diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,13167 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.0, + "eval_steps": 500, + "global_step": 1875, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0016, + "grad_norm": 2.6508815428813, + "learning_rate": 5.319148936170213e-08, + "loss": 1.3588, + "step": 1 + }, + { + "epoch": 0.0032, + "grad_norm": 2.5457892121592454, + "learning_rate": 1.0638297872340426e-07, + "loss": 1.323, + "step": 2 + }, + { + "epoch": 0.0048, + "grad_norm": 2.860158400454203, + "learning_rate": 1.5957446808510638e-07, + "loss": 1.4178, + "step": 3 + }, + { + "epoch": 0.0064, + "grad_norm": 2.5661170757514604, + "learning_rate": 2.1276595744680852e-07, + "loss": 1.3591, + "step": 4 + }, + { + "epoch": 0.008, + "grad_norm": 2.4777548048018847, + "learning_rate": 2.6595744680851066e-07, + "loss": 1.3441, + "step": 5 + }, + { + "epoch": 0.0096, + "grad_norm": 2.5083846992662666, + "learning_rate": 3.1914893617021275e-07, + "loss": 1.4051, + "step": 6 + }, + { + "epoch": 0.0112, + "grad_norm": 2.4445323039579585, + "learning_rate": 3.723404255319149e-07, + "loss": 1.3674, + "step": 7 + }, + { + "epoch": 0.0128, + "grad_norm": 2.481088215788748, + "learning_rate": 4.2553191489361704e-07, + "loss": 1.3869, + "step": 8 + }, + { + "epoch": 0.0144, + "grad_norm": 2.343270980925809, + "learning_rate": 4.787234042553192e-07, + "loss": 1.4282, + "step": 9 + }, + { + "epoch": 0.016, + "grad_norm": 2.4661217169738734, + "learning_rate": 5.319148936170213e-07, + "loss": 1.3501, + "step": 10 + }, + { + "epoch": 0.0176, + "grad_norm": 2.1984860413478104, + "learning_rate": 5.851063829787235e-07, + "loss": 1.3827, + "step": 11 + }, + { + "epoch": 0.0192, + "grad_norm": 2.4853285507338865, + "learning_rate": 6.382978723404255e-07, + "loss": 1.3667, + "step": 12 + }, + { + "epoch": 0.0208, + "grad_norm": 2.412927494212378, + "learning_rate": 6.914893617021278e-07, + "loss": 1.4221, + "step": 13 + }, + { + "epoch": 0.0224, + "grad_norm": 2.249266531013893, + "learning_rate": 7.446808510638298e-07, + "loss": 1.369, + "step": 14 + }, + { + "epoch": 0.024, + "grad_norm": 2.1707507731817586, + "learning_rate": 7.97872340425532e-07, + "loss": 1.346, + "step": 15 + }, + { + "epoch": 0.0256, + "grad_norm": 2.203769482457407, + "learning_rate": 8.510638297872341e-07, + "loss": 1.3548, + "step": 16 + }, + { + "epoch": 0.0272, + "grad_norm": 2.5343584450361925, + "learning_rate": 9.042553191489363e-07, + "loss": 1.4092, + "step": 17 + }, + { + "epoch": 0.0288, + "grad_norm": 2.0131524369253215, + "learning_rate": 9.574468085106384e-07, + "loss": 1.3371, + "step": 18 + }, + { + "epoch": 0.0304, + "grad_norm": 2.186260933309721, + "learning_rate": 1.0106382978723404e-06, + "loss": 1.3581, + "step": 19 + }, + { + "epoch": 0.032, + "grad_norm": 1.631781496512265, + "learning_rate": 1.0638297872340427e-06, + "loss": 1.3206, + "step": 20 + }, + { + "epoch": 0.0336, + "grad_norm": 1.8778425497539284, + "learning_rate": 1.1170212765957447e-06, + "loss": 1.3465, + "step": 21 + }, + { + "epoch": 0.0352, + "grad_norm": 1.8188788465372485, + "learning_rate": 1.170212765957447e-06, + "loss": 1.3834, + "step": 22 + }, + { + "epoch": 0.0368, + "grad_norm": 1.8846208068064163, + "learning_rate": 1.223404255319149e-06, + "loss": 1.4014, + "step": 23 + }, + { + "epoch": 0.0384, + "grad_norm": 1.680939894693523, + "learning_rate": 1.276595744680851e-06, + "loss": 1.3414, + "step": 24 + }, + { + "epoch": 0.04, + "grad_norm": 1.9958976210384602, + "learning_rate": 1.3297872340425533e-06, + "loss": 1.4561, + "step": 25 + }, + { + "epoch": 0.0416, + "grad_norm": 1.746093510878624, + "learning_rate": 1.3829787234042555e-06, + "loss": 1.3571, + "step": 26 + }, + { + "epoch": 0.0432, + "grad_norm": 1.7118623585900545, + "learning_rate": 1.4361702127659578e-06, + "loss": 1.35, + "step": 27 + }, + { + "epoch": 0.0448, + "grad_norm": 1.6447275181524579, + "learning_rate": 1.4893617021276596e-06, + "loss": 1.3052, + "step": 28 + }, + { + "epoch": 0.0464, + "grad_norm": 1.739335007475933, + "learning_rate": 1.5425531914893618e-06, + "loss": 1.3093, + "step": 29 + }, + { + "epoch": 0.048, + "grad_norm": 1.628647528466785, + "learning_rate": 1.595744680851064e-06, + "loss": 1.2384, + "step": 30 + }, + { + "epoch": 0.0496, + "grad_norm": 2.1276333711019557, + "learning_rate": 1.648936170212766e-06, + "loss": 1.2914, + "step": 31 + }, + { + "epoch": 0.0512, + "grad_norm": 1.7010139668434727, + "learning_rate": 1.7021276595744682e-06, + "loss": 1.2839, + "step": 32 + }, + { + "epoch": 0.0528, + "grad_norm": 1.944396399002483, + "learning_rate": 1.7553191489361704e-06, + "loss": 1.3749, + "step": 33 + }, + { + "epoch": 0.0544, + "grad_norm": 1.6831405536910045, + "learning_rate": 1.8085106382978727e-06, + "loss": 1.3172, + "step": 34 + }, + { + "epoch": 0.056, + "grad_norm": 1.6835872131936704, + "learning_rate": 1.8617021276595745e-06, + "loss": 1.3987, + "step": 35 + }, + { + "epoch": 0.0576, + "grad_norm": 1.433952564110348, + "learning_rate": 1.9148936170212767e-06, + "loss": 1.3312, + "step": 36 + }, + { + "epoch": 0.0592, + "grad_norm": 1.4803732161405265, + "learning_rate": 1.968085106382979e-06, + "loss": 1.3506, + "step": 37 + }, + { + "epoch": 0.0608, + "grad_norm": 1.4217221535717617, + "learning_rate": 2.021276595744681e-06, + "loss": 1.2903, + "step": 38 + }, + { + "epoch": 0.0624, + "grad_norm": 1.3982889633462, + "learning_rate": 2.074468085106383e-06, + "loss": 1.2889, + "step": 39 + }, + { + "epoch": 0.064, + "grad_norm": 1.5713570551010418, + "learning_rate": 2.1276595744680853e-06, + "loss": 1.3404, + "step": 40 + }, + { + "epoch": 0.0656, + "grad_norm": 1.5215024708131804, + "learning_rate": 2.1808510638297876e-06, + "loss": 1.3035, + "step": 41 + }, + { + "epoch": 0.0672, + "grad_norm": 1.6955442513159007, + "learning_rate": 2.2340425531914894e-06, + "loss": 1.3802, + "step": 42 + }, + { + "epoch": 0.0688, + "grad_norm": 1.4763797501186007, + "learning_rate": 2.2872340425531916e-06, + "loss": 1.3596, + "step": 43 + }, + { + "epoch": 0.0704, + "grad_norm": 1.5181782514073643, + "learning_rate": 2.340425531914894e-06, + "loss": 1.2217, + "step": 44 + }, + { + "epoch": 0.072, + "grad_norm": 1.4046404658793936, + "learning_rate": 2.393617021276596e-06, + "loss": 1.2767, + "step": 45 + }, + { + "epoch": 0.0736, + "grad_norm": 1.462947538022516, + "learning_rate": 2.446808510638298e-06, + "loss": 1.302, + "step": 46 + }, + { + "epoch": 0.0752, + "grad_norm": 1.2892961442963045, + "learning_rate": 2.5e-06, + "loss": 1.2487, + "step": 47 + }, + { + "epoch": 0.0768, + "grad_norm": 1.3226533611568942, + "learning_rate": 2.553191489361702e-06, + "loss": 1.1913, + "step": 48 + }, + { + "epoch": 0.0784, + "grad_norm": 1.3476093040944925, + "learning_rate": 2.6063829787234047e-06, + "loss": 1.205, + "step": 49 + }, + { + "epoch": 0.08, + "grad_norm": 1.3221965193129026, + "learning_rate": 2.6595744680851065e-06, + "loss": 1.3028, + "step": 50 + }, + { + "epoch": 0.0816, + "grad_norm": 1.3958129456251924, + "learning_rate": 2.7127659574468084e-06, + "loss": 1.2695, + "step": 51 + }, + { + "epoch": 0.0832, + "grad_norm": 1.4044669269799819, + "learning_rate": 2.765957446808511e-06, + "loss": 1.3055, + "step": 52 + }, + { + "epoch": 0.0848, + "grad_norm": 1.3368096346491132, + "learning_rate": 2.819148936170213e-06, + "loss": 1.2552, + "step": 53 + }, + { + "epoch": 0.0864, + "grad_norm": 1.4033198863641372, + "learning_rate": 2.8723404255319155e-06, + "loss": 1.3589, + "step": 54 + }, + { + "epoch": 0.088, + "grad_norm": 1.3297672542955576, + "learning_rate": 2.9255319148936174e-06, + "loss": 1.2533, + "step": 55 + }, + { + "epoch": 0.0896, + "grad_norm": 1.3600581237455072, + "learning_rate": 2.978723404255319e-06, + "loss": 1.2865, + "step": 56 + }, + { + "epoch": 0.0912, + "grad_norm": 1.317119263523914, + "learning_rate": 3.031914893617022e-06, + "loss": 1.2839, + "step": 57 + }, + { + "epoch": 0.0928, + "grad_norm": 1.349993584985242, + "learning_rate": 3.0851063829787237e-06, + "loss": 1.229, + "step": 58 + }, + { + "epoch": 0.0944, + "grad_norm": 1.3011137840566604, + "learning_rate": 3.1382978723404255e-06, + "loss": 1.2645, + "step": 59 + }, + { + "epoch": 0.096, + "grad_norm": 1.3201241706938067, + "learning_rate": 3.191489361702128e-06, + "loss": 1.3262, + "step": 60 + }, + { + "epoch": 0.0976, + "grad_norm": 1.2697377429716319, + "learning_rate": 3.24468085106383e-06, + "loss": 1.2183, + "step": 61 + }, + { + "epoch": 0.0992, + "grad_norm": 1.2696547481303002, + "learning_rate": 3.297872340425532e-06, + "loss": 1.2516, + "step": 62 + }, + { + "epoch": 0.1008, + "grad_norm": 1.4288617262875076, + "learning_rate": 3.3510638297872345e-06, + "loss": 1.3512, + "step": 63 + }, + { + "epoch": 0.1024, + "grad_norm": 1.3772737398632353, + "learning_rate": 3.4042553191489363e-06, + "loss": 1.2807, + "step": 64 + }, + { + "epoch": 0.104, + "grad_norm": 1.2658916424347746, + "learning_rate": 3.457446808510639e-06, + "loss": 1.2433, + "step": 65 + }, + { + "epoch": 0.1056, + "grad_norm": 1.334567599068373, + "learning_rate": 3.510638297872341e-06, + "loss": 1.3031, + "step": 66 + }, + { + "epoch": 0.1072, + "grad_norm": 1.276484222880141, + "learning_rate": 3.5638297872340426e-06, + "loss": 1.2172, + "step": 67 + }, + { + "epoch": 0.1088, + "grad_norm": 1.3914548666219049, + "learning_rate": 3.6170212765957453e-06, + "loss": 1.2694, + "step": 68 + }, + { + "epoch": 0.1104, + "grad_norm": 1.2449140907541763, + "learning_rate": 3.670212765957447e-06, + "loss": 1.3043, + "step": 69 + }, + { + "epoch": 0.112, + "grad_norm": 1.418974878409878, + "learning_rate": 3.723404255319149e-06, + "loss": 1.2603, + "step": 70 + }, + { + "epoch": 0.1136, + "grad_norm": 1.3334985658777239, + "learning_rate": 3.7765957446808516e-06, + "loss": 1.2131, + "step": 71 + }, + { + "epoch": 0.1152, + "grad_norm": 1.2696952693157317, + "learning_rate": 3.8297872340425535e-06, + "loss": 1.205, + "step": 72 + }, + { + "epoch": 0.1168, + "grad_norm": 1.4830510678810025, + "learning_rate": 3.882978723404256e-06, + "loss": 1.2363, + "step": 73 + }, + { + "epoch": 0.1184, + "grad_norm": 1.2832900079781504, + "learning_rate": 3.936170212765958e-06, + "loss": 1.2799, + "step": 74 + }, + { + "epoch": 0.12, + "grad_norm": 1.3141641695371142, + "learning_rate": 3.98936170212766e-06, + "loss": 1.2316, + "step": 75 + }, + { + "epoch": 0.1216, + "grad_norm": 1.3384629144912241, + "learning_rate": 4.042553191489362e-06, + "loss": 1.2497, + "step": 76 + }, + { + "epoch": 0.1232, + "grad_norm": 1.2305016222469252, + "learning_rate": 4.095744680851064e-06, + "loss": 1.2229, + "step": 77 + }, + { + "epoch": 0.1248, + "grad_norm": 1.3122289104554492, + "learning_rate": 4.148936170212766e-06, + "loss": 1.28, + "step": 78 + }, + { + "epoch": 0.1264, + "grad_norm": 1.3216635013853866, + "learning_rate": 4.202127659574468e-06, + "loss": 1.2372, + "step": 79 + }, + { + "epoch": 0.128, + "grad_norm": 1.2173858137755214, + "learning_rate": 4.255319148936171e-06, + "loss": 1.2862, + "step": 80 + }, + { + "epoch": 0.1296, + "grad_norm": 1.2727116908067995, + "learning_rate": 4.308510638297873e-06, + "loss": 1.1822, + "step": 81 + }, + { + "epoch": 0.1312, + "grad_norm": 1.2826192505493774, + "learning_rate": 4.361702127659575e-06, + "loss": 1.2519, + "step": 82 + }, + { + "epoch": 0.1328, + "grad_norm": 1.3545545093390474, + "learning_rate": 4.414893617021277e-06, + "loss": 1.262, + "step": 83 + }, + { + "epoch": 0.1344, + "grad_norm": 1.3348494465098057, + "learning_rate": 4.468085106382979e-06, + "loss": 1.231, + "step": 84 + }, + { + "epoch": 0.136, + "grad_norm": 1.3370363861769372, + "learning_rate": 4.521276595744681e-06, + "loss": 1.2136, + "step": 85 + }, + { + "epoch": 0.1376, + "grad_norm": 1.2502879949642949, + "learning_rate": 4.574468085106383e-06, + "loss": 1.2387, + "step": 86 + }, + { + "epoch": 0.1392, + "grad_norm": 1.3634840542204891, + "learning_rate": 4.6276595744680855e-06, + "loss": 1.2795, + "step": 87 + }, + { + "epoch": 0.1408, + "grad_norm": 1.4081794721937446, + "learning_rate": 4.680851063829788e-06, + "loss": 1.2826, + "step": 88 + }, + { + "epoch": 0.1424, + "grad_norm": 1.2169282110477329, + "learning_rate": 4.73404255319149e-06, + "loss": 1.2286, + "step": 89 + }, + { + "epoch": 0.144, + "grad_norm": 1.2421902440104342, + "learning_rate": 4.787234042553192e-06, + "loss": 1.2091, + "step": 90 + }, + { + "epoch": 0.1456, + "grad_norm": 1.2215257582048158, + "learning_rate": 4.840425531914894e-06, + "loss": 1.1016, + "step": 91 + }, + { + "epoch": 0.1472, + "grad_norm": 1.2387285211853014, + "learning_rate": 4.893617021276596e-06, + "loss": 1.1803, + "step": 92 + }, + { + "epoch": 0.1488, + "grad_norm": 1.263019124972462, + "learning_rate": 4.946808510638298e-06, + "loss": 1.2403, + "step": 93 + }, + { + "epoch": 0.1504, + "grad_norm": 1.2194501954476942, + "learning_rate": 5e-06, + "loss": 1.2087, + "step": 94 + }, + { + "epoch": 0.152, + "grad_norm": 1.2800554218702347, + "learning_rate": 5.053191489361703e-06, + "loss": 1.1979, + "step": 95 + }, + { + "epoch": 0.1536, + "grad_norm": 1.2503994395846336, + "learning_rate": 5.106382978723404e-06, + "loss": 1.1459, + "step": 96 + }, + { + "epoch": 0.1552, + "grad_norm": 1.2648019806917759, + "learning_rate": 5.159574468085107e-06, + "loss": 1.1908, + "step": 97 + }, + { + "epoch": 0.1568, + "grad_norm": 1.2361469771451743, + "learning_rate": 5.212765957446809e-06, + "loss": 1.175, + "step": 98 + }, + { + "epoch": 0.1584, + "grad_norm": 1.2027508478924163, + "learning_rate": 5.265957446808511e-06, + "loss": 1.1522, + "step": 99 + }, + { + "epoch": 0.16, + "grad_norm": 1.3458900442550417, + "learning_rate": 5.319148936170213e-06, + "loss": 1.2066, + "step": 100 + }, + { + "epoch": 0.1616, + "grad_norm": 1.1947554702060192, + "learning_rate": 5.372340425531915e-06, + "loss": 1.1649, + "step": 101 + }, + { + "epoch": 0.1632, + "grad_norm": 1.2814903215405857, + "learning_rate": 5.425531914893617e-06, + "loss": 1.221, + "step": 102 + }, + { + "epoch": 0.1648, + "grad_norm": 1.3228525735133247, + "learning_rate": 5.47872340425532e-06, + "loss": 1.2608, + "step": 103 + }, + { + "epoch": 0.1664, + "grad_norm": 1.3695791790091256, + "learning_rate": 5.531914893617022e-06, + "loss": 1.3016, + "step": 104 + }, + { + "epoch": 0.168, + "grad_norm": 1.4482515085810126, + "learning_rate": 5.5851063829787235e-06, + "loss": 1.206, + "step": 105 + }, + { + "epoch": 0.1696, + "grad_norm": 1.3572804914450192, + "learning_rate": 5.638297872340426e-06, + "loss": 1.2277, + "step": 106 + }, + { + "epoch": 0.1712, + "grad_norm": 1.345771109352615, + "learning_rate": 5.691489361702128e-06, + "loss": 1.2686, + "step": 107 + }, + { + "epoch": 0.1728, + "grad_norm": 1.353214129611976, + "learning_rate": 5.744680851063831e-06, + "loss": 1.2911, + "step": 108 + }, + { + "epoch": 0.1744, + "grad_norm": 1.3544364231107242, + "learning_rate": 5.7978723404255325e-06, + "loss": 1.2236, + "step": 109 + }, + { + "epoch": 0.176, + "grad_norm": 1.3369920111726017, + "learning_rate": 5.851063829787235e-06, + "loss": 1.2427, + "step": 110 + }, + { + "epoch": 0.1776, + "grad_norm": 1.361279947484296, + "learning_rate": 5.904255319148937e-06, + "loss": 1.2331, + "step": 111 + }, + { + "epoch": 0.1792, + "grad_norm": 1.3405858177565884, + "learning_rate": 5.957446808510638e-06, + "loss": 1.2419, + "step": 112 + }, + { + "epoch": 0.1808, + "grad_norm": 1.3556521536258566, + "learning_rate": 6.010638297872341e-06, + "loss": 1.1469, + "step": 113 + }, + { + "epoch": 0.1824, + "grad_norm": 1.27647979197382, + "learning_rate": 6.063829787234044e-06, + "loss": 1.2178, + "step": 114 + }, + { + "epoch": 0.184, + "grad_norm": 1.3280288219599166, + "learning_rate": 6.117021276595745e-06, + "loss": 1.2371, + "step": 115 + }, + { + "epoch": 0.1856, + "grad_norm": 1.4032047715117417, + "learning_rate": 6.170212765957447e-06, + "loss": 1.2646, + "step": 116 + }, + { + "epoch": 0.1872, + "grad_norm": 1.3875283248481962, + "learning_rate": 6.22340425531915e-06, + "loss": 1.2687, + "step": 117 + }, + { + "epoch": 0.1888, + "grad_norm": 1.3339642396094988, + "learning_rate": 6.276595744680851e-06, + "loss": 1.2241, + "step": 118 + }, + { + "epoch": 0.1904, + "grad_norm": 1.2965813728237912, + "learning_rate": 6.329787234042554e-06, + "loss": 1.2422, + "step": 119 + }, + { + "epoch": 0.192, + "grad_norm": 1.232840996946032, + "learning_rate": 6.382978723404256e-06, + "loss": 1.177, + "step": 120 + }, + { + "epoch": 0.1936, + "grad_norm": 1.2002854711824298, + "learning_rate": 6.436170212765958e-06, + "loss": 1.1651, + "step": 121 + }, + { + "epoch": 0.1952, + "grad_norm": 1.4467750151272263, + "learning_rate": 6.48936170212766e-06, + "loss": 1.226, + "step": 122 + }, + { + "epoch": 0.1968, + "grad_norm": 1.483516839204314, + "learning_rate": 6.542553191489362e-06, + "loss": 1.1926, + "step": 123 + }, + { + "epoch": 0.1984, + "grad_norm": 1.3636980602642683, + "learning_rate": 6.595744680851064e-06, + "loss": 1.2363, + "step": 124 + }, + { + "epoch": 0.2, + "grad_norm": 1.3360595736449652, + "learning_rate": 6.648936170212767e-06, + "loss": 1.2099, + "step": 125 + }, + { + "epoch": 0.2016, + "grad_norm": 1.3202998883065726, + "learning_rate": 6.702127659574469e-06, + "loss": 1.2568, + "step": 126 + }, + { + "epoch": 0.2032, + "grad_norm": 1.4733714471362398, + "learning_rate": 6.75531914893617e-06, + "loss": 1.2154, + "step": 127 + }, + { + "epoch": 0.2048, + "grad_norm": 1.3183132745101613, + "learning_rate": 6.808510638297873e-06, + "loss": 1.1829, + "step": 128 + }, + { + "epoch": 0.2064, + "grad_norm": 1.3396570123523743, + "learning_rate": 6.861702127659575e-06, + "loss": 1.2214, + "step": 129 + }, + { + "epoch": 0.208, + "grad_norm": 1.2432539218587322, + "learning_rate": 6.914893617021278e-06, + "loss": 1.128, + "step": 130 + }, + { + "epoch": 0.2096, + "grad_norm": 1.335407974223568, + "learning_rate": 6.968085106382979e-06, + "loss": 1.2019, + "step": 131 + }, + { + "epoch": 0.2112, + "grad_norm": 1.468689388744961, + "learning_rate": 7.021276595744682e-06, + "loss": 1.2138, + "step": 132 + }, + { + "epoch": 0.2128, + "grad_norm": 1.4180366341573534, + "learning_rate": 7.074468085106384e-06, + "loss": 1.1725, + "step": 133 + }, + { + "epoch": 0.2144, + "grad_norm": 1.4536203605806246, + "learning_rate": 7.127659574468085e-06, + "loss": 1.2175, + "step": 134 + }, + { + "epoch": 0.216, + "grad_norm": 1.2644993814847247, + "learning_rate": 7.1808510638297875e-06, + "loss": 1.206, + "step": 135 + }, + { + "epoch": 0.2176, + "grad_norm": 1.4912773773358907, + "learning_rate": 7.234042553191491e-06, + "loss": 1.2077, + "step": 136 + }, + { + "epoch": 0.2192, + "grad_norm": 1.4487467583672629, + "learning_rate": 7.287234042553192e-06, + "loss": 1.2461, + "step": 137 + }, + { + "epoch": 0.2208, + "grad_norm": 1.3514400181572792, + "learning_rate": 7.340425531914894e-06, + "loss": 1.1677, + "step": 138 + }, + { + "epoch": 0.2224, + "grad_norm": 1.4160768735860554, + "learning_rate": 7.3936170212765965e-06, + "loss": 1.2752, + "step": 139 + }, + { + "epoch": 0.224, + "grad_norm": 1.6465571454842867, + "learning_rate": 7.446808510638298e-06, + "loss": 1.2588, + "step": 140 + }, + { + "epoch": 0.2256, + "grad_norm": 1.4947442704576295, + "learning_rate": 7.500000000000001e-06, + "loss": 1.1323, + "step": 141 + }, + { + "epoch": 0.2272, + "grad_norm": 1.4470318856040942, + "learning_rate": 7.553191489361703e-06, + "loss": 1.2423, + "step": 142 + }, + { + "epoch": 0.2288, + "grad_norm": 1.3764661553387543, + "learning_rate": 7.606382978723405e-06, + "loss": 1.191, + "step": 143 + }, + { + "epoch": 0.2304, + "grad_norm": 1.2865130632592365, + "learning_rate": 7.659574468085107e-06, + "loss": 1.1355, + "step": 144 + }, + { + "epoch": 0.232, + "grad_norm": 1.3684410438454009, + "learning_rate": 7.71276595744681e-06, + "loss": 1.1508, + "step": 145 + }, + { + "epoch": 0.2336, + "grad_norm": 1.4825365407894726, + "learning_rate": 7.765957446808511e-06, + "loss": 1.1853, + "step": 146 + }, + { + "epoch": 0.2352, + "grad_norm": 1.427522472786184, + "learning_rate": 7.819148936170213e-06, + "loss": 1.1631, + "step": 147 + }, + { + "epoch": 0.2368, + "grad_norm": 1.3453982047037698, + "learning_rate": 7.872340425531916e-06, + "loss": 1.1864, + "step": 148 + }, + { + "epoch": 0.2384, + "grad_norm": 1.3383201271448923, + "learning_rate": 7.925531914893617e-06, + "loss": 1.2128, + "step": 149 + }, + { + "epoch": 0.24, + "grad_norm": 1.2825553959113618, + "learning_rate": 7.97872340425532e-06, + "loss": 1.1445, + "step": 150 + }, + { + "epoch": 0.2416, + "grad_norm": 1.4344558305478945, + "learning_rate": 8.031914893617022e-06, + "loss": 1.2357, + "step": 151 + }, + { + "epoch": 0.2432, + "grad_norm": 1.4613640887135835, + "learning_rate": 8.085106382978723e-06, + "loss": 1.2638, + "step": 152 + }, + { + "epoch": 0.2448, + "grad_norm": 1.296519283988, + "learning_rate": 8.138297872340426e-06, + "loss": 1.1012, + "step": 153 + }, + { + "epoch": 0.2464, + "grad_norm": 1.4288650891730967, + "learning_rate": 8.191489361702128e-06, + "loss": 1.2483, + "step": 154 + }, + { + "epoch": 0.248, + "grad_norm": 1.4505510144448936, + "learning_rate": 8.24468085106383e-06, + "loss": 1.2279, + "step": 155 + }, + { + "epoch": 0.2496, + "grad_norm": 1.2582211464941604, + "learning_rate": 8.297872340425532e-06, + "loss": 1.1631, + "step": 156 + }, + { + "epoch": 0.2512, + "grad_norm": 1.343219139004632, + "learning_rate": 8.351063829787235e-06, + "loss": 1.1469, + "step": 157 + }, + { + "epoch": 0.2528, + "grad_norm": 1.2149488581020176, + "learning_rate": 8.404255319148937e-06, + "loss": 1.0701, + "step": 158 + }, + { + "epoch": 0.2544, + "grad_norm": 1.4844514577515964, + "learning_rate": 8.457446808510638e-06, + "loss": 1.275, + "step": 159 + }, + { + "epoch": 0.256, + "grad_norm": 1.3963129808729753, + "learning_rate": 8.510638297872341e-06, + "loss": 1.1679, + "step": 160 + }, + { + "epoch": 0.2576, + "grad_norm": 1.4011070218880282, + "learning_rate": 8.563829787234044e-06, + "loss": 1.187, + "step": 161 + }, + { + "epoch": 0.2592, + "grad_norm": 1.4460463927692926, + "learning_rate": 8.617021276595746e-06, + "loss": 1.188, + "step": 162 + }, + { + "epoch": 0.2608, + "grad_norm": 1.2744963443999946, + "learning_rate": 8.670212765957447e-06, + "loss": 1.1603, + "step": 163 + }, + { + "epoch": 0.2624, + "grad_norm": 1.3360709566920668, + "learning_rate": 8.72340425531915e-06, + "loss": 1.1424, + "step": 164 + }, + { + "epoch": 0.264, + "grad_norm": 1.3581704195355544, + "learning_rate": 8.776595744680852e-06, + "loss": 1.2209, + "step": 165 + }, + { + "epoch": 0.2656, + "grad_norm": 1.2772659444525245, + "learning_rate": 8.829787234042555e-06, + "loss": 1.1161, + "step": 166 + }, + { + "epoch": 0.2672, + "grad_norm": 1.3146686211403726, + "learning_rate": 8.882978723404256e-06, + "loss": 1.1196, + "step": 167 + }, + { + "epoch": 0.2688, + "grad_norm": 1.3394702888408314, + "learning_rate": 8.936170212765958e-06, + "loss": 1.218, + "step": 168 + }, + { + "epoch": 0.2704, + "grad_norm": 1.497676994277907, + "learning_rate": 8.98936170212766e-06, + "loss": 1.1524, + "step": 169 + }, + { + "epoch": 0.272, + "grad_norm": 1.571636390734505, + "learning_rate": 9.042553191489362e-06, + "loss": 1.261, + "step": 170 + }, + { + "epoch": 0.2736, + "grad_norm": 1.3814744647519746, + "learning_rate": 9.095744680851063e-06, + "loss": 1.1747, + "step": 171 + }, + { + "epoch": 0.2752, + "grad_norm": 1.37492407457705, + "learning_rate": 9.148936170212767e-06, + "loss": 1.1898, + "step": 172 + }, + { + "epoch": 0.2768, + "grad_norm": 1.4416592772050616, + "learning_rate": 9.20212765957447e-06, + "loss": 1.1893, + "step": 173 + }, + { + "epoch": 0.2784, + "grad_norm": 1.4801710265103374, + "learning_rate": 9.255319148936171e-06, + "loss": 1.1473, + "step": 174 + }, + { + "epoch": 0.28, + "grad_norm": 1.4337770310627218, + "learning_rate": 9.308510638297872e-06, + "loss": 1.1725, + "step": 175 + }, + { + "epoch": 0.2816, + "grad_norm": 1.2891377685256382, + "learning_rate": 9.361702127659576e-06, + "loss": 1.182, + "step": 176 + }, + { + "epoch": 0.2832, + "grad_norm": 1.335645497990819, + "learning_rate": 9.414893617021279e-06, + "loss": 1.2227, + "step": 177 + }, + { + "epoch": 0.2848, + "grad_norm": 1.3081578576211257, + "learning_rate": 9.46808510638298e-06, + "loss": 1.1819, + "step": 178 + }, + { + "epoch": 0.2864, + "grad_norm": 1.301421253758618, + "learning_rate": 9.521276595744681e-06, + "loss": 1.1593, + "step": 179 + }, + { + "epoch": 0.288, + "grad_norm": 1.3337804593717932, + "learning_rate": 9.574468085106385e-06, + "loss": 1.0941, + "step": 180 + }, + { + "epoch": 0.2896, + "grad_norm": 1.3772510705384873, + "learning_rate": 9.627659574468086e-06, + "loss": 1.1978, + "step": 181 + }, + { + "epoch": 0.2912, + "grad_norm": 1.2867843810362423, + "learning_rate": 9.680851063829787e-06, + "loss": 1.074, + "step": 182 + }, + { + "epoch": 0.2928, + "grad_norm": 1.3566501945984397, + "learning_rate": 9.73404255319149e-06, + "loss": 1.1557, + "step": 183 + }, + { + "epoch": 0.2944, + "grad_norm": 1.3032741383015087, + "learning_rate": 9.787234042553192e-06, + "loss": 1.1435, + "step": 184 + }, + { + "epoch": 0.296, + "grad_norm": 1.521106793220149, + "learning_rate": 9.840425531914895e-06, + "loss": 1.1413, + "step": 185 + }, + { + "epoch": 0.2976, + "grad_norm": 1.3989911756975302, + "learning_rate": 9.893617021276596e-06, + "loss": 1.1117, + "step": 186 + }, + { + "epoch": 0.2992, + "grad_norm": 1.2035415678694272, + "learning_rate": 9.946808510638298e-06, + "loss": 1.1227, + "step": 187 + }, + { + "epoch": 0.3008, + "grad_norm": 1.5488537450625632, + "learning_rate": 1e-05, + "loss": 1.1624, + "step": 188 + }, + { + "epoch": 0.3024, + "grad_norm": 1.3700674838059985, + "learning_rate": 9.99999133019233e-06, + "loss": 1.1637, + "step": 189 + }, + { + "epoch": 0.304, + "grad_norm": 1.5349319366797567, + "learning_rate": 9.999965320799377e-06, + "loss": 1.1556, + "step": 190 + }, + { + "epoch": 0.3056, + "grad_norm": 1.6125124209777197, + "learning_rate": 9.999921971911345e-06, + "loss": 1.2168, + "step": 191 + }, + { + "epoch": 0.3072, + "grad_norm": 1.6566049406398442, + "learning_rate": 9.999861283678563e-06, + "loss": 1.2343, + "step": 192 + }, + { + "epoch": 0.3088, + "grad_norm": 1.6408125099408117, + "learning_rate": 9.999783256311494e-06, + "loss": 1.1576, + "step": 193 + }, + { + "epoch": 0.3104, + "grad_norm": 1.740155138832122, + "learning_rate": 9.99968789008073e-06, + "loss": 1.1909, + "step": 194 + }, + { + "epoch": 0.312, + "grad_norm": 1.3601981225220867, + "learning_rate": 9.999575185316994e-06, + "loss": 1.1268, + "step": 195 + }, + { + "epoch": 0.3136, + "grad_norm": 1.431564889308234, + "learning_rate": 9.999445142411139e-06, + "loss": 1.1545, + "step": 196 + }, + { + "epoch": 0.3152, + "grad_norm": 1.5350959943206477, + "learning_rate": 9.99929776181414e-06, + "loss": 1.1764, + "step": 197 + }, + { + "epoch": 0.3168, + "grad_norm": 1.4432635428618188, + "learning_rate": 9.999133044037107e-06, + "loss": 1.1307, + "step": 198 + }, + { + "epoch": 0.3184, + "grad_norm": 1.474178678764435, + "learning_rate": 9.998950989651261e-06, + "loss": 1.2215, + "step": 199 + }, + { + "epoch": 0.32, + "grad_norm": 1.5422938099960322, + "learning_rate": 9.99875159928796e-06, + "loss": 1.2116, + "step": 200 + }, + { + "epoch": 0.3216, + "grad_norm": 1.6010305201244435, + "learning_rate": 9.99853487363867e-06, + "loss": 1.1784, + "step": 201 + }, + { + "epoch": 0.3232, + "grad_norm": 1.4799525806803449, + "learning_rate": 9.998300813454981e-06, + "loss": 1.176, + "step": 202 + }, + { + "epoch": 0.3248, + "grad_norm": 1.24248095082439, + "learning_rate": 9.998049419548597e-06, + "loss": 1.0655, + "step": 203 + }, + { + "epoch": 0.3264, + "grad_norm": 1.3237786767118838, + "learning_rate": 9.997780692791329e-06, + "loss": 1.1385, + "step": 204 + }, + { + "epoch": 0.328, + "grad_norm": 1.376207748009853, + "learning_rate": 9.997494634115101e-06, + "loss": 1.1771, + "step": 205 + }, + { + "epoch": 0.3296, + "grad_norm": 1.51037915203655, + "learning_rate": 9.997191244511947e-06, + "loss": 1.1682, + "step": 206 + }, + { + "epoch": 0.3312, + "grad_norm": 1.466680370898261, + "learning_rate": 9.996870525033994e-06, + "loss": 1.2051, + "step": 207 + }, + { + "epoch": 0.3328, + "grad_norm": 1.3634930294008605, + "learning_rate": 9.996532476793475e-06, + "loss": 1.1202, + "step": 208 + }, + { + "epoch": 0.3344, + "grad_norm": 1.2465835964756378, + "learning_rate": 9.996177100962714e-06, + "loss": 1.1694, + "step": 209 + }, + { + "epoch": 0.336, + "grad_norm": 1.3874386369129013, + "learning_rate": 9.995804398774129e-06, + "loss": 1.0901, + "step": 210 + }, + { + "epoch": 0.3376, + "grad_norm": 1.345360982064232, + "learning_rate": 9.99541437152022e-06, + "loss": 1.1712, + "step": 211 + }, + { + "epoch": 0.3392, + "grad_norm": 1.419035335386871, + "learning_rate": 9.995007020553572e-06, + "loss": 1.1157, + "step": 212 + }, + { + "epoch": 0.3408, + "grad_norm": 1.3209322815554059, + "learning_rate": 9.994582347286849e-06, + "loss": 1.0652, + "step": 213 + }, + { + "epoch": 0.3424, + "grad_norm": 1.3236849677598421, + "learning_rate": 9.994140353192782e-06, + "loss": 1.1161, + "step": 214 + }, + { + "epoch": 0.344, + "grad_norm": 1.5461439893998776, + "learning_rate": 9.993681039804176e-06, + "loss": 1.2206, + "step": 215 + }, + { + "epoch": 0.3456, + "grad_norm": 1.2659730424463869, + "learning_rate": 9.99320440871389e-06, + "loss": 1.124, + "step": 216 + }, + { + "epoch": 0.3472, + "grad_norm": 1.2952391235729264, + "learning_rate": 9.99271046157485e-06, + "loss": 1.1312, + "step": 217 + }, + { + "epoch": 0.3488, + "grad_norm": 1.3921954065681275, + "learning_rate": 9.99219920010002e-06, + "loss": 1.1248, + "step": 218 + }, + { + "epoch": 0.3504, + "grad_norm": 1.4079765768683832, + "learning_rate": 9.991670626062422e-06, + "loss": 1.0761, + "step": 219 + }, + { + "epoch": 0.352, + "grad_norm": 1.4672083065816608, + "learning_rate": 9.991124741295106e-06, + "loss": 1.1854, + "step": 220 + }, + { + "epoch": 0.3536, + "grad_norm": 1.5647122615781168, + "learning_rate": 9.990561547691159e-06, + "loss": 1.195, + "step": 221 + }, + { + "epoch": 0.3552, + "grad_norm": 1.4841111563489182, + "learning_rate": 9.989981047203693e-06, + "loss": 1.0481, + "step": 222 + }, + { + "epoch": 0.3568, + "grad_norm": 1.3561828466541594, + "learning_rate": 9.98938324184584e-06, + "loss": 1.0719, + "step": 223 + }, + { + "epoch": 0.3584, + "grad_norm": 1.4316308480057511, + "learning_rate": 9.988768133690741e-06, + "loss": 1.2046, + "step": 224 + }, + { + "epoch": 0.36, + "grad_norm": 1.229225422203295, + "learning_rate": 9.988135724871546e-06, + "loss": 1.0545, + "step": 225 + }, + { + "epoch": 0.3616, + "grad_norm": 1.5102880958499596, + "learning_rate": 9.987486017581401e-06, + "loss": 1.1112, + "step": 226 + }, + { + "epoch": 0.3632, + "grad_norm": 1.3961232122907166, + "learning_rate": 9.986819014073436e-06, + "loss": 1.1292, + "step": 227 + }, + { + "epoch": 0.3648, + "grad_norm": 1.3891393586296323, + "learning_rate": 9.986134716660774e-06, + "loss": 1.0928, + "step": 228 + }, + { + "epoch": 0.3664, + "grad_norm": 1.4710516139625378, + "learning_rate": 9.9854331277165e-06, + "loss": 1.1266, + "step": 229 + }, + { + "epoch": 0.368, + "grad_norm": 1.3350749945807487, + "learning_rate": 9.984714249673676e-06, + "loss": 1.0565, + "step": 230 + }, + { + "epoch": 0.3696, + "grad_norm": 1.401738250670105, + "learning_rate": 9.98397808502531e-06, + "loss": 1.1217, + "step": 231 + }, + { + "epoch": 0.3712, + "grad_norm": 1.2886111933313193, + "learning_rate": 9.983224636324369e-06, + "loss": 1.0816, + "step": 232 + }, + { + "epoch": 0.3728, + "grad_norm": 1.436954677162413, + "learning_rate": 9.982453906183754e-06, + "loss": 1.2147, + "step": 233 + }, + { + "epoch": 0.3744, + "grad_norm": 1.5126390843338893, + "learning_rate": 9.981665897276298e-06, + "loss": 1.0673, + "step": 234 + }, + { + "epoch": 0.376, + "grad_norm": 1.5316367681014587, + "learning_rate": 9.980860612334753e-06, + "loss": 1.1157, + "step": 235 + }, + { + "epoch": 0.3776, + "grad_norm": 1.4224539271856318, + "learning_rate": 9.980038054151789e-06, + "loss": 1.1385, + "step": 236 + }, + { + "epoch": 0.3792, + "grad_norm": 1.530543816532965, + "learning_rate": 9.979198225579968e-06, + "loss": 1.1508, + "step": 237 + }, + { + "epoch": 0.3808, + "grad_norm": 