_norm": 0.01876719854772091, + "learning_rate": 0.0022475247524752474, + "loss": 0.7, + "step": 439 + }, + { + "epoch": 0.9780494581828285, + "grad_norm": 0.020731210708618164, + "learning_rate": 0.0022450495049504953, + "loss": 0.705, + "step": 440 + }, + { + "epoch": 0.9802722978605168, + "grad_norm": 0.014992648735642433, + "learning_rate": 0.0022425742574257424, + "loss": 0.6393, + "step": 441 + }, + { + "epoch": 0.982495137538205, + "grad_norm": 0.012561212293803692, + "learning_rate": 0.00224009900990099, + "loss": 0.6634, + "step": 442 + }, + { + "epoch": 0.9847179772158933, + "grad_norm": 0.019787229597568512, + "learning_rate": 0.002237623762376238, + "loss": 0.6422, + "step": 443 + }, + { + "epoch": 0.9869408168935816, + "grad_norm": 0.015230356715619564, + "learning_rate": 0.002235148514851485, + "loss": 0.6319, + "step": 444 + }, + { + "epoch": 0.9891636565712698, + "grad_norm": 0.013144402764737606, + "learning_rate": 0.0022326732673267325, + "loss": 0.5625, + "step": 445 + }, + { + "epoch": 0.991386496248958, + "grad_norm": 0.010007484816014767, + "learning_rate": 0.0022301980198019804, + "loss": 0.5449, + "step": 446 + }, + { + "epoch": 0.9936093359266462, + "grad_norm": 0.014984616078436375, + "learning_rate": 0.0022277227722772275, + "loss": 0.7016, + "step": 447 + }, + { + "epoch": 0.9958321756043346, + "grad_norm": 0.014676968567073345, + "learning_rate": 0.002225247524752475, + "loss": 0.6125, + "step": 448 + }, + { + "epoch": 0.9980550152820228, + "grad_norm": 0.01267558429390192, + "learning_rate": 0.002222772277227723, + "loss": 0.6128, + "step": 449 + }, + { + "epoch": 1.000277854959711, + "grad_norm": 0.014883238822221756, + "learning_rate": 0.00222029702970297, + "loss": 0.6702, + "step": 450 + }, + { + "epoch": 1.0025006946373993, + "grad_norm": 0.020183809101581573, + "learning_rate": 0.0022178217821782176, + "loss": 0.7836, + "step": 451 + }, + { + "epoch": 1.0047235343150875, + "grad_norm": 0.018987402319908142, + "learning_rate": 0.0022153465346534656, + "loss": 0.6474, + "step": 452 + }, + { + "epoch": 1.0069463739927758, + "grad_norm": 0.013754444196820259, + "learning_rate": 0.0022128712871287127, + "loss": 0.5332, + "step": 453 + }, + { + "epoch": 1.009169213670464, + "grad_norm": 0.024167753756046295, + "learning_rate": 0.00221039603960396, + "loss": 0.6738, + "step": 454 + }, + { + "epoch": 1.0113920533481522, + "grad_norm": 0.013680294156074524, + "learning_rate": 0.002207920792079208, + "loss": 0.6034, + "step": 455 + }, + { + "epoch": 1.0136148930258404, + "grad_norm": 0.01513979583978653, + "learning_rate": 0.0022054455445544552, + "loss": 0.6736, + "step": 456 + }, + { + "epoch": 1.0158377327035288, + "grad_norm": 0.01789553090929985, + "learning_rate": 0.0022029702970297028, + "loss": 0.5954, + "step": 457 + }, + { + "epoch": 1.018060572381217, + "grad_norm": 0.01587206870317459, + "learning_rate": 0.0022004950495049507, + "loss": 0.6374, + "step": 458 + }, + { + "epoch": 1.0202834120589053, + "grad_norm": 0.013578852638602257, + "learning_rate": 0.002198019801980198, + "loss": 0.6105, + "step": 459 + }, + { + "epoch": 1.0225062517365935, + "grad_norm": 0.01525961235165596, + "learning_rate": 0.0021955445544554453, + "loss": 0.5187, + "step": 460 + }, + { + "epoch": 1.0247290914142817, + "grad_norm": 0.01209926512092352, + "learning_rate": 0.0021930693069306933, + "loss": 0.5858, + "step": 461 + }, + { + "epoch": 1.02695193109197, + "grad_norm": 0.013947585597634315, + "learning_rate": 0.0021905940594059404, + "loss": 0.7486, + "step": 462 + }, + { + "epoch": 1.0291747707696581, + "grad_norm": 0.013879354111850262, + "learning_rate": 0.002188118811881188, + "loss": 0.5767, + "step": 463 + }, + { + "epoch": 1.0313976104473466, + "grad_norm": 0.015864117071032524, + "learning_rate": 0.002185643564356436, + "loss": 0.5945, + "step": 464 + }, + { + "epoch": 1.0336204501250348, + "grad_norm": 0.012343275360763073, + "learning_rate": 0.002183168316831683, + "loss": 0.6243, + "step": 465 + }, + { + "epoch": 1.035843289802723, + "grad_norm": 0.011329158209264278, + "learning_rate": 0.002180693069306931, + "loss": 0.7206, + "step": 466 + }, + { + "epoch": 1.0380661294804112, + "grad_norm": 0.014862005598843098, + "learning_rate": 0.0021782178217821784, + "loss": 0.7483, + "step": 467 + }, + { + "epoch": 1.0402889691580994, + "grad_norm": 0.013391937129199505, + "learning_rate": 0.0021757425742574255, + "loss": 0.7626, + "step": 468 + }, + { + "epoch": 1.0425118088357876, + "grad_norm": 0.018975989893078804, + "learning_rate": 0.0021732673267326735, + "loss": 0.7409, + "step": 469 + }, + { + "epoch": 1.0447346485134759, + "grad_norm": 0.01241536159068346, + "learning_rate": 0.002170792079207921, + "loss": 0.753, + "step": 470 + }, + { + "epoch": 1.0469574881911643, + "grad_norm": 0.015430880710482597, + "learning_rate": 0.002168316831683168, + "loss": 0.776, + "step": 471 + }, + { + "epoch": 1.0491803278688525, + "grad_norm": 0.014778917655348778, + "learning_rate": 0.002165841584158416, + "loss": 0.7363, + "step": 472 + }, + { + "epoch": 1.0514031675465407, + "grad_norm": 0.016265999525785446, + "learning_rate": 0.0021633663366336636, + "loss": 0.6905, + "step": 473 + }, + { + "epoch": 1.053626007224229, + "grad_norm": 0.01429293118417263, + "learning_rate": 0.0021608910891089106, + "loss": 0.6937, + "step": 474 + }, + { + "epoch": 1.0558488469019172, + "grad_norm": 0.015557540580630302, + "learning_rate": 0.0021584158415841586, + "loss": 0.5898, + "step": 475 + }, + { + "epoch": 1.0580716865796054, + "grad_norm": 0.010969873517751694, + "learning_rate": 0.002155940594059406, + "loss": 0.6872, + "step": 476 + }, + { + "epoch": 1.0602945262572936, + "grad_norm": 0.02743585780262947, + "learning_rate": 0.002153465346534653, + "loss": 0.6932, + "step": 477 + }, + { + "epoch": 1.062517365934982, + "grad_norm": 0.018156539648771286, + "learning_rate": 0.002150990099009901, + "loss": 0.6349, + "step": 478 + }, + { + "epoch": 1.0647402056126702, + "grad_norm": 0.029770391061902046, + "learning_rate": 0.0021485148514851487, + "loss": 0.8011, + "step": 479 + }, + { + "epoch": 1.0669630452903585, + "grad_norm": 0.028706863522529602, + "learning_rate": 0.0021460396039603958, + "loss": 0.5518, + "step": 480 + }, + { + "epoch": 1.0691858849680467, + "grad_norm": 0.01390407606959343, + "learning_rate": 0.0021435643564356437, + "loss": 0.6653, + "step": 481 + }, + { + "epoch": 1.071408724645735, + "grad_norm": 0.02037845179438591, + "learning_rate": 0.0021410891089108913, + "loss": 0.7506, + "step": 482 + }, + { + "epoch": 1.073631564323423, + "grad_norm": 0.012380843982100487, + "learning_rate": 0.0021386138613861383, + "loss": 0.5933, + "step": 483 + }, + { + "epoch": 1.0758544040011113, + "grad_norm": 0.01470144558697939, + "learning_rate": 0.0021361386138613863, + "loss": 0.8263, + "step": 484 + }, + { + "epoch": 1.0780772436787998, + "grad_norm": 0.015167983248829842, + "learning_rate": 0.002133663366336634, + "loss": 0.7961, + "step": 485 + }, + { + "epoch": 1.080300083356488, + "grad_norm": 0.016553625464439392, + "learning_rate": 0.002131188118811881, + "loss": 0.6522, + "step": 486 + }, + { + "epoch": 1.0825229230341762, + "grad_norm": 0.029548676684498787, + "learning_rate": 0.002128712871287129, + "loss": 0.7258, + "step": 487 + }, + { + "epoch": 1.0847457627118644, + "grad_norm": 0.012250442057847977, + "learning_rate": 0.0021262376237623764, + "loss": 0.5983, + "step": 488 + }, + { + "epoch": 1.0869686023895526, + "grad_norm": 0.013489637523889542, + "learning_rate": 0.0021237623762376235, + "loss": 0.6837, + "step": 489 + }, + { + "epoch": 1.0891914420672408, + "grad_norm": 0.01595526933670044, + "learning_rate": 0.0021212871287128714, + "loss": 0.6818, + "step": 490 + }, + { + "epoch": 1.091414281744929, + "grad_norm": 0.020508253946900368, + "learning_rate": 0.002118811881188119, + "loss": 0.6479, + "step": 491 + }, + { + "epoch": 1.0936371214226175, + "grad_norm": 0.01163517590612173, + "learning_rate": 0.002116336633663366, + "loss": 0.5976, + "step": 492 + }, + { + "epoch": 1.0958599611003057, + "grad_norm": 0.015765825286507607, + "learning_rate": 0.002113861386138614, + "loss": 0.6612, + "step": 493 + }, + { + "epoch": 1.098082800777994, + "grad_norm": 0.018122674897313118, + "learning_rate": 0.0021113861386138615, + "loss": 0.6547, + "step": 494 + }, + { + "epoch": 1.1003056404556821, + "grad_norm": 0.011971593834459782, + "learning_rate": 0.0021089108910891086, + "loss": 0.5676, + "step": 495 + }, + { + "epoch": 1.1025284801333703, + "grad_norm": 0.01705964468419552, + "learning_rate": 0.0021064356435643566, + "loss": 0.6342, + "step": 496 + }, + { + "epoch": 1.1047513198110586, + "grad_norm": 0.018494384363293648, + "learning_rate": 0.002103960396039604, + "loss": 0.7893, + "step": 497 + }, + { + "epoch": 1.1069741594887468, + "grad_norm": 0.015471387654542923, + "learning_rate": 0.002101485148514851, + "loss": 0.5907, + "step": 498 + }, + { + "epoch": 1.1091969991664352, + "grad_norm": 0.013633133843541145, + "learning_rate": 0.002099009900990099, + "loss": 0.7585, + "step": 499 + }, + { + "epoch": 1.1114198388441234, + "grad_norm": 0.013887847773730755, + "learning_rate": 0.0020965346534653467, + "loss": 0.6958, + "step": 500 + }, + { + "epoch": 1.1136426785218116, + "grad_norm": 0.015942484140396118, + "learning_rate": 0.0020940594059405938, + "loss": 0.7464, + "step": 501 + }, + { + "epoch": 1.1158655181994999, + "grad_norm": 0.01781686581671238, + "learning_rate": 0.0020915841584158417, + "loss": 0.5278, + "step": 502 + }, + { + "epoch": 1.118088357877188, + "grad_norm": 0.017188075929880142, + "learning_rate": 0.0020891089108910892, + "loss": 0.6229, + "step": 503 + }, + { + "epoch": 1.1203111975548763, + "grad_norm": 0.01655665598809719, + "learning_rate": 0.0020866336633663363, + "loss": 0.6761, + "step": 504 + }, + { + "epoch": 1.1225340372325645, + "grad_norm": 0.01681992970407009, + "learning_rate": 0.0020841584158415843, + "loss": 0.6118, + "step": 505 + }, + { + "epoch": 1.124756876910253, + "grad_norm": 0.021237896755337715, + "learning_rate": 0.002081683168316832, + "loss": 0.8598, + "step": 506 + }, + { + "epoch": 1.1269797165879412, + "grad_norm": 0.012300066649913788, + "learning_rate": 0.002079207920792079, + "loss": 0.5905, + "step": 507 + }, + { + "epoch": 1.1292025562656294, + "grad_norm": 0.018155410885810852, + "learning_rate": 0.002076732673267327, + "loss": 0.6204, + "step": 508 + }, + { + "epoch": 1.1314253959433176, + "grad_norm": 0.011526006273925304, + "learning_rate": 0.0020742574257425744, + "loss": 0.666, + "step": 509 + }, + { + "epoch": 1.1336482356210058, + "grad_norm": 0.014204266481101513, + "learning_rate": 0.0020717821782178215, + "loss": 0.6174, + "step": 510 + }, + { + "epoch": 1.135871075298694, + "grad_norm": 0.015811122953891754, + "learning_rate": 0.0020693069306930694, + "loss": 0.6967, + "step": 511 + }, + { + "epoch": 1.1380939149763822, + "grad_norm": 0.014839411713182926, + "learning_rate": 0.002066831683168317, + "loss": 0.5885, + "step": 512 + }, + { + "epoch": 1.1403167546540707, + "grad_norm": 0.015573407523334026, + "learning_rate": 0.002064356435643564, + "loss": 0.6261, + "step": 513 + }, + { + "epoch": 1.142539594331759, + "grad_norm": 0.01776973530650139, + "learning_rate": 0.002061881188118812, + "loss": 0.8348, + "step": 514 + }, + { + "epoch": 1.144762434009447, + "grad_norm": 0.02191152609884739, + "learning_rate": 0.0020594059405940595, + "loss": 0.6325, + "step": 515 + }, + { + "epoch": 1.1469852736871353, + "grad_norm": 0.03398964926600456, + "learning_rate": 0.002056930693069307, + "loss": 0.784, + "step": 516 + }, + { + "epoch": 1.1492081133648235, + "grad_norm": 0.01424696296453476, + "learning_rate": 0.0020544554455445545, + "loss": 0.7358, + "step": 517 + }, + { + "epoch": 1.1514309530425118, + "grad_norm": 0.013430099934339523, + "learning_rate": 0.002051980198019802, + "loss": 0.6242, + "step": 518 + }, + { + "epoch": 1.1536537927202, + "grad_norm": 0.010374044068157673, + "learning_rate": 0.0020495049504950496, + "loss": 0.5702, + "step": 519 + }, + { + "epoch": 1.1558766323978884, + "grad_norm": 0.0130368173122406, + "learning_rate": 0.002047029702970297, + "loss": 0.6321, + "step": 520 + }, + { + "epoch": 1.1580994720755766, + "grad_norm": 0.016580238938331604, + "learning_rate": 0.0020445544554455446, + "loss": 0.7411, + "step": 521 + }, + { + "epoch": 1.1603223117532648, + "grad_norm": 0.015030154958367348, + "learning_rate": 0.002042079207920792, + "loss": 0.572, + "step": 522 + }, + { + "epoch": 1.162545151430953, + "grad_norm": 0.014109233394265175, + "learning_rate": 0.0020396039603960397, + "loss": 0.7282, + "step": 523 + }, + { + "epoch": 1.1647679911086413, + "grad_norm": 0.019948862493038177, + "learning_rate": 0.002037128712871287, + "loss": 0.8526, + "step": 524 + }, + { + "epoch": 1.1669908307863295, + "grad_norm": 0.03067428059875965, + "learning_rate": 0.0020346534653465347, + "loss": 0.77, + "step": 525 + }, + { + "epoch": 1.1692136704640177, + "grad_norm": 0.014951253309845924, + "learning_rate": 0.0020321782178217822, + "loss": 0.5926, + "step": 526 + }, + { + "epoch": 1.1714365101417061, + "grad_norm": 0.020071959123015404, + "learning_rate": 0.0020297029702970298, + "loss": 0.6401, + "step": 527 + }, + { + "epoch": 1.1736593498193943, + "grad_norm": 0.013084011152386665, + "learning_rate": 0.0020272277227722773, + "loss": 0.5778, + "step": 528 + }, + { + "epoch": 1.1758821894970826, + "grad_norm": 0.012277776375412941, + "learning_rate": 0.002024752475247525, + "loss": 0.6096, + "step": 529 + }, + { + "epoch": 1.1781050291747708, + "grad_norm": 0.012979078106582165, + "learning_rate": 0.0020222772277227723, + "loss": 0.5634, + "step": 530 + }, + { + "epoch": 1.180327868852459, + "grad_norm": 0.015513453632593155, + "learning_rate": 0.00201980198019802, + "loss": 0.5527, + "step": 531 + }, + { + "epoch": 1.1825507085301472, + "grad_norm": 0.020396575331687927, + "learning_rate": 0.0020173267326732674, + "loss": 0.9307, + "step": 532 + }, + { + "epoch": 1.1847735482078354, + "grad_norm": 0.018580187112092972, + "learning_rate": 0.002014851485148515, + "loss": 0.6786, + "step": 533 + }, + { + "epoch": 1.1869963878855239, + "grad_norm": 0.015678012743592262, + "learning_rate": 0.0020123762376237624, + "loss": 0.5932, + "step": 534 + }, + { + "epoch": 1.189219227563212, + "grad_norm": 0.01222003810107708, + "learning_rate": 0.00200990099009901, + "loss": 0.5452, + "step": 535 + }, + { + "epoch": 1.1914420672409003, + "grad_norm": 0.0165384691208601, + "learning_rate": 0.0020074257425742575, + "loss": 0.655, + "step": 536 + }, + { + "epoch": 1.1936649069185885, + "grad_norm": 0.01701522432267666, + "learning_rate": 0.002004950495049505, + "loss": 0.512, + "step": 537 + }, + { + "epoch": 1.1958877465962767, + "grad_norm": 0.014413165859878063, + "learning_rate": 0.0020024752475247525, + "loss": 0.6258, + "step": 538 + }, + { + "epoch": 1.198110586273965, + "grad_norm": 0.011610453017055988, + "learning_rate": 0.002, + "loss": 0.6445, + "step": 539 + }, + { + "epoch": 1.2003334259516532, + "grad_norm": 0.016592789441347122, + "learning_rate": 0.0019975247524752476, + "loss": 0.7951, + "step": 540 + }, + { + "epoch": 1.2025562656293416, + "grad_norm": 0.018560299649834633, + "learning_rate": 0.001995049504950495, + "loss": 0.6788, + "step": 541 + }, + { + "epoch": 1.2047791053070298, + "grad_norm": 0.0228038989007473, + "learning_rate": 0.0019925742574257426, + "loss": 0.7306, + "step": 542 + }, + { + "epoch": 1.207001944984718, + "grad_norm": 0.013510987162590027, + "learning_rate": 0.00199009900990099, + "loss": 0.5083, + "step": 543 + }, + { + "epoch": 1.2092247846624062, + "grad_norm": 0.018051352351903915, + "learning_rate": 0.0019876237623762377, + "loss": 0.6776, + "step": 544 + }, + { + "epoch": 1.2114476243400945, + "grad_norm": 0.01775428093969822, + "learning_rate": 0.001985148514851485, + "loss": 0.702, + "step": 545 + }, + { + "epoch": 1.2136704640177827, + "grad_norm": 0.013823853805661201, + "learning_rate": 0.0019826732673267327, + "loss": 0.6253, + "step": 546 + }, + { + "epoch": 1.2158933036954709, + "grad_norm": 0.019051026552915573, + "learning_rate": 0.0019801980198019802, + "loss": 0.5959, + "step": 547 + }, + { + "epoch": 1.2181161433731593, + "grad_norm": 0.014647615142166615, + "learning_rate": 0.0019777227722772277, + "loss": 0.4997, + "step": 548 + }, + { + "epoch": 1.2203389830508475, + "grad_norm": 0.019500313326716423, + "learning_rate": 0.0019752475247524753, + "loss": 0.6763, + "step": 549 + }, + { + "epoch": 1.2225618227285358, + "grad_norm": 0.018273385241627693, + "learning_rate": 0.001972772277227723, + "loss": 0.5713, + "step": 550 + }, + { + "epoch": 1.224784662406224, + "grad_norm": 0.01844954676926136, + "learning_rate": 0.0019702970297029703, + "loss": 0.6973, + "step": 551 + }, + { + "epoch": 1.2270075020839122, + "grad_norm": 0.013612812384963036, + "learning_rate": 0.001967821782178218, + "loss": 0.53, + "step": 552 + }, + { + "epoch": 1.2292303417616004, + "grad_norm": 0.018429776653647423, + "learning_rate": 0.0019653465346534654, + "loss": 