diff --git "a/checkpoint-1784/trainer_state.json" "b/checkpoint-1784/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-1784/trainer_state.json" @@ -0,0 +1,12521 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.9977591036414566, + "eval_steps": 500, + "global_step": 1784, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.002240896358543417, + "grad_norm": 0.22982779145240784, + "learning_rate": 1.1235955056179775e-06, + "loss": 1.1973, + "step": 1 + }, + { + "epoch": 0.004481792717086834, + "grad_norm": 0.2098255604505539, + "learning_rate": 2.247191011235955e-06, + "loss": 1.2685, + "step": 2 + }, + { + "epoch": 0.0067226890756302525, + "grad_norm": 0.2404344230890274, + "learning_rate": 3.3707865168539327e-06, + "loss": 1.2292, + "step": 3 + }, + { + "epoch": 0.008963585434173669, + "grad_norm": 0.23824891448020935, + "learning_rate": 4.49438202247191e-06, + "loss": 1.1901, + "step": 4 + }, + { + "epoch": 0.011204481792717087, + "grad_norm": 0.22885526716709137, + "learning_rate": 5.617977528089888e-06, + "loss": 1.2695, + "step": 5 + }, + { + "epoch": 0.013445378151260505, + "grad_norm": 0.2576353847980499, + "learning_rate": 6.741573033707865e-06, + "loss": 1.2872, + "step": 6 + }, + { + "epoch": 0.01568627450980392, + "grad_norm": 0.2190636247396469, + "learning_rate": 7.865168539325843e-06, + "loss": 1.1952, + "step": 7 + }, + { + "epoch": 0.017927170868347338, + "grad_norm": 0.21357473731040955, + "learning_rate": 8.98876404494382e-06, + "loss": 1.2597, + "step": 8 + }, + { + "epoch": 0.020168067226890758, + "grad_norm": 0.24502670764923096, + "learning_rate": 1.0112359550561798e-05, + "loss": 1.279, + "step": 9 + }, + { + "epoch": 0.022408963585434174, + "grad_norm": 0.25532686710357666, + "learning_rate": 1.1235955056179776e-05, + "loss": 1.2163, + "step": 10 + }, + { + "epoch": 0.02464985994397759, + "grad_norm": 0.250683456659317, + "learning_rate": 1.2359550561797752e-05, + "loss": 1.2735, + "step": 11 + }, + { + "epoch": 0.02689075630252101, + "grad_norm": 0.2523595988750458, + "learning_rate": 1.348314606741573e-05, + "loss": 1.3471, + "step": 12 + }, + { + "epoch": 0.029131652661064426, + "grad_norm": 0.23875640332698822, + "learning_rate": 1.4606741573033709e-05, + "loss": 1.2595, + "step": 13 + }, + { + "epoch": 0.03137254901960784, + "grad_norm": 0.24998927116394043, + "learning_rate": 1.5730337078651687e-05, + "loss": 1.2142, + "step": 14 + }, + { + "epoch": 0.03361344537815126, + "grad_norm": 0.2783028483390808, + "learning_rate": 1.6853932584269665e-05, + "loss": 1.185, + "step": 15 + }, + { + "epoch": 0.035854341736694675, + "grad_norm": 0.2796604633331299, + "learning_rate": 1.797752808988764e-05, + "loss": 1.226, + "step": 16 + }, + { + "epoch": 0.0380952380952381, + "grad_norm": 0.2899184823036194, + "learning_rate": 1.9101123595505618e-05, + "loss": 1.1672, + "step": 17 + }, + { + "epoch": 0.040336134453781515, + "grad_norm": 0.2601150572299957, + "learning_rate": 2.0224719101123596e-05, + "loss": 1.1127, + "step": 18 + }, + { + "epoch": 0.04257703081232493, + "grad_norm": 0.3052348792552948, + "learning_rate": 2.1348314606741574e-05, + "loss": 1.2865, + "step": 19 + }, + { + "epoch": 0.04481792717086835, + "grad_norm": 0.24783451855182648, + "learning_rate": 2.2471910112359552e-05, + "loss": 1.0888, + "step": 20 + }, + { + "epoch": 0.047058823529411764, + "grad_norm": 0.24703693389892578, + "learning_rate": 2.359550561797753e-05, + "loss": 1.059, + "step": 21 + }, + { + "epoch": 0.04929971988795518, + "grad_norm": 0.2503679096698761, + "learning_rate": 2.4719101123595505e-05, + "loss": 1.1602, + "step": 22 + }, + { + "epoch": 0.0515406162464986, + "grad_norm": 0.2639842927455902, + "learning_rate": 2.5842696629213486e-05, + "loss": 1.0911, + "step": 23 + }, + { + "epoch": 0.05378151260504202, + "grad_norm": 0.2942507266998291, + "learning_rate": 2.696629213483146e-05, + "loss": 1.0777, + "step": 24 + }, + { + "epoch": 0.056022408963585436, + "grad_norm": 0.28088828921318054, + "learning_rate": 2.8089887640449443e-05, + "loss": 1.1111, + "step": 25 + }, + { + "epoch": 0.05826330532212885, + "grad_norm": 0.26791295409202576, + "learning_rate": 2.9213483146067417e-05, + "loss": 1.0016, + "step": 26 + }, + { + "epoch": 0.06050420168067227, + "grad_norm": 0.2685791850090027, + "learning_rate": 3.0337078651685396e-05, + "loss": 1.1085, + "step": 27 + }, + { + "epoch": 0.06274509803921569, + "grad_norm": 0.2627420127391815, + "learning_rate": 3.1460674157303374e-05, + "loss": 1.0704, + "step": 28 + }, + { + "epoch": 0.06498599439775911, + "grad_norm": 0.3000424802303314, + "learning_rate": 3.258426966292135e-05, + "loss": 1.0786, + "step": 29 + }, + { + "epoch": 0.06722689075630252, + "grad_norm": 0.3018706738948822, + "learning_rate": 3.370786516853933e-05, + "loss": 1.0423, + "step": 30 + }, + { + "epoch": 0.06946778711484594, + "grad_norm": 0.27565667033195496, + "learning_rate": 3.483146067415731e-05, + "loss": 0.9834, + "step": 31 + }, + { + "epoch": 0.07170868347338935, + "grad_norm": 0.30244842171669006, + "learning_rate": 3.595505617977528e-05, + "loss": 1.0927, + "step": 32 + }, + { + "epoch": 0.07394957983193277, + "grad_norm": 0.3654678165912628, + "learning_rate": 3.7078651685393264e-05, + "loss": 0.9812, + "step": 33 + }, + { + "epoch": 0.0761904761904762, + "grad_norm": 0.36483272910118103, + "learning_rate": 3.8202247191011236e-05, + "loss": 0.9693, + "step": 34 + }, + { + "epoch": 0.0784313725490196, + "grad_norm": 0.2949022054672241, + "learning_rate": 3.9325842696629214e-05, + "loss": 0.9647, + "step": 35 + }, + { + "epoch": 0.08067226890756303, + "grad_norm": 0.36239683628082275, + "learning_rate": 4.044943820224719e-05, + "loss": 0.9725, + "step": 36 + }, + { + "epoch": 0.08291316526610644, + "grad_norm": 0.32511067390441895, + "learning_rate": 4.157303370786517e-05, + "loss": 1.0136, + "step": 37 + }, + { + "epoch": 0.08515406162464986, + "grad_norm": 0.32111090421676636, + "learning_rate": 4.269662921348315e-05, + "loss": 0.9207, + "step": 38 + }, + { + "epoch": 0.08739495798319327, + "grad_norm": 0.3080519735813141, + "learning_rate": 4.3820224719101126e-05, + "loss": 0.9729, + "step": 39 + }, + { + "epoch": 0.0896358543417367, + "grad_norm": 0.2933235764503479, + "learning_rate": 4.4943820224719104e-05, + "loss": 0.9403, + "step": 40 + }, + { + "epoch": 0.09187675070028012, + "grad_norm": 0.3132348358631134, + "learning_rate": 4.606741573033708e-05, + "loss": 0.9587, + "step": 41 + }, + { + "epoch": 0.09411764705882353, + "grad_norm": 0.3013119101524353, + "learning_rate": 4.719101123595506e-05, + "loss": 0.9162, + "step": 42 + }, + { + "epoch": 0.09635854341736695, + "grad_norm": 0.300485223531723, + "learning_rate": 4.831460674157304e-05, + "loss": 0.8984, + "step": 43 + }, + { + "epoch": 0.09859943977591036, + "grad_norm": 0.2726304233074188, + "learning_rate": 4.943820224719101e-05, + "loss": 0.987, + "step": 44 + }, + { + "epoch": 0.10084033613445378, + "grad_norm": 0.2733825445175171, + "learning_rate": 5.0561797752808995e-05, + "loss": 0.9438, + "step": 45 + }, + { + "epoch": 0.1030812324929972, + "grad_norm": 0.28922319412231445, + "learning_rate": 5.168539325842697e-05, + "loss": 0.8674, + "step": 46 + }, + { + "epoch": 0.10532212885154062, + "grad_norm": 0.2743085026741028, + "learning_rate": 5.2808988764044944e-05, + "loss": 0.9041, + "step": 47 + }, + { + "epoch": 0.10756302521008404, + "grad_norm": 0.28649550676345825, + "learning_rate": 5.393258426966292e-05, + "loss": 0.9057, + "step": 48 + }, + { + "epoch": 0.10980392156862745, + "grad_norm": 0.2877427339553833, + "learning_rate": 5.50561797752809e-05, + "loss": 0.9139, + "step": 49 + }, + { + "epoch": 0.11204481792717087, + "grad_norm": 0.27738648653030396, + "learning_rate": 5.6179775280898885e-05, + "loss": 0.8518, + "step": 50 + }, + { + "epoch": 0.11428571428571428, + "grad_norm": 0.2839404046535492, + "learning_rate": 