1.5108829686404601, + "learning_rate": 9.97834112953176e-06, + "loss": 1.1154, + "step": 238 + }, + { + "epoch": 0.3824, + "grad_norm": 1.4564345557774694, + "learning_rate": 9.9774667689795e-06, + "loss": 1.1161, + "step": 239 + }, + { + "epoch": 0.384, + "grad_norm": 1.3290973902900243, + "learning_rate": 9.976575146955409e-06, + "loss": 1.0322, + "step": 240 + }, + { + "epoch": 0.3856, + "grad_norm": 1.2659088125835956, + "learning_rate": 9.97566626655156e-06, + "loss": 1.0965, + "step": 241 + }, + { + "epoch": 0.3872, + "grad_norm": 1.4192231711419405, + "learning_rate": 9.974740130919883e-06, + "loss": 1.0634, + "step": 242 + }, + { + "epoch": 0.3888, + "grad_norm": 1.508350949154953, + "learning_rate": 9.973796743272141e-06, + "loss": 1.0853, + "step": 243 + }, + { + "epoch": 0.3904, + "grad_norm": 1.4712841495273241, + "learning_rate": 9.972836106879936e-06, + "loss": 1.0686, + "step": 244 + }, + { + "epoch": 0.392, + "grad_norm": 1.328872572714548, + "learning_rate": 9.971858225074672e-06, + "loss": 1.0567, + "step": 245 + }, + { + "epoch": 0.3936, + "grad_norm": 1.397809579235734, + "learning_rate": 9.970863101247578e-06, + "loss": 1.1113, + "step": 246 + }, + { + "epoch": 0.3952, + "grad_norm": 1.490591810704279, + "learning_rate": 9.96985073884966e-06, + "loss": 1.1524, + "step": 247 + }, + { + "epoch": 0.3968, + "grad_norm": 1.624262558518088, + "learning_rate": 9.968821141391716e-06, + "loss": 1.1729, + "step": 248 + }, + { + "epoch": 0.3984, + "grad_norm": 1.427929092457274, + "learning_rate": 9.96777431244431e-06, + "loss": 1.1092, + "step": 249 + }, + { + "epoch": 0.4, + "grad_norm": 1.4009366097525648, + "learning_rate": 9.966710255637764e-06, + "loss": 1.1142, + "step": 250 + }, + { + "epoch": 0.4016, + "grad_norm": 1.3619657069373443, + "learning_rate": 9.965628974662145e-06, + "loss": 1.1196, + "step": 251 + }, + { + "epoch": 0.4032, + "grad_norm": 1.286213190237012, + "learning_rate": 9.964530473267253e-06, + "loss": 1.1211, + "step": 252 + }, + { + "epoch": 0.4048, + "grad_norm": 1.348982327724463, + "learning_rate": 9.963414755262606e-06, + "loss": 1.0638, + "step": 253 + }, + { + "epoch": 0.4064, + "grad_norm": 1.3198502705604718, + "learning_rate": 9.962281824517427e-06, + "loss": 1.1044, + "step": 254 + }, + { + "epoch": 0.408, + "grad_norm": 1.295208603915589, + "learning_rate": 9.961131684960635e-06, + "loss": 1.0912, + "step": 255 + }, + { + "epoch": 0.4096, + "grad_norm": 1.316775511589202, + "learning_rate": 9.959964340580823e-06, + "loss": 1.1581, + "step": 256 + }, + { + "epoch": 0.4112, + "grad_norm": 1.459171866725438, + "learning_rate": 9.958779795426253e-06, + "loss": 1.2307, + "step": 257 + }, + { + "epoch": 0.4128, + "grad_norm": 2.071160152062741, + "learning_rate": 9.957578053604837e-06, + "loss": 1.1221, + "step": 258 + }, + { + "epoch": 0.4144, + "grad_norm": 1.3753345270435529, + "learning_rate": 9.956359119284123e-06, + "loss": 1.0596, + "step": 259 + }, + { + "epoch": 0.416, + "grad_norm": 1.4079035619067826, + "learning_rate": 9.955122996691278e-06, + "loss": 1.1707, + "step": 260 + }, + { + "epoch": 0.4176, + "grad_norm": 1.2988760331074598, + "learning_rate": 9.953869690113085e-06, + "loss": 1.054, + "step": 261 + }, + { + "epoch": 0.4192, + "grad_norm": 1.2299978341794726, + "learning_rate": 9.952599203895912e-06, + "loss": 0.964, + "step": 262 + }, + { + "epoch": 0.4208, + "grad_norm": 1.2675070599935245, + "learning_rate": 9.95131154244571e-06, + "loss": 1.1555, + "step": 263 + }, + { + "epoch": 0.4224, + "grad_norm": 1.3899921710506915, + "learning_rate": 9.950006710227986e-06, + "loss": 1.1785, + "step": 264 + }, + { + "epoch": 0.424, + "grad_norm": 1.6143530294905075, + "learning_rate": 9.9486847117678e-06, + "loss": 1.1335, + "step": 265 + }, + { + "epoch": 0.4256, + "grad_norm": 1.407531402482802, + "learning_rate": 9.947345551649741e-06, + "loss": 1.1162, + "step": 266 + }, + { + "epoch": 0.4272, + "grad_norm": 1.3379337446628576, + "learning_rate": 9.945989234517913e-06, + "loss": 1.1108, + "step": 267 + }, + { + "epoch": 0.4288, + "grad_norm": 1.4199178880182914, + "learning_rate": 9.94461576507592e-06, + "loss": 1.0977, + "step": 268 + }, + { + "epoch": 0.4304, + "grad_norm": 1.2703762317921958, + "learning_rate": 9.943225148086846e-06, + "loss": 1.0604, + "step": 269 + }, + { + "epoch": 0.432, + "grad_norm": 1.4444914487644183, + "learning_rate": 9.941817388373248e-06, + "loss": 1.0586, + "step": 270 + }, + { + "epoch": 0.4336, + "grad_norm": 1.423934584606783, + "learning_rate": 9.940392490817124e-06, + "loss": 1.1046, + "step": 271 + }, + { + "epoch": 0.4352, + "grad_norm": 1.371960653254297, + "learning_rate": 9.938950460359912e-06, + "loss": 1.1095, + "step": 272 + }, + { + "epoch": 0.4368, + "grad_norm": 1.3457706855286338, + "learning_rate": 9.937491302002462e-06, + "loss": 1.092, + "step": 273 + }, + { + "epoch": 0.4384, + "grad_norm": 1.2968675257429614, + "learning_rate": 9.936015020805022e-06, + "loss": 1.058, + "step": 274 + }, + { + "epoch": 0.44, + "grad_norm": 1.356124443843827, + "learning_rate": 9.934521621887223e-06, + "loss": 1.1312, + "step": 275 + }, + { + "epoch": 0.4416, + "grad_norm": 1.3896576115432853, + "learning_rate": 9.933011110428058e-06, + "loss": 1.0579, + "step": 276 + }, + { + "epoch": 0.4432, + "grad_norm": 1.298966949578673, + "learning_rate": 9.93148349166586e-06, + "loss": 1.0388, + "step": 277 + }, + { + "epoch": 0.4448, + "grad_norm": 1.3704742845904228, + "learning_rate": 9.929938770898299e-06, + "loss": 1.093, + "step": 278 + }, + { + "epoch": 0.4464, + "grad_norm": 1.5321224395563418, + "learning_rate": 9.928376953482343e-06, + "loss": 1.0876, + "step": 279 + }, + { + "epoch": 0.448, + "grad_norm": 1.4173356406870716, + "learning_rate": 9.926798044834261e-06, + "loss": 1.0978, + "step": 280 + }, + { + "epoch": 0.4496, + "grad_norm": 1.5355690456515665, + "learning_rate": 9.92520205042958e-06, + "loss": 1.2086, + "step": 281 + }, + { + "epoch": 0.4512, + "grad_norm": 1.5686218515796675, + "learning_rate": 9.92358897580309e-06, + "loss": 1.1348, + "step": 282 + }, + { + "epoch": 0.4528, + "grad_norm": 1.3614651917760048, + "learning_rate": 9.921958826548808e-06, + "loss": 1.0557, + "step": 283 + }, + { + "epoch": 0.4544, + "grad_norm": 1.4808899417219499, + "learning_rate": 9.920311608319968e-06, + "loss": 1.1303, + "step": 284 + }, + { + "epoch": 0.456, + "grad_norm": 1.4088018049846256, + "learning_rate": 9.918647326828993e-06, + "loss": 1.1438, + "step": 285 + }, + { + "epoch": 0.4576, + "grad_norm": 1.4234523935973298, + "learning_rate": 9.916965987847485e-06, + "loss": 1.108, + "step": 286 + }, + { + "epoch": 0.4592, + "grad_norm": 1.3083195776197443, + "learning_rate": 9.915267597206198e-06, + "loss": 0.9485, + "step": 287 + }, + { + "epoch": 0.4608, + "grad_norm": 1.419564765988596, + "learning_rate": 9.913552160795022e-06, + "loss": 1.0833, + "step": 288 + }, + { + "epoch": 0.4624, + "grad_norm": 1.4349711103964689, + "learning_rate": 9.911819684562954e-06, + "loss": 1.1133, + "step": 289 + }, + { + "epoch": 0.464, + "grad_norm": 1.41655866439432, + "learning_rate": 9.910070174518093e-06, + "loss": 1.0961, + "step": 290 + }, + { + "epoch": 0.4656, + "grad_norm": 1.2677493706871048, + "learning_rate": 9.908303636727604e-06, + "loss": 1.0251, + "step": 291 + }, + { + "epoch": 0.4672, + "grad_norm": 1.3501832149488533, + "learning_rate": 9.9065200773177e-06, + "loss": 1.083, + "step": 292 + }, + { + "epoch": 0.4688, + "grad_norm": 1.460231278456003, + "learning_rate": 9.904719502473635e-06, + "loss": 1.1137, + "step": 293 + }, + { + "epoch": 0.4704, + "grad_norm": 1.3036411536339068, + "learning_rate": 9.902901918439658e-06, + "loss": 0.9734, + "step": 294 + }, + { + "epoch": 0.472, + "grad_norm": 1.5395605105559098, + "learning_rate": 9.901067331519013e-06, + "loss": 1.0424, + "step": 295 + }, + { + "epoch": 0.4736, + "grad_norm": 1.4085757683413787, + "learning_rate": 9.899215748073906e-06, + "loss": 1.0396, + "step": 296 + }, + { + "epoch": 0.4752, + "grad_norm": 1.4537306617533265, + "learning_rate": 9.897347174525487e-06, + "loss": 1.1607, + "step": 297 + }, + { + "epoch": 0.4768, + "grad_norm": 1.3841071230965598, + "learning_rate": 9.895461617353823e-06, + "loss": 1.0525, + "step": 298 + }, + { + "epoch": 0.4784, + "grad_norm": 1.3868983041275091, + "learning_rate": 9.893559083097885e-06, + "loss": 1.0444, + "step": 299 + }, + { + "epoch": 0.48, + "grad_norm": 1.4568066176781722, + "learning_rate": 9.891639578355511e-06, + "loss": 1.0736, + "step": 300 + }, + { + "epoch": 0.4816, + "grad_norm": 1.3067515068359825, + "learning_rate": 9.8897031097834e-06, + "loss": 1.1044, + "step": 301 + }, + { + "epoch": 0.4832, + "grad_norm": 1.4260807731079035, + "learning_rate": 9.887749684097072e-06, + "loss": 1.0953, + "step": 302 + }, + { + "epoch": 0.4848, + "grad_norm": 1.80592454903872, + "learning_rate": 9.88577930807086e-06, + "loss": 1.1976, + "step": 303 + }, + { + "epoch": 0.4864, + "grad_norm": 1.518550004472384, + "learning_rate": 9.883791988537874e-06, + "loss": 1.1057, + "step": 304 + }, + { + "epoch": 0.488, + "grad_norm": 1.4266574785527073, + "learning_rate": 9.881787732389987e-06, + "loss": 1.0799, + "step": 305 + }, + { + "epoch": 0.4896, + "grad_norm": 1.356443023598987, + "learning_rate": 9.879766546577805e-06, + "loss": 1.1128, + "step": 306 + }, + { + "epoch": 0.4912, + "grad_norm": 1.4720434171341803, + "learning_rate": 9.877728438110645e-06, + "loss": 1.1867, + "step": 307 + }, + { + "epoch": 0.4928, + "grad_norm": 1.4448616854522536, + "learning_rate": 9.87567341405651e-06, + "loss": 1.0513, + "step": 308 + }, + { + "epoch": 0.4944, + "grad_norm": 1.5292387427331948, + "learning_rate": 9.873601481542065e-06, + "loss": 1.1308, + "step": 309 + }, + { + "epoch": 0.496, + "grad_norm": 1.5960318173461212, + "learning_rate": 9.871512647752612e-06, + "loss": 1.0847, + "step": 310 + }, + { + "epoch": 0.4976, + "grad_norm": 1.4239040091073365, + "learning_rate": 9.86940691993207e-06, + "loss": 1.1631, + "step": 311 + }, + { + "epoch": 0.4992, + "grad_norm": 1.3617595889098688, + "learning_rate": 9.867284305382936e-06, + "loss": 1.1187, + "step": 312 + }, + { + "epoch": 0.5008, + "grad_norm": 1.5144990765622857, + "learning_rate": 9.865144811466275e-06, + "loss": 1.2349, + "step": 313 + }, + { + "epoch": 0.5024, + "grad_norm": 1.4413232026956877, + "learning_rate": 9.86298844560169e-06, + "loss": 1.2465, + "step": 314 + }, + { + "epoch": 0.504, + "grad_norm": 1.376768835793776, + "learning_rate": 9.860815215267288e-06, + "loss": 1.0037, + "step": 315 + }, + { + "epoch": 0.5056, + "grad_norm": 1.4503533577704, + "learning_rate": 9.858625127999668e-06, + "loss": 1.11, + "step": 316 + }, + { + "epoch": 0.5072, + "grad_norm": 1.2915101862696745, + "learning_rate": 9.856418191393881e-06, + "loss": 1.1137, + "step": 317 + }, + { + "epoch": 0.5088, + "grad_norm": 1.4236402213132213, + "learning_rate": 9.854194413103418e-06, + "loss": 1.165, + "step": 318 + }, + { + "epoch": 0.5104, + "grad_norm": 1.3333599162084, + "learning_rate": 9.851953800840166e-06, + "loss": 1.0299, + "step": 319 + }, + { + "epoch": 0.512, + "grad_norm": 1.5293465874553285, + "learning_rate": 9.849696362374399e-06, + "loss": 1.1515, + "step": 320 + }, + { + "epoch": 0.5136, + "grad_norm": 1.2696937195306555, + "learning_rate": 9.847422105534739e-06, + "loss": 0.996, + "step": 321 + }, + { + "epoch": 0.5152, + "grad_norm": 1.4914577758056384, + "learning_rate": 9.845131038208135e-06, + "loss": 1.0589, + "step": 322 + }, + { + "epoch": 0.5168, + "grad_norm": 1.3309646892339204, + "learning_rate": 9.84282316833983e-06, + "loss": 1.1223, + "step": 323 + }, + { + "epoch": 0.5184, + "grad_norm": 1.6547862080564029, + "learning_rate": 9.84049850393334e-06, + "loss": 1.1241, + "step": 324 + }, + { + "epoch": 0.52, + "grad_norm": 1.4446068581433718, + "learning_rate": 9.838157053050423e-06, + "loss": 1.1515, + "step": 325 + }, + { + "epoch": 0.5216, + "grad_norm": 1.3572902614510736, + "learning_rate": 9.83579882381105e-06, + "loss": 0.9326, + "step": 326 + }, + { + "epoch": 0.5232, + "grad_norm": 1.3032141638666164, + "learning_rate": 9.83342382439338e-06, + "loss": 0.9887, + "step": 327 + }, + { + "epoch": 0.5248, + "grad_norm": 1.476111488230785, + "learning_rate": 9.831032063033726e-06, + "loss": 1.0604, + "step": 328 + }, + { + "epoch": 0.5264, + "grad_norm": 1.293357383036506, + "learning_rate": 9.828623548026533e-06, + "loss": 1.0694, + "step": 329 + }, + { + "epoch": 0.528, + "grad_norm": 1.3393010031541832, + "learning_rate": 9.826198287724346e-06, + "loss": 1.0594, + "step": 330 + }, + { + "epoch": 0.5296, + "grad_norm": 1.5578323587269973, + "learning_rate": 9.823756290537783e-06, + "loss": 1.0911, + "step": 331 + }, + { + "epoch": 0.5312, + "grad_norm": 1.4727909180652679, + "learning_rate": 9.821297564935499e-06, + "loss": 1.0078, + "step": 332 + }, + { + "epoch": 0.5328, + "grad_norm": 1.4156377789684005, + "learning_rate": 9.81882211944417e-06, + "loss": 0.9984, + "step": 333 + }, + { + "epoch": 0.5344, + "grad_norm": 1.425316618473854, + "learning_rate": 9.816329962648444e-06, + "loss": 1.0666, + "step": 334 + }, + { + "epoch": 0.536, + "grad_norm": 1.4749573178089799, + "learning_rate": 9.813821103190932e-06, + "loss": 1.042, + "step": 335 + }, + { + "epoch": 0.5376, + "grad_norm": 1.466236786142977, + "learning_rate": 9.811295549772169e-06, + "loss": 1.0649, + "step": 336 + }, + { + "epoch": 0.5392, + "grad_norm": 1.4394346664234121, + "learning_rate": 9.808753311150575e-06, + "loss": 1.0583, + "step": 337 + }, + { + "epoch": 0.5408, + "grad_norm": 1.4266866659060504, + "learning_rate": 9.80619439614244e-06, + "loss": 0.927, + "step": 338 + }, + { + "epoch": 0.5424, + "grad_norm": 1.4613623808585878, + "learning_rate": 9.803618813621885e-06, + "loss": 1.0895, + "step": 339 + }, + { + "epoch": 0.544, + "grad_norm": 1.2752317854741668, + "learning_rate": 9.801026572520832e-06, + "loss": 0.9663, + "step": 340 + }, + { + "epoch": 0.5456, + "grad_norm": 1.2578240474978186, + "learning_rate": 9.798417681828972e-06, + "loss": 1.0611, + "step": 341 + }, + { + "epoch": 0.5472, + "grad_norm": 1.3796245139401346, + "learning_rate": 9.795792150593739e-06, + "loss": 1.0326, + "step": 342 + }, + { + "epoch": 0.5488, + "grad_norm": 1.4335318454737809, + "learning_rate": 9.793149987920273e-06, + "loss": 1.1053, + "step": 343 + }, + { + "epoch": 0.5504, + "grad_norm": 1.3198025876924644, + "learning_rate": 9.79049120297139e-06, + "loss": 1.0434, + "step": 344 + }, + { + "epoch": 0.552, + "grad_norm": 1.4272450602656777, + "learning_rate": 9.787815804967554e-06, + "loss": 1.0491, + "step": 345 + }, + { + "epoch": 0.5536, + "grad_norm": 1.3981670027118367, + "learning_rate": 9.785123803186834e-06, + "loss": 0.9857, + "step": 346 + }, + { + "epoch": 0.5552, + "grad_norm": 1.3368617371666986, + "learning_rate": 9.782415206964892e-06, + "loss": 1.1536, + "step": 347 + }, + { + "epoch": 0.5568, + "grad_norm": 1.4323567295548643, + "learning_rate": 9.779690025694926e-06, + "loss": 1.0893, + "step": 348 + }, + { + "epoch": 0.5584, + "grad_norm": 1.399485624494657, + "learning_rate": 9.776948268827658e-06, + "loss": 1.0643, + "step": 349 + }, + { + "epoch": 0.56, + "grad_norm": 1.3484818742842373, + "learning_rate": 9.77418994587129e-06, + "loss": 0.9572, + "step": 350 + }, + { + "epoch": 0.5616, + "grad_norm": 1.4289747261006025, + "learning_rate": 9.771415066391473e-06, + "loss": 1.1299, + "step": 351 + }, + { + "epoch": 0.5632, + "grad_norm": 1.5667382297161747, + "learning_rate": 9.768623640011272e-06, + "loss": 1.0719, + "step": 352 + }, + { + "epoch": 0.5648, + "grad_norm": 1.5540796356790698, + "learning_rate": 9.765815676411145e-06, + "loss": 1.0784, + "step": 353 + }, + { + "epoch": 0.5664, + "grad_norm": 1.3587673433045933, + "learning_rate": 9.762991185328891e-06, + "loss": 1.0499, + "step": 354 + }, + { + "epoch": 0.568, + "grad_norm": 1.4033939019167627, + "learning_rate": 9.760150176559627e-06, + "loss": 1.0151, + "step": 355 + }, + { + "epoch": 0.5696, + "grad_norm": 1.4049000175769197, + "learning_rate": 9.757292659955755e-06, + "loss": 1.0542, + "step": 356 + }, + { + "epoch": 0.5712, + "grad_norm": 1.3434493531416045, + "learning_rate": 9.754418645426919e-06, + "loss": 0.9762, + "step": 357 + }, + { + "epoch": 0.5728, + "grad_norm": 1.3616889165101278, + "learning_rate": 9.751528142939986e-06, + "loss": 0.9538, + "step": 358 + }, + { + "epoch": 0.5744, + "grad_norm": 1.4020696983713603, + "learning_rate": 9.74862116251899e-06, + "loss": 1.1129, + "step": 359 + }, + { + "epoch": 0.576, + "grad_norm": 1.3827614900673553, + "learning_rate": 9.74569771424512e-06, + "loss": 0.9426, + "step": 360 + }, + { + "epoch": 0.5776, + "grad_norm": 1.4792586595847994, + "learning_rate": 9.742757808256667e-06, + "loss": 1.1004, + "step": 361 + }, + { + "epoch": 0.5792, + "grad_norm": 1.4224067433300234, + "learning_rate": 9.739801454749e-06, + "loss": 1.0168, + "step": 362 + }, + { + "epoch": 0.5808, + "grad_norm": 1.566855307680239, + "learning_rate": 9.736828663974527e-06, + "loss": 1.0908, + "step": 363 + }, + { + "epoch": 0.5824, + "grad_norm": 1.363750654977135, + "learning_rate": 9.733839446242655e-06, + "loss": 1.0617, + "step": 364 + }, + { + "epoch": 0.584, + "grad_norm": 1.2351780465049123, + "learning_rate": 9.730833811919763e-06, + "loss": 0.9059, + "step": 365 + }, + { + "epoch": 0.5856, + "grad_norm": 1.6293002889532675, + "learning_rate": 9.727811771429158e-06, + "loss": 0.9951, + "step": 366 + }, + { + "epoch": 0.5872, + "grad_norm": 1.5305070627940711, + "learning_rate": 9.724773335251046e-06, + "loss": 1.176, + "step": 367 + }, + { + "epoch": 0.5888, + "grad_norm": 1.3277686876255392, + "learning_rate": 9.721718513922488e-06, + "loss": 1.0177, + "step": 368 + }, + { + "epoch": 0.5904, + "grad_norm": 1.356984668070833, + "learning_rate": 9.71864731803737e-06, + "loss": 1.0318, + "step": 369 + }, + { + "epoch": 0.592, + "grad_norm": 1.2683522694587366, + "learning_rate": 9.715559758246363e-06, + "loss": 1.0251, + "step": 370 + }, + { + "epoch": 0.5936, + "grad_norm": 1.424444426436754, + "learning_rate": 9.712455845256888e-06, + "loss": 1.098, + "step": 371 + }, + { + "epoch": 0.5952, + "grad_norm": 1.3341358167076778, + "learning_rate": 9.709335589833076e-06, + "loss": 1.1373, + "step": 372 + }, + { + "epoch": 0.5968, + "grad_norm": 1.2870327681580784, + "learning_rate": 9.70619900279573e-06, + "loss": 0.8975, + "step": 373 + }, + { + "epoch": 0.5984, + "grad_norm": 1.3348420386376083, + "learning_rate": 9.703046095022297e-06, + "loss": 1.0064, + "step": 374 + }, + { + "epoch": 0.6, + "grad_norm": 1.3709173376168697, + "learning_rate": 9.699876877446815e-06, + "loss": 1.1438, + "step": 375 + }, + { + "epoch": 0.6016, + "grad_norm": 1.3760720157867286, + "learning_rate": 9.696691361059886e-06, + "loss": 1.0253, + "step": 376 + }, + { + "epoch": 0.6032, + "grad_norm": 1.5382638334918615, + "learning_rate": 9.693489556908641e-06, + "loss": 1.037, + "step": 377 + }, + { + "epoch": 0.6048, + "grad_norm": 1.351490372894956, + "learning_rate": 9.690271476096686e-06, + "loss": 1.16, + "step": 378 + }, + { + "epoch": 0.6064, + "grad_norm": 1.365510502558049, + "learning_rate": 9.68703712978408e-06, + "loss": 1.0615, + "step": 379 + }, + { + "epoch": 0.608, + "grad_norm": 1.3099829805135041, + "learning_rate": 9.683786529187287e-06, + "loss": 1.0203, + "step": 380 + }, + { + "epoch": 0.6096, + "grad_norm": 1.3157866637545363, + "learning_rate": 9.680519685579137e-06, + "loss": 1.056, + "step": 381 + }, + { + "epoch": 0.6112, + "grad_norm": 1.3650624681981065, + "learning_rate": 9.677236610288797e-06, + "loss": 0.9898, + "step": 382 + }, + { + "epoch": 0.6128, + "grad_norm": 1.3848893593322975, + "learning_rate": 9.673937314701714e-06, + "loss": 0.948, + "step": 383 + }, + { + "epoch": 0.6144, + "grad_norm": 1.3497879323322155, + "learning_rate": 9.670621810259596e-06, + "loss": 1.0288, + "step": 384 + }, + { + "epoch": 0.616, + "grad_norm": 1.565925882114841, + "learning_rate": 9.667290108460354e-06, + "loss": 0.972, + "step": 385 + }, + { + "epoch": 0.6176, + "grad_norm": 1.3291071954446392, + "learning_rate": 9.663942220858075e-06, + "loss": 0.9313, + "step": 386 + }, + { + "epoch": 0.6192, + "grad_norm": 1.4372820942877105, + "learning_rate": 9.660578159062977e-06, + "loss": 0.9868, + "step": 387 + }, + { + "epoch": 0.6208, + "grad_norm": 1.5008546489944374, + "learning_rate": 9.657197934741366e-06, + "loss": 1.1115, + "step": 388 + }, + { + "epoch": 0.6224, + "grad_norm": 1.2861900800211155, + "learning_rate": 9.6538015596156e-06, + "loss": 0.9564, + "step": 389 + }, + { + "epoch": 0.624, + "grad_norm": 1.4194164988442, + "learning_rate": 9.650389045464046e-06, + "loss": 1.0863, + "step": 390 + }, + { + "epoch": 0.6256, + "grad_norm": 1.7349864602957699, + "learning_rate": 9.646960404121042e-06, + "loss": 1.0481, + "step": 391 + }, + { + "epoch": 0.6272, + "grad_norm": 1.61642313812224, + "learning_rate": 9.643515647476851e-06, + "loss": 1.0813, + "step": 392 + }, + { + "epoch": 0.6288, + "grad_norm": 1.3380108321642106, + "learning_rate": 9.640054787477626e-06, + "loss": 1.0212, + "step": 393 + }, + { + "epoch": 0.6304, + "grad_norm": 1.2843270563012295, + "learning_rate": 9.63657783612536e-06, + "loss": 1.0151, + "step": 394 + }, + { + "epoch": 0.632, + "grad_norm": 1.4779743766918632, + "learning_rate": 9.633084805477857e-06, + "loss": 1.0835, + "step": 395 + }, + { + "epoch": 0.6336, + "grad_norm": 1.5792056912591286, + "learning_rate": 9.629575707648675e-06, + "loss": 1.0966, + "step": 396 + }, + { + "epoch": 0.6352, + "grad_norm": 1.4500281821713112, + "learning_rate": 9.626050554807096e-06, + "loss": 1.0102, + "step": 397 + }, + { + "epoch": 0.6368, + "grad_norm": 1.3757711053855997, + "learning_rate": 9.62250935917808e-06, + "loss": 1.0563, + "step": 398 + }, + { + "epoch": 0.6384, + "grad_norm": 1.3243322100582406, + "learning_rate": 9.618952133042223e-06, + "loss": 1.0321, + "step": 399 + }, + { + "epoch": 0.64, + "grad_norm": 1.3851560486813863, + "learning_rate": 9.615378888735706e-06, + "loss": 0.9338, + "step": 400 + }, + { + "epoch": 0.6416, + "grad_norm": 1.3327827962555758, + "learning_rate": 9.611789638650269e-06, + "loss": 1.0918, + "step": 401 + }, + { + "epoch": 0.6432, + "grad_norm": 1.275686910009996, + "learning_rate": 9.608184395233156e-06, + "loss": 1.0041, + "step": 402 + }, + { + "epoch": 0.6448, + "grad_norm": 1.4781053932291743, + "learning_rate": 9.604563170987072e-06, + "loss": 0.9842, + "step": 403 + }, + { + "epoch": 0.6464, + "grad_norm": 1.350356532097954, + "learning_rate": 9.600925978470143e-06, + "loss": 1.1321, + "step": 404 + }, + { + "epoch": 0.648, + "grad_norm": 1.3183676957465034, + "learning_rate": 9.597272830295877e-06, + "loss": 0.8684, + "step": 405 + }, + { + "epoch": 0.6496, + "grad_norm": 1.4067556519942528, + "learning_rate": 9.593603739133105e-06, + "loss": 0.9694, + "step": 406 + }, + { + "epoch": 0.6512, + "grad_norm": 1.4033440320123447, + "learning_rate": 9.589918717705957e-06, + "loss": 1.0279, + "step": 407 + }, + { + "epoch": 0.6528, + "grad_norm": 1.3560259043300673, + "learning_rate": 9.586217778793804e-06, + "loss": 0.9628, + "step": 408 + }, + { + "epoch": 0.6544, + "grad_norm": 1.4521228304296208, + "learning_rate": 9.582500935231215e-06, + "loss": 1.0583, + "step": 409 + }, + { + "epoch": 0.656, + "grad_norm": 1.4615181270645066, + "learning_rate": 9.57876819990792e-06, + "loss": 1.0718, + "step": 410 + }, + { + "epoch": 0.6576, + "grad_norm": 1.3445587241062362, + "learning_rate": 9.575019585768758e-06, + "loss": 1.0094, + "step": 411 + }, + { + "epoch": 0.6592, + "grad_norm": 1.3465793558230457, + "learning_rate": 9.571255105813632e-06, + "loss": 0.9939, + "step": 412 + }, + { + "epoch": 0.6608, + "grad_norm": 1.3068339329954002, + "learning_rate": 9.567474773097469e-06, + "loss": 0.9838, + "step": 413 + }, + { + "epoch": 0.6624, + "grad_norm": 1.3348153035667367, + "learning_rate": 9.563678600730175e-06, + "loss": 0.9961, + "step": 414 + }, + { + "epoch": 0.664, + "grad_norm": 1.3869880627035986, + "learning_rate": 9.559866601876581e-06, + "loss": 1.0584, + "step": 415 + }, + { + "epoch": 0.6656, + "grad_norm": 1.4161734094656369, + "learning_rate": 9.556038789756407e-06, + "loss": 0.9802, + "step": 416 + }, + { + "epoch": 0.6672, + "grad_norm": 1.403330196693304, + "learning_rate": 9.55219517764421e-06, + "loss": 0.9121, + "step": 417 + }, + { + "epoch": 0.6688, + "grad_norm": 1.375198033781532, + "learning_rate": 9.548335778869342e-06, + "loss": 1.0393, + "step": 418 + }, + { + "epoch": 0.6704, + "grad_norm": 1.4535458138738064, + "learning_rate": 9.544460606815901e-06, + "loss": 1.0355, + "step": 419 + }, + { + "epoch": 0.672, + "grad_norm": 1.4666829475111294, + "learning_rate": 9.540569674922685e-06, + "loss": 1.0592, + "step": 420 + }, + { + "epoch": 0.6736, + "grad_norm": 1.5661419472529932, + "learning_rate": 9.536662996683146e-06, + "loss": 1.063, + "step": 421 + }, + { + "epoch": 0.6752, + "grad_norm": 1.3649442522240554, + "learning_rate": 9.532740585645346e-06, + "loss": 1.0373, + "step": 422 + }, + { + "epoch": 0.6768, + "grad_norm": 1.522077045841566, + "learning_rate": 9.528802455411902e-06, + "loss": 1.0959, + "step": 423 + }, + { + "epoch": 0.6784, + "grad_norm": 1.3376725840655923, + "learning_rate": 9.52484861963995e-06, + "loss": 0.9812, + "step": 424 + }, + { + "epoch": 0.68, + "grad_norm": 1.5073458649838487, + "learning_rate": 9.520879092041085e-06, + "loss": 1.0158, + "step": 425 + }, + { + "epoch": 0.6816, + "grad_norm": 1.4229412458172932, + "learning_rate": 9.516893886381324e-06, + "loss": 1.0291, + "step": 426 + }, + { + "epoch": 0.6832, + "grad_norm": 1.416849856234234, + "learning_rate": 9.512893016481053e-06, + "loss": 1.0721, + "step": 427 + }, + { + "epoch": 0.6848, + "grad_norm": 1.3025128552242944, + "learning_rate": 9.508876496214983e-06, + "loss": 1.0327, + "step": 428 + }, + { + "epoch": 0.6864, + "grad_norm": 1.2684430584973059, + "learning_rate": 9.504844339512096e-06, + "loss": 1.0313, + "step": 429 + }, + { + "epoch": 0.688, + "grad_norm": 1.4524776583764727, + "learning_rate": 9.500796560355603e-06, + "loss": 0.9196, + "step": 430 + }, + { + "epoch": 0.6896, + "grad_norm": 1.3623624958985843, + "learning_rate": 9.496733172782889e-06, + "loss": 0.9745, + "step": 431 + }, + { + "epoch": 0.6912, + "grad_norm": 1.4941557995765784, + "learning_rate": 9.492654190885469e-06, + "loss": 1.1198, + "step": 432 + }, + { + "epoch": 0.6928, + "grad_norm": 1.454473352918338, + "learning_rate": 9.488559628808939e-06, + "loss": 0.9703, + "step": 433 + }, + { + "epoch": 0.6944, + "grad_norm": 1.5181228433567695, + "learning_rate": 9.484449500752927e-06, + "loss": 1.0861, + "step": 434 + }, + { + "epoch": 0.696, + "grad_norm": 1.440338143669436, + "learning_rate": 9.480323820971039e-06, + "loss": 1.0455, + "step": 435 + }, + { + "epoch": 0.6976, + "grad_norm": 1.3839783304870064, + "learning_rate": 9.476182603770814e-06, + "loss": 1.0234, + "step": 436 + }, + { + "epoch": 0.6992, + "grad_norm": 1.4315106406727882, + "learning_rate": 9.472025863513676e-06, + "loss": 0.9373, + "step": 437 + }, + { + "epoch": 0.7008, + "grad_norm": 1.460124969435515, + "learning_rate": 9.467853614614883e-06, + "loss": 0.8719, + "step": 438 + }, + { + "epoch": 0.7024, + "grad_norm": 1.3605654972387065, + "learning_rate": 9.46366587154347e-06, + "loss": 0.9736, + "step": 439 + }, + { + "epoch": 0.704, + "grad_norm": 1.4398229341498925, + "learning_rate": 9.459462648822209e-06, + "loss": 0.9944, + "step": 440 + }, + { + "epoch": 0.7056, + "grad_norm": 1.3425147616546218, + "learning_rate": 9.45524396102755e-06, + "loss": 0.8649, + "step": 441 + }, + { + "epoch": 0.7072, + "grad_norm": 1.3814499977284498, + "learning_rate": 9.451009822789583e-06, + "loss": 1.0668, + "step": 442 + }, + { + "epoch": 0.7088, + "grad_norm": 1.515868431752213, + "learning_rate": 9.44676024879197e-06, + "loss": 0.9735, + "step": 443 + }, + { + "epoch": 0.7104, + "grad_norm": 1.4122398644232614, + "learning_rate": 9.442495253771909e-06, + "loss": 1.0488, + "step": 444 + }, + { + "epoch": 0.712, + "grad_norm": 1.448253262824963, + "learning_rate": 9.438214852520073e-06, + "loss": 1.0108, + "step": 445 + }, + { + "epoch": 0.7136, + "grad_norm": 1.3898433869765308, + "learning_rate": 9.433919059880564e-06, + "loss": 1.0446, + "step": 446 + }, + { + "epoch": 0.7152, + "grad_norm": 1.4189149610925298, + "learning_rate": 9.429607890750863e-06, + "loss": 1.078, + "step": 447 + }, + { + "epoch": 0.7168, + "grad_norm": 1.454146339770495, + "learning_rate": 9.425281360081769e-06, + "loss": 0.8818, + "step": 448 + }, + { + "epoch": 0.7184, + "grad_norm": 1.274658994708157, + "learning_rate": 9.420939482877359e-06, + "loss": 0.8326, + "step": 449 + }, + { + "epoch": 0.72, + "grad_norm": 1.4398693953921002, + "learning_rate": 9.416582274194929e-06, + "loss": 0.9421, + "step": 450 + }, + { + "epoch": 0.7216, + "grad_norm": 1.4731642102431786, + "learning_rate": 9.412209749144947e-06, + "loss": 0.9234, + "step": 451 + }, + { + "epoch": 0.7232, + "grad_norm": 1.5352033907226434, + "learning_rate": 9.40782192289099e-06, + "loss": 0.8116, + "step": 452 + }, + { + "epoch": 0.7248, + "grad_norm": 1.4023895783840634, + "learning_rate": 9.4034188106497e-06, + "loss": 1.0467, + "step": 453 + }, + { + "epoch": 0.7264, + "grad_norm": 1.4776380400505558, + "learning_rate": 9.399000427690736e-06, + "loss": 1.0186, + "step": 454 + }, + { + "epoch": 0.728, + "grad_norm": 1.4965281834004576, + "learning_rate": 9.394566789336707e-06, + "loss": 1.0291, + "step": 455 + }, + { + "epoch": 0.7296, + "grad_norm": 1.4653625188327892, + "learning_rate": 9.390117910963132e-06, + "loss": 1.0703, + "step": 456 + }, + { + "epoch": 0.7312, + "grad_norm": 1.462418393729156, + "learning_rate": 9.385653807998376e-06, + "loss": 0.9559, + "step": 457 + }, + { + "epoch": 0.7328, + "grad_norm": 1.3302119494978049, + "learning_rate": 9.381174495923608e-06, + "loss": 0.9573, + "step": 458 + }, + { + "epoch": 0.7344, + "grad_norm": 1.3552136652414049, + "learning_rate": 9.376679990272736e-06, + "loss": 1.0005, + "step": 459 + }, + { + "epoch": 0.736, + "grad_norm": 1.2685383712045888, + "learning_rate": 9.37217030663236e-06, + "loss": 1.0049, + "step": 460 + }, + { + "epoch": 0.7376, + "grad_norm": 1.3936190052257311, + "learning_rate": 9.367645460641716e-06, + "loss": 0.9823, + "step": 461 + }, + { + "epoch": 0.7392, + "grad_norm": 1.4268026826598337, + "learning_rate": 9.36310546799262e-06, + "loss": 1.0155, + "step": 462 + }, + { + "epoch": 0.7408, + "grad_norm": 1.4533276720040302, + "learning_rate": 9.358550344429421e-06, + "loss": 1.0139, + "step": 463 + }, + { + "epoch": 0.7424, + "grad_norm": 1.521002659902884, + "learning_rate": 9.353980105748934e-06, + "loss": 0.8908, + "step": 464 + }, + { + "epoch": 0.744, + "grad_norm": 1.641710919738433, + "learning_rate": 9.349394767800397e-06, + "loss": 1.0306, + "step": 465 + }, + { + "epoch": 0.7456, + "grad_norm": 1.4716078872980527, + "learning_rate": 9.344794346485408e-06, + "loss": 0.8803, + "step": 466 + }, + { + "epoch": 0.7472, + "grad_norm": 1.5122452528847365, + "learning_rate": 9.340178857757876e-06, + "loss": 0.9515, + "step": 467 + }, + { + "epoch": 0.7488, + "grad_norm": 1.5798633305945757, + "learning_rate": 9.335548317623957e-06, + "loss": 1.0285, + "step": 468 + }, + { + "epoch": 0.7504, + "grad_norm": 1.4307669033591586, + "learning_rate": 9.330902742142013e-06, + "loss": 0.9047, + "step": 469 + }, + { + "epoch": 0.752, + "grad_norm": 1.8427803448268054, + "learning_rate": 9.326242147422538e-06, + "loss": 1.1001, + "step": 470 + }, + { + "epoch": 0.7536, + "grad_norm": 1.575779919679042, + "learning_rate": 9.321566549628118e-06, + "loss": 0.9324, + "step": 471 + }, + { + "epoch": 0.7552, + "grad_norm": 1.4123319976161952, + "learning_rate": 9.316875964973366e-06, + "loss": 1.0209, + "step": 472 + }, + { + "epoch": 0.7568, + "grad_norm": 1.6511900788251523, + "learning_rate": 9.31217040972487e-06, + "loss": 0.8342, + "step": 473 + }, + { + "epoch": 0.7584, + "grad_norm": 1.390908571577129, + "learning_rate": 9.307449900201132e-06, + "loss": 1.0583, + "step": 474 + }, + { + "epoch": 0.76, + "grad_norm": 1.3872187347904474, + "learning_rate": 9.302714452772515e-06, + "loss": 0.9585, + "step": 475 + }, + { + "epoch": 0.7616, + "grad_norm": 