0.6369, + "step": 553 + }, + { + "epoch": 1.2314531814392886, + "grad_norm": 0.018885424360632896, + "learning_rate": 0.001962871287128713, + "loss": 0.7193, + "step": 554 + }, + { + "epoch": 1.233676021116977, + "grad_norm": 0.019281677901744843, + "learning_rate": 0.0019603960396039604, + "loss": 0.6858, + "step": 555 + }, + { + "epoch": 1.2358988607946653, + "grad_norm": 0.01671980880200863, + "learning_rate": 0.001957920792079208, + "loss": 0.708, + "step": 556 + }, + { + "epoch": 1.2381217004723535, + "grad_norm": 0.015330369584262371, + "learning_rate": 0.0019554455445544554, + "loss": 0.6055, + "step": 557 + }, + { + "epoch": 1.2403445401500417, + "grad_norm": 0.015489472076296806, + "learning_rate": 0.0019529702970297032, + "loss": 0.6312, + "step": 558 + }, + { + "epoch": 1.24256737982773, + "grad_norm": 0.01861627586185932, + "learning_rate": 0.0019504950495049505, + "loss": 0.6892, + "step": 559 + }, + { + "epoch": 1.2447902195054181, + "grad_norm": 0.01912919245660305, + "learning_rate": 0.0019480198019801978, + "loss": 0.5856, + "step": 560 + }, + { + "epoch": 1.2470130591831063, + "grad_norm": 0.01634219102561474, + "learning_rate": 0.0019455445544554458, + "loss": 0.7168, + "step": 561 + }, + { + "epoch": 1.2492358988607948, + "grad_norm": 0.01822001487016678, + "learning_rate": 0.001943069306930693, + "loss": 0.5872, + "step": 562 + }, + { + "epoch": 1.2514587385384828, + "grad_norm": 0.01985522173345089, + "learning_rate": 0.0019405940594059404, + "loss": 0.6333, + "step": 563 + }, + { + "epoch": 1.2536815782161712, + "grad_norm": 0.016396082937717438, + "learning_rate": 0.0019381188118811883, + "loss": 0.7005, + "step": 564 + }, + { + "epoch": 1.2559044178938594, + "grad_norm": 0.012350345961749554, + "learning_rate": 0.0019356435643564356, + "loss": 0.6913, + "step": 565 + }, + { + "epoch": 1.2581272575715476, + "grad_norm": 0.01816396601498127, + "learning_rate": 0.0019331683168316834, + "loss": 0.5174, + "step": 566 + }, + { + "epoch": 1.2603500972492359, + "grad_norm": 0.01564900204539299, + "learning_rate": 0.0019306930693069309, + "loss": 0.6686, + "step": 567 + }, + { + "epoch": 1.262572936926924, + "grad_norm": 0.014737764373421669, + "learning_rate": 0.0019282178217821782, + "loss": 0.5977, + "step": 568 + }, + { + "epoch": 1.2647957766046125, + "grad_norm": 0.02006666548550129, + "learning_rate": 0.001925742574257426, + "loss": 0.6276, + "step": 569 + }, + { + "epoch": 1.2670186162823005, + "grad_norm": 0.013658919371664524, + "learning_rate": 0.0019232673267326735, + "loss": 0.5861, + "step": 570 + }, + { + "epoch": 1.269241455959989, + "grad_norm": 0.011005178093910217, + "learning_rate": 0.0019207920792079208, + "loss": 0.8343, + "step": 571 + }, + { + "epoch": 1.2714642956376772, + "grad_norm": 0.016614580526947975, + "learning_rate": 0.0019183168316831685, + "loss": 0.7405, + "step": 572 + }, + { + "epoch": 1.2736871353153654, + "grad_norm": 0.013580153696238995, + "learning_rate": 0.001915841584158416, + "loss": 0.5955, + "step": 573 + }, + { + "epoch": 1.2759099749930536, + "grad_norm": 0.01571527309715748, + "learning_rate": 0.0019133663366336633, + "loss": 0.5994, + "step": 574 + }, + { + "epoch": 1.2781328146707418, + "grad_norm": 0.01320920791476965, + "learning_rate": 0.001910891089108911, + "loss": 0.5398, + "step": 575 + }, + { + "epoch": 1.2803556543484302, + "grad_norm": 0.02257618121802807, + "learning_rate": 0.0019084158415841586, + "loss": 0.6662, + "step": 576 + }, + { + "epoch": 1.2825784940261182, + "grad_norm": 0.020821325480937958, + "learning_rate": 0.001905940594059406, + "loss": 0.6462, + "step": 577 + }, + { + "epoch": 1.2848013337038067, + "grad_norm": 0.01534060388803482, + "learning_rate": 0.0019034653465346536, + "loss": 0.6875, + "step": 578 + }, + { + "epoch": 1.2870241733814949, + "grad_norm": 0.01106045302003622, + "learning_rate": 0.0019009900990099012, + "loss": 0.6197, + "step": 579 + }, + { + "epoch": 1.289247013059183, + "grad_norm": 0.023773077875375748, + "learning_rate": 0.0018985148514851485, + "loss": 0.6881, + "step": 580 + }, + { + "epoch": 1.2914698527368713, + "grad_norm": 0.014630904421210289, + "learning_rate": 0.0018960396039603962, + "loss": 0.8041, + "step": 581 + }, + { + "epoch": 1.2936926924145595, + "grad_norm": 0.021165568381547928, + "learning_rate": 0.0018935643564356437, + "loss": 0.7045, + "step": 582 + }, + { + "epoch": 1.295915532092248, + "grad_norm": 0.015476713888347149, + "learning_rate": 0.001891089108910891, + "loss": 0.5461, + "step": 583 + }, + { + "epoch": 1.298138371769936, + "grad_norm": 0.013936633244156837, + "learning_rate": 0.0018886138613861388, + "loss": 0.6052, + "step": 584 + }, + { + "epoch": 1.3003612114476244, + "grad_norm": 0.014164215885102749, + "learning_rate": 0.0018861386138613863, + "loss": 0.8044, + "step": 585 + }, + { + "epoch": 1.3025840511253126, + "grad_norm": 0.014623990282416344, + "learning_rate": 0.0018836633663366336, + "loss": 0.6213, + "step": 586 + }, + { + "epoch": 1.3048068908030008, + "grad_norm": 0.015673892572522163, + "learning_rate": 0.0018811881188118813, + "loss": 0.7006, + "step": 587 + }, + { + "epoch": 1.307029730480689, + "grad_norm": 0.020650116726756096, + "learning_rate": 0.0018787128712871289, + "loss": 0.6096, + "step": 588 + }, + { + "epoch": 1.3092525701583773, + "grad_norm": 0.019570233300328255, + "learning_rate": 0.0018762376237623762, + "loss": 0.7876, + "step": 589 + }, + { + "epoch": 1.3114754098360657, + "grad_norm": 0.024105733260512352, + "learning_rate": 0.001873762376237624, + "loss": 0.6646, + "step": 590 + }, + { + "epoch": 1.3136982495137537, + "grad_norm": 0.014969500713050365, + "learning_rate": 0.0018712871287128712, + "loss": 0.5828, + "step": 591 + }, + { + "epoch": 1.3159210891914421, + "grad_norm": 0.012277282774448395, + "learning_rate": 0.0018688118811881187, + "loss": 0.5273, + "step": 592 + }, + { + "epoch": 1.3181439288691303, + "grad_norm": 0.013523784466087818, + "learning_rate": 0.0018663366336633665, + "loss": 0.6394, + "step": 593 + }, + { + "epoch": 1.3203667685468186, + "grad_norm": 0.022080164402723312, + "learning_rate": 0.0018638613861386138, + "loss": 0.7142, + "step": 594 + }, + { + "epoch": 1.3225896082245068, + "grad_norm": 0.014192742295563221, + "learning_rate": 0.0018613861386138613, + "loss": 0.56, + "step": 595 + }, + { + "epoch": 1.324812447902195, + "grad_norm": 0.018689125776290894, + "learning_rate": 0.001858910891089109, + "loss": 0.6791, + "step": 596 + }, + { + "epoch": 1.3270352875798834, + "grad_norm": 0.01835326850414276, + "learning_rate": 0.0018564356435643563, + "loss": 0.6733, + "step": 597 + }, + { + "epoch": 1.3292581272575714, + "grad_norm": 0.022089499980211258, + "learning_rate": 0.0018539603960396039, + "loss": 0.6607, + "step": 598 + }, + { + "epoch": 1.3314809669352599, + "grad_norm": 0.011036070995032787, + "learning_rate": 0.0018514851485148516, + "loss": 0.5217, + "step": 599 + }, + { + "epoch": 1.333703806612948, + "grad_norm": 0.018533801659941673, + "learning_rate": 0.001849009900990099, + "loss": 0.7096, + "step": 600 + }, + { + "epoch": 1.3359266462906363, + "grad_norm": 0.017293326556682587, + "learning_rate": 0.0018465346534653464, + "loss": 0.6189, + "step": 601 + }, + { + "epoch": 1.3381494859683245, + "grad_norm": 0.01351864356547594, + "learning_rate": 0.0018440594059405942, + "loss": 0.7259, + "step": 602 + }, + { + "epoch": 1.3403723256460127, + "grad_norm": 0.018879210576415062, + "learning_rate": 0.0018415841584158415, + "loss": 0.5974, + "step": 603 + }, + { + "epoch": 1.3425951653237012, + "grad_norm": 0.023037323728203773, + "learning_rate": 0.001839108910891089, + "loss": 0.6754, + "step": 604 + }, + { + "epoch": 1.3448180050013891, + "grad_norm": 0.017983853816986084, + "learning_rate": 0.0018366336633663367, + "loss": 0.7237, + "step": 605 + }, + { + "epoch": 1.3470408446790776, + "grad_norm": 0.01909794472157955, + "learning_rate": 0.001834158415841584, + "loss": 0.7222, + "step": 606 + }, + { + "epoch": 1.3492636843567658, + "grad_norm": 0.014953205361962318, + "learning_rate": 0.0018316831683168316, + "loss": 0.6433, + "step": 607 + }, + { + "epoch": 1.351486524034454, + "grad_norm": 0.015649525448679924, + "learning_rate": 0.0018292079207920793, + "loss": 0.7764, + "step": 608 + }, + { + "epoch": 1.3537093637121422, + "grad_norm": 0.017241261899471283, + "learning_rate": 0.0018267326732673266, + "loss": 0.6004, + "step": 609 + }, + { + "epoch": 1.3559322033898304, + "grad_norm": 0.016156010329723358, + "learning_rate": 0.0018242574257425741, + "loss": 0.6187, + "step": 610 + }, + { + "epoch": 1.3581550430675189, + "grad_norm": 0.017765775322914124, + "learning_rate": 0.0018217821782178219, + "loss": 0.7092, + "step": 611 + }, + { + "epoch": 1.3603778827452069, + "grad_norm": 0.01482133287936449, + "learning_rate": 0.0018193069306930692, + "loss": 0.6921, + "step": 612 + }, + { + "epoch": 1.3626007224228953, + "grad_norm": 0.0338587686419487, + "learning_rate": 0.0018168316831683167, + "loss": 0.8791, + "step": 613 + }, + { + "epoch": 1.3648235621005835, + "grad_norm": 0.01598595455288887, + "learning_rate": 0.0018143564356435645, + "loss": 0.6677, + "step": 614 + }, + { + "epoch": 1.3670464017782717, + "grad_norm": 0.020157670602202415, + "learning_rate": 0.0018118811881188118, + "loss": 0.6577, + "step": 615 + }, + { + "epoch": 1.36926924145596, + "grad_norm": 0.017931604757905006, + "learning_rate": 0.0018094059405940597, + "loss": 0.5995, + "step": 616 + }, + { + "epoch": 1.3714920811336482, + "grad_norm": 0.015047606080770493, + "learning_rate": 0.001806930693069307, + "loss": 0.5683, + "step": 617 + }, + { + "epoch": 1.3737149208113366, + "grad_norm": 0.01254578959196806, + "learning_rate": 0.0018044554455445543, + "loss": 0.5574, + "step": 618 + }, + { + "epoch": 1.3759377604890246, + "grad_norm": 0.0250204186886549, + "learning_rate": 0.0018019801980198023, + "loss": 0.7746, + "step": 619 + }, + { + "epoch": 1.378160600166713, + "grad_norm": 0.0146646061912179, + "learning_rate": 0.0017995049504950496, + "loss": 0.5632, + "step": 620 + }, + { + "epoch": 1.3803834398444013, + "grad_norm": 0.019512226805090904, + "learning_rate": 0.0017970297029702969, + "loss": 0.6738, + "step": 621 + }, + { + "epoch": 1.3826062795220895, + "grad_norm": 0.013420785777270794, + "learning_rate": 0.0017945544554455448, + "loss": 0.6316, + "step": 622 + }, + { + "epoch": 1.3848291191997777, + "grad_norm": 0.023486951366066933, + "learning_rate": 0.0017920792079207922, + "loss": 0.5786, + "step": 623 + }, + { + "epoch": 1.387051958877466, + "grad_norm": 0.013036476448178291, + "learning_rate": 0.0017896039603960395, + "loss": 0.5637, + "step": 624 + }, + { + "epoch": 1.3892747985551543, + "grad_norm": 0.016444619745016098, + "learning_rate": 0.0017871287128712874, + "loss": 0.5816, + "step": 625 + }, + { + "epoch": 1.3914976382328423, + "grad_norm": 0.012313454411923885, + "learning_rate": 0.0017846534653465347, + "loss": 0.6912, + "step": 626 + }, + { + "epoch": 1.3937204779105308, + "grad_norm": 0.029828950762748718, + "learning_rate": 0.001782178217821782, + "loss": 0.5757, + "step": 627 + }, + { + "epoch": 1.395943317588219, + "grad_norm": 0.019931312650442123, + "learning_rate": 0.00177970297029703, + "loss": 0.833, + "step": 628 + }, + { + "epoch": 1.3981661572659072, + "grad_norm": 0.023598700761795044, + "learning_rate": 0.0017772277227722773, + "loss": 0.7982, + "step": 629 + }, + { + "epoch": 1.4003889969435954, + "grad_norm": 0.013721930794417858, + "learning_rate": 0.0017747524752475246, + "loss": 0.5859, + "step": 630 + }, + { + "epoch": 1.4026118366212836, + "grad_norm": 0.013073272071778774, + "learning_rate": 0.0017722772277227726, + "loss": 0.6802, + "step": 631 + }, + { + "epoch": 1.404834676298972, + "grad_norm": 0.015466667711734772, + "learning_rate": 0.0017698019801980199, + "loss": 0.6876, + "step": 632 + }, + { + "epoch": 1.40705751597666, + "grad_norm": 0.013860577717423439, + "learning_rate": 0.0017673267326732672, + "loss": 0.6569, + "step": 633 + }, + { + "epoch": 1.4092803556543485, + "grad_norm": 0.01486227661371231, + "learning_rate": 0.0017648514851485151, + "loss": 0.6061, + "step": 634 + }, + { + "epoch": 1.4115031953320367, + "grad_norm": 0.014290432445704937, + "learning_rate": 0.0017623762376237624, + "loss": 0.7512, + "step": 635 + }, + { + "epoch": 1.413726035009725, + "grad_norm": 0.014747899025678635, + "learning_rate": 0.0017599009900990097, + "loss": 0.6048, + "step": 636 + }, + { + "epoch": 1.4159488746874132, + "grad_norm": 0.02269178442656994, + "learning_rate": 0.0017574257425742577, + "loss": 0.5836, + "step": 637 + }, + { + "epoch": 1.4181717143651014, + "grad_norm": 0.019799571484327316, + "learning_rate": 0.001754950495049505, + "loss": 0.7016, + "step": 638 + }, + { + "epoch": 1.4203945540427896, + "grad_norm": 0.014343987219035625, + "learning_rate": 0.0017524752475247523, + "loss": 0.62, + "step": 639 + }, + { + "epoch": 1.4226173937204778, + "grad_norm": 0.01983143761754036, + "learning_rate": 0.0017500000000000003, + "loss": 0.5534, + "step": 640 + }, + { + "epoch": 1.4248402333981662, + "grad_norm": 0.012549810111522675, + "learning_rate": 0.0017475247524752476, + "loss": 0.6738, + "step": 641 + }, + { + "epoch": 1.4270630730758544, + "grad_norm": 0.019573699682950974, + "learning_rate": 0.0017450495049504949, + "loss": 0.6609, + "step": 642 + }, + { + "epoch": 1.4292859127535427, + "grad_norm": 0.017040664330124855, + "learning_rate": 0.0017425742574257428, + "loss": 0.5657, + "step": 643 + }, + { + "epoch": 1.4315087524312309, + "grad_norm": 0.021280160173773766, + "learning_rate": 0.0017400990099009901, + "loss": 0.7476, + "step": 644 + }, + { + "epoch": 1.433731592108919, + "grad_norm": 0.01822512224316597, + "learning_rate": 0.0017376237623762374, + "loss": 0.566, + "step": 645 + }, + { + "epoch": 1.4359544317866073, + "grad_norm": 0.015408231876790524, + "learning_rate": 0.0017351485148514854, + "loss": 0.6393, + "step": 646 + }, + { + "epoch": 1.4381772714642955, + "grad_norm": 0.012197799980640411, + "learning_rate": 0.0017326732673267327, + "loss": 0.6905, + "step": 647 + }, + { + "epoch": 1.440400111141984, + "grad_norm": 0.014727549627423286, + "learning_rate": 0.00173019801980198, + "loss": 0.6197, + "step": 648 + }, + { + "epoch": 1.4426229508196722, + "grad_norm": 0.021275896579027176, + "learning_rate": 0.001727722772277228, + "loss": 0.7485, + "step": 649 + }, + { + "epoch": 1.4448457904973604, + "grad_norm": 0.012766880914568901, + "learning_rate": 0.0017252475247524753, + "loss": 0.6318, + "step": 650 + }, + { + "epoch": 1.4470686301750486, + "grad_norm": 0.020205190405249596, + "learning_rate": 0.0017227722772277226, + "loss": 0.5067, + "step": 651 + }, + { + "epoch": 1.4492914698527368, + "grad_norm": 0.014094137586653233, + "learning_rate": 0.0017202970297029705, + "loss": 0.6953, + "step": 652 + }, + { + "epoch": 1.451514309530425, + "grad_norm": 0.015574413351714611, + "learning_rate": 0.0017178217821782178, + "loss": 0.5785, + "step": 653 + }, + { + "epoch": 1.4537371492081133, + "grad_norm": 0.01962168887257576, + "learning_rate": 0.0017153465346534651, + "loss": 0.5311, + "step": 654 + }, + { + "epoch": 1.4559599888858017, + "grad_norm": 0.014445985667407513, + "learning_rate": 0.001712871287128713, + "loss": 0.5768, + "step": 655 + }, + { + "epoch": 1.45818282856349, + "grad_norm": 0.013283908367156982, + "learning_rate": 0.0017103960396039604, + "loss": 0.6906, + "step": 656 + }, + { + "epoch": 1.4604056682411781, + "grad_norm": 0.014568808488547802, + "learning_rate": 0.0017079207920792077, + "loss": 0.5427, + "step": 657 + }, + { + "epoch": 1.4626285079188663, + "grad_norm": 0.01634564995765686, + "learning_rate": 0.0017054455445544557, + "loss": 0.7341, + "step": 658 + }, + { + "epoch": 1.4648513475965546, + "grad_norm": 0.015426786616444588, + "learning_rate": 0.001702970297029703, + "loss": 0.6963, + "step": 659 + }, + { + "epoch": 1.4670741872742428, + "grad_norm": 0.017544064670801163, + "learning_rate": 0.0017004950495049503, + "loss": 0.7626, + "step": 660 + }, + { + "epoch": 1.469297026951931, + "grad_norm": 0.017237959429621696, + "learning_rate": 0.0016980198019801982, + "loss": 0.5935, + "step": 661 + }, + { + "epoch": 1.4715198666296194, + "grad_norm": 0.019028373062610626, + "learning_rate": 0.0016955445544554455, + "loss": 0.6749, + "step": 662 + }, + { + "epoch": 1.4737427063073076, + "grad_norm": 0.012185648083686829, + "learning_rate": 0.0016930693069306928, + "loss": 0.6386, + "step": 663 + }, + { + "epoch": 1.4759655459849959, + "grad_norm": 0.01708870567381382, + "learning_rate": 0.0016905940594059408, + "loss": 0.691, + "step": 664 + }, + { + "epoch": 1.478188385662684, + "grad_norm": 0.013403747230768204, + "learning_rate": 0.001688118811881188, + "loss": 0.6614, + "step": 665 + }, + { + "epoch": 1.4804112253403723, + "grad_norm": 0.021224593743681908, + "learning_rate": 0.0016856435643564358, + "loss": 0.7882, + "step": 666 + }, + { + "epoch": 1.4826340650180605, + "grad_norm": 0.07430857419967651, + "learning_rate": 0.0016831683168316834, + "loss": 