5.730337078651685e-05, + "loss": 0.8634, + "step": 51 + }, + { + "epoch": 0.1165266106442577, + "grad_norm": 0.2748688757419586, + "learning_rate": 5.8426966292134835e-05, + "loss": 0.9504, + "step": 52 + }, + { + "epoch": 0.11876750700280111, + "grad_norm": 0.2953556776046753, + "learning_rate": 5.955056179775281e-05, + "loss": 0.861, + "step": 53 + }, + { + "epoch": 0.12100840336134454, + "grad_norm": 0.2947392165660858, + "learning_rate": 6.067415730337079e-05, + "loss": 0.8578, + "step": 54 + }, + { + "epoch": 0.12324929971988796, + "grad_norm": 0.3029733896255493, + "learning_rate": 6.179775280898876e-05, + "loss": 0.895, + "step": 55 + }, + { + "epoch": 0.12549019607843137, + "grad_norm": 0.28483161330223083, + "learning_rate": 6.292134831460675e-05, + "loss": 0.9316, + "step": 56 + }, + { + "epoch": 0.12773109243697478, + "grad_norm": 0.280499666929245, + "learning_rate": 6.404494382022472e-05, + "loss": 0.8763, + "step": 57 + }, + { + "epoch": 0.12997198879551822, + "grad_norm": 0.2687634825706482, + "learning_rate": 6.51685393258427e-05, + "loss": 0.9216, + "step": 58 + }, + { + "epoch": 0.13221288515406163, + "grad_norm": 0.2869422435760498, + "learning_rate": 6.629213483146067e-05, + "loss": 0.8783, + "step": 59 + }, + { + "epoch": 0.13445378151260504, + "grad_norm": 0.29140859842300415, + "learning_rate": 6.741573033707866e-05, + "loss": 0.9613, + "step": 60 + }, + { + "epoch": 0.13669467787114845, + "grad_norm": 0.29342207312583923, + "learning_rate": 6.853932584269663e-05, + "loss": 0.982, + "step": 61 + }, + { + "epoch": 0.13893557422969188, + "grad_norm": 0.29143285751342773, + "learning_rate": 6.966292134831462e-05, + "loss": 0.8857, + "step": 62 + }, + { + "epoch": 0.1411764705882353, + "grad_norm": 0.2944166660308838, + "learning_rate": 7.078651685393259e-05, + "loss": 0.8668, + "step": 63 + }, + { + "epoch": 0.1434173669467787, + "grad_norm": 0.27430447936058044, + "learning_rate": 7.191011235955056e-05, + "loss": 0.9403, + "step": 64 + }, + { + "epoch": 0.14565826330532214, + "grad_norm": 0.274800568819046, + "learning_rate": 7.303370786516854e-05, + "loss": 0.8689, + "step": 65 + }, + { + "epoch": 0.14789915966386555, + "grad_norm": 0.3063383102416992, + "learning_rate": 7.415730337078653e-05, + "loss": 0.9217, + "step": 66 + }, + { + "epoch": 0.15014005602240896, + "grad_norm": 0.26958584785461426, + "learning_rate": 7.52808988764045e-05, + "loss": 0.949, + "step": 67 + }, + { + "epoch": 0.1523809523809524, + "grad_norm": 0.3030094504356384, + "learning_rate": 7.640449438202247e-05, + "loss": 0.8814, + "step": 68 + }, + { + "epoch": 0.1546218487394958, + "grad_norm": 0.26790764927864075, + "learning_rate": 7.752808988764046e-05, + "loss": 0.9814, + "step": 69 + }, + { + "epoch": 0.1568627450980392, + "grad_norm": 0.28143975138664246, + "learning_rate": 7.865168539325843e-05, + "loss": 0.8667, + "step": 70 + }, + { + "epoch": 0.15910364145658262, + "grad_norm": 0.32539746165275574, + "learning_rate": 7.97752808988764e-05, + "loss": 1.0709, + "step": 71 + }, + { + "epoch": 0.16134453781512606, + "grad_norm": 0.28114452958106995, + "learning_rate": 8.089887640449438e-05, + "loss": 0.9253, + "step": 72 + }, + { + "epoch": 0.16358543417366947, + "grad_norm": 0.2680191993713379, + "learning_rate": 8.202247191011237e-05, + "loss": 0.9345, + "step": 73 + }, + { + "epoch": 0.16582633053221288, + "grad_norm": 0.2928783893585205, + "learning_rate": 8.314606741573034e-05, + "loss": 0.906, + "step": 74 + }, + { + "epoch": 0.16806722689075632, + "grad_norm": 0.2979438900947571, + "learning_rate": 8.426966292134831e-05, + "loss": 0.9581, + "step": 75 + }, + { + "epoch": 0.17030812324929973, + "grad_norm": 0.27883946895599365, + "learning_rate": 8.53932584269663e-05, + "loss": 0.9203, + "step": 76 + }, + { + "epoch": 0.17254901960784313, + "grad_norm": 0.3945503234863281, + "learning_rate": 8.651685393258427e-05, + "loss": 0.8136, + "step": 77 + }, + { + "epoch": 0.17478991596638654, + "grad_norm": 0.27328184247016907, + "learning_rate": 8.764044943820225e-05, + "loss": 0.8966, + "step": 78 + }, + { + "epoch": 0.17703081232492998, + "grad_norm": 0.3049486577510834, + "learning_rate": 8.876404494382022e-05, + "loss": 0.9658, + "step": 79 + }, + { + "epoch": 0.1792717086834734, + "grad_norm": 0.3143669366836548, + "learning_rate": 8.988764044943821e-05, + "loss": 0.9867, + "step": 80 + }, + { + "epoch": 0.1815126050420168, + "grad_norm": 0.30048221349716187, + "learning_rate": 9.101123595505618e-05, + "loss": 0.9249, + "step": 81 + }, + { + "epoch": 0.18375350140056024, + "grad_norm": 0.28177568316459656, + "learning_rate": 9.213483146067416e-05, + "loss": 0.9899, + "step": 82 + }, + { + "epoch": 0.18599439775910365, + "grad_norm": 0.296478807926178, + "learning_rate": 9.325842696629214e-05, + "loss": 0.8476, + "step": 83 + }, + { + "epoch": 0.18823529411764706, + "grad_norm": 0.2855791449546814, + "learning_rate": 9.438202247191012e-05, + "loss": 0.8869, + "step": 84 + }, + { + "epoch": 0.19047619047619047, + "grad_norm": 0.2829147279262543, + "learning_rate": 9.550561797752809e-05, + "loss": 0.9274, + "step": 85 + }, + { + "epoch": 0.1927170868347339, + "grad_norm": 0.2549046277999878, + "learning_rate": 9.662921348314608e-05, + "loss": 0.8535, + "step": 86 + }, + { + "epoch": 0.1949579831932773, + "grad_norm": 0.2655014991760254, + "learning_rate": 9.775280898876405e-05, + "loss": 0.8905, + "step": 87 + }, + { + "epoch": 0.19719887955182072, + "grad_norm": 0.27607807517051697, + "learning_rate": 9.887640449438202e-05, + "loss": 0.8788, + "step": 88 + }, + { + "epoch": 0.19943977591036416, + "grad_norm": 0.24970707297325134, + "learning_rate": 0.0001, + "loss": 0.7632, + "step": 89 + }, + { + "epoch": 0.20168067226890757, + "grad_norm": 0.2821432650089264, + "learning_rate": 0.00010112359550561799, + "loss": 0.9314, + "step": 90 + }, + { + "epoch": 0.20392156862745098, + "grad_norm": 0.28368303179740906, + "learning_rate": 0.00010224719101123596, + "loss": 0.8424, + "step": 91 + }, + { + "epoch": 0.2061624649859944, + "grad_norm": 0.3087138235569, + "learning_rate": 0.00010337078651685395, + "loss": 0.9787, + "step": 92 + }, + { + "epoch": 0.20840336134453782, + "grad_norm": 0.2952103614807129, + "learning_rate": 0.00010449438202247193, + "loss": 0.9679, + "step": 93 + }, + { + "epoch": 0.21064425770308123, + "grad_norm": 0.2875281572341919, + "learning_rate": 0.00010561797752808989, + "loss": 0.9181, + "step": 94 + }, + { + "epoch": 0.21288515406162464, + "grad_norm": 0.3084465265274048, + "learning_rate": 0.00010674157303370786, + "loss": 0.9615, + "step": 95 + }, + { + "epoch": 0.21512605042016808, + "grad_norm": 0.28005871176719666, + "learning_rate": 0.00010786516853932584, + "loss": 0.8757, + "step": 96 + }, + { + "epoch": 0.2173669467787115, + "grad_norm": 0.2795560657978058, + "learning_rate": 0.00010898876404494383, + "loss": 0.8266, + "step": 97 + }, + { + "epoch": 0.2196078431372549, + "grad_norm": 0.2671497166156769, + "learning_rate": 0.0001101123595505618, + "loss": 0.8693, + "step": 98 + }, + { + "epoch": 0.2218487394957983, + "grad_norm": 0.24397605657577515, + "learning_rate": 0.00011123595505617979, + "loss": 0.8334, + "step": 99 + }, + { + "epoch": 0.22408963585434175, + "grad_norm": 0.26632094383239746, + "learning_rate": 0.00011235955056179777, + "loss": 0.966, + "step": 100 + }, + { + "epoch": 0.22633053221288515, + "grad_norm": 0.2785671055316925, + "learning_rate": 0.00011348314606741574, + "loss": 0.8823, + "step": 101 + }, + { + "epoch": 0.22857142857142856, + "grad_norm": 0.26920077204704285, + "learning_rate": 0.0001146067415730337, + "loss": 0.9726, + "step": 102 + }, + { + "epoch": 0.230812324929972, + "grad_norm": 0.2633483409881592, + "learning_rate": 0.00011573033707865168, + "loss": 0.8849, + "step": 103 + }, + { + "epoch": 0.2330532212885154, + "grad_norm": 0.26563239097595215, + "learning_rate": 