diff --git "a/.ipynb_checkpoints/trainer_state-checkpoint.json" "b/.ipynb_checkpoints/trainer_state-checkpoint.json" new file mode 100644--- /dev/null +++ "b/.ipynb_checkpoints/trainer_state-checkpoint.json" @@ -0,0 +1,36016 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.5717092337917484, + "global_step": 6000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 6.9856793573174994e-09, + "loss": 1.4395, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 1.3971358714634999e-08, + "loss": 1.378, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 2.09570380719525e-08, + "loss": 1.587, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 2.7942717429269998e-08, + "loss": 1.477, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 3.49283967865875e-08, + "loss": 1.5244, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 4.1914076143905e-08, + "loss": 1.3167, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 4.8899755501222494e-08, + "loss": 1.3262, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 5.5885434858539996e-08, + "loss": 1.4078, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 6.28711142158575e-08, + "loss": 1.1713, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 6.9856793573175e-08, + "loss": 1.4081, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 7.684247293049249e-08, + "loss": 1.5938, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 8.382815228781e-08, + "loss": 1.5224, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 9.08138316451275e-08, + "loss": 1.3292, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 9.779951100244499e-08, + "loss": 1.5055, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 1.047851903597625e-07, + "loss": 1.4238, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 1.1177086971707999e-07, + "loss": 1.7046, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 1.1875654907439749e-07, + "loss": 1.2096, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 1.25742228431715e-07, + "loss": 1.5781, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 1.327279077890325e-07, + "loss": 1.5714, + "step": 19 + }, + { + "epoch": 0.01, + "learning_rate": 1.3971358714635e-07, + "loss": 1.4642, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 1.466992665036675e-07, + "loss": 1.4648, + "step": 21 + }, + { + "epoch": 0.01, + "learning_rate": 1.5368494586098498e-07, + "loss": 1.4606, + "step": 22 + }, + { + "epoch": 0.01, + "learning_rate": 1.606706252183025e-07, + "loss": 1.2654, + "step": 23 + }, + { + "epoch": 0.01, + "learning_rate": 1.6765630457562e-07, + "loss": 1.1986, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 1.746419839329375e-07, + "loss": 1.5095, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 1.81627663290255e-07, + "loss": 1.2356, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 1.8861334264757248e-07, + "loss": 1.3246, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 1.9559902200488998e-07, + "loss": 1.5105, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 2.025847013622075e-07, + "loss": 1.3697, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 2.09570380719525e-07, + "loss": 1.5698, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 2.165560600768425e-07, + "loss": 1.3552, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 2.2354173943415998e-07, + "loss": 1.5244, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 2.3052741879147748e-07, + "loss": 1.3645, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 2.3751309814879497e-07, + "loss": 1.4106, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 2.444987775061125e-07, + "loss": 1.4133, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 2.5148445686343e-07, + "loss": 1.6173, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 2.584701362207475e-07, + "loss": 1.5613, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 2.65455815578065e-07, + "loss": 1.3876, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 2.724414949353825e-07, + "loss": 1.5248, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 2.794271742927e-07, + "loss": 1.2577, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 2.864128536500175e-07, + "loss": 1.4868, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 2.93398533007335e-07, + "loss": 1.3306, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 3.003842123646525e-07, + "loss": 1.4708, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 3.0736989172196997e-07, + "loss": 1.5021, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 3.1435557107928746e-07, + "loss": 1.3023, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 3.21341250436605e-07, + "loss": 1.3778, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 3.2832692979392245e-07, + "loss": 1.3115, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 3.3531260915124e-07, + "loss": 1.3999, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 3.4229828850855744e-07, + "loss": 1.4823, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 3.49283967865875e-07, + "loss": 1.4549, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 3.562696472231925e-07, + "loss": 1.3512, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 3.6325532658051e-07, + "loss": 1.3154, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 3.7024100593782747e-07, + "loss": 1.6101, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 3.7722668529514497e-07, + "loss": 1.3029, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 3.8421236465246246e-07, + "loss": 1.2815, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 3.9119804400977996e-07, + "loss": 1.3324, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 3.981837233670975e-07, + "loss": 1.5183, + "step": 57 + }, + { + "epoch": 0.02, + "learning_rate": 4.05169402724415e-07, + "loss": 1.3837, + "step": 58 + }, + { + "epoch": 0.02, + "learning_rate": 4.121550820817325e-07, + "loss": 1.4974, + "step": 59 + }, + { + "epoch": 0.02, + "learning_rate": 4.1914076143905e-07, + "loss": 1.5105, + "step": 60 + }, + { + "epoch": 0.02, + "learning_rate": 4.261264407963675e-07, + "loss": 1.3823, + "step": 61 + }, + { + "epoch": 0.02, + "learning_rate": 4.33112120153685e-07, + "loss": 1.616, + "step": 62 + }, + { + "epoch": 0.02, + "learning_rate": 4.4009779951100247e-07, + "loss": 1.5144, + "step": 63 + }, + { + "epoch": 0.02, + "learning_rate": 4.4708347886831996e-07, + "loss": 1.5093, + "step": 64 + }, + { + "epoch": 0.02, + "learning_rate": 4.540691582256375e-07, + "loss": 1.2671, + "step": 65 + }, + { + "epoch": 0.02, + "learning_rate": 4.6105483758295495e-07, + "loss": 1.3624, + "step": 66 + }, + { + "epoch": 0.02, + "learning_rate": 4.680405169402725e-07, + "loss": 1.484, + "step": 67 + }, + { + "epoch": 0.02, + "learning_rate": 4.7502619629758994e-07, + "loss": 1.5003, + "step": 68 + }, + { + "epoch": 0.02, + "learning_rate": 4.820118756549074e-07, + "loss": 1.4087, + "step": 69 + }, + { + "epoch": 0.02, + "learning_rate": 4.88997555012225e-07, + "loss": 1.4172, + "step": 70 + }, + { + "epoch": 0.02, + "learning_rate": 4.959832343695424e-07, + "loss": 1.4386, + "step": 71 + }, + { + "epoch": 0.02, + "learning_rate": 5.0296891372686e-07, + "loss": 1.2307, + "step": 72 + }, + { + "epoch": 0.02, + "learning_rate": 5.099545930841775e-07, + "loss": 1.3619, + "step": 73 + }, + { + "epoch": 0.02, + "learning_rate": 5.16940272441495e-07, + "loss": 1.3267, + "step": 74 + }, + { + "epoch": 0.02, + "learning_rate": 5.239259517988125e-07, + "loss": 1.3124, + "step": 75 + }, + { + "epoch": 0.02, + "learning_rate": 5.3091163115613e-07, + "loss": 1.4446, + "step": 76 + }, + { + "epoch": 0.02, + "learning_rate": 5.378973105134475e-07, + "loss": 1.3285, + "step": 77 + }, + { + "epoch": 0.02, + "learning_rate": 5.44882989870765e-07, + "loss": 1.5004, + "step": 78 + }, + { + "epoch": 0.02, + "learning_rate": 5.518686692280825e-07, + "loss": 1.3193, + "step": 79 + }, + { + "epoch": 0.02, + "learning_rate": 5.588543485854e-07, + "loss": 1.3796, + "step": 80 + }, + { + "epoch": 0.02, + "learning_rate": 5.658400279427175e-07, + "loss": 1.3663, + "step": 81 + }, + { + "epoch": 0.02, + "learning_rate": 5.72825707300035e-07, + "loss": 1.5603, + "step": 82 + }, + { + "epoch": 0.02, + "learning_rate": 5.798113866573525e-07, + "loss": 1.4815, + "step": 83 + }, + { + "epoch": 0.02, + "learning_rate": 5.8679706601467e-07, + "loss": 1.3132, + "step": 84 + }, + { + "epoch": 0.02, + "learning_rate": 5.937827453719875e-07, + "loss": 1.3939, + "step": 85 + }, + { + "epoch": 0.02, + "learning_rate": 6.00768424729305e-07, + "loss": 1.5233, + "step": 86 + }, + { + "epoch": 0.02, + "learning_rate": 6.077541040866225e-07, + "loss": 1.4247, + "step": 87 + }, + { + "epoch": 0.02, + "learning_rate": 6.147397834439399e-07, + "loss": 1.3964, + "step": 88 + }, + { + "epoch": 0.02, + "learning_rate": 6.217254628012575e-07, + "loss": 1.4369, + "step": 89 + }, + { + "epoch": 0.02, + "learning_rate": 6.287111421585749e-07, + "loss": 1.4345, + "step": 90 + }, + { + "epoch": 0.02, + "learning_rate": 6.356968215158925e-07, + "loss": 1.274, + "step": 91 + }, + { + "epoch": 0.02, + "learning_rate": 6.4268250087321e-07, + "loss": 1.4396, + "step": 92 + }, + { + "epoch": 0.02, + "learning_rate": 6.496681802305274e-07, + "loss": 1.4857, + "step": 93 + }, + { + "epoch": 0.02, + "learning_rate": 6.566538595878449e-07, + "loss": 1.4514, + "step": 94 + }, + { + "epoch": 0.02, + "learning_rate": 6.636395389451625e-07, + "loss": 1.3358, + "step": 95 + }, + { + "epoch": 0.03, + "learning_rate": 6.7062521830248e-07, + "loss": 1.4524, + "step": 96 + }, + { + "epoch": 0.03, + "learning_rate": 6.776108976597975e-07, + "loss": 1.2834, + "step": 97 + }, + { + "epoch": 0.03, + "learning_rate": 6.845965770171149e-07, + "loss": 1.5804, + "step": 98 + }, + { + "epoch": 0.03, + "learning_rate": 6.915822563744325e-07, + "loss": 1.3692, + "step": 99 + }, + { + "epoch": 0.03, + "learning_rate": 6.9856793573175e-07, + "loss": 1.2872, + "step": 100 + }, + { + "epoch": 0.03, + "learning_rate": 7.055536150890676e-07, + "loss": 1.4223, + "step": 101 + }, + { + "epoch": 0.03, + "learning_rate": 7.12539294446385e-07, + "loss": 1.2648, + "step": 102 + }, + { + "epoch": 0.03, + "learning_rate": 7.195249738037025e-07, + "loss": 1.4832, + "step": 103 + }, + { + "epoch": 0.03, + "learning_rate": 7.2651065316102e-07, + "loss": 1.4123, + "step": 104 + }, + { + "epoch": 0.03, + "learning_rate": 7.334963325183376e-07, + "loss": 1.2506, + "step": 105 + }, + { + "epoch": 0.03, + "learning_rate": 7.404820118756549e-07, + "loss": 1.3025, + "step": 106 + }, + { + "epoch": 0.03, + "learning_rate": 7.474676912329724e-07, + "loss": 1.6453, + "step": 107 + }, + { + "epoch": 0.03, + "learning_rate": 7.544533705902899e-07, + "loss": 1.3191, + "step": 108 + }, + { + "epoch": 0.03, + "learning_rate": 7.614390499476075e-07, + "loss": 1.2377, + "step": 109 + }, + { + "epoch": 0.03, + "learning_rate": 7.684247293049249e-07, + "loss": 1.3758, + "step": 110 + }, + { + "epoch": 0.03, + "learning_rate": 7.754104086622424e-07, + "loss": 1.2395, + "step": 111 + }, + { + "epoch": 0.03, + "learning_rate": 7.823960880195599e-07, + "loss": 1.3322, + "step": 112 + }, + { + "epoch": 0.03, + "learning_rate": 7.893817673768775e-07, + "loss": 1.4124, + "step": 113 + }, + { + "epoch": 0.03, + "learning_rate": 7.96367446734195e-07, + "loss": 1.6356, + "step": 114 + }, + { + "epoch": 0.03, + "learning_rate": 8.033531260915124e-07, + "loss": 1.4947, + "step": 115 + }, + { + "epoch": 0.03, + "learning_rate": 8.1033880544883e-07, + "loss": 1.4247, + "step": 116 + }, + { + "epoch": 0.03, + "learning_rate": 8.173244848061475e-07, + "loss": 1.4601, + "step": 117 + }, + { + "epoch": 0.03, + "learning_rate": 8.24310164163465e-07, + "loss": 1.4397, + "step": 118 + }, + { + "epoch": 0.03, + "learning_rate": 8.312958435207824e-07, + "loss": 1.1851, + "step": 119 + }, + { + "epoch": 0.03, + "learning_rate": 8.382815228781e-07, + "loss": 1.4321, + "step": 120 + }, + { + "epoch": 0.03, + "learning_rate": 8.452672022354175e-07, + "loss": 1.2376, + "step": 121 + }, + { + "epoch": 0.03, + "learning_rate": 8.52252881592735e-07, + "loss": 1.1986, + "step": 122 + }, + { + "epoch": 0.03, + "learning_rate": 8.592385609500524e-07, + "loss": 1.3787, + "step": 123 + }, + { + "epoch": 0.03, + "learning_rate": 8.6622424030737e-07, + "loss": 1.3585, + "step": 124 + }, + { + "epoch": 0.03, + "learning_rate": 8.732099196646874e-07, + "loss": 1.2539, + "step": 125 + }, + { + "epoch": 0.03, + "learning_rate": 8.801955990220049e-07, + "loss": 1.6212, + "step": 126 + }, + { + "epoch": 0.03, + "learning_rate": 8.871812783793225e-07, + "loss": 1.398, + "step": 127 + }, + { + "epoch": 0.03, + "learning_rate": 8.941669577366399e-07, + "loss": 1.3806, + "step": 128 + }, + { + "epoch": 0.03, + "learning_rate": 9.011526370939574e-07, + "loss": 1.4171, + "step": 129 + }, + { + "epoch": 0.03, + "learning_rate": 9.08138316451275e-07, + "loss": 1.2667, + "step": 130 + }, + { + "epoch": 0.03, + "learning_rate": 9.151239958085925e-07, + "loss": 1.2492, + "step": 131 + }, + { + "epoch": 0.03, + "learning_rate": 9.221096751659099e-07, + "loss": 1.1939, + "step": 132 + }, + { + "epoch": 0.03, + "learning_rate": 9.290953545232274e-07, + "loss": 1.5278, + "step": 133 + }, + { + "epoch": 0.04, + "learning_rate": 9.36081033880545e-07, + "loss": 1.4402, + "step": 134 + }, + { + "epoch": 0.04, + "learning_rate": 9.430667132378625e-07, + "loss": 1.4659, + "step": 135 + }, + { + "epoch": 0.04, + "learning_rate": 9.500523925951799e-07, + "loss": 1.2736, + "step": 136 + }, + { + "epoch": 0.04, + "learning_rate": 9.570380719524975e-07, + "loss": 1.3346, + "step": 137 + }, + { + "epoch": 0.04, + "learning_rate": 9.640237513098149e-07, + "loss": 1.3891, + "step": 138 + }, + { + "epoch": 0.04, + "learning_rate": 9.710094306671325e-07, + "loss": 1.3055, + "step": 139 + }, + { + "epoch": 0.04, + "learning_rate": 9.7799511002445e-07, + "loss": 1.3461, + "step": 140 + }, + { + "epoch": 0.04, + "learning_rate": 9.849807893817675e-07, + "loss": 1.6012, + "step": 141 + }, + { + "epoch": 0.04, + "learning_rate": 9.919664687390849e-07, + "loss": 1.266, + "step": 142 + }, + { + "epoch": 0.04, + "learning_rate": 9.989521480964025e-07, + "loss": 1.2874, + "step": 143 + }, + { + "epoch": 0.04, + "learning_rate": 1.00593782745372e-06, + "loss": 1.2581, + "step": 144 + }, + { + "epoch": 0.04, + "learning_rate": 1.0129235068110374e-06, + "loss": 1.2244, + "step": 145 + }, + { + "epoch": 0.04, + "learning_rate": 1.019909186168355e-06, + "loss": 1.5638, + "step": 146 + }, + { + "epoch": 0.04, + "learning_rate": 1.0268948655256724e-06, + "loss": 1.4074, + "step": 147 + }, + { + "epoch": 0.04, + "learning_rate": 1.03388054488299e-06, + "loss": 1.3958, + "step": 148 + }, + { + "epoch": 0.04, + "learning_rate": 1.0408662242403074e-06, + "loss": 1.2429, + "step": 149 + }, + { + "epoch": 0.04, + "learning_rate": 1.047851903597625e-06, + "loss": 1.4675, + "step": 150 + }, + { + "epoch": 0.04, + "learning_rate": 1.0548375829549424e-06, + "loss": 1.3431, + "step": 151 + }, + { + "epoch": 0.04, + "learning_rate": 1.06182326231226e-06, + "loss": 1.5155, + "step": 152 + }, + { + "epoch": 0.04, + "learning_rate": 1.0688089416695776e-06, + "loss": 1.252, + "step": 153 + }, + { + "epoch": 0.04, + "learning_rate": 1.075794621026895e-06, + "loss": 1.3245, + "step": 154 + }, + { + "epoch": 0.04, + "learning_rate": 1.0827803003842124e-06, + "loss": 1.4067, + "step": 155 + }, + { + "epoch": 0.04, + "learning_rate": 1.08976597974153e-06, + "loss": 1.3396, + "step": 156 + }, + { + "epoch": 0.04, + "learning_rate": 1.0967516590988476e-06, + "loss": 1.2332, + "step": 157 + }, + { + "epoch": 0.04, + "learning_rate": 1.103737338456165e-06, + "loss": 1.2938, + "step": 158 + }, + { + "epoch": 0.04, + "learning_rate": 1.1107230178134824e-06, + "loss": 1.3361, + "step": 159 + }, + { + "epoch": 0.04, + "learning_rate": 1.1177086971708e-06, + "loss": 1.3835, + "step": 160 + }, + { + "epoch": 0.04, + "learning_rate": 1.1246943765281176e-06, + "loss": 1.3198, + "step": 161 + }, + { + "epoch": 0.04, + "learning_rate": 1.131680055885435e-06, + "loss": 1.3486, + "step": 162 + }, + { + "epoch": 0.04, + "learning_rate": 1.1386657352427523e-06, + "loss": 1.41, + "step": 163 + }, + { + "epoch": 0.04, + "learning_rate": 1.14565141460007e-06, + "loss": 1.2313, + "step": 164 + }, + { + "epoch": 0.04, + "learning_rate": 1.1526370939573875e-06, + "loss": 1.3744, + "step": 165 + }, + { + "epoch": 0.04, + "learning_rate": 1.159622773314705e-06, + "loss": 1.3904, + "step": 166 + }, + { + "epoch": 0.04, + "learning_rate": 1.1666084526720223e-06, + "loss": 1.4053, + "step": 167 + }, + { + "epoch": 0.04, + "learning_rate": 1.17359413202934e-06, + "loss": 1.2505, + "step": 168 + }, + { + "epoch": 0.04, + "learning_rate": 1.1805798113866575e-06, + "loss": 1.4309, + "step": 169 + }, + { + "epoch": 0.04, + "learning_rate": 1.187565490743975e-06, + "loss": 1.4312, + "step": 170 + }, + { + "epoch": 0.04, + "learning_rate": 1.1945511701012923e-06, + "loss": 1.405, + "step": 171 + }, + { + "epoch": 0.05, + "learning_rate": 1.20153684945861e-06, + "loss": 1.2493, + "step": 172 + }, + { + "epoch": 0.05, + "learning_rate": 1.2085225288159275e-06, + "loss": 1.2524, + "step": 173 + }, + { + "epoch": 0.05, + "learning_rate": 1.215508208173245e-06, + "loss": 1.3255, + "step": 174 + }, + { + "epoch": 0.05, + "learning_rate": 1.2224938875305625e-06, + "loss": 1.2766, + "step": 175 + }, + { + "epoch": 0.05, + "learning_rate": 1.2294795668878799e-06, + "loss": 1.3791, + "step": 176 + }, + { + "epoch": 0.05, + "learning_rate": 1.2364652462451975e-06, + "loss": 1.297, + "step": 177 + }, + { + "epoch": 0.05, + "learning_rate": 1.243450925602515e-06, + "loss": 1.2294, + "step": 178 + }, + { + "epoch": 0.05, + "learning_rate": 1.2504366049598325e-06, + "loss": 1.4998, + "step": 179 + }, + { + "epoch": 0.05, + "learning_rate": 1.2574222843171499e-06, + "loss": 1.2949, + "step": 180 + }, + { + "epoch": 0.05, + "learning_rate": 1.2644079636744675e-06, + "loss": 1.1852, + "step": 181 + }, + { + "epoch": 0.05, + "learning_rate": 1.271393643031785e-06, + "loss": 1.2807, + "step": 182 + }, + { + "epoch": 0.05, + "learning_rate": 1.2783793223891024e-06, + "loss": 1.6925, + "step": 183 + }, + { + "epoch": 0.05, + "learning_rate": 1.28536500174642e-06, + "loss": 1.3192, + "step": 184 + }, + { + "epoch": 0.05, + "learning_rate": 1.2923506811037376e-06, + "loss": 1.3157, + "step": 185 + }, + { + "epoch": 0.05, + "learning_rate": 1.2993363604610548e-06, + "loss": 1.5452, + "step": 186 + }, + { + "epoch": 0.05, + "learning_rate": 1.3063220398183724e-06, + "loss": 1.3784, + "step": 187 + }, + { + "epoch": 0.05, + "learning_rate": 1.3133077191756898e-06, + "loss": 1.3431, + "step": 188 + }, + { + "epoch": 0.05, + "learning_rate": 1.3202933985330074e-06, + "loss": 1.3853, + "step": 189 + }, + { + "epoch": 0.05, + "learning_rate": 1.327279077890325e-06, + "loss": 1.015, + "step": 190 + }, + { + "epoch": 0.05, + "learning_rate": 1.3342647572476424e-06, + "loss": 1.2661, + "step": 191 + }, + { + "epoch": 0.05, + "learning_rate": 1.34125043660496e-06, + "loss": 1.3743, + "step": 192 + }, + { + "epoch": 0.05, + "learning_rate": 1.3482361159622776e-06, + "loss": 1.3612, + "step": 193 + }, + { + "epoch": 0.05, + "learning_rate": 1.355221795319595e-06, + "loss": 1.4087, + "step": 194 + }, + { + "epoch": 0.05, + "learning_rate": 1.3622074746769124e-06, + "loss": 1.1743, + "step": 195 + }, + { + "epoch": 0.05, + "learning_rate": 1.3691931540342298e-06, + "loss": 1.4002, + "step": 196 + }, + { + "epoch": 0.05, + "learning_rate": 1.3761788333915474e-06, + "loss": 1.2383, + "step": 197 + }, + { + "epoch": 0.05, + "learning_rate": 1.383164512748865e-06, + "loss": 1.2123, + "step": 198 + }, + { + "epoch": 0.05, + "learning_rate": 1.3901501921061826e-06, + "loss": 1.4371, + "step": 199 + }, + { + "epoch": 0.05, + "learning_rate": 1.3971358714635e-06, + "loss": 1.3212, + "step": 200 + }, + { + "epoch": 0.05, + "learning_rate": 1.4041215508208176e-06, + "loss": 1.4153, + "step": 201 + }, + { + "epoch": 0.05, + "learning_rate": 1.4111072301781352e-06, + "loss": 1.2589, + "step": 202 + }, + { + "epoch": 0.05, + "learning_rate": 1.4180929095354523e-06, + "loss": 1.2864, + "step": 203 + }, + { + "epoch": 0.05, + "learning_rate": 1.42507858889277e-06, + "loss": 1.3421, + "step": 204 + }, + { + "epoch": 0.05, + "learning_rate": 1.4320642682500873e-06, + "loss": 1.461, + "step": 205 + }, + { + "epoch": 0.05, + "learning_rate": 1.439049947607405e-06, + "loss": 1.1337, + "step": 206 + }, + { + "epoch": 0.05, + "learning_rate": 1.4460356269647225e-06, + "loss": 1.3503, + "step": 207 + }, + { + "epoch": 0.05, + "learning_rate": 1.45302130632204e-06, + "loss": 1.1948, + "step": 208 + }, + { + "epoch": 0.05, + "learning_rate": 1.4600069856793575e-06, + "loss": 1.2287, + "step": 209 + }, + { + "epoch": 0.06, + "learning_rate": 1.4669926650366751e-06, + "loss": 1.3381, + "step": 210 + }, + { + "epoch": 0.06, + "learning_rate": 1.4739783443939925e-06, + "loss": 1.2314, + "step": 211 + }, + { + "epoch": 0.06, + "learning_rate": 1.4809640237513099e-06, + "loss": 1.5321, + "step": 212 + }, + { + "epoch": 0.06, + "learning_rate": 1.4879497031086273e-06, + "loss": 1.4746, + "step": 213 + }, + { + "epoch": 0.06, + "learning_rate": 1.4949353824659449e-06, + "loss": 1.4683, + "step": 214 + }, + { + "epoch": 0.06, + "learning_rate": 1.5019210618232625e-06, + "loss": 1.4426, + "step": 215 + }, + { + "epoch": 0.06, + "learning_rate": 1.5089067411805799e-06, + "loss": 1.2754, + "step": 216 + }, + { + "epoch": 0.06, + "learning_rate": 1.5158924205378975e-06, + "loss": 1.3198, + "step": 217 + }, + { + "epoch": 0.06, + "learning_rate": 1.522878099895215e-06, + "loss": 1.2375, + "step": 218 + }, + { + "epoch": 0.06, + "learning_rate": 1.5298637792525325e-06, + "loss": 1.3457, + "step": 219 + }, + { + "epoch": 0.06, + "learning_rate": 1.5368494586098498e-06, + "loss": 1.331, + "step": 220 + }, + { + "epoch": 0.06, + "learning_rate": 1.5438351379671672e-06, + "loss": 1.2428, + "step": 221 + }, + { + "epoch": 0.06, + "learning_rate": 1.5508208173244848e-06, + "loss": 1.2373, + "step": 222 + }, + { + "epoch": 0.06, + "learning_rate": 1.5578064966818024e-06, + "loss": 1.3366, + "step": 223 + }, + { + "epoch": 0.06, + "learning_rate": 1.5647921760391198e-06, + "loss": 1.4088, + "step": 224 + }, + { + "epoch": 0.06, + "learning_rate": 1.5717778553964374e-06, + "loss": 1.244, + "step": 225 + }, + { + "epoch": 0.06, + "learning_rate": 1.578763534753755e-06, + "loss": 1.2542, + "step": 226 + }, + { + "epoch": 0.06, + "learning_rate": 1.5857492141110726e-06, + "loss": 1.3669, + "step": 227 + }, + { + "epoch": 0.06, + "learning_rate": 1.59273489346839e-06, + "loss": 1.3214, + "step": 228 + }, + { + "epoch": 0.06, + "learning_rate": 1.5997205728257074e-06, + "loss": 1.3409, + "step": 229 + }, + { + "epoch": 0.06, + "learning_rate": 1.6067062521830248e-06, + "loss": 1.2829, + "step": 230 + }, + { + "epoch": 0.06, + "learning_rate": 1.6136919315403424e-06, + "loss": 1.315, + "step": 231 + }, + { + "epoch": 0.06, + "learning_rate": 1.62067761089766e-06, + "loss": 1.5036, + "step": 232 + }, + { + "epoch": 0.06, + "learning_rate": 1.6276632902549774e-06, + "loss": 1.3839, + "step": 233 + }, + { + "epoch": 0.06, + "learning_rate": 1.634648969612295e-06, + "loss": 1.3303, + "step": 234 + }, + { + "epoch": 0.06, + "learning_rate": 1.6416346489696126e-06, + "loss": 1.4581, + "step": 235 + }, + { + "epoch": 0.06, + "learning_rate": 1.64862032832693e-06, + "loss": 1.1864, + "step": 236 + }, + { + "epoch": 0.06, + "learning_rate": 1.6556060076842476e-06, + "loss": 1.3906, + "step": 237 + }, + { + "epoch": 0.06, + "learning_rate": 1.6625916870415647e-06, + "loss": 1.1208, + "step": 238 + }, + { + "epoch": 0.06, + "learning_rate": 1.6695773663988823e-06, + "loss": 1.388, + "step": 239 + }, + { + "epoch": 0.06, + "learning_rate": 1.6765630457562e-06, + "loss": 1.2578, + "step": 240 + }, + { + "epoch": 0.06, + "learning_rate": 1.6835487251135173e-06, + "loss": 1.5461, + "step": 241 + }, + { + "epoch": 0.06, + "learning_rate": 1.690534404470835e-06, + "loss": 1.323, + "step": 242 + }, + { + "epoch": 0.06, + "learning_rate": 1.6975200838281525e-06, + "loss": 1.2719, + "step": 243 + }, + { + "epoch": 0.06, + "learning_rate": 1.70450576318547e-06, + "loss": 1.4094, + "step": 244 + }, + { + "epoch": 0.06, + "learning_rate": 1.7114914425427875e-06, + "loss": 1.2282, + "step": 245 + }, + { + "epoch": 0.06, + "learning_rate": 1.7184771219001047e-06, + "loss": 1.2858, + "step": 246 + }, + { + "epoch": 0.06, + "learning_rate": 1.7254628012574223e-06, + "loss": 1.3895, + "step": 247 + }, + { + "epoch": 0.06, + "learning_rate": 1.73244848061474e-06, + "loss": 1.4129, + "step": 248 + }, + { + "epoch": 0.07, + "learning_rate": 1.7394341599720573e-06, + "loss": 1.4079, + "step": 249 + }, + { + "epoch": 0.07, + "learning_rate": 1.7464198393293749e-06, + "loss": 1.2564, + "step": 250 + }, + { + "epoch": 0.07, + "learning_rate": 1.7534055186866925e-06, + "loss": 1.2452, + "step": 251 + }, + { + "epoch": 0.07, + "learning_rate": 1.7603911980440099e-06, + "loss": 1.5228, + "step": 252 + }, + { + "epoch": 0.07, + "learning_rate": 1.7673768774013275e-06, + "loss": 1.5038, + "step": 253 + }, + { + "epoch": 0.07, + "learning_rate": 1.774362556758645e-06, + "loss": 1.3066, + "step": 254 + }, + { + "epoch": 0.07, + "learning_rate": 1.7813482361159623e-06, + "loss": 1.281, + "step": 255 + }, + { + "epoch": 0.07, + "learning_rate": 1.7883339154732799e-06, + "loss": 1.3382, + "step": 256 + }, + { + "epoch": 0.07, + "learning_rate": 1.7953195948305975e-06, + "loss": 1.4065, + "step": 257 + }, + { + "epoch": 0.07, + "learning_rate": 1.8023052741879148e-06, + "loss": 1.1652, + "step": 258 + }, + { + "epoch": 0.07, + "learning_rate": 1.8092909535452324e-06, + "loss": 1.1342, + "step": 259 + }, + { + "epoch": 0.07, + "learning_rate": 1.81627663290255e-06, + "loss": 1.5352, + "step": 260 + }, + { + "epoch": 0.07, + "learning_rate": 1.8232623122598674e-06, + "loss": 1.2424, + "step": 261 + }, + { + "epoch": 0.07, + "learning_rate": 1.830247991617185e-06, + "loss": 1.2978, + "step": 262 + }, + { + "epoch": 0.07, + "learning_rate": 1.8372336709745026e-06, + "loss": 1.3306, + "step": 263 + }, + { + "epoch": 0.07, + "learning_rate": 1.8442193503318198e-06, + "loss": 1.3668, + "step": 264 + }, + { + "epoch": 0.07, + "learning_rate": 1.8512050296891374e-06, + "loss": 1.3379, + "step": 265 + }, + { + "epoch": 0.07, + "learning_rate": 1.8581907090464548e-06, + "loss": 1.3002, + "step": 266 + }, + { + "epoch": 0.07, + "learning_rate": 1.8651763884037724e-06, + "loss": 1.376, + "step": 267 + }, + { + "epoch": 0.07, + "learning_rate": 1.87216206776109e-06, + "loss": 1.4188, + "step": 268 + }, + { + "epoch": 0.07, + "learning_rate": 1.8791477471184074e-06, + "loss": 1.2456, + "step": 269 + }, + { + "epoch": 0.07, + "learning_rate": 1.886133426475725e-06, + "loss": 1.331, + "step": 270 + }, + { + "epoch": 0.07, + "learning_rate": 1.8931191058330426e-06, + "loss": 1.4588, + "step": 271 + }, + { + "epoch": 0.07, + "learning_rate": 1.9001047851903598e-06, + "loss": 1.5054, + "step": 272 + }, + { + "epoch": 0.07, + "learning_rate": 1.9070904645476774e-06, + "loss": 1.3551, + "step": 273 + }, + { + "epoch": 0.07, + "learning_rate": 1.914076143904995e-06, + "loss": 1.2043, + "step": 274 + }, + { + "epoch": 0.07, + "learning_rate": 1.9210618232623124e-06, + "loss": 1.2367, + "step": 275 + }, + { + "epoch": 0.07, + "learning_rate": 1.9280475026196297e-06, + "loss": 1.33, + "step": 276 + }, + { + "epoch": 0.07, + "learning_rate": 1.9350331819769476e-06, + "loss": 1.2815, + "step": 277 + }, + { + "epoch": 0.07, + "learning_rate": 1.942018861334265e-06, + "loss": 1.1488, + "step": 278 + }, + { + "epoch": 0.07, + "learning_rate": 1.9490045406915823e-06, + "loss": 1.2798, + "step": 279 + }, + { + "epoch": 0.07, + "learning_rate": 1.9559902200489e-06, + "loss": 1.415, + "step": 280 + }, + { + "epoch": 0.07, + "learning_rate": 1.962975899406217e-06, + "loss": 1.3643, + "step": 281 + }, + { + "epoch": 0.07, + "learning_rate": 1.969961578763535e-06, + "loss": 1.2221, + "step": 282 + }, + { + "epoch": 0.07, + "learning_rate": 1.9769472581208523e-06, + "loss": 1.1345, + "step": 283 + }, + { + "epoch": 0.07, + "learning_rate": 1.9839329374781697e-06, + "loss": 1.2594, + "step": 284 + }, + { + "epoch": 0.07, + "learning_rate": 1.9909186168354875e-06, + "loss": 1.4332, + "step": 285 + }, + { + "epoch": 0.07, + "learning_rate": 1.997904296192805e-06, + "loss": 1.2625, + "step": 286 + }, + { + "epoch": 0.08, + "learning_rate": 2.0048899755501223e-06, + "loss": 1.1755, + "step": 287 + }, + { + "epoch": 0.08, + "learning_rate": 2.01187565490744e-06, + "loss": 1.3266, + "step": 288 + }, + { + "epoch": 0.08, + "learning_rate": 2.018861334264757e-06, + "loss": 1.3081, + "step": 289 + }, + { + "epoch": 0.08, + "learning_rate": 2.025847013622075e-06, + "loss": 1.256, + "step": 290 + }, + { + "epoch": 0.08, + "learning_rate": 2.0328326929793923e-06, + "loss": 1.3574, + "step": 291 + }, + { + "epoch": 0.08, + "learning_rate": 2.03981837233671e-06, + "loss": 1.303, + "step": 292 + }, + { + "epoch": 0.08, + "learning_rate": 2.0468040516940275e-06, + "loss": 1.4058, + "step": 293 + }, + { + "epoch": 0.08, + "learning_rate": 2.053789731051345e-06, + "loss": 1.2674, + "step": 294 + }, + { + "epoch": 0.08, + "learning_rate": 2.0607754104086627e-06, + "loss": 1.4137, + "step": 295 + }, + { + "epoch": 0.08, + "learning_rate": 2.06776108976598e-06, + "loss": 1.3002, + "step": 296 + }, + { + "epoch": 0.08, + "learning_rate": 2.0747467691232974e-06, + "loss": 1.5734, + "step": 297 + }, + { + "epoch": 0.08, + "learning_rate": 2.081732448480615e-06, + "loss": 1.3079, + "step": 298 + }, + { + "epoch": 0.08, + "learning_rate": 2.0887181278379322e-06, + "loss": 1.3744, + "step": 299 + }, + { + "epoch": 0.08, + "learning_rate": 2.09570380719525e-06, + "loss": 1.3763, + "step": 300 + }, + { + "epoch": 0.08, + "learning_rate": 2.1026894865525674e-06, + "loss": 1.2637, + "step": 301 + }, + { + "epoch": 0.08, + "learning_rate": 2.109675165909885e-06, + "loss": 1.4016, + "step": 302 + }, + { + "epoch": 0.08, + "learning_rate": 2.1166608452672026e-06, + "loss": 1.458, + "step": 303 + }, + { + "epoch": 0.08, + "learning_rate": 2.12364652462452e-06, + "loss": 1.3302, + "step": 304 + }, + { + "epoch": 0.08, + "learning_rate": 2.1306322039818374e-06, + "loss": 1.2406, + "step": 305 + }, + { + "epoch": 0.08, + "learning_rate": 2.1376178833391552e-06, + "loss": 1.4229, + "step": 306 + }, + { + "epoch": 0.08, + "learning_rate": 2.144603562696472e-06, + "loss": 1.2181, + "step": 307 + }, + { + "epoch": 0.08, + "learning_rate": 2.15158924205379e-06, + "loss": 1.2442, + "step": 308 + }, + { + "epoch": 0.08, + "learning_rate": 2.1585749214111074e-06, + "loss": 1.3766, + "step": 309 + }, + { + "epoch": 0.08, + "learning_rate": 2.1655606007684248e-06, + "loss": 1.2702, + "step": 310 + }, + { + "epoch": 0.08, + "learning_rate": 2.1725462801257426e-06, + "loss": 1.2899, + "step": 311 + }, + { + "epoch": 0.08, + "learning_rate": 2.17953195948306e-06, + "loss": 1.1227, + "step": 312 + }, + { + "epoch": 0.08, + "learning_rate": 2.1865176388403774e-06, + "loss": 1.3358, + "step": 313 + }, + { + "epoch": 0.08, + "learning_rate": 2.193503318197695e-06, + "loss": 1.3301, + "step": 314 + }, + { + "epoch": 0.08, + "learning_rate": 2.200488997555012e-06, + "loss": 1.3028, + "step": 315 + }, + { + "epoch": 0.08, + "learning_rate": 2.20747467691233e-06, + "loss": 1.2905, + "step": 316 + }, + { + "epoch": 0.08, + "learning_rate": 2.2144603562696473e-06, + "loss": 1.3593, + "step": 317 + }, + { + "epoch": 0.08, + "learning_rate": 2.2214460356269647e-06, + "loss": 1.2956, + "step": 318 + }, + { + "epoch": 0.08, + "learning_rate": 2.2284317149842825e-06, + "loss": 1.4055, + "step": 319 + }, + { + "epoch": 0.08, + "learning_rate": 2.2354173943416e-06, + "loss": 1.2658, + "step": 320 + }, + { + "epoch": 0.08, + "learning_rate": 2.2424030736989173e-06, + "loss": 1.5361, + "step": 321 + }, + { + "epoch": 0.08, + "learning_rate": 2.249388753056235e-06, + "loss": 1.3089, + "step": 322 + }, + { + "epoch": 0.08, + "learning_rate": 2.2563744324135525e-06, + "loss": 1.4515, + "step": 323 + }, + { + "epoch": 0.08, + "learning_rate": 2.26336011177087e-06, + "loss": 1.3313, + "step": 324 + }, + { + "epoch": 0.09, + "learning_rate": 2.2703457911281873e-06, + "loss": 1.2721, + "step": 325 + }, + { + "epoch": 0.09, + "learning_rate": 2.2773314704855047e-06, + "loss": 1.2477, + "step": 326 + }, + { + "epoch": 0.09, + "learning_rate": 2.2843171498428225e-06, + "loss": 1.1197, + "step": 327 + }, + { + "epoch": 0.09, + "learning_rate": 2.29130282920014e-06, + "loss": 1.3109, + "step": 328 + }, + { + "epoch": 0.09, + "learning_rate": 2.2982885085574573e-06, + "loss": 1.2679, + "step": 329 + }, + { + "epoch": 0.09, + "learning_rate": 2.305274187914775e-06, + "loss": 1.278, + "step": 330 + }, + { + "epoch": 0.09, + "learning_rate": 2.3122598672720925e-06, + "loss": 1.4146, + "step": 331 + }, + { + "epoch": 0.09, + "learning_rate": 2.31924554662941e-06, + "loss": 1.2603, + "step": 332 + }, + { + "epoch": 0.09, + "learning_rate": 2.3262312259867273e-06, + "loss": 1.187, + "step": 333 + }, + { + "epoch": 0.09, + "learning_rate": 2.3332169053440446e-06, + "loss": 1.278, + "step": 334 + }, + { + "epoch": 0.09, + "learning_rate": 2.3402025847013625e-06, + "loss": 1.1635, + "step": 335 + }, + { + "epoch": 0.09, + "learning_rate": 2.34718826405868e-06, + "loss": 1.3081, + "step": 336 + }, + { + "epoch": 0.09, + "learning_rate": 2.3541739434159972e-06, + "loss": 1.1724, + "step": 337 + }, + { + "epoch": 0.09, + "learning_rate": 2.361159622773315e-06, + "loss": 1.1738, + "step": 338 + }, + { + "epoch": 0.09, + "learning_rate": 2.3681453021306324e-06, + "loss": 1.1025, + "step": 339 + }, + { + "epoch": 0.09, + "learning_rate": 2.37513098148795e-06, + "loss": 1.2898, + "step": 340 + }, + { + "epoch": 0.09, + "learning_rate": 2.382116660845267e-06, + "loss": 1.374, + "step": 341 + }, + { + "epoch": 0.09, + "learning_rate": 2.3891023402025846e-06, + "loss": 1.3478, + "step": 342 + }, + { + "epoch": 0.09, + "learning_rate": 2.3960880195599024e-06, + "loss": 1.2961, + "step": 343 + }, + { + "epoch": 0.09, + "learning_rate": 2.40307369891722e-06, + "loss": 1.2492, + "step": 344 + }, + { + "epoch": 0.09, + "learning_rate": 2.4100593782745376e-06, + "loss": 1.2347, + "step": 345 + }, + { + "epoch": 0.09, + "learning_rate": 2.417045057631855e-06, + "loss": 1.1512, + "step": 346 + }, + { + "epoch": 0.09, + "learning_rate": 2.4240307369891724e-06, + "loss": 1.2998, + "step": 347 + }, + { + "epoch": 0.09, + "learning_rate": 2.43101641634649e-06, + "loss": 1.266, + "step": 348 + }, + { + "epoch": 0.09, + "learning_rate": 2.4380020957038076e-06, + "loss": 1.2684, + "step": 349 + }, + { + "epoch": 0.09, + "learning_rate": 2.444987775061125e-06, + "loss": 1.2408, + "step": 350 + }, + { + "epoch": 0.09, + "learning_rate": 2.4519734544184424e-06, + "loss": 1.3548, + "step": 351 + }, + { + "epoch": 0.09, + "learning_rate": 2.4589591337757598e-06, + "loss": 1.3596, + "step": 352 + }, + { + "epoch": 0.09, + "learning_rate": 2.4659448131330776e-06, + "loss": 1.516, + "step": 353 + }, + { + "epoch": 0.09, + "learning_rate": 2.472930492490395e-06, + "loss": 1.4587, + "step": 354 + }, + { + "epoch": 0.09, + "learning_rate": 2.4799161718477123e-06, + "loss": 1.2567, + "step": 355 + }, + { + "epoch": 0.09, + "learning_rate": 2.48690185120503e-06, + "loss": 1.5524, + "step": 356 + }, + { + "epoch": 0.09, + "learning_rate": 2.4938875305623475e-06, + "loss": 1.1951, + "step": 357 + }, + { + "epoch": 0.09, + "learning_rate": 2.500873209919665e-06, + "loss": 1.1797, + "step": 358 + }, + { + "epoch": 0.09, + "learning_rate": 2.5078588892769823e-06, + "loss": 1.597, + "step": 359 + }, + { + "epoch": 0.09, + "learning_rate": 2.5148445686342997e-06, + "loss": 1.1578, + "step": 360 + }, + { + "epoch": 0.09, + "learning_rate": 2.5218302479916175e-06, + "loss": 1.1551, + "step": 361 + }, + { + "epoch": 0.09, + "learning_rate": 2.528815927348935e-06, + "loss": 1.2181, + "step": 362 + }, + { + "epoch": 0.1, + "learning_rate": 2.5358016067062523e-06, + "loss": 1.1526, + "step": 363 + }, + { + "epoch": 0.1, + "learning_rate": 2.54278728606357e-06, + "loss": 1.5563, + "step": 364 + }, + { + "epoch": 0.1, + "learning_rate": 2.5497729654208875e-06, + "loss": 1.204, + "step": 365 + }, + { + "epoch": 0.1, + "learning_rate": 2.556758644778205e-06, + "loss": 1.3086, + "step": 366 + }, + { + "epoch": 0.1, + "learning_rate": 2.5637443241355227e-06, + "loss": 1.3867, + "step": 367 + }, + { + "epoch": 0.1, + "learning_rate": 2.57073000349284e-06, + "loss": 1.2053, + "step": 368 + }, + { + "epoch": 0.1, + "learning_rate": 2.5777156828501575e-06, + "loss": 1.3874, + "step": 369 + }, + { + "epoch": 0.1, + "learning_rate": 2.5847013622074753e-06, + "loss": 1.3688, + "step": 370 + }, + { + "epoch": 0.1, + "learning_rate": 2.5916870415647923e-06, + "loss": 1.3529, + "step": 371 + }, + { + "epoch": 0.1, + "learning_rate": 2.5986727209221096e-06, + "loss": 1.197, + "step": 372 + }, + { + "epoch": 0.1, + "learning_rate": 2.605658400279427e-06, + "loss": 1.0984, + "step": 373 + }, + { + "epoch": 0.1, + "learning_rate": 2.612644079636745e-06, + "loss": 1.2969, + "step": 374 + }, + { + "epoch": 0.1, + "learning_rate": 2.6196297589940622e-06, + "loss": 1.2838, + "step": 375 + }, + { + "epoch": 0.1, + "learning_rate": 2.6266154383513796e-06, + "loss": 1.2289, + "step": 376 + }, + { + "epoch": 0.1, + "learning_rate": 2.6336011177086974e-06, + "loss": 1.2428, + "step": 377 + }, + { + "epoch": 0.1, + "learning_rate": 2.640586797066015e-06, + "loss": 1.2951, + "step": 378 + }, + { + "epoch": 0.1, + "learning_rate": 2.647572476423332e-06, + "loss": 1.3031, + "step": 379 + }, + { + "epoch": 0.1, + "learning_rate": 2.65455815578065e-06, + "loss": 1.3135, + "step": 380 + }, + { + "epoch": 0.1, + "learning_rate": 2.6615438351379674e-06, + "loss": 1.1794, + "step": 381 + }, + { + "epoch": 0.1, + "learning_rate": 2.668529514495285e-06, + "loss": 1.1801, + "step": 382 + }, + { + "epoch": 0.1, + "learning_rate": 2.6755151938526026e-06, + "loss": 1.2873, + "step": 383 + }, + { + "epoch": 0.1, + "learning_rate": 2.68250087320992e-06, + "loss": 1.3784, + "step": 384 + }, + { + "epoch": 0.1, + "learning_rate": 2.6894865525672374e-06, + "loss": 1.1401, + "step": 385 + }, + { + "epoch": 0.1, + "learning_rate": 2.696472231924555e-06, + "loss": 1.088, + "step": 386 + }, + { + "epoch": 0.1, + "learning_rate": 2.7034579112818726e-06, + "loss": 1.2689, + "step": 387 + }, + { + "epoch": 0.1, + "learning_rate": 2.71044359063919e-06, + "loss": 1.3174, + "step": 388 + }, + { + "epoch": 0.1, + "learning_rate": 2.717429269996507e-06, + "loss": 1.4157, + "step": 389 + }, + { + "epoch": 0.1, + "learning_rate": 2.7244149493538248e-06, + "loss": 1.4755, + "step": 390 + }, + { + "epoch": 0.1, + "learning_rate": 2.731400628711142e-06, + "loss": 1.3091, + "step": 391 + }, + { + "epoch": 0.1, + "learning_rate": 2.7383863080684595e-06, + "loss": 1.2798, + "step": 392 + }, + { + "epoch": 0.1, + "learning_rate": 2.7453719874257773e-06, + "loss": 1.2112, + "step": 393 + }, + { + "epoch": 0.1, + "learning_rate": 2.7523576667830947e-06, + "loss": 1.292, + "step": 394 + }, + { + "epoch": 0.1, + "learning_rate": 2.759343346140412e-06, + "loss": 1.378, + "step": 395 + }, + { + "epoch": 0.1, + "learning_rate": 2.76632902549773e-06, + "loss": 1.3564, + "step": 396 + }, + { + "epoch": 0.1, + "learning_rate": 2.7733147048550473e-06, + "loss": 1.3591, + "step": 397 + }, + { + "epoch": 0.1, + "learning_rate": 2.780300384212365e-06, + "loss": 1.2549, + "step": 398 + }, + { + "epoch": 0.1, + "learning_rate": 2.7872860635696825e-06, + "loss": 1.3777, + "step": 399 + }, + { + "epoch": 0.1, + "learning_rate": 2.794271742927e-06, + "loss": 1.2019, + "step": 400 + }, + { + "epoch": 0.11, + "learning_rate": 2.8012574222843177e-06, + "loss": 1.128, + "step": 401 + }, + { + "epoch": 0.11, + "learning_rate": 2.808243101641635e-06, + "loss": 1.3522, + "step": 402 + }, + { + "epoch": 0.11, + "learning_rate": 2.8152287809989525e-06, + "loss": 1.5424, + "step": 403 + }, + { + "epoch": 0.11, + "learning_rate": 2.8222144603562703e-06, + "loss": 1.2855, + "step": 404 + }, + { + "epoch": 0.11, + "learning_rate": 2.8292001397135877e-06, + "loss": 1.3095, + "step": 405 + }, + { + "epoch": 0.11, + "learning_rate": 2.8361858190709047e-06, + "loss": 1.2101, + "step": 406 + }, + { + "epoch": 0.11, + "learning_rate": 2.843171498428222e-06, + "loss": 1.4208, + "step": 407 + }, + { + "epoch": 0.11, + "learning_rate": 2.85015717778554e-06, + "loss": 1.2215, + "step": 408 + }, + { + "epoch": 0.11, + "learning_rate": 2.8571428571428573e-06, + "loss": 1.2446, + "step": 409 + }, + { + "epoch": 0.11, + "learning_rate": 2.8641285365001746e-06, + "loss": 1.4605, + "step": 410 + }, + { + "epoch": 0.11, + "learning_rate": 2.8711142158574925e-06, + "loss": 1.3091, + "step": 411 + }, + { + "epoch": 0.11, + "learning_rate": 2.87809989521481e-06, + "loss": 1.3434, + "step": 412 + }, + { + "epoch": 0.11, + "learning_rate": 2.8850855745721272e-06, + "loss": 1.3562, + "step": 413 + }, + { + "epoch": 0.11, + "learning_rate": 2.892071253929445e-06, + "loss": 1.2633, + "step": 414 + }, + { + "epoch": 0.11, + "learning_rate": 2.8990569332867624e-06, + "loss": 1.4233, + "step": 415 + }, + { + "epoch": 0.11, + "learning_rate": 2.90604261264408e-06, + "loss": 1.1229, + "step": 416 + }, + { + "epoch": 0.11, + "learning_rate": 2.9130282920013976e-06, + "loss": 1.3928, + "step": 417 + }, + { + "epoch": 0.11, + "learning_rate": 2.920013971358715e-06, + "loss": 1.5127, + "step": 418 + }, + { + "epoch": 0.11, + "learning_rate": 2.9269996507160324e-06, + "loss": 1.1098, + "step": 419 + }, + { + "epoch": 0.11, + "learning_rate": 2.9339853300733502e-06, + "loss": 1.3364, + "step": 420 + }, + { + "epoch": 0.11, + "learning_rate": 2.9409710094306676e-06, + "loss": 1.4362, + "step": 421 + }, + { + "epoch": 0.11, + "learning_rate": 2.947956688787985e-06, + "loss": 1.2468, + "step": 422 + }, + { + "epoch": 0.11, + "learning_rate": 2.954942368145302e-06, + "loss": 1.2906, + "step": 423 + }, + { + "epoch": 0.11, + "learning_rate": 2.9619280475026198e-06, + "loss": 1.3927, + "step": 424 + }, + { + "epoch": 0.11, + "learning_rate": 2.968913726859937e-06, + "loss": 1.0892, + "step": 425 + }, + { + "epoch": 0.11, + "learning_rate": 2.9758994062172546e-06, + "loss": 1.3447, + "step": 426 + }, + { + "epoch": 0.11, + "learning_rate": 2.9828850855745724e-06, + "loss": 1.2747, + "step": 427 + }, + { + "epoch": 0.11, + "learning_rate": 2.9898707649318898e-06, + "loss": 1.3381, + "step": 428 + }, + { + "epoch": 0.11, + "learning_rate": 2.996856444289207e-06, + "loss": 1.3138, + "step": 429 + }, + { + "epoch": 0.11, + "learning_rate": 3.003842123646525e-06, + "loss": 1.1448, + "step": 430 + }, + { + "epoch": 0.11, + "learning_rate": 3.0108278030038423e-06, + "loss": 1.1203, + "step": 431 + }, + { + "epoch": 0.11, + "learning_rate": 3.0178134823611597e-06, + "loss": 1.1146, + "step": 432 + }, + { + "epoch": 0.11, + "learning_rate": 3.0247991617184775e-06, + "loss": 1.1614, + "step": 433 + }, + { + "epoch": 0.11, + "learning_rate": 3.031784841075795e-06, + "loss": 1.1545, + "step": 434 + }, + { + "epoch": 0.11, + "learning_rate": 3.0387705204331123e-06, + "loss": 1.1324, + "step": 435 + }, + { + "epoch": 0.11, + "learning_rate": 3.04575619979043e-06, + "loss": 1.3561, + "step": 436 + }, + { + "epoch": 0.11, + "learning_rate": 3.0527418791477475e-06, + "loss": 1.1336, + "step": 437 + }, + { + "epoch": 0.11, + "learning_rate": 3.059727558505065e-06, + "loss": 1.3058, + "step": 438 + }, + { + "epoch": 0.11, + "learning_rate": 3.0667132378623827e-06, + "loss": 1.305, + "step": 439 + }, + { + "epoch": 0.12, + "learning_rate": 3.0736989172196997e-06, + "loss": 1.2135, + "step": 440 + }, + { + "epoch": 0.12, + "learning_rate": 3.080684596577017e-06, + "loss": 1.236, + "step": 441 + }, + { + "epoch": 0.12, + "learning_rate": 3.0876702759343345e-06, + "loss": 1.2182, + "step": 442 + }, + { + "epoch": 0.12, + "learning_rate": 3.0946559552916523e-06, + "loss": 1.3429, + "step": 443 + }, + { + "epoch": 0.12, + "learning_rate": 3.1016416346489697e-06, + "loss": 1.3023, + "step": 444 + }, + { + "epoch": 0.12, + "learning_rate": 3.108627314006287e-06, + "loss": 1.1586, + "step": 445 + }, + { + "epoch": 0.12, + "learning_rate": 3.115612993363605e-06, + "loss": 1.3803, + "step": 446 + }, + { + "epoch": 0.12, + "learning_rate": 3.1225986727209223e-06, + "loss": 1.2364, + "step": 447 + }, + { + "epoch": 0.12, + "learning_rate": 3.1295843520782396e-06, + "loss": 1.3148, + "step": 448 + }, + { + "epoch": 0.12, + "learning_rate": 3.1365700314355575e-06, + "loss": 1.1631, + "step": 449 + }, + { + "epoch": 0.12, + "learning_rate": 3.143555710792875e-06, + "loss": 1.1828, + "step": 450 + }, + { + "epoch": 0.12, + "learning_rate": 3.1505413901501922e-06, + "loss": 1.333, + "step": 451 + }, + { + "epoch": 0.12, + "learning_rate": 3.15752706950751e-06, + "loss": 1.3426, + "step": 452 + }, + { + "epoch": 0.12, + "learning_rate": 3.1645127488648274e-06, + "loss": 1.5088, + "step": 453 + }, + { + "epoch": 0.12, + "learning_rate": 3.1714984282221452e-06, + "loss": 1.1188, + "step": 454 + }, + { + "epoch": 0.12, + "learning_rate": 3.1784841075794626e-06, + "loss": 1.5372, + "step": 455 + }, + { + "epoch": 0.12, + "learning_rate": 3.18546978693678e-06, + "loss": 1.3209, + "step": 456 + }, + { + "epoch": 0.12, + "learning_rate": 3.192455466294098e-06, + "loss": 1.0497, + "step": 457 + }, + { + "epoch": 0.12, + "learning_rate": 3.199441145651415e-06, + "loss": 1.1761, + "step": 458 + }, + { + "epoch": 0.12, + "learning_rate": 3.206426825008732e-06, + "loss": 1.4854, + "step": 459 + }, + { + "epoch": 0.12, + "learning_rate": 3.2134125043660496e-06, + "loss": 1.4629, + "step": 460 + }, + { + "epoch": 0.12, + "learning_rate": 3.2203981837233674e-06, + "loss": 1.1879, + "step": 461 + }, + { + "epoch": 0.12, + "learning_rate": 3.2273838630806848e-06, + "loss": 1.1256, + "step": 462 + }, + { + "epoch": 0.12, + "learning_rate": 3.234369542438002e-06, + "loss": 1.3619, + "step": 463 + }, + { + "epoch": 0.12, + "learning_rate": 3.24135522179532e-06, + "loss": 1.2209, + "step": 464 + }, + { + "epoch": 0.12, + "learning_rate": 3.2483409011526374e-06, + "loss": 1.2509, + "step": 465 + }, + { + "epoch": 0.12, + "learning_rate": 3.2553265805099548e-06, + "loss": 1.2636, + "step": 466 + }, + { + "epoch": 0.12, + "learning_rate": 3.2623122598672726e-06, + "loss": 1.321, + "step": 467 + }, + { + "epoch": 0.12, + "learning_rate": 3.26929793922459e-06, + "loss": 1.3575, + "step": 468 + }, + { + "epoch": 0.12, + "learning_rate": 3.2762836185819073e-06, + "loss": 1.3709, + "step": 469 + }, + { + "epoch": 0.12, + "learning_rate": 3.283269297939225e-06, + "loss": 1.338, + "step": 470 + }, + { + "epoch": 0.12, + "learning_rate": 3.2902549772965425e-06, + "loss": 1.1507, + "step": 471 + }, + { + "epoch": 0.12, + "learning_rate": 3.29724065665386e-06, + "loss": 1.306, + "step": 472 + }, + { + "epoch": 0.12, + "learning_rate": 3.3042263360111777e-06, + "loss": 1.4932, + "step": 473 + }, + { + "epoch": 0.12, + "learning_rate": 3.311212015368495e-06, + "loss": 1.1615, + "step": 474 + }, + { + "epoch": 0.12, + "learning_rate": 3.318197694725812e-06, + "loss": 1.4089, + "step": 475 + }, + { + "epoch": 0.12, + "learning_rate": 3.3251833740831295e-06, + "loss": 1.1964, + "step": 476 + }, + { + "epoch": 0.12, + "learning_rate": 3.3321690534404473e-06, + "loss": 1.3663, + "step": 477 + }, + { + "epoch": 0.13, + "learning_rate": 3.3391547327977647e-06, + "loss": 1.348, + "step": 478 + }, + { + "epoch": 0.13, + "learning_rate": 3.346140412155082e-06, + "loss": 1.0565, + "step": 479 + }, + { + "epoch": 0.13, + "learning_rate": 3.3531260915124e-06, + "loss": 1.2124, + "step": 480 + }, + { + "epoch": 0.13, + "learning_rate": 3.3601117708697173e-06, + "loss": 1.1465, + "step": 481 + }, + { + "epoch": 0.13, + "learning_rate": 3.3670974502270347e-06, + "loss": 1.3834, + "step": 482 + }, + { + "epoch": 0.13, + "learning_rate": 3.3740831295843525e-06, + "loss": 1.3424, + "step": 483 + }, + { + "epoch": 0.13, + "learning_rate": 3.38106880894167e-06, + "loss": 1.1192, + "step": 484 + }, + { + "epoch": 0.13, + "learning_rate": 3.3880544882989873e-06, + "loss": 1.2585, + "step": 485 + }, + { + "epoch": 0.13, + "learning_rate": 3.395040167656305e-06, + "loss": 1.2975, + "step": 486 + }, + { + "epoch": 0.13, + "learning_rate": 3.4020258470136225e-06, + "loss": 1.3256, + "step": 487 + }, + { + "epoch": 0.13, + "learning_rate": 3.40901152637094e-06, + "loss": 1.1669, + "step": 488 + }, + { + "epoch": 0.13, + "learning_rate": 3.4159972057282577e-06, + "loss": 1.1371, + "step": 489 + }, + { + "epoch": 0.13, + "learning_rate": 3.422982885085575e-06, + "loss": 1.1957, + "step": 490 + }, + { + "epoch": 0.13, + "learning_rate": 3.4299685644428924e-06, + "loss": 1.1701, + "step": 491 + }, + { + "epoch": 0.13, + "learning_rate": 3.4369542438002094e-06, + "loss": 1.3177, + "step": 492 + }, + { + "epoch": 0.13, + "learning_rate": 3.4439399231575272e-06, + "loss": 1.1904, + "step": 493 + }, + { + "epoch": 0.13, + "learning_rate": 3.4509256025148446e-06, + "loss": 1.2258, + "step": 494 + }, + { + "epoch": 0.13, + "learning_rate": 3.457911281872162e-06, + "loss": 1.4526, + "step": 495 + }, + { + "epoch": 0.13, + "learning_rate": 3.46489696122948e-06, + "loss": 1.1657, + "step": 496 + }, + { + "epoch": 0.13, + "learning_rate": 3.471882640586797e-06, + "loss": 1.2294, + "step": 497 + }, + { + "epoch": 0.13, + "learning_rate": 3.4788683199441146e-06, + "loss": 1.2635, + "step": 498 + }, + { + "epoch": 0.13, + "learning_rate": 3.4858539993014324e-06, + "loss": 1.2771, + "step": 499 + }, + { + "epoch": 0.13, + "learning_rate": 3.4928396786587498e-06, + "loss": 1.2341, + "step": 500 + }, + { + "epoch": 0.13, + "learning_rate": 3.499825358016067e-06, + "loss": 1.2761, + "step": 501 + }, + { + "epoch": 0.13, + "learning_rate": 3.506811037373385e-06, + "loss": 1.0662, + "step": 502 + }, + { + "epoch": 0.13, + "learning_rate": 3.5137967167307024e-06, + "loss": 1.1611, + "step": 503 + }, + { + "epoch": 0.13, + "learning_rate": 3.5207823960880198e-06, + "loss": 1.2035, + "step": 504 + }, + { + "epoch": 0.13, + "learning_rate": 3.5277680754453376e-06, + "loss": 1.2773, + "step": 505 + }, + { + "epoch": 0.13, + "learning_rate": 3.534753754802655e-06, + "loss": 1.0509, + "step": 506 + }, + { + "epoch": 0.13, + "learning_rate": 3.5417394341599728e-06, + "loss": 1.2165, + "step": 507 + }, + { + "epoch": 0.13, + "learning_rate": 3.54872511351729e-06, + "loss": 1.2864, + "step": 508 + }, + { + "epoch": 0.13, + "learning_rate": 3.555710792874607e-06, + "loss": 1.198, + "step": 509 + }, + { + "epoch": 0.13, + "learning_rate": 3.5626964722319245e-06, + "loss": 1.1488, + "step": 510 + }, + { + "epoch": 0.13, + "learning_rate": 3.5696821515892423e-06, + "loss": 1.1574, + "step": 511 + }, + { + "epoch": 0.13, + "learning_rate": 3.5766678309465597e-06, + "loss": 1.1598, + "step": 512 + }, + { + "epoch": 0.13, + "learning_rate": 3.583653510303877e-06, + "loss": 1.1942, + "step": 513 + }, + { + "epoch": 0.13, + "learning_rate": 3.590639189661195e-06, + "loss": 1.2725, + "step": 514 + }, + { + "epoch": 0.13, + "learning_rate": 3.5976248690185123e-06, + "loss": 1.3625, + "step": 515 + }, + { + "epoch": 0.14, + "learning_rate": 3.6046105483758297e-06, + "loss": 1.2417, + "step": 516 + }, + { + "epoch": 0.14, + "learning_rate": 3.6115962277331475e-06, + "loss": 1.2305, + "step": 517 + }, + { + "epoch": 0.14, + "learning_rate": 3.618581907090465e-06, + "loss": 1.2266, + "step": 518 + }, + { + "epoch": 0.14, + "learning_rate": 3.6255675864477823e-06, + "loss": 1.2846, + "step": 519 + }, + { + "epoch": 0.14, + "learning_rate": 3.6325532658051e-06, + "loss": 1.1393, + "step": 520 + }, + { + "epoch": 0.14, + "learning_rate": 3.6395389451624175e-06, + "loss": 1.1757, + "step": 521 + }, + { + "epoch": 0.14, + "learning_rate": 3.646524624519735e-06, + "loss": 1.213, + "step": 522 + }, + { + "epoch": 0.14, + "learning_rate": 3.6535103038770527e-06, + "loss": 1.1595, + "step": 523 + }, + { + "epoch": 0.14, + "learning_rate": 3.66049598323437e-06, + "loss": 1.2596, + "step": 524 + }, + { + "epoch": 0.14, + "learning_rate": 3.6674816625916875e-06, + "loss": 1.2848, + "step": 525 + }, + { + "epoch": 0.14, + "learning_rate": 3.6744673419490053e-06, + "loss": 1.1491, + "step": 526 + }, + { + "epoch": 0.14, + "learning_rate": 3.6814530213063222e-06, + "loss": 1.2241, + "step": 527 + }, + { + "epoch": 0.14, + "learning_rate": 3.6884387006636396e-06, + "loss": 1.229, + "step": 528 + }, + { + "epoch": 0.14, + "learning_rate": 3.695424380020957e-06, + "loss": 1.3531, + "step": 529 + }, + { + "epoch": 0.14, + "learning_rate": 3.702410059378275e-06, + "loss": 1.2878, + "step": 530 + }, + { + "epoch": 0.14, + "learning_rate": 3.7093957387355922e-06, + "loss": 1.1776, + "step": 531 + }, + { + "epoch": 0.14, + "learning_rate": 3.7163814180929096e-06, + "loss": 1.2563, + "step": 532 + }, + { + "epoch": 0.14, + "learning_rate": 3.7233670974502274e-06, + "loss": 0.9994, + "step": 533 + }, + { + "epoch": 0.14, + "learning_rate": 3.730352776807545e-06, + "loss": 1.1566, + "step": 534 + }, + { + "epoch": 0.14, + "learning_rate": 3.737338456164862e-06, + "loss": 1.132, + "step": 535 + }, + { + "epoch": 0.14, + "learning_rate": 3.74432413552218e-06, + "loss": 1.2025, + "step": 536 + }, + { + "epoch": 0.14, + "learning_rate": 3.7513098148794974e-06, + "loss": 1.0815, + "step": 537 + }, + { + "epoch": 0.14, + "learning_rate": 3.7582954942368148e-06, + "loss": 1.1862, + "step": 538 + }, + { + "epoch": 0.14, + "learning_rate": 3.7652811735941326e-06, + "loss": 1.3755, + "step": 539 + }, + { + "epoch": 0.14, + "learning_rate": 3.77226685295145e-06, + "loss": 1.3642, + "step": 540 + }, + { + "epoch": 0.14, + "learning_rate": 3.7792525323087674e-06, + "loss": 1.1859, + "step": 541 + }, + { + "epoch": 0.14, + "learning_rate": 3.786238211666085e-06, + "loss": 1.5, + "step": 542 + }, + { + "epoch": 0.14, + "learning_rate": 3.7932238910234026e-06, + "loss": 1.1412, + "step": 543 + }, + { + "epoch": 0.14, + "learning_rate": 3.8002095703807195e-06, + "loss": 1.4648, + "step": 544 + }, + { + "epoch": 0.14, + "learning_rate": 3.807195249738037e-06, + "loss": 1.1977, + "step": 545 + }, + { + "epoch": 0.14, + "learning_rate": 3.8141809290953547e-06, + "loss": 1.1897, + "step": 546 + }, + { + "epoch": 0.14, + "learning_rate": 3.821166608452672e-06, + "loss": 1.3648, + "step": 547 + }, + { + "epoch": 0.14, + "learning_rate": 3.82815228780999e-06, + "loss": 1.3787, + "step": 548 + }, + { + "epoch": 0.14, + "learning_rate": 3.835137967167307e-06, + "loss": 1.2318, + "step": 549 + }, + { + "epoch": 0.14, + "learning_rate": 3.842123646524625e-06, + "loss": 1.2707, + "step": 550 + }, + { + "epoch": 0.14, + "learning_rate": 3.8491093258819425e-06, + "loss": 1.2297, + "step": 551 + }, + { + "epoch": 0.14, + "learning_rate": 3.8560950052392595e-06, + "loss": 1.2593, + "step": 552 + }, + { + "epoch": 0.14, + "learning_rate": 3.863080684596577e-06, + "loss": 1.3106, + "step": 553 + }, + { + "epoch": 0.15, + "learning_rate": 3.870066363953895e-06, + "loss": 1.1775, + "step": 554 + }, + { + "epoch": 0.15, + "learning_rate": 3.877052043311212e-06, + "loss": 1.2461, + "step": 555 + }, + { + "epoch": 0.15, + "learning_rate": 3.88403772266853e-06, + "loss": 1.1632, + "step": 556 + }, + { + "epoch": 0.15, + "learning_rate": 3.891023402025848e-06, + "loss": 1.226, + "step": 557 + }, + { + "epoch": 0.15, + "learning_rate": 3.898009081383165e-06, + "loss": 1.419, + "step": 558 + }, + { + "epoch": 0.15, + "learning_rate": 3.9049947607404825e-06, + "loss": 1.1306, + "step": 559 + }, + { + "epoch": 0.15, + "learning_rate": 3.9119804400978e-06, + "loss": 1.4094, + "step": 560 + }, + { + "epoch": 0.15, + "learning_rate": 3.918966119455117e-06, + "loss": 1.0913, + "step": 561 + }, + { + "epoch": 0.15, + "learning_rate": 3.925951798812434e-06, + "loss": 1.1865, + "step": 562 + }, + { + "epoch": 0.15, + "learning_rate": 3.932937478169752e-06, + "loss": 1.0372, + "step": 563 + }, + { + "epoch": 0.15, + "learning_rate": 3.93992315752707e-06, + "loss": 1.2802, + "step": 564 + }, + { + "epoch": 0.15, + "learning_rate": 3.946908836884387e-06, + "loss": 1.1082, + "step": 565 + }, + { + "epoch": 0.15, + "learning_rate": 3.953894516241705e-06, + "loss": 1.1323, + "step": 566 + }, + { + "epoch": 0.15, + "learning_rate": 3.9608801955990224e-06, + "loss": 1.2518, + "step": 567 + }, + { + "epoch": 0.15, + "learning_rate": 3.967865874956339e-06, + "loss": 1.2726, + "step": 568 + }, + { + "epoch": 0.15, + "learning_rate": 3.974851554313657e-06, + "loss": 1.1906, + "step": 569 + }, + { + "epoch": 0.15, + "learning_rate": 3.981837233670975e-06, + "loss": 1.1739, + "step": 570 + }, + { + "epoch": 0.15, + "learning_rate": 3.988822913028292e-06, + "loss": 1.1111, + "step": 571 + }, + { + "epoch": 0.15, + "learning_rate": 3.99580859238561e-06, + "loss": 1.3159, + "step": 572 + }, + { + "epoch": 0.15, + "learning_rate": 4.002794271742928e-06, + "loss": 1.2635, + "step": 573 + }, + { + "epoch": 0.15, + "learning_rate": 4.009779951100245e-06, + "loss": 1.2474, + "step": 574 + }, + { + "epoch": 0.15, + "learning_rate": 4.016765630457562e-06, + "loss": 1.1875, + "step": 575 + }, + { + "epoch": 0.15, + "learning_rate": 4.02375130981488e-06, + "loss": 1.4562, + "step": 576 + }, + { + "epoch": 0.15, + "learning_rate": 4.030736989172197e-06, + "loss": 1.379, + "step": 577 + }, + { + "epoch": 0.15, + "learning_rate": 4.037722668529514e-06, + "loss": 1.217, + "step": 578 + }, + { + "epoch": 0.15, + "learning_rate": 4.044708347886832e-06, + "loss": 1.2318, + "step": 579 + }, + { + "epoch": 0.15, + "learning_rate": 4.05169402724415e-06, + "loss": 1.4222, + "step": 580 + }, + { + "epoch": 0.15, + "learning_rate": 4.058679706601467e-06, + "loss": 1.0874, + "step": 581 + }, + { + "epoch": 0.15, + "learning_rate": 4.0656653859587845e-06, + "loss": 1.2626, + "step": 582 + }, + { + "epoch": 0.15, + "learning_rate": 4.072651065316102e-06, + "loss": 1.3209, + "step": 583 + }, + { + "epoch": 0.15, + "learning_rate": 4.07963674467342e-06, + "loss": 1.25, + "step": 584 + }, + { + "epoch": 0.15, + "learning_rate": 4.086622424030737e-06, + "loss": 1.419, + "step": 585 + }, + { + "epoch": 0.15, + "learning_rate": 4.093608103388055e-06, + "loss": 1.3351, + "step": 586 + }, + { + "epoch": 0.15, + "learning_rate": 4.100593782745373e-06, + "loss": 1.2165, + "step": 587 + }, + { + "epoch": 0.15, + "learning_rate": 4.10757946210269e-06, + "loss": 1.21, + "step": 588 + }, + { + "epoch": 0.15, + "learning_rate": 4.1145651414600075e-06, + "loss": 1.3108, + "step": 589 + }, + { + "epoch": 0.15, + "learning_rate": 4.121550820817325e-06, + "loss": 1.7316, + "step": 590 + }, + { + "epoch": 0.15, + "learning_rate": 4.128536500174642e-06, + "loss": 1.0726, + "step": 591 + }, + { + "epoch": 0.16, + "learning_rate": 4.13552217953196e-06, + "loss": 1.2311, + "step": 592 + }, + { + "epoch": 0.16, + "learning_rate": 4.142507858889278e-06, + "loss": 1.2378, + "step": 593 + }, + { + "epoch": 0.16, + "learning_rate": 4.149493538246595e-06, + "loss": 1.2767, + "step": 594 + }, + { + "epoch": 0.16, + "learning_rate": 4.156479217603913e-06, + "loss": 1.1814, + "step": 595 + }, + { + "epoch": 0.16, + "learning_rate": 4.16346489696123e-06, + "loss": 1.2572, + "step": 596 + }, + { + "epoch": 0.16, + "learning_rate": 4.1704505763185475e-06, + "loss": 1.2031, + "step": 597 + }, + { + "epoch": 0.16, + "learning_rate": 4.1774362556758645e-06, + "loss": 1.1836, + "step": 598 + }, + { + "epoch": 0.16, + "learning_rate": 4.184421935033182e-06, + "loss": 1.262, + "step": 599 + }, + { + "epoch": 0.16, + "learning_rate": 4.1914076143905e-06, + "loss": 1.5331, + "step": 600 + }, + { + "epoch": 0.16, + "learning_rate": 4.198393293747817e-06, + "loss": 1.2047, + "step": 601 + }, + { + "epoch": 0.16, + "learning_rate": 4.205378973105135e-06, + "loss": 1.1074, + "step": 602 + }, + { + "epoch": 0.16, + "learning_rate": 4.212364652462453e-06, + "loss": 1.121, + "step": 603 + }, + { + "epoch": 0.16, + "learning_rate": 4.21935033181977e-06, + "loss": 1.1868, + "step": 604 + }, + { + "epoch": 0.16, + "learning_rate": 4.2263360111770874e-06, + "loss": 1.1489, + "step": 605 + }, + { + "epoch": 0.16, + "learning_rate": 4.233321690534405e-06, + "loss": 1.2641, + "step": 606 + }, + { + "epoch": 0.16, + "learning_rate": 4.240307369891722e-06, + "loss": 1.2483, + "step": 607 + }, + { + "epoch": 0.16, + "learning_rate": 4.24729304924904e-06, + "loss": 1.2511, + "step": 608 + }, + { + "epoch": 0.16, + "learning_rate": 4.254278728606358e-06, + "loss": 1.3123, + "step": 609 + }, + { + "epoch": 0.16, + "learning_rate": 4.261264407963675e-06, + "loss": 1.1757, + "step": 610 + }, + { + "epoch": 0.16, + "learning_rate": 4.268250087320993e-06, + "loss": 1.2889, + "step": 611 + }, + { + "epoch": 0.16, + "learning_rate": 4.2752357666783104e-06, + "loss": 1.288, + "step": 612 + }, + { + "epoch": 0.16, + "learning_rate": 4.282221446035627e-06, + "loss": 1.2685, + "step": 613 + }, + { + "epoch": 0.16, + "learning_rate": 4.289207125392944e-06, + "loss": 1.0206, + "step": 614 + }, + { + "epoch": 0.16, + "learning_rate": 4.296192804750262e-06, + "loss": 1.244, + "step": 615 + }, + { + "epoch": 0.16, + "learning_rate": 4.30317848410758e-06, + "loss": 1.1972, + "step": 616 + }, + { + "epoch": 0.16, + "learning_rate": 4.310164163464897e-06, + "loss": 1.1357, + "step": 617 + }, + { + "epoch": 0.16, + "learning_rate": 4.317149842822215e-06, + "loss": 1.284, + "step": 618 + }, + { + "epoch": 0.16, + "learning_rate": 4.324135522179533e-06, + "loss": 1.2751, + "step": 619 + }, + { + "epoch": 0.16, + "learning_rate": 4.3311212015368495e-06, + "loss": 1.2848, + "step": 620 + }, + { + "epoch": 0.16, + "learning_rate": 4.338106880894167e-06, + "loss": 1.3089, + "step": 621 + }, + { + "epoch": 0.16, + "learning_rate": 4.345092560251485e-06, + "loss": 1.1811, + "step": 622 + }, + { + "epoch": 0.16, + "learning_rate": 4.352078239608802e-06, + "loss": 1.2697, + "step": 623 + }, + { + "epoch": 0.16, + "learning_rate": 4.35906391896612e-06, + "loss": 1.1228, + "step": 624 + }, + { + "epoch": 0.16, + "learning_rate": 4.366049598323438e-06, + "loss": 1.2088, + "step": 625 + }, + { + "epoch": 0.16, + "learning_rate": 4.373035277680755e-06, + "loss": 1.239, + "step": 626 + }, + { + "epoch": 0.16, + "learning_rate": 4.3800209570380725e-06, + "loss": 1.3455, + "step": 627 + }, + { + "epoch": 0.16, + "learning_rate": 4.38700663639539e-06, + "loss": 1.3332, + "step": 628 + }, + { + "epoch": 0.16, + "learning_rate": 4.393992315752707e-06, + "loss": 1.1497, + "step": 629 + }, + { + "epoch": 0.17, + "learning_rate": 4.400977995110024e-06, + "loss": 1.1978, + "step": 630 + }, + { + "epoch": 0.17, + "learning_rate": 4.407963674467342e-06, + "loss": 1.2721, + "step": 631 + }, + { + "epoch": 0.17, + "learning_rate": 4.41494935382466e-06, + "loss": 1.3043, + "step": 632 + }, + { + "epoch": 0.17, + "learning_rate": 4.421935033181977e-06, + "loss": 1.2734, + "step": 633 + }, + { + "epoch": 0.17, + "learning_rate": 4.428920712539295e-06, + "loss": 1.1762, + "step": 634 + }, + { + "epoch": 0.17, + "learning_rate": 4.4359063918966125e-06, + "loss": 1.095, + "step": 635 + }, + { + "epoch": 0.17, + "learning_rate": 4.4428920712539295e-06, + "loss": 1.4542, + "step": 636 + }, + { + "epoch": 0.17, + "learning_rate": 4.449877750611247e-06, + "loss": 1.1374, + "step": 637 + }, + { + "epoch": 0.17, + "learning_rate": 4.456863429968565e-06, + "loss": 1.0548, + "step": 638 + }, + { + "epoch": 0.17, + "learning_rate": 4.463849109325882e-06, + "loss": 0.9901, + "step": 639 + }, + { + "epoch": 0.17, + "learning_rate": 4.4708347886832e-06, + "loss": 1.2161, + "step": 640 + }, + { + "epoch": 0.17, + "learning_rate": 4.477820468040518e-06, + "loss": 1.1694, + "step": 641 + }, + { + "epoch": 0.17, + "learning_rate": 4.484806147397835e-06, + "loss": 1.0528, + "step": 642 + }, + { + "epoch": 0.17, + "learning_rate": 4.4917918267551524e-06, + "loss": 1.3245, + "step": 643 + }, + { + "epoch": 0.17, + "learning_rate": 4.49877750611247e-06, + "loss": 1.2465, + "step": 644 + }, + { + "epoch": 0.17, + "learning_rate": 4.505763185469787e-06, + "loss": 1.045, + "step": 645 + }, + { + "epoch": 0.17, + "learning_rate": 4.512748864827105e-06, + "loss": 1.1136, + "step": 646 + }, + { + "epoch": 0.17, + "learning_rate": 4.519734544184422e-06, + "loss": 1.1746, + "step": 647 + }, + { + "epoch": 0.17, + "learning_rate": 4.52672022354174e-06, + "loss": 1.1303, + "step": 648 + }, + { + "epoch": 0.17, + "learning_rate": 4.533705902899057e-06, + "loss": 1.2037, + "step": 649 + }, + { + "epoch": 0.17, + "learning_rate": 4.540691582256375e-06, + "loss": 1.0069, + "step": 650 + }, + { + "epoch": 0.17, + "learning_rate": 4.547677261613692e-06, + "loss": 1.3668, + "step": 651 + }, + { + "epoch": 0.17, + "learning_rate": 4.554662940971009e-06, + "loss": 1.1766, + "step": 652 + }, + { + "epoch": 0.17, + "learning_rate": 4.561648620328327e-06, + "loss": 1.1553, + "step": 653 + }, + { + "epoch": 0.17, + "learning_rate": 4.568634299685645e-06, + "loss": 1.3197, + "step": 654 + }, + { + "epoch": 0.17, + "learning_rate": 4.575619979042962e-06, + "loss": 1.1426, + "step": 655 + }, + { + "epoch": 0.17, + "learning_rate": 4.58260565840028e-06, + "loss": 1.1993, + "step": 656 + }, + { + "epoch": 0.17, + "learning_rate": 4.589591337757598e-06, + "loss": 1.2331, + "step": 657 + }, + { + "epoch": 0.17, + "learning_rate": 4.5965770171149145e-06, + "loss": 1.1468, + "step": 658 + }, + { + "epoch": 0.17, + "learning_rate": 4.603562696472232e-06, + "loss": 1.2101, + "step": 659 + }, + { + "epoch": 0.17, + "learning_rate": 4.61054837582955e-06, + "loss": 1.0976, + "step": 660 + }, + { + "epoch": 0.17, + "learning_rate": 4.617534055186867e-06, + "loss": 1.264, + "step": 661 + }, + { + "epoch": 0.17, + "learning_rate": 4.624519734544185e-06, + "loss": 1.2393, + "step": 662 + }, + { + "epoch": 0.17, + "learning_rate": 4.631505413901503e-06, + "loss": 1.1253, + "step": 663 + }, + { + "epoch": 0.17, + "learning_rate": 4.63849109325882e-06, + "loss": 1.128, + "step": 664 + }, + { + "epoch": 0.17, + "learning_rate": 4.645476772616137e-06, + "loss": 1.2846, + "step": 665 + }, + { + "epoch": 0.17, + "learning_rate": 4.6524624519734545e-06, + "loss": 1.1613, + "step": 666 + }, + { + "epoch": 0.17, + "learning_rate": 4.659448131330772e-06, + "loss": 1.0201, + "step": 667 + }, + { + "epoch": 0.17, + "learning_rate": 4.666433810688089e-06, + "loss": 1.3337, + "step": 668 + }, + { + "epoch": 0.18, + "learning_rate": 4.673419490045407e-06, + "loss": 1.3436, + "step": 669 + }, + { + "epoch": 0.18, + "learning_rate": 4.680405169402725e-06, + "loss": 1.1394, + "step": 670 + }, + { + "epoch": 0.18, + "learning_rate": 4.687390848760042e-06, + "loss": 1.1382, + "step": 671 + }, + { + "epoch": 0.18, + "learning_rate": 4.69437652811736e-06, + "loss": 1.2085, + "step": 672 + }, + { + "epoch": 0.18, + "learning_rate": 4.7013622074746775e-06, + "loss": 1.0832, + "step": 673 + }, + { + "epoch": 0.18, + "learning_rate": 4.7083478868319945e-06, + "loss": 1.1669, + "step": 674 + }, + { + "epoch": 0.18, + "learning_rate": 4.715333566189312e-06, + "loss": 1.232, + "step": 675 + }, + { + "epoch": 0.18, + "learning_rate": 4.72231924554663e-06, + "loss": 1.2953, + "step": 676 + }, + { + "epoch": 0.18, + "learning_rate": 4.729304924903947e-06, + "loss": 1.1432, + "step": 677 + }, + { + "epoch": 0.18, + "learning_rate": 4.736290604261265e-06, + "loss": 1.0934, + "step": 678 + }, + { + "epoch": 0.18, + "learning_rate": 4.743276283618583e-06, + "loss": 1.3829, + "step": 679 + }, + { + "epoch": 0.18, + "learning_rate": 4.7502619629759e-06, + "loss": 1.2318, + "step": 680 + }, + { + "epoch": 0.18, + "learning_rate": 4.7572476423332174e-06, + "loss": 1.1194, + "step": 681 + }, + { + "epoch": 0.18, + "learning_rate": 4.764233321690534e-06, + "loss": 1.172, + "step": 682 + }, + { + "epoch": 0.18, + "learning_rate": 4.771219001047852e-06, + "loss": 1.187, + "step": 683 + }, + { + "epoch": 0.18, + "learning_rate": 4.778204680405169e-06, + "loss": 1.0818, + "step": 684 + }, + { + "epoch": 0.18, + "learning_rate": 4.785190359762487e-06, + "loss": 1.2906, + "step": 685 + }, + { + "epoch": 0.18, + "learning_rate": 4.792176039119805e-06, + "loss": 1.3967, + "step": 686 + }, + { + "epoch": 0.18, + "learning_rate": 4.799161718477122e-06, + "loss": 1.012, + "step": 687 + }, + { + "epoch": 0.18, + "learning_rate": 4.80614739783444e-06, + "loss": 1.4962, + "step": 688 + }, + { + "epoch": 0.18, + "learning_rate": 4.813133077191757e-06, + "loss": 1.3215, + "step": 689 + }, + { + "epoch": 0.18, + "learning_rate": 4.820118756549075e-06, + "loss": 1.3811, + "step": 690 + }, + { + "epoch": 0.18, + "learning_rate": 4.827104435906392e-06, + "loss": 1.1809, + "step": 691 + }, + { + "epoch": 0.18, + "learning_rate": 4.83409011526371e-06, + "loss": 1.2042, + "step": 692 + }, + { + "epoch": 0.18, + "learning_rate": 4.841075794621028e-06, + "loss": 1.076, + "step": 693 + }, + { + "epoch": 0.18, + "learning_rate": 4.848061473978345e-06, + "loss": 1.3096, + "step": 694 + }, + { + "epoch": 0.18, + "learning_rate": 4.855047153335663e-06, + "loss": 1.1219, + "step": 695 + }, + { + "epoch": 0.18, + "learning_rate": 4.86203283269298e-06, + "loss": 1.1854, + "step": 696 + }, + { + "epoch": 0.18, + "learning_rate": 4.869018512050297e-06, + "loss": 1.2434, + "step": 697 + }, + { + "epoch": 0.18, + "learning_rate": 4.876004191407615e-06, + "loss": 1.4487, + "step": 698 + }, + { + "epoch": 0.18, + "learning_rate": 4.882989870764932e-06, + "loss": 1.2769, + "step": 699 + }, + { + "epoch": 0.18, + "learning_rate": 4.88997555012225e-06, + "loss": 1.19, + "step": 700 + }, + { + "epoch": 0.18, + "learning_rate": 4.896961229479567e-06, + "loss": 1.1628, + "step": 701 + }, + { + "epoch": 0.18, + "learning_rate": 4.903946908836885e-06, + "loss": 1.2091, + "step": 702 + }, + { + "epoch": 0.18, + "learning_rate": 4.9109325881942025e-06, + "loss": 1.2402, + "step": 703 + }, + { + "epoch": 0.18, + "learning_rate": 4.9179182675515195e-06, + "loss": 1.0974, + "step": 704 + }, + { + "epoch": 0.18, + "learning_rate": 4.924903946908837e-06, + "loss": 1.0749, + "step": 705 + }, + { + "epoch": 0.18, + "learning_rate": 4.931889626266155e-06, + "loss": 1.4719, + "step": 706 + }, + { + "epoch": 0.19, + "learning_rate": 4.938875305623472e-06, + "loss": 1.1765, + "step": 707 + }, + { + "epoch": 0.19, + "learning_rate": 4.94586098498079e-06, + "loss": 1.2264, + "step": 708 + }, + { + "epoch": 0.19, + "learning_rate": 4.952846664338108e-06, + "loss": 1.2813, + "step": 709 + }, + { + "epoch": 0.19, + "learning_rate": 4.959832343695425e-06, + "loss": 1.2698, + "step": 710 + }, + { + "epoch": 0.19, + "learning_rate": 4.9668180230527425e-06, + "loss": 1.202, + "step": 711 + }, + { + "epoch": 0.19, + "learning_rate": 4.97380370241006e-06, + "loss": 1.3508, + "step": 712 + }, + { + "epoch": 0.19, + "learning_rate": 4.980789381767377e-06, + "loss": 1.2025, + "step": 713 + }, + { + "epoch": 0.19, + "learning_rate": 4.987775061124695e-06, + "loss": 1.2171, + "step": 714 + }, + { + "epoch": 0.19, + "learning_rate": 4.994760740482013e-06, + "loss": 1.0995, + "step": 715 + }, + { + "epoch": 0.19, + "learning_rate": 5.00174641983933e-06, + "loss": 1.2508, + "step": 716 + }, + { + "epoch": 0.19, + "learning_rate": 5.008732099196647e-06, + "loss": 1.2724, + "step": 717 + }, + { + "epoch": 0.19, + "learning_rate": 5.015717778553965e-06, + "loss": 0.9617, + "step": 718 + }, + { + "epoch": 0.19, + "learning_rate": 5.0227034579112825e-06, + "loss": 1.169, + "step": 719 + }, + { + "epoch": 0.19, + "learning_rate": 5.029689137268599e-06, + "loss": 1.1758, + "step": 720 + }, + { + "epoch": 0.19, + "learning_rate": 5.036674816625917e-06, + "loss": 1.1767, + "step": 721 + }, + { + "epoch": 0.19, + "learning_rate": 5.043660495983235e-06, + "loss": 1.1896, + "step": 722 + }, + { + "epoch": 0.19, + "learning_rate": 5.050646175340552e-06, + "loss": 1.3176, + "step": 723 + }, + { + "epoch": 0.19, + "learning_rate": 5.05763185469787e-06, + "loss": 1.0993, + "step": 724 + }, + { + "epoch": 0.19, + "learning_rate": 5.064617534055188e-06, + "loss": 1.2964, + "step": 725 + }, + { + "epoch": 0.19, + "learning_rate": 5.071603213412505e-06, + "loss": 1.2392, + "step": 726 + }, + { + "epoch": 0.19, + "learning_rate": 5.078588892769822e-06, + "loss": 1.0638, + "step": 727 + }, + { + "epoch": 0.19, + "learning_rate": 5.08557457212714e-06, + "loss": 1.1725, + "step": 728 + }, + { + "epoch": 0.19, + "learning_rate": 5.092560251484457e-06, + "loss": 1.0798, + "step": 729 + }, + { + "epoch": 0.19, + "learning_rate": 5.099545930841775e-06, + "loss": 1.1761, + "step": 730 + }, + { + "epoch": 0.19, + "learning_rate": 5.106531610199093e-06, + "loss": 1.1268, + "step": 731 + }, + { + "epoch": 0.19, + "learning_rate": 5.11351728955641e-06, + "loss": 1.1714, + "step": 732 + }, + { + "epoch": 0.19, + "learning_rate": 5.120502968913728e-06, + "loss": 1.2402, + "step": 733 + }, + { + "epoch": 0.19, + "learning_rate": 5.127488648271045e-06, + "loss": 1.154, + "step": 734 + }, + { + "epoch": 0.19, + "learning_rate": 5.134474327628362e-06, + "loss": 1.2271, + "step": 735 + }, + { + "epoch": 0.19, + "learning_rate": 5.14146000698568e-06, + "loss": 0.9843, + "step": 736 + }, + { + "epoch": 0.19, + "learning_rate": 5.148445686342998e-06, + "loss": 1.3356, + "step": 737 + }, + { + "epoch": 0.19, + "learning_rate": 5.155431365700315e-06, + "loss": 1.1345, + "step": 738 + }, + { + "epoch": 0.19, + "learning_rate": 5.162417045057633e-06, + "loss": 1.1855, + "step": 739 + }, + { + "epoch": 0.19, + "learning_rate": 5.169402724414951e-06, + "loss": 1.2417, + "step": 740 + }, + { + "epoch": 0.19, + "learning_rate": 5.1763884037722675e-06, + "loss": 1.1992, + "step": 741 + }, + { + "epoch": 0.19, + "learning_rate": 5.1833740831295845e-06, + "loss": 1.1606, + "step": 742 + }, + { + "epoch": 0.19, + "learning_rate": 5.1903597624869015e-06, + "loss": 1.21, + "step": 743 + }, + { + "epoch": 0.19, + "learning_rate": 5.197345441844219e-06, + "loss": 1.2498, + "step": 744 + }, + { + "epoch": 0.2, + "learning_rate": 5.204331121201537e-06, + "loss": 1.0316, + "step": 745 + }, + { + "epoch": 0.2, + "learning_rate": 5.211316800558854e-06, + "loss": 1.2076, + "step": 746 + }, + { + "epoch": 0.2, + "learning_rate": 5.218302479916172e-06, + "loss": 1.2454, + "step": 747 + }, + { + "epoch": 0.2, + "learning_rate": 5.22528815927349e-06, + "loss": 1.262, + "step": 748 + }, + { + "epoch": 0.2, + "learning_rate": 5.232273838630807e-06, + "loss": 1.1437, + "step": 749 + }, + { + "epoch": 0.2, + "learning_rate": 5.2392595179881245e-06, + "loss": 1.1901, + "step": 750 + }, + { + "epoch": 0.2, + "learning_rate": 5.246245197345442e-06, + "loss": 1.2697, + "step": 751 + }, + { + "epoch": 0.2, + "learning_rate": 5.253230876702759e-06, + "loss": 1.162, + "step": 752 + }, + { + "epoch": 0.2, + "learning_rate": 5.260216556060077e-06, + "loss": 1.0647, + "step": 753 + }, + { + "epoch": 0.2, + "learning_rate": 5.267202235417395e-06, + "loss": 1.3005, + "step": 754 + }, + { + "epoch": 0.2, + "learning_rate": 5.274187914774712e-06, + "loss": 1.0271, + "step": 755 + }, + { + "epoch": 0.2, + "learning_rate": 5.28117359413203e-06, + "loss": 1.3314, + "step": 756 + }, + { + "epoch": 0.2, + "learning_rate": 5.2881592734893475e-06, + "loss": 1.1942, + "step": 757 + }, + { + "epoch": 0.2, + "learning_rate": 5.295144952846664e-06, + "loss": 1.1465, + "step": 758 + }, + { + "epoch": 0.2, + "learning_rate": 5.302130632203982e-06, + "loss": 1.1743, + "step": 759 + }, + { + "epoch": 0.2, + "learning_rate": 5.3091163115613e-06, + "loss": 1.332, + "step": 760 + }, + { + "epoch": 0.2, + "learning_rate": 5.316101990918617e-06, + "loss": 1.0209, + "step": 761 + }, + { + "epoch": 0.2, + "learning_rate": 5.323087670275935e-06, + "loss": 1.1561, + "step": 762 + }, + { + "epoch": 0.2, + "learning_rate": 5.330073349633253e-06, + "loss": 1.1927, + "step": 763 + }, + { + "epoch": 0.2, + "learning_rate": 5.33705902899057e-06, + "loss": 1.2162, + "step": 764 + }, + { + "epoch": 0.2, + "learning_rate": 5.344044708347887e-06, + "loss": 1.1595, + "step": 765 + }, + { + "epoch": 0.2, + "learning_rate": 5.351030387705205e-06, + "loss": 1.1858, + "step": 766 + }, + { + "epoch": 0.2, + "learning_rate": 5.358016067062522e-06, + "loss": 1.1638, + "step": 767 + }, + { + "epoch": 0.2, + "learning_rate": 5.36500174641984e-06, + "loss": 1.3354, + "step": 768 + }, + { + "epoch": 0.2, + "learning_rate": 5.371987425777158e-06, + "loss": 1.1311, + "step": 769 + }, + { + "epoch": 0.2, + "learning_rate": 5.378973105134475e-06, + "loss": 1.1942, + "step": 770 + }, + { + "epoch": 