0.8449, + "step": 667 + }, + { + "epoch": 1.4848569046957487, + "grad_norm": 0.01444665901362896, + "learning_rate": 0.0016806930693069307, + "loss": 0.5309, + "step": 668 + }, + { + "epoch": 1.4870797443734372, + "grad_norm": 0.014784655533730984, + "learning_rate": 0.0016782178217821784, + "loss": 0.6546, + "step": 669 + }, + { + "epoch": 1.4893025840511254, + "grad_norm": 0.02172185480594635, + "learning_rate": 0.001675742574257426, + "loss": 0.673, + "step": 670 + }, + { + "epoch": 1.4915254237288136, + "grad_norm": 0.010736542753875256, + "learning_rate": 0.0016732673267326732, + "loss": 0.5521, + "step": 671 + }, + { + "epoch": 1.4937482634065018, + "grad_norm": 0.013517359271645546, + "learning_rate": 0.001670792079207921, + "loss": 0.6336, + "step": 672 + }, + { + "epoch": 1.49597110308419, + "grad_norm": 0.021300826221704483, + "learning_rate": 0.0016683168316831685, + "loss": 0.6419, + "step": 673 + }, + { + "epoch": 1.4981939427618782, + "grad_norm": 0.019188571721315384, + "learning_rate": 0.0016658415841584158, + "loss": 0.6618, + "step": 674 + }, + { + "epoch": 1.5004167824395664, + "grad_norm": 0.0127353984862566, + "learning_rate": 0.0016633663366336635, + "loss": 0.6328, + "step": 675 + }, + { + "epoch": 1.5026396221172549, + "grad_norm": 0.012695038691163063, + "learning_rate": 0.001660891089108911, + "loss": 0.5579, + "step": 676 + }, + { + "epoch": 1.5048624617949429, + "grad_norm": 0.02976105734705925, + "learning_rate": 0.0016584158415841584, + "loss": 0.8424, + "step": 677 + }, + { + "epoch": 1.5070853014726313, + "grad_norm": 0.016801824793219566, + "learning_rate": 0.0016559405940594061, + "loss": 0.5539, + "step": 678 + }, + { + "epoch": 1.5093081411503195, + "grad_norm": 0.021268382668495178, + "learning_rate": 0.0016534653465346536, + "loss": 0.7329, + "step": 679 + }, + { + "epoch": 1.5115309808280077, + "grad_norm": 0.014745811931788921, + "learning_rate": 0.001650990099009901, + "loss": 0.6433, + "step": 680 + }, + { + "epoch": 1.5137538205056962, + "grad_norm": 0.018007369711995125, + "learning_rate": 0.0016485148514851487, + "loss": 0.5846, + "step": 681 + }, + { + "epoch": 1.5159766601833842, + "grad_norm": 0.014517346397042274, + "learning_rate": 0.0016460396039603962, + "loss": 0.6494, + "step": 682 + }, + { + "epoch": 1.5181994998610726, + "grad_norm": 0.011836903169751167, + "learning_rate": 0.0016435643564356435, + "loss": 0.6144, + "step": 683 + }, + { + "epoch": 1.5204223395387606, + "grad_norm": 0.015668461099267006, + "learning_rate": 0.0016410891089108912, + "loss": 0.697, + "step": 684 + }, + { + "epoch": 1.522645179216449, + "grad_norm": 0.0159301720559597, + "learning_rate": 0.0016386138613861388, + "loss": 0.6344, + "step": 685 + }, + { + "epoch": 1.5248680188941373, + "grad_norm": 0.021761801093816757, + "learning_rate": 0.001636138613861386, + "loss": 0.7244, + "step": 686 + }, + { + "epoch": 1.5270908585718255, + "grad_norm": 0.017973683774471283, + "learning_rate": 0.0016336633663366338, + "loss": 0.6616, + "step": 687 + }, + { + "epoch": 1.529313698249514, + "grad_norm": 0.03193248063325882, + "learning_rate": 0.0016311881188118813, + "loss": 0.5955, + "step": 688 + }, + { + "epoch": 1.531536537927202, + "grad_norm": 0.022393716499209404, + "learning_rate": 0.0016287128712871286, + "loss": 0.6299, + "step": 689 + }, + { + "epoch": 1.5337593776048903, + "grad_norm": 0.022320229560136795, + "learning_rate": 0.0016262376237623764, + "loss": 0.7729, + "step": 690 + }, + { + "epoch": 1.5359822172825783, + "grad_norm": 0.014977824874222279, + "learning_rate": 0.0016237623762376237, + "loss": 0.6697, + "step": 691 + }, + { + "epoch": 1.5382050569602668, + "grad_norm": 0.01872638612985611, + "learning_rate": 0.0016212871287128712, + "loss": 0.5893, + "step": 692 + }, + { + "epoch": 1.540427896637955, + "grad_norm": 0.015523020178079605, + "learning_rate": 0.001618811881188119, + "loss": 0.6822, + "step": 693 + }, + { + "epoch": 1.5426507363156432, + "grad_norm": 0.014033573679625988, + "learning_rate": 0.0016163366336633663, + "loss": 0.6213, + "step": 694 + }, + { + "epoch": 1.5448735759933316, + "grad_norm": 0.014586709439754486, + "learning_rate": 0.0016138613861386138, + "loss": 0.7703, + "step": 695 + }, + { + "epoch": 1.5470964156710196, + "grad_norm": 0.014374952763319016, + "learning_rate": 0.0016113861386138615, + "loss": 0.6198, + "step": 696 + }, + { + "epoch": 1.549319255348708, + "grad_norm": 0.017982954159379005, + "learning_rate": 0.0016089108910891088, + "loss": 0.6394, + "step": 697 + }, + { + "epoch": 1.551542095026396, + "grad_norm": 0.014446941204369068, + "learning_rate": 0.0016064356435643563, + "loss": 0.6657, + "step": 698 + }, + { + "epoch": 1.5537649347040845, + "grad_norm": 0.018195228651165962, + "learning_rate": 0.001603960396039604, + "loss": 0.5129, + "step": 699 + }, + { + "epoch": 1.5559877743817727, + "grad_norm": 0.01925376057624817, + "learning_rate": 0.0016014851485148514, + "loss": 0.643, + "step": 700 + }, + { + "epoch": 1.558210614059461, + "grad_norm": 0.036713700741529465, + "learning_rate": 0.001599009900990099, + "loss": 0.6965, + "step": 701 + }, + { + "epoch": 1.5604334537371494, + "grad_norm": 0.01623792201280594, + "learning_rate": 0.0015965346534653467, + "loss": 0.5376, + "step": 702 + }, + { + "epoch": 1.5626562934148374, + "grad_norm": 0.0159526988863945, + "learning_rate": 0.001594059405940594, + "loss": 0.6076, + "step": 703 + }, + { + "epoch": 1.5648791330925258, + "grad_norm": 0.017126891762018204, + "learning_rate": 0.0015915841584158415, + "loss": 0.6329, + "step": 704 + }, + { + "epoch": 1.5671019727702138, + "grad_norm": 0.019651105627417564, + "learning_rate": 0.0015891089108910892, + "loss": 0.4878, + "step": 705 + }, + { + "epoch": 1.5693248124479022, + "grad_norm": 0.01890754885971546, + "learning_rate": 0.0015866336633663365, + "loss": 0.677, + "step": 706 + }, + { + "epoch": 1.5715476521255904, + "grad_norm": 0.014043249189853668, + "learning_rate": 0.001584158415841584, + "loss": 0.5893, + "step": 707 + }, + { + "epoch": 1.5737704918032787, + "grad_norm": 0.014365495182573795, + "learning_rate": 0.0015816831683168318, + "loss": 0.6114, + "step": 708 + }, + { + "epoch": 1.575993331480967, + "grad_norm": 0.021364012733101845, + "learning_rate": 0.001579207920792079, + "loss": 0.616, + "step": 709 + }, + { + "epoch": 1.578216171158655, + "grad_norm": 0.021359330043196678, + "learning_rate": 0.0015767326732673266, + "loss": 0.7248, + "step": 710 + }, + { + "epoch": 1.5804390108363435, + "grad_norm": 0.01866665668785572, + "learning_rate": 0.0015742574257425744, + "loss": 0.7569, + "step": 711 + }, + { + "epoch": 1.5826618505140315, + "grad_norm": 0.013409837149083614, + "learning_rate": 0.0015717821782178217, + "loss": 0.5397, + "step": 712 + }, + { + "epoch": 1.58488469019172, + "grad_norm": 0.014709453098475933, + "learning_rate": 0.0015693069306930692, + "loss": 0.5613, + "step": 713 + }, + { + "epoch": 1.5871075298694082, + "grad_norm": 0.014858447946608067, + "learning_rate": 0.001566831683168317, + "loss": 0.6546, + "step": 714 + }, + { + "epoch": 1.5893303695470964, + "grad_norm": 0.01660234108567238, + "learning_rate": 0.0015643564356435642, + "loss": 0.8238, + "step": 715 + }, + { + "epoch": 1.5915532092247848, + "grad_norm": 0.01475167740136385, + "learning_rate": 0.0015618811881188122, + "loss": 0.6471, + "step": 716 + }, + { + "epoch": 1.5937760489024728, + "grad_norm": 0.024248579517006874, + "learning_rate": 0.0015594059405940595, + "loss": 0.7741, + "step": 717 + }, + { + "epoch": 1.5959988885801613, + "grad_norm": 0.02008378878235817, + "learning_rate": 0.0015569306930693068, + "loss": 0.6338, + "step": 718 + }, + { + "epoch": 1.5982217282578493, + "grad_norm": 0.013149694539606571, + "learning_rate": 0.0015544554455445548, + "loss": 0.5793, + "step": 719 + }, + { + "epoch": 1.6004445679355377, + "grad_norm": 0.016647828742861748, + "learning_rate": 0.001551980198019802, + "loss": 0.571, + "step": 720 + }, + { + "epoch": 1.602667407613226, + "grad_norm": 0.020569197833538055, + "learning_rate": 0.0015495049504950494, + "loss": 0.747, + "step": 721 + }, + { + "epoch": 1.6048902472909141, + "grad_norm": 0.015371223911643028, + "learning_rate": 0.0015470297029702973, + "loss": 0.7479, + "step": 722 + }, + { + "epoch": 1.6071130869686026, + "grad_norm": 0.018335159868001938, + "learning_rate": 0.0015445544554455446, + "loss": 0.7619, + "step": 723 + }, + { + "epoch": 1.6093359266462905, + "grad_norm": 0.012718189507722855, + "learning_rate": 0.001542079207920792, + "loss": 0.6172, + "step": 724 + }, + { + "epoch": 1.611558766323979, + "grad_norm": 0.0307784266769886, + "learning_rate": 0.0015396039603960399, + "loss": 0.6105, + "step": 725 + }, + { + "epoch": 1.613781606001667, + "grad_norm": 0.017151063308119774, + "learning_rate": 0.0015371287128712872, + "loss": 0.6892, + "step": 726 + }, + { + "epoch": 1.6160044456793554, + "grad_norm": 0.020293843001127243, + "learning_rate": 0.0015346534653465345, + "loss": 0.6951, + "step": 727 + }, + { + "epoch": 1.6182272853570436, + "grad_norm": 0.018611643463373184, + "learning_rate": 0.0015321782178217825, + "loss": 0.7882, + "step": 728 + }, + { + "epoch": 1.6204501250347318, + "grad_norm": 0.0173718873411417, + "learning_rate": 0.0015297029702970298, + "loss": 0.6516, + "step": 729 + }, + { + "epoch": 1.62267296471242, + "grad_norm": 0.014312409795820713, + "learning_rate": 0.001527227722772277, + "loss": 0.5164, + "step": 730 + }, + { + "epoch": 1.6248958043901083, + "grad_norm": 0.01838870160281658, + "learning_rate": 0.001524752475247525, + "loss": 0.6303, + "step": 731 + }, + { + "epoch": 1.6271186440677967, + "grad_norm": 0.013072308152914047, + "learning_rate": 0.0015222772277227723, + "loss": 0.6555, + "step": 732 + }, + { + "epoch": 1.6293414837454847, + "grad_norm": 0.013176838867366314, + "learning_rate": 0.0015198019801980196, + "loss": 0.6303, + "step": 733 + }, + { + "epoch": 1.6315643234231731, + "grad_norm": 0.016583677381277084, + "learning_rate": 0.0015173267326732676, + "loss": 0.6323, + "step": 734 + }, + { + "epoch": 1.6337871631008614, + "grad_norm": 0.015155021101236343, + "learning_rate": 0.001514851485148515, + "loss": 0.6323, + "step": 735 + }, + { + "epoch": 1.6360100027785496, + "grad_norm": 0.013991404324769974, + "learning_rate": 0.0015123762376237622, + "loss": 0.6144, + "step": 736 + }, + { + "epoch": 1.6382328424562378, + "grad_norm": 0.021456275135278702, + "learning_rate": 0.0015099009900990102, + "loss": 0.6232, + "step": 737 + }, + { + "epoch": 1.640455682133926, + "grad_norm": 0.016199328005313873, + "learning_rate": 0.0015074257425742575, + "loss": 0.6021, + "step": 738 + }, + { + "epoch": 1.6426785218116144, + "grad_norm": 0.02143920212984085, + "learning_rate": 0.0015049504950495048, + "loss": 0.6952, + "step": 739 + }, + { + "epoch": 1.6449013614893024, + "grad_norm": 0.016033926978707314, + "learning_rate": 0.0015024752475247527, + "loss": 0.7172, + "step": 740 + }, + { + "epoch": 1.6471242011669909, + "grad_norm": 0.012828083708882332, + "learning_rate": 0.0015, + "loss": 0.6543, + "step": 741 + }, + { + "epoch": 1.649347040844679, + "grad_norm": 0.0132541349157691, + "learning_rate": 0.0014975247524752476, + "loss": 0.6105, + "step": 742 + }, + { + "epoch": 1.6515698805223673, + "grad_norm": 0.01240797434002161, + "learning_rate": 0.001495049504950495, + "loss": 0.6074, + "step": 743 + }, + { + "epoch": 1.6537927202000555, + "grad_norm": 0.0144476518034935, + "learning_rate": 0.0014925742574257426, + "loss": 0.6292, + "step": 744 + }, + { + "epoch": 1.6560155598777437, + "grad_norm": 0.013765274547040462, + "learning_rate": 0.0014900990099009901, + "loss": 0.6266, + "step": 745 + }, + { + "epoch": 1.6582383995554322, + "grad_norm": 0.015940168872475624, + "learning_rate": 0.0014876237623762376, + "loss": 0.6191, + "step": 746 + }, + { + "epoch": 1.6604612392331202, + "grad_norm": 0.013493590988218784, + "learning_rate": 0.0014851485148514852, + "loss": 0.6048, + "step": 747 + }, + { + "epoch": 1.6626840789108086, + "grad_norm": 0.01261868141591549, + "learning_rate": 0.0014826732673267327, + "loss": 0.6823, + "step": 748 + }, + { + "epoch": 1.6649069185884968, + "grad_norm": 0.024276770651340485, + "learning_rate": 0.0014801980198019802, + "loss": 0.7041, + "step": 749 + }, + { + "epoch": 1.667129758266185, + "grad_norm": 0.019383903592824936, + "learning_rate": 0.0014777227722772277, + "loss": 0.7646, + "step": 750 + }, + { + "epoch": 1.6693525979438733, + "grad_norm": 0.015850719064474106, + "learning_rate": 0.0014752475247524753, + "loss": 0.5642, + "step": 751 + }, + { + "epoch": 1.6715754376215615, + "grad_norm": 0.014828231185674667, + "learning_rate": 0.0014727722772277228, + "loss": 0.728, + "step": 752 + }, + { + "epoch": 1.67379827729925, + "grad_norm": 0.014795539900660515, + "learning_rate": 0.0014702970297029703, + "loss": 0.514, + "step": 753 + }, + { + "epoch": 1.676021116976938, + "grad_norm": 0.03070404753088951, + "learning_rate": 0.0014678217821782178, + "loss": 0.659, + "step": 754 + }, + { + "epoch": 1.6782439566546263, + "grad_norm": 0.01784861460328102, + "learning_rate": 0.0014653465346534656, + "loss": 0.6316, + "step": 755 + }, + { + "epoch": 1.6804667963323145, + "grad_norm": 0.020610976964235306, + "learning_rate": 0.0014628712871287129, + "loss": 0.5602, + "step": 756 + }, + { + "epoch": 1.6826896360100028, + "grad_norm": 0.01749056577682495, + "learning_rate": 0.0014603960396039604, + "loss": 0.7298, + "step": 757 + }, + { + "epoch": 1.684912475687691, + "grad_norm": 0.019512880593538284, + "learning_rate": 0.0014579207920792081, + "loss": 0.6296, + "step": 758 + }, + { + "epoch": 1.6871353153653792, + "grad_norm": 0.017783217132091522, + "learning_rate": 0.0014554455445544554, + "loss": 0.6959, + "step": 759 + }, + { + "epoch": 1.6893581550430676, + "grad_norm": 0.015032476745545864, + "learning_rate": 0.001452970297029703, + "loss": 0.54, + "step": 760 + }, + { + "epoch": 1.6915809947207556, + "grad_norm": 0.010041123256087303, + "learning_rate": 0.0014504950495049507, + "loss": 0.5299, + "step": 761 + }, + { + "epoch": 1.693803834398444, + "grad_norm": 0.013333450071513653, + "learning_rate": 0.001448019801980198, + "loss": 0.5786, + "step": 762 + }, + { + "epoch": 1.6960266740761323, + "grad_norm": 0.017033929005265236, + "learning_rate": 0.0014455445544554455, + "loss": 0.6885, + "step": 763 + }, + { + "epoch": 1.6982495137538205, + "grad_norm": 0.01851385273039341, + "learning_rate": 0.0014430693069306933, + "loss": 0.8939, + "step": 764 + }, + { + "epoch": 1.7004723534315087, + "grad_norm": 0.021369075402617455, + "learning_rate": 0.0014405940594059406, + "loss": 0.6529, + "step": 765 + }, + { + "epoch": 1.702695193109197, + "grad_norm": 0.012632249854505062, + "learning_rate": 0.001438118811881188, + "loss": 0.5608, + "step": 766 + }, + { + "epoch": 1.7049180327868854, + "grad_norm": 0.01696857064962387, + "learning_rate": 0.0014356435643564358, + "loss": 0.5658, + "step": 767 + }, + { + "epoch": 1.7071408724645734, + "grad_norm": 0.02316252514719963, + "learning_rate": 0.0014331683168316831, + "loss": 0.6628, + "step": 768 + }, + { + "epoch": 1.7093637121422618, + "grad_norm": 0.014780178666114807, + "learning_rate": 0.0014306930693069307, + "loss": 0.5469, + "step": 769 + }, + { + "epoch": 1.71158655181995, + "grad_norm": 0.02393134869635105, + "learning_rate": 0.0014282178217821784, + "loss": 0.6237, + "step": 770 + }, + { + "epoch": 1.7138093914976382, + "grad_norm": 0.017437728121876717, + "learning_rate": 0.0014257425742574257, + "loss": 0.598, + "step": 771 + }, + { + "epoch": 1.7160322311753264, + "grad_norm": 0.014657423831522465, + "learning_rate": 0.0014232673267326732, + "loss": 0.6574, + "step": 772 + }, + { + "epoch": 1.7182550708530147, + "grad_norm": 0.014511947520077229, + "learning_rate": 0.001420792079207921, + "loss": 0.4105, + "step": 773 + }, + { + "epoch": 1.720477910530703, + "grad_norm": 0.0161074697971344, + "learning_rate": 0.0014183168316831683, + "loss": 0.5853, + "step": 774 + }, + { + "epoch": 1.722700750208391, + "grad_norm": 0.015577802434563637, + "learning_rate": 0.0014158415841584158, + "loss": 0.7821, + "step": 775 + }, + { + "epoch": 1.7249235898860795, + "grad_norm": 0.013394194655120373, + "learning_rate": 0.0014133663366336635, + "loss": 0.6393, + "step": 776 + }, + { + "epoch": 1.7271464295637677, + "grad_norm": 0.011438438668847084, + "learning_rate": 0.0014108910891089108, + "loss": 0.5918, + "step": 777 + }, + { + "epoch": 1.729369269241456, + "grad_norm": 0.01416991837322712, + "learning_rate": 0.0014084158415841584, + "loss": 0.5726, + "step": 778 + }, + { + "epoch": 1.7315921089191442, + "grad_norm": 0.011613192036747932, + "learning_rate": 0.001405940594059406, + "loss": 0.6207, + "step": 779 + }, + { + "epoch": 1.7338149485968324, + "grad_norm": 0.014506768435239792, + "learning_rate": 0.0014034653465346536, + "loss": 0.7833, + "step": 780 + }, + { + "epoch": 1.7360377882745208, + "grad_norm": 0.016172049567103386, + "learning_rate": 0.001400990099009901, + "loss": 0.6071, + "step": 781 + }, + { + "epoch": 