0.00011685393258426967, + "loss": 0.7896, + "step": 104 + }, + { + "epoch": 0.23529411764705882, + "grad_norm": 0.27475470304489136, + "learning_rate": 0.00011797752808988764, + "loss": 0.9659, + "step": 105 + }, + { + "epoch": 0.23753501400560223, + "grad_norm": 0.2691081166267395, + "learning_rate": 0.00011910112359550563, + "loss": 0.9758, + "step": 106 + }, + { + "epoch": 0.23977591036414567, + "grad_norm": 0.2714226543903351, + "learning_rate": 0.00012022471910112361, + "loss": 0.8736, + "step": 107 + }, + { + "epoch": 0.24201680672268908, + "grad_norm": 0.2638857960700989, + "learning_rate": 0.00012134831460674158, + "loss": 0.8792, + "step": 108 + }, + { + "epoch": 0.24425770308123249, + "grad_norm": 0.25696009397506714, + "learning_rate": 0.00012247191011235955, + "loss": 0.8813, + "step": 109 + }, + { + "epoch": 0.24649859943977592, + "grad_norm": 0.27648770809173584, + "learning_rate": 0.00012359550561797752, + "loss": 0.9341, + "step": 110 + }, + { + "epoch": 0.24873949579831933, + "grad_norm": 0.27543121576309204, + "learning_rate": 0.0001247191011235955, + "loss": 0.8102, + "step": 111 + }, + { + "epoch": 0.25098039215686274, + "grad_norm": 0.2804222106933594, + "learning_rate": 0.0001258426966292135, + "loss": 0.9004, + "step": 112 + }, + { + "epoch": 0.25322128851540615, + "grad_norm": 0.27446436882019043, + "learning_rate": 0.00012696629213483147, + "loss": 0.8432, + "step": 113 + }, + { + "epoch": 0.25546218487394956, + "grad_norm": 0.27675163745880127, + "learning_rate": 0.00012808988764044944, + "loss": 0.8868, + "step": 114 + }, + { + "epoch": 0.25770308123249297, + "grad_norm": 0.24772736430168152, + "learning_rate": 0.00012921348314606744, + "loss": 0.8711, + "step": 115 + }, + { + "epoch": 0.25994397759103643, + "grad_norm": 0.2736036479473114, + "learning_rate": 0.0001303370786516854, + "loss": 0.922, + "step": 116 + }, + { + "epoch": 0.26218487394957984, + "grad_norm": 0.23815171420574188, + "learning_rate": 0.00013146067415730338, + "loss": 0.8469, + "step": 117 + }, + { + "epoch": 0.26442577030812325, + "grad_norm": 0.2564987540245056, + "learning_rate": 0.00013258426966292135, + "loss": 0.7626, + "step": 118 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.26105883717536926, + "learning_rate": 0.00013370786516853932, + "loss": 0.7911, + "step": 119 + }, + { + "epoch": 0.2689075630252101, + "grad_norm": 0.2915550768375397, + "learning_rate": 0.00013483146067415732, + "loss": 0.9643, + "step": 120 + }, + { + "epoch": 0.2711484593837535, + "grad_norm": 0.28031301498413086, + "learning_rate": 0.0001359550561797753, + "loss": 0.8797, + "step": 121 + }, + { + "epoch": 0.2733893557422969, + "grad_norm": 0.2468908429145813, + "learning_rate": 0.00013707865168539326, + "loss": 0.8497, + "step": 122 + }, + { + "epoch": 0.27563025210084036, + "grad_norm": 0.2498752921819687, + "learning_rate": 0.00013820224719101123, + "loss": 0.842, + "step": 123 + }, + { + "epoch": 0.27787114845938377, + "grad_norm": 0.2517074942588806, + "learning_rate": 0.00013932584269662923, + "loss": 0.8072, + "step": 124 + }, + { + "epoch": 0.2801120448179272, + "grad_norm": 0.24205273389816284, + "learning_rate": 0.0001404494382022472, + "loss": 0.796, + "step": 125 + }, + { + "epoch": 0.2823529411764706, + "grad_norm": 0.259343683719635, + "learning_rate": 0.00014157303370786517, + "loss": 0.8609, + "step": 126 + }, + { + "epoch": 0.284593837535014, + "grad_norm": 0.2564795911312103, + "learning_rate": 0.00014269662921348315, + "loss": 0.8976, + "step": 127 + }, + { + "epoch": 0.2868347338935574, + "grad_norm": 0.2650969922542572, + "learning_rate": 0.00014382022471910112, + "loss": 0.8239, + "step": 128 + }, + { + "epoch": 0.28907563025210087, + "grad_norm": 0.26443368196487427, + "learning_rate": 0.00014494382022471912, + "loss": 0.8479, + "step": 129 + }, + { + "epoch": 0.2913165266106443, + "grad_norm": 0.26897069811820984, + "learning_rate": 0.0001460674157303371, + "loss": 0.9104, + "step": 130 + }, + { + "epoch": 0.2935574229691877, + "grad_norm": 0.2578631341457367, + "learning_rate": 0.00014719101123595506, + "loss": 0.8151, + "step": 131 + }, + { + "epoch": 0.2957983193277311, + "grad_norm": 0.2454749345779419, + "learning_rate": 0.00014831460674157306, + "loss": 0.7915, + "step": 132 + }, + { + "epoch": 0.2980392156862745, + "grad_norm": 0.25589731335639954, + "learning_rate": 0.00014943820224719103, + "loss": 0.8952, + "step": 133 + }, + { + "epoch": 0.3002801120448179, + "grad_norm": 0.2591662108898163, + "learning_rate": 0.000150561797752809, + "loss": 0.8112, + "step": 134 + }, + { + "epoch": 0.3025210084033613, + "grad_norm": 0.26816102862358093, + "learning_rate": 0.00015168539325842697, + "loss": 0.8893, + "step": 135 + }, + { + "epoch": 0.3047619047619048, + "grad_norm": 0.24405767023563385, + "learning_rate": 0.00015280898876404494, + "loss": 0.877, + "step": 136 + }, + { + "epoch": 0.3070028011204482, + "grad_norm": 0.2588540315628052, + "learning_rate": 0.00015393258426966294, + "loss": 0.7779, + "step": 137 + }, + { + "epoch": 0.3092436974789916, + "grad_norm": 0.27598896622657776, + "learning_rate": 0.0001550561797752809, + "loss": 0.7752, + "step": 138 + }, + { + "epoch": 0.311484593837535, + "grad_norm": 0.24622836709022522, + "learning_rate": 0.00015617977528089888, + "loss": 0.8849, + "step": 139 + }, + { + "epoch": 0.3137254901960784, + "grad_norm": 0.2502545118331909, + "learning_rate": 0.00015730337078651685, + "loss": 0.8012, + "step": 140 + }, + { + "epoch": 0.31596638655462184, + "grad_norm": 0.25384724140167236, + "learning_rate": 0.00015842696629213485, + "loss": 0.8395, + "step": 141 + }, + { + "epoch": 0.31820728291316525, + "grad_norm": 0.2527698874473572, + "learning_rate": 0.0001595505617977528, + "loss": 0.831, + "step": 142 + }, + { + "epoch": 0.3204481792717087, + "grad_norm": 0.24567513167858124, + "learning_rate": 0.0001606741573033708, + "loss": 0.7959, + "step": 143 + }, + { + "epoch": 0.3226890756302521, + "grad_norm": 0.24283619225025177, + "learning_rate": 0.00016179775280898877, + "loss": 0.8146, + "step": 144 + }, + { + "epoch": 0.32492997198879553, + "grad_norm": 0.2708129286766052, + "learning_rate": 0.00016292134831460674, + "loss": 0.905, + "step": 145 + }, + { + "epoch": 0.32717086834733894, + "grad_norm": 0.27091729640960693, + "learning_rate": 0.00016404494382022474, + "loss": 0.8681, + "step": 146 + }, + { + "epoch": 0.32941176470588235, + "grad_norm": 0.2502163350582123, + "learning_rate": 0.0001651685393258427, + "loss": 0.8859, + "step": 147 + }, + { + "epoch": 0.33165266106442576, + "grad_norm": 0.23066553473472595, + "learning_rate": 0.00016629213483146068, + "loss": 0.9034, + "step": 148 + }, + { + "epoch": 0.33389355742296917, + "grad_norm": 0.2503213882446289, + "learning_rate": 0.00016741573033707868, + "loss": 0.8348, + "step": 149 + }, + { + "epoch": 0.33613445378151263, + "grad_norm": 0.25126519799232483, + "learning_rate": 0.00016853932584269662, + "loss": 0.8553, + "step": 150 + }, + { + "epoch": 0.33837535014005604, + "grad_norm": 0.241397425532341, + "learning_rate": 0.00016966292134831462, + "loss": 0.9132, + "step": 151 + }, + { + "epoch": 0.34061624649859945, + "grad_norm": 0.25682827830314636, + "learning_rate": 0.0001707865168539326, + "loss": 0.9481, + "step": 152 + }, + { + "epoch": 0.34285714285714286, + "grad_norm": 0.24024637043476105, + "learning_rate": 0.00017191011235955056, + "loss": 0.943, + "step": 153 + }, + { + "epoch": 0.34509803921568627, + "grad_norm": 0.2626055181026459, + "learning_rate": 0.00017303370786516853, + "loss": 0.7863, + "step": 154 + }, + { + "epoch": 0.3473389355742297, + "grad_norm": 0.24571183323860168, + "learning_rate": 0.00017415730337078653, + "loss": 0.926, + "step": 155 + }, + { + "epoch": 0.3495798319327731, + "grad_norm": 0.2499912977218628, + "learning_rate": 0.0001752808988764045, + "loss": 0.8232, + "step": 