1.450555938560158, + "learning_rate": 9.29796408386119e-06, + "loss": 1.052, + "step": 476 + }, + { + "epoch": 0.7632, + "grad_norm": 1.406397864368289, + "learning_rate": 9.293198809941067e-06, + "loss": 0.8413, + "step": 477 + }, + { + "epoch": 0.7648, + "grad_norm": 1.3931796985709013, + "learning_rate": 9.288418647537752e-06, + "loss": 0.7519, + "step": 478 + }, + { + "epoch": 0.7664, + "grad_norm": 1.5319054898122384, + "learning_rate": 9.283623613228479e-06, + "loss": 1.0298, + "step": 479 + }, + { + "epoch": 0.768, + "grad_norm": 1.5432936514032687, + "learning_rate": 9.27881372364206e-06, + "loss": 0.9633, + "step": 480 + }, + { + "epoch": 0.7696, + "grad_norm": 1.5274086376229343, + "learning_rate": 9.27398899545882e-06, + "loss": 0.8164, + "step": 481 + }, + { + "epoch": 0.7712, + "grad_norm": 1.3980053759851052, + "learning_rate": 9.269149445410545e-06, + "loss": 0.9417, + "step": 482 + }, + { + "epoch": 0.7728, + "grad_norm": 1.49967062250857, + "learning_rate": 9.264295090280424e-06, + "loss": 0.9096, + "step": 483 + }, + { + "epoch": 0.7744, + "grad_norm": 1.4102222556674524, + "learning_rate": 9.259425946902987e-06, + "loss": 0.8849, + "step": 484 + }, + { + "epoch": 0.776, + "grad_norm": 1.3685267843710929, + "learning_rate": 9.254542032164047e-06, + "loss": 0.9342, + "step": 485 + }, + { + "epoch": 0.7776, + "grad_norm": 1.4834858154279325, + "learning_rate": 9.249643363000645e-06, + "loss": 0.8741, + "step": 486 + }, + { + "epoch": 0.7792, + "grad_norm": 1.394239062821782, + "learning_rate": 9.24472995640099e-06, + "loss": 0.9932, + "step": 487 + }, + { + "epoch": 0.7808, + "grad_norm": 1.3564011350001746, + "learning_rate": 9.239801829404396e-06, + "loss": 0.8935, + "step": 488 + }, + { + "epoch": 0.7824, + "grad_norm": 1.2807001052427405, + "learning_rate": 9.234858999101232e-06, + "loss": 0.958, + "step": 489 + }, + { + "epoch": 0.784, + "grad_norm": 1.4440503426953395, + "learning_rate": 9.22990148263285e-06, + "loss": 0.8924, + "step": 490 + }, + { + "epoch": 0.7856, + "grad_norm": 1.7351828274477326, + "learning_rate": 9.224929297191536e-06, + "loss": 1.0795, + "step": 491 + }, + { + "epoch": 0.7872, + "grad_norm": 1.4159219286177769, + "learning_rate": 9.219942460020447e-06, + "loss": 1.0378, + "step": 492 + }, + { + "epoch": 0.7888, + "grad_norm": 1.3241789957911565, + "learning_rate": 9.214940988413552e-06, + "loss": 0.936, + "step": 493 + }, + { + "epoch": 0.7904, + "grad_norm": 1.3581074529498713, + "learning_rate": 9.20992489971557e-06, + "loss": 0.8151, + "step": 494 + }, + { + "epoch": 0.792, + "grad_norm": 1.770576835354788, + "learning_rate": 9.204894211321906e-06, + "loss": 0.8653, + "step": 495 + }, + { + "epoch": 0.7936, + "grad_norm": 1.4485875645863802, + "learning_rate": 9.199848940678607e-06, + "loss": 1.0535, + "step": 496 + }, + { + "epoch": 0.7952, + "grad_norm": 1.3898779265255505, + "learning_rate": 9.194789105282277e-06, + "loss": 0.958, + "step": 497 + }, + { + "epoch": 0.7968, + "grad_norm": 1.3461954362036133, + "learning_rate": 9.189714722680041e-06, + "loss": 0.8689, + "step": 498 + }, + { + "epoch": 0.7984, + "grad_norm": 1.4353523589481991, + "learning_rate": 9.184625810469468e-06, + "loss": 0.9563, + "step": 499 + }, + { + "epoch": 0.8, + "grad_norm": 1.238506915526249, + "learning_rate": 9.179522386298508e-06, + "loss": 0.9404, + "step": 500 + }, + { + "epoch": 0.8016, + "grad_norm": 1.370849780956035, + "learning_rate": 9.174404467865447e-06, + "loss": 0.9067, + "step": 501 + }, + { + "epoch": 0.8032, + "grad_norm": 1.4160629336418484, + "learning_rate": 9.169272072918834e-06, + "loss": 1.0436, + "step": 502 + }, + { + "epoch": 0.8048, + "grad_norm": 1.2951165265128666, + "learning_rate": 9.164125219257419e-06, + "loss": 0.9509, + "step": 503 + }, + { + "epoch": 0.8064, + "grad_norm": 1.2494437565297118, + "learning_rate": 9.158963924730092e-06, + "loss": 0.9967, + "step": 504 + }, + { + "epoch": 0.808, + "grad_norm": 1.4623360028578793, + "learning_rate": 9.153788207235827e-06, + "loss": 0.9766, + "step": 505 + }, + { + "epoch": 0.8096, + "grad_norm": 1.3324285057386127, + "learning_rate": 9.148598084723615e-06, + "loss": 0.7784, + "step": 506 + }, + { + "epoch": 0.8112, + "grad_norm": 1.4749568020074846, + "learning_rate": 9.143393575192402e-06, + "loss": 0.9145, + "step": 507 + }, + { + "epoch": 0.8128, + "grad_norm": 1.3764109583409792, + "learning_rate": 9.138174696691025e-06, + "loss": 0.8893, + "step": 508 + }, + { + "epoch": 0.8144, + "grad_norm": 1.40301653728679, + "learning_rate": 9.132941467318152e-06, + "loss": 1.0235, + "step": 509 + }, + { + "epoch": 0.816, + "grad_norm": 1.3912336384908608, + "learning_rate": 9.127693905222223e-06, + "loss": 0.9707, + "step": 510 + }, + { + "epoch": 0.8176, + "grad_norm": 1.4997379377361553, + "learning_rate": 9.122432028601377e-06, + "loss": 0.8917, + "step": 511 + }, + { + "epoch": 0.8192, + "grad_norm": 1.4322833624081515, + "learning_rate": 9.1171558557034e-06, + "loss": 1.038, + "step": 512 + }, + { + "epoch": 0.8208, + "grad_norm": 1.3929569631160912, + "learning_rate": 9.111865404825652e-06, + "loss": 0.8784, + "step": 513 + }, + { + "epoch": 0.8224, + "grad_norm": 1.637572058738915, + "learning_rate": 9.10656069431501e-06, + "loss": 0.8974, + "step": 514 + }, + { + "epoch": 0.824, + "grad_norm": 1.2948647889172866, + "learning_rate": 9.101241742567802e-06, + "loss": 0.8767, + "step": 515 + }, + { + "epoch": 0.8256, + "grad_norm": 1.3408107051963223, + "learning_rate": 9.095908568029741e-06, + "loss": 0.8146, + "step": 516 + }, + { + "epoch": 0.8272, + "grad_norm": 1.474274545744325, + "learning_rate": 9.09056118919587e-06, + "loss": 0.8586, + "step": 517 + }, + { + "epoch": 0.8288, + "grad_norm": 1.3352798501271326, + "learning_rate": 9.085199624610486e-06, + "loss": 0.9243, + "step": 518 + }, + { + "epoch": 0.8304, + "grad_norm": 1.4717451332802163, + "learning_rate": 9.079823892867083e-06, + "loss": 0.8866, + "step": 519 + }, + { + "epoch": 0.832, + "grad_norm": 1.5418753247936274, + "learning_rate": 9.074434012608282e-06, + "loss": 0.9183, + "step": 520 + }, + { + "epoch": 0.8336, + "grad_norm": 1.5053783608392823, + "learning_rate": 9.069030002525777e-06, + "loss": 1.0681, + "step": 521 + }, + { + "epoch": 0.8352, + "grad_norm": 1.3493309194564662, + "learning_rate": 9.063611881360258e-06, + "loss": 0.994, + "step": 522 + }, + { + "epoch": 0.8368, + "grad_norm": 1.5139291942099158, + "learning_rate": 9.05817966790135e-06, + "loss": 0.9318, + "step": 523 + }, + { + "epoch": 0.8384, + "grad_norm": 1.346865186676289, + "learning_rate": 9.052733380987555e-06, + "loss": 1.0488, + "step": 524 + }, + { + "epoch": 0.84, + "grad_norm": 1.411407629973773, + "learning_rate": 9.047273039506174e-06, + "loss": 0.8485, + "step": 525 + }, + { + "epoch": 0.8416, + "grad_norm": 1.3573160037669074, + "learning_rate": 9.041798662393255e-06, + "loss": 1.0622, + "step": 526 + }, + { + "epoch": 0.8432, + "grad_norm": 1.5045820525776132, + "learning_rate": 9.036310268633515e-06, + "loss": 0.9283, + "step": 527 + }, + { + "epoch": 0.8448, + "grad_norm": 1.6443751015760586, + "learning_rate": 9.030807877260278e-06, + "loss": 1.042, + "step": 528 + }, + { + "epoch": 0.8464, + "grad_norm": 1.4069340885537325, + "learning_rate": 9.025291507355419e-06, + "loss": 1.0123, + "step": 529 + }, + { + "epoch": 0.848, + "grad_norm": 1.4468499985695986, + "learning_rate": 9.01976117804928e-06, + "loss": 1.0073, + "step": 530 + }, + { + "epoch": 0.8496, + "grad_norm": 1.491536292233139, + "learning_rate": 9.014216908520619e-06, + "loss": 1.0151, + "step": 531 + }, + { + "epoch": 0.8512, + "grad_norm": 1.4148302450423154, + "learning_rate": 9.008658717996538e-06, + "loss": 0.8005, + "step": 532 + }, + { + "epoch": 0.8528, + "grad_norm": 1.5002636294991516, + "learning_rate": 9.003086625752414e-06, + "loss": 0.8713, + "step": 533 + }, + { + "epoch": 0.8544, + "grad_norm": 1.4154094029725712, + "learning_rate": 8.997500651111833e-06, + "loss": 0.9189, + "step": 534 + }, + { + "epoch": 0.856, + "grad_norm": 1.5940934634411033, + "learning_rate": 8.991900813446523e-06, + "loss": 1.1525, + "step": 535 + }, + { + "epoch": 0.8576, + "grad_norm": 1.4598501462944218, + "learning_rate": 8.986287132176295e-06, + "loss": 0.8486, + "step": 536 + }, + { + "epoch": 0.8592, + "grad_norm": 1.2206810298850677, + "learning_rate": 8.980659626768961e-06, + "loss": 0.8157, + "step": 537 + }, + { + "epoch": 0.8608, + "grad_norm": 1.366214691817922, + "learning_rate": 8.975018316740278e-06, + "loss": 0.8793, + "step": 538 + }, + { + "epoch": 0.8624, + "grad_norm": 1.4464236687534078, + "learning_rate": 8.969363221653875e-06, + "loss": 0.828, + "step": 539 + }, + { + "epoch": 0.864, + "grad_norm": 1.504200571483841, + "learning_rate": 8.963694361121186e-06, + "loss": 0.889, + "step": 540 + }, + { + "epoch": 0.8656, + "grad_norm": 1.3741153204304815, + "learning_rate": 8.958011754801383e-06, + "loss": 0.8933, + "step": 541 + }, + { + "epoch": 0.8672, + "grad_norm": 1.5571331900681733, + "learning_rate": 8.952315422401307e-06, + "loss": 0.9756, + "step": 542 + }, + { + "epoch": 0.8688, + "grad_norm": 1.563803522445841, + "learning_rate": 8.946605383675403e-06, + "loss": 0.9677, + "step": 543 + }, + { + "epoch": 0.8704, + "grad_norm": 1.4223256865675364, + "learning_rate": 8.940881658425645e-06, + "loss": 0.7662, + "step": 544 + }, + { + "epoch": 0.872, + "grad_norm": 1.5331985717149479, + "learning_rate": 8.93514426650147e-06, + "loss": 1.0973, + "step": 545 + }, + { + "epoch": 0.8736, + "grad_norm": 1.4592217601695612, + "learning_rate": 8.929393227799715e-06, + "loss": 0.9849, + "step": 546 + }, + { + "epoch": 0.8752, + "grad_norm": 1.35648945624887, + "learning_rate": 8.923628562264536e-06, + "loss": 1.0214, + "step": 547 + }, + { + "epoch": 0.8768, + "grad_norm": 1.3976902881668627, + "learning_rate": 8.917850289887353e-06, + "loss": 0.9981, + "step": 548 + }, + { + "epoch": 0.8784, + "grad_norm": 1.393326487055514, + "learning_rate": 8.91205843070677e-06, + "loss": 1.0041, + "step": 549 + }, + { + "epoch": 0.88, + "grad_norm": 1.622334625821984, + "learning_rate": 8.906253004808506e-06, + "loss": 0.9277, + "step": 550 + }, + { + "epoch": 0.8816, + "grad_norm": 1.3518556798628933, + "learning_rate": 8.900434032325332e-06, + "loss": 1.0108, + "step": 551 + }, + { + "epoch": 0.8832, + "grad_norm": 1.3453468202758352, + "learning_rate": 8.894601533437e-06, + "loss": 0.9626, + "step": 552 + }, + { + "epoch": 0.8848, + "grad_norm": 1.4142706573546748, + "learning_rate": 8.888755528370163e-06, + "loss": 0.8083, + "step": 553 + }, + { + "epoch": 0.8864, + "grad_norm": 1.4560792961358122, + "learning_rate": 8.882896037398322e-06, + "loss": 0.9766, + "step": 554 + }, + { + "epoch": 0.888, + "grad_norm": 1.2912660906242206, + "learning_rate": 8.877023080841739e-06, + "loss": 0.8632, + "step": 555 + }, + { + "epoch": 0.8896, + "grad_norm": 1.282474100815103, + "learning_rate": 8.871136679067372e-06, + "loss": 0.8983, + "step": 556 + }, + { + "epoch": 0.8912, + "grad_norm": 1.3112839120354007, + "learning_rate": 8.865236852488813e-06, + "loss": 1.0322, + "step": 557 + }, + { + "epoch": 0.8928, + "grad_norm": 1.3621632259910548, + "learning_rate": 8.859323621566207e-06, + "loss": 1.0287, + "step": 558 + }, + { + "epoch": 0.8944, + "grad_norm": 1.5910374654894264, + "learning_rate": 8.853397006806183e-06, + "loss": 0.9828, + "step": 559 + }, + { + "epoch": 0.896, + "grad_norm": 1.7360251741625654, + "learning_rate": 8.847457028761783e-06, + "loss": 0.9155, + "step": 560 + }, + { + "epoch": 0.8976, + "grad_norm": 1.3895171639579713, + "learning_rate": 8.841503708032398e-06, + "loss": 0.9202, + "step": 561 + }, + { + "epoch": 0.8992, + "grad_norm": 1.3975492240869014, + "learning_rate": 8.835537065263684e-06, + "loss": 0.9689, + "step": 562 + }, + { + "epoch": 0.9008, + "grad_norm": 1.5387715653908491, + "learning_rate": 8.829557121147499e-06, + "loss": 0.7787, + "step": 563 + }, + { + "epoch": 0.9024, + "grad_norm": 1.5403130406239296, + "learning_rate": 8.82356389642183e-06, + "loss": 0.8101, + "step": 564 + }, + { + "epoch": 0.904, + "grad_norm": 1.4201712683956695, + "learning_rate": 8.817557411870717e-06, + "loss": 0.9049, + "step": 565 + }, + { + "epoch": 0.9056, + "grad_norm": 1.4311177509030442, + "learning_rate": 8.811537688324187e-06, + "loss": 1.1066, + "step": 566 + }, + { + "epoch": 0.9072, + "grad_norm": 1.6019997601518197, + "learning_rate": 8.805504746658183e-06, + "loss": 0.8932, + "step": 567 + }, + { + "epoch": 0.9088, + "grad_norm": 1.5346907398057228, + "learning_rate": 8.799458607794476e-06, + "loss": 0.9188, + "step": 568 + }, + { + "epoch": 0.9104, + "grad_norm": 1.3418191741239052, + "learning_rate": 8.793399292700616e-06, + "loss": 0.7528, + "step": 569 + }, + { + "epoch": 0.912, + "grad_norm": 1.382352397042085, + "learning_rate": 8.787326822389836e-06, + "loss": 0.9525, + "step": 570 + }, + { + "epoch": 0.9136, + "grad_norm": 1.5669966399046997, + "learning_rate": 8.781241217921e-06, + "loss": 0.8999, + "step": 571 + }, + { + "epoch": 0.9152, + "grad_norm": 1.6401100746122428, + "learning_rate": 8.775142500398513e-06, + "loss": 0.8721, + "step": 572 + }, + { + "epoch": 0.9168, + "grad_norm": 1.358336625713025, + "learning_rate": 8.769030690972262e-06, + "loss": 0.9477, + "step": 573 + }, + { + "epoch": 0.9184, + "grad_norm": 1.7128352870499037, + "learning_rate": 8.76290581083753e-06, + "loss": 0.8941, + "step": 574 + }, + { + "epoch": 0.92, + "grad_norm": 1.3994151039561413, + "learning_rate": 8.756767881234928e-06, + "loss": 1.0012, + "step": 575 + }, + { + "epoch": 0.9216, + "grad_norm": 1.4454731560472749, + "learning_rate": 8.750616923450328e-06, + "loss": 0.8908, + "step": 576 + }, + { + "epoch": 0.9232, + "grad_norm": 1.419632383768781, + "learning_rate": 8.744452958814775e-06, + "loss": 0.9682, + "step": 577 + }, + { + "epoch": 0.9248, + "grad_norm": 1.467796332389228, + "learning_rate": 8.738276008704426e-06, + "loss": 1.0111, + "step": 578 + }, + { + "epoch": 0.9264, + "grad_norm": 1.4604232569075957, + "learning_rate": 8.732086094540467e-06, + "loss": 0.924, + "step": 579 + }, + { + "epoch": 0.928, + "grad_norm": 1.4717953084543596, + "learning_rate": 8.725883237789046e-06, + "loss": 0.9978, + "step": 580 + }, + { + "epoch": 0.9296, + "grad_norm": 1.4082099843914526, + "learning_rate": 8.719667459961191e-06, + "loss": 0.8686, + "step": 581 + }, + { + "epoch": 0.9312, + "grad_norm": 1.6474003041888512, + "learning_rate": 8.713438782612743e-06, + "loss": 0.9175, + "step": 582 + }, + { + "epoch": 0.9328, + "grad_norm": 1.3073897969502495, + "learning_rate": 8.707197227344275e-06, + "loss": 0.9628, + "step": 583 + }, + { + "epoch": 0.9344, + "grad_norm": 1.3152130346924975, + "learning_rate": 8.700942815801023e-06, + "loss": 0.9566, + "step": 584 + }, + { + "epoch": 0.936, + "grad_norm": 1.3769807176772066, + "learning_rate": 8.6946755696728e-06, + "loss": 0.9675, + "step": 585 + }, + { + "epoch": 0.9376, + "grad_norm": 1.3923535033005527, + "learning_rate": 8.688395510693939e-06, + "loss": 0.8565, + "step": 586 + }, + { + "epoch": 0.9392, + "grad_norm": 1.4986518252287144, + "learning_rate": 8.682102660643196e-06, + "loss": 0.9421, + "step": 587 + }, + { + "epoch": 0.9408, + "grad_norm": 1.4722552033472776, + "learning_rate": 8.675797041343696e-06, + "loss": 0.9932, + "step": 588 + }, + { + "epoch": 0.9424, + "grad_norm": 1.3302095748418352, + "learning_rate": 8.669478674662839e-06, + "loss": 0.7199, + "step": 589 + }, + { + "epoch": 0.944, + "grad_norm": 1.4560186060094533, + "learning_rate": 8.663147582512232e-06, + "loss": 0.8765, + "step": 590 + }, + { + "epoch": 0.9456, + "grad_norm": 1.5525527897094802, + "learning_rate": 8.65680378684762e-06, + "loss": 0.9584, + "step": 591 + }, + { + "epoch": 0.9472, + "grad_norm": 1.4910849428701267, + "learning_rate": 8.6504473096688e-06, + "loss": 0.9156, + "step": 592 + }, + { + "epoch": 0.9488, + "grad_norm": 1.4283774795561834, + "learning_rate": 8.64407817301954e-06, + "loss": 0.9388, + "step": 593 + }, + { + "epoch": 0.9504, + "grad_norm": 1.3981306558257078, + "learning_rate": 8.637696398987517e-06, + "loss": 0.866, + "step": 594 + }, + { + "epoch": 0.952, + "grad_norm": 1.3805052801264885, + "learning_rate": 8.631302009704235e-06, + "loss": 0.8499, + "step": 595 + }, + { + "epoch": 0.9536, + "grad_norm": 1.3819047614321103, + "learning_rate": 8.624895027344943e-06, + "loss": 0.9925, + "step": 596 + }, + { + "epoch": 0.9552, + "grad_norm": 1.373858197863816, + "learning_rate": 8.618475474128563e-06, + "loss": 0.8219, + "step": 597 + }, + { + "epoch": 0.9568, + "grad_norm": 1.457164534293568, + "learning_rate": 8.61204337231761e-06, + "loss": 0.8931, + "step": 598 + }, + { + "epoch": 0.9584, + "grad_norm": 1.3633032487499086, + "learning_rate": 8.605598744218122e-06, + "loss": 0.9469, + "step": 599 + }, + { + "epoch": 0.96, + "grad_norm": 1.4861248088551802, + "learning_rate": 8.599141612179572e-06, + "loss": 0.8376, + "step": 600 + }, + { + "epoch": 0.9616, + "grad_norm": 1.3955680245886384, + "learning_rate": 8.592671998594794e-06, + "loss": 0.7075, + "step": 601 + }, + { + "epoch": 0.9632, + "grad_norm": 1.369109178076816, + "learning_rate": 8.586189925899913e-06, + "loss": 1.0529, + "step": 602 + }, + { + "epoch": 0.9648, + "grad_norm": 1.3427712910637437, + "learning_rate": 8.57969541657426e-06, + "loss": 0.7588, + "step": 603 + }, + { + "epoch": 0.9664, + "grad_norm": 1.3608443355480078, + "learning_rate": 8.57318849314029e-06, + "loss": 0.8033, + "step": 604 + }, + { + "epoch": 0.968, + "grad_norm": 1.7105298590531357, + "learning_rate": 8.566669178163513e-06, + "loss": 0.9374, + "step": 605 + }, + { + "epoch": 0.9696, + "grad_norm": 1.386360426394754, + "learning_rate": 8.560137494252416e-06, + "loss": 0.8014, + "step": 606 + }, + { + "epoch": 0.9712, + "grad_norm": 1.4510189857433264, + "learning_rate": 8.553593464058374e-06, + "loss": 0.9721, + "step": 607 + }, + { + "epoch": 0.9728, + "grad_norm": 1.340447114304886, + "learning_rate": 8.54703711027558e-06, + "loss": 0.7932, + "step": 608 + }, + { + "epoch": 0.9744, + "grad_norm": 1.4285335581683642, + "learning_rate": 8.540468455640964e-06, + "loss": 1.0418, + "step": 609 + }, + { + "epoch": 0.976, + "grad_norm": 16.803896978761056, + "learning_rate": 8.533887522934114e-06, + "loss": 0.9427, + "step": 610 + }, + { + "epoch": 0.9776, + "grad_norm": 1.665721896368663, + "learning_rate": 8.527294334977201e-06, + "loss": 0.9956, + "step": 611 + }, + { + "epoch": 0.9792, + "grad_norm": 1.5171218006454494, + "learning_rate": 8.520688914634894e-06, + "loss": 1.0418, + "step": 612 + }, + { + "epoch": 0.9808, + "grad_norm": 1.470209467232657, + "learning_rate": 8.51407128481428e-06, + "loss": 0.8713, + "step": 613 + }, + { + "epoch": 0.9824, + "grad_norm": 1.346090684374857, + "learning_rate": 8.507441468464792e-06, + "loss": 0.8803, + "step": 614 + }, + { + "epoch": 0.984, + "grad_norm": 1.458017891779872, + "learning_rate": 8.50079948857812e-06, + "loss": 0.7842, + "step": 615 + }, + { + "epoch": 0.9856, + "grad_norm": 1.4381766913280036, + "learning_rate": 8.494145368188143e-06, + "loss": 0.7045, + "step": 616 + }, + { + "epoch": 0.9872, + "grad_norm": 1.7829705770360416, + "learning_rate": 8.487479130370838e-06, + "loss": 0.8787, + "step": 617 + }, + { + "epoch": 0.9888, + "grad_norm": 1.446303937218383, + "learning_rate": 8.480800798244202e-06, + "loss": 0.9451, + "step": 618 + }, + { + "epoch": 0.9904, + "grad_norm": 1.4273277946413612, + "learning_rate": 8.47411039496818e-06, + "loss": 0.8296, + "step": 619 + }, + { + "epoch": 0.992, + "grad_norm": 1.2764160651206857, + "learning_rate": 8.467407943744574e-06, + "loss": 0.8424, + "step": 620 + }, + { + "epoch": 0.9936, + "grad_norm": 1.4416231540108717, + "learning_rate": 8.460693467816972e-06, + "loss": 0.9079, + "step": 621 + }, + { + "epoch": 0.9952, + "grad_norm": 1.2384301031567844, + "learning_rate": 8.453966990470656e-06, + "loss": 0.7483, + "step": 622 + }, + { + "epoch": 0.9968, + "grad_norm": 1.5322024323708576, + "learning_rate": 8.447228535032536e-06, + "loss": 0.9079, + "step": 623 + }, + { + "epoch": 0.9984, + "grad_norm": 1.4765307800726852, + "learning_rate": 8.440478124871054e-06, + "loss": 0.9689, + "step": 624 + }, + { + "epoch": 1.0, + "grad_norm": 1.4679727544921668, + "learning_rate": 8.433715783396115e-06, + "loss": 0.948, + "step": 625 + }, + { + "epoch": 1.0016, + "grad_norm": 1.3150463559924286, + "learning_rate": 8.426941534058999e-06, + "loss": 0.6379, + "step": 626 + }, + { + "epoch": 1.0032, + "grad_norm": 1.3382635596905816, + "learning_rate": 8.420155400352279e-06, + "loss": 0.6869, + "step": 627 + }, + { + "epoch": 1.0048, + "grad_norm": 1.3418711158443763, + "learning_rate": 8.413357405809748e-06, + "loss": 0.7021, + "step": 628 + }, + { + "epoch": 1.0064, + "grad_norm": 1.3244033776131163, + "learning_rate": 8.406547574006326e-06, + "loss": 0.6935, + "step": 629 + }, + { + "epoch": 1.008, + "grad_norm": 1.3649807955427056, + "learning_rate": 8.399725928557985e-06, + "loss": 0.8212, + "step": 630 + }, + { + "epoch": 1.0096, + "grad_norm": 1.313022533618309, + "learning_rate": 8.39289249312167e-06, + "loss": 0.783, + "step": 631 + }, + { + "epoch": 1.0112, + "grad_norm": 1.3423988973648833, + "learning_rate": 8.386047291395208e-06, + "loss": 0.6337, + "step": 632 + }, + { + "epoch": 1.0128, + "grad_norm": 1.4447629126754589, + "learning_rate": 8.37919034711723e-06, + "loss": 0.6779, + "step": 633 + }, + { + "epoch": 1.0144, + "grad_norm": 1.3224164726574559, + "learning_rate": 8.372321684067092e-06, + "loss": 0.542, + "step": 634 + }, + { + "epoch": 1.016, + "grad_norm": 1.5926696379191534, + "learning_rate": 8.36544132606479e-06, + "loss": 0.7795, + "step": 635 + }, + { + "epoch": 1.0176, + "grad_norm": 1.4456391681537013, + "learning_rate": 8.358549296970877e-06, + "loss": 0.3835, + "step": 636 + }, + { + "epoch": 1.0192, + "grad_norm": 1.1872760931188928, + "learning_rate": 8.351645620686377e-06, + "loss": 0.7666, + "step": 637 + }, + { + "epoch": 1.0208, + "grad_norm": 1.3357765808877722, + "learning_rate": 8.34473032115271e-06, + "loss": 0.8622, + "step": 638 + }, + { + "epoch": 1.0224, + "grad_norm": 1.2414919946425809, + "learning_rate": 8.337803422351602e-06, + "loss": 0.8632, + "step": 639 + }, + { + "epoch": 1.024, + "grad_norm": 1.2659916609600506, + "learning_rate": 8.33086494830501e-06, + "loss": 0.4974, + "step": 640 + }, + { + "epoch": 1.0256, + "grad_norm": 1.25172661614131, + "learning_rate": 8.323914923075018e-06, + "loss": 0.7109, + "step": 641 + }, + { + "epoch": 1.0272, + "grad_norm": 1.2836363520186467, + "learning_rate": 8.316953370763788e-06, + "loss": 0.6157, + "step": 642 + }, + { + "epoch": 1.0288, + "grad_norm": 1.212075548477766, + "learning_rate": 8.309980315513444e-06, + "loss": 0.7195, + "step": 643 + }, + { + "epoch": 1.0304, + "grad_norm": 1.296158826719871, + "learning_rate": 8.302995781506007e-06, + "loss": 0.8782, + "step": 644 + }, + { + "epoch": 1.032, + "grad_norm": 1.3946277865913659, + "learning_rate": 8.295999792963301e-06, + "loss": 0.7184, + "step": 645 + }, + { + "epoch": 1.0336, + "grad_norm": 1.3476564727612108, + "learning_rate": 8.288992374146878e-06, + "loss": 0.7435, + "step": 646 + }, + { + "epoch": 1.0352, + "grad_norm": 1.1865884893820302, + "learning_rate": 8.281973549357927e-06, + "loss": 0.8636, + "step": 647 + }, + { + "epoch": 1.0368, + "grad_norm": 1.1765589278115693, + "learning_rate": 8.274943342937191e-06, + "loss": 0.7396, + "step": 648 + }, + { + "epoch": 1.0384, + "grad_norm": 1.357579571656876, + "learning_rate": 8.267901779264889e-06, + "loss": 0.7293, + "step": 649 + }, + { + "epoch": 1.04, + "grad_norm": 1.4953418956329396, + "learning_rate": 8.260848882760616e-06, + "loss": 0.6515, + "step": 650 + }, + { + "epoch": 1.0416, + "grad_norm": 1.5065010131627834, + "learning_rate": 8.25378467788328e-06, + "loss": 0.9057, + "step": 651 + }, + { + "epoch": 1.0432, + "grad_norm": 1.4711358677236037, + "learning_rate": 8.246709189130997e-06, + "loss": 0.8104, + "step": 652 + }, + { + "epoch": 1.0448, + "grad_norm": 1.3347843545728548, + "learning_rate": 8.23962244104102e-06, + "loss": 0.7632, + "step": 653 + }, + { + "epoch": 1.0464, + "grad_norm": 1.2292072183462304, + "learning_rate": 8.232524458189644e-06, + "loss": 0.5603, + "step": 654 + }, + { + "epoch": 1.048, + "grad_norm": 1.3907296050078812, + "learning_rate": 8.225415265192126e-06, + "loss": 0.6614, + "step": 655 + }, + { + "epoch": 1.0496, + "grad_norm": 1.4134509254802445, + "learning_rate": 8.218294886702606e-06, + "loss": 0.8461, + "step": 656 + }, + { + "epoch": 1.0512, + "grad_norm": 1.32815182293549, + "learning_rate": 8.211163347414005e-06, + "loss": 0.8152, + "step": 657 + }, + { + "epoch": 1.0528, + "grad_norm": 1.4486387482863485, + "learning_rate": 8.20402067205795e-06, + "loss": 0.7479, + "step": 658 + }, + { + "epoch": 1.0544, + "grad_norm": 1.265158500971521, + "learning_rate": 8.196866885404697e-06, + "loss": 0.7542, + "step": 659 + }, + { + "epoch": 1.056, + "grad_norm": 1.3576648903080404, + "learning_rate": 8.18970201226302e-06, + "loss": 0.7166, + "step": 660 + }, + { + "epoch": 1.0576, + "grad_norm": 1.2946051626304147, + "learning_rate": 8.182526077480153e-06, + "loss": 0.8637, + "step": 661 + }, + { + "epoch": 1.0592, + "grad_norm": 1.573692891594583, + "learning_rate": 8.175339105941685e-06, + "loss": 0.5697, + "step": 662 + }, + { + "epoch": 1.0608, + "grad_norm": 1.3215955057696236, + "learning_rate": 8.168141122571478e-06, + "loss": 0.6819, + "step": 663 + }, + { + "epoch": 1.0624, + "grad_norm": 1.3495940845714642, + "learning_rate": 8.160932152331587e-06, + "loss": 0.7929, + "step": 664 + }, + { + "epoch": 1.064, + "grad_norm": 1.2627390934138414, + "learning_rate": 8.153712220222163e-06, + "loss": 0.6596, + "step": 665 + }, + { + "epoch": 1.0656, + "grad_norm": 1.26329980422197, + "learning_rate": 8.14648135128138e-06, + "loss": 0.6535, + "step": 666 + }, + { + "epoch": 1.0672, + "grad_norm": 1.3103595918564983, + "learning_rate": 8.139239570585334e-06, + "loss": 0.6974, + "step": 667 + }, + { + "epoch": 1.0688, + "grad_norm": 1.2586847844323472, + "learning_rate": 8.131986903247959e-06, + "loss": 0.8504, + "step": 668 + }, + { + "epoch": 1.0704, + "grad_norm": 1.378025163477823, + "learning_rate": 8.124723374420951e-06, + "loss": 0.836, + "step": 669 + }, + { + "epoch": 1.072, + "grad_norm": 1.2662107832079368, + "learning_rate": 8.117449009293668e-06, + "loss": 0.6784, + "step": 670 + }, + { + "epoch": 1.0735999999999999, + "grad_norm": 1.3512614263199396, + "learning_rate": 8.11016383309305e-06, + "loss": 0.686, + "step": 671 + }, + { + "epoch": 1.0752, + "grad_norm": 1.3858901555841285, + "learning_rate": 8.102867871083528e-06, + "loss": 0.8097, + "step": 672 + }, + { + "epoch": 1.0768, + "grad_norm": 1.2451277430024372, + "learning_rate": 8.095561148566932e-06, + "loss": 0.8129, + "step": 673 + }, + { + "epoch": 1.0784, + "grad_norm": 1.4480321809627075, + "learning_rate": 8.088243690882421e-06, + "loss": 0.6415, + "step": 674 + }, + { + "epoch": 1.08, + "grad_norm": 1.2906922302421495, + "learning_rate": 8.080915523406371e-06, + "loss": 0.7802, + "step": 675 + }, + { + "epoch": 1.0816, + "grad_norm": 1.2213875218649095, + "learning_rate": 8.073576671552303e-06, + "loss": 0.7211, + "step": 676 + }, + { + "epoch": 1.0832, + "grad_norm": 1.4313837644100027, + "learning_rate": 8.06622716077079e-06, + "loss": 0.6886, + "step": 677 + }, + { + "epoch": 1.0848, + "grad_norm": 1.1561446153650237, + "learning_rate": 8.058867016549372e-06, + "loss": 0.6541, + "step": 678 + }, + { + "epoch": 1.0864, + "grad_norm": 1.2373583788458533, + "learning_rate": 8.051496264412464e-06, + "loss": 0.7421, + "step": 679 + }, + { + "epoch": 1.088, + "grad_norm": 1.3603153447773453, + "learning_rate": 8.044114929921264e-06, + "loss": 0.8531, + "step": 680 + }, + { + "epoch": 1.0896, + "grad_norm": 1.6058597890230129, + "learning_rate": 8.036723038673675e-06, + "loss": 0.8283, + "step": 681 + }, + { + "epoch": 1.0912, + "grad_norm": 1.247180934371467, + "learning_rate": 8.029320616304204e-06, + "loss": 0.7982, + "step": 682 + }, + { + "epoch": 1.0928, + "grad_norm": 1.472773560725052, + "learning_rate": 8.021907688483885e-06, + "loss": 0.7267, + "step": 683 + }, + { + "epoch": 1.0944, + "grad_norm": 1.4939804407968524, + "learning_rate": 8.01448428092018e-06, + "loss": 0.6559, + "step": 684 + }, + { + "epoch": 1.096, + "grad_norm": 1.1731369665351246, + "learning_rate": 8.007050419356898e-06, + "loss": 0.7354, + "step": 685 + }, + { + "epoch": 1.0976, + "grad_norm": 1.2456127972073165, + "learning_rate": 7.999606129574096e-06, + "loss": 0.7986, + "step": 686 + }, + { + "epoch": 1.0992, + "grad_norm": 1.2078276419353555, + "learning_rate": 7.992151437387999e-06, + "loss": 0.7435, + "step": 687 + }, + { + "epoch": 1.1008, + "grad_norm": 1.1646996440572461, + "learning_rate": 7.984686368650907e-06, + "loss": 0.5385, + "step": 688 + }, + { + "epoch": 1.1024, + "grad_norm": 1.2578890318118718, + "learning_rate": 7.977210949251102e-06, + "loss": 0.6397, + "step": 689 + }, + { + "epoch": 1.104, + "grad_norm": 1.268239674773961, + "learning_rate": 7.969725205112766e-06, + "loss": 0.6496, + "step": 690 + }, + { + "epoch": 1.1056, + "grad_norm": 1.2309838453108177, + "learning_rate": 7.962229162195882e-06, + "loss": 0.7191, + "step": 691 + }, + { + "epoch": 1.1072, + "grad_norm": 1.381815481108343, + "learning_rate": 7.95472284649615e-06, + "loss": 0.9031, + "step": 692 + }, + { + "epoch": 1.1088, + "grad_norm": 1.1874896159284005, + "learning_rate": 7.947206284044896e-06, + "loss": 0.5007, + "step": 693 + }, + { + "epoch": 1.1104, + "grad_norm": 1.376743327977063, + "learning_rate": 7.939679500908982e-06, + "loss": 0.8523, + "step": 694 + }, + { + "epoch": 1.112, + "grad_norm": 1.3310161589886995, + "learning_rate": 7.932142523190711e-06, + "loss": 0.7465, + "step": 695 + }, + { + "epoch": 1.1136, + "grad_norm": 1.292131620690502, + "learning_rate": 7.924595377027741e-06, + "loss": 0.7991, + "step": 696 + }, + { + "epoch": 1.1152, + "grad_norm": 1.1893212488642204, + "learning_rate": 7.917038088592997e-06, + "loss": 0.7561, + "step": 697 + }, + { + "epoch": 1.1168, + "grad_norm": 1.2487283208322288, + "learning_rate": 7.90947068409457e-06, + "loss": 0.6213, + "step": 698 + }, + { + "epoch": 1.1184, + "grad_norm": 1.1155105238521892, + "learning_rate": 7.90189318977564e-06, + "loss": 0.6535, + "step": 699 + }, + { + "epoch": 1.12, + "grad_norm": 1.2102414165698925, + "learning_rate": 7.894305631914373e-06, + "loss": 0.6265, + "step": 700 + }, + { + "epoch": 1.1216, + "grad_norm": 1.2753606634231442, + "learning_rate": 7.886708036823838e-06, + "loss": 0.8215, + "step": 701 + }, + { + "epoch": 1.1232, + "grad_norm": 1.203151093365828, + "learning_rate": 7.879100430851907e-06, + "loss": 0.5359, + "step": 702 + }, + { + "epoch": 1.1248, + "grad_norm": 1.2249878107111256, + "learning_rate": 7.871482840381174e-06, + "loss": 0.7969, + "step": 703 + }, + { + "epoch": 1.1264, + "grad_norm": 1.351634334885911, + "learning_rate": 7.863855291828857e-06, + "loss": 0.8814, + "step": 704 + }, + { + "epoch": 1.1280000000000001, + "grad_norm": 1.244554399045127, + "learning_rate": 7.856217811646707e-06, + "loss": 0.8609, + "step": 705 + }, + { + "epoch": 1.1296, + "grad_norm": 1.2544685995658411, + "learning_rate": 7.848570426320918e-06, + "loss": 0.6342, + "step": 706 + }, + { + "epoch": 1.1312, + "grad_norm": 1.271734960445676, + "learning_rate": 7.840913162372032e-06, + "loss": 0.6004, + "step": 707 + }, + { + "epoch": 1.1328, + "grad_norm": 1.2782013050756662, + "learning_rate": 7.833246046354856e-06, + "loss": 0.9004, + "step": 708 + }, + { + "epoch": 1.1344, + "grad_norm": 1.1678713343875637, + "learning_rate": 7.825569104858353e-06, + "loss": 0.3863, + "step": 709 + }, + { + "epoch": 1.1360000000000001, + "grad_norm": 1.1657228744704804, + "learning_rate": 7.81788236450557e-06, + "loss": 0.6311, + "step": 710 + }, + { + "epoch": 1.1376, + "grad_norm": 1.7329485500647337, + "learning_rate": 7.810185851953529e-06, + "loss": 0.6922, + "step": 711 + }, + { + "epoch": 1.1392, + "grad_norm": 1.4777413029123616, + "learning_rate": 7.802479593893142e-06, + "loss": 0.744, + "step": 712 + }, + { + "epoch": 1.1408, + "grad_norm": 1.1873162877543122, + "learning_rate": 7.794763617049124e-06, + "loss": 0.718, + "step": 713 + }, + { + "epoch": 