1.7382606279522088, + "grad_norm": 0.014774010516703129, + "learning_rate": 0.0013985148514851487, + "loss": 0.7103, + "step": 782 + }, + { + "epoch": 1.7404834676298973, + "grad_norm": 0.019349824637174606, + "learning_rate": 0.0013960396039603962, + "loss": 0.648, + "step": 783 + }, + { + "epoch": 1.7427063073075855, + "grad_norm": 0.012977352365851402, + "learning_rate": 0.0013935643564356435, + "loss": 0.5717, + "step": 784 + }, + { + "epoch": 1.7449291469852737, + "grad_norm": 0.01410915981978178, + "learning_rate": 0.0013910891089108912, + "loss": 0.5183, + "step": 785 + }, + { + "epoch": 1.747151986662962, + "grad_norm": 0.018457330763339996, + "learning_rate": 0.0013886138613861388, + "loss": 0.5707, + "step": 786 + }, + { + "epoch": 1.7493748263406501, + "grad_norm": 0.020965803414583206, + "learning_rate": 0.001386138613861386, + "loss": 0.6848, + "step": 787 + }, + { + "epoch": 1.7515976660183386, + "grad_norm": 0.01630076766014099, + "learning_rate": 0.0013836633663366338, + "loss": 0.8393, + "step": 788 + }, + { + "epoch": 1.7538205056960265, + "grad_norm": 0.013406305573880672, + "learning_rate": 0.0013811881188118813, + "loss": 0.4215, + "step": 789 + }, + { + "epoch": 1.756043345373715, + "grad_norm": 0.013798919506371021, + "learning_rate": 0.0013787128712871286, + "loss": 0.6094, + "step": 790 + }, + { + "epoch": 1.7582661850514032, + "grad_norm": 0.028619924560189247, + "learning_rate": 0.0013762376237623764, + "loss": 0.6902, + "step": 791 + }, + { + "epoch": 1.7604890247290914, + "grad_norm": 0.035553187131881714, + "learning_rate": 0.001373762376237624, + "loss": 0.5251, + "step": 792 + }, + { + "epoch": 1.7627118644067796, + "grad_norm": 0.013903150334954262, + "learning_rate": 0.0013712871287128712, + "loss": 0.7792, + "step": 793 + }, + { + "epoch": 1.7649347040844678, + "grad_norm": 0.012611381709575653, + "learning_rate": 0.0013688118811881187, + "loss": 0.592, + "step": 794 + }, + { + "epoch": 1.7671575437621563, + "grad_norm": 0.014770290814340115, + "learning_rate": 0.0013663366336633665, + "loss": 0.5483, + "step": 795 + }, + { + "epoch": 1.7693803834398443, + "grad_norm": 0.02011730521917343, + "learning_rate": 0.0013638613861386138, + "loss": 0.7013, + "step": 796 + }, + { + "epoch": 1.7716032231175327, + "grad_norm": 0.024151911959052086, + "learning_rate": 0.0013613861386138613, + "loss": 0.6834, + "step": 797 + }, + { + "epoch": 1.773826062795221, + "grad_norm": 0.020802835002541542, + "learning_rate": 0.001358910891089109, + "loss": 0.6703, + "step": 798 + }, + { + "epoch": 1.7760489024729091, + "grad_norm": 0.027099374681711197, + "learning_rate": 0.0013564356435643563, + "loss": 0.6492, + "step": 799 + }, + { + "epoch": 1.7782717421505974, + "grad_norm": 0.015476135537028313, + "learning_rate": 0.0013539603960396039, + "loss": 0.7148, + "step": 800 + }, + { + "epoch": 1.7804945818282856, + "grad_norm": 0.016380343586206436, + "learning_rate": 0.0013514851485148516, + "loss": 0.65, + "step": 801 + }, + { + "epoch": 1.782717421505974, + "grad_norm": 0.01689559780061245, + "learning_rate": 0.001349009900990099, + "loss": 0.5779, + "step": 802 + }, + { + "epoch": 1.784940261183662, + "grad_norm": 0.021533837541937828, + "learning_rate": 0.0013465346534653464, + "loss": 0.5734, + "step": 803 + }, + { + "epoch": 1.7871631008613504, + "grad_norm": 0.025379789993166924, + "learning_rate": 0.0013440594059405942, + "loss": 0.554, + "step": 804 + }, + { + "epoch": 1.7893859405390387, + "grad_norm": 0.022600479423999786, + "learning_rate": 0.0013415841584158417, + "loss": 0.7596, + "step": 805 + }, + { + "epoch": 1.7916087802167269, + "grad_norm": 0.029088463634252548, + "learning_rate": 0.001339108910891089, + "loss": 0.6969, + "step": 806 + }, + { + "epoch": 1.793831619894415, + "grad_norm": 0.02145700715482235, + "learning_rate": 0.0013366336633663367, + "loss": 0.7427, + "step": 807 + }, + { + "epoch": 1.7960544595721033, + "grad_norm": 0.019825611263513565, + "learning_rate": 0.0013341584158415843, + "loss": 0.5842, + "step": 808 + }, + { + "epoch": 1.7982772992497917, + "grad_norm": 0.018616992980241776, + "learning_rate": 0.0013316831683168316, + "loss": 0.5571, + "step": 809 + }, + { + "epoch": 1.8005001389274797, + "grad_norm": 0.014252702705562115, + "learning_rate": 0.0013292079207920793, + "loss": 0.6742, + "step": 810 + }, + { + "epoch": 1.8027229786051682, + "grad_norm": 0.010596544481813908, + "learning_rate": 0.0013267326732673268, + "loss": 0.4869, + "step": 811 + }, + { + "epoch": 1.8049458182828564, + "grad_norm": 0.02070692926645279, + "learning_rate": 0.0013242574257425741, + "loss": 0.7206, + "step": 812 + }, + { + "epoch": 1.8071686579605446, + "grad_norm": 0.017880035564303398, + "learning_rate": 0.0013217821782178219, + "loss": 0.6991, + "step": 813 + }, + { + "epoch": 1.8093914976382328, + "grad_norm": 0.02070513367652893, + "learning_rate": 0.0013193069306930694, + "loss": 0.8145, + "step": 814 + }, + { + "epoch": 1.811614337315921, + "grad_norm": 0.016880514100193977, + "learning_rate": 0.0013168316831683167, + "loss": 0.5353, + "step": 815 + }, + { + "epoch": 1.8138371769936095, + "grad_norm": 0.017728716135025024, + "learning_rate": 0.0013143564356435644, + "loss": 0.6704, + "step": 816 + }, + { + "epoch": 1.8160600166712975, + "grad_norm": 0.026395466178655624, + "learning_rate": 0.001311881188118812, + "loss": 0.672, + "step": 817 + }, + { + "epoch": 1.818282856348986, + "grad_norm": 0.019495896995067596, + "learning_rate": 0.0013094059405940593, + "loss": 0.5702, + "step": 818 + }, + { + "epoch": 1.8205056960266741, + "grad_norm": 0.027116477489471436, + "learning_rate": 0.001306930693069307, + "loss": 0.5935, + "step": 819 + }, + { + "epoch": 1.8227285357043623, + "grad_norm": 0.014737212099134922, + "learning_rate": 0.0013044554455445545, + "loss": 0.5925, + "step": 820 + }, + { + "epoch": 1.8249513753820505, + "grad_norm": 0.015115857124328613, + "learning_rate": 0.0013019801980198018, + "loss": 0.614, + "step": 821 + }, + { + "epoch": 1.8271742150597388, + "grad_norm": 0.011744903400540352, + "learning_rate": 0.0012995049504950496, + "loss": 0.5326, + "step": 822 + }, + { + "epoch": 1.8293970547374272, + "grad_norm": 0.013531588949263096, + "learning_rate": 0.001297029702970297, + "loss": 0.6255, + "step": 823 + }, + { + "epoch": 1.8316198944151152, + "grad_norm": 0.014545679092407227, + "learning_rate": 0.0012945544554455444, + "loss": 0.6711, + "step": 824 + }, + { + "epoch": 1.8338427340928036, + "grad_norm": 0.02696896158158779, + "learning_rate": 0.0012920792079207921, + "loss": 0.7379, + "step": 825 + }, + { + "epoch": 1.8360655737704918, + "grad_norm": 0.017231903970241547, + "learning_rate": 0.0012896039603960397, + "loss": 0.6318, + "step": 826 + }, + { + "epoch": 1.83828841344818, + "grad_norm": 0.020397018641233444, + "learning_rate": 0.001287128712871287, + "loss": 0.7356, + "step": 827 + }, + { + "epoch": 1.8405112531258683, + "grad_norm": 0.014277629554271698, + "learning_rate": 0.0012846534653465347, + "loss": 0.6417, + "step": 828 + }, + { + "epoch": 1.8427340928035565, + "grad_norm": 0.014533923007547855, + "learning_rate": 0.0012821782178217822, + "loss": 0.558, + "step": 829 + }, + { + "epoch": 1.844956932481245, + "grad_norm": 0.014783985912799835, + "learning_rate": 0.0012797029702970298, + "loss": 0.7035, + "step": 830 + }, + { + "epoch": 1.847179772158933, + "grad_norm": 0.017703086137771606, + "learning_rate": 0.0012772277227722773, + "loss": 0.7231, + "step": 831 + }, + { + "epoch": 1.8494026118366214, + "grad_norm": 0.03160193935036659, + "learning_rate": 0.0012747524752475248, + "loss": 0.6218, + "step": 832 + }, + { + "epoch": 1.8516254515143096, + "grad_norm": 0.01616073027253151, + "learning_rate": 0.0012722772277227723, + "loss": 0.5358, + "step": 833 + }, + { + "epoch": 1.8538482911919978, + "grad_norm": 0.015707818791270256, + "learning_rate": 0.0012698019801980198, + "loss": 0.6487, + "step": 834 + }, + { + "epoch": 1.856071130869686, + "grad_norm": 0.027285683900117874, + "learning_rate": 0.0012673267326732674, + "loss": 0.7571, + "step": 835 + }, + { + "epoch": 1.8582939705473742, + "grad_norm": 0.013436183333396912, + "learning_rate": 0.0012648514851485149, + "loss": 0.5062, + "step": 836 + }, + { + "epoch": 1.8605168102250627, + "grad_norm": 0.012100230902433395, + "learning_rate": 0.0012623762376237624, + "loss": 0.6001, + "step": 837 + }, + { + "epoch": 1.8627396499027506, + "grad_norm": 0.016179142519831657, + "learning_rate": 0.00125990099009901, + "loss": 0.5925, + "step": 838 + }, + { + "epoch": 1.864962489580439, + "grad_norm": 0.01836666651070118, + "learning_rate": 0.0012574257425742575, + "loss": 0.7492, + "step": 839 + }, + { + "epoch": 1.8671853292581273, + "grad_norm": 0.013563703745603561, + "learning_rate": 0.001254950495049505, + "loss": 0.5668, + "step": 840 + }, + { + "epoch": 1.8694081689358155, + "grad_norm": 0.02543150633573532, + "learning_rate": 0.0012524752475247525, + "loss": 0.5982, + "step": 841 + }, + { + "epoch": 1.8716310086135037, + "grad_norm": 0.017902787774801254, + "learning_rate": 0.00125, + "loss": 0.6887, + "step": 842 + }, + { + "epoch": 1.873853848291192, + "grad_norm": 0.018437763676047325, + "learning_rate": 0.0012475247524752475, + "loss": 0.6153, + "step": 843 + }, + { + "epoch": 1.8760766879688804, + "grad_norm": 0.01389164850115776, + "learning_rate": 0.001245049504950495, + "loss": 0.6548, + "step": 844 + }, + { + "epoch": 1.8782995276465684, + "grad_norm": 0.03561052680015564, + "learning_rate": 0.0012425742574257426, + "loss": 0.5777, + "step": 845 + }, + { + "epoch": 1.8805223673242568, + "grad_norm": 0.014207260683178902, + "learning_rate": 0.0012400990099009901, + "loss": 0.5582, + "step": 846 + }, + { + "epoch": 1.882745207001945, + "grad_norm": 0.046381477266550064, + "learning_rate": 0.0012376237623762376, + "loss": 0.605, + "step": 847 + }, + { + "epoch": 1.8849680466796332, + "grad_norm": 0.015709543600678444, + "learning_rate": 0.0012351485148514852, + "loss": 0.5713, + "step": 848 + }, + { + "epoch": 1.8871908863573215, + "grad_norm": 0.01592281460762024, + "learning_rate": 0.0012326732673267327, + "loss": 0.618, + "step": 849 + }, + { + "epoch": 1.8894137260350097, + "grad_norm": 0.01385457906872034, + "learning_rate": 0.0012301980198019802, + "loss": 0.5394, + "step": 850 + }, + { + "epoch": 1.8916365657126981, + "grad_norm": 0.02153988927602768, + "learning_rate": 0.0012277227722772277, + "loss": 0.5842, + "step": 851 + }, + { + "epoch": 1.893859405390386, + "grad_norm": 0.02466188557446003, + "learning_rate": 0.0012252475247524753, + "loss": 0.5083, + "step": 852 + }, + { + "epoch": 1.8960822450680745, + "grad_norm": 0.015681538730859756, + "learning_rate": 0.0012227722772277228, + "loss": 0.7941, + "step": 853 + }, + { + "epoch": 1.8983050847457628, + "grad_norm": 0.012338684871792793, + "learning_rate": 0.0012202970297029703, + "loss": 0.5342, + "step": 854 + }, + { + "epoch": 1.900527924423451, + "grad_norm": 0.01564796082675457, + "learning_rate": 0.001217821782178218, + "loss": 0.7584, + "step": 855 + }, + { + "epoch": 1.9027507641011392, + "grad_norm": 0.02049081400036812, + "learning_rate": 0.0012153465346534653, + "loss": 0.644, + "step": 856 + }, + { + "epoch": 1.9049736037788274, + "grad_norm": 0.029596436768770218, + "learning_rate": 0.0012128712871287129, + "loss": 0.7099, + "step": 857 + }, + { + "epoch": 1.9071964434565158, + "grad_norm": 0.013466271571815014, + "learning_rate": 0.0012103960396039606, + "loss": 0.649, + "step": 858 + }, + { + "epoch": 1.9094192831342038, + "grad_norm": 0.02464134432375431, + "learning_rate": 0.001207920792079208, + "loss": 0.5849, + "step": 859 + }, + { + "epoch": 1.9116421228118923, + "grad_norm": 0.0143961850553751, + "learning_rate": 0.0012054455445544554, + "loss": 0.6556, + "step": 860 + }, + { + "epoch": 1.9138649624895805, + "grad_norm": 0.016098588705062866, + "learning_rate": 0.0012029702970297032, + "loss": 0.6991, + "step": 861 + }, + { + "epoch": 1.9160878021672687, + "grad_norm": 0.013091151602566242, + "learning_rate": 0.0012004950495049505, + "loss": 0.6811, + "step": 862 + }, + { + "epoch": 1.918310641844957, + "grad_norm": 0.029850434511899948, + "learning_rate": 0.001198019801980198, + "loss": 0.703, + "step": 863 + }, + { + "epoch": 1.9205334815226451, + "grad_norm": 0.01120046991854906, + "learning_rate": 0.0011955445544554457, + "loss": 0.4938, + "step": 864 + }, + { + "epoch": 1.9227563212003336, + "grad_norm": 0.014592386782169342, + "learning_rate": 0.001193069306930693, + "loss": 0.6209, + "step": 865 + }, + { + "epoch": 1.9249791608780216, + "grad_norm": 0.015447413548827171, + "learning_rate": 0.0011905940594059406, + "loss": 0.5492, + "step": 866 + }, + { + "epoch": 1.92720200055571, + "grad_norm": 0.015509175136685371, + "learning_rate": 0.0011881188118811883, + "loss": 0.54, + "step": 867 + }, + { + "epoch": 1.9294248402333982, + "grad_norm": 0.01778079755604267, + "learning_rate": 0.0011856435643564356, + "loss": 0.6965, + "step": 868 + }, + { + "epoch": 1.9316476799110864, + "grad_norm": 0.02252313494682312, + "learning_rate": 0.0011831683168316831, + "loss": 0.5413, + "step": 869 + }, + { + "epoch": 1.9338705195887747, + "grad_norm": 0.012748087756335735, + "learning_rate": 0.0011806930693069309, + "loss": 0.5079, + "step": 870 + }, + { + "epoch": 1.9360933592664629, + "grad_norm": 0.016808731481432915, + "learning_rate": 0.0011782178217821782, + "loss": 0.6487, + "step": 871 + }, + { + "epoch": 1.9383161989441513, + "grad_norm": 0.017723703756928444, + "learning_rate": 0.0011757425742574257, + "loss": 0.7172, + "step": 872 + }, + { + "epoch": 1.9405390386218393, + "grad_norm": 0.014089664444327354, + "learning_rate": 0.0011732673267326734, + "loss": 0.4578, + "step": 873 + }, + { + "epoch": 1.9427618782995277, + "grad_norm": 0.019459979608654976, + "learning_rate": 0.0011707920792079207, + "loss": 0.5246, + "step": 874 + }, + { + "epoch": 1.9449847179772157, + "grad_norm": 0.017233047634363174, + "learning_rate": 0.0011683168316831683, + "loss": 0.6245, + "step": 875 + }, + { + "epoch": 1.9472075576549042, + "grad_norm": 0.019499676302075386, + "learning_rate": 0.001165841584158416, + "loss": 0.6322, + "step": 876 + }, + { + "epoch": 1.9494303973325924, + "grad_norm": 0.022460227832198143, + "learning_rate": 0.0011633663366336633, + "loss": 0.6601, + "step": 877 + }, + { + "epoch": 1.9516532370102806, + "grad_norm": 0.020194463431835175, + "learning_rate": 0.0011608910891089108, + "loss": 0.7348, + "step": 878 + }, + { + "epoch": 1.953876076687969, + "grad_norm": 0.018907731398940086, + "learning_rate": 0.0011584158415841586, + "loss": 0.6646, + "step": 879 + }, + { + "epoch": 1.956098916365657, + "grad_norm": 0.015820452943444252, + "learning_rate": 0.001155940594059406, + "loss": 0.5312, + "step": 880 + }, + { + "epoch": 1.9583217560433455, + "grad_norm": 0.018061013892292976, + "learning_rate": 0.0011534653465346534, + "loss": 0.6744, + "step": 881 + }, + { + "epoch": 1.9605445957210335, + "grad_norm": 0.02651524357497692, + "learning_rate": 0.0011509900990099011, + "loss": 0.6111, + "step": 882 + }, + { + "epoch": 1.962767435398722, + "grad_norm": 0.014137241058051586, + "learning_rate": 0.0011485148514851487, + "loss": 0.5668, + "step": 883 + }, + { + "epoch": 1.96499027507641, + "grad_norm": 0.02786339819431305, + "learning_rate": 0.001146039603960396, + "loss": 0.6426, + "step": 884 + }, + { + "epoch": 1.9672131147540983, + "grad_norm": 0.012125310488045216, + "learning_rate": 0.0011435643564356437, + "loss": 0.6304, + "step": 885 + }, + { + "epoch": 1.9694359544317868, + "grad_norm": 0.019771946594119072, + "learning_rate": 0.0011410891089108912, + "loss": 0.6049, + "step": 886 + }, + { + "epoch": 1.9716587941094748, + "grad_norm": 0.028338497504591942, + "learning_rate": 0.0011386138613861385, + "loss": 0.7123, + "step": 887 + }, + { + "epoch": 1.9738816337871632, + "grad_norm": 0.01594017632305622, + "learning_rate": 0.0011361386138613863, + "loss": 0.6499, + "step": 888 + }, + { + "epoch": 1.9761044734648512, + "grad_norm": 0.015689987689256668, + "learning_rate": 0.0011336633663366338, + "loss": 0.6692, + "step": 889 + }, + { + "epoch": 1.9783273131425396, + "grad_norm": 0.014462132938206196, + "learning_rate": 0.0011311881188118811, + "loss": 0.7722, + "step": 890 + }, + { + "epoch": 1.9805501528202278, + "grad_norm": 0.01385975256562233, + "learning_rate": 0.0011287128712871288, + "loss": 0.4916, + "step": 891 + }, + { + "epoch": 1.982772992497916, + "grad_norm": 0.01998106576502323, + "learning_rate": 0.0011262376237623764, + "loss": 0.4741, + "step": 892 + }, + { + "epoch": 1.9849958321756045, + "grad_norm": 0.0200062096118927, + "learning_rate": 0.0011237623762376237, + "loss": 0.6419, + "step": 893 + }, + { + "epoch": 1.9872186718532925, + "grad_norm": 0.01526566967368126, + "learning_rate": 0.0011212871287128712, + "loss": 0.7451, + "step": 894 + }, + { + "epoch": 1.989441511530981, + "grad_norm": 0.022502193227410316, + "learning_rate": 0.001118811881188119, + "loss": 0.7621, + "step": 895 + }, + { + "epoch": 1.991664351208669, + "grad_norm": 