156 + }, + { + "epoch": 0.35182072829131655, + "grad_norm": 0.25473934412002563, + "learning_rate": 0.00017640449438202248, + "loss": 0.9021, + "step": 157 + }, + { + "epoch": 0.35406162464985996, + "grad_norm": 0.25837019085884094, + "learning_rate": 0.00017752808988764045, + "loss": 0.7753, + "step": 158 + }, + { + "epoch": 0.3563025210084034, + "grad_norm": 0.255958616733551, + "learning_rate": 0.00017865168539325842, + "loss": 0.9155, + "step": 159 + }, + { + "epoch": 0.3585434173669468, + "grad_norm": 0.24315786361694336, + "learning_rate": 0.00017977528089887642, + "loss": 0.8039, + "step": 160 + }, + { + "epoch": 0.3607843137254902, + "grad_norm": 0.24614644050598145, + "learning_rate": 0.0001808988764044944, + "loss": 0.8857, + "step": 161 + }, + { + "epoch": 0.3630252100840336, + "grad_norm": 0.24280671775341034, + "learning_rate": 0.00018202247191011236, + "loss": 0.8354, + "step": 162 + }, + { + "epoch": 0.365266106442577, + "grad_norm": 0.2597411572933197, + "learning_rate": 0.00018314606741573036, + "loss": 0.8852, + "step": 163 + }, + { + "epoch": 0.3675070028011205, + "grad_norm": 0.2597702145576477, + "learning_rate": 0.00018426966292134833, + "loss": 0.9029, + "step": 164 + }, + { + "epoch": 0.3697478991596639, + "grad_norm": 0.23551709949970245, + "learning_rate": 0.0001853932584269663, + "loss": 0.9118, + "step": 165 + }, + { + "epoch": 0.3719887955182073, + "grad_norm": 0.2516990303993225, + "learning_rate": 0.00018651685393258427, + "loss": 0.7997, + "step": 166 + }, + { + "epoch": 0.3742296918767507, + "grad_norm": 0.2297232747077942, + "learning_rate": 0.00018764044943820224, + "loss": 0.7823, + "step": 167 + }, + { + "epoch": 0.3764705882352941, + "grad_norm": 0.22287945449352264, + "learning_rate": 0.00018876404494382024, + "loss": 0.8609, + "step": 168 + }, + { + "epoch": 0.3787114845938375, + "grad_norm": 0.2428523749113083, + "learning_rate": 0.0001898876404494382, + "loss": 0.8842, + "step": 169 + }, + { + "epoch": 0.38095238095238093, + "grad_norm": 0.25949063897132874, + "learning_rate": 0.00019101123595505618, + "loss": 0.7737, + "step": 170 + }, + { + "epoch": 0.3831932773109244, + "grad_norm": 0.2532324492931366, + "learning_rate": 0.00019213483146067416, + "loss": 0.7548, + "step": 171 + }, + { + "epoch": 0.3854341736694678, + "grad_norm": 0.2657643258571625, + "learning_rate": 0.00019325842696629215, + "loss": 0.8375, + "step": 172 + }, + { + "epoch": 0.3876750700280112, + "grad_norm": 0.2578238546848297, + "learning_rate": 0.00019438202247191013, + "loss": 0.8591, + "step": 173 + }, + { + "epoch": 0.3899159663865546, + "grad_norm": 0.24303969740867615, + "learning_rate": 0.0001955056179775281, + "loss": 0.8131, + "step": 174 + }, + { + "epoch": 0.39215686274509803, + "grad_norm": 0.271139919757843, + "learning_rate": 0.00019662921348314607, + "loss": 0.8234, + "step": 175 + }, + { + "epoch": 0.39439775910364144, + "grad_norm": 0.2569217085838318, + "learning_rate": 0.00019775280898876404, + "loss": 0.8907, + "step": 176 + }, + { + "epoch": 0.39663865546218485, + "grad_norm": 0.23687879741191864, + "learning_rate": 0.00019887640449438204, + "loss": 0.8082, + "step": 177 + }, + { + "epoch": 0.3988795518207283, + "grad_norm": 0.24828100204467773, + "learning_rate": 0.0002, + "loss": 0.8575, + "step": 178 + }, + { + "epoch": 0.4011204481792717, + "grad_norm": 0.24300478398799896, + "learning_rate": 0.00019999980867200105, + "loss": 0.7963, + "step": 179 + }, + { + "epoch": 0.40336134453781514, + "grad_norm": 0.2662373483181, + "learning_rate": 0.00019999923468873635, + "loss": 0.8871, + "step": 180 + }, + { + "epoch": 0.40560224089635855, + "grad_norm": 0.2600310146808624, + "learning_rate": 0.00019999827805240226, + "loss": 0.8477, + "step": 181 + }, + { + "epoch": 0.40784313725490196, + "grad_norm": 0.26801761984825134, + "learning_rate": 0.00019999693876665938, + "loss": 0.8978, + "step": 182 + }, + { + "epoch": 0.41008403361344536, + "grad_norm": 0.26510775089263916, + "learning_rate": 0.00019999521683663262, + "loss": 0.8387, + "step": 183 + }, + { + "epoch": 0.4123249299719888, + "grad_norm": 0.25927454233169556, + "learning_rate": 0.00019999311226891103, + "loss": 0.884, + "step": 184 + }, + { + "epoch": 0.41456582633053224, + "grad_norm": 0.2489653080701828, + "learning_rate": 0.00019999062507154784, + "loss": 0.9473, + "step": 185 + }, + { + "epoch": 0.41680672268907565, + "grad_norm": 0.2461009919643402, + "learning_rate": 0.0001999877552540605, + "loss": 0.8609, + "step": 186 + }, + { + "epoch": 0.41904761904761906, + "grad_norm": 0.24591152369976044, + "learning_rate": 0.00019998450282743052, + "loss": 0.9284, + "step": 187 + }, + { + "epoch": 0.42128851540616247, + "grad_norm": 0.23085853457450867, + "learning_rate": 0.00019998086780410353, + "loss": 0.8898, + "step": 188 + }, + { + "epoch": 0.4235294117647059, + "grad_norm": 0.2512655556201935, + "learning_rate": 0.00019997685019798912, + "loss": 0.8275, + "step": 189 + }, + { + "epoch": 0.4257703081232493, + "grad_norm": 0.24720723927021027, + "learning_rate": 0.0001999724500244609, + "loss": 0.8809, + "step": 190 + }, + { + "epoch": 0.4280112044817927, + "grad_norm": 0.25972652435302734, + "learning_rate": 0.00019996766730035642, + "loss": 0.891, + "step": 191 + }, + { + "epoch": 0.43025210084033616, + "grad_norm": 0.26756009459495544, + "learning_rate": 0.0001999625020439771, + "loss": 0.923, + "step": 192 + }, + { + "epoch": 0.43249299719887957, + "grad_norm": 0.24553890526294708, + "learning_rate": 0.000199956954275088, + "loss": 0.8222, + "step": 193 + }, + { + "epoch": 0.434733893557423, + "grad_norm": 0.24937503039836884, + "learning_rate": 0.0001999510240149181, + "loss": 0.788, + "step": 194 + }, + { + "epoch": 0.4369747899159664, + "grad_norm": 0.2749722898006439, + "learning_rate": 0.00019994471128615985, + "loss": 0.9383, + "step": 195 + }, + { + "epoch": 0.4392156862745098, + "grad_norm": 0.25508439540863037, + "learning_rate": 0.00019993801611296923, + "loss": 0.8234, + "step": 196 + }, + { + "epoch": 0.4414565826330532, + "grad_norm": 0.26953256130218506, + "learning_rate": 0.00019993093852096582, + "loss": 0.9895, + "step": 197 + }, + { + "epoch": 0.4436974789915966, + "grad_norm": 0.26215213537216187, + "learning_rate": 0.0001999234785372324, + "loss": 0.8432, + "step": 198 + }, + { + "epoch": 0.4459383753501401, + "grad_norm": 0.24869990348815918, + "learning_rate": 0.00019991563619031508, + "loss": 0.8786, + "step": 199 + }, + { + "epoch": 0.4481792717086835, + "grad_norm": 0.23765677213668823, + "learning_rate": 0.00019990741151022301, + "loss": 0.9402, + "step": 200 + }, + { + "epoch": 0.4504201680672269, + "grad_norm": 0.24099862575531006, + "learning_rate": 0.00019989880452842847, + "loss": 0.9192, + "step": 201 + }, + { + "epoch": 0.4526610644257703, + "grad_norm": 0.2570018172264099, + "learning_rate": 0.00019988981527786654, + "loss": 0.846, + "step": 202 + }, + { + "epoch": 0.4549019607843137, + "grad_norm": 0.2420913279056549, + "learning_rate": 0.00019988044379293523, + "loss": 0.9021, + "step": 203 + }, + { + "epoch": 0.45714285714285713, + "grad_norm": 0.25546249747276306, + "learning_rate": 0.00019987069010949496, + "loss": 0.9191, + "step": 204 + }, + { + "epoch": 0.45938375350140054, + "grad_norm": 0.25439539551734924, + "learning_rate": 0.00019986055426486887, + "loss": 0.9046, + "step": 205 + }, + { + "epoch": 0.461624649859944, + "grad_norm": 0.23050928115844727, + "learning_rate": 0.00019985003629784237, + "loss": 0.7777, + "step": 206 + }, + { + "epoch": 0.4638655462184874, + "grad_norm": 0.25798794627189636, + "learning_rate": 0.00019983913624866304, + "loss": 0.9232, + "step": 207 + }, + { + "epoch": 0.4661064425770308, + "grad_norm": 0.2508363127708435, + "learning_rate": 0.00019982785415904064, + "loss": 0.9924, + "step": 208 + }, + { + "epoch": 0.46834733893557423, + "grad_norm": 