0.2, + "learning_rate": 5.385958784491793e-06, + "loss": 1.3184, + "step": 771 + }, + { + "epoch": 0.2, + "learning_rate": 5.39294446384911e-06, + "loss": 1.0974, + "step": 772 + }, + { + "epoch": 0.2, + "learning_rate": 5.399930143206427e-06, + "loss": 1.218, + "step": 773 + }, + { + "epoch": 0.2, + "learning_rate": 5.406915822563745e-06, + "loss": 1.0977, + "step": 774 + }, + { + "epoch": 0.2, + "learning_rate": 5.413901501921063e-06, + "loss": 1.1124, + "step": 775 + }, + { + "epoch": 0.2, + "learning_rate": 5.42088718127838e-06, + "loss": 1.0862, + "step": 776 + }, + { + "epoch": 0.2, + "learning_rate": 5.427872860635697e-06, + "loss": 1.2856, + "step": 777 + }, + { + "epoch": 0.2, + "learning_rate": 5.434858539993014e-06, + "loss": 1.3335, + "step": 778 + }, + { + "epoch": 0.2, + "learning_rate": 5.441844219350332e-06, + "loss": 1.1935, + "step": 779 + }, + { + "epoch": 0.2, + "learning_rate": 5.4488298987076495e-06, + "loss": 1.1436, + "step": 780 + }, + { + "epoch": 0.2, + "learning_rate": 5.4558155780649665e-06, + "loss": 1.1119, + "step": 781 + }, + { + "epoch": 0.2, + "learning_rate": 5.462801257422284e-06, + "loss": 0.9242, + "step": 782 + }, + { + "epoch": 0.21, + "learning_rate": 5.469786936779602e-06, + "loss": 1.3825, + "step": 783 + }, + { + "epoch": 0.21, + "learning_rate": 5.476772616136919e-06, + "loss": 1.0698, + "step": 784 + }, + { + "epoch": 0.21, + "learning_rate": 5.483758295494237e-06, + "loss": 1.4055, + "step": 785 + }, + { + "epoch": 0.21, + "learning_rate": 5.490743974851555e-06, + "loss": 1.2031, + "step": 786 + }, + { + "epoch": 0.21, + "learning_rate": 5.497729654208872e-06, + "loss": 1.0746, + "step": 787 + }, + { + "epoch": 0.21, + "learning_rate": 5.5047153335661895e-06, + "loss": 1.1294, + "step": 788 + }, + { + "epoch": 0.21, + "learning_rate": 5.511701012923507e-06, + "loss": 1.1484, + "step": 789 + }, + { + "epoch": 0.21, + "learning_rate": 5.518686692280824e-06, + "loss": 1.1047, + "step": 790 + }, + { + "epoch": 0.21, + "learning_rate": 5.525672371638142e-06, + "loss": 1.036, + "step": 791 + }, + { + "epoch": 0.21, + "learning_rate": 5.53265805099546e-06, + "loss": 1.1136, + "step": 792 + }, + { + "epoch": 0.21, + "learning_rate": 5.539643730352777e-06, + "loss": 1.2354, + "step": 793 + }, + { + "epoch": 0.21, + "learning_rate": 5.546629409710095e-06, + "loss": 1.184, + "step": 794 + }, + { + "epoch": 0.21, + "learning_rate": 5.5536150890674125e-06, + "loss": 1.2569, + "step": 795 + }, + { + "epoch": 0.21, + "learning_rate": 5.56060076842473e-06, + "loss": 1.0893, + "step": 796 + }, + { + "epoch": 0.21, + "learning_rate": 5.567586447782047e-06, + "loss": 1.1557, + "step": 797 + }, + { + "epoch": 0.21, + "learning_rate": 5.574572127139365e-06, + "loss": 1.1109, + "step": 798 + }, + { + "epoch": 0.21, + "learning_rate": 5.581557806496683e-06, + "loss": 1.1977, + "step": 799 + }, + { + "epoch": 0.21, + "learning_rate": 5.588543485854e-06, + "loss": 1.2609, + "step": 800 + }, + { + "epoch": 0.21, + "learning_rate": 5.595529165211318e-06, + "loss": 1.0304, + "step": 801 + }, + { + "epoch": 0.21, + "learning_rate": 5.6025148445686354e-06, + "loss": 1.2636, + "step": 802 + }, + { + "epoch": 0.21, + "learning_rate": 5.609500523925952e-06, + "loss": 1.1125, + "step": 803 + }, + { + "epoch": 0.21, + "learning_rate": 5.61648620328327e-06, + "loss": 1.1817, + "step": 804 + }, + { + "epoch": 0.21, + "learning_rate": 5.623471882640588e-06, + "loss": 1.2215, + "step": 805 + }, + { + "epoch": 0.21, + "learning_rate": 5.630457561997905e-06, + "loss": 1.4473, + "step": 806 + }, + { + "epoch": 0.21, + "learning_rate": 5.637443241355223e-06, + "loss": 1.0963, + "step": 807 + }, + { + "epoch": 0.21, + "learning_rate": 5.644428920712541e-06, + "loss": 1.1696, + "step": 808 + }, + { + "epoch": 0.21, + "learning_rate": 5.651414600069858e-06, + "loss": 1.1266, + "step": 809 + }, + { + "epoch": 0.21, + "learning_rate": 5.658400279427175e-06, + "loss": 1.1113, + "step": 810 + }, + { + "epoch": 0.21, + "learning_rate": 5.6653859587844915e-06, + "loss": 1.4099, + "step": 811 + }, + { + "epoch": 0.21, + "learning_rate": 5.672371638141809e-06, + "loss": 1.2315, + "step": 812 + }, + { + "epoch": 0.21, + "learning_rate": 5.679357317499127e-06, + "loss": 1.3051, + "step": 813 + }, + { + "epoch": 0.21, + "learning_rate": 5.686342996856444e-06, + "loss": 1.0832, + "step": 814 + }, + { + "epoch": 0.21, + "learning_rate": 5.693328676213762e-06, + "loss": 1.1912, + "step": 815 + }, + { + "epoch": 0.21, + "learning_rate": 5.70031435557108e-06, + "loss": 1.0668, + "step": 816 + }, + { + "epoch": 0.21, + "learning_rate": 5.707300034928397e-06, + "loss": 1.1328, + "step": 817 + }, + { + "epoch": 0.21, + "learning_rate": 5.7142857142857145e-06, + "loss": 1.181, + "step": 818 + }, + { + "epoch": 0.21, + "learning_rate": 5.721271393643032e-06, + "loss": 1.1391, + "step": 819 + }, + { + "epoch": 0.21, + "learning_rate": 5.728257073000349e-06, + "loss": 1.0239, + "step": 820 + }, + { + "epoch": 0.22, + "learning_rate": 5.735242752357667e-06, + "loss": 1.3575, + "step": 821 + }, + { + "epoch": 0.22, + "learning_rate": 5.742228431714985e-06, + "loss": 1.1818, + "step": 822 + }, + { + "epoch": 0.22, + "learning_rate": 5.749214111072302e-06, + "loss": 1.3121, + "step": 823 + }, + { + "epoch": 0.22, + "learning_rate": 5.75619979042962e-06, + "loss": 0.9908, + "step": 824 + }, + { + "epoch": 0.22, + "learning_rate": 5.7631854697869375e-06, + "loss": 1.0762, + "step": 825 + }, + { + "epoch": 0.22, + "learning_rate": 5.7701711491442545e-06, + "loss": 1.3779, + "step": 826 + }, + { + "epoch": 0.22, + "learning_rate": 5.777156828501572e-06, + "loss": 1.0789, + "step": 827 + }, + { + "epoch": 0.22, + "learning_rate": 5.78414250785889e-06, + "loss": 1.3539, + "step": 828 + }, + { + "epoch": 0.22, + "learning_rate": 5.791128187216207e-06, + "loss": 1.1408, + "step": 829 + }, + { + "epoch": 0.22, + "learning_rate": 5.798113866573525e-06, + "loss": 1.3983, + "step": 830 + }, + { + "epoch": 0.22, + "learning_rate": 5.805099545930843e-06, + "loss": 1.1543, + "step": 831 + }, + { + "epoch": 0.22, + "learning_rate": 5.81208522528816e-06, + "loss": 1.1138, + "step": 832 + }, + { + "epoch": 0.22, + "learning_rate": 5.8190709046454775e-06, + "loss": 1.1353, + "step": 833 + }, + { + "epoch": 0.22, + "learning_rate": 5.826056584002795e-06, + "loss": 1.1939, + "step": 834 + }, + { + "epoch": 0.22, + "learning_rate": 5.833042263360112e-06, + "loss": 1.0814, + "step": 835 + }, + { + "epoch": 0.22, + "learning_rate": 5.84002794271743e-06, + "loss": 1.4223, + "step": 836 + }, + { + "epoch": 0.22, + "learning_rate": 5.847013622074748e-06, + "loss": 1.0728, + "step": 837 + }, + { + "epoch": 0.22, + "learning_rate": 5.853999301432065e-06, + "loss": 1.1781, + "step": 838 + }, + { + "epoch": 0.22, + "learning_rate": 5.860984980789383e-06, + "loss": 1.1844, + "step": 839 + }, + { + "epoch": 0.22, + "learning_rate": 5.8679706601467004e-06, + "loss": 1.2201, + "step": 840 + }, + { + "epoch": 0.22, + "learning_rate": 5.874956339504017e-06, + "loss": 1.182, + "step": 841 + }, + { + "epoch": 0.22, + "learning_rate": 5.881942018861335e-06, + "loss": 1.0265, + "step": 842 + }, + { + "epoch": 0.22, + "learning_rate": 5.888927698218653e-06, + "loss": 1.2627, + "step": 843 + }, + { + "epoch": 0.22, + "learning_rate": 5.89591337757597e-06, + "loss": 1.2351, + "step": 844 + }, + { + "epoch": 0.22, + "learning_rate": 5.902899056933288e-06, + "loss": 1.2215, + "step": 845 + }, + { + "epoch": 0.22, + "learning_rate": 5.909884736290604e-06, + "loss": 1.3724, + "step": 846 + }, + { + "epoch": 0.22, + "learning_rate": 5.916870415647922e-06, + "loss": 1.3495, + "step": 847 + }, + { + "epoch": 0.22, + "learning_rate": 5.9238560950052396e-06, + "loss": 1.1752, + "step": 848 + }, + { + "epoch": 0.22, + "learning_rate": 5.9308417743625565e-06, + "loss": 1.1963, + "step": 849 + }, + { + "epoch": 0.22, + "learning_rate": 5.937827453719874e-06, + "loss": 1.1892, + "step": 850 + }, + { + "epoch": 0.22, + "learning_rate": 5.944813133077192e-06, + "loss": 1.1968, + "step": 851 + }, + { + "epoch": 0.22, + "learning_rate": 5.951798812434509e-06, + "loss": 1.1076, + "step": 852 + }, + { + "epoch": 0.22, + "learning_rate": 5.958784491791827e-06, + "loss": 1.0992, + "step": 853 + }, + { + "epoch": 0.22, + "learning_rate": 5.965770171149145e-06, + "loss": 1.0583, + "step": 854 + }, + { + "epoch": 0.22, + "learning_rate": 5.972755850506462e-06, + "loss": 1.1023, + "step": 855 + }, + { + "epoch": 0.22, + "learning_rate": 5.9797415298637795e-06, + "loss": 1.0997, + "step": 856 + }, + { + "epoch": 0.22, + "learning_rate": 5.986727209221097e-06, + "loss": 1.1353, + "step": 857 + }, + { + "epoch": 0.22, + "learning_rate": 5.993712888578414e-06, + "loss": 1.1499, + "step": 858 + }, + { + "epoch": 0.23, + "learning_rate": 6.000698567935732e-06, + "loss": 1.149, + "step": 859 + }, + { + "epoch": 0.23, + "learning_rate": 6.00768424729305e-06, + "loss": 0.9947, + "step": 860 + }, + { + "epoch": 0.23, + "learning_rate": 6.014669926650367e-06, + "loss": 1.2686, + "step": 861 + }, + { + "epoch": 0.23, + "learning_rate": 6.021655606007685e-06, + "loss": 1.2689, + "step": 862 + }, + { + "epoch": 0.23, + "learning_rate": 6.0286412853650025e-06, + "loss": 1.1053, + "step": 863 + }, + { + "epoch": 0.23, + "learning_rate": 6.0356269647223195e-06, + "loss": 1.1129, + "step": 864 + }, + { + "epoch": 0.23, + "learning_rate": 6.042612644079637e-06, + "loss": 1.1899, + "step": 865 + }, + { + "epoch": 0.23, + "learning_rate": 6.049598323436955e-06, + "loss": 1.1462, + "step": 866 + }, + { + "epoch": 0.23, + "learning_rate": 6.056584002794272e-06, + "loss": 1.0946, + "step": 867 + }, + { + "epoch": 0.23, + "learning_rate": 6.06356968215159e-06, + "loss": 1.2186, + "step": 868 + }, + { + "epoch": 0.23, + "learning_rate": 6.070555361508908e-06, + "loss": 1.2943, + "step": 869 + }, + { + "epoch": 0.23, + "learning_rate": 6.077541040866225e-06, + "loss": 1.1691, + "step": 870 + }, + { + "epoch": 0.23, + "learning_rate": 6.0845267202235425e-06, + "loss": 1.0016, + "step": 871 + }, + { + "epoch": 0.23, + "learning_rate": 6.09151239958086e-06, + "loss": 1.2695, + "step": 872 + }, + { + "epoch": 0.23, + "learning_rate": 6.098498078938177e-06, + "loss": 1.0929, + "step": 873 + }, + { + "epoch": 0.23, + "learning_rate": 6.105483758295495e-06, + "loss": 1.1535, + "step": 874 + }, + { + "epoch": 0.23, + "learning_rate": 6.112469437652813e-06, + "loss": 1.1391, + "step": 875 + }, + { + "epoch": 0.23, + "learning_rate": 6.11945511701013e-06, + "loss": 1.1697, + "step": 876 + }, + { + "epoch": 0.23, + "learning_rate": 6.126440796367448e-06, + "loss": 1.2933, + "step": 877 + }, + { + "epoch": 0.23, + "learning_rate": 6.1334264757247655e-06, + "loss": 1.1638, + "step": 878 + }, + { + "epoch": 0.23, + "learning_rate": 6.140412155082082e-06, + "loss": 1.0749, + "step": 879 + }, + { + "epoch": 0.23, + "learning_rate": 6.147397834439399e-06, + "loss": 1.0159, + "step": 880 + }, + { + "epoch": 0.23, + "learning_rate": 6.154383513796716e-06, + "loss": 1.1831, + "step": 881 + }, + { + "epoch": 0.23, + "learning_rate": 6.161369193154034e-06, + "loss": 1.1173, + "step": 882 + }, + { + "epoch": 0.23, + "learning_rate": 6.168354872511352e-06, + "loss": 1.4833, + "step": 883 + }, + { + "epoch": 0.23, + "learning_rate": 6.175340551868669e-06, + "loss": 1.206, + "step": 884 + }, + { + "epoch": 0.23, + "learning_rate": 6.182326231225987e-06, + "loss": 0.9882, + "step": 885 + }, + { + "epoch": 0.23, + "learning_rate": 6.1893119105833046e-06, + "loss": 1.2003, + "step": 886 + }, + { + "epoch": 0.23, + "learning_rate": 6.1962975899406215e-06, + "loss": 1.0946, + "step": 887 + }, + { + "epoch": 0.23, + "learning_rate": 6.203283269297939e-06, + "loss": 1.3339, + "step": 888 + }, + { + "epoch": 0.23, + "learning_rate": 6.210268948655257e-06, + "loss": 1.1321, + "step": 889 + }, + { + "epoch": 0.23, + "learning_rate": 6.217254628012574e-06, + "loss": 1.1421, + "step": 890 + }, + { + "epoch": 0.23, + "learning_rate": 6.224240307369892e-06, + "loss": 1.1981, + "step": 891 + }, + { + "epoch": 0.23, + "learning_rate": 6.23122598672721e-06, + "loss": 1.1013, + "step": 892 + }, + { + "epoch": 0.23, + "learning_rate": 6.238211666084527e-06, + "loss": 1.0668, + "step": 893 + }, + { + "epoch": 0.23, + "learning_rate": 6.2451973454418445e-06, + "loss": 1.3106, + "step": 894 + }, + { + "epoch": 0.23, + "learning_rate": 6.252183024799162e-06, + "loss": 1.1113, + "step": 895 + }, + { + "epoch": 0.23, + "learning_rate": 6.259168704156479e-06, + "loss": 1.2092, + "step": 896 + }, + { + "epoch": 0.23, + "learning_rate": 6.266154383513797e-06, + "loss": 1.1292, + "step": 897 + }, + { + "epoch": 0.24, + "learning_rate": 6.273140062871115e-06, + "loss": 1.4579, + "step": 898 + }, + { + "epoch": 0.24, + "learning_rate": 6.280125742228432e-06, + "loss": 1.0749, + "step": 899 + }, + { + "epoch": 0.24, + "learning_rate": 6.28711142158575e-06, + "loss": 1.3221, + "step": 900 + }, + { + "epoch": 0.24, + "learning_rate": 6.2940971009430675e-06, + "loss": 1.1341, + "step": 901 + }, + { + "epoch": 0.24, + "learning_rate": 6.3010827803003845e-06, + "loss": 1.108, + "step": 902 + }, + { + "epoch": 0.24, + "learning_rate": 6.308068459657702e-06, + "loss": 1.0477, + "step": 903 + }, + { + "epoch": 0.24, + "learning_rate": 6.31505413901502e-06, + "loss": 1.0473, + "step": 904 + }, + { + "epoch": 0.24, + "learning_rate": 6.322039818372338e-06, + "loss": 1.0066, + "step": 905 + }, + { + "epoch": 0.24, + "learning_rate": 6.329025497729655e-06, + "loss": 1.3251, + "step": 906 + }, + { + "epoch": 0.24, + "learning_rate": 6.336011177086973e-06, + "loss": 1.1933, + "step": 907 + }, + { + "epoch": 0.24, + "learning_rate": 6.3429968564442905e-06, + "loss": 1.4009, + "step": 908 + }, + { + "epoch": 0.24, + "learning_rate": 6.3499825358016075e-06, + "loss": 1.1332, + "step": 909 + }, + { + "epoch": 0.24, + "learning_rate": 6.356968215158925e-06, + "loss": 1.1764, + "step": 910 + }, + { + "epoch": 0.24, + "learning_rate": 6.363953894516243e-06, + "loss": 0.9786, + "step": 911 + }, + { + "epoch": 0.24, + "learning_rate": 6.37093957387356e-06, + "loss": 1.0951, + "step": 912 + }, + { + "epoch": 0.24, + "learning_rate": 6.377925253230878e-06, + "loss": 1.1594, + "step": 913 + }, + { + "epoch": 0.24, + "learning_rate": 6.384910932588196e-06, + "loss": 1.3696, + "step": 914 + }, + { + "epoch": 0.24, + "learning_rate": 6.391896611945512e-06, + "loss": 1.1063, + "step": 915 + }, + { + "epoch": 0.24, + "learning_rate": 6.39888229130283e-06, + "loss": 1.2411, + "step": 916 + }, + { + "epoch": 0.24, + "learning_rate": 6.4058679706601466e-06, + "loss": 1.0628, + "step": 917 + }, + { + "epoch": 0.24, + "learning_rate": 6.412853650017464e-06, + "loss": 1.0523, + "step": 918 + }, + { + "epoch": 0.24, + "learning_rate": 6.419839329374782e-06, + "loss": 1.1779, + "step": 919 + }, + { + "epoch": 0.24, + "learning_rate": 6.426825008732099e-06, + "loss": 1.2368, + "step": 920 + }, + { + "epoch": 0.24, + "learning_rate": 6.433810688089417e-06, + "loss": 1.0511, + "step": 921 + }, + { + "epoch": 0.24, + "learning_rate": 6.440796367446735e-06, + "loss": 1.0662, + "step": 922 + }, + { + "epoch": 0.24, + "learning_rate": 6.447782046804052e-06, + "loss": 0.9902, + "step": 923 + }, + { + "epoch": 0.24, + "learning_rate": 6.4547677261613696e-06, + "loss": 1.105, + "step": 924 + }, + { + "epoch": 0.24, + "learning_rate": 6.461753405518687e-06, + "loss": 1.1856, + "step": 925 + }, + { + "epoch": 0.24, + "learning_rate": 6.468739084876004e-06, + "loss": 1.3325, + "step": 926 + }, + { + "epoch": 0.24, + "learning_rate": 6.475724764233322e-06, + "loss": 1.0856, + "step": 927 + }, + { + "epoch": 0.24, + "learning_rate": 6.48271044359064e-06, + "loss": 1.1201, + "step": 928 + }, + { + "epoch": 0.24, + "learning_rate": 6.489696122947957e-06, + "loss": 0.9884, + "step": 929 + }, + { + "epoch": 0.24, + "learning_rate": 6.496681802305275e-06, + "loss": 1.1077, + "step": 930 + }, + { + "epoch": 0.24, + "learning_rate": 6.5036674816625926e-06, + "loss": 1.3583, + "step": 931 + }, + { + "epoch": 0.24, + "learning_rate": 6.5106531610199095e-06, + "loss": 1.1164, + "step": 932 + }, + { + "epoch": 0.24, + "learning_rate": 6.517638840377227e-06, + "loss": 1.1808, + "step": 933 + }, + { + "epoch": 0.24, + "learning_rate": 6.524624519734545e-06, + "loss": 1.2655, + "step": 934 + }, + { + "epoch": 0.24, + "learning_rate": 6.531610199091862e-06, + "loss": 1.0057, + "step": 935 + }, + { + "epoch": 0.25, + "learning_rate": 6.53859587844918e-06, + "loss": 1.2452, + "step": 936 + }, + { + "epoch": 0.25, + "learning_rate": 6.545581557806498e-06, + "loss": 1.1205, + "step": 937 + }, + { + "epoch": 0.25, + "learning_rate": 6.552567237163815e-06, + "loss": 1.1138, + "step": 938 + }, + { + "epoch": 0.25, + "learning_rate": 6.5595529165211325e-06, + "loss": 1.1962, + "step": 939 + }, + { + "epoch": 0.25, + "learning_rate": 6.56653859587845e-06, + "loss": 1.0647, + "step": 940 + }, + { + "epoch": 0.25, + "learning_rate": 6.573524275235767e-06, + "loss": 1.0679, + "step": 941 + }, + { + "epoch": 0.25, + "learning_rate": 6.580509954593085e-06, + "loss": 1.1137, + "step": 942 + }, + { + "epoch": 0.25, + "learning_rate": 6.587495633950403e-06, + "loss": 1.2917, + "step": 943 + }, + { + "epoch": 0.25, + "learning_rate": 6.59448131330772e-06, + "loss": 1.1805, + "step": 944 + }, + { + "epoch": 0.25, + "learning_rate": 6.601466992665038e-06, + "loss": 1.2402, + "step": 945 + }, + { + "epoch": 0.25, + "learning_rate": 6.6084526720223555e-06, + "loss": 1.0912, + "step": 946 + }, + { + "epoch": 0.25, + "learning_rate": 6.6154383513796725e-06, + "loss": 1.1727, + "step": 947 + }, + { + "epoch": 0.25, + "learning_rate": 6.62242403073699e-06, + "loss": 1.3146, + "step": 948 + }, + { + "epoch": 0.25, + "learning_rate": 6.629409710094306e-06, + "loss": 1.0267, + "step": 949 + }, + { + "epoch": 0.25, + "learning_rate": 6.636395389451624e-06, + "loss": 1.1265, + "step": 950 + }, + { + "epoch": 0.25, + "learning_rate": 6.643381068808942e-06, + "loss": 1.1449, + "step": 951 + }, + { + "epoch": 0.25, + "learning_rate": 6.650366748166259e-06, + "loss": 1.142, + "step": 952 + }, + { + "epoch": 0.25, + "learning_rate": 6.657352427523577e-06, + "loss": 1.2089, + "step": 953 + }, + { + "epoch": 0.25, + "learning_rate": 6.664338106880895e-06, + "loss": 1.088, + "step": 954 + }, + { + "epoch": 0.25, + "learning_rate": 6.6713237862382116e-06, + "loss": 1.2173, + "step": 955 + }, + { + "epoch": 0.25, + "learning_rate": 6.678309465595529e-06, + "loss": 1.1874, + "step": 956 + }, + { + "epoch": 0.25, + "learning_rate": 6.685295144952847e-06, + "loss": 1.1247, + "step": 957 + }, + { + "epoch": 0.25, + "learning_rate": 6.692280824310164e-06, + "loss": 1.1741, + "step": 958 + }, + { + "epoch": 0.25, + "learning_rate": 6.699266503667482e-06, + "loss": 1.2065, + "step": 959 + }, + { + "epoch": 0.25, + "learning_rate": 6.7062521830248e-06, + "loss": 1.1447, + "step": 960 + }, + { + "epoch": 0.25, + "learning_rate": 6.713237862382117e-06, + "loss": 1.2755, + "step": 961 + }, + { + "epoch": 0.25, + "learning_rate": 6.7202235417394346e-06, + "loss": 1.2663, + "step": 962 + }, + { + "epoch": 0.25, + "learning_rate": 6.727209221096752e-06, + "loss": 1.3535, + "step": 963 + }, + { + "epoch": 0.25, + "learning_rate": 6.734194900454069e-06, + "loss": 1.1639, + "step": 964 + }, + { + "epoch": 0.25, + "learning_rate": 6.741180579811387e-06, + "loss": 1.2464, + "step": 965 + }, + { + "epoch": 0.25, + "learning_rate": 6.748166259168705e-06, + "loss": 1.2848, + "step": 966 + }, + { + "epoch": 0.25, + "learning_rate": 6.755151938526022e-06, + "loss": 1.141, + "step": 967 + }, + { + "epoch": 0.25, + "learning_rate": 6.76213761788334e-06, + "loss": 1.2462, + "step": 968 + }, + { + "epoch": 0.25, + "learning_rate": 6.7691232972406576e-06, + "loss": 0.9378, + "step": 969 + }, + { + "epoch": 0.25, + "learning_rate": 6.7761089765979745e-06, + "loss": 0.9355, + "step": 970 + }, + { + "epoch": 0.25, + "learning_rate": 6.783094655955292e-06, + "loss": 1.1788, + "step": 971 + }, + { + "epoch": 0.25, + "learning_rate": 6.79008033531261e-06, + "loss": 1.2673, + "step": 972 + }, + { + "epoch": 0.25, + "learning_rate": 6.797066014669927e-06, + "loss": 1.0909, + "step": 973 + }, + { + "epoch": 0.26, + "learning_rate": 6.804051694027245e-06, + "loss": 1.1653, + "step": 974 + }, + { + "epoch": 0.26, + "learning_rate": 6.811037373384563e-06, + "loss": 1.1691, + "step": 975 + }, + { + "epoch": 0.26, + "learning_rate": 6.81802305274188e-06, + "loss": 1.2072, + "step": 976 + }, + { + "epoch": 0.26, + "learning_rate": 6.8250087320991975e-06, + "loss": 1.2989, + "step": 977 + }, + { + "epoch": 0.26, + "learning_rate": 6.831994411456515e-06, + "loss": 1.1174, + "step": 978 + }, + { + "epoch": 0.26, + "learning_rate": 6.838980090813832e-06, + "loss": 0.9299, + "step": 979 + }, + { + "epoch": 0.26, + "learning_rate": 6.84596577017115e-06, + "loss": 1.0226, + "step": 980 + }, + { + "epoch": 0.26, + "learning_rate": 6.852951449528468e-06, + "loss": 1.1709, + "step": 981 + }, + { + "epoch": 0.26, + "learning_rate": 6.859937128885785e-06, + "loss": 0.9945, + "step": 982 + }, + { + "epoch": 0.26, + "learning_rate": 6.866922808243103e-06, + "loss": 0.9831, + "step": 983 + }, + { + "epoch": 0.26, + "learning_rate": 6.873908487600419e-06, + "loss": 1.052, + "step": 984 + }, + { + "epoch": 0.26, + "learning_rate": 6.880894166957737e-06, + "loss": 1.0082, + "step": 985 + }, + { + "epoch": 0.26, + "learning_rate": 6.8878798463150544e-06, + "loss": 1.0372, + "step": 986 + }, + { + "epoch": 0.26, + "learning_rate": 6.894865525672371e-06, + "loss": 1.205, + "step": 987 + }, + { + "epoch": 0.26, + "learning_rate": 6.901851205029689e-06, + "loss": 0.9915, + "step": 988 + }, + { + "epoch": 0.26, + "learning_rate": 6.908836884387007e-06, + "loss": 1.2041, + "step": 989 + }, + { + "epoch": 0.26, + "learning_rate": 6.915822563744324e-06, + "loss": 1.0686, + "step": 990 + }, + { + "epoch": 0.26, + "learning_rate": 6.922808243101642e-06, + "loss": 1.0592, + "step": 991 + }, + { + "epoch": 0.26, + "learning_rate": 6.92979392245896e-06, + "loss": 1.0525, + "step": 992 + }, + { + "epoch": 0.26, + "learning_rate": 6.9367796018162766e-06, + "loss": 1.0723, + "step": 993 + }, + { + "epoch": 0.26, + "learning_rate": 6.943765281173594e-06, + "loss": 1.0668, + "step": 994 + }, + { + "epoch": 0.26, + "learning_rate": 6.950750960530912e-06, + "loss": 1.0838, + "step": 995 + }, + { + "epoch": 0.26, + "learning_rate": 6.957736639888229e-06, + "loss": 1.1156, + "step": 996 + }, + { + "epoch": 0.26, + "learning_rate": 6.964722319245547e-06, + "loss": 1.1774, + "step": 997 + }, + { + "epoch": 0.26, + "learning_rate": 6.971707998602865e-06, + "loss": 1.0824, + "step": 998 + }, + { + "epoch": 0.26, + "learning_rate": 6.978693677960182e-06, + "loss": 1.2013, + "step": 999 + }, + { + "epoch": 0.26, + "learning_rate": 6.9856793573174996e-06, + "loss": 1.1249, + "step": 1000 + }, + { + "epoch": 0.26, + "learning_rate": 6.992665036674817e-06, + "loss": 1.2026, + "step": 1001 + }, + { + "epoch": 0.26, + "learning_rate": 6.999650716032134e-06, + "loss": 1.1063, + "step": 1002 + }, + { + "epoch": 0.26, + "learning_rate": 7.006636395389452e-06, + "loss": 1.1961, + "step": 1003 + }, + { + "epoch": 0.26, + "learning_rate": 7.01362207474677e-06, + "loss": 1.0332, + "step": 1004 + }, + { + "epoch": 0.26, + "learning_rate": 7.020607754104087e-06, + "loss": 1.0794, + "step": 1005 + }, + { + "epoch": 0.26, + "learning_rate": 7.027593433461405e-06, + "loss": 1.1263, + "step": 1006 + }, + { + "epoch": 0.26, + "learning_rate": 7.0345791128187226e-06, + "loss": 1.2194, + "step": 1007 + }, + { + "epoch": 0.26, + "learning_rate": 7.0415647921760395e-06, + "loss": 1.0177, + "step": 1008 + }, + { + "epoch": 0.26, + "learning_rate": 7.048550471533357e-06, + "loss": 1.1275, + "step": 1009 + }, + { + "epoch": 0.26, + "learning_rate": 7.055536150890675e-06, + "loss": 1.3614, + "step": 1010 + }, + { + "epoch": 0.26, + "learning_rate": 7.062521830247993e-06, + "loss": 1.2917, + "step": 1011 + }, + { + "epoch": 0.27, + "learning_rate": 7.06950750960531e-06, + "loss": 1.1242, + "step": 1012 + }, + { + "epoch": 0.27, + "learning_rate": 7.076493188962628e-06, + "loss": 1.3068, + "step": 1013 + }, + { + "epoch": 0.27, + "learning_rate": 7.0834788683199455e-06, + "loss": 1.166, + "step": 1014 + }, + { + "epoch": 0.27, + "learning_rate": 7.0904645476772625e-06, + "loss": 1.1178, + "step": 1015 + }, + { + "epoch": 0.27, + "learning_rate": 7.09745022703458e-06, + "loss": 1.0325, + "step": 1016 + }, + { + "epoch": 0.27, + "learning_rate": 7.104435906391898e-06, + "loss": 1.2209, + "step": 1017 + }, + { + "epoch": 0.27, + "learning_rate": 7.111421585749214e-06, + "loss": 1.1005, + "step": 1018 + }, + { + "epoch": 0.27, + "learning_rate": 7.118407265106532e-06, + "loss": 1.0585, + "step": 1019 + }, + { + "epoch": 0.27, + "learning_rate": 7.125392944463849e-06, + "loss": 1.1264, + "step": 1020 + }, + { + "epoch": 0.27, + "learning_rate": 7.132378623821167e-06, + "loss": 1.1732, + "step": 1021 + }, + { + "epoch": 0.27, + "learning_rate": 7.139364303178485e-06, + "loss": 1.0686, + "step": 1022 + }, + { + "epoch": 0.27, + "learning_rate": 7.146349982535802e-06, + "loss": 1.2896, + "step": 1023 + }, + { + "epoch": 0.27, + "learning_rate": 7.1533356618931194e-06, + "loss": 1.1112, + "step": 1024 + }, + { + "epoch": 0.27, + "learning_rate": 7.160321341250437e-06, + "loss": 0.993, + "step": 1025 + }, + { + "epoch": 0.27, + "learning_rate": 7.167307020607754e-06, + "loss": 1.1689, + "step": 1026 + }, + { + "epoch": 0.27, + "learning_rate": 7.174292699965072e-06, + "loss": 1.1818, + "step": 1027 + }, + { + "epoch": 0.27, + "learning_rate": 7.18127837932239e-06, + "loss": 1.1, + "step": 1028 + }, + { + "epoch": 0.27, + "learning_rate": 7.188264058679707e-06, + "loss": 1.0705, + "step": 1029 + }, + { + "epoch": 0.27, + "learning_rate": 7.195249738037025e-06, + "loss": 1.0829, + "step": 1030 + }, + { + "epoch": 0.27, + "learning_rate": 7.2022354173943424e-06, + "loss": 1.0234, + "step": 1031 + }, + { + "epoch": 0.27, + "learning_rate": 7.209221096751659e-06, + "loss": 1.1229, + "step": 1032 + }, + { + "epoch": 0.27, + "learning_rate": 7.216206776108977e-06, + "loss": 1.1893, + "step": 1033 + }, + { + "epoch": 0.27, + "learning_rate": 7.223192455466295e-06, + "loss": 1.2186, + "step": 1034 + }, + { + "epoch": 0.27, + "learning_rate": 7.230178134823612e-06, + "loss": 1.1591, + "step": 1035 + }, + { + "epoch": 0.27, + "learning_rate": 7.23716381418093e-06, + "loss": 1.0311, + "step": 1036 + }, + { + "epoch": 0.27, + "learning_rate": 7.244149493538248e-06, + "loss": 1.1166, + "step": 1037 + }, + { + "epoch": 0.27, + "learning_rate": 7.2511351728955646e-06, + "loss": 1.1902, + "step": 1038 + }, + { + "epoch": 0.27, + "learning_rate": 7.258120852252882e-06, + "loss": 1.244, + "step": 1039 + }, + { + "epoch": 0.27, + "learning_rate": 7.2651065316102e-06, + "loss": 1.069, + "step": 1040 + }, + { + "epoch": 0.27, + "learning_rate": 7.272092210967517e-06, + "loss": 1.0669, + "step": 1041 + }, + { + "epoch": 0.27, + "learning_rate": 7.279077890324835e-06, + "loss": 1.1441, + "step": 1042 + }, + { + "epoch": 0.27, + "learning_rate": 7.286063569682153e-06, + "loss": 1.2316, + "step": 1043 + }, + { + "epoch": 0.27, + "learning_rate": 7.29304924903947e-06, + "loss": 1.2607, + "step": 1044 + }, + { + "epoch": 0.27, + "learning_rate": 7.3000349283967876e-06, + "loss": 1.0504, + "step": 1045 + }, + { + "epoch": 0.27, + "learning_rate": 7.307020607754105e-06, + "loss": 1.1299, + "step": 1046 + }, + { + "epoch": 0.27, + "learning_rate": 7.314006287111422e-06, + "loss": 1.0015, + "step": 1047 + }, + { + "epoch": 0.27, + "learning_rate": 7.32099196646874e-06, + "loss": 1.1391, + "step": 1048 + }, + { + "epoch": 0.27, + "learning_rate": 7.327977645826058e-06, + "loss": 1.0767, + "step": 1049 + }, + { + "epoch": 0.28, + "learning_rate": 7.334963325183375e-06, + "loss": 1.3686, + "step": 1050 + }, + { + "epoch": 0.28, + "learning_rate": 7.341949004540693e-06, + "loss": 1.1962, + "step": 1051 + }, + { + "epoch": 0.28, + "learning_rate": 7.3489346838980105e-06, + "loss": 1.2094, + "step": 1052 + }, + { + "epoch": 0.28, + "learning_rate": 7.355920363255327e-06, + "loss": 1.1653, + "step": 1053 + }, + { + "epoch": 0.28, + "learning_rate": 7.3629060426126445e-06, + "loss": 1.1511, + "step": 1054 + }, + { + "epoch": 0.28, + "learning_rate": 7.3698917219699614e-06, + "loss": 1.0565, + "step": 1055 + }, + { + "epoch": 0.28, + "learning_rate": 7.376877401327279e-06, + "loss": 1.1702, + "step": 1056 + }, + { + "epoch": 0.28, + "learning_rate": 7.383863080684597e-06, + "loss": 1.0898, + "step": 1057 + }, + { + "epoch": 0.28, + "learning_rate": 7.390848760041914e-06, + "loss": 1.0467, + "step": 1058 + }, + { + "epoch": 0.28, + "learning_rate": 7.397834439399232e-06, + "loss": 1.1014, + "step": 1059 + }, + { + "epoch": 0.28, + "learning_rate": 7.40482011875655e-06, + "loss": 1.1278, + "step": 1060 + }, + { + "epoch": 0.28, + "learning_rate": 7.411805798113867e-06, + "loss": 1.1274, + "step": 1061 + }, + { + "epoch": 0.28, + "learning_rate": 7.4187914774711844e-06, + "loss": 1.1136, + "step": 1062 + }, + { + "epoch": 0.28, + "learning_rate": 7.425777156828502e-06, + "loss": 1.2585, + "step": 1063 + }, + { + "epoch": 0.28, + "learning_rate": 7.432762836185819e-06, + "loss": 1.0951, + "step": 1064 + }, + { + "epoch": 0.28, + "learning_rate": 7.439748515543137e-06, + "loss": 1.1729, + "step": 1065 + }, + { + "epoch": 0.28, + "learning_rate": 7.446734194900455e-06, + "loss": 1.0821, + "step": 1066 + }, + { + "epoch": 0.28, + "learning_rate": 7.453719874257772e-06, + "loss": 1.0998, + "step": 1067 + }, + { + "epoch": 0.28, + "learning_rate": 7.46070555361509e-06, + "loss": 1.1339, + "step": 1068 + }, + { + "epoch": 0.28, + "learning_rate": 7.4676912329724074e-06, + "loss": 1.1858, + "step": 1069 + }, + { + "epoch": 0.28, + "learning_rate": 7.474676912329724e-06, + "loss": 1.1244, + "step": 1070 + }, + { + "epoch": 0.28, + "learning_rate": 7.481662591687042e-06, + "loss": 1.3606, + "step": 1071 + }, + { + "epoch": 0.28, + "learning_rate": 7.48864827104436e-06, + "loss": 1.0949, + "step": 1072 + }, + { + "epoch": 0.28, + "learning_rate": 7.495633950401677e-06, + "loss": 1.3719, + "step": 1073 + }, + { + "epoch": 0.28, + "learning_rate": 7.502619629758995e-06, + "loss": 1.093, + "step": 1074 + }, + { + "epoch": 0.28, + "learning_rate": 7.509605309116313e-06, + "loss": 1.0662, + "step": 1075 + }, + { + "epoch": 0.28, + "learning_rate": 7.5165909884736296e-06, + "loss": 1.109, + "step": 1076 + }, + { + "epoch": 0.28, + "learning_rate": 7.523576667830947e-06, + "loss": 1.1648, + "step": 1077 + }, + { + "epoch": 0.28, + "learning_rate": 7.530562347188265e-06, + "loss": 1.0067, + "step": 1078 + }, + { + "epoch": 0.28, + "learning_rate": 7.537548026545582e-06, + "loss": 1.0886, + "step": 1079 + }, + { + "epoch": 0.28, + "learning_rate": 7.5445337059029e-06, + "loss": 1.3001, + "step": 1080 + }, + { + "epoch": 0.28, + "learning_rate": 7.551519385260218e-06, + "loss": 0.9982, + "step": 1081 + }, + { + "epoch": 0.28, + "learning_rate": 7.558505064617535e-06, + "loss": 1.1937, + "step": 1082 + }, + { + "epoch": 0.28, + "learning_rate": 7.5654907439748526e-06, + "loss": 1.0505, + "step": 1083 + }, + { + "epoch": 0.28, + "learning_rate": 7.57247642333217e-06, + "loss": 1.158, + "step": 1084 + }, + { + "epoch": 0.28, + "learning_rate": 7.579462102689487e-06, + "loss": 1.1947, + "step": 1085 + }, + { + "epoch": 0.28, + "learning_rate": 7.586447782046805e-06, + "loss": 1.0351, + "step": 1086 + }, + { + "epoch": 0.28, + "learning_rate": 7.593433461404121e-06, + "loss": 0.9456, + "step": 1087 + }, + { + "epoch": 0.29, + "learning_rate": 7.600419140761439e-06, + "loss": 1.1926, + "step": 1088 + }, + { + "epoch": 0.29, + "learning_rate": 7.607404820118757e-06, + "loss": 1.0148, + "step": 1089 + }, + { + "epoch": 0.29, + "learning_rate": 7.614390499476074e-06, + "loss": 1.0586, + "step": 1090 + }, + { + "epoch": 0.29, + "learning_rate": 7.621376178833392e-06, + "loss": 0.9762, + "step": 1091 + }, + { + "epoch": 0.29, + "learning_rate": 7.6283618581907095e-06, + "loss": 1.1221, + "step": 1092 + }, + { + "epoch": 0.29, + "learning_rate": 7.635347537548026e-06, + "loss": 1.1833, + "step": 1093 + }, + { + "epoch": 0.29, + "learning_rate": 7.642333216905344e-06, + "loss": 1.113, + "step": 1094 + }, + { + "epoch": 0.29, + "learning_rate": 7.649318896262662e-06, + "loss": 1.1647, + "step": 1095 + }, + { + "epoch": 0.29, + "learning_rate": 7.65630457561998e-06, + "loss": 1.2043, + "step": 1096 + }, + { + "epoch": 0.29, + "learning_rate": 7.663290254977298e-06, + "loss": 0.9713, + "step": 1097 + }, + { + "epoch": 0.29, + "learning_rate": 7.670275934334614e-06, + "loss": 0.9674, + "step": 1098 + }, + { + "epoch": 0.29, + "learning_rate": 7.677261613691932e-06, + "loss": 1.0311, + "step": 1099 + }, + { + "epoch": 0.29, + "learning_rate": 7.68424729304925e-06, + "loss": 1.1766, + "step": 1100 + }, + { + "epoch": 0.29, + "learning_rate": 7.691232972406567e-06, + "loss": 1.0189, + "step": 1101 + }, + { + "epoch": 0.29, + "learning_rate": 7.698218651763885e-06, + "loss": 0.99, + "step": 1102 + }, + { + "epoch": 0.29, + "learning_rate": 7.705204331121203e-06, + "loss": 1.1309, + "step": 1103 + }, + { + "epoch": 0.29, + "learning_rate": 7.712190010478519e-06, + "loss": 1.014, + "step": 1104 + }, + { + "epoch": 0.29, + "learning_rate": 7.719175689835837e-06, + "loss": 0.9649, + "step": 1105 + }, + { + "epoch": 0.29, + "learning_rate": 7.726161369193155e-06, + "loss": 1.0691, + "step": 1106 + }, + { + "epoch": 0.29, + "learning_rate": 7.733147048550472e-06, + "loss": 1.1396, + "step": 1107 + }, + { + "epoch": 0.29, + "learning_rate": 7.74013272790779e-06, + "loss": 1.38, + "step": 1108 + }, + { + "epoch": 0.29, + "learning_rate": 7.747118407265108e-06, + "loss": 1.491, + "step": 1109 + }, + { + "epoch": 0.29, + "learning_rate": 7.754104086622424e-06, + "loss": 1.1332, + "step": 1110 + }, + { + "epoch": 0.29, + "learning_rate": 7.761089765979742e-06, + "loss": 1.1721, + "step": 1111 + }, + { + "epoch": 0.29, + "learning_rate": 7.76807544533706e-06, + "loss": 1.177, + "step": 1112 + }, + { + "epoch": 0.29, + "learning_rate": 7.775061124694378e-06, + "loss": 1.045, + "step": 1113 + }, + { + "epoch": 0.29, + "learning_rate": 7.782046804051695e-06, + "loss": 1.1726, + "step": 1114 + }, + { + "epoch": 0.29, + "learning_rate": 7.789032483409013e-06, + "loss": 1.0496, + "step": 1115 + }, + { + "epoch": 0.29, + "learning_rate": 7.79601816276633e-06, + "loss": 1.0953, + "step": 1116 + }, + { + "epoch": 0.29, + "learning_rate": 7.803003842123647e-06, + "loss": 1.137, + "step": 1117 + }, + { + "epoch": 0.29, + "learning_rate": 7.809989521480965e-06, + "loss": 1.1734, + "step": 1118 + }, + { + "epoch": 0.29, + "learning_rate": 7.816975200838283e-06, + "loss": 1.1564, + "step": 1119 + }, + { + "epoch": 0.29, + "learning_rate": 7.8239608801956e-06, + "loss": 1.2342, + "step": 1120 + }, + { + "epoch": 0.29, + "learning_rate": 7.830946559552918e-06, + "loss": 1.0247, + "step": 1121 + }, + { + "epoch": 0.29, + "learning_rate": 7.837932238910235e-06, + "loss": 1.1545, + "step": 1122 + }, + { + "epoch": 0.29, + "learning_rate": 7.844917918267552e-06, + "loss": 1.0117, + "step": 1123 + }, + { + "epoch": 0.29, + "learning_rate": 7.851903597624868e-06, + "loss": 0.9944, + "step": 1124 + }, + { + "epoch": 0.29, + "learning_rate": 7.858889276982186e-06, + "loss": 1.1168, + "step": 1125 + }, + { + "epoch": 0.29, + "learning_rate": 7.865874956339504e-06, + "loss": 1.173, + "step": 1126 + }, + { + "epoch": 0.3, + "learning_rate": 7.872860635696822e-06, + "loss": 1.0494, + "step": 1127 + }, + { + "epoch": 0.3, + "learning_rate": 7.87984631505414e-06, + "loss": 1.216, + "step": 1128 + }, + { + "epoch": 0.3, + "learning_rate": 7.886831994411458e-06, + "loss": 1.0822, + "step": 1129 + }, + { + "epoch": 0.3, + "learning_rate": 7.893817673768774e-06, + "loss": 1.0659, + "step": 1130 + }, + { + "epoch": 0.3, + "learning_rate": 7.900803353126091e-06, + "loss": 1.2653, + "step": 1131 + }, + { + "epoch": 0.3, + "learning_rate": 7.90778903248341e-06, + "loss": 1.0779, + "step": 1132 + }, + { + "epoch": 0.3, + "learning_rate": 7.914774711840727e-06, + "loss": 1.2177, + "step": 1133 + }, + { + "epoch": 0.3, + "learning_rate": 7.921760391198045e-06, + "loss": 1.0716, + "step": 1134 + }, + { + "epoch": 0.3, + "learning_rate": 7.928746070555363e-06, + "loss": 1.0118, + "step": 1135 + }, + { + "epoch": 0.3, + "learning_rate": 7.935731749912679e-06, + "loss": 1.2374, + "step": 1136 + }, + { + "epoch": 0.3, + "learning_rate": 7.942717429269997e-06, + "loss": 1.2059, + "step": 1137 + }, + { + "epoch": 0.3, + "learning_rate": 7.949703108627314e-06, + "loss": 1.1668, + "step": 1138 + }, + { + "epoch": 0.3, + "learning_rate": 7.956688787984632e-06, + "loss": 1.0031, + "step": 1139 + }, + { + "epoch": 0.3, + "learning_rate": 7.96367446734195e-06, + "loss": 0.9859, + "step": 1140 + }, + { + "epoch": 0.3, + "learning_rate": 7.970660146699268e-06, + "loss": 1.0618, + "step": 1141 + }, + { + "epoch": 0.3, + "learning_rate": 7.977645826056584e-06, + "loss": 1.0964, + "step": 1142 + }, + { + "epoch": 0.3, + "learning_rate": 7.984631505413902e-06, + "loss": 1.1604, + "step": 1143 + }, + { + "epoch": 0.3, + "learning_rate": 7.99161718477122e-06, + "loss": 1.053, + "step": 1144 + }, + { + "epoch": 0.3, + "learning_rate": 7.998602864128537e-06, + "loss": 1.4088, + "step": 1145 + }, + { + "epoch": 0.3, + "learning_rate": 8.005588543485855e-06, + "loss": 1.0513, + "step": 1146 + }, + { + "epoch": 0.3, + "learning_rate": 8.012574222843173e-06, + "loss": 1.0278, + "step": 1147 + }, + { + "epoch": 0.3, + "learning_rate": 8.01955990220049e-06, + "loss": 0.9826, + "step": 1148 + }, + { + "epoch": 0.3, + "learning_rate": 8.026545581557807e-06, + "loss": 1.0264, + "step": 1149 + }, + { + "epoch": 0.3, + "learning_rate": 8.033531260915125e-06, + "loss": 1.0922, + "step": 1150 + }, + { + "epoch": 0.3, + "learning_rate": 8.040516940272443e-06, + "loss": 1.2956, + "step": 1151 + }, + { + "epoch": 0.3, + "learning_rate": 8.04750261962976e-06, + "loss": 1.141, + "step": 1152 + }, + { + "epoch": 0.3, + "learning_rate": 8.054488298987078e-06, + "loss": 0.9719, + "step": 1153 + }, + { + "epoch": 0.3, + "learning_rate": 8.061473978344394e-06, + "loss": 1.288, + "step": 1154 + }, + { + "epoch": 0.3, + "learning_rate": 8.068459657701712e-06, + "loss": 0.972, + "step": 1155 + }, + { + "epoch": 0.3, + "learning_rate": 8.075445337059028e-06, + "loss": 1.1767, + "step": 1156 + }, + { + "epoch": 0.3, + "learning_rate": 8.082431016416346e-06, + "loss": 1.126, + "step": 1157 + }, + { + "epoch": 0.3, + "learning_rate": 8.089416695773664e-06, + "loss": 1.1823, + "step": 1158 + }, + { + "epoch": 0.3, + "learning_rate": 8.096402375130982e-06, + "loss": 0.9922, + "step": 1159 + }, + { + "epoch": 0.3, + "learning_rate": 8.1033880544883e-06, + "loss": 1.0735, + "step": 1160 + }, + { + "epoch": 0.3, + "learning_rate": 8.110373733845617e-06, + "loss": 1.2451, + "step": 1161 + }, + { + "epoch": 0.3, + "learning_rate": 8.117359413202933e-06, + "loss": 1.1223, + "step": 1162 + }, + { + "epoch": 0.3, + "learning_rate": 8.124345092560251e-06, + "loss": 1.3777, + "step": 1163 + }, + { + "epoch": 0.3, + "learning_rate": 8.131330771917569e-06, + "loss": 0.9809, + "step": 1164 + }, + { + "epoch": 0.31, + "learning_rate": 8.138316451274887e-06, + "loss": 0.9895, + "step": 1165 + }, + { + "epoch": 0.31, + "learning_rate": 8.145302130632205e-06, + "loss": 0.994, + "step": 1166 + }, + { + "epoch": 0.31, + "learning_rate": 8.152287809989523e-06, + "loss": 1.0897, + "step": 1167 + }, + { + "epoch": 0.31, + "learning_rate": 8.15927348934684e-06, + "loss": 0.9562, + "step": 1168 + }, + { + "epoch": 0.31, + "learning_rate": 8.166259168704156e-06, + "loss": 0.9956, + "step": 1169 + }, + { + "epoch": 0.31, + "learning_rate": 8.173244848061474e-06, + "loss": 1.1233, + "step": 1170 + }, + { + "epoch": 0.31, + "learning_rate": 8.180230527418792e-06, + "loss": 1.1622, + "step": 1171 + }, + { + "epoch": 0.31, + "learning_rate": 8.18721620677611e-06, + "loss": 1.0891, + "step": 1172 + }, + { + "epoch": 0.31, + "learning_rate": 8.194201886133428e-06, + "loss": 1.2218, + "step": 1173 + }, + { + "epoch": 0.31, + "learning_rate": 8.201187565490746e-06, + "loss": 0.9867, + "step": 1174 + }, + { + "epoch": 0.31, + "learning_rate": 8.208173244848062e-06, + "loss": 1.1316, + "step": 1175 + }, + { + "epoch": 0.31, + "learning_rate": 8.21515892420538e-06, + "loss": 1.0695, + "step": 1176 + }, + { + "epoch": 0.31, + "learning_rate": 8.222144603562697e-06, + "loss": 1.1156, + "step": 1177 + }, + { + "epoch": 0.31, + "learning_rate": 8.229130282920015e-06, + "loss": 0.8624, + "step": 1178 + }, + { + "epoch": 0.31, + "learning_rate": 8.236115962277333e-06, + "loss": 1.153, + "step": 1179 + }, + { + "epoch": 0.31, + "learning_rate": 8.24310164163465e-06, + "loss": 1.2592, + "step": 1180 + }, + { + "epoch": 0.31, + "learning_rate": 8.250087320991967e-06, + "loss": 0.965, + "step": 1181 + }, + { + "epoch": 0.31, + "learning_rate": 8.257073000349285e-06, + "loss": 1.1933, + "step": 1182 + }, + { + "epoch": 0.31, + "learning_rate": 8.264058679706602e-06, + "loss": 1.0527, + "step": 1183 + }, + { + "epoch": 0.31, + "learning_rate": 8.27104435906392e-06, + "loss": 1.1073, + "step": 1184 + }, + { + "epoch": 0.31, + "learning_rate": 8.278030038421238e-06, + "loss": 1.0596, + "step": 1185 + }, + { + "epoch": 0.31, + "learning_rate": 8.285015717778556e-06, + "loss": 0.9647, + "step": 1186 + }, + { + "epoch": 0.31, + "learning_rate": 8.292001397135872e-06, + "loss": 0.9955, + "step": 1187 + }, + { + "epoch": 0.31, + "learning_rate": 8.29898707649319e-06, + "loss": 1.2591, + "step": 1188 + }, + { + "epoch": 0.31, + "learning_rate": 8.305972755850508e-06, + "loss": 1.0047, + "step": 1189 + }, + { + "epoch": 0.31, + "learning_rate": 8.312958435207825e-06, + "loss": 1.207, + "step": 1190 + }, + { + "epoch": 0.31, + "learning_rate": 8.319944114565142e-06, + "loss": 1.2602, + "step": 1191 + }, + { + "epoch": 0.31, + "learning_rate": 8.32692979392246e-06, + "loss": 1.0984, + "step": 1192 + }, + { + "epoch": 0.31, + "learning_rate": 8.333915473279777e-06, + "loss": 1.1516, + "step": 1193 + }, + { + "epoch": 0.31, + "learning_rate": 8.340901152637095e-06, + "loss": 1.0703, + "step": 1194 + }, + { + "epoch": 0.31, + "learning_rate": 8.347886831994411e-06, + "loss": 1.1238, + "step": 1195 + }, + { + "epoch": 0.31, + "learning_rate": 8.354872511351729e-06, + "loss": 1.0136, + "step": 1196 + }, + { + "epoch": 0.31, + "learning_rate": 8.361858190709047e-06, + "loss": 1.3173, + "step": 1197 + }, + { + "epoch": 0.31, + "learning_rate": 8.368843870066365e-06, + "loss": 1.0438, + "step": 1198 + }, + { + "epoch": 0.31, + "learning_rate": 8.375829549423682e-06, + "loss": 1.0867, + "step": 1199 + }, + { + "epoch": 0.31, + "learning_rate": 8.382815228781e-06, + "loss": 1.0268, + "step": 1200 + }, + { + "epoch": 0.31, + "learning_rate": 8.389800908138316e-06, + "loss": 1.2407, + "step": 1201 + }, + { + "epoch": 0.31, + "learning_rate": 8.396786587495634e-06, + "loss": 1.0216, + "step": 1202 + }, + { + "epoch": 0.32, + "learning_rate": 8.403772266852952e-06, + "loss": 1.1782, + "step": 1203 + }, + { + "epoch": 0.32, + "learning_rate": 8.41075794621027e-06, + "loss": 1.1898, + "step": 1204 + }, + { + "epoch": 0.32, + "learning_rate": 8.417743625567588e-06, + "loss": 1.0449, + "step": 1205 + }, + { + "epoch": 0.32, + "learning_rate": 8.424729304924905e-06, + "loss": 1.1025, + "step": 1206 + }, + { + "epoch": 0.32, + "learning_rate": 8.431714984282221e-06, + "loss": 1.1548, + "step": 1207 + }, + { + "epoch": 0.32, + "learning_rate": 8.43870066363954e-06, + "loss": 0.9652, + "step": 1208 + }, + { + "epoch": 0.32, + "learning_rate": 8.445686342996857e-06, + "loss": 0.9479, + "step": 1209 + }, + { + "epoch": 0.32, + "learning_rate": 8.452672022354175e-06, + "loss": 0.9658, + "step": 1210 + }, + { + "epoch": 0.32, + "learning_rate": 8.459657701711493e-06, + "loss": 1.1873, + "step": 1211 + }, + { + "epoch": 0.32, + "learning_rate": 8.46664338106881e-06, + "loss": 1.1882, + "step": 1212 + }, + { + "epoch": 0.32, + "learning_rate": 8.473629060426127e-06, + "loss": 1.0687, + "step": 1213 + }, + { + "epoch": 0.32, + "learning_rate": 8.480614739783444e-06, + "loss": 1.0143, + "step": 1214 + }, + { + "epoch": 0.32, + "learning_rate": 8.487600419140762e-06, + "loss": 1.2559, + "step": 1215 + }, + { + "epoch": 0.32, + "learning_rate": 8.49458609849808e-06, + "loss": 1.0636, + "step": 1216 + }, + { + "epoch": 0.32, + "learning_rate": 8.501571777855398e-06, + "loss": 1.0072, + "step": 1217 + }, + { + "epoch": 0.32, + "learning_rate": 8.508557457212716e-06, + "loss": 1.1395, + "step": 1218 + }, + { + "epoch": 0.32, + "learning_rate": 8.515543136570032e-06, + "loss": 1.0788, + "step": 1219 + }, + { + "epoch": 0.32, + "learning_rate": 8.52252881592735e-06, + "loss": 1.0328, + "step": 1220 + }, + { + "epoch": 0.32, + "learning_rate": 8.529514495284667e-06, + "loss": 1.0337, + "step": 1221 + }, + { + "epoch": 0.32, + "learning_rate": 8.536500174641985e-06, + "loss": 1.0089, + "step": 1222 + }, + { + "epoch": 0.32, + "learning_rate": 8.543485853999303e-06, + "loss": 1.2692, + "step": 1223 + }, + { + "epoch": 0.32, + "learning_rate": 8.550471533356621e-06, + "loss": 0.9779, + "step": 1224 + }, + { + "epoch": 0.32, + "learning_rate": 8.557457212713937e-06, + "loss": 1.1229, + "step": 1225 + }, + { + "epoch": 0.32, + "learning_rate": 8.564442892071255e-06, + "loss": 0.968, + "step": 1226 + }, + { + "epoch": 0.32, + "learning_rate": 8.571428571428571e-06, + "loss": 1.1355, + "step": 1227 + }, + { + "epoch": 0.32, + "learning_rate": 8.578414250785889e-06, + "loss": 1.1167, + "step": 1228 + }, + { + "epoch": 0.32, + "learning_rate": 8.585399930143207e-06, + "loss": 1.1482, + "step": 1229 + }, + { + "epoch": 0.32, + "learning_rate": 8.592385609500524e-06, + "loss": 0.9757, + "step": 1230 + }, + { + "epoch": 0.32, + "learning_rate": 8.599371288857842e-06, + "loss": 0.9273, + "step": 1231 + }, + { + "epoch": 0.32, + "learning_rate": 8.60635696821516e-06, + "loss": 0.9766, + "step": 1232 + }, + { + "epoch": 0.32, + "learning_rate": 8.613342647572476e-06, + "loss": 1.2285, + "step": 1233 + }, + { + "epoch": 0.32, + "learning_rate": 8.620328326929794e-06, + "loss": 1.337, + "step": 1234 + }, + { + "epoch": 0.32, + "learning_rate": 8.627314006287112e-06, + "loss": 1.2258, + "step": 1235 + }, + { + "epoch": 0.32, + "learning_rate": 8.63429968564443e-06, + "loss": 1.1253, + "step": 1236 + }, + { + "epoch": 0.32, + "learning_rate": 8.641285365001747e-06, + "loss": 1.1331, + "step": 1237 + }, + { + "epoch": 0.32, + "learning_rate": 8.648271044359065e-06, + "loss": 1.1082, + "step": 1238 + }, + { + "epoch": 0.32, + "learning_rate": 8.655256723716381e-06, + "loss": 1.1977, + "step": 1239 + }, + { + "epoch": 0.32, + "learning_rate": 8.662242403073699e-06, + "loss": 1.2983, + "step": 1240 + }, + { + "epoch": 0.33, + "learning_rate": 8.669228082431017e-06, + "loss": 0.9319, + "step": 1241 + }, + { + "epoch": 0.33, + "learning_rate": 8.676213761788335e-06, + "loss": 1.0618, + "step": 1242 + }, + { + "epoch": 0.33, + "learning_rate": 8.683199441145653e-06, + "loss": 1.0123, + "step": 1243 + }, + { + "epoch": 0.33, + "learning_rate": 8.69018512050297e-06, + "loss": 1.127, + "step": 1244 + }, + { + "epoch": 0.33, + "learning_rate": 8.697170799860286e-06, + "loss": 0.9231, + "step": 1245 + }, + { + "epoch": 0.33, + "learning_rate": 8.704156479217604e-06, + "loss": 1.0739, + "step": 1246 + }, + { + "epoch": 0.33, + "learning_rate": 8.711142158574922e-06, + "loss": 1.2418, + "step": 1247 + }, + { + "epoch": 0.33, + "learning_rate": 8.71812783793224e-06, + "loss": 1.1432, + "step": 1248 + }, + { + "epoch": 0.33, + "learning_rate": 8.725113517289558e-06, + "loss": 0.9105, + "step": 1249 + }, + { + "epoch": 0.33, + "learning_rate": 8.732099196646876e-06, + "loss": 1.0745, + "step": 1250 + }, + { + "epoch": 0.33, + "learning_rate": 8.739084876004192e-06, + "loss": 1.1295, + "step": 1251 + }, + { + "epoch": 0.33, + "learning_rate": 8.74607055536151e-06, + "loss": 1.1029, + "step": 1252 + }, + { + "epoch": 0.33, + "learning_rate": 8.753056234718827e-06, + "loss": 1.0508, + "step": 1253 + }, + { + "epoch": 0.33, + "learning_rate": 8.760041914076145e-06, + "loss": 0.9513, + "step": 1254 + }, + { + "epoch": 0.33, + "learning_rate": 8.767027593433463e-06, + "loss": 0.9839, + "step": 1255 + }, + { + "epoch": 0.33, + "learning_rate": 8.77401327279078e-06, + "loss": 1.158, + "step": 1256 + }, + { + "epoch": 0.33, + "learning_rate": 8.780998952148097e-06, + "loss": 1.1099, + "step": 1257 + }, + { + "epoch": 0.33, + "learning_rate": 8.787984631505415e-06, + "loss": 1.0387, + "step": 1258 + }, + { + "epoch": 0.33, + "learning_rate": 8.794970310862732e-06, + "loss": 1.1678, + "step": 1259 + }, + { + "epoch": 0.33, + "learning_rate": 8.801955990220049e-06, + "loss": 1.057, + "step": 1260 + }, + { + "epoch": 0.33, + "learning_rate": 8.808941669577366e-06, + "loss": 1.0382, + "step": 1261 + }, + { + "epoch": 0.33, + "learning_rate": 8.815927348934684e-06, + "loss": 1.1657, + "step": 1262 + }, + { + "epoch": 0.33, + "learning_rate": 8.822913028292002e-06, + "loss": 1.063, + "step": 1263 + }, + { + "epoch": 0.33, + "learning_rate": 8.82989870764932e-06, + "loss": 1.0099, + "step": 1264 + }, + { + "epoch": 0.33, + "learning_rate": 8.836884387006636e-06, + "loss": 1.2619, + "step": 1265 + }, + { + "epoch": 0.33, + "learning_rate": 8.843870066363954e-06, + "loss": 1.1516, + "step": 1266 + }, + { + "epoch": 0.33, + "learning_rate": 8.850855745721272e-06, + "loss": 1.0919, + "step": 1267 + }, + { + "epoch": 0.33, + "learning_rate": 8.85784142507859e-06, + "loss": 1.1035, + "step": 1268 + }, + { + "epoch": 0.33, + "learning_rate": 8.864827104435907e-06, + "loss": 0.939, + "step": 1269 + }, + { + "epoch": 0.33, + "learning_rate": 8.871812783793225e-06, + "loss": 1.161, + "step": 1270 + }, + { + "epoch": 0.33, + "learning_rate": 8.878798463150541e-06, + "loss": 0.9641, + "step": 1271 + }, + { + "epoch": 0.33, + "learning_rate": 8.885784142507859e-06, + "loss": 1.0655, + "step": 1272 + }, + { + "epoch": 0.33, + "learning_rate": 8.892769821865177e-06, + "loss": 1.1281, + "step": 1273 + }, + { + "epoch": 0.33, + "learning_rate": 8.899755501222495e-06, + "loss": 1.233, + "step": 1274 + }, + { + "epoch": 0.33, + "learning_rate": 8.906741180579812e-06, + "loss": 0.9749, + "step": 1275 + }, + { + "epoch": 0.33, + "learning_rate": 8.91372685993713e-06, + "loss": 1.0217, + "step": 1276 + }, + { + "epoch": 0.33, + "learning_rate": 8.920712539294448e-06, + "loss": 1.1812, + "step": 1277 + }, + { + "epoch": 0.33, + "learning_rate": 8.927698218651764e-06, + "loss": 1.0588, + "step": 1278 + }, + { + "epoch": 0.34, + "learning_rate": 8.934683898009082e-06, + "loss": 0.9533, + "step": 1279 + }, + { + "epoch": 0.34, + "learning_rate": 8.9416695773664e-06, + "loss": 1.0227, + "step": 1280 + }, + { + "epoch": 0.34, + "learning_rate": 8.948655256723718e-06, + "loss": 1.2081, + "step": 1281 + }, + { + "epoch": 0.34, + "learning_rate": 8.955640936081035e-06, + "loss": 1.0741, + "step": 1282 + }, + { + "epoch": 0.34, + "learning_rate": 8.962626615438353e-06, + "loss": 1.1146, + "step": 1283 + }, + { + "epoch": 0.34, + "learning_rate": 8.96961229479567e-06, + "loss": 1.1611, + "step": 1284 + }, + { + "epoch": 0.34, + "learning_rate": 8.976597974152987e-06, + "loss": 1.1562, + "step": 1285 + }, + { + "epoch": 0.34, + "learning_rate": 8.983583653510305e-06, + "loss": 0.939, + "step": 1286 + }, + { + "epoch": 0.34, + "learning_rate": 8.990569332867623e-06, + "loss": 1.0433, + "step": 1287 + }, + { + "epoch": 0.34, + "learning_rate": 8.99755501222494e-06, + "loss": 0.9477, + "step": 1288 + }, + { + "epoch": 0.34, + "learning_rate": 9.004540691582258e-06, + "loss": 1.0798, + "step": 1289 + }, + { + "epoch": 0.34, + "learning_rate": 9.011526370939574e-06, + "loss": 1.0917, + "step": 1290 + }, + { + "epoch": 0.34, + "learning_rate": 9.018512050296892e-06, + "loss": 1.1489, + "step": 1291 + }, + { + "epoch": 0.34, + "learning_rate": 9.02549772965421e-06, + "loss": 1.1059, + "step": 1292 + }, + { + "epoch": 0.34, + "learning_rate": 9.032483409011528e-06, + "loss": 1.0204, + "step": 1293 + }, + { + "epoch": 0.34, + "learning_rate": 9.039469088368844e-06, + "loss": 0.9371, + "step": 1294 + }, + { + "epoch": 0.34, + "learning_rate": 9.046454767726162e-06, + "loss": 1.0264, + "step": 1295 + }, + { + "epoch": 0.34, + "learning_rate": 9.05344044708348e-06, + "loss": 1.0838, + "step": 1296 + }, + { + "epoch": 0.34, + "learning_rate": 9.060426126440797e-06, + "loss": 0.8561, + "step": 1297 + }, + { + "epoch": 0.34, + "learning_rate": 9.067411805798114e-06, + "loss": 1.0952, + "step": 1298 + }, + { + "epoch": 0.34, + "learning_rate": 9.074397485155431e-06, + "loss": 1.0056, + "step": 1299 + }, + { + "epoch": 0.34, + "learning_rate": 9.08138316451275e-06, + "loss": 0.9554, + "step": 1300 + }, + { + "epoch": 0.34, + "learning_rate": 9.088368843870067e-06, + "loss": 0.8875, + "step": 1301 + }, + { + "epoch": 0.34, + "learning_rate": 9.095354523227385e-06, + "loss": 0.9998, + "step": 1302 + }, + { + "epoch": 0.34, + "learning_rate": 9.102340202584703e-06, + "loss": 0.973, + "step": 1303 + }, + { + "epoch": 0.34, + "learning_rate": 9.109325881942019e-06, + "loss": 0.9976, + "step": 1304 + }, + { + "epoch": 0.34, + "learning_rate": 9.116311561299337e-06, + "loss": 1.2535, + "step": 1305 + }, + { + "epoch": 0.34, + "learning_rate": 9.123297240656654e-06, + "loss": 0.9656, + "step": 1306 + }, + { + "epoch": 0.34, + "learning_rate": 9.130282920013972e-06, + "loss": 1.1636, + "step": 1307 + }, + { + "epoch": 0.34, + "learning_rate": 9.13726859937129e-06, + "loss": 1.1264, + "step": 1308 + }, + { + "epoch": 0.34, + "learning_rate": 9.144254278728608e-06, + "loss": 1.0612, + "step": 1309 + }, + { + "epoch": 0.34, + "learning_rate": 9.151239958085924e-06, + "loss": 0.9304, + "step": 1310 + }, + { + "epoch": 0.34, + "learning_rate": 9.158225637443242e-06, + "loss": 1.099, + "step": 1311 + }, + { + "epoch": 0.34, + "learning_rate": 9.16521131680056e-06, + "loss": 0.8749, + "step": 1312 + }, + { + "epoch": 0.34, + "learning_rate": 9.172196996157877e-06, + "loss": 0.9988, + "step": 1313 + }, + { + "epoch": 0.34, + "learning_rate": 9.179182675515195e-06, + "loss": 1.0548, + "step": 1314 + }, + { + "epoch": 0.34, + "learning_rate": 9.186168354872513e-06, + "loss": 1.4301, + "step": 1315 + }, + { + "epoch": 0.34, + "learning_rate": 9.193154034229829e-06, + "loss": 1.2622, + "step": 1316 + }, + { + "epoch": 0.34, + "learning_rate": 9.200139713587147e-06, + "loss": 1.2534, + "step": 1317 + }, + { + "epoch": 0.35, + "learning_rate": 9.207125392944465e-06, + "loss": 1.1139, + "step": 1318 + }, + { + "epoch": 0.35, + "learning_rate": 9.214111072301783e-06, + "loss": 1.1818, + "step": 1319 + }, + { + "epoch": 0.35, + "learning_rate": 9.2210967516591e-06, + "loss": 1.062, + "step": 1320 + }, + { + "epoch": 0.35, + "learning_rate": 9.228082431016418e-06, + "loss": 1.0844, + "step": 1321 + }, + { + "epoch": 0.35, + "learning_rate": 9.235068110373734e-06, + "loss": 1.0216, + "step": 1322 + }, + { + "epoch": 0.35, + "learning_rate": 9.242053789731052e-06, + "loss": 0.9635, + "step": 1323 + }, + { + "epoch": 0.35, + "learning_rate": 9.24903946908837e-06, + "loss": 1.0439, + "step": 1324 + }, + { + "epoch": 0.35, + "learning_rate": 9.256025148445688e-06, + "loss": 1.0045, + "step": 1325 + }, + { + "epoch": 0.35, + "learning_rate": 9.263010827803006e-06, + "loss": 1.0508, + "step": 1326 + }, + { + "epoch": 0.35, + "learning_rate": 9.269996507160323e-06, + "loss": 0.9816, + "step": 1327 + }, + { + "epoch": 0.35, + "learning_rate": 9.27698218651764e-06, + "loss": 1.0544, + "step": 1328 + }, + { + "epoch": 0.35, + "learning_rate": 9.283967865874957e-06, + "loss": 0.9438, + "step": 1329 + }, + { + "epoch": 0.35, + "learning_rate": 9.290953545232273e-06, + "loss": 1.0216, + "step": 1330 + }, + { + "epoch": 0.35, + "learning_rate": 9.297939224589591e-06, + "loss": 1.0519, + "step": 1331 + }, + { + "epoch": 0.35, + "learning_rate": 9.304924903946909e-06, + "loss": 1.0149, + "step": 1332 + }, + { + "epoch": 0.35, + "learning_rate": 9.311910583304227e-06, + "loss": 0.9157, + "step": 1333 + }, + { + "epoch": 0.35, + "learning_rate": 9.318896262661545e-06, + "loss": 1.2704, + "step": 1334 + }, + { + "epoch": 0.35, + "learning_rate": 9.325881942018862e-06, + "loss": 0.8968, + "step": 1335 + }, + { + "epoch": 0.35, + "learning_rate": 9.332867621376179e-06, + "loss": 1.123, + "step": 1336 + }, + { + "epoch": 0.35, + "learning_rate": 9.339853300733496e-06, + "loss": 1.0815, + "step": 1337 + }, + { + "epoch": 0.35, + "learning_rate": 9.346838980090814e-06, + "loss": 1.0884, + "step": 1338 + }, + { + "epoch": 0.35, + "learning_rate": 9.353824659448132e-06, + "loss": 1.0399, + "step": 1339 + }, + { + "epoch": 0.35, + "learning_rate": 9.36081033880545e-06, + "loss": 1.1665, + "step": 1340 + }, + { + "epoch": 0.35, + "learning_rate": 9.367796018162768e-06, + "loss": 1.0052, + "step": 1341 + }, + { + "epoch": 0.35, + "learning_rate": 9.374781697520084e-06, + "loss": 1.0273, + "step": 1342 + }, + { + "epoch": 0.35, + "learning_rate": 9.381767376877402e-06, + "loss": 1.0306, + "step": 1343 + }, + { + "epoch": 0.35, + "learning_rate": 9.38875305623472e-06, + "loss": 1.172, + "step": 1344 + }, + { + "epoch": 0.35, + "learning_rate": 9.395738735592037e-06, + "loss": 1.1502, + "step": 1345 + }, + { + "epoch": 0.35, + "learning_rate": 9.402724414949355e-06, + "loss": 1.1449, + "step": 1346 + }, + { + "epoch": 0.35, + "learning_rate": 9.409710094306673e-06, + "loss": 1.2357, + "step": 1347 + }, + { + "epoch": 0.35, + "learning_rate": 9.416695773663989e-06, + "loss": 0.8855, + "step": 1348 + }, + { + "epoch": 0.35, + "learning_rate": 9.423681453021307e-06, + "loss": 1.1163, + "step": 1349 + }, + { + "epoch": 0.35, + "learning_rate": 9.430667132378625e-06, + "loss": 1.0401, + "step": 1350 + }, + { + "epoch": 0.35, + "learning_rate": 9.437652811735942e-06, + "loss": 0.9353, + "step": 1351 + }, + { + "epoch": 0.35, + "learning_rate": 9.44463849109326e-06, + "loss": 0.8153, + "step": 1352 + }, + { + "epoch": 0.35, + "learning_rate": 9.451624170450578e-06, + "loss": 1.1113, + "step": 1353 + }, + { + "epoch": 0.35, + "learning_rate": 9.458609849807894e-06, + "loss": 1.0312, + "step": 1354 + }, + { + "epoch": 0.35, + "learning_rate": 9.465595529165212e-06, + "loss": 1.1165, + "step": 1355 + }, + { + "epoch": 0.36, + "learning_rate": 9.47258120852253e-06, + "loss": 0.9646, + "step": 1356 + }, + { + "epoch": 0.36, + "learning_rate": 9.479566887879848e-06, + "loss": 1.0864, + "step": 1357 + }, + { + "epoch": 0.36, + "learning_rate": 9.486552567237165e-06, + "loss": 0.9317, + "step": 1358 + }, + { + "epoch": 0.36, + "learning_rate": 9.493538246594483e-06, + "loss": 1.2162, + "step": 1359 + }, + { + "epoch": 0.36, + "learning_rate": 9.5005239259518e-06, + "loss": 1.0982, + "step": 1360 + }, + { + "epoch": 0.36, + "learning_rate": 9.507509605309117e-06, + "loss": 1.2154, + "step": 1361 + }, + { + "epoch": 0.36, + "learning_rate": 9.514495284666435e-06, + "loss": 1.0134, + "step": 1362 + }, + { + "epoch": 0.36, + "learning_rate": 9.521480964023751e-06, + "loss": 0.84, + "step": 1363 + }, + { + "epoch": 0.36, + "learning_rate": 9.528466643381069e-06, + "loss": 1.0956, + "step": 1364 + }, + { + "epoch": 0.36, + "learning_rate": 9.535452322738387e-06, + "loss": 1.1525, + "step": 1365 + }, + { + "epoch": 0.36, + "learning_rate": 9.542438002095704e-06, + "loss": 0.8488, + "step": 1366 + }, + { + "epoch": 0.36, + "learning_rate": 9.549423681453022e-06, + "loss": 1.078, + "step": 1367 + }, + { + "epoch": 0.36, + "learning_rate": 9.556409360810338e-06, + "loss": 1.2113, + "step": 1368 + }, + { + "epoch": 0.36, + "learning_rate": 9.563395040167656e-06, + "loss": 1.1155, + "step": 1369 + }, + { + "epoch": 0.36, + "learning_rate": 9.570380719524974e-06, + "loss": 1.0689, + "step": 1370 + }, + { + "epoch": 0.36, + "learning_rate": 9.577366398882292e-06, + "loss": 1.0115, + "step": 1371 + }, + { + "epoch": 0.36, + "learning_rate": 9.58435207823961e-06, + "loss": 1.0813, + "step": 1372 + }, + { + "epoch": 0.36, + "learning_rate": 9.591337757596927e-06, + "loss": 0.9866, + "step": 1373 + }, + { + "epoch": 0.36, + "learning_rate": 9.598323436954244e-06, + "loss": 1.0498, + "step": 1374 + }, + { + "epoch": 0.36, + "learning_rate": 9.605309116311561e-06, + "loss": 0.9373, + "step": 1375 + }, + { + "epoch": 0.36, + "learning_rate": 9.61229479566888e-06, + "loss": 0.9695, + "step": 1376 + }, + { + "epoch": 0.36, + "learning_rate": 9.619280475026197e-06, + "loss": 1.1033, + "step": 1377 + }, + { + "epoch": 0.36, + "learning_rate": 9.626266154383515e-06, + "loss": 1.0195, + "step": 1378 + }, + { + "epoch": 0.36, + "learning_rate": 9.633251833740833e-06, + "loss": 0.9394, + "step": 1379 + }, + { + "epoch": 0.36, + "learning_rate": 9.64023751309815e-06, + "loss": 1.2196, + "step": 1380 + }, + { + "epoch": 0.36, + "learning_rate": 9.647223192455467e-06, + "loss": 1.0463, + "step": 1381 + }, + { + "epoch": 0.36, + "learning_rate": 9.654208871812784e-06, + "loss": 1.1831, + "step": 1382 + }, + { + "epoch": 0.36, + "learning_rate": 9.661194551170102e-06, + "loss": 1.1994, + "step": 1383 + }, + { + "epoch": 0.36, + "learning_rate": 9.66818023052742e-06, + "loss": 1.1979, + "step": 1384 + }, + { + "epoch": 0.36, + "learning_rate": 9.675165909884738e-06, + "loss": 1.2288, + "step": 1385 + }, + { + "epoch": 0.36, + "learning_rate": 9.682151589242056e-06, + "loss": 0.9792, + "step": 1386 + }, + { + "epoch": 0.36, + "learning_rate": 9.689137268599372e-06, + "loss": 0.9927, + "step": 1387 + }, + { + "epoch": 0.36, + "learning_rate": 9.69612294795669e-06, + "loss": 1.0831, + "step": 1388 + }, + { + "epoch": 0.36, + "learning_rate": 9.703108627314007e-06, + "loss": 0.996, + "step": 1389 + }, + { + "epoch": 0.36, + "learning_rate": 9.710094306671325e-06, + "loss": 1.1698, + "step": 1390 + }, + { + "epoch": 0.36, + "learning_rate": 9.717079986028643e-06, + "loss": 0.9889, + "step": 1391 + }, + { + "epoch": 0.36, + "learning_rate": 9.72406566538596e-06, + "loss": 0.8795, + "step": 1392 + }, + { + "epoch": 0.36, + "learning_rate": 9.731051344743277e-06, + "loss": 1.0013, + "step": 1393 + }, + { + "epoch": 0.37, + "learning_rate": 9.738037024100595e-06, + "loss": 1.159, + "step": 1394 + }, + { + "epoch": 0.37, + "learning_rate": 9.745022703457913e-06, + "loss": 1.1905, + "step": 1395 + }, + { + "epoch": 0.37, + "learning_rate": 9.75200838281523e-06, + "loss": 1.447, + "step": 1396 + }, + { + "epoch": 0.37, + "learning_rate": 9.758994062172548e-06, + "loss": 1.1375, + "step": 1397 + }, + { + "epoch": 0.37, + "learning_rate": 9.765979741529864e-06, + "loss": 1.0666, + "step": 1398 + }, + { + "epoch": 0.37, + "learning_rate": 9.772965420887182e-06, + "loss": 1.3094, + "step": 1399 + }, + { + "epoch": 0.37, + "learning_rate": 9.7799511002445e-06, + "loss": 0.978, + "step": 1400 + }, + { + "epoch": 0.37, + "learning_rate": 9.786936779601816e-06, + "loss": 1.1219, + "step": 1401 + }, + { + "epoch": 0.37, + "learning_rate": 9.793922458959134e-06, + "loss": 0.8758, + "step": 1402 + }, + { + "epoch": 0.37, + "learning_rate": 9.800908138316452e-06, + "loss": 1.0848, + "step": 1403 + }, + { + "epoch": 0.37, + "learning_rate": 9.80789381767377e-06, + "loss": 1.1483, + "step": 1404 + }, + { + "epoch": 0.37, + "learning_rate": 9.814879497031087e-06, + "loss": 1.0213, + "step": 1405 + }, + { + "epoch": 0.37, + "learning_rate": 9.821865176388405e-06, + "loss": 1.0195, + "step": 1406 + }, + { + "epoch": 0.37, + "learning_rate": 9.828850855745721e-06, + "loss": 1.099, + "step": 1407 + }, + { + "epoch": 0.37, + "learning_rate": 9.835836535103039e-06, + "loss": 1.0105, + "step": 1408 + }, + { + "epoch": 0.37, + "learning_rate": 9.842822214460357e-06, + "loss": 0.9089, + "step": 1409 + }, + { + "epoch": 0.37, + "learning_rate": 9.849807893817675e-06, + "loss": 1.1503, + "step": 1410 + }, + { + "epoch": 0.37, + "learning_rate": 9.856793573174992e-06, + "loss": 1.0661, + "step": 1411 + }, + { + "epoch": 0.37, + "learning_rate": 9.86377925253231e-06, + "loss": 0.8991, + "step": 1412 + }, + { + "epoch": 0.37, + "learning_rate": 9.870764931889626e-06, + "loss": 1.0755, + "step": 1413 + }, + { + "epoch": 0.37, + "learning_rate": 9.877750611246944e-06, + "loss": 1.0177, + "step": 1414 + }, + { + "epoch": 0.37, + "learning_rate": 9.884736290604262e-06, + "loss": 1.0759, + "step": 1415 + }, + { + "epoch": 0.37, + "learning_rate": 9.89172196996158e-06, + "loss": 1.2507, + "step": 1416 + }, + { + "epoch": 0.37, + "learning_rate": 9.898707649318898e-06, + "loss": 1.0452, + "step": 1417 + }, + { + "epoch": 0.37, + "learning_rate": 9.905693328676215e-06, + "loss": 1.0108, + "step": 1418 + }, + { + "epoch": 0.37, + "learning_rate": 9.912679008033532e-06, + "loss": 1.1044, + "step": 1419 + }, + { + "epoch": 0.37, + "learning_rate": 9.91966468739085e-06, + "loss": 1.145, + "step": 1420 + }, + { + "epoch": 0.37, + "learning_rate": 9.926650366748167e-06, + "loss": 0.9409, + "step": 1421 + }, + { + "epoch": 0.37, + "learning_rate": 9.933636046105485e-06, + "loss": 0.9584, + "step": 1422 + }, + { + "epoch": 0.37, + "learning_rate": 9.940621725462803e-06, + "loss": 1.1168, + "step": 1423 + }, + { + "epoch": 0.37, + "learning_rate": 9.94760740482012e-06, + "loss": 1.2371, + "step": 1424 + }, + { + "epoch": 0.37, + "learning_rate": 9.954593084177437e-06, + "loss": 1.1532, + "step": 1425 + }, + { + "epoch": 0.37, + "learning_rate": 9.961578763534755e-06, + "loss": 0.9478, + "step": 1426 + }, + { + "epoch": 0.37, + "learning_rate": 9.968564442892072e-06, + "loss": 1.0417, + "step": 1427 + }, + { + "epoch": 0.37, + "learning_rate": 9.97555012224939e-06, + "loss": 1.2498, + "step": 1428 + }, + { + "epoch": 0.37, + "learning_rate": 9.982535801606708e-06, + "loss": 0.9267, + "step": 1429 + }, + { + "epoch": 0.37, + "learning_rate": 9.989521480964026e-06, + "loss": 1.0495, + "step": 1430 + }, + { + "epoch": 0.37, + "learning_rate": 9.996507160321342e-06, + "loss": 0.9942, + "step": 1431 + }, + { + "epoch": 0.38, + "learning_rate": 1.000349283967866e-05, + "loss": 1.0648, + "step": 1432 + }, + { + "epoch": 0.38, + "learning_rate": 1.0010478519035978e-05, + "loss": 1.0832, + "step": 1433 + }, + { + "epoch": 0.38, + "learning_rate": 1.0017464198393294e-05, + "loss": 0.9488, + "step": 1434 + }, + { + "epoch": 0.38, + "learning_rate": 1.0024449877750613e-05, + "loss": 1.0661, + "step": 1435 + }, + { + "epoch": 0.38, + "learning_rate": 1.003143555710793e-05, + "loss": 1.2035, + "step": 1436 + }, + { + "epoch": 0.38, + "learning_rate": 1.0038421236465247e-05, + "loss": 1.0578, + "step": 1437 + }, + { + "epoch": 0.38, + "learning_rate": 1.0045406915822565e-05, + "loss": 0.9555, + "step": 1438 + }, + { + "epoch": 0.38, + "learning_rate": 1.0052392595179883e-05, + "loss": 0.9185, + "step": 1439 + }, + { + "epoch": 0.38, + "learning_rate": 1.0059378274537199e-05, + "loss": 0.9555, + "step": 1440 + }, + { + "epoch": 0.38, + "learning_rate": 1.0066363953894518e-05, + "loss": 0.8988, + "step": 1441 + }, + { + "epoch": 0.38, + "learning_rate": 1.0073349633251834e-05, + "loss": 1.1019, + "step": 1442 + }, + { + "epoch": 0.38, + "learning_rate": 1.0080335312609152e-05, + "loss": 0.9927, + "step": 1443 + }, + { + "epoch": 0.38, + "learning_rate": 1.008732099196647e-05, + "loss": 1.1244, + "step": 1444 + }, + { + "epoch": 0.38, + "learning_rate": 1.0094306671323788e-05, + "loss": 1.1463, + "step": 1445 + }, + { + "epoch": 0.38, + "learning_rate": 1.0101292350681104e-05, + "loss": 1.082, + "step": 1446 + }, + { + "epoch": 0.38, + "learning_rate": 1.0108278030038424e-05, + "loss": 1.1542, + "step": 1447 + }, + { + "epoch": 0.38, + "learning_rate": 1.011526370939574e-05, + "loss": 0.9663, + "step": 1448 + }, + { + "epoch": 0.38, + "learning_rate": 1.0122249388753056e-05, + "loss": 0.9325, + "step": 1449 + }, + { + "epoch": 0.38, + "learning_rate": 1.0129235068110375e-05, + "loss": 0.9802, + "step": 1450 + }, + { + "epoch": 0.38, + "learning_rate": 1.0136220747467691e-05, + "loss": 1.0799, + "step": 1451 + }, + { + "epoch": 0.38, + "learning_rate": 1.014320642682501e-05, + "loss": 1.0222, + "step": 1452 + }, + { + "epoch": 0.38, + "learning_rate": 1.0150192106182325e-05, + "loss": 1.16, + "step": 1453 + }, + { + "epoch": 0.38, + "learning_rate": 1.0157177785539645e-05, + "loss": 1.0262, + "step": 1454 + }, + { + "epoch": 0.38, + "learning_rate": 1.0164163464896961e-05, + "loss": 1.0124, + "step": 1455 + }, + { + "epoch": 0.38, + "learning_rate": 1.017114914425428e-05, + "loss": 1.0276, + "step": 1456 + }, + { + "epoch": 0.38, + "learning_rate": 1.0178134823611597e-05, + "loss": 1.0962, + "step": 1457 + }, + { + "epoch": 0.38, + "learning_rate": 1.0185120502968914e-05, + "loss": 0.8556, + "step": 1458 + }, + { + "epoch": 0.38, + "learning_rate": 1.019210618232623e-05, + "loss": 1.0801, + "step": 1459 + }, + { + "epoch": 0.38, + "learning_rate": 1.019909186168355e-05, + "loss": 1.3106, + "step": 1460 + }, + { + "epoch": 0.38, + "learning_rate": 1.0206077541040866e-05, + "loss": 0.9575, + "step": 1461 + }, + { + "epoch": 0.38, + "learning_rate": 1.0213063220398186e-05, + "loss": 0.9193, + "step": 1462 + }, + { + "epoch": 0.38, + "learning_rate": 1.0220048899755502e-05, + "loss": 1.0867, + "step": 1463 + }, + { + "epoch": 0.38, + "learning_rate": 1.022703457911282e-05, + "loss": 1.2414, + "step": 1464 + }, + { + "epoch": 0.38, + "learning_rate": 1.0234020258470136e-05, + "loss": 1.2133, + "step": 1465 + }, + { + "epoch": 0.38, + "learning_rate": 1.0241005937827455e-05, + "loss": 1.0062, + "step": 1466 + }, + { + "epoch": 0.38, + "learning_rate": 1.0247991617184771e-05, + "loss": 0.9314, + "step": 1467 + }, + { + "epoch": 0.38, + "learning_rate": 1.025497729654209e-05, + "loss": 1.1397, + "step": 1468 + }, + { + "epoch": 0.38, + "learning_rate": 1.0261962975899407e-05, + "loss": 1.1417, + "step": 1469 + }, + { + "epoch": 0.39, + "learning_rate": 1.0268948655256725e-05, + "loss": 0.9726, + "step": 1470 + }, + { + "epoch": 0.39, + "learning_rate": 1.027593433461404e-05, + "loss": 1.1652, + "step": 1471 + }, + { + "epoch": 0.39, + "learning_rate": 1.028292001397136e-05, + "loss": 0.9249, + "step": 1472 + }, + { + "epoch": 0.39, + "learning_rate": 1.0289905693328676e-05, + "loss": 1.0828, + "step": 1473 + }, + { + "epoch": 0.39, + "learning_rate": 1.0296891372685996e-05, + "loss": 1.1481, + "step": 1474 + }, + { + "epoch": 0.39, + "learning_rate": 1.0303877052043312e-05, + "loss": 1.1262, + "step": 1475 + }, + { + "epoch": 0.39, + "learning_rate": 1.031086273140063e-05, + "loss": 1.0115, + "step": 1476 + }, + { + "epoch": 0.39, + "learning_rate": 1.0317848410757946e-05, + "loss": 1.1965, + "step": 1477 + }, + { + "epoch": 0.39, + "learning_rate": 1.0324834090115266e-05, + "loss": 0.9826, + "step": 1478 + }, + { + "epoch": 0.39, + "learning_rate": 1.0331819769472582e-05, + "loss": 1.0624, + "step": 1479 + }, + { + "epoch": 0.39, + "learning_rate": 1.0338805448829901e-05, + "loss": 1.0813, + "step": 1480 + }, + { + "epoch": 0.39, + "learning_rate": 1.0345791128187217e-05, + "loss": 1.2576, + "step": 1481 + }, + { + "epoch": 0.39, + "learning_rate": 1.0352776807544535e-05, + "loss": 1.04, + "step": 1482 + }, + { + "epoch": 0.39, + "learning_rate": 1.0359762486901851e-05, + "loss": 1.1134, + "step": 1483 + }, + { + "epoch": 0.39, + "learning_rate": 1.0366748166259169e-05, + "loss": 0.9966, + "step": 1484 + }, + { + "epoch": 0.39, + "learning_rate": 1.0373733845616487e-05, + "loss": 0.9973, + "step": 1485 + }, + { + "epoch": 0.39, + "learning_rate": 1.0380719524973803e-05, + "loss": 1.0072, + "step": 1486 + }, + { + "epoch": 0.39, + "learning_rate": 1.0387705204331122e-05, + "loss": 0.9508, + "step": 1487 + }, + { + "epoch": 0.39, + "learning_rate": 1.0394690883688439e-05, + "loss": 0.9979, + "step": 1488 + }, + { + "epoch": 0.39, + "learning_rate": 1.0401676563045758e-05, + "loss": 1.0371, + "step": 1489 + }, + { + "epoch": 0.39, + "learning_rate": 1.0408662242403074e-05, + "loss": 0.9825, + "step": 1490 + }, + { + "epoch": 0.39, + "learning_rate": 1.0415647921760392e-05, + "loss": 1.0424, + "step": 1491 + }, + { + "epoch": 0.39, + "learning_rate": 1.0422633601117708e-05, + "loss": 1.1731, + "step": 1492 + }, + { + "epoch": 0.39, + "learning_rate": 1.0429619280475028e-05, + "loss": 0.9085, + "step": 1493 + }, + { + "epoch": 0.39, + "learning_rate": 1.0436604959832344e-05, + "loss": 0.9615, + "step": 1494 + }, + { + "epoch": 0.39, + "learning_rate": 1.0443590639189663e-05, + "loss": 1.2075, + "step": 1495 + }, + { + "epoch": 0.39, + "learning_rate": 1.045057631854698e-05, + "loss": 1.0462, + "step": 1496 + }, + { + "epoch": 0.39, + "learning_rate": 1.0457561997904297e-05, + "loss": 0.9117, + "step": 1497 + }, + { + "epoch": 0.39, + "learning_rate": 1.0464547677261613e-05, + "loss": 0.9083, + "step": 1498 + }, + { + "epoch": 0.39, + "learning_rate": 1.0471533356618933e-05, + "loss": 1.124, + "step": 1499 + }, + { + "epoch": 0.39, + "learning_rate": 1.0478519035976249e-05, + "loss": 1.0294, + "step": 1500 + }, + { + "epoch": 0.39, + "learning_rate": 1.0485504715333568e-05, + "loss": 1.0891, + "step": 1501 + }, + { + "epoch": 0.39, + "learning_rate": 1.0492490394690885e-05, + "loss": 1.2051, + "step": 1502 + }, + { + "epoch": 0.39, + "learning_rate": 1.0499476074048202e-05, + "loss": 1.0911, + "step": 1503 + }, + { + "epoch": 0.39, + "learning_rate": 1.0506461753405518e-05, + "loss": 1.1757, + "step": 1504 + }, + { + "epoch": 0.39, + "learning_rate": 1.0513447432762838e-05, + "loss": 1.0035, + "step": 1505 + }, + { + "epoch": 0.39, + "learning_rate": 1.0520433112120154e-05, + "loss": 1.197, + "step": 1506 + }, + { + "epoch": 0.39, + "learning_rate": 1.0527418791477474e-05, + "loss": 1.0552, + "step": 1507 + }, + { + "epoch": 0.4, + "learning_rate": 1.053440447083479e-05, + "loss": 0.8929, + "step": 1508 + }, + { + "epoch": 0.4, + "learning_rate": 1.0541390150192108e-05, + "loss": 1.1345, + "step": 1509 + }, + { + "epoch": 0.4, + "learning_rate": 1.0548375829549424e-05, + "loss": 1.1865, + "step": 1510 + }, + { + "epoch": 0.4, + "learning_rate": 1.0555361508906743e-05, + "loss": 1.0741, + "step": 1511 + }, + { + "epoch": 0.4, + "learning_rate": 1.056234718826406e-05, + "loss": 1.3126, + "step": 1512 + }, + { + "epoch": 0.4, + "learning_rate": 1.0569332867621379e-05, + "loss": 0.9801, + "step": 1513 + }, + { + "epoch": 0.4, + "learning_rate": 1.0576318546978695e-05, + "loss": 1.0937, + "step": 1514 + }, + { + "epoch": 0.4, + "learning_rate": 1.0583304226336013e-05, + "loss": 1.1558, + "step": 1515 + }, + { + "epoch": 0.4, + "learning_rate": 1.0590289905693329e-05, + "loss": 1.0705, + "step": 1516 + }, + { + "epoch": 0.4, + "learning_rate": 1.0597275585050648e-05, + "loss": 1.1737, + "step": 1517 + }, + { + "epoch": 0.4, + "learning_rate": 1.0604261264407964e-05, + "loss": 0.9133, + "step": 1518 + }, + { + "epoch": 0.4, + "learning_rate": 1.061124694376528e-05, + "loss": 0.9452, + "step": 1519 + }, + { + "epoch": 0.4, + "learning_rate": 1.06182326231226e-05, + "loss": 1.1432, + "step": 1520 + }, + { + "epoch": 0.4, + "learning_rate": 1.0625218302479916e-05, + "loss": 1.2111, + "step": 1521 + }, + { + "epoch": 0.4, + "learning_rate": 1.0632203981837234e-05, + "loss": 1.0035, + "step": 1522 + }, + { + "epoch": 0.4, + "learning_rate": 1.0639189661194552e-05, + "loss": 0.9852, + "step": 1523 + }, + { + "epoch": 0.4, + "learning_rate": 1.064617534055187e-05, + "loss": 1.0266, + "step": 1524 + }, + { + "epoch": 0.4, + "learning_rate": 1.0653161019909186e-05, + "loss": 1.0294, + "step": 1525 + }, + { + "epoch": 0.4, + "learning_rate": 1.0660146699266505e-05, + "loss": 1.1696, + "step": 1526 + }, + { + "epoch": 0.4, + "learning_rate": 1.0667132378623821e-05, + "loss": 1.0428, + "step": 1527 + }, + { + "epoch": 0.4, + "learning_rate": 1.067411805798114e-05, + "loss": 0.9221, + "step": 1528 + }, + { + "epoch": 0.4, + "learning_rate": 1.0681103737338457e-05, + "loss": 1.0619, + "step": 1529 + }, + { + "epoch": 0.4, + "learning_rate": 1.0688089416695775e-05, + "loss": 1.1713, + "step": 1530 + }, + { + "epoch": 0.4, + "learning_rate": 1.0695075096053091e-05, + "loss": 1.1092, + "step": 1531 + }, + { + "epoch": 0.4, + "learning_rate": 1.070206077541041e-05, + "loss": 1.2173, + "step": 1532 + }, + { + "epoch": 0.4, + "learning_rate": 1.0709046454767727e-05, + "loss": 0.8596, + "step": 1533 + }, + { + "epoch": 0.4, + "learning_rate": 1.0716032134125044e-05, + "loss": 1.1521, + "step": 1534 + }, + { + "epoch": 0.4, + "learning_rate": 1.0723017813482362e-05, + "loss": 1.0895, + "step": 1535 + }, + { + "epoch": 0.4, + "learning_rate": 