0.01716960035264492, + "learning_rate": 0.0011163366336633662, + "loss": 0.522, + "step": 896 + }, + { + "epoch": 1.9938871908863574, + "grad_norm": 0.013558654114603996, + "learning_rate": 0.0011138613861386138, + "loss": 0.5354, + "step": 897 + }, + { + "epoch": 1.9961100305640456, + "grad_norm": 0.012157892808318138, + "learning_rate": 0.0011113861386138615, + "loss": 0.5341, + "step": 898 + }, + { + "epoch": 1.9983328702417338, + "grad_norm": 0.020689917728304863, + "learning_rate": 0.0011089108910891088, + "loss": 0.7788, + "step": 899 + }, + { + "epoch": 2.000555709919422, + "grad_norm": 0.013700471259653568, + "learning_rate": 0.0011064356435643563, + "loss": 0.4876, + "step": 900 + }, + { + "epoch": 2.00277854959711, + "grad_norm": 0.022665875032544136, + "learning_rate": 0.001103960396039604, + "loss": 0.549, + "step": 901 + }, + { + "epoch": 2.0050013892747987, + "grad_norm": 0.012792624533176422, + "learning_rate": 0.0011014851485148514, + "loss": 0.5934, + "step": 902 + }, + { + "epoch": 2.0072242289524866, + "grad_norm": 0.014675344340503216, + "learning_rate": 0.001099009900990099, + "loss": 0.6914, + "step": 903 + }, + { + "epoch": 2.009447068630175, + "grad_norm": 0.02120724506676197, + "learning_rate": 0.0010965346534653466, + "loss": 0.6156, + "step": 904 + }, + { + "epoch": 2.011669908307863, + "grad_norm": 0.014748603105545044, + "learning_rate": 0.001094059405940594, + "loss": 0.622, + "step": 905 + }, + { + "epoch": 2.0138927479855515, + "grad_norm": 0.014371293596923351, + "learning_rate": 0.0010915841584158415, + "loss": 0.5474, + "step": 906 + }, + { + "epoch": 2.01611558766324, + "grad_norm": 0.017763959243893623, + "learning_rate": 0.0010891089108910892, + "loss": 0.5761, + "step": 907 + }, + { + "epoch": 2.018338427340928, + "grad_norm": 0.01812128722667694, + "learning_rate": 0.0010866336633663367, + "loss": 0.7893, + "step": 908 + }, + { + "epoch": 2.0205612670186164, + "grad_norm": 0.012955384328961372, + "learning_rate": 0.001084158415841584, + "loss": 0.5467, + "step": 909 + }, + { + "epoch": 2.0227841066963044, + "grad_norm": 0.01600860245525837, + "learning_rate": 0.0010816831683168318, + "loss": 0.6869, + "step": 910 + }, + { + "epoch": 2.025006946373993, + "grad_norm": 0.018638163805007935, + "learning_rate": 0.0010792079207920793, + "loss": 0.5909, + "step": 911 + }, + { + "epoch": 2.027229786051681, + "grad_norm": 0.018940769135951996, + "learning_rate": 0.0010767326732673266, + "loss": 0.7257, + "step": 912 + }, + { + "epoch": 2.0294526257293692, + "grad_norm": 0.016438838094472885, + "learning_rate": 0.0010742574257425743, + "loss": 0.6541, + "step": 913 + }, + { + "epoch": 2.0316754654070577, + "grad_norm": 0.015446559526026249, + "learning_rate": 0.0010717821782178219, + "loss": 0.4858, + "step": 914 + }, + { + "epoch": 2.0338983050847457, + "grad_norm": 0.01849900372326374, + "learning_rate": 0.0010693069306930692, + "loss": 0.642, + "step": 915 + }, + { + "epoch": 2.036121144762434, + "grad_norm": 0.016022328287363052, + "learning_rate": 0.001066831683168317, + "loss": 0.5797, + "step": 916 + }, + { + "epoch": 2.038343984440122, + "grad_norm": 0.011567950248718262, + "learning_rate": 0.0010643564356435644, + "loss": 0.5816, + "step": 917 + }, + { + "epoch": 2.0405668241178105, + "grad_norm": 0.013285503722727299, + "learning_rate": 0.0010618811881188117, + "loss": 0.651, + "step": 918 + }, + { + "epoch": 2.0427896637954985, + "grad_norm": 0.020052414387464523, + "learning_rate": 0.0010594059405940595, + "loss": 0.6495, + "step": 919 + }, + { + "epoch": 2.045012503473187, + "grad_norm": 0.02657526172697544, + "learning_rate": 0.001056930693069307, + "loss": 0.6453, + "step": 920 + }, + { + "epoch": 2.0472353431508754, + "grad_norm": 0.019164010882377625, + "learning_rate": 0.0010544554455445543, + "loss": 0.5374, + "step": 921 + }, + { + "epoch": 2.0494581828285634, + "grad_norm": 0.016299502924084663, + "learning_rate": 0.001051980198019802, + "loss": 0.6959, + "step": 922 + }, + { + "epoch": 2.051681022506252, + "grad_norm": 0.01600020006299019, + "learning_rate": 0.0010495049504950496, + "loss": 0.645, + "step": 923 + }, + { + "epoch": 2.05390386218394, + "grad_norm": 0.018981320783495903, + "learning_rate": 0.0010470297029702969, + "loss": 0.7247, + "step": 924 + }, + { + "epoch": 2.0561267018616283, + "grad_norm": 0.018881479278206825, + "learning_rate": 0.0010445544554455446, + "loss": 0.668, + "step": 925 + }, + { + "epoch": 2.0583495415393163, + "grad_norm": 0.030967555940151215, + "learning_rate": 0.0010420792079207921, + "loss": 0.5847, + "step": 926 + }, + { + "epoch": 2.0605723812170047, + "grad_norm": 0.017560211941599846, + "learning_rate": 0.0010396039603960394, + "loss": 0.6954, + "step": 927 + }, + { + "epoch": 2.062795220894693, + "grad_norm": 0.01360076479613781, + "learning_rate": 0.0010371287128712872, + "loss": 0.6609, + "step": 928 + }, + { + "epoch": 2.065018060572381, + "grad_norm": 0.016593527048826218, + "learning_rate": 0.0010346534653465347, + "loss": 0.6066, + "step": 929 + }, + { + "epoch": 2.0672409002500696, + "grad_norm": 0.014666872099041939, + "learning_rate": 0.001032178217821782, + "loss": 0.5952, + "step": 930 + }, + { + "epoch": 2.0694637399277576, + "grad_norm": 0.014250427484512329, + "learning_rate": 0.0010297029702970298, + "loss": 0.5504, + "step": 931 + }, + { + "epoch": 2.071686579605446, + "grad_norm": 0.02060864120721817, + "learning_rate": 0.0010272277227722773, + "loss": 0.5399, + "step": 932 + }, + { + "epoch": 2.073909419283134, + "grad_norm": 0.020173972472548485, + "learning_rate": 0.0010247524752475248, + "loss": 0.6484, + "step": 933 + }, + { + "epoch": 2.0761322589608224, + "grad_norm": 0.017474539577960968, + "learning_rate": 0.0010222772277227723, + "loss": 0.5387, + "step": 934 + }, + { + "epoch": 2.078355098638511, + "grad_norm": 0.014941662549972534, + "learning_rate": 0.0010198019801980198, + "loss": 0.5956, + "step": 935 + }, + { + "epoch": 2.080577938316199, + "grad_norm": 0.027800098061561584, + "learning_rate": 0.0010173267326732674, + "loss": 0.601, + "step": 936 + }, + { + "epoch": 2.0828007779938873, + "grad_norm": 0.01730935461819172, + "learning_rate": 0.0010148514851485149, + "loss": 0.7134, + "step": 937 + }, + { + "epoch": 2.0850236176715753, + "grad_norm": 0.01698504388332367, + "learning_rate": 0.0010123762376237624, + "loss": 0.5066, + "step": 938 + }, + { + "epoch": 2.0872464573492637, + "grad_norm": 0.015243062749505043, + "learning_rate": 0.00100990099009901, + "loss": 0.657, + "step": 939 + }, + { + "epoch": 2.0894692970269517, + "grad_norm": 0.025019872933626175, + "learning_rate": 0.0010074257425742575, + "loss": 0.6808, + "step": 940 + }, + { + "epoch": 2.09169213670464, + "grad_norm": 0.012755641713738441, + "learning_rate": 0.001004950495049505, + "loss": 0.5509, + "step": 941 + }, + { + "epoch": 2.0939149763823286, + "grad_norm": 0.01922733336687088, + "learning_rate": 0.0010024752475247525, + "loss": 0.8053, + "step": 942 + }, + { + "epoch": 2.0961378160600166, + "grad_norm": 0.03526071086525917, + "learning_rate": 0.001, + "loss": 0.6377, + "step": 943 + }, + { + "epoch": 2.098360655737705, + "grad_norm": 0.021753890439867973, + "learning_rate": 0.0009975247524752475, + "loss": 0.727, + "step": 944 + }, + { + "epoch": 2.100583495415393, + "grad_norm": 0.016603440046310425, + "learning_rate": 0.000995049504950495, + "loss": 0.6584, + "step": 945 + }, + { + "epoch": 2.1028063350930815, + "grad_norm": 0.021078625693917274, + "learning_rate": 0.0009925742574257426, + "loss": 0.6133, + "step": 946 + }, + { + "epoch": 2.1050291747707695, + "grad_norm": 0.037239789962768555, + "learning_rate": 0.0009900990099009901, + "loss": 0.6421, + "step": 947 + }, + { + "epoch": 2.107252014448458, + "grad_norm": 0.012814635410904884, + "learning_rate": 0.0009876237623762376, + "loss": 0.6296, + "step": 948 + }, + { + "epoch": 2.1094748541261463, + "grad_norm": 0.018249889835715294, + "learning_rate": 0.0009851485148514852, + "loss": 0.6202, + "step": 949 + }, + { + "epoch": 2.1116976938038343, + "grad_norm": 0.0173304695636034, + "learning_rate": 0.0009826732673267327, + "loss": 0.5801, + "step": 950 + }, + { + "epoch": 2.1139205334815228, + "grad_norm": 0.020902493968605995, + "learning_rate": 0.0009801980198019802, + "loss": 0.7202, + "step": 951 + }, + { + "epoch": 2.1161433731592107, + "grad_norm": 0.020156148821115494, + "learning_rate": 0.0009777227722772277, + "loss": 0.6196, + "step": 952 + }, + { + "epoch": 2.118366212836899, + "grad_norm": 0.020738055929541588, + "learning_rate": 0.0009752475247524752, + "loss": 0.573, + "step": 953 + }, + { + "epoch": 2.120589052514587, + "grad_norm": 0.015748674049973488, + "learning_rate": 0.0009727722772277229, + "loss": 0.5665, + "step": 954 + }, + { + "epoch": 2.1228118921922756, + "grad_norm": 0.01676134020090103, + "learning_rate": 0.0009702970297029702, + "loss": 0.6478, + "step": 955 + }, + { + "epoch": 2.125034731869964, + "grad_norm": 0.014315289445221424, + "learning_rate": 0.0009678217821782178, + "loss": 0.6188, + "step": 956 + }, + { + "epoch": 2.127257571547652, + "grad_norm": 0.013696223497390747, + "learning_rate": 0.0009653465346534654, + "loss": 0.6517, + "step": 957 + }, + { + "epoch": 2.1294804112253405, + "grad_norm": 0.01995706558227539, + "learning_rate": 0.000962871287128713, + "loss": 0.6499, + "step": 958 + }, + { + "epoch": 2.1317032509030285, + "grad_norm": 0.01407367642968893, + "learning_rate": 0.0009603960396039604, + "loss": 0.5505, + "step": 959 + }, + { + "epoch": 2.133926090580717, + "grad_norm": 0.013528737239539623, + "learning_rate": 0.000957920792079208, + "loss": 0.4975, + "step": 960 + }, + { + "epoch": 2.136148930258405, + "grad_norm": 0.020059697329998016, + "learning_rate": 0.0009554455445544555, + "loss": 0.7414, + "step": 961 + }, + { + "epoch": 2.1383717699360933, + "grad_norm": 0.01345049124211073, + "learning_rate": 0.000952970297029703, + "loss": 0.5884, + "step": 962 + }, + { + "epoch": 2.140594609613782, + "grad_norm": 0.013034477829933167, + "learning_rate": 0.0009504950495049506, + "loss": 0.5133, + "step": 963 + }, + { + "epoch": 2.14281744929147, + "grad_norm": 0.01752249337732792, + "learning_rate": 0.0009480198019801981, + "loss": 0.6086, + "step": 964 + }, + { + "epoch": 2.145040288969158, + "grad_norm": 0.02016667276620865, + "learning_rate": 0.0009455445544554455, + "loss": 0.6729, + "step": 965 + }, + { + "epoch": 2.147263128646846, + "grad_norm": 0.01611597090959549, + "learning_rate": 0.0009430693069306931, + "loss": 0.5042, + "step": 966 + }, + { + "epoch": 2.1494859683245346, + "grad_norm": 0.015491276048123837, + "learning_rate": 0.0009405940594059407, + "loss": 0.4197, + "step": 967 + }, + { + "epoch": 2.1517088080022226, + "grad_norm": 0.0135455671697855, + "learning_rate": 0.0009381188118811881, + "loss": 0.6672, + "step": 968 + }, + { + "epoch": 2.153931647679911, + "grad_norm": 0.018375838175415993, + "learning_rate": 0.0009356435643564356, + "loss": 0.6353, + "step": 969 + }, + { + "epoch": 2.1561544873575995, + "grad_norm": 0.019288305193185806, + "learning_rate": 0.0009331683168316832, + "loss": 0.5963, + "step": 970 + }, + { + "epoch": 2.1583773270352875, + "grad_norm": 0.018923213705420494, + "learning_rate": 0.0009306930693069307, + "loss": 0.7183, + "step": 971 + }, + { + "epoch": 2.160600166712976, + "grad_norm": 0.02921975590288639, + "learning_rate": 0.0009282178217821782, + "loss": 0.5991, + "step": 972 + }, + { + "epoch": 2.162823006390664, + "grad_norm": 0.020133277401328087, + "learning_rate": 0.0009257425742574258, + "loss": 0.5406, + "step": 973 + }, + { + "epoch": 2.1650458460683524, + "grad_norm": 0.014706325717270374, + "learning_rate": 0.0009232673267326732, + "loss": 0.5322, + "step": 974 + }, + { + "epoch": 2.1672686857460404, + "grad_norm": 0.030446428805589676, + "learning_rate": 0.0009207920792079207, + "loss": 0.6796, + "step": 975 + }, + { + "epoch": 2.169491525423729, + "grad_norm": 0.015138603746891022, + "learning_rate": 0.0009183168316831684, + "loss": 0.5747, + "step": 976 + }, + { + "epoch": 2.1717143651014172, + "grad_norm": 0.01757650263607502, + "learning_rate": 0.0009158415841584158, + "loss": 0.7159, + "step": 977 + }, + { + "epoch": 2.1739372047791052, + "grad_norm": 0.017245231196284294, + "learning_rate": 0.0009133663366336633, + "loss": 0.5669, + "step": 978 + }, + { + "epoch": 2.1761600444567937, + "grad_norm": 0.018706029281020164, + "learning_rate": 0.0009108910891089109, + "loss": 0.5436, + "step": 979 + }, + { + "epoch": 2.1783828841344817, + "grad_norm": 0.010909450240433216, + "learning_rate": 0.0009084158415841584, + "loss": 0.5101, + "step": 980 + }, + { + "epoch": 2.18060572381217, + "grad_norm": 0.01844753511250019, + "learning_rate": 0.0009059405940594059, + "loss": 0.5766, + "step": 981 + }, + { + "epoch": 2.182828563489858, + "grad_norm": 0.01436743326485157, + "learning_rate": 0.0009034653465346535, + "loss": 0.4609, + "step": 982 + }, + { + "epoch": 2.1850514031675465, + "grad_norm": 0.015225561335682869, + "learning_rate": 0.0009009900990099011, + "loss": 0.5411, + "step": 983 + }, + { + "epoch": 2.187274242845235, + "grad_norm": 0.020290294662117958, + "learning_rate": 0.0008985148514851484, + "loss": 0.6755, + "step": 984 + }, + { + "epoch": 2.189497082522923, + "grad_norm": 0.013398604467511177, + "learning_rate": 0.0008960396039603961, + "loss": 0.5362, + "step": 985 + }, + { + "epoch": 2.1917199222006114, + "grad_norm": 0.01631542108952999, + "learning_rate": 0.0008935643564356437, + "loss": 0.5372, + "step": 986 + }, + { + "epoch": 2.1939427618782994, + "grad_norm": 0.014349683187901974, + "learning_rate": 0.000891089108910891, + "loss": 0.4823, + "step": 987 + }, + { + "epoch": 2.196165601555988, + "grad_norm": 0.015834227204322815, + "learning_rate": 0.0008886138613861386, + "loss": 0.4641, + "step": 988 + }, + { + "epoch": 2.198388441233676, + "grad_norm": 0.022029682993888855, + "learning_rate": 0.0008861386138613863, + "loss": 0.5842, + "step": 989 + }, + { + "epoch": 2.2006112809113643, + "grad_norm": 0.014018687419593334, + "learning_rate": 0.0008836633663366336, + "loss": 0.5924, + "step": 990 + }, + { + "epoch": 2.2028341205890527, + "grad_norm": 0.0164606012403965, + "learning_rate": 0.0008811881188118812, + "loss": 0.4709, + "step": 991 + }, + { + "epoch": 2.2050569602667407, + "grad_norm": 0.014225888065993786, + "learning_rate": 0.0008787128712871288, + "loss": 0.6046, + "step": 992 + }, + { + "epoch": 2.207279799944429, + "grad_norm": 0.018137982115149498, + "learning_rate": 0.0008762376237623761, + "loss": 0.6395, + "step": 993 + }, + { + "epoch": 2.209502639622117, + "grad_norm": 0.015276088379323483, + "learning_rate": 0.0008737623762376238, + "loss": 0.6237, + "step": 994 + }, + { + "epoch": 2.2117254792998056, + "grad_norm": 0.019907942041754723, + "learning_rate": 0.0008712871287128714, + "loss": 0.6448, + "step": 995 + }, + { + "epoch": 2.2139483189774936, + "grad_norm": 0.024012433364987373, + "learning_rate": 0.0008688118811881187, + "loss": 0.7278, + "step": 996 + }, + { + "epoch": 2.216171158655182, + "grad_norm": 0.021498383954167366, + "learning_rate": 0.0008663366336633663, + "loss": 0.4841, + "step": 997 + }, + { + "epoch": 2.2183939983328704, + "grad_norm": 0.017866021022200584, + "learning_rate": 0.000863861386138614, + "loss": 0.6018, + "step": 998 + }, + { + "epoch": 2.2206168380105584, + "grad_norm": 0.01377987489104271, + "learning_rate": 0.0008613861386138613, + "loss": 0.5827, + "step": 999 + }, + { + "epoch": 2.222839677688247, + "grad_norm": 0.016971712931990623, + "learning_rate": 0.0008589108910891089, + "loss": 0.5961, + "step": 1000 + }, + { + "epoch": 2.225062517365935, + "grad_norm": 0.02038002572953701, + "learning_rate": 0.0008564356435643565, + "loss": 0.7805, + "step": 1001 + }, + { + "epoch": 2.2272853570436233, + "grad_norm": 0.016022466123104095, + "learning_rate": 0.0008539603960396039, + "loss": 0.5474, + "step": 1002 + }, + { + "epoch": 2.2295081967213113, + "grad_norm": 0.020060956478118896, + "learning_rate": 0.0008514851485148515, + "loss": 0.5361, + "step": 1003 + }, + { + "epoch": 2.2317310363989997, + "grad_norm": 0.03471532464027405, + "learning_rate": 0.0008490099009900991, + "loss": 0.6665, + "step": 1004 + }, + { + "epoch": 2.233953876076688, + "grad_norm": 0.013896548189222813, + "learning_rate": 0.0008465346534653464, + "loss": 0.7585, + "step": 1005 + }, + { + "epoch": 2.236176715754376, + "grad_norm": 0.01731082797050476, + "learning_rate": 0.000844059405940594, + "loss": 0.6095, + "step": 1006 + }, + { + "epoch": 2.2383995554320646, + "grad_norm": 0.022298304364085197, + "learning_rate": 0.0008415841584158417, + "loss": 0.6763, + "step": 1007 + }, + { + "epoch": 2.2406223951097526, + "grad_norm": 0.02241886593401432, + "learning_rate": 0.0008391089108910892, + "loss": 0.6923, + "step": 1008 + }, + { + "epoch": 2.242845234787441, + "grad_norm": 0.01641622744500637, + "learning_rate": 0.0008366336633663366, + "loss": 0.4781, + "step": 1009 + }, + { + "epoch": 2.245068074465129, + "grad_norm": 0.01847672462463379, + "learning_rate": 