1.1424, + "grad_norm": 1.4600035891890293, + "learning_rate": 7.787037948179884e-06, + "loss": 1.009, + "step": 714 + }, + { + "epoch": 1.144, + "grad_norm": 1.347580042102973, + "learning_rate": 7.779302614077449e-06, + "loss": 0.8002, + "step": 715 + }, + { + "epoch": 1.1456, + "grad_norm": 1.2799418366804134, + "learning_rate": 7.771557641567363e-06, + "loss": 0.4749, + "step": 716 + }, + { + "epoch": 1.1472, + "grad_norm": 1.352482313570435, + "learning_rate": 7.763803057508594e-06, + "loss": 0.6942, + "step": 717 + }, + { + "epoch": 1.1488, + "grad_norm": 1.2484848706235903, + "learning_rate": 7.756038888793446e-06, + "loss": 0.5569, + "step": 718 + }, + { + "epoch": 1.1504, + "grad_norm": 1.1503542720076902, + "learning_rate": 7.748265162347455e-06, + "loss": 0.6619, + "step": 719 + }, + { + "epoch": 1.152, + "grad_norm": 1.2226637125329667, + "learning_rate": 7.740481905129307e-06, + "loss": 0.7461, + "step": 720 + }, + { + "epoch": 1.1536, + "grad_norm": 1.22034340764546, + "learning_rate": 7.732689144130741e-06, + "loss": 0.7821, + "step": 721 + }, + { + "epoch": 1.1552, + "grad_norm": 1.329003052555343, + "learning_rate": 7.724886906376451e-06, + "loss": 0.7239, + "step": 722 + }, + { + "epoch": 1.1568, + "grad_norm": 1.589137450367587, + "learning_rate": 7.717075218923998e-06, + "loss": 0.5245, + "step": 723 + }, + { + "epoch": 1.1584, + "grad_norm": 1.3566791219293877, + "learning_rate": 7.709254108863714e-06, + "loss": 0.6752, + "step": 724 + }, + { + "epoch": 1.16, + "grad_norm": 1.2473161414110405, + "learning_rate": 7.701423603318605e-06, + "loss": 0.8026, + "step": 725 + }, + { + "epoch": 1.1616, + "grad_norm": 1.1428087665441862, + "learning_rate": 7.693583729444263e-06, + "loss": 0.6737, + "step": 726 + }, + { + "epoch": 1.1632, + "grad_norm": 1.2372789049890767, + "learning_rate": 7.685734514428767e-06, + "loss": 0.6457, + "step": 727 + }, + { + "epoch": 1.1648, + "grad_norm": 1.328551206345503, + "learning_rate": 7.677875985492591e-06, + "loss": 0.6787, + "step": 728 + }, + { + "epoch": 1.1663999999999999, + "grad_norm": 1.5073386185687028, + "learning_rate": 7.67000816988851e-06, + "loss": 0.6835, + "step": 729 + }, + { + "epoch": 1.168, + "grad_norm": 1.320843576213995, + "learning_rate": 7.662131094901499e-06, + "loss": 0.7719, + "step": 730 + }, + { + "epoch": 1.1696, + "grad_norm": 1.225046816423029, + "learning_rate": 7.654244787848655e-06, + "loss": 0.7197, + "step": 731 + }, + { + "epoch": 1.1712, + "grad_norm": 1.2632129731715367, + "learning_rate": 7.646349276079079e-06, + "loss": 0.9252, + "step": 732 + }, + { + "epoch": 1.1728, + "grad_norm": 1.4646142783684537, + "learning_rate": 7.6384445869738e-06, + "loss": 0.8141, + "step": 733 + }, + { + "epoch": 1.1743999999999999, + "grad_norm": 1.229534753769994, + "learning_rate": 7.630530747945672e-06, + "loss": 0.5457, + "step": 734 + }, + { + "epoch": 1.176, + "grad_norm": 1.1348283055607522, + "learning_rate": 7.622607786439279e-06, + "loss": 0.7019, + "step": 735 + }, + { + "epoch": 1.1776, + "grad_norm": 1.2448770104563307, + "learning_rate": 7.6146757299308406e-06, + "loss": 0.7208, + "step": 736 + }, + { + "epoch": 1.1792, + "grad_norm": 1.2430201979909319, + "learning_rate": 7.606734605928123e-06, + "loss": 0.5881, + "step": 737 + }, + { + "epoch": 1.1808, + "grad_norm": 1.2655569120365449, + "learning_rate": 7.598784441970329e-06, + "loss": 0.8044, + "step": 738 + }, + { + "epoch": 1.1824, + "grad_norm": 1.4317731854413938, + "learning_rate": 7.590825265628019e-06, + "loss": 0.8539, + "step": 739 + }, + { + "epoch": 1.184, + "grad_norm": 1.176809986288581, + "learning_rate": 7.5828571045030005e-06, + "loss": 0.5923, + "step": 740 + }, + { + "epoch": 1.1856, + "grad_norm": 1.2896127987919543, + "learning_rate": 7.574879986228245e-06, + "loss": 0.8061, + "step": 741 + }, + { + "epoch": 1.1872, + "grad_norm": 1.206763374176362, + "learning_rate": 7.566893938467788e-06, + "loss": 0.7588, + "step": 742 + }, + { + "epoch": 1.1888, + "grad_norm": 1.2785428981842697, + "learning_rate": 7.558898988916624e-06, + "loss": 0.689, + "step": 743 + }, + { + "epoch": 1.1904, + "grad_norm": 1.4342390497373152, + "learning_rate": 7.550895165300626e-06, + "loss": 0.6614, + "step": 744 + }, + { + "epoch": 1.192, + "grad_norm": 1.1723859512659018, + "learning_rate": 7.542882495376437e-06, + "loss": 0.5469, + "step": 745 + }, + { + "epoch": 1.1936, + "grad_norm": 1.3320005553893965, + "learning_rate": 7.5348610069313795e-06, + "loss": 0.8307, + "step": 746 + }, + { + "epoch": 1.1952, + "grad_norm": 1.247273520426172, + "learning_rate": 7.5268307277833605e-06, + "loss": 0.7256, + "step": 747 + }, + { + "epoch": 1.1968, + "grad_norm": 1.11016388309839, + "learning_rate": 7.518791685780769e-06, + "loss": 0.7602, + "step": 748 + }, + { + "epoch": 1.1984, + "grad_norm": 1.0972185339747849, + "learning_rate": 7.5107439088023845e-06, + "loss": 0.5134, + "step": 749 + }, + { + "epoch": 1.2, + "grad_norm": 1.3147335196146237, + "learning_rate": 7.502687424757278e-06, + "loss": 0.7687, + "step": 750 + }, + { + "epoch": 1.2016, + "grad_norm": 1.1492368036729201, + "learning_rate": 7.4946222615847165e-06, + "loss": 0.7188, + "step": 751 + }, + { + "epoch": 1.2032, + "grad_norm": 1.1693322412172868, + "learning_rate": 7.486548447254065e-06, + "loss": 0.5955, + "step": 752 + }, + { + "epoch": 1.2048, + "grad_norm": 1.1961032842260078, + "learning_rate": 7.478466009764692e-06, + "loss": 0.7217, + "step": 753 + }, + { + "epoch": 1.2064, + "grad_norm": 1.2762156445465176, + "learning_rate": 7.470374977145867e-06, + "loss": 0.7836, + "step": 754 + }, + { + "epoch": 1.208, + "grad_norm": 1.3973661580241465, + "learning_rate": 7.462275377456671e-06, + "loss": 0.6788, + "step": 755 + }, + { + "epoch": 1.2096, + "grad_norm": 1.2466155836988653, + "learning_rate": 7.4541672387858895e-06, + "loss": 0.5918, + "step": 756 + }, + { + "epoch": 1.2112, + "grad_norm": 1.2044569151566613, + "learning_rate": 7.446050589251928e-06, + "loss": 0.5956, + "step": 757 + }, + { + "epoch": 1.2128, + "grad_norm": 1.2447785625389778, + "learning_rate": 7.437925457002697e-06, + "loss": 0.7532, + "step": 758 + }, + { + "epoch": 1.2144, + "grad_norm": 1.264369711709651, + "learning_rate": 7.429791870215535e-06, + "loss": 0.4948, + "step": 759 + }, + { + "epoch": 1.216, + "grad_norm": 1.7189292367398459, + "learning_rate": 7.421649857097092e-06, + "loss": 0.7372, + "step": 760 + }, + { + "epoch": 1.2176, + "grad_norm": 1.3134136796882032, + "learning_rate": 7.413499445883245e-06, + "loss": 0.7271, + "step": 761 + }, + { + "epoch": 1.2192, + "grad_norm": 1.2505174381107635, + "learning_rate": 7.405340664838994e-06, + "loss": 0.7695, + "step": 762 + }, + { + "epoch": 1.2208, + "grad_norm": 1.2813480088181017, + "learning_rate": 7.39717354225836e-06, + "loss": 0.8047, + "step": 763 + }, + { + "epoch": 1.2224, + "grad_norm": 1.1452393712205249, + "learning_rate": 7.3889981064643e-06, + "loss": 0.4978, + "step": 764 + }, + { + "epoch": 1.224, + "grad_norm": 1.122607048884173, + "learning_rate": 7.380814385808594e-06, + "loss": 0.7725, + "step": 765 + }, + { + "epoch": 1.2256, + "grad_norm": 1.3107870462346884, + "learning_rate": 7.372622408671757e-06, + "loss": 0.6325, + "step": 766 + }, + { + "epoch": 1.2272, + "grad_norm": 1.2078186641214865, + "learning_rate": 7.364422203462935e-06, + "loss": 0.6594, + "step": 767 + }, + { + "epoch": 1.2288000000000001, + "grad_norm": 1.2684481861422428, + "learning_rate": 7.3562137986198065e-06, + "loss": 0.6647, + "step": 768 + }, + { + "epoch": 1.2304, + "grad_norm": 1.444134712296142, + "learning_rate": 7.3479972226084925e-06, + "loss": 0.8116, + "step": 769 + }, + { + "epoch": 1.232, + "grad_norm": 1.3382684150436859, + "learning_rate": 7.339772503923445e-06, + "loss": 0.7905, + "step": 770 + }, + { + "epoch": 1.2336, + "grad_norm": 1.3744930430597597, + "learning_rate": 7.331539671087353e-06, + "loss": 0.5605, + "step": 771 + }, + { + "epoch": 1.2352, + "grad_norm": 1.2083922721443898, + "learning_rate": 7.32329875265105e-06, + "loss": 0.7185, + "step": 772 + }, + { + "epoch": 1.2368000000000001, + "grad_norm": 1.2008383142966526, + "learning_rate": 7.315049777193407e-06, + "loss": 0.7424, + "step": 773 + }, + { + "epoch": 1.2384, + "grad_norm": 1.1311883540219492, + "learning_rate": 7.306792773321234e-06, + "loss": 0.4657, + "step": 774 + }, + { + "epoch": 1.24, + "grad_norm": 1.1365107327962582, + "learning_rate": 7.298527769669188e-06, + "loss": 0.3332, + "step": 775 + }, + { + "epoch": 1.2416, + "grad_norm": 1.4315692593660396, + "learning_rate": 7.290254794899665e-06, + "loss": 0.7684, + "step": 776 + }, + { + "epoch": 1.2432, + "grad_norm": 1.1941790832183428, + "learning_rate": 7.281973877702705e-06, + "loss": 0.5097, + "step": 777 + }, + { + "epoch": 1.2448, + "grad_norm": 1.133046833901464, + "learning_rate": 7.2736850467958905e-06, + "loss": 0.6394, + "step": 778 + }, + { + "epoch": 1.2464, + "grad_norm": 1.313592874870108, + "learning_rate": 7.26538833092425e-06, + "loss": 0.5794, + "step": 779 + }, + { + "epoch": 1.248, + "grad_norm": 1.2334977808904701, + "learning_rate": 7.257083758860159e-06, + "loss": 0.6137, + "step": 780 + }, + { + "epoch": 1.2496, + "grad_norm": 1.3059080466065442, + "learning_rate": 7.248771359403231e-06, + "loss": 0.7514, + "step": 781 + }, + { + "epoch": 1.2511999999999999, + "grad_norm": 1.2165203722285671, + "learning_rate": 7.240451161380226e-06, + "loss": 0.7221, + "step": 782 + }, + { + "epoch": 1.2528000000000001, + "grad_norm": 1.258527706263471, + "learning_rate": 7.232123193644957e-06, + "loss": 0.6155, + "step": 783 + }, + { + "epoch": 1.2544, + "grad_norm": 1.2450032302819374, + "learning_rate": 7.22378748507817e-06, + "loss": 0.7768, + "step": 784 + }, + { + "epoch": 1.256, + "grad_norm": 1.3913480982521946, + "learning_rate": 7.215444064587462e-06, + "loss": 0.843, + "step": 785 + }, + { + "epoch": 1.2576, + "grad_norm": 1.1986392015647929, + "learning_rate": 7.207092961107176e-06, + "loss": 0.6213, + "step": 786 + }, + { + "epoch": 1.2591999999999999, + "grad_norm": 1.127053361773705, + "learning_rate": 7.198734203598294e-06, + "loss": 0.6848, + "step": 787 + }, + { + "epoch": 1.2608, + "grad_norm": 1.2984824292809738, + "learning_rate": 7.190367821048346e-06, + "loss": 0.5966, + "step": 788 + }, + { + "epoch": 1.2624, + "grad_norm": 1.3301178475419186, + "learning_rate": 7.181993842471301e-06, + "loss": 0.6409, + "step": 789 + }, + { + "epoch": 1.264, + "grad_norm": 1.172097618757308, + "learning_rate": 7.173612296907473e-06, + "loss": 0.7531, + "step": 790 + }, + { + "epoch": 1.2656, + "grad_norm": 1.4614391378945681, + "learning_rate": 7.165223213423416e-06, + "loss": 0.594, + "step": 791 + }, + { + "epoch": 1.2671999999999999, + "grad_norm": 1.1122324457618662, + "learning_rate": 7.15682662111183e-06, + "loss": 0.5081, + "step": 792 + }, + { + "epoch": 1.2688, + "grad_norm": 1.464237332219084, + "learning_rate": 7.148422549091447e-06, + "loss": 0.9004, + "step": 793 + }, + { + "epoch": 1.2704, + "grad_norm": 1.3152098782323687, + "learning_rate": 7.140011026506945e-06, + "loss": 0.7216, + "step": 794 + }, + { + "epoch": 1.272, + "grad_norm": 1.2202336437212022, + "learning_rate": 7.131592082528837e-06, + "loss": 0.6333, + "step": 795 + }, + { + "epoch": 1.2736, + "grad_norm": 1.444016159221979, + "learning_rate": 7.12316574635337e-06, + "loss": 0.6515, + "step": 796 + }, + { + "epoch": 1.2752, + "grad_norm": 1.360261649062722, + "learning_rate": 7.114732047202433e-06, + "loss": 0.7208, + "step": 797 + }, + { + "epoch": 1.2768, + "grad_norm": 1.2702057716599038, + "learning_rate": 7.106291014323445e-06, + "loss": 0.5431, + "step": 798 + }, + { + "epoch": 1.2784, + "grad_norm": 1.3703683579905175, + "learning_rate": 7.0978426769892585e-06, + "loss": 0.7329, + "step": 799 + }, + { + "epoch": 1.28, + "grad_norm": 1.2773188981175638, + "learning_rate": 7.089387064498057e-06, + "loss": 0.538, + "step": 800 + }, + { + "epoch": 1.2816, + "grad_norm": 1.2552660700161773, + "learning_rate": 7.080924206173253e-06, + "loss": 0.7355, + "step": 801 + }, + { + "epoch": 1.2832, + "grad_norm": 1.150631246649232, + "learning_rate": 7.072454131363391e-06, + "loss": 0.4949, + "step": 802 + }, + { + "epoch": 1.2848, + "grad_norm": 1.194319124754565, + "learning_rate": 7.063976869442037e-06, + "loss": 0.6453, + "step": 803 + }, + { + "epoch": 1.2864, + "grad_norm": 1.3559566272229402, + "learning_rate": 7.055492449807684e-06, + "loss": 0.8146, + "step": 804 + }, + { + "epoch": 1.288, + "grad_norm": 1.3468025367859855, + "learning_rate": 7.047000901883646e-06, + "loss": 0.6787, + "step": 805 + }, + { + "epoch": 1.2896, + "grad_norm": 1.3136223209434104, + "learning_rate": 7.038502255117957e-06, + "loss": 0.6526, + "step": 806 + }, + { + "epoch": 1.2912, + "grad_norm": 1.1211789840758364, + "learning_rate": 7.029996538983273e-06, + "loss": 0.4298, + "step": 807 + }, + { + "epoch": 1.2928, + "grad_norm": 1.182543079647206, + "learning_rate": 7.021483782976759e-06, + "loss": 0.7771, + "step": 808 + }, + { + "epoch": 1.2944, + "grad_norm": 1.348464758071526, + "learning_rate": 7.012964016620002e-06, + "loss": 0.6979, + "step": 809 + }, + { + "epoch": 1.296, + "grad_norm": 1.108665641723972, + "learning_rate": 7.004437269458894e-06, + "loss": 0.6426, + "step": 810 + }, + { + "epoch": 1.2976, + "grad_norm": 1.1958892845824423, + "learning_rate": 6.995903571063541e-06, + "loss": 0.763, + "step": 811 + }, + { + "epoch": 1.2992, + "grad_norm": 1.2447353087960016, + "learning_rate": 6.987362951028147e-06, + "loss": 0.6571, + "step": 812 + }, + { + "epoch": 1.3008, + "grad_norm": 1.1826537716209429, + "learning_rate": 6.97881543897093e-06, + "loss": 0.6902, + "step": 813 + }, + { + "epoch": 1.3024, + "grad_norm": 1.176845509701663, + "learning_rate": 6.970261064534003e-06, + "loss": 0.6404, + "step": 814 + }, + { + "epoch": 1.304, + "grad_norm": 1.4108855214669127, + "learning_rate": 6.961699857383279e-06, + "loss": 0.6306, + "step": 815 + }, + { + "epoch": 1.3056, + "grad_norm": 46.53388245980635, + "learning_rate": 6.953131847208365e-06, + "loss": 1.0821, + "step": 816 + }, + { + "epoch": 1.3072, + "grad_norm": 1.2241873899022233, + "learning_rate": 6.944557063722459e-06, + "loss": 0.6337, + "step": 817 + }, + { + "epoch": 1.3088, + "grad_norm": 1.2946430111599534, + "learning_rate": 6.935975536662254e-06, + "loss": 0.6463, + "step": 818 + }, + { + "epoch": 1.3104, + "grad_norm": 1.2287500390738022, + "learning_rate": 6.9273872957878255e-06, + "loss": 0.752, + "step": 819 + }, + { + "epoch": 1.312, + "grad_norm": 1.2257093956134881, + "learning_rate": 6.91879237088253e-06, + "loss": 0.7208, + "step": 820 + }, + { + "epoch": 1.3136, + "grad_norm": 1.304474490472767, + "learning_rate": 6.910190791752907e-06, + "loss": 0.55, + "step": 821 + }, + { + "epoch": 1.3152, + "grad_norm": 1.3529370515603025, + "learning_rate": 6.90158258822857e-06, + "loss": 0.5866, + "step": 822 + }, + { + "epoch": 1.3168, + "grad_norm": 1.1884484048174446, + "learning_rate": 6.892967790162109e-06, + "loss": 0.6201, + "step": 823 + }, + { + "epoch": 1.3184, + "grad_norm": 1.195995518863932, + "learning_rate": 6.884346427428978e-06, + "loss": 0.6539, + "step": 824 + }, + { + "epoch": 1.32, + "grad_norm": 1.2908307744963217, + "learning_rate": 6.875718529927404e-06, + "loss": 0.6484, + "step": 825 + }, + { + "epoch": 1.3216, + "grad_norm": 1.2778832161250204, + "learning_rate": 6.867084127578267e-06, + "loss": 0.7368, + "step": 826 + }, + { + "epoch": 1.3232, + "grad_norm": 1.543008002660216, + "learning_rate": 6.858443250325013e-06, + "loss": 0.7004, + "step": 827 + }, + { + "epoch": 1.3248, + "grad_norm": 1.4165464938469805, + "learning_rate": 6.849795928133538e-06, + "loss": 0.6776, + "step": 828 + }, + { + "epoch": 1.3264, + "grad_norm": 1.394124666753603, + "learning_rate": 6.841142190992092e-06, + "loss": 0.8477, + "step": 829 + }, + { + "epoch": 1.328, + "grad_norm": 1.1525270325247092, + "learning_rate": 6.832482068911167e-06, + "loss": 0.7357, + "step": 830 + }, + { + "epoch": 1.3296000000000001, + "grad_norm": 1.2516901993527954, + "learning_rate": 6.823815591923402e-06, + "loss": 0.7739, + "step": 831 + }, + { + "epoch": 1.3312, + "grad_norm": 1.3283591364444092, + "learning_rate": 6.815142790083473e-06, + "loss": 0.8599, + "step": 832 + }, + { + "epoch": 1.3328, + "grad_norm": 1.2150118416533005, + "learning_rate": 6.8064636934679885e-06, + "loss": 0.7176, + "step": 833 + }, + { + "epoch": 1.3344, + "grad_norm": 1.2949412968489789, + "learning_rate": 6.797778332175387e-06, + "loss": 0.8335, + "step": 834 + }, + { + "epoch": 1.336, + "grad_norm": 1.2494961953813604, + "learning_rate": 6.789086736325834e-06, + "loss": 0.773, + "step": 835 + }, + { + "epoch": 1.3376000000000001, + "grad_norm": 1.197920461480709, + "learning_rate": 6.780388936061118e-06, + "loss": 0.845, + "step": 836 + }, + { + "epoch": 1.3392, + "grad_norm": 1.139479512470914, + "learning_rate": 6.771684961544537e-06, + "loss": 0.6957, + "step": 837 + }, + { + "epoch": 1.3408, + "grad_norm": 1.3339424134768902, + "learning_rate": 6.7629748429608076e-06, + "loss": 0.6768, + "step": 838 + }, + { + "epoch": 1.3424, + "grad_norm": 1.307659853669155, + "learning_rate": 6.754258610515949e-06, + "loss": 0.5684, + "step": 839 + }, + { + "epoch": 1.3439999999999999, + "grad_norm": 1.1961789114690817, + "learning_rate": 6.745536294437187e-06, + "loss": 0.7008, + "step": 840 + }, + { + "epoch": 1.3456000000000001, + "grad_norm": 1.1414621537606762, + "learning_rate": 6.736807924972841e-06, + "loss": 0.5492, + "step": 841 + }, + { + "epoch": 1.3472, + "grad_norm": 1.5457772776647454, + "learning_rate": 6.728073532392226e-06, + "loss": 0.7861, + "step": 842 + }, + { + "epoch": 1.3488, + "grad_norm": 1.260048162313854, + "learning_rate": 6.719333146985544e-06, + "loss": 0.6048, + "step": 843 + }, + { + "epoch": 1.3504, + "grad_norm": 1.3364964445698275, + "learning_rate": 6.710586799063777e-06, + "loss": 0.6599, + "step": 844 + }, + { + "epoch": 1.3519999999999999, + "grad_norm": 1.3454762763160635, + "learning_rate": 6.701834518958587e-06, + "loss": 0.7436, + "step": 845 + }, + { + "epoch": 1.3536000000000001, + "grad_norm": 1.2179239727757822, + "learning_rate": 6.6930763370222104e-06, + "loss": 0.6541, + "step": 846 + }, + { + "epoch": 1.3552, + "grad_norm": 1.1354658890083928, + "learning_rate": 6.684312283627348e-06, + "loss": 0.6203, + "step": 847 + }, + { + "epoch": 1.3568, + "grad_norm": 1.1967920518153194, + "learning_rate": 6.6755423891670605e-06, + "loss": 0.5918, + "step": 848 + }, + { + "epoch": 1.3584, + "grad_norm": 1.2733449968738881, + "learning_rate": 6.6667666840546685e-06, + "loss": 0.5086, + "step": 849 + }, + { + "epoch": 1.3599999999999999, + "grad_norm": 1.4476643016500503, + "learning_rate": 6.6579851987236435e-06, + "loss": 0.6687, + "step": 850 + }, + { + "epoch": 1.3616, + "grad_norm": 1.2133480658920532, + "learning_rate": 6.649197963627497e-06, + "loss": 0.6046, + "step": 851 + }, + { + "epoch": 1.3632, + "grad_norm": 1.224297480012605, + "learning_rate": 6.640405009239689e-06, + "loss": 0.6808, + "step": 852 + }, + { + "epoch": 1.3648, + "grad_norm": 1.046130541707376, + "learning_rate": 6.631606366053507e-06, + "loss": 0.4575, + "step": 853 + }, + { + "epoch": 1.3664, + "grad_norm": 1.171624614542443, + "learning_rate": 6.622802064581968e-06, + "loss": 0.6308, + "step": 854 + }, + { + "epoch": 1.3679999999999999, + "grad_norm": 1.3161781017870495, + "learning_rate": 6.613992135357713e-06, + "loss": 0.7714, + "step": 855 + }, + { + "epoch": 1.3696, + "grad_norm": 1.2110517802001237, + "learning_rate": 6.605176608932897e-06, + "loss": 0.6019, + "step": 856 + }, + { + "epoch": 1.3712, + "grad_norm": 1.2708060527866796, + "learning_rate": 6.596355515879091e-06, + "loss": 0.5552, + "step": 857 + }, + { + "epoch": 1.3728, + "grad_norm": 1.1187684959272344, + "learning_rate": 6.587528886787165e-06, + "loss": 0.6212, + "step": 858 + }, + { + "epoch": 1.3744, + "grad_norm": 1.2742922238672474, + "learning_rate": 6.578696752267189e-06, + "loss": 0.5689, + "step": 859 + }, + { + "epoch": 1.376, + "grad_norm": 1.6963016413510086, + "learning_rate": 6.5698591429483286e-06, + "loss": 0.8115, + "step": 860 + }, + { + "epoch": 1.3776, + "grad_norm": 1.144929322088606, + "learning_rate": 6.5610160894787275e-06, + "loss": 0.5902, + "step": 861 + }, + { + "epoch": 1.3792, + "grad_norm": 1.1245879336213362, + "learning_rate": 6.552167622525421e-06, + "loss": 0.5814, + "step": 862 + }, + { + "epoch": 1.3808, + "grad_norm": 1.2701783221427057, + "learning_rate": 6.543313772774209e-06, + "loss": 0.6264, + "step": 863 + }, + { + "epoch": 1.3824, + "grad_norm": 1.248825009516559, + "learning_rate": 6.534454570929563e-06, + "loss": 0.6145, + "step": 864 + }, + { + "epoch": 1.384, + "grad_norm": 1.325121841890245, + "learning_rate": 6.52559004771451e-06, + "loss": 0.7679, + "step": 865 + }, + { + "epoch": 1.3856, + "grad_norm": 1.205049854520623, + "learning_rate": 6.516720233870538e-06, + "loss": 0.5697, + "step": 866 + }, + { + "epoch": 1.3872, + "grad_norm": 1.2234793144063485, + "learning_rate": 6.507845160157476e-06, + "loss": 0.684, + "step": 867 + }, + { + "epoch": 1.3888, + "grad_norm": 1.2793767090423127, + "learning_rate": 6.498964857353401e-06, + "loss": 0.6191, + "step": 868 + }, + { + "epoch": 1.3904, + "grad_norm": 1.2450510848653478, + "learning_rate": 6.4900793562545165e-06, + "loss": 0.7763, + "step": 869 + }, + { + "epoch": 1.392, + "grad_norm": 1.2300013854539367, + "learning_rate": 6.481188687675057e-06, + "loss": 0.5605, + "step": 870 + }, + { + "epoch": 1.3936, + "grad_norm": 1.0670244620385796, + "learning_rate": 6.47229288244718e-06, + "loss": 0.4697, + "step": 871 + }, + { + "epoch": 1.3952, + "grad_norm": 1.343794706775137, + "learning_rate": 6.46339197142085e-06, + "loss": 0.7798, + "step": 872 + }, + { + "epoch": 1.3968, + "grad_norm": 1.1756976713739082, + "learning_rate": 6.454485985463742e-06, + "loss": 0.7579, + "step": 873 + }, + { + "epoch": 1.3984, + "grad_norm": 1.3001663469437656, + "learning_rate": 6.445574955461134e-06, + "loss": 0.8896, + "step": 874 + }, + { + "epoch": 1.4, + "grad_norm": 1.3451160716452202, + "learning_rate": 6.436658912315789e-06, + "loss": 0.6161, + "step": 875 + }, + { + "epoch": 1.4016, + "grad_norm": 1.2456394893359914, + "learning_rate": 6.427737886947859e-06, + "loss": 0.6325, + "step": 876 + }, + { + "epoch": 1.4032, + "grad_norm": 1.3450311493157474, + "learning_rate": 6.418811910294776e-06, + "loss": 0.6892, + "step": 877 + }, + { + "epoch": 1.4048, + "grad_norm": 1.3464954533964244, + "learning_rate": 6.409881013311136e-06, + "loss": 0.8252, + "step": 878 + }, + { + "epoch": 1.4064, + "grad_norm": 1.1465914161129294, + "learning_rate": 6.400945226968607e-06, + "loss": 0.4747, + "step": 879 + }, + { + "epoch": 1.408, + "grad_norm": 1.264273911093962, + "learning_rate": 6.392004582255807e-06, + "loss": 0.6252, + "step": 880 + }, + { + "epoch": 1.4096, + "grad_norm": 1.213733242964069, + "learning_rate": 6.383059110178205e-06, + "loss": 0.6381, + "step": 881 + }, + { + "epoch": 1.4112, + "grad_norm": 1.1468755403270334, + "learning_rate": 6.374108841758006e-06, + "loss": 0.7355, + "step": 882 + }, + { + "epoch": 1.4128, + "grad_norm": 1.1709436184179878, + "learning_rate": 6.365153808034057e-06, + "loss": 0.7031, + "step": 883 + }, + { + "epoch": 1.4144, + "grad_norm": 1.4408150622860891, + "learning_rate": 6.356194040061725e-06, + "loss": 0.8491, + "step": 884 + }, + { + "epoch": 1.416, + "grad_norm": 1.0963033283520514, + "learning_rate": 6.3472295689127946e-06, + "loss": 0.5437, + "step": 885 + }, + { + "epoch": 1.4176, + "grad_norm": 1.21188504878786, + "learning_rate": 6.338260425675365e-06, + "loss": 0.6067, + "step": 886 + }, + { + "epoch": 1.4192, + "grad_norm": 1.1203230900896428, + "learning_rate": 6.329286641453729e-06, + "loss": 0.4556, + "step": 887 + }, + { + "epoch": 1.4208, + "grad_norm": 1.2464895366401267, + "learning_rate": 6.320308247368285e-06, + "loss": 0.6916, + "step": 888 + }, + { + "epoch": 1.4224, + "grad_norm": 1.2143239622749609, + "learning_rate": 6.311325274555413e-06, + "loss": 0.5412, + "step": 889 + }, + { + "epoch": 1.424, + "grad_norm": 1.2535682013524978, + "learning_rate": 6.302337754167369e-06, + "loss": 0.4931, + "step": 890 + }, + { + "epoch": 1.4256, + "grad_norm": 1.2770871865968727, + "learning_rate": 6.2933457173721855e-06, + "loss": 0.6988, + "step": 891 + }, + { + "epoch": 1.4272, + "grad_norm": 1.0857766820747359, + "learning_rate": 6.2843491953535515e-06, + "loss": 0.5482, + "step": 892 + }, + { + "epoch": 1.4288, + "grad_norm": 1.0647522118160035, + "learning_rate": 6.275348219310715e-06, + "loss": 0.6045, + "step": 893 + }, + { + "epoch": 1.4304000000000001, + "grad_norm": 1.0113811764633014, + "learning_rate": 6.266342820458366e-06, + "loss": 0.4799, + "step": 894 + }, + { + "epoch": 1.432, + "grad_norm": 1.330912544547094, + "learning_rate": 6.2573330300265375e-06, + "loss": 0.7209, + "step": 895 + }, + { + "epoch": 1.4336, + "grad_norm": 1.1688886937178378, + "learning_rate": 6.248318879260488e-06, + "loss": 0.609, + "step": 896 + }, + { + "epoch": 1.4352, + "grad_norm": 1.2596305948429973, + "learning_rate": 6.239300399420601e-06, + "loss": 0.7181, + "step": 897 + }, + { + "epoch": 1.4368, + "grad_norm": 1.32192027270104, + "learning_rate": 6.230277621782269e-06, + "loss": 0.7701, + "step": 898 + }, + { + "epoch": 1.4384000000000001, + "grad_norm": 1.4734853010334765, + "learning_rate": 6.221250577635791e-06, + "loss": 0.6579, + "step": 899 + }, + { + "epoch": 1.44, + "grad_norm": 1.3253100993077958, + "learning_rate": 6.2122192982862615e-06, + "loss": 0.758, + "step": 900 + }, + { + "epoch": 1.4416, + "grad_norm": 1.1372799791703023, + "learning_rate": 6.203183815053463e-06, + "loss": 0.5747, + "step": 901 + }, + { + "epoch": 1.4432, + "grad_norm": 1.0163785096496036, + "learning_rate": 6.1941441592717564e-06, + "loss": 0.719, + "step": 902 + }, + { + "epoch": 1.4447999999999999, + "grad_norm": 1.182850292246135, + "learning_rate": 6.185100362289972e-06, + "loss": 0.7374, + "step": 903 + }, + { + "epoch": 1.4464000000000001, + "grad_norm": 1.1513584088837014, + "learning_rate": 6.176052455471302e-06, + "loss": 0.5785, + "step": 904 + }, + { + "epoch": 1.448, + "grad_norm": 1.4712041458432799, + "learning_rate": 6.167000470193189e-06, + "loss": 0.6012, + "step": 905 + }, + { + "epoch": 1.4496, + "grad_norm": 1.4314422197677397, + "learning_rate": 6.157944437847226e-06, + "loss": 0.7326, + "step": 906 + }, + { + "epoch": 1.4512, + "grad_norm": 1.1170620992240652, + "learning_rate": 6.148884389839035e-06, + "loss": 0.5299, + "step": 907 + }, + { + "epoch": 1.4527999999999999, + "grad_norm": 1.1229635286673914, + "learning_rate": 6.1398203575881645e-06, + "loss": 0.6806, + "step": 908 + }, + { + "epoch": 1.4544000000000001, + "grad_norm": 1.3091673234744405, + "learning_rate": 6.130752372527981e-06, + "loss": 0.5943, + "step": 909 + }, + { + "epoch": 1.456, + "grad_norm": 1.2085663488823692, + "learning_rate": 6.121680466105559e-06, + "loss": 0.7279, + "step": 910 + }, + { + "epoch": 1.4576, + "grad_norm": 1.0751539649030017, + "learning_rate": 6.112604669781572e-06, + "loss": 0.6444, + "step": 911 + }, + { + "epoch": 1.4592, + "grad_norm": 1.2494570171094106, + "learning_rate": 6.1035250150301864e-06, + "loss": 0.7919, + "step": 912 + }, + { + "epoch": 1.4607999999999999, + "grad_norm": 1.2489476958452004, + "learning_rate": 6.0944415333389405e-06, + "loss": 0.7331, + "step": 913 + }, + { + "epoch": 1.4624, + "grad_norm": 1.2106767017312203, + "learning_rate": 6.085354256208655e-06, + "loss": 0.7848, + "step": 914 + }, + { + "epoch": 1.464, + "grad_norm": 1.170426818322747, + "learning_rate": 6.076263215153308e-06, + "loss": 0.7152, + "step": 915 + }, + { + "epoch": 1.4656, + "grad_norm": 1.1080045204919717, + "learning_rate": 6.067168441699927e-06, + "loss": 0.561, + "step": 916 + }, + { + "epoch": 1.4672, + "grad_norm": 1.1634797821208192, + "learning_rate": 6.058069967388489e-06, + "loss": 0.6304, + "step": 917 + }, + { + "epoch": 1.4687999999999999, + "grad_norm": 1.0365563365268824, + "learning_rate": 6.048967823771802e-06, + "loss": 0.6906, + "step": 918 + }, + { + "epoch": 1.4704, + "grad_norm": 1.1237783232674887, + "learning_rate": 6.039862042415401e-06, + "loss": 0.7177, + "step": 919 + }, + { + "epoch": 1.472, + "grad_norm": 1.2690238204302238, + "learning_rate": 6.030752654897435e-06, + "loss": 0.7318, + "step": 920 + }, + { + "epoch": 1.4736, + "grad_norm": 1.2420366244925762, + "learning_rate": 6.021639692808558e-06, + "loss": 0.6329, + "step": 921 + }, + { + "epoch": 1.4752, + "grad_norm": 1.1385998159982653, + "learning_rate": 6.0125231877518205e-06, + "loss": 0.8191, + "step": 922 + }, + { + "epoch": 1.4768, + "grad_norm": 1.257650592109921, + "learning_rate": 6.0034031713425636e-06, + "loss": 0.7229, + "step": 923 + }, + { + "epoch": 1.4784, + "grad_norm": 1.3363318654253598, + "learning_rate": 5.994279675208302e-06, + "loss": 0.6503, + "step": 924 + }, + { + "epoch": 1.48, + "grad_norm": 1.1379796817349264, + "learning_rate": 5.985152730988617e-06, + "loss": 0.6202, + "step": 925 + }, + { + "epoch": 1.4816, + "grad_norm": 0.9842652996970314, + "learning_rate": 5.9760223703350495e-06, + "loss": 0.4728, + "step": 926 + }, + { + "epoch": 1.4832, + "grad_norm": 1.085294597562177, + "learning_rate": 5.966888624910989e-06, + "loss": 0.4007, + "step": 927 + }, + { + "epoch": 1.4848, + "grad_norm": 1.2196385559914007, + "learning_rate": 5.957751526391558e-06, + "loss": 0.6416, + "step": 928 + }, + { + "epoch": 1.4864, + "grad_norm": 1.1253266935556596, + "learning_rate": 5.948611106463518e-06, + "loss": 0.7154, + "step": 929 + }, + { + "epoch": 1.488, + "grad_norm": 1.2253562369505184, + "learning_rate": 5.939467396825137e-06, + "loss": 0.666, + "step": 930 + }, + { + "epoch": 1.4896, + "grad_norm": 1.1183374053307045, + "learning_rate": 5.9303204291860975e-06, + "loss": 0.4879, + "step": 931 + }, + { + "epoch": 1.4912, + "grad_norm": 1.1586755535219952, + "learning_rate": 5.92117023526738e-06, + "loss": 0.7857, + "step": 932 + }, + { + "epoch": 1.4928, + "grad_norm": 1.3131283523378914, + "learning_rate": 5.912016846801153e-06, + "loss": 0.7079, + "step": 933 + }, + { + "epoch": 1.4944, + "grad_norm": 1.0980315908994558, + "learning_rate": 5.902860295530665e-06, + "loss": 0.7171, + "step": 934 + }, + { + "epoch": 1.496, + "grad_norm": 0.9394132965471043, + "learning_rate": 5.893700613210128e-06, + "loss": 0.4202, + "step": 935 + }, + { + "epoch": 1.4976, + "grad_norm": 1.2058695978401652, + "learning_rate": 5.88453783160462e-06, + "loss": 0.5488, + "step": 936 + }, + { + "epoch": 1.4992, + "grad_norm": 1.0793124728891805, + "learning_rate": 5.875371982489959e-06, + "loss": 0.3475, + "step": 937 + }, + { + "epoch": 1.5008, + "grad_norm": 1.328873025037291, + "learning_rate": 5.866203097652605e-06, + "loss": 0.6553, + "step": 938 + }, + { + "epoch": 1.5024, + "grad_norm": 1.333670569224969, + "learning_rate": 5.857031208889548e-06, + "loss": 0.8131, + "step": 939 + }, + { + "epoch": 1.504, + "grad_norm": 1.3407004855688325, + "learning_rate": 5.847856348008188e-06, + "loss": 0.7184, + "step": 940 + }, + { + "epoch": 1.5056, + "grad_norm": 1.11308873725126, + "learning_rate": 5.838678546826242e-06, + "loss": 0.5408, + "step": 941 + }, + { + "epoch": 1.5072, + "grad_norm": 1.1833722341674666, + "learning_rate": 5.829497837171616e-06, + "loss": 0.6573, + "step": 942 + }, + { + "epoch": 1.5088, + "grad_norm": 1.256678635823589, + "learning_rate": 5.820314250882304e-06, + "loss": 0.6949, + "step": 943 + }, + { + "epoch": 1.5104, + "grad_norm": 1.0971453330659688, + "learning_rate": 5.811127819806277e-06, + "loss": 0.4679, + "step": 944 + }, + { + "epoch": 1.512, + "grad_norm": 1.0378575897456928, + "learning_rate": 5.801938575801372e-06, + "loss": 0.6328, + "step": 945 + }, + { + "epoch": 1.5135999999999998, + "grad_norm": 1.0350918399640188, + "learning_rate": 5.792746550735182e-06, + "loss": 0.5345, + "step": 946 + }, + { + "epoch": 1.5152, + "grad_norm": 1.0665133628136902, + "learning_rate": 5.7835517764849395e-06, + "loss": 0.6884, + "step": 947 + }, + { + "epoch": 1.5168, + "grad_norm": 1.0993398456814216, + "learning_rate": 5.7743542849374155e-06, + "loss": 0.4466, + "step": 948 + }, + { + "epoch": 1.5184, + "grad_norm": 