0.25454050302505493, + "learning_rate": 0.00019981619007214673, + "loss": 0.9056, + "step": 209 + }, + { + "epoch": 0.47058823529411764, + "grad_norm": 0.24120093882083893, + "learning_rate": 0.0001998041440326146, + "loss": 0.8339, + "step": 210 + }, + { + "epoch": 0.47282913165266105, + "grad_norm": 0.2521376609802246, + "learning_rate": 0.00019979171608653924, + "loss": 0.7907, + "step": 211 + }, + { + "epoch": 0.47507002801120446, + "grad_norm": 0.2513487637042999, + "learning_rate": 0.00019977890628147682, + "loss": 0.9142, + "step": 212 + }, + { + "epoch": 0.4773109243697479, + "grad_norm": 0.2808438241481781, + "learning_rate": 0.00019976571466644492, + "loss": 0.8708, + "step": 213 + }, + { + "epoch": 0.47955182072829133, + "grad_norm": 0.2564331293106079, + "learning_rate": 0.00019975214129192196, + "loss": 0.8726, + "step": 214 + }, + { + "epoch": 0.48179271708683474, + "grad_norm": 0.2591661214828491, + "learning_rate": 0.00019973818620984738, + "loss": 0.791, + "step": 215 + }, + { + "epoch": 0.48403361344537815, + "grad_norm": 0.2555089592933655, + "learning_rate": 0.00019972384947362101, + "loss": 0.9129, + "step": 216 + }, + { + "epoch": 0.48627450980392156, + "grad_norm": 0.2542738616466522, + "learning_rate": 0.00019970913113810334, + "loss": 0.8097, + "step": 217 + }, + { + "epoch": 0.48851540616246497, + "grad_norm": 0.26333680748939514, + "learning_rate": 0.0001996940312596149, + "loss": 0.8342, + "step": 218 + }, + { + "epoch": 0.4907563025210084, + "grad_norm": 0.24918504059314728, + "learning_rate": 0.00019967854989593633, + "loss": 0.8441, + "step": 219 + }, + { + "epoch": 0.49299719887955185, + "grad_norm": 0.26157376170158386, + "learning_rate": 0.00019966268710630797, + "loss": 0.8891, + "step": 220 + }, + { + "epoch": 0.49523809523809526, + "grad_norm": 0.277658611536026, + "learning_rate": 0.00019964644295142968, + "loss": 0.8862, + "step": 221 + }, + { + "epoch": 0.49747899159663866, + "grad_norm": 0.2798251211643219, + "learning_rate": 0.00019962981749346078, + "loss": 0.8742, + "step": 222 + }, + { + "epoch": 0.4997198879551821, + "grad_norm": 0.28391703963279724, + "learning_rate": 0.00019961281079601957, + "loss": 0.8928, + "step": 223 + }, + { + "epoch": 0.5019607843137255, + "grad_norm": 0.2569884955883026, + "learning_rate": 0.00019959542292418317, + "loss": 0.8289, + "step": 224 + }, + { + "epoch": 0.5042016806722689, + "grad_norm": 0.2689199447631836, + "learning_rate": 0.00019957765394448728, + "loss": 0.8002, + "step": 225 + }, + { + "epoch": 0.5064425770308123, + "grad_norm": 0.2564886510372162, + "learning_rate": 0.00019955950392492604, + "loss": 0.8817, + "step": 226 + }, + { + "epoch": 0.5086834733893557, + "grad_norm": 0.2417922168970108, + "learning_rate": 0.00019954097293495155, + "loss": 0.8838, + "step": 227 + }, + { + "epoch": 0.5109243697478991, + "grad_norm": 0.22530929744243622, + "learning_rate": 0.00019952206104547376, + "loss": 0.7967, + "step": 228 + }, + { + "epoch": 0.5131652661064425, + "grad_norm": 0.23360571265220642, + "learning_rate": 0.00019950276832886017, + "loss": 0.8364, + "step": 229 + }, + { + "epoch": 0.5154061624649859, + "grad_norm": 0.2611772418022156, + "learning_rate": 0.00019948309485893549, + "loss": 0.8786, + "step": 230 + }, + { + "epoch": 0.5176470588235295, + "grad_norm": 0.24788020551204681, + "learning_rate": 0.00019946304071098142, + "loss": 0.86, + "step": 231 + }, + { + "epoch": 0.5198879551820729, + "grad_norm": 0.23259863257408142, + "learning_rate": 0.00019944260596173641, + "loss": 0.822, + "step": 232 + }, + { + "epoch": 0.5221288515406163, + "grad_norm": 0.2678159773349762, + "learning_rate": 0.0001994217906893952, + "loss": 0.8522, + "step": 233 + }, + { + "epoch": 0.5243697478991597, + "grad_norm": 0.268537312746048, + "learning_rate": 0.00019940059497360873, + "loss": 0.8638, + "step": 234 + }, + { + "epoch": 0.5266106442577031, + "grad_norm": 0.26122671365737915, + "learning_rate": 0.0001993790188954836, + "loss": 0.8509, + "step": 235 + }, + { + "epoch": 0.5288515406162465, + "grad_norm": 0.38401761651039124, + "learning_rate": 0.00019935706253758207, + "loss": 0.8184, + "step": 236 + }, + { + "epoch": 0.5310924369747899, + "grad_norm": 0.2459888607263565, + "learning_rate": 0.00019933472598392138, + "loss": 0.8042, + "step": 237 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.27041634917259216, + "learning_rate": 0.0001993120093199737, + "loss": 0.9426, + "step": 238 + }, + { + "epoch": 0.5355742296918767, + "grad_norm": 0.2503630220890045, + "learning_rate": 0.00019928891263266578, + "loss": 0.901, + "step": 239 + }, + { + "epoch": 0.5378151260504201, + "grad_norm": 0.2358655333518982, + "learning_rate": 0.00019926543601037842, + "loss": 0.8165, + "step": 240 + }, + { + "epoch": 0.5400560224089636, + "grad_norm": 0.24630171060562134, + "learning_rate": 0.00019924157954294628, + "loss": 0.8083, + "step": 241 + }, + { + "epoch": 0.542296918767507, + "grad_norm": 0.2504923939704895, + "learning_rate": 0.00019921734332165766, + "loss": 0.7973, + "step": 242 + }, + { + "epoch": 0.5445378151260504, + "grad_norm": 0.2728249132633209, + "learning_rate": 0.00019919272743925385, + "loss": 0.8817, + "step": 243 + }, + { + "epoch": 0.5467787114845938, + "grad_norm": 0.2694825828075409, + "learning_rate": 0.000199167731989929, + "loss": 0.8458, + "step": 244 + }, + { + "epoch": 0.5490196078431373, + "grad_norm": 0.31109780073165894, + "learning_rate": 0.00019914235706932972, + "loss": 0.939, + "step": 245 + }, + { + "epoch": 0.5512605042016807, + "grad_norm": 0.25847890973091125, + "learning_rate": 0.0001991166027745547, + "loss": 0.8704, + "step": 246 + }, + { + "epoch": 0.5535014005602241, + "grad_norm": 0.2678435742855072, + "learning_rate": 0.00019909046920415423, + "loss": 0.7445, + "step": 247 + }, + { + "epoch": 0.5557422969187675, + "grad_norm": 0.25951921939849854, + "learning_rate": 0.00019906395645812998, + "loss": 0.8869, + "step": 248 + }, + { + "epoch": 0.5579831932773109, + "grad_norm": 0.25794005393981934, + "learning_rate": 0.00019903706463793462, + "loss": 0.9506, + "step": 249 + }, + { + "epoch": 0.5602240896358543, + "grad_norm": 0.2340375930070877, + "learning_rate": 0.00019900979384647127, + "loss": 0.811, + "step": 250 + }, + { + "epoch": 0.5624649859943978, + "grad_norm": 0.25867462158203125, + "learning_rate": 0.0001989821441880933, + "loss": 0.8621, + "step": 251 + }, + { + "epoch": 0.5647058823529412, + "grad_norm": 0.2387334555387497, + "learning_rate": 0.0001989541157686037, + "loss": 0.8514, + "step": 252 + }, + { + "epoch": 0.5669467787114846, + "grad_norm": 0.26006007194519043, + "learning_rate": 0.00019892570869525496, + "loss": 0.8946, + "step": 253 + }, + { + "epoch": 0.569187675070028, + "grad_norm": 0.2735587954521179, + "learning_rate": 0.00019889692307674845, + "loss": 0.8605, + "step": 254 + }, + { + "epoch": 0.5714285714285714, + "grad_norm": 0.28292015194892883, + "learning_rate": 0.00019886775902323405, + "loss": 1.0231, + "step": 255 + }, + { + "epoch": 0.5736694677871148, + "grad_norm": 0.2500753402709961, + "learning_rate": 0.00019883821664630976, + "loss": 0.9155, + "step": 256 + }, + { + "epoch": 0.5759103641456582, + "grad_norm": 0.23072321712970734, + "learning_rate": 0.00019880829605902126, + "loss": 0.8268, + "step": 257 + }, + { + "epoch": 0.5781512605042017, + "grad_norm": 0.25353720784187317, + "learning_rate": 0.0001987779973758615, + "loss": 0.9315, + "step": 258 + }, + { + "epoch": 0.5803921568627451, + "grad_norm": 0.24684756994247437, + "learning_rate": 0.00019874732071277013, + "loss": 0.8652, + "step": 259 + }, + { + "epoch": 0.5826330532212886, + "grad_norm": 0.2583218812942505, + "learning_rate": 0.0001987162661871333, + "loss": 0.7722, + "step": 260 + }, + { + "epoch": 0.584873949579832, + "grad_norm": 0.23789426684379578, + "learning_rate": 0.00019868483391778302, + "loss": 0.9084, + "step": 261 + }, + { + "epoch": 0.5871148459383754, + "grad_norm": 0.24503661692142487, + "learning_rate": 0.00019865302402499678, + "loss": 0.8683, + "step": 262 + }, + { + "epoch": 0.5893557422969188, + "grad_norm": 0.2724620997905731, + "learning_rate": 0.00019862083663049694, + "loss": 0.8323, + "step": 263 + }, + { + "epoch": 0.5915966386554622, + "grad_norm": 0.27704504132270813, + "learning_rate": 0.0001985882718574506, + "loss": 0.9132, + "step": 264 + }, + { + "epoch": 0.5938375350140056, + "grad_norm": 0.2760598063468933, + "learning_rate": 0.00019855532983046876, + "loss": 0.7416, + "step": 265 + }, + { + "epoch": 0.596078431372549, + "grad_norm": 0.26945289969444275, + "learning_rate": 0.00019852201067560606, + "loss": 0.965, + "step": 266 + }, + { + "epoch": 0.5983193277310924, + "grad_norm": 0.2512185573577881, + "learning_rate": 0.0001984883145203603, + "loss": 0.8582, + "step": 267 + }, + { + "epoch": 0.6005602240896358, + "grad_norm": 0.24201013147830963, + "learning_rate": 0.00019845424149367177, + "loss": 0.8433, + "step": 268 + }, + { + "epoch": 0.6028011204481792, + "grad_norm": 0.24099834263324738, + "learning_rate": 0.000198419791725923, + "loss": 0.9501, + "step": 269 + }, + { + "epoch": 0.6050420168067226, + "grad_norm": 0.24521470069885254, + "learning_rate": 0.00019838496534893806, + "loss": 0.8458, + "step": 270 + }, + { + "epoch": 0.6072829131652661, + "grad_norm": 0.2377120554447174, + "learning_rate": 0.00019834976249598221, + "loss": 0.8934, + "step": 271 + }, + { + "epoch": 0.6095238095238096, + "grad_norm": 0.2444024235010147, + "learning_rate": 0.00019831418330176125, + "loss": 0.8326, + "step": 272 + }, + { + "epoch": 0.611764705882353, + "grad_norm": 0.23458163440227509, + "learning_rate": 0.0001982782279024211, + "loss": 0.8743, + "step": 273 + }, + { + "epoch": 0.6140056022408964, + "grad_norm": 0.2571447491645813, + "learning_rate": 0.00019824189643554725, + "loss": 0.8265, + "step": 274 + }, + { + "epoch": 0.6162464985994398, + "grad_norm": 0.25711604952812195, + "learning_rate": 0.00019820518904016426, + "loss": 0.8418, + "step": 275 + }, + { + "epoch": 0.6184873949579832, + "grad_norm": 0.26878827810287476, + "learning_rate": 0.00019816810585673514, + "loss": 0.8007, + "step": 276 + }, + { + "epoch": 0.6207282913165266, + "grad_norm": 0.2555851638317108, + "learning_rate": 0.00019813064702716094, + "loss": 0.8536, + "step": 277 + }, + { + "epoch": 0.62296918767507, + "grad_norm": 0.2718588411808014, + "learning_rate": 0.00019809281269478012, + "loss": 0.8884, + "step": 278 + }, + { + "epoch": 0.6252100840336134, + "grad_norm": 0.25706928968429565, + "learning_rate": 0.00019805460300436803, + "loss": 0.8729, + "step": 279 + }, + { + "epoch": 0.6274509803921569, + "grad_norm": 0.23707084357738495, + "learning_rate": 0.00019801601810213635, + "loss": 0.8268, + "step": 280 + }, + { + "epoch": 0.6296918767507003, + "grad_norm": 0.24094390869140625, + "learning_rate": 0.00019797705813573245, + "loss": 0.8457, + "step": 281 + }, + { + "epoch": 0.6319327731092437, + "grad_norm": 0.24794656038284302, + "learning_rate": 0.00019793772325423908, + "loss": 0.8495, + "step": 282 + }, + { + "epoch": 0.6341736694677871, + "grad_norm": 0.2355436086654663, + "learning_rate": 0.00019789801360817346, + "loss": 0.8167, + "step": 283 + }, + { + "epoch": 0.6364145658263305, + "grad_norm": 0.24097253382205963, + "learning_rate": 0.00019785792934948695, + "loss": 0.8887, + "step": 284 + }, + { + "epoch": 0.6386554621848739, + "grad_norm": 0.23715715110301971, + "learning_rate": 0.00019781747063156435, + "loss": 0.8205, + "step": 285 + }, + { + "epoch": 0.6408963585434174, + "grad_norm": 0.2627374529838562, + "learning_rate": 0.00019777663760922343, + "loss": 0.9175, + "step": 286 + }, + { + "epoch": 0.6431372549019608, + "grad_norm": 0.25734400749206543, + "learning_rate": 0.00019773543043871412, + "loss": 0.8104, + "step": 287 + }, + { + "epoch": 0.6453781512605042, + "grad_norm": 0.2477787584066391, + "learning_rate": 0.0001976938492777182, + "loss": 0.9969, + "step": 288 + }, + { + "epoch": 0.6476190476190476, + "grad_norm": 0.2440386414527893, + "learning_rate": 0.0001976518942853484, + "loss": 0.8084, + "step": 289 + }, + { + "epoch": 0.6498599439775911, + "grad_norm": 0.2703987956047058, + "learning_rate": 0.00019760956562214806, + "loss": 0.7827, + "step": 290 + }, + { + "epoch": 0.6521008403361345, + "grad_norm": 0.29450032114982605, + "learning_rate": 0.0001975668634500904, + "loss": 0.8807, + "step": 291 + }, + { + "epoch": 0.6543417366946779, + "grad_norm": 0.27439677715301514, + "learning_rate": 0.00019752378793257776, + "loss": 0.8152, + "step": 292 + }, + { + "epoch": 0.6565826330532213, + "grad_norm": 0.2940295338630676, + "learning_rate": 0.00019748033923444122, + "loss": 0.9051, + "step": 293 + }, + { + "epoch": 0.6588235294117647, + "grad_norm": 0.2529405355453491, + "learning_rate": 0.00019743651752193982, + "loss": 0.7429, + "step": 294 + }, + { + "epoch": 0.6610644257703081, + "grad_norm": 0.26964515447616577, + "learning_rate": 0.00019739232296276003, + "loss": 0.8584, + "step": 295 + }, + { + "epoch": 0.6633053221288515, + "grad_norm": 0.24733929336071014, + "learning_rate": 0.00019734775572601487, + "loss": 0.8465, + "step": 296 + }, + { + "epoch": 0.6655462184873949, + "grad_norm": 0.2559841275215149, + "learning_rate": 0.00019730281598224364, + "loss": 0.883, + "step": 297 + }, + { + "epoch": 0.6677871148459383, + "grad_norm": 0.24375739693641663, + "learning_rate": 0.00019725750390341094, + "loss": 0.8042, + "step": 298 + }, + { + "epoch": 0.6700280112044817, + "grad_norm": 0.25603991746902466, + "learning_rate": 0.00019721181966290613, + "loss": 0.9363, + "step": 299 + }, + { + "epoch": 0.6722689075630253, + "grad_norm": 0.2391873151063919, + "learning_rate": 0.00019716576343554274, + "loss": 0.9364, + "step": 300 + }, + { + "epoch": 0.6745098039215687, + "grad_norm": 0.24241115152835846, + "learning_rate": 0.00019711933539755765, + "loss": 0.8168, + "step": 301 + }, + { + "epoch": 0.6767507002801121, + "grad_norm": 0.2441554218530655, + "learning_rate": 0.00019707253572661055, + "loss": 0.9179, + "step": 302 + }, + { + "epoch": 0.6789915966386555, + "grad_norm": 0.2645583748817444, + "learning_rate": 0.00019702536460178318, + "loss": 0.7971, + "step": 303 + }, + { + "epoch": 0.6812324929971989, + "grad_norm": 0.2557383179664612, + "learning_rate": 0.0001969778222035787, + "loss": 0.9112, + "step": 304 + }, + { + "epoch": 0.6834733893557423, + "grad_norm": 0.25000718235969543, + "learning_rate": 0.0001969299087139209, + "loss": 0.7842, + "step": 305 + }, + { + "epoch": 0.6857142857142857, + "grad_norm": 0.23475897312164307, + "learning_rate": 0.00019688162431615367, + "loss": 0.7806, + "step": 306 + }, + { + "epoch": 0.6879551820728291, + "grad_norm": 0.2505607306957245, + "learning_rate": 0.00019683296919504012, + "loss": 0.922, + "step": 307 + }, + { + "epoch": 0.6901960784313725, + "grad_norm": 0.2522655725479126, + "learning_rate": 0.00019678394353676203, + "loss": 0.7934, + "step": 308 + }, + { + "epoch": 0.692436974789916, + "grad_norm": 0.2722029387950897, + "learning_rate": 0.000196734547528919, + "loss": 0.8775, + "step": 309 + }, + { + "epoch": 0.6946778711484594, + "grad_norm": 0.26442402601242065, + "learning_rate": 0.00019668478136052774, + "loss": 0.8696, + "step": 310 + }, + { + "epoch": 0.6969187675070028, + "grad_norm": 0.26388052105903625, + "learning_rate": 0.00019663464522202162, + "loss": 0.8569, + "step": 311 + }, + { + "epoch": 0.6991596638655462, + "grad_norm": 0.26141613721847534, + "learning_rate": 0.00019658413930524952, + "loss": 0.8485, + "step": 312 + }, + { + "epoch": 0.7014005602240896, + "grad_norm": 0.23456323146820068, + "learning_rate": 0.00019653326380347533, + "loss": 0.8913, + "step": 313 + }, + { + "epoch": 0.7036414565826331, + "grad_norm": 0.24977454543113708, + "learning_rate": 