0.0008341584158415842, + "loss": 0.7357, + "step": 1010 + }, + { + "epoch": 2.2472909141428175, + "grad_norm": 0.0181216262280941, + "learning_rate": 0.0008316831683168318, + "loss": 0.6434, + "step": 1011 + }, + { + "epoch": 2.249513753820506, + "grad_norm": 0.016178471967577934, + "learning_rate": 0.0008292079207920792, + "loss": 0.4554, + "step": 1012 + }, + { + "epoch": 2.251736593498194, + "grad_norm": 0.017215240746736526, + "learning_rate": 0.0008267326732673268, + "loss": 0.4935, + "step": 1013 + }, + { + "epoch": 2.2539594331758823, + "grad_norm": 0.014085826463997364, + "learning_rate": 0.0008242574257425743, + "loss": 0.6251, + "step": 1014 + }, + { + "epoch": 2.2561822728535703, + "grad_norm": 0.02178933471441269, + "learning_rate": 0.0008217821782178218, + "loss": 0.4698, + "step": 1015 + }, + { + "epoch": 2.2584051125312588, + "grad_norm": 0.019534152001142502, + "learning_rate": 0.0008193069306930694, + "loss": 0.5568, + "step": 1016 + }, + { + "epoch": 2.2606279522089467, + "grad_norm": 0.012782914564013481, + "learning_rate": 0.0008168316831683169, + "loss": 0.6018, + "step": 1017 + }, + { + "epoch": 2.262850791886635, + "grad_norm": 0.014194606803357601, + "learning_rate": 0.0008143564356435643, + "loss": 0.5657, + "step": 1018 + }, + { + "epoch": 2.2650736315643236, + "grad_norm": 0.011684983968734741, + "learning_rate": 0.0008118811881188118, + "loss": 0.572, + "step": 1019 + }, + { + "epoch": 2.2672964712420116, + "grad_norm": 0.017416108399629593, + "learning_rate": 0.0008094059405940595, + "loss": 0.6647, + "step": 1020 + }, + { + "epoch": 2.2695193109197, + "grad_norm": 0.021715115755796432, + "learning_rate": 0.0008069306930693069, + "loss": 0.5813, + "step": 1021 + }, + { + "epoch": 2.271742150597388, + "grad_norm": 0.013240072876214981, + "learning_rate": 0.0008044554455445544, + "loss": 0.5668, + "step": 1022 + }, + { + "epoch": 2.2739649902750765, + "grad_norm": 0.020175835117697716, + "learning_rate": 0.000801980198019802, + "loss": 0.656, + "step": 1023 + }, + { + "epoch": 2.2761878299527645, + "grad_norm": 0.017000149935483932, + "learning_rate": 0.0007995049504950495, + "loss": 0.676, + "step": 1024 + }, + { + "epoch": 2.278410669630453, + "grad_norm": 0.016977574676275253, + "learning_rate": 0.000797029702970297, + "loss": 0.4404, + "step": 1025 + }, + { + "epoch": 2.2806335093081413, + "grad_norm": 0.01674072816967964, + "learning_rate": 0.0007945544554455446, + "loss": 0.7254, + "step": 1026 + }, + { + "epoch": 2.2828563489858293, + "grad_norm": 0.01809377409517765, + "learning_rate": 0.000792079207920792, + "loss": 0.6138, + "step": 1027 + }, + { + "epoch": 2.285079188663518, + "grad_norm": 0.01745619997382164, + "learning_rate": 0.0007896039603960395, + "loss": 0.5348, + "step": 1028 + }, + { + "epoch": 2.2873020283412058, + "grad_norm": 0.013998817652463913, + "learning_rate": 0.0007871287128712872, + "loss": 0.6114, + "step": 1029 + }, + { + "epoch": 2.289524868018894, + "grad_norm": 0.017970522865653038, + "learning_rate": 0.0007846534653465346, + "loss": 0.5384, + "step": 1030 + }, + { + "epoch": 2.291747707696582, + "grad_norm": 0.01691269688308239, + "learning_rate": 0.0007821782178217821, + "loss": 0.6129, + "step": 1031 + }, + { + "epoch": 2.2939705473742706, + "grad_norm": 0.015712127089500427, + "learning_rate": 0.0007797029702970297, + "loss": 0.5979, + "step": 1032 + }, + { + "epoch": 2.296193387051959, + "grad_norm": 0.01665470376610756, + "learning_rate": 0.0007772277227722774, + "loss": 0.6595, + "step": 1033 + }, + { + "epoch": 2.298416226729647, + "grad_norm": 0.018899960443377495, + "learning_rate": 0.0007747524752475247, + "loss": 0.6313, + "step": 1034 + }, + { + "epoch": 2.3006390664073355, + "grad_norm": 0.01907293312251568, + "learning_rate": 0.0007722772277227723, + "loss": 0.6861, + "step": 1035 + }, + { + "epoch": 2.3028619060850235, + "grad_norm": 0.01808004081249237, + "learning_rate": 0.0007698019801980199, + "loss": 0.5455, + "step": 1036 + }, + { + "epoch": 2.305084745762712, + "grad_norm": 0.02773713693022728, + "learning_rate": 0.0007673267326732672, + "loss": 0.6716, + "step": 1037 + }, + { + "epoch": 2.3073075854404, + "grad_norm": 0.0136567959561944, + "learning_rate": 0.0007648514851485149, + "loss": 0.5891, + "step": 1038 + }, + { + "epoch": 2.3095304251180884, + "grad_norm": 0.01570400409400463, + "learning_rate": 0.0007623762376237625, + "loss": 0.648, + "step": 1039 + }, + { + "epoch": 2.311753264795777, + "grad_norm": 0.020001349970698357, + "learning_rate": 0.0007599009900990098, + "loss": 0.8376, + "step": 1040 + }, + { + "epoch": 2.313976104473465, + "grad_norm": 0.025027025490999222, + "learning_rate": 0.0007574257425742574, + "loss": 0.7757, + "step": 1041 + }, + { + "epoch": 2.3161989441511532, + "grad_norm": 0.023692984133958817, + "learning_rate": 0.0007549504950495051, + "loss": 0.6278, + "step": 1042 + }, + { + "epoch": 2.3184217838288412, + "grad_norm": 0.015494839288294315, + "learning_rate": 0.0007524752475247524, + "loss": 0.5303, + "step": 1043 + }, + { + "epoch": 2.3206446235065297, + "grad_norm": 0.01560200285166502, + "learning_rate": 0.00075, + "loss": 0.5107, + "step": 1044 + }, + { + "epoch": 2.3228674631842177, + "grad_norm": 0.03477834537625313, + "learning_rate": 0.0007475247524752475, + "loss": 0.6573, + "step": 1045 + }, + { + "epoch": 2.325090302861906, + "grad_norm": 0.030586643144488335, + "learning_rate": 0.0007450495049504951, + "loss": 0.5893, + "step": 1046 + }, + { + "epoch": 2.3273131425395945, + "grad_norm": 0.0189833864569664, + "learning_rate": 0.0007425742574257426, + "loss": 0.4884, + "step": 1047 + }, + { + "epoch": 2.3295359822172825, + "grad_norm": 0.01656891033053398, + "learning_rate": 0.0007400990099009901, + "loss": 0.545, + "step": 1048 + }, + { + "epoch": 2.331758821894971, + "grad_norm": 0.017621248960494995, + "learning_rate": 0.0007376237623762376, + "loss": 0.5904, + "step": 1049 + }, + { + "epoch": 2.333981661572659, + "grad_norm": 0.029514534398913383, + "learning_rate": 0.0007351485148514852, + "loss": 0.7345, + "step": 1050 + }, + { + "epoch": 2.3362045012503474, + "grad_norm": 0.014921414665877819, + "learning_rate": 0.0007326732673267328, + "loss": 0.5596, + "step": 1051 + }, + { + "epoch": 2.3384273409280354, + "grad_norm": 0.020877940580248833, + "learning_rate": 0.0007301980198019802, + "loss": 0.598, + "step": 1052 + }, + { + "epoch": 2.340650180605724, + "grad_norm": 0.01902448944747448, + "learning_rate": 0.0007277227722772277, + "loss": 0.5555, + "step": 1053 + }, + { + "epoch": 2.3428730202834123, + "grad_norm": 0.01561102457344532, + "learning_rate": 0.0007252475247524753, + "loss": 0.547, + "step": 1054 + }, + { + "epoch": 2.3450958599611003, + "grad_norm": 0.0154028395190835, + "learning_rate": 0.0007227722772277228, + "loss": 0.5978, + "step": 1055 + }, + { + "epoch": 2.3473186996387887, + "grad_norm": 0.014076720923185349, + "learning_rate": 0.0007202970297029703, + "loss": 0.6162, + "step": 1056 + }, + { + "epoch": 2.3495415393164767, + "grad_norm": 0.01202862337231636, + "learning_rate": 0.0007178217821782179, + "loss": 0.5687, + "step": 1057 + }, + { + "epoch": 2.351764378994165, + "grad_norm": 0.015466923825442791, + "learning_rate": 0.0007153465346534653, + "loss": 0.499, + "step": 1058 + }, + { + "epoch": 2.353987218671853, + "grad_norm": 0.014686975628137589, + "learning_rate": 0.0007128712871287129, + "loss": 0.509, + "step": 1059 + }, + { + "epoch": 2.3562100583495416, + "grad_norm": 0.019549714401364326, + "learning_rate": 0.0007103960396039605, + "loss": 0.5659, + "step": 1060 + }, + { + "epoch": 2.35843289802723, + "grad_norm": 0.010959336534142494, + "learning_rate": 0.0007079207920792079, + "loss": 0.4723, + "step": 1061 + }, + { + "epoch": 2.360655737704918, + "grad_norm": 0.017420019954442978, + "learning_rate": 0.0007054455445544554, + "loss": 0.6579, + "step": 1062 + }, + { + "epoch": 2.3628785773826064, + "grad_norm": 0.016592038795351982, + "learning_rate": 0.000702970297029703, + "loss": 0.624, + "step": 1063 + }, + { + "epoch": 2.3651014170602944, + "grad_norm": 0.015422000549733639, + "learning_rate": 0.0007004950495049505, + "loss": 0.6795, + "step": 1064 + }, + { + "epoch": 2.367324256737983, + "grad_norm": 0.02857932634651661, + "learning_rate": 0.0006980198019801981, + "loss": 0.6188, + "step": 1065 + }, + { + "epoch": 2.369547096415671, + "grad_norm": 0.020330024883151054, + "learning_rate": 0.0006955445544554456, + "loss": 0.5202, + "step": 1066 + }, + { + "epoch": 2.3717699360933593, + "grad_norm": 0.04005992412567139, + "learning_rate": 0.000693069306930693, + "loss": 0.5341, + "step": 1067 + }, + { + "epoch": 2.3739927757710477, + "grad_norm": 0.014854200184345245, + "learning_rate": 0.0006905940594059407, + "loss": 0.55, + "step": 1068 + }, + { + "epoch": 2.3762156154487357, + "grad_norm": 0.012588760815560818, + "learning_rate": 0.0006881188118811882, + "loss": 0.5753, + "step": 1069 + }, + { + "epoch": 2.378438455126424, + "grad_norm": 0.034118834882974625, + "learning_rate": 0.0006856435643564356, + "loss": 0.602, + "step": 1070 + }, + { + "epoch": 2.380661294804112, + "grad_norm": 0.021048780530691147, + "learning_rate": 0.0006831683168316832, + "loss": 0.7728, + "step": 1071 + }, + { + "epoch": 2.3828841344818006, + "grad_norm": 0.020414873957633972, + "learning_rate": 0.0006806930693069306, + "loss": 0.6985, + "step": 1072 + }, + { + "epoch": 2.3851069741594886, + "grad_norm": 0.012938344851136208, + "learning_rate": 0.0006782178217821782, + "loss": 0.5337, + "step": 1073 + }, + { + "epoch": 2.387329813837177, + "grad_norm": 0.01313922181725502, + "learning_rate": 0.0006757425742574258, + "loss": 0.4339, + "step": 1074 + }, + { + "epoch": 2.3895526535148655, + "grad_norm": 0.01818598248064518, + "learning_rate": 0.0006732673267326732, + "loss": 0.6091, + "step": 1075 + }, + { + "epoch": 2.3917754931925534, + "grad_norm": 0.017337147146463394, + "learning_rate": 0.0006707920792079208, + "loss": 0.4966, + "step": 1076 + }, + { + "epoch": 2.393998332870242, + "grad_norm": 0.017781397327780724, + "learning_rate": 0.0006683168316831684, + "loss": 0.6172, + "step": 1077 + }, + { + "epoch": 2.39622117254793, + "grad_norm": 0.028531668707728386, + "learning_rate": 0.0006658415841584158, + "loss": 0.6679, + "step": 1078 + }, + { + "epoch": 2.3984440122256183, + "grad_norm": 0.023334413766860962, + "learning_rate": 0.0006633663366336634, + "loss": 0.558, + "step": 1079 + }, + { + "epoch": 2.4006668519033063, + "grad_norm": 0.018032846972346306, + "learning_rate": 0.0006608910891089109, + "loss": 0.5269, + "step": 1080 + }, + { + "epoch": 2.4028896915809947, + "grad_norm": 0.015402448363602161, + "learning_rate": 0.0006584158415841584, + "loss": 0.7979, + "step": 1081 + }, + { + "epoch": 2.405112531258683, + "grad_norm": 0.019905133172869682, + "learning_rate": 0.000655940594059406, + "loss": 0.6255, + "step": 1082 + }, + { + "epoch": 2.407335370936371, + "grad_norm": 0.022906949743628502, + "learning_rate": 0.0006534653465346535, + "loss": 0.5736, + "step": 1083 + }, + { + "epoch": 2.4095582106140596, + "grad_norm": 0.014906423166394234, + "learning_rate": 0.0006509900990099009, + "loss": 0.5573, + "step": 1084 + }, + { + "epoch": 2.4117810502917476, + "grad_norm": 0.014077015221118927, + "learning_rate": 0.0006485148514851485, + "loss": 0.4867, + "step": 1085 + }, + { + "epoch": 2.414003889969436, + "grad_norm": 0.02250657044351101, + "learning_rate": 0.0006460396039603961, + "loss": 0.6064, + "step": 1086 + }, + { + "epoch": 2.416226729647124, + "grad_norm": 0.019261633977293968, + "learning_rate": 0.0006435643564356435, + "loss": 0.6381, + "step": 1087 + }, + { + "epoch": 2.4184495693248125, + "grad_norm": 0.019322820007801056, + "learning_rate": 0.0006410891089108911, + "loss": 0.5413, + "step": 1088 + }, + { + "epoch": 2.420672409002501, + "grad_norm": 0.021883083507418633, + "learning_rate": 0.0006386138613861386, + "loss": 0.6144, + "step": 1089 + }, + { + "epoch": 2.422895248680189, + "grad_norm": 0.02103458158671856, + "learning_rate": 0.0006361386138613862, + "loss": 0.5646, + "step": 1090 + }, + { + "epoch": 2.4251180883578773, + "grad_norm": 0.01773696579039097, + "learning_rate": 0.0006336633663366337, + "loss": 0.5891, + "step": 1091 + }, + { + "epoch": 2.4273409280355653, + "grad_norm": 0.024175936356186867, + "learning_rate": 0.0006311881188118812, + "loss": 0.6319, + "step": 1092 + }, + { + "epoch": 2.4295637677132538, + "grad_norm": 0.01638614386320114, + "learning_rate": 0.0006287128712871287, + "loss": 0.6784, + "step": 1093 + }, + { + "epoch": 2.4317866073909418, + "grad_norm": 0.015058539807796478, + "learning_rate": 0.0006262376237623763, + "loss": 0.5012, + "step": 1094 + }, + { + "epoch": 2.43400944706863, + "grad_norm": 0.012811798602342606, + "learning_rate": 0.0006237623762376238, + "loss": 0.6107, + "step": 1095 + }, + { + "epoch": 2.4362322867463186, + "grad_norm": 0.0197319146245718, + "learning_rate": 0.0006212871287128713, + "loss": 0.5236, + "step": 1096 + }, + { + "epoch": 2.4384551264240066, + "grad_norm": 0.018934501335024834, + "learning_rate": 0.0006188118811881188, + "loss": 0.521, + "step": 1097 + }, + { + "epoch": 2.440677966101695, + "grad_norm": 0.014251308515667915, + "learning_rate": 0.0006163366336633663, + "loss": 0.7587, + "step": 1098 + }, + { + "epoch": 2.442900805779383, + "grad_norm": 0.018055707216262817, + "learning_rate": 0.0006138613861386139, + "loss": 0.5067, + "step": 1099 + }, + { + "epoch": 2.4451236454570715, + "grad_norm": 0.018532631918787956, + "learning_rate": 0.0006113861386138614, + "loss": 0.5683, + "step": 1100 + }, + { + "epoch": 2.4473464851347595, + "grad_norm": 0.01650720275938511, + "learning_rate": 0.000608910891089109, + "loss": 0.7914, + "step": 1101 + }, + { + "epoch": 2.449569324812448, + "grad_norm": 0.017233526334166527, + "learning_rate": 0.0006064356435643564, + "loss": 0.5865, + "step": 1102 + }, + { + "epoch": 2.4517921644901364, + "grad_norm": 0.012895757332444191, + "learning_rate": 0.000603960396039604, + "loss": 0.689, + "step": 1103 + }, + { + "epoch": 2.4540150041678244, + "grad_norm": 0.01163373701274395, + "learning_rate": 0.0006014851485148516, + "loss": 0.5351, + "step": 1104 + }, + { + "epoch": 2.456237843845513, + "grad_norm": 0.02952023595571518, + "learning_rate": 0.000599009900990099, + "loss": 0.6504, + "step": 1105 + }, + { + "epoch": 2.458460683523201, + "grad_norm": 0.017913196235895157, + "learning_rate": 0.0005965346534653465, + "loss": 0.7684, + "step": 1106 + }, + { + "epoch": 2.4606835232008892, + "grad_norm": 0.015341251157224178, + "learning_rate": 0.0005940594059405942, + "loss": 0.6273, + "step": 1107 + }, + { + "epoch": 2.4629063628785772, + "grad_norm": 0.02385122701525688, + "learning_rate": 0.0005915841584158416, + "loss": 0.641, + "step": 1108 + }, + { + "epoch": 2.4651292025562657, + "grad_norm": 0.020036252215504646, + "learning_rate": 0.0005891089108910891, + "loss": 0.5889, + "step": 1109 + }, + { + "epoch": 2.467352042233954, + "grad_norm": 0.019238587468862534, + "learning_rate": 0.0005866336633663367, + "loss": 0.6194, + "step": 1110 + }, + { + "epoch": 2.469574881911642, + "grad_norm": 0.01825280860066414, + "learning_rate": 0.0005841584158415841, + "loss": 0.6515, + "step": 1111 + }, + { + "epoch": 2.4717977215893305, + "grad_norm": 0.019387997686862946, + "learning_rate": 0.0005816831683168317, + "loss": 0.5575, + "step": 1112 + }, + { + "epoch": 2.4740205612670185, + "grad_norm": 0.019788188859820366, + "learning_rate": 0.0005792079207920793, + "loss": 0.5544, + "step": 1113 + }, + { + "epoch": 2.476243400944707, + "grad_norm": 0.011799083091318607, + "learning_rate": 0.0005767326732673267, + "loss": 0.5047, + "step": 1114 + }, + { + "epoch": 2.478466240622395, + "grad_norm": 0.01735115796327591, + "learning_rate": 0.0005742574257425743, + "loss": 0.6194, + "step": 1115 + }, + { + "epoch": 2.4806890803000834, + "grad_norm": 0.017334984615445137, + "learning_rate": 0.0005717821782178219, + "loss": 0.6659, + "step": 1116 + }, + { + "epoch": 2.482911919977772, + "grad_norm": 0.013627518899738789, + "learning_rate": 0.0005693069306930693, + "loss": 0.6804, + "step": 1117 + }, + { + "epoch": 2.48513475965546, + "grad_norm": 0.015926288440823555, + "learning_rate": 0.0005668316831683169, + "loss": 0.552, + "step": 1118 + }, + { + "epoch": 2.4873575993331483, + "grad_norm": 0.031809452921152115, + "learning_rate": 0.0005643564356435644, + "loss": 0.5977, + "step": 1119 + }, + { + "epoch": 2.4895804390108363, + "grad_norm": 0.013694511726498604, + "learning_rate": 0.0005618811881188118, + "loss": 0.4524, + "step": 1120 + }, + { + "epoch": 2.4918032786885247, + "grad_norm": 0.02304377593100071, + "learning_rate": 0.0005594059405940595, + "loss": 0.5375, + "step": 1121 + }, + { + "epoch": 2.4940261183662127, + "grad_norm": 0.014395623467862606, + "learning_rate": 0.0005569306930693069, + "loss": 0.6207, + "step": 1122 + }, + { + "epoch": 2.496248958043901, + "grad_norm": 0.019711505621671677, + "learning_rate": 0.0005544554455445544, + "loss": 0.7473, + "step": 1123 + }, + { + "epoch": 