1.073000349283968e-05, + "loss": 1.067, + "step": 1536 + }, + { + "epoch": 0.4, + "learning_rate": 1.0736989172196996e-05, + "loss": 1.1432, + "step": 1537 + }, + { + "epoch": 0.4, + "learning_rate": 1.0743974851554316e-05, + "loss": 0.9149, + "step": 1538 + }, + { + "epoch": 0.4, + "learning_rate": 1.0750960530911632e-05, + "loss": 0.8209, + "step": 1539 + }, + { + "epoch": 0.4, + "learning_rate": 1.075794621026895e-05, + "loss": 1.0524, + "step": 1540 + }, + { + "epoch": 0.4, + "learning_rate": 1.0764931889626267e-05, + "loss": 1.0937, + "step": 1541 + }, + { + "epoch": 0.4, + "learning_rate": 1.0771917568983585e-05, + "loss": 1.0254, + "step": 1542 + }, + { + "epoch": 0.4, + "learning_rate": 1.0778903248340901e-05, + "loss": 1.0709, + "step": 1543 + }, + { + "epoch": 0.4, + "learning_rate": 1.078588892769822e-05, + "loss": 0.9354, + "step": 1544 + }, + { + "epoch": 0.4, + "learning_rate": 1.0792874607055537e-05, + "loss": 1.0455, + "step": 1545 + }, + { + "epoch": 0.4, + "learning_rate": 1.0799860286412855e-05, + "loss": 1.028, + "step": 1546 + }, + { + "epoch": 0.41, + "learning_rate": 1.0806845965770173e-05, + "loss": 1.1741, + "step": 1547 + }, + { + "epoch": 0.41, + "learning_rate": 1.081383164512749e-05, + "loss": 1.0566, + "step": 1548 + }, + { + "epoch": 0.41, + "learning_rate": 1.0820817324484806e-05, + "loss": 1.0289, + "step": 1549 + }, + { + "epoch": 0.41, + "learning_rate": 1.0827803003842126e-05, + "loss": 1.0569, + "step": 1550 + }, + { + "epoch": 0.41, + "learning_rate": 1.0834788683199442e-05, + "loss": 0.9154, + "step": 1551 + }, + { + "epoch": 0.41, + "learning_rate": 1.084177436255676e-05, + "loss": 0.8884, + "step": 1552 + }, + { + "epoch": 0.41, + "learning_rate": 1.0848760041914078e-05, + "loss": 1.1301, + "step": 1553 + }, + { + "epoch": 0.41, + "learning_rate": 1.0855745721271394e-05, + "loss": 0.9181, + "step": 1554 + }, + { + "epoch": 0.41, + "learning_rate": 1.0862731400628712e-05, + "loss": 1.0243, + "step": 1555 + }, + { + "epoch": 0.41, + "learning_rate": 1.0869717079986028e-05, + "loss": 0.9102, + "step": 1556 + }, + { + "epoch": 0.41, + "learning_rate": 1.0876702759343347e-05, + "loss": 1.047, + "step": 1557 + }, + { + "epoch": 0.41, + "learning_rate": 1.0883688438700663e-05, + "loss": 0.8831, + "step": 1558 + }, + { + "epoch": 0.41, + "learning_rate": 1.0890674118057983e-05, + "loss": 1.2262, + "step": 1559 + }, + { + "epoch": 0.41, + "learning_rate": 1.0897659797415299e-05, + "loss": 1.0481, + "step": 1560 + }, + { + "epoch": 0.41, + "learning_rate": 1.0904645476772617e-05, + "loss": 1.1375, + "step": 1561 + }, + { + "epoch": 0.41, + "learning_rate": 1.0911631156129933e-05, + "loss": 1.1803, + "step": 1562 + }, + { + "epoch": 0.41, + "learning_rate": 1.0918616835487252e-05, + "loss": 1.0091, + "step": 1563 + }, + { + "epoch": 0.41, + "learning_rate": 1.0925602514844569e-05, + "loss": 1.1861, + "step": 1564 + }, + { + "epoch": 0.41, + "learning_rate": 1.0932588194201888e-05, + "loss": 0.9802, + "step": 1565 + }, + { + "epoch": 0.41, + "learning_rate": 1.0939573873559204e-05, + "loss": 0.9628, + "step": 1566 + }, + { + "epoch": 0.41, + "learning_rate": 1.0946559552916522e-05, + "loss": 1.0327, + "step": 1567 + }, + { + "epoch": 0.41, + "learning_rate": 1.0953545232273838e-05, + "loss": 1.1398, + "step": 1568 + }, + { + "epoch": 0.41, + "learning_rate": 1.0960530911631158e-05, + "loss": 0.9527, + "step": 1569 + }, + { + "epoch": 0.41, + "learning_rate": 1.0967516590988474e-05, + "loss": 0.9652, + "step": 1570 + }, + { + "epoch": 0.41, + "learning_rate": 1.0974502270345793e-05, + "loss": 1.1273, + "step": 1571 + }, + { + "epoch": 0.41, + "learning_rate": 1.098148794970311e-05, + "loss": 1.0163, + "step": 1572 + }, + { + "epoch": 0.41, + "learning_rate": 1.0988473629060427e-05, + "loss": 0.9356, + "step": 1573 + }, + { + "epoch": 0.41, + "learning_rate": 1.0995459308417743e-05, + "loss": 0.9179, + "step": 1574 + }, + { + "epoch": 0.41, + "learning_rate": 1.1002444987775063e-05, + "loss": 1.0205, + "step": 1575 + }, + { + "epoch": 0.41, + "learning_rate": 1.1009430667132379e-05, + "loss": 1.036, + "step": 1576 + }, + { + "epoch": 0.41, + "learning_rate": 1.1016416346489698e-05, + "loss": 1.2432, + "step": 1577 + }, + { + "epoch": 0.41, + "learning_rate": 1.1023402025847015e-05, + "loss": 1.3637, + "step": 1578 + }, + { + "epoch": 0.41, + "learning_rate": 1.1030387705204332e-05, + "loss": 1.0137, + "step": 1579 + }, + { + "epoch": 0.41, + "learning_rate": 1.1037373384561648e-05, + "loss": 1.0958, + "step": 1580 + }, + { + "epoch": 0.41, + "learning_rate": 1.1044359063918968e-05, + "loss": 1.0443, + "step": 1581 + }, + { + "epoch": 0.41, + "learning_rate": 1.1051344743276284e-05, + "loss": 1.1383, + "step": 1582 + }, + { + "epoch": 0.41, + "learning_rate": 1.1058330422633604e-05, + "loss": 0.9534, + "step": 1583 + }, + { + "epoch": 0.41, + "learning_rate": 1.106531610199092e-05, + "loss": 1.0473, + "step": 1584 + }, + { + "epoch": 0.42, + "learning_rate": 1.1072301781348238e-05, + "loss": 1.1406, + "step": 1585 + }, + { + "epoch": 0.42, + "learning_rate": 1.1079287460705554e-05, + "loss": 0.8799, + "step": 1586 + }, + { + "epoch": 0.42, + "learning_rate": 1.1086273140062871e-05, + "loss": 1.1746, + "step": 1587 + }, + { + "epoch": 0.42, + "learning_rate": 1.109325881942019e-05, + "loss": 1.0887, + "step": 1588 + }, + { + "epoch": 0.42, + "learning_rate": 1.1100244498777505e-05, + "loss": 0.9775, + "step": 1589 + }, + { + "epoch": 0.42, + "learning_rate": 1.1107230178134825e-05, + "loss": 1.0745, + "step": 1590 + }, + { + "epoch": 0.42, + "learning_rate": 1.1114215857492141e-05, + "loss": 0.8276, + "step": 1591 + }, + { + "epoch": 0.42, + "learning_rate": 1.112120153684946e-05, + "loss": 1.2351, + "step": 1592 + }, + { + "epoch": 0.42, + "learning_rate": 1.1128187216206777e-05, + "loss": 1.0249, + "step": 1593 + }, + { + "epoch": 0.42, + "learning_rate": 1.1135172895564094e-05, + "loss": 1.1063, + "step": 1594 + }, + { + "epoch": 0.42, + "learning_rate": 1.114215857492141e-05, + "loss": 0.9237, + "step": 1595 + }, + { + "epoch": 0.42, + "learning_rate": 1.114914425427873e-05, + "loss": 0.8371, + "step": 1596 + }, + { + "epoch": 0.42, + "learning_rate": 1.1156129933636046e-05, + "loss": 0.9733, + "step": 1597 + }, + { + "epoch": 0.42, + "learning_rate": 1.1163115612993366e-05, + "loss": 1.1912, + "step": 1598 + }, + { + "epoch": 0.42, + "learning_rate": 1.1170101292350682e-05, + "loss": 1.0499, + "step": 1599 + }, + { + "epoch": 0.42, + "learning_rate": 1.1177086971708e-05, + "loss": 1.1213, + "step": 1600 + }, + { + "epoch": 0.42, + "learning_rate": 1.1184072651065316e-05, + "loss": 0.9443, + "step": 1601 + }, + { + "epoch": 0.42, + "learning_rate": 1.1191058330422635e-05, + "loss": 0.9728, + "step": 1602 + }, + { + "epoch": 0.42, + "learning_rate": 1.1198044009779951e-05, + "loss": 1.0187, + "step": 1603 + }, + { + "epoch": 0.42, + "learning_rate": 1.1205029689137271e-05, + "loss": 0.9766, + "step": 1604 + }, + { + "epoch": 0.42, + "learning_rate": 1.1212015368494587e-05, + "loss": 0.8431, + "step": 1605 + }, + { + "epoch": 0.42, + "learning_rate": 1.1219001047851905e-05, + "loss": 1.0535, + "step": 1606 + }, + { + "epoch": 0.42, + "learning_rate": 1.1225986727209221e-05, + "loss": 0.8765, + "step": 1607 + }, + { + "epoch": 0.42, + "learning_rate": 1.123297240656654e-05, + "loss": 1.0742, + "step": 1608 + }, + { + "epoch": 0.42, + "learning_rate": 1.1239958085923857e-05, + "loss": 0.9631, + "step": 1609 + }, + { + "epoch": 0.42, + "learning_rate": 1.1246943765281176e-05, + "loss": 0.9616, + "step": 1610 + }, + { + "epoch": 0.42, + "learning_rate": 1.1253929444638492e-05, + "loss": 1.2589, + "step": 1611 + }, + { + "epoch": 0.42, + "learning_rate": 1.126091512399581e-05, + "loss": 1.3351, + "step": 1612 + }, + { + "epoch": 0.42, + "learning_rate": 1.1267900803353126e-05, + "loss": 1.1576, + "step": 1613 + }, + { + "epoch": 0.42, + "learning_rate": 1.1274886482710446e-05, + "loss": 1.1071, + "step": 1614 + }, + { + "epoch": 0.42, + "learning_rate": 1.1281872162067762e-05, + "loss": 1.0065, + "step": 1615 + }, + { + "epoch": 0.42, + "learning_rate": 1.1288857841425081e-05, + "loss": 1.0056, + "step": 1616 + }, + { + "epoch": 0.42, + "learning_rate": 1.1295843520782397e-05, + "loss": 0.9825, + "step": 1617 + }, + { + "epoch": 0.42, + "learning_rate": 1.1302829200139715e-05, + "loss": 0.9191, + "step": 1618 + }, + { + "epoch": 0.42, + "learning_rate": 1.1309814879497031e-05, + "loss": 1.1053, + "step": 1619 + }, + { + "epoch": 0.42, + "learning_rate": 1.131680055885435e-05, + "loss": 0.9773, + "step": 1620 + }, + { + "epoch": 0.42, + "learning_rate": 1.1323786238211667e-05, + "loss": 0.8838, + "step": 1621 + }, + { + "epoch": 0.42, + "learning_rate": 1.1330771917568983e-05, + "loss": 1.1892, + "step": 1622 + }, + { + "epoch": 0.43, + "learning_rate": 1.1337757596926303e-05, + "loss": 1.0263, + "step": 1623 + }, + { + "epoch": 0.43, + "learning_rate": 1.1344743276283619e-05, + "loss": 1.0162, + "step": 1624 + }, + { + "epoch": 0.43, + "learning_rate": 1.1351728955640936e-05, + "loss": 1.0391, + "step": 1625 + }, + { + "epoch": 0.43, + "learning_rate": 1.1358714634998254e-05, + "loss": 1.0437, + "step": 1626 + }, + { + "epoch": 0.43, + "learning_rate": 1.1365700314355572e-05, + "loss": 1.0177, + "step": 1627 + }, + { + "epoch": 0.43, + "learning_rate": 1.1372685993712888e-05, + "loss": 0.9257, + "step": 1628 + }, + { + "epoch": 0.43, + "learning_rate": 1.1379671673070208e-05, + "loss": 1.0404, + "step": 1629 + }, + { + "epoch": 0.43, + "learning_rate": 1.1386657352427524e-05, + "loss": 1.0946, + "step": 1630 + }, + { + "epoch": 0.43, + "learning_rate": 1.1393643031784842e-05, + "loss": 0.9673, + "step": 1631 + }, + { + "epoch": 0.43, + "learning_rate": 1.140062871114216e-05, + "loss": 0.9782, + "step": 1632 + }, + { + "epoch": 0.43, + "learning_rate": 1.1407614390499477e-05, + "loss": 0.9124, + "step": 1633 + }, + { + "epoch": 0.43, + "learning_rate": 1.1414600069856793e-05, + "loss": 0.9968, + "step": 1634 + }, + { + "epoch": 0.43, + "learning_rate": 1.1421585749214113e-05, + "loss": 0.8866, + "step": 1635 + }, + { + "epoch": 0.43, + "learning_rate": 1.1428571428571429e-05, + "loss": 0.9485, + "step": 1636 + }, + { + "epoch": 0.43, + "learning_rate": 1.1435557107928747e-05, + "loss": 0.9387, + "step": 1637 + }, + { + "epoch": 0.43, + "learning_rate": 1.1442542787286065e-05, + "loss": 1.0258, + "step": 1638 + }, + { + "epoch": 0.43, + "learning_rate": 1.1449528466643382e-05, + "loss": 1.0167, + "step": 1639 + }, + { + "epoch": 0.43, + "learning_rate": 1.1456514146000699e-05, + "loss": 0.9922, + "step": 1640 + }, + { + "epoch": 0.43, + "learning_rate": 1.1463499825358018e-05, + "loss": 1.2024, + "step": 1641 + }, + { + "epoch": 0.43, + "learning_rate": 1.1470485504715334e-05, + "loss": 0.9489, + "step": 1642 + }, + { + "epoch": 0.43, + "learning_rate": 1.1477471184072652e-05, + "loss": 1.0257, + "step": 1643 + }, + { + "epoch": 0.43, + "learning_rate": 1.148445686342997e-05, + "loss": 1.1372, + "step": 1644 + }, + { + "epoch": 0.43, + "learning_rate": 1.1491442542787288e-05, + "loss": 1.1057, + "step": 1645 + }, + { + "epoch": 0.43, + "learning_rate": 1.1498428222144604e-05, + "loss": 1.0334, + "step": 1646 + }, + { + "epoch": 0.43, + "learning_rate": 1.1505413901501923e-05, + "loss": 0.8415, + "step": 1647 + }, + { + "epoch": 0.43, + "learning_rate": 1.151239958085924e-05, + "loss": 1.146, + "step": 1648 + }, + { + "epoch": 0.43, + "learning_rate": 1.1519385260216557e-05, + "loss": 1.0466, + "step": 1649 + }, + { + "epoch": 0.43, + "learning_rate": 1.1526370939573875e-05, + "loss": 0.9968, + "step": 1650 + }, + { + "epoch": 0.43, + "learning_rate": 1.1533356618931193e-05, + "loss": 1.0005, + "step": 1651 + }, + { + "epoch": 0.43, + "learning_rate": 1.1540342298288509e-05, + "loss": 1.2151, + "step": 1652 + }, + { + "epoch": 0.43, + "learning_rate": 1.1547327977645828e-05, + "loss": 1.1683, + "step": 1653 + }, + { + "epoch": 0.43, + "learning_rate": 1.1554313657003145e-05, + "loss": 0.8831, + "step": 1654 + }, + { + "epoch": 0.43, + "learning_rate": 1.1561299336360462e-05, + "loss": 0.8404, + "step": 1655 + }, + { + "epoch": 0.43, + "learning_rate": 1.156828501571778e-05, + "loss": 0.9004, + "step": 1656 + }, + { + "epoch": 0.43, + "learning_rate": 1.1575270695075096e-05, + "loss": 0.9177, + "step": 1657 + }, + { + "epoch": 0.43, + "learning_rate": 1.1582256374432414e-05, + "loss": 1.0456, + "step": 1658 + }, + { + "epoch": 0.43, + "learning_rate": 1.158924205378973e-05, + "loss": 1.0378, + "step": 1659 + }, + { + "epoch": 0.43, + "learning_rate": 1.159622773314705e-05, + "loss": 1.0109, + "step": 1660 + }, + { + "epoch": 0.44, + "learning_rate": 1.1603213412504366e-05, + "loss": 1.1062, + "step": 1661 + }, + { + "epoch": 0.44, + "learning_rate": 1.1610199091861685e-05, + "loss": 1.0466, + "step": 1662 + }, + { + "epoch": 0.44, + "learning_rate": 1.1617184771219001e-05, + "loss": 1.1016, + "step": 1663 + }, + { + "epoch": 0.44, + "learning_rate": 1.162417045057632e-05, + "loss": 0.9013, + "step": 1664 + }, + { + "epoch": 0.44, + "learning_rate": 1.1631156129933635e-05, + "loss": 0.8254, + "step": 1665 + }, + { + "epoch": 0.44, + "learning_rate": 1.1638141809290955e-05, + "loss": 1.0784, + "step": 1666 + }, + { + "epoch": 0.44, + "learning_rate": 1.1645127488648271e-05, + "loss": 1.0615, + "step": 1667 + }, + { + "epoch": 0.44, + "learning_rate": 1.165211316800559e-05, + "loss": 0.9426, + "step": 1668 + }, + { + "epoch": 0.44, + "learning_rate": 1.1659098847362907e-05, + "loss": 0.916, + "step": 1669 + }, + { + "epoch": 0.44, + "learning_rate": 1.1666084526720224e-05, + "loss": 1.0233, + "step": 1670 + }, + { + "epoch": 0.44, + "learning_rate": 1.167307020607754e-05, + "loss": 0.9796, + "step": 1671 + }, + { + "epoch": 0.44, + "learning_rate": 1.168005588543486e-05, + "loss": 1.0708, + "step": 1672 + }, + { + "epoch": 0.44, + "learning_rate": 1.1687041564792176e-05, + "loss": 1.196, + "step": 1673 + }, + { + "epoch": 0.44, + "learning_rate": 1.1694027244149496e-05, + "loss": 1.0616, + "step": 1674 + }, + { + "epoch": 0.44, + "learning_rate": 1.1701012923506812e-05, + "loss": 1.0533, + "step": 1675 + }, + { + "epoch": 0.44, + "learning_rate": 1.170799860286413e-05, + "loss": 0.9226, + "step": 1676 + }, + { + "epoch": 0.44, + "learning_rate": 1.1714984282221446e-05, + "loss": 1.1261, + "step": 1677 + }, + { + "epoch": 0.44, + "learning_rate": 1.1721969961578765e-05, + "loss": 1.0012, + "step": 1678 + }, + { + "epoch": 0.44, + "learning_rate": 1.1728955640936081e-05, + "loss": 1.0141, + "step": 1679 + }, + { + "epoch": 0.44, + "learning_rate": 1.1735941320293401e-05, + "loss": 0.9148, + "step": 1680 + }, + { + "epoch": 0.44, + "learning_rate": 1.1742926999650717e-05, + "loss": 0.8515, + "step": 1681 + }, + { + "epoch": 0.44, + "learning_rate": 1.1749912679008035e-05, + "loss": 0.931, + "step": 1682 + }, + { + "epoch": 0.44, + "learning_rate": 1.1756898358365351e-05, + "loss": 1.0334, + "step": 1683 + }, + { + "epoch": 0.44, + "learning_rate": 1.176388403772267e-05, + "loss": 0.9755, + "step": 1684 + }, + { + "epoch": 0.44, + "learning_rate": 1.1770869717079987e-05, + "loss": 1.1368, + "step": 1685 + }, + { + "epoch": 0.44, + "learning_rate": 1.1777855396437306e-05, + "loss": 0.8307, + "step": 1686 + }, + { + "epoch": 0.44, + "learning_rate": 1.1784841075794622e-05, + "loss": 0.8417, + "step": 1687 + }, + { + "epoch": 0.44, + "learning_rate": 1.179182675515194e-05, + "loss": 0.9648, + "step": 1688 + }, + { + "epoch": 0.44, + "learning_rate": 1.1798812434509256e-05, + "loss": 1.0115, + "step": 1689 + }, + { + "epoch": 0.44, + "learning_rate": 1.1805798113866576e-05, + "loss": 1.0071, + "step": 1690 + }, + { + "epoch": 0.44, + "learning_rate": 1.1812783793223892e-05, + "loss": 0.9325, + "step": 1691 + }, + { + "epoch": 0.44, + "learning_rate": 1.1819769472581208e-05, + "loss": 0.9741, + "step": 1692 + }, + { + "epoch": 0.44, + "learning_rate": 1.1826755151938527e-05, + "loss": 0.925, + "step": 1693 + }, + { + "epoch": 0.44, + "learning_rate": 1.1833740831295843e-05, + "loss": 1.2803, + "step": 1694 + }, + { + "epoch": 0.44, + "learning_rate": 1.1840726510653161e-05, + "loss": 0.9506, + "step": 1695 + }, + { + "epoch": 0.44, + "learning_rate": 1.1847712190010479e-05, + "loss": 1.0372, + "step": 1696 + }, + { + "epoch": 0.44, + "learning_rate": 1.1854697869367797e-05, + "loss": 1.0642, + "step": 1697 + }, + { + "epoch": 0.44, + "learning_rate": 1.1861683548725113e-05, + "loss": 1.1371, + "step": 1698 + }, + { + "epoch": 0.45, + "learning_rate": 1.1868669228082433e-05, + "loss": 0.931, + "step": 1699 + }, + { + "epoch": 0.45, + "learning_rate": 1.1875654907439749e-05, + "loss": 0.9544, + "step": 1700 + }, + { + "epoch": 0.45, + "learning_rate": 1.1882640586797068e-05, + "loss": 1.0006, + "step": 1701 + }, + { + "epoch": 0.45, + "learning_rate": 1.1889626266154384e-05, + "loss": 1.0936, + "step": 1702 + }, + { + "epoch": 0.45, + "learning_rate": 1.1896611945511702e-05, + "loss": 0.917, + "step": 1703 + }, + { + "epoch": 0.45, + "learning_rate": 1.1903597624869018e-05, + "loss": 1.0462, + "step": 1704 + }, + { + "epoch": 0.45, + "learning_rate": 1.1910583304226338e-05, + "loss": 1.0009, + "step": 1705 + }, + { + "epoch": 0.45, + "learning_rate": 1.1917568983583654e-05, + "loss": 0.9962, + "step": 1706 + }, + { + "epoch": 0.45, + "learning_rate": 1.1924554662940973e-05, + "loss": 0.9667, + "step": 1707 + }, + { + "epoch": 0.45, + "learning_rate": 1.193154034229829e-05, + "loss": 1.0539, + "step": 1708 + }, + { + "epoch": 0.45, + "learning_rate": 1.1938526021655607e-05, + "loss": 0.9752, + "step": 1709 + }, + { + "epoch": 0.45, + "learning_rate": 1.1945511701012923e-05, + "loss": 1.1546, + "step": 1710 + }, + { + "epoch": 0.45, + "learning_rate": 1.1952497380370243e-05, + "loss": 0.834, + "step": 1711 + }, + { + "epoch": 0.45, + "learning_rate": 1.1959483059727559e-05, + "loss": 1.0482, + "step": 1712 + }, + { + "epoch": 0.45, + "learning_rate": 1.1966468739084879e-05, + "loss": 0.9855, + "step": 1713 + }, + { + "epoch": 0.45, + "learning_rate": 1.1973454418442195e-05, + "loss": 1.2674, + "step": 1714 + }, + { + "epoch": 0.45, + "learning_rate": 1.1980440097799512e-05, + "loss": 0.8866, + "step": 1715 + }, + { + "epoch": 0.45, + "learning_rate": 1.1987425777156829e-05, + "loss": 0.9224, + "step": 1716 + }, + { + "epoch": 0.45, + "learning_rate": 1.1994411456514148e-05, + "loss": 1.3131, + "step": 1717 + }, + { + "epoch": 0.45, + "learning_rate": 1.2001397135871464e-05, + "loss": 0.9632, + "step": 1718 + }, + { + "epoch": 0.45, + "learning_rate": 1.2008382815228784e-05, + "loss": 0.977, + "step": 1719 + }, + { + "epoch": 0.45, + "learning_rate": 1.20153684945861e-05, + "loss": 1.0196, + "step": 1720 + }, + { + "epoch": 0.45, + "learning_rate": 1.2022354173943418e-05, + "loss": 1.0851, + "step": 1721 + }, + { + "epoch": 0.45, + "learning_rate": 1.2029339853300734e-05, + "loss": 1.0192, + "step": 1722 + }, + { + "epoch": 0.45, + "learning_rate": 1.2036325532658053e-05, + "loss": 0.9258, + "step": 1723 + }, + { + "epoch": 0.45, + "learning_rate": 1.204331121201537e-05, + "loss": 1.1219, + "step": 1724 + }, + { + "epoch": 0.45, + "learning_rate": 1.2050296891372686e-05, + "loss": 1.0534, + "step": 1725 + }, + { + "epoch": 0.45, + "learning_rate": 1.2057282570730005e-05, + "loss": 1.0963, + "step": 1726 + }, + { + "epoch": 0.45, + "learning_rate": 1.2064268250087321e-05, + "loss": 0.9521, + "step": 1727 + }, + { + "epoch": 0.45, + "learning_rate": 1.2071253929444639e-05, + "loss": 0.8933, + "step": 1728 + }, + { + "epoch": 0.45, + "learning_rate": 1.2078239608801957e-05, + "loss": 0.9934, + "step": 1729 + }, + { + "epoch": 0.45, + "learning_rate": 1.2085225288159275e-05, + "loss": 1.0857, + "step": 1730 + }, + { + "epoch": 0.45, + "learning_rate": 1.209221096751659e-05, + "loss": 0.8403, + "step": 1731 + }, + { + "epoch": 0.45, + "learning_rate": 1.209919664687391e-05, + "loss": 0.8773, + "step": 1732 + }, + { + "epoch": 0.45, + "learning_rate": 1.2106182326231226e-05, + "loss": 0.8374, + "step": 1733 + }, + { + "epoch": 0.45, + "learning_rate": 1.2113168005588544e-05, + "loss": 1.0755, + "step": 1734 + }, + { + "epoch": 0.45, + "learning_rate": 1.2120153684945862e-05, + "loss": 1.0762, + "step": 1735 + }, + { + "epoch": 0.45, + "learning_rate": 1.212713936430318e-05, + "loss": 0.9919, + "step": 1736 + }, + { + "epoch": 0.46, + "learning_rate": 1.2134125043660496e-05, + "loss": 0.9924, + "step": 1737 + }, + { + "epoch": 0.46, + "learning_rate": 1.2141110723017815e-05, + "loss": 0.9421, + "step": 1738 + }, + { + "epoch": 0.46, + "learning_rate": 1.2148096402375131e-05, + "loss": 1.0615, + "step": 1739 + }, + { + "epoch": 0.46, + "learning_rate": 1.215508208173245e-05, + "loss": 1.152, + "step": 1740 + }, + { + "epoch": 0.46, + "learning_rate": 1.2162067761089767e-05, + "loss": 1.0399, + "step": 1741 + }, + { + "epoch": 0.46, + "learning_rate": 1.2169053440447085e-05, + "loss": 1.0605, + "step": 1742 + }, + { + "epoch": 0.46, + "learning_rate": 1.2176039119804401e-05, + "loss": 0.9015, + "step": 1743 + }, + { + "epoch": 0.46, + "learning_rate": 1.218302479916172e-05, + "loss": 1.0649, + "step": 1744 + }, + { + "epoch": 0.46, + "learning_rate": 1.2190010478519037e-05, + "loss": 1.0296, + "step": 1745 + }, + { + "epoch": 0.46, + "learning_rate": 1.2196996157876354e-05, + "loss": 0.9058, + "step": 1746 + }, + { + "epoch": 0.46, + "learning_rate": 1.2203981837233672e-05, + "loss": 0.9266, + "step": 1747 + }, + { + "epoch": 0.46, + "learning_rate": 1.221096751659099e-05, + "loss": 0.9423, + "step": 1748 + }, + { + "epoch": 0.46, + "learning_rate": 1.2217953195948306e-05, + "loss": 0.9674, + "step": 1749 + }, + { + "epoch": 0.46, + "learning_rate": 1.2224938875305626e-05, + "loss": 0.9865, + "step": 1750 + }, + { + "epoch": 0.46, + "learning_rate": 1.2231924554662942e-05, + "loss": 1.0922, + "step": 1751 + }, + { + "epoch": 0.46, + "learning_rate": 1.223891023402026e-05, + "loss": 1.0017, + "step": 1752 + }, + { + "epoch": 0.46, + "learning_rate": 1.2245895913377577e-05, + "loss": 1.0481, + "step": 1753 + }, + { + "epoch": 0.46, + "learning_rate": 1.2252881592734895e-05, + "loss": 0.984, + "step": 1754 + }, + { + "epoch": 0.46, + "learning_rate": 1.2259867272092211e-05, + "loss": 1.0967, + "step": 1755 + }, + { + "epoch": 0.46, + "learning_rate": 1.2266852951449531e-05, + "loss": 1.0252, + "step": 1756 + }, + { + "epoch": 0.46, + "learning_rate": 1.2273838630806847e-05, + "loss": 0.9277, + "step": 1757 + }, + { + "epoch": 0.46, + "learning_rate": 1.2280824310164165e-05, + "loss": 0.9558, + "step": 1758 + }, + { + "epoch": 0.46, + "learning_rate": 1.2287809989521483e-05, + "loss": 0.9917, + "step": 1759 + }, + { + "epoch": 0.46, + "learning_rate": 1.2294795668878799e-05, + "loss": 0.8842, + "step": 1760 + }, + { + "epoch": 0.46, + "learning_rate": 1.2301781348236117e-05, + "loss": 0.8569, + "step": 1761 + }, + { + "epoch": 0.46, + "learning_rate": 1.2308767027593433e-05, + "loss": 0.9539, + "step": 1762 + }, + { + "epoch": 0.46, + "learning_rate": 1.2315752706950752e-05, + "loss": 1.0694, + "step": 1763 + }, + { + "epoch": 0.46, + "learning_rate": 1.2322738386308068e-05, + "loss": 1.029, + "step": 1764 + }, + { + "epoch": 0.46, + "learning_rate": 1.2329724065665388e-05, + "loss": 0.9311, + "step": 1765 + }, + { + "epoch": 0.46, + "learning_rate": 1.2336709745022704e-05, + "loss": 1.1165, + "step": 1766 + }, + { + "epoch": 0.46, + "learning_rate": 1.2343695424380022e-05, + "loss": 0.9167, + "step": 1767 + }, + { + "epoch": 0.46, + "learning_rate": 1.2350681103737338e-05, + "loss": 1.0697, + "step": 1768 + }, + { + "epoch": 0.46, + "learning_rate": 1.2357666783094657e-05, + "loss": 1.0626, + "step": 1769 + }, + { + "epoch": 0.46, + "learning_rate": 1.2364652462451973e-05, + "loss": 1.0554, + "step": 1770 + }, + { + "epoch": 0.46, + "learning_rate": 1.2371638141809293e-05, + "loss": 1.0579, + "step": 1771 + }, + { + "epoch": 0.46, + "learning_rate": 1.2378623821166609e-05, + "loss": 1.0021, + "step": 1772 + }, + { + "epoch": 0.46, + "learning_rate": 1.2385609500523927e-05, + "loss": 1.0229, + "step": 1773 + }, + { + "epoch": 0.46, + "learning_rate": 1.2392595179881243e-05, + "loss": 1.0207, + "step": 1774 + }, + { + "epoch": 0.46, + "learning_rate": 1.2399580859238563e-05, + "loss": 0.956, + "step": 1775 + }, + { + "epoch": 0.47, + "learning_rate": 1.2406566538595879e-05, + "loss": 1.1538, + "step": 1776 + }, + { + "epoch": 0.47, + "learning_rate": 1.2413552217953198e-05, + "loss": 1.0681, + "step": 1777 + }, + { + "epoch": 0.47, + "learning_rate": 1.2420537897310514e-05, + "loss": 1.0392, + "step": 1778 + }, + { + "epoch": 0.47, + "learning_rate": 1.2427523576667832e-05, + "loss": 0.8126, + "step": 1779 + }, + { + "epoch": 0.47, + "learning_rate": 1.2434509256025148e-05, + "loss": 1.0304, + "step": 1780 + }, + { + "epoch": 0.47, + "learning_rate": 1.2441494935382468e-05, + "loss": 0.9665, + "step": 1781 + }, + { + "epoch": 0.47, + "learning_rate": 1.2448480614739784e-05, + "loss": 0.8955, + "step": 1782 + }, + { + "epoch": 0.47, + "learning_rate": 1.2455466294097103e-05, + "loss": 1.1409, + "step": 1783 + }, + { + "epoch": 0.47, + "learning_rate": 1.246245197345442e-05, + "loss": 0.9863, + "step": 1784 + }, + { + "epoch": 0.47, + "learning_rate": 1.2469437652811737e-05, + "loss": 1.1632, + "step": 1785 + }, + { + "epoch": 0.47, + "learning_rate": 1.2476423332169053e-05, + "loss": 0.9573, + "step": 1786 + }, + { + "epoch": 0.47, + "learning_rate": 1.2483409011526373e-05, + "loss": 1.1974, + "step": 1787 + }, + { + "epoch": 0.47, + "learning_rate": 1.2490394690883689e-05, + "loss": 0.8698, + "step": 1788 + }, + { + "epoch": 0.47, + "learning_rate": 1.2497380370241009e-05, + "loss": 1.0114, + "step": 1789 + }, + { + "epoch": 0.47, + "learning_rate": 1.2504366049598325e-05, + "loss": 0.9939, + "step": 1790 + }, + { + "epoch": 0.47, + "learning_rate": 1.2511351728955642e-05, + "loss": 0.8554, + "step": 1791 + }, + { + "epoch": 0.47, + "learning_rate": 1.2518337408312959e-05, + "loss": 0.932, + "step": 1792 + }, + { + "epoch": 0.47, + "learning_rate": 1.2525323087670278e-05, + "loss": 0.9952, + "step": 1793 + }, + { + "epoch": 0.47, + "learning_rate": 1.2532308767027594e-05, + "loss": 0.9365, + "step": 1794 + }, + { + "epoch": 0.47, + "learning_rate": 1.253929444638491e-05, + "loss": 0.9542, + "step": 1795 + }, + { + "epoch": 0.47, + "learning_rate": 1.254628012574223e-05, + "loss": 0.8327, + "step": 1796 + }, + { + "epoch": 0.47, + "learning_rate": 1.2553265805099546e-05, + "loss": 1.0, + "step": 1797 + }, + { + "epoch": 0.47, + "learning_rate": 1.2560251484456864e-05, + "loss": 1.0246, + "step": 1798 + }, + { + "epoch": 0.47, + "learning_rate": 1.2567237163814182e-05, + "loss": 0.8119, + "step": 1799 + }, + { + "epoch": 0.47, + "learning_rate": 1.25742228431715e-05, + "loss": 0.9851, + "step": 1800 + }, + { + "epoch": 0.47, + "learning_rate": 1.2581208522528816e-05, + "loss": 0.879, + "step": 1801 + }, + { + "epoch": 0.47, + "learning_rate": 1.2588194201886135e-05, + "loss": 1.1616, + "step": 1802 + }, + { + "epoch": 0.47, + "learning_rate": 1.2595179881243451e-05, + "loss": 0.9473, + "step": 1803 + }, + { + "epoch": 0.47, + "learning_rate": 1.2602165560600769e-05, + "loss": 1.2467, + "step": 1804 + }, + { + "epoch": 0.47, + "learning_rate": 1.2609151239958087e-05, + "loss": 0.9614, + "step": 1805 + }, + { + "epoch": 0.47, + "learning_rate": 1.2616136919315405e-05, + "loss": 1.0628, + "step": 1806 + }, + { + "epoch": 0.47, + "learning_rate": 1.262312259867272e-05, + "loss": 0.9146, + "step": 1807 + }, + { + "epoch": 0.47, + "learning_rate": 1.263010827803004e-05, + "loss": 0.9902, + "step": 1808 + }, + { + "epoch": 0.47, + "learning_rate": 1.2637093957387356e-05, + "loss": 0.927, + "step": 1809 + }, + { + "epoch": 0.47, + "learning_rate": 1.2644079636744676e-05, + "loss": 1.0164, + "step": 1810 + }, + { + "epoch": 0.47, + "learning_rate": 1.2651065316101992e-05, + "loss": 0.9393, + "step": 1811 + }, + { + "epoch": 0.47, + "learning_rate": 1.265805099545931e-05, + "loss": 1.1561, + "step": 1812 + }, + { + "epoch": 0.47, + "learning_rate": 1.2665036674816626e-05, + "loss": 1.0285, + "step": 1813 + }, + { + "epoch": 0.48, + "learning_rate": 1.2672022354173945e-05, + "loss": 1.0378, + "step": 1814 + }, + { + "epoch": 0.48, + "learning_rate": 1.2679008033531261e-05, + "loss": 1.0979, + "step": 1815 + }, + { + "epoch": 0.48, + "learning_rate": 1.2685993712888581e-05, + "loss": 1.077, + "step": 1816 + }, + { + "epoch": 0.48, + "learning_rate": 1.2692979392245897e-05, + "loss": 1.1119, + "step": 1817 + }, + { + "epoch": 0.48, + "learning_rate": 1.2699965071603215e-05, + "loss": 1.1158, + "step": 1818 + }, + { + "epoch": 0.48, + "learning_rate": 1.2706950750960531e-05, + "loss": 0.9184, + "step": 1819 + }, + { + "epoch": 0.48, + "learning_rate": 1.271393643031785e-05, + "loss": 0.9937, + "step": 1820 + }, + { + "epoch": 0.48, + "learning_rate": 1.2720922109675167e-05, + "loss": 1.133, + "step": 1821 + }, + { + "epoch": 0.48, + "learning_rate": 1.2727907789032486e-05, + "loss": 1.0531, + "step": 1822 + }, + { + "epoch": 0.48, + "learning_rate": 1.2734893468389802e-05, + "loss": 0.9213, + "step": 1823 + }, + { + "epoch": 0.48, + "learning_rate": 1.274187914774712e-05, + "loss": 0.951, + "step": 1824 + }, + { + "epoch": 0.48, + "learning_rate": 1.2748864827104436e-05, + "loss": 1.1019, + "step": 1825 + }, + { + "epoch": 0.48, + "learning_rate": 1.2755850506461756e-05, + "loss": 0.9136, + "step": 1826 + }, + { + "epoch": 0.48, + "learning_rate": 1.2762836185819072e-05, + "loss": 0.9535, + "step": 1827 + }, + { + "epoch": 0.48, + "learning_rate": 1.2769821865176391e-05, + "loss": 1.0383, + "step": 1828 + }, + { + "epoch": 0.48, + "learning_rate": 1.2776807544533707e-05, + "loss": 1.1178, + "step": 1829 + }, + { + "epoch": 0.48, + "learning_rate": 1.2783793223891024e-05, + "loss": 1.0637, + "step": 1830 + }, + { + "epoch": 0.48, + "learning_rate": 1.2790778903248341e-05, + "loss": 1.0042, + "step": 1831 + }, + { + "epoch": 0.48, + "learning_rate": 1.279776458260566e-05, + "loss": 1.022, + "step": 1832 + }, + { + "epoch": 0.48, + "learning_rate": 1.2804750261962977e-05, + "loss": 1.0014, + "step": 1833 + }, + { + "epoch": 0.48, + "learning_rate": 1.2811735941320293e-05, + "loss": 0.8859, + "step": 1834 + }, + { + "epoch": 0.48, + "learning_rate": 1.2818721620677613e-05, + "loss": 1.0973, + "step": 1835 + }, + { + "epoch": 0.48, + "learning_rate": 1.2825707300034929e-05, + "loss": 0.884, + "step": 1836 + }, + { + "epoch": 0.48, + "learning_rate": 1.2832692979392247e-05, + "loss": 0.87, + "step": 1837 + }, + { + "epoch": 0.48, + "learning_rate": 1.2839678658749564e-05, + "loss": 0.9807, + "step": 1838 + }, + { + "epoch": 0.48, + "learning_rate": 1.2846664338106882e-05, + "loss": 0.9611, + "step": 1839 + }, + { + "epoch": 0.48, + "learning_rate": 1.2853650017464198e-05, + "loss": 0.913, + "step": 1840 + }, + { + "epoch": 0.48, + "learning_rate": 1.2860635696821518e-05, + "loss": 1.0382, + "step": 1841 + }, + { + "epoch": 0.48, + "learning_rate": 1.2867621376178834e-05, + "loss": 1.0124, + "step": 1842 + }, + { + "epoch": 0.48, + "learning_rate": 1.2874607055536152e-05, + "loss": 0.7551, + "step": 1843 + }, + { + "epoch": 0.48, + "learning_rate": 1.288159273489347e-05, + "loss": 0.8788, + "step": 1844 + }, + { + "epoch": 0.48, + "learning_rate": 1.2888578414250787e-05, + "loss": 1.1806, + "step": 1845 + }, + { + "epoch": 0.48, + "learning_rate": 1.2895564093608103e-05, + "loss": 1.1318, + "step": 1846 + }, + { + "epoch": 0.48, + "learning_rate": 1.2902549772965423e-05, + "loss": 0.9722, + "step": 1847 + }, + { + "epoch": 0.48, + "learning_rate": 1.2909535452322739e-05, + "loss": 0.9693, + "step": 1848 + }, + { + "epoch": 0.48, + "learning_rate": 1.2916521131680057e-05, + "loss": 1.0693, + "step": 1849 + }, + { + "epoch": 0.48, + "learning_rate": 1.2923506811037375e-05, + "loss": 0.9471, + "step": 1850 + }, + { + "epoch": 0.48, + "learning_rate": 1.2930492490394693e-05, + "loss": 0.877, + "step": 1851 + }, + { + "epoch": 0.49, + "learning_rate": 1.2937478169752009e-05, + "loss": 1.2471, + "step": 1852 + }, + { + "epoch": 0.49, + "learning_rate": 1.2944463849109328e-05, + "loss": 0.9482, + "step": 1853 + }, + { + "epoch": 0.49, + "learning_rate": 1.2951449528466644e-05, + "loss": 1.0007, + "step": 1854 + }, + { + "epoch": 0.49, + "learning_rate": 1.2958435207823962e-05, + "loss": 1.0593, + "step": 1855 + }, + { + "epoch": 0.49, + "learning_rate": 1.296542088718128e-05, + "loss": 1.109, + "step": 1856 + }, + { + "epoch": 0.49, + "learning_rate": 1.2972406566538598e-05, + "loss": 1.0252, + "step": 1857 + }, + { + "epoch": 0.49, + "learning_rate": 1.2979392245895914e-05, + "loss": 0.9803, + "step": 1858 + }, + { + "epoch": 0.49, + "learning_rate": 1.2986377925253233e-05, + "loss": 0.8407, + "step": 1859 + }, + { + "epoch": 0.49, + "learning_rate": 1.299336360461055e-05, + "loss": 1.0107, + "step": 1860 + }, + { + "epoch": 0.49, + "learning_rate": 1.3000349283967867e-05, + "loss": 0.9062, + "step": 1861 + }, + { + "epoch": 0.49, + "learning_rate": 1.3007334963325185e-05, + "loss": 0.9486, + "step": 1862 + }, + { + "epoch": 0.49, + "learning_rate": 1.3014320642682501e-05, + "loss": 1.1293, + "step": 1863 + }, + { + "epoch": 0.49, + "learning_rate": 1.3021306322039819e-05, + "loss": 0.9828, + "step": 1864 + }, + { + "epoch": 0.49, + "learning_rate": 1.3028292001397135e-05, + "loss": 0.7753, + "step": 1865 + }, + { + "epoch": 0.49, + "learning_rate": 1.3035277680754455e-05, + "loss": 0.8831, + "step": 1866 + }, + { + "epoch": 0.49, + "learning_rate": 1.304226336011177e-05, + "loss": 1.132, + "step": 1867 + }, + { + "epoch": 0.49, + "learning_rate": 1.304924903946909e-05, + "loss": 0.932, + "step": 1868 + }, + { + "epoch": 0.49, + "learning_rate": 1.3056234718826406e-05, + "loss": 1.023, + "step": 1869 + }, + { + "epoch": 0.49, + "learning_rate": 1.3063220398183724e-05, + "loss": 1.1083, + "step": 1870 + }, + { + "epoch": 0.49, + "learning_rate": 1.307020607754104e-05, + "loss": 1.1702, + "step": 1871 + }, + { + "epoch": 0.49, + "learning_rate": 1.307719175689836e-05, + "loss": 1.0056, + "step": 1872 + }, + { + "epoch": 0.49, + "learning_rate": 1.3084177436255676e-05, + "loss": 0.9907, + "step": 1873 + }, + { + "epoch": 0.49, + "learning_rate": 1.3091163115612995e-05, + "loss": 0.9508, + "step": 1874 + }, + { + "epoch": 0.49, + "learning_rate": 1.3098148794970312e-05, + "loss": 1.1291, + "step": 1875 + }, + { + "epoch": 0.49, + "learning_rate": 1.310513447432763e-05, + "loss": 0.9355, + "step": 1876 + }, + { + "epoch": 0.49, + "learning_rate": 1.3112120153684946e-05, + "loss": 1.0655, + "step": 1877 + }, + { + "epoch": 0.49, + "learning_rate": 1.3119105833042265e-05, + "loss": 0.9892, + "step": 1878 + }, + { + "epoch": 0.49, + "learning_rate": 1.3126091512399581e-05, + "loss": 1.0874, + "step": 1879 + }, + { + "epoch": 0.49, + "learning_rate": 1.31330771917569e-05, + "loss": 0.9841, + "step": 1880 + }, + { + "epoch": 0.49, + "learning_rate": 1.3140062871114217e-05, + "loss": 0.9561, + "step": 1881 + }, + { + "epoch": 0.49, + "learning_rate": 1.3147048550471535e-05, + "loss": 0.9849, + "step": 1882 + }, + { + "epoch": 0.49, + "learning_rate": 1.315403422982885e-05, + "loss": 1.1744, + "step": 1883 + }, + { + "epoch": 0.49, + "learning_rate": 1.316101990918617e-05, + "loss": 0.9358, + "step": 1884 + }, + { + "epoch": 0.49, + "learning_rate": 1.3168005588543486e-05, + "loss": 0.9476, + "step": 1885 + }, + { + "epoch": 0.49, + "learning_rate": 1.3174991267900806e-05, + "loss": 1.037, + "step": 1886 + }, + { + "epoch": 0.49, + "learning_rate": 1.3181976947258122e-05, + "loss": 1.1312, + "step": 1887 + }, + { + "epoch": 0.49, + "learning_rate": 1.318896262661544e-05, + "loss": 0.9369, + "step": 1888 + }, + { + "epoch": 0.49, + "learning_rate": 1.3195948305972756e-05, + "loss": 0.8973, + "step": 1889 + }, + { + "epoch": 0.5, + "learning_rate": 1.3202933985330075e-05, + "loss": 0.9864, + "step": 1890 + }, + { + "epoch": 0.5, + "learning_rate": 1.3209919664687391e-05, + "loss": 1.1475, + "step": 1891 + }, + { + "epoch": 0.5, + "learning_rate": 1.3216905344044711e-05, + "loss": 1.1853, + "step": 1892 + }, + { + "epoch": 0.5, + "learning_rate": 1.3223891023402027e-05, + "loss": 1.0106, + "step": 1893 + }, + { + "epoch": 0.5, + "learning_rate": 1.3230876702759345e-05, + "loss": 0.9312, + "step": 1894 + }, + { + "epoch": 0.5, + "learning_rate": 1.3237862382116661e-05, + "loss": 0.9994, + "step": 1895 + }, + { + "epoch": 0.5, + "learning_rate": 1.324484806147398e-05, + "loss": 0.9966, + "step": 1896 + }, + { + "epoch": 0.5, + "learning_rate": 1.3251833740831297e-05, + "loss": 0.9211, + "step": 1897 + }, + { + "epoch": 0.5, + "learning_rate": 1.3258819420188613e-05, + "loss": 0.828, + "step": 1898 + }, + { + "epoch": 0.5, + "learning_rate": 1.3265805099545932e-05, + "loss": 0.9892, + "step": 1899 + }, + { + "epoch": 0.5, + "learning_rate": 1.3272790778903248e-05, + "loss": 0.9314, + "step": 1900 + }, + { + "epoch": 0.5, + "learning_rate": 1.3279776458260566e-05, + "loss": 0.8668, + "step": 1901 + }, + { + "epoch": 0.5, + "learning_rate": 1.3286762137617884e-05, + "loss": 0.9788, + "step": 1902 + }, + { + "epoch": 0.5, + "learning_rate": 1.3293747816975202e-05, + "loss": 1.2685, + "step": 1903 + }, + { + "epoch": 0.5, + "learning_rate": 1.3300733496332518e-05, + "loss": 0.9859, + "step": 1904 + }, + { + "epoch": 0.5, + "learning_rate": 1.3307719175689837e-05, + "loss": 0.8621, + "step": 1905 + }, + { + "epoch": 0.5, + "learning_rate": 1.3314704855047154e-05, + "loss": 0.9502, + "step": 1906 + }, + { + "epoch": 0.5, + "learning_rate": 1.3321690534404471e-05, + "loss": 1.1123, + "step": 1907 + }, + { + "epoch": 0.5, + "learning_rate": 1.332867621376179e-05, + "loss": 0.9382, + "step": 1908 + }, + { + "epoch": 0.5, + "learning_rate": 1.3335661893119107e-05, + "loss": 0.9141, + "step": 1909 + }, + { + "epoch": 0.5, + "learning_rate": 1.3342647572476423e-05, + "loss": 1.0648, + "step": 1910 + }, + { + "epoch": 0.5, + "learning_rate": 1.3349633251833743e-05, + "loss": 0.795, + "step": 1911 + }, + { + "epoch": 0.5, + "learning_rate": 1.3356618931191059e-05, + "loss": 1.0119, + "step": 1912 + }, + { + "epoch": 0.5, + "learning_rate": 1.3363604610548378e-05, + "loss": 0.9578, + "step": 1913 + }, + { + "epoch": 0.5, + "learning_rate": 1.3370590289905694e-05, + "loss": 0.8244, + "step": 1914 + }, + { + "epoch": 0.5, + "learning_rate": 1.3377575969263012e-05, + "loss": 1.0499, + "step": 1915 + }, + { + "epoch": 0.5, + "learning_rate": 1.3384561648620328e-05, + "loss": 0.9045, + "step": 1916 + }, + { + "epoch": 0.5, + "learning_rate": 1.3391547327977648e-05, + "loss": 1.0938, + "step": 1917 + }, + { + "epoch": 0.5, + "learning_rate": 1.3398533007334964e-05, + "loss": 0.9677, + "step": 1918 + }, + { + "epoch": 0.5, + "learning_rate": 1.3405518686692283e-05, + "loss": 1.0079, + "step": 1919 + }, + { + "epoch": 0.5, + "learning_rate": 1.34125043660496e-05, + "loss": 1.1218, + "step": 1920 + }, + { + "epoch": 0.5, + "learning_rate": 1.3419490045406917e-05, + "loss": 0.9935, + "step": 1921 + }, + { + "epoch": 0.5, + "learning_rate": 1.3426475724764234e-05, + "loss": 0.858, + "step": 1922 + }, + { + "epoch": 0.5, + "learning_rate": 1.3433461404121553e-05, + "loss": 1.012, + "step": 1923 + }, + { + "epoch": 0.5, + "learning_rate": 1.3440447083478869e-05, + "loss": 0.9148, + "step": 1924 + }, + { + "epoch": 0.5, + "learning_rate": 1.3447432762836189e-05, + "loss": 1.0259, + "step": 1925 + }, + { + "epoch": 0.5, + "learning_rate": 1.3454418442193505e-05, + "loss": 1.102, + "step": 1926 + }, + { + "epoch": 0.5, + "learning_rate": 1.3461404121550823e-05, + "loss": 1.1035, + "step": 1927 + }, + { + "epoch": 0.51, + "learning_rate": 1.3468389800908139e-05, + "loss": 1.1308, + "step": 1928 + }, + { + "epoch": 0.51, + "learning_rate": 1.3475375480265458e-05, + "loss": 0.9161, + "step": 1929 + }, + { + "epoch": 0.51, + "learning_rate": 1.3482361159622774e-05, + "loss": 1.0974, + "step": 1930 + }, + { + "epoch": 0.51, + "learning_rate": 1.3489346838980094e-05, + "loss": 0.9657, + "step": 1931 + }, + { + "epoch": 0.51, + "learning_rate": 1.349633251833741e-05, + "loss": 0.9867, + "step": 1932 + }, + { + "epoch": 0.51, + "learning_rate": 1.3503318197694726e-05, + "loss": 0.8825, + "step": 1933 + }, + { + "epoch": 0.51, + "learning_rate": 1.3510303877052044e-05, + "loss": 1.083, + "step": 1934 + }, + { + "epoch": 0.51, + "learning_rate": 1.3517289556409362e-05, + "loss": 1.0107, + "step": 1935 + }, + { + "epoch": 0.51, + "learning_rate": 1.352427523576668e-05, + "loss": 0.841, + "step": 1936 + }, + { + "epoch": 0.51, + "learning_rate": 1.3531260915123996e-05, + "loss": 0.7762, + "step": 1937 + }, + { + "epoch": 0.51, + "learning_rate": 1.3538246594481315e-05, + "loss": 0.9161, + "step": 1938 + }, + { + "epoch": 0.51, + "learning_rate": 1.3545232273838631e-05, + "loss": 1.0341, + "step": 1939 + }, + { + "epoch": 0.51, + "learning_rate": 1.3552217953195949e-05, + "loss": 0.9411, + "step": 1940 + }, + { + "epoch": 0.51, + "learning_rate": 1.3559203632553267e-05, + "loss": 1.0295, + "step": 1941 + }, + { + "epoch": 0.51, + "learning_rate": 1.3566189311910585e-05, + "loss": 0.9683, + "step": 1942 + }, + { + "epoch": 0.51, + "learning_rate": 1.35731749912679e-05, + "loss": 1.0734, + "step": 1943 + }, + { + "epoch": 0.51, + "learning_rate": 1.358016067062522e-05, + "loss": 0.9305, + "step": 1944 + }, + { + "epoch": 0.51, + "learning_rate": 1.3587146349982536e-05, + "loss": 1.0578, + "step": 1945 + }, + { + "epoch": 0.51, + "learning_rate": 1.3594132029339854e-05, + "loss": 0.9491, + "step": 1946 + }, + { + "epoch": 0.51, + "learning_rate": 1.3601117708697172e-05, + "loss": 0.9039, + "step": 1947 + }, + { + "epoch": 0.51, + "learning_rate": 1.360810338805449e-05, + "loss": 1.0064, + "step": 1948 + }, + { + "epoch": 0.51, + "learning_rate": 1.3615089067411806e-05, + "loss": 0.8726, + "step": 1949 + }, + { + "epoch": 0.51, + "learning_rate": 1.3622074746769125e-05, + "loss": 1.0858, + "step": 1950 + }, + { + "epoch": 0.51, + "learning_rate": 1.3629060426126442e-05, + "loss": 1.0694, + "step": 1951 + }, + { + "epoch": 0.51, + "learning_rate": 1.363604610548376e-05, + "loss": 0.9084, + "step": 1952 + }, + { + "epoch": 0.51, + "learning_rate": 1.3643031784841077e-05, + "loss": 0.8934, + "step": 1953 + }, + { + "epoch": 0.51, + "learning_rate": 1.3650017464198395e-05, + "loss": 1.0208, + "step": 1954 + }, + { + "epoch": 0.51, + "learning_rate": 1.3657003143555711e-05, + "loss": 0.7647, + "step": 1955 + }, + { + "epoch": 0.51, + "learning_rate": 1.366398882291303e-05, + "loss": 0.8775, + "step": 1956 + }, + { + "epoch": 0.51, + "learning_rate": 1.3670974502270347e-05, + "loss": 0.9784, + "step": 1957 + }, + { + "epoch": 0.51, + "learning_rate": 1.3677960181627665e-05, + "loss": 1.224, + "step": 1958 + }, + { + "epoch": 0.51, + "learning_rate": 1.3684945860984982e-05, + "loss": 0.9599, + "step": 1959 + }, + { + "epoch": 0.51, + "learning_rate": 1.36919315403423e-05, + "loss": 1.0296, + "step": 1960 + }, + { + "epoch": 0.51, + "learning_rate": 1.3698917219699616e-05, + "loss": 0.9326, + "step": 1961 + }, + { + "epoch": 0.51, + "learning_rate": 1.3705902899056936e-05, + "loss": 1.1234, + "step": 1962 + }, + { + "epoch": 0.51, + "learning_rate": 1.3712888578414252e-05, + "loss": 1.013, + "step": 1963 + }, + { + "epoch": 0.51, + "learning_rate": 1.371987425777157e-05, + "loss": 0.7232, + "step": 1964 + }, + { + "epoch": 0.51, + "learning_rate": 1.3726859937128888e-05, + "loss": 0.7965, + "step": 1965 + }, + { + "epoch": 0.51, + "learning_rate": 1.3733845616486205e-05, + "loss": 0.8808, + "step": 1966 + }, + { + "epoch": 0.52, + "learning_rate": 1.3740831295843521e-05, + "loss": 1.1448, + "step": 1967 + }, + { + "epoch": 0.52, + "learning_rate": 1.3747816975200838e-05, + "loss": 1.0642, + "step": 1968 + }, + { + "epoch": 0.52, + "learning_rate": 1.3754802654558157e-05, + "loss": 1.4013, + "step": 1969 + }, + { + "epoch": 0.52, + "learning_rate": 1.3761788333915473e-05, + "loss": 1.0885, + "step": 1970 + }, + { + "epoch": 0.52, + "learning_rate": 1.3768774013272793e-05, + "loss": 0.9373, + "step": 1971 + }, + { + "epoch": 0.52, + "learning_rate": 1.3775759692630109e-05, + "loss": 0.9862, + "step": 1972 + }, + { + "epoch": 0.52, + "learning_rate": 1.3782745371987427e-05, + "loss": 0.9734, + "step": 1973 + }, + { + "epoch": 0.52, + "learning_rate": 1.3789731051344743e-05, + "loss": 1.1843, + "step": 1974 + }, + { + "epoch": 0.52, + "learning_rate": 1.3796716730702062e-05, + "loss": 1.0321, + "step": 1975 + }, + { + "epoch": 0.52, + "learning_rate": 1.3803702410059378e-05, + "loss": 0.916, + "step": 1976 + }, + { + "epoch": 0.52, + "learning_rate": 1.3810688089416698e-05, + "loss": 1.125, + "step": 1977 + }, + { + "epoch": 0.52, + "learning_rate": 1.3817673768774014e-05, + "loss": 0.9165, + "step": 1978 + }, + { + "epoch": 0.52, + "learning_rate": 1.3824659448131332e-05, + "loss": 1.1786, + "step": 1979 + }, + { + "epoch": 0.52, + "learning_rate": 1.3831645127488648e-05, + "loss": 0.9729, + "step": 1980 + }, + { + "epoch": 0.52, + "learning_rate": 1.3838630806845967e-05, + "loss": 0.9777, + "step": 1981 + }, + { + "epoch": 0.52, + "learning_rate": 1.3845616486203284e-05, + "loss": 0.9148, + "step": 1982 + }, + { + "epoch": 0.52, + "learning_rate": 1.3852602165560603e-05, + "loss": 0.8159, + "step": 1983 + }, + { + "epoch": 0.52, + "learning_rate": 1.385958784491792e-05, + "loss": 1.0576, + "step": 1984 + }, + { + "epoch": 0.52, + "learning_rate": 1.3866573524275237e-05, + "loss": 1.0464, + "step": 1985 + }, + { + "epoch": 0.52, + "learning_rate": 1.3873559203632553e-05, + "loss": 0.9295, + "step": 1986 + }, + { + "epoch": 0.52, + "learning_rate": 1.3880544882989873e-05, + "loss": 0.8609, + "step": 1987 + }, + { + "epoch": 0.52, + "learning_rate": 1.3887530562347189e-05, + "loss": 0.9368, + "step": 1988 + }, + { + "epoch": 0.52, + "learning_rate": 1.3894516241704508e-05, + "loss": 1.1466, + "step": 1989 + }, + { + "epoch": 0.52, + "learning_rate": 1.3901501921061824e-05, + "loss": 0.878, + "step": 1990 + }, + { + "epoch": 0.52, + "learning_rate": 1.3908487600419142e-05, + "loss": 1.0344, + "step": 1991 + }, + { + "epoch": 0.52, + "learning_rate": 1.3915473279776458e-05, + "loss": 0.9835, + "step": 1992 + }, + { + "epoch": 0.52, + "learning_rate": 1.3922458959133778e-05, + "loss": 1.0778, + "step": 1993 + }, + { + "epoch": 0.52, + "learning_rate": 1.3929444638491094e-05, + "loss": 0.9282, + "step": 1994 + }, + { + "epoch": 0.52, + "learning_rate": 1.3936430317848413e-05, + "loss": 1.0273, + "step": 1995 + }, + { + "epoch": 0.52, + "learning_rate": 1.394341599720573e-05, + "loss": 0.9169, + "step": 1996 + }, + { + "epoch": 0.52, + "learning_rate": 1.3950401676563047e-05, + "loss": 0.8015, + "step": 1997 + }, + { + "epoch": 0.52, + "learning_rate": 1.3957387355920364e-05, + "loss": 0.924, + "step": 1998 + }, + { + "epoch": 0.52, + "learning_rate": 1.3964373035277683e-05, + "loss": 1.135, + "step": 1999 + }, + { + "epoch": 0.52, + "learning_rate": 1.3971358714634999e-05, + "loss": 0.9837, + "step": 2000 + }, + { + "epoch": 0.52, + "learning_rate": 1.3978344393992315e-05, + "loss": 0.9969, + "step": 2001 + }, + { + "epoch": 0.52, + "learning_rate": 1.3985330073349635e-05, + "loss": 0.8542, + "step": 2002 + }, + { + "epoch": 0.52, + "learning_rate": 1.3992315752706951e-05, + "loss": 1.0389, + "step": 2003 + }, + { + "epoch": 0.52, + "learning_rate": 1.3999301432064269e-05, + "loss": 0.9954, + "step": 2004 + }, + { + "epoch": 0.53, + "learning_rate": 1.4006287111421586e-05, + "loss": 0.8848, + "step": 2005 + }, + { + "epoch": 0.53, + "learning_rate": 1.4013272790778904e-05, + "loss": 0.8941, + "step": 2006 + }, + { + "epoch": 0.53, + "learning_rate": 1.402025847013622e-05, + "loss": 0.8736, + "step": 2007 + }, + { + "epoch": 0.53, + "learning_rate": 1.402724414949354e-05, + "loss": 1.0014, + "step": 2008 + }, + { + "epoch": 0.53, + "learning_rate": 1.4034229828850856e-05, + "loss": 0.979, + "step": 2009 + }, + { + "epoch": 0.53, + "learning_rate": 1.4041215508208174e-05, + "loss": 0.9609, + "step": 2010 + }, + { + "epoch": 0.53, + "learning_rate": 1.4048201187565492e-05, + "loss": 0.9723, + "step": 2011 + }, + { + "epoch": 0.53, + "learning_rate": 1.405518686692281e-05, + "loss": 0.9558, + "step": 2012 + }, + { + "epoch": 0.53, + "learning_rate": 1.4062172546280126e-05, + "loss": 1.0293, + "step": 2013 + }, + { + "epoch": 0.53, + "learning_rate": 1.4069158225637445e-05, + "loss": 1.0784, + "step": 2014 + }, + { + "epoch": 0.53, + "learning_rate": 1.4076143904994761e-05, + "loss": 1.034, + "step": 2015 + }, + { + "epoch": 0.53, + "learning_rate": 1.4083129584352079e-05, + "loss": 1.1925, + "step": 2016 + }, + { + "epoch": 0.53, + "learning_rate": 1.4090115263709397e-05, + "loss": 0.89, + "step": 2017 + }, + { + "epoch": 0.53, + "learning_rate": 1.4097100943066715e-05, + "loss": 0.8457, + "step": 2018 + }, + { + "epoch": 0.53, + "learning_rate": 1.410408662242403e-05, + "loss": 0.9714, + "step": 2019 + }, + { + "epoch": 0.53, + "learning_rate": 1.411107230178135e-05, + "loss": 0.8754, + "step": 2020 + }, + { + "epoch": 0.53, + "learning_rate": 1.4118057981138666e-05, + "loss": 0.9813, + "step": 2021 + }, + { + "epoch": 0.53, + "learning_rate": 1.4125043660495986e-05, + "loss": 0.9284, + "step": 2022 + }, + { + "epoch": 0.53, + "learning_rate": 1.4132029339853302e-05, + "loss": 0.9669, + "step": 2023 + }, + { + "epoch": 0.53, + "learning_rate": 1.413901501921062e-05, + "loss": 1.0317, + "step": 2024 + }, + { + "epoch": 0.53, + "learning_rate": 1.4146000698567936e-05, + "loss": 0.8313, + "step": 2025 + }, + { + "epoch": 0.53, + "learning_rate": 1.4152986377925255e-05, + "loss": 0.9864, + "step": 2026 + }, + { + "epoch": 0.53, + "learning_rate": 1.4159972057282572e-05, + "loss": 0.9057, + "step": 2027 + }, + { + "epoch": 0.53, + "learning_rate": 1.4166957736639891e-05, + "loss": 0.8452, + "step": 2028 + }, + { + "epoch": 0.53, + "learning_rate": 1.4173943415997207e-05, + "loss": 0.8752, + "step": 2029 + }, + { + "epoch": 0.53, + "learning_rate": 1.4180929095354525e-05, + "loss": 0.8199, + "step": 2030 + }, + { + "epoch": 0.53, + "learning_rate": 1.4187914774711841e-05, + "loss": 1.0703, + "step": 2031 + }, + { + "epoch": 0.53, + "learning_rate": 1.419490045406916e-05, + "loss": 0.8967, + "step": 2032 + }, + { + "epoch": 0.53, + "learning_rate": 1.4201886133426477e-05, + "loss": 1.1318, + "step": 2033 + }, + { + "epoch": 0.53, + "learning_rate": 1.4208871812783796e-05, + "loss": 1.0681, + "step": 2034 + }, + { + "epoch": 0.53, + "learning_rate": 1.4215857492141112e-05, + "loss": 0.9702, + "step": 2035 + }, + { + "epoch": 0.53, + "learning_rate": 1.4222843171498429e-05, + "loss": 0.999, + "step": 2036 + }, + { + "epoch": 0.53, + "learning_rate": 1.4229828850855746e-05, + "loss": 1.0696, + "step": 2037 + }, + { + "epoch": 0.53, + "learning_rate": 1.4236814530213064e-05, + "loss": 1.0397, + "step": 2038 + }, + { + "epoch": 0.53, + "learning_rate": 1.4243800209570382e-05, + "loss": 0.9558, + "step": 2039 + }, + { + "epoch": 0.53, + "learning_rate": 1.4250785888927698e-05, + "loss": 0.9222, + "step": 2040 + }, + { + "epoch": 0.53, + "learning_rate": 1.4257771568285018e-05, + "loss": 1.1268, + "step": 2041 + }, + { + "epoch": 0.53, + "learning_rate": 1.4264757247642334e-05, + "loss": 1.0373, + "step": 2042 + }, + { + "epoch": 0.54, + "learning_rate": 1.4271742926999652e-05, + "loss": 1.0148, + "step": 2043 + }, + { + "epoch": 0.54, + "learning_rate": 1.427872860635697e-05, + "loss": 1.1985, + "step": 2044 + }, + { + "epoch": 0.54, + "learning_rate": 1.4285714285714287e-05, + "loss": 1.0749, + "step": 2045 + }, + { + "epoch": 0.54, + "learning_rate": 1.4292699965071603e-05, + "loss": 0.8968, + "step": 2046 + }, + { + "epoch": 0.54, + "learning_rate": 1.4299685644428923e-05, + "loss": 0.8689, + "step": 2047 + }, + { + "epoch": 0.54, + "learning_rate": 1.4306671323786239e-05, + "loss": 1.0486, + "step": 2048 + }, + { + "epoch": 0.54, + "learning_rate": 1.4313657003143557e-05, + "loss": 0.8943, + "step": 2049 + }, + { + "epoch": 0.54, + "learning_rate": 1.4320642682500874e-05, + "loss": 0.9144, + "step": 2050 + }, + { + "epoch": 0.54, + "learning_rate": 1.4327628361858192e-05, + "loss": 0.9508, + "step": 2051 + }, + { + "epoch": 0.54, + "learning_rate": 1.4334614041215508e-05, + "loss": 0.9617, + "step": 2052 + }, + { + "epoch": 0.54, + "learning_rate": 1.4341599720572828e-05, + "loss": 1.0184, + "step": 2053 + }, + { + "epoch": 0.54, + "learning_rate": 1.4348585399930144e-05, + "loss": 1.0441, + "step": 2054 + }, + { + "epoch": 0.54, + "learning_rate": 1.4355571079287462e-05, + "loss": 0.8599, + "step": 2055 + }, + { + "epoch": 0.54, + "learning_rate": 1.436255675864478e-05, + "loss": 0.9089, + "step": 2056 + }, + { + "epoch": 0.54, + "learning_rate": 1.4369542438002097e-05, + "loss": 0.9672, + "step": 2057 + }, + { + "epoch": 0.54, + "learning_rate": 1.4376528117359414e-05, + "loss": 0.9939, + "step": 2058 + }, + { + "epoch": 0.54, + "learning_rate": 1.4383513796716733e-05, + "loss": 0.9255, + "step": 2059 + }, + { + "epoch": 0.54, + "learning_rate": 1.439049947607405e-05, + "loss": 0.8739, + "step": 2060 + }, + { + "epoch": 0.54, + "learning_rate": 1.4397485155431367e-05, + "loss": 0.8469, + "step": 2061 + }, + { + "epoch": 0.54, + "learning_rate": 1.4404470834788685e-05, + "loss": 1.1228, + "step": 2062 + }, + { + "epoch": 0.54, + "learning_rate": 1.4411456514146003e-05, + "loss": 1.1902, + "step": 2063 + }, + { + "epoch": 0.54, + "learning_rate": 1.4418442193503319e-05, + "loss": 0.9889, + "step": 2064 + }, + { + "epoch": 0.54, + "learning_rate": 1.4425427872860638e-05, + "loss": 1.0055, + "step": 2065 + }, + { + "epoch": 0.54, + "learning_rate": 1.4432413552217954e-05, + "loss": 0.9034, + "step": 2066 + }, + { + "epoch": 0.54, + "learning_rate": 1.4439399231575272e-05, + "loss": 0.9601, + "step": 2067 + }, + { + "epoch": 0.54, + "learning_rate": 1.444638491093259e-05, + "loss": 1.0674, + "step": 2068 + }, + { + "epoch": 0.54, + "learning_rate": 1.4453370590289908e-05, + "loss": 1.0422, + "step": 2069 + }, + { + "epoch": 0.54, + "learning_rate": 1.4460356269647224e-05, + "loss": 0.9518, + "step": 2070 + }, + { + "epoch": 0.54, + "learning_rate": 1.446734194900454e-05, + "loss": 1.1396, + "step": 2071 + }, + { + "epoch": 0.54, + "learning_rate": 1.447432762836186e-05, + "loss": 0.842, + "step": 2072 + }, + { + "epoch": 0.54, + "learning_rate": 1.4481313307719176e-05, + "loss": 1.1409, + "step": 2073 + }, + { + "epoch": 0.54, + "learning_rate": 1.4488298987076495e-05, + "loss": 1.1957, + "step": 2074 + }, + { + "epoch": 0.54, + "learning_rate": 1.4495284666433811e-05, + "loss": 1.0312, + "step": 2075 + }, + { + "epoch": 0.54, + "learning_rate": 1.4502270345791129e-05, + "loss": 0.9234, + "step": 2076 + }, + { + "epoch": 0.54, + "learning_rate": 1.4509256025148445e-05, + "loss": 0.8946, + "step": 2077 + }, + { + "epoch": 0.54, + "learning_rate": 1.4516241704505765e-05, + "loss": 0.8513, + "step": 2078 + }, + { + "epoch": 0.54, + "learning_rate": 1.4523227383863081e-05, + "loss": 1.0337, + "step": 2079 + }, + { + "epoch": 0.54, + "learning_rate": 1.45302130632204e-05, + "loss": 0.885, + "step": 2080 + }, + { + "epoch": 0.55, + "learning_rate": 1.4537198742577717e-05, + "loss": 1.027, + "step": 2081 + }, + { + "epoch": 0.55, + "learning_rate": 1.4544184421935034e-05, + "loss": 0.9763, + "step": 2082 + }, + { + "epoch": 0.55, + "learning_rate": 1.455117010129235e-05, + "loss": 1.0716, + "step": 2083 + }, + { + "epoch": 0.55, + "learning_rate": 1.455815578064967e-05, + "loss": 0.9305, + "step": 2084 + }, + { + "epoch": 0.55, + "learning_rate": 1.4565141460006986e-05, + "loss": 1.1248, + "step": 2085 + }, + { + "epoch": 0.55, + "learning_rate": 1.4572127139364306e-05, + "loss": 0.9423, + "step": 2086 + }, + { + "epoch": 0.55, + "learning_rate": 1.4579112818721622e-05, + "loss": 0.9544, + "step": 2087 + }, + { + "epoch": 0.55, + "learning_rate": 1.458609849807894e-05, + "loss": 0.905, + "step": 2088 + }, + { + "epoch": 0.55, + "learning_rate": 1.4593084177436256e-05, + "loss": 0.866, + "step": 2089 + }, + { + "epoch": 0.55, + "learning_rate": 1.4600069856793575e-05, + "loss": 0.8257, + "step": 2090 + }, + { + "epoch": 0.55, + "learning_rate": 1.4607055536150891e-05, + "loss": 0.9341, + "step": 2091 + }, + { + "epoch": 0.55, + "learning_rate": 1.461404121550821e-05, + "loss": 1.1985, + "step": 2092 + }, + { + "epoch": 0.55, + "learning_rate": 1.4621026894865527e-05, + "loss": 0.9968, + "step": 2093 + }, + { + "epoch": 0.55, + "learning_rate": 1.4628012574222845e-05, + "loss": 1.0903, + "step": 2094 + }, + { + "epoch": 0.55, + "learning_rate": 1.463499825358016e-05, + "loss": 0.8995, + "step": 2095 + }, + { + "epoch": 0.55, + "learning_rate": 1.464198393293748e-05, + "loss": 0.7981, + "step": 2096 + }, + { + "epoch": 0.55, + "learning_rate": 1.4648969612294796e-05, + "loss": 0.879, + "step": 2097 + }, + { + "epoch": 0.55, + "learning_rate": 1.4655955291652116e-05, + "loss": 0.9336, + "step": 2098 + }, + { + "epoch": 0.55, + "learning_rate": 1.4662940971009432e-05, + "loss": 0.8542, + "step": 2099 + }, + { + "epoch": 0.55, + "learning_rate": 1.466992665036675e-05, + "loss": 1.0579, + "step": 2100 + }, + { + "epoch": 0.55, + "learning_rate": 1.4676912329724066e-05, + "loss": 1.1485, + "step": 2101 + }, + { + "epoch": 0.55, + "learning_rate": 1.4683898009081385e-05, + "loss": 1.2083, + "step": 2102 + }, + { + "epoch": 0.55, + "learning_rate": 1.4690883688438702e-05, + "loss": 1.11, + "step": 2103 + }, + { + "epoch": 0.55, + "learning_rate": 1.4697869367796021e-05, + "loss": 1.0184, + "step": 2104 + }, + { + "epoch": 0.55, + "learning_rate": 1.4704855047153337e-05, + "loss": 0.9128, + "step": 2105 + }, + { + "epoch": 0.55, + "learning_rate": 1.4711840726510653e-05, + "loss": 0.8946, + "step": 2106 + }, + { + "epoch": 0.55, + "learning_rate": 1.4718826405867971e-05, + "loss": 0.8277, + "step": 2107 + }, + { + "epoch": 0.55, + "learning_rate": 1.4725812085225289e-05, + "loss": 0.8955, + "step": 2108 + }, + { + "epoch": 0.55, + "learning_rate": 1.4732797764582607e-05, + "loss": 1.1943, + "step": 2109 + }, + { + "epoch": 0.55, + "learning_rate": 1.4739783443939923e-05, + "loss": 0.9256, + "step": 2110 + }, + { + "epoch": 0.55, + "learning_rate": 1.4746769123297242e-05, + "loss": 0.9221, + "step": 2111 + }, + { + "epoch": 0.55, + "learning_rate": 1.4753754802654559e-05, + "loss": 0.8712, + "step": 2112 + }, + { + "epoch": 0.55, + "learning_rate": 1.4760740482011876e-05, + "loss": 0.9128, + "step": 2113 + }, + { + "epoch": 0.55, + "learning_rate": 1.4767726161369194e-05, + "loss": 1.1117, + "step": 2114 + }, + { + "epoch": 0.55, + "learning_rate": 1.4774711840726512e-05, + "loss": 0.9187, + "step": 2115 + }, + { + "epoch": 0.55, + "learning_rate": 1.4781697520083828e-05, + "loss": 1.2087, + "step": 2116 + }, + { + "epoch": 0.55, + "learning_rate": 1.4788683199441148e-05, + "loss": 0.9684, + "step": 2117 + }, + { + "epoch": 0.55, + "learning_rate": 1.4795668878798464e-05, + "loss": 0.9231, + "step": 2118 + }, + { + "epoch": 0.56, + "learning_rate": 1.4802654558155782e-05, + "loss": 0.9238, + "step": 2119 + }, + { + "epoch": 0.56, + "learning_rate": 1.48096402375131e-05, + "loss": 0.9337, + "step": 2120 + }, + { + "epoch": 0.56, + "learning_rate": 1.4816625916870417e-05, + "loss": 1.0465, + "step": 2121 + }, + { + "epoch": 0.56, + "learning_rate": 1.4823611596227733e-05, + "loss": 0.8199, + "step": 2122 + }, + { + "epoch": 0.56, + "learning_rate": 1.4830597275585053e-05, + "loss": 1.2414, + "step": 2123 + }, + { + "epoch": 0.56, + "learning_rate": 1.4837582954942369e-05, + "loss": 0.8186, + "step": 2124 + }, + { + "epoch": 0.56, + "learning_rate": 1.4844568634299687e-05, + "loss": 0.9632, + "step": 2125 + }, + { + "epoch": 0.56, + "learning_rate": 1.4851554313657004e-05, + "loss": 0.979, + "step": 2126 + }, + { + "epoch": 0.56, + "learning_rate": 1.4858539993014322e-05, + "loss": 0.9152, + "step": 2127 + }, + { + "epoch": 0.56, + "learning_rate": 1.4865525672371638e-05, + "loss": 1.0891, + "step": 2128 + }, + { + "epoch": 0.56, + "learning_rate": 1.4872511351728958e-05, + "loss": 0.8688, + "step": 2129 + }, + { + "epoch": 0.56, + "learning_rate": 1.4879497031086274e-05, + "loss": 0.899, + "step": 2130 + }, + { + "epoch": 0.56, + "learning_rate": 1.4886482710443594e-05, + "loss": 0.8952, + "step": 2131 + }, + { + "epoch": 0.56, + "learning_rate": 1.489346838980091e-05, + "loss": 0.8569, + "step": 2132 + }, + { + "epoch": 0.56, + "learning_rate": 1.4900454069158227e-05, + "loss": 1.0557, + "step": 2133 + }, + { + "epoch": 0.56, + "learning_rate": 1.4907439748515544e-05, + "loss": 1.0579, + "step": 2134 + }, + { + "epoch": 0.56, + "learning_rate": 1.4914425427872863e-05, + "loss": 1.0294, + "step": 2135 + }, + { + "epoch": 0.56, + "learning_rate": 1.492141110723018e-05, + "loss": 0.9976, + "step": 2136 + }, + { + "epoch": 0.56, + "learning_rate": 1.4928396786587499e-05, + "loss": 0.9712, + "step": 2137 + }, + { + "epoch": 0.56, + "learning_rate": 1.4935382465944815e-05, + "loss": 0.8307, + "step": 2138 + }, + { + "epoch": 0.56, + "learning_rate": 1.4942368145302131e-05, + "loss": 0.8014, + "step": 2139 + }, + { + "epoch": 0.56, + "learning_rate": 1.4949353824659449e-05, + "loss": 1.0643, + "step": 2140 + }, + { + "epoch": 0.56, + "learning_rate": 1.4956339504016767e-05, + "loss": 1.0043, + "step": 2141 + }, + { + "epoch": 0.56, + "learning_rate": 1.4963325183374084e-05, + "loss": 1.0577, + "step": 2142 + }, + { + "epoch": 0.56, + "learning_rate": 1.49703108627314e-05, + "loss": 0.8675, + "step": 2143 + }, + { + "epoch": 0.56, + "learning_rate": 1.497729654208872e-05, + "loss": 1.1369, + "step": 2144 + }, + { + "epoch": 0.56, + "learning_rate": 1.4984282221446036e-05, + "loss": 0.8572, + "step": 2145 + }, + { + "epoch": 0.56, + "learning_rate": 1.4991267900803354e-05, + "loss": 1.1583, + "step": 2146 + }, + { + "epoch": 0.56, + "learning_rate": 1.4998253580160672e-05, + "loss": 1.0841, + "step": 2147 + }, + { + "epoch": 0.56, + "learning_rate": 1.500523925951799e-05, + "loss": 0.9588, + "step": 2148 + }, + { + "epoch": 0.56, + "learning_rate": 1.5012224938875306e-05, + "loss": 1.1178, + "step": 2149 + }, + { + "epoch": 0.56, + "learning_rate": 1.5019210618232625e-05, + "loss": 0.8983, + "step": 2150 + }, + { + "epoch": 0.56, + "learning_rate": 1.5026196297589941e-05, + "loss": 0.8855, + "step": 2151 + }, + { + "epoch": 0.56, + "learning_rate": 1.5033181976947259e-05, + "loss": 1.0041, + "step": 2152 + }, + { + "epoch": 0.56, + "learning_rate": 1.5040167656304577e-05, + "loss": 1.0097, + "step": 2153 + }, + { + "epoch": 0.56, + "learning_rate": 1.5047153335661895e-05, + "loss": 0.8864, + "step": 2154 + }, + { + "epoch": 0.56, + "learning_rate": 1.5054139015019211e-05, + "loss": 0.9101, + "step": 2155 + }, + { + "epoch": 0.56, + "learning_rate": 1.506112469437653e-05, + "loss": 1.0554, + "step": 2156 + }, + { + "epoch": 0.57, + "learning_rate": 1.5068110373733847e-05, + "loss": 1.0881, + "step": 2157 + }, + { + "epoch": 0.57, + "learning_rate": 1.5075096053091164e-05, + "loss": 1.1569, + "step": 2158 + }, + { + "epoch": 0.57, + "learning_rate": 1.5082081732448482e-05, + "loss": 0.9259, + "step": 2159 + }, + { + "epoch": 0.57, + "learning_rate": 1.50890674118058e-05, + "loss": 0.9098, + "step": 2160 + }, + { + "epoch": 0.57, + "learning_rate": 1.5096053091163116e-05, + "loss": 0.9246, + "step": 2161 + }, + { + "epoch": 0.57, + "learning_rate": 1.5103038770520436e-05, + "loss": 1.0138, + "step": 2162 + }, + { + "epoch": 0.57, + "learning_rate": 1.5110024449877752e-05, + "loss": 0.9591, + "step": 2163 + }, + { + "epoch": 0.57, + "learning_rate": 1.511701012923507e-05, + "loss": 0.8716, + "step": 2164 + }, + { + "epoch": 0.57, + "learning_rate": 1.5123995808592387e-05, + "loss": 0.9208, + "step": 2165 + }, + { + "epoch": 0.57, + "learning_rate": 1.5130981487949705e-05, + "loss": 0.9863, + "step": 2166 + }, + { + "epoch": 0.57, + "learning_rate": 1.5137967167307021e-05, + "loss": 0.9858, + "step": 2167 + }, + { + "epoch": 0.57, + "learning_rate": 1.514495284666434e-05, + "loss": 1.0493, + "step": 2168 + }, + { + "epoch": 0.57, + "learning_rate": 1.5151938526021657e-05, + "loss": 0.8372, + "step": 2169 + }, + { + "epoch": 0.57, + "learning_rate": 1.5158924205378975e-05, + "loss": 0.8965, + "step": 2170 + }, + { + "epoch": 0.57, + "learning_rate": 1.5165909884736292e-05, + "loss": 0.9455, + "step": 2171 + }, + { + "epoch": 0.57, + "learning_rate": 1.517289556409361e-05, + "loss": 0.9331, + "step": 2172 + }, + { + "epoch": 0.57, + "learning_rate": 1.5179881243450926e-05, + "loss": 1.0299, + "step": 2173 + }, + { + "epoch": 0.57, + "learning_rate": 1.5186866922808243e-05, + "loss": 0.9444, + "step": 2174 + }, + { + "epoch": 0.57, + "learning_rate": 1.5193852602165562e-05, + "loss": 1.0641, + "step": 2175 + }, + { + "epoch": 0.57, + "learning_rate": 1.5200838281522878e-05, + "loss": 0.9713, + "step": 2176 + }, + { + "epoch": 0.57, + "learning_rate": 1.5207823960880198e-05, + "loss": 1.1086, + "step": 2177 + }, + { + "epoch": 0.57, + "learning_rate": 1.5214809640237514e-05, + "loss": 0.9929, + "step": 2178 + }, + { + "epoch": 0.57, + "learning_rate": 1.5221795319594832e-05, + "loss": 1.0381, + "step": 2179 + }, + { + "epoch": 0.57, + "learning_rate": 1.5228780998952148e-05, + "loss": 1.1502, + "step": 2180 + }, + { + "epoch": 0.57, + "learning_rate": 1.5235766678309467e-05, + "loss": 0.8429, + "step": 2181 + }, + { + "epoch": 0.57, + "learning_rate": 1.5242752357666783e-05, + "loss": 0.9165, + "step": 2182 + }, + { + "epoch": 0.57, + "learning_rate": 1.5249738037024103e-05, + "loss": 1.0833, + "step": 2183 + }, + { + "epoch": 0.57, + "learning_rate": 1.5256723716381419e-05, + "loss": 0.9267, + "step": 2184 + }, + { + "epoch": 0.57, + "learning_rate": 1.526370939573874e-05, + "loss": 0.8544, + "step": 2185 + }, + { + "epoch": 0.57, + "learning_rate": 1.5270695075096053e-05, + "loss": 1.1834, + "step": 2186 + }, + { + "epoch": 0.57, + "learning_rate": 1.527768075445337e-05, + "loss": 0.9554, + "step": 2187 + }, + { + "epoch": 0.57, + "learning_rate": 1.528466643381069e-05, + "loss": 0.9071, + "step": 2188 + }, + { + "epoch": 0.57, + "learning_rate": 1.5291652113168006e-05, + "loss": 0.9453, + "step": 2189 + }, + { + "epoch": 0.57, + "learning_rate": 1.5298637792525324e-05, + "loss": 1.0378, + "step": 2190 + }, + { + "epoch": 0.57, + "learning_rate": 1.5305623471882642e-05, + "loss": 0.8982, + "step": 2191 + }, + { + "epoch": 0.57, + "learning_rate": 1.531260915123996e-05, + "loss": 1.1432, + "step": 2192 + }, + { + "epoch": 0.57, + "learning_rate": 1.5319594830597278e-05, + "loss": 0.8178, + "step": 2193 + }, + { + "epoch": 0.57, + "learning_rate": 1.5326580509954595e-05, + "loss": 0.8993, + "step": 2194 + }, + { + "epoch": 0.57, + "learning_rate": 1.5333566189311913e-05, + "loss": 1.1376, + "step": 2195 + }, + { + "epoch": 0.58, + "learning_rate": 1.5340551868669228e-05, + "loss": 0.9901, + "step": 2196 + }, + { + "epoch": 0.58, + "learning_rate": 1.534753754802655e-05, + "loss": 1.0286, + "step": 2197 + }, + { + "epoch": 0.58, + "learning_rate": 1.5354523227383863e-05, + "loss": 0.9971, + "step": 2198 + }, + { + "epoch": 0.58, + "learning_rate": 1.536150890674118e-05, + "loss": 0.8826, + "step": 2199 + }, + { + "epoch": 0.58, + "learning_rate": 1.53684945860985e-05, + "loss": 1.0454, + "step": 2200 + }, + { + "epoch": 0.58, + "learning_rate": 1.5375480265455817e-05, + "loss": 1.1235, + "step": 2201 + }, + { + "epoch": 0.58, + "learning_rate": 1.5382465944813135e-05, + "loss": 0.9722, + "step": 2202 + }, + { + "epoch": 0.58, + "learning_rate": 1.5389451624170452e-05, + "loss": 0.9414, + "step": 2203 + }, + { + "epoch": 0.58, + "learning_rate": 1.539643730352777e-05, + "loss": 0.8865, + "step": 2204 + }, + { + "epoch": 0.58, + "learning_rate": 1.5403422982885088e-05, + "loss": 0.9133, + "step": 2205 + }, + { + "epoch": 0.58, + "learning_rate": 1.5410408662242406e-05, + "loss": 0.8084, + "step": 2206 + }, + { + "epoch": 0.58, + "learning_rate": 1.5417394341599724e-05, + "loss": 0.9517, + "step": 2207 + }, + { + "epoch": 0.58, + "learning_rate": 1.5424380020957038e-05, + "loss": 0.9914, + "step": 2208 + }, + { + "epoch": 0.58, + "learning_rate": 1.5431365700314356e-05, + "loss": 0.8923, + "step": 2209 + }, + { + "epoch": 0.58, + "learning_rate": 1.5438351379671674e-05, + "loss": 1.0487, + "step": 2210 + }, + { + "epoch": 0.58, + "learning_rate": 1.544533705902899e-05, + "loss": 0.9963, + "step": 2211 + }, + { + "epoch": 0.58, + "learning_rate": 1.545232273838631e-05, + "loss": 0.9111, + "step": 2212 + }, + { + "epoch": 0.58, + "learning_rate": 1.5459308417743627e-05, + "loss": 0.8357, + "step": 2213 + }, + { + "epoch": 0.58, + "learning_rate": 1.5466294097100945e-05, + "loss": 0.7329, + "step": 2214 + }, + { + "epoch": 0.58, + "learning_rate": 1.547327977645826e-05, + "loss": 0.9833, + "step": 2215 + }, + { + "epoch": 0.58, + "learning_rate": 1.548026545581558e-05, + "loss": 0.8965, + "step": 2216 + }, + { + "epoch": 0.58, + "learning_rate": 1.5487251135172895e-05, + "loss": 0.9067, + "step": 2217 + }, + { + "epoch": 0.58, + "learning_rate": 1.5494236814530216e-05, + "loss": 0.9744, + "step": 2218 + }, + { + "epoch": 0.58, + "learning_rate": 1.550122249388753e-05, + "loss": 0.9051, + "step": 2219 + }, + { + "epoch": 0.58, + "learning_rate": 1.550820817324485e-05, + "loss": 0.9217, + "step": 2220 + }, + { + "epoch": 0.58, + "learning_rate": 1.5515193852602166e-05, + "loss": 1.0308, + "step": 2221 + }, + { + "epoch": 0.58, + "learning_rate": 1.5522179531959484e-05, + "loss": 0.8746, + "step": 2222 + }, + { + "epoch": 0.58, + "learning_rate": 1.5529165211316802e-05, + "loss": 0.9553, + "step": 2223 + }, + { + "epoch": 0.58, + "learning_rate": 1.553615089067412e-05, + "loss": 0.8369, + "step": 2224 + }, + { + "epoch": 0.58, + "learning_rate": 1.5543136570031437e-05, + "loss": 0.9373, + "step": 2225 + }, + { + "epoch": 0.58, + "learning_rate": 1.5550122249388755e-05, + "loss": 1.0121, + "step": 2226 + }, + { + "epoch": 0.58, + "learning_rate": 1.5557107928746073e-05, + "loss": 1.0615, + "step": 2227 + }, + { + "epoch": 0.58, + "learning_rate": 1.556409360810339e-05, + "loss": 1.1449, + "step": 2228 + }, + { + "epoch": 0.58, + "learning_rate": 1.5571079287460705e-05, + "loss": 1.0102, + "step": 2229 + }, + { + "epoch": 0.58, + "learning_rate": 1.5578064966818026e-05, + "loss": 0.7906, + "step": 2230 + }, + { + "epoch": 0.58, + "learning_rate": 1.558505064617534e-05, + "loss": 0.8568, + "step": 2231 + }, + { + "epoch": 0.58, + "learning_rate": 1.559203632553266e-05, + "loss": 0.8775, + "step": 2232 + }, + { + "epoch": 0.58, + "learning_rate": 1.5599022004889977e-05, + "loss": 0.8794, + "step": 2233 + }, + { + "epoch": 0.59, + "learning_rate": 1.5606007684247294e-05, + "loss": 1.1121, + "step": 2234 + }, + { + "epoch": 0.59, + "learning_rate": 1.5612993363604612e-05, + "loss": 0.9232, + "step": 2235 + }, + { + "epoch": 0.59, + "learning_rate": 1.561997904296193e-05, + "loss": 1.2208, + "step": 2236 + }, + { + "epoch": 0.59, + "learning_rate": 1.5626964722319248e-05, + "loss": 0.9262, + "step": 2237 + }, + { + "epoch": 0.59, + "learning_rate": 1.5633950401676566e-05, + "loss": 0.942, + "step": 2238 + }, + { + "epoch": 0.59, + "learning_rate": 1.5640936081033883e-05, + "loss": 0.9577, + "step": 2239 + }, + { + "epoch": 0.59, + "learning_rate": 1.56479217603912e-05, + "loss": 0.9463, + "step": 2240 + }, + { + "epoch": 0.59, + "learning_rate": 1.5654907439748516e-05, + "loss": 0.9545, + "step": 2241 + }, + { + "epoch": 0.59, + "learning_rate": 1.5661893119105837e-05, + "loss": 0.9796, + "step": 2242 + }, + { + "epoch": 0.59, + "learning_rate": 1.566887879846315e-05, + "loss": 0.6732, + "step": 2243 + }, + { + "epoch": 0.59, + "learning_rate": 1.567586447782047e-05, + "loss": 0.9146, + "step": 2244 + }, + { + "epoch": 0.59, + "learning_rate": 1.5682850157177787e-05, + "loss": 0.7231, + "step": 2245 + }, + { + "epoch": 0.59, + "learning_rate": 1.5689835836535105e-05, + "loss": 0.9027, + "step": 2246 + }, + { + "epoch": 0.59, + "learning_rate": 1.5696821515892422e-05, + "loss": 1.1755, + "step": 2247 + }, + { + "epoch": 0.59, + "learning_rate": 1.5703807195249737e-05, + "loss": 0.7979, + "step": 2248 + }, + { + "epoch": 0.59, + "learning_rate": 1.5710792874607058e-05, + "loss": 0.93, + "step": 2249 + }, + { + "epoch": 0.59, + "learning_rate": 1.5717778553964373e-05, + "loss": 1.0984, + "step": 2250 + }, + { + "epoch": 0.59, + "learning_rate": 1.5724764233321694e-05, + "loss": 1.0229, + "step": 2251 + }, + { + "epoch": 0.59, + "learning_rate": 1.5731749912679008e-05, + "loss": 0.893, + "step": 2252 + }, + { + "epoch": 0.59, + "learning_rate": 1.5738735592036326e-05, + "loss": 0.7087, + "step": 2253 + }, + { + "epoch": 0.59, + "learning_rate": 1.5745721271393644e-05, + "loss": 0.8513, + "step": 2254 + }, + { + "epoch": 0.59, + "learning_rate": 1.575270695075096e-05, + "loss": 0.925, + "step": 2255 + }, + { + "epoch": 0.59, + "learning_rate": 1.575969263010828e-05, + "loss": 0.9624, + "step": 2256 + }, + { + "epoch": 0.59, + "learning_rate": 1.5766678309465597e-05, + "loss": 0.9589, + "step": 2257 + }, + { + "epoch": 0.59, + "learning_rate": 1.5773663988822915e-05, + "loss": 0.9465, + "step": 2258 + }, + { + "epoch": 0.59, + "learning_rate": 1.5780649668180233e-05, + "loss": 1.1483, + "step": 2259 + }, + { + "epoch": 0.59, + "learning_rate": 1.5787635347537547e-05, + "loss": 1.0445, + "step": 2260 + }, + { + "epoch": 0.59, + "learning_rate": 1.579462102689487e-05, + "loss": 1.1133, + "step": 2261 + }, + { + "epoch": 0.59, + "learning_rate": 1.5801606706252183e-05, + "loss": 1.0566, + "step": 2262 + }, + { + "epoch": 0.59, + "learning_rate": 1.5808592385609504e-05, + "loss": 0.8572, + "step": 2263 + }, + { + "epoch": 0.59, + "learning_rate": 1.581557806496682e-05, + "loss": 0.9675, + "step": 2264 + }, + { + "epoch": 0.59, + "learning_rate": 1.5822563744324136e-05, + "loss": 0.9895, + "step": 2265 + }, + { + "epoch": 0.59, + "learning_rate": 1.5829549423681454e-05, + "loss": 0.7586, + "step": 2266 + }, + { + "epoch": 0.59, + "learning_rate": 1.5836535103038772e-05, + "loss": 0.7759, + "step": 2267 + }, + { + "epoch": 0.59, + "learning_rate": 1.584352078239609e-05, + "loss": 0.9685, + "step": 2268 + }, + { + "epoch": 0.59, + "learning_rate": 1.5850506461753408e-05, + "loss": 0.9071, + "step": 2269 + }, + { + "epoch": 0.59, + "learning_rate": 1.5857492141110725e-05, + "loss": 0.9376, + "step": 2270 + }, + { + "epoch": 0.59, + "learning_rate": 1.5864477820468043e-05, + "loss": 0.9119, + "step": 2271 + }, + { + "epoch": 0.6, + "learning_rate": 1.5871463499825358e-05, + "loss": 0.935, + "step": 2272 + }, + { + "epoch": 0.6, + "learning_rate": 1.587844917918268e-05, + "loss": 0.8421, + "step": 2273 + }, + { + "epoch": 0.6, + "learning_rate": 1.5885434858539993e-05, + "loss": 1.1682, + "step": 2274 + }, + { + "epoch": 0.6, + "learning_rate": 1.5892420537897314e-05, + "loss": 0.9709, + "step": 2275 + }, + { + "epoch": 0.6, + "learning_rate": 1.589940621725463e-05, + "loss": 0.9942, + "step": 2276 + }, + { + "epoch": 0.6, + "learning_rate": 1.5906391896611947e-05, + "loss": 0.7222, + "step": 2277 + }, + { + "epoch": 0.6, + "learning_rate": 1.5913377575969265e-05, + "loss": 1.0394, + "step": 2278 + }, + { + "epoch": 0.6, + "learning_rate": 1.5920363255326582e-05, + "loss": 0.7971, + "step": 2279 + }, + { + "epoch": 0.6, + "learning_rate": 1.59273489346839e-05, + "loss": 0.8561, + "step": 2280 + }, + { + "epoch": 0.6, + "learning_rate": 1.5934334614041215e-05, + "loss": 0.9095, + "step": 2281 + }, + { + "epoch": 0.6, + "learning_rate": 1.5941320293398536e-05, + "loss": 0.8574, + "step": 2282 + }, + { + "epoch": 0.6, + "learning_rate": 1.594830597275585e-05, + "loss": 0.9399, + "step": 2283 + }, + { + "epoch": 0.6, + "learning_rate": 1.5955291652113168e-05, + "loss": 0.9443, + "step": 2284 + }, + { + "epoch": 0.6, + "learning_rate": 1.5962277331470486e-05, + "loss": 0.8905, + "step": 2285 + }, + { + "epoch": 0.6, + "learning_rate": 1.5969263010827804e-05, + "loss": 0.9823, + "step": 2286 + }, + { + "epoch": 0.6, + "learning_rate": 1.597624869018512e-05, + "loss": 0.9692, + "step": 2287 + }, + { + "epoch": 0.6, + "learning_rate": 1.598323436954244e-05, + "loss": 0.9101, + "step": 2288 + }, + { + "epoch": 0.6, + "learning_rate": 1.5990220048899757e-05, + "loss": 1.1678, + "step": 2289 + }, + { + "epoch": 0.6, + "learning_rate": 1.5997205728257075e-05, + "loss": 0.9841, + "step": 2290 + }, + { + "epoch": 0.6, + "learning_rate": 1.6004191407614393e-05, + "loss": 0.9559, + "step": 2291 + }, + { + "epoch": 0.6, + "learning_rate": 1.601117708697171e-05, + "loss": 0.9314, + "step": 2292 + }, + { + "epoch": 0.6, + "learning_rate": 1.6018162766329025e-05, + "loss": 