0.00019648201891137723, + "loss": 0.8729, + "step": 314 + }, + { + "epoch": 0.7058823529411765, + "grad_norm": 0.22706039249897003, + "learning_rate": 0.0001964304048250469, + "loss": 0.7885, + "step": 315 + }, + { + "epoch": 0.7081232492997199, + "grad_norm": 0.24601607024669647, + "learning_rate": 0.00019637842174198867, + "loss": 0.8387, + "step": 316 + }, + { + "epoch": 0.7103641456582633, + "grad_norm": 0.2545998990535736, + "learning_rate": 0.000196326069861119, + "loss": 0.8114, + "step": 317 + }, + { + "epoch": 0.7126050420168067, + "grad_norm": 0.24375082552433014, + "learning_rate": 0.00019627334938276546, + "loss": 0.843, + "step": 318 + }, + { + "epoch": 0.7148459383753502, + "grad_norm": 0.2519029378890991, + "learning_rate": 0.00019622026050866614, + "loss": 0.9088, + "step": 319 + }, + { + "epoch": 0.7170868347338936, + "grad_norm": 0.27405208349227905, + "learning_rate": 0.0001961668034419688, + "loss": 0.958, + "step": 320 + }, + { + "epoch": 0.719327731092437, + "grad_norm": 0.25491318106651306, + "learning_rate": 0.0001961129783872301, + "loss": 0.7692, + "step": 321 + }, + { + "epoch": 0.7215686274509804, + "grad_norm": 0.250347375869751, + "learning_rate": 0.00019605878555041485, + "loss": 0.8321, + "step": 322 + }, + { + "epoch": 0.7238095238095238, + "grad_norm": 0.24250715970993042, + "learning_rate": 0.00019600422513889516, + "loss": 0.7832, + "step": 323 + }, + { + "epoch": 0.7260504201680672, + "grad_norm": 0.2599019706249237, + "learning_rate": 0.00019594929736144976, + "loss": 0.8736, + "step": 324 + }, + { + "epoch": 0.7282913165266106, + "grad_norm": 0.25766611099243164, + "learning_rate": 0.00019589400242826305, + "loss": 0.7419, + "step": 325 + }, + { + "epoch": 0.730532212885154, + "grad_norm": 0.254658967256546, + "learning_rate": 0.00019583834055092445, + "loss": 0.9058, + "step": 326 + }, + { + "epoch": 0.7327731092436974, + "grad_norm": 0.2731349468231201, + "learning_rate": 0.00019578231194242743, + "loss": 0.9683, + "step": 327 + }, + { + "epoch": 0.735014005602241, + "grad_norm": 0.22153563797473907, + "learning_rate": 0.00019572591681716887, + "loss": 0.8146, + "step": 328 + }, + { + "epoch": 0.7372549019607844, + "grad_norm": 0.24707463383674622, + "learning_rate": 0.00019566915539094803, + "loss": 0.8204, + "step": 329 + }, + { + "epoch": 0.7394957983193278, + "grad_norm": 0.2541884779930115, + "learning_rate": 0.00019561202788096597, + "loss": 0.7638, + "step": 330 + }, + { + "epoch": 0.7417366946778712, + "grad_norm": 0.2314218282699585, + "learning_rate": 0.00019555453450582452, + "loss": 0.7502, + "step": 331 + }, + { + "epoch": 0.7439775910364146, + "grad_norm": 0.24334260821342468, + "learning_rate": 0.00019549667548552556, + "loss": 0.912, + "step": 332 + }, + { + "epoch": 0.746218487394958, + "grad_norm": 0.24473878741264343, + "learning_rate": 0.00019543845104147, + "loss": 0.7558, + "step": 333 + }, + { + "epoch": 0.7484593837535014, + "grad_norm": 0.25403597950935364, + "learning_rate": 0.00019537986139645726, + "loss": 0.8406, + "step": 334 + }, + { + "epoch": 0.7507002801120448, + "grad_norm": 0.24638508260250092, + "learning_rate": 0.0001953209067746841, + "loss": 0.736, + "step": 335 + }, + { + "epoch": 0.7529411764705882, + "grad_norm": 0.25604501366615295, + "learning_rate": 0.00019526158740174393, + "loss": 0.867, + "step": 336 + }, + { + "epoch": 0.7551820728291316, + "grad_norm": 0.2617231011390686, + "learning_rate": 0.00019520190350462584, + "loss": 0.8654, + "step": 337 + }, + { + "epoch": 0.757422969187675, + "grad_norm": 0.2620690166950226, + "learning_rate": 0.0001951418553117139, + "loss": 0.8428, + "step": 338 + }, + { + "epoch": 0.7596638655462185, + "grad_norm": 0.25454917550086975, + "learning_rate": 0.0001950814430527861, + "loss": 0.8676, + "step": 339 + }, + { + "epoch": 0.7619047619047619, + "grad_norm": 0.26449549198150635, + "learning_rate": 0.00019502066695901358, + "loss": 0.8709, + "step": 340 + }, + { + "epoch": 0.7641456582633053, + "grad_norm": 0.24709953367710114, + "learning_rate": 0.0001949595272629597, + "loss": 0.8312, + "step": 341 + }, + { + "epoch": 0.7663865546218488, + "grad_norm": 0.2593318819999695, + "learning_rate": 0.00019489802419857917, + "loss": 0.8274, + "step": 342 + }, + { + "epoch": 0.7686274509803922, + "grad_norm": 0.2448015958070755, + "learning_rate": 0.00019483615800121716, + "loss": 0.8226, + "step": 343 + }, + { + "epoch": 0.7708683473389356, + "grad_norm": 0.26445460319519043, + "learning_rate": 0.00019477392890760839, + "loss": 0.8492, + "step": 344 + }, + { + "epoch": 0.773109243697479, + "grad_norm": 0.2573208808898926, + "learning_rate": 0.00019471133715587622, + "loss": 0.8294, + "step": 345 + }, + { + "epoch": 0.7753501400560224, + "grad_norm": 0.26753151416778564, + "learning_rate": 0.00019464838298553173, + "loss": 0.8446, + "step": 346 + }, + { + "epoch": 0.7775910364145658, + "grad_norm": 0.2667967975139618, + "learning_rate": 0.00019458506663747285, + "loss": 0.8388, + "step": 347 + }, + { + "epoch": 0.7798319327731092, + "grad_norm": 0.25934740900993347, + "learning_rate": 0.00019452138835398332, + "loss": 0.8149, + "step": 348 + }, + { + "epoch": 0.7820728291316527, + "grad_norm": 0.2525850832462311, + "learning_rate": 0.00019445734837873202, + "loss": 0.8325, + "step": 349 + }, + { + "epoch": 0.7843137254901961, + "grad_norm": 0.2837854325771332, + "learning_rate": 0.00019439294695677167, + "loss": 0.8795, + "step": 350 + }, + { + "epoch": 0.7865546218487395, + "grad_norm": 0.26006975769996643, + "learning_rate": 0.00019432818433453818, + "loss": 0.8267, + "step": 351 + }, + { + "epoch": 0.7887955182072829, + "grad_norm": 0.24872632324695587, + "learning_rate": 0.00019426306075984965, + "loss": 0.8553, + "step": 352 + }, + { + "epoch": 0.7910364145658263, + "grad_norm": 0.23633168637752533, + "learning_rate": 0.00019419757648190533, + "loss": 0.8544, + "step": 353 + }, + { + "epoch": 0.7932773109243697, + "grad_norm": 0.2425261288881302, + "learning_rate": 0.00019413173175128473, + "loss": 0.8645, + "step": 354 + }, + { + "epoch": 0.7955182072829131, + "grad_norm": 0.23861053586006165, + "learning_rate": 0.00019406552681994663, + "loss": 0.8363, + "step": 355 + }, + { + "epoch": 0.7977591036414566, + "grad_norm": 0.24729354679584503, + "learning_rate": 0.00019399896194122822, + "loss": 0.8401, + "step": 356 + }, + { + "epoch": 0.8, + "grad_norm": 0.23853589594364166, + "learning_rate": 0.000193932037369844, + "loss": 0.8237, + "step": 357 + }, + { + "epoch": 0.8022408963585435, + "grad_norm": 0.2654939293861389, + "learning_rate": 0.00019386475336188484, + "loss": 0.7491, + "step": 358 + }, + { + "epoch": 0.8044817927170869, + "grad_norm": 0.27639004588127136, + "learning_rate": 0.000193797110174817, + "loss": 0.8755, + "step": 359 + }, + { + "epoch": 0.8067226890756303, + "grad_norm": 0.23675435781478882, + "learning_rate": 0.00019372910806748125, + "loss": 0.8292, + "step": 360 + }, + { + "epoch": 0.8089635854341737, + "grad_norm": 0.2371446043252945, + "learning_rate": 0.0001936607473000917, + "loss": 0.809, + "step": 361 + }, + { + "epoch": 0.8112044817927171, + "grad_norm": 0.2529555559158325, + "learning_rate": 0.0001935920281342349, + "loss": 0.8403, + "step": 362 + }, + { + "epoch": 0.8134453781512605, + "grad_norm": 0.2568047344684601, + "learning_rate": 0.00019352295083286896, + "loss": 0.7848, + "step": 363 + }, + { + "epoch": 0.8156862745098039, + "grad_norm": 0.2613024413585663, + "learning_rate": 0.0001934535156603222, + "loss": 0.844, + "step": 364 + }, + { + "epoch": 0.8179271708683473, + "grad_norm": 0.24079741537570953, + "learning_rate": 0.0001933837228822925, + "loss": 0.8029, + "step": 365 + }, + { + "epoch": 0.8201680672268907, + "grad_norm": 0.24890519678592682, + "learning_rate": 0.0001933135727658462, + "loss": 0.8712, + "step": 366 + }, + { + "epoch": 0.8224089635854341, + "grad_norm": 