2.4984717977215896, + "grad_norm": 0.019002612680196762, + "learning_rate": 0.000551980198019802, + "loss": 0.5221, + "step": 1124 + }, + { + "epoch": 2.5006946373992776, + "grad_norm": 0.02028425969183445, + "learning_rate": 0.0005495049504950495, + "loss": 0.6702, + "step": 1125 + }, + { + "epoch": 2.5029174770769655, + "grad_norm": 0.018800638616085052, + "learning_rate": 0.000547029702970297, + "loss": 0.566, + "step": 1126 + }, + { + "epoch": 2.505140316754654, + "grad_norm": 0.01781066693365574, + "learning_rate": 0.0005445544554455446, + "loss": 0.5553, + "step": 1127 + }, + { + "epoch": 2.5073631564323424, + "grad_norm": 0.02512913942337036, + "learning_rate": 0.000542079207920792, + "loss": 0.5782, + "step": 1128 + }, + { + "epoch": 2.5095859961100304, + "grad_norm": 0.016941504552960396, + "learning_rate": 0.0005396039603960396, + "loss": 0.4379, + "step": 1129 + }, + { + "epoch": 2.511808835787719, + "grad_norm": 0.018688999116420746, + "learning_rate": 0.0005371287128712872, + "loss": 0.5909, + "step": 1130 + }, + { + "epoch": 2.5140316754654073, + "grad_norm": 0.014856253750622272, + "learning_rate": 0.0005346534653465346, + "loss": 0.6463, + "step": 1131 + }, + { + "epoch": 2.5162545151430953, + "grad_norm": 0.01583769917488098, + "learning_rate": 0.0005321782178217822, + "loss": 0.5773, + "step": 1132 + }, + { + "epoch": 2.5184773548207833, + "grad_norm": 0.017723005264997482, + "learning_rate": 0.0005297029702970297, + "loss": 0.6589, + "step": 1133 + }, + { + "epoch": 2.5207001944984717, + "grad_norm": 0.01602606289088726, + "learning_rate": 0.0005272277227722772, + "loss": 0.5239, + "step": 1134 + }, + { + "epoch": 2.52292303417616, + "grad_norm": 0.02923739328980446, + "learning_rate": 0.0005247524752475248, + "loss": 0.6907, + "step": 1135 + }, + { + "epoch": 2.525145873853848, + "grad_norm": 0.018406685441732407, + "learning_rate": 0.0005222772277227723, + "loss": 0.5979, + "step": 1136 + }, + { + "epoch": 2.5273687135315366, + "grad_norm": 0.01883380301296711, + "learning_rate": 0.0005198019801980197, + "loss": 0.5477, + "step": 1137 + }, + { + "epoch": 2.529591553209225, + "grad_norm": 0.021243581548333168, + "learning_rate": 0.0005173267326732674, + "loss": 0.6081, + "step": 1138 + }, + { + "epoch": 2.531814392886913, + "grad_norm": 0.0210957620292902, + "learning_rate": 0.0005148514851485149, + "loss": 0.6677, + "step": 1139 + }, + { + "epoch": 2.534037232564601, + "grad_norm": 0.014948558993637562, + "learning_rate": 0.0005123762376237624, + "loss": 0.6664, + "step": 1140 + }, + { + "epoch": 2.5362600722422894, + "grad_norm": 0.0169658400118351, + "learning_rate": 0.0005099009900990099, + "loss": 0.5975, + "step": 1141 + }, + { + "epoch": 2.538482911919978, + "grad_norm": 0.01910773292183876, + "learning_rate": 0.0005074257425742574, + "loss": 0.7887, + "step": 1142 + }, + { + "epoch": 2.540705751597666, + "grad_norm": 0.022958895191550255, + "learning_rate": 0.000504950495049505, + "loss": 0.6042, + "step": 1143 + }, + { + "epoch": 2.5429285912753543, + "grad_norm": 0.015756452456116676, + "learning_rate": 0.0005024752475247525, + "loss": 0.5066, + "step": 1144 + }, + { + "epoch": 2.5451514309530427, + "grad_norm": 0.023179860785603523, + "learning_rate": 0.0005, + "loss": 0.7382, + "step": 1145 + }, + { + "epoch": 2.5473742706307307, + "grad_norm": 0.018427975475788116, + "learning_rate": 0.0004975247524752475, + "loss": 0.7563, + "step": 1146 + }, + { + "epoch": 2.5495971103084187, + "grad_norm": 0.016231978312134743, + "learning_rate": 0.0004950495049504951, + "loss": 0.5783, + "step": 1147 + }, + { + "epoch": 2.551819949986107, + "grad_norm": 0.014167056418955326, + "learning_rate": 0.0004925742574257426, + "loss": 0.5216, + "step": 1148 + }, + { + "epoch": 2.5540427896637956, + "grad_norm": 0.022291019558906555, + "learning_rate": 0.0004900990099009901, + "loss": 0.6444, + "step": 1149 + }, + { + "epoch": 2.5562656293414836, + "grad_norm": 0.0183990690857172, + "learning_rate": 0.0004876237623762376, + "loss": 0.5068, + "step": 1150 + }, + { + "epoch": 2.558488469019172, + "grad_norm": 0.0216660313308239, + "learning_rate": 0.0004851485148514851, + "loss": 0.6325, + "step": 1151 + }, + { + "epoch": 2.5607113086968605, + "grad_norm": 0.018358584493398666, + "learning_rate": 0.0004826732673267327, + "loss": 0.6248, + "step": 1152 + }, + { + "epoch": 2.5629341483745485, + "grad_norm": 0.018779192119836807, + "learning_rate": 0.0004801980198019802, + "loss": 0.6257, + "step": 1153 + }, + { + "epoch": 2.5651569880522365, + "grad_norm": 0.02526138722896576, + "learning_rate": 0.00047772277227722777, + "loss": 0.6264, + "step": 1154 + }, + { + "epoch": 2.567379827729925, + "grad_norm": 0.016142774373292923, + "learning_rate": 0.0004752475247524753, + "loss": 0.4821, + "step": 1155 + }, + { + "epoch": 2.5696026674076133, + "grad_norm": 0.010809332132339478, + "learning_rate": 0.00047277227722772276, + "loss": 0.6248, + "step": 1156 + }, + { + "epoch": 2.5718255070853013, + "grad_norm": 0.01412492711097002, + "learning_rate": 0.00047029702970297034, + "loss": 0.5484, + "step": 1157 + }, + { + "epoch": 2.5740483467629898, + "grad_norm": 0.01630065217614174, + "learning_rate": 0.0004678217821782178, + "loss": 0.5974, + "step": 1158 + }, + { + "epoch": 2.576271186440678, + "grad_norm": 0.023423103615641594, + "learning_rate": 0.0004653465346534653, + "loss": 0.5882, + "step": 1159 + }, + { + "epoch": 2.578494026118366, + "grad_norm": 0.019574182108044624, + "learning_rate": 0.0004628712871287129, + "loss": 0.691, + "step": 1160 + }, + { + "epoch": 2.580716865796054, + "grad_norm": 0.02245352789759636, + "learning_rate": 0.00046039603960396037, + "loss": 0.5872, + "step": 1161 + }, + { + "epoch": 2.5829397054737426, + "grad_norm": 0.021161986514925957, + "learning_rate": 0.0004579207920792079, + "loss": 0.6218, + "step": 1162 + }, + { + "epoch": 2.585162545151431, + "grad_norm": 0.015376755967736244, + "learning_rate": 0.00045544554455445547, + "loss": 0.5453, + "step": 1163 + }, + { + "epoch": 2.587385384829119, + "grad_norm": 0.020387450233101845, + "learning_rate": 0.00045297029702970294, + "loss": 0.6943, + "step": 1164 + }, + { + "epoch": 2.5896082245068075, + "grad_norm": 0.017321715131402016, + "learning_rate": 0.00045049504950495057, + "loss": 0.5572, + "step": 1165 + }, + { + "epoch": 2.591831064184496, + "grad_norm": 0.013957494869828224, + "learning_rate": 0.00044801980198019804, + "loss": 0.4917, + "step": 1166 + }, + { + "epoch": 2.594053903862184, + "grad_norm": 0.024132177233695984, + "learning_rate": 0.0004455445544554455, + "loss": 0.5059, + "step": 1167 + }, + { + "epoch": 2.596276743539872, + "grad_norm": 0.014031797647476196, + "learning_rate": 0.00044306930693069314, + "loss": 0.5578, + "step": 1168 + }, + { + "epoch": 2.5984995832175604, + "grad_norm": 0.015123395249247551, + "learning_rate": 0.0004405940594059406, + "loss": 0.6005, + "step": 1169 + }, + { + "epoch": 2.600722422895249, + "grad_norm": 0.016194505617022514, + "learning_rate": 0.0004381188118811881, + "loss": 0.6959, + "step": 1170 + }, + { + "epoch": 2.602945262572937, + "grad_norm": 0.015521598979830742, + "learning_rate": 0.0004356435643564357, + "loss": 0.6823, + "step": 1171 + }, + { + "epoch": 2.6051681022506252, + "grad_norm": 0.015657033771276474, + "learning_rate": 0.0004331683168316832, + "loss": 0.6982, + "step": 1172 + }, + { + "epoch": 2.6073909419283137, + "grad_norm": 0.017940111458301544, + "learning_rate": 0.00043069306930693064, + "loss": 0.6088, + "step": 1173 + }, + { + "epoch": 2.6096137816060017, + "grad_norm": 0.023241877555847168, + "learning_rate": 0.0004282178217821783, + "loss": 0.551, + "step": 1174 + }, + { + "epoch": 2.6118366212836897, + "grad_norm": 0.015215943567454815, + "learning_rate": 0.00042574257425742574, + "loss": 0.6157, + "step": 1175 + }, + { + "epoch": 2.614059460961378, + "grad_norm": 0.016419822350144386, + "learning_rate": 0.0004232673267326732, + "loss": 0.6533, + "step": 1176 + }, + { + "epoch": 2.6162823006390665, + "grad_norm": 0.01776900142431259, + "learning_rate": 0.00042079207920792084, + "loss": 0.7526, + "step": 1177 + }, + { + "epoch": 2.6185051403167545, + "grad_norm": 0.04952996224164963, + "learning_rate": 0.0004183168316831683, + "loss": 0.6754, + "step": 1178 + }, + { + "epoch": 2.620727979994443, + "grad_norm": 0.013856332749128342, + "learning_rate": 0.0004158415841584159, + "loss": 0.5468, + "step": 1179 + }, + { + "epoch": 2.6229508196721314, + "grad_norm": 0.018015973269939423, + "learning_rate": 0.0004133663366336634, + "loss": 0.6287, + "step": 1180 + }, + { + "epoch": 2.6251736593498194, + "grad_norm": 0.017965400591492653, + "learning_rate": 0.0004108910891089109, + "loss": 0.5121, + "step": 1181 + }, + { + "epoch": 2.6273964990275074, + "grad_norm": 0.033831071108579636, + "learning_rate": 0.00040841584158415845, + "loss": 0.5647, + "step": 1182 + }, + { + "epoch": 2.629619338705196, + "grad_norm": 0.01705920323729515, + "learning_rate": 0.0004059405940594059, + "loss": 0.6454, + "step": 1183 + }, + { + "epoch": 2.6318421783828843, + "grad_norm": 0.014178541488945484, + "learning_rate": 0.00040346534653465344, + "loss": 0.5411, + "step": 1184 + }, + { + "epoch": 2.6340650180605722, + "grad_norm": 0.018709300085902214, + "learning_rate": 0.000400990099009901, + "loss": 0.7137, + "step": 1185 + }, + { + "epoch": 2.6362878577382607, + "grad_norm": 0.019753027707338333, + "learning_rate": 0.0003985148514851485, + "loss": 0.6662, + "step": 1186 + }, + { + "epoch": 2.638510697415949, + "grad_norm": 0.021427631378173828, + "learning_rate": 0.000396039603960396, + "loss": 0.557, + "step": 1187 + }, + { + "epoch": 2.640733537093637, + "grad_norm": 0.014400881715118885, + "learning_rate": 0.0003935643564356436, + "loss": 0.5467, + "step": 1188 + }, + { + "epoch": 2.642956376771325, + "grad_norm": 0.0270222220569849, + "learning_rate": 0.00039108910891089106, + "loss": 0.5585, + "step": 1189 + }, + { + "epoch": 2.6451792164490135, + "grad_norm": 0.022014157846570015, + "learning_rate": 0.0003886138613861387, + "loss": 0.433, + "step": 1190 + }, + { + "epoch": 2.647402056126702, + "grad_norm": 0.015185764990746975, + "learning_rate": 0.00038613861386138616, + "loss": 0.6045, + "step": 1191 + }, + { + "epoch": 2.64962489580439, + "grad_norm": 0.018142223358154297, + "learning_rate": 0.0003836633663366336, + "loss": 0.5797, + "step": 1192 + }, + { + "epoch": 2.6518477354820784, + "grad_norm": 0.015990694984793663, + "learning_rate": 0.00038118811881188126, + "loss": 0.6177, + "step": 1193 + }, + { + "epoch": 2.654070575159767, + "grad_norm": 0.01589980535209179, + "learning_rate": 0.0003787128712871287, + "loss": 0.5231, + "step": 1194 + }, + { + "epoch": 2.656293414837455, + "grad_norm": 0.020976124331355095, + "learning_rate": 0.0003762376237623762, + "loss": 0.6988, + "step": 1195 + }, + { + "epoch": 2.658516254515143, + "grad_norm": 0.01627793163061142, + "learning_rate": 0.00037376237623762377, + "loss": 0.6378, + "step": 1196 + }, + { + "epoch": 2.6607390941928313, + "grad_norm": 0.02804560214281082, + "learning_rate": 0.0003712871287128713, + "loss": 0.62, + "step": 1197 + }, + { + "epoch": 2.6629619338705197, + "grad_norm": 0.033843785524368286, + "learning_rate": 0.0003688118811881188, + "loss": 0.6269, + "step": 1198 + }, + { + "epoch": 2.6651847735482077, + "grad_norm": 0.0171663835644722, + "learning_rate": 0.0003663366336633664, + "loss": 0.6803, + "step": 1199 + }, + { + "epoch": 2.667407613225896, + "grad_norm": 0.01909332536160946, + "learning_rate": 0.00036386138613861386, + "loss": 0.5866, + "step": 1200 + }, + { + "epoch": 2.6696304529035846, + "grad_norm": 0.014213655143976212, + "learning_rate": 0.0003613861386138614, + "loss": 0.5731, + "step": 1201 + }, + { + "epoch": 2.6718532925812726, + "grad_norm": 0.024629587307572365, + "learning_rate": 0.00035891089108910896, + "loss": 0.6168, + "step": 1202 + }, + { + "epoch": 2.6740761322589606, + "grad_norm": 0.018423261120915413, + "learning_rate": 0.0003564356435643564, + "loss": 0.566, + "step": 1203 + }, + { + "epoch": 2.676298971936649, + "grad_norm": 0.01580965891480446, + "learning_rate": 0.00035396039603960395, + "loss": 0.5403, + "step": 1204 + }, + { + "epoch": 2.6785218116143374, + "grad_norm": 0.01555953361093998, + "learning_rate": 0.0003514851485148515, + "loss": 0.5308, + "step": 1205 + }, + { + "epoch": 2.6807446512920254, + "grad_norm": 0.023963620886206627, + "learning_rate": 0.00034900990099009905, + "loss": 0.5788, + "step": 1206 + }, + { + "epoch": 2.682967490969714, + "grad_norm": 0.015511863864958286, + "learning_rate": 0.0003465346534653465, + "loss": 0.707, + "step": 1207 + }, + { + "epoch": 2.6851903306474023, + "grad_norm": 0.01718342863023281, + "learning_rate": 0.0003440594059405941, + "loss": 0.5708, + "step": 1208 + }, + { + "epoch": 2.6874131703250903, + "grad_norm": 0.027808725833892822, + "learning_rate": 0.0003415841584158416, + "loss": 0.7655, + "step": 1209 + }, + { + "epoch": 2.6896360100027783, + "grad_norm": 0.016733597964048386, + "learning_rate": 0.0003391089108910891, + "loss": 0.5219, + "step": 1210 + }, + { + "epoch": 2.6918588496804667, + "grad_norm": 0.015038656070828438, + "learning_rate": 0.0003366336633663366, + "loss": 0.6082, + "step": 1211 + }, + { + "epoch": 2.694081689358155, + "grad_norm": 0.021239133551716805, + "learning_rate": 0.0003341584158415842, + "loss": 0.587, + "step": 1212 + }, + { + "epoch": 2.696304529035843, + "grad_norm": 0.018834024667739868, + "learning_rate": 0.0003316831683168317, + "loss": 0.5195, + "step": 1213 + }, + { + "epoch": 2.6985273687135316, + "grad_norm": 0.04993009567260742, + "learning_rate": 0.0003292079207920792, + "loss": 0.6812, + "step": 1214 + }, + { + "epoch": 2.70075020839122, + "grad_norm": 0.021933620795607567, + "learning_rate": 0.00032673267326732675, + "loss": 0.4748, + "step": 1215 + }, + { + "epoch": 2.702973048068908, + "grad_norm": 0.014722834341228008, + "learning_rate": 0.0003242574257425743, + "loss": 0.438, + "step": 1216 + }, + { + "epoch": 2.705195887746596, + "grad_norm": 0.013122837990522385, + "learning_rate": 0.00032178217821782174, + "loss": 0.6231, + "step": 1217 + }, + { + "epoch": 2.7074187274242845, + "grad_norm": 0.016432546079158783, + "learning_rate": 0.0003193069306930693, + "loss": 0.5908, + "step": 1218 + }, + { + "epoch": 2.709641567101973, + "grad_norm": 0.016996275633573532, + "learning_rate": 0.00031683168316831684, + "loss": 0.7369, + "step": 1219 + }, + { + "epoch": 2.711864406779661, + "grad_norm": 0.02186731994152069, + "learning_rate": 0.00031435643564356436, + "loss": 0.6629, + "step": 1220 + }, + { + "epoch": 2.7140872464573493, + "grad_norm": 0.016827069222927094, + "learning_rate": 0.0003118811881188119, + "loss": 0.5866, + "step": 1221 + }, + { + "epoch": 2.7163100861350378, + "grad_norm": 0.015328455716371536, + "learning_rate": 0.0003094059405940594, + "loss": 0.6301, + "step": 1222 + }, + { + "epoch": 2.7185329258127258, + "grad_norm": 0.02612834982573986, + "learning_rate": 0.00030693069306930693, + "loss": 0.4968, + "step": 1223 + }, + { + "epoch": 2.7207557654904138, + "grad_norm": 0.018258119001984596, + "learning_rate": 0.0003044554455445545, + "loss": 0.5323, + "step": 1224 + }, + { + "epoch": 2.722978605168102, + "grad_norm": 0.02044299617409706, + "learning_rate": 0.000301980198019802, + "loss": 0.7331, + "step": 1225 + }, + { + "epoch": 2.7252014448457906, + "grad_norm": 0.015368648804724216, + "learning_rate": 0.0002995049504950495, + "loss": 0.6208, + "step": 1226 + }, + { + "epoch": 2.7274242845234786, + "grad_norm": 0.018496476113796234, + "learning_rate": 0.0002970297029702971, + "loss": 0.5622, + "step": 1227 + }, + { + "epoch": 2.729647124201167, + "grad_norm": 0.021723395213484764, + "learning_rate": 0.00029455445544554455, + "loss": 0.6789, + "step": 1228 + }, + { + "epoch": 2.7318699638788555, + "grad_norm": 0.01531304232776165, + "learning_rate": 0.00029207920792079207, + "loss": 0.6396, + "step": 1229 + }, + { + "epoch": 2.7340928035565435, + "grad_norm": 0.02245800755918026, + "learning_rate": 0.00028960396039603964, + "loss": 0.6289, + "step": 1230 + }, + { + "epoch": 2.7363156432342315, + "grad_norm": 0.0517827607691288, + "learning_rate": 0.00028712871287128717, + "loss": 0.7297, + "step": 1231 + }, + { + "epoch": 2.73853848291192, + "grad_norm": 0.014105240814387798, + "learning_rate": 0.00028465346534653464, + "loss": 0.5948, + "step": 1232 + }, + { + "epoch": 2.7407613225896084, + "grad_norm": 0.018385961651802063, + "learning_rate": 0.0002821782178217822, + "loss": 0.6336, + "step": 1233 + }, + { + "epoch": 2.7429841622672964, + "grad_norm": 0.014009015634655952, + "learning_rate": 0.00027970297029702973, + "loss": 0.5458, + "step": 1234 + }, + { + "epoch": 2.745207001944985, + "grad_norm": 0.014900448732078075, + "learning_rate": 0.0002772277227722772, + "loss": 0.6029, + "step": 1235 + }, + { + "epoch": 2.7474298416226732, + "grad_norm": 0.01685742661356926, + "learning_rate": 0.0002747524752475247, + "loss": 0.5911, + "step": 1236 + }, + { + "epoch": 2.7496526813003612, + "grad_norm": 0.01696729101240635, + "learning_rate": 