0.9803, + "step": 2293 + }, + { + "epoch": 0.6, + "learning_rate": 1.6025148445686346e-05, + "loss": 1.1957, + "step": 2294 + }, + { + "epoch": 0.6, + "learning_rate": 1.603213412504366e-05, + "loss": 0.8612, + "step": 2295 + }, + { + "epoch": 0.6, + "learning_rate": 1.603911980440098e-05, + "loss": 1.0196, + "step": 2296 + }, + { + "epoch": 0.6, + "learning_rate": 1.6046105483758296e-05, + "loss": 0.8599, + "step": 2297 + }, + { + "epoch": 0.6, + "learning_rate": 1.6053091163115614e-05, + "loss": 0.7823, + "step": 2298 + }, + { + "epoch": 0.6, + "learning_rate": 1.6060076842472932e-05, + "loss": 0.8309, + "step": 2299 + }, + { + "epoch": 0.6, + "learning_rate": 1.606706252183025e-05, + "loss": 0.9899, + "step": 2300 + }, + { + "epoch": 0.6, + "learning_rate": 1.6074048201187567e-05, + "loss": 0.7189, + "step": 2301 + }, + { + "epoch": 0.6, + "learning_rate": 1.6081033880544885e-05, + "loss": 1.1128, + "step": 2302 + }, + { + "epoch": 0.6, + "learning_rate": 1.6088019559902203e-05, + "loss": 0.8944, + "step": 2303 + }, + { + "epoch": 0.6, + "learning_rate": 1.609500523925952e-05, + "loss": 0.8903, + "step": 2304 + }, + { + "epoch": 0.6, + "learning_rate": 1.6101990918616835e-05, + "loss": 1.0213, + "step": 2305 + }, + { + "epoch": 0.6, + "learning_rate": 1.6108976597974156e-05, + "loss": 0.9912, + "step": 2306 + }, + { + "epoch": 0.6, + "learning_rate": 1.611596227733147e-05, + "loss": 0.7911, + "step": 2307 + }, + { + "epoch": 0.6, + "learning_rate": 1.612294795668879e-05, + "loss": 0.8554, + "step": 2308 + }, + { + "epoch": 0.6, + "learning_rate": 1.6129933636046107e-05, + "loss": 1.038, + "step": 2309 + }, + { + "epoch": 0.61, + "learning_rate": 1.6136919315403424e-05, + "loss": 0.8943, + "step": 2310 + }, + { + "epoch": 0.61, + "learning_rate": 1.6143904994760742e-05, + "loss": 0.9143, + "step": 2311 + }, + { + "epoch": 0.61, + "learning_rate": 1.6150890674118057e-05, + "loss": 0.9615, + "step": 2312 + }, + { + "epoch": 0.61, + "learning_rate": 1.6157876353475378e-05, + "loss": 0.9902, + "step": 2313 + }, + { + "epoch": 0.61, + "learning_rate": 1.6164862032832692e-05, + "loss": 0.8709, + "step": 2314 + }, + { + "epoch": 0.61, + "learning_rate": 1.6171847712190013e-05, + "loss": 0.9678, + "step": 2315 + }, + { + "epoch": 0.61, + "learning_rate": 1.6178833391547328e-05, + "loss": 1.0283, + "step": 2316 + }, + { + "epoch": 0.61, + "learning_rate": 1.6185819070904646e-05, + "loss": 1.0853, + "step": 2317 + }, + { + "epoch": 0.61, + "learning_rate": 1.6192804750261963e-05, + "loss": 0.8989, + "step": 2318 + }, + { + "epoch": 0.61, + "learning_rate": 1.619979042961928e-05, + "loss": 0.9293, + "step": 2319 + }, + { + "epoch": 0.61, + "learning_rate": 1.62067761089766e-05, + "loss": 1.0675, + "step": 2320 + }, + { + "epoch": 0.61, + "learning_rate": 1.6213761788333917e-05, + "loss": 0.9879, + "step": 2321 + }, + { + "epoch": 0.61, + "learning_rate": 1.6220747467691235e-05, + "loss": 0.9475, + "step": 2322 + }, + { + "epoch": 0.61, + "learning_rate": 1.6227733147048552e-05, + "loss": 0.9612, + "step": 2323 + }, + { + "epoch": 0.61, + "learning_rate": 1.6234718826405867e-05, + "loss": 1.0126, + "step": 2324 + }, + { + "epoch": 0.61, + "learning_rate": 1.6241704505763188e-05, + "loss": 0.8049, + "step": 2325 + }, + { + "epoch": 0.61, + "learning_rate": 1.6248690185120503e-05, + "loss": 0.8346, + "step": 2326 + }, + { + "epoch": 0.61, + "learning_rate": 1.6255675864477824e-05, + "loss": 0.8947, + "step": 2327 + }, + { + "epoch": 0.61, + "learning_rate": 1.6262661543835138e-05, + "loss": 0.8839, + "step": 2328 + }, + { + "epoch": 0.61, + "learning_rate": 1.6269647223192456e-05, + "loss": 0.9778, + "step": 2329 + }, + { + "epoch": 0.61, + "learning_rate": 1.6276632902549774e-05, + "loss": 0.7869, + "step": 2330 + }, + { + "epoch": 0.61, + "learning_rate": 1.628361858190709e-05, + "loss": 1.1236, + "step": 2331 + }, + { + "epoch": 0.61, + "learning_rate": 1.629060426126441e-05, + "loss": 0.9191, + "step": 2332 + }, + { + "epoch": 0.61, + "learning_rate": 1.6297589940621727e-05, + "loss": 0.9158, + "step": 2333 + }, + { + "epoch": 0.61, + "learning_rate": 1.6304575619979045e-05, + "loss": 0.9217, + "step": 2334 + }, + { + "epoch": 0.61, + "learning_rate": 1.6311561299336363e-05, + "loss": 1.0133, + "step": 2335 + }, + { + "epoch": 0.61, + "learning_rate": 1.631854697869368e-05, + "loss": 1.0124, + "step": 2336 + }, + { + "epoch": 0.61, + "learning_rate": 1.6325532658051e-05, + "loss": 1.0104, + "step": 2337 + }, + { + "epoch": 0.61, + "learning_rate": 1.6332518337408313e-05, + "loss": 0.8105, + "step": 2338 + }, + { + "epoch": 0.61, + "learning_rate": 1.6339504016765634e-05, + "loss": 0.9603, + "step": 2339 + }, + { + "epoch": 0.61, + "learning_rate": 1.634648969612295e-05, + "loss": 1.0469, + "step": 2340 + }, + { + "epoch": 0.61, + "learning_rate": 1.6353475375480266e-05, + "loss": 1.0001, + "step": 2341 + }, + { + "epoch": 0.61, + "learning_rate": 1.6360461054837584e-05, + "loss": 0.9254, + "step": 2342 + }, + { + "epoch": 0.61, + "learning_rate": 1.6367446734194902e-05, + "loss": 1.0518, + "step": 2343 + }, + { + "epoch": 0.61, + "learning_rate": 1.637443241355222e-05, + "loss": 0.8959, + "step": 2344 + }, + { + "epoch": 0.61, + "learning_rate": 1.6381418092909538e-05, + "loss": 0.8607, + "step": 2345 + }, + { + "epoch": 0.61, + "learning_rate": 1.6388403772266855e-05, + "loss": 1.0398, + "step": 2346 + }, + { + "epoch": 0.61, + "learning_rate": 1.639538945162417e-05, + "loss": 0.6518, + "step": 2347 + }, + { + "epoch": 0.62, + "learning_rate": 1.640237513098149e-05, + "loss": 0.8976, + "step": 2348 + }, + { + "epoch": 0.62, + "learning_rate": 1.6409360810338805e-05, + "loss": 0.7893, + "step": 2349 + }, + { + "epoch": 0.62, + "learning_rate": 1.6416346489696123e-05, + "loss": 1.0693, + "step": 2350 + }, + { + "epoch": 0.62, + "learning_rate": 1.642333216905344e-05, + "loss": 1.03, + "step": 2351 + }, + { + "epoch": 0.62, + "learning_rate": 1.643031784841076e-05, + "loss": 0.9278, + "step": 2352 + }, + { + "epoch": 0.62, + "learning_rate": 1.6437303527768077e-05, + "loss": 0.9158, + "step": 2353 + }, + { + "epoch": 0.62, + "learning_rate": 1.6444289207125395e-05, + "loss": 0.9108, + "step": 2354 + }, + { + "epoch": 0.62, + "learning_rate": 1.6451274886482712e-05, + "loss": 0.8077, + "step": 2355 + }, + { + "epoch": 0.62, + "learning_rate": 1.645826056584003e-05, + "loss": 1.018, + "step": 2356 + }, + { + "epoch": 0.62, + "learning_rate": 1.6465246245197345e-05, + "loss": 0.785, + "step": 2357 + }, + { + "epoch": 0.62, + "learning_rate": 1.6472231924554666e-05, + "loss": 0.8332, + "step": 2358 + }, + { + "epoch": 0.62, + "learning_rate": 1.647921760391198e-05, + "loss": 1.1018, + "step": 2359 + }, + { + "epoch": 0.62, + "learning_rate": 1.64862032832693e-05, + "loss": 0.8847, + "step": 2360 + }, + { + "epoch": 0.62, + "learning_rate": 1.6493188962626616e-05, + "loss": 0.9506, + "step": 2361 + }, + { + "epoch": 0.62, + "learning_rate": 1.6500174641983934e-05, + "loss": 0.8018, + "step": 2362 + }, + { + "epoch": 0.62, + "learning_rate": 1.650716032134125e-05, + "loss": 0.8754, + "step": 2363 + }, + { + "epoch": 0.62, + "learning_rate": 1.651414600069857e-05, + "loss": 1.0249, + "step": 2364 + }, + { + "epoch": 0.62, + "learning_rate": 1.6521131680055887e-05, + "loss": 0.9444, + "step": 2365 + }, + { + "epoch": 0.62, + "learning_rate": 1.6528117359413205e-05, + "loss": 0.957, + "step": 2366 + }, + { + "epoch": 0.62, + "learning_rate": 1.6535103038770523e-05, + "loss": 0.9312, + "step": 2367 + }, + { + "epoch": 0.62, + "learning_rate": 1.654208871812784e-05, + "loss": 0.9256, + "step": 2368 + }, + { + "epoch": 0.62, + "learning_rate": 1.6549074397485155e-05, + "loss": 0.9338, + "step": 2369 + }, + { + "epoch": 0.62, + "learning_rate": 1.6556060076842476e-05, + "loss": 0.8055, + "step": 2370 + }, + { + "epoch": 0.62, + "learning_rate": 1.656304575619979e-05, + "loss": 1.0491, + "step": 2371 + }, + { + "epoch": 0.62, + "learning_rate": 1.6570031435557112e-05, + "loss": 0.8816, + "step": 2372 + }, + { + "epoch": 0.62, + "learning_rate": 1.6577017114914426e-05, + "loss": 1.1273, + "step": 2373 + }, + { + "epoch": 0.62, + "learning_rate": 1.6584002794271744e-05, + "loss": 0.989, + "step": 2374 + }, + { + "epoch": 0.62, + "learning_rate": 1.6590988473629062e-05, + "loss": 0.8948, + "step": 2375 + }, + { + "epoch": 0.62, + "learning_rate": 1.659797415298638e-05, + "loss": 0.8866, + "step": 2376 + }, + { + "epoch": 0.62, + "learning_rate": 1.6604959832343697e-05, + "loss": 0.848, + "step": 2377 + }, + { + "epoch": 0.62, + "learning_rate": 1.6611945511701015e-05, + "loss": 1.038, + "step": 2378 + }, + { + "epoch": 0.62, + "learning_rate": 1.6618931191058333e-05, + "loss": 0.8838, + "step": 2379 + }, + { + "epoch": 0.62, + "learning_rate": 1.662591687041565e-05, + "loss": 0.9579, + "step": 2380 + }, + { + "epoch": 0.62, + "learning_rate": 1.6632902549772965e-05, + "loss": 0.8364, + "step": 2381 + }, + { + "epoch": 0.62, + "learning_rate": 1.6639888229130283e-05, + "loss": 0.9802, + "step": 2382 + }, + { + "epoch": 0.62, + "learning_rate": 1.66468739084876e-05, + "loss": 0.8458, + "step": 2383 + }, + { + "epoch": 0.62, + "learning_rate": 1.665385958784492e-05, + "loss": 1.0139, + "step": 2384 + }, + { + "epoch": 0.62, + "learning_rate": 1.6660845267202237e-05, + "loss": 0.9641, + "step": 2385 + }, + { + "epoch": 0.63, + "learning_rate": 1.6667830946559554e-05, + "loss": 0.7917, + "step": 2386 + }, + { + "epoch": 0.63, + "learning_rate": 1.6674816625916872e-05, + "loss": 1.0625, + "step": 2387 + }, + { + "epoch": 0.63, + "learning_rate": 1.668180230527419e-05, + "loss": 0.9993, + "step": 2388 + }, + { + "epoch": 0.63, + "learning_rate": 1.6688787984631508e-05, + "loss": 1.1218, + "step": 2389 + }, + { + "epoch": 0.63, + "learning_rate": 1.6695773663988822e-05, + "loss": 0.8218, + "step": 2390 + }, + { + "epoch": 0.63, + "learning_rate": 1.6702759343346143e-05, + "loss": 0.8396, + "step": 2391 + }, + { + "epoch": 0.63, + "learning_rate": 1.6709745022703458e-05, + "loss": 0.9124, + "step": 2392 + }, + { + "epoch": 0.63, + "learning_rate": 1.6716730702060776e-05, + "loss": 0.8545, + "step": 2393 + }, + { + "epoch": 0.63, + "learning_rate": 1.6723716381418093e-05, + "loss": 0.9439, + "step": 2394 + }, + { + "epoch": 0.63, + "learning_rate": 1.673070206077541e-05, + "loss": 0.9207, + "step": 2395 + }, + { + "epoch": 0.63, + "learning_rate": 1.673768774013273e-05, + "loss": 1.2031, + "step": 2396 + }, + { + "epoch": 0.63, + "learning_rate": 1.6744673419490047e-05, + "loss": 0.8091, + "step": 2397 + }, + { + "epoch": 0.63, + "learning_rate": 1.6751659098847365e-05, + "loss": 0.8525, + "step": 2398 + }, + { + "epoch": 0.63, + "learning_rate": 1.6758644778204683e-05, + "loss": 0.9296, + "step": 2399 + }, + { + "epoch": 0.63, + "learning_rate": 1.6765630457562e-05, + "loss": 0.9896, + "step": 2400 + }, + { + "epoch": 0.63, + "learning_rate": 1.6772616136919318e-05, + "loss": 0.8983, + "step": 2401 + }, + { + "epoch": 0.63, + "learning_rate": 1.6779601816276633e-05, + "loss": 0.9161, + "step": 2402 + }, + { + "epoch": 0.63, + "learning_rate": 1.6786587495633954e-05, + "loss": 0.9212, + "step": 2403 + }, + { + "epoch": 0.63, + "learning_rate": 1.6793573174991268e-05, + "loss": 1.0386, + "step": 2404 + }, + { + "epoch": 0.63, + "learning_rate": 1.6800558854348586e-05, + "loss": 0.8673, + "step": 2405 + }, + { + "epoch": 0.63, + "learning_rate": 1.6807544533705904e-05, + "loss": 0.9443, + "step": 2406 + }, + { + "epoch": 0.63, + "learning_rate": 1.681453021306322e-05, + "loss": 0.9882, + "step": 2407 + }, + { + "epoch": 0.63, + "learning_rate": 1.682151589242054e-05, + "loss": 1.1505, + "step": 2408 + }, + { + "epoch": 0.63, + "learning_rate": 1.6828501571777857e-05, + "loss": 0.8284, + "step": 2409 + }, + { + "epoch": 0.63, + "learning_rate": 1.6835487251135175e-05, + "loss": 0.8997, + "step": 2410 + }, + { + "epoch": 0.63, + "learning_rate": 1.6842472930492493e-05, + "loss": 0.9183, + "step": 2411 + }, + { + "epoch": 0.63, + "learning_rate": 1.684945860984981e-05, + "loss": 1.0002, + "step": 2412 + }, + { + "epoch": 0.63, + "learning_rate": 1.685644428920713e-05, + "loss": 1.0393, + "step": 2413 + }, + { + "epoch": 0.63, + "learning_rate": 1.6863429968564443e-05, + "loss": 1.1409, + "step": 2414 + }, + { + "epoch": 0.63, + "learning_rate": 1.687041564792176e-05, + "loss": 0.8033, + "step": 2415 + }, + { + "epoch": 0.63, + "learning_rate": 1.687740132727908e-05, + "loss": 0.9675, + "step": 2416 + }, + { + "epoch": 0.63, + "learning_rate": 1.6884387006636396e-05, + "loss": 1.0372, + "step": 2417 + }, + { + "epoch": 0.63, + "learning_rate": 1.6891372685993714e-05, + "loss": 0.9475, + "step": 2418 + }, + { + "epoch": 0.63, + "learning_rate": 1.6898358365351032e-05, + "loss": 0.9193, + "step": 2419 + }, + { + "epoch": 0.63, + "learning_rate": 1.690534404470835e-05, + "loss": 1.2905, + "step": 2420 + }, + { + "epoch": 0.63, + "learning_rate": 1.6912329724065664e-05, + "loss": 0.8044, + "step": 2421 + }, + { + "epoch": 0.63, + "learning_rate": 1.6919315403422985e-05, + "loss": 0.9124, + "step": 2422 + }, + { + "epoch": 0.63, + "learning_rate": 1.69263010827803e-05, + "loss": 1.0947, + "step": 2423 + }, + { + "epoch": 0.63, + "learning_rate": 1.693328676213762e-05, + "loss": 0.8911, + "step": 2424 + }, + { + "epoch": 0.64, + "learning_rate": 1.6940272441494935e-05, + "loss": 0.8456, + "step": 2425 + }, + { + "epoch": 0.64, + "learning_rate": 1.6947258120852253e-05, + "loss": 1.109, + "step": 2426 + }, + { + "epoch": 0.64, + "learning_rate": 1.695424380020957e-05, + "loss": 0.907, + "step": 2427 + }, + { + "epoch": 0.64, + "learning_rate": 1.696122947956689e-05, + "loss": 0.8436, + "step": 2428 + }, + { + "epoch": 0.64, + "learning_rate": 1.6968215158924207e-05, + "loss": 1.0603, + "step": 2429 + }, + { + "epoch": 0.64, + "learning_rate": 1.6975200838281525e-05, + "loss": 0.9141, + "step": 2430 + }, + { + "epoch": 0.64, + "learning_rate": 1.6982186517638842e-05, + "loss": 0.7396, + "step": 2431 + }, + { + "epoch": 0.64, + "learning_rate": 1.698917219699616e-05, + "loss": 0.917, + "step": 2432 + }, + { + "epoch": 0.64, + "learning_rate": 1.6996157876353475e-05, + "loss": 0.721, + "step": 2433 + }, + { + "epoch": 0.64, + "learning_rate": 1.7003143555710796e-05, + "loss": 0.9354, + "step": 2434 + }, + { + "epoch": 0.64, + "learning_rate": 1.701012923506811e-05, + "loss": 1.0451, + "step": 2435 + }, + { + "epoch": 0.64, + "learning_rate": 1.701711491442543e-05, + "loss": 0.9672, + "step": 2436 + }, + { + "epoch": 0.64, + "learning_rate": 1.7024100593782746e-05, + "loss": 0.8881, + "step": 2437 + }, + { + "epoch": 0.64, + "learning_rate": 1.7031086273140064e-05, + "loss": 1.1153, + "step": 2438 + }, + { + "epoch": 0.64, + "learning_rate": 1.703807195249738e-05, + "loss": 0.9816, + "step": 2439 + }, + { + "epoch": 0.64, + "learning_rate": 1.70450576318547e-05, + "loss": 1.0192, + "step": 2440 + }, + { + "epoch": 0.64, + "learning_rate": 1.7052043311212017e-05, + "loss": 1.0079, + "step": 2441 + }, + { + "epoch": 0.64, + "learning_rate": 1.7059028990569335e-05, + "loss": 0.7962, + "step": 2442 + }, + { + "epoch": 0.64, + "learning_rate": 1.7066014669926653e-05, + "loss": 0.9166, + "step": 2443 + }, + { + "epoch": 0.64, + "learning_rate": 1.707300034928397e-05, + "loss": 0.8443, + "step": 2444 + }, + { + "epoch": 0.64, + "learning_rate": 1.707998602864129e-05, + "loss": 1.0897, + "step": 2445 + }, + { + "epoch": 0.64, + "learning_rate": 1.7086971707998606e-05, + "loss": 0.9498, + "step": 2446 + }, + { + "epoch": 0.64, + "learning_rate": 1.709395738735592e-05, + "loss": 1.0753, + "step": 2447 + }, + { + "epoch": 0.64, + "learning_rate": 1.7100943066713242e-05, + "loss": 0.9658, + "step": 2448 + }, + { + "epoch": 0.64, + "learning_rate": 1.7107928746070556e-05, + "loss": 0.8695, + "step": 2449 + }, + { + "epoch": 0.64, + "learning_rate": 1.7114914425427874e-05, + "loss": 0.8666, + "step": 2450 + }, + { + "epoch": 0.64, + "learning_rate": 1.7121900104785192e-05, + "loss": 1.0092, + "step": 2451 + }, + { + "epoch": 0.64, + "learning_rate": 1.712888578414251e-05, + "loss": 0.9134, + "step": 2452 + }, + { + "epoch": 0.64, + "learning_rate": 1.7135871463499827e-05, + "loss": 0.7828, + "step": 2453 + }, + { + "epoch": 0.64, + "learning_rate": 1.7142857142857142e-05, + "loss": 0.9141, + "step": 2454 + }, + { + "epoch": 0.64, + "learning_rate": 1.7149842822214463e-05, + "loss": 0.9441, + "step": 2455 + }, + { + "epoch": 0.64, + "learning_rate": 1.7156828501571777e-05, + "loss": 1.1522, + "step": 2456 + }, + { + "epoch": 0.64, + "learning_rate": 1.71638141809291e-05, + "loss": 0.8607, + "step": 2457 + }, + { + "epoch": 0.64, + "learning_rate": 1.7170799860286413e-05, + "loss": 0.7988, + "step": 2458 + }, + { + "epoch": 0.64, + "learning_rate": 1.717778553964373e-05, + "loss": 0.9208, + "step": 2459 + }, + { + "epoch": 0.64, + "learning_rate": 1.718477121900105e-05, + "loss": 0.876, + "step": 2460 + }, + { + "epoch": 0.64, + "learning_rate": 1.7191756898358367e-05, + "loss": 1.0195, + "step": 2461 + }, + { + "epoch": 0.64, + "learning_rate": 1.7198742577715684e-05, + "loss": 0.6568, + "step": 2462 + }, + { + "epoch": 0.65, + "learning_rate": 1.7205728257073002e-05, + "loss": 0.9372, + "step": 2463 + }, + { + "epoch": 0.65, + "learning_rate": 1.721271393643032e-05, + "loss": 0.9944, + "step": 2464 + }, + { + "epoch": 0.65, + "learning_rate": 1.7219699615787638e-05, + "loss": 0.9451, + "step": 2465 + }, + { + "epoch": 0.65, + "learning_rate": 1.7226685295144952e-05, + "loss": 0.9319, + "step": 2466 + }, + { + "epoch": 0.65, + "learning_rate": 1.7233670974502273e-05, + "loss": 0.8163, + "step": 2467 + }, + { + "epoch": 0.65, + "learning_rate": 1.7240656653859588e-05, + "loss": 0.8014, + "step": 2468 + }, + { + "epoch": 0.65, + "learning_rate": 1.724764233321691e-05, + "loss": 0.8418, + "step": 2469 + }, + { + "epoch": 0.65, + "learning_rate": 1.7254628012574223e-05, + "loss": 1.2509, + "step": 2470 + }, + { + "epoch": 0.65, + "learning_rate": 1.726161369193154e-05, + "loss": 0.8441, + "step": 2471 + }, + { + "epoch": 0.65, + "learning_rate": 1.726859937128886e-05, + "loss": 0.7974, + "step": 2472 + }, + { + "epoch": 0.65, + "learning_rate": 1.7275585050646177e-05, + "loss": 0.8591, + "step": 2473 + }, + { + "epoch": 0.65, + "learning_rate": 1.7282570730003495e-05, + "loss": 0.9237, + "step": 2474 + }, + { + "epoch": 0.65, + "learning_rate": 1.7289556409360813e-05, + "loss": 0.9989, + "step": 2475 + }, + { + "epoch": 0.65, + "learning_rate": 1.729654208871813e-05, + "loss": 0.7852, + "step": 2476 + }, + { + "epoch": 0.65, + "learning_rate": 1.7303527768075448e-05, + "loss": 0.8205, + "step": 2477 + }, + { + "epoch": 0.65, + "learning_rate": 1.7310513447432763e-05, + "loss": 1.0168, + "step": 2478 + }, + { + "epoch": 0.65, + "learning_rate": 1.7317499126790084e-05, + "loss": 0.8136, + "step": 2479 + }, + { + "epoch": 0.65, + "learning_rate": 1.7324484806147398e-05, + "loss": 0.9734, + "step": 2480 + }, + { + "epoch": 0.65, + "learning_rate": 1.733147048550472e-05, + "loss": 0.9124, + "step": 2481 + }, + { + "epoch": 0.65, + "learning_rate": 1.7338456164862034e-05, + "loss": 0.849, + "step": 2482 + }, + { + "epoch": 0.65, + "learning_rate": 1.734544184421935e-05, + "loss": 1.2122, + "step": 2483 + }, + { + "epoch": 0.65, + "learning_rate": 1.735242752357667e-05, + "loss": 1.0366, + "step": 2484 + }, + { + "epoch": 0.65, + "learning_rate": 1.7359413202933987e-05, + "loss": 1.0695, + "step": 2485 + }, + { + "epoch": 0.65, + "learning_rate": 1.7366398882291305e-05, + "loss": 0.8647, + "step": 2486 + }, + { + "epoch": 0.65, + "learning_rate": 1.737338456164862e-05, + "loss": 0.958, + "step": 2487 + }, + { + "epoch": 0.65, + "learning_rate": 1.738037024100594e-05, + "loss": 0.8228, + "step": 2488 + }, + { + "epoch": 0.65, + "learning_rate": 1.7387355920363255e-05, + "loss": 0.9784, + "step": 2489 + }, + { + "epoch": 0.65, + "learning_rate": 1.7394341599720573e-05, + "loss": 0.9016, + "step": 2490 + }, + { + "epoch": 0.65, + "learning_rate": 1.740132727907789e-05, + "loss": 0.9331, + "step": 2491 + }, + { + "epoch": 0.65, + "learning_rate": 1.740831295843521e-05, + "loss": 0.9425, + "step": 2492 + }, + { + "epoch": 0.65, + "learning_rate": 1.7415298637792526e-05, + "loss": 0.8829, + "step": 2493 + }, + { + "epoch": 0.65, + "learning_rate": 1.7422284317149844e-05, + "loss": 1.047, + "step": 2494 + }, + { + "epoch": 0.65, + "learning_rate": 1.7429269996507162e-05, + "loss": 0.9702, + "step": 2495 + }, + { + "epoch": 0.65, + "learning_rate": 1.743625567586448e-05, + "loss": 0.8964, + "step": 2496 + }, + { + "epoch": 0.65, + "learning_rate": 1.7443241355221798e-05, + "loss": 1.1405, + "step": 2497 + }, + { + "epoch": 0.65, + "learning_rate": 1.7450227034579115e-05, + "loss": 1.0497, + "step": 2498 + }, + { + "epoch": 0.65, + "learning_rate": 1.745721271393643e-05, + "loss": 0.7559, + "step": 2499 + }, + { + "epoch": 0.65, + "learning_rate": 1.746419839329375e-05, + "loss": 0.9726, + "step": 2500 + }, + { + "epoch": 0.66, + "learning_rate": 1.7471184072651065e-05, + "loss": 0.9841, + "step": 2501 + }, + { + "epoch": 0.66, + "learning_rate": 1.7478169752008383e-05, + "loss": 1.0558, + "step": 2502 + }, + { + "epoch": 0.66, + "learning_rate": 1.74851554313657e-05, + "loss": 0.9004, + "step": 2503 + }, + { + "epoch": 0.66, + "learning_rate": 1.749214111072302e-05, + "loss": 0.974, + "step": 2504 + }, + { + "epoch": 0.66, + "learning_rate": 1.7499126790080337e-05, + "loss": 0.7103, + "step": 2505 + }, + { + "epoch": 0.66, + "learning_rate": 1.7506112469437655e-05, + "loss": 0.9553, + "step": 2506 + }, + { + "epoch": 0.66, + "learning_rate": 1.7513098148794972e-05, + "loss": 0.9042, + "step": 2507 + }, + { + "epoch": 0.66, + "learning_rate": 1.752008382815229e-05, + "loss": 0.7365, + "step": 2508 + }, + { + "epoch": 0.66, + "learning_rate": 1.7527069507509608e-05, + "loss": 0.9136, + "step": 2509 + }, + { + "epoch": 0.66, + "learning_rate": 1.7534055186866926e-05, + "loss": 0.953, + "step": 2510 + }, + { + "epoch": 0.66, + "learning_rate": 1.754104086622424e-05, + "loss": 1.0103, + "step": 2511 + }, + { + "epoch": 0.66, + "learning_rate": 1.754802654558156e-05, + "loss": 1.1098, + "step": 2512 + }, + { + "epoch": 0.66, + "learning_rate": 1.7555012224938876e-05, + "loss": 1.0258, + "step": 2513 + }, + { + "epoch": 0.66, + "learning_rate": 1.7561997904296194e-05, + "loss": 0.8989, + "step": 2514 + }, + { + "epoch": 0.66, + "learning_rate": 1.756898358365351e-05, + "loss": 1.0059, + "step": 2515 + }, + { + "epoch": 0.66, + "learning_rate": 1.757596926301083e-05, + "loss": 1.0014, + "step": 2516 + }, + { + "epoch": 0.66, + "learning_rate": 1.7582954942368147e-05, + "loss": 0.8503, + "step": 2517 + }, + { + "epoch": 0.66, + "learning_rate": 1.7589940621725465e-05, + "loss": 0.8516, + "step": 2518 + }, + { + "epoch": 0.66, + "learning_rate": 1.7596926301082783e-05, + "loss": 0.744, + "step": 2519 + }, + { + "epoch": 0.66, + "learning_rate": 1.7603911980440097e-05, + "loss": 0.8298, + "step": 2520 + }, + { + "epoch": 0.66, + "learning_rate": 1.761089765979742e-05, + "loss": 0.8761, + "step": 2521 + }, + { + "epoch": 0.66, + "learning_rate": 1.7617883339154733e-05, + "loss": 0.8601, + "step": 2522 + }, + { + "epoch": 0.66, + "learning_rate": 1.762486901851205e-05, + "loss": 0.9648, + "step": 2523 + }, + { + "epoch": 0.66, + "learning_rate": 1.763185469786937e-05, + "loss": 1.2971, + "step": 2524 + }, + { + "epoch": 0.66, + "learning_rate": 1.7638840377226686e-05, + "loss": 0.8134, + "step": 2525 + }, + { + "epoch": 0.66, + "learning_rate": 1.7645826056584004e-05, + "loss": 1.02, + "step": 2526 + }, + { + "epoch": 0.66, + "learning_rate": 1.7652811735941322e-05, + "loss": 1.1908, + "step": 2527 + }, + { + "epoch": 0.66, + "learning_rate": 1.765979741529864e-05, + "loss": 0.887, + "step": 2528 + }, + { + "epoch": 0.66, + "learning_rate": 1.7666783094655957e-05, + "loss": 0.931, + "step": 2529 + }, + { + "epoch": 0.66, + "learning_rate": 1.7673768774013272e-05, + "loss": 0.8405, + "step": 2530 + }, + { + "epoch": 0.66, + "learning_rate": 1.7680754453370593e-05, + "loss": 0.945, + "step": 2531 + }, + { + "epoch": 0.66, + "learning_rate": 1.7687740132727907e-05, + "loss": 0.9403, + "step": 2532 + }, + { + "epoch": 0.66, + "learning_rate": 1.769472581208523e-05, + "loss": 0.9577, + "step": 2533 + }, + { + "epoch": 0.66, + "learning_rate": 1.7701711491442543e-05, + "loss": 1.0043, + "step": 2534 + }, + { + "epoch": 0.66, + "learning_rate": 1.770869717079986e-05, + "loss": 1.257, + "step": 2535 + }, + { + "epoch": 0.66, + "learning_rate": 1.771568285015718e-05, + "loss": 0.9345, + "step": 2536 + }, + { + "epoch": 0.66, + "learning_rate": 1.7722668529514497e-05, + "loss": 0.8254, + "step": 2537 + }, + { + "epoch": 0.66, + "learning_rate": 1.7729654208871814e-05, + "loss": 0.9997, + "step": 2538 + }, + { + "epoch": 0.67, + "learning_rate": 1.7736639888229132e-05, + "loss": 0.7122, + "step": 2539 + }, + { + "epoch": 0.67, + "learning_rate": 1.774362556758645e-05, + "loss": 0.8062, + "step": 2540 + }, + { + "epoch": 0.67, + "learning_rate": 1.7750611246943768e-05, + "loss": 0.9328, + "step": 2541 + }, + { + "epoch": 0.67, + "learning_rate": 1.7757596926301082e-05, + "loss": 1.0081, + "step": 2542 + }, + { + "epoch": 0.67, + "learning_rate": 1.7764582605658403e-05, + "loss": 1.0134, + "step": 2543 + }, + { + "epoch": 0.67, + "learning_rate": 1.7771568285015718e-05, + "loss": 0.9765, + "step": 2544 + }, + { + "epoch": 0.67, + "learning_rate": 1.777855396437304e-05, + "loss": 0.8905, + "step": 2545 + }, + { + "epoch": 0.67, + "learning_rate": 1.7785539643730353e-05, + "loss": 1.0939, + "step": 2546 + }, + { + "epoch": 0.67, + "learning_rate": 1.779252532308767e-05, + "loss": 0.7575, + "step": 2547 + }, + { + "epoch": 0.67, + "learning_rate": 1.779951100244499e-05, + "loss": 1.0929, + "step": 2548 + }, + { + "epoch": 0.67, + "learning_rate": 1.7806496681802307e-05, + "loss": 0.8689, + "step": 2549 + }, + { + "epoch": 0.67, + "learning_rate": 1.7813482361159625e-05, + "loss": 1.0038, + "step": 2550 + }, + { + "epoch": 0.67, + "learning_rate": 1.7820468040516943e-05, + "loss": 0.9786, + "step": 2551 + }, + { + "epoch": 0.67, + "learning_rate": 1.782745371987426e-05, + "loss": 0.7902, + "step": 2552 + }, + { + "epoch": 0.67, + "learning_rate": 1.7834439399231575e-05, + "loss": 0.9392, + "step": 2553 + }, + { + "epoch": 0.67, + "learning_rate": 1.7841425078588896e-05, + "loss": 0.7647, + "step": 2554 + }, + { + "epoch": 0.67, + "learning_rate": 1.784841075794621e-05, + "loss": 0.8846, + "step": 2555 + }, + { + "epoch": 0.67, + "learning_rate": 1.7855396437303528e-05, + "loss": 0.8237, + "step": 2556 + }, + { + "epoch": 0.67, + "learning_rate": 1.7862382116660846e-05, + "loss": 0.9746, + "step": 2557 + }, + { + "epoch": 0.67, + "learning_rate": 1.7869367796018164e-05, + "loss": 0.8829, + "step": 2558 + }, + { + "epoch": 0.67, + "learning_rate": 1.787635347537548e-05, + "loss": 1.0753, + "step": 2559 + }, + { + "epoch": 0.67, + "learning_rate": 1.78833391547328e-05, + "loss": 1.1609, + "step": 2560 + }, + { + "epoch": 0.67, + "learning_rate": 1.7890324834090117e-05, + "loss": 0.836, + "step": 2561 + }, + { + "epoch": 0.67, + "learning_rate": 1.7897310513447435e-05, + "loss": 1.0712, + "step": 2562 + }, + { + "epoch": 0.67, + "learning_rate": 1.790429619280475e-05, + "loss": 0.8608, + "step": 2563 + }, + { + "epoch": 0.67, + "learning_rate": 1.791128187216207e-05, + "loss": 0.7564, + "step": 2564 + }, + { + "epoch": 0.67, + "learning_rate": 1.7918267551519385e-05, + "loss": 0.8994, + "step": 2565 + }, + { + "epoch": 0.67, + "learning_rate": 1.7925253230876706e-05, + "loss": 0.8491, + "step": 2566 + }, + { + "epoch": 0.67, + "learning_rate": 1.793223891023402e-05, + "loss": 0.9804, + "step": 2567 + }, + { + "epoch": 0.67, + "learning_rate": 1.793922458959134e-05, + "loss": 0.873, + "step": 2568 + }, + { + "epoch": 0.67, + "learning_rate": 1.7946210268948656e-05, + "loss": 0.999, + "step": 2569 + }, + { + "epoch": 0.67, + "learning_rate": 1.7953195948305974e-05, + "loss": 0.8908, + "step": 2570 + }, + { + "epoch": 0.67, + "learning_rate": 1.7960181627663292e-05, + "loss": 0.9985, + "step": 2571 + }, + { + "epoch": 0.67, + "learning_rate": 1.796716730702061e-05, + "loss": 0.9113, + "step": 2572 + }, + { + "epoch": 0.67, + "learning_rate": 1.7974152986377928e-05, + "loss": 0.8193, + "step": 2573 + }, + { + "epoch": 0.67, + "learning_rate": 1.7981138665735245e-05, + "loss": 0.8476, + "step": 2574 + }, + { + "epoch": 0.67, + "learning_rate": 1.798812434509256e-05, + "loss": 0.85, + "step": 2575 + }, + { + "epoch": 0.67, + "learning_rate": 1.799511002444988e-05, + "loss": 0.8121, + "step": 2576 + }, + { + "epoch": 0.68, + "learning_rate": 1.8002095703807195e-05, + "loss": 0.8367, + "step": 2577 + }, + { + "epoch": 0.68, + "learning_rate": 1.8009081383164517e-05, + "loss": 0.866, + "step": 2578 + }, + { + "epoch": 0.68, + "learning_rate": 1.801606706252183e-05, + "loss": 0.8312, + "step": 2579 + }, + { + "epoch": 0.68, + "learning_rate": 1.802305274187915e-05, + "loss": 0.9736, + "step": 2580 + }, + { + "epoch": 0.68, + "learning_rate": 1.8030038421236467e-05, + "loss": 0.9664, + "step": 2581 + }, + { + "epoch": 0.68, + "learning_rate": 1.8037024100593785e-05, + "loss": 0.8667, + "step": 2582 + }, + { + "epoch": 0.68, + "learning_rate": 1.8044009779951102e-05, + "loss": 0.8719, + "step": 2583 + }, + { + "epoch": 0.68, + "learning_rate": 1.805099545930842e-05, + "loss": 1.0157, + "step": 2584 + }, + { + "epoch": 0.68, + "learning_rate": 1.8057981138665738e-05, + "loss": 0.8922, + "step": 2585 + }, + { + "epoch": 0.68, + "learning_rate": 1.8064966818023056e-05, + "loss": 0.8374, + "step": 2586 + }, + { + "epoch": 0.68, + "learning_rate": 1.807195249738037e-05, + "loss": 0.8917, + "step": 2587 + }, + { + "epoch": 0.68, + "learning_rate": 1.8078938176737688e-05, + "loss": 0.8587, + "step": 2588 + }, + { + "epoch": 0.68, + "learning_rate": 1.8085923856095006e-05, + "loss": 0.7796, + "step": 2589 + }, + { + "epoch": 0.68, + "learning_rate": 1.8092909535452324e-05, + "loss": 0.7786, + "step": 2590 + }, + { + "epoch": 0.68, + "learning_rate": 1.809989521480964e-05, + "loss": 0.8496, + "step": 2591 + }, + { + "epoch": 0.68, + "learning_rate": 1.810688089416696e-05, + "loss": 0.9464, + "step": 2592 + }, + { + "epoch": 0.68, + "learning_rate": 1.8113866573524277e-05, + "loss": 1.0406, + "step": 2593 + }, + { + "epoch": 0.68, + "learning_rate": 1.8120852252881595e-05, + "loss": 1.031, + "step": 2594 + }, + { + "epoch": 0.68, + "learning_rate": 1.8127837932238913e-05, + "loss": 0.7873, + "step": 2595 + }, + { + "epoch": 0.68, + "learning_rate": 1.8134823611596227e-05, + "loss": 1.0256, + "step": 2596 + }, + { + "epoch": 0.68, + "learning_rate": 1.814180929095355e-05, + "loss": 0.7608, + "step": 2597 + }, + { + "epoch": 0.68, + "learning_rate": 1.8148794970310863e-05, + "loss": 0.8322, + "step": 2598 + }, + { + "epoch": 0.68, + "learning_rate": 1.815578064966818e-05, + "loss": 0.8935, + "step": 2599 + }, + { + "epoch": 0.68, + "learning_rate": 1.81627663290255e-05, + "loss": 0.9545, + "step": 2600 + }, + { + "epoch": 0.68, + "learning_rate": 1.8169752008382816e-05, + "loss": 0.9542, + "step": 2601 + }, + { + "epoch": 0.68, + "learning_rate": 1.8176737687740134e-05, + "loss": 0.9325, + "step": 2602 + }, + { + "epoch": 0.68, + "learning_rate": 1.8183723367097452e-05, + "loss": 0.9344, + "step": 2603 + }, + { + "epoch": 0.68, + "learning_rate": 1.819070904645477e-05, + "loss": 0.7275, + "step": 2604 + }, + { + "epoch": 0.68, + "learning_rate": 1.8197694725812087e-05, + "loss": 0.7673, + "step": 2605 + }, + { + "epoch": 0.68, + "learning_rate": 1.8204680405169405e-05, + "loss": 0.8682, + "step": 2606 + }, + { + "epoch": 0.68, + "learning_rate": 1.8211666084526723e-05, + "loss": 0.9895, + "step": 2607 + }, + { + "epoch": 0.68, + "learning_rate": 1.8218651763884037e-05, + "loss": 0.8291, + "step": 2608 + }, + { + "epoch": 0.68, + "learning_rate": 1.822563744324136e-05, + "loss": 0.9603, + "step": 2609 + }, + { + "epoch": 0.68, + "learning_rate": 1.8232623122598673e-05, + "loss": 0.9517, + "step": 2610 + }, + { + "epoch": 0.68, + "learning_rate": 1.823960880195599e-05, + "loss": 0.9838, + "step": 2611 + }, + { + "epoch": 0.68, + "learning_rate": 1.824659448131331e-05, + "loss": 0.7107, + "step": 2612 + }, + { + "epoch": 0.68, + "learning_rate": 1.8253580160670627e-05, + "loss": 0.8315, + "step": 2613 + }, + { + "epoch": 0.68, + "learning_rate": 1.8260565840027944e-05, + "loss": 0.9254, + "step": 2614 + }, + { + "epoch": 0.69, + "learning_rate": 1.8267551519385262e-05, + "loss": 1.0074, + "step": 2615 + }, + { + "epoch": 0.69, + "learning_rate": 1.827453719874258e-05, + "loss": 0.9729, + "step": 2616 + }, + { + "epoch": 0.69, + "learning_rate": 1.8281522878099898e-05, + "loss": 0.8193, + "step": 2617 + }, + { + "epoch": 0.69, + "learning_rate": 1.8288508557457216e-05, + "loss": 0.7222, + "step": 2618 + }, + { + "epoch": 0.69, + "learning_rate": 1.8295494236814533e-05, + "loss": 0.9538, + "step": 2619 + }, + { + "epoch": 0.69, + "learning_rate": 1.8302479916171848e-05, + "loss": 1.0389, + "step": 2620 + }, + { + "epoch": 0.69, + "learning_rate": 1.830946559552917e-05, + "loss": 0.9608, + "step": 2621 + }, + { + "epoch": 0.69, + "learning_rate": 1.8316451274886483e-05, + "loss": 0.9788, + "step": 2622 + }, + { + "epoch": 0.69, + "learning_rate": 1.83234369542438e-05, + "loss": 0.8732, + "step": 2623 + }, + { + "epoch": 0.69, + "learning_rate": 1.833042263360112e-05, + "loss": 0.8933, + "step": 2624 + }, + { + "epoch": 0.69, + "learning_rate": 1.8337408312958437e-05, + "loss": 1.0387, + "step": 2625 + }, + { + "epoch": 0.69, + "learning_rate": 1.8344393992315755e-05, + "loss": 0.8681, + "step": 2626 + }, + { + "epoch": 0.69, + "learning_rate": 1.835137967167307e-05, + "loss": 0.9288, + "step": 2627 + }, + { + "epoch": 0.69, + "learning_rate": 1.835836535103039e-05, + "loss": 0.8898, + "step": 2628 + }, + { + "epoch": 0.69, + "learning_rate": 1.8365351030387705e-05, + "loss": 0.9083, + "step": 2629 + }, + { + "epoch": 0.69, + "learning_rate": 1.8372336709745026e-05, + "loss": 0.8826, + "step": 2630 + }, + { + "epoch": 0.69, + "learning_rate": 1.837932238910234e-05, + "loss": 0.9513, + "step": 2631 + }, + { + "epoch": 0.69, + "learning_rate": 1.8386308068459658e-05, + "loss": 0.7785, + "step": 2632 + }, + { + "epoch": 0.69, + "learning_rate": 1.8393293747816976e-05, + "loss": 0.8187, + "step": 2633 + }, + { + "epoch": 0.69, + "learning_rate": 1.8400279427174294e-05, + "loss": 0.8217, + "step": 2634 + }, + { + "epoch": 0.69, + "learning_rate": 1.840726510653161e-05, + "loss": 1.1253, + "step": 2635 + }, + { + "epoch": 0.69, + "learning_rate": 1.841425078588893e-05, + "loss": 0.759, + "step": 2636 + }, + { + "epoch": 0.69, + "learning_rate": 1.8421236465246247e-05, + "loss": 1.0305, + "step": 2637 + }, + { + "epoch": 0.69, + "learning_rate": 1.8428222144603565e-05, + "loss": 0.7421, + "step": 2638 + }, + { + "epoch": 0.69, + "learning_rate": 1.843520782396088e-05, + "loss": 0.9293, + "step": 2639 + }, + { + "epoch": 0.69, + "learning_rate": 1.84421935033182e-05, + "loss": 0.6587, + "step": 2640 + }, + { + "epoch": 0.69, + "learning_rate": 1.8449179182675515e-05, + "loss": 0.826, + "step": 2641 + }, + { + "epoch": 0.69, + "learning_rate": 1.8456164862032836e-05, + "loss": 0.9407, + "step": 2642 + }, + { + "epoch": 0.69, + "learning_rate": 1.846315054139015e-05, + "loss": 0.8789, + "step": 2643 + }, + { + "epoch": 0.69, + "learning_rate": 1.847013622074747e-05, + "loss": 0.8372, + "step": 2644 + }, + { + "epoch": 0.69, + "learning_rate": 1.8477121900104786e-05, + "loss": 1.007, + "step": 2645 + }, + { + "epoch": 0.69, + "learning_rate": 1.8484107579462104e-05, + "loss": 0.9428, + "step": 2646 + }, + { + "epoch": 0.69, + "learning_rate": 1.8491093258819422e-05, + "loss": 0.784, + "step": 2647 + }, + { + "epoch": 0.69, + "learning_rate": 1.849807893817674e-05, + "loss": 1.0504, + "step": 2648 + }, + { + "epoch": 0.69, + "learning_rate": 1.8505064617534058e-05, + "loss": 0.8113, + "step": 2649 + }, + { + "epoch": 0.69, + "learning_rate": 1.8512050296891375e-05, + "loss": 0.7734, + "step": 2650 + }, + { + "epoch": 0.69, + "learning_rate": 1.8519035976248693e-05, + "loss": 0.8592, + "step": 2651 + }, + { + "epoch": 0.69, + "learning_rate": 1.852602165560601e-05, + "loss": 0.9181, + "step": 2652 + }, + { + "epoch": 0.69, + "learning_rate": 1.8533007334963325e-05, + "loss": 0.7936, + "step": 2653 + }, + { + "epoch": 0.7, + "learning_rate": 1.8539993014320647e-05, + "loss": 0.7898, + "step": 2654 + }, + { + "epoch": 0.7, + "learning_rate": 1.854697869367796e-05, + "loss": 0.7256, + "step": 2655 + }, + { + "epoch": 0.7, + "learning_rate": 1.855396437303528e-05, + "loss": 0.9396, + "step": 2656 + }, + { + "epoch": 0.7, + "learning_rate": 1.8560950052392597e-05, + "loss": 1.0459, + "step": 2657 + }, + { + "epoch": 0.7, + "learning_rate": 1.8567935731749915e-05, + "loss": 0.8495, + "step": 2658 + }, + { + "epoch": 0.7, + "learning_rate": 1.8574921411107232e-05, + "loss": 0.7849, + "step": 2659 + }, + { + "epoch": 0.7, + "learning_rate": 1.8581907090464547e-05, + "loss": 0.8418, + "step": 2660 + }, + { + "epoch": 0.7, + "learning_rate": 1.8588892769821868e-05, + "loss": 0.8431, + "step": 2661 + }, + { + "epoch": 0.7, + "learning_rate": 1.8595878449179182e-05, + "loss": 0.8823, + "step": 2662 + }, + { + "epoch": 0.7, + "learning_rate": 1.8602864128536504e-05, + "loss": 0.8484, + "step": 2663 + }, + { + "epoch": 0.7, + "learning_rate": 1.8609849807893818e-05, + "loss": 0.9379, + "step": 2664 + }, + { + "epoch": 0.7, + "learning_rate": 1.8616835487251136e-05, + "loss": 0.8137, + "step": 2665 + }, + { + "epoch": 0.7, + "learning_rate": 1.8623821166608454e-05, + "loss": 0.8271, + "step": 2666 + }, + { + "epoch": 0.7, + "learning_rate": 1.863080684596577e-05, + "loss": 0.7238, + "step": 2667 + }, + { + "epoch": 0.7, + "learning_rate": 1.863779252532309e-05, + "loss": 0.9286, + "step": 2668 + }, + { + "epoch": 0.7, + "learning_rate": 1.8644778204680407e-05, + "loss": 0.8361, + "step": 2669 + }, + { + "epoch": 0.7, + "learning_rate": 1.8651763884037725e-05, + "loss": 0.8819, + "step": 2670 + }, + { + "epoch": 0.7, + "learning_rate": 1.8658749563395043e-05, + "loss": 0.8923, + "step": 2671 + }, + { + "epoch": 0.7, + "learning_rate": 1.8665735242752357e-05, + "loss": 1.1812, + "step": 2672 + }, + { + "epoch": 0.7, + "learning_rate": 1.867272092210968e-05, + "loss": 1.0171, + "step": 2673 + }, + { + "epoch": 0.7, + "learning_rate": 1.8679706601466993e-05, + "loss": 0.9213, + "step": 2674 + }, + { + "epoch": 0.7, + "learning_rate": 1.8686692280824314e-05, + "loss": 1.2219, + "step": 2675 + }, + { + "epoch": 0.7, + "learning_rate": 1.869367796018163e-05, + "loss": 0.8744, + "step": 2676 + }, + { + "epoch": 0.7, + "learning_rate": 1.8700663639538946e-05, + "loss": 0.9625, + "step": 2677 + }, + { + "epoch": 0.7, + "learning_rate": 1.8707649318896264e-05, + "loss": 0.8417, + "step": 2678 + }, + { + "epoch": 0.7, + "learning_rate": 1.8714634998253582e-05, + "loss": 0.8391, + "step": 2679 + }, + { + "epoch": 0.7, + "learning_rate": 1.87216206776109e-05, + "loss": 0.8763, + "step": 2680 + }, + { + "epoch": 0.7, + "learning_rate": 1.8728606356968217e-05, + "loss": 0.7948, + "step": 2681 + }, + { + "epoch": 0.7, + "learning_rate": 1.8735592036325535e-05, + "loss": 0.9, + "step": 2682 + }, + { + "epoch": 0.7, + "learning_rate": 1.8742577715682853e-05, + "loss": 1.0221, + "step": 2683 + }, + { + "epoch": 0.7, + "learning_rate": 1.8749563395040167e-05, + "loss": 0.8967, + "step": 2684 + }, + { + "epoch": 0.7, + "learning_rate": 1.875654907439749e-05, + "loss": 0.9053, + "step": 2685 + }, + { + "epoch": 0.7, + "learning_rate": 1.8763534753754803e-05, + "loss": 1.1107, + "step": 2686 + }, + { + "epoch": 0.7, + "learning_rate": 1.8770520433112124e-05, + "loss": 0.9668, + "step": 2687 + }, + { + "epoch": 0.7, + "learning_rate": 1.877750611246944e-05, + "loss": 0.894, + "step": 2688 + }, + { + "epoch": 0.7, + "learning_rate": 1.8784491791826757e-05, + "loss": 0.936, + "step": 2689 + }, + { + "epoch": 0.7, + "learning_rate": 1.8791477471184074e-05, + "loss": 0.8672, + "step": 2690 + }, + { + "epoch": 0.7, + "learning_rate": 1.8798463150541392e-05, + "loss": 0.7134, + "step": 2691 + }, + { + "epoch": 0.71, + "learning_rate": 1.880544882989871e-05, + "loss": 0.9701, + "step": 2692 + }, + { + "epoch": 0.71, + "learning_rate": 1.8812434509256024e-05, + "loss": 0.9069, + "step": 2693 + }, + { + "epoch": 0.71, + "learning_rate": 1.8819420188613346e-05, + "loss": 0.9043, + "step": 2694 + }, + { + "epoch": 0.71, + "learning_rate": 1.882640586797066e-05, + "loss": 1.0907, + "step": 2695 + }, + { + "epoch": 0.71, + "learning_rate": 1.8833391547327978e-05, + "loss": 0.99, + "step": 2696 + }, + { + "epoch": 0.71, + "learning_rate": 1.8840377226685296e-05, + "loss": 0.8459, + "step": 2697 + }, + { + "epoch": 0.71, + "learning_rate": 1.8847362906042613e-05, + "loss": 1.0868, + "step": 2698 + }, + { + "epoch": 0.71, + "learning_rate": 1.885434858539993e-05, + "loss": 0.7584, + "step": 2699 + }, + { + "epoch": 0.71, + "learning_rate": 1.886133426475725e-05, + "loss": 0.8516, + "step": 2700 + }, + { + "epoch": 0.71, + "learning_rate": 1.8868319944114567e-05, + "loss": 0.9301, + "step": 2701 + }, + { + "epoch": 0.71, + "learning_rate": 1.8875305623471885e-05, + "loss": 0.9975, + "step": 2702 + }, + { + "epoch": 0.71, + "learning_rate": 1.8882291302829203e-05, + "loss": 0.8486, + "step": 2703 + }, + { + "epoch": 0.71, + "learning_rate": 1.888927698218652e-05, + "loss": 0.8305, + "step": 2704 + }, + { + "epoch": 0.71, + "learning_rate": 1.8896262661543835e-05, + "loss": 1.1364, + "step": 2705 + }, + { + "epoch": 0.71, + "learning_rate": 1.8903248340901156e-05, + "loss": 0.8401, + "step": 2706 + }, + { + "epoch": 0.71, + "learning_rate": 1.891023402025847e-05, + "loss": 0.8813, + "step": 2707 + }, + { + "epoch": 0.71, + "learning_rate": 1.8917219699615788e-05, + "loss": 0.9249, + "step": 2708 + }, + { + "epoch": 0.71, + "learning_rate": 1.8924205378973106e-05, + "loss": 0.8602, + "step": 2709 + }, + { + "epoch": 0.71, + "learning_rate": 1.8931191058330424e-05, + "loss": 0.8413, + "step": 2710 + }, + { + "epoch": 0.71, + "learning_rate": 1.893817673768774e-05, + "loss": 0.8734, + "step": 2711 + }, + { + "epoch": 0.71, + "learning_rate": 1.894516241704506e-05, + "loss": 0.6723, + "step": 2712 + }, + { + "epoch": 0.71, + "learning_rate": 1.8952148096402377e-05, + "loss": 0.822, + "step": 2713 + }, + { + "epoch": 0.71, + "learning_rate": 1.8959133775759695e-05, + "loss": 0.9356, + "step": 2714 + }, + { + "epoch": 0.71, + "learning_rate": 1.8966119455117013e-05, + "loss": 0.9448, + "step": 2715 + }, + { + "epoch": 0.71, + "learning_rate": 1.897310513447433e-05, + "loss": 0.8497, + "step": 2716 + }, + { + "epoch": 0.71, + "learning_rate": 1.8980090813831645e-05, + "loss": 0.8443, + "step": 2717 + }, + { + "epoch": 0.71, + "learning_rate": 1.8987076493188966e-05, + "loss": 1.0001, + "step": 2718 + }, + { + "epoch": 0.71, + "learning_rate": 1.899406217254628e-05, + "loss": 0.798, + "step": 2719 + }, + { + "epoch": 0.71, + "learning_rate": 1.90010478519036e-05, + "loss": 0.7786, + "step": 2720 + }, + { + "epoch": 0.71, + "learning_rate": 1.9008033531260916e-05, + "loss": 1.1532, + "step": 2721 + }, + { + "epoch": 0.71, + "learning_rate": 1.9015019210618234e-05, + "loss": 0.8448, + "step": 2722 + }, + { + "epoch": 0.71, + "learning_rate": 1.9022004889975552e-05, + "loss": 0.9118, + "step": 2723 + }, + { + "epoch": 0.71, + "learning_rate": 1.902899056933287e-05, + "loss": 0.8587, + "step": 2724 + }, + { + "epoch": 0.71, + "learning_rate": 1.9035976248690188e-05, + "loss": 0.9603, + "step": 2725 + }, + { + "epoch": 0.71, + "learning_rate": 1.9042961928047502e-05, + "loss": 0.8375, + "step": 2726 + }, + { + "epoch": 0.71, + "learning_rate": 1.9049947607404823e-05, + "loss": 0.9179, + "step": 2727 + }, + { + "epoch": 0.71, + "learning_rate": 1.9056933286762138e-05, + "loss": 1.0042, + "step": 2728 + }, + { + "epoch": 0.71, + "learning_rate": 1.9063918966119455e-05, + "loss": 1.0237, + "step": 2729 + }, + { + "epoch": 0.72, + "learning_rate": 1.9070904645476773e-05, + "loss": 1.0467, + "step": 2730 + }, + { + "epoch": 0.72, + "learning_rate": 1.907789032483409e-05, + "loss": 0.9742, + "step": 2731 + }, + { + "epoch": 0.72, + "learning_rate": 1.908487600419141e-05, + "loss": 0.9982, + "step": 2732 + }, + { + "epoch": 0.72, + "learning_rate": 1.9091861683548727e-05, + "loss": 0.9217, + "step": 2733 + }, + { + "epoch": 0.72, + "learning_rate": 1.9098847362906045e-05, + "loss": 0.8167, + "step": 2734 + }, + { + "epoch": 0.72, + "learning_rate": 1.9105833042263362e-05, + "loss": 0.8505, + "step": 2735 + }, + { + "epoch": 0.72, + "learning_rate": 1.9112818721620677e-05, + "loss": 0.9368, + "step": 2736 + }, + { + "epoch": 0.72, + "learning_rate": 1.9119804400977998e-05, + "loss": 1.028, + "step": 2737 + }, + { + "epoch": 0.72, + "learning_rate": 1.9126790080335312e-05, + "loss": 0.9855, + "step": 2738 + }, + { + "epoch": 0.72, + "learning_rate": 1.9133775759692634e-05, + "loss": 0.6985, + "step": 2739 + }, + { + "epoch": 0.72, + "learning_rate": 1.9140761439049948e-05, + "loss": 0.9402, + "step": 2740 + }, + { + "epoch": 0.72, + "learning_rate": 1.9147747118407266e-05, + "loss": 0.7885, + "step": 2741 + }, + { + "epoch": 0.72, + "learning_rate": 1.9154732797764584e-05, + "loss": 0.9504, + "step": 2742 + }, + { + "epoch": 0.72, + "learning_rate": 1.91617184771219e-05, + "loss": 0.9076, + "step": 2743 + }, + { + "epoch": 0.72, + "learning_rate": 1.916870415647922e-05, + "loss": 0.8917, + "step": 2744 + }, + { + "epoch": 0.72, + "learning_rate": 1.9175689835836537e-05, + "loss": 0.9434, + "step": 2745 + }, + { + "epoch": 0.72, + "learning_rate": 1.9182675515193855e-05, + "loss": 0.756, + "step": 2746 + }, + { + "epoch": 0.72, + "learning_rate": 1.9189661194551173e-05, + "loss": 0.8557, + "step": 2747 + }, + { + "epoch": 0.72, + "learning_rate": 1.9196646873908487e-05, + "loss": 1.0243, + "step": 2748 + }, + { + "epoch": 0.72, + "learning_rate": 1.920363255326581e-05, + "loss": 0.756, + "step": 2749 + }, + { + "epoch": 0.72, + "learning_rate": 1.9210618232623123e-05, + "loss": 0.7825, + "step": 2750 + }, + { + "epoch": 0.72, + "learning_rate": 1.9217603911980444e-05, + "loss": 0.9209, + "step": 2751 + }, + { + "epoch": 0.72, + "learning_rate": 1.922458959133776e-05, + "loss": 0.722, + "step": 2752 + }, + { + "epoch": 0.72, + "learning_rate": 1.9231575270695076e-05, + "loss": 0.9341, + "step": 2753 + }, + { + "epoch": 0.72, + "learning_rate": 1.9238560950052394e-05, + "loss": 0.9718, + "step": 2754 + }, + { + "epoch": 0.72, + "learning_rate": 1.9245546629409712e-05, + "loss": 1.0149, + "step": 2755 + }, + { + "epoch": 0.72, + "learning_rate": 1.925253230876703e-05, + "loss": 0.8747, + "step": 2756 + }, + { + "epoch": 0.72, + "learning_rate": 1.9259517988124347e-05, + "loss": 1.1145, + "step": 2757 + }, + { + "epoch": 0.72, + "learning_rate": 1.9266503667481665e-05, + "loss": 0.9497, + "step": 2758 + }, + { + "epoch": 0.72, + "learning_rate": 1.9273489346838983e-05, + "loss": 0.8919, + "step": 2759 + }, + { + "epoch": 0.72, + "learning_rate": 1.92804750261963e-05, + "loss": 1.0226, + "step": 2760 + }, + { + "epoch": 0.72, + "learning_rate": 1.9287460705553615e-05, + "loss": 0.8852, + "step": 2761 + }, + { + "epoch": 0.72, + "learning_rate": 1.9294446384910933e-05, + "loss": 0.8251, + "step": 2762 + }, + { + "epoch": 0.72, + "learning_rate": 1.930143206426825e-05, + "loss": 0.7083, + "step": 2763 + }, + { + "epoch": 0.72, + "learning_rate": 1.930841774362557e-05, + "loss": 1.0907, + "step": 2764 + }, + { + "epoch": 0.72, + "learning_rate": 1.9315403422982887e-05, + "loss": 0.8219, + "step": 2765 + }, + { + "epoch": 0.72, + "learning_rate": 1.9322389102340204e-05, + "loss": 0.8435, + "step": 2766 + }, + { + "epoch": 0.72, + "learning_rate": 1.9329374781697522e-05, + "loss": 0.9056, + "step": 2767 + }, + { + "epoch": 0.73, + "learning_rate": 1.933636046105484e-05, + "loss": 0.8545, + "step": 2768 + }, + { + "epoch": 0.73, + "learning_rate": 1.9343346140412154e-05, + "loss": 0.7598, + "step": 2769 + }, + { + "epoch": 0.73, + "learning_rate": 1.9350331819769476e-05, + "loss": 0.8648, + "step": 2770 + }, + { + "epoch": 0.73, + "learning_rate": 1.935731749912679e-05, + "loss": 0.9574, + "step": 2771 + }, + { + "epoch": 0.73, + "learning_rate": 1.936430317848411e-05, + "loss": 0.9193, + "step": 2772 + }, + { + "epoch": 0.73, + "learning_rate": 1.9371288857841426e-05, + "loss": 0.7608, + "step": 2773 + }, + { + "epoch": 0.73, + "learning_rate": 1.9378274537198743e-05, + "loss": 0.9479, + "step": 2774 + }, + { + "epoch": 0.73, + "learning_rate": 1.938526021655606e-05, + "loss": 1.0517, + "step": 2775 + }, + { + "epoch": 0.73, + "learning_rate": 1.939224589591338e-05, + "loss": 0.8464, + "step": 2776 + }, + { + "epoch": 0.73, + "learning_rate": 1.9399231575270697e-05, + "loss": 0.8445, + "step": 2777 + }, + { + "epoch": 0.73, + "learning_rate": 1.9406217254628015e-05, + "loss": 0.958, + "step": 2778 + }, + { + "epoch": 0.73, + "learning_rate": 1.9413202933985333e-05, + "loss": 0.8113, + "step": 2779 + }, + { + "epoch": 0.73, + "learning_rate": 1.942018861334265e-05, + "loss": 0.9576, + "step": 2780 + }, + { + "epoch": 0.73, + "learning_rate": 1.9427174292699965e-05, + "loss": 0.9036, + "step": 2781 + }, + { + "epoch": 0.73, + "learning_rate": 1.9434159972057286e-05, + "loss": 0.8628, + "step": 2782 + }, + { + "epoch": 0.73, + "learning_rate": 1.94411456514146e-05, + "loss": 0.9093, + "step": 2783 + }, + { + "epoch": 0.73, + "learning_rate": 1.944813133077192e-05, + "loss": 0.8242, + "step": 2784 + }, + { + "epoch": 0.73, + "learning_rate": 1.9455117010129236e-05, + "loss": 0.9248, + "step": 2785 + }, + { + "epoch": 0.73, + "learning_rate": 1.9462102689486554e-05, + "loss": 0.6811, + "step": 2786 + }, + { + "epoch": 0.73, + "learning_rate": 1.946908836884387e-05, + "loss": 0.7633, + "step": 2787 + }, + { + "epoch": 0.73, + "learning_rate": 1.947607404820119e-05, + "loss": 0.9027, + "step": 2788 + }, + { + "epoch": 0.73, + "learning_rate": 1.9483059727558507e-05, + "loss": 0.8938, + "step": 2789 + }, + { + "epoch": 0.73, + "learning_rate": 1.9490045406915825e-05, + "loss": 0.9531, + "step": 2790 + }, + { + "epoch": 0.73, + "learning_rate": 1.9497031086273143e-05, + "loss": 0.8209, + "step": 2791 + }, + { + "epoch": 0.73, + "learning_rate": 1.950401676563046e-05, + "loss": 0.8595, + "step": 2792 + }, + { + "epoch": 0.73, + "learning_rate": 1.9511002444987775e-05, + "loss": 0.7591, + "step": 2793 + }, + { + "epoch": 0.73, + "learning_rate": 1.9517988124345096e-05, + "loss": 1.0327, + "step": 2794 + }, + { + "epoch": 0.73, + "learning_rate": 1.952497380370241e-05, + "loss": 0.7643, + "step": 2795 + }, + { + "epoch": 0.73, + "learning_rate": 1.953195948305973e-05, + "loss": 0.7925, + "step": 2796 + }, + { + "epoch": 0.73, + "learning_rate": 1.9538945162417046e-05, + "loss": 0.7798, + "step": 2797 + }, + { + "epoch": 0.73, + "learning_rate": 1.9545930841774364e-05, + "loss": 0.7856, + "step": 2798 + }, + { + "epoch": 0.73, + "learning_rate": 1.9552916521131682e-05, + "loss": 0.9514, + "step": 2799 + }, + { + "epoch": 0.73, + "learning_rate": 1.9559902200489e-05, + "loss": 0.8151, + "step": 2800 + }, + { + "epoch": 0.73, + "learning_rate": 1.9566887879846318e-05, + "loss": 0.9479, + "step": 2801 + }, + { + "epoch": 0.73, + "learning_rate": 1.9573873559203632e-05, + "loss": 0.8355, + "step": 2802 + }, + { + "epoch": 0.73, + "learning_rate": 1.9580859238560953e-05, + "loss": 0.906, + "step": 2803 + }, + { + "epoch": 0.73, + "learning_rate": 1.9587844917918268e-05, + "loss": 0.8575, + "step": 2804 + }, + { + "epoch": 0.73, + "learning_rate": 1.9594830597275585e-05, + "loss": 0.7653, + "step": 2805 + }, + { + "epoch": 0.74, + "learning_rate": 1.9601816276632903e-05, + "loss": 0.9879, + "step": 2806 + }, + { + "epoch": 0.74, + "learning_rate": 1.960880195599022e-05, + "loss": 1.0, + "step": 2807 + }, + { + "epoch": 0.74, + "learning_rate": 1.961578763534754e-05, + "loss": 0.818, + "step": 2808 + }, + { + "epoch": 0.74, + "learning_rate": 1.9622773314704857e-05, + "loss": 0.8111, + "step": 2809 + }, + { + "epoch": 0.74, + "learning_rate": 1.9629758994062175e-05, + "loss": 0.967, + "step": 2810 + }, + { + "epoch": 0.74, + "learning_rate": 1.9636744673419492e-05, + "loss": 0.8543, + "step": 2811 + }, + { + "epoch": 0.74, + "learning_rate": 1.964373035277681e-05, + "loss": 0.8419, + "step": 2812 + }, + { + "epoch": 0.74, + "learning_rate": 1.9650716032134128e-05, + "loss": 0.7228, + "step": 2813 + }, + { + "epoch": 0.74, + "learning_rate": 1.9657701711491442e-05, + "loss": 0.8093, + "step": 2814 + }, + { + "epoch": 0.74, + "learning_rate": 1.9664687390848764e-05, + "loss": 0.9412, + "step": 2815 + }, + { + "epoch": 0.74, + "learning_rate": 1.9671673070206078e-05, + "loss": 0.9106, + "step": 2816 + }, + { + "epoch": 0.74, + "learning_rate": 1.9678658749563396e-05, + "loss": 0.7721, + "step": 2817 + }, + { + "epoch": 0.74, + "learning_rate": 1.9685644428920714e-05, + "loss": 0.8408, + "step": 2818 + }, + { + "epoch": 0.74, + "learning_rate": 1.969263010827803e-05, + "loss": 0.8882, + "step": 2819 + }, + { + "epoch": 0.74, + "learning_rate": 1.969961578763535e-05, + "loss": 0.903, + "step": 2820 + }, + { + "epoch": 0.74, + "learning_rate": 1.9706601466992667e-05, + "loss": 0.9404, + "step": 2821 + }, + { + "epoch": 0.74, + "learning_rate": 1.9713587146349985e-05, + "loss": 0.8791, + "step": 2822 + }, + { + "epoch": 0.74, + "learning_rate": 1.9720572825707303e-05, + "loss": 0.855, + "step": 2823 + }, + { + "epoch": 0.74, + "learning_rate": 1.972755850506462e-05, + "loss": 0.9824, + "step": 2824 + }, + { + "epoch": 0.74, + "learning_rate": 1.973454418442194e-05, + "loss": 1.0503, + "step": 2825 + }, + { + "epoch": 0.74, + "learning_rate": 1.9741529863779253e-05, + "loss": 1.0127, + "step": 2826 + }, + { + "epoch": 0.74, + "learning_rate": 1.9748515543136574e-05, + "loss": 1.0268, + "step": 2827 + }, + { + "epoch": 0.74, + "learning_rate": 1.975550122249389e-05, + "loss": 1.0205, + "step": 2828 + }, + { + "epoch": 0.74, + "learning_rate": 1.9762486901851206e-05, + "loss": 0.6864, + "step": 2829 + }, + { + "epoch": 0.74, + "learning_rate": 1.9769472581208524e-05, + "loss": 0.726, + "step": 2830 + }, + { + "epoch": 0.74, + "learning_rate": 1.9776458260565842e-05, + "loss": 0.8573, + "step": 2831 + }, + { + "epoch": 0.74, + "learning_rate": 1.978344393992316e-05, + "loss": 1.0642, + "step": 2832 + }, + { + "epoch": 0.74, + "learning_rate": 1.9790429619280474e-05, + "loss": 0.7985, + "step": 2833 + }, + { + "epoch": 0.74, + "learning_rate": 1.9797415298637795e-05, + "loss": 0.699, + "step": 2834 + }, + { + "epoch": 0.74, + "learning_rate": 1.980440097799511e-05, + "loss": 0.9945, + "step": 2835 + }, + { + "epoch": 0.74, + "learning_rate": 1.981138665735243e-05, + "loss": 0.9485, + "step": 2836 + }, + { + "epoch": 0.74, + "learning_rate": 1.9818372336709745e-05, + "loss": 1.0347, + "step": 2837 + }, + { + "epoch": 0.74, + "learning_rate": 1.9825358016067063e-05, + "loss": 0.855, + "step": 2838 + }, + { + "epoch": 0.74, + "learning_rate": 1.983234369542438e-05, + "loss": 1.1487, + "step": 2839 + }, + { + "epoch": 0.74, + "learning_rate": 1.98393293747817e-05, + "loss": 0.7844, + "step": 2840 + }, + { + "epoch": 0.74, + "learning_rate": 1.9846315054139017e-05, + "loss": 0.9339, + "step": 2841 + }, + { + "epoch": 0.74, + "learning_rate": 1.9853300733496334e-05, + "loss": 0.8661, + "step": 2842 + }, + { + "epoch": 0.74, + "learning_rate": 1.9860286412853652e-05, + "loss": 1.0204, + "step": 2843 + }, + { + "epoch": 0.74, + "learning_rate": 1.986727209221097e-05, + "loss": 0.8238, + "step": 2844 + }, + { + "epoch": 0.75, + "learning_rate": 1.9874257771568284e-05, + "loss": 1.0459, + "step": 2845 + }, + { + "epoch": 0.75, + "learning_rate": 1.9881243450925606e-05, + "loss": 0.9648, + "step": 2846 + }, + { + "epoch": 0.75, + "learning_rate": 1.988822913028292e-05, + "loss": 0.6355, + "step": 2847 + }, + { + "epoch": 0.75, + "learning_rate": 1.989521480964024e-05, + "loss": 0.6523, + "step": 2848 + }, + { + "epoch": 0.75, + "learning_rate": 1.9902200488997556e-05, + "loss": 0.9531, + "step": 2849 + }, + { + "epoch": 0.75, + "learning_rate": 1.9909186168354873e-05, + "loss": 0.9089, + "step": 2850 + }, + { + "epoch": 0.75, + "learning_rate": 1.991617184771219e-05, + "loss": 0.906, + "step": 2851 + }, + { + "epoch": 0.75, + "learning_rate": 1.992315752706951e-05, + "loss": 0.8568, + "step": 2852 + }, + { + "epoch": 0.75, + "learning_rate": 1.9930143206426827e-05, + "loss": 0.8547, + "step": 2853 + }, + { + "epoch": 0.75, + "learning_rate": 1.9937128885784145e-05, + "loss": 0.9632, + "step": 2854 + }, + { + "epoch": 0.75, + "learning_rate": 1.9944114565141463e-05, + "loss": 0.8129, + "step": 2855 + }, + { + "epoch": 0.75, + "learning_rate": 1.995110024449878e-05, + "loss": 0.8811, + "step": 2856 + }, + { + "epoch": 0.75, + "learning_rate": 1.9958085923856095e-05, + "loss": 0.8769, + "step": 2857 + }, + { + "epoch": 0.75, + "learning_rate": 1.9965071603213416e-05, + "loss": 0.8693, + "step": 2858 + }, + { + "epoch": 0.75, + "learning_rate": 1.997205728257073e-05, + "loss": 0.7416, + "step": 2859 + }, + { + "epoch": 0.75, + "learning_rate": 1.997904296192805e-05, + "loss": 0.8671, + "step": 2860 + }, + { + "epoch": 0.75, + "learning_rate": 1.9986028641285366e-05, + "loss": 0.9267, + "step": 2861 + }, + { + "epoch": 0.75, + "learning_rate": 1.9993014320642684e-05, + "loss": 0.8566, + "step": 2862 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.8281, + "step": 2863 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999999994240245e-05, + "loss": 0.7701, + "step": 2864 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999999976960966e-05, + "loss": 0.7463, + "step": 2865 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999999948162175e-05, + "loss": 0.9199, + "step": 2866 + }, + { + "epoch": 0.75, + "learning_rate": 1.999999990784386e-05, + "loss": 0.8614, + "step": 2867 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999999856006034e-05, + "loss": 0.9113, + "step": 2868 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999999792648688e-05, + "loss": 0.8545, + "step": 2869 + }, + { + "epoch": 0.75, + "learning_rate": 1.999999971777183e-05, + "loss": 0.9585, + "step": 2870 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999999631375447e-05, + "loss": 0.7884, + "step": 2871 + }, + { + "epoch": 0.75, + "learning_rate": 1.999999953345955e-05, + "loss": 0.8202, + "step": 2872 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999999424024137e-05, + "loss": 0.8345, + "step": 2873 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999999303069207e-05, + "loss": 0.7527, + "step": 2874 + }, + { + "epoch": 0.75, + "learning_rate": 1.999999917059476e-05, + "loss": 0.871, + "step": 2875 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999999026600798e-05, + "loss": 0.8887, + "step": 2876 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999998871087317e-05, + "loss": 1.053, + "step": 2877 + }, + { + "epoch": 0.75, + "learning_rate": 1.999999870405432e-05, + "loss": 0.8391, + "step": 2878 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999998525501808e-05, + "loss": 0.8467, + "step": 2879 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999998335429783e-05, + "loss": 0.8868, + "step": 2880 + }, + { + "epoch": 0.75, + "learning_rate": 1.999999813383824e-05, + "loss": 0.7661, + "step": 2881 + }, + { + "epoch": 0.75, + "learning_rate": 1.9999997920727182e-05, + "loss": 0.7187, + "step": 2882 + }, + { + "epoch": 0.76, + "learning_rate": 1.999999769609661e-05, + "loss": 1.0012, + "step": 2883 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999997459946517e-05, + "loss": 0.9841, + "step": 2884 + }, + { + "epoch": 0.76, + "learning_rate": 1.999999721227692e-05, + "loss": 0.9589, + "step": 2885 + }, + { + "epoch": 0.76, + "learning_rate": 1.99999969530878e-05, + "loss": 1.2283, + "step": 2886 + }, + { + "epoch": 0.76, + "learning_rate": 1.999999668237917e-05, + "loss": 1.1199, + "step": 2887 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999996400151026e-05, + "loss": 0.8228, + "step": 2888 + }, + { + "epoch": 0.76, + "learning_rate": 1.999999610640337e-05, + "loss": 0.8539, + "step": 2889 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999995801136197e-05, + "loss": 0.6324, + "step": 2890 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999995484349517e-05, + "loss": 0.8044, + "step": 2891 + }, + { + "epoch": 0.76, + "learning_rate": 1.999999515604332e-05, + "loss": 0.8048, + "step": 2892 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999994816217613e-05, + "loss": 0.8428, + "step": 2893 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999994464872395e-05, + "loss": 1.1157, + "step": 2894 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999994102007668e-05, + "loss": 0.7931, + "step": 2895 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999993727623425e-05, + "loss": 1.0402, + "step": 2896 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999993341719673e-05, + "loss": 0.8566, + "step": 2897 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999992944296416e-05, + "loss": 0.8349, + "step": 2898 + }, + { + "epoch": 0.76, + "learning_rate": 1.999999253535365e-05, + "loss": 0.8626, + "step": 2899 + }, + { + "epoch": 0.76, + "learning_rate": 1.999999211489137e-05, + "loss": 1.0878, + "step": 2900 + }, + { + "epoch": 0.76, + "learning_rate": 1.999999168290958e-05, + "loss": 0.9839, + "step": 2901 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999991239408286e-05, + "loss": 1.0484, + "step": 2902 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999990784387486e-05, + "loss": 0.9722, + "step": 2903 + }, + { + "epoch": 0.76, + "learning_rate": 1.999999031784718e-05, + "loss": 0.9822, + "step": 2904 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999989839787365e-05, + "loss": 0.8332, + "step": 2905 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999989350208044e-05, + "loss": 0.8035, + "step": 2906 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999988849109217e-05, + "loss": 0.8864, + "step": 2907 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999988336490888e-05, + "loss": 0.9687, + "step": 2908 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999987812353053e-05, + "loss": 0.7308, + "step": 2909 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999987276695716e-05, + "loss": 0.9108, + "step": 2910 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999986729518876e-05, + "loss": 0.9037, + "step": 2911 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999986170822537e-05, + "loss": 0.7308, + "step": 2912 + }, + { + "epoch": 0.76, + "learning_rate": 1.999998560060669e-05, + "loss": 0.9052, + "step": 2913 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999985018871346e-05, + "loss": 0.8786, + "step": 2914 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999984425616503e-05, + "loss": 0.8457, + "step": 2915 + }, + { + "epoch": 0.76, + "learning_rate": 1.999998382084216e-05, + "loss": 0.8604, + "step": 2916 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999983204548314e-05, + "loss": 0.8922, + "step": 2917 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999982576734975e-05, + "loss": 0.8977, + "step": 2918 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999981937402136e-05, + "loss": 0.911, + "step": 2919 + }, + { + "epoch": 0.76, + "learning_rate": 1.9999981286549802e-05, + "loss": 0.9564, + "step": 2920 + }, + { + "epoch": 0.77, + "learning_rate": 1.999998062417797e-05, + "loss": 0.9225, + "step": 2921 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999979950286644e-05, + "loss": 0.75, + "step": 2922 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999979264875823e-05, + "loss": 0.8869, + "step": 2923 + }, + { + "epoch": 0.77, + "learning_rate": 1.999997856794551e-05, + "loss": 0.8093, + "step": 2924 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999977859495704e-05, + "loss": 0.7039, + "step": 2925 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999977139526407e-05, + "loss": 0.8069, + "step": 2926 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999976408037617e-05, + "loss": 0.9909, + "step": 2927 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999975665029338e-05, + "loss": 0.5941, + "step": 2928 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999974910501567e-05, + "loss": 0.8476, + "step": 2929 + }, + { + "epoch": 0.77, + "learning_rate": 1.999997414445431e-05, + "loss": 0.9902, + "step": 2930 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999973366887565e-05, + "loss": 0.7208, + "step": 2931 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999972577801335e-05, + "loss": 0.8603, + "step": 2932 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999971777195615e-05, + "loss": 0.8675, + "step": 2933 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999970965070413e-05, + "loss": 0.853, + "step": 2934 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999970141425726e-05, + "loss": 1.0775, + "step": 2935 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999969306261557e-05, + "loss": 1.1076, + "step": 2936 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999968459577906e-05, + "loss": 0.9111, + "step": 2937 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999967601374773e-05, + "loss": 0.8802, + "step": 2938 + }, + { + "epoch": 0.77, + "learning_rate": 1.999996673165216e-05, + "loss": 0.726, + "step": 2939 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999965850410067e-05, + "loss": 0.8194, + "step": 2940 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999964957648498e-05, + "loss": 0.8313, + "step": 2941 + }, + { + "epoch": 0.77, + "learning_rate": 1.999996405336745e-05, + "loss": 0.7755, + "step": 2942 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999963137566926e-05, + "loss": 0.8838, + "step": 2943 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999962210246928e-05, + "loss": 0.8484, + "step": 2944 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999961271407457e-05, + "loss": 0.9019, + "step": 2945 + }, + { + "epoch": 0.77, + "learning_rate": 1.999996032104851e-05, + "loss": 1.0027, + "step": 2946 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999959359170097e-05, + "loss": 0.7433, + "step": 2947 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999958385772208e-05, + "loss": 0.8958, + "step": 2948 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999957400854853e-05, + "loss": 0.8297, + "step": 2949 + }, + { + "epoch": 0.77, + "learning_rate": 1.999995640441803e-05, + "loss": 0.8263, + "step": 2950 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999955396461735e-05, + "loss": 0.7128, + "step": 2951 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999954376985978e-05, + "loss": 0.8974, + "step": 2952 + }, + { + "epoch": 0.77, + "learning_rate": 1.9999953345990756e-05, + "loss": 0.672, + "step": 2953 + }, + { + "epoch": 0.77, + "learning_rate": 1.999995230347607e-05, + "loss": 0.7636, + "step": 2954 + }, + { + "epoch": 0.77, + "learning_rate": 1.999995124944192e-05, + "loss": 0.8376, + "step": 2955 + }, + { + "epoch": 0.77, + "learning_rate": 1.999995018388831e-05, + "loss": 0.87, + "step": 2956 + }, + { + "epoch": 0.77, + "learning_rate": 1.999994910681524e-05, + "loss": 0.9995, + "step": 2957 + }, + { + "epoch": 0.77, + "learning_rate": 1.999994801822271e-05, + "loss": 0.7207, + "step": 2958 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999946918110725e-05, + "loss": 0.9621, + "step": 2959 + }, + { + "epoch": 0.78, + "learning_rate": 1.999994580647928e-05, + "loss": 0.9048, + "step": 2960 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999944683328382e-05, + "loss": 0.9654, + "step": 2961 + }, + { + "epoch": 0.78, + "learning_rate": 1.999994354865803e-05, + "loss": 0.9452, + "step": 2962 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999942402468226e-05, + "loss": 0.7221, + "step": 2963 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999941244758973e-05, + "loss": 0.9749, + "step": 2964 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999940075530268e-05, + "loss": 0.8427, + "step": 2965 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999938894782118e-05, + "loss": 0.8552, + "step": 2966 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999937702514516e-05, + "loss": 0.7816, + "step": 2967 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999936498727466e-05, + "loss": 1.056, + "step": 2968 + }, + { + "epoch": 0.78, + "learning_rate": 1.999993528342098e-05, + "loss": 0.9242, + "step": 2969 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999934056595046e-05, + "loss": 0.8683, + "step": 2970 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999932818249672e-05, + "loss": 0.7184, + "step": 2971 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999931568384857e-05, + "loss": 0.8074, + "step": 2972 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999930307000604e-05, + "loss": 0.7173, + "step": 2973 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999929034096916e-05, + "loss": 0.9264, + "step": 2974 + }, + { + "epoch": 0.78, + "learning_rate": 1.999992774967379e-05, + "loss": 0.8819, + "step": 2975 + }, + { + "epoch": 0.78, + "learning_rate": 1.999992645373123e-05, + "loss": 0.7812, + "step": 2976 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999925146269237e-05, + "loss": 0.772, + "step": 2977 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999923827287814e-05, + "loss": 1.0115, + "step": 2978 + }, + { + "epoch": 0.78, + "learning_rate": 1.999992249678696e-05, + "loss": 0.729, + "step": 2979 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999921154766677e-05, + "loss": 0.8227, + "step": 2980 + }, + { + "epoch": 0.78, + "learning_rate": 1.999991980122697e-05, + "loss": 1.0685, + "step": 2981 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999918436167836e-05, + "loss": 0.7168, + "step": 2982 + }, + { + "epoch": 0.78, + "learning_rate": 1.999991705958928e-05, + "loss": 0.8549, + "step": 2983 + }, + { + "epoch": 0.78, + "learning_rate": 1.99999156714913e-05, + "loss": 0.9166, + "step": 2984 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999914271873903e-05, + "loss": 0.8926, + "step": 2985 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999912860737084e-05, + "loss": 1.0688, + "step": 2986 + }, + { + "epoch": 0.78, + "learning_rate": 1.999991143808085e-05, + "loss": 0.9157, + "step": 2987 + }, + { + "epoch": 0.78, + "learning_rate": 1.99999100039052e-05, + "loss": 0.9293, + "step": 2988 + }, + { + "epoch": 0.78, + "learning_rate": 1.999990855821014e-05, + "loss": 0.7151, + "step": 2989 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999907100995662e-05, + "loss": 0.9106, + "step": 2990 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999905632261775e-05, + "loss": 0.9219, + "step": 2991 + }, + { + "epoch": 0.78, + "learning_rate": 1.999990415200848e-05, + "loss": 0.6498, + "step": 2992 + }, + { + "epoch": 0.78, + "learning_rate": 1.999990266023578e-05, + "loss": 0.798, + "step": 2993 + }, + { + "epoch": 0.78, + "learning_rate": 1.999990115694367e-05, + "loss": 0.7789, + "step": 2994 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999899642132162e-05, + "loss": 0.7264, + "step": 2995 + }, + { + "epoch": 0.78, + "learning_rate": 1.9999898115801248e-05, + "loss": 0.9054, + "step": 2996 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999896577950936e-05, + "loss": 0.856, + "step": 2997 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999895028581227e-05, + "loss": 0.8354, + "step": 2998 + }, + { + "epoch": 0.79, + "learning_rate": 1.999989346769212e-05, + "loss": 0.9042, + "step": 2999 + }, + { + "epoch": 0.79, + "learning_rate": 1.999989189528362e-05, + "loss": 0.8506, + "step": 3000 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999890311355722e-05, + "loss": 0.7594, + "step": 3001 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999888715908437e-05, + "loss": 0.8478, + "step": 3002 + }, + { + "epoch": 0.79, + "learning_rate": 1.999988710894176e-05, + "loss": 0.8299, + "step": 3003 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999885490455695e-05, + "loss": 0.7582, + "step": 3004 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999883860450252e-05, + "loss": 0.8897, + "step": 3005 + }, + { + "epoch": 0.79, + "learning_rate": 1.999988221892542e-05, + "loss": 0.8439, + "step": 3006 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999880565881208e-05, + "loss": 0.7869, + "step": 3007 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999878901317613e-05, + "loss": 1.1752, + "step": 3008 + }, + { + "epoch": 0.79, + "learning_rate": 1.999987722523464e-05, + "loss": 0.8942, + "step": 3009 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999875537632296e-05, + "loss": 0.9083, + "step": 3010 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999873838510574e-05, + "loss": 0.7138, + "step": 3011 + }, + { + "epoch": 0.79, + "learning_rate": 1.999987212786948e-05, + "loss": 0.7377, + "step": 3012 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999870405709018e-05, + "loss": 0.8441, + "step": 3013 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999868672029185e-05, + "loss": 0.6648, + "step": 3014 + }, + { + "epoch": 0.79, + "learning_rate": 1.999986692682999e-05, + "loss": 0.7849, + "step": 3015 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999865170111428e-05, + "loss": 0.7906, + "step": 3016 + }, + { + "epoch": 0.79, + "learning_rate": 1.99998634018735e-05, + "loss": 0.9101, + "step": 3017 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999861622116218e-05, + "loss": 0.628, + "step": 3018 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999859830839577e-05, + "loss": 0.9126, + "step": 3019 + }, + { + "epoch": 0.79, + "learning_rate": 1.999985802804358e-05, + "loss": 0.8371, + "step": 3020 + }, + { + "epoch": 0.79, + "learning_rate": 1.999985621372823e-05, + "loss": 0.9651, + "step": 3021 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999854387893526e-05, + "loss": 0.9221, + "step": 3022 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999852550539473e-05, + "loss": 0.9914, + "step": 3023 + }, + { + "epoch": 0.79, + "learning_rate": 1.999985070166607e-05, + "loss": 0.8642, + "step": 3024 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999848841273326e-05, + "loss": 0.7696, + "step": 3025 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999846969361236e-05, + "loss": 0.7693, + "step": 3026 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999845085929806e-05, + "loss": 1.0268, + "step": 3027 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999843190979037e-05, + "loss": 0.8408, + "step": 3028 + }, + { + "epoch": 0.79, + "learning_rate": 1.999984128450893e-05, + "loss": 1.0227, + "step": 3029 + }, + { + "epoch": 0.79, + "learning_rate": 1.999983936651949e-05, + "loss": 0.6931, + "step": 3030 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999837437010717e-05, + "loss": 0.7202, + "step": 3031 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999835495982612e-05, + "loss": 0.8149, + "step": 3032 + }, + { + "epoch": 0.79, + "learning_rate": 1.999983354343518e-05, + "loss": 0.8184, + "step": 3033 + }, + { + "epoch": 0.79, + "learning_rate": 1.9999831579368424e-05, + "loss": 1.092, + "step": 3034 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999829603782344e-05, + "loss": 0.7828, + "step": 3035 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999827616676945e-05, + "loss": 0.8057, + "step": 3036 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999825618052223e-05, + "loss": 0.9406, + "step": 3037 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999823607908188e-05, + "loss": 0.9561, + "step": 3038 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999821586244837e-05, + "loss": 0.9932, + "step": 3039 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999819553062174e-05, + "loss": 0.8494, + "step": 3040 + }, + { + "epoch": 0.8, + "learning_rate": 1.99998175083602e-05, + "loss": 0.8141, + "step": 3041 + }, + { + "epoch": 0.8, + "learning_rate": 1.999981545213892e-05, + "loss": 0.9813, + "step": 3042 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999813384398337e-05, + "loss": 0.9489, + "step": 3043 + }, + { + "epoch": 0.8, + "learning_rate": 1.999981130513845e-05, + "loss": 0.9235, + "step": 3044 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999809214359264e-05, + "loss": 0.9052, + "step": 3045 + }, + { + "epoch": 0.8, + "learning_rate": 1.999980711206078e-05, + "loss": 