1.0927270488899437, + "learning_rate": 5.765154107988803e-06, + "loss": 0.7235, + "step": 949 + }, + { + "epoch": 1.52, + "grad_norm": 1.2788033367468394, + "learning_rate": 5.755951277544607e-06, + "loss": 0.905, + "step": 950 + }, + { + "epoch": 1.5215999999999998, + "grad_norm": 1.2071339841025914, + "learning_rate": 5.746745825519539e-06, + "loss": 0.7306, + "step": 951 + }, + { + "epoch": 1.5232, + "grad_norm": 1.1487977920286807, + "learning_rate": 5.737537783837395e-06, + "loss": 0.7155, + "step": 952 + }, + { + "epoch": 1.5248, + "grad_norm": 1.2748184523140151, + "learning_rate": 5.728327184430955e-06, + "loss": 0.5605, + "step": 953 + }, + { + "epoch": 1.5264, + "grad_norm": 1.2201830121827055, + "learning_rate": 5.719114059241871e-06, + "loss": 0.5578, + "step": 954 + }, + { + "epoch": 1.528, + "grad_norm": 1.3675681106619149, + "learning_rate": 5.709898440220552e-06, + "loss": 0.822, + "step": 955 + }, + { + "epoch": 1.5295999999999998, + "grad_norm": 1.189175983240062, + "learning_rate": 5.700680359326055e-06, + "loss": 0.8151, + "step": 956 + }, + { + "epoch": 1.5312000000000001, + "grad_norm": 1.1767360888149707, + "learning_rate": 5.691459848525977e-06, + "loss": 0.723, + "step": 957 + }, + { + "epoch": 1.5328, + "grad_norm": 1.1271530436612984, + "learning_rate": 5.682236939796337e-06, + "loss": 0.5896, + "step": 958 + }, + { + "epoch": 1.5344, + "grad_norm": 1.135734163295131, + "learning_rate": 5.673011665121477e-06, + "loss": 0.5928, + "step": 959 + }, + { + "epoch": 1.536, + "grad_norm": 1.201137374939531, + "learning_rate": 5.663784056493936e-06, + "loss": 0.6753, + "step": 960 + }, + { + "epoch": 1.5375999999999999, + "grad_norm": 1.0212172069410483, + "learning_rate": 5.6545541459143535e-06, + "loss": 0.4069, + "step": 961 + }, + { + "epoch": 1.5392000000000001, + "grad_norm": 1.0130155617464967, + "learning_rate": 5.6453219653913495e-06, + "loss": 0.6102, + "step": 962 + }, + { + "epoch": 1.5408, + "grad_norm": 1.1054964976598196, + "learning_rate": 5.636087546941413e-06, + "loss": 0.6462, + "step": 963 + }, + { + "epoch": 1.5424, + "grad_norm": 1.1133110056866564, + "learning_rate": 5.6268509225888005e-06, + "loss": 0.7431, + "step": 964 + }, + { + "epoch": 1.544, + "grad_norm": 1.0359492378228154, + "learning_rate": 5.617612124365411e-06, + "loss": 0.6652, + "step": 965 + }, + { + "epoch": 1.5455999999999999, + "grad_norm": 1.1326266587880558, + "learning_rate": 5.608371184310688e-06, + "loss": 0.5085, + "step": 966 + }, + { + "epoch": 1.5472000000000001, + "grad_norm": 1.1720167595406872, + "learning_rate": 5.5991281344714984e-06, + "loss": 0.5763, + "step": 967 + }, + { + "epoch": 1.5488, + "grad_norm": 1.078688326869843, + "learning_rate": 5.5898830069020325e-06, + "loss": 0.697, + "step": 968 + }, + { + "epoch": 1.5504, + "grad_norm": 1.2385480892848886, + "learning_rate": 5.580635833663679e-06, + "loss": 0.5429, + "step": 969 + }, + { + "epoch": 1.552, + "grad_norm": 1.3563383296219322, + "learning_rate": 5.5713866468249235e-06, + "loss": 0.6982, + "step": 970 + }, + { + "epoch": 1.5535999999999999, + "grad_norm": 1.1605383986560867, + "learning_rate": 5.562135478461234e-06, + "loss": 0.6992, + "step": 971 + }, + { + "epoch": 1.5552000000000001, + "grad_norm": 1.0220305596940367, + "learning_rate": 5.55288236065495e-06, + "loss": 0.594, + "step": 972 + }, + { + "epoch": 1.5568, + "grad_norm": 1.1919100406435972, + "learning_rate": 5.5436273254951734e-06, + "loss": 0.6217, + "step": 973 + }, + { + "epoch": 1.5584, + "grad_norm": 1.230831289548136, + "learning_rate": 5.5343704050776535e-06, + "loss": 0.8309, + "step": 974 + }, + { + "epoch": 1.56, + "grad_norm": 1.2788006090792805, + "learning_rate": 5.5251116315046785e-06, + "loss": 0.7837, + "step": 975 + }, + { + "epoch": 1.5615999999999999, + "grad_norm": 1.0787247343229602, + "learning_rate": 5.515851036884964e-06, + "loss": 0.6083, + "step": 976 + }, + { + "epoch": 1.5632000000000001, + "grad_norm": 1.259166774826267, + "learning_rate": 5.5065886533335355e-06, + "loss": 0.7687, + "step": 977 + }, + { + "epoch": 1.5648, + "grad_norm": 1.2117713158437649, + "learning_rate": 5.497324512971632e-06, + "loss": 0.5497, + "step": 978 + }, + { + "epoch": 1.5664, + "grad_norm": 1.158179895660278, + "learning_rate": 5.4880586479265774e-06, + "loss": 0.749, + "step": 979 + }, + { + "epoch": 1.568, + "grad_norm": 1.1727442168388174, + "learning_rate": 5.478791090331677e-06, + "loss": 0.8196, + "step": 980 + }, + { + "epoch": 1.5695999999999999, + "grad_norm": 1.1657506382845677, + "learning_rate": 5.4695218723261115e-06, + "loss": 0.6108, + "step": 981 + }, + { + "epoch": 1.5712000000000002, + "grad_norm": 1.2842367514350705, + "learning_rate": 5.46025102605481e-06, + "loss": 0.8495, + "step": 982 + }, + { + "epoch": 1.5728, + "grad_norm": 1.297843482398709, + "learning_rate": 5.4509785836683606e-06, + "loss": 0.8309, + "step": 983 + }, + { + "epoch": 1.5744, + "grad_norm": 1.337332312874649, + "learning_rate": 5.441704577322877e-06, + "loss": 0.6943, + "step": 984 + }, + { + "epoch": 1.576, + "grad_norm": 1.2481229888856822, + "learning_rate": 5.4324290391798995e-06, + "loss": 0.7741, + "step": 985 + }, + { + "epoch": 1.5776, + "grad_norm": 1.0785239140499205, + "learning_rate": 5.423152001406282e-06, + "loss": 0.6596, + "step": 986 + }, + { + "epoch": 1.5792000000000002, + "grad_norm": 0.9698373227693667, + "learning_rate": 5.413873496174077e-06, + "loss": 0.3542, + "step": 987 + }, + { + "epoch": 1.5808, + "grad_norm": 1.3507374786568112, + "learning_rate": 5.404593555660424e-06, + "loss": 0.5497, + "step": 988 + }, + { + "epoch": 1.5824, + "grad_norm": 1.110645766414615, + "learning_rate": 5.39531221204745e-06, + "loss": 0.8019, + "step": 989 + }, + { + "epoch": 1.584, + "grad_norm": 1.1503283675821023, + "learning_rate": 5.3860294975221335e-06, + "loss": 0.683, + "step": 990 + }, + { + "epoch": 1.5856, + "grad_norm": 1.0824947964858467, + "learning_rate": 5.376745444276219e-06, + "loss": 0.583, + "step": 991 + }, + { + "epoch": 1.5872000000000002, + "grad_norm": 1.10801137275184, + "learning_rate": 5.3674600845060856e-06, + "loss": 0.7615, + "step": 992 + }, + { + "epoch": 1.5888, + "grad_norm": 1.0538255963787007, + "learning_rate": 5.358173450412649e-06, + "loss": 0.6623, + "step": 993 + }, + { + "epoch": 1.5904, + "grad_norm": 1.125773155438969, + "learning_rate": 5.34888557420124e-06, + "loss": 0.3727, + "step": 994 + }, + { + "epoch": 1.592, + "grad_norm": 1.1948547915824514, + "learning_rate": 5.339596488081501e-06, + "loss": 0.5956, + "step": 995 + }, + { + "epoch": 1.5936, + "grad_norm": 1.2178388697334486, + "learning_rate": 5.330306224267268e-06, + "loss": 0.6146, + "step": 996 + }, + { + "epoch": 1.5952, + "grad_norm": 1.1861357676103677, + "learning_rate": 5.321014814976459e-06, + "loss": 0.7278, + "step": 997 + }, + { + "epoch": 1.5968, + "grad_norm": 1.121405836843168, + "learning_rate": 5.311722292430966e-06, + "loss": 0.6748, + "step": 998 + }, + { + "epoch": 1.5984, + "grad_norm": 1.0966607847446037, + "learning_rate": 5.302428688856544e-06, + "loss": 0.7073, + "step": 999 + }, + { + "epoch": 1.6, + "grad_norm": 0.9909081884464844, + "learning_rate": 5.293134036482697e-06, + "loss": 0.538, + "step": 1000 + }, + { + "epoch": 1.6016, + "grad_norm": 1.211644834472217, + "learning_rate": 5.283838367542562e-06, + "loss": 0.6077, + "step": 1001 + }, + { + "epoch": 1.6032, + "grad_norm": 1.1355196371419298, + "learning_rate": 5.274541714272805e-06, + "loss": 0.5972, + "step": 1002 + }, + { + "epoch": 1.6048, + "grad_norm": 1.3598158401383813, + "learning_rate": 5.265244108913503e-06, + "loss": 0.7216, + "step": 1003 + }, + { + "epoch": 1.6064, + "grad_norm": 1.2050225332270803, + "learning_rate": 5.255945583708037e-06, + "loss": 0.6453, + "step": 1004 + }, + { + "epoch": 1.608, + "grad_norm": 1.0480979665816974, + "learning_rate": 5.2466461709029755e-06, + "loss": 0.6065, + "step": 1005 + }, + { + "epoch": 1.6096, + "grad_norm": 1.1374243626816265, + "learning_rate": 5.237345902747969e-06, + "loss": 0.6764, + "step": 1006 + }, + { + "epoch": 1.6112, + "grad_norm": 1.0409066453451836, + "learning_rate": 5.228044811495632e-06, + "loss": 0.6906, + "step": 1007 + }, + { + "epoch": 1.6128, + "grad_norm": 1.1517380868918468, + "learning_rate": 5.218742929401432e-06, + "loss": 0.7163, + "step": 1008 + }, + { + "epoch": 1.6143999999999998, + "grad_norm": 1.0627718889959366, + "learning_rate": 5.2094402887235805e-06, + "loss": 0.6553, + "step": 1009 + }, + { + "epoch": 1.616, + "grad_norm": 1.0696188488145764, + "learning_rate": 5.200136921722919e-06, + "loss": 0.5693, + "step": 1010 + }, + { + "epoch": 1.6176, + "grad_norm": 0.9814968568753212, + "learning_rate": 5.1908328606628114e-06, + "loss": 0.4051, + "step": 1011 + }, + { + "epoch": 1.6192, + "grad_norm": 1.1370639387574801, + "learning_rate": 5.181528137809023e-06, + "loss": 0.6475, + "step": 1012 + }, + { + "epoch": 1.6208, + "grad_norm": 1.1375876132430442, + "learning_rate": 5.1722227854296195e-06, + "loss": 0.6229, + "step": 1013 + }, + { + "epoch": 1.6223999999999998, + "grad_norm": 1.001399029145848, + "learning_rate": 5.162916835794843e-06, + "loss": 0.4343, + "step": 1014 + }, + { + "epoch": 1.624, + "grad_norm": 1.2210922815913183, + "learning_rate": 5.1536103211770135e-06, + "loss": 0.8521, + "step": 1015 + }, + { + "epoch": 1.6256, + "grad_norm": 1.1474632749193912, + "learning_rate": 5.14430327385041e-06, + "loss": 0.7631, + "step": 1016 + }, + { + "epoch": 1.6272, + "grad_norm": 1.1971639744728668, + "learning_rate": 5.134995726091152e-06, + "loss": 0.474, + "step": 1017 + }, + { + "epoch": 1.6288, + "grad_norm": 1.3314526294409563, + "learning_rate": 5.1256877101771015e-06, + "loss": 0.4618, + "step": 1018 + }, + { + "epoch": 1.6303999999999998, + "grad_norm": 1.1210823495743871, + "learning_rate": 5.116379258387742e-06, + "loss": 0.7, + "step": 1019 + }, + { + "epoch": 1.6320000000000001, + "grad_norm": 1.2291112808003997, + "learning_rate": 5.1070704030040675e-06, + "loss": 0.77, + "step": 1020 + }, + { + "epoch": 1.6336, + "grad_norm": 1.2416530477644234, + "learning_rate": 5.097761176308471e-06, + "loss": 0.7892, + "step": 1021 + }, + { + "epoch": 1.6352, + "grad_norm": 1.3725108883015724, + "learning_rate": 5.088451610584638e-06, + "loss": 0.716, + "step": 1022 + }, + { + "epoch": 1.6368, + "grad_norm": 1.1674581377913043, + "learning_rate": 5.079141738117423e-06, + "loss": 0.7369, + "step": 1023 + }, + { + "epoch": 1.6383999999999999, + "grad_norm": 1.235865331948493, + "learning_rate": 5.06983159119275e-06, + "loss": 0.7201, + "step": 1024 + }, + { + "epoch": 1.6400000000000001, + "grad_norm": 1.1766425486549785, + "learning_rate": 5.060521202097491e-06, + "loss": 0.6143, + "step": 1025 + }, + { + "epoch": 1.6416, + "grad_norm": 1.1181639469338849, + "learning_rate": 5.051210603119358e-06, + "loss": 0.7181, + "step": 1026 + }, + { + "epoch": 1.6432, + "grad_norm": 1.1763984392105327, + "learning_rate": 5.041899826546791e-06, + "loss": 0.5734, + "step": 1027 + }, + { + "epoch": 1.6448, + "grad_norm": 0.886731758445484, + "learning_rate": 5.032588904668851e-06, + "loss": 0.5226, + "step": 1028 + }, + { + "epoch": 1.6463999999999999, + "grad_norm": 1.358183730897876, + "learning_rate": 5.023277869775097e-06, + "loss": 0.8088, + "step": 1029 + }, + { + "epoch": 1.6480000000000001, + "grad_norm": 1.0761040548279244, + "learning_rate": 5.013966754155482e-06, + "loss": 0.6791, + "step": 1030 + }, + { + "epoch": 1.6496, + "grad_norm": 1.150528259121588, + "learning_rate": 5.004655590100238e-06, + "loss": 0.7183, + "step": 1031 + }, + { + "epoch": 1.6512, + "grad_norm": 1.0559296584200513, + "learning_rate": 4.995344409899764e-06, + "loss": 0.6048, + "step": 1032 + }, + { + "epoch": 1.6528, + "grad_norm": 1.0886940103108016, + "learning_rate": 4.986033245844519e-06, + "loss": 0.6635, + "step": 1033 + }, + { + "epoch": 1.6543999999999999, + "grad_norm": 1.266678172480723, + "learning_rate": 4.976722130224904e-06, + "loss": 0.8285, + "step": 1034 + }, + { + "epoch": 1.6560000000000001, + "grad_norm": 1.102110861134063, + "learning_rate": 4.967411095331149e-06, + "loss": 0.6563, + "step": 1035 + }, + { + "epoch": 1.6576, + "grad_norm": 1.1148389787360238, + "learning_rate": 4.95810017345321e-06, + "loss": 0.5594, + "step": 1036 + }, + { + "epoch": 1.6592, + "grad_norm": 1.1580113627302566, + "learning_rate": 4.948789396880644e-06, + "loss": 0.4618, + "step": 1037 + }, + { + "epoch": 1.6608, + "grad_norm": 0.9736790482670147, + "learning_rate": 4.939478797902512e-06, + "loss": 0.5523, + "step": 1038 + }, + { + "epoch": 1.6623999999999999, + "grad_norm": 1.1598292183989116, + "learning_rate": 4.930168408807252e-06, + "loss": 0.7533, + "step": 1039 + }, + { + "epoch": 1.6640000000000001, + "grad_norm": 1.1387778597664762, + "learning_rate": 4.920858261882578e-06, + "loss": 0.582, + "step": 1040 + }, + { + "epoch": 1.6656, + "grad_norm": 1.1115978786386556, + "learning_rate": 4.911548389415363e-06, + "loss": 0.5688, + "step": 1041 + }, + { + "epoch": 1.6672, + "grad_norm": 0.9997337398578393, + "learning_rate": 4.9022388236915306e-06, + "loss": 0.6925, + "step": 1042 + }, + { + "epoch": 1.6688, + "grad_norm": 1.2049238065331527, + "learning_rate": 4.892929596995934e-06, + "loss": 0.8847, + "step": 1043 + }, + { + "epoch": 1.6703999999999999, + "grad_norm": 1.1715510037458747, + "learning_rate": 4.883620741612259e-06, + "loss": 0.7546, + "step": 1044 + }, + { + "epoch": 1.6720000000000002, + "grad_norm": 1.0681399831300908, + "learning_rate": 4.8743122898229e-06, + "loss": 0.6568, + "step": 1045 + }, + { + "epoch": 1.6736, + "grad_norm": 1.1276248067659158, + "learning_rate": 4.865004273908851e-06, + "loss": 0.5168, + "step": 1046 + }, + { + "epoch": 1.6752, + "grad_norm": 1.3305906510955694, + "learning_rate": 4.855696726149593e-06, + "loss": 0.737, + "step": 1047 + }, + { + "epoch": 1.6768, + "grad_norm": 1.1134600215136596, + "learning_rate": 4.846389678822987e-06, + "loss": 0.6535, + "step": 1048 + }, + { + "epoch": 1.6784, + "grad_norm": 1.406950318765235, + "learning_rate": 4.837083164205159e-06, + "loss": 0.7967, + "step": 1049 + }, + { + "epoch": 1.6800000000000002, + "grad_norm": 1.0788514474381512, + "learning_rate": 4.827777214570384e-06, + "loss": 0.5824, + "step": 1050 + }, + { + "epoch": 1.6816, + "grad_norm": 1.169014447171907, + "learning_rate": 4.818471862190979e-06, + "loss": 0.7004, + "step": 1051 + }, + { + "epoch": 1.6832, + "grad_norm": 1.2644365762660572, + "learning_rate": 4.809167139337191e-06, + "loss": 0.6356, + "step": 1052 + }, + { + "epoch": 1.6848, + "grad_norm": 1.415610108414829, + "learning_rate": 4.799863078277082e-06, + "loss": 0.8699, + "step": 1053 + }, + { + "epoch": 1.6864, + "grad_norm": 1.3746559006040033, + "learning_rate": 4.790559711276422e-06, + "loss": 0.7905, + "step": 1054 + }, + { + "epoch": 1.688, + "grad_norm": 0.9627125231532317, + "learning_rate": 4.781257070598571e-06, + "loss": 0.4528, + "step": 1055 + }, + { + "epoch": 1.6896, + "grad_norm": 1.139393020426623, + "learning_rate": 4.771955188504371e-06, + "loss": 0.8002, + "step": 1056 + }, + { + "epoch": 1.6912, + "grad_norm": 1.081193459865997, + "learning_rate": 4.762654097252033e-06, + "loss": 0.7228, + "step": 1057 + }, + { + "epoch": 1.6928, + "grad_norm": 1.0534858365524324, + "learning_rate": 4.753353829097025e-06, + "loss": 0.6758, + "step": 1058 + }, + { + "epoch": 1.6944, + "grad_norm": 1.0009089188828206, + "learning_rate": 4.7440544162919645e-06, + "loss": 0.5022, + "step": 1059 + }, + { + "epoch": 1.696, + "grad_norm": 0.9954823334743156, + "learning_rate": 4.734755891086498e-06, + "loss": 0.4838, + "step": 1060 + }, + { + "epoch": 1.6976, + "grad_norm": 1.1670242844820142, + "learning_rate": 4.725458285727195e-06, + "loss": 0.5854, + "step": 1061 + }, + { + "epoch": 1.6992, + "grad_norm": 1.345248711640015, + "learning_rate": 4.716161632457438e-06, + "loss": 0.7955, + "step": 1062 + }, + { + "epoch": 1.7008, + "grad_norm": 1.0604146301112167, + "learning_rate": 4.7068659635173034e-06, + "loss": 0.6857, + "step": 1063 + }, + { + "epoch": 1.7024, + "grad_norm": 1.059910473698165, + "learning_rate": 4.6975713111434556e-06, + "loss": 0.597, + "step": 1064 + }, + { + "epoch": 1.704, + "grad_norm": 1.0551783443751968, + "learning_rate": 4.688277707569035e-06, + "loss": 0.4933, + "step": 1065 + }, + { + "epoch": 1.7056, + "grad_norm": 1.1229548669758194, + "learning_rate": 4.678985185023542e-06, + "loss": 0.5961, + "step": 1066 + }, + { + "epoch": 1.7072, + "grad_norm": 0.9110447257531349, + "learning_rate": 4.669693775732733e-06, + "loss": 0.3572, + "step": 1067 + }, + { + "epoch": 1.7088, + "grad_norm": 1.0541361415578177, + "learning_rate": 4.660403511918499e-06, + "loss": 0.5908, + "step": 1068 + }, + { + "epoch": 1.7104, + "grad_norm": 1.3554534690356557, + "learning_rate": 4.65111442579876e-06, + "loss": 0.6871, + "step": 1069 + }, + { + "epoch": 1.712, + "grad_norm": 1.1004124561307715, + "learning_rate": 4.641826549587352e-06, + "loss": 0.6668, + "step": 1070 + }, + { + "epoch": 1.7136, + "grad_norm": 1.1238666349633408, + "learning_rate": 4.632539915493915e-06, + "loss": 0.6706, + "step": 1071 + }, + { + "epoch": 1.7151999999999998, + "grad_norm": 1.261881791471997, + "learning_rate": 4.623254555723783e-06, + "loss": 0.6641, + "step": 1072 + }, + { + "epoch": 1.7168, + "grad_norm": 1.007250334955659, + "learning_rate": 4.613970502477867e-06, + "loss": 0.4538, + "step": 1073 + }, + { + "epoch": 1.7184, + "grad_norm": 1.2089166770859263, + "learning_rate": 4.604687787952552e-06, + "loss": 0.7525, + "step": 1074 + }, + { + "epoch": 1.72, + "grad_norm": 0.998155236027867, + "learning_rate": 4.5954064443395765e-06, + "loss": 0.5949, + "step": 1075 + }, + { + "epoch": 1.7216, + "grad_norm": 1.4448079202238986, + "learning_rate": 4.586126503825925e-06, + "loss": 0.7295, + "step": 1076 + }, + { + "epoch": 1.7231999999999998, + "grad_norm": 1.1810835641879265, + "learning_rate": 4.57684799859372e-06, + "loss": 0.6648, + "step": 1077 + }, + { + "epoch": 1.7248, + "grad_norm": 1.2048129352393986, + "learning_rate": 4.567570960820101e-06, + "loss": 0.5893, + "step": 1078 + }, + { + "epoch": 1.7264, + "grad_norm": 1.027599803617592, + "learning_rate": 4.558295422677124e-06, + "loss": 0.6012, + "step": 1079 + }, + { + "epoch": 1.728, + "grad_norm": 1.1331389360529684, + "learning_rate": 4.54902141633164e-06, + "loss": 0.6808, + "step": 1080 + }, + { + "epoch": 1.7296, + "grad_norm": 1.130502881885185, + "learning_rate": 4.539748973945191e-06, + "loss": 0.6365, + "step": 1081 + }, + { + "epoch": 1.7311999999999999, + "grad_norm": 1.1187680868884713, + "learning_rate": 4.53047812767389e-06, + "loss": 0.7399, + "step": 1082 + }, + { + "epoch": 1.7328000000000001, + "grad_norm": 1.0456949679706353, + "learning_rate": 4.5212089096683234e-06, + "loss": 0.5556, + "step": 1083 + }, + { + "epoch": 1.7344, + "grad_norm": 1.0524248612354574, + "learning_rate": 4.511941352073424e-06, + "loss": 0.6999, + "step": 1084 + }, + { + "epoch": 1.736, + "grad_norm": 1.0153904119199635, + "learning_rate": 4.5026754870283695e-06, + "loss": 0.5348, + "step": 1085 + }, + { + "epoch": 1.7376, + "grad_norm": 0.9775075407981751, + "learning_rate": 4.493411346666465e-06, + "loss": 0.4488, + "step": 1086 + }, + { + "epoch": 1.7391999999999999, + "grad_norm": 0.972922942990288, + "learning_rate": 4.484148963115038e-06, + "loss": 0.4998, + "step": 1087 + }, + { + "epoch": 1.7408000000000001, + "grad_norm": 1.0770691912979984, + "learning_rate": 4.474888368495322e-06, + "loss": 0.6422, + "step": 1088 + }, + { + "epoch": 1.7424, + "grad_norm": 1.124485048361826, + "learning_rate": 4.465629594922348e-06, + "loss": 0.6997, + "step": 1089 + }, + { + "epoch": 1.744, + "grad_norm": 1.2511248791769052, + "learning_rate": 4.456372674504828e-06, + "loss": 0.7608, + "step": 1090 + }, + { + "epoch": 1.7456, + "grad_norm": 1.1086202746988507, + "learning_rate": 4.447117639345052e-06, + "loss": 0.6993, + "step": 1091 + }, + { + "epoch": 1.7471999999999999, + "grad_norm": 1.04525989143107, + "learning_rate": 4.437864521538768e-06, + "loss": 0.5542, + "step": 1092 + }, + { + "epoch": 1.7488000000000001, + "grad_norm": 0.949125942040824, + "learning_rate": 4.428613353175078e-06, + "loss": 0.541, + "step": 1093 + }, + { + "epoch": 1.7504, + "grad_norm": 1.2102278674685583, + "learning_rate": 4.4193641663363214e-06, + "loss": 0.8433, + "step": 1094 + }, + { + "epoch": 1.752, + "grad_norm": 1.1071324745488387, + "learning_rate": 4.410116993097968e-06, + "loss": 0.5821, + "step": 1095 + }, + { + "epoch": 1.7536, + "grad_norm": 1.1943502546889342, + "learning_rate": 4.400871865528502e-06, + "loss": 0.6483, + "step": 1096 + }, + { + "epoch": 1.7551999999999999, + "grad_norm": 1.30864368936339, + "learning_rate": 4.391628815689314e-06, + "loss": 0.7407, + "step": 1097 + }, + { + "epoch": 1.7568000000000001, + "grad_norm": 1.0196814696951229, + "learning_rate": 4.382387875634592e-06, + "loss": 0.6911, + "step": 1098 + }, + { + "epoch": 1.7584, + "grad_norm": 1.1228657851778423, + "learning_rate": 4.373149077411203e-06, + "loss": 0.6756, + "step": 1099 + }, + { + "epoch": 1.76, + "grad_norm": 1.2581951513065248, + "learning_rate": 4.363912453058589e-06, + "loss": 0.7129, + "step": 1100 + }, + { + "epoch": 1.7616, + "grad_norm": 1.121078218340067, + "learning_rate": 4.354678034608654e-06, + "loss": 0.7299, + "step": 1101 + }, + { + "epoch": 1.7631999999999999, + "grad_norm": 0.8367954862140153, + "learning_rate": 4.345445854085649e-06, + "loss": 0.385, + "step": 1102 + }, + { + "epoch": 1.7648000000000001, + "grad_norm": 1.098404305635736, + "learning_rate": 4.336215943506066e-06, + "loss": 0.556, + "step": 1103 + }, + { + "epoch": 1.7664, + "grad_norm": 1.0300256778032608, + "learning_rate": 4.326988334878526e-06, + "loss": 0.4325, + "step": 1104 + }, + { + "epoch": 1.768, + "grad_norm": 0.9839663920449834, + "learning_rate": 4.317763060203665e-06, + "loss": 0.5372, + "step": 1105 + }, + { + "epoch": 1.7696, + "grad_norm": 0.918996899678813, + "learning_rate": 4.308540151474027e-06, + "loss": 0.4733, + "step": 1106 + }, + { + "epoch": 1.7711999999999999, + "grad_norm": 1.2009162171375496, + "learning_rate": 4.299319640673948e-06, + "loss": 0.7674, + "step": 1107 + }, + { + "epoch": 1.7728000000000002, + "grad_norm": 0.8965525990582511, + "learning_rate": 4.290101559779451e-06, + "loss": 0.3298, + "step": 1108 + }, + { + "epoch": 1.7744, + "grad_norm": 1.2071437169189085, + "learning_rate": 4.280885940758131e-06, + "loss": 0.6655, + "step": 1109 + }, + { + "epoch": 1.776, + "grad_norm": 1.0943589484795273, + "learning_rate": 4.271672815569047e-06, + "loss": 0.6127, + "step": 1110 + }, + { + "epoch": 1.7776, + "grad_norm": 1.100221707324751, + "learning_rate": 4.262462216162606e-06, + "loss": 0.6264, + "step": 1111 + }, + { + "epoch": 1.7792, + "grad_norm": 1.2277294029089822, + "learning_rate": 4.253254174480462e-06, + "loss": 0.772, + "step": 1112 + }, + { + "epoch": 1.7808000000000002, + "grad_norm": 1.133502627702663, + "learning_rate": 4.244048722455393e-06, + "loss": 0.6533, + "step": 1113 + }, + { + "epoch": 1.7824, + "grad_norm": 1.132044077429827, + "learning_rate": 4.234845892011198e-06, + "loss": 0.6995, + "step": 1114 + }, + { + "epoch": 1.784, + "grad_norm": 0.9962683770515747, + "learning_rate": 4.225645715062585e-06, + "loss": 0.5813, + "step": 1115 + }, + { + "epoch": 1.7856, + "grad_norm": 1.0559637618515973, + "learning_rate": 4.216448223515061e-06, + "loss": 0.6666, + "step": 1116 + }, + { + "epoch": 1.7872, + "grad_norm": 1.0926588684122058, + "learning_rate": 4.2072534492648184e-06, + "loss": 0.6607, + "step": 1117 + }, + { + "epoch": 1.7888, + "grad_norm": 0.9954110873250899, + "learning_rate": 4.198061424198627e-06, + "loss": 0.6861, + "step": 1118 + }, + { + "epoch": 1.7904, + "grad_norm": 1.0381826618245467, + "learning_rate": 4.188872180193723e-06, + "loss": 0.6391, + "step": 1119 + }, + { + "epoch": 1.792, + "grad_norm": 1.0918296652128439, + "learning_rate": 4.179685749117698e-06, + "loss": 0.5489, + "step": 1120 + }, + { + "epoch": 1.7936, + "grad_norm": 1.0632920849868528, + "learning_rate": 4.170502162828385e-06, + "loss": 0.842, + "step": 1121 + }, + { + "epoch": 1.7952, + "grad_norm": 1.1940299297769568, + "learning_rate": 4.161321453173759e-06, + "loss": 0.6134, + "step": 1122 + }, + { + "epoch": 1.7968, + "grad_norm": 0.8993388695349045, + "learning_rate": 4.152143651991812e-06, + "loss": 0.5187, + "step": 1123 + }, + { + "epoch": 1.7984, + "grad_norm": 1.1140215333153904, + "learning_rate": 4.142968791110455e-06, + "loss": 0.6613, + "step": 1124 + }, + { + "epoch": 1.8, + "grad_norm": 1.0250049674823194, + "learning_rate": 4.133796902347397e-06, + "loss": 0.4715, + "step": 1125 + }, + { + "epoch": 1.8016, + "grad_norm": 0.9374378085268168, + "learning_rate": 4.124628017510043e-06, + "loss": 0.5033, + "step": 1126 + }, + { + "epoch": 1.8032, + "grad_norm": 1.0275824976813237, + "learning_rate": 4.115462168395382e-06, + "loss": 0.6422, + "step": 1127 + }, + { + "epoch": 1.8048, + "grad_norm": 1.250968589831042, + "learning_rate": 4.106299386789873e-06, + "loss": 0.7995, + "step": 1128 + }, + { + "epoch": 1.8064, + "grad_norm": 1.1401947903209697, + "learning_rate": 4.097139704469337e-06, + "loss": 0.7319, + "step": 1129 + }, + { + "epoch": 1.808, + "grad_norm": 0.9422456049626972, + "learning_rate": 4.0879831531988485e-06, + "loss": 0.5161, + "step": 1130 + }, + { + "epoch": 1.8096, + "grad_norm": 1.1568988813017644, + "learning_rate": 4.078829764732621e-06, + "loss": 0.6733, + "step": 1131 + }, + { + "epoch": 1.8112, + "grad_norm": 1.0840577247477663, + "learning_rate": 4.069679570813903e-06, + "loss": 0.5758, + "step": 1132 + }, + { + "epoch": 1.8128, + "grad_norm": 0.9617887195494491, + "learning_rate": 4.060532603174865e-06, + "loss": 0.4745, + "step": 1133 + }, + { + "epoch": 1.8144, + "grad_norm": 0.938195376837775, + "learning_rate": 4.051388893536484e-06, + "loss": 0.5375, + "step": 1134 + }, + { + "epoch": 1.8159999999999998, + "grad_norm": 1.1821054362980257, + "learning_rate": 4.042248473608442e-06, + "loss": 0.7515, + "step": 1135 + }, + { + "epoch": 1.8176, + "grad_norm": 0.9907229297998346, + "learning_rate": 4.033111375089013e-06, + "loss": 0.5884, + "step": 1136 + }, + { + "epoch": 1.8192, + "grad_norm": 1.1019938498630961, + "learning_rate": 4.023977629664951e-06, + "loss": 0.51, + "step": 1137 + }, + { + "epoch": 1.8208, + "grad_norm": 1.0632549365030741, + "learning_rate": 4.0148472690113845e-06, + "loss": 0.4572, + "step": 1138 + }, + { + "epoch": 1.8224, + "grad_norm": 1.0292049071503557, + "learning_rate": 4.0057203247917e-06, + "loss": 0.7291, + "step": 1139 + }, + { + "epoch": 1.8239999999999998, + "grad_norm": 1.0827720681508033, + "learning_rate": 3.996596828657437e-06, + "loss": 0.6103, + "step": 1140 + }, + { + "epoch": 1.8256000000000001, + "grad_norm": 1.277518025094715, + "learning_rate": 3.987476812248181e-06, + "loss": 0.78, + "step": 1141 + }, + { + "epoch": 1.8272, + "grad_norm": 0.9603646670243093, + "learning_rate": 3.978360307191444e-06, + "loss": 0.5449, + "step": 1142 + }, + { + "epoch": 1.8288, + "grad_norm": 1.1610366903286724, + "learning_rate": 3.969247345102567e-06, + "loss": 0.514, + "step": 1143 + }, + { + "epoch": 1.8304, + "grad_norm": 1.0577191345905648, + "learning_rate": 3.960137957584601e-06, + "loss": 0.6131, + "step": 1144 + }, + { + "epoch": 1.8319999999999999, + "grad_norm": 1.0002245927283018, + "learning_rate": 3.9510321762282e-06, + "loss": 0.59, + "step": 1145 + }, + { + "epoch": 1.8336000000000001, + "grad_norm": 0.9293742344463867, + "learning_rate": 3.941930032611513e-06, + "loss": 0.5918, + "step": 1146 + }, + { + "epoch": 1.8352, + "grad_norm": 0.8377563940866505, + "learning_rate": 3.932831558300074e-06, + "loss": 0.4594, + "step": 1147 + }, + { + "epoch": 1.8368, + "grad_norm": 0.9214775007622398, + "learning_rate": 3.923736784846693e-06, + "loss": 0.4994, + "step": 1148 + }, + { + "epoch": 1.8384, + "grad_norm": 1.0137162003448767, + "learning_rate": 3.914645743791346e-06, + "loss": 0.7127, + "step": 1149 + }, + { + "epoch": 1.8399999999999999, + "grad_norm": 0.8712028420975745, + "learning_rate": 3.90555846666106e-06, + "loss": 0.4343, + "step": 1150 + }, + { + "epoch": 1.8416000000000001, + "grad_norm": 1.0595215201870019, + "learning_rate": 3.896474984969817e-06, + "loss": 0.5338, + "step": 1151 + }, + { + "epoch": 1.8432, + "grad_norm": 1.077695114776715, + "learning_rate": 3.887395330218429e-06, + "loss": 0.7144, + "step": 1152 + }, + { + "epoch": 1.8448, + "grad_norm": 1.3143018246677294, + "learning_rate": 3.878319533894443e-06, + "loss": 0.7393, + "step": 1153 + }, + { + "epoch": 1.8464, + "grad_norm": 1.0637595174147276, + "learning_rate": 3.869247627472021e-06, + "loss": 0.7207, + "step": 1154 + }, + { + "epoch": 1.8479999999999999, + "grad_norm": 1.0069524742050775, + "learning_rate": 3.860179642411838e-06, + "loss": 0.5585, + "step": 1155 + }, + { + "epoch": 1.8496000000000001, + "grad_norm": 1.01242631348411, + "learning_rate": 3.851115610160967e-06, + "loss": 0.546, + "step": 1156 + }, + { + "epoch": 1.8512, + "grad_norm": 1.1443497986243274, + "learning_rate": 3.842055562152775e-06, + "loss": 0.6193, + "step": 1157 + }, + { + "epoch": 1.8528, + "grad_norm": 1.1806865043528374, + "learning_rate": 3.8329995298068114e-06, + "loss": 0.7415, + "step": 1158 + }, + { + "epoch": 1.8544, + "grad_norm": 1.0858266668477565, + "learning_rate": 3.8239475445287015e-06, + "loss": 0.5342, + "step": 1159 + }, + { + "epoch": 1.8559999999999999, + "grad_norm": 1.2129989491446302, + "learning_rate": 3.814899637710031e-06, + "loss": 0.7803, + "step": 1160 + }, + { + "epoch": 1.8576000000000001, + "grad_norm": 1.2252042565492782, + "learning_rate": 3.8058558407282465e-06, + "loss": 0.6921, + "step": 1161 + }, + { + "epoch": 1.8592, + "grad_norm": 1.1282891882288608, + "learning_rate": 3.7968161849465395e-06, + "loss": 0.744, + "step": 1162 + }, + { + "epoch": 1.8608, + "grad_norm": 1.2585515340786622, + "learning_rate": 3.78778070171374e-06, + "loss": 0.7129, + "step": 1163 + }, + { + "epoch": 1.8624, + "grad_norm": 1.0529771224424942, + "learning_rate": 3.7787494223642096e-06, + "loss": 0.5703, + "step": 1164 + }, + { + "epoch": 1.8639999999999999, + "grad_norm": 1.0938709322060731, + "learning_rate": 3.7697223782177304e-06, + "loss": 0.5712, + "step": 1165 + }, + { + "epoch": 1.8656000000000001, + "grad_norm": 1.0605176733000814, + "learning_rate": 3.760699600579399e-06, + "loss": 0.6075, + "step": 1166 + }, + { + "epoch": 1.8672, + "grad_norm": 1.0363584586659609, + "learning_rate": 3.7516811207395116e-06, + "loss": 0.6045, + "step": 1167 + }, + { + "epoch": 1.8688, + "grad_norm": 1.142411464820728, + "learning_rate": 3.742666969973463e-06, + "loss": 0.7302, + "step": 1168 + }, + { + "epoch": 1.8704, + "grad_norm": 1.0954726085406266, + "learning_rate": 3.733657179541635e-06, + "loss": 0.6496, + "step": 1169 + }, + { + "epoch": 1.8719999999999999, + "grad_norm": 1.0629301918194092, + "learning_rate": 3.724651780689286e-06, + "loss": 0.6655, + "step": 1170 + }, + { + "epoch": 1.8736000000000002, + "grad_norm": 1.0675645700003733, + "learning_rate": 3.715650804646449e-06, + "loss": 0.6425, + "step": 1171 + }, + { + "epoch": 1.8752, + "grad_norm": 0.9670180398783638, + "learning_rate": 3.7066542826278153e-06, + "loss": 0.5094, + "step": 1172 + }, + { + "epoch": 1.8768, + "grad_norm": 1.0924204822663228, + "learning_rate": 3.6976622458326308e-06, + "loss": 0.7368, + "step": 1173 + }, + { + "epoch": 1.8784, + "grad_norm": 1.3398593468593558, + "learning_rate": 3.6886747254445877e-06, + "loss": 0.8557, + "step": 1174 + }, + { + "epoch": 1.88, + "grad_norm": 1.1046487320646705, + "learning_rate": 3.6796917526317153e-06, + "loss": 0.6763, + "step": 1175 + }, + { + "epoch": 1.8816000000000002, + "grad_norm": 1.0936990912044038, + "learning_rate": 3.6707133585462713e-06, + "loss": 0.5341, + "step": 1176 + }, + { + "epoch": 1.8832, + "grad_norm": 1.232437486300085, + "learning_rate": 3.6617395743246375e-06, + "loss": 0.7537, + "step": 1177 + }, + { + "epoch": 1.8848, + "grad_norm": 1.0203715444637904, + "learning_rate": 3.652770431087206e-06, + "loss": 0.6408, + "step": 1178 + }, + { + "epoch": 1.8864, + "grad_norm": 1.0082403503624886, + "learning_rate": 3.6438059599382765e-06, + "loss": 0.5113, + "step": 1179 + }, + { + "epoch": 1.888, + "grad_norm": 0.9959890812617046, + "learning_rate": 3.634846191965944e-06, + "loss": 0.699, + "step": 1180 + }, + { + "epoch": 1.8896, + "grad_norm": 1.1058286048074997, + "learning_rate": 3.625891158241994e-06, + "loss": 0.6435, + "step": 1181 + }, + { + "epoch": 1.8912, + "grad_norm": 0.969966661507889, + "learning_rate": 3.6169408898217973e-06, + "loss": 0.6663, + "step": 1182 + }, + { + "epoch": 1.8928, + "grad_norm": 0.8505764415202092, + "learning_rate": 3.6079954177441945e-06, + "loss": 0.309, + "step": 1183 + }, + { + "epoch": 1.8944, + "grad_norm": 1.0758446208904986, + "learning_rate": 3.599054773031394e-06, + "loss": 0.5717, + "step": 1184 + }, + { + "epoch": 1.896, + "grad_norm": 1.0165347761828614, + "learning_rate": 3.5901189866888654e-06, + "loss": 0.4677, + "step": 1185 + }, + { + "epoch": 1.8976, + "grad_norm": 0.9286025334800835, + "learning_rate": 3.581188089705226e-06, + "loss": 0.4619, + "step": 1186 + }, + { + "epoch": 1.8992, + "grad_norm": 0.9374588042066216, + "learning_rate": 3.572262113052142e-06, + "loss": 0.3228, + "step": 1187 + }, + { + "epoch": 1.9008, + "grad_norm": 1.025736743071331, + "learning_rate": 3.563341087684213e-06, + "loss": 0.6244, + "step": 1188 + }, + { + "epoch": 1.9024, + "grad_norm": 1.1222808943789733, + "learning_rate": 3.554425044538868e-06, + "loss": 0.6511, + "step": 1189 + }, + { + "epoch": 1.904, + "grad_norm": 1.1996286960494713, + "learning_rate": 3.5455140145362587e-06, + "loss": 0.6727, + "step": 1190 + }, + { + "epoch": 1.9056, + "grad_norm": 1.149147491424003, + "learning_rate": 3.5366080285791516e-06, + "loss": 0.5308, + "step": 1191 + }, + { + "epoch": 1.9072, + "grad_norm": 0.8585098677052776, + "learning_rate": 3.527707117552822e-06, + "loss": 0.4403, + "step": 1192 + }, + { + "epoch": 1.9088, + "grad_norm": 0.9803858690486458, + "learning_rate": 3.5188113123249435e-06, + "loss": 0.475, + "step": 1193 + }, + { + "epoch": 1.9104, + "grad_norm": 1.1273091414872751, + "learning_rate": 3.5099206437454852e-06, + "loss": 0.8288, + "step": 1194 + }, + { + "epoch": 1.912, + "grad_norm": 0.9677683578490914, + "learning_rate": 3.5010351426466006e-06, + "loss": 0.5636, + "step": 1195 + }, + { + "epoch": 1.9136, + "grad_norm": 1.0976673251534452, + "learning_rate": 3.4921548398425246e-06, + "loss": 0.6977, + "step": 1196 + }, + { + "epoch": 1.9152, + "grad_norm": 1.289293306657935, + "learning_rate": 3.4832797661294633e-06, + "loss": 0.8418, + "step": 1197 + }, + { + "epoch": 1.9167999999999998, + "grad_norm": 1.1176129391055853, + "learning_rate": 3.4744099522854914e-06, + "loss": 0.5438, + "step": 1198 + }, + { + "epoch": 1.9184, + "grad_norm": 1.0622579906717327, + "learning_rate": 3.4655454290704393e-06, + "loss": 0.6945, + "step": 1199 + }, + { + "epoch": 1.92, + "grad_norm": 1.143160951662353, + "learning_rate": 3.4566862272257923e-06, + "loss": 0.6156, + "step": 1200 + }, + { + "epoch": 1.9216, + "grad_norm": 1.1044820527219912, + "learning_rate": 3.44783237747458e-06, + "loss": 0.6793, + "step": 1201 + }, + { + "epoch": 1.9232, + "grad_norm": 0.913587198928814, + "learning_rate": 3.438983910521273e-06, + "loss": 0.4574, + "step": 1202 + }, + { + "epoch": 1.9247999999999998, + "grad_norm": 1.0262417303481601, + "learning_rate": 3.430140857051675e-06, + "loss": 0.524, + "step": 1203 + }, + { + "epoch": 1.9264000000000001, + "grad_norm": 1.0448064318747774, + "learning_rate": 3.421303247732813e-06, + "loss": 0.622, + "step": 1204 + }, + { + "epoch": 1.928, + "grad_norm": 0.9968936147775568, + "learning_rate": 3.4124711132128374e-06, + "loss": 0.6706, + "step": 1205 + }, + { + "epoch": 1.9296, + "grad_norm": 1.0266056364903204, + "learning_rate": 3.4036444841209113e-06, + "loss": 0.5003, + "step": 1206 + }, + { + "epoch": 1.9312, + "grad_norm": 1.0229524282335964, + "learning_rate": 3.3948233910671036e-06, + "loss": 0.5934, + "step": 1207 + }, + { + "epoch": 1.9327999999999999, + "grad_norm": 1.0464722207776467, + "learning_rate": 3.3860078646422894e-06, + "loss": 0.6611, + "step": 1208 + }, + { + "epoch": 1.9344000000000001, + "grad_norm": 1.272725949443715, + "learning_rate": 3.3771979354180343e-06, + "loss": 0.8157, + "step": 1209 + }, + { + "epoch": 1.936, + "grad_norm": 1.1164579964923933, + "learning_rate": 3.3683936339464957e-06, + "loss": 0.6552, + "step": 1210 + }, + { + "epoch": 1.9376, + "grad_norm": 1.0948215198483193, + "learning_rate": 3.359594990760313e-06, + "loss": 0.7712, + "step": 1211 + }, + { + "epoch": 1.9392, + "grad_norm": 0.9259793414482724, + "learning_rate": 3.3508020363725043e-06, + "loss": 0.4601, + "step": 1212 + }, + { + "epoch": 1.9407999999999999, + "grad_norm": 1.0148943617891273, + "learning_rate": 3.34201480127636e-06, + "loss": 0.577, + "step": 1213 + }, + { + "epoch": 1.9424000000000001, + "grad_norm": 1.0599539657119323, + "learning_rate": 3.333233315945333e-06, + "loss": 0.6929, + "step": 1214 + }, + { + "epoch": 1.944, + "grad_norm": 1.111548261387851, + "learning_rate": 3.324457610832942e-06, + "loss": 0.6392, + "step": 1215 + }, + { + "epoch": 1.9456, + "grad_norm": 0.9693411447002284, + "learning_rate": 3.315687716372655e-06, + "loss": 0.602, + "step": 1216 + }, + { + "epoch": 1.9472, + "grad_norm": 1.0491414415783453, + "learning_rate": 3.306923662977789e-06, + "loss": 0.6368, + "step": 1217 + }, + { + "epoch": 1.9487999999999999, + "grad_norm": 1.2755172089583906, + "learning_rate": 3.2981654810414128e-06, + "loss": 0.7871, + "step": 1218 + }, + { + "epoch": 1.9504000000000001, + "grad_norm": 1.1889427686928447, + "learning_rate": 3.2894132009362245e-06, + "loss": 0.7055, + "step": 1219 + }, + { + "epoch": 1.952, + "grad_norm": 1.0512550390583228, + "learning_rate": 3.280666853014457e-06, + "loss": 0.7371, + "step": 1220 + }, + { + "epoch": 1.9536, + "grad_norm": 1.1053457261087656, + "learning_rate": 3.271926467607774e-06, + "loss": 0.9201, + "step": 1221 + }, + { + "epoch": 1.9552, + "grad_norm": 0.764537316486806, + "learning_rate": 3.2631920750271594e-06, + "loss": 0.299, + "step": 1222 + }, + { + "epoch": 1.9567999999999999, + "grad_norm": 1.1013151028500678, + "learning_rate": 3.2544637055628135e-06, + "loss": 0.7675, + "step": 1223 + }, + { + "epoch": 1.9584000000000001, + "grad_norm": 1.1106418445394894, + "learning_rate": 3.2457413894840516e-06, + "loss": 0.7402, + "step": 1224 + }, + { + "epoch": 1.96, + "grad_norm": 0.9517371660120999, + "learning_rate": 3.2370251570391933e-06, + "loss": 0.5603, + "step": 1225 + }, + { + "epoch": 1.9616, + "grad_norm": 0.9750655566652322, + "learning_rate": 3.2283150384554642e-06, + "loss": 0.5366, + "step": 1226 + }, + { + "epoch": 1.9632, + "grad_norm": 1.0126524621674864, + "learning_rate": 3.219611063938883e-06, + "loss": 0.6454, + "step": 1227 + }, + { + "epoch": 1.9647999999999999, + "grad_norm": 1.0848702741790708, + "learning_rate": 3.210913263674166e-06, + "loss": 0.8955, + "step": 1228 + }, + { + "epoch": 1.9664000000000001, + "grad_norm": 1.2630036580277868, + "learning_rate": 3.2022216678246145e-06, + "loss": 0.8736, + "step": 1229 + }, + { + "epoch": 1.968, + "grad_norm": 0.9905793845038109, + "learning_rate": 3.193536306532013e-06, + "loss": 0.6744, + "step": 1230 + }, + { + "epoch": 1.9696, + "grad_norm": 1.1625027336896117, + "learning_rate": 3.184857209916528e-06, + "loss": 0.7322, + "step": 1231 + }, + { + "epoch": 1.9712, + "grad_norm": 0.9371978339570802, + "learning_rate": 3.1761844080765993e-06, + "loss": 0.5515, + "step": 1232 + }, + { + "epoch": 1.9727999999999999, + "grad_norm": 1.1838034658558134, + "learning_rate": 3.1675179310888344e-06, + "loss": 0.7449, + "step": 1233 + }, + { + "epoch": 1.9744000000000002, + "grad_norm": 1.0231905064327331, + "learning_rate": 3.15885780900791e-06, + "loss": 0.5697, + "step": 1234 + }, + { + "epoch": 1.976, + "grad_norm": 1.1284739741057463, + "learning_rate": 3.150204071866464e-06, + "loss": 0.7329, + "step": 1235 + }, + { + "epoch": 1.9776, + "grad_norm": 0.9501799272617544, + "learning_rate": 3.141556749674988e-06, + "loss": 0.5635, + "step": 1236 + }, + { + "epoch": 1.9792, + "grad_norm": 0.9645096482859683, + "learning_rate": 3.132915872421734e-06, + "loss": 0.5907, + "step": 1237 + }, + { + "epoch": 1.9808, + "grad_norm": 0.9657249403382168, + "learning_rate": 3.1242814700725977e-06, + "loss": 0.507, + "step": 1238 + }, + { + "epoch": 1.9824000000000002, + "grad_norm": 1.1876940629033004, + "learning_rate": 3.1156535725710224e-06, + "loss": 0.7031, + "step": 1239 + }, + { + "epoch": 1.984, + "grad_norm": 0.8677647270380617, + "learning_rate": 3.1070322098378925e-06, + "loss": 0.5107, + "step": 1240 + }, + { + "epoch": 1.9856, + "grad_norm": 1.0104654552308285, + "learning_rate": 3.0984174117714306e-06, + "loss": 0.6148, + "step": 1241 + }, + { + "epoch": 1.9872, + "grad_norm": 1.0403754482592862, + "learning_rate": 3.0898092082470943e-06, + "loss": 0.6376, + "step": 1242 + }, + { + "epoch": 1.9888, + "grad_norm": 0.9512295950257441, + "learning_rate": 3.081207629117472e-06, + "loss": 0.5417, + "step": 1243 + }, + { + "epoch": 1.9904, + "grad_norm": 1.0660226463461617, + "learning_rate": 3.0726127042121766e-06, + "loss": 0.6791, + "step": 1244 + }, + { + "epoch": 1.992, + "grad_norm": 1.0911812683238395, + "learning_rate": 3.064024463337747e-06, + "loss": 0.6689, + "step": 1245 + }, + { + "epoch": 1.9936, + "grad_norm": 1.096816618636096, + "learning_rate": 3.0554429362775417e-06, + "loss": 0.5493, + "step": 1246 + }, + { + "epoch": 1.9952, + "grad_norm": 1.0170905967027304, + "learning_rate": 3.046868152791638e-06, + "loss": 0.5411, + "step": 1247 + }, + { + "epoch": 1.9968, + "grad_norm": 1.1719500927471784, + "learning_rate": 3.038300142616723e-06, + "loss": 0.7876, + "step": 1248 + }, + { + "epoch": 1.9984, + "grad_norm": 1.0519813140461414, + "learning_rate": 3.0297389354659984e-06, + "loss": 0.5307, + "step": 1249 + }, + { + "epoch": 2.0, + "grad_norm": 0.9812973860553407, + "learning_rate": 3.021184561029071e-06, + "loss": 0.5712, + "step": 1250 + }, + { + "epoch": 2.0016, + "grad_norm": 1.298399167242736, + "learning_rate": 3.0126370489718537e-06, + "loss": 0.8351, + "step": 1251 + }, + { + "epoch": 2.0032, + "grad_norm": 1.0115570091366153, + "learning_rate": 3.0040964289364618e-06, + "loss": 0.5913, + "step": 1252 + }, + { + "epoch": 2.0048, + "grad_norm": 0.8641326830827756, + "learning_rate": 2.9955627305411074e-06, + "loss": 0.3653, + "step": 1253 + }, + { + "epoch": 2.0064, + "grad_norm": 0.730105823623971, + "learning_rate": 2.9870359833799994e-06, + "loss": 0.325, + "step": 1254 + }, + { + "epoch": 2.008, + "grad_norm": 1.0682839585337933, + "learning_rate": 2.978516217023243e-06, + "loss": 0.6459, + "step": 1255 + }, + { + "epoch": 2.0096, + "grad_norm": 1.0124894026880333, + "learning_rate": 2.97000346101673e-06, + "loss": 0.4041, + "step": 1256 + }, + { + "epoch": 2.0112, + "grad_norm": 0.9836866148081452, + "learning_rate": 2.9614977448820444e-06, + "loss": 0.6355, + "step": 1257 + }, + { + "epoch": 2.0128, + "grad_norm": 0.8881484875809239, + "learning_rate": 2.952999098116356e-06, + "loss": 0.4098, + "step": 1258 + }, + { + "epoch": 2.0144, + "grad_norm": 0.9034890708378922, + "learning_rate": 2.944507550192318e-06, + "loss": 0.4942, + "step": 1259 + }, + { + "epoch": 2.016, + "grad_norm": 1.080783083458099, + "learning_rate": 2.9360231305579645e-06, + "loss": 0.6983, + "step": 1260 + }, + { + "epoch": 2.0176, + "grad_norm": 1.0559845630378675, + "learning_rate": 2.9275458686366108e-06, + "loss": 0.6482, + "step": 1261 + }, + { + "epoch": 2.0192, + "grad_norm": 0.9043201051653957, + "learning_rate": 2.9190757938267477e-06, + "loss": 0.4773, + "step": 1262 + }, + { + "epoch": 2.0208, + "grad_norm": 0.9566088998528108, + "learning_rate": 2.9106129355019464e-06, + "loss": 0.4833, + "step": 1263 + }, + { + "epoch": 2.0224, + "grad_norm": 0.7878589615240992, + "learning_rate": 2.9021573230107436e-06, + "loss": 0.3616, + "step": 1264 + }, + { + "epoch": 2.024, + "grad_norm": 0.992823396551406, + "learning_rate": 2.8937089856765564e-06, + "loss": 0.4359, + "step": 1265 + }, + { + "epoch": 2.0256, + "grad_norm": 1.0795739393365553, + "learning_rate": 2.885267952797569e-06, + "loss": 0.686, + "step": 1266 + }, + { + "epoch": 2.0272, + "grad_norm": 1.0291256365245904, + "learning_rate": 2.876834253646631e-06, + "loss": 0.5252, + "step": 1267 + }, + { + "epoch": 2.0288, + "grad_norm": 0.7232351482379552, + "learning_rate": 2.8684079174711665e-06, + "loss": 0.3315, + "step": 1268 + }, + { + "epoch": 2.0304, + "grad_norm": 1.0232833436538669, + "learning_rate": 2.8599889734930548e-06, + "loss": 0.5851, + "step": 1269 + }, + { + "epoch": 2.032, + "grad_norm": 1.073593131217862, + "learning_rate": 2.8515774509085535e-06, + "loss": 0.6536, + "step": 1270 + }, + { + "epoch": 2.0336, + "grad_norm": 0.980618720389753, + "learning_rate": 2.8431733788881703e-06, + "loss": 0.4863, + "step": 1271 + }, + { + "epoch": 2.0352, + "grad_norm": 1.1942363095739834, + "learning_rate": 2.8347767865765828e-06, + "loss": 0.8438, + "step": 1272 + }, + { + "epoch": 2.0368, + "grad_norm": 1.0461300334530252, + "learning_rate": 2.826387703092528e-06, + "loss": 0.635, + "step": 1273 + }, + { + "epoch": 2.0384, + "grad_norm": 0.9422807925717059, + "learning_rate": 2.8180061575286995e-06, + "loss": 0.5464, + "step": 1274 + }, + { + "epoch": 2.04, + "grad_norm": 0.9678534430805344, + "learning_rate": 2.8096321789516557e-06, + "loss": 0.5721, + "step": 1275 + }, + { + "epoch": 2.0416, + "grad_norm": 1.0140477750718446, + "learning_rate": 2.8012657964017056e-06, + "loss": 0.573, + "step": 1276 + }, + { + "epoch": 2.0432, + "grad_norm": 0.9698324585025372, + "learning_rate": 2.792907038892823e-06, + "loss": 0.4951, + "step": 1277 + }, + { + "epoch": 2.0448, + "grad_norm": 0.9245838432325915, + "learning_rate": 2.784555935412538e-06, + "loss": 0.5445, + "step": 1278 + }, + { + "epoch": 2.0464, + "grad_norm": 0.8639851249600945, + "learning_rate": 2.77621251492183e-06, + "loss": 0.417, + "step": 1279 + }, + { + "epoch": 2.048, + "grad_norm": 0.8447457003746222, + "learning_rate": 2.7678768063550454e-06, + "loss": 0.3163, + "step": 1280 + }, + { + "epoch": 2.0496, + "grad_norm": 0.9076286544281497, + "learning_rate": 2.759548838619774e-06, + "loss": 0.5033, + "step": 1281 + }, + { + "epoch": 2.0512, + "grad_norm": 1.2366268110917877, + "learning_rate": 2.7512286405967726e-06, + "loss": 0.6157, + "step": 1282 + }, + { + "epoch": 2.0528, + "grad_norm": 0.9600144959233128, + "learning_rate": 2.742916241139843e-06, + "loss": 0.4675, + "step": 1283 + }, + { + "epoch": 2.0544, + "grad_norm": 0.8257950340804546, + "learning_rate": 2.7346116690757496e-06, + "loss": 0.393, + "step": 1284 + }, + { + "epoch": 2.056, + "grad_norm": 0.858074362985321, + "learning_rate": 2.726314953204111e-06, + "loss": 0.3556, + "step": 1285 + }, + { + "epoch": 2.0576, + "grad_norm": 1.1331858093637908, + "learning_rate": 2.718026122297297e-06, + "loss": 0.6141, + "step": 1286 + }, + { + "epoch": 2.0592, + "grad_norm": 0.9248025325714058, + "learning_rate": 2.7097452051003375e-06, + "loss": 0.5012, + "step": 1287 + }, + { + "epoch": 2.0608, + "grad_norm": 1.1921062119538375, + "learning_rate": 2.701472230330813e-06, + "loss": 0.5427, + "step": 1288 + }, + { + "epoch": 2.0624, + "grad_norm": 1.1033206461763625, + "learning_rate": 2.693207226678767e-06, + "loss": 0.7022, + "step": 1289 + }, + { + "epoch": 2.064, + "grad_norm": 0.8214308375608488, + "learning_rate": 2.684950222806596e-06, + "loss": 0.4938, + "step": 1290 + }, + { + "epoch": 2.0656, + "grad_norm": 0.9998145252573861, + "learning_rate": 2.676701247348951e-06, + "loss": 0.5156, + "step": 1291 + }, + { + "epoch": 2.0672, + "grad_norm": 1.0604065887698322, + "learning_rate": 2.6684603289126492e-06, + "loss": 0.8088, + "step": 1292 + }, + { + "epoch": 2.0688, + "grad_norm": 0.7965545543580673, + "learning_rate": 2.660227496076557e-06, + "loss": 0.3896, + "step": 1293 + }, + { + "epoch": 2.0704, + "grad_norm": 1.0123116241883714, + "learning_rate": 2.6520027773915075e-06, + "loss": 0.6165, + "step": 1294 + }, + { + "epoch": 2.072, + "grad_norm": 0.9406371451075433, + "learning_rate": 2.643786201380194e-06, + "loss": 0.5054, + "step": 1295 + }, + { + "epoch": 2.0736, + "grad_norm": 1.0095624346960441, + "learning_rate": 2.6355777965370665e-06, + "loss": 0.6304, + "step": 1296 + }, + { + "epoch": 2.0752, + "grad_norm": 1.0610164240831368, + "learning_rate": 2.627377591328245e-06, + "loss": 0.6221, + "step": 1297 + }, + { + "epoch": 2.0768, + "grad_norm": 1.0192376687862645, + "learning_rate": 2.6191856141914074e-06, + "loss": 0.5953, + "step": 1298 + }, + { + "epoch": 2.0784, + "grad_norm": 0.8391614462784376, + "learning_rate": 2.6110018935357005e-06, + "loss": 0.5315, + "step": 1299 + }, + { + "epoch": 2.08, + "grad_norm": 0.9016029727380366, + "learning_rate": 2.6028264577416418e-06, + "loss": 0.5358, + "step": 1300 + }, + { + "epoch": 2.0816, + "grad_norm": 0.8749253164294157, + "learning_rate": 2.594659335161008e-06, + "loss": 0.4995, + "step": 1301 + }, + { + "epoch": 2.0832, + "grad_norm": 0.8434346505653489, + "learning_rate": 2.586500554116757e-06, + "loss": 0.2961, + "step": 1302 + }, + { + "epoch": 2.0848, + "grad_norm": 0.7870803150945824, + "learning_rate": 2.578350142902909e-06, + "loss": 0.3278, + "step": 1303 + }, + { + "epoch": 2.0864, + "grad_norm": 1.1245913686835163, + "learning_rate": 2.570208129784466e-06, + "loss": 0.6175, + "step": 1304 + }, + { + "epoch": 2.088, + "grad_norm": 0.9544970911326556, + "learning_rate": 2.562074542997305e-06, + "loss": 0.4934, + "step": 1305 + }, + { + "epoch": 2.0896, + "grad_norm": 0.8512076363328573, + "learning_rate": 2.5539494107480746e-06, + "loss": 0.4864, + "step": 1306 + }, + { + "epoch": 2.0912, + "grad_norm": 0.8888992444824483, + "learning_rate": 2.545832761214112e-06, + "loss": 0.309, + "step": 1307 + }, + { + "epoch": 2.0928, + "grad_norm": 0.9266980416401082, + "learning_rate": 2.5377246225433306e-06, + "loss": 0.3737, + "step": 1308 + }, + { + "epoch": 2.0944, + "grad_norm": 0.9592955489559961, + "learning_rate": 2.529625022854133e-06, + "loss": 0.5452, + "step": 1309 + }, + { + "epoch": 2.096, + "grad_norm": 0.9548284333007332, + "learning_rate": 2.5215339902353097e-06, + "loss": 0.488, + "step": 1310 + }, + { + "epoch": 2.0976, + "grad_norm": 0.9815663671906946, + "learning_rate": 2.513451552745936e-06, + "loss": 0.5634, + "step": 1311 + }, + { + "epoch": 2.0992, + "grad_norm": 0.9452581004519367, + "learning_rate": 2.505377738415286e-06, + "loss": 0.5304, + "step": 1312 + }, + { + "epoch": 2.1008, + "grad_norm": 1.0235311267996225, + "learning_rate": 2.4973125752427243e-06, + "loss": 0.7051, + "step": 1313 + }, + { + "epoch": 2.1024, + "grad_norm": 0.8689338688886353, + "learning_rate": 2.4892560911976167e-06, + "loss": 0.3737, + "step": 1314 + }, + { + "epoch": 2.104, + "grad_norm": 0.7522714248452472, + "learning_rate": 2.481208314219233e-06, + "loss": 0.3891, + "step": 1315 + }, + { + "epoch": 2.1056, + "grad_norm": 0.9506359372253496, + "learning_rate": 2.4731692722166408e-06, + "loss": 0.4796, + "step": 1316 + }, + { + "epoch": 2.1072, + "grad_norm": 0.9711766706896126, + "learning_rate": 2.4651389930686226e-06, + "loss": 0.6058, + "step": 1317 + }, + { + "epoch": 2.1088, + "grad_norm": 0.9037619230148777, + "learning_rate": 2.457117504623565e-06, + "loss": 0.4974, + "step": 1318 + }, + { + "epoch": 2.1104, + "grad_norm": 1.0168956995397698, + "learning_rate": 2.4491048346993756e-06, + "loss": 0.6248, + "step": 1319 + }, + { + "epoch": 2.112, + "grad_norm": 0.6190604609192364, + "learning_rate": 2.4411010110833783e-06, + "loss": 0.245, + "step": 1320 + }, + { + "epoch": 2.1136, + "grad_norm": 0.8802450641781031, + "learning_rate": 2.433106061532214e-06, + "loss": 0.3597, + "step": 1321 + }, + { + "epoch": 2.1152, + "grad_norm": 0.8716063847557931, + "learning_rate": 2.4251200137717545e-06, + "loss": 0.3304, + "step": 1322 + }, + { + "epoch": 2.1168, + "grad_norm": 0.9272577022059759, + "learning_rate": 2.4171428954969995e-06, + "loss": 0.5488, + "step": 1323 + }, + { + "epoch": 2.1184, + "grad_norm": 1.3417573867035006, + "learning_rate": 2.4091747343719828e-06, + "loss": 0.6259, + "step": 1324 + }, + { + "epoch": 2.12, + "grad_norm": 0.8949851079943691, + "learning_rate": 2.401215558029671e-06, + "loss": 0.4687, + "step": 1325 + }, + { + "epoch": 2.1216, + "grad_norm": 0.9844009107288849, + "learning_rate": 2.3932653940718784e-06, + "loss": 0.4502, + "step": 1326 + }, + { + "epoch": 2.1232, + "grad_norm": 0.9943279358277654, + "learning_rate": 2.3853242700691594e-06, + "loss": 0.4865, + "step": 1327 + }, + { + "epoch": 2.1248, + "grad_norm": 0.8693025852066528, + "learning_rate": 2.3773922135607217e-06, + "loss": 0.3432, + "step": 1328 + }, + { + "epoch": 2.1264, + "grad_norm": 1.0288277841368596, + "learning_rate": 2.3694692520543293e-06, + "loss": 0.5083, + "step": 1329 + }, + { + "epoch": 2.128, + "grad_norm": 0.975241454721127, + "learning_rate": 2.3615554130262003e-06, + "loss": 0.5066, + "step": 1330 + }, + { + "epoch": 2.1296, + "grad_norm": 1.0101395736110435, + "learning_rate": 2.3536507239209223e-06, + "loss": 0.4061, + "step": 1331 + }, + { + "epoch": 2.1312, + "grad_norm": 0.8846159887382024, + "learning_rate": 2.3457552121513455e-06, + "loss": 0.4469, + "step": 1332 + }, + { + "epoch": 2.1328, + "grad_norm": 1.1805939060907864, + "learning_rate": 2.337868905098499e-06, + "loss": 0.753, + "step": 1333 + }, + { + "epoch": 2.1344, + "grad_norm": 0.950570922859334, + "learning_rate": 2.329991830111492e-06, + "loss": 0.4998, + "step": 1334 + }, + { + "epoch": 2.136, + "grad_norm": 1.1325339806766936, + "learning_rate": 2.32212401450741e-06, + "loss": 0.6582, + "step": 1335 + }, + { + "epoch": 2.1376, + "grad_norm": 1.1345026541207857, + "learning_rate": 2.3142654855712353e-06, + "loss": 0.6846, + "step": 1336 + }, + { + "epoch": 2.1391999999999998, + "grad_norm": 0.9142443518199547, + "learning_rate": 2.3064162705557387e-06, + "loss": 0.4974, + "step": 1337 + }, + { + "epoch": 2.1408, + "grad_norm": 1.2171039149029688, + "learning_rate": 2.2985763966813963e-06, + "loss": 0.6297, + "step": 1338 + }, + { + "epoch": 2.1424, + "grad_norm": 1.103528686330069, + "learning_rate": 2.2907458911362885e-06, + "loss": 0.5007, + "step": 1339 + }, + { + "epoch": 2.144, + "grad_norm": 0.98275498808103, + "learning_rate": 2.2829247810760023e-06, + "loss": 0.604, + "step": 1340 + }, + { + "epoch": 2.1456, + "grad_norm": 1.14920374586163, + "learning_rate": 2.275113093623551e-06, + "loss": 0.6044, + "step": 1341 + }, + { + "epoch": 2.1471999999999998, + "grad_norm": 0.8895248139503149, + "learning_rate": 2.2673108558692603e-06, + "loss": 0.5106, + "step": 1342 + }, + { + "epoch": 2.1488, + "grad_norm": 1.0383979371709695, + "learning_rate": 2.259518094870693e-06, + "loss": 0.6747, + "step": 1343 + }, + { + "epoch": 2.1504, + "grad_norm": 0.9837990098662202, + "learning_rate": 2.251734837652547e-06, + "loss": 0.5293, + "step": 1344 + }, + { + "epoch": 2.152, + "grad_norm": 0.9162577478720801, + "learning_rate": 2.243961111206555e-06, + "loss": 0.5038, + "step": 1345 + }, + { + "epoch": 2.1536, + "grad_norm": 0.9406323194771262, + "learning_rate": 2.236196942491407e-06, + "loss": 0.5839, + "step": 1346 + }, + { + "epoch": 2.1552, + "grad_norm": 0.9168585279393038, + "learning_rate": 2.228442358432638e-06, + "loss": 0.5146, + "step": 1347 + }, + { + "epoch": 2.1568, + "grad_norm": 0.8734762641042678, + "learning_rate": 2.2206973859225518e-06, + "loss": 0.4854, + "step": 1348 + }, + { + "epoch": 2.1584, + "grad_norm": 0.9192358210274748, + "learning_rate": 2.2129620518201184e-06, + "loss": 0.5738, + "step": 1349 + }, + { + "epoch": 2.16, + "grad_norm": 0.9260606627189742, + "learning_rate": 2.2052363829508776e-06, + "loss": 0.5088, + "step": 1350 + }, + { + "epoch": 2.1616, + "grad_norm": 0.9875829468141519, + "learning_rate": 2.1975204061068594e-06, + "loss": 0.6714, + "step": 1351 + }, + { + "epoch": 2.1632, + "grad_norm": 1.009298443675721, + "learning_rate": 2.189814148046473e-06, + "loss": 0.6083, + "step": 1352 + }, + { + "epoch": 2.1648, + "grad_norm": 0.8948995116074715, + "learning_rate": 2.182117635494431e-06, + "loss": 0.4535, + "step": 1353 + }, + { + "epoch": 2.1664, + "grad_norm": 0.8766303225848553, + "learning_rate": 2.1744308951416483e-06, + "loss": 0.5383, + "step": 1354 + }, + { + "epoch": 2.168, + "grad_norm": 0.8576291091780098, + "learning_rate": 2.1667539536451455e-06, + "loss": 0.4832, + "step": 1355 + }, + { + "epoch": 2.1696, + "grad_norm": 0.8571069713742667, + "learning_rate": 2.1590868376279693e-06, + "loss": 0.4328, + "step": 1356 + }, + { + "epoch": 2.1712, + "grad_norm": 1.0630673088432463, + "learning_rate": 2.151429573679084e-06, + "loss": 0.6379, + "step": 1357 + }, + { + "epoch": 2.1728, + "grad_norm": 1.0078714612201245, + "learning_rate": 2.1437821883532956e-06, + "loss": 0.3368, + "step": 1358 + }, + { + "epoch": 2.1744, + "grad_norm": 1.07940454825296, + "learning_rate": 2.136144708171145e-06, + "loss": 0.5254, + "step": 1359 + }, + { + "epoch": 2.176, + "grad_norm": 1.0133271267795005, + "learning_rate": 2.128517159618827e-06, + "loss": 0.7062, + "step": 1360 + }, + { + "epoch": 2.1776, + "grad_norm": 0.8300476112126882, + "learning_rate": 2.1208995691480947e-06, + "loss": 0.3922, + "step": 1361 + }, + { + "epoch": 2.1792, + "grad_norm": 0.7446518783717817, + "learning_rate": 2.1132919631761637e-06, + "loss": 0.3887, + "step": 1362 + }, + { + "epoch": 2.1808, + "grad_norm": 0.9550817643897436, + "learning_rate": 2.1056943680856286e-06, + "loss": 0.5336, + "step": 1363 + }, + { + "epoch": 2.1824, + "grad_norm": 0.9793688986781, + "learning_rate": 2.098106810224362e-06, + "loss": 0.3602, + "step": 1364 + }, + { + "epoch": 2.184, + "grad_norm": 1.1524472163611443, + "learning_rate": 2.0905293159054315e-06, + "loss": 0.5893, + "step": 1365 + }, + { + "epoch": 2.1856, + "grad_norm": 0.8804131590200853, + "learning_rate": 2.0829619114070068e-06, + "loss": 0.5328, + "step": 1366 + }, + { + "epoch": 2.1872, + "grad_norm": 1.0627916866142488, + "learning_rate": 2.075404622972261e-06, + "loss": 0.5919, + "step": 1367 + }, + { + "epoch": 2.1888, + "grad_norm": 1.004042558792755, + "learning_rate": 2.0678574768092926e-06, + "loss": 0.5994, + "step": 1368 + }, + { + "epoch": 2.1904, + "grad_norm": 1.1220282135212183, + "learning_rate": 2.0603204990910195e-06, + "loss": 0.6346, + "step": 1369 + }, + { + "epoch": 2.192, + "grad_norm": 1.0007162097947635, + "learning_rate": 2.0527937159551044e-06, + "loss": 0.5406, + "step": 1370 + }, + { + "epoch": 2.1936, + "grad_norm": 1.047637556299616, + "learning_rate": 2.0452771535038518e-06, + "loss": 0.6951, + "step": 1371 + }, + { + "epoch": 2.1952, + "grad_norm": 0.8857741729314739, + "learning_rate": 2.03777083780412e-06, + "loss": 0.4623, + "step": 1372 + }, + { + "epoch": 2.1968, + "grad_norm": 1.0427427424808937, + "learning_rate": 2.030274794887237e-06, + "loss": 0.6872, + "step": 1373 + }, + { + "epoch": 2.1984, + "grad_norm": 0.7469896916379233, + "learning_rate": 2.0227890507488993e-06, + "loss": 0.3957, + "step": 1374 + }, + { + "epoch": 2.2, + "grad_norm": 0.9920019294995017, + "learning_rate": 2.0153136313490945e-06, + "loss": 0.5796, + "step": 1375 + }, + { + "epoch": 2.2016, + "grad_norm": 0.8442658679814324, + "learning_rate": 2.0078485626120015e-06, + "loss": 0.4201, + "step": 1376 + }, + { + "epoch": 2.2032, + "grad_norm": 1.0650446766943666, + "learning_rate": 2.000393870425904e-06, + "loss": 0.6618, + "step": 1377 + }, + { + "epoch": 2.2048, + "grad_norm": 1.2360614868755886, + "learning_rate": 1.9929495806431024e-06, + "loss": 0.69, + "step": 1378 + }, + { + "epoch": 2.2064, + "grad_norm": 0.9834614831106662, + "learning_rate": 1.985515719079819e-06, + "loss": 0.5347, + "step": 1379 + }, + { + "epoch": 2.208, + "grad_norm": 0.9563403918912294, + "learning_rate": 1.978092311516116e-06, + "loss": 0.573, + "step": 1380 + }, + { + "epoch": 2.2096, + "grad_norm": 0.8929863110801631, + "learning_rate": 1.9706793836957964e-06, + "loss": 0.4499, + "step": 1381 + }, + { + "epoch": 2.2112, + "grad_norm": 0.9649251196073643, + "learning_rate": 1.963276961326326e-06, + "loss": 0.5692, + "step": 1382 + }, + { + "epoch": 2.2128, + "grad_norm": 0.9964642188265687, + "learning_rate": 1.955885070078737e-06, + "loss": 0.5104, + "step": 1383 + }, + { + "epoch": 2.2144, + "grad_norm": 0.8444129388269784, + "learning_rate": 1.948503735587537e-06, + "loss": 0.4842, + "step": 1384 + }, + { + "epoch": 2.216, + "grad_norm": 1.0246292975373192, + "learning_rate": 1.9411329834506286e-06, + "loss": 0.6456, + "step": 1385 + }, + { + "epoch": 2.2176, + "grad_norm": 0.9447698744612065, + "learning_rate": 1.9337728392292104e-06, + "loss": 0.5896, + "step": 1386 + }, + { + "epoch": 2.2192, + "grad_norm": 0.9486087997092717, + "learning_rate": 1.926423328447698e-06, + "loss": 0.4815, + "step": 1387 + }, + { + "epoch": 2.2208, + "grad_norm": 0.9007389003222603, + "learning_rate": 1.919084476593631e-06, + "loss": 0.4841, + "step": 1388 + }, + { + "epoch": 2.2224, + "grad_norm": 1.1009667113474817, + "learning_rate": 1.9117563091175795e-06, + "loss": 0.618, + "step": 1389 + }, + { + "epoch": 2.224, + "grad_norm": 0.8885485098677216, + "learning_rate": 1.904438851433068e-06, + "loss": 0.4859, + "step": 1390 + }, + { + "epoch": 2.2256, + "grad_norm": 0.9007315166212934, + "learning_rate": 1.897132128916474e-06, + "loss": 0.5454, + "step": 1391 + }, + { + "epoch": 2.2272, + "grad_norm": 0.9547852523963741, + "learning_rate": 1.8898361669069497e-06, + "loss": 0.5328, + "step": 1392 + }, + { + "epoch": 2.2288, + "grad_norm": 1.0780777940516166, + "learning_rate": 1.8825509907063328e-06, + "loss": 0.5198, + "step": 1393 + }, + { + "epoch": 2.2304, + "grad_norm": 1.104429607731545, + "learning_rate": 1.87527662557905e-06, + "loss": 0.7858, + "step": 1394 + }, + { + "epoch": 2.232, + "grad_norm": 0.9146270303412359, + "learning_rate": 1.8680130967520433e-06, + "loss": 0.5381, + "step": 1395 + }, + { + "epoch": 2.2336, + "grad_norm": 0.9703383255654834, + "learning_rate": 1.8607604294146685e-06, + "loss": 0.4282, + "step": 1396 + }, + { + "epoch": 2.2352, + "grad_norm": 0.8865861347723203, + "learning_rate": 1.8535186487186213e-06, + "loss": 0.4508, + "step": 1397 + }, + { + "epoch": 2.2368, + "grad_norm": 0.9067456819974662, + "learning_rate": 1.8462877797778367e-06, + "loss": 0.589, + "step": 1398 + }, + { + "epoch": 2.2384, + "grad_norm": 1.012852254845857, + "learning_rate": 1.8390678476684143e-06, + "loss": 0.6066, + "step": 1399 + }, + { + "epoch": 2.24, + "grad_norm": 0.8746088320986213, + "learning_rate": 1.831858877428524e-06, + "loss": 0.5811, + "step": 1400 + }, + { + "epoch": 2.2416, + "grad_norm": 0.7862613026231213, + "learning_rate": 1.8246608940583166e-06, + "loss": 0.4263, + "step": 1401 + }, + { + "epoch": 2.2432, + "grad_norm": 0.8646940392936836, + "learning_rate": 1.8174739225198485e-06, + "loss": 0.4494, + "step": 1402 + }, + { + "epoch": 2.2448, + "grad_norm": 1.024426874039442, + "learning_rate": 1.8102979877369808e-06, + "loss": 0.5053, + "step": 1403 + }, + { + "epoch": 2.2464, + "grad_norm": 0.9693481916199099, + "learning_rate": 1.8031331145953047e-06, + "loss": 0.5181, + "step": 1404 + }, + { + "epoch": 2.248, + "grad_norm": 1.01144312594075, + "learning_rate": 1.7959793279420507e-06, + "loss": 0.4639, + "step": 1405 + }, + { + "epoch": 2.2496, + "grad_norm": 1.1390245892039497, + "learning_rate": 1.7888366525859968e-06, + "loss": 0.726, + "step": 1406 + }, + { + "epoch": 2.2512, + "grad_norm": 0.9627899078520802, + "learning_rate": 1.781705113297396e-06, + "loss": 0.5431, + "step": 1407 + }, + { + "epoch": 2.2528, + "grad_norm": 1.069626037532042, + "learning_rate": 1.7745847348078742e-06, + "loss": 0.4984, + "step": 1408 + }, + { + "epoch": 2.2544, + "grad_norm": 0.8490098135377564, + "learning_rate": 1.7674755418103578e-06, + "loss": 0.4637, + "step": 1409 + }, + { + "epoch": 2.2560000000000002, + "grad_norm": 0.8947559502653272, + "learning_rate": 1.7603775589589821e-06, + "loss": 0.4916, + "step": 1410 + }, + { + "epoch": 2.2576, + "grad_norm": 0.8675150620751441, + "learning_rate": 1.7532908108690038e-06, + "loss": 0.5049, + "step": 1411 + }, + { + "epoch": 2.2592, + "grad_norm": 0.8463471938574573, + "learning_rate": 1.7462153221167222e-06, + "loss": 0.464, + "step": 1412 + }, + { + "epoch": 