0.0002722772277227723, + "loss": 0.489, + "step": 1237 + }, + { + "epoch": 2.751875520978049, + "grad_norm": 0.01900607720017433, + "learning_rate": 0.0002698019801980198, + "loss": 0.6149, + "step": 1238 + }, + { + "epoch": 2.7540983606557377, + "grad_norm": 0.012541387230157852, + "learning_rate": 0.0002673267326732673, + "loss": 0.6309, + "step": 1239 + }, + { + "epoch": 2.756321200333426, + "grad_norm": 0.018375830724835396, + "learning_rate": 0.00026485148514851487, + "loss": 0.5464, + "step": 1240 + }, + { + "epoch": 2.758544040011114, + "grad_norm": 0.015132361091673374, + "learning_rate": 0.0002623762376237624, + "loss": 0.6358, + "step": 1241 + }, + { + "epoch": 2.7607668796888025, + "grad_norm": 0.0193571038544178, + "learning_rate": 0.00025990099009900986, + "loss": 0.5601, + "step": 1242 + }, + { + "epoch": 2.762989719366491, + "grad_norm": 0.024456117302179337, + "learning_rate": 0.00025742574257425744, + "loss": 0.7201, + "step": 1243 + }, + { + "epoch": 2.765212559044179, + "grad_norm": 0.014225888065993786, + "learning_rate": 0.00025495049504950496, + "loss": 0.6177, + "step": 1244 + }, + { + "epoch": 2.767435398721867, + "grad_norm": 0.0177957434207201, + "learning_rate": 0.0002524752475247525, + "loss": 0.6382, + "step": 1245 + }, + { + "epoch": 2.7696582383995554, + "grad_norm": 0.022806817665696144, + "learning_rate": 0.00025, + "loss": 0.565, + "step": 1246 + }, + { + "epoch": 2.771881078077244, + "grad_norm": 0.016606708988547325, + "learning_rate": 0.00024752475247524753, + "loss": 0.524, + "step": 1247 + }, + { + "epoch": 2.774103917754932, + "grad_norm": 0.013806411065161228, + "learning_rate": 0.00024504950495049505, + "loss": 0.4843, + "step": 1248 + }, + { + "epoch": 2.7763267574326203, + "grad_norm": 0.01461612805724144, + "learning_rate": 0.00024257425742574255, + "loss": 0.5291, + "step": 1249 + }, + { + "epoch": 2.7785495971103087, + "grad_norm": 0.02402338944375515, + "learning_rate": 0.0002400990099009901, + "loss": 0.5735, + "step": 1250 + }, + { + "epoch": 2.7807724367879967, + "grad_norm": 0.01479054894298315, + "learning_rate": 0.00023762376237623765, + "loss": 0.574, + "step": 1251 + }, + { + "epoch": 2.7829952764656847, + "grad_norm": 0.02644219435751438, + "learning_rate": 0.00023514851485148517, + "loss": 0.5969, + "step": 1252 + }, + { + "epoch": 2.785218116143373, + "grad_norm": 0.05949250981211662, + "learning_rate": 0.00023267326732673266, + "loss": 0.6232, + "step": 1253 + }, + { + "epoch": 2.7874409558210616, + "grad_norm": 0.015891224145889282, + "learning_rate": 0.00023019801980198019, + "loss": 0.5959, + "step": 1254 + }, + { + "epoch": 2.7896637954987495, + "grad_norm": 0.012178865261375904, + "learning_rate": 0.00022772277227722774, + "loss": 0.5764, + "step": 1255 + }, + { + "epoch": 2.791886635176438, + "grad_norm": 0.014039144851267338, + "learning_rate": 0.00022524752475247528, + "loss": 0.6795, + "step": 1256 + }, + { + "epoch": 2.7941094748541264, + "grad_norm": 0.012444275431334972, + "learning_rate": 0.00022277227722772275, + "loss": 0.538, + "step": 1257 + }, + { + "epoch": 2.7963323145318144, + "grad_norm": 0.016555974259972572, + "learning_rate": 0.0002202970297029703, + "loss": 0.5226, + "step": 1258 + }, + { + "epoch": 2.7985551542095024, + "grad_norm": 0.02042076364159584, + "learning_rate": 0.00021782178217821785, + "loss": 0.6182, + "step": 1259 + }, + { + "epoch": 2.800777993887191, + "grad_norm": 0.018156493082642555, + "learning_rate": 0.00021534653465346532, + "loss": 0.6077, + "step": 1260 + }, + { + "epoch": 2.8030008335648793, + "grad_norm": 0.015342988073825836, + "learning_rate": 0.00021287128712871287, + "loss": 0.6097, + "step": 1261 + }, + { + "epoch": 2.8052236732425673, + "grad_norm": 0.017595073208212852, + "learning_rate": 0.00021039603960396042, + "loss": 0.6639, + "step": 1262 + }, + { + "epoch": 2.8074465129202557, + "grad_norm": 0.015470032580196857, + "learning_rate": 0.00020792079207920794, + "loss": 0.6588, + "step": 1263 + }, + { + "epoch": 2.809669352597944, + "grad_norm": 0.016241345554590225, + "learning_rate": 0.00020544554455445544, + "loss": 0.5132, + "step": 1264 + }, + { + "epoch": 2.811892192275632, + "grad_norm": 0.024083595722913742, + "learning_rate": 0.00020297029702970296, + "loss": 0.6011, + "step": 1265 + }, + { + "epoch": 2.81411503195332, + "grad_norm": 0.013913623988628387, + "learning_rate": 0.0002004950495049505, + "loss": 0.5177, + "step": 1266 + }, + { + "epoch": 2.8163378716310086, + "grad_norm": 0.020045112818479538, + "learning_rate": 0.000198019801980198, + "loss": 0.6554, + "step": 1267 + }, + { + "epoch": 2.818560711308697, + "grad_norm": 0.02670402266085148, + "learning_rate": 0.00019554455445544553, + "loss": 0.5696, + "step": 1268 + }, + { + "epoch": 2.820783550986385, + "grad_norm": 0.015266619622707367, + "learning_rate": 0.00019306930693069308, + "loss": 0.5624, + "step": 1269 + }, + { + "epoch": 2.8230063906640734, + "grad_norm": 0.019668592140078545, + "learning_rate": 0.00019059405940594063, + "loss": 0.568, + "step": 1270 + }, + { + "epoch": 2.825229230341762, + "grad_norm": 0.04979453608393669, + "learning_rate": 0.0001881188118811881, + "loss": 0.5098, + "step": 1271 + }, + { + "epoch": 2.82745207001945, + "grad_norm": 0.028548695147037506, + "learning_rate": 0.00018564356435643565, + "loss": 0.6911, + "step": 1272 + }, + { + "epoch": 2.829674909697138, + "grad_norm": 0.02356465719640255, + "learning_rate": 0.0001831683168316832, + "loss": 0.5654, + "step": 1273 + }, + { + "epoch": 2.8318977493748263, + "grad_norm": 0.021715005859732628, + "learning_rate": 0.0001806930693069307, + "loss": 0.4995, + "step": 1274 + }, + { + "epoch": 2.8341205890525147, + "grad_norm": 0.014024381525814533, + "learning_rate": 0.0001782178217821782, + "loss": 0.6592, + "step": 1275 + }, + { + "epoch": 2.8363434287302027, + "grad_norm": 0.020154127851128578, + "learning_rate": 0.00017574257425742576, + "loss": 0.6721, + "step": 1276 + }, + { + "epoch": 2.838566268407891, + "grad_norm": 0.0298357754945755, + "learning_rate": 0.00017326732673267326, + "loss": 0.6803, + "step": 1277 + }, + { + "epoch": 2.840789108085579, + "grad_norm": 0.026704518124461174, + "learning_rate": 0.0001707920792079208, + "loss": 0.7333, + "step": 1278 + }, + { + "epoch": 2.8430119477632676, + "grad_norm": 0.017025306820869446, + "learning_rate": 0.0001683168316831683, + "loss": 0.6408, + "step": 1279 + }, + { + "epoch": 2.8452347874409556, + "grad_norm": 0.014133095741271973, + "learning_rate": 0.00016584158415841585, + "loss": 0.6176, + "step": 1280 + }, + { + "epoch": 2.847457627118644, + "grad_norm": 0.019554702565073967, + "learning_rate": 0.00016336633663366338, + "loss": 0.4898, + "step": 1281 + }, + { + "epoch": 2.8496804667963325, + "grad_norm": 0.027809258550405502, + "learning_rate": 0.00016089108910891087, + "loss": 0.5767, + "step": 1282 + }, + { + "epoch": 2.8519033064740205, + "grad_norm": 0.016597462818026543, + "learning_rate": 0.00015841584158415842, + "loss": 0.4662, + "step": 1283 + }, + { + "epoch": 2.854126146151709, + "grad_norm": 0.04323901981115341, + "learning_rate": 0.00015594059405940594, + "loss": 0.6596, + "step": 1284 + }, + { + "epoch": 2.856348985829397, + "grad_norm": 0.020414169877767563, + "learning_rate": 0.00015346534653465347, + "loss": 0.601, + "step": 1285 + }, + { + "epoch": 2.8585718255070853, + "grad_norm": 0.020976142957806587, + "learning_rate": 0.000150990099009901, + "loss": 0.6277, + "step": 1286 + }, + { + "epoch": 2.8607946651847733, + "grad_norm": 0.016226671636104584, + "learning_rate": 0.00014851485148514854, + "loss": 0.6328, + "step": 1287 + }, + { + "epoch": 2.8630175048624618, + "grad_norm": 0.022331437095999718, + "learning_rate": 0.00014603960396039603, + "loss": 0.5317, + "step": 1288 + }, + { + "epoch": 2.86524034454015, + "grad_norm": 0.028064247220754623, + "learning_rate": 0.00014356435643564358, + "loss": 0.5249, + "step": 1289 + }, + { + "epoch": 2.867463184217838, + "grad_norm": 0.011397906579077244, + "learning_rate": 0.0001410891089108911, + "loss": 0.5118, + "step": 1290 + }, + { + "epoch": 2.8696860238955266, + "grad_norm": 0.015670351684093475, + "learning_rate": 0.0001386138613861386, + "loss": 0.5159, + "step": 1291 + }, + { + "epoch": 2.8719088635732146, + "grad_norm": 0.015906330198049545, + "learning_rate": 0.00013613861386138615, + "loss": 0.5301, + "step": 1292 + }, + { + "epoch": 2.874131703250903, + "grad_norm": 0.014323754236102104, + "learning_rate": 0.00013366336633663365, + "loss": 0.6323, + "step": 1293 + }, + { + "epoch": 2.876354542928591, + "grad_norm": 0.017434075474739075, + "learning_rate": 0.0001311881188118812, + "loss": 0.7477, + "step": 1294 + }, + { + "epoch": 2.8785773826062795, + "grad_norm": 0.013494400307536125, + "learning_rate": 0.00012871287128712872, + "loss": 0.5316, + "step": 1295 + }, + { + "epoch": 2.880800222283968, + "grad_norm": 0.018436387181282043, + "learning_rate": 0.00012623762376237624, + "loss": 0.6895, + "step": 1296 + }, + { + "epoch": 2.883023061961656, + "grad_norm": 0.014047752134501934, + "learning_rate": 0.00012376237623762376, + "loss": 0.5798, + "step": 1297 + }, + { + "epoch": 2.8852459016393444, + "grad_norm": 0.014521469362080097, + "learning_rate": 0.00012128712871287127, + "loss": 0.7352, + "step": 1298 + }, + { + "epoch": 2.8874687413170324, + "grad_norm": 0.018711743876338005, + "learning_rate": 0.00011881188118811882, + "loss": 0.4314, + "step": 1299 + }, + { + "epoch": 2.889691580994721, + "grad_norm": 0.017838047817349434, + "learning_rate": 0.00011633663366336633, + "loss": 0.5504, + "step": 1300 + }, + { + "epoch": 2.891914420672409, + "grad_norm": 0.023302067071199417, + "learning_rate": 0.00011386138613861387, + "loss": 0.5713, + "step": 1301 + }, + { + "epoch": 2.894137260350097, + "grad_norm": 0.015559905208647251, + "learning_rate": 0.00011138613861386138, + "loss": 0.6113, + "step": 1302 + }, + { + "epoch": 2.8963601000277857, + "grad_norm": 0.023848090320825577, + "learning_rate": 0.00010891089108910893, + "loss": 0.7445, + "step": 1303 + }, + { + "epoch": 2.8985829397054736, + "grad_norm": 0.014597102999687195, + "learning_rate": 0.00010643564356435644, + "loss": 0.5805, + "step": 1304 + }, + { + "epoch": 2.900805779383162, + "grad_norm": 0.01882697455585003, + "learning_rate": 0.00010396039603960397, + "loss": 0.6368, + "step": 1305 + }, + { + "epoch": 2.90302861906085, + "grad_norm": 0.013598893769085407, + "learning_rate": 0.00010148514851485148, + "loss": 0.5894, + "step": 1306 + }, + { + "epoch": 2.9052514587385385, + "grad_norm": 0.019652416929602623, + "learning_rate": 9.9009900990099e-05, + "loss": 0.6455, + "step": 1307 + }, + { + "epoch": 2.9074742984162265, + "grad_norm": 0.014602046459913254, + "learning_rate": 9.653465346534654e-05, + "loss": 0.5992, + "step": 1308 + }, + { + "epoch": 2.909697138093915, + "grad_norm": 0.012488738633692265, + "learning_rate": 9.405940594059405e-05, + "loss": 0.5696, + "step": 1309 + }, + { + "epoch": 2.9119199777716034, + "grad_norm": 0.018612246960401535, + "learning_rate": 9.15841584158416e-05, + "loss": 0.5856, + "step": 1310 + }, + { + "epoch": 2.9141428174492914, + "grad_norm": 0.018312592059373856, + "learning_rate": 8.91089108910891e-05, + "loss": 0.6731, + "step": 1311 + }, + { + "epoch": 2.91636565712698, + "grad_norm": 0.011301212944090366, + "learning_rate": 8.663366336633663e-05, + "loss": 0.6148, + "step": 1312 + }, + { + "epoch": 2.918588496804668, + "grad_norm": 0.014970047399401665, + "learning_rate": 8.415841584158415e-05, + "loss": 0.5364, + "step": 1313 + }, + { + "epoch": 2.9208113364823562, + "grad_norm": 0.017927002161741257, + "learning_rate": 8.168316831683169e-05, + "loss": 0.7138, + "step": 1314 + }, + { + "epoch": 2.9230341761600442, + "grad_norm": 0.012390673160552979, + "learning_rate": 7.920792079207921e-05, + "loss": 0.5939, + "step": 1315 + }, + { + "epoch": 2.9252570158377327, + "grad_norm": 0.021033355966210365, + "learning_rate": 7.673267326732673e-05, + "loss": 0.5774, + "step": 1316 + }, + { + "epoch": 2.927479855515421, + "grad_norm": 0.019287073984742165, + "learning_rate": 7.425742574257427e-05, + "loss": 0.6687, + "step": 1317 + }, + { + "epoch": 2.929702695193109, + "grad_norm": 0.01410654280334711, + "learning_rate": 7.178217821782179e-05, + "loss": 0.5655, + "step": 1318 + }, + { + "epoch": 2.9319255348707975, + "grad_norm": 0.015142921358346939, + "learning_rate": 6.93069306930693e-05, + "loss": 0.6458, + "step": 1319 + }, + { + "epoch": 2.9341483745484855, + "grad_norm": 0.014644642360508442, + "learning_rate": 6.683168316831682e-05, + "loss": 0.5915, + "step": 1320 + }, + { + "epoch": 2.936371214226174, + "grad_norm": 0.018795736134052277, + "learning_rate": 6.435643564356436e-05, + "loss": 0.5382, + "step": 1321 + }, + { + "epoch": 2.938594053903862, + "grad_norm": 0.01939059980213642, + "learning_rate": 6.188118811881188e-05, + "loss": 0.5383, + "step": 1322 + }, + { + "epoch": 2.9408168935815504, + "grad_norm": 0.016617722809314728, + "learning_rate": 5.940594059405941e-05, + "loss": 0.5883, + "step": 1323 + }, + { + "epoch": 2.943039733259239, + "grad_norm": 0.01931897923350334, + "learning_rate": 5.6930693069306934e-05, + "loss": 0.5775, + "step": 1324 + }, + { + "epoch": 2.945262572936927, + "grad_norm": 0.018571315333247185, + "learning_rate": 5.445544554455446e-05, + "loss": 0.6164, + "step": 1325 + }, + { + "epoch": 2.9474854126146153, + "grad_norm": 0.018728012219071388, + "learning_rate": 5.1980198019801986e-05, + "loss": 0.6216, + "step": 1326 + }, + { + "epoch": 2.9497082522923033, + "grad_norm": 0.01738075353205204, + "learning_rate": 4.95049504950495e-05, + "loss": 0.6433, + "step": 1327 + }, + { + "epoch": 2.9519310919699917, + "grad_norm": 0.012660011649131775, + "learning_rate": 4.7029702970297024e-05, + "loss": 0.6901, + "step": 1328 + }, + { + "epoch": 2.9541539316476797, + "grad_norm": 0.01377065945416689, + "learning_rate": 4.455445544554455e-05, + "loss": 0.5237, + "step": 1329 + }, + { + "epoch": 2.956376771325368, + "grad_norm": 0.030198214575648308, + "learning_rate": 4.2079207920792076e-05, + "loss": 0.6441, + "step": 1330 + }, + { + "epoch": 2.9585996110030566, + "grad_norm": 0.01597333326935768, + "learning_rate": 3.9603960396039605e-05, + "loss": 0.6057, + "step": 1331 + }, + { + "epoch": 2.9608224506807446, + "grad_norm": 0.021931879222393036, + "learning_rate": 3.7128712871287135e-05, + "loss": 0.5539, + "step": 1332 + }, + { + "epoch": 2.963045290358433, + "grad_norm": 0.01602141186594963, + "learning_rate": 3.465346534653465e-05, + "loss": 0.6342, + "step": 1333 + }, + { + "epoch": 2.965268130036121, + "grad_norm": 0.026012420654296875, + "learning_rate": 3.217821782178218e-05, + "loss": 0.7019, + "step": 1334 + }, + { + "epoch": 2.9674909697138094, + "grad_norm": 0.016496378928422928, + "learning_rate": 2.9702970297029706e-05, + "loss": 0.586, + "step": 1335 + }, + { + "epoch": 2.9697138093914974, + "grad_norm": 0.014965620823204517, + "learning_rate": 2.722772277227723e-05, + "loss": 0.5953, + "step": 1336 + }, + { + "epoch": 2.971936649069186, + "grad_norm": 0.016745861619710922, + "learning_rate": 2.475247524752475e-05, + "loss": 0.5842, + "step": 1337 + }, + { + "epoch": 2.9741594887468743, + "grad_norm": 0.021782133728265762, + "learning_rate": 2.2277227722772277e-05, + "loss": 0.668, + "step": 1338 + }, + { + "epoch": 2.9763823284245623, + "grad_norm": 0.017215097323060036, + "learning_rate": 1.9801980198019803e-05, + "loss": 0.6326, + "step": 1339 + }, + { + "epoch": 2.9786051681022507, + "grad_norm": 0.012050891295075417, + "learning_rate": 1.7326732673267325e-05, + "loss": 0.6311, + "step": 1340 + }, + { + "epoch": 2.9808280077799387, + "grad_norm": 0.01476576179265976, + "learning_rate": 1.4851485148514853e-05, + "loss": 0.6109, + "step": 1341 + }, + { + "epoch": 2.983050847457627, + "grad_norm": 0.015637947246432304, + "learning_rate": 1.2376237623762375e-05, + "loss": 0.6767, + "step": 1342 + }, + { + "epoch": 2.985273687135315, + "grad_norm": 0.01803119294345379, + "learning_rate": 9.900990099009901e-06, + "loss": 0.587, + "step": 1343 + }, + { + "epoch": 2.9874965268130036, + "grad_norm": 0.021125512197613716, + "learning_rate": 7.425742574257426e-06, + "loss": 0.8802, + "step": 1344 + }, + { + "epoch": 2.989719366490692, + "grad_norm": 0.024220464751124382, + "learning_rate": 4.950495049504951e-06, + "loss": 0.7215, + "step": 1345 + }, + { + "epoch": 2.99194220616838, + "grad_norm": 0.022379010915756226, + "learning_rate": 2.4752475247524753e-06, + "loss": 0.6175, + "step": 1346 + }, + { + "epoch": 2.9941650458460685, + "grad_norm": 0.0142740523442626, + "learning_rate": 0.0, + "loss": 0.5943, + "step": 1347 + }, + { + "epoch": 2.9941650458460685, + "step": 1347, + "total_flos": 5.0749830055591936e+17, + "train_loss": 0.6960906616253771, + "train_runtime": 3387.1352, + "train_samples_per_second": 6.374, + "train_steps_per_second": 0.398 + } + ], + "logging_steps": 1.0, + "max_steps": 1347, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 5.0749830055591936e+17, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}