0.951, + "step": 3046 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999804998242998e-05, + "loss": 0.8823, + "step": 3047 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999802872905928e-05, + "loss": 0.7336, + "step": 3048 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999800736049565e-05, + "loss": 0.9271, + "step": 3049 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999798587673914e-05, + "loss": 0.8032, + "step": 3050 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999796427778977e-05, + "loss": 0.8588, + "step": 3051 + }, + { + "epoch": 0.8, + "learning_rate": 1.999979425636476e-05, + "loss": 0.8118, + "step": 3052 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999792073431257e-05, + "loss": 0.8206, + "step": 3053 + }, + { + "epoch": 0.8, + "learning_rate": 1.999978987897848e-05, + "loss": 0.9727, + "step": 3054 + }, + { + "epoch": 0.8, + "learning_rate": 1.999978767300643e-05, + "loss": 0.9417, + "step": 3055 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999785455515105e-05, + "loss": 0.8921, + "step": 3056 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999783226504506e-05, + "loss": 0.8615, + "step": 3057 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999780985974645e-05, + "loss": 0.9065, + "step": 3058 + }, + { + "epoch": 0.8, + "learning_rate": 1.999977873392552e-05, + "loss": 0.8996, + "step": 3059 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999776470357123e-05, + "loss": 0.9525, + "step": 3060 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999774195269473e-05, + "loss": 0.6649, + "step": 3061 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999771908662565e-05, + "loss": 0.9567, + "step": 3062 + }, + { + "epoch": 0.8, + "learning_rate": 1.99997696105364e-05, + "loss": 0.8665, + "step": 3063 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999767300890986e-05, + "loss": 0.8286, + "step": 3064 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999764979726323e-05, + "loss": 1.0307, + "step": 3065 + }, + { + "epoch": 0.8, + "learning_rate": 1.999976264704241e-05, + "loss": 0.8701, + "step": 3066 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999760302839254e-05, + "loss": 0.7657, + "step": 3067 + }, + { + "epoch": 0.8, + "learning_rate": 1.999975794711686e-05, + "loss": 0.923, + "step": 3068 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999755579875227e-05, + "loss": 0.6983, + "step": 3069 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999753201114352e-05, + "loss": 0.9515, + "step": 3070 + }, + { + "epoch": 0.8, + "learning_rate": 1.999975081083425e-05, + "loss": 1.0082, + "step": 3071 + }, + { + "epoch": 0.8, + "learning_rate": 1.999974840903492e-05, + "loss": 1.037, + "step": 3072 + }, + { + "epoch": 0.8, + "learning_rate": 1.9999745995716355e-05, + "loss": 0.864, + "step": 3073 + }, + { + "epoch": 0.81, + "learning_rate": 1.999974357087857e-05, + "loss": 0.8855, + "step": 3074 + }, + { + "epoch": 0.81, + "learning_rate": 1.999974113452156e-05, + "loss": 0.8045, + "step": 3075 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999738686645332e-05, + "loss": 0.7715, + "step": 3076 + }, + { + "epoch": 0.81, + "learning_rate": 1.999973622724989e-05, + "loss": 0.8002, + "step": 3077 + }, + { + "epoch": 0.81, + "learning_rate": 1.999973375633523e-05, + "loss": 0.9447, + "step": 3078 + }, + { + "epoch": 0.81, + "learning_rate": 1.999973127390136e-05, + "loss": 0.8119, + "step": 3079 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999728779948288e-05, + "loss": 0.8198, + "step": 3080 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999726274476004e-05, + "loss": 0.813, + "step": 3081 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999723757484523e-05, + "loss": 1.0415, + "step": 3082 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999721228973838e-05, + "loss": 0.9826, + "step": 3083 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999718688943958e-05, + "loss": 0.6768, + "step": 3084 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999716137394888e-05, + "loss": 0.7943, + "step": 3085 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999713574326624e-05, + "loss": 0.7991, + "step": 3086 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999710999739173e-05, + "loss": 0.6975, + "step": 3087 + }, + { + "epoch": 0.81, + "learning_rate": 1.999970841363254e-05, + "loss": 0.7921, + "step": 3088 + }, + { + "epoch": 0.81, + "learning_rate": 1.999970581600672e-05, + "loss": 0.9067, + "step": 3089 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999703206861728e-05, + "loss": 0.9053, + "step": 3090 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999700586197558e-05, + "loss": 0.8232, + "step": 3091 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999697954014214e-05, + "loss": 0.9099, + "step": 3092 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999695310311703e-05, + "loss": 0.6373, + "step": 3093 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999692655090025e-05, + "loss": 0.8105, + "step": 3094 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999689988349184e-05, + "loss": 0.6597, + "step": 3095 + }, + { + "epoch": 0.81, + "learning_rate": 1.999968731008918e-05, + "loss": 0.8968, + "step": 3096 + }, + { + "epoch": 0.81, + "learning_rate": 1.999968462031002e-05, + "loss": 0.9601, + "step": 3097 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999681919011705e-05, + "loss": 0.9069, + "step": 3098 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999679206194244e-05, + "loss": 0.8422, + "step": 3099 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999676481857632e-05, + "loss": 0.7728, + "step": 3100 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999673746001873e-05, + "loss": 0.8146, + "step": 3101 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999670998626975e-05, + "loss": 0.7127, + "step": 3102 + }, + { + "epoch": 0.81, + "learning_rate": 1.999966823973294e-05, + "loss": 0.895, + "step": 3103 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999665469319765e-05, + "loss": 0.9569, + "step": 3104 + }, + { + "epoch": 0.81, + "learning_rate": 1.999966268738746e-05, + "loss": 0.7203, + "step": 3105 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999659893936027e-05, + "loss": 0.9722, + "step": 3106 + }, + { + "epoch": 0.81, + "learning_rate": 1.999965708896547e-05, + "loss": 1.0524, + "step": 3107 + }, + { + "epoch": 0.81, + "learning_rate": 1.999965427247579e-05, + "loss": 0.8238, + "step": 3108 + }, + { + "epoch": 0.81, + "learning_rate": 1.9999651444466987e-05, + "loss": 0.9739, + "step": 3109 + }, + { + "epoch": 0.81, + "learning_rate": 1.999964860493907e-05, + "loss": 0.9295, + "step": 3110 + }, + { + "epoch": 0.81, + "learning_rate": 1.999964575389204e-05, + "loss": 0.8801, + "step": 3111 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999642891325905e-05, + "loss": 0.8404, + "step": 3112 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999640017240658e-05, + "loss": 0.6453, + "step": 3113 + }, + { + "epoch": 0.82, + "learning_rate": 1.999963713163631e-05, + "loss": 0.7682, + "step": 3114 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999634234512863e-05, + "loss": 0.8571, + "step": 3115 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999631325870325e-05, + "loss": 0.7013, + "step": 3116 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999628405708687e-05, + "loss": 0.9109, + "step": 3117 + }, + { + "epoch": 0.82, + "learning_rate": 1.999962547402796e-05, + "loss": 0.7527, + "step": 3118 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999622530828153e-05, + "loss": 0.6656, + "step": 3119 + }, + { + "epoch": 0.82, + "learning_rate": 1.999961957610926e-05, + "loss": 0.9851, + "step": 3120 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999616609871286e-05, + "loss": 0.8778, + "step": 3121 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999613632114237e-05, + "loss": 0.8504, + "step": 3122 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999610642838116e-05, + "loss": 0.8974, + "step": 3123 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999607642042927e-05, + "loss": 0.8127, + "step": 3124 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999604629728676e-05, + "loss": 0.8331, + "step": 3125 + }, + { + "epoch": 0.82, + "learning_rate": 1.999960160589536e-05, + "loss": 0.7648, + "step": 3126 + }, + { + "epoch": 0.82, + "learning_rate": 1.999959857054298e-05, + "loss": 0.6673, + "step": 3127 + }, + { + "epoch": 0.82, + "learning_rate": 1.999959552367155e-05, + "loss": 0.9415, + "step": 3128 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999592465281072e-05, + "loss": 0.7647, + "step": 3129 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999589395371538e-05, + "loss": 0.862, + "step": 3130 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999586313942966e-05, + "loss": 0.9198, + "step": 3131 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999583220995352e-05, + "loss": 0.8737, + "step": 3132 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999580116528697e-05, + "loss": 1.1232, + "step": 3133 + }, + { + "epoch": 0.82, + "learning_rate": 1.999957700054301e-05, + "loss": 0.7875, + "step": 3134 + }, + { + "epoch": 0.82, + "learning_rate": 1.99995738730383e-05, + "loss": 0.8537, + "step": 3135 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999570734014556e-05, + "loss": 0.8406, + "step": 3136 + }, + { + "epoch": 0.82, + "learning_rate": 1.999956758347179e-05, + "loss": 1.0381, + "step": 3137 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999564421410003e-05, + "loss": 0.9575, + "step": 3138 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999561247829203e-05, + "loss": 0.7927, + "step": 3139 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999558062729392e-05, + "loss": 0.7957, + "step": 3140 + }, + { + "epoch": 0.82, + "learning_rate": 1.999955486611057e-05, + "loss": 0.8236, + "step": 3141 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999551657972744e-05, + "loss": 0.7261, + "step": 3142 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999548438315916e-05, + "loss": 0.7886, + "step": 3143 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999545207140095e-05, + "loss": 0.7685, + "step": 3144 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999541964445276e-05, + "loss": 0.9201, + "step": 3145 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999538710231473e-05, + "loss": 0.8901, + "step": 3146 + }, + { + "epoch": 0.82, + "learning_rate": 1.9999535444498675e-05, + "loss": 0.965, + "step": 3147 + }, + { + "epoch": 0.82, + "learning_rate": 1.99995321672469e-05, + "loss": 0.8248, + "step": 3148 + }, + { + "epoch": 0.82, + "learning_rate": 1.999952887847615e-05, + "loss": 0.8882, + "step": 3149 + }, + { + "epoch": 0.83, + "learning_rate": 1.999952557818642e-05, + "loss": 0.8041, + "step": 3150 + }, + { + "epoch": 0.83, + "learning_rate": 1.999952226637772e-05, + "loss": 0.7021, + "step": 3151 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999518943050057e-05, + "loss": 0.7931, + "step": 3152 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999515608203427e-05, + "loss": 0.7627, + "step": 3153 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999512261837837e-05, + "loss": 0.7861, + "step": 3154 + }, + { + "epoch": 0.83, + "learning_rate": 1.999950890395329e-05, + "loss": 0.8303, + "step": 3155 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999505534549795e-05, + "loss": 0.9629, + "step": 3156 + }, + { + "epoch": 0.83, + "learning_rate": 1.999950215362735e-05, + "loss": 0.8341, + "step": 3157 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999498761185963e-05, + "loss": 0.8221, + "step": 3158 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999495357225632e-05, + "loss": 0.8432, + "step": 3159 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999491941746368e-05, + "loss": 0.843, + "step": 3160 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999488514748174e-05, + "loss": 0.8294, + "step": 3161 + }, + { + "epoch": 0.83, + "learning_rate": 1.999948507623105e-05, + "loss": 1.0966, + "step": 3162 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999481626195e-05, + "loss": 1.0293, + "step": 3163 + }, + { + "epoch": 0.83, + "learning_rate": 1.999947816464003e-05, + "loss": 0.6839, + "step": 3164 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999474691566148e-05, + "loss": 0.9533, + "step": 3165 + }, + { + "epoch": 0.83, + "learning_rate": 1.999947120697335e-05, + "loss": 0.8112, + "step": 3166 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999467710861644e-05, + "loss": 0.8586, + "step": 3167 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999464203231033e-05, + "loss": 0.962, + "step": 3168 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999460684081522e-05, + "loss": 0.8956, + "step": 3169 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999457153413116e-05, + "loss": 0.8785, + "step": 3170 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999453611225817e-05, + "loss": 0.7238, + "step": 3171 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999450057519633e-05, + "loss": 0.765, + "step": 3172 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999446492294562e-05, + "loss": 0.9385, + "step": 3173 + }, + { + "epoch": 0.83, + "learning_rate": 1.999944291555061e-05, + "loss": 0.9746, + "step": 3174 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999439327287785e-05, + "loss": 0.8345, + "step": 3175 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999435727506088e-05, + "loss": 0.759, + "step": 3176 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999432116205525e-05, + "loss": 0.7172, + "step": 3177 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999428493386094e-05, + "loss": 1.0086, + "step": 3178 + }, + { + "epoch": 0.83, + "learning_rate": 1.999942485904781e-05, + "loss": 0.7971, + "step": 3179 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999421213190666e-05, + "loss": 0.7986, + "step": 3180 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999417555814672e-05, + "loss": 0.9431, + "step": 3181 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999413886919833e-05, + "loss": 0.8634, + "step": 3182 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999410206506152e-05, + "loss": 0.9839, + "step": 3183 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999406514573634e-05, + "loss": 0.8285, + "step": 3184 + }, + { + "epoch": 0.83, + "learning_rate": 1.999940281112228e-05, + "loss": 0.803, + "step": 3185 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999399096152098e-05, + "loss": 0.8582, + "step": 3186 + }, + { + "epoch": 0.83, + "learning_rate": 1.9999395369663088e-05, + "loss": 0.8219, + "step": 3187 + }, + { + "epoch": 0.84, + "learning_rate": 1.999939163165526e-05, + "loss": 0.7952, + "step": 3188 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999387882128617e-05, + "loss": 0.7636, + "step": 3189 + }, + { + "epoch": 0.84, + "learning_rate": 1.999938412108316e-05, + "loss": 0.7289, + "step": 3190 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999380348518895e-05, + "loss": 0.8613, + "step": 3191 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999376564435825e-05, + "loss": 0.6922, + "step": 3192 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999372768833955e-05, + "loss": 0.9451, + "step": 3193 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999368961713293e-05, + "loss": 1.0957, + "step": 3194 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999365143073837e-05, + "loss": 0.7812, + "step": 3195 + }, + { + "epoch": 0.84, + "learning_rate": 1.99993613129156e-05, + "loss": 0.698, + "step": 3196 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999357471238577e-05, + "loss": 0.8594, + "step": 3197 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999353618042776e-05, + "loss": 0.6963, + "step": 3198 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999349753328207e-05, + "loss": 0.9728, + "step": 3199 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999345877094868e-05, + "loss": 0.8455, + "step": 3200 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999341989342762e-05, + "loss": 0.9267, + "step": 3201 + }, + { + "epoch": 0.84, + "learning_rate": 1.99993380900719e-05, + "loss": 0.8105, + "step": 3202 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999334179282282e-05, + "loss": 0.7343, + "step": 3203 + }, + { + "epoch": 0.84, + "learning_rate": 1.999933025697391e-05, + "loss": 0.8379, + "step": 3204 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999326323146798e-05, + "loss": 0.8401, + "step": 3205 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999322377800944e-05, + "loss": 0.8189, + "step": 3206 + }, + { + "epoch": 0.84, + "learning_rate": 1.999931842093635e-05, + "loss": 0.8737, + "step": 3207 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999314452553026e-05, + "loss": 0.9019, + "step": 3208 + }, + { + "epoch": 0.84, + "learning_rate": 1.999931047265097e-05, + "loss": 0.6692, + "step": 3209 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999306481230195e-05, + "loss": 0.9084, + "step": 3210 + }, + { + "epoch": 0.84, + "learning_rate": 1.99993024782907e-05, + "loss": 0.689, + "step": 3211 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999298463832492e-05, + "loss": 0.855, + "step": 3212 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999294437855576e-05, + "loss": 0.9333, + "step": 3213 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999290400359954e-05, + "loss": 0.9042, + "step": 3214 + }, + { + "epoch": 0.84, + "learning_rate": 1.999928635134563e-05, + "loss": 0.7403, + "step": 3215 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999282290812615e-05, + "loss": 0.8092, + "step": 3216 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999278218760905e-05, + "loss": 0.7859, + "step": 3217 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999274135190513e-05, + "loss": 0.7079, + "step": 3218 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999270040101438e-05, + "loss": 0.7725, + "step": 3219 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999265933493684e-05, + "loss": 0.8719, + "step": 3220 + }, + { + "epoch": 0.84, + "learning_rate": 1.999926181536726e-05, + "loss": 0.8255, + "step": 3221 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999257685722172e-05, + "loss": 0.8664, + "step": 3222 + }, + { + "epoch": 0.84, + "learning_rate": 1.999925354455842e-05, + "loss": 0.7982, + "step": 3223 + }, + { + "epoch": 0.84, + "learning_rate": 1.999924939187601e-05, + "loss": 0.765, + "step": 3224 + }, + { + "epoch": 0.84, + "learning_rate": 1.9999245227674944e-05, + "loss": 0.9403, + "step": 3225 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999241051955234e-05, + "loss": 0.8678, + "step": 3226 + }, + { + "epoch": 0.85, + "learning_rate": 1.999923686471688e-05, + "loss": 0.8226, + "step": 3227 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999232665959886e-05, + "loss": 0.7934, + "step": 3228 + }, + { + "epoch": 0.85, + "learning_rate": 1.999922845568426e-05, + "loss": 0.7785, + "step": 3229 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999224233890007e-05, + "loss": 0.9912, + "step": 3230 + }, + { + "epoch": 0.85, + "learning_rate": 1.999922000057713e-05, + "loss": 0.8324, + "step": 3231 + }, + { + "epoch": 0.85, + "learning_rate": 1.999921575574563e-05, + "loss": 0.7086, + "step": 3232 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999211499395518e-05, + "loss": 0.7209, + "step": 3233 + }, + { + "epoch": 0.85, + "learning_rate": 1.99992072315268e-05, + "loss": 0.8444, + "step": 3234 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999202952139472e-05, + "loss": 0.8944, + "step": 3235 + }, + { + "epoch": 0.85, + "learning_rate": 1.999919866123355e-05, + "loss": 0.7631, + "step": 3236 + }, + { + "epoch": 0.85, + "learning_rate": 1.999919435880903e-05, + "loss": 0.768, + "step": 3237 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999190044865925e-05, + "loss": 0.705, + "step": 3238 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999185719404234e-05, + "loss": 0.6005, + "step": 3239 + }, + { + "epoch": 0.85, + "learning_rate": 1.999918138242396e-05, + "loss": 0.8125, + "step": 3240 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999177033925113e-05, + "loss": 0.8483, + "step": 3241 + }, + { + "epoch": 0.85, + "learning_rate": 1.99991726739077e-05, + "loss": 0.7236, + "step": 3242 + }, + { + "epoch": 0.85, + "learning_rate": 1.999916830237172e-05, + "loss": 0.7702, + "step": 3243 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999163919317182e-05, + "loss": 0.7582, + "step": 3244 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999159524744088e-05, + "loss": 0.6884, + "step": 3245 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999155118652447e-05, + "loss": 0.9782, + "step": 3246 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999150701042258e-05, + "loss": 0.7728, + "step": 3247 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999146271913533e-05, + "loss": 0.7751, + "step": 3248 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999141831266274e-05, + "loss": 0.8392, + "step": 3249 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999137379100486e-05, + "loss": 0.6982, + "step": 3250 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999132915416174e-05, + "loss": 0.6694, + "step": 3251 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999128440213343e-05, + "loss": 1.0347, + "step": 3252 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999123953491998e-05, + "loss": 0.8462, + "step": 3253 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999119455252147e-05, + "loss": 0.9003, + "step": 3254 + }, + { + "epoch": 0.85, + "learning_rate": 1.999911494549379e-05, + "loss": 0.9214, + "step": 3255 + }, + { + "epoch": 0.85, + "learning_rate": 1.999911042421694e-05, + "loss": 0.85, + "step": 3256 + }, + { + "epoch": 0.85, + "learning_rate": 1.999910589142159e-05, + "loss": 0.7737, + "step": 3257 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999101347107758e-05, + "loss": 0.8395, + "step": 3258 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999096791275444e-05, + "loss": 0.7231, + "step": 3259 + }, + { + "epoch": 0.85, + "learning_rate": 1.999909222392465e-05, + "loss": 1.0129, + "step": 3260 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999087645055387e-05, + "loss": 0.7458, + "step": 3261 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999083054667655e-05, + "loss": 0.7709, + "step": 3262 + }, + { + "epoch": 0.85, + "learning_rate": 1.9999078452761465e-05, + "loss": 1.0026, + "step": 3263 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999073839336815e-05, + "loss": 0.825, + "step": 3264 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999069214393717e-05, + "loss": 0.7652, + "step": 3265 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999064577932174e-05, + "loss": 0.6819, + "step": 3266 + }, + { + "epoch": 0.86, + "learning_rate": 1.999905992995219e-05, + "loss": 0.8692, + "step": 3267 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999055270453774e-05, + "loss": 0.7414, + "step": 3268 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999050599436926e-05, + "loss": 0.7937, + "step": 3269 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999045916901655e-05, + "loss": 0.9652, + "step": 3270 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999041222847966e-05, + "loss": 0.835, + "step": 3271 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999036517275866e-05, + "loss": 0.8759, + "step": 3272 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999031800185355e-05, + "loss": 0.9298, + "step": 3273 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999027071576446e-05, + "loss": 0.7532, + "step": 3274 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999022331449135e-05, + "loss": 0.8797, + "step": 3275 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999017579803437e-05, + "loss": 0.8458, + "step": 3276 + }, + { + "epoch": 0.86, + "learning_rate": 1.999901281663935e-05, + "loss": 0.7116, + "step": 3277 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999008041956887e-05, + "loss": 0.8132, + "step": 3278 + }, + { + "epoch": 0.86, + "learning_rate": 1.9999003255756046e-05, + "loss": 0.7816, + "step": 3279 + }, + { + "epoch": 0.86, + "learning_rate": 1.9998998458036838e-05, + "loss": 0.7929, + "step": 3280 + }, + { + "epoch": 0.86, + "learning_rate": 1.9998993648799265e-05, + "loss": 0.8282, + "step": 3281 + }, + { + "epoch": 0.86, + "learning_rate": 1.9998988828043333e-05, + "loss": 1.0173, + "step": 3282 + }, + { + "epoch": 0.86, + "learning_rate": 1.999898399576905e-05, + "loss": 0.9461, + "step": 3283 + }, + { + "epoch": 0.86, + "learning_rate": 1.999897915197642e-05, + "loss": 0.7571, + "step": 3284 + }, + { + "epoch": 0.86, + "learning_rate": 1.9998974296665445e-05, + "loss": 1.0202, + "step": 3285 + }, + { + "epoch": 0.86, + "learning_rate": 1.999896942983614e-05, + "loss": 0.8831, + "step": 3286 + }, + { + "epoch": 0.86, + "learning_rate": 1.99989645514885e-05, + "loss": 0.785, + "step": 3287 + }, + { + "epoch": 0.86, + "learning_rate": 1.9998959661622538e-05, + "loss": 0.9911, + "step": 3288 + }, + { + "epoch": 0.86, + "learning_rate": 1.9998954760238257e-05, + "loss": 0.9194, + "step": 3289 + }, + { + "epoch": 0.86, + "learning_rate": 1.9998949847335663e-05, + "loss": 0.9999, + "step": 3290 + }, + { + "epoch": 0.86, + "learning_rate": 1.999894492291476e-05, + "loss": 0.7461, + "step": 3291 + }, + { + "epoch": 0.86, + "learning_rate": 1.9998939986975552e-05, + "loss": 0.9771, + "step": 3292 + }, + { + "epoch": 0.86, + "learning_rate": 1.999893503951805e-05, + "loss": 0.8824, + "step": 3293 + }, + { + "epoch": 0.86, + "learning_rate": 1.999893008054226e-05, + "loss": 0.7658, + "step": 3294 + }, + { + "epoch": 0.86, + "learning_rate": 1.9998925110048185e-05, + "loss": 0.9352, + "step": 3295 + }, + { + "epoch": 0.86, + "learning_rate": 1.9998920128035827e-05, + "loss": 0.9452, + "step": 3296 + }, + { + "epoch": 0.86, + "learning_rate": 1.99989151345052e-05, + "loss": 1.048, + "step": 3297 + }, + { + "epoch": 0.86, + "learning_rate": 1.99989101294563e-05, + "loss": 0.8817, + "step": 3298 + }, + { + "epoch": 0.86, + "learning_rate": 1.9998905112889142e-05, + "loss": 0.7178, + "step": 3299 + }, + { + "epoch": 0.86, + "learning_rate": 1.999890008480373e-05, + "loss": 0.9139, + "step": 3300 + }, + { + "epoch": 0.86, + "learning_rate": 1.9998895045200062e-05, + "loss": 0.6969, + "step": 3301 + }, + { + "epoch": 0.86, + "learning_rate": 1.999888999407815e-05, + "loss": 0.9698, + "step": 3302 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998884931438004e-05, + "loss": 0.8024, + "step": 3303 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998879857279622e-05, + "loss": 0.9125, + "step": 3304 + }, + { + "epoch": 0.87, + "learning_rate": 1.999887477160301e-05, + "loss": 0.8014, + "step": 3305 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998869674408183e-05, + "loss": 0.8749, + "step": 3306 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998864565695136e-05, + "loss": 0.686, + "step": 3307 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998859445463884e-05, + "loss": 0.8395, + "step": 3308 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998854313714424e-05, + "loss": 0.7347, + "step": 3309 + }, + { + "epoch": 0.87, + "learning_rate": 1.999884917044677e-05, + "loss": 0.9088, + "step": 3310 + }, + { + "epoch": 0.87, + "learning_rate": 1.999884401566092e-05, + "loss": 0.8666, + "step": 3311 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998838849356887e-05, + "loss": 0.8498, + "step": 3312 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998833671534676e-05, + "loss": 0.7465, + "step": 3313 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998828482194287e-05, + "loss": 1.003, + "step": 3314 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998823281335734e-05, + "loss": 0.6932, + "step": 3315 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998818068959017e-05, + "loss": 0.7363, + "step": 3316 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998812845064143e-05, + "loss": 0.8983, + "step": 3317 + }, + { + "epoch": 0.87, + "learning_rate": 1.999880760965112e-05, + "loss": 0.7602, + "step": 3318 + }, + { + "epoch": 0.87, + "learning_rate": 1.999880236271995e-05, + "loss": 0.8531, + "step": 3319 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998797104270648e-05, + "loss": 0.8247, + "step": 3320 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998791834303212e-05, + "loss": 0.8025, + "step": 3321 + }, + { + "epoch": 0.87, + "learning_rate": 1.999878655281765e-05, + "loss": 0.851, + "step": 3322 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998781259813967e-05, + "loss": 0.92, + "step": 3323 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998775955292175e-05, + "loss": 0.7174, + "step": 3324 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998770639252272e-05, + "loss": 0.663, + "step": 3325 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998765311694267e-05, + "loss": 0.9165, + "step": 3326 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998759972618172e-05, + "loss": 0.72, + "step": 3327 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998754622023984e-05, + "loss": 0.9223, + "step": 3328 + }, + { + "epoch": 0.87, + "learning_rate": 1.999874925991171e-05, + "loss": 0.7549, + "step": 3329 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998743886281367e-05, + "loss": 0.801, + "step": 3330 + }, + { + "epoch": 0.87, + "learning_rate": 1.999873850113295e-05, + "loss": 0.8775, + "step": 3331 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998733104466466e-05, + "loss": 0.7363, + "step": 3332 + }, + { + "epoch": 0.87, + "learning_rate": 1.999872769628193e-05, + "loss": 0.8927, + "step": 3333 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998722276579336e-05, + "loss": 0.7989, + "step": 3334 + }, + { + "epoch": 0.87, + "learning_rate": 1.99987168453587e-05, + "loss": 0.7157, + "step": 3335 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998711402620024e-05, + "loss": 0.7842, + "step": 3336 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998705948363315e-05, + "loss": 0.7257, + "step": 3337 + }, + { + "epoch": 0.87, + "learning_rate": 1.999870048258858e-05, + "loss": 0.9041, + "step": 3338 + }, + { + "epoch": 0.87, + "learning_rate": 1.999869500529582e-05, + "loss": 0.7784, + "step": 3339 + }, + { + "epoch": 0.87, + "learning_rate": 1.9998689516485054e-05, + "loss": 0.8285, + "step": 3340 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998684016156274e-05, + "loss": 0.972, + "step": 3341 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998678504309494e-05, + "loss": 0.8949, + "step": 3342 + }, + { + "epoch": 0.88, + "learning_rate": 1.999867298094472e-05, + "loss": 0.7766, + "step": 3343 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998667446061958e-05, + "loss": 0.9416, + "step": 3344 + }, + { + "epoch": 0.88, + "learning_rate": 1.999866189966121e-05, + "loss": 0.6703, + "step": 3345 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998656341742488e-05, + "loss": 0.8657, + "step": 3346 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998650772305795e-05, + "loss": 0.8249, + "step": 3347 + }, + { + "epoch": 0.88, + "learning_rate": 1.999864519135114e-05, + "loss": 0.6849, + "step": 3348 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998639598878533e-05, + "loss": 0.9099, + "step": 3349 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998633994887968e-05, + "loss": 0.7385, + "step": 3350 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998628379379466e-05, + "loss": 0.865, + "step": 3351 + }, + { + "epoch": 0.88, + "learning_rate": 1.999862275235302e-05, + "loss": 0.9669, + "step": 3352 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998617113808646e-05, + "loss": 0.7914, + "step": 3353 + }, + { + "epoch": 0.88, + "learning_rate": 1.999861146374635e-05, + "loss": 0.7951, + "step": 3354 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998605802166133e-05, + "loss": 0.8075, + "step": 3355 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998600129068006e-05, + "loss": 0.7729, + "step": 3356 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998594444451976e-05, + "loss": 0.9004, + "step": 3357 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998588748318043e-05, + "loss": 0.9896, + "step": 3358 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998583040666223e-05, + "loss": 0.9683, + "step": 3359 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998577321496514e-05, + "loss": 0.9399, + "step": 3360 + }, + { + "epoch": 0.88, + "learning_rate": 1.999857159080893e-05, + "loss": 0.8764, + "step": 3361 + }, + { + "epoch": 0.88, + "learning_rate": 1.999856584860347e-05, + "loss": 0.8492, + "step": 3362 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998560094880147e-05, + "loss": 0.7414, + "step": 3363 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998554329638964e-05, + "loss": 0.8386, + "step": 3364 + }, + { + "epoch": 0.88, + "learning_rate": 1.999854855287993e-05, + "loss": 0.7658, + "step": 3365 + }, + { + "epoch": 0.88, + "learning_rate": 1.999854276460305e-05, + "loss": 0.761, + "step": 3366 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998536964808335e-05, + "loss": 0.8318, + "step": 3367 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998531153495783e-05, + "loss": 0.7688, + "step": 3368 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998525330665406e-05, + "loss": 0.901, + "step": 3369 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998519496317214e-05, + "loss": 0.7846, + "step": 3370 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998513650451207e-05, + "loss": 0.7255, + "step": 3371 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998507793067395e-05, + "loss": 0.6962, + "step": 3372 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998501924165788e-05, + "loss": 0.8459, + "step": 3373 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998496043746386e-05, + "loss": 0.7732, + "step": 3374 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998490151809196e-05, + "loss": 0.7652, + "step": 3375 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998484248354236e-05, + "loss": 0.7676, + "step": 3376 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998478333381497e-05, + "loss": 0.9063, + "step": 3377 + }, + { + "epoch": 0.88, + "learning_rate": 1.9998472406890997e-05, + "loss": 0.8946, + "step": 3378 + }, + { + "epoch": 0.89, + "learning_rate": 1.999846646888274e-05, + "loss": 0.7457, + "step": 3379 + }, + { + "epoch": 0.89, + "learning_rate": 1.999846051935673e-05, + "loss": 0.8805, + "step": 3380 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998454558312978e-05, + "loss": 0.6738, + "step": 3381 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998448585751485e-05, + "loss": 0.8387, + "step": 3382 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998442601672266e-05, + "loss": 0.8723, + "step": 3383 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998436606075323e-05, + "loss": 0.7625, + "step": 3384 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998430598960663e-05, + "loss": 0.6825, + "step": 3385 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998424580328294e-05, + "loss": 0.9915, + "step": 3386 + }, + { + "epoch": 0.89, + "learning_rate": 1.999841855017822e-05, + "loss": 0.7348, + "step": 3387 + }, + { + "epoch": 0.89, + "learning_rate": 1.999841250851045e-05, + "loss": 0.9169, + "step": 3388 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998406455324995e-05, + "loss": 0.8214, + "step": 3389 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998400390621856e-05, + "loss": 0.9843, + "step": 3390 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998394314401044e-05, + "loss": 1.0427, + "step": 3391 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998388226662563e-05, + "loss": 0.9021, + "step": 3392 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998382127406422e-05, + "loss": 0.7699, + "step": 3393 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998376016632626e-05, + "loss": 0.7092, + "step": 3394 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998369894341184e-05, + "loss": 0.7931, + "step": 3395 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998363760532103e-05, + "loss": 0.7653, + "step": 3396 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998357615205387e-05, + "loss": 0.8524, + "step": 3397 + }, + { + "epoch": 0.89, + "learning_rate": 1.999835145836105e-05, + "loss": 0.8617, + "step": 3398 + }, + { + "epoch": 0.89, + "learning_rate": 1.999834528999909e-05, + "loss": 0.7089, + "step": 3399 + }, + { + "epoch": 0.89, + "learning_rate": 1.999833911011952e-05, + "loss": 0.714, + "step": 3400 + }, + { + "epoch": 0.89, + "learning_rate": 1.999833291872235e-05, + "loss": 0.9192, + "step": 3401 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998326715807577e-05, + "loss": 0.7697, + "step": 3402 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998320501375216e-05, + "loss": 1.0592, + "step": 3403 + }, + { + "epoch": 0.89, + "learning_rate": 1.999831427542527e-05, + "loss": 0.8605, + "step": 3404 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998308037957755e-05, + "loss": 0.839, + "step": 3405 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998301788972668e-05, + "loss": 0.9195, + "step": 3406 + }, + { + "epoch": 0.89, + "learning_rate": 1.999829552847002e-05, + "loss": 0.7045, + "step": 3407 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998289256449817e-05, + "loss": 0.7647, + "step": 3408 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998282972912067e-05, + "loss": 0.695, + "step": 3409 + }, + { + "epoch": 0.89, + "learning_rate": 1.999827667785678e-05, + "loss": 0.7087, + "step": 3410 + }, + { + "epoch": 0.89, + "learning_rate": 1.999827037128396e-05, + "loss": 1.0906, + "step": 3411 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998264053193614e-05, + "loss": 0.7795, + "step": 3412 + }, + { + "epoch": 0.89, + "learning_rate": 1.999825772358575e-05, + "loss": 0.8387, + "step": 3413 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998251382460377e-05, + "loss": 0.7425, + "step": 3414 + }, + { + "epoch": 0.89, + "learning_rate": 1.99982450298175e-05, + "loss": 0.728, + "step": 3415 + }, + { + "epoch": 0.89, + "learning_rate": 1.9998238665657127e-05, + "loss": 0.8018, + "step": 3416 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998232289979268e-05, + "loss": 0.9343, + "step": 3417 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998225902783927e-05, + "loss": 1.0602, + "step": 3418 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998219504071112e-05, + "loss": 0.7648, + "step": 3419 + }, + { + "epoch": 0.9, + "learning_rate": 1.999821309384083e-05, + "loss": 0.7289, + "step": 3420 + }, + { + "epoch": 0.9, + "learning_rate": 1.999820667209309e-05, + "loss": 0.7719, + "step": 3421 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998200238827893e-05, + "loss": 0.7908, + "step": 3422 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998193794045258e-05, + "loss": 0.8736, + "step": 3423 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998187337745184e-05, + "loss": 0.7888, + "step": 3424 + }, + { + "epoch": 0.9, + "learning_rate": 1.999818086992768e-05, + "loss": 0.8342, + "step": 3425 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998174390592757e-05, + "loss": 0.7761, + "step": 3426 + }, + { + "epoch": 0.9, + "learning_rate": 1.999816789974042e-05, + "loss": 0.7426, + "step": 3427 + }, + { + "epoch": 0.9, + "learning_rate": 1.999816139737067e-05, + "loss": 0.8492, + "step": 3428 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998154883483528e-05, + "loss": 0.6631, + "step": 3429 + }, + { + "epoch": 0.9, + "learning_rate": 1.999814835807899e-05, + "loss": 0.7301, + "step": 3430 + }, + { + "epoch": 0.9, + "learning_rate": 1.999814182115707e-05, + "loss": 0.8422, + "step": 3431 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998135272717768e-05, + "loss": 0.8329, + "step": 3432 + }, + { + "epoch": 0.9, + "learning_rate": 1.99981287127611e-05, + "loss": 0.8398, + "step": 3433 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998122141287072e-05, + "loss": 0.9701, + "step": 3434 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998115558295687e-05, + "loss": 0.9107, + "step": 3435 + }, + { + "epoch": 0.9, + "learning_rate": 1.999810896378696e-05, + "loss": 0.6612, + "step": 3436 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998102357760885e-05, + "loss": 1.003, + "step": 3437 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998095740217485e-05, + "loss": 0.8017, + "step": 3438 + }, + { + "epoch": 0.9, + "learning_rate": 1.999808911115676e-05, + "loss": 0.882, + "step": 3439 + }, + { + "epoch": 0.9, + "learning_rate": 1.999808247057872e-05, + "loss": 0.7341, + "step": 3440 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998075818483372e-05, + "loss": 0.9477, + "step": 3441 + }, + { + "epoch": 0.9, + "learning_rate": 1.999806915487072e-05, + "loss": 0.7061, + "step": 3442 + }, + { + "epoch": 0.9, + "learning_rate": 1.999806247974078e-05, + "loss": 0.8169, + "step": 3443 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998055793093548e-05, + "loss": 0.7766, + "step": 3444 + }, + { + "epoch": 0.9, + "learning_rate": 1.999804909492904e-05, + "loss": 0.7983, + "step": 3445 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998042385247266e-05, + "loss": 0.6904, + "step": 3446 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998035664048226e-05, + "loss": 0.7508, + "step": 3447 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998028931331933e-05, + "loss": 0.922, + "step": 3448 + }, + { + "epoch": 0.9, + "learning_rate": 1.999802218709839e-05, + "loss": 1.0595, + "step": 3449 + }, + { + "epoch": 0.9, + "learning_rate": 1.999801543134761e-05, + "loss": 0.8571, + "step": 3450 + }, + { + "epoch": 0.9, + "learning_rate": 1.99980086640796e-05, + "loss": 0.9199, + "step": 3451 + }, + { + "epoch": 0.9, + "learning_rate": 1.9998001885294367e-05, + "loss": 0.7529, + "step": 3452 + }, + { + "epoch": 0.9, + "learning_rate": 1.9997995094991916e-05, + "loss": 0.8018, + "step": 3453 + }, + { + "epoch": 0.9, + "learning_rate": 1.999798829317226e-05, + "loss": 0.8429, + "step": 3454 + }, + { + "epoch": 0.91, + "learning_rate": 1.99979814798354e-05, + "loss": 0.9534, + "step": 3455 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997974654981348e-05, + "loss": 0.8594, + "step": 3456 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997967818610117e-05, + "loss": 0.7159, + "step": 3457 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997960970721704e-05, + "loss": 0.7908, + "step": 3458 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997954111316126e-05, + "loss": 0.8459, + "step": 3459 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997947240393384e-05, + "loss": 0.7828, + "step": 3460 + }, + { + "epoch": 0.91, + "learning_rate": 1.999794035795349e-05, + "loss": 0.9666, + "step": 3461 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997933463996457e-05, + "loss": 0.7734, + "step": 3462 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997926558522282e-05, + "loss": 0.8127, + "step": 3463 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997919641530976e-05, + "loss": 0.9315, + "step": 3464 + }, + { + "epoch": 0.91, + "learning_rate": 1.999791271302255e-05, + "loss": 0.7115, + "step": 3465 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997905772997013e-05, + "loss": 0.9429, + "step": 3466 + }, + { + "epoch": 0.91, + "learning_rate": 1.999789882145437e-05, + "loss": 1.0446, + "step": 3467 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997891858394633e-05, + "loss": 0.8927, + "step": 3468 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997884883817806e-05, + "loss": 0.7963, + "step": 3469 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997877897723896e-05, + "loss": 0.7423, + "step": 3470 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997870900112916e-05, + "loss": 0.8664, + "step": 3471 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997863890984866e-05, + "loss": 0.8211, + "step": 3472 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997856870339764e-05, + "loss": 0.8459, + "step": 3473 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997849838177612e-05, + "loss": 0.7525, + "step": 3474 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997842794498417e-05, + "loss": 0.7646, + "step": 3475 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997835739302194e-05, + "loss": 0.7866, + "step": 3476 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997828672588945e-05, + "loss": 0.8174, + "step": 3477 + }, + { + "epoch": 0.91, + "learning_rate": 1.999782159435868e-05, + "loss": 0.8539, + "step": 3478 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997814504611406e-05, + "loss": 0.6221, + "step": 3479 + }, + { + "epoch": 0.91, + "learning_rate": 1.999780740334713e-05, + "loss": 0.7786, + "step": 3480 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997800290565867e-05, + "loss": 0.8319, + "step": 3481 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997793166267622e-05, + "loss": 0.7159, + "step": 3482 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997786030452395e-05, + "loss": 0.9491, + "step": 3483 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997778883120203e-05, + "loss": 0.8041, + "step": 3484 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997771724271057e-05, + "loss": 0.9083, + "step": 3485 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997764553904956e-05, + "loss": 0.9607, + "step": 3486 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997757372021915e-05, + "loss": 0.7485, + "step": 3487 + }, + { + "epoch": 0.91, + "learning_rate": 1.999775017862194e-05, + "loss": 0.8485, + "step": 3488 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997742973705035e-05, + "loss": 0.7376, + "step": 3489 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997735757271215e-05, + "loss": 0.654, + "step": 3490 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997728529320487e-05, + "loss": 0.841, + "step": 3491 + }, + { + "epoch": 0.91, + "learning_rate": 1.999772128985286e-05, + "loss": 0.8107, + "step": 3492 + }, + { + "epoch": 0.91, + "learning_rate": 1.9997714038868334e-05, + "loss": 0.94, + "step": 3493 + }, + { + "epoch": 0.92, + "learning_rate": 1.999770677636693e-05, + "loss": 0.7056, + "step": 3494 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997699502348648e-05, + "loss": 0.6868, + "step": 3495 + }, + { + "epoch": 0.92, + "learning_rate": 1.99976922168135e-05, + "loss": 0.8607, + "step": 3496 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997684919761493e-05, + "loss": 0.9329, + "step": 3497 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997677611192632e-05, + "loss": 0.9555, + "step": 3498 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997670291106933e-05, + "loss": 0.8159, + "step": 3499 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997662959504397e-05, + "loss": 0.7914, + "step": 3500 + }, + { + "epoch": 0.92, + "learning_rate": 1.999765561638504e-05, + "loss": 0.9226, + "step": 3501 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997648261748862e-05, + "loss": 0.7875, + "step": 3502 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997640895595876e-05, + "loss": 0.7475, + "step": 3503 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997633517926092e-05, + "loss": 0.7681, + "step": 3504 + }, + { + "epoch": 0.92, + "learning_rate": 1.999762612873952e-05, + "loss": 0.9332, + "step": 3505 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997618728036157e-05, + "loss": 0.9116, + "step": 3506 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997611315816024e-05, + "loss": 0.8692, + "step": 3507 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997603892079126e-05, + "loss": 0.8009, + "step": 3508 + }, + { + "epoch": 0.92, + "learning_rate": 1.999759645682547e-05, + "loss": 0.9937, + "step": 3509 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997589010055067e-05, + "loss": 0.7194, + "step": 3510 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997581551767922e-05, + "loss": 0.63, + "step": 3511 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997574081964046e-05, + "loss": 0.7128, + "step": 3512 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997566600643447e-05, + "loss": 0.9095, + "step": 3513 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997559107806133e-05, + "loss": 0.8244, + "step": 3514 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997551603452115e-05, + "loss": 0.726, + "step": 3515 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997544087581397e-05, + "loss": 0.6365, + "step": 3516 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997536560193996e-05, + "loss": 0.9204, + "step": 3517 + }, + { + "epoch": 0.92, + "learning_rate": 1.999752902128991e-05, + "loss": 0.8917, + "step": 3518 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997521470869156e-05, + "loss": 0.8087, + "step": 3519 + }, + { + "epoch": 0.92, + "learning_rate": 1.999751390893174e-05, + "loss": 0.7362, + "step": 3520 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997506335477667e-05, + "loss": 0.8899, + "step": 3521 + }, + { + "epoch": 0.92, + "learning_rate": 1.999749875050695e-05, + "loss": 1.0043, + "step": 3522 + }, + { + "epoch": 0.92, + "learning_rate": 1.99974911540196e-05, + "loss": 0.9038, + "step": 3523 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997483546015625e-05, + "loss": 0.9163, + "step": 3524 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997475926495024e-05, + "loss": 0.7715, + "step": 3525 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997468295457816e-05, + "loss": 0.9741, + "step": 3526 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997460652904007e-05, + "loss": 0.9067, + "step": 3527 + }, + { + "epoch": 0.92, + "learning_rate": 1.999745299883361e-05, + "loss": 0.8171, + "step": 3528 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997445333246627e-05, + "loss": 0.7539, + "step": 3529 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997437656143065e-05, + "loss": 0.9517, + "step": 3530 + }, + { + "epoch": 0.92, + "learning_rate": 1.9997429967522942e-05, + "loss": 0.83, + "step": 3531 + }, + { + "epoch": 0.93, + "learning_rate": 1.999742226738626e-05, + "loss": 0.7412, + "step": 3532 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997414555733032e-05, + "loss": 0.8547, + "step": 3533 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997406832563265e-05, + "loss": 0.915, + "step": 3534 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997399097876968e-05, + "loss": 0.8137, + "step": 3535 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997391351674146e-05, + "loss": 0.8756, + "step": 3536 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997383593954813e-05, + "loss": 0.824, + "step": 3537 + }, + { + "epoch": 0.93, + "learning_rate": 1.999737582471898e-05, + "loss": 0.8918, + "step": 3538 + }, + { + "epoch": 0.93, + "learning_rate": 1.999736804396665e-05, + "loss": 0.7109, + "step": 3539 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997360251697832e-05, + "loss": 0.8261, + "step": 3540 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997352447912542e-05, + "loss": 0.862, + "step": 3541 + }, + { + "epoch": 0.93, + "learning_rate": 1.999734463261078e-05, + "loss": 0.7327, + "step": 3542 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997336805792564e-05, + "loss": 0.8238, + "step": 3543 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997328967457897e-05, + "loss": 0.9071, + "step": 3544 + }, + { + "epoch": 0.93, + "learning_rate": 1.999732111760679e-05, + "loss": 0.8991, + "step": 3545 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997313256239252e-05, + "loss": 0.7924, + "step": 3546 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997305383355287e-05, + "loss": 0.7627, + "step": 3547 + }, + { + "epoch": 0.93, + "learning_rate": 1.999729749895491e-05, + "loss": 0.6514, + "step": 3548 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997289603038133e-05, + "loss": 0.6829, + "step": 3549 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997281695604958e-05, + "loss": 0.9334, + "step": 3550 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997273776655394e-05, + "loss": 1.0054, + "step": 3551 + }, + { + "epoch": 0.93, + "learning_rate": 1.999726584618946e-05, + "loss": 0.8381, + "step": 3552 + }, + { + "epoch": 0.93, + "learning_rate": 1.999725790420715e-05, + "loss": 0.7445, + "step": 3553 + }, + { + "epoch": 0.93, + "learning_rate": 1.999724995070849e-05, + "loss": 0.7989, + "step": 3554 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997241985693475e-05, + "loss": 0.7949, + "step": 3555 + }, + { + "epoch": 0.93, + "learning_rate": 1.999723400916212e-05, + "loss": 0.8177, + "step": 3556 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997226021114434e-05, + "loss": 0.8469, + "step": 3557 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997218021550427e-05, + "loss": 0.714, + "step": 3558 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997210010470106e-05, + "loss": 0.7294, + "step": 3559 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997201987873484e-05, + "loss": 0.7219, + "step": 3560 + }, + { + "epoch": 0.93, + "learning_rate": 1.999719395376057e-05, + "loss": 0.8347, + "step": 3561 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997185908131366e-05, + "loss": 0.7597, + "step": 3562 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997177850985887e-05, + "loss": 0.9572, + "step": 3563 + }, + { + "epoch": 0.93, + "learning_rate": 1.999716978232414e-05, + "loss": 0.8718, + "step": 3564 + }, + { + "epoch": 0.93, + "learning_rate": 1.999716170214614e-05, + "loss": 1.0264, + "step": 3565 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997153610451892e-05, + "loss": 0.9309, + "step": 3566 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997145507241403e-05, + "loss": 0.7358, + "step": 3567 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997137392514685e-05, + "loss": 0.8251, + "step": 3568 + }, + { + "epoch": 0.93, + "learning_rate": 1.9997129266271747e-05, + "loss": 0.9672, + "step": 3569 + }, + { + "epoch": 0.94, + "learning_rate": 1.99971211285126e-05, + "loss": 0.8002, + "step": 3570 + }, + { + "epoch": 0.94, + "learning_rate": 1.999711297923725e-05, + "loss": 0.8599, + "step": 3571 + }, + { + "epoch": 0.94, + "learning_rate": 1.999710481844571e-05, + "loss": 0.8987, + "step": 3572 + }, + { + "epoch": 0.94, + "learning_rate": 1.999709664613799e-05, + "loss": 1.0715, + "step": 3573 + }, + { + "epoch": 0.94, + "learning_rate": 1.9997088462314095e-05, + "loss": 0.6654, + "step": 3574 + }, + { + "epoch": 0.94, + "learning_rate": 1.9997080266974035e-05, + "loss": 0.8741, + "step": 3575 + }, + { + "epoch": 0.94, + "learning_rate": 1.999707206011782e-05, + "loss": 0.7477, + "step": 3576 + }, + { + "epoch": 0.94, + "learning_rate": 1.9997063841745463e-05, + "loss": 0.7956, + "step": 3577 + }, + { + "epoch": 0.94, + "learning_rate": 1.9997055611856972e-05, + "loss": 0.8637, + "step": 3578 + }, + { + "epoch": 0.94, + "learning_rate": 1.999704737045235e-05, + "loss": 0.8856, + "step": 3579 + }, + { + "epoch": 0.94, + "learning_rate": 1.9997039117531617e-05, + "loss": 0.924, + "step": 3580 + }, + { + "epoch": 0.94, + "learning_rate": 1.9997030853094776e-05, + "loss": 0.8961, + "step": 3581 + }, + { + "epoch": 0.94, + "learning_rate": 1.9997022577141842e-05, + "loss": 0.8133, + "step": 3582 + }, + { + "epoch": 0.94, + "learning_rate": 1.9997014289672813e-05, + "loss": 0.8816, + "step": 3583 + }, + { + "epoch": 0.94, + "learning_rate": 1.999700599068771e-05, + "loss": 0.7086, + "step": 3584 + }, + { + "epoch": 0.94, + "learning_rate": 1.999699768018654e-05, + "loss": 1.0529, + "step": 3585 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996989358169307e-05, + "loss": 0.8491, + "step": 3586 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996981024636028e-05, + "loss": 0.7002, + "step": 3587 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996972679586706e-05, + "loss": 0.8526, + "step": 3588 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996964323021358e-05, + "loss": 0.9849, + "step": 3589 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996955954939987e-05, + "loss": 0.8055, + "step": 3590 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996947575342603e-05, + "loss": 1.032, + "step": 3591 + }, + { + "epoch": 0.94, + "learning_rate": 1.999693918422922e-05, + "loss": 0.7031, + "step": 3592 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996930781599846e-05, + "loss": 0.7065, + "step": 3593 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996922367454492e-05, + "loss": 0.8095, + "step": 3594 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996913941793163e-05, + "loss": 0.9176, + "step": 3595 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996905504615872e-05, + "loss": 0.7054, + "step": 3596 + }, + { + "epoch": 0.94, + "learning_rate": 1.999689705592263e-05, + "loss": 1.0991, + "step": 3597 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996888595713442e-05, + "loss": 0.7964, + "step": 3598 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996880123988324e-05, + "loss": 0.6694, + "step": 3599 + }, + { + "epoch": 0.94, + "learning_rate": 1.999687164074728e-05, + "loss": 0.7835, + "step": 3600 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996863145990323e-05, + "loss": 0.5773, + "step": 3601 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996854639717465e-05, + "loss": 0.9096, + "step": 3602 + }, + { + "epoch": 0.94, + "learning_rate": 1.999684612192871e-05, + "loss": 1.1153, + "step": 3603 + }, + { + "epoch": 0.94, + "learning_rate": 1.999683759262407e-05, + "loss": 0.7191, + "step": 3604 + }, + { + "epoch": 0.94, + "learning_rate": 1.9996829051803557e-05, + "loss": 1.063, + "step": 3605 + }, + { + "epoch": 0.94, + "learning_rate": 1.999682049946718e-05, + "loss": 0.822, + "step": 3606 + }, + { + "epoch": 0.94, + "learning_rate": 1.999681193561495e-05, + "loss": 0.885, + "step": 3607 + }, + { + "epoch": 0.95, + "learning_rate": 1.999680336024687e-05, + "loss": 0.7472, + "step": 3608 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996794773362956e-05, + "loss": 0.8571, + "step": 3609 + }, + { + "epoch": 0.95, + "learning_rate": 1.999678617496322e-05, + "loss": 0.6971, + "step": 3610 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996777565047668e-05, + "loss": 0.8266, + "step": 3611 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996768943616306e-05, + "loss": 0.9361, + "step": 3612 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996760310669156e-05, + "loss": 0.9637, + "step": 3613 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996751666206213e-05, + "loss": 0.9621, + "step": 3614 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996743010227498e-05, + "loss": 0.8882, + "step": 3615 + }, + { + "epoch": 0.95, + "learning_rate": 1.999673434273302e-05, + "loss": 0.91, + "step": 3616 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996725663722786e-05, + "loss": 0.7234, + "step": 3617 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996716973196802e-05, + "loss": 0.6765, + "step": 3618 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996708271155084e-05, + "loss": 0.8172, + "step": 3619 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996699557597644e-05, + "loss": 0.7377, + "step": 3620 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996690832524486e-05, + "loss": 0.9771, + "step": 3621 + }, + { + "epoch": 0.95, + "learning_rate": 1.999668209593562e-05, + "loss": 0.9349, + "step": 3622 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996673347831065e-05, + "loss": 0.9014, + "step": 3623 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996664588210818e-05, + "loss": 0.8632, + "step": 3624 + }, + { + "epoch": 0.95, + "learning_rate": 1.99966558170749e-05, + "loss": 0.652, + "step": 3625 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996647034423317e-05, + "loss": 0.7157, + "step": 3626 + }, + { + "epoch": 0.95, + "learning_rate": 1.999663824025608e-05, + "loss": 0.7066, + "step": 3627 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996629434573195e-05, + "loss": 0.8124, + "step": 3628 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996620617374677e-05, + "loss": 0.9755, + "step": 3629 + }, + { + "epoch": 0.95, + "learning_rate": 1.999661178866053e-05, + "loss": 0.8656, + "step": 3630 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996602948430773e-05, + "loss": 0.7739, + "step": 3631 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996594096685414e-05, + "loss": 0.7963, + "step": 3632 + }, + { + "epoch": 0.95, + "learning_rate": 1.999658523342446e-05, + "loss": 0.7717, + "step": 3633 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996576358647918e-05, + "loss": 0.7793, + "step": 3634 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996567472355805e-05, + "loss": 0.7365, + "step": 3635 + }, + { + "epoch": 0.95, + "learning_rate": 1.999655857454813e-05, + "loss": 0.8757, + "step": 3636 + }, + { + "epoch": 0.95, + "learning_rate": 1.99965496652249e-05, + "loss": 0.6587, + "step": 3637 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996540744386127e-05, + "loss": 0.7985, + "step": 3638 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996531812031824e-05, + "loss": 0.8687, + "step": 3639 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996522868161995e-05, + "loss": 0.8195, + "step": 3640 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996513912776656e-05, + "loss": 0.867, + "step": 3641 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996504945875815e-05, + "loss": 0.9413, + "step": 3642 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996495967459488e-05, + "loss": 0.731, + "step": 3643 + }, + { + "epoch": 0.95, + "learning_rate": 1.9996486977527672e-05, + "loss": 0.7162, + "step": 3644 + }, + { + "epoch": 0.95, + "learning_rate": 1.999647797608039e-05, + "loss": 0.8546, + "step": 3645 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996468963117647e-05, + "loss": 0.5744, + "step": 3646 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996459938639454e-05, + "loss": 0.6853, + "step": 3647 + }, + { + "epoch": 0.96, + "learning_rate": 1.999645090264582e-05, + "loss": 0.7244, + "step": 3648 + }, + { + "epoch": 0.96, + "learning_rate": 1.999644185513676e-05, + "loss": 0.9463, + "step": 3649 + }, + { + "epoch": 0.96, + "learning_rate": 1.999643279611228e-05, + "loss": 0.8902, + "step": 3650 + }, + { + "epoch": 0.96, + "learning_rate": 1.999642372557239e-05, + "loss": 0.8847, + "step": 3651 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996414643517106e-05, + "loss": 0.8712, + "step": 3652 + }, + { + "epoch": 0.96, + "learning_rate": 1.999640554994643e-05, + "loss": 0.7582, + "step": 3653 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996396444860382e-05, + "loss": 0.9824, + "step": 3654 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996387328258967e-05, + "loss": 0.7935, + "step": 3655 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996378200142193e-05, + "loss": 0.712, + "step": 3656 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996369060510074e-05, + "loss": 0.7115, + "step": 3657 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996359909362624e-05, + "loss": 0.8448, + "step": 3658 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996350746699845e-05, + "loss": 0.9445, + "step": 3659 + }, + { + "epoch": 0.96, + "learning_rate": 1.999634157252176e-05, + "loss": 0.7537, + "step": 3660 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996332386828364e-05, + "loss": 0.8267, + "step": 3661 + }, + { + "epoch": 0.96, + "learning_rate": 1.999632318961968e-05, + "loss": 0.9162, + "step": 3662 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996313980895713e-05, + "loss": 0.8019, + "step": 3663 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996304760656472e-05, + "loss": 0.8067, + "step": 3664 + }, + { + "epoch": 0.96, + "learning_rate": 1.999629552890197e-05, + "loss": 0.7899, + "step": 3665 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996286285632224e-05, + "loss": 0.6787, + "step": 3666 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996277030847233e-05, + "loss": 0.7441, + "step": 3667 + }, + { + "epoch": 0.96, + "learning_rate": 1.999626776454702e-05, + "loss": 0.8575, + "step": 3668 + }, + { + "epoch": 0.96, + "learning_rate": 1.999625848673158e-05, + "loss": 0.9, + "step": 3669 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996249197400938e-05, + "loss": 0.7487, + "step": 3670 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996239896555098e-05, + "loss": 0.7996, + "step": 3671 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996230584194072e-05, + "loss": 0.8477, + "step": 3672 + }, + { + "epoch": 0.96, + "learning_rate": 1.999622126031787e-05, + "loss": 0.7109, + "step": 3673 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996211924926504e-05, + "loss": 0.8749, + "step": 3674 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996202578019988e-05, + "loss": 0.8628, + "step": 3675 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996193219598324e-05, + "loss": 0.7163, + "step": 3676 + }, + { + "epoch": 0.96, + "learning_rate": 1.999618384966153e-05, + "loss": 0.7454, + "step": 3677 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996174468209614e-05, + "loss": 0.7088, + "step": 3678 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996165075242588e-05, + "loss": 0.8683, + "step": 3679 + }, + { + "epoch": 0.96, + "learning_rate": 1.999615567076046e-05, + "loss": 0.7373, + "step": 3680 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996146254763247e-05, + "loss": 0.9288, + "step": 3681 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996136827250955e-05, + "loss": 0.9596, + "step": 3682 + }, + { + "epoch": 0.96, + "learning_rate": 1.9996127388223593e-05, + "loss": 0.84, + "step": 3683 + }, + { + "epoch": 0.97, + "learning_rate": 1.9996117937681176e-05, + "loss": 0.7203, + "step": 3684 + }, + { + "epoch": 0.97, + "learning_rate": 1.9996108475623713e-05, + "loss": 0.6984, + "step": 3685 + }, + { + "epoch": 0.97, + "learning_rate": 1.9996099002051216e-05, + "loss": 0.7919, + "step": 3686 + }, + { + "epoch": 0.97, + "learning_rate": 1.9996089516963696e-05, + "loss": 0.6844, + "step": 3687 + }, + { + "epoch": 0.97, + "learning_rate": 1.9996080020361166e-05, + "loss": 0.8879, + "step": 3688 + }, + { + "epoch": 0.97, + "learning_rate": 1.9996070512243627e-05, + "loss": 1.0573, + "step": 3689 + }, + { + "epoch": 0.97, + "learning_rate": 1.9996060992611104e-05, + "loss": 0.752, + "step": 3690 + }, + { + "epoch": 0.97, + "learning_rate": 1.99960514614636e-05, + "loss": 0.7237, + "step": 3691 + }, + { + "epoch": 0.97, + "learning_rate": 1.9996041918801126e-05, + "loss": 0.6536, + "step": 3692 + }, + { + "epoch": 0.97, + "learning_rate": 1.9996032364623693e-05, + "loss": 1.0499, + "step": 3693 + }, + { + "epoch": 0.97, + "learning_rate": 1.9996022798931315e-05, + "loss": 0.7716, + "step": 3694 + }, + { + "epoch": 0.97, + "learning_rate": 1.9996013221723998e-05, + "loss": 0.8606, + "step": 3695 + }, + { + "epoch": 0.97, + "learning_rate": 1.999600363300176e-05, + "loss": 0.8004, + "step": 3696 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995994032764603e-05, + "loss": 0.9224, + "step": 3697 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995984421012545e-05, + "loss": 0.8944, + "step": 3698 + }, + { + "epoch": 0.97, + "learning_rate": 1.99959747977456e-05, + "loss": 0.6653, + "step": 3699 + }, + { + "epoch": 0.97, + "learning_rate": 1.999596516296377e-05, + "loss": 0.7418, + "step": 3700 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995955516667075e-05, + "loss": 0.7144, + "step": 3701 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995945858855517e-05, + "loss": 0.7527, + "step": 3702 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995936189529112e-05, + "loss": 0.748, + "step": 3703 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995926508687873e-05, + "loss": 0.6442, + "step": 3704 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995916816331808e-05, + "loss": 0.9109, + "step": 3705 + }, + { + "epoch": 0.97, + "learning_rate": 1.999590711246093e-05, + "loss": 0.884, + "step": 3706 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995897397075247e-05, + "loss": 0.7732, + "step": 3707 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995887670174776e-05, + "loss": 0.8157, + "step": 3708 + }, + { + "epoch": 0.97, + "learning_rate": 1.999587793175952e-05, + "loss": 0.7805, + "step": 3709 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995868181829502e-05, + "loss": 0.8307, + "step": 3710 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995858420384723e-05, + "loss": 0.813, + "step": 3711 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995848647425195e-05, + "loss": 0.8865, + "step": 3712 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995838862950932e-05, + "loss": 0.846, + "step": 3713 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995829066961948e-05, + "loss": 0.9142, + "step": 3714 + }, + { + "epoch": 0.97, + "learning_rate": 1.999581925945825e-05, + "loss": 0.9247, + "step": 3715 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995809440439854e-05, + "loss": 0.9329, + "step": 3716 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995799609906765e-05, + "loss": 0.9856, + "step": 3717 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995789767858995e-05, + "loss": 0.8592, + "step": 3718 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995779914296557e-05, + "loss": 0.7139, + "step": 3719 + }, + { + "epoch": 0.97, + "learning_rate": 1.9995770049219466e-05, + "loss": 0.7016, + "step": 3720 + }, + { + "epoch": 0.97, + "learning_rate": 1.999576017262773e-05, + "loss": 0.8224, + "step": 3721 + }, + { + "epoch": 0.97, + "learning_rate": 1.999575028452136e-05, + "loss": 0.8437, + "step": 3722 + }, + { + "epoch": 0.98, + "learning_rate": 1.999574038490037e-05, + "loss": 0.6318, + "step": 3723 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995730473764766e-05, + "loss": 0.7101, + "step": 3724 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995720551114564e-05, + "loss": 0.4902, + "step": 3725 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995710616949776e-05, + "loss": 0.7076, + "step": 3726 + }, + { + "epoch": 0.98, + "learning_rate": 1.999570067127041e-05, + "loss": 0.8466, + "step": 3727 + }, + { + "epoch": 0.98, + "learning_rate": 1.999569071407648e-05, + "loss": 0.9808, + "step": 3728 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995680745367995e-05, + "loss": 0.8824, + "step": 3729 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995670765144973e-05, + "loss": 0.8265, + "step": 3730 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995660773407417e-05, + "loss": 0.9371, + "step": 3731 + }, + { + "epoch": 0.98, + "learning_rate": 1.999565077015534e-05, + "loss": 0.801, + "step": 3732 + }, + { + "epoch": 0.98, + "learning_rate": 1.999564075538876e-05, + "loss": 0.7167, + "step": 3733 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995630729107683e-05, + "loss": 0.6287, + "step": 3734 + }, + { + "epoch": 0.98, + "learning_rate": 1.999562069131212e-05, + "loss": 0.6819, + "step": 3735 + }, + { + "epoch": 0.98, + "learning_rate": 1.999561064200209e-05, + "loss": 0.7448, + "step": 3736 + }, + { + "epoch": 0.98, + "learning_rate": 1.999560058117759e-05, + "loss": 0.7411, + "step": 3737 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995590508838646e-05, + "loss": 0.7375, + "step": 3738 + }, + { + "epoch": 0.98, + "learning_rate": 1.999558042498526e-05, + "loss": 0.7484, + "step": 3739 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995570329617454e-05, + "loss": 0.6792, + "step": 3740 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995560222735228e-05, + "loss": 0.768, + "step": 3741 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995550104338605e-05, + "loss": 0.6763, + "step": 3742 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995539974427585e-05, + "loss": 0.7547, + "step": 3743 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995529833002187e-05, + "loss": 0.8483, + "step": 3744 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995519680062422e-05, + "loss": 0.8767, + "step": 3745 + }, + { + "epoch": 0.98, + "learning_rate": 1.99955095156083e-05, + "loss": 0.8215, + "step": 3746 + }, + { + "epoch": 0.98, + "learning_rate": 1.999549933963983e-05, + "loss": 0.8674, + "step": 3747 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995489152157033e-05, + "loss": 0.8746, + "step": 3748 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995478953159913e-05, + "loss": 0.7189, + "step": 3749 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995468742648484e-05, + "loss": 0.7997, + "step": 3750 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995458520622754e-05, + "loss": 0.8065, + "step": 3751 + }, + { + "epoch": 0.98, + "learning_rate": 1.999544828708274e-05, + "loss": 0.9693, + "step": 3752 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995438042028456e-05, + "loss": 0.8222, + "step": 3753 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995427785459905e-05, + "loss": 0.7079, + "step": 3754 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995417517377104e-05, + "loss": 0.9701, + "step": 3755 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995407237780066e-05, + "loss": 0.6465, + "step": 3756 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995396946668797e-05, + "loss": 0.773, + "step": 3757 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995386644043318e-05, + "loss": 0.6647, + "step": 3758 + }, + { + "epoch": 0.98, + "learning_rate": 1.9995376329903635e-05, + "loss": 0.8283, + "step": 3759 + }, + { + "epoch": 0.98, + "learning_rate": 1.999536600424976e-05, + "loss": 0.8096, + "step": 3760 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995355667081708e-05, + "loss": 0.9129, + "step": 3761 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995345318399483e-05, + "loss": 0.8811, + "step": 3762 + }, + { + "epoch": 0.99, + "learning_rate": 1.999533495820311e-05, + "loss": 0.8106, + "step": 3763 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995324586492586e-05, + "loss": 0.6355, + "step": 3764 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995314203267934e-05, + "loss": 0.6251, + "step": 3765 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995303808529164e-05, + "loss": 0.9238, + "step": 3766 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995293402276285e-05, + "loss": 0.9221, + "step": 3767 + }, + { + "epoch": 0.99, + "learning_rate": 1.999528298450931e-05, + "loss": 0.8728, + "step": 3768 + }, + { + "epoch": 0.99, + "learning_rate": 1.999527255522825e-05, + "loss": 1.0485, + "step": 3769 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995262114433122e-05, + "loss": 0.6635, + "step": 3770 + }, + { + "epoch": 0.99, + "learning_rate": 1.999525166212393e-05, + "loss": 0.7538, + "step": 3771 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995241198300693e-05, + "loss": 1.01, + "step": 3772 + }, + { + "epoch": 0.99, + "learning_rate": 1.999523072296342e-05, + "loss": 0.7639, + "step": 3773 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995220236112124e-05, + "loss": 0.7691, + "step": 3774 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995209737746818e-05, + "loss": 0.8473, + "step": 3775 + }, + { + "epoch": 0.99, + "learning_rate": 1.999519922786751e-05, + "loss": 0.9941, + "step": 3776 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995188706474215e-05, + "loss": 0.8331, + "step": 3777 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995178173566945e-05, + "loss": 0.7957, + "step": 3778 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995167629145717e-05, + "loss": 0.7237, + "step": 3779 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995157073210532e-05, + "loss": 0.7309, + "step": 3780 + }, + { + "epoch": 0.99, + "learning_rate": 1.999514650576141e-05, + "loss": 0.8185, + "step": 3781 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995135926798362e-05, + "loss": 