2.2608, + "grad_norm": 0.9755081321432716, + "learning_rate": 1.7391511172393849e-06, + "loss": 0.4378, + "step": 1413 + }, + { + "epoch": 2.2624, + "grad_norm": 0.8960837478164718, + "learning_rate": 1.7320982207351128e-06, + "loss": 0.4434, + "step": 1414 + }, + { + "epoch": 2.2640000000000002, + "grad_norm": 0.8639340206206791, + "learning_rate": 1.7250566570628103e-06, + "loss": 0.4831, + "step": 1415 + }, + { + "epoch": 2.2656, + "grad_norm": 0.9774904991221383, + "learning_rate": 1.7180264506420746e-06, + "loss": 0.5418, + "step": 1416 + }, + { + "epoch": 2.2672, + "grad_norm": 1.0198119590905121, + "learning_rate": 1.7110076258531244e-06, + "loss": 0.5515, + "step": 1417 + }, + { + "epoch": 2.2688, + "grad_norm": 1.0248449753921995, + "learning_rate": 1.7040002070367006e-06, + "loss": 0.7002, + "step": 1418 + }, + { + "epoch": 2.2704, + "grad_norm": 0.9181124434613644, + "learning_rate": 1.6970042184939943e-06, + "loss": 0.5167, + "step": 1419 + }, + { + "epoch": 2.2720000000000002, + "grad_norm": 0.843391244739533, + "learning_rate": 1.6900196844865575e-06, + "loss": 0.3305, + "step": 1420 + }, + { + "epoch": 2.2736, + "grad_norm": 1.0176184370574133, + "learning_rate": 1.683046629236213e-06, + "loss": 0.5698, + "step": 1421 + }, + { + "epoch": 2.2752, + "grad_norm": 0.7801820069544, + "learning_rate": 1.6760850769249837e-06, + "loss": 0.3833, + "step": 1422 + }, + { + "epoch": 2.2768, + "grad_norm": 0.9413475260075757, + "learning_rate": 1.669135051694994e-06, + "loss": 0.5807, + "step": 1423 + }, + { + "epoch": 2.2784, + "grad_norm": 0.8650839944803358, + "learning_rate": 1.662196577648398e-06, + "loss": 0.4929, + "step": 1424 + }, + { + "epoch": 2.2800000000000002, + "grad_norm": 0.7284311750394808, + "learning_rate": 1.6552696788472921e-06, + "loss": 0.2866, + "step": 1425 + }, + { + "epoch": 2.2816, + "grad_norm": 0.7814361283281405, + "learning_rate": 1.6483543793136247e-06, + "loss": 0.4675, + "step": 1426 + }, + { + "epoch": 2.2832, + "grad_norm": 0.8677573887775226, + "learning_rate": 1.6414507030291249e-06, + "loss": 0.2955, + "step": 1427 + }, + { + "epoch": 2.2848, + "grad_norm": 0.988728415107249, + "learning_rate": 1.6345586739352105e-06, + "loss": 0.3697, + "step": 1428 + }, + { + "epoch": 2.2864, + "grad_norm": 0.9980071551471438, + "learning_rate": 1.6276783159329095e-06, + "loss": 0.4759, + "step": 1429 + }, + { + "epoch": 2.288, + "grad_norm": 0.8668333184579307, + "learning_rate": 1.6208096528827717e-06, + "loss": 0.4137, + "step": 1430 + }, + { + "epoch": 2.2896, + "grad_norm": 1.0179803322756729, + "learning_rate": 1.6139527086047929e-06, + "loss": 0.5741, + "step": 1431 + }, + { + "epoch": 2.2912, + "grad_norm": 1.074098748460684, + "learning_rate": 1.6071075068783303e-06, + "loss": 0.7954, + "step": 1432 + }, + { + "epoch": 2.2928, + "grad_norm": 0.8968905402179511, + "learning_rate": 1.600274071442014e-06, + "loss": 0.4845, + "step": 1433 + }, + { + "epoch": 2.2944, + "grad_norm": 0.9744662666012526, + "learning_rate": 1.5934524259936757e-06, + "loss": 0.508, + "step": 1434 + }, + { + "epoch": 2.296, + "grad_norm": 0.8743790885453947, + "learning_rate": 1.5866425941902524e-06, + "loss": 0.4649, + "step": 1435 + }, + { + "epoch": 2.2976, + "grad_norm": 0.9383120061816762, + "learning_rate": 1.5798445996477219e-06, + "loss": 0.5626, + "step": 1436 + }, + { + "epoch": 2.2992, + "grad_norm": 0.8798660620549341, + "learning_rate": 1.573058465941002e-06, + "loss": 0.4186, + "step": 1437 + }, + { + "epoch": 2.3008, + "grad_norm": 0.8984768664510973, + "learning_rate": 1.5662842166038844e-06, + "loss": 0.531, + "step": 1438 + }, + { + "epoch": 2.3024, + "grad_norm": 1.055502814148748, + "learning_rate": 1.5595218751289465e-06, + "loss": 0.5181, + "step": 1439 + }, + { + "epoch": 2.304, + "grad_norm": 1.0372758022988147, + "learning_rate": 1.5527714649674641e-06, + "loss": 0.3988, + "step": 1440 + }, + { + "epoch": 2.3056, + "grad_norm": 0.9845550301675416, + "learning_rate": 1.5460330095293447e-06, + "loss": 0.5392, + "step": 1441 + }, + { + "epoch": 2.3072, + "grad_norm": 1.1404384837233654, + "learning_rate": 1.5393065321830292e-06, + "loss": 0.7446, + "step": 1442 + }, + { + "epoch": 2.3088, + "grad_norm": 1.0661318826980928, + "learning_rate": 1.5325920562554259e-06, + "loss": 0.5452, + "step": 1443 + }, + { + "epoch": 2.3104, + "grad_norm": 0.9794322474791779, + "learning_rate": 1.5258896050318217e-06, + "loss": 0.6498, + "step": 1444 + }, + { + "epoch": 2.312, + "grad_norm": 0.8638692312751757, + "learning_rate": 1.5191992017557994e-06, + "loss": 0.4895, + "step": 1445 + }, + { + "epoch": 2.3136, + "grad_norm": 0.8168962693699611, + "learning_rate": 1.512520869629165e-06, + "loss": 0.436, + "step": 1446 + }, + { + "epoch": 2.3152, + "grad_norm": 0.8752909244562628, + "learning_rate": 1.5058546318118583e-06, + "loss": 0.5138, + "step": 1447 + }, + { + "epoch": 2.3168, + "grad_norm": 0.8294668197064706, + "learning_rate": 1.4992005114218805e-06, + "loss": 0.4432, + "step": 1448 + }, + { + "epoch": 2.3184, + "grad_norm": 0.8315647849304361, + "learning_rate": 1.4925585315352108e-06, + "loss": 0.4334, + "step": 1449 + }, + { + "epoch": 2.32, + "grad_norm": 0.9879965507006222, + "learning_rate": 1.485928715185721e-06, + "loss": 0.5348, + "step": 1450 + }, + { + "epoch": 2.3216, + "grad_norm": 0.9830872092995894, + "learning_rate": 1.4793110853651077e-06, + "loss": 0.5718, + "step": 1451 + }, + { + "epoch": 2.3232, + "grad_norm": 1.0264402552782776, + "learning_rate": 1.472705665022799e-06, + "loss": 0.6643, + "step": 1452 + }, + { + "epoch": 2.3247999999999998, + "grad_norm": 0.7763377515846339, + "learning_rate": 1.4661124770658857e-06, + "loss": 0.3764, + "step": 1453 + }, + { + "epoch": 2.3264, + "grad_norm": 0.7781477366631595, + "learning_rate": 1.459531544359038e-06, + "loss": 0.442, + "step": 1454 + }, + { + "epoch": 2.328, + "grad_norm": 0.8469686935626068, + "learning_rate": 1.4529628897244214e-06, + "loss": 0.4833, + "step": 1455 + }, + { + "epoch": 2.3296, + "grad_norm": 1.0070940011655571, + "learning_rate": 1.4464065359416274e-06, + "loss": 0.6041, + "step": 1456 + }, + { + "epoch": 2.3312, + "grad_norm": 0.9647632584518745, + "learning_rate": 1.4398625057475845e-06, + "loss": 0.6421, + "step": 1457 + }, + { + "epoch": 2.3327999999999998, + "grad_norm": 1.0280703858494444, + "learning_rate": 1.4333308218364861e-06, + "loss": 0.6827, + "step": 1458 + }, + { + "epoch": 2.3344, + "grad_norm": 0.9011826247246635, + "learning_rate": 1.4268115068597122e-06, + "loss": 0.4688, + "step": 1459 + }, + { + "epoch": 2.336, + "grad_norm": 1.0505583423555425, + "learning_rate": 1.4203045834257418e-06, + "loss": 0.5182, + "step": 1460 + }, + { + "epoch": 2.3376, + "grad_norm": 0.8863923270697123, + "learning_rate": 1.4138100741000888e-06, + "loss": 0.5647, + "step": 1461 + }, + { + "epoch": 2.3392, + "grad_norm": 0.9505037684676528, + "learning_rate": 1.4073280014052077e-06, + "loss": 0.5377, + "step": 1462 + }, + { + "epoch": 2.3407999999999998, + "grad_norm": 0.931224401502142, + "learning_rate": 1.4008583878204297e-06, + "loss": 0.4589, + "step": 1463 + }, + { + "epoch": 2.3424, + "grad_norm": 0.7971037678282673, + "learning_rate": 1.3944012557818793e-06, + "loss": 0.4005, + "step": 1464 + }, + { + "epoch": 2.344, + "grad_norm": 1.0291454845860915, + "learning_rate": 1.3879566276823896e-06, + "loss": 0.6464, + "step": 1465 + }, + { + "epoch": 2.3456, + "grad_norm": 0.9351743241184531, + "learning_rate": 1.3815245258714393e-06, + "loss": 0.525, + "step": 1466 + }, + { + "epoch": 2.3472, + "grad_norm": 0.9228173981569134, + "learning_rate": 1.3751049726550587e-06, + "loss": 0.3739, + "step": 1467 + }, + { + "epoch": 2.3487999999999998, + "grad_norm": 0.7941430580623614, + "learning_rate": 1.368697990295766e-06, + "loss": 0.3716, + "step": 1468 + }, + { + "epoch": 2.3504, + "grad_norm": 0.8233785223510821, + "learning_rate": 1.3623036010124845e-06, + "loss": 0.4428, + "step": 1469 + }, + { + "epoch": 2.352, + "grad_norm": 0.8634769007152763, + "learning_rate": 1.3559218269804624e-06, + "loss": 0.3871, + "step": 1470 + }, + { + "epoch": 2.3536, + "grad_norm": 0.9427682415927455, + "learning_rate": 1.3495526903312029e-06, + "loss": 0.5425, + "step": 1471 + }, + { + "epoch": 2.3552, + "grad_norm": 1.0349456210820542, + "learning_rate": 1.3431962131523796e-06, + "loss": 0.4696, + "step": 1472 + }, + { + "epoch": 2.3568, + "grad_norm": 1.0911039835402547, + "learning_rate": 1.3368524174877679e-06, + "loss": 0.5771, + "step": 1473 + }, + { + "epoch": 2.3584, + "grad_norm": 0.7968514416140384, + "learning_rate": 1.330521325337164e-06, + "loss": 0.3959, + "step": 1474 + }, + { + "epoch": 2.36, + "grad_norm": 0.8845851692959773, + "learning_rate": 1.3242029586563054e-06, + "loss": 0.4718, + "step": 1475 + }, + { + "epoch": 2.3616, + "grad_norm": 0.7977987843392154, + "learning_rate": 1.3178973393568055e-06, + "loss": 0.3798, + "step": 1476 + }, + { + "epoch": 2.3632, + "grad_norm": 1.032462837463176, + "learning_rate": 1.3116044893060637e-06, + "loss": 0.4821, + "step": 1477 + }, + { + "epoch": 2.3648, + "grad_norm": 0.9211348321427932, + "learning_rate": 1.3053244303272022e-06, + "loss": 0.5409, + "step": 1478 + }, + { + "epoch": 2.3664, + "grad_norm": 1.1259103399975388, + "learning_rate": 1.2990571841989796e-06, + "loss": 0.6565, + "step": 1479 + }, + { + "epoch": 2.368, + "grad_norm": 0.8419940597978801, + "learning_rate": 1.2928027726557257e-06, + "loss": 0.5082, + "step": 1480 + }, + { + "epoch": 2.3696, + "grad_norm": 0.9036754191302891, + "learning_rate": 1.2865612173872577e-06, + "loss": 0.4981, + "step": 1481 + }, + { + "epoch": 2.3712, + "grad_norm": 0.9593716393505523, + "learning_rate": 1.2803325400388095e-06, + "loss": 0.562, + "step": 1482 + }, + { + "epoch": 2.3728, + "grad_norm": 1.050087787959598, + "learning_rate": 1.2741167622109557e-06, + "loss": 0.6101, + "step": 1483 + }, + { + "epoch": 2.3744, + "grad_norm": 0.7985720428533846, + "learning_rate": 1.2679139054595335e-06, + "loss": 0.3355, + "step": 1484 + }, + { + "epoch": 2.376, + "grad_norm": 0.9576163964466468, + "learning_rate": 1.261723991295576e-06, + "loss": 0.5638, + "step": 1485 + }, + { + "epoch": 2.3776, + "grad_norm": 0.6272081710935784, + "learning_rate": 1.2555470411852262e-06, + "loss": 0.2753, + "step": 1486 + }, + { + "epoch": 2.3792, + "grad_norm": 1.0350813435280268, + "learning_rate": 1.2493830765496724e-06, + "loss": 0.5176, + "step": 1487 + }, + { + "epoch": 2.3808, + "grad_norm": 1.0808997099057434, + "learning_rate": 1.2432321187650726e-06, + "loss": 0.643, + "step": 1488 + }, + { + "epoch": 2.3824, + "grad_norm": 0.8941009523873167, + "learning_rate": 1.237094189162471e-06, + "loss": 0.4858, + "step": 1489 + }, + { + "epoch": 2.384, + "grad_norm": 1.1017321220132814, + "learning_rate": 1.2309693090277392e-06, + "loss": 0.611, + "step": 1490 + }, + { + "epoch": 2.3856, + "grad_norm": 0.8932461876462147, + "learning_rate": 1.2248574996014872e-06, + "loss": 0.5659, + "step": 1491 + }, + { + "epoch": 2.3872, + "grad_norm": 0.9925122957434063, + "learning_rate": 1.218758782079001e-06, + "loss": 0.4996, + "step": 1492 + }, + { + "epoch": 2.3888, + "grad_norm": 0.856964661362695, + "learning_rate": 1.2126731776101657e-06, + "loss": 0.4799, + "step": 1493 + }, + { + "epoch": 2.3904, + "grad_norm": 0.9607934892127727, + "learning_rate": 1.2066007072993856e-06, + "loss": 0.6064, + "step": 1494 + }, + { + "epoch": 2.392, + "grad_norm": 0.9857229283372475, + "learning_rate": 1.2005413922055247e-06, + "loss": 0.5506, + "step": 1495 + }, + { + "epoch": 2.3936, + "grad_norm": 1.3128733793715772, + "learning_rate": 1.194495253341818e-06, + "loss": 0.3863, + "step": 1496 + }, + { + "epoch": 2.3952, + "grad_norm": 0.9698894912499546, + "learning_rate": 1.1884623116758121e-06, + "loss": 0.4183, + "step": 1497 + }, + { + "epoch": 2.3968, + "grad_norm": 0.9358455370415274, + "learning_rate": 1.1824425881292846e-06, + "loss": 0.5372, + "step": 1498 + }, + { + "epoch": 2.3984, + "grad_norm": 0.8346624843186394, + "learning_rate": 1.1764361035781718e-06, + "loss": 0.5429, + "step": 1499 + }, + { + "epoch": 2.4, + "grad_norm": 0.7409267284022, + "learning_rate": 1.170442878852503e-06, + "loss": 0.3651, + "step": 1500 + }, + { + "epoch": 2.4016, + "grad_norm": 0.8558318301902453, + "learning_rate": 1.1644629347363173e-06, + "loss": 0.5684, + "step": 1501 + }, + { + "epoch": 2.4032, + "grad_norm": 0.9717717372745454, + "learning_rate": 1.1584962919676024e-06, + "loss": 0.5896, + "step": 1502 + }, + { + "epoch": 2.4048, + "grad_norm": 0.9175508481566372, + "learning_rate": 1.1525429712382175e-06, + "loss": 0.4913, + "step": 1503 + }, + { + "epoch": 2.4064, + "grad_norm": 0.9602325597251903, + "learning_rate": 1.1466029931938182e-06, + "loss": 0.5029, + "step": 1504 + }, + { + "epoch": 2.408, + "grad_norm": 0.9363830209724805, + "learning_rate": 1.1406763784337948e-06, + "loss": 0.657, + "step": 1505 + }, + { + "epoch": 2.4096, + "grad_norm": 0.9086781042516432, + "learning_rate": 1.1347631475111882e-06, + "loss": 0.6016, + "step": 1506 + }, + { + "epoch": 2.4112, + "grad_norm": 0.9192220642753022, + "learning_rate": 1.1288633209326288e-06, + "loss": 0.541, + "step": 1507 + }, + { + "epoch": 2.4128, + "grad_norm": 0.9886734868994789, + "learning_rate": 1.122976919158264e-06, + "loss": 0.548, + "step": 1508 + }, + { + "epoch": 2.4144, + "grad_norm": 1.0886591503792469, + "learning_rate": 1.1171039626016789e-06, + "loss": 0.7095, + "step": 1509 + }, + { + "epoch": 2.416, + "grad_norm": 1.0004153226831678, + "learning_rate": 1.1112444716298381e-06, + "loss": 0.6341, + "step": 1510 + }, + { + "epoch": 2.4176, + "grad_norm": 0.9269518410932112, + "learning_rate": 1.1053984665630025e-06, + "loss": 0.5398, + "step": 1511 + }, + { + "epoch": 2.4192, + "grad_norm": 1.0159500162668893, + "learning_rate": 1.0995659676746706e-06, + "loss": 0.7151, + "step": 1512 + }, + { + "epoch": 2.4208, + "grad_norm": 0.9049903122726919, + "learning_rate": 1.093746995191497e-06, + "loss": 0.6204, + "step": 1513 + }, + { + "epoch": 2.4224, + "grad_norm": 0.8783189023130342, + "learning_rate": 1.0879415692932328e-06, + "loss": 0.4715, + "step": 1514 + }, + { + "epoch": 2.424, + "grad_norm": 0.96999410358796, + "learning_rate": 1.0821497101126487e-06, + "loss": 0.5089, + "step": 1515 + }, + { + "epoch": 2.4256, + "grad_norm": 0.9896969889815371, + "learning_rate": 1.076371437735465e-06, + "loss": 0.6389, + "step": 1516 + }, + { + "epoch": 2.4272, + "grad_norm": 0.9937005001862865, + "learning_rate": 1.0706067722002877e-06, + "loss": 0.3535, + "step": 1517 + }, + { + "epoch": 2.4288, + "grad_norm": 0.9283500157098227, + "learning_rate": 1.064855733498531e-06, + "loss": 0.4832, + "step": 1518 + }, + { + "epoch": 2.4304, + "grad_norm": 0.9991008224045489, + "learning_rate": 1.0591183415743562e-06, + "loss": 0.6736, + "step": 1519 + }, + { + "epoch": 2.432, + "grad_norm": 0.8675201089133293, + "learning_rate": 1.0533946163245984e-06, + "loss": 0.4446, + "step": 1520 + }, + { + "epoch": 2.4336, + "grad_norm": 0.850469476842336, + "learning_rate": 1.047684577598694e-06, + "loss": 0.2885, + "step": 1521 + }, + { + "epoch": 2.4352, + "grad_norm": 1.1584340915993605, + "learning_rate": 1.0419882451986197e-06, + "loss": 0.6674, + "step": 1522 + }, + { + "epoch": 2.4368, + "grad_norm": 0.8894318984533174, + "learning_rate": 1.0363056388788162e-06, + "loss": 0.4195, + "step": 1523 + }, + { + "epoch": 2.4384, + "grad_norm": 0.9408991920127242, + "learning_rate": 1.0306367783461258e-06, + "loss": 0.605, + "step": 1524 + }, + { + "epoch": 2.44, + "grad_norm": 0.7745548391269444, + "learning_rate": 1.024981683259723e-06, + "loss": 0.3808, + "step": 1525 + }, + { + "epoch": 2.4416, + "grad_norm": 0.9630487567304588, + "learning_rate": 1.0193403732310392e-06, + "loss": 0.5986, + "step": 1526 + }, + { + "epoch": 2.4432, + "grad_norm": 0.8521058804123267, + "learning_rate": 1.0137128678237062e-06, + "loss": 0.378, + "step": 1527 + }, + { + "epoch": 2.4448, + "grad_norm": 0.8999044113182457, + "learning_rate": 1.0080991865534773e-06, + "loss": 0.5278, + "step": 1528 + }, + { + "epoch": 2.4464, + "grad_norm": 0.7952861585603319, + "learning_rate": 1.002499348888169e-06, + "loss": 0.4236, + "step": 1529 + }, + { + "epoch": 2.448, + "grad_norm": 1.0261402005048572, + "learning_rate": 9.969133742475883e-07, + "loss": 0.4224, + "step": 1530 + }, + { + "epoch": 2.4496, + "grad_norm": 0.9889316838050909, + "learning_rate": 9.913412820034629e-07, + "loss": 0.574, + "step": 1531 + }, + { + "epoch": 2.4512, + "grad_norm": 0.9932429518454472, + "learning_rate": 9.857830914793827e-07, + "loss": 0.5665, + "step": 1532 + }, + { + "epoch": 2.4528, + "grad_norm": 0.9307201521631674, + "learning_rate": 9.802388219507215e-07, + "loss": 0.5696, + "step": 1533 + }, + { + "epoch": 2.4544, + "grad_norm": 1.157043761531579, + "learning_rate": 9.747084926445839e-07, + "loss": 0.8006, + "step": 1534 + }, + { + "epoch": 2.456, + "grad_norm": 1.106887132673668, + "learning_rate": 9.691921227397227e-07, + "loss": 0.6043, + "step": 1535 + }, + { + "epoch": 2.4576000000000002, + "grad_norm": 0.8563532938121887, + "learning_rate": 9.63689731366486e-07, + "loss": 0.48, + "step": 1536 + }, + { + "epoch": 2.4592, + "grad_norm": 0.8815511850441942, + "learning_rate": 9.58201337606745e-07, + "loss": 0.3275, + "step": 1537 + }, + { + "epoch": 2.4608, + "grad_norm": 1.0182195024050973, + "learning_rate": 9.527269604938249e-07, + "loss": 0.6277, + "step": 1538 + }, + { + "epoch": 2.4624, + "grad_norm": 0.903571405066688, + "learning_rate": 9.472666190124457e-07, + "loss": 0.4873, + "step": 1539 + }, + { + "epoch": 2.464, + "grad_norm": 0.7410404322567221, + "learning_rate": 9.418203320986502e-07, + "loss": 0.4488, + "step": 1540 + }, + { + "epoch": 2.4656000000000002, + "grad_norm": 1.2921935152056336, + "learning_rate": 9.363881186397434e-07, + "loss": 0.5158, + "step": 1541 + }, + { + "epoch": 2.4672, + "grad_norm": 0.9259953947882726, + "learning_rate": 9.309699974742243e-07, + "loss": 0.5751, + "step": 1542 + }, + { + "epoch": 2.4688, + "grad_norm": 0.8295853532147452, + "learning_rate": 9.255659873917183e-07, + "loss": 0.4862, + "step": 1543 + }, + { + "epoch": 2.4704, + "grad_norm": 1.1125411360401074, + "learning_rate": 9.201761071329196e-07, + "loss": 0.676, + "step": 1544 + }, + { + "epoch": 2.472, + "grad_norm": 1.055931225116287, + "learning_rate": 9.148003753895146e-07, + "loss": 0.5084, + "step": 1545 + }, + { + "epoch": 2.4736000000000002, + "grad_norm": 1.0878368525055406, + "learning_rate": 9.094388108041302e-07, + "loss": 0.6544, + "step": 1546 + }, + { + "epoch": 2.4752, + "grad_norm": 0.8039901790854609, + "learning_rate": 9.040914319702598e-07, + "loss": 0.3459, + "step": 1547 + }, + { + "epoch": 2.4768, + "grad_norm": 0.9684094335087292, + "learning_rate": 8.987582574321996e-07, + "loss": 0.4744, + "step": 1548 + }, + { + "epoch": 2.4784, + "grad_norm": 1.0787715686927517, + "learning_rate": 8.934393056849921e-07, + "loss": 0.7146, + "step": 1549 + }, + { + "epoch": 2.48, + "grad_norm": 1.106324480672612, + "learning_rate": 8.881345951743486e-07, + "loss": 0.6958, + "step": 1550 + }, + { + "epoch": 2.4816, + "grad_norm": 0.8396125451035065, + "learning_rate": 8.828441442966013e-07, + "loss": 0.4374, + "step": 1551 + }, + { + "epoch": 2.4832, + "grad_norm": 0.7816353651829983, + "learning_rate": 8.775679713986235e-07, + "loss": 0.4796, + "step": 1552 + }, + { + "epoch": 2.4848, + "grad_norm": 0.9704276003053988, + "learning_rate": 8.723060947777778e-07, + "loss": 0.5111, + "step": 1553 + }, + { + "epoch": 2.4864, + "grad_norm": 0.8795115315809064, + "learning_rate": 8.670585326818493e-07, + "loss": 0.4143, + "step": 1554 + }, + { + "epoch": 2.488, + "grad_norm": 0.9493986391982322, + "learning_rate": 8.618253033089768e-07, + "loss": 0.5722, + "step": 1555 + }, + { + "epoch": 2.4896, + "grad_norm": 0.9417247177160813, + "learning_rate": 8.566064248076001e-07, + "loss": 0.576, + "step": 1556 + }, + { + "epoch": 2.4912, + "grad_norm": 0.9731896737599867, + "learning_rate": 8.514019152763852e-07, + "loss": 0.686, + "step": 1557 + }, + { + "epoch": 2.4928, + "grad_norm": 0.833465156765236, + "learning_rate": 8.462117927641733e-07, + "loss": 0.4584, + "step": 1558 + }, + { + "epoch": 2.4944, + "grad_norm": 1.021932582279391, + "learning_rate": 8.410360752699099e-07, + "loss": 0.5372, + "step": 1559 + }, + { + "epoch": 2.496, + "grad_norm": 0.987746242846434, + "learning_rate": 8.358747807425827e-07, + "loss": 0.5807, + "step": 1560 + }, + { + "epoch": 2.4976, + "grad_norm": 0.8571418458806283, + "learning_rate": 8.307279270811675e-07, + "loss": 0.4619, + "step": 1561 + }, + { + "epoch": 2.4992, + "grad_norm": 1.0132588448661046, + "learning_rate": 8.255955321345533e-07, + "loss": 0.4804, + "step": 1562 + }, + { + "epoch": 2.5008, + "grad_norm": 0.6658333060229576, + "learning_rate": 8.20477613701493e-07, + "loss": 0.3223, + "step": 1563 + }, + { + "epoch": 2.5023999999999997, + "grad_norm": 0.9729007017782386, + "learning_rate": 8.153741895305351e-07, + "loss": 0.5263, + "step": 1564 + }, + { + "epoch": 2.504, + "grad_norm": 0.9082295959977547, + "learning_rate": 8.102852773199588e-07, + "loss": 0.4918, + "step": 1565 + }, + { + "epoch": 2.5056000000000003, + "grad_norm": 0.8262162530638266, + "learning_rate": 8.052108947177234e-07, + "loss": 0.4031, + "step": 1566 + }, + { + "epoch": 2.5072, + "grad_norm": 0.7669844563759162, + "learning_rate": 8.001510593213946e-07, + "loss": 0.4422, + "step": 1567 + }, + { + "epoch": 2.5088, + "grad_norm": 0.9280154460923005, + "learning_rate": 7.951057886780939e-07, + "loss": 0.3876, + "step": 1568 + }, + { + "epoch": 2.5103999999999997, + "grad_norm": 0.9174429520819104, + "learning_rate": 7.900751002844326e-07, + "loss": 0.5939, + "step": 1569 + }, + { + "epoch": 2.512, + "grad_norm": 0.8309234305849474, + "learning_rate": 7.850590115864481e-07, + "loss": 0.5157, + "step": 1570 + }, + { + "epoch": 2.5136, + "grad_norm": 0.98566309716522, + "learning_rate": 7.80057539979554e-07, + "loss": 0.5394, + "step": 1571 + }, + { + "epoch": 2.5152, + "grad_norm": 1.0097208241476237, + "learning_rate": 7.750707028084653e-07, + "loss": 0.5979, + "step": 1572 + }, + { + "epoch": 2.5168, + "grad_norm": 1.0951443744402032, + "learning_rate": 7.70098517367151e-07, + "loss": 0.8492, + "step": 1573 + }, + { + "epoch": 2.5183999999999997, + "grad_norm": 0.897419409790903, + "learning_rate": 7.651410008987698e-07, + "loss": 0.472, + "step": 1574 + }, + { + "epoch": 2.52, + "grad_norm": 0.8876981218990583, + "learning_rate": 7.601981705956041e-07, + "loss": 0.5103, + "step": 1575 + }, + { + "epoch": 2.5216, + "grad_norm": 0.9079531631030493, + "learning_rate": 7.552700435990123e-07, + "loss": 0.561, + "step": 1576 + }, + { + "epoch": 2.5232, + "grad_norm": 0.7017054799714203, + "learning_rate": 7.503566369993564e-07, + "loss": 0.2813, + "step": 1577 + }, + { + "epoch": 2.5248, + "grad_norm": 0.892673973549526, + "learning_rate": 7.454579678359547e-07, + "loss": 0.5453, + "step": 1578 + }, + { + "epoch": 2.5263999999999998, + "grad_norm": 0.917987461622968, + "learning_rate": 7.405740530970157e-07, + "loss": 0.5609, + "step": 1579 + }, + { + "epoch": 2.528, + "grad_norm": 0.867083338819329, + "learning_rate": 7.357049097195773e-07, + "loss": 0.3466, + "step": 1580 + }, + { + "epoch": 2.5296, + "grad_norm": 1.058392826757329, + "learning_rate": 7.308505545894567e-07, + "loss": 0.6278, + "step": 1581 + }, + { + "epoch": 2.5312, + "grad_norm": 1.0141113237486776, + "learning_rate": 7.260110045411816e-07, + "loss": 0.5813, + "step": 1582 + }, + { + "epoch": 2.5328, + "grad_norm": 0.7162891327285343, + "learning_rate": 7.211862763579414e-07, + "loss": 0.311, + "step": 1583 + }, + { + "epoch": 2.5343999999999998, + "grad_norm": 0.8758030852091689, + "learning_rate": 7.163763867715218e-07, + "loss": 0.4811, + "step": 1584 + }, + { + "epoch": 2.536, + "grad_norm": 0.9897671676437568, + "learning_rate": 7.115813524622489e-07, + "loss": 0.672, + "step": 1585 + }, + { + "epoch": 2.5376, + "grad_norm": 0.9949710524025478, + "learning_rate": 7.068011900589333e-07, + "loss": 0.4206, + "step": 1586 + }, + { + "epoch": 2.5392, + "grad_norm": 0.8837911187184745, + "learning_rate": 7.020359161388108e-07, + "loss": 0.4316, + "step": 1587 + }, + { + "epoch": 2.5408, + "grad_norm": 0.5879184112503804, + "learning_rate": 6.972855472274853e-07, + "loss": 0.2481, + "step": 1588 + }, + { + "epoch": 2.5423999999999998, + "grad_norm": 0.9759203147374813, + "learning_rate": 6.925500997988694e-07, + "loss": 0.5992, + "step": 1589 + }, + { + "epoch": 2.544, + "grad_norm": 0.9498676076602623, + "learning_rate": 6.87829590275132e-07, + "loss": 0.4977, + "step": 1590 + }, + { + "epoch": 2.5456, + "grad_norm": 1.029532618020753, + "learning_rate": 6.83124035026635e-07, + "loss": 0.5373, + "step": 1591 + }, + { + "epoch": 2.5472, + "grad_norm": 0.668204761482299, + "learning_rate": 6.784334503718826e-07, + "loss": 0.3394, + "step": 1592 + }, + { + "epoch": 2.5488, + "grad_norm": 0.8695594939812411, + "learning_rate": 6.737578525774636e-07, + "loss": 0.4441, + "step": 1593 + }, + { + "epoch": 2.5504, + "grad_norm": 0.9392349325484638, + "learning_rate": 6.690972578579886e-07, + "loss": 0.59, + "step": 1594 + }, + { + "epoch": 2.552, + "grad_norm": 0.9078163588148144, + "learning_rate": 6.644516823760439e-07, + "loss": 0.52, + "step": 1595 + }, + { + "epoch": 2.5536, + "grad_norm": 0.8039329651478745, + "learning_rate": 6.598211422421258e-07, + "loss": 0.4519, + "step": 1596 + }, + { + "epoch": 2.5552, + "grad_norm": 0.9627544122110097, + "learning_rate": 6.552056535145917e-07, + "loss": 0.5289, + "step": 1597 + }, + { + "epoch": 2.5568, + "grad_norm": 0.9840575022262902, + "learning_rate": 6.506052321996037e-07, + "loss": 0.5237, + "step": 1598 + }, + { + "epoch": 2.5584, + "grad_norm": 0.9787018167214986, + "learning_rate": 6.46019894251066e-07, + "loss": 0.5315, + "step": 1599 + }, + { + "epoch": 2.56, + "grad_norm": 1.0493059715927147, + "learning_rate": 6.414496555705802e-07, + "loss": 0.5765, + "step": 1600 + }, + { + "epoch": 2.5616, + "grad_norm": 0.8969651754034742, + "learning_rate": 6.368945320073799e-07, + "loss": 0.5299, + "step": 1601 + }, + { + "epoch": 2.5632, + "grad_norm": 0.945206524039645, + "learning_rate": 6.323545393582847e-07, + "loss": 0.5838, + "step": 1602 + }, + { + "epoch": 2.5648, + "grad_norm": 1.0258998212558372, + "learning_rate": 6.278296933676414e-07, + "loss": 0.4789, + "step": 1603 + }, + { + "epoch": 2.5664, + "grad_norm": 0.9473643513353971, + "learning_rate": 6.233200097272646e-07, + "loss": 0.5551, + "step": 1604 + }, + { + "epoch": 2.568, + "grad_norm": 0.7774430184665326, + "learning_rate": 6.188255040763929e-07, + "loss": 0.3734, + "step": 1605 + }, + { + "epoch": 2.5696, + "grad_norm": 0.9445584853829107, + "learning_rate": 6.143461920016247e-07, + "loss": 0.5883, + "step": 1606 + }, + { + "epoch": 2.5712, + "grad_norm": 0.9296917836396839, + "learning_rate": 6.098820890368696e-07, + "loss": 0.5147, + "step": 1607 + }, + { + "epoch": 2.5728, + "grad_norm": 0.9148586062615583, + "learning_rate": 6.054332106632943e-07, + "loss": 0.5732, + "step": 1608 + }, + { + "epoch": 2.5744, + "grad_norm": 1.0012412849625194, + "learning_rate": 6.009995723092655e-07, + "loss": 0.5664, + "step": 1609 + }, + { + "epoch": 2.576, + "grad_norm": 1.0987958419551875, + "learning_rate": 5.965811893503015e-07, + "loss": 0.6781, + "step": 1610 + }, + { + "epoch": 2.5776, + "grad_norm": 0.7690880889200417, + "learning_rate": 5.921780771090124e-07, + "loss": 0.3247, + "step": 1611 + }, + { + "epoch": 2.5792, + "grad_norm": 0.939748803044778, + "learning_rate": 5.877902508550542e-07, + "loss": 0.4916, + "step": 1612 + }, + { + "epoch": 2.5808, + "grad_norm": 1.0847911262550938, + "learning_rate": 5.834177258050711e-07, + "loss": 0.718, + "step": 1613 + }, + { + "epoch": 2.5824, + "grad_norm": 1.070434943448536, + "learning_rate": 5.790605171226421e-07, + "loss": 0.4535, + "step": 1614 + }, + { + "epoch": 2.584, + "grad_norm": 0.9753736580159518, + "learning_rate": 5.747186399182336e-07, + "loss": 0.433, + "step": 1615 + }, + { + "epoch": 2.5856, + "grad_norm": 0.9386288978432279, + "learning_rate": 5.703921092491393e-07, + "loss": 0.5085, + "step": 1616 + }, + { + "epoch": 2.5872, + "grad_norm": 0.8610325004451929, + "learning_rate": 5.660809401194362e-07, + "loss": 0.4918, + "step": 1617 + }, + { + "epoch": 2.5888, + "grad_norm": 0.9401352428232486, + "learning_rate": 5.617851474799285e-07, + "loss": 0.569, + "step": 1618 + }, + { + "epoch": 2.5904, + "grad_norm": 1.0696131085570977, + "learning_rate": 5.575047462280919e-07, + "loss": 0.6889, + "step": 1619 + }, + { + "epoch": 2.592, + "grad_norm": 0.8732391087759279, + "learning_rate": 5.532397512080306e-07, + "loss": 0.4544, + "step": 1620 + }, + { + "epoch": 2.5936, + "grad_norm": 1.0847734004509193, + "learning_rate": 5.489901772104178e-07, + "loss": 0.5871, + "step": 1621 + }, + { + "epoch": 2.5952, + "grad_norm": 1.025147023137289, + "learning_rate": 5.447560389724499e-07, + "loss": 0.5823, + "step": 1622 + }, + { + "epoch": 2.5968, + "grad_norm": 0.9376440736222197, + "learning_rate": 5.405373511777939e-07, + "loss": 0.586, + "step": 1623 + }, + { + "epoch": 2.5984, + "grad_norm": 0.751587873002503, + "learning_rate": 5.363341284565316e-07, + "loss": 0.3986, + "step": 1624 + }, + { + "epoch": 2.6, + "grad_norm": 0.909613639993501, + "learning_rate": 5.321463853851189e-07, + "loss": 0.5104, + "step": 1625 + }, + { + "epoch": 2.6016, + "grad_norm": 0.8889224427108126, + "learning_rate": 5.279741364863244e-07, + "loss": 0.5365, + "step": 1626 + }, + { + "epoch": 2.6032, + "grad_norm": 0.7634680142042353, + "learning_rate": 5.238173962291881e-07, + "loss": 0.4034, + "step": 1627 + }, + { + "epoch": 2.6048, + "grad_norm": 0.956085254453705, + "learning_rate": 5.196761790289639e-07, + "loss": 0.593, + "step": 1628 + }, + { + "epoch": 2.6064, + "grad_norm": 0.9012307126570898, + "learning_rate": 5.155504992470751e-07, + "loss": 0.4786, + "step": 1629 + }, + { + "epoch": 2.608, + "grad_norm": 0.8284727307964317, + "learning_rate": 5.114403711910631e-07, + "loss": 0.4324, + "step": 1630 + }, + { + "epoch": 2.6096, + "grad_norm": 0.9106223455704877, + "learning_rate": 5.073458091145328e-07, + "loss": 0.4896, + "step": 1631 + }, + { + "epoch": 2.6112, + "grad_norm": 0.9496870308486733, + "learning_rate": 5.032668272171138e-07, + "loss": 0.4734, + "step": 1632 + }, + { + "epoch": 2.6128, + "grad_norm": 0.7895275786110693, + "learning_rate": 4.99203439644399e-07, + "loss": 0.4637, + "step": 1633 + }, + { + "epoch": 2.6144, + "grad_norm": 1.0632457095304344, + "learning_rate": 4.951556604879049e-07, + "loss": 0.6212, + "step": 1634 + }, + { + "epoch": 2.616, + "grad_norm": 0.8155102509323091, + "learning_rate": 4.911235037850187e-07, + "loss": 0.4942, + "step": 1635 + }, + { + "epoch": 2.6176, + "grad_norm": 0.8802028987780882, + "learning_rate": 4.871069835189485e-07, + "loss": 0.5143, + "step": 1636 + }, + { + "epoch": 2.6192, + "grad_norm": 0.7785846291097843, + "learning_rate": 4.831061136186787e-07, + "loss": 0.4541, + "step": 1637 + }, + { + "epoch": 2.6208, + "grad_norm": 0.6700390055007225, + "learning_rate": 4.791209079589165e-07, + "loss": 0.3529, + "step": 1638 + }, + { + "epoch": 2.6224, + "grad_norm": 0.8686085163503766, + "learning_rate": 4.7515138036005157e-07, + "loss": 0.257, + "step": 1639 + }, + { + "epoch": 2.624, + "grad_norm": 1.0339388063236605, + "learning_rate": 4.7119754458809727e-07, + "loss": 0.6319, + "step": 1640 + }, + { + "epoch": 2.6256, + "grad_norm": 0.8883200268383784, + "learning_rate": 4.672594143546538e-07, + "loss": 0.5812, + "step": 1641 + }, + { + "epoch": 2.6272, + "grad_norm": 0.6793900061951278, + "learning_rate": 4.6333700331685385e-07, + "loss": 0.3194, + "step": 1642 + }, + { + "epoch": 2.6288, + "grad_norm": 0.8686822738965762, + "learning_rate": 4.594303250773152e-07, + "loss": 0.5448, + "step": 1643 + }, + { + "epoch": 2.6304, + "grad_norm": 1.0549996185261559, + "learning_rate": 4.555393931841001e-07, + "loss": 0.7464, + "step": 1644 + }, + { + "epoch": 2.632, + "grad_norm": 0.7102411307506447, + "learning_rate": 4.5166422113065877e-07, + "loss": 0.4068, + "step": 1645 + }, + { + "epoch": 2.6336, + "grad_norm": 1.0870681513982696, + "learning_rate": 4.478048223557907e-07, + "loss": 