0.8204, + "step": 3782 + }, + { + "epoch": 0.99, + "learning_rate": 1.99951253363214e-05, + "loss": 0.6248, + "step": 3783 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995114734330537e-05, + "loss": 0.6952, + "step": 3784 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995104120825782e-05, + "loss": 0.8722, + "step": 3785 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995093495807153e-05, + "loss": 0.9055, + "step": 3786 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995082859274655e-05, + "loss": 0.7147, + "step": 3787 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995072211228307e-05, + "loss": 0.8805, + "step": 3788 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995061551668114e-05, + "loss": 0.8, + "step": 3789 + }, + { + "epoch": 0.99, + "learning_rate": 1.9995050880594094e-05, + "loss": 0.7097, + "step": 3790 + }, + { + "epoch": 0.99, + "learning_rate": 1.999504019800626e-05, + "loss": 0.6832, + "step": 3791 + }, + { + "epoch": 0.99, + "learning_rate": 1.999502950390462e-05, + "loss": 0.7647, + "step": 3792 + }, + { + "epoch": 0.99, + "learning_rate": 1.999501879828919e-05, + "loss": 0.8075, + "step": 3793 + }, + { + "epoch": 0.99, + "learning_rate": 1.999500808115998e-05, + "loss": 0.7763, + "step": 3794 + }, + { + "epoch": 0.99, + "learning_rate": 1.9994997352517002e-05, + "loss": 0.8018, + "step": 3795 + }, + { + "epoch": 0.99, + "learning_rate": 1.999498661236027e-05, + "loss": 0.7989, + "step": 3796 + }, + { + "epoch": 0.99, + "learning_rate": 1.9994975860689797e-05, + "loss": 0.8296, + "step": 3797 + }, + { + "epoch": 0.99, + "learning_rate": 1.9994965097505593e-05, + "loss": 0.8448, + "step": 3798 + }, + { + "epoch": 1.0, + "learning_rate": 1.999495432280767e-05, + "loss": 0.8423, + "step": 3799 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994943536596045e-05, + "loss": 0.8286, + "step": 3800 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994932738870724e-05, + "loss": 0.913, + "step": 3801 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994921929631726e-05, + "loss": 0.685, + "step": 3802 + }, + { + "epoch": 1.0, + "learning_rate": 1.999491110887906e-05, + "loss": 0.9005, + "step": 3803 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994900276612738e-05, + "loss": 0.8113, + "step": 3804 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994889432832773e-05, + "loss": 0.8832, + "step": 3805 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994878577539177e-05, + "loss": 0.6449, + "step": 3806 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994867710731963e-05, + "loss": 0.6954, + "step": 3807 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994856832411146e-05, + "loss": 0.8403, + "step": 3808 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994845942576732e-05, + "loss": 0.58, + "step": 3809 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994835041228742e-05, + "loss": 0.8037, + "step": 3810 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994824128367182e-05, + "loss": 0.8683, + "step": 3811 + }, + { + "epoch": 1.0, + "learning_rate": 1.999481320399207e-05, + "loss": 0.6816, + "step": 3812 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994802268103413e-05, + "loss": 0.765, + "step": 3813 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994791320701225e-05, + "loss": 0.7548, + "step": 3814 + }, + { + "epoch": 1.0, + "learning_rate": 1.999478036178552e-05, + "loss": 0.7194, + "step": 3815 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994769391356315e-05, + "loss": 0.8224, + "step": 3816 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994758409413614e-05, + "loss": 0.9312, + "step": 3817 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994747415957435e-05, + "loss": 0.8979, + "step": 3818 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994736410987788e-05, + "loss": 0.7527, + "step": 3819 + }, + { + "epoch": 1.0, + "learning_rate": 1.999472539450469e-05, + "loss": 1.0855, + "step": 3820 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994714366508146e-05, + "loss": 0.8183, + "step": 3821 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994703326998176e-05, + "loss": 0.6974, + "step": 3822 + }, + { + "epoch": 1.0, + "learning_rate": 1.999469227597479e-05, + "loss": 0.5947, + "step": 3823 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994681213438e-05, + "loss": 0.8285, + "step": 3824 + }, + { + "epoch": 1.0, + "learning_rate": 1.999467013938782e-05, + "loss": 0.732, + "step": 3825 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994659053824263e-05, + "loss": 0.6669, + "step": 3826 + }, + { + "epoch": 1.0, + "learning_rate": 1.999464795674734e-05, + "loss": 0.6872, + "step": 3827 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994636848157067e-05, + "loss": 0.8763, + "step": 3828 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994625728053453e-05, + "loss": 0.6813, + "step": 3829 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994614596436513e-05, + "loss": 0.5293, + "step": 3830 + }, + { + "epoch": 1.0, + "learning_rate": 1.999460345330626e-05, + "loss": 0.7923, + "step": 3831 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994592298662704e-05, + "loss": 0.9079, + "step": 3832 + }, + { + "epoch": 1.0, + "learning_rate": 1.999458113250586e-05, + "loss": 0.7625, + "step": 3833 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994569954835744e-05, + "loss": 0.9081, + "step": 3834 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994558765652365e-05, + "loss": 0.7833, + "step": 3835 + }, + { + "epoch": 1.0, + "learning_rate": 1.9994547564955734e-05, + "loss": 0.834, + "step": 3836 + }, + { + "epoch": 1.01, + "learning_rate": 1.999453635274587e-05, + "loss": 0.6591, + "step": 3837 + }, + { + "epoch": 1.01, + "learning_rate": 1.999452512902278e-05, + "loss": 0.7221, + "step": 3838 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994513893786478e-05, + "loss": 0.69, + "step": 3839 + }, + { + "epoch": 1.01, + "learning_rate": 1.999450264703698e-05, + "loss": 0.6819, + "step": 3840 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994491388774298e-05, + "loss": 0.7264, + "step": 3841 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994480118998444e-05, + "loss": 0.5804, + "step": 3842 + }, + { + "epoch": 1.01, + "learning_rate": 1.999446883770943e-05, + "loss": 0.8809, + "step": 3843 + }, + { + "epoch": 1.01, + "learning_rate": 1.999445754490727e-05, + "loss": 0.7167, + "step": 3844 + }, + { + "epoch": 1.01, + "learning_rate": 1.999444624059198e-05, + "loss": 0.9152, + "step": 3845 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994434924763568e-05, + "loss": 0.833, + "step": 3846 + }, + { + "epoch": 1.01, + "learning_rate": 1.999442359742205e-05, + "loss": 0.9512, + "step": 3847 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994412258567438e-05, + "loss": 0.819, + "step": 3848 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994400908199747e-05, + "loss": 0.7939, + "step": 3849 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994389546318988e-05, + "loss": 0.9623, + "step": 3850 + }, + { + "epoch": 1.01, + "learning_rate": 1.999437817292517e-05, + "loss": 0.9727, + "step": 3851 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994366788018315e-05, + "loss": 0.703, + "step": 3852 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994355391598432e-05, + "loss": 0.6167, + "step": 3853 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994343983665532e-05, + "loss": 0.7539, + "step": 3854 + }, + { + "epoch": 1.01, + "learning_rate": 1.999433256421963e-05, + "loss": 0.8801, + "step": 3855 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994321133260743e-05, + "loss": 0.6654, + "step": 3856 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994309690788874e-05, + "loss": 0.8583, + "step": 3857 + }, + { + "epoch": 1.01, + "learning_rate": 1.999429823680405e-05, + "loss": 0.6478, + "step": 3858 + }, + { + "epoch": 1.01, + "learning_rate": 1.999428677130627e-05, + "loss": 0.8394, + "step": 3859 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994275294295557e-05, + "loss": 0.7233, + "step": 3860 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994263805771924e-05, + "loss": 0.7776, + "step": 3861 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994252305735378e-05, + "loss": 0.7617, + "step": 3862 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994240794185937e-05, + "loss": 0.8825, + "step": 3863 + }, + { + "epoch": 1.01, + "learning_rate": 1.999422927112361e-05, + "loss": 0.8188, + "step": 3864 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994217736548415e-05, + "loss": 0.7816, + "step": 3865 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994206190460365e-05, + "loss": 0.888, + "step": 3866 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994194632859466e-05, + "loss": 0.8276, + "step": 3867 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994183063745744e-05, + "loss": 0.6227, + "step": 3868 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994171483119204e-05, + "loss": 0.8603, + "step": 3869 + }, + { + "epoch": 1.01, + "learning_rate": 1.999415989097986e-05, + "loss": 0.7538, + "step": 3870 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994148287327725e-05, + "loss": 0.9564, + "step": 3871 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994136672162813e-05, + "loss": 0.7391, + "step": 3872 + }, + { + "epoch": 1.01, + "learning_rate": 1.999412504548514e-05, + "loss": 0.7712, + "step": 3873 + }, + { + "epoch": 1.01, + "learning_rate": 1.9994113407294716e-05, + "loss": 1.0765, + "step": 3874 + }, + { + "epoch": 1.02, + "learning_rate": 1.9994101757591555e-05, + "loss": 0.8116, + "step": 3875 + }, + { + "epoch": 1.02, + "learning_rate": 1.9994090096375675e-05, + "loss": 0.923, + "step": 3876 + }, + { + "epoch": 1.02, + "learning_rate": 1.999407842364708e-05, + "loss": 0.8856, + "step": 3877 + }, + { + "epoch": 1.02, + "learning_rate": 1.999406673940579e-05, + "loss": 0.8299, + "step": 3878 + }, + { + "epoch": 1.02, + "learning_rate": 1.9994055043651822e-05, + "loss": 0.8291, + "step": 3879 + }, + { + "epoch": 1.02, + "learning_rate": 1.999404333638518e-05, + "loss": 0.6604, + "step": 3880 + }, + { + "epoch": 1.02, + "learning_rate": 1.9994031617605888e-05, + "loss": 1.024, + "step": 3881 + }, + { + "epoch": 1.02, + "learning_rate": 1.999401988731395e-05, + "loss": 0.7648, + "step": 3882 + }, + { + "epoch": 1.02, + "learning_rate": 1.999400814550938e-05, + "loss": 0.8842, + "step": 3883 + }, + { + "epoch": 1.02, + "learning_rate": 1.99939963921922e-05, + "loss": 0.6048, + "step": 3884 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993984627362418e-05, + "loss": 0.8009, + "step": 3885 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993972851020045e-05, + "loss": 0.9216, + "step": 3886 + }, + { + "epoch": 1.02, + "learning_rate": 1.99939610631651e-05, + "loss": 0.5949, + "step": 3887 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993949263797596e-05, + "loss": 0.617, + "step": 3888 + }, + { + "epoch": 1.02, + "learning_rate": 1.999393745291754e-05, + "loss": 0.7511, + "step": 3889 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993925630524953e-05, + "loss": 0.7268, + "step": 3890 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993913796619844e-05, + "loss": 0.8632, + "step": 3891 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993901951202233e-05, + "loss": 0.6842, + "step": 3892 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993890094272122e-05, + "loss": 0.6688, + "step": 3893 + }, + { + "epoch": 1.02, + "learning_rate": 1.999387822582954e-05, + "loss": 0.7769, + "step": 3894 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993866345874488e-05, + "loss": 0.7345, + "step": 3895 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993854454406985e-05, + "loss": 0.7903, + "step": 3896 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993842551427044e-05, + "loss": 0.6919, + "step": 3897 + }, + { + "epoch": 1.02, + "learning_rate": 1.999383063693468e-05, + "loss": 0.9316, + "step": 3898 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993818710929905e-05, + "loss": 0.7105, + "step": 3899 + }, + { + "epoch": 1.02, + "learning_rate": 1.999380677341273e-05, + "loss": 0.952, + "step": 3900 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993794824383176e-05, + "loss": 0.7496, + "step": 3901 + }, + { + "epoch": 1.02, + "learning_rate": 1.999378286384125e-05, + "loss": 0.7736, + "step": 3902 + }, + { + "epoch": 1.02, + "learning_rate": 1.999377089178697e-05, + "loss": 0.759, + "step": 3903 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993758908220347e-05, + "loss": 0.8776, + "step": 3904 + }, + { + "epoch": 1.02, + "learning_rate": 1.99937469131414e-05, + "loss": 1.1241, + "step": 3905 + }, + { + "epoch": 1.02, + "learning_rate": 1.999373490655013e-05, + "loss": 0.779, + "step": 3906 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993722888446568e-05, + "loss": 0.7676, + "step": 3907 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993710858830716e-05, + "loss": 0.7483, + "step": 3908 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993698817702594e-05, + "loss": 0.8149, + "step": 3909 + }, + { + "epoch": 1.02, + "learning_rate": 1.999368676506221e-05, + "loss": 0.6952, + "step": 3910 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993674700909583e-05, + "loss": 0.7692, + "step": 3911 + }, + { + "epoch": 1.02, + "learning_rate": 1.9993662625244723e-05, + "loss": 0.9388, + "step": 3912 + }, + { + "epoch": 1.03, + "learning_rate": 1.999365053806765e-05, + "loss": 0.6909, + "step": 3913 + }, + { + "epoch": 1.03, + "learning_rate": 1.999363843937837e-05, + "loss": 0.8208, + "step": 3914 + }, + { + "epoch": 1.03, + "learning_rate": 1.99936263291769e-05, + "loss": 0.7695, + "step": 3915 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993614207463257e-05, + "loss": 0.735, + "step": 3916 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993602074237454e-05, + "loss": 1.052, + "step": 3917 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993589929499503e-05, + "loss": 0.7013, + "step": 3918 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993577773249417e-05, + "loss": 0.673, + "step": 3919 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993565605487213e-05, + "loss": 0.6873, + "step": 3920 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993553426212904e-05, + "loss": 0.7254, + "step": 3921 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993541235426502e-05, + "loss": 0.807, + "step": 3922 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993529033128025e-05, + "loss": 0.6756, + "step": 3923 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993516819317485e-05, + "loss": 0.7561, + "step": 3924 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993504593994894e-05, + "loss": 0.6852, + "step": 3925 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993492357160267e-05, + "loss": 0.7704, + "step": 3926 + }, + { + "epoch": 1.03, + "learning_rate": 1.999348010881362e-05, + "loss": 0.7801, + "step": 3927 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993467848954967e-05, + "loss": 0.7024, + "step": 3928 + }, + { + "epoch": 1.03, + "learning_rate": 1.999345557758432e-05, + "loss": 0.7446, + "step": 3929 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993443294701697e-05, + "loss": 0.6015, + "step": 3930 + }, + { + "epoch": 1.03, + "learning_rate": 1.999343100030711e-05, + "loss": 0.7548, + "step": 3931 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993418694400568e-05, + "loss": 0.5978, + "step": 3932 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993406376982093e-05, + "loss": 0.6511, + "step": 3933 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993394048051696e-05, + "loss": 0.6749, + "step": 3934 + }, + { + "epoch": 1.03, + "learning_rate": 1.999338170760939e-05, + "loss": 0.7413, + "step": 3935 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993369355655195e-05, + "loss": 0.703, + "step": 3936 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993356992189116e-05, + "loss": 0.7016, + "step": 3937 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993344617211175e-05, + "loss": 0.7645, + "step": 3938 + }, + { + "epoch": 1.03, + "learning_rate": 1.999333223072138e-05, + "loss": 0.7863, + "step": 3939 + }, + { + "epoch": 1.03, + "learning_rate": 1.999331983271975e-05, + "loss": 0.8319, + "step": 3940 + }, + { + "epoch": 1.03, + "learning_rate": 1.99933074232063e-05, + "loss": 0.7837, + "step": 3941 + }, + { + "epoch": 1.03, + "learning_rate": 1.999329500218104e-05, + "loss": 0.6303, + "step": 3942 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993282569643987e-05, + "loss": 0.8997, + "step": 3943 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993270125595154e-05, + "loss": 0.8073, + "step": 3944 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993257670034557e-05, + "loss": 0.8009, + "step": 3945 + }, + { + "epoch": 1.03, + "learning_rate": 1.999324520296221e-05, + "loss": 0.7607, + "step": 3946 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993232724378126e-05, + "loss": 0.6074, + "step": 3947 + }, + { + "epoch": 1.03, + "learning_rate": 1.999322023428232e-05, + "loss": 0.6459, + "step": 3948 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993207732674805e-05, + "loss": 0.6961, + "step": 3949 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993195219555595e-05, + "loss": 0.8114, + "step": 3950 + }, + { + "epoch": 1.03, + "learning_rate": 1.9993182694924713e-05, + "loss": 0.7063, + "step": 3951 + }, + { + "epoch": 1.04, + "learning_rate": 1.9993170158782162e-05, + "loss": 0.8115, + "step": 3952 + }, + { + "epoch": 1.04, + "learning_rate": 1.9993157611127965e-05, + "loss": 0.8621, + "step": 3953 + }, + { + "epoch": 1.04, + "learning_rate": 1.999314505196213e-05, + "loss": 0.8568, + "step": 3954 + }, + { + "epoch": 1.04, + "learning_rate": 1.9993132481284677e-05, + "loss": 0.9638, + "step": 3955 + }, + { + "epoch": 1.04, + "learning_rate": 1.9993119899095613e-05, + "loss": 0.6443, + "step": 3956 + }, + { + "epoch": 1.04, + "learning_rate": 1.999310730539496e-05, + "loss": 0.7019, + "step": 3957 + }, + { + "epoch": 1.04, + "learning_rate": 1.9993094700182727e-05, + "loss": 0.9038, + "step": 3958 + }, + { + "epoch": 1.04, + "learning_rate": 1.9993082083458933e-05, + "loss": 0.8837, + "step": 3959 + }, + { + "epoch": 1.04, + "learning_rate": 1.9993069455223592e-05, + "loss": 0.6448, + "step": 3960 + }, + { + "epoch": 1.04, + "learning_rate": 1.9993056815476718e-05, + "loss": 0.8049, + "step": 3961 + }, + { + "epoch": 1.04, + "learning_rate": 1.9993044164218323e-05, + "loss": 0.8014, + "step": 3962 + }, + { + "epoch": 1.04, + "learning_rate": 1.9993031501448422e-05, + "loss": 0.8168, + "step": 3963 + }, + { + "epoch": 1.04, + "learning_rate": 1.9993018827167032e-05, + "loss": 0.7292, + "step": 3964 + }, + { + "epoch": 1.04, + "learning_rate": 1.9993006141374166e-05, + "loss": 0.8145, + "step": 3965 + }, + { + "epoch": 1.04, + "learning_rate": 1.999299344406984e-05, + "loss": 0.651, + "step": 3966 + }, + { + "epoch": 1.04, + "learning_rate": 1.999298073525407e-05, + "loss": 0.8538, + "step": 3967 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992968014926864e-05, + "loss": 0.6576, + "step": 3968 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992955283088243e-05, + "loss": 0.6501, + "step": 3969 + }, + { + "epoch": 1.04, + "learning_rate": 1.999294253973822e-05, + "loss": 0.8042, + "step": 3970 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992929784876815e-05, + "loss": 0.8571, + "step": 3971 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992917018504027e-05, + "loss": 0.6899, + "step": 3972 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992904240619886e-05, + "loss": 0.9957, + "step": 3973 + }, + { + "epoch": 1.04, + "learning_rate": 1.99928914512244e-05, + "loss": 0.819, + "step": 3974 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992878650317588e-05, + "loss": 0.5324, + "step": 3975 + }, + { + "epoch": 1.04, + "learning_rate": 1.999286583789946e-05, + "loss": 0.7271, + "step": 3976 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992853013970034e-05, + "loss": 0.6885, + "step": 3977 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992840178529326e-05, + "loss": 0.7642, + "step": 3978 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992827331577342e-05, + "loss": 0.7588, + "step": 3979 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992814473114106e-05, + "loss": 0.7853, + "step": 3980 + }, + { + "epoch": 1.04, + "learning_rate": 1.999280160313963e-05, + "loss": 0.9966, + "step": 3981 + }, + { + "epoch": 1.04, + "learning_rate": 1.999278872165393e-05, + "loss": 0.9892, + "step": 3982 + }, + { + "epoch": 1.04, + "learning_rate": 1.999277582865702e-05, + "loss": 0.8447, + "step": 3983 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992762924148913e-05, + "loss": 0.8376, + "step": 3984 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992750008129625e-05, + "loss": 0.8731, + "step": 3985 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992737080599173e-05, + "loss": 0.7269, + "step": 3986 + }, + { + "epoch": 1.04, + "learning_rate": 1.999272414155757e-05, + "loss": 0.805, + "step": 3987 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992711191004828e-05, + "loss": 0.8749, + "step": 3988 + }, + { + "epoch": 1.04, + "learning_rate": 1.9992698228940965e-05, + "loss": 0.8617, + "step": 3989 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992685255366e-05, + "loss": 0.679, + "step": 3990 + }, + { + "epoch": 1.05, + "learning_rate": 1.999267227027994e-05, + "loss": 0.8094, + "step": 3991 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992659273682807e-05, + "loss": 0.8359, + "step": 3992 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992646265574612e-05, + "loss": 0.8703, + "step": 3993 + }, + { + "epoch": 1.05, + "learning_rate": 1.999263324595537e-05, + "loss": 0.8909, + "step": 3994 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992620214825096e-05, + "loss": 0.9042, + "step": 3995 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992607172183805e-05, + "loss": 0.6699, + "step": 3996 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992594118031516e-05, + "loss": 0.9438, + "step": 3997 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992581052368236e-05, + "loss": 0.8526, + "step": 3998 + }, + { + "epoch": 1.05, + "learning_rate": 1.999256797519399e-05, + "loss": 0.7965, + "step": 3999 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992554886508782e-05, + "loss": 0.8797, + "step": 4000 + }, + { + "epoch": 1.05, + "learning_rate": 1.999254178631264e-05, + "loss": 0.6969, + "step": 4001 + }, + { + "epoch": 1.05, + "learning_rate": 1.999252867460557e-05, + "loss": 0.7435, + "step": 4002 + }, + { + "epoch": 1.05, + "learning_rate": 1.999251555138759e-05, + "loss": 0.7849, + "step": 4003 + }, + { + "epoch": 1.05, + "learning_rate": 1.999250241665871e-05, + "loss": 0.8372, + "step": 4004 + }, + { + "epoch": 1.05, + "learning_rate": 1.999248927041895e-05, + "loss": 0.8563, + "step": 4005 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992476112668328e-05, + "loss": 0.8848, + "step": 4006 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992462943406853e-05, + "loss": 0.8819, + "step": 4007 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992449762634546e-05, + "loss": 0.8806, + "step": 4008 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992436570351414e-05, + "loss": 0.9235, + "step": 4009 + }, + { + "epoch": 1.05, + "learning_rate": 1.999242336655748e-05, + "loss": 0.7886, + "step": 4010 + }, + { + "epoch": 1.05, + "learning_rate": 1.999241015125276e-05, + "loss": 0.7139, + "step": 4011 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992396924437262e-05, + "loss": 0.7476, + "step": 4012 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992383686111004e-05, + "loss": 0.8484, + "step": 4013 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992370436274006e-05, + "loss": 0.7203, + "step": 4014 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992357174926277e-05, + "loss": 0.7767, + "step": 4015 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992343902067835e-05, + "loss": 0.7123, + "step": 4016 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992330617698696e-05, + "loss": 0.6813, + "step": 4017 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992317321818874e-05, + "loss": 0.801, + "step": 4018 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992304014428382e-05, + "loss": 0.8597, + "step": 4019 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992290695527238e-05, + "loss": 0.753, + "step": 4020 + }, + { + "epoch": 1.05, + "learning_rate": 1.999227736511546e-05, + "loss": 0.6832, + "step": 4021 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992264023193063e-05, + "loss": 0.7649, + "step": 4022 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992250669760052e-05, + "loss": 0.8403, + "step": 4023 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992237304816457e-05, + "loss": 0.6846, + "step": 4024 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992223928362287e-05, + "loss": 0.6766, + "step": 4025 + }, + { + "epoch": 1.05, + "learning_rate": 1.9992210540397556e-05, + "loss": 0.7659, + "step": 4026 + }, + { + "epoch": 1.05, + "learning_rate": 1.999219714092228e-05, + "loss": 0.7816, + "step": 4027 + }, + { + "epoch": 1.06, + "learning_rate": 1.9992183729936475e-05, + "loss": 0.9746, + "step": 4028 + }, + { + "epoch": 1.06, + "learning_rate": 1.999217030744016e-05, + "loss": 0.74, + "step": 4029 + }, + { + "epoch": 1.06, + "learning_rate": 1.9992156873433342e-05, + "loss": 0.8857, + "step": 4030 + }, + { + "epoch": 1.06, + "learning_rate": 1.9992143427916043e-05, + "loss": 0.8075, + "step": 4031 + }, + { + "epoch": 1.06, + "learning_rate": 1.9992129970888277e-05, + "loss": 0.7422, + "step": 4032 + }, + { + "epoch": 1.06, + "learning_rate": 1.9992116502350062e-05, + "loss": 0.5861, + "step": 4033 + }, + { + "epoch": 1.06, + "learning_rate": 1.9992103022301408e-05, + "loss": 0.7551, + "step": 4034 + }, + { + "epoch": 1.06, + "learning_rate": 1.9992089530742335e-05, + "loss": 0.673, + "step": 4035 + }, + { + "epoch": 1.06, + "learning_rate": 1.9992076027672857e-05, + "loss": 0.8073, + "step": 4036 + }, + { + "epoch": 1.06, + "learning_rate": 1.999206251309299e-05, + "loss": 0.7393, + "step": 4037 + }, + { + "epoch": 1.06, + "learning_rate": 1.9992048987002745e-05, + "loss": 0.7495, + "step": 4038 + }, + { + "epoch": 1.06, + "learning_rate": 1.9992035449402146e-05, + "loss": 0.8402, + "step": 4039 + }, + { + "epoch": 1.06, + "learning_rate": 1.9992021900291206e-05, + "loss": 0.7839, + "step": 4040 + }, + { + "epoch": 1.06, + "learning_rate": 1.9992008339669935e-05, + "loss": 0.7436, + "step": 4041 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991994767538354e-05, + "loss": 0.7889, + "step": 4042 + }, + { + "epoch": 1.06, + "learning_rate": 1.999198118389648e-05, + "loss": 0.758, + "step": 4043 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991967588744318e-05, + "loss": 0.6263, + "step": 4044 + }, + { + "epoch": 1.06, + "learning_rate": 1.99919539820819e-05, + "loss": 0.7037, + "step": 4045 + }, + { + "epoch": 1.06, + "learning_rate": 1.999194036390923e-05, + "loss": 0.7482, + "step": 4046 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991926734226324e-05, + "loss": 0.8974, + "step": 4047 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991913093033206e-05, + "loss": 0.8049, + "step": 4048 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991899440329883e-05, + "loss": 0.7893, + "step": 4049 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991885776116374e-05, + "loss": 0.6971, + "step": 4050 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991872100392697e-05, + "loss": 0.7313, + "step": 4051 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991858413158863e-05, + "loss": 0.595, + "step": 4052 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991844714414894e-05, + "loss": 0.8438, + "step": 4053 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991831004160797e-05, + "loss": 0.7334, + "step": 4054 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991817282396594e-05, + "loss": 0.8224, + "step": 4055 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991803549122304e-05, + "loss": 0.5992, + "step": 4056 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991789804337937e-05, + "loss": 0.827, + "step": 4057 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991776048043507e-05, + "loss": 0.8, + "step": 4058 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991762280239035e-05, + "loss": 0.6456, + "step": 4059 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991748500924536e-05, + "loss": 0.7538, + "step": 4060 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991734710100022e-05, + "loss": 0.6864, + "step": 4061 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991720907765516e-05, + "loss": 0.8587, + "step": 4062 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991707093921025e-05, + "loss": 0.6322, + "step": 4063 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991693268566573e-05, + "loss": 0.7063, + "step": 4064 + }, + { + "epoch": 1.06, + "learning_rate": 1.9991679431702173e-05, + "loss": 0.7466, + "step": 4065 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991665583327838e-05, + "loss": 0.6605, + "step": 4066 + }, + { + "epoch": 1.07, + "learning_rate": 1.999165172344359e-05, + "loss": 0.626, + "step": 4067 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991637852049437e-05, + "loss": 0.728, + "step": 4068 + }, + { + "epoch": 1.07, + "learning_rate": 1.99916239691454e-05, + "loss": 0.8326, + "step": 4069 + }, + { + "epoch": 1.07, + "learning_rate": 1.99916100747315e-05, + "loss": 0.7439, + "step": 4070 + }, + { + "epoch": 1.07, + "learning_rate": 1.999159616880774e-05, + "loss": 0.8154, + "step": 4071 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991582251374145e-05, + "loss": 0.5846, + "step": 4072 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991568322430734e-05, + "loss": 0.6854, + "step": 4073 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991554381977515e-05, + "loss": 0.7666, + "step": 4074 + }, + { + "epoch": 1.07, + "learning_rate": 1.999154043001451e-05, + "loss": 0.6066, + "step": 4075 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991526466541727e-05, + "loss": 0.74, + "step": 4076 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991512491559192e-05, + "loss": 0.6549, + "step": 4077 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991498505066916e-05, + "loss": 0.8315, + "step": 4078 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991484507064916e-05, + "loss": 0.7091, + "step": 4079 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991470497553206e-05, + "loss": 0.7532, + "step": 4080 + }, + { + "epoch": 1.07, + "learning_rate": 1.999145647653181e-05, + "loss": 0.9212, + "step": 4081 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991442444000733e-05, + "loss": 0.8682, + "step": 4082 + }, + { + "epoch": 1.07, + "learning_rate": 1.999142839996e-05, + "loss": 0.7281, + "step": 4083 + }, + { + "epoch": 1.07, + "learning_rate": 1.999141434440962e-05, + "loss": 0.6605, + "step": 4084 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991400277349612e-05, + "loss": 0.8369, + "step": 4085 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991386198779996e-05, + "loss": 0.7715, + "step": 4086 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991372108700785e-05, + "loss": 0.6933, + "step": 4087 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991358007111995e-05, + "loss": 0.6764, + "step": 4088 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991343894013644e-05, + "loss": 0.8621, + "step": 4089 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991329769405748e-05, + "loss": 0.8683, + "step": 4090 + }, + { + "epoch": 1.07, + "learning_rate": 1.999131563328832e-05, + "loss": 0.7303, + "step": 4091 + }, + { + "epoch": 1.07, + "learning_rate": 1.999130148566138e-05, + "loss": 0.7873, + "step": 4092 + }, + { + "epoch": 1.07, + "learning_rate": 1.999128732652494e-05, + "loss": 0.7547, + "step": 4093 + }, + { + "epoch": 1.07, + "learning_rate": 1.999127315587902e-05, + "loss": 0.8714, + "step": 4094 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991258973723636e-05, + "loss": 0.8077, + "step": 4095 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991244780058804e-05, + "loss": 0.758, + "step": 4096 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991230574884542e-05, + "loss": 0.8674, + "step": 4097 + }, + { + "epoch": 1.07, + "learning_rate": 1.999121635820086e-05, + "loss": 0.9147, + "step": 4098 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991202130007785e-05, + "loss": 0.8606, + "step": 4099 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991187890305323e-05, + "loss": 0.6584, + "step": 4100 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991173639093496e-05, + "loss": 0.7623, + "step": 4101 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991159376372318e-05, + "loss": 0.7591, + "step": 4102 + }, + { + "epoch": 1.07, + "learning_rate": 1.9991145102141808e-05, + "loss": 0.6961, + "step": 4103 + }, + { + "epoch": 1.08, + "learning_rate": 1.9991130816401984e-05, + "loss": 1.0336, + "step": 4104 + }, + { + "epoch": 1.08, + "learning_rate": 1.9991116519152852e-05, + "loss": 0.7942, + "step": 4105 + }, + { + "epoch": 1.08, + "learning_rate": 1.999110221039444e-05, + "loss": 0.8814, + "step": 4106 + }, + { + "epoch": 1.08, + "learning_rate": 1.9991087890126765e-05, + "loss": 0.7646, + "step": 4107 + }, + { + "epoch": 1.08, + "learning_rate": 1.9991073558349833e-05, + "loss": 0.7876, + "step": 4108 + }, + { + "epoch": 1.08, + "learning_rate": 1.9991059215063665e-05, + "loss": 0.7845, + "step": 4109 + }, + { + "epoch": 1.08, + "learning_rate": 1.9991044860268283e-05, + "loss": 0.855, + "step": 4110 + }, + { + "epoch": 1.08, + "learning_rate": 1.9991030493963697e-05, + "loss": 0.7068, + "step": 4111 + }, + { + "epoch": 1.08, + "learning_rate": 1.9991016116149928e-05, + "loss": 0.8623, + "step": 4112 + }, + { + "epoch": 1.08, + "learning_rate": 1.999100172682699e-05, + "loss": 0.8402, + "step": 4113 + }, + { + "epoch": 1.08, + "learning_rate": 1.99909873259949e-05, + "loss": 0.7974, + "step": 4114 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990972913653673e-05, + "loss": 0.708, + "step": 4115 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990958489803328e-05, + "loss": 0.6513, + "step": 4116 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990944054443885e-05, + "loss": 0.8977, + "step": 4117 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990929607575352e-05, + "loss": 0.6715, + "step": 4118 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990915149197755e-05, + "loss": 0.603, + "step": 4119 + }, + { + "epoch": 1.08, + "learning_rate": 1.99909006793111e-05, + "loss": 0.7171, + "step": 4120 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990886197915415e-05, + "loss": 0.8329, + "step": 4121 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990871705010705e-05, + "loss": 0.8887, + "step": 4122 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990857200596997e-05, + "loss": 0.7774, + "step": 4123 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990842684674305e-05, + "loss": 0.7393, + "step": 4124 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990828157242642e-05, + "loss": 0.8526, + "step": 4125 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990813618302028e-05, + "loss": 0.7004, + "step": 4126 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990799067852478e-05, + "loss": 0.831, + "step": 4127 + }, + { + "epoch": 1.08, + "learning_rate": 1.999078450589401e-05, + "loss": 0.883, + "step": 4128 + }, + { + "epoch": 1.08, + "learning_rate": 1.999076993242664e-05, + "loss": 0.8478, + "step": 4129 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990755347450386e-05, + "loss": 0.9247, + "step": 4130 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990740750965263e-05, + "loss": 0.7341, + "step": 4131 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990726142971287e-05, + "loss": 0.7332, + "step": 4132 + }, + { + "epoch": 1.08, + "learning_rate": 1.999071152346848e-05, + "loss": 0.5933, + "step": 4133 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990696892456855e-05, + "loss": 0.683, + "step": 4134 + }, + { + "epoch": 1.08, + "learning_rate": 1.999068224993643e-05, + "loss": 0.8946, + "step": 4135 + }, + { + "epoch": 1.08, + "learning_rate": 1.999066759590722e-05, + "loss": 0.6396, + "step": 4136 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990652930369243e-05, + "loss": 0.7655, + "step": 4137 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990638253322515e-05, + "loss": 0.8671, + "step": 4138 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990623564767055e-05, + "loss": 0.7572, + "step": 4139 + }, + { + "epoch": 1.08, + "learning_rate": 1.999060886470288e-05, + "loss": 0.6, + "step": 4140 + }, + { + "epoch": 1.08, + "learning_rate": 1.9990594153130006e-05, + "loss": 0.6644, + "step": 4141 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990579430048447e-05, + "loss": 0.7543, + "step": 4142 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990564695458224e-05, + "loss": 0.6644, + "step": 4143 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990549949359354e-05, + "loss": 0.7796, + "step": 4144 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990535191751847e-05, + "loss": 0.9645, + "step": 4145 + }, + { + "epoch": 1.09, + "learning_rate": 1.999052042263573e-05, + "loss": 0.8144, + "step": 4146 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990505642011016e-05, + "loss": 0.6781, + "step": 4147 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990490849877718e-05, + "loss": 0.6379, + "step": 4148 + }, + { + "epoch": 1.09, + "learning_rate": 1.999047604623586e-05, + "loss": 0.6793, + "step": 4149 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990461231085456e-05, + "loss": 0.6553, + "step": 4150 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990446404426523e-05, + "loss": 0.9499, + "step": 4151 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990431566259078e-05, + "loss": 0.6539, + "step": 4152 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990416716583136e-05, + "loss": 0.7924, + "step": 4153 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990401855398716e-05, + "loss": 0.6364, + "step": 4154 + }, + { + "epoch": 1.09, + "learning_rate": 1.999038698270584e-05, + "loss": 0.7691, + "step": 4155 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990372098504515e-05, + "loss": 0.7219, + "step": 4156 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990357202794765e-05, + "loss": 0.711, + "step": 4157 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990342295576605e-05, + "loss": 0.8131, + "step": 4158 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990327376850052e-05, + "loss": 0.8116, + "step": 4159 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990312446615127e-05, + "loss": 0.8083, + "step": 4160 + }, + { + "epoch": 1.09, + "learning_rate": 1.999029750487184e-05, + "loss": 0.7175, + "step": 4161 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990282551620213e-05, + "loss": 0.7834, + "step": 4162 + }, + { + "epoch": 1.09, + "learning_rate": 1.999026758686027e-05, + "loss": 0.7333, + "step": 4163 + }, + { + "epoch": 1.09, + "learning_rate": 1.999025261059201e-05, + "loss": 1.0466, + "step": 4164 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990237622815467e-05, + "loss": 0.6008, + "step": 4165 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990222623530653e-05, + "loss": 1.0715, + "step": 4166 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990207612737582e-05, + "loss": 0.7876, + "step": 4167 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990192590436278e-05, + "loss": 0.8181, + "step": 4168 + }, + { + "epoch": 1.09, + "learning_rate": 1.999017755662675e-05, + "loss": 0.7714, + "step": 4169 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990162511309023e-05, + "loss": 0.6125, + "step": 4170 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990147454483106e-05, + "loss": 0.7522, + "step": 4171 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990132386149027e-05, + "loss": 0.7152, + "step": 4172 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990117306306795e-05, + "loss": 0.6967, + "step": 4173 + }, + { + "epoch": 1.09, + "learning_rate": 1.999010221495643e-05, + "loss": 0.8293, + "step": 4174 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990087112097948e-05, + "loss": 0.7066, + "step": 4175 + }, + { + "epoch": 1.09, + "learning_rate": 1.999007199773137e-05, + "loss": 0.8813, + "step": 4176 + }, + { + "epoch": 1.09, + "learning_rate": 1.999005687185671e-05, + "loss": 0.7936, + "step": 4177 + }, + { + "epoch": 1.09, + "learning_rate": 1.9990041734473987e-05, + "loss": 0.7292, + "step": 4178 + }, + { + "epoch": 1.09, + "learning_rate": 1.999002658558322e-05, + "loss": 0.776, + "step": 4179 + }, + { + "epoch": 1.09, + "learning_rate": 1.999001142518442e-05, + "loss": 0.8293, + "step": 4180 + }, + { + "epoch": 1.1, + "learning_rate": 1.998999625327761e-05, + "loss": 0.8325, + "step": 4181 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989981069862808e-05, + "loss": 0.7088, + "step": 4182 + }, + { + "epoch": 1.1, + "learning_rate": 1.998996587494003e-05, + "loss": 0.8784, + "step": 4183 + }, + { + "epoch": 1.1, + "learning_rate": 1.998995066850929e-05, + "loss": 0.8871, + "step": 4184 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989935450570613e-05, + "loss": 0.6762, + "step": 4185 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989920221124013e-05, + "loss": 0.7361, + "step": 4186 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989904980169505e-05, + "loss": 0.8355, + "step": 4187 + }, + { + "epoch": 1.1, + "learning_rate": 1.998988972770711e-05, + "loss": 0.6958, + "step": 4188 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989874463736842e-05, + "loss": 0.9321, + "step": 4189 + }, + { + "epoch": 1.1, + "learning_rate": 1.998985918825872e-05, + "loss": 0.9228, + "step": 4190 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989843901272764e-05, + "loss": 0.8187, + "step": 4191 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989828602778992e-05, + "loss": 0.7486, + "step": 4192 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989813292777418e-05, + "loss": 0.8025, + "step": 4193 + }, + { + "epoch": 1.1, + "learning_rate": 1.998979797126806e-05, + "loss": 0.6383, + "step": 4194 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989782638250937e-05, + "loss": 0.7094, + "step": 4195 + }, + { + "epoch": 1.1, + "learning_rate": 1.998976729372607e-05, + "loss": 0.6751, + "step": 4196 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989751937693468e-05, + "loss": 0.8706, + "step": 4197 + }, + { + "epoch": 1.1, + "learning_rate": 1.998973657015316e-05, + "loss": 0.7071, + "step": 4198 + }, + { + "epoch": 1.1, + "learning_rate": 1.998972119110515e-05, + "loss": 0.7275, + "step": 4199 + }, + { + "epoch": 1.1, + "learning_rate": 1.998970580054947e-05, + "loss": 0.7644, + "step": 4200 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989690398486127e-05, + "loss": 0.7504, + "step": 4201 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989674984915144e-05, + "loss": 0.9613, + "step": 4202 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989659559836537e-05, + "loss": 0.8278, + "step": 4203 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989644123250324e-05, + "loss": 0.6024, + "step": 4204 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989628675156524e-05, + "loss": 0.7284, + "step": 4205 + }, + { + "epoch": 1.1, + "learning_rate": 1.998961321555515e-05, + "loss": 0.7461, + "step": 4206 + }, + { + "epoch": 1.1, + "learning_rate": 1.998959774444623e-05, + "loss": 0.5907, + "step": 4207 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989582261829773e-05, + "loss": 0.7719, + "step": 4208 + }, + { + "epoch": 1.1, + "learning_rate": 1.99895667677058e-05, + "loss": 0.8974, + "step": 4209 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989551262074323e-05, + "loss": 0.6354, + "step": 4210 + }, + { + "epoch": 1.1, + "learning_rate": 1.998953574493537e-05, + "loss": 0.8819, + "step": 4211 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989520216288952e-05, + "loss": 0.761, + "step": 4212 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989504676135092e-05, + "loss": 0.872, + "step": 4213 + }, + { + "epoch": 1.1, + "learning_rate": 1.99894891244738e-05, + "loss": 0.6968, + "step": 4214 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989473561305104e-05, + "loss": 0.8692, + "step": 4215 + }, + { + "epoch": 1.1, + "learning_rate": 1.9989457986629013e-05, + "loss": 0.7026, + "step": 4216 + }, + { + "epoch": 1.1, + "learning_rate": 1.998944240044555e-05, + "loss": 0.8636, + "step": 4217 + }, + { + "epoch": 1.1, + "learning_rate": 1.998942680275473e-05, + "loss": 0.8361, + "step": 4218 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989411193556575e-05, + "loss": 0.9462, + "step": 4219 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989395572851094e-05, + "loss": 0.6793, + "step": 4220 + }, + { + "epoch": 1.11, + "learning_rate": 1.998937994063832e-05, + "loss": 0.9443, + "step": 4221 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989364296918255e-05, + "loss": 0.8058, + "step": 4222 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989348641690927e-05, + "loss": 0.7406, + "step": 4223 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989332974956355e-05, + "loss": 0.6536, + "step": 4224 + }, + { + "epoch": 1.11, + "learning_rate": 1.998931729671455e-05, + "loss": 0.6389, + "step": 4225 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989301606965532e-05, + "loss": 0.9323, + "step": 4226 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989285905709323e-05, + "loss": 0.7344, + "step": 4227 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989270192945936e-05, + "loss": 0.698, + "step": 4228 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989254468675398e-05, + "loss": 0.902, + "step": 4229 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989238732897716e-05, + "loss": 0.77, + "step": 4230 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989222985612913e-05, + "loss": 0.923, + "step": 4231 + }, + { + "epoch": 1.11, + "learning_rate": 1.998920722682101e-05, + "loss": 0.7844, + "step": 4232 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989191456522017e-05, + "loss": 0.6711, + "step": 4233 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989175674715963e-05, + "loss": 0.7133, + "step": 4234 + }, + { + "epoch": 1.11, + "learning_rate": 1.998915988140286e-05, + "loss": 0.5877, + "step": 4235 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989144076582724e-05, + "loss": 1.0404, + "step": 4236 + }, + { + "epoch": 1.11, + "learning_rate": 1.998912826025558e-05, + "loss": 0.8397, + "step": 4237 + }, + { + "epoch": 1.11, + "learning_rate": 1.998911243242144e-05, + "loss": 0.6659, + "step": 4238 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989096593080324e-05, + "loss": 0.6137, + "step": 4239 + }, + { + "epoch": 1.11, + "learning_rate": 1.998908074223225e-05, + "loss": 0.7744, + "step": 4240 + }, + { + "epoch": 1.11, + "learning_rate": 1.998906487987724e-05, + "loss": 0.7223, + "step": 4241 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989049006015308e-05, + "loss": 0.8946, + "step": 4242 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989033120646472e-05, + "loss": 0.8483, + "step": 4243 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989017223770754e-05, + "loss": 0.8712, + "step": 4244 + }, + { + "epoch": 1.11, + "learning_rate": 1.9989001315388168e-05, + "loss": 0.6626, + "step": 4245 + }, + { + "epoch": 1.11, + "learning_rate": 1.9988985395498738e-05, + "loss": 0.7339, + "step": 4246 + }, + { + "epoch": 1.11, + "learning_rate": 1.9988969464102477e-05, + "loss": 0.6829, + "step": 4247 + }, + { + "epoch": 1.11, + "learning_rate": 1.9988953521199406e-05, + "loss": 0.7746, + "step": 4248 + }, + { + "epoch": 1.11, + "learning_rate": 1.998893756678954e-05, + "loss": 0.6579, + "step": 4249 + }, + { + "epoch": 1.11, + "learning_rate": 1.9988921600872903e-05, + "loss": 0.635, + "step": 4250 + }, + { + "epoch": 1.11, + "learning_rate": 1.998890562344951e-05, + "loss": 0.6985, + "step": 4251 + }, + { + "epoch": 1.11, + "learning_rate": 1.9988889634519378e-05, + "loss": 0.8712, + "step": 4252 + }, + { + "epoch": 1.11, + "learning_rate": 1.998887363408253e-05, + "loss": 0.6532, + "step": 4253 + }, + { + "epoch": 1.11, + "learning_rate": 1.9988857622138974e-05, + "loss": 0.8762, + "step": 4254 + }, + { + "epoch": 1.11, + "learning_rate": 1.9988841598688745e-05, + "loss": 0.7203, + "step": 4255 + }, + { + "epoch": 1.11, + "learning_rate": 1.9988825563731847e-05, + "loss": 0.631, + "step": 4256 + }, + { + "epoch": 1.12, + "learning_rate": 1.998880951726831e-05, + "loss": 0.9384, + "step": 4257 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988793459298142e-05, + "loss": 1.0733, + "step": 4258 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988777389821365e-05, + "loss": 0.7567, + "step": 4259 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988761308838e-05, + "loss": 0.7817, + "step": 4260 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988745216348065e-05, + "loss": 0.7596, + "step": 4261 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988729112351578e-05, + "loss": 0.7795, + "step": 4262 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988712996848556e-05, + "loss": 0.9279, + "step": 4263 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988696869839018e-05, + "loss": 0.8311, + "step": 4264 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988680731322984e-05, + "loss": 0.8644, + "step": 4265 + }, + { + "epoch": 1.12, + "learning_rate": 1.998866458130047e-05, + "loss": 0.7431, + "step": 4266 + }, + { + "epoch": 1.12, + "learning_rate": 1.99886484197715e-05, + "loss": 0.7238, + "step": 4267 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988632246736088e-05, + "loss": 0.7178, + "step": 4268 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988616062194252e-05, + "loss": 0.9295, + "step": 4269 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988599866146013e-05, + "loss": 0.7452, + "step": 4270 + }, + { + "epoch": 1.12, + "learning_rate": 1.998858365859139e-05, + "loss": 0.8732, + "step": 4271 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988567439530397e-05, + "loss": 0.6513, + "step": 4272 + }, + { + "epoch": 1.12, + "learning_rate": 1.998855120896306e-05, + "loss": 0.7956, + "step": 4273 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988534966889393e-05, + "loss": 0.5825, + "step": 4274 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988518713309416e-05, + "loss": 0.7051, + "step": 4275 + }, + { + "epoch": 1.12, + "learning_rate": 1.998850244822315e-05, + "loss": 0.7758, + "step": 4276 + }, + { + "epoch": 1.12, + "learning_rate": 1.998848617163061e-05, + "loss": 0.7215, + "step": 4277 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988469883531812e-05, + "loss": 0.6548, + "step": 4278 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988453583926782e-05, + "loss": 0.7387, + "step": 4279 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988437272815534e-05, + "loss": 0.5942, + "step": 4280 + }, + { + "epoch": 1.12, + "learning_rate": 1.998842095019809e-05, + "loss": 0.7639, + "step": 4281 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988404616074467e-05, + "loss": 0.8313, + "step": 4282 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988388270444685e-05, + "loss": 0.7909, + "step": 4283 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988371913308756e-05, + "loss": 0.7074, + "step": 4284 + }, + { + "epoch": 1.12, + "learning_rate": 1.998835554466671e-05, + "loss": 0.7355, + "step": 4285 + }, + { + "epoch": 1.12, + "learning_rate": 1.998833916451856e-05, + "loss": 0.8056, + "step": 4286 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988322772864323e-05, + "loss": 0.8798, + "step": 4287 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988306369704023e-05, + "loss": 0.6963, + "step": 4288 + }, + { + "epoch": 1.12, + "learning_rate": 1.998828995503767e-05, + "loss": 0.8112, + "step": 4289 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988273528865298e-05, + "loss": 1.0457, + "step": 4290 + }, + { + "epoch": 1.12, + "learning_rate": 1.998825709118691e-05, + "loss": 0.839, + "step": 4291 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988240642002533e-05, + "loss": 0.8902, + "step": 4292 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988224181312188e-05, + "loss": 0.8492, + "step": 4293 + }, + { + "epoch": 1.12, + "learning_rate": 1.9988207709115887e-05, + "loss": 0.6017, + "step": 4294 + }, + { + "epoch": 1.13, + "learning_rate": 1.9988191225413656e-05, + "loss": 0.858, + "step": 4295 + }, + { + "epoch": 1.13, + "learning_rate": 1.998817473020551e-05, + "loss": 0.7674, + "step": 4296 + }, + { + "epoch": 1.13, + "learning_rate": 1.9988158223491467e-05, + "loss": 0.7568, + "step": 4297 + }, + { + "epoch": 1.13, + "learning_rate": 1.998814170527155e-05, + "loss": 0.962, + "step": 4298 + }, + { + "epoch": 1.13, + "learning_rate": 1.9988125175545773e-05, + "loss": 0.7179, + "step": 4299 + }, + { + "epoch": 1.13, + "learning_rate": 1.998810863431416e-05, + "loss": 0.7531, + "step": 4300 + }, + { + "epoch": 1.13, + "learning_rate": 1.9988092081576727e-05, + "loss": 0.6259, + "step": 4301 + }, + { + "epoch": 1.13, + "learning_rate": 1.9988075517333495e-05, + "loss": 0.8921, + "step": 4302 + }, + { + "epoch": 1.13, + "learning_rate": 1.998805894158448e-05, + "loss": 0.8558, + "step": 4303 + }, + { + "epoch": 1.13, + "learning_rate": 1.9988042354329705e-05, + "loss": 0.6539, + "step": 4304 + }, + { + "epoch": 1.13, + "learning_rate": 1.998802575556919e-05, + "loss": 0.7146, + "step": 4305 + }, + { + "epoch": 1.13, + "learning_rate": 1.9988009145302946e-05, + "loss": 0.8419, + "step": 4306 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987992523531e-05, + "loss": 0.8973, + "step": 4307 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987975890253366e-05, + "loss": 0.7672, + "step": 4308 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987959245470067e-05, + "loss": 0.7124, + "step": 4309 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987942589181123e-05, + "loss": 0.8011, + "step": 4310 + }, + { + "epoch": 1.13, + "learning_rate": 1.998792592138655e-05, + "loss": 0.7495, + "step": 4311 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987909242086367e-05, + "loss": 0.8135, + "step": 4312 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987892551280596e-05, + "loss": 0.6002, + "step": 4313 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987875848969255e-05, + "loss": 0.9227, + "step": 4314 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987859135152364e-05, + "loss": 0.8936, + "step": 4315 + }, + { + "epoch": 1.13, + "learning_rate": 1.998784240982994e-05, + "loss": 0.7613, + "step": 4316 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987825673002002e-05, + "loss": 0.7771, + "step": 4317 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987808924668572e-05, + "loss": 0.6908, + "step": 4318 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987792164829667e-05, + "loss": 0.865, + "step": 4319 + }, + { + "epoch": 1.13, + "learning_rate": 1.998777539348531e-05, + "loss": 0.7868, + "step": 4320 + }, + { + "epoch": 1.13, + "learning_rate": 1.998775861063552e-05, + "loss": 0.6365, + "step": 4321 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987741816280305e-05, + "loss": 0.6199, + "step": 4322 + }, + { + "epoch": 1.13, + "learning_rate": 1.99877250104197e-05, + "loss": 0.6985, + "step": 4323 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987708193053717e-05, + "loss": 0.5498, + "step": 4324 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987691364182375e-05, + "loss": 0.7252, + "step": 4325 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987674523805697e-05, + "loss": 0.766, + "step": 4326 + }, + { + "epoch": 1.13, + "learning_rate": 1.99876576719237e-05, + "loss": 0.728, + "step": 4327 + }, + { + "epoch": 1.13, + "learning_rate": 1.99876408085364e-05, + "loss": 0.6705, + "step": 4328 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987623933643822e-05, + "loss": 0.6613, + "step": 4329 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987607047245984e-05, + "loss": 0.8564, + "step": 4330 + }, + { + "epoch": 1.13, + "learning_rate": 1.99875901493429e-05, + "loss": 0.7818, + "step": 4331 + }, + { + "epoch": 1.13, + "learning_rate": 1.9987573239934602e-05, + "loss": 0.7661, + "step": 4332 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987556319021097e-05, + "loss": 0.709, + "step": 4333 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987539386602406e-05, + "loss": 0.7315, + "step": 4334 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987522442678556e-05, + "loss": 0.7269, + "step": 4335 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987505487249562e-05, + "loss": 0.8636, + "step": 4336 + }, + { + "epoch": 1.14, + "learning_rate": 1.998748852031544e-05, + "loss": 0.7521, + "step": 4337 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987471541876218e-05, + "loss": 0.6245, + "step": 4338 + }, + { + "epoch": 1.14, + "learning_rate": 1.998745455193191e-05, + "loss": 0.683, + "step": 4339 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987437550482534e-05, + "loss": 0.8526, + "step": 4340 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987420537528114e-05, + "loss": 0.7767, + "step": 4341 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987403513068665e-05, + "loss": 0.8983, + "step": 4342 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987386477104212e-05, + "loss": 0.8133, + "step": 4343 + }, + { + "epoch": 1.14, + "learning_rate": 1.998736942963477e-05, + "loss": 0.6794, + "step": 4344 + }, + { + "epoch": 1.14, + "learning_rate": 1.998735237066036e-05, + "loss": 0.8285, + "step": 4345 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987335300181002e-05, + "loss": 0.6348, + "step": 4346 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987318218196717e-05, + "loss": 0.6932, + "step": 4347 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987301124707523e-05, + "loss": 0.7752, + "step": 4348 + }, + { + "epoch": 1.14, + "learning_rate": 1.998728401971344e-05, + "loss": 0.6569, + "step": 4349 + }, + { + "epoch": 1.14, + "learning_rate": 1.998726690321449e-05, + "loss": 0.5506, + "step": 4350 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987249775210687e-05, + "loss": 0.6738, + "step": 4351 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987232635702054e-05, + "loss": 0.7856, + "step": 4352 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987215484688612e-05, + "loss": 0.8665, + "step": 4353 + }, + { + "epoch": 1.14, + "learning_rate": 1.998719832217038e-05, + "loss": 0.725, + "step": 4354 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987181148147383e-05, + "loss": 0.6427, + "step": 4355 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987163962619625e-05, + "loss": 0.7294, + "step": 4356 + }, + { + "epoch": 1.14, + "learning_rate": 1.998714676558714e-05, + "loss": 1.1281, + "step": 4357 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987129557049947e-05, + "loss": 0.8285, + "step": 4358 + }, + { + "epoch": 1.14, + "learning_rate": 1.998711233700806e-05, + "loss": 0.6651, + "step": 4359 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987095105461504e-05, + "loss": 0.7142, + "step": 4360 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987077862410293e-05, + "loss": 0.7126, + "step": 4361 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987060607854452e-05, + "loss": 0.7129, + "step": 4362 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987043341793997e-05, + "loss": 0.7191, + "step": 4363 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987026064228955e-05, + "loss": 0.6771, + "step": 4364 + }, + { + "epoch": 1.14, + "learning_rate": 1.9987008775159337e-05, + "loss": 0.8229, + "step": 4365 + }, + { + "epoch": 1.14, + "learning_rate": 1.998699147458517e-05, + "loss": 0.68, + "step": 4366 + }, + { + "epoch": 1.14, + "learning_rate": 1.998697416250647e-05, + "loss": 0.8154, + "step": 4367 + }, + { + "epoch": 1.14, + "learning_rate": 1.9986956838923254e-05, + "loss": 0.6968, + "step": 4368 + }, + { + "epoch": 1.14, + "learning_rate": 1.998693950383555e-05, + "loss": 0.7739, + "step": 4369 + }, + { + "epoch": 1.14, + "learning_rate": 1.998692215724337e-05, + "loss": 0.8634, + "step": 4370 + }, + { + "epoch": 1.14, + "learning_rate": 1.9986904799146737e-05, + "loss": 0.6266, + "step": 4371 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986887429545676e-05, + "loss": 0.6551, + "step": 4372 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986870048440203e-05, + "loss": 0.6577, + "step": 4373 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986852655830332e-05, + "loss": 0.7818, + "step": 4374 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986835251716093e-05, + "loss": 0.6824, + "step": 4375 + }, + { + "epoch": 1.15, + "learning_rate": 1.99868178360975e-05, + "loss": 0.6001, + "step": 4376 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986800408974578e-05, + "loss": 0.6773, + "step": 4377 + }, + { + "epoch": 1.15, + "learning_rate": 1.998678297034734e-05, + "loss": 0.7953, + "step": 4378 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986765520215812e-05, + "loss": 0.8296, + "step": 4379 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986748058580013e-05, + "loss": 0.7899, + "step": 4380 + }, + { + "epoch": 1.15, + "learning_rate": 1.998673058543996e-05, + "loss": 0.9211, + "step": 4381 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986713100795672e-05, + "loss": 0.7923, + "step": 4382 + }, + { + "epoch": 1.15, + "learning_rate": 1.998669560464718e-05, + "loss": 0.7761, + "step": 4383 + }, + { + "epoch": 1.15, + "learning_rate": 1.998667809699449e-05, + "loss": 0.6949, + "step": 4384 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986660577837633e-05, + "loss": 0.8291, + "step": 4385 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986643047176625e-05, + "loss": 0.9151, + "step": 4386 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986625505011483e-05, + "loss": 0.82, + "step": 4387 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986607951342234e-05, + "loss": 0.8853, + "step": 4388 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986590386168892e-05, + "loss": 0.75, + "step": 4389 + }, + { + "epoch": 1.15, + "learning_rate": 1.998657280949148e-05, + "loss": 0.8512, + "step": 4390 + }, + { + "epoch": 1.15, + "learning_rate": 1.998655522131002e-05, + "loss": 0.764, + "step": 4391 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986537621624528e-05, + "loss": 0.7392, + "step": 4392 + }, + { + "epoch": 1.15, + "learning_rate": 1.998652001043503e-05, + "loss": 0.6081, + "step": 4393 + }, + { + "epoch": 1.15, + "learning_rate": 1.998650238774154e-05, + "loss": 0.745, + "step": 4394 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986484753544083e-05, + "loss": 0.6451, + "step": 4395 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986467107842675e-05, + "loss": 0.7267, + "step": 4396 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986449450637337e-05, + "loss": 0.6614, + "step": 4397 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986431781928095e-05, + "loss": 0.8893, + "step": 4398 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986414101714966e-05, + "loss": 0.784, + "step": 4399 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986396409997968e-05, + "loss": 0.7841, + "step": 4400 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986378706777124e-05, + "loss": 0.7163, + "step": 4401 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986360992052455e-05, + "loss": 0.8961, + "step": 4402 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986343265823977e-05, + "loss": 0.8211, + "step": 4403 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986325528091717e-05, + "loss": 0.8877, + "step": 4404 + }, + { + "epoch": 1.15, + "learning_rate": 1.998630777885569e-05, + "loss": 0.9117, + "step": 4405 + }, + { + "epoch": 1.15, + "learning_rate": 1.998629001811592e-05, + "loss": 0.7066, + "step": 4406 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986272245872423e-05, + "loss": 0.654, + "step": 4407 + }, + { + "epoch": 1.15, + "learning_rate": 1.9986254462125224e-05, + "loss": 0.9357, + "step": 4408 + }, + { + "epoch": 1.15, + "learning_rate": 1.998623666687434e-05, + "loss": 0.7815, + "step": 4409 + }, + { + "epoch": 1.16, + "learning_rate": 1.9986218860119794e-05, + "loss": 0.7734, + "step": 4410 + }, + { + "epoch": 1.16, + "learning_rate": 1.9986201041861606e-05, + "loss": 0.776, + "step": 4411 + }, + { + "epoch": 1.16, + "learning_rate": 1.9986183212099796e-05, + "loss": 0.757, + "step": 4412 + }, + { + "epoch": 1.16, + "learning_rate": 1.9986165370834385e-05, + "loss": 0.7806, + "step": 4413 + }, + { + "epoch": 1.16, + "learning_rate": 1.9986147518065395e-05, + "loss": 0.5709, + "step": 4414 + }, + { + "epoch": 1.16, + "learning_rate": 1.9986129653792844e-05, + "loss": 0.7564, + "step": 4415 + }, + { + "epoch": 1.16, + "learning_rate": 1.9986111778016752e-05, + "loss": 0.7607, + "step": 4416 + }, + { + "epoch": 1.16, + "learning_rate": 1.9986093890737143e-05, + "loss": 0.7273, + "step": 4417 + }, + { + "epoch": 1.16, + "learning_rate": 1.9986075991954037e-05, + "loss": 0.6907, + "step": 4418 + }, + { + "epoch": 1.16, + "learning_rate": 1.998605808166745e-05, + "loss": 0.8085, + "step": 4419 + }, + { + "epoch": 1.16, + "learning_rate": 1.998604015987741e-05, + "loss": 0.6204, + "step": 4420 + }, + { + "epoch": 1.16, + "learning_rate": 1.998602222658393e-05, + "loss": 0.5475, + "step": 4421 + }, + { + "epoch": 1.16, + "learning_rate": 1.9986004281787034e-05, + "loss": 0.6774, + "step": 4422 + }, + { + "epoch": 1.16, + "learning_rate": 1.998598632548675e-05, + "loss": 0.6564, + "step": 4423 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985968357683085e-05, + "loss": 0.7758, + "step": 4424 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985950378376066e-05, + "loss": 0.6957, + "step": 4425 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985932387565717e-05, + "loss": 0.9366, + "step": 4426 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985914385252054e-05, + "loss": 0.761, + "step": 4427 + }, + { + "epoch": 1.16, + "learning_rate": 1.99858963714351e-05, + "loss": 1.022, + "step": 4428 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985878346114875e-05, + "loss": 0.7181, + "step": 4429 + }, + { + "epoch": 1.16, + "learning_rate": 1.99858603092914e-05, + "loss": 0.6369, + "step": 4430 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985842260964697e-05, + "loss": 0.6925, + "step": 4431 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985824201134783e-05, + "loss": 0.9331, + "step": 4432 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985806129801684e-05, + "loss": 0.8886, + "step": 4433 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985788046965417e-05, + "loss": 0.7227, + "step": 4434 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985769952626005e-05, + "loss": 0.6216, + "step": 4435 + }, + { + "epoch": 1.16, + "learning_rate": 1.998575184678347e-05, + "loss": 0.6734, + "step": 4436 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985733729437826e-05, + "loss": 0.9147, + "step": 4437 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985715600589103e-05, + "loss": 0.8953, + "step": 4438 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985697460237316e-05, + "loss": 0.8105, + "step": 4439 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985679308382487e-05, + "loss": 0.8365, + "step": 4440 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985661145024635e-05, + "loss": 0.8039, + "step": 4441 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985642970163788e-05, + "loss": 0.8386, + "step": 4442 + }, + { + "epoch": 1.16, + "learning_rate": 1.998562478379996e-05, + "loss": 0.883, + "step": 4443 + }, + { + "epoch": 1.16, + "learning_rate": 1.998560658593317e-05, + "loss": 1.3165, + "step": 4444 + }, + { + "epoch": 1.16, + "learning_rate": 1.998558837656345e-05, + "loss": 0.7313, + "step": 4445 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985570155690814e-05, + "loss": 0.5536, + "step": 4446 + }, + { + "epoch": 1.16, + "learning_rate": 1.9985551923315277e-05, + "loss": 0.743, + "step": 4447 + }, + { + "epoch": 1.17, + "learning_rate": 1.998553367943687e-05, + "loss": 0.9499, + "step": 4448 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985515424055608e-05, + "loss": 0.6029, + "step": 4449 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985497157171516e-05, + "loss": 0.9127, + "step": 4450 + }, + { + "epoch": 1.17, + "learning_rate": 1.998547887878461e-05, + "loss": 0.7633, + "step": 4451 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985460588894918e-05, + "loss": 0.6523, + "step": 4452 + }, + { + "epoch": 1.17, + "learning_rate": 1.998544228750246e-05, + "loss": 0.6317, + "step": 4453 + }, + { + "epoch": 1.17, + "learning_rate": 1.998542397460725e-05, + "loss": 0.6089, + "step": 4454 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985405650209315e-05, + "loss": 0.8712, + "step": 4455 + }, + { + "epoch": 1.17, + "learning_rate": 1.998538731430867e-05, + "loss": 0.8057, + "step": 4456 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985368966905344e-05, + "loss": 0.5356, + "step": 4457 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985350607999355e-05, + "loss": 0.8484, + "step": 4458 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985332237590723e-05, + "loss": 0.7771, + "step": 4459 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985313855679472e-05, + "loss": 0.812, + "step": 4460 + }, + { + "epoch": 1.17, + "learning_rate": 1.998529546226562e-05, + "loss": 0.6868, + "step": 4461 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985277057349193e-05, + "loss": 0.8685, + "step": 4462 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985258640930202e-05, + "loss": 0.5768, + "step": 4463 + }, + { + "epoch": 1.17, + "learning_rate": 1.998524021300868e-05, + "loss": 0.9348, + "step": 4464 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985221773584644e-05, + "loss": 0.8356, + "step": 4465 + }, + { + "epoch": 1.17, + "learning_rate": 1.998520332265811e-05, + "loss": 0.6495, + "step": 4466 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985184860229107e-05, + "loss": 1.0243, + "step": 4467 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985166386297653e-05, + "loss": 0.6723, + "step": 4468 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985147900863766e-05, + "loss": 0.7137, + "step": 4469 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985129403927473e-05, + "loss": 0.7855, + "step": 4470 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985110895488792e-05, + "loss": 0.6878, + "step": 4471 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985092375547745e-05, + "loss": 0.6337, + "step": 4472 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985073844104353e-05, + "loss": 0.6489, + "step": 4473 + }, + { + "epoch": 1.17, + "learning_rate": 1.998505530115864e-05, + "loss": 0.6548, + "step": 4474 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985036746710624e-05, + "loss": 0.7205, + "step": 4475 + }, + { + "epoch": 1.17, + "learning_rate": 1.9985018180760326e-05, + "loss": 0.7401, + "step": 4476 + }, + { + "epoch": 1.17, + "learning_rate": 1.998499960330777e-05, + "loss": 0.8323, + "step": 4477 + }, + { + "epoch": 1.17, + "learning_rate": 1.9984981014352977e-05, + "loss": 1.0681, + "step": 4478 + }, + { + "epoch": 1.17, + "learning_rate": 1.9984962413895967e-05, + "loss": 0.587, + "step": 4479 + }, + { + "epoch": 1.17, + "learning_rate": 1.9984943801936764e-05, + "loss": 0.8291, + "step": 4480 + }, + { + "epoch": 1.17, + "learning_rate": 1.9984925178475386e-05, + "loss": 0.8378, + "step": 4481 + }, + { + "epoch": 1.17, + "learning_rate": 1.9984906543511856e-05, + "loss": 0.6454, + "step": 4482 + }, + { + "epoch": 1.17, + "learning_rate": 1.9984887897046194e-05, + "loss": 0.8251, + "step": 4483 + }, + { + "epoch": 1.17, + "learning_rate": 1.9984869239078425e-05, + "loss": 0.8207, + "step": 4484 + }, + { + "epoch": 1.17, + "learning_rate": 1.9984850569608568e-05, + "loss": 0.5304, + "step": 4485 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984831888636648e-05, + "loss": 0.679, + "step": 4486 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984813196162677e-05, + "loss": 0.6731, + "step": 4487 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984794492186687e-05, + "loss": 0.8894, + "step": 4488 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984775776708695e-05, + "loss": 0.708, + "step": 4489 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984757049728726e-05, + "loss": 0.809, + "step": 4490 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984738311246796e-05, + "loss": 0.6578, + "step": 4491 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984719561262927e-05, + "loss": 0.8311, + "step": 4492 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984700799777147e-05, + "loss": 0.7444, + "step": 4493 + }, + { + "epoch": 1.18, + "learning_rate": 1.998468202678947e-05, + "loss": 0.9177, + "step": 4494 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984663242299925e-05, + "loss": 0.976, + "step": 4495 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984644446308526e-05, + "loss": 0.596, + "step": 4496 + }, + { + "epoch": 1.18, + "learning_rate": 1.99846256388153e-05, + "loss": 0.8076, + "step": 4497 + }, + { + "epoch": 1.18, + "learning_rate": 1.998460681982027e-05, + "loss": 0.7691, + "step": 4498 + }, + { + "epoch": 1.18, + "learning_rate": 1.998458798932345e-05, + "loss": 0.526, + "step": 4499 + }, + { + "epoch": 1.18, + "learning_rate": 1.998456914732487e-05, + "loss": 0.7758, + "step": 4500 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984550293824547e-05, + "loss": 0.6355, + "step": 4501 + }, + { + "epoch": 1.18, + "learning_rate": 1.99845314288225e-05, + "loss": 0.8004, + "step": 4502 + }, + { + "epoch": 1.18, + "learning_rate": 1.998451255231876e-05, + "loss": 0.8967, + "step": 4503 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984493664313343e-05, + "loss": 0.8771, + "step": 4504 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984474764806272e-05, + "loss": 0.5886, + "step": 4505 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984455853797568e-05, + "loss": 1.0616, + "step": 4506 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984436931287247e-05, + "loss": 0.8702, + "step": 4507 + }, + { + "epoch": 1.18, + "learning_rate": 1.998441799727534e-05, + "loss": 0.8286, + "step": 4508 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984399051761863e-05, + "loss": 0.8344, + "step": 4509 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984380094746846e-05, + "loss": 0.7477, + "step": 4510 + }, + { + "epoch": 1.18, + "learning_rate": 1.99843611262303e-05, + "loss": 0.7994, + "step": 4511 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984342146212255e-05, + "loss": 0.8552, + "step": 4512 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984323154692727e-05, + "loss": 0.7669, + "step": 4513 + }, + { + "epoch": 1.18, + "learning_rate": 1.998430415167174e-05, + "loss": 0.7066, + "step": 4514 + }, + { + "epoch": 1.18, + "learning_rate": 1.998428513714932e-05, + "loss": 0.6793, + "step": 4515 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984266111125483e-05, + "loss": 0.7229, + "step": 4516 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984247073600254e-05, + "loss": 0.5809, + "step": 4517 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984228024573653e-05, + "loss": 0.8413, + "step": 4518 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984208964045703e-05, + "loss": 0.7772, + "step": 4519 + }, + { + "epoch": 1.18, + "learning_rate": 1.998418989201643e-05, + "loss": 0.8071, + "step": 4520 + }, + { + "epoch": 1.18, + "learning_rate": 1.998417080848585e-05, + "loss": 0.8095, + "step": 4521 + }, + { + "epoch": 1.18, + "learning_rate": 1.9984151713453985e-05, + "loss": 0.7501, + "step": 4522 + }, + { + "epoch": 1.18, + "learning_rate": 1.998413260692086e-05, + "loss": 0.6787, + "step": 4523 + }, + { + "epoch": 1.19, + "learning_rate": 1.9984113488886495e-05, + "loss": 0.9044, + "step": 4524 + }, + { + "epoch": 1.19, + "learning_rate": 1.9984094359350913e-05, + "loss": 0.6569, + "step": 4525 + }, + { + "epoch": 1.19, + "learning_rate": 1.998407521831414e-05, + "loss": 0.7363, + "step": 4526 + }, + { + "epoch": 1.19, + "learning_rate": 1.9984056065776188e-05, + "loss": 0.9859, + "step": 4527 + }, + { + "epoch": 1.19, + "learning_rate": 1.9984036901737092e-05, + "loss": 0.8761, + "step": 4528 + }, + { + "epoch": 1.19, + "learning_rate": 1.9984017726196864e-05, + "loss": 0.7564, + "step": 4529 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983998539155527e-05, + "loss": 0.6389, + "step": 4530 + }, + { + "epoch": 1.19, + "learning_rate": 1.998397934061311e-05, + "loss": 0.7627, + "step": 4531 + }, + { + "epoch": 1.19, + "learning_rate": 1.998396013056963e-05, + "loss": 0.6555, + "step": 4532 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983940909025106e-05, + "loss": 0.7602, + "step": 4533 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983921675979564e-05, + "loss": 0.932, + "step": 4534 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983902431433032e-05, + "loss": 0.7244, + "step": 4535 + }, + { + "epoch": 1.19, + "learning_rate": 1.998388317538552e-05, + "loss": 0.8207, + "step": 4536 + }, + { + "epoch": 1.19, + "learning_rate": 1.998386390783706e-05, + "loss": 0.7091, + "step": 4537 + }, + { + "epoch": 1.19, + "learning_rate": 1.998384462878767e-05, + "loss": 0.7575, + "step": 4538 + }, + { + "epoch": 1.19, + "learning_rate": 1.998382533823737e-05, + "loss": 0.8019, + "step": 4539 + }, + { + "epoch": 1.19, + "learning_rate": 1.998380603618619e-05, + "loss": 0.7489, + "step": 4540 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983786722634143e-05, + "loss": 0.6906, + "step": 4541 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983767397581256e-05, + "loss": 0.6146, + "step": 4542 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983748061027556e-05, + "loss": 0.7766, + "step": 4543 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983728712973053e-05, + "loss": 0.842, + "step": 4544 + }, + { + "epoch": 1.19, + "learning_rate": 1.998370935341778e-05, + "loss": 0.7096, + "step": 4545 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983689982361754e-05, + "loss": 0.8095, + "step": 4546 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983670599805e-05, + "loss": 0.8982, + "step": 4547 + }, + { + "epoch": 1.19, + "learning_rate": 1.998365120574754e-05, + "loss": 0.6808, + "step": 4548 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983631800189394e-05, + "loss": 0.6398, + "step": 4549 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983612383130585e-05, + "loss": 0.9225, + "step": 4550 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983592954571137e-05, + "loss": 0.7413, + "step": 4551 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983573514511074e-05, + "loss": 0.6395, + "step": 4552 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983554062950415e-05, + "loss": 0.8685, + "step": 4553 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983534599889186e-05, + "loss": 0.6751, + "step": 4554 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983515125327405e-05, + "loss": 0.7901, + "step": 4555 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983495639265095e-05, + "loss": 0.844, + "step": 4556 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983476141702277e-05, + "loss": 0.6361, + "step": 4557 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983456632638983e-05, + "loss": 0.724, + "step": 4558 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983437112075222e-05, + "loss": 0.6605, + "step": 4559 + }, + { + "epoch": 1.19, + "learning_rate": 1.9983417580011027e-05, + "loss": 0.6875, + "step": 4560 + }, + { + "epoch": 1.19, + "learning_rate": 1.998339803644642e-05, + "loss": 0.6899, + "step": 4561 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983378481381413e-05, + "loss": 0.5787, + "step": 4562 + }, + { + "epoch": 1.2, + "learning_rate": 1.998335891481604e-05, + "loss": 0.7426, + "step": 4563 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983339336750317e-05, + "loss": 0.7299, + "step": 4564 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983319747184274e-05, + "loss": 0.7963, + "step": 4565 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983300146117926e-05, + "loss": 0.8445, + "step": 4566 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983280533551296e-05, + "loss": 0.6226, + "step": 4567 + }, + { + "epoch": 1.2, + "learning_rate": 1.998326090948441e-05, + "loss": 0.6035, + "step": 4568 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983241273917286e-05, + "loss": 0.7215, + "step": 4569 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983221626849954e-05, + "loss": 0.8353, + "step": 4570 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983201968282432e-05, + "loss": 0.7085, + "step": 4571 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983182298214744e-05, + "loss": 0.8239, + "step": 4572 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983162616646906e-05, + "loss": 0.887, + "step": 4573 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983142923578952e-05, + "loss": 0.8706, + "step": 4574 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983123219010897e-05, + "loss": 0.568, + "step": 4575 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983103502942767e-05, + "loss": 0.7301, + "step": 4576 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983083775374582e-05, + "loss": 0.598, + "step": 4577 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983064036306366e-05, + "loss": 0.9736, + "step": 4578 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983044285738144e-05, + "loss": 0.7081, + "step": 4579 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983024523669935e-05, + "loss": 0.7689, + "step": 4580 + }, + { + "epoch": 1.2, + "learning_rate": 1.9983004750101766e-05, + "loss": 0.8222, + "step": 4581 + }, + { + "epoch": 1.2, + "learning_rate": 1.9982984965033657e-05, + "loss": 0.7701, + "step": 4582 + }, + { + "epoch": 1.2, + "learning_rate": 1.998296516846563e-05, + "loss": 1.001, + "step": 4583 + }, + { + "epoch": 1.2, + "learning_rate": 1.998294536039771e-05, + "loss": 0.8068, + "step": 4584 + }, + { + "epoch": 1.2, + "learning_rate": 1.9982925540829917e-05, + "loss": 0.7787, + "step": 4585 + }, + { + "epoch": 1.2, + "learning_rate": 1.9982905709762275e-05, + "loss": 0.6098, + "step": 4586 + }, + { + "epoch": 1.2, + "learning_rate": 1.998288586719481e-05, + "loss": 0.6243, + "step": 4587 + }, + { + "epoch": 1.2, + "learning_rate": 1.998286601312754e-05, + "loss": 0.6534, + "step": 4588 + }, + { + "epoch": 1.2, + "learning_rate": 1.998284614756049e-05, + "loss": 0.7525, + "step": 4589 + }, + { + "epoch": 1.2, + "learning_rate": 1.9982826270493682e-05, + "loss": 0.6616, + "step": 4590 + }, + { + "epoch": 1.2, + "learning_rate": 1.9982806381927143e-05, + "loss": 0.7517, + "step": 4591 + }, + { + "epoch": 1.2, + "learning_rate": 1.9982786481860892e-05, + "loss": 0.9201, + "step": 4592 + }, + { + "epoch": 1.2, + "learning_rate": 1.9982766570294952e-05, + "loss": 0.7723, + "step": 4593 + }, + { + "epoch": 1.2, + "learning_rate": 1.9982746647229344e-05, + "loss": 0.5923, + "step": 4594 + }, + { + "epoch": 1.2, + "learning_rate": 1.9982726712664098e-05, + "loss": 0.6344, + "step": 4595 + }, + { + "epoch": 1.2, + "learning_rate": 1.998270676659923e-05, + "loss": 0.6487, + "step": 4596 + }, + { + "epoch": 1.2, + "learning_rate": 1.9982686809034767e-05, + "loss": 0.6581, + "step": 4597 + }, + { + "epoch": 1.2, + "learning_rate": 1.9982666839970733e-05, + "loss": 0.8231, + "step": 4598 + }, + { + "epoch": 1.2, + "learning_rate": 1.9982646859407143e-05, + "loss": 0.5929, + "step": 4599 + }, + { + "epoch": 1.2, + "learning_rate": 1.998262686734403e-05, + "loss": 0.754, + "step": 4600 + }, + { + "epoch": 1.21, + "learning_rate": 1.998260686378141e-05, + "loss": 0.714, + "step": 4601 + }, + { + "epoch": 1.21, + "learning_rate": 1.998258684871931e-05, + "loss": 0.8364, + "step": 4602 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982566822157752e-05, + "loss": 0.7076, + "step": 4603 + }, + { + "epoch": 1.21, + "learning_rate": 1.998254678409676e-05, + "loss": 0.6972, + "step": 4604 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982526734536352e-05, + "loss": 0.7413, + "step": 4605 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982506673476557e-05, + "loss": 0.7374, + "step": 4606 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982486600917396e-05, + "loss": 0.7756, + "step": 4607 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982466516858892e-05, + "loss": 0.6787, + "step": 4608 + }, + { + "epoch": 1.21, + "learning_rate": 1.998244642130107e-05, + "loss": 0.7098, + "step": 4609 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982426314243946e-05, + "loss": 0.7327, + "step": 4610 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982406195687555e-05, + "loss": 0.7906, + "step": 4611 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982386065631913e-05, + "loss": 0.6498, + "step": 4612 + }, + { + "epoch": 1.21, + "learning_rate": 1.998236592407704e-05, + "loss": 0.7755, + "step": 4613 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982345771022965e-05, + "loss": 0.8122, + "step": 4614 + }, + { + "epoch": 1.21, + "learning_rate": 1.998232560646971e-05, + "loss": 0.7939, + "step": 4615 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982305430417296e-05, + "loss": 0.671, + "step": 4616 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982285242865748e-05, + "loss": 0.8856, + "step": 4617 + }, + { + "epoch": 1.21, + "learning_rate": 1.998226504381509e-05, + "loss": 0.6775, + "step": 4618 + }, + { + "epoch": 1.21, + "learning_rate": 1.998224483326535e-05, + "loss": 0.8644, + "step": 4619 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982224611216538e-05, + "loss": 0.7573, + "step": 4620 + }, + { + "epoch": 1.21, + "learning_rate": 1.998220437766869e-05, + "loss": 0.7277, + "step": 4621 + }, + { + "epoch": 1.21, + "learning_rate": 1.998218413262182e-05, + "loss": 0.884, + "step": 4622 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982163876075957e-05, + "loss": 0.7145, + "step": 4623 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982143608031123e-05, + "loss": 0.9707, + "step": 4624 + }, + { + "epoch": 1.21, + "learning_rate": 1.998212332848734e-05, + "loss": 0.7669, + "step": 4625 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982103037444638e-05, + "loss": 0.6515, + "step": 4626 + }, + { + "epoch": 1.21, + "learning_rate": 1.998208273490303e-05, + "loss": 1.0048, + "step": 4627 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982062420862546e-05, + "loss": 0.8939, + "step": 4628 + }, + { + "epoch": 1.21, + "learning_rate": 1.998204209532321e-05, + "loss": 0.6936, + "step": 4629 + }, + { + "epoch": 1.21, + "learning_rate": 1.9982021758285037e-05, + "loss": 0.7295, + "step": 4630 + }, + { + "epoch": 1.21, + "learning_rate": 1.998200140974806e-05, + "loss": 0.7812, + "step": 4631 + }, + { + "epoch": 1.21, + "learning_rate": 1.99819810497123e-05, + "loss": 0.81, + "step": 4632 + }, + { + "epoch": 1.21, + "learning_rate": 1.998196067817778e-05, + "loss": 0.8553, + "step": 4633 + }, + { + "epoch": 1.21, + "learning_rate": 1.9981940295144523e-05, + "loss": 0.5256, + "step": 4634 + }, + { + "epoch": 1.21, + "learning_rate": 1.9981919900612553e-05, + "loss": 0.7033, + "step": 4635 + }, + { + "epoch": 1.21, + "learning_rate": 1.998189949458189e-05, + "loss": 0.7858, + "step": 4636 + }, + { + "epoch": 1.21, + "learning_rate": 1.9981879077052563e-05, + "loss": 0.6914, + "step": 4637 + }, + { + "epoch": 1.21, + "learning_rate": 1.998185864802459e-05, + "loss": 0.8475, + "step": 4638 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981838207498e-05, + "loss": 0.7353, + "step": 4639 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981817755472815e-05, + "loss": 0.9749, + "step": 4640 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981797291949056e-05, + "loss": 0.9044, + "step": 4641 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981776816926747e-05, + "loss": 0.6544, + "step": 4642 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981756330405915e-05, + "loss": 0.8073, + "step": 4643 + }, + { + "epoch": 1.22, + "learning_rate": 1.998173583238658e-05, + "loss": 0.5816, + "step": 4644 + }, + { + "epoch": 1.22, + "learning_rate": 1.998171532286877e-05, + "loss": 0.7167, + "step": 4645 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981694801852504e-05, + "loss": 0.497, + "step": 4646 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981674269337806e-05, + "loss": 0.7954, + "step": 4647 + }, + { + "epoch": 1.22, + "learning_rate": 1.99816537253247e-05, + "loss": 0.7068, + "step": 4648 + }, + { + "epoch": 1.22, + "learning_rate": 1.998163316981321e-05, + "loss": 0.6737, + "step": 4649 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981612602803365e-05, + "loss": 0.671, + "step": 4650 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981592024295185e-05, + "loss": 0.999, + "step": 4651 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981571434288686e-05, + "loss": 0.7466, + "step": 4652 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981550832783903e-05, + "loss": 0.706, + "step": 4653 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981530219780852e-05, + "loss": 0.646, + "step": 4654 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981509595279563e-05, + "loss": 0.6976, + "step": 4655 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981488959280058e-05, + "loss": 0.6292, + "step": 4656 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981468311782356e-05, + "loss": 0.744, + "step": 4657 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981447652786486e-05, + "loss": 0.7652, + "step": 4658 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981426982292467e-05, + "loss": 0.8159, + "step": 4659 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981406300300327e-05, + "loss": 0.7083, + "step": 4660 + }, + { + "epoch": 1.22, + "learning_rate": 1.998138560681009e-05, + "loss": 0.5663, + "step": 4661 + }, + { + "epoch": 1.22, + "learning_rate": 1.998136490182178e-05, + "loss": 0.6634, + "step": 4662 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981344185335415e-05, + "loss": 0.6842, + "step": 4663 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981323457351026e-05, + "loss": 0.5729, + "step": 4664 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981302717868632e-05, + "loss": 0.5481, + "step": 4665 + }, + { + "epoch": 1.22, + "learning_rate": 1.998128196688826e-05, + "loss": 0.8011, + "step": 4666 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981261204409933e-05, + "loss": 0.7372, + "step": 4667 + }, + { + "epoch": 1.22, + "learning_rate": 1.998124043043368e-05, + "loss": 0.5796, + "step": 4668 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981219644959512e-05, + "loss": 0.6843, + "step": 4669 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981198847987464e-05, + "loss": 0.7484, + "step": 4670 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981178039517557e-05, + "loss": 0.6644, + "step": 4671 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981157219549812e-05, + "loss": 0.7859, + "step": 4672 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981136388084258e-05, + "loss": 0.7587, + "step": 4673 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981115545120916e-05, + "loss": 0.7028, + "step": 4674 + }, + { + "epoch": 1.22, + "learning_rate": 1.998109469065981e-05, + "loss": 0.793, + "step": 4675 + }, + { + "epoch": 1.22, + "learning_rate": 1.9981073824700965e-05, + "loss": 0.706, + "step": 4676 + }, + { + "epoch": 1.23, + "learning_rate": 1.9981052947244405e-05, + "loss": 0.6511, + "step": 4677 + }, + { + "epoch": 1.23, + "learning_rate": 1.9981032058290153e-05, + "loss": 0.7829, + "step": 4678 + }, + { + "epoch": 1.23, + "learning_rate": 1.9981011157838234e-05, + "loss": 0.7223, + "step": 4679 + }, + { + "epoch": 1.23, + "learning_rate": 1.998099024588867e-05, + "loss": 0.5894, + "step": 4680 + }, + { + "epoch": 1.23, + "learning_rate": 1.998096932244149e-05, + "loss": 0.8944, + "step": 4681 + }, + { + "epoch": 1.23, + "learning_rate": 1.998094838749671e-05, + "loss": 0.7608, + "step": 4682 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980927441054366e-05, + "loss": 0.7786, + "step": 4683 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980906483114474e-05, + "loss": 0.6872, + "step": 4684 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980885513677055e-05, + "loss": 0.9274, + "step": 4685 + }, + { + "epoch": 1.23, + "learning_rate": 1.998086453274214e-05, + "loss": 0.9674, + "step": 4686 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980843540309755e-05, + "loss": 0.5814, + "step": 4687 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980822536379914e-05, + "loss": 0.6835, + "step": 4688 + }, + { + "epoch": 1.23, + "learning_rate": 1.998080152095265e-05, + "loss": 0.5762, + "step": 4689 + }, + { + "epoch": 1.23, + "learning_rate": 1.998078049402798e-05, + "loss": 0.7178, + "step": 4690 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980759455605935e-05, + "loss": 0.8456, + "step": 4691 + }, + { + "epoch": 1.23, + "learning_rate": 1.998073840568654e-05, + "loss": 0.6953, + "step": 4692 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980717344269812e-05, + "loss": 0.8232, + "step": 4693 + }, + { + "epoch": 1.23, + "learning_rate": 1.998069627135578e-05, + "loss": 0.7328, + "step": 4694 + }, + { + "epoch": 1.23, + "learning_rate": 1.998067518694447e-05, + "loss": 0.7165, + "step": 4695 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980654091035904e-05, + "loss": 0.9366, + "step": 4696 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980632983630102e-05, + "loss": 0.864, + "step": 4697 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980611864727093e-05, + "loss": 0.6269, + "step": 4698 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980590734326905e-05, + "loss": 0.7713, + "step": 4699 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980569592429556e-05, + "loss": 0.7594, + "step": 4700 + }, + { + "epoch": 1.23, + "learning_rate": 1.998054843903507e-05, + "loss": 0.6504, + "step": 4701 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980527274143474e-05, + "loss": 0.6182, + "step": 4702 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980506097754798e-05, + "loss": 0.6122, + "step": 4703 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980484909869056e-05, + "loss": 0.6889, + "step": 4704 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980463710486278e-05, + "loss": 0.698, + "step": 4705 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980442499606484e-05, + "loss": 0.7162, + "step": 4706 + }, + { + "epoch": 1.23, + "learning_rate": 1.998042127722971e-05, + "loss": 0.872, + "step": 4707 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980400043355967e-05, + "loss": 0.7411, + "step": 4708 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980378797985283e-05, + "loss": 0.9315, + "step": 4709 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980357541117686e-05, + "loss": 0.7148, + "step": 4710 + }, + { + "epoch": 1.23, + "learning_rate": 1.99803362727532e-05, + "loss": 0.8347, + "step": 4711 + }, + { + "epoch": 1.23, + "learning_rate": 1.998031499289185e-05, + "loss": 0.8235, + "step": 4712 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980293701533653e-05, + "loss": 0.6569, + "step": 4713 + }, + { + "epoch": 1.23, + "learning_rate": 1.9980272398678644e-05, + "loss": 0.8638, + "step": 4714 + }, + { + "epoch": 1.24, + "learning_rate": 1.998025108432684e-05, + "loss": 0.6467, + "step": 4715 + }, + { + "epoch": 1.24, + "learning_rate": 1.998022975847827e-05, + "loss": 0.7293, + "step": 4716 + }, + { + "epoch": 1.24, + "learning_rate": 1.9980208421132958e-05, + "loss": 0.742, + "step": 4717 + }, + { + "epoch": 1.24, + "learning_rate": 1.9980187072290925e-05, + "loss": 0.7063, + "step": 4718 + }, + { + "epoch": 1.24, + "learning_rate": 1.99801657119522e-05, + "loss": 0.6547, + "step": 4719 + }, + { + "epoch": 1.24, + "learning_rate": 1.9980144340116806e-05, + "loss": 0.7546, + "step": 4720 + }, + { + "epoch": 1.24, + "learning_rate": 1.9980122956784767e-05, + "loss": 0.6319, + "step": 4721 + }, + { + "epoch": 1.24, + "learning_rate": 1.9980101561956106e-05, + "loss": 0.9598, + "step": 4722 + }, + { + "epoch": 1.24, + "learning_rate": 1.9980080155630853e-05, + "loss": 0.8324, + "step": 4723 + }, + { + "epoch": 1.24, + "learning_rate": 1.9980058737809025e-05, + "loss": 0.7003, + "step": 4724 + }, + { + "epoch": 1.24, + "learning_rate": 1.9980037308490653e-05, + "loss": 0.7717, + "step": 4725 + }, + { + "epoch": 1.24, + "learning_rate": 1.998001586767576e-05, + "loss": 0.7351, + "step": 4726 + }, + { + "epoch": 1.24, + "learning_rate": 1.997999441536437e-05, + "loss": 0.7236, + "step": 4727 + }, + { + "epoch": 1.24, + "learning_rate": 1.997997295155651e-05, + "loss": 0.7163, + "step": 4728 + }, + { + "epoch": 1.24, + "learning_rate": 1.99799514762522e-05, + "loss": 0.6112, + "step": 4729 + }, + { + "epoch": 1.24, + "learning_rate": 1.997992998945147e-05, + "loss": 0.6321, + "step": 4730 + }, + { + "epoch": 1.24, + "learning_rate": 1.997990849115434e-05, + "loss": 0.8658, + "step": 4731 + }, + { + "epoch": 1.24, + "learning_rate": 1.997988698136084e-05, + "loss": 0.6235, + "step": 4732 + }, + { + "epoch": 1.24, + "learning_rate": 1.997986546007099e-05, + "loss": 0.5595, + "step": 4733 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979843927284815e-05, + "loss": 0.6635, + "step": 4734 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979822383002344e-05, + "loss": 0.6372, + "step": 4735 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979800827223596e-05, + "loss": 0.6633, + "step": 4736 + }, + { + "epoch": 1.24, + "learning_rate": 1.99797792599486e-05, + "loss": 0.8919, + "step": 4737 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979757681177385e-05, + "loss": 0.6256, + "step": 4738 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979736090909966e-05, + "loss": 0.7502, + "step": 4739 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979714489146375e-05, + "loss": 0.7382, + "step": 4740 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979692875886633e-05, + "loss": 0.6711, + "step": 4741 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979671251130763e-05, + "loss": 0.6385, + "step": 4742 + }, + { + "epoch": 1.24, + "learning_rate": 1.99796496148788e-05, + "loss": 0.8612, + "step": 4743 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979627967130755e-05, + "loss": 0.7068, + "step": 4744 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979606307886665e-05, + "loss": 0.8218, + "step": 4745 + }, + { + "epoch": 1.24, + "learning_rate": 1.997958463714655e-05, + "loss": 0.682, + "step": 4746 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979562954910434e-05, + "loss": 0.6797, + "step": 4747 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979541261178343e-05, + "loss": 0.7602, + "step": 4748 + }, + { + "epoch": 1.24, + "learning_rate": 1.9979519555950305e-05, + "loss": 0.5823, + "step": 4749 + }, + { + "epoch": 1.24, + "learning_rate": 1.997949783922634e-05, + "loss": 0.8281, + "step": 4750 + }, + { + "epoch": 1.24, + "learning_rate": 1.997947611100647e-05, + "loss": 0.8355, + "step": 4751 + }, + { + "epoch": 1.24, + "learning_rate": 1.997945437129073e-05, + "loss": 0.7184, + "step": 4752 + }, + { + "epoch": 1.25, + "learning_rate": 1.997943262007914e-05, + "loss": 0.8734, + "step": 4753 + }, + { + "epoch": 1.25, + "learning_rate": 1.9979410857371728e-05, + "loss": 0.7806, + "step": 4754 + }, + { + "epoch": 1.25, + "learning_rate": 1.9979389083168512e-05, + "loss": 0.5859, + "step": 4755 + }, + { + "epoch": 1.25, + "learning_rate": 1.997936729746952e-05, + "loss": 0.8213, + "step": 4756 + }, + { + "epoch": 1.25, + "learning_rate": 1.9979345500274786e-05, + "loss": 0.6459, + "step": 4757 + }, + { + "epoch": 1.25, + "learning_rate": 1.997932369158432e-05, + "loss": 0.6497, + "step": 4758 + }, + { + "epoch": 1.25, + "learning_rate": 1.997930187139816e-05, + "loss": 0.8489, + "step": 4759 + }, + { + "epoch": 1.25, + "learning_rate": 1.9979280039716323e-05, + "loss": 0.6239, + "step": 4760 + }, + { + "epoch": 1.25, + "learning_rate": 1.9979258196538836e-05, + "loss": 0.6682, + "step": 4761 + }, + { + "epoch": 1.25, + "learning_rate": 1.997923634186573e-05, + "loss": 0.587, + "step": 4762 + }, + { + "epoch": 1.25, + "learning_rate": 1.997921447569702e-05, + "loss": 0.8275, + "step": 4763 + }, + { + "epoch": 1.25, + "learning_rate": 1.9979192598032737e-05, + "loss": 0.8261, + "step": 4764 + }, + { + "epoch": 1.25, + "learning_rate": 1.9979170708872907e-05, + "loss": 0.855, + "step": 4765 + }, + { + "epoch": 1.25, + "learning_rate": 1.9979148808217555e-05, + "loss": 0.6934, + "step": 4766 + }, + { + "epoch": 1.25, + "learning_rate": 1.9979126896066706e-05, + "loss": 0.7138, + "step": 4767 + }, + { + "epoch": 1.25, + "learning_rate": 1.997910497242038e-05, + "loss": 0.6515, + "step": 4768 + }, + { + "epoch": 1.25, + "learning_rate": 1.997908303727861e-05, + "loss": 0.6829, + "step": 4769 + }, + { + "epoch": 1.25, + "learning_rate": 1.9979061090641416e-05, + "loss": 0.9055, + "step": 4770 + }, + { + "epoch": 1.25, + "learning_rate": 1.9979039132508828e-05, + "loss": 0.6546, + "step": 4771 + }, + { + "epoch": 1.25, + "learning_rate": 1.9979017162880864e-05, + "loss": 0.8058, + "step": 4772 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978995181757556e-05, + "loss": 0.6938, + "step": 4773 + }, + { + "epoch": 1.25, + "learning_rate": 1.997897318913893e-05, + "loss": 0.7241, + "step": 4774 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978951185025005e-05, + "loss": 0.8056, + "step": 4775 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978929169415814e-05, + "loss": 0.8313, + "step": 4776 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978907142311373e-05, + "loss": 0.9008, + "step": 4777 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978885103711715e-05, + "loss": 0.8213, + "step": 4778 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978863053616862e-05, + "loss": 0.8892, + "step": 4779 + }, + { + "epoch": 1.25, + "learning_rate": 1.997884099202684e-05, + "loss": 0.573, + "step": 4780 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978818918941676e-05, + "loss": 0.6751, + "step": 4781 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978796834361397e-05, + "loss": 0.8776, + "step": 4782 + }, + { + "epoch": 1.25, + "learning_rate": 1.997877473828602e-05, + "loss": 0.6759, + "step": 4783 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978752630715577e-05, + "loss": 0.5632, + "step": 4784 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978730511650094e-05, + "loss": 0.9064, + "step": 4785 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978708381089597e-05, + "loss": 0.7371, + "step": 4786 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978686239034108e-05, + "loss": 0.8208, + "step": 4787 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978664085483653e-05, + "loss": 0.6661, + "step": 4788 + }, + { + "epoch": 1.25, + "learning_rate": 1.997864192043826e-05, + "loss": 0.6263, + "step": 4789 + }, + { + "epoch": 1.25, + "learning_rate": 1.9978619743897952e-05, + "loss": 0.6819, + "step": 4790 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978597555862757e-05, + "loss": 0.6971, + "step": 4791 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978575356332697e-05, + "loss": 0.7045, + "step": 4792 + }, + { + "epoch": 1.26, + "learning_rate": 1.99785531453078e-05, + "loss": 0.746, + "step": 4793 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978530922788092e-05, + "loss": 0.7717, + "step": 4794 + }, + { + "epoch": 1.26, + "learning_rate": 1.99785086887736e-05, + "loss": 0.5336, + "step": 4795 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978486443264346e-05, + "loss": 0.574, + "step": 4796 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978464186260353e-05, + "loss": 0.5922, + "step": 4797 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978441917761656e-05, + "loss": 0.6755, + "step": 4798 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978419637768278e-05, + "loss": 0.7642, + "step": 4799 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978397346280235e-05, + "loss": 0.7452, + "step": 4800 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978375043297563e-05, + "loss": 0.7163, + "step": 4801 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978352728820284e-05, + "loss": 0.5972, + "step": 4802 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978330402848426e-05, + "loss": 0.7055, + "step": 4803 + }, + { + "epoch": 1.26, + "learning_rate": 1.997830806538201e-05, + "loss": 0.7286, + "step": 4804 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978285716421067e-05, + "loss": 0.6884, + "step": 4805 + }, + { + "epoch": 1.26, + "learning_rate": 1.997826335596562e-05, + "loss": 0.7352, + "step": 4806 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978240984015692e-05, + "loss": 0.7375, + "step": 4807 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978218600571314e-05, + "loss": 0.724, + "step": 4808 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978196205632515e-05, + "loss": 0.6623, + "step": 4809 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978173799199307e-05, + "loss": 0.7544, + "step": 4810 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978151381271733e-05, + "loss": 0.6752, + "step": 4811 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978128951849803e-05, + "loss": 0.6904, + "step": 4812 + }, + { + "epoch": 1.26, + "learning_rate": 1.997810651093355e-05, + "loss": 0.7689, + "step": 4813 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978084058523004e-05, + "loss": 0.6779, + "step": 4814 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978061594618184e-05, + "loss": 0.8785, + "step": 4815 + }, + { + "epoch": 1.26, + "learning_rate": 1.997803911921912e-05, + "loss": 0.6227, + "step": 4816 + }, + { + "epoch": 1.26, + "learning_rate": 1.9978016632325838e-05, + "loss": 0.5593, + "step": 4817 + }, + { + "epoch": 1.26, + "learning_rate": 1.997799413393836e-05, + "loss": 0.716, + "step": 4818 + }, + { + "epoch": 1.26, + "learning_rate": 1.9977971624056713e-05, + "loss": 0.9141, + "step": 4819 + }, + { + "epoch": 1.26, + "learning_rate": 1.9977949102680923e-05, + "loss": 0.8225, + "step": 4820 + }, + { + "epoch": 1.26, + "learning_rate": 1.9977926569811022e-05, + "loss": 0.6437, + "step": 4821 + }, + { + "epoch": 1.26, + "learning_rate": 1.997790402544703e-05, + "loss": 0.8926, + "step": 4822 + }, + { + "epoch": 1.26, + "learning_rate": 1.9977881469588973e-05, + "loss": 0.8264, + "step": 4823 + }, + { + "epoch": 1.26, + "learning_rate": 1.997785890223688e-05, + "loss": 0.654, + "step": 4824 + }, + { + "epoch": 1.26, + "learning_rate": 1.9977836323390768e-05, + "loss": 0.6837, + "step": 4825 + }, + { + "epoch": 1.26, + "learning_rate": 1.9977813733050677e-05, + "loss": 0.8567, + "step": 4826 + }, + { + "epoch": 1.26, + "learning_rate": 1.9977791131216624e-05, + "loss": 0.8422, + "step": 4827 + }, + { + "epoch": 1.26, + "learning_rate": 1.997776851788864e-05, + "loss": 0.8632, + "step": 4828 + }, + { + "epoch": 1.26, + "learning_rate": 1.9977745893066745e-05, + "loss": 0.7843, + "step": 4829 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977723256750967e-05, + "loss": 0.7372, + "step": 4830 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977700608941334e-05, + "loss": 0.6543, + "step": 4831 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977677949637874e-05, + "loss": 0.6369, + "step": 4832 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977655278840607e-05, + "loss": 0.544, + "step": 4833 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977632596549568e-05, + "loss": 0.5711, + "step": 4834 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977609902764776e-05, + "loss": 0.7179, + "step": 4835 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977587197486255e-05, + "loss": 0.6047, + "step": 4836 + }, + { + "epoch": 1.27, + "learning_rate": 1.997756448071404e-05, + "loss": 0.9312, + "step": 4837 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977541752448148e-05, + "loss": 0.6797, + "step": 4838 + }, + { + "epoch": 1.27, + "learning_rate": 1.997751901268861e-05, + "loss": 0.7669, + "step": 4839 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977496261435454e-05, + "loss": 0.8706, + "step": 4840 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977473498688705e-05, + "loss": 0.6251, + "step": 4841 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977450724448384e-05, + "loss": 0.7785, + "step": 4842 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977427938714523e-05, + "loss": 0.733, + "step": 4843 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977405141487147e-05, + "loss": 0.9264, + "step": 4844 + }, + { + "epoch": 1.27, + "learning_rate": 1.997738233276628e-05, + "loss": 0.593, + "step": 4845 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977359512551953e-05, + "loss": 1.076, + "step": 4846 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977336680844186e-05, + "loss": 0.6881, + "step": 4847 + }, + { + "epoch": 1.27, + "learning_rate": 1.997731383764301e-05, + "loss": 0.5791, + "step": 4848 + }, + { + "epoch": 1.27, + "learning_rate": 1.997729098294845e-05, + "loss": 0.8402, + "step": 4849 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977268116760532e-05, + "loss": 0.6451, + "step": 4850 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977245239079283e-05, + "loss": 0.6338, + "step": 4851 + }, + { + "epoch": 1.27, + "learning_rate": 1.997722234990473e-05, + "loss": 0.7304, + "step": 4852 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977199449236896e-05, + "loss": 0.6369, + "step": 4853 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977176537075813e-05, + "loss": 0.6964, + "step": 4854 + }, + { + "epoch": 1.27, + "learning_rate": 1.99771536134215e-05, + "loss": 0.6682, + "step": 4855 + }, + { + "epoch": 1.27, + "learning_rate": 1.997713067827399e-05, + "loss": 0.6599, + "step": 4856 + }, + { + "epoch": 1.27, + "learning_rate": 1.997710773163331e-05, + "loss": 0.7791, + "step": 4857 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977084773499478e-05, + "loss": 0.9318, + "step": 4858 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977061803872528e-05, + "loss": 0.6593, + "step": 4859 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977038822752483e-05, + "loss": 0.7502, + "step": 4860 + }, + { + "epoch": 1.27, + "learning_rate": 1.9977015830139373e-05, + "loss": 0.6761, + "step": 4861 + }, + { + "epoch": 1.27, + "learning_rate": 1.9976992826033222e-05, + "loss": 0.5428, + "step": 4862 + }, + { + "epoch": 1.27, + "learning_rate": 1.9976969810434053e-05, + "loss": 0.8375, + "step": 4863 + }, + { + "epoch": 1.27, + "learning_rate": 1.9976946783341898e-05, + "loss": 0.8793, + "step": 4864 + }, + { + "epoch": 1.27, + "learning_rate": 1.9976923744756783e-05, + "loss": 0.6955, + "step": 4865 + }, + { + "epoch": 1.27, + "learning_rate": 1.9976900694678735e-05, + "loss": 0.6838, + "step": 4866 + }, + { + "epoch": 1.27, + "learning_rate": 1.997687763310778e-05, + "loss": 0.7958, + "step": 4867 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976854560043937e-05, + "loss": 0.7746, + "step": 4868 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976831475487244e-05, + "loss": 0.7562, + "step": 4869 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976808379437723e-05, + "loss": 0.8647, + "step": 4870 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976785271895395e-05, + "loss": 0.6423, + "step": 4871 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976762152860296e-05, + "loss": 0.6083, + "step": 4872 + }, + { + "epoch": 1.28, + "learning_rate": 1.997673902233245e-05, + "loss": 0.7527, + "step": 4873 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976715880311878e-05, + "loss": 0.7249, + "step": 4874 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976692726798612e-05, + "loss": 0.6726, + "step": 4875 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976669561792678e-05, + "loss": 0.8146, + "step": 4876 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976646385294102e-05, + "loss": 0.7419, + "step": 4877 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976623197302912e-05, + "loss": 0.7644, + "step": 4878 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976599997819132e-05, + "loss": 0.8426, + "step": 4879 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976576786842788e-05, + "loss": 0.7978, + "step": 4880 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976553564373915e-05, + "loss": 0.7141, + "step": 4881 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976530330412533e-05, + "loss": 0.7503, + "step": 4882 + }, + { + "epoch": 1.28, + "learning_rate": 1.997650708495866e-05, + "loss": 0.7337, + "step": 4883 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976483828012342e-05, + "loss": 0.7048, + "step": 4884 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976460559573595e-05, + "loss": 0.724, + "step": 4885 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976437279642447e-05, + "loss": 0.7122, + "step": 4886 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976413988218923e-05, + "loss": 0.7238, + "step": 4887 + }, + { + "epoch": 1.28, + "learning_rate": 1.997639068530305e-05, + "loss": 0.6355, + "step": 4888 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976367370894857e-05, + "loss": 0.7655, + "step": 4889 + }, + { + "epoch": 1.28, + "learning_rate": 1.997634404499437e-05, + "loss": 0.7106, + "step": 4890 + }, + { + "epoch": 1.28, + "learning_rate": 1.997632070760162e-05, + "loss": 0.6058, + "step": 4891 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976297358716626e-05, + "loss": 0.7955, + "step": 4892 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976273998339422e-05, + "loss": 0.9969, + "step": 4893 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976250626470027e-05, + "loss": 0.9332, + "step": 4894 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976227243108475e-05, + "loss": 0.7849, + "step": 4895 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976203848254794e-05, + "loss": 0.6996, + "step": 4896 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976180441909007e-05, + "loss": 0.792, + "step": 4897 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976157024071137e-05, + "loss": 0.6443, + "step": 4898 + }, + { + "epoch": 1.28, + "learning_rate": 1.997613359474122e-05, + "loss": 0.799, + "step": 4899 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976110153919274e-05, + "loss": 0.6814, + "step": 4900 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976086701605334e-05, + "loss": 0.5884, + "step": 4901 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976063237799423e-05, + "loss": 0.9224, + "step": 4902 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976039762501566e-05, + "loss": 0.7974, + "step": 4903 + }, + { + "epoch": 1.28, + "learning_rate": 1.9976016275711796e-05, + "loss": 0.7908, + "step": 4904 + }, + { + "epoch": 1.28, + "learning_rate": 1.9975992777430137e-05, + "loss": 0.8101, + "step": 4905 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975969267656613e-05, + "loss": 0.9113, + "step": 4906 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975945746391257e-05, + "loss": 0.8219, + "step": 4907 + }, + { + "epoch": 1.29, + "learning_rate": 1.997592221363409e-05, + "loss": 0.5709, + "step": 4908 + }, + { + "epoch": 1.29, + "learning_rate": 1.997589866938514e-05, + "loss": 0.7297, + "step": 4909 + }, + { + "epoch": 1.29, + "learning_rate": 1.997587511364444e-05, + "loss": 0.7465, + "step": 4910 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975851546412012e-05, + "loss": 0.8669, + "step": 4911 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975827967687888e-05, + "loss": 0.8794, + "step": 4912 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975804377472088e-05, + "loss": 0.734, + "step": 4913 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975780775764643e-05, + "loss": 0.715, + "step": 4914 + }, + { + "epoch": 1.29, + "learning_rate": 1.997575716256558e-05, + "loss": 0.6816, + "step": 4915 + }, + { + "epoch": 1.29, + "learning_rate": 1.997573353787493e-05, + "loss": 0.9295, + "step": 4916 + }, + { + "epoch": 1.29, + "learning_rate": 1.997570990169271e-05, + "loss": 0.7029, + "step": 4917 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975686254018954e-05, + "loss": 0.5975, + "step": 4918 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975662594853694e-05, + "loss": 0.8379, + "step": 4919 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975638924196947e-05, + "loss": 0.6992, + "step": 4920 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975615242048748e-05, + "loss": 0.8147, + "step": 4921 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975591548409125e-05, + "loss": 0.7579, + "step": 4922 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975567843278096e-05, + "loss": 0.9092, + "step": 4923 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975544126655697e-05, + "loss": 0.8379, + "step": 4924 + }, + { + "epoch": 1.29, + "learning_rate": 1.997552039854195e-05, + "loss": 0.6569, + "step": 4925 + }, + { + "epoch": 1.29, + "learning_rate": 1.997549665893689e-05, + "loss": 0.8179, + "step": 4926 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975472907840537e-05, + "loss": 0.7154, + "step": 4927 + }, + { + "epoch": 1.29, + "learning_rate": 1.997544914525292e-05, + "loss": 0.7487, + "step": 4928 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975425371174066e-05, + "loss": 0.516, + "step": 4929 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975401585604005e-05, + "loss": 0.7676, + "step": 4930 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975377788542763e-05, + "loss": 0.7919, + "step": 4931 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975353979990367e-05, + "loss": 0.7608, + "step": 4932 + }, + { + "epoch": 1.29, + "learning_rate": 1.997533015994684e-05, + "loss": 0.6426, + "step": 4933 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975306328412222e-05, + "loss": 0.8888, + "step": 4934 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975282485386527e-05, + "loss": 0.8181, + "step": 4935 + }, + { + "epoch": 1.29, + "learning_rate": 1.997525863086979e-05, + "loss": 0.9045, + "step": 4936 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975234764862035e-05, + "loss": 0.8128, + "step": 4937 + }, + { + "epoch": 1.29, + "learning_rate": 1.997521088736329e-05, + "loss": 0.8631, + "step": 4938 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975186998373588e-05, + "loss": 0.8004, + "step": 4939 + }, + { + "epoch": 1.29, + "learning_rate": 1.997516309789295e-05, + "loss": 0.6461, + "step": 4940 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975139185921406e-05, + "loss": 0.7172, + "step": 4941 + }, + { + "epoch": 1.29, + "learning_rate": 1.997511526245898e-05, + "loss": 0.6599, + "step": 4942 + }, + { + "epoch": 1.29, + "learning_rate": 1.9975091327505702e-05, + "loss": 0.8374, + "step": 4943 + }, + { + "epoch": 1.3, + "learning_rate": 1.9975067381061604e-05, + "loss": 0.7112, + "step": 4944 + }, + { + "epoch": 1.3, + "learning_rate": 1.997504342312671e-05, + "loss": 0.6227, + "step": 4945 + }, + { + "epoch": 1.3, + "learning_rate": 1.9975019453701045e-05, + "loss": 0.7507, + "step": 4946 + }, + { + "epoch": 1.3, + "learning_rate": 1.997499547278464e-05, + "loss": 0.8841, + "step": 4947 + }, + { + "epoch": 1.3, + "learning_rate": 1.997497148037752e-05, + "loss": 0.7519, + "step": 4948 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974947476479715e-05, + "loss": 0.7899, + "step": 4949 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974923461091252e-05, + "loss": 0.6312, + "step": 4950 + }, + { + "epoch": 1.3, + "learning_rate": 1.997489943421216e-05, + "loss": 0.7639, + "step": 4951 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974875395842463e-05, + "loss": 0.8255, + "step": 4952 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974851345982195e-05, + "loss": 0.7726, + "step": 4953 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974827284631376e-05, + "loss": 0.7103, + "step": 4954 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974803211790037e-05, + "loss": 0.6757, + "step": 4955 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974779127458207e-05, + "loss": 0.729, + "step": 4956 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974755031635916e-05, + "loss": 0.7629, + "step": 4957 + }, + { + "epoch": 1.3, + "learning_rate": 1.997473092432318e-05, + "loss": 0.5768, + "step": 4958 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974706805520046e-05, + "loss": 0.843, + "step": 4959 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974682675226525e-05, + "loss": 0.9528, + "step": 4960 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974658533442653e-05, + "loss": 0.5862, + "step": 4961 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974634380168454e-05, + "loss": 0.6492, + "step": 4962 + }, + { + "epoch": 1.3, + "learning_rate": 1.997461021540396e-05, + "loss": 1.0038, + "step": 4963 + }, + { + "epoch": 1.3, + "learning_rate": 1.997458603914919e-05, + "loss": 0.7552, + "step": 4964 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974561851404183e-05, + "loss": 0.6331, + "step": 4965 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974537652168963e-05, + "loss": 0.7318, + "step": 4966 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974513441443555e-05, + "loss": 0.7597, + "step": 4967 + }, + { + "epoch": 1.3, + "learning_rate": 1.997448921922799e-05, + "loss": 0.7033, + "step": 4968 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974464985522294e-05, + "loss": 0.76, + "step": 4969 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974440740326497e-05, + "loss": 0.6155, + "step": 4970 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974416483640627e-05, + "loss": 0.7596, + "step": 4971 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974392215464705e-05, + "loss": 0.7623, + "step": 4972 + }, + { + "epoch": 1.3, + "learning_rate": 1.997436793579877e-05, + "loss": 0.7918, + "step": 4973 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974343644642844e-05, + "loss": 0.6452, + "step": 4974 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974319341996954e-05, + "loss": 0.7161, + "step": 4975 + }, + { + "epoch": 1.3, + "learning_rate": 1.997429502786113e-05, + "loss": 0.769, + "step": 4976 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974270702235397e-05, + "loss": 0.613, + "step": 4977 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974246365119788e-05, + "loss": 0.7222, + "step": 4978 + }, + { + "epoch": 1.3, + "learning_rate": 1.997422201651433e-05, + "loss": 0.7135, + "step": 4979 + }, + { + "epoch": 1.3, + "learning_rate": 1.9974197656419046e-05, + "loss": 0.8035, + "step": 4980 + }, + { + "epoch": 1.3, + "learning_rate": 1.997417328483397e-05, + "loss": 0.8433, + "step": 4981 + }, + { + "epoch": 1.31, + "learning_rate": 1.9974148901759126e-05, + "loss": 0.908, + "step": 4982 + }, + { + "epoch": 1.31, + "learning_rate": 1.9974124507194545e-05, + "loss": 0.6531, + "step": 4983 + }, + { + "epoch": 1.31, + "learning_rate": 1.9974100101140253e-05, + "loss": 0.6648, + "step": 4984 + }, + { + "epoch": 1.31, + "learning_rate": 1.997407568359628e-05, + "loss": 0.6922, + "step": 4985 + }, + { + "epoch": 1.31, + "learning_rate": 1.9974051254562652e-05, + "loss": 0.7453, + "step": 4986 + }, + { + "epoch": 1.31, + "learning_rate": 1.9974026814039398e-05, + "loss": 0.6254, + "step": 4987 + }, + { + "epoch": 1.31, + "learning_rate": 1.9974002362026548e-05, + "loss": 0.6596, + "step": 4988 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973977898524127e-05, + "loss": 0.682, + "step": 4989 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973953423532168e-05, + "loss": 0.7939, + "step": 4990 + }, + { + "epoch": 1.31, + "learning_rate": 1.997392893705069e-05, + "loss": 0.7909, + "step": 4991 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973904439079735e-05, + "loss": 0.765, + "step": 4992 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973879929619318e-05, + "loss": 0.7847, + "step": 4993 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973855408669476e-05, + "loss": 0.6433, + "step": 4994 + }, + { + "epoch": 1.31, + "learning_rate": 1.997383087623023e-05, + "loss": 0.7499, + "step": 4995 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973806332301615e-05, + "loss": 0.5648, + "step": 4996 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973781776883657e-05, + "loss": 0.7334, + "step": 4997 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973757209976382e-05, + "loss": 0.4556, + "step": 4998 + }, + { + "epoch": 1.31, + "learning_rate": 1.997373263157982e-05, + "loss": 0.9645, + "step": 4999 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973708041694e-05, + "loss": 0.7787, + "step": 5000 + }, + { + "epoch": 1.31, + "learning_rate": 1.997368344031895e-05, + "loss": 0.6766, + "step": 5001 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973658827454695e-05, + "loss": 0.6739, + "step": 5002 + }, + { + "epoch": 1.31, + "learning_rate": 1.997363420310127e-05, + "loss": 0.5897, + "step": 5003 + }, + { + "epoch": 1.31, + "learning_rate": 1.99736095672587e-05, + "loss": 0.6951, + "step": 5004 + }, + { + "epoch": 1.31, + "learning_rate": 1.997358491992701e-05, + "loss": 0.821, + "step": 5005 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973560261106236e-05, + "loss": 0.6982, + "step": 5006 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973535590796397e-05, + "loss": 0.7006, + "step": 5007 + }, + { + "epoch": 1.31, + "learning_rate": 1.997351090899753e-05, + "loss": 0.6368, + "step": 5008 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973486215709655e-05, + "loss": 0.7663, + "step": 5009 + }, + { + "epoch": 1.31, + "learning_rate": 1.997346151093281e-05, + "loss": 0.9134, + "step": 5010 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973436794667015e-05, + "loss": 0.7191, + "step": 5011 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973412066912307e-05, + "loss": 0.5595, + "step": 5012 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973387327668704e-05, + "loss": 0.8687, + "step": 5013 + }, + { + "epoch": 1.31, + "learning_rate": 1.997336257693624e-05, + "loss": 0.9333, + "step": 5014 + }, + { + "epoch": 1.31, + "learning_rate": 1.997333781471495e-05, + "loss": 0.5667, + "step": 5015 + }, + { + "epoch": 1.31, + "learning_rate": 1.997331304100485e-05, + "loss": 0.7607, + "step": 5016 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973288255805977e-05, + "loss": 0.762, + "step": 5017 + }, + { + "epoch": 1.31, + "learning_rate": 1.997326345911836e-05, + "loss": 0.6212, + "step": 5018 + }, + { + "epoch": 1.31, + "learning_rate": 1.997323865094202e-05, + "loss": 0.7576, + "step": 5019 + }, + { + "epoch": 1.31, + "learning_rate": 1.9973213831276995e-05, + "loss": 0.8061, + "step": 5020 + }, + { + "epoch": 1.32, + "learning_rate": 1.9973189000123305e-05, + "loss": 0.7477, + "step": 5021 + }, + { + "epoch": 1.32, + "learning_rate": 1.9973164157480984e-05, + "loss": 0.7035, + "step": 5022 + }, + { + "epoch": 1.32, + "learning_rate": 1.9973139303350058e-05, + "loss": 0.7409, + "step": 5023 + }, + { + "epoch": 1.32, + "learning_rate": 1.997311443773056e-05, + "loss": 0.8184, + "step": 5024 + }, + { + "epoch": 1.32, + "learning_rate": 1.9973089560622512e-05, + "loss": 0.6605, + "step": 5025 + }, + { + "epoch": 1.32, + "learning_rate": 1.9973064672025947e-05, + "loss": 0.743, + "step": 5026 + }, + { + "epoch": 1.32, + "learning_rate": 1.9973039771940895e-05, + "loss": 0.6322, + "step": 5027 + }, + { + "epoch": 1.32, + "learning_rate": 1.997301486036738e-05, + "loss": 0.7342, + "step": 5028 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972989937305433e-05, + "loss": 0.6255, + "step": 5029 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972965002755084e-05, + "loss": 0.6533, + "step": 5030 + }, + { + "epoch": 1.32, + "learning_rate": 1.997294005671636e-05, + "loss": 0.6407, + "step": 5031 + }, + { + "epoch": 1.32, + "learning_rate": 1.997291509918929e-05, + "loss": 0.6346, + "step": 5032 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972890130173906e-05, + "loss": 0.6456, + "step": 5033 + }, + { + "epoch": 1.32, + "learning_rate": 1.997286514967023e-05, + "loss": 0.8226, + "step": 5034 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972840157678296e-05, + "loss": 0.9686, + "step": 5035 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972815154198134e-05, + "loss": 0.7918, + "step": 5036 + }, + { + "epoch": 1.32, + "learning_rate": 1.997279013922977e-05, + "loss": 0.5866, + "step": 5037 + }, + { + "epoch": 1.32, + "learning_rate": 1.997276511277323e-05, + "loss": 0.6764, + "step": 5038 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972740074828546e-05, + "loss": 0.5539, + "step": 5039 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972715025395746e-05, + "loss": 0.795, + "step": 5040 + }, + { + "epoch": 1.32, + "learning_rate": 1.997268996447486e-05, + "loss": 0.9737, + "step": 5041 + }, + { + "epoch": 1.32, + "learning_rate": 1.997266489206592e-05, + "loss": 0.7047, + "step": 5042 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972639808168947e-05, + "loss": 0.6681, + "step": 5043 + }, + { + "epoch": 1.32, + "learning_rate": 1.997261471278398e-05, + "loss": 0.584, + "step": 5044 + }, + { + "epoch": 1.32, + "learning_rate": 1.997258960591104e-05, + "loss": 0.7316, + "step": 5045 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972564487550153e-05, + "loss": 0.732, + "step": 5046 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972539357701355e-05, + "loss": 0.7984, + "step": 5047 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972514216364674e-05, + "loss": 0.6566, + "step": 5048 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972489063540138e-05, + "loss": 0.6607, + "step": 5049 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972463899227776e-05, + "loss": 0.6778, + "step": 5050 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972438723427617e-05, + "loss": 0.6148, + "step": 5051 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972413536139686e-05, + "loss": 0.7349, + "step": 5052 + }, + { + "epoch": 1.32, + "learning_rate": 1.997238833736402e-05, + "loss": 0.5852, + "step": 5053 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972363127100645e-05, + "loss": 0.7202, + "step": 5054 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972337905349587e-05, + "loss": 0.7217, + "step": 5055 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972312672110877e-05, + "loss": 0.5088, + "step": 5056 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972287427384547e-05, + "loss": 0.6755, + "step": 5057 + }, + { + "epoch": 1.32, + "learning_rate": 1.9972262171170618e-05, + "loss": 0.6578, + "step": 5058 + }, + { + "epoch": 1.33, + "learning_rate": 1.9972236903469126e-05, + "loss": 0.7132, + "step": 5059 + }, + { + "epoch": 1.33, + "learning_rate": 1.99722116242801e-05, + "loss": 0.7766, + "step": 5060 + }, + { + "epoch": 1.33, + "learning_rate": 1.9972186333603567e-05, + "loss": 0.6165, + "step": 5061 + }, + { + "epoch": 1.33, + "learning_rate": 1.9972161031439557e-05, + "loss": 0.7375, + "step": 5062 + }, + { + "epoch": 1.33, + "learning_rate": 1.9972135717788097e-05, + "loss": 0.8165, + "step": 5063 + }, + { + "epoch": 1.33, + "learning_rate": 1.9972110392649216e-05, + "loss": 0.6797, + "step": 5064 + }, + { + "epoch": 1.33, + "learning_rate": 1.997208505602295e-05, + "loss": 0.8788, + "step": 5065 + }, + { + "epoch": 1.33, + "learning_rate": 1.9972059707909323e-05, + "loss": 0.6849, + "step": 5066 + }, + { + "epoch": 1.33, + "learning_rate": 1.997203434830836e-05, + "loss": 0.8006, + "step": 5067 + }, + { + "epoch": 1.33, + "learning_rate": 1.9972008977220095e-05, + "loss": 0.812, + "step": 5068 + }, + { + "epoch": 1.33, + "learning_rate": 1.997198359464456e-05, + "loss": 0.7515, + "step": 5069 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971958200581782e-05, + "loss": 0.7607, + "step": 5070 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971932795031787e-05, + "loss": 0.8013, + "step": 5071 + }, + { + "epoch": 1.33, + "learning_rate": 1.997190737799461e-05, + "loss": 0.8987, + "step": 5072 + }, + { + "epoch": 1.33, + "learning_rate": 1.997188194947027e-05, + "loss": 0.6555, + "step": 5073 + }, + { + "epoch": 1.33, + "learning_rate": 1.997185650945881e-05, + "loss": 1.0135, + "step": 5074 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971831057960248e-05, + "loss": 0.6936, + "step": 5075 + }, + { + "epoch": 1.33, + "learning_rate": 1.997180559497462e-05, + "loss": 0.8193, + "step": 5076 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971780120501956e-05, + "loss": 0.8818, + "step": 5077 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971754634542276e-05, + "loss": 0.6786, + "step": 5078 + }, + { + "epoch": 1.33, + "learning_rate": 1.997172913709562e-05, + "loss": 0.7255, + "step": 5079 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971703628162014e-05, + "loss": 0.7205, + "step": 5080 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971678107741487e-05, + "loss": 0.8177, + "step": 5081 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971652575834064e-05, + "loss": 0.8014, + "step": 5082 + }, + { + "epoch": 1.33, + "learning_rate": 1.997162703243978e-05, + "loss": 0.6182, + "step": 5083 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971601477558663e-05, + "loss": 0.6288, + "step": 5084 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971575911190745e-05, + "loss": 0.5796, + "step": 5085 + }, + { + "epoch": 1.33, + "learning_rate": 1.997155033333605e-05, + "loss": 0.6898, + "step": 5086 + }, + { + "epoch": 1.33, + "learning_rate": 1.997152474399461e-05, + "loss": 0.8517, + "step": 5087 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971499143166455e-05, + "loss": 0.7784, + "step": 5088 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971473530851618e-05, + "loss": 0.7641, + "step": 5089 + }, + { + "epoch": 1.33, + "learning_rate": 1.997144790705012e-05, + "loss": 0.7334, + "step": 5090 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971422271761997e-05, + "loss": 0.5847, + "step": 5091 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971396624987277e-05, + "loss": 0.7368, + "step": 5092 + }, + { + "epoch": 1.33, + "learning_rate": 1.997137096672599e-05, + "loss": 0.7653, + "step": 5093 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971345296978163e-05, + "loss": 0.6403, + "step": 5094 + }, + { + "epoch": 1.33, + "learning_rate": 1.9971319615743826e-05, + "loss": 0.6772, + "step": 5095 + }, + { + "epoch": 1.33, + "learning_rate": 1.997129392302301e-05, + "loss": 0.6976, + "step": 5096 + }, + { + "epoch": 1.34, + "learning_rate": 1.9971268218815748e-05, + "loss": 0.737, + "step": 5097 + }, + { + "epoch": 1.34, + "learning_rate": 1.9971242503122064e-05, + "loss": 0.6397, + "step": 5098 + }, + { + "epoch": 1.34, + "learning_rate": 1.9971216775941994e-05, + "loss": 0.7887, + "step": 5099 + }, + { + "epoch": 1.34, + "learning_rate": 1.997119103727556e-05, + "loss": 0.9679, + "step": 5100 + }, + { + "epoch": 1.34, + "learning_rate": 1.9971165287122797e-05, + "loss": 0.7641, + "step": 5101 + }, + { + "epoch": 1.34, + "learning_rate": 1.997113952548373e-05, + "loss": 0.5996, + "step": 5102 + }, + { + "epoch": 1.34, + "learning_rate": 1.9971113752358392e-05, + "loss": 0.6397, + "step": 5103 + }, + { + "epoch": 1.34, + "learning_rate": 1.997108796774681e-05, + "loss": 0.5676, + "step": 5104 + }, + { + "epoch": 1.34, + "learning_rate": 1.997106217164902e-05, + "loss": 0.6002, + "step": 5105 + }, + { + "epoch": 1.34, + "learning_rate": 1.9971036364065045e-05, + "loss": 0.7504, + "step": 5106 + }, + { + "epoch": 1.34, + "learning_rate": 1.997101054499492e-05, + "loss": 0.5708, + "step": 5107 + }, + { + "epoch": 1.34, + "learning_rate": 1.997098471443867e-05, + "loss": 0.653, + "step": 5108 + }, + { + "epoch": 1.34, + "learning_rate": 1.997095887239633e-05, + "loss": 0.762, + "step": 5109 + }, + { + "epoch": 1.34, + "learning_rate": 1.9970933018867922e-05, + "loss": 0.8037, + "step": 5110 + }, + { + "epoch": 1.34, + "learning_rate": 1.9970907153853484e-05, + "loss": 0.8348, + "step": 5111 + }, + { + "epoch": 1.34, + "learning_rate": 1.9970881277353038e-05, + "loss": 0.8614, + "step": 5112 + }, + { + "epoch": 1.34, + "learning_rate": 1.997085538936662e-05, + "loss": 0.6023, + "step": 5113 + }, + { + "epoch": 1.34, + "learning_rate": 1.997082948989426e-05, + "loss": 0.5979, + "step": 5114 + }, + { + "epoch": 1.34, + "learning_rate": 1.997080357893598e-05, + "loss": 0.6581, + "step": 5115 + }, + { + "epoch": 1.34, + "learning_rate": 1.997077765649182e-05, + "loss": 0.7035, + "step": 5116 + }, + { + "epoch": 1.34, + "learning_rate": 1.9970751722561806e-05, + "loss": 0.776, + "step": 5117 + }, + { + "epoch": 1.34, + "learning_rate": 1.9970725777145967e-05, + "loss": 0.7794, + "step": 5118 + }, + { + "epoch": 1.34, + "learning_rate": 1.997069982024433e-05, + "loss": 0.6578, + "step": 5119 + }, + { + "epoch": 1.34, + "learning_rate": 1.997067385185693e-05, + "loss": 0.7052, + "step": 5120 + }, + { + "epoch": 1.34, + "learning_rate": 1.9970647871983794e-05, + "loss": 0.8415, + "step": 5121 + }, + { + "epoch": 1.34, + "learning_rate": 1.9970621880624955e-05, + "loss": 0.649, + "step": 5122 + }, + { + "epoch": 1.34, + "learning_rate": 1.9970595877780438e-05, + "loss": 0.7241, + "step": 5123 + }, + { + "epoch": 1.34, + "learning_rate": 1.997056986345028e-05, + "loss": 0.4885, + "step": 5124 + }, + { + "epoch": 1.34, + "learning_rate": 1.99705438376345e-05, + "loss": 0.8262, + "step": 5125 + }, + { + "epoch": 1.34, + "learning_rate": 1.997051780033314e-05, + "loss": 0.6602, + "step": 5126 + }, + { + "epoch": 1.34, + "learning_rate": 1.9970491751546222e-05, + "loss": 0.8782, + "step": 5127 + }, + { + "epoch": 1.34, + "learning_rate": 1.997046569127378e-05, + "loss": 0.8744, + "step": 5128 + }, + { + "epoch": 1.34, + "learning_rate": 1.9970439619515843e-05, + "loss": 0.7876, + "step": 5129 + }, + { + "epoch": 1.34, + "learning_rate": 1.997041353627244e-05, + "loss": 0.679, + "step": 5130 + }, + { + "epoch": 1.34, + "learning_rate": 1.99703874415436e-05, + "loss": 0.6566, + "step": 5131 + }, + { + "epoch": 1.34, + "learning_rate": 1.9970361335329357e-05, + "loss": 0.775, + "step": 5132 + }, + { + "epoch": 1.34, + "learning_rate": 1.997033521762974e-05, + "loss": 0.6142, + "step": 5133 + }, + { + "epoch": 1.34, + "learning_rate": 1.9970309088444777e-05, + "loss": 0.8146, + "step": 5134 + }, + { + "epoch": 1.35, + "learning_rate": 1.9970282947774497e-05, + "loss": 0.6852, + "step": 5135 + }, + { + "epoch": 1.35, + "learning_rate": 1.9970256795618936e-05, + "loss": 0.6789, + "step": 5136 + }, + { + "epoch": 1.35, + "learning_rate": 1.9970230631978115e-05, + "loss": 0.5806, + "step": 5137 + }, + { + "epoch": 1.35, + "learning_rate": 1.9970204456852074e-05, + "loss": 0.5987, + "step": 5138 + }, + { + "epoch": 1.35, + "learning_rate": 1.9970178270240838e-05, + "loss": 0.6331, + "step": 5139 + }, + { + "epoch": 1.35, + "learning_rate": 1.9970152072144435e-05, + "loss": 0.7049, + "step": 5140 + }, + { + "epoch": 1.35, + "learning_rate": 1.9970125862562902e-05, + "loss": 0.7295, + "step": 5141 + }, + { + "epoch": 1.35, + "learning_rate": 1.997009964149626e-05, + "loss": 0.7972, + "step": 5142 + }, + { + "epoch": 1.35, + "learning_rate": 1.997007340894455e-05, + "loss": 0.6792, + "step": 5143 + }, + { + "epoch": 1.35, + "learning_rate": 1.9970047164907793e-05, + "loss": 0.6797, + "step": 5144 + }, + { + "epoch": 1.35, + "learning_rate": 1.9970020909386022e-05, + "loss": 0.6104, + "step": 5145 + }, + { + "epoch": 1.35, + "learning_rate": 1.996999464237927e-05, + "loss": 0.6057, + "step": 5146 + }, + { + "epoch": 1.35, + "learning_rate": 1.9969968363887566e-05, + "loss": 0.5868, + "step": 5147 + }, + { + "epoch": 1.35, + "learning_rate": 1.996994207391094e-05, + "loss": 0.9693, + "step": 5148 + }, + { + "epoch": 1.35, + "learning_rate": 1.996991577244942e-05, + "loss": 0.4938, + "step": 5149 + }, + { + "epoch": 1.35, + "learning_rate": 1.996988945950304e-05, + "loss": 0.7449, + "step": 5150 + }, + { + "epoch": 1.35, + "learning_rate": 1.9969863135071826e-05, + "loss": 0.7151, + "step": 5151 + }, + { + "epoch": 1.35, + "learning_rate": 1.996983679915581e-05, + "loss": 0.7394, + "step": 5152 + }, + { + "epoch": 1.35, + "learning_rate": 1.9969810451755028e-05, + "loss": 0.6497, + "step": 5153 + }, + { + "epoch": 1.35, + "learning_rate": 1.99697840928695e-05, + "loss": 0.8422, + "step": 5154 + }, + { + "epoch": 1.35, + "learning_rate": 1.996975772249927e-05, + "loss": 0.6628, + "step": 5155 + }, + { + "epoch": 1.35, + "learning_rate": 1.996973134064435e-05, + "loss": 0.644, + "step": 5156 + }, + { + "epoch": 1.35, + "learning_rate": 1.9969704947304786e-05, + "loss": 0.6551, + "step": 5157 + }, + { + "epoch": 1.35, + "learning_rate": 1.99696785424806e-05, + "loss": 0.748, + "step": 5158 + }, + { + "epoch": 1.35, + "learning_rate": 1.996965212617183e-05, + "loss": 0.7484, + "step": 5159 + }, + { + "epoch": 1.35, + "learning_rate": 1.99696256983785e-05, + "loss": 0.7314, + "step": 5160 + }, + { + "epoch": 1.35, + "learning_rate": 1.9969599259100643e-05, + "loss": 0.6827, + "step": 5161 + }, + { + "epoch": 1.35, + "learning_rate": 1.996957280833829e-05, + "loss": 0.6445, + "step": 5162 + }, + { + "epoch": 1.35, + "learning_rate": 1.9969546346091467e-05, + "loss": 0.7537, + "step": 5163 + }, + { + "epoch": 1.35, + "learning_rate": 1.996951987236021e-05, + "loss": 0.6744, + "step": 5164 + }, + { + "epoch": 1.35, + "learning_rate": 1.9969493387144543e-05, + "loss": 0.7733, + "step": 5165 + }, + { + "epoch": 1.35, + "learning_rate": 1.9969466890444503e-05, + "loss": 0.5989, + "step": 5166 + }, + { + "epoch": 1.35, + "learning_rate": 1.996944038226012e-05, + "loss": 0.7553, + "step": 5167 + }, + { + "epoch": 1.35, + "learning_rate": 1.9969413862591422e-05, + "loss": 0.7114, + "step": 5168 + }, + { + "epoch": 1.35, + "learning_rate": 1.9969387331438443e-05, + "loss": 0.6578, + "step": 5169 + }, + { + "epoch": 1.35, + "learning_rate": 1.9969360788801207e-05, + "loss": 0.6885, + "step": 5170 + }, + { + "epoch": 1.35, + "learning_rate": 1.996933423467975e-05, + "loss": 0.6879, + "step": 5171 + }, + { + "epoch": 1.35, + "learning_rate": 1.9969307669074098e-05, + "loss": 0.6068, + "step": 5172 + }, + { + "epoch": 1.36, + "learning_rate": 1.996928109198429e-05, + "loss": 0.7276, + "step": 5173 + }, + { + "epoch": 1.36, + "learning_rate": 1.9969254503410345e-05, + "loss": 0.6674, + "step": 5174 + }, + { + "epoch": 1.36, + "learning_rate": 1.9969227903352302e-05, + "loss": 0.8824, + "step": 5175 + }, + { + "epoch": 1.36, + "learning_rate": 1.9969201291810194e-05, + "loss": 0.7096, + "step": 5176 + }, + { + "epoch": 1.36, + "learning_rate": 1.9969174668784043e-05, + "loss": 0.7868, + "step": 5177 + }, + { + "epoch": 1.36, + "learning_rate": 1.9969148034273887e-05, + "loss": 0.715, + "step": 5178 + }, + { + "epoch": 1.36, + "learning_rate": 1.996912138827975e-05, + "loss": 0.6227, + "step": 5179 + }, + { + "epoch": 1.36, + "learning_rate": 1.996909473080167e-05, + "loss": 0.9253, + "step": 5180 + }, + { + "epoch": 1.36, + "learning_rate": 1.996906806183967e-05, + "loss": 0.7574, + "step": 5181 + }, + { + "epoch": 1.36, + "learning_rate": 1.9969041381393786e-05, + "loss": 0.8186, + "step": 5182 + }, + { + "epoch": 1.36, + "learning_rate": 1.996901468946405e-05, + "loss": 0.8334, + "step": 5183 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968987986050487e-05, + "loss": 0.8307, + "step": 5184 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968961271153134e-05, + "loss": 0.6924, + "step": 5185 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968934544772016e-05, + "loss": 0.7123, + "step": 5186 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968907806907167e-05, + "loss": 0.7258, + "step": 5187 + }, + { + "epoch": 1.36, + "learning_rate": 1.996888105755862e-05, + "loss": 0.6834, + "step": 5188 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968854296726397e-05, + "loss": 0.6375, + "step": 5189 + }, + { + "epoch": 1.36, + "learning_rate": 1.996882752441054e-05, + "loss": 0.6483, + "step": 5190 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968800740611075e-05, + "loss": 0.6117, + "step": 5191 + }, + { + "epoch": 1.36, + "learning_rate": 1.996877394532803e-05, + "loss": 0.6771, + "step": 5192 + }, + { + "epoch": 1.36, + "learning_rate": 1.996874713856144e-05, + "loss": 0.7916, + "step": 5193 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968720320311332e-05, + "loss": 0.731, + "step": 5194 + }, + { + "epoch": 1.36, + "learning_rate": 1.996869349057774e-05, + "loss": 0.6454, + "step": 5195 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968666649360697e-05, + "loss": 0.8238, + "step": 5196 + }, + { + "epoch": 1.36, + "learning_rate": 1.996863979666023e-05, + "loss": 0.6765, + "step": 5197 + }, + { + "epoch": 1.36, + "learning_rate": 1.996861293247637e-05, + "loss": 0.759, + "step": 5198 + }, + { + "epoch": 1.36, + "learning_rate": 1.996858605680915e-05, + "loss": 0.7622, + "step": 5199 + }, + { + "epoch": 1.36, + "learning_rate": 1.99685591696586e-05, + "loss": 0.833, + "step": 5200 + }, + { + "epoch": 1.36, + "learning_rate": 1.996853227102475e-05, + "loss": 0.8695, + "step": 5201 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968505360907634e-05, + "loss": 0.6894, + "step": 5202 + }, + { + "epoch": 1.36, + "learning_rate": 1.996847843930728e-05, + "loss": 0.6458, + "step": 5203 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968451506223714e-05, + "loss": 0.6728, + "step": 5204 + }, + { + "epoch": 1.36, + "learning_rate": 1.996842456165698e-05, + "loss": 0.8181, + "step": 5205 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968397605607102e-05, + "loss": 0.825, + "step": 5206 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968370638074108e-05, + "loss": 0.6558, + "step": 5207 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968343659058034e-05, + "loss": 0.7426, + "step": 5208 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968316668558908e-05, + "loss": 0.8127, + "step": 5209 + }, + { + "epoch": 1.36, + "learning_rate": 1.9968289666576762e-05, + "loss": 0.6, + "step": 5210 + }, + { + "epoch": 1.37, + "learning_rate": 1.9968262653111628e-05, + "loss": 0.6745, + "step": 5211 + }, + { + "epoch": 1.37, + "learning_rate": 1.9968235628163536e-05, + "loss": 0.7079, + "step": 5212 + }, + { + "epoch": 1.37, + "learning_rate": 1.996820859173252e-05, + "loss": 0.7591, + "step": 5213 + }, + { + "epoch": 1.37, + "learning_rate": 1.9968181543818606e-05, + "loss": 0.5438, + "step": 5214 + }, + { + "epoch": 1.37, + "learning_rate": 1.9968154484421826e-05, + "loss": 0.6683, + "step": 5215 + }, + { + "epoch": 1.37, + "learning_rate": 1.9968127413542217e-05, + "loss": 0.5272, + "step": 5216 + }, + { + "epoch": 1.37, + "learning_rate": 1.9968100331179806e-05, + "loss": 0.5903, + "step": 5217 + }, + { + "epoch": 1.37, + "learning_rate": 1.9968073237334623e-05, + "loss": 0.7478, + "step": 5218 + }, + { + "epoch": 1.37, + "learning_rate": 1.99680461320067e-05, + "loss": 0.6251, + "step": 5219 + }, + { + "epoch": 1.37, + "learning_rate": 1.996801901519607e-05, + "loss": 0.8303, + "step": 5220 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967991886902762e-05, + "loss": 0.8123, + "step": 5221 + }, + { + "epoch": 1.37, + "learning_rate": 1.996796474712681e-05, + "loss": 0.5171, + "step": 5222 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967937595868244e-05, + "loss": 0.684, + "step": 5223 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967910433127096e-05, + "loss": 0.707, + "step": 5224 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967883258903392e-05, + "loss": 0.671, + "step": 5225 + }, + { + "epoch": 1.37, + "learning_rate": 1.996785607319717e-05, + "loss": 0.7299, + "step": 5226 + }, + { + "epoch": 1.37, + "learning_rate": 1.996782887600846e-05, + "loss": 0.7897, + "step": 5227 + }, + { + "epoch": 1.37, + "learning_rate": 1.996780166733729e-05, + "loss": 0.6284, + "step": 5228 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967774447183693e-05, + "loss": 0.5807, + "step": 5229 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967747215547703e-05, + "loss": 0.6024, + "step": 5230 + }, + { + "epoch": 1.37, + "learning_rate": 1.996771997242935e-05, + "loss": 0.6495, + "step": 5231 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967692717828662e-05, + "loss": 0.6798, + "step": 5232 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967665451745676e-05, + "loss": 0.6641, + "step": 5233 + }, + { + "epoch": 1.37, + "learning_rate": 1.996763817418042e-05, + "loss": 0.6041, + "step": 5234 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967610885132922e-05, + "loss": 0.8194, + "step": 5235 + }, + { + "epoch": 1.37, + "learning_rate": 1.996758358460322e-05, + "loss": 0.6926, + "step": 5236 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967556272591338e-05, + "loss": 0.5588, + "step": 5237 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967528949097322e-05, + "loss": 0.4754, + "step": 5238 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967501614121185e-05, + "loss": 0.6498, + "step": 5239 + }, + { + "epoch": 1.37, + "learning_rate": 1.996747426766297e-05, + "loss": 0.9553, + "step": 5240 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967446909722707e-05, + "loss": 0.622, + "step": 5241 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967419540300426e-05, + "loss": 0.668, + "step": 5242 + }, + { + "epoch": 1.37, + "learning_rate": 1.996739215939616e-05, + "loss": 0.7416, + "step": 5243 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967364767009936e-05, + "loss": 0.9085, + "step": 5244 + }, + { + "epoch": 1.37, + "learning_rate": 1.996733736314179e-05, + "loss": 0.7318, + "step": 5245 + }, + { + "epoch": 1.37, + "learning_rate": 1.996730994779175e-05, + "loss": 0.6912, + "step": 5246 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967282520959854e-05, + "loss": 0.8521, + "step": 5247 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967255082646127e-05, + "loss": 0.6242, + "step": 5248 + }, + { + "epoch": 1.37, + "learning_rate": 1.9967227632850605e-05, + "loss": 0.7077, + "step": 5249 + }, + { + "epoch": 1.38, + "learning_rate": 1.9967200171573314e-05, + "loss": 0.7524, + "step": 5250 + }, + { + "epoch": 1.38, + "learning_rate": 1.9967172698814295e-05, + "loss": 0.6885, + "step": 5251 + }, + { + "epoch": 1.38, + "learning_rate": 1.996714521457357e-05, + "loss": 0.7147, + "step": 5252 + }, + { + "epoch": 1.38, + "learning_rate": 1.9967117718851177e-05, + "loss": 0.6955, + "step": 5253 + }, + { + "epoch": 1.38, + "learning_rate": 1.9967090211647143e-05, + "loss": 0.5754, + "step": 5254 + }, + { + "epoch": 1.38, + "learning_rate": 1.9967062692961506e-05, + "loss": 0.5841, + "step": 5255 + }, + { + "epoch": 1.38, + "learning_rate": 1.996703516279429e-05, + "loss": 0.7449, + "step": 5256 + }, + { + "epoch": 1.38, + "learning_rate": 1.996700762114553e-05, + "loss": 0.7617, + "step": 5257 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966980068015264e-05, + "loss": 0.7536, + "step": 5258 + }, + { + "epoch": 1.38, + "learning_rate": 1.996695250340351e-05, + "loss": 0.7552, + "step": 5259 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966924927310314e-05, + "loss": 0.9441, + "step": 5260 + }, + { + "epoch": 1.38, + "learning_rate": 1.99668973397357e-05, + "loss": 0.7041, + "step": 5261 + }, + { + "epoch": 1.38, + "learning_rate": 