0.6791, + "step": 1646 + }, + { + "epoch": 2.6352, + "grad_norm": 0.8516742917262574, + "learning_rate": 4.439612102435942e-07, + "loss": 0.4488, + "step": 1647 + }, + { + "epoch": 2.6368, + "grad_norm": 0.7222784814074833, + "learning_rate": 4.401333981234196e-07, + "loss": 0.3667, + "step": 1648 + }, + { + "epoch": 2.6384, + "grad_norm": 0.9613780260833652, + "learning_rate": 4.3632139926982676e-07, + "loss": 0.582, + "step": 1649 + }, + { + "epoch": 2.64, + "grad_norm": 0.7096611127129745, + "learning_rate": 4.325252269025315e-07, + "loss": 0.3525, + "step": 1650 + }, + { + "epoch": 2.6416, + "grad_norm": 0.8206223522864046, + "learning_rate": 4.287448941863692e-07, + "loss": 0.412, + "step": 1651 + }, + { + "epoch": 2.6432, + "grad_norm": 0.9826387039466941, + "learning_rate": 4.249804142312436e-07, + "loss": 0.483, + "step": 1652 + }, + { + "epoch": 2.6448, + "grad_norm": 1.1378638082145927, + "learning_rate": 4.2123180009207956e-07, + "loss": 0.8569, + "step": 1653 + }, + { + "epoch": 2.6464, + "grad_norm": 0.8451747231880498, + "learning_rate": 4.1749906476878486e-07, + "loss": 0.5357, + "step": 1654 + }, + { + "epoch": 2.648, + "grad_norm": 0.837036012098896, + "learning_rate": 4.137822212061965e-07, + "loss": 0.2811, + "step": 1655 + }, + { + "epoch": 2.6496, + "grad_norm": 0.7085629675834364, + "learning_rate": 4.100812822940431e-07, + "loss": 0.3804, + "step": 1656 + }, + { + "epoch": 2.6512000000000002, + "grad_norm": 0.8050058514816502, + "learning_rate": 4.063962608668959e-07, + "loss": 0.4265, + "step": 1657 + }, + { + "epoch": 2.6528, + "grad_norm": 0.9864448067492304, + "learning_rate": 4.0272716970412516e-07, + "loss": 0.6459, + "step": 1658 + }, + { + "epoch": 2.6544, + "grad_norm": 0.733187994911944, + "learning_rate": 3.990740215298583e-07, + "loss": 0.3094, + "step": 1659 + }, + { + "epoch": 2.656, + "grad_norm": 0.9090857610700898, + "learning_rate": 3.954368290129301e-07, + "loss": 0.5743, + "step": 1660 + }, + { + "epoch": 2.6576, + "grad_norm": 0.9526805483802787, + "learning_rate": 3.918156047668453e-07, + "loss": 0.4951, + "step": 1661 + }, + { + "epoch": 2.6592000000000002, + "grad_norm": 0.9280885690908339, + "learning_rate": 3.882103613497318e-07, + "loss": 0.4517, + "step": 1662 + }, + { + "epoch": 2.6608, + "grad_norm": 0.9812628974893594, + "learning_rate": 3.84621111264295e-07, + "loss": 0.6679, + "step": 1663 + }, + { + "epoch": 2.6624, + "grad_norm": 1.0611443751067686, + "learning_rate": 3.810478669577794e-07, + "loss": 0.554, + "step": 1664 + }, + { + "epoch": 2.664, + "grad_norm": 1.0401308351120422, + "learning_rate": 3.7749064082191976e-07, + "loss": 0.5827, + "step": 1665 + }, + { + "epoch": 2.6656, + "grad_norm": 1.0567408640780052, + "learning_rate": 3.739494451929049e-07, + "loss": 0.5485, + "step": 1666 + }, + { + "epoch": 2.6672000000000002, + "grad_norm": 0.7710697697456071, + "learning_rate": 3.7042429235132625e-07, + "loss": 0.3881, + "step": 1667 + }, + { + "epoch": 2.6688, + "grad_norm": 1.0333252902293386, + "learning_rate": 3.6691519452214387e-07, + "loss": 0.5227, + "step": 1668 + }, + { + "epoch": 2.6704, + "grad_norm": 0.9040887004913815, + "learning_rate": 3.6342216387464047e-07, + "loss": 0.5323, + "step": 1669 + }, + { + "epoch": 2.672, + "grad_norm": 0.8727130976646734, + "learning_rate": 3.5994521252237516e-07, + "loss": 0.4935, + "step": 1670 + }, + { + "epoch": 2.6736, + "grad_norm": 0.9491527846045139, + "learning_rate": 3.564843525231498e-07, + "loss": 0.5499, + "step": 1671 + }, + { + "epoch": 2.6752000000000002, + "grad_norm": 0.9880513577886809, + "learning_rate": 3.53039595878959e-07, + "loss": 0.6208, + "step": 1672 + }, + { + "epoch": 2.6768, + "grad_norm": 1.0024124123974392, + "learning_rate": 3.496109545359544e-07, + "loss": 0.511, + "step": 1673 + }, + { + "epoch": 2.6784, + "grad_norm": 1.0418010399506832, + "learning_rate": 3.461984403844015e-07, + "loss": 0.6665, + "step": 1674 + }, + { + "epoch": 2.68, + "grad_norm": 0.7477781740862339, + "learning_rate": 3.42802065258635e-07, + "loss": 0.4415, + "step": 1675 + }, + { + "epoch": 2.6816, + "grad_norm": 0.8084004133474733, + "learning_rate": 3.394218409370242e-07, + "loss": 0.4088, + "step": 1676 + }, + { + "epoch": 2.6832000000000003, + "grad_norm": 0.94420241995701, + "learning_rate": 3.360577791419256e-07, + "loss": 0.45, + "step": 1677 + }, + { + "epoch": 2.6848, + "grad_norm": 0.8999911747078578, + "learning_rate": 3.3270989153964707e-07, + "loss": 0.592, + "step": 1678 + }, + { + "epoch": 2.6864, + "grad_norm": 0.89087048353379, + "learning_rate": 3.2937818974040637e-07, + "loss": 0.5544, + "step": 1679 + }, + { + "epoch": 2.6879999999999997, + "grad_norm": 0.9665755557178914, + "learning_rate": 3.260626852982873e-07, + "loss": 0.4308, + "step": 1680 + }, + { + "epoch": 2.6896, + "grad_norm": 0.8125928666137122, + "learning_rate": 3.227633897112059e-07, + "loss": 0.4404, + "step": 1681 + }, + { + "epoch": 2.6912000000000003, + "grad_norm": 0.9657970839652169, + "learning_rate": 3.194803144208636e-07, + "loss": 0.541, + "step": 1682 + }, + { + "epoch": 2.6928, + "grad_norm": 0.9658870663260312, + "learning_rate": 3.16213470812714e-07, + "loss": 0.6173, + "step": 1683 + }, + { + "epoch": 2.6944, + "grad_norm": 0.9858585683173319, + "learning_rate": 3.129628702159204e-07, + "loss": 0.7017, + "step": 1684 + }, + { + "epoch": 2.6959999999999997, + "grad_norm": 0.9753526322111876, + "learning_rate": 3.097285239033138e-07, + "loss": 0.5771, + "step": 1685 + }, + { + "epoch": 2.6976, + "grad_norm": 0.8203170630873676, + "learning_rate": 3.0651044309136016e-07, + "loss": 0.4961, + "step": 1686 + }, + { + "epoch": 2.6992000000000003, + "grad_norm": 1.0328298201204134, + "learning_rate": 3.033086389401141e-07, + "loss": 0.6105, + "step": 1687 + }, + { + "epoch": 2.7008, + "grad_norm": 0.7948792744432925, + "learning_rate": 3.0012312255318696e-07, + "loss": 0.5009, + "step": 1688 + }, + { + "epoch": 2.7024, + "grad_norm": 1.011412683899952, + "learning_rate": 2.9695390497770535e-07, + "loss": 0.6488, + "step": 1689 + }, + { + "epoch": 2.7039999999999997, + "grad_norm": 0.9133387908486027, + "learning_rate": 2.93800997204271e-07, + "loss": 0.5873, + "step": 1690 + }, + { + "epoch": 2.7056, + "grad_norm": 0.9545062457004707, + "learning_rate": 2.9066441016692594e-07, + "loss": 0.5496, + "step": 1691 + }, + { + "epoch": 2.7072000000000003, + "grad_norm": 1.0166317184941516, + "learning_rate": 2.8754415474311235e-07, + "loss": 0.7333, + "step": 1692 + }, + { + "epoch": 2.7088, + "grad_norm": 0.7225584678692126, + "learning_rate": 2.844402417536374e-07, + "loss": 0.3224, + "step": 1693 + }, + { + "epoch": 2.7104, + "grad_norm": 0.8868796779774393, + "learning_rate": 2.8135268196263055e-07, + "loss": 0.5455, + "step": 1694 + }, + { + "epoch": 2.7119999999999997, + "grad_norm": 0.7639113189038628, + "learning_rate": 2.782814860775124e-07, + "loss": 0.3971, + "step": 1695 + }, + { + "epoch": 2.7136, + "grad_norm": 1.0463004434919674, + "learning_rate": 2.752266647489549e-07, + "loss": 0.6093, + "step": 1696 + }, + { + "epoch": 2.7152, + "grad_norm": 0.9661113131018776, + "learning_rate": 2.7218822857084217e-07, + "loss": 0.4983, + "step": 1697 + }, + { + "epoch": 2.7168, + "grad_norm": 0.9291352513206746, + "learning_rate": 2.691661880802382e-07, + "loss": 0.5323, + "step": 1698 + }, + { + "epoch": 2.7184, + "grad_norm": 0.7842018041059153, + "learning_rate": 2.661605537573453e-07, + "loss": 0.3933, + "step": 1699 + }, + { + "epoch": 2.7199999999999998, + "grad_norm": 0.6695511009471947, + "learning_rate": 2.631713360254734e-07, + "loss": 0.357, + "step": 1700 + }, + { + "epoch": 2.7216, + "grad_norm": 0.9752728154251148, + "learning_rate": 2.6019854525099977e-07, + "loss": 0.609, + "step": 1701 + }, + { + "epoch": 2.7232, + "grad_norm": 0.9003259467346113, + "learning_rate": 2.572421917433332e-07, + "loss": 0.4164, + "step": 1702 + }, + { + "epoch": 2.7248, + "grad_norm": 0.6820123456128315, + "learning_rate": 2.5430228575488156e-07, + "loss": 0.3883, + "step": 1703 + }, + { + "epoch": 2.7264, + "grad_norm": 0.8142029207278232, + "learning_rate": 2.513788374810111e-07, + "loss": 0.4403, + "step": 1704 + }, + { + "epoch": 2.7279999999999998, + "grad_norm": 1.0114785902582635, + "learning_rate": 2.4847185706001643e-07, + "loss": 0.5507, + "step": 1705 + }, + { + "epoch": 2.7296, + "grad_norm": 1.031565197570965, + "learning_rate": 2.455813545730812e-07, + "loss": 0.3876, + "step": 1706 + }, + { + "epoch": 2.7312, + "grad_norm": 0.9973880785202093, + "learning_rate": 2.4270734004424643e-07, + "loss": 0.5462, + "step": 1707 + }, + { + "epoch": 2.7328, + "grad_norm": 1.0928308631380754, + "learning_rate": 2.39849823440374e-07, + "loss": 0.404, + "step": 1708 + }, + { + "epoch": 2.7344, + "grad_norm": 0.867317346855674, + "learning_rate": 2.3700881467111025e-07, + "loss": 0.4486, + "step": 1709 + }, + { + "epoch": 2.7359999999999998, + "grad_norm": 1.0334464401782197, + "learning_rate": 2.3418432358885633e-07, + "loss": 0.5629, + "step": 1710 + }, + { + "epoch": 2.7376, + "grad_norm": 0.7909830652600024, + "learning_rate": 2.3137635998872808e-07, + "loss": 0.4398, + "step": 1711 + }, + { + "epoch": 2.7392, + "grad_norm": 1.2832617530267387, + "learning_rate": 2.285849336085294e-07, + "loss": 0.6437, + "step": 1712 + }, + { + "epoch": 2.7408, + "grad_norm": 0.8836239713948657, + "learning_rate": 2.258100541287117e-07, + "loss": 0.6076, + "step": 1713 + }, + { + "epoch": 2.7424, + "grad_norm": 1.0857587768731678, + "learning_rate": 2.2305173117234236e-07, + "loss": 0.5816, + "step": 1714 + }, + { + "epoch": 2.7439999999999998, + "grad_norm": 0.8472083599450355, + "learning_rate": 2.2030997430507462e-07, + "loss": 0.4962, + "step": 1715 + }, + { + "epoch": 2.7456, + "grad_norm": 0.8434014834262357, + "learning_rate": 2.1758479303510937e-07, + "loss": 0.5518, + "step": 1716 + }, + { + "epoch": 2.7472, + "grad_norm": 1.1849408576166802, + "learning_rate": 2.148761968131663e-07, + "loss": 0.5953, + "step": 1717 + }, + { + "epoch": 2.7488, + "grad_norm": 0.8553362198678027, + "learning_rate": 2.121841950324488e-07, + "loss": 0.5281, + "step": 1718 + }, + { + "epoch": 2.7504, + "grad_norm": 0.8558389777192571, + "learning_rate": 2.0950879702861082e-07, + "loss": 0.5287, + "step": 1719 + }, + { + "epoch": 2.752, + "grad_norm": 0.9765310417692751, + "learning_rate": 2.0685001207972843e-07, + "loss": 0.5537, + "step": 1720 + }, + { + "epoch": 2.7536, + "grad_norm": 0.9436193099371826, + "learning_rate": 2.042078494062616e-07, + "loss": 0.4218, + "step": 1721 + }, + { + "epoch": 2.7552, + "grad_norm": 0.8355901313855413, + "learning_rate": 2.0158231817102858e-07, + "loss": 0.5243, + "step": 1722 + }, + { + "epoch": 2.7568, + "grad_norm": 0.8864902252071198, + "learning_rate": 1.9897342747916938e-07, + "loss": 0.4518, + "step": 1723 + }, + { + "epoch": 2.7584, + "grad_norm": 0.8324001161614192, + "learning_rate": 1.9638118637811564e-07, + "loss": 0.5128, + "step": 1724 + }, + { + "epoch": 2.76, + "grad_norm": 0.9284958368739817, + "learning_rate": 1.9380560385756088e-07, + "loss": 0.4961, + "step": 1725 + }, + { + "epoch": 2.7616, + "grad_norm": 0.9950902011711322, + "learning_rate": 1.9124668884942632e-07, + "loss": 0.6141, + "step": 1726 + }, + { + "epoch": 2.7632, + "grad_norm": 0.8401272664041367, + "learning_rate": 1.8870445022783234e-07, + "loss": 0.3772, + "step": 1727 + }, + { + "epoch": 2.7648, + "grad_norm": 0.952108716456919, + "learning_rate": 1.861788968090683e-07, + "loss": 0.591, + "step": 1728 + }, + { + "epoch": 2.7664, + "grad_norm": 1.0321321969178023, + "learning_rate": 1.8367003735155764e-07, + "loss": 0.5918, + "step": 1729 + }, + { + "epoch": 2.768, + "grad_norm": 0.791821254259906, + "learning_rate": 1.8117788055583286e-07, + "loss": 0.4422, + "step": 1730 + }, + { + "epoch": 2.7696, + "grad_norm": 0.8173771066344215, + "learning_rate": 1.7870243506450113e-07, + "loss": 0.4135, + "step": 1731 + }, + { + "epoch": 2.7712, + "grad_norm": 0.9186841190744106, + "learning_rate": 1.762437094622177e-07, + "loss": 0.4959, + "step": 1732 + }, + { + "epoch": 2.7728, + "grad_norm": 1.0275537017373018, + "learning_rate": 1.738017122756541e-07, + "loss": 0.6584, + "step": 1733 + }, + { + "epoch": 2.7744, + "grad_norm": 1.0430161165003917, + "learning_rate": 1.713764519734673e-07, + "loss": 0.642, + "step": 1734 + }, + { + "epoch": 2.776, + "grad_norm": 0.9567526786143894, + "learning_rate": 1.68967936966275e-07, + "loss": 0.5208, + "step": 1735 + }, + { + "epoch": 2.7776, + "grad_norm": 0.812487127383462, + "learning_rate": 1.6657617560662088e-07, + "loss": 0.3675, + "step": 1736 + }, + { + "epoch": 2.7792, + "grad_norm": 0.9373211060381809, + "learning_rate": 1.6420117618895003e-07, + "loss": 0.581, + "step": 1737 + }, + { + "epoch": 2.7808, + "grad_norm": 0.9841315757972408, + "learning_rate": 1.6184294694957747e-07, + "loss": 0.6086, + "step": 1738 + }, + { + "epoch": 2.7824, + "grad_norm": 0.8791421198943066, + "learning_rate": 1.5950149606666077e-07, + "loss": 0.4569, + "step": 1739 + }, + { + "epoch": 2.784, + "grad_norm": 0.9642648167692756, + "learning_rate": 1.5717683166017184e-07, + "loss": 0.5504, + "step": 1740 + }, + { + "epoch": 2.7856, + "grad_norm": 0.9119074242238372, + "learning_rate": 1.5486896179186693e-07, + "loss": 0.5595, + "step": 1741 + }, + { + "epoch": 2.7872, + "grad_norm": 0.8971541475887924, + "learning_rate": 1.5257789446526172e-07, + "loss": 0.5563, + "step": 1742 + }, + { + "epoch": 2.7888, + "grad_norm": 0.8042412356157594, + "learning_rate": 1.5030363762560228e-07, + "loss": 0.4276, + "step": 1743 + }, + { + "epoch": 2.7904, + "grad_norm": 1.0800812712251564, + "learning_rate": 1.480461991598353e-07, + "loss": 0.7225, + "step": 1744 + }, + { + "epoch": 2.792, + "grad_norm": 1.0672625382493286, + "learning_rate": 1.458055868965841e-07, + "loss": 0.5413, + "step": 1745 + }, + { + "epoch": 2.7936, + "grad_norm": 0.8877356286665732, + "learning_rate": 1.4358180860611913e-07, + "loss": 0.4827, + "step": 1746 + }, + { + "epoch": 2.7952, + "grad_norm": 0.8410448434984354, + "learning_rate": 1.4137487200033383e-07, + "loss": 0.4581, + "step": 1747 + }, + { + "epoch": 2.7968, + "grad_norm": 1.0506355864583343, + "learning_rate": 1.3918478473271325e-07, + "loss": 0.6866, + "step": 1748 + }, + { + "epoch": 2.7984, + "grad_norm": 0.8777940704455622, + "learning_rate": 1.3701155439831249e-07, + "loss": 0.517, + "step": 1749 + }, + { + "epoch": 2.8, + "grad_norm": 1.051779444323007, + "learning_rate": 1.3485518853372625e-07, + "loss": 0.6553, + "step": 1750 + }, + { + "epoch": 2.8016, + "grad_norm": 0.9332180897974, + "learning_rate": 1.3271569461706547e-07, + "loss": 0.6018, + "step": 1751 + }, + { + "epoch": 2.8032, + "grad_norm": 0.9622031801842292, + "learning_rate": 1.305930800679317e-07, + "loss": 0.5358, + "step": 1752 + }, + { + "epoch": 2.8048, + "grad_norm": 0.9439169279836743, + "learning_rate": 1.2848735224738729e-07, + "loss": 0.6348, + "step": 1753 + }, + { + "epoch": 2.8064, + "grad_norm": 0.6141565699315273, + "learning_rate": 1.2639851845793583e-07, + "loss": 0.2859, + "step": 1754 + }, + { + "epoch": 2.808, + "grad_norm": 0.9887019457101981, + "learning_rate": 1.2432658594349113e-07, + "loss": 0.503, + "step": 1755 + }, + { + "epoch": 2.8096, + "grad_norm": 0.755573233731766, + "learning_rate": 1.2227156188935552e-07, + "loss": 0.3755, + "step": 1756 + }, + { + "epoch": 2.8112, + "grad_norm": 0.8068516187741288, + "learning_rate": 1.202334534221955e-07, + "loss": 0.4035, + "step": 1757 + }, + { + "epoch": 2.8128, + "grad_norm": 1.0541894091692041, + "learning_rate": 1.1821226761001391e-07, + "loss": 0.5488, + "step": 1758 + }, + { + "epoch": 2.8144, + "grad_norm": 0.8215663663964111, + "learning_rate": 1.1620801146212723e-07, + "loss": 0.483, + "step": 1759 + }, + { + "epoch": 2.816, + "grad_norm": 1.0599170394946014, + "learning_rate": 1.1422069192914221e-07, + "loss": 0.6629, + "step": 1760 + }, + { + "epoch": 2.8176, + "grad_norm": 1.0241069984777655, + "learning_rate": 1.1225031590292923e-07, + "loss": 0.6546, + "step": 1761 + }, + { + "epoch": 2.8192, + "grad_norm": 0.9567436147461478, + "learning_rate": 1.1029689021660183e-07, + "loss": 0.4679, + "step": 1762 + }, + { + "epoch": 2.8208, + "grad_norm": 1.0237155632844601, + "learning_rate": 1.0836042164448945e-07, + "loss": 0.5878, + "step": 1763 + }, + { + "epoch": 2.8224, + "grad_norm": 0.9145183098750288, + "learning_rate": 1.0644091690211633e-07, + "loss": 0.4294, + "step": 1764 + }, + { + "epoch": 2.824, + "grad_norm": 1.025294366320079, + "learning_rate": 1.0453838264617711e-07, + "loss": 0.5874, + "step": 1765 + }, + { + "epoch": 2.8256, + "grad_norm": 0.8145556035089478, + "learning_rate": 1.0265282547451405e-07, + "loss": 0.5206, + "step": 1766 + }, + { + "epoch": 2.8272, + "grad_norm": 1.033388081285144, + "learning_rate": 1.0078425192609487e-07, + "loss": 0.7222, + "step": 1767 + }, + { + "epoch": 2.8288, + "grad_norm": 0.9383179711094793, + "learning_rate": 9.893266848098826e-08, + "loss": 0.6028, + "step": 1768 + }, + { + "epoch": 2.8304, + "grad_norm": 0.9219171426373641, + "learning_rate": 9.709808156034394e-08, + "loss": 0.4348, + "step": 1769 + }, + { + "epoch": 2.832, + "grad_norm": 0.9775727388399273, + "learning_rate": 9.528049752636714e-08, + "loss": 0.5827, + "step": 1770 + }, + { + "epoch": 2.8336, + "grad_norm": 0.915416296587186, + "learning_rate": 9.347992268230022e-08, + "loss": 0.5401, + "step": 1771 + }, + { + "epoch": 2.8352, + "grad_norm": 1.0055777347226402, + "learning_rate": 9.169636327239883e-08, + "loss": 0.3765, + "step": 1772 + }, + { + "epoch": 2.8368, + "grad_norm": 0.8967909547614343, + "learning_rate": 8.992982548190809e-08, + "loss": 0.4848, + "step": 1773 + }, + { + "epoch": 2.8384, + "grad_norm": 0.9335655966624374, + "learning_rate": 8.818031543704641e-08, + "loss": 0.452, + "step": 1774 + }, + { + "epoch": 2.84, + "grad_norm": 1.0392399356550421, + "learning_rate": 8.644783920498001e-08, + "loss": 0.5388, + "step": 1775 + }, + { + "epoch": 2.8416, + "grad_norm": 0.9289874520348161, + "learning_rate": 8.473240279380235e-08, + "loss": 0.5201, + "step": 1776 + }, + { + "epoch": 2.8432, + "grad_norm": 0.8453655211817417, + "learning_rate": 8.303401215251583e-08, + "loss": 0.3835, + "step": 1777 + }, + { + "epoch": 2.8448, + "grad_norm": 0.9480733448652274, + "learning_rate": 8.135267317100792e-08, + "loss": 0.4522, + "step": 1778 + }, + { + "epoch": 2.8464, + "grad_norm": 0.922483436866371, + "learning_rate": 7.968839168003395e-08, + "loss": 0.5468, + "step": 1779 + }, + { + "epoch": 2.848, + "grad_norm": 0.8044570303909396, + "learning_rate": 7.804117345119266e-08, + "loss": 0.4441, + "step": 1780 + }, + { + "epoch": 2.8496, + "grad_norm": 0.9769896374917257, + "learning_rate": 7.64110241969107e-08, + "loss": 0.537, + "step": 1781 + }, + { + "epoch": 2.8512, + "grad_norm": 1.0307479199926861, + "learning_rate": 7.479794957042041e-08, + "loss": 0.6612, + "step": 1782 + }, + { + "epoch": 2.8528000000000002, + "grad_norm": 0.808217262963437, + "learning_rate": 7.320195516574036e-08, + "loss": 0.5036, + "step": 1783 + }, + { + "epoch": 2.8544, + "grad_norm": 1.044456028781398, + "learning_rate": 7.16230465176565e-08, + "loss": 0.5555, + "step": 1784 + }, + { + "epoch": 2.856, + "grad_norm": 1.0239175798105442, + "learning_rate": 7.00612291017022e-08, + "loss": 0.4934, + "step": 1785 + }, + { + "epoch": 2.8576, + "grad_norm": 0.9293490059098942, + "learning_rate": 6.851650833414103e-08, + "loss": 0.6342, + "step": 1786 + }, + { + "epoch": 2.8592, + "grad_norm": 0.902262463643105, + "learning_rate": 6.698888957194505e-08, + "loss": 0.4887, + "step": 1787 + }, + { + "epoch": 2.8608000000000002, + "grad_norm": 0.9041811208749048, + "learning_rate": 6.547837811277824e-08, + "loss": 0.4734, + "step": 1788 + }, + { + "epoch": 2.8624, + "grad_norm": 1.0173774405665454, + "learning_rate": 6.39849791949787e-08, + "loss": 0.5473, + "step": 1789 + }, + { + "epoch": 2.864, + "grad_norm": 0.9337482598178692, + "learning_rate": 6.250869799753866e-08, + "loss": 0.639, + "step": 1790 + }, + { + "epoch": 2.8656, + "grad_norm": 1.0814103881812365, + "learning_rate": 6.104953964008897e-08, + "loss": 0.5582, + "step": 1791 + }, + { + "epoch": 2.8672, + "grad_norm": 1.2094547894118997, + "learning_rate": 5.960750918287627e-08, + "loss": 0.3622, + "step": 1792 + }, + { + "epoch": 2.8688000000000002, + "grad_norm": 0.6464899543796374, + "learning_rate": 5.818261162675309e-08, + "loss": 0.2707, + "step": 1793 + }, + { + "epoch": 2.8704, + "grad_norm": 0.9514938041621019, + "learning_rate": 5.677485191315391e-08, + "loss": 0.5766, + "step": 1794 + }, + { + "epoch": 2.872, + "grad_norm": 1.0670141743034245, + "learning_rate": 5.538423492408129e-08, + "loss": 0.4951, + "step": 1795 + }, + { + "epoch": 2.8736, + "grad_norm": 0.9576950385760803, + "learning_rate": 5.401076548208761e-08, + "loss": 0.6705, + "step": 1796 + }, + { + "epoch": 2.8752, + "grad_norm": 0.9553166311093505, + "learning_rate": 5.265444835025946e-08, + "loss": 0.4376, + "step": 1797 + }, + { + "epoch": 2.8768000000000002, + "grad_norm": 0.9085640110287027, + "learning_rate": 5.1315288232201e-08, + "loss": 0.6372, + "step": 1798 + }, + { + "epoch": 2.8784, + "grad_norm": 0.8032912680905456, + "learning_rate": 4.9993289772015116e-08, + "loss": 0.4572, + "step": 1799 + }, + { + "epoch": 2.88, + "grad_norm": 0.7552822476251557, + "learning_rate": 4.8688457554291746e-08, + "loss": 0.374, + "step": 1800 + }, + { + "epoch": 2.8816, + "grad_norm": 0.86223196440621, + "learning_rate": 4.7400796104088434e-08, + "loss": 0.4994, + "step": 1801 + }, + { + "epoch": 2.8832, + "grad_norm": 0.8675334598925721, + "learning_rate": 4.613030988691536e-08, + "loss": 0.4502, + "step": 1802 + }, + { + "epoch": 2.8848000000000003, + "grad_norm": 0.8508840629804357, + "learning_rate": 4.4877003308722575e-08, + "loss": 0.3946, + "step": 1803 + }, + { + "epoch": 2.8864, + "grad_norm": 0.824632873492589, + "learning_rate": 4.364088071587891e-08, + "loss": 0.4637, + "step": 1804 + }, + { + "epoch": 2.888, + "grad_norm": 0.9845171821161611, + "learning_rate": 4.2421946395164174e-08, + "loss": 0.6362, + "step": 1805 + }, + { + "epoch": 2.8895999999999997, + "grad_norm": 0.9939173511971835, + "learning_rate": 4.1220204573747534e-08, + "loss": 0.6751, + "step": 1806 + }, + { + "epoch": 2.8912, + "grad_norm": 1.0491033709853865, + "learning_rate": 4.0035659419178086e-08, + "loss": 0.6523, + "step": 1807 + }, + { + "epoch": 2.8928000000000003, + "grad_norm": 0.887885585545425, + "learning_rate": 3.88683150393665e-08, + "loss": 0.451, + "step": 1808 + }, + { + "epoch": 2.8944, + "grad_norm": 0.9186365473940187, + "learning_rate": 3.771817548257395e-08, + "loss": 0.5534, + "step": 1809 + }, + { + "epoch": 2.896, + "grad_norm": 0.8916838733612182, + "learning_rate": 3.658524473739544e-08, + "loss": 0.5114, + "step": 1810 + }, + { + "epoch": 2.8975999999999997, + "grad_norm": 0.9291647540672928, + "learning_rate": 3.546952673274817e-08, + "loss": 0.5271, + "step": 1811 + }, + { + "epoch": 2.8992, + "grad_norm": 0.9400922485383789, + "learning_rate": 3.437102533785541e-08, + "loss": 0.6075, + "step": 1812 + }, + { + "epoch": 2.9008000000000003, + "grad_norm": 0.8671931634607897, + "learning_rate": 3.328974436223709e-08, + "loss": 0.5047, + "step": 1813 + }, + { + "epoch": 2.9024, + "grad_norm": 0.9670018877245997, + "learning_rate": 3.2225687555690886e-08, + "loss": 0.7172, + "step": 1814 + }, + { + "epoch": 2.904, + "grad_norm": 0.8860508394198572, + "learning_rate": 3.117885860828396e-08, + "loss": 0.5361, + "step": 1815 + }, + { + "epoch": 2.9055999999999997, + "grad_norm": 0.8849856446629526, + "learning_rate": 3.014926115034012e-08, + "loss": 0.5887, + "step": 1816 + }, + { + "epoch": 2.9072, + "grad_norm": 0.8878094619082265, + "learning_rate": 2.9136898752422648e-08, + "loss": 0.4742, + "step": 1817 + }, + { + "epoch": 2.9088000000000003, + "grad_norm": 1.0116183127223932, + "learning_rate": 2.8141774925327103e-08, + "loss": 0.6907, + "step": 1818 + }, + { + "epoch": 2.9104, + "grad_norm": 0.9214430805037775, + "learning_rate": 2.7163893120066288e-08, + "loss": 0.5466, + "step": 1819 + }, + { + "epoch": 2.912, + "grad_norm": 0.8421919544242136, + "learning_rate": 2.6203256727859172e-08, + "loss": 0.4023, + "step": 1820 + }, + { + "epoch": 2.9135999999999997, + "grad_norm": 0.8216781699994113, + "learning_rate": 2.5259869080118127e-08, + "loss": 0.4008, + "step": 1821 + }, + { + "epoch": 2.9152, + "grad_norm": 0.9800442506370086, + "learning_rate": 2.4333733448440033e-08, + "loss": 0.577, + "step": 1822 + }, + { + "epoch": 2.9168, + "grad_norm": 1.223023270543174, + "learning_rate": 2.34248530445913e-08, + "loss": 0.6786, + "step": 1823 + }, + { + "epoch": 2.9184, + "grad_norm": 1.0292904741803353, + "learning_rate": 2.2533231020499536e-08, + "loss": 0.6278, + "step": 1824 + }, + { + "epoch": 2.92, + "grad_norm": 0.9575536459093767, + "learning_rate": 2.1658870468241332e-08, + "loss": 0.5548, + "step": 1825 + }, + { + "epoch": 2.9215999999999998, + "grad_norm": 0.9112409992594211, + "learning_rate": 2.0801774420031172e-08, + "loss": 0.4765, + "step": 1826 + }, + { + "epoch": 2.9232, + "grad_norm": 0.9272134004581282, + "learning_rate": 1.9961945848213092e-08, + "loss": 0.3256, + "step": 1827 + }, + { + "epoch": 2.9248, + "grad_norm": 0.7604191272311528, + "learning_rate": 1.9139387665247922e-08, + "loss": 0.4347, + "step": 1828 + }, + { + "epoch": 2.9264, + "grad_norm": 0.9076059883586481, + "learning_rate": 1.8334102723703286e-08, + "loss": 0.4715, + "step": 1829 + }, + { + "epoch": 2.928, + "grad_norm": 1.0102556282706276, + "learning_rate": 1.754609381624639e-08, + "loss": 0.6792, + "step": 1830 + }, + { + "epoch": 2.9295999999999998, + "grad_norm": 0.9182388853498075, + "learning_rate": 1.677536367563126e-08, + "loss": 0.4526, + "step": 1831 + }, + { + "epoch": 2.9312, + "grad_norm": 1.0821328510966655, + "learning_rate": 1.6021914974690413e-08, + "loss": 0.5027, + "step": 1832 + }, + { + "epoch": 2.9328, + "grad_norm": 1.0481489569364173, + "learning_rate": 1.5285750326325953e-08, + "loss": 0.7295, + "step": 1833 + }, + { + "epoch": 2.9344, + "grad_norm": 1.0058485179008962, + "learning_rate": 1.4566872283500733e-08, + "loss": 0.636, + "step": 1834 + }, + { + "epoch": 2.936, + "grad_norm": 1.0412473663197401, + "learning_rate": 1.3865283339228319e-08, + "loss": 0.5516, + "step": 1835 + }, + { + "epoch": 2.9375999999999998, + "grad_norm": 0.7609252138523108, + "learning_rate": 1.3180985926564693e-08, + "loss": 0.4838, + "step": 1836 + }, + { + "epoch": 2.9392, + "grad_norm": 1.1032529717834951, + "learning_rate": 1.2513982418601024e-08, + "loss": 0.5476, + "step": 1837 + }, + { + "epoch": 2.9408, + "grad_norm": 1.0831922971527597, + "learning_rate": 1.1864275128454783e-08, + "loss": 0.4526, + "step": 1838 + }, + { + "epoch": 2.9424, + "grad_norm": 0.7400506166918026, + "learning_rate": 1.1231866309259764e-08, + "loss": 0.3346, + "step": 1839 + }, + { + "epoch": 2.944, + "grad_norm": 0.9640678592204933, + "learning_rate": 1.0616758154161633e-08, + "loss": 0.559, + "step": 1840 + }, + { + "epoch": 2.9455999999999998, + "grad_norm": 0.8982123231849045, + "learning_rate": 1.0018952796307934e-08, + "loss": 0.5302, + "step": 1841 + }, + { + "epoch": 2.9472, + "grad_norm": 0.941060865328355, + "learning_rate": 9.438452308841995e-09, + "loss": 0.5808, + "step": 1842 + }, + { + "epoch": 2.9488, + "grad_norm": 0.8803813607496823, + "learning_rate": 8.87525870489514e-09, + "loss": 0.5254, + "step": 1843 + }, + { + "epoch": 2.9504, + "grad_norm": 1.1169655409683366, + "learning_rate": 8.329373937578378e-09, + "loss": 0.6741, + "step": 1844 + }, + { + "epoch": 2.952, + "grad_norm": 0.9707685846711582, + "learning_rate": 7.800799899979061e-09, + "loss": 0.5368, + "step": 1845 + }, + { + "epoch": 2.9536, + "grad_norm": 1.0657318722904765, + "learning_rate": 7.289538425150899e-09, + "loss": 0.5905, + "step": 1846 + }, + { + "epoch": 2.9552, + "grad_norm": 0.9452865407104821, + "learning_rate": 6.7955912861095155e-09, + "loss": 0.5977, + "step": 1847 + }, + { + "epoch": 2.9568, + "grad_norm": 0.9118312275808697, + "learning_rate": 6.31896019582523e-09, + "loss": 0.571, + "step": 1848 + }, + { + "epoch": 2.9584, + "grad_norm": 1.0299071317638093, + "learning_rate": 5.8596468072180665e-09, + "loss": 0.6393, + "step": 1849 + }, + { + "epoch": 2.96, + "grad_norm": 0.7897766327775042, + "learning_rate": 5.417652713152199e-09, + "loss": 0.4784, + "step": 1850 + }, + { + "epoch": 2.9616, + "grad_norm": 0.7981199203915393, + "learning_rate": 4.992979446428736e-09, + "loss": 0.4134, + "step": 1851 + }, + { + "epoch": 2.9632, + "grad_norm": 1.187210869908459, + "learning_rate": 4.585628479781279e-09, + "loss": 0.4586, + "step": 1852 + }, + { + "epoch": 2.9648, + "grad_norm": 0.6960407653490429, + "learning_rate": 4.195601225872592e-09, + "loss": 0.3188, + "step": 1853 + }, + { + "epoch": 2.9664, + "grad_norm": 0.9992176871297235, + "learning_rate": 3.822899037286276e-09, + "loss": 0.4929, + "step": 1854 + }, + { + "epoch": 2.968, + "grad_norm": 1.0207306620965482, + "learning_rate": 3.4675232065256583e-09, + "loss": 0.5049, + "step": 1855 + }, + { + "epoch": 2.9696, + "grad_norm": 0.9015786606691766, + "learning_rate": 3.129474966006574e-09, + "loss": 0.4999, + "step": 1856 + }, + { + "epoch": 2.9712, + "grad_norm": 0.9706573615393184, + "learning_rate": 2.808755488054038e-09, + "loss": 0.5992, + "step": 1857 + }, + { + "epoch": 2.9728, + "grad_norm": 0.7234137116143059, + "learning_rate": 2.5053658848989137e-09, + "loss": 0.3747, + "step": 1858 + }, + { + "epoch": 2.9744, + "grad_norm": 1.1051929123420487, + "learning_rate": 2.219307208672361e-09, + "loss": 0.6691, + "step": 1859 + }, + { + "epoch": 2.976, + "grad_norm": 0.8735024834970568, + "learning_rate": 1.9505804514047266e-09, + "loss": 0.4822, + "step": 1860 + }, + { + "epoch": 2.9776, + "grad_norm": 1.0768083864366322, + "learning_rate": 1.6991865450188827e-09, + "loss": 0.6249, + "step": 1861 + }, + { + "epoch": 2.9792, + "grad_norm": 1.0894270482480275, + "learning_rate": 1.465126361330227e-09, + "loss": 0.6996, + "step": 1862 + }, + { + "epoch": 2.9808, + "grad_norm": 0.9655612363772357, + "learning_rate": 1.2484007120411312e-09, + "loss": 0.5698, + "step": 1863 + }, + { + "epoch": 2.9824, + "grad_norm": 0.9616266425429173, + "learning_rate": 1.0490103487392766e-09, + "loss": 0.5962, + "step": 1864 + }, + { + "epoch": 2.984, + "grad_norm": 1.040108530522099, + "learning_rate": 8.669559628954327e-10, + "loss": 0.3869, + "step": 1865 + }, + { + "epoch": 2.9856, + "grad_norm": 0.8586655065163483, + "learning_rate": 7.02238185860682e-10, + "loss": 0.522, + "step": 1866 + }, + { + "epoch": 2.9872, + "grad_norm": 0.8400689514126244, + "learning_rate": 5.54857588862534e-10, + "loss": 0.4692, + "step": 1867 + }, + { + "epoch": 2.9888, + "grad_norm": 1.0257772892218056, + "learning_rate": 4.2481468300603625e-10, + "loss": 0.6331, + "step": 1868 + }, + { + "epoch": 2.9904, + "grad_norm": 1.0477332250877671, + "learning_rate": 3.1210991927044244e-10, + "loss": 0.5845, + "step": 1869 + }, + { + "epoch": 2.992, + "grad_norm": 0.8218386967421416, + "learning_rate": 2.167436885064378e-10, + "loss": 0.5359, + "step": 1870 + }, + { + "epoch": 2.9936, + "grad_norm": 0.9216931045691216, + "learning_rate": 1.387163214372489e-10, + "loss": 0.3568, + "step": 1871 + }, + { + "epoch": 2.9952, + "grad_norm": 0.7960561651454994, + "learning_rate": 7.80280886558682e-11, + "loss": 0.4585, + "step": 1872 + }, + { + "epoch": 2.9968, + "grad_norm": 0.854304909671456, + "learning_rate": 3.467920062394381e-11, + "loss": 0.4056, + "step": 1873 + }, + { + "epoch": 2.9984, + "grad_norm": 0.7788636400445171, + "learning_rate": 8.669807672334606e-12, + "loss": 0.4405, + "step": 1874 + }, + { + "epoch": 3.0, + "grad_norm": 0.9117903366366832, + "learning_rate": 0.0, + "loss": 0.4754, + "step": 1875 + }, + { + "epoch": 3.0, + "step": 1875, + "total_flos": 1060946637111296.0, + "train_loss": 0.7549448100566865, + "train_runtime": 19284.8604, + "train_samples_per_second": 1.556, + "train_steps_per_second": 0.097 + } + ], + "logging_steps": 1, + "max_steps": 1875, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 200, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 1060946637111296.0, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}