1.99668697406797e-05, + "loss": 0.6946, + "step": 5262 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966842130142345e-05, + "loss": 0.6073, + "step": 5263 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966814508123672e-05, + "loss": 0.8422, + "step": 5264 + }, + { + "epoch": 1.38, + "learning_rate": 1.996678687462371e-05, + "loss": 0.7982, + "step": 5265 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966759229642488e-05, + "loss": 0.6162, + "step": 5266 + }, + { + "epoch": 1.38, + "learning_rate": 1.996673157318004e-05, + "loss": 0.6326, + "step": 5267 + }, + { + "epoch": 1.38, + "learning_rate": 1.99667039052364e-05, + "loss": 0.7764, + "step": 5268 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966676225811602e-05, + "loss": 0.7645, + "step": 5269 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966648534905668e-05, + "loss": 0.7849, + "step": 5270 + }, + { + "epoch": 1.38, + "learning_rate": 1.996662083251864e-05, + "loss": 0.6943, + "step": 5271 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966593118650543e-05, + "loss": 0.5805, + "step": 5272 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966565393301413e-05, + "loss": 0.5588, + "step": 5273 + }, + { + "epoch": 1.38, + "learning_rate": 1.996653765647128e-05, + "loss": 0.6943, + "step": 5274 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966509908160175e-05, + "loss": 0.7449, + "step": 5275 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966482148368134e-05, + "loss": 0.6616, + "step": 5276 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966454377095185e-05, + "loss": 0.6229, + "step": 5277 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966426594341362e-05, + "loss": 0.5729, + "step": 5278 + }, + { + "epoch": 1.38, + "learning_rate": 1.99663988001067e-05, + "loss": 0.7258, + "step": 5279 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966370994391222e-05, + "loss": 0.773, + "step": 5280 + }, + { + "epoch": 1.38, + "learning_rate": 1.996634317719497e-05, + "loss": 0.7527, + "step": 5281 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966315348517967e-05, + "loss": 0.8602, + "step": 5282 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966287508360254e-05, + "loss": 0.747, + "step": 5283 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966259656721856e-05, + "loss": 0.8123, + "step": 5284 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966231793602807e-05, + "loss": 0.8114, + "step": 5285 + }, + { + "epoch": 1.38, + "learning_rate": 1.996620391900314e-05, + "loss": 0.694, + "step": 5286 + }, + { + "epoch": 1.38, + "learning_rate": 1.9966176032922893e-05, + "loss": 0.749, + "step": 5287 + }, + { + "epoch": 1.39, + "learning_rate": 1.9966148135362085e-05, + "loss": 0.6062, + "step": 5288 + }, + { + "epoch": 1.39, + "learning_rate": 1.9966120226320763e-05, + "loss": 0.7018, + "step": 5289 + }, + { + "epoch": 1.39, + "learning_rate": 1.996609230579894e-05, + "loss": 0.6582, + "step": 5290 + }, + { + "epoch": 1.39, + "learning_rate": 1.9966064373796673e-05, + "loss": 0.6841, + "step": 5291 + }, + { + "epoch": 1.39, + "learning_rate": 1.996603643031397e-05, + "loss": 0.9115, + "step": 5292 + }, + { + "epoch": 1.39, + "learning_rate": 1.996600847535088e-05, + "loss": 0.608, + "step": 5293 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965980508907424e-05, + "loss": 0.7934, + "step": 5294 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965952530983647e-05, + "loss": 0.6057, + "step": 5295 + }, + { + "epoch": 1.39, + "learning_rate": 1.996592454157957e-05, + "loss": 0.8067, + "step": 5296 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965896540695225e-05, + "loss": 0.7595, + "step": 5297 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965868528330652e-05, + "loss": 0.7296, + "step": 5298 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965840504485882e-05, + "loss": 0.8664, + "step": 5299 + }, + { + "epoch": 1.39, + "learning_rate": 1.996581246916094e-05, + "loss": 0.5897, + "step": 5300 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965784422355863e-05, + "loss": 0.5887, + "step": 5301 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965756364070686e-05, + "loss": 0.7401, + "step": 5302 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965728294305434e-05, + "loss": 0.9179, + "step": 5303 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965700213060148e-05, + "loss": 0.8439, + "step": 5304 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965672120334855e-05, + "loss": 0.6254, + "step": 5305 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965644016129592e-05, + "loss": 0.6204, + "step": 5306 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965615900444384e-05, + "loss": 0.7356, + "step": 5307 + }, + { + "epoch": 1.39, + "learning_rate": 1.996558777327927e-05, + "loss": 0.6664, + "step": 5308 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965559634634278e-05, + "loss": 0.581, + "step": 5309 + }, + { + "epoch": 1.39, + "learning_rate": 1.996553148450944e-05, + "loss": 0.5765, + "step": 5310 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965503322904794e-05, + "loss": 0.6423, + "step": 5311 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965475149820368e-05, + "loss": 0.7715, + "step": 5312 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965446965256198e-05, + "loss": 0.8587, + "step": 5313 + }, + { + "epoch": 1.39, + "learning_rate": 1.996541876921231e-05, + "loss": 0.6623, + "step": 5314 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965390561688743e-05, + "loss": 0.6554, + "step": 5315 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965362342685525e-05, + "loss": 0.6845, + "step": 5316 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965334112202693e-05, + "loss": 0.4697, + "step": 5317 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965305870240278e-05, + "loss": 0.7609, + "step": 5318 + }, + { + "epoch": 1.39, + "learning_rate": 1.996527761679831e-05, + "loss": 0.6669, + "step": 5319 + }, + { + "epoch": 1.39, + "learning_rate": 1.996524935187682e-05, + "loss": 0.6713, + "step": 5320 + }, + { + "epoch": 1.39, + "learning_rate": 1.9965221075475844e-05, + "loss": 0.6151, + "step": 5321 + }, + { + "epoch": 1.39, + "learning_rate": 1.996519278759542e-05, + "loss": 0.6894, + "step": 5322 + }, + { + "epoch": 1.39, + "learning_rate": 1.996516448823557e-05, + "loss": 0.6521, + "step": 5323 + }, + { + "epoch": 1.39, + "learning_rate": 1.996513617739633e-05, + "loss": 0.6351, + "step": 5324 + }, + { + "epoch": 1.39, + "learning_rate": 1.996510785507774e-05, + "loss": 0.6732, + "step": 5325 + }, + { + "epoch": 1.4, + "learning_rate": 1.9965079521279823e-05, + "loss": 0.7818, + "step": 5326 + }, + { + "epoch": 1.4, + "learning_rate": 1.9965051176002617e-05, + "loss": 0.7139, + "step": 5327 + }, + { + "epoch": 1.4, + "learning_rate": 1.996502281924615e-05, + "loss": 0.8245, + "step": 5328 + }, + { + "epoch": 1.4, + "learning_rate": 1.996499445101046e-05, + "loss": 0.7204, + "step": 5329 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964966071295576e-05, + "loss": 0.6559, + "step": 5330 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964937680101534e-05, + "loss": 0.8395, + "step": 5331 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964909277428363e-05, + "loss": 0.7344, + "step": 5332 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964880863276096e-05, + "loss": 0.6186, + "step": 5333 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964852437644768e-05, + "loss": 0.6752, + "step": 5334 + }, + { + "epoch": 1.4, + "learning_rate": 1.996482400053441e-05, + "loss": 0.5364, + "step": 5335 + }, + { + "epoch": 1.4, + "learning_rate": 1.996479555194506e-05, + "loss": 0.6487, + "step": 5336 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964767091876744e-05, + "loss": 0.7392, + "step": 5337 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964738620329494e-05, + "loss": 0.686, + "step": 5338 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964710137303352e-05, + "loss": 0.7074, + "step": 5339 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964681642798342e-05, + "loss": 0.7154, + "step": 5340 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964653136814497e-05, + "loss": 0.5443, + "step": 5341 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964624619351854e-05, + "loss": 0.7368, + "step": 5342 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964596090410448e-05, + "loss": 0.704, + "step": 5343 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964567549990302e-05, + "loss": 0.7995, + "step": 5344 + }, + { + "epoch": 1.4, + "learning_rate": 1.996453899809146e-05, + "loss": 0.6729, + "step": 5345 + }, + { + "epoch": 1.4, + "learning_rate": 1.996451043471395e-05, + "loss": 1.0096, + "step": 5346 + }, + { + "epoch": 1.4, + "learning_rate": 1.99644818598578e-05, + "loss": 0.7821, + "step": 5347 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964453273523052e-05, + "loss": 0.8211, + "step": 5348 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964424675709733e-05, + "loss": 0.6497, + "step": 5349 + }, + { + "epoch": 1.4, + "learning_rate": 1.996439606641788e-05, + "loss": 0.5957, + "step": 5350 + }, + { + "epoch": 1.4, + "learning_rate": 1.996436744564752e-05, + "loss": 0.6288, + "step": 5351 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964338813398694e-05, + "loss": 0.6123, + "step": 5352 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964310169671428e-05, + "loss": 0.543, + "step": 5353 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964281514465758e-05, + "loss": 0.6593, + "step": 5354 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964252847781714e-05, + "loss": 0.5407, + "step": 5355 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964224169619334e-05, + "loss": 0.8708, + "step": 5356 + }, + { + "epoch": 1.4, + "learning_rate": 1.996419547997865e-05, + "loss": 0.5749, + "step": 5357 + }, + { + "epoch": 1.4, + "learning_rate": 1.996416677885969e-05, + "loss": 0.6194, + "step": 5358 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964138066262494e-05, + "loss": 0.8013, + "step": 5359 + }, + { + "epoch": 1.4, + "learning_rate": 1.996410934218709e-05, + "loss": 0.6724, + "step": 5360 + }, + { + "epoch": 1.4, + "learning_rate": 1.996408060663351e-05, + "loss": 0.6924, + "step": 5361 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964051859601795e-05, + "loss": 0.6987, + "step": 5362 + }, + { + "epoch": 1.4, + "learning_rate": 1.9964023101091973e-05, + "loss": 0.7935, + "step": 5363 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963994331104075e-05, + "loss": 0.6649, + "step": 5364 + }, + { + "epoch": 1.41, + "learning_rate": 1.996396554963814e-05, + "loss": 0.8157, + "step": 5365 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963936756694192e-05, + "loss": 0.8609, + "step": 5366 + }, + { + "epoch": 1.41, + "learning_rate": 1.996390795227227e-05, + "loss": 0.6878, + "step": 5367 + }, + { + "epoch": 1.41, + "learning_rate": 1.996387913637241e-05, + "loss": 0.5861, + "step": 5368 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963850308994645e-05, + "loss": 0.8546, + "step": 5369 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963821470139e-05, + "loss": 0.7068, + "step": 5370 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963792619805512e-05, + "loss": 0.7412, + "step": 5371 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963763757994222e-05, + "loss": 0.6622, + "step": 5372 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963734884705154e-05, + "loss": 0.7902, + "step": 5373 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963705999938342e-05, + "loss": 0.6599, + "step": 5374 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963677103693825e-05, + "loss": 0.7569, + "step": 5375 + }, + { + "epoch": 1.41, + "learning_rate": 1.996364819597163e-05, + "loss": 0.718, + "step": 5376 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963619276771795e-05, + "loss": 0.7984, + "step": 5377 + }, + { + "epoch": 1.41, + "learning_rate": 1.996359034609435e-05, + "loss": 0.6445, + "step": 5378 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963561403939333e-05, + "loss": 0.685, + "step": 5379 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963532450306774e-05, + "loss": 0.6599, + "step": 5380 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963503485196702e-05, + "loss": 0.5447, + "step": 5381 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963474508609158e-05, + "loss": 0.7615, + "step": 5382 + }, + { + "epoch": 1.41, + "learning_rate": 1.996344552054417e-05, + "loss": 0.7196, + "step": 5383 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963416521001776e-05, + "loss": 0.7871, + "step": 5384 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963387509982004e-05, + "loss": 0.6636, + "step": 5385 + }, + { + "epoch": 1.41, + "learning_rate": 1.996335848748489e-05, + "loss": 0.6085, + "step": 5386 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963329453510475e-05, + "loss": 0.8608, + "step": 5387 + }, + { + "epoch": 1.41, + "learning_rate": 1.996330040805878e-05, + "loss": 0.6251, + "step": 5388 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963271351129844e-05, + "loss": 0.638, + "step": 5389 + }, + { + "epoch": 1.41, + "learning_rate": 1.99632422827237e-05, + "loss": 0.7292, + "step": 5390 + }, + { + "epoch": 1.41, + "learning_rate": 1.996321320284038e-05, + "loss": 0.677, + "step": 5391 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963184111479922e-05, + "loss": 1.0373, + "step": 5392 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963155008642358e-05, + "loss": 0.832, + "step": 5393 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963125894327717e-05, + "loss": 0.6369, + "step": 5394 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963096768536037e-05, + "loss": 0.6163, + "step": 5395 + }, + { + "epoch": 1.41, + "learning_rate": 1.996306763126735e-05, + "loss": 0.5986, + "step": 5396 + }, + { + "epoch": 1.41, + "learning_rate": 1.996303848252169e-05, + "loss": 0.6916, + "step": 5397 + }, + { + "epoch": 1.41, + "learning_rate": 1.9963009322299092e-05, + "loss": 0.7243, + "step": 5398 + }, + { + "epoch": 1.41, + "learning_rate": 1.9962980150599585e-05, + "loss": 0.7976, + "step": 5399 + }, + { + "epoch": 1.41, + "learning_rate": 1.996295096742321e-05, + "loss": 0.6218, + "step": 5400 + }, + { + "epoch": 1.41, + "learning_rate": 1.9962921772769993e-05, + "loss": 0.7008, + "step": 5401 + }, + { + "epoch": 1.42, + "learning_rate": 1.996289256663997e-05, + "loss": 0.8163, + "step": 5402 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962863349033177e-05, + "loss": 0.6686, + "step": 5403 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962834119949645e-05, + "loss": 0.8194, + "step": 5404 + }, + { + "epoch": 1.42, + "learning_rate": 1.996280487938941e-05, + "loss": 0.6321, + "step": 5405 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962775627352506e-05, + "loss": 0.6555, + "step": 5406 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962746363838964e-05, + "loss": 0.6324, + "step": 5407 + }, + { + "epoch": 1.42, + "learning_rate": 1.996271708884882e-05, + "loss": 0.634, + "step": 5408 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962687802382106e-05, + "loss": 0.6316, + "step": 5409 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962658504438857e-05, + "loss": 0.7733, + "step": 5410 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962629195019104e-05, + "loss": 0.7696, + "step": 5411 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962599874122885e-05, + "loss": 0.8151, + "step": 5412 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962570541750234e-05, + "loss": 0.8869, + "step": 5413 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962541197901177e-05, + "loss": 0.7408, + "step": 5414 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962511842575756e-05, + "loss": 0.8407, + "step": 5415 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962482475774e-05, + "loss": 0.6384, + "step": 5416 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962453097495947e-05, + "loss": 0.7561, + "step": 5417 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962423707741632e-05, + "loss": 0.6401, + "step": 5418 + }, + { + "epoch": 1.42, + "learning_rate": 1.996239430651108e-05, + "loss": 0.7967, + "step": 5419 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962364893804333e-05, + "loss": 0.6807, + "step": 5420 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962335469621425e-05, + "loss": 0.7452, + "step": 5421 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962306033962386e-05, + "loss": 0.6636, + "step": 5422 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962276586827246e-05, + "loss": 0.5856, + "step": 5423 + }, + { + "epoch": 1.42, + "learning_rate": 1.996224712821605e-05, + "loss": 0.6271, + "step": 5424 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962217658128825e-05, + "loss": 0.552, + "step": 5425 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962188176565604e-05, + "loss": 0.6993, + "step": 5426 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962158683526425e-05, + "loss": 0.5351, + "step": 5427 + }, + { + "epoch": 1.42, + "learning_rate": 1.996212917901132e-05, + "loss": 0.5201, + "step": 5428 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962099663020322e-05, + "loss": 0.8118, + "step": 5429 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962070135553465e-05, + "loss": 0.5857, + "step": 5430 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962040596610786e-05, + "loss": 0.6581, + "step": 5431 + }, + { + "epoch": 1.42, + "learning_rate": 1.9962011046192315e-05, + "loss": 0.7243, + "step": 5432 + }, + { + "epoch": 1.42, + "learning_rate": 1.996198148429809e-05, + "loss": 0.6294, + "step": 5433 + }, + { + "epoch": 1.42, + "learning_rate": 1.996195191092814e-05, + "loss": 0.8521, + "step": 5434 + }, + { + "epoch": 1.42, + "learning_rate": 1.9961922326082507e-05, + "loss": 0.6588, + "step": 5435 + }, + { + "epoch": 1.42, + "learning_rate": 1.9961892729761216e-05, + "loss": 0.6829, + "step": 5436 + }, + { + "epoch": 1.42, + "learning_rate": 1.9961863121964306e-05, + "loss": 0.6834, + "step": 5437 + }, + { + "epoch": 1.42, + "learning_rate": 1.996183350269181e-05, + "loss": 0.8254, + "step": 5438 + }, + { + "epoch": 1.42, + "learning_rate": 1.9961803871943767e-05, + "loss": 0.9432, + "step": 5439 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961774229720202e-05, + "loss": 0.8243, + "step": 5440 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961744576021157e-05, + "loss": 0.6239, + "step": 5441 + }, + { + "epoch": 1.43, + "learning_rate": 1.996171491084666e-05, + "loss": 0.6328, + "step": 5442 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961685234196747e-05, + "loss": 0.6562, + "step": 5443 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961655546071458e-05, + "loss": 0.6706, + "step": 5444 + }, + { + "epoch": 1.43, + "learning_rate": 1.996162584647082e-05, + "loss": 0.6915, + "step": 5445 + }, + { + "epoch": 1.43, + "learning_rate": 1.996159613539487e-05, + "loss": 0.8391, + "step": 5446 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961566412843644e-05, + "loss": 0.7003, + "step": 5447 + }, + { + "epoch": 1.43, + "learning_rate": 1.996153667881717e-05, + "loss": 0.6372, + "step": 5448 + }, + { + "epoch": 1.43, + "learning_rate": 1.996150693331549e-05, + "loss": 0.7336, + "step": 5449 + }, + { + "epoch": 1.43, + "learning_rate": 1.996147717633863e-05, + "loss": 0.5723, + "step": 5450 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961447407886636e-05, + "loss": 0.7702, + "step": 5451 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961417627959532e-05, + "loss": 0.7251, + "step": 5452 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961387836557355e-05, + "loss": 0.7746, + "step": 5453 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961358033680144e-05, + "loss": 0.7783, + "step": 5454 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961328219327924e-05, + "loss": 0.7226, + "step": 5455 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961298393500736e-05, + "loss": 0.7269, + "step": 5456 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961268556198612e-05, + "loss": 0.7338, + "step": 5457 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961238707421587e-05, + "loss": 0.6613, + "step": 5458 + }, + { + "epoch": 1.43, + "learning_rate": 1.99612088471697e-05, + "loss": 0.6553, + "step": 5459 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961178975442977e-05, + "loss": 0.6425, + "step": 5460 + }, + { + "epoch": 1.43, + "learning_rate": 1.996114909224146e-05, + "loss": 0.5739, + "step": 5461 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961119197565176e-05, + "loss": 0.775, + "step": 5462 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961089291414165e-05, + "loss": 0.671, + "step": 5463 + }, + { + "epoch": 1.43, + "learning_rate": 1.9961059373788462e-05, + "loss": 0.6585, + "step": 5464 + }, + { + "epoch": 1.43, + "learning_rate": 1.99610294446881e-05, + "loss": 0.6374, + "step": 5465 + }, + { + "epoch": 1.43, + "learning_rate": 1.9960999504113107e-05, + "loss": 0.6379, + "step": 5466 + }, + { + "epoch": 1.43, + "learning_rate": 1.9960969552063528e-05, + "loss": 0.7349, + "step": 5467 + }, + { + "epoch": 1.43, + "learning_rate": 1.996093958853939e-05, + "loss": 0.6462, + "step": 5468 + }, + { + "epoch": 1.43, + "learning_rate": 1.9960909613540735e-05, + "loss": 0.6667, + "step": 5469 + }, + { + "epoch": 1.43, + "learning_rate": 1.9960879627067588e-05, + "loss": 0.6036, + "step": 5470 + }, + { + "epoch": 1.43, + "learning_rate": 1.996084962911999e-05, + "loss": 0.6944, + "step": 5471 + }, + { + "epoch": 1.43, + "learning_rate": 1.9960819619697973e-05, + "loss": 0.8054, + "step": 5472 + }, + { + "epoch": 1.43, + "learning_rate": 1.9960789598801574e-05, + "loss": 0.5231, + "step": 5473 + }, + { + "epoch": 1.43, + "learning_rate": 1.9960759566430825e-05, + "loss": 0.7416, + "step": 5474 + }, + { + "epoch": 1.43, + "learning_rate": 1.9960729522585762e-05, + "loss": 0.6762, + "step": 5475 + }, + { + "epoch": 1.43, + "learning_rate": 1.996069946726642e-05, + "loss": 0.5812, + "step": 5476 + }, + { + "epoch": 1.43, + "learning_rate": 1.9960669400472833e-05, + "loss": 0.7987, + "step": 5477 + }, + { + "epoch": 1.43, + "learning_rate": 1.9960639322205035e-05, + "loss": 0.6215, + "step": 5478 + }, + { + "epoch": 1.44, + "learning_rate": 1.996060923246306e-05, + "loss": 0.6541, + "step": 5479 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960579131246945e-05, + "loss": 0.6802, + "step": 5480 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960549018556724e-05, + "loss": 0.5381, + "step": 5481 + }, + { + "epoch": 1.44, + "learning_rate": 1.996051889439243e-05, + "loss": 0.7173, + "step": 5482 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960488758754096e-05, + "loss": 0.6763, + "step": 5483 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960458611641768e-05, + "loss": 0.888, + "step": 5484 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960428453055466e-05, + "loss": 0.6809, + "step": 5485 + }, + { + "epoch": 1.44, + "learning_rate": 1.996039828299523e-05, + "loss": 0.7842, + "step": 5486 + }, + { + "epoch": 1.44, + "learning_rate": 1.99603681014611e-05, + "loss": 0.5903, + "step": 5487 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960337908453106e-05, + "loss": 0.6497, + "step": 5488 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960307703971283e-05, + "loss": 0.7912, + "step": 5489 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960277488015664e-05, + "loss": 0.6126, + "step": 5490 + }, + { + "epoch": 1.44, + "learning_rate": 1.996024726058629e-05, + "loss": 0.7326, + "step": 5491 + }, + { + "epoch": 1.44, + "learning_rate": 1.996021702168319e-05, + "loss": 0.6258, + "step": 5492 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960186771306397e-05, + "loss": 0.781, + "step": 5493 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960156509455954e-05, + "loss": 0.6929, + "step": 5494 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960126236131888e-05, + "loss": 0.6727, + "step": 5495 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960095951334238e-05, + "loss": 0.7359, + "step": 5496 + }, + { + "epoch": 1.44, + "learning_rate": 1.996006565506304e-05, + "loss": 0.7758, + "step": 5497 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960035347318326e-05, + "loss": 0.4905, + "step": 5498 + }, + { + "epoch": 1.44, + "learning_rate": 1.9960005028100134e-05, + "loss": 0.5347, + "step": 5499 + }, + { + "epoch": 1.44, + "learning_rate": 1.9959974697408495e-05, + "loss": 0.929, + "step": 5500 + }, + { + "epoch": 1.44, + "learning_rate": 1.995994435524345e-05, + "loss": 0.7701, + "step": 5501 + }, + { + "epoch": 1.44, + "learning_rate": 1.9959914001605022e-05, + "loss": 0.8176, + "step": 5502 + }, + { + "epoch": 1.44, + "learning_rate": 1.995988363649326e-05, + "loss": 0.5669, + "step": 5503 + }, + { + "epoch": 1.44, + "learning_rate": 1.9959853259908187e-05, + "loss": 0.7945, + "step": 5504 + }, + { + "epoch": 1.44, + "learning_rate": 1.995982287184985e-05, + "loss": 0.8004, + "step": 5505 + }, + { + "epoch": 1.44, + "learning_rate": 1.9959792472318273e-05, + "loss": 0.7953, + "step": 5506 + }, + { + "epoch": 1.44, + "learning_rate": 1.9959762061313497e-05, + "loss": 0.7249, + "step": 5507 + }, + { + "epoch": 1.44, + "learning_rate": 1.9959731638835555e-05, + "loss": 0.5454, + "step": 5508 + }, + { + "epoch": 1.44, + "learning_rate": 1.9959701204884484e-05, + "loss": 0.7193, + "step": 5509 + }, + { + "epoch": 1.44, + "learning_rate": 1.9959670759460318e-05, + "loss": 0.5752, + "step": 5510 + }, + { + "epoch": 1.44, + "learning_rate": 1.9959640302563093e-05, + "loss": 0.7563, + "step": 5511 + }, + { + "epoch": 1.44, + "learning_rate": 1.995960983419284e-05, + "loss": 0.7495, + "step": 5512 + }, + { + "epoch": 1.44, + "learning_rate": 1.99595793543496e-05, + "loss": 0.8355, + "step": 5513 + }, + { + "epoch": 1.44, + "learning_rate": 1.9959548863033405e-05, + "loss": 0.6394, + "step": 5514 + }, + { + "epoch": 1.44, + "learning_rate": 1.9959518360244288e-05, + "loss": 0.5866, + "step": 5515 + }, + { + "epoch": 1.44, + "learning_rate": 1.995948784598229e-05, + "loss": 0.7266, + "step": 5516 + }, + { + "epoch": 1.45, + "learning_rate": 1.995945732024744e-05, + "loss": 0.725, + "step": 5517 + }, + { + "epoch": 1.45, + "learning_rate": 1.9959426783039776e-05, + "loss": 0.7165, + "step": 5518 + }, + { + "epoch": 1.45, + "learning_rate": 1.9959396234359332e-05, + "loss": 0.7045, + "step": 5519 + }, + { + "epoch": 1.45, + "learning_rate": 1.9959365674206145e-05, + "loss": 0.6634, + "step": 5520 + }, + { + "epoch": 1.45, + "learning_rate": 1.995933510258025e-05, + "loss": 0.5888, + "step": 5521 + }, + { + "epoch": 1.45, + "learning_rate": 1.9959304519481683e-05, + "loss": 0.8756, + "step": 5522 + }, + { + "epoch": 1.45, + "learning_rate": 1.9959273924910478e-05, + "loss": 0.7993, + "step": 5523 + }, + { + "epoch": 1.45, + "learning_rate": 1.9959243318866666e-05, + "loss": 0.6831, + "step": 5524 + }, + { + "epoch": 1.45, + "learning_rate": 1.9959212701350287e-05, + "loss": 0.5252, + "step": 5525 + }, + { + "epoch": 1.45, + "learning_rate": 1.995918207236138e-05, + "loss": 0.8217, + "step": 5526 + }, + { + "epoch": 1.45, + "learning_rate": 1.995915143189997e-05, + "loss": 0.864, + "step": 5527 + }, + { + "epoch": 1.45, + "learning_rate": 1.9959120779966103e-05, + "loss": 0.8208, + "step": 5528 + }, + { + "epoch": 1.45, + "learning_rate": 1.9959090116559807e-05, + "loss": 0.8814, + "step": 5529 + }, + { + "epoch": 1.45, + "learning_rate": 1.995905944168112e-05, + "loss": 0.849, + "step": 5530 + }, + { + "epoch": 1.45, + "learning_rate": 1.995902875533008e-05, + "loss": 0.7287, + "step": 5531 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958998057506714e-05, + "loss": 0.6921, + "step": 5532 + }, + { + "epoch": 1.45, + "learning_rate": 1.995896734821107e-05, + "loss": 0.5091, + "step": 5533 + }, + { + "epoch": 1.45, + "learning_rate": 1.995893662744317e-05, + "loss": 0.9006, + "step": 5534 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958905895203057e-05, + "loss": 0.6692, + "step": 5535 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958875151490766e-05, + "loss": 0.7716, + "step": 5536 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958844396306333e-05, + "loss": 0.6843, + "step": 5537 + }, + { + "epoch": 1.45, + "learning_rate": 1.995881362964979e-05, + "loss": 0.7665, + "step": 5538 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958782851521175e-05, + "loss": 0.6631, + "step": 5539 + }, + { + "epoch": 1.45, + "learning_rate": 1.995875206192052e-05, + "loss": 0.7035, + "step": 5540 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958721260847865e-05, + "loss": 0.6722, + "step": 5541 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958690448303245e-05, + "loss": 0.6342, + "step": 5542 + }, + { + "epoch": 1.45, + "learning_rate": 1.995865962428669e-05, + "loss": 0.6606, + "step": 5543 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958628788798245e-05, + "loss": 0.727, + "step": 5544 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958597941837937e-05, + "loss": 0.6941, + "step": 5545 + }, + { + "epoch": 1.45, + "learning_rate": 1.995856708340581e-05, + "loss": 0.9595, + "step": 5546 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958536213501885e-05, + "loss": 0.6018, + "step": 5547 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958505332126215e-05, + "loss": 0.8314, + "step": 5548 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958474439278826e-05, + "loss": 0.6881, + "step": 5549 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958443534959754e-05, + "loss": 0.6722, + "step": 5550 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958412619169034e-05, + "loss": 0.7197, + "step": 5551 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958381691906706e-05, + "loss": 0.6741, + "step": 5552 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958350753172798e-05, + "loss": 0.627, + "step": 5553 + }, + { + "epoch": 1.45, + "learning_rate": 1.9958319802967353e-05, + "loss": 0.6234, + "step": 5554 + }, + { + "epoch": 1.46, + "learning_rate": 1.9958288841290408e-05, + "loss": 0.7149, + "step": 5555 + }, + { + "epoch": 1.46, + "learning_rate": 1.995825786814199e-05, + "loss": 0.7177, + "step": 5556 + }, + { + "epoch": 1.46, + "learning_rate": 1.9958226883522143e-05, + "loss": 0.6034, + "step": 5557 + }, + { + "epoch": 1.46, + "learning_rate": 1.9958195887430897e-05, + "loss": 0.8714, + "step": 5558 + }, + { + "epoch": 1.46, + "learning_rate": 1.995816487986829e-05, + "loss": 0.6886, + "step": 5559 + }, + { + "epoch": 1.46, + "learning_rate": 1.9958133860834358e-05, + "loss": 0.7559, + "step": 5560 + }, + { + "epoch": 1.46, + "learning_rate": 1.995810283032914e-05, + "loss": 0.6777, + "step": 5561 + }, + { + "epoch": 1.46, + "learning_rate": 1.995807178835266e-05, + "loss": 0.7524, + "step": 5562 + }, + { + "epoch": 1.46, + "learning_rate": 1.995804073490497e-05, + "loss": 0.58, + "step": 5563 + }, + { + "epoch": 1.46, + "learning_rate": 1.9958009669986092e-05, + "loss": 0.697, + "step": 5564 + }, + { + "epoch": 1.46, + "learning_rate": 1.995797859359607e-05, + "loss": 0.8862, + "step": 5565 + }, + { + "epoch": 1.46, + "learning_rate": 1.995794750573494e-05, + "loss": 0.7648, + "step": 5566 + }, + { + "epoch": 1.46, + "learning_rate": 1.995791640640273e-05, + "loss": 0.5415, + "step": 5567 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957885295599482e-05, + "loss": 0.582, + "step": 5568 + }, + { + "epoch": 1.46, + "learning_rate": 1.995785417332523e-05, + "loss": 0.9196, + "step": 5569 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957823039580013e-05, + "loss": 0.7774, + "step": 5570 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957791894363864e-05, + "loss": 0.773, + "step": 5571 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957760737676817e-05, + "loss": 0.7732, + "step": 5572 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957729569518912e-05, + "loss": 0.6303, + "step": 5573 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957698389890182e-05, + "loss": 0.6924, + "step": 5574 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957667198790664e-05, + "loss": 0.7427, + "step": 5575 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957635996220395e-05, + "loss": 0.5959, + "step": 5576 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957604782179413e-05, + "loss": 0.7303, + "step": 5577 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957573556667745e-05, + "loss": 0.6318, + "step": 5578 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957542319685435e-05, + "loss": 0.7738, + "step": 5579 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957511071232516e-05, + "loss": 0.6705, + "step": 5580 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957479811309027e-05, + "loss": 0.6184, + "step": 5581 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957448539915e-05, + "loss": 0.6749, + "step": 5582 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957417257050474e-05, + "loss": 0.6023, + "step": 5583 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957385962715485e-05, + "loss": 0.7989, + "step": 5584 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957354656910064e-05, + "loss": 0.6244, + "step": 5585 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957323339634254e-05, + "loss": 0.7733, + "step": 5586 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957292010888088e-05, + "loss": 0.6753, + "step": 5587 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957260670671597e-05, + "loss": 0.7737, + "step": 5588 + }, + { + "epoch": 1.46, + "learning_rate": 1.995722931898483e-05, + "loss": 0.7386, + "step": 5589 + }, + { + "epoch": 1.46, + "learning_rate": 1.995719795582781e-05, + "loss": 0.6352, + "step": 5590 + }, + { + "epoch": 1.46, + "learning_rate": 1.995716658120058e-05, + "loss": 0.719, + "step": 5591 + }, + { + "epoch": 1.46, + "learning_rate": 1.9957135195103175e-05, + "loss": 0.8192, + "step": 5592 + }, + { + "epoch": 1.47, + "learning_rate": 1.9957103797535632e-05, + "loss": 0.6777, + "step": 5593 + }, + { + "epoch": 1.47, + "learning_rate": 1.9957072388497986e-05, + "loss": 0.5483, + "step": 5594 + }, + { + "epoch": 1.47, + "learning_rate": 1.995704096799027e-05, + "loss": 0.6426, + "step": 5595 + }, + { + "epoch": 1.47, + "learning_rate": 1.9957009536012525e-05, + "loss": 0.826, + "step": 5596 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956978092564786e-05, + "loss": 0.6585, + "step": 5597 + }, + { + "epoch": 1.47, + "learning_rate": 1.995694663764709e-05, + "loss": 0.6647, + "step": 5598 + }, + { + "epoch": 1.47, + "learning_rate": 1.995691517125947e-05, + "loss": 0.7639, + "step": 5599 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956883693401966e-05, + "loss": 0.6298, + "step": 5600 + }, + { + "epoch": 1.47, + "learning_rate": 1.995685220407461e-05, + "loss": 0.9038, + "step": 5601 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956820703277443e-05, + "loss": 0.7615, + "step": 5602 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956789191010495e-05, + "loss": 0.7784, + "step": 5603 + }, + { + "epoch": 1.47, + "learning_rate": 1.995675766727381e-05, + "loss": 0.7712, + "step": 5604 + }, + { + "epoch": 1.47, + "learning_rate": 1.995672613206742e-05, + "loss": 0.6105, + "step": 5605 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956694585391363e-05, + "loss": 0.9536, + "step": 5606 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956663027245672e-05, + "loss": 0.6331, + "step": 5607 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956631457630386e-05, + "loss": 0.5515, + "step": 5608 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956599876545542e-05, + "loss": 0.6929, + "step": 5609 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956568283991178e-05, + "loss": 0.7952, + "step": 5610 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956536679967326e-05, + "loss": 0.696, + "step": 5611 + }, + { + "epoch": 1.47, + "learning_rate": 1.995650506447402e-05, + "loss": 0.6903, + "step": 5612 + }, + { + "epoch": 1.47, + "learning_rate": 1.995647343751131e-05, + "loss": 0.5471, + "step": 5613 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956441799079217e-05, + "loss": 0.7999, + "step": 5614 + }, + { + "epoch": 1.47, + "learning_rate": 1.995641014917778e-05, + "loss": 0.7101, + "step": 5615 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956378487807044e-05, + "loss": 0.6831, + "step": 5616 + }, + { + "epoch": 1.47, + "learning_rate": 1.995634681496704e-05, + "loss": 0.8025, + "step": 5617 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956315130657802e-05, + "loss": 0.4416, + "step": 5618 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956283434879374e-05, + "loss": 0.9378, + "step": 5619 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956251727631785e-05, + "loss": 0.7784, + "step": 5620 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956220008915074e-05, + "loss": 0.5354, + "step": 5621 + }, + { + "epoch": 1.47, + "learning_rate": 1.995618827872928e-05, + "loss": 0.8824, + "step": 5622 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956156537074437e-05, + "loss": 0.8765, + "step": 5623 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956124783950584e-05, + "loss": 0.9828, + "step": 5624 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956093019357753e-05, + "loss": 0.6711, + "step": 5625 + }, + { + "epoch": 1.47, + "learning_rate": 1.9956061243295984e-05, + "loss": 0.615, + "step": 5626 + }, + { + "epoch": 1.47, + "learning_rate": 1.995602945576531e-05, + "loss": 0.6196, + "step": 5627 + }, + { + "epoch": 1.47, + "learning_rate": 1.9955997656765775e-05, + "loss": 0.56, + "step": 5628 + }, + { + "epoch": 1.47, + "learning_rate": 1.995596584629741e-05, + "loss": 0.6625, + "step": 5629 + }, + { + "epoch": 1.47, + "learning_rate": 1.995593402436025e-05, + "loss": 0.7309, + "step": 5630 + }, + { + "epoch": 1.48, + "learning_rate": 1.995590219095434e-05, + "loss": 0.7313, + "step": 5631 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955870346079706e-05, + "loss": 0.8343, + "step": 5632 + }, + { + "epoch": 1.48, + "learning_rate": 1.995583848973639e-05, + "loss": 0.6808, + "step": 5633 + }, + { + "epoch": 1.48, + "learning_rate": 1.995580662192443e-05, + "loss": 0.5571, + "step": 5634 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955774742643867e-05, + "loss": 0.6699, + "step": 5635 + }, + { + "epoch": 1.48, + "learning_rate": 1.995574285189472e-05, + "loss": 0.8692, + "step": 5636 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955710949677047e-05, + "loss": 0.8123, + "step": 5637 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955679035990872e-05, + "loss": 1.0141, + "step": 5638 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955647110836238e-05, + "loss": 0.965, + "step": 5639 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955615174213173e-05, + "loss": 0.5744, + "step": 5640 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955583226121726e-05, + "loss": 0.7712, + "step": 5641 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955551266561924e-05, + "loss": 0.6234, + "step": 5642 + }, + { + "epoch": 1.48, + "learning_rate": 1.995551929553381e-05, + "loss": 0.5912, + "step": 5643 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955487313037417e-05, + "loss": 0.721, + "step": 5644 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955455319072784e-05, + "loss": 0.7291, + "step": 5645 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955423313639944e-05, + "loss": 0.68, + "step": 5646 + }, + { + "epoch": 1.48, + "learning_rate": 1.995539129673894e-05, + "loss": 0.7079, + "step": 5647 + }, + { + "epoch": 1.48, + "learning_rate": 1.99553592683698e-05, + "loss": 0.6266, + "step": 5648 + }, + { + "epoch": 1.48, + "learning_rate": 1.995532722853257e-05, + "loss": 0.7421, + "step": 5649 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955295177227287e-05, + "loss": 0.5216, + "step": 5650 + }, + { + "epoch": 1.48, + "learning_rate": 1.995526311445398e-05, + "loss": 0.6189, + "step": 5651 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955231040212696e-05, + "loss": 0.7336, + "step": 5652 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955198954503457e-05, + "loss": 0.6641, + "step": 5653 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955166857326317e-05, + "loss": 0.8148, + "step": 5654 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955134748681303e-05, + "loss": 0.7834, + "step": 5655 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955102628568453e-05, + "loss": 0.8344, + "step": 5656 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955070496987806e-05, + "loss": 0.6329, + "step": 5657 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955038353939397e-05, + "loss": 0.7128, + "step": 5658 + }, + { + "epoch": 1.48, + "learning_rate": 1.9955006199423266e-05, + "loss": 0.7333, + "step": 5659 + }, + { + "epoch": 1.48, + "learning_rate": 1.9954974033439448e-05, + "loss": 0.6551, + "step": 5660 + }, + { + "epoch": 1.48, + "learning_rate": 1.995494185598798e-05, + "loss": 0.6406, + "step": 5661 + }, + { + "epoch": 1.48, + "learning_rate": 1.99549096670689e-05, + "loss": 0.7057, + "step": 5662 + }, + { + "epoch": 1.48, + "learning_rate": 1.9954877466682243e-05, + "loss": 0.627, + "step": 5663 + }, + { + "epoch": 1.48, + "learning_rate": 1.9954845254828047e-05, + "loss": 0.6325, + "step": 5664 + }, + { + "epoch": 1.48, + "learning_rate": 1.9954813031506352e-05, + "loss": 0.6716, + "step": 5665 + }, + { + "epoch": 1.48, + "learning_rate": 1.9954780796717194e-05, + "loss": 0.7962, + "step": 5666 + }, + { + "epoch": 1.48, + "learning_rate": 1.9954748550460605e-05, + "loss": 0.7357, + "step": 5667 + }, + { + "epoch": 1.48, + "learning_rate": 1.9954716292736627e-05, + "loss": 0.7521, + "step": 5668 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954684023545297e-05, + "loss": 0.6465, + "step": 5669 + }, + { + "epoch": 1.49, + "learning_rate": 1.995465174288665e-05, + "loss": 0.5631, + "step": 5670 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954619450760728e-05, + "loss": 0.7674, + "step": 5671 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954587147167565e-05, + "loss": 0.593, + "step": 5672 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954554832107195e-05, + "loss": 0.762, + "step": 5673 + }, + { + "epoch": 1.49, + "learning_rate": 1.995452250557966e-05, + "loss": 0.6023, + "step": 5674 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954490167584994e-05, + "loss": 0.7219, + "step": 5675 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954457818123238e-05, + "loss": 0.8062, + "step": 5676 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954425457194424e-05, + "loss": 0.8161, + "step": 5677 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954393084798593e-05, + "loss": 0.5611, + "step": 5678 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954360700935783e-05, + "loss": 0.6687, + "step": 5679 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954328305606028e-05, + "loss": 0.66, + "step": 5680 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954295898809367e-05, + "loss": 0.6097, + "step": 5681 + }, + { + "epoch": 1.49, + "learning_rate": 1.995426348054584e-05, + "loss": 0.7761, + "step": 5682 + }, + { + "epoch": 1.49, + "learning_rate": 1.995423105081548e-05, + "loss": 0.7562, + "step": 5683 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954198609618327e-05, + "loss": 0.5289, + "step": 5684 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954166156954415e-05, + "loss": 0.6718, + "step": 5685 + }, + { + "epoch": 1.49, + "learning_rate": 1.995413369282379e-05, + "loss": 0.6952, + "step": 5686 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954101217226477e-05, + "loss": 0.8379, + "step": 5687 + }, + { + "epoch": 1.49, + "learning_rate": 1.9954068730162524e-05, + "loss": 0.6362, + "step": 5688 + }, + { + "epoch": 1.49, + "learning_rate": 1.995403623163196e-05, + "loss": 0.4809, + "step": 5689 + }, + { + "epoch": 1.49, + "learning_rate": 1.995400372163483e-05, + "loss": 0.5933, + "step": 5690 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953971200171168e-05, + "loss": 0.8966, + "step": 5691 + }, + { + "epoch": 1.49, + "learning_rate": 1.995393866724101e-05, + "loss": 0.6786, + "step": 5692 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953906122844397e-05, + "loss": 0.6446, + "step": 5693 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953873566981363e-05, + "loss": 0.6911, + "step": 5694 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953840999651948e-05, + "loss": 0.6511, + "step": 5695 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953808420856188e-05, + "loss": 0.8903, + "step": 5696 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953775830594118e-05, + "loss": 0.5128, + "step": 5697 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953743228865784e-05, + "loss": 0.6287, + "step": 5698 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953710615671216e-05, + "loss": 0.7801, + "step": 5699 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953677991010454e-05, + "loss": 0.5335, + "step": 5700 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953645354883533e-05, + "loss": 0.7097, + "step": 5701 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953612707290496e-05, + "loss": 0.6657, + "step": 5702 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953580048231374e-05, + "loss": 0.7374, + "step": 5703 + }, + { + "epoch": 1.49, + "learning_rate": 1.995354737770621e-05, + "loss": 0.6875, + "step": 5704 + }, + { + "epoch": 1.49, + "learning_rate": 1.995351469571504e-05, + "loss": 0.6929, + "step": 5705 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953482002257904e-05, + "loss": 0.6336, + "step": 5706 + }, + { + "epoch": 1.49, + "learning_rate": 1.9953449297334834e-05, + "loss": 0.8037, + "step": 5707 + }, + { + "epoch": 1.5, + "learning_rate": 1.9953416580945873e-05, + "loss": 0.7603, + "step": 5708 + }, + { + "epoch": 1.5, + "learning_rate": 1.9953383853091054e-05, + "loss": 0.7747, + "step": 5709 + }, + { + "epoch": 1.5, + "learning_rate": 1.995335111377042e-05, + "loss": 0.7934, + "step": 5710 + }, + { + "epoch": 1.5, + "learning_rate": 1.9953318362984003e-05, + "loss": 0.6176, + "step": 5711 + }, + { + "epoch": 1.5, + "learning_rate": 1.9953285600731843e-05, + "loss": 0.6346, + "step": 5712 + }, + { + "epoch": 1.5, + "learning_rate": 1.9953252827013977e-05, + "loss": 0.6942, + "step": 5713 + }, + { + "epoch": 1.5, + "learning_rate": 1.995322004183045e-05, + "loss": 0.737, + "step": 5714 + }, + { + "epoch": 1.5, + "learning_rate": 1.9953187245181288e-05, + "loss": 0.8004, + "step": 5715 + }, + { + "epoch": 1.5, + "learning_rate": 1.995315443706654e-05, + "loss": 0.6158, + "step": 5716 + }, + { + "epoch": 1.5, + "learning_rate": 1.9953121617486234e-05, + "loss": 0.5845, + "step": 5717 + }, + { + "epoch": 1.5, + "learning_rate": 1.9953088786440412e-05, + "loss": 0.7246, + "step": 5718 + }, + { + "epoch": 1.5, + "learning_rate": 1.9953055943929116e-05, + "loss": 0.6915, + "step": 5719 + }, + { + "epoch": 1.5, + "learning_rate": 1.9953023089952378e-05, + "loss": 0.845, + "step": 5720 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952990224510236e-05, + "loss": 0.7005, + "step": 5721 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952957347602734e-05, + "loss": 0.6775, + "step": 5722 + }, + { + "epoch": 1.5, + "learning_rate": 1.99529244592299e-05, + "loss": 0.748, + "step": 5723 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952891559391782e-05, + "loss": 0.7534, + "step": 5724 + }, + { + "epoch": 1.5, + "learning_rate": 1.995285864808841e-05, + "loss": 0.8885, + "step": 5725 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952825725319823e-05, + "loss": 0.9389, + "step": 5726 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952792791086067e-05, + "loss": 0.5264, + "step": 5727 + }, + { + "epoch": 1.5, + "learning_rate": 1.995275984538717e-05, + "loss": 0.7986, + "step": 5728 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952726888223174e-05, + "loss": 0.8029, + "step": 5729 + }, + { + "epoch": 1.5, + "learning_rate": 1.995269391959412e-05, + "loss": 0.9091, + "step": 5730 + }, + { + "epoch": 1.5, + "learning_rate": 1.995266093950004e-05, + "loss": 0.8163, + "step": 5731 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952627947940978e-05, + "loss": 0.5487, + "step": 5732 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952594944916965e-05, + "loss": 0.5991, + "step": 5733 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952561930428046e-05, + "loss": 0.7444, + "step": 5734 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952528904474255e-05, + "loss": 0.6772, + "step": 5735 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952495867055633e-05, + "loss": 0.748, + "step": 5736 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952462818172212e-05, + "loss": 0.873, + "step": 5737 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952429757824035e-05, + "loss": 0.7685, + "step": 5738 + }, + { + "epoch": 1.5, + "learning_rate": 1.995239668601114e-05, + "loss": 0.6114, + "step": 5739 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952363602733566e-05, + "loss": 0.8336, + "step": 5740 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952330507991348e-05, + "loss": 0.7276, + "step": 5741 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952297401784526e-05, + "loss": 0.6705, + "step": 5742 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952264284113136e-05, + "loss": 0.6719, + "step": 5743 + }, + { + "epoch": 1.5, + "learning_rate": 1.995223115497722e-05, + "loss": 0.7254, + "step": 5744 + }, + { + "epoch": 1.5, + "learning_rate": 1.9952198014376812e-05, + "loss": 0.7567, + "step": 5745 + }, + { + "epoch": 1.51, + "learning_rate": 1.9952164862311955e-05, + "loss": 0.8027, + "step": 5746 + }, + { + "epoch": 1.51, + "learning_rate": 1.9952131698782683e-05, + "loss": 0.6793, + "step": 5747 + }, + { + "epoch": 1.51, + "learning_rate": 1.9952098523789033e-05, + "loss": 0.7842, + "step": 5748 + }, + { + "epoch": 1.51, + "learning_rate": 1.9952065337331047e-05, + "loss": 0.8467, + "step": 5749 + }, + { + "epoch": 1.51, + "learning_rate": 1.9952032139408764e-05, + "loss": 0.8399, + "step": 5750 + }, + { + "epoch": 1.51, + "learning_rate": 1.995199893002222e-05, + "loss": 0.8099, + "step": 5751 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951965709171453e-05, + "loss": 0.8127, + "step": 5752 + }, + { + "epoch": 1.51, + "learning_rate": 1.99519324768565e-05, + "loss": 0.7802, + "step": 5753 + }, + { + "epoch": 1.51, + "learning_rate": 1.99518992330774e-05, + "loss": 0.6558, + "step": 5754 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951865977834196e-05, + "loss": 0.6713, + "step": 5755 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951832711126923e-05, + "loss": 0.6649, + "step": 5756 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951799432955617e-05, + "loss": 0.6387, + "step": 5757 + }, + { + "epoch": 1.51, + "learning_rate": 1.995176614332032e-05, + "loss": 0.6277, + "step": 5758 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951732842221067e-05, + "loss": 0.6609, + "step": 5759 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951699529657896e-05, + "loss": 0.6012, + "step": 5760 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951666205630852e-05, + "loss": 0.6482, + "step": 5761 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951632870139967e-05, + "loss": 0.7038, + "step": 5762 + }, + { + "epoch": 1.51, + "learning_rate": 1.995159952318528e-05, + "loss": 0.7163, + "step": 5763 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951566164766832e-05, + "loss": 0.7984, + "step": 5764 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951532794884657e-05, + "loss": 0.7451, + "step": 5765 + }, + { + "epoch": 1.51, + "learning_rate": 1.99514994135388e-05, + "loss": 0.6682, + "step": 5766 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951466020729296e-05, + "loss": 0.6476, + "step": 5767 + }, + { + "epoch": 1.51, + "learning_rate": 1.995143261645618e-05, + "loss": 0.8865, + "step": 5768 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951399200719497e-05, + "loss": 0.5898, + "step": 5769 + }, + { + "epoch": 1.51, + "learning_rate": 1.995136577351928e-05, + "loss": 0.6773, + "step": 5770 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951332334855574e-05, + "loss": 0.8637, + "step": 5771 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951298884728408e-05, + "loss": 0.6978, + "step": 5772 + }, + { + "epoch": 1.51, + "learning_rate": 1.995126542313783e-05, + "loss": 0.5895, + "step": 5773 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951231950083875e-05, + "loss": 0.7254, + "step": 5774 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951198465566578e-05, + "loss": 0.8085, + "step": 5775 + }, + { + "epoch": 1.51, + "learning_rate": 1.995116496958598e-05, + "loss": 0.6338, + "step": 5776 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951131462142122e-05, + "loss": 0.7313, + "step": 5777 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951097943235044e-05, + "loss": 0.626, + "step": 5778 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951064412864774e-05, + "loss": 0.6006, + "step": 5779 + }, + { + "epoch": 1.51, + "learning_rate": 1.9951030871031364e-05, + "loss": 0.7814, + "step": 5780 + }, + { + "epoch": 1.51, + "learning_rate": 1.9950997317734843e-05, + "loss": 0.6181, + "step": 5781 + }, + { + "epoch": 1.51, + "learning_rate": 1.995096375297526e-05, + "loss": 0.7753, + "step": 5782 + }, + { + "epoch": 1.51, + "learning_rate": 1.995093017675264e-05, + "loss": 0.804, + "step": 5783 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950896589067032e-05, + "loss": 0.7098, + "step": 5784 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950862989918466e-05, + "loss": 0.7113, + "step": 5785 + }, + { + "epoch": 1.52, + "learning_rate": 1.995082937930699e-05, + "loss": 0.7835, + "step": 5786 + }, + { + "epoch": 1.52, + "learning_rate": 1.995079575723264e-05, + "loss": 0.7238, + "step": 5787 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950762123695452e-05, + "loss": 0.7979, + "step": 5788 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950728478695468e-05, + "loss": 0.6533, + "step": 5789 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950694822232723e-05, + "loss": 0.8237, + "step": 5790 + }, + { + "epoch": 1.52, + "learning_rate": 1.995066115430726e-05, + "loss": 0.7721, + "step": 5791 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950627474919114e-05, + "loss": 0.7175, + "step": 5792 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950593784068325e-05, + "loss": 0.5963, + "step": 5793 + }, + { + "epoch": 1.52, + "learning_rate": 1.995056008175493e-05, + "loss": 0.7335, + "step": 5794 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950526367978976e-05, + "loss": 0.7149, + "step": 5795 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950492642740492e-05, + "loss": 0.6409, + "step": 5796 + }, + { + "epoch": 1.52, + "learning_rate": 1.995045890603952e-05, + "loss": 0.6905, + "step": 5797 + }, + { + "epoch": 1.52, + "learning_rate": 1.99504251578761e-05, + "loss": 0.636, + "step": 5798 + }, + { + "epoch": 1.52, + "learning_rate": 1.995039139825027e-05, + "loss": 1.0298, + "step": 5799 + }, + { + "epoch": 1.52, + "learning_rate": 1.995035762716207e-05, + "loss": 0.6096, + "step": 5800 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950323844611538e-05, + "loss": 0.7099, + "step": 5801 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950290050598716e-05, + "loss": 0.7356, + "step": 5802 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950256245123638e-05, + "loss": 0.6676, + "step": 5803 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950222428186343e-05, + "loss": 0.629, + "step": 5804 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950188599786874e-05, + "loss": 0.5657, + "step": 5805 + }, + { + "epoch": 1.52, + "learning_rate": 1.995015475992527e-05, + "loss": 0.7474, + "step": 5806 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950120908601562e-05, + "loss": 0.6393, + "step": 5807 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950087045815797e-05, + "loss": 0.8354, + "step": 5808 + }, + { + "epoch": 1.52, + "learning_rate": 1.9950053171568016e-05, + "loss": 0.5729, + "step": 5809 + }, + { + "epoch": 1.52, + "learning_rate": 1.995001928585825e-05, + "loss": 0.8105, + "step": 5810 + }, + { + "epoch": 1.52, + "learning_rate": 1.9949985388686543e-05, + "loss": 0.7518, + "step": 5811 + }, + { + "epoch": 1.52, + "learning_rate": 1.9949951480052934e-05, + "loss": 0.7758, + "step": 5812 + }, + { + "epoch": 1.52, + "learning_rate": 1.994991755995746e-05, + "loss": 0.7872, + "step": 5813 + }, + { + "epoch": 1.52, + "learning_rate": 1.994988362840016e-05, + "loss": 0.6538, + "step": 5814 + }, + { + "epoch": 1.52, + "learning_rate": 1.9949849685381077e-05, + "loss": 0.5478, + "step": 5815 + }, + { + "epoch": 1.52, + "learning_rate": 1.9949815730900245e-05, + "loss": 0.7635, + "step": 5816 + }, + { + "epoch": 1.52, + "learning_rate": 1.994978176495771e-05, + "loss": 0.6525, + "step": 5817 + }, + { + "epoch": 1.52, + "learning_rate": 1.99497477875535e-05, + "loss": 0.721, + "step": 5818 + }, + { + "epoch": 1.52, + "learning_rate": 1.9949713798687663e-05, + "loss": 0.7664, + "step": 5819 + }, + { + "epoch": 1.52, + "learning_rate": 1.9949679798360234e-05, + "loss": 0.6767, + "step": 5820 + }, + { + "epoch": 1.52, + "learning_rate": 1.994964578657126e-05, + "loss": 0.5869, + "step": 5821 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949611763320772e-05, + "loss": 0.8947, + "step": 5822 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949577728608807e-05, + "loss": 0.6322, + "step": 5823 + }, + { + "epoch": 1.53, + "learning_rate": 1.994954368243541e-05, + "loss": 0.7618, + "step": 5824 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949509624800624e-05, + "loss": 0.5988, + "step": 5825 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949475555704477e-05, + "loss": 0.738, + "step": 5826 + }, + { + "epoch": 1.53, + "learning_rate": 1.994944147514702e-05, + "loss": 0.8301, + "step": 5827 + }, + { + "epoch": 1.53, + "learning_rate": 1.994940738312828e-05, + "loss": 0.7626, + "step": 5828 + }, + { + "epoch": 1.53, + "learning_rate": 1.994937327964831e-05, + "loss": 0.5926, + "step": 5829 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949339164707138e-05, + "loss": 0.5992, + "step": 5830 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949305038304808e-05, + "loss": 0.6361, + "step": 5831 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949270900441356e-05, + "loss": 0.5948, + "step": 5832 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949236751116827e-05, + "loss": 0.5339, + "step": 5833 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949202590331258e-05, + "loss": 0.6145, + "step": 5834 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949168418084686e-05, + "loss": 0.5957, + "step": 5835 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949134234377152e-05, + "loss": 0.6199, + "step": 5836 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949100039208696e-05, + "loss": 0.5795, + "step": 5837 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949065832579356e-05, + "loss": 0.9118, + "step": 5838 + }, + { + "epoch": 1.53, + "learning_rate": 1.9949031614489176e-05, + "loss": 0.7216, + "step": 5839 + }, + { + "epoch": 1.53, + "learning_rate": 1.994899738493819e-05, + "loss": 0.6764, + "step": 5840 + }, + { + "epoch": 1.53, + "learning_rate": 1.994896314392644e-05, + "loss": 0.654, + "step": 5841 + }, + { + "epoch": 1.53, + "learning_rate": 1.9948928891453962e-05, + "loss": 0.6673, + "step": 5842 + }, + { + "epoch": 1.53, + "learning_rate": 1.99488946275208e-05, + "loss": 0.5786, + "step": 5843 + }, + { + "epoch": 1.53, + "learning_rate": 1.9948860352126987e-05, + "loss": 0.5613, + "step": 5844 + }, + { + "epoch": 1.53, + "learning_rate": 1.994882606527257e-05, + "loss": 0.6626, + "step": 5845 + }, + { + "epoch": 1.53, + "learning_rate": 1.9948791766957586e-05, + "loss": 0.5891, + "step": 5846 + }, + { + "epoch": 1.53, + "learning_rate": 1.9948757457182076e-05, + "loss": 0.6544, + "step": 5847 + }, + { + "epoch": 1.53, + "learning_rate": 1.9948723135946078e-05, + "loss": 0.5815, + "step": 5848 + }, + { + "epoch": 1.53, + "learning_rate": 1.9948688803249626e-05, + "loss": 0.6247, + "step": 5849 + }, + { + "epoch": 1.53, + "learning_rate": 1.9948654459092767e-05, + "loss": 0.6815, + "step": 5850 + }, + { + "epoch": 1.53, + "learning_rate": 1.994862010347554e-05, + "loss": 0.6939, + "step": 5851 + }, + { + "epoch": 1.53, + "learning_rate": 1.994858573639798e-05, + "loss": 0.6094, + "step": 5852 + }, + { + "epoch": 1.53, + "learning_rate": 1.994855135786013e-05, + "loss": 0.8442, + "step": 5853 + }, + { + "epoch": 1.53, + "learning_rate": 1.9948516967862032e-05, + "loss": 0.6969, + "step": 5854 + }, + { + "epoch": 1.53, + "learning_rate": 1.994848256640372e-05, + "loss": 0.6387, + "step": 5855 + }, + { + "epoch": 1.53, + "learning_rate": 1.9948448153485235e-05, + "loss": 0.5031, + "step": 5856 + }, + { + "epoch": 1.53, + "learning_rate": 1.994841372910662e-05, + "loss": 0.629, + "step": 5857 + }, + { + "epoch": 1.53, + "learning_rate": 1.994837929326791e-05, + "loss": 0.8612, + "step": 5858 + }, + { + "epoch": 1.53, + "learning_rate": 1.994834484596915e-05, + "loss": 0.8148, + "step": 5859 + }, + { + "epoch": 1.54, + "learning_rate": 1.9948310387210376e-05, + "loss": 0.6538, + "step": 5860 + }, + { + "epoch": 1.54, + "learning_rate": 1.9948275916991626e-05, + "loss": 0.7768, + "step": 5861 + }, + { + "epoch": 1.54, + "learning_rate": 1.9948241435312944e-05, + "loss": 0.5604, + "step": 5862 + }, + { + "epoch": 1.54, + "learning_rate": 1.9948206942174368e-05, + "loss": 0.784, + "step": 5863 + }, + { + "epoch": 1.54, + "learning_rate": 1.994817243757594e-05, + "loss": 0.6067, + "step": 5864 + }, + { + "epoch": 1.54, + "learning_rate": 1.9948137921517695e-05, + "loss": 0.7448, + "step": 5865 + }, + { + "epoch": 1.54, + "learning_rate": 1.9948103393999677e-05, + "loss": 0.5825, + "step": 5866 + }, + { + "epoch": 1.54, + "learning_rate": 1.994806885502192e-05, + "loss": 0.7304, + "step": 5867 + }, + { + "epoch": 1.54, + "learning_rate": 1.9948034304584468e-05, + "loss": 0.6128, + "step": 5868 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947999742687365e-05, + "loss": 0.7925, + "step": 5869 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947965169330645e-05, + "loss": 0.645, + "step": 5870 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947930584514348e-05, + "loss": 0.7764, + "step": 5871 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947895988238515e-05, + "loss": 0.5371, + "step": 5872 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947861380503188e-05, + "loss": 0.7032, + "step": 5873 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947826761308402e-05, + "loss": 0.7333, + "step": 5874 + }, + { + "epoch": 1.54, + "learning_rate": 1.99477921306542e-05, + "loss": 0.7905, + "step": 5875 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947757488540623e-05, + "loss": 0.6822, + "step": 5876 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947722834967707e-05, + "loss": 0.7696, + "step": 5877 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947688169935496e-05, + "loss": 0.7201, + "step": 5878 + }, + { + "epoch": 1.54, + "learning_rate": 1.994765349344403e-05, + "loss": 0.8397, + "step": 5879 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947618805493345e-05, + "loss": 0.7772, + "step": 5880 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947584106083485e-05, + "loss": 0.8203, + "step": 5881 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947549395214486e-05, + "loss": 0.7155, + "step": 5882 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947514672886392e-05, + "loss": 0.5911, + "step": 5883 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947479939099243e-05, + "loss": 0.6779, + "step": 5884 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947445193853073e-05, + "loss": 0.6462, + "step": 5885 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947410437147926e-05, + "loss": 0.8444, + "step": 5886 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947375668983843e-05, + "loss": 0.7018, + "step": 5887 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947340889360865e-05, + "loss": 0.5708, + "step": 5888 + }, + { + "epoch": 1.54, + "learning_rate": 1.994730609827903e-05, + "loss": 0.701, + "step": 5889 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947271295738377e-05, + "loss": 0.7471, + "step": 5890 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947236481738946e-05, + "loss": 0.7233, + "step": 5891 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947201656280782e-05, + "loss": 0.6312, + "step": 5892 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947166819363923e-05, + "loss": 0.7247, + "step": 5893 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947131970988405e-05, + "loss": 0.6902, + "step": 5894 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947097111154273e-05, + "loss": 1.0046, + "step": 5895 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947062239861564e-05, + "loss": 0.795, + "step": 5896 + }, + { + "epoch": 1.54, + "learning_rate": 1.9947027357110318e-05, + "loss": 0.7772, + "step": 5897 + }, + { + "epoch": 1.54, + "learning_rate": 1.9946992462900577e-05, + "loss": 0.7622, + "step": 5898 + }, + { + "epoch": 1.55, + "learning_rate": 1.994695755723238e-05, + "loss": 0.6689, + "step": 5899 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946922640105774e-05, + "loss": 0.6179, + "step": 5900 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946887711520786e-05, + "loss": 0.6819, + "step": 5901 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946852771477465e-05, + "loss": 0.7447, + "step": 5902 + }, + { + "epoch": 1.55, + "learning_rate": 1.994681781997585e-05, + "loss": 0.6967, + "step": 5903 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946782857015984e-05, + "loss": 0.8658, + "step": 5904 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946747882597897e-05, + "loss": 0.7172, + "step": 5905 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946712896721644e-05, + "loss": 0.4458, + "step": 5906 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946677899387255e-05, + "loss": 0.897, + "step": 5907 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946642890594772e-05, + "loss": 0.5719, + "step": 5908 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946607870344238e-05, + "loss": 0.6524, + "step": 5909 + }, + { + "epoch": 1.55, + "learning_rate": 1.994657283863569e-05, + "loss": 0.7385, + "step": 5910 + }, + { + "epoch": 1.55, + "learning_rate": 1.994653779546917e-05, + "loss": 0.7306, + "step": 5911 + }, + { + "epoch": 1.55, + "learning_rate": 1.994650274084472e-05, + "loss": 0.6653, + "step": 5912 + }, + { + "epoch": 1.55, + "learning_rate": 1.994646767476238e-05, + "loss": 0.7121, + "step": 5913 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946432597222186e-05, + "loss": 0.6153, + "step": 5914 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946397508224184e-05, + "loss": 0.6263, + "step": 5915 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946362407768412e-05, + "loss": 0.6178, + "step": 5916 + }, + { + "epoch": 1.55, + "learning_rate": 1.994632729585491e-05, + "loss": 0.7209, + "step": 5917 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946292172483715e-05, + "loss": 0.8575, + "step": 5918 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946257037654878e-05, + "loss": 0.6047, + "step": 5919 + }, + { + "epoch": 1.55, + "learning_rate": 1.994622189136843e-05, + "loss": 0.6993, + "step": 5920 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946186733624415e-05, + "loss": 0.8072, + "step": 5921 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946151564422872e-05, + "loss": 0.6234, + "step": 5922 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946116383763844e-05, + "loss": 0.8263, + "step": 5923 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946081191647367e-05, + "loss": 0.5795, + "step": 5924 + }, + { + "epoch": 1.55, + "learning_rate": 1.9946045988073486e-05, + "loss": 0.8153, + "step": 5925 + }, + { + "epoch": 1.55, + "learning_rate": 1.994601077304224e-05, + "loss": 0.5717, + "step": 5926 + }, + { + "epoch": 1.55, + "learning_rate": 1.9945975546553667e-05, + "loss": 0.6235, + "step": 5927 + }, + { + "epoch": 1.55, + "learning_rate": 1.9945940308607816e-05, + "loss": 0.6943, + "step": 5928 + }, + { + "epoch": 1.55, + "learning_rate": 1.9945905059204718e-05, + "loss": 0.736, + "step": 5929 + }, + { + "epoch": 1.55, + "learning_rate": 1.9945869798344416e-05, + "loss": 0.5002, + "step": 5930 + }, + { + "epoch": 1.55, + "learning_rate": 1.9945834526026953e-05, + "loss": 0.6134, + "step": 5931 + }, + { + "epoch": 1.55, + "learning_rate": 1.9945799242252374e-05, + "loss": 0.5702, + "step": 5932 + }, + { + "epoch": 1.55, + "learning_rate": 1.9945763947020708e-05, + "loss": 0.5233, + "step": 5933 + }, + { + "epoch": 1.55, + "learning_rate": 1.9945728640332006e-05, + "loss": 0.6145, + "step": 5934 + }, + { + "epoch": 1.55, + "learning_rate": 1.99456933221863e-05, + "loss": 0.7737, + "step": 5935 + }, + { + "epoch": 1.55, + "learning_rate": 1.9945657992583637e-05, + "loss": 0.7172, + "step": 5936 + }, + { + "epoch": 1.56, + "learning_rate": 1.9945622651524056e-05, + "loss": 0.7071, + "step": 5937 + }, + { + "epoch": 1.56, + "learning_rate": 1.99455872990076e-05, + "loss": 0.631, + "step": 5938 + }, + { + "epoch": 1.56, + "learning_rate": 1.9945551935034304e-05, + "loss": 0.6986, + "step": 5939 + }, + { + "epoch": 1.56, + "learning_rate": 1.9945516559604213e-05, + "loss": 0.5948, + "step": 5940 + }, + { + "epoch": 1.56, + "learning_rate": 1.994548117271737e-05, + "loss": 0.7501, + "step": 5941 + }, + { + "epoch": 1.56, + "learning_rate": 1.994544577437381e-05, + "loss": 0.587, + "step": 5942 + }, + { + "epoch": 1.56, + "learning_rate": 1.9945410364573576e-05, + "loss": 0.7431, + "step": 5943 + }, + { + "epoch": 1.56, + "learning_rate": 1.994537494331671e-05, + "loss": 0.806, + "step": 5944 + }, + { + "epoch": 1.56, + "learning_rate": 1.994533951060325e-05, + "loss": 0.644, + "step": 5945 + }, + { + "epoch": 1.56, + "learning_rate": 1.9945304066433243e-05, + "loss": 0.7392, + "step": 5946 + }, + { + "epoch": 1.56, + "learning_rate": 1.9945268610806723e-05, + "loss": 0.5797, + "step": 5947 + }, + { + "epoch": 1.56, + "learning_rate": 1.994523314372373e-05, + "loss": 0.6462, + "step": 5948 + }, + { + "epoch": 1.56, + "learning_rate": 1.9945197665184316e-05, + "loss": 0.6399, + "step": 5949 + }, + { + "epoch": 1.56, + "learning_rate": 1.994516217518851e-05, + "loss": 0.6598, + "step": 5950 + }, + { + "epoch": 1.56, + "learning_rate": 1.9945126673736357e-05, + "loss": 0.6488, + "step": 5951 + }, + { + "epoch": 1.56, + "learning_rate": 1.99450911608279e-05, + "loss": 0.7557, + "step": 5952 + }, + { + "epoch": 1.56, + "learning_rate": 1.9945055636463176e-05, + "loss": 0.6677, + "step": 5953 + }, + { + "epoch": 1.56, + "learning_rate": 1.9945020100642226e-05, + "loss": 0.7075, + "step": 5954 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944984553365096e-05, + "loss": 0.6428, + "step": 5955 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944948994631824e-05, + "loss": 0.7035, + "step": 5956 + }, + { + "epoch": 1.56, + "learning_rate": 1.994491342444245e-05, + "loss": 0.8112, + "step": 5957 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944877842797013e-05, + "loss": 0.6925, + "step": 5958 + }, + { + "epoch": 1.56, + "learning_rate": 1.994484224969556e-05, + "loss": 0.758, + "step": 5959 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944806645138127e-05, + "loss": 0.5595, + "step": 5960 + }, + { + "epoch": 1.56, + "learning_rate": 1.994477102912476e-05, + "loss": 0.5581, + "step": 5961 + }, + { + "epoch": 1.56, + "learning_rate": 1.994473540165549e-05, + "loss": 0.6421, + "step": 5962 + }, + { + "epoch": 1.56, + "learning_rate": 1.994469976273037e-05, + "loss": 0.691, + "step": 5963 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944664112349434e-05, + "loss": 0.8506, + "step": 5964 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944628450512727e-05, + "loss": 0.8059, + "step": 5965 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944592777220285e-05, + "loss": 0.7025, + "step": 5966 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944557092472153e-05, + "loss": 0.7927, + "step": 5967 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944521396268372e-05, + "loss": 0.7079, + "step": 5968 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944485688608978e-05, + "loss": 0.5637, + "step": 5969 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944449969494022e-05, + "loss": 0.6588, + "step": 5970 + }, + { + "epoch": 1.56, + "learning_rate": 1.994441423892354e-05, + "loss": 0.6628, + "step": 5971 + }, + { + "epoch": 1.56, + "learning_rate": 1.994437849689757e-05, + "loss": 0.7667, + "step": 5972 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944342743416155e-05, + "loss": 0.7925, + "step": 5973 + }, + { + "epoch": 1.56, + "learning_rate": 1.9944306978479336e-05, + "loss": 0.7901, + "step": 5974 + }, + { + "epoch": 1.57, + "learning_rate": 1.994427120208716e-05, + "loss": 0.6981, + "step": 5975 + }, + { + "epoch": 1.57, + "learning_rate": 1.994423541423966e-05, + "loss": 0.5791, + "step": 5976 + }, + { + "epoch": 1.57, + "learning_rate": 1.9944199614936882e-05, + "loss": 0.7677, + "step": 5977 + }, + { + "epoch": 1.57, + "learning_rate": 1.9944163804178864e-05, + "loss": 0.5845, + "step": 5978 + }, + { + "epoch": 1.57, + "learning_rate": 1.994412798196565e-05, + "loss": 0.6207, + "step": 5979 + }, + { + "epoch": 1.57, + "learning_rate": 1.9944092148297284e-05, + "loss": 0.6915, + "step": 5980 + }, + { + "epoch": 1.57, + "learning_rate": 1.99440563031738e-05, + "loss": 0.5657, + "step": 5981 + }, + { + "epoch": 1.57, + "learning_rate": 1.9944020446595244e-05, + "loss": 0.7025, + "step": 5982 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943984578561654e-05, + "loss": 0.6325, + "step": 5983 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943948699073078e-05, + "loss": 0.6568, + "step": 5984 + }, + { + "epoch": 1.57, + "learning_rate": 1.994391280812955e-05, + "loss": 0.6871, + "step": 5985 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943876905731116e-05, + "loss": 0.5774, + "step": 5986 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943840991877814e-05, + "loss": 0.6899, + "step": 5987 + }, + { + "epoch": 1.57, + "learning_rate": 1.994380506656969e-05, + "loss": 0.7736, + "step": 5988 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943769129806778e-05, + "loss": 0.6155, + "step": 5989 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943733181589126e-05, + "loss": 0.6402, + "step": 5990 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943697221916776e-05, + "loss": 0.7008, + "step": 5991 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943661250789762e-05, + "loss": 0.3961, + "step": 5992 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943625268208133e-05, + "loss": 0.6232, + "step": 5993 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943589274171927e-05, + "loss": 0.7571, + "step": 5994 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943553268681187e-05, + "loss": 0.6336, + "step": 5995 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943517251735952e-05, + "loss": 0.5749, + "step": 5996 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943481223336264e-05, + "loss": 0.6117, + "step": 5997 + }, + { + "epoch": 1.57, + "learning_rate": 1.994344518348217e-05, + "loss": 0.6673, + "step": 5998 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943409132173702e-05, + "loss": 0.6035, + "step": 5999 + }, + { + "epoch": 1.57, + "learning_rate": 1.9943373069410907e-05, + "loss": 0.5988, + "step": 6000 + } + ], + "max_steps": 95425, + "num_train_epochs": 25, + "total_flos": 4.593793318413926e+16, + "trial_name": null, + "trial_params": null +}