0.25198838114738464, + "learning_rate": 0.00019324306557941682, + "loss": 0.8368, + "step": 367 + }, + { + "epoch": 0.8246498599439775, + "grad_norm": 0.2470208704471588, + "learning_rate": 0.0001931722015928044, + "loss": 0.8896, + "step": 368 + }, + { + "epoch": 0.826890756302521, + "grad_norm": 0.25046589970588684, + "learning_rate": 0.00019310098107717418, + "loss": 0.7602, + "step": 369 + }, + { + "epoch": 0.8291316526610645, + "grad_norm": 0.28005844354629517, + "learning_rate": 0.0001930294043050558, + "loss": 0.9443, + "step": 370 + }, + { + "epoch": 0.8313725490196079, + "grad_norm": 0.6102829575538635, + "learning_rate": 0.00019295747155034202, + "loss": 0.911, + "step": 371 + }, + { + "epoch": 0.8336134453781513, + "grad_norm": 0.2472289353609085, + "learning_rate": 0.0001928851830882879, + "loss": 0.8271, + "step": 372 + }, + { + "epoch": 0.8358543417366947, + "grad_norm": 0.24470177292823792, + "learning_rate": 0.0001928125391955095, + "loss": 0.7837, + "step": 373 + }, + { + "epoch": 0.8380952380952381, + "grad_norm": 0.2458019107580185, + "learning_rate": 0.00019273954014998308, + "loss": 0.8496, + "step": 374 + }, + { + "epoch": 0.8403361344537815, + "grad_norm": 0.249577596783638, + "learning_rate": 0.00019266618623104385, + "loss": 0.7729, + "step": 375 + }, + { + "epoch": 0.8425770308123249, + "grad_norm": 0.2461290806531906, + "learning_rate": 0.000192592477719385, + "loss": 0.7955, + "step": 376 + }, + { + "epoch": 0.8448179271708683, + "grad_norm": 0.27021750807762146, + "learning_rate": 0.00019251841489705655, + "loss": 0.9384, + "step": 377 + }, + { + "epoch": 0.8470588235294118, + "grad_norm": 0.2547335624694824, + "learning_rate": 0.00019244399804746435, + "loss": 0.8254, + "step": 378 + }, + { + "epoch": 0.8492997198879552, + "grad_norm": 0.2620961368083954, + "learning_rate": 0.0001923692274553689, + "loss": 0.8587, + "step": 379 + }, + { + "epoch": 0.8515406162464986, + "grad_norm": 0.25756919384002686, + "learning_rate": 0.0001922941034068844, + "loss": 0.7906, + "step": 380 + }, + { + "epoch": 0.853781512605042, + "grad_norm": 0.25694355368614197, + "learning_rate": 0.0001922186261894775, + "loss": 0.7887, + "step": 381 + }, + { + "epoch": 0.8560224089635854, + "grad_norm": 0.2538197636604309, + "learning_rate": 0.0001921427960919663, + "loss": 0.8861, + "step": 382 + }, + { + "epoch": 0.8582633053221288, + "grad_norm": 0.2463122308254242, + "learning_rate": 0.00019206661340451925, + "loss": 0.8175, + "step": 383 + }, + { + "epoch": 0.8605042016806723, + "grad_norm": 0.23905646800994873, + "learning_rate": 0.00019199007841865396, + "loss": 0.7914, + "step": 384 + }, + { + "epoch": 0.8627450980392157, + "grad_norm": 0.2590409517288208, + "learning_rate": 0.0001919131914272361, + "loss": 0.8385, + "step": 385 + }, + { + "epoch": 0.8649859943977591, + "grad_norm": 0.2520500719547272, + "learning_rate": 0.00019183595272447842, + "loss": 0.7961, + "step": 386 + }, + { + "epoch": 0.8672268907563025, + "grad_norm": 0.2568177878856659, + "learning_rate": 0.00019175836260593938, + "loss": 0.8051, + "step": 387 + }, + { + "epoch": 0.869467787114846, + "grad_norm": 0.27684271335601807, + "learning_rate": 0.00019168042136852228, + "loss": 0.8953, + "step": 388 + }, + { + "epoch": 0.8717086834733894, + "grad_norm": 0.26281246542930603, + "learning_rate": 0.0001916021293104739, + "loss": 0.8602, + "step": 389 + }, + { + "epoch": 0.8739495798319328, + "grad_norm": 0.29199978709220886, + "learning_rate": 0.00019152348673138353, + "loss": 0.9776, + "step": 390 + }, + { + "epoch": 0.8761904761904762, + "grad_norm": 0.25914543867111206, + "learning_rate": 0.0001914444939321817, + "loss": 0.8394, + "step": 391 + }, + { + "epoch": 0.8784313725490196, + "grad_norm": 0.2472960352897644, + "learning_rate": 0.0001913651512151391, + "loss": 0.7995, + "step": 392 + }, + { + "epoch": 0.880672268907563, + "grad_norm": 0.24599507451057434, + "learning_rate": 0.00019128545888386536, + "loss": 0.7801, + "step": 393 + }, + { + "epoch": 0.8829131652661064, + "grad_norm": 0.23776014149188995, + "learning_rate": 0.00019120541724330803, + "loss": 0.8068, + "step": 394 + }, + { + "epoch": 0.8851540616246498, + "grad_norm": 0.27298274636268616, + "learning_rate": 0.0001911250265997512, + "loss": 0.9139, + "step": 395 + }, + { + "epoch": 0.8873949579831932, + "grad_norm": 0.2653828561306, + "learning_rate": 0.0001910442872608145, + "loss": 0.8917, + "step": 396 + }, + { + "epoch": 0.8896358543417366, + "grad_norm": 0.25794684886932373, + "learning_rate": 0.00019096319953545185, + "loss": 0.819, + "step": 397 + }, + { + "epoch": 0.8918767507002802, + "grad_norm": 0.24696165323257446, + "learning_rate": 0.0001908817637339503, + "loss": 0.7535, + "step": 398 + }, + { + "epoch": 0.8941176470588236, + "grad_norm": 0.2529006898403168, + "learning_rate": 0.00019079998016792885, + "loss": 0.7379, + "step": 399 + }, + { + "epoch": 0.896358543417367, + "grad_norm": 0.24874147772789001, + "learning_rate": 0.00019071784915033717, + "loss": 0.8973, + "step": 400 + }, + { + "epoch": 0.8985994397759104, + "grad_norm": 0.27747422456741333, + "learning_rate": 0.00019063537099545455, + "loss": 0.8685, + "step": 401 + }, + { + "epoch": 0.9008403361344538, + "grad_norm": 0.25184211134910583, + "learning_rate": 0.00019055254601888866, + "loss": 0.7937, + "step": 402 + }, + { + "epoch": 0.9030812324929972, + "grad_norm": 0.2565883994102478, + "learning_rate": 0.00019046937453757413, + "loss": 0.8677, + "step": 403 + }, + { + "epoch": 0.9053221288515406, + "grad_norm": 0.24833756685256958, + "learning_rate": 0.00019038585686977167, + "loss": 0.8777, + "step": 404 + }, + { + "epoch": 0.907563025210084, + "grad_norm": 0.24929295480251312, + "learning_rate": 0.00019030199333506666, + "loss": 0.8167, + "step": 405 + }, + { + "epoch": 0.9098039215686274, + "grad_norm": 0.24500809609889984, + "learning_rate": 0.00019021778425436795, + "loss": 0.8675, + "step": 406 + }, + { + "epoch": 0.9120448179271708, + "grad_norm": 0.25895681977272034, + "learning_rate": 0.0001901332299499066, + "loss": 0.8718, + "step": 407 + }, + { + "epoch": 0.9142857142857143, + "grad_norm": 0.22836971282958984, + "learning_rate": 0.00019004833074523478, + "loss": 0.8602, + "step": 408 + }, + { + "epoch": 0.9165266106442577, + "grad_norm": 0.26318010687828064, + "learning_rate": 0.00018996308696522433, + "loss": 0.838, + "step": 409 + }, + { + "epoch": 0.9187675070028011, + "grad_norm": 0.24389663338661194, + "learning_rate": 0.00018987749893606575, + "loss": 0.7798, + "step": 410 + }, + { + "epoch": 0.9210084033613445, + "grad_norm": 0.26448702812194824, + "learning_rate": 0.0001897915669852667, + "loss": 0.8053, + "step": 411 + }, + { + "epoch": 0.923249299719888, + "grad_norm": 0.25245535373687744, + "learning_rate": 0.000189705291441651, + "loss": 0.7915, + "step": 412 + }, + { + "epoch": 0.9254901960784314, + "grad_norm": 0.25623124837875366, + "learning_rate": 0.00018961867263535715, + "loss": 0.9167, + "step": 413 + }, + { + "epoch": 0.9277310924369748, + "grad_norm": 0.25271835923194885, + "learning_rate": 0.00018953171089783723, + "loss": 0.8663, + "step": 414 + }, + { + "epoch": 0.9299719887955182, + "grad_norm": 0.24757803976535797, + "learning_rate": 0.00018944440656185556, + "loss": 0.8411, + "step": 415 + }, + { + "epoch": 0.9322128851540616, + "grad_norm": 0.23879915475845337, + "learning_rate": 0.00018935675996148738, + "loss": 0.8071, + "step": 416 + }, + { + "epoch": 0.934453781512605, + "grad_norm": 0.3934721350669861, + "learning_rate": 0.0001892687714321177, + "loss": 0.7911, + "step": 417 + }, + { + "epoch": 0.9366946778711485, + "grad_norm": 0.27968111634254456, + "learning_rate": 0.00018918044131043985, + "loss": 0.8452, + "step": 418 + }, + { + "epoch": 0.9389355742296919, + "grad_norm": 0.2701101303100586, + "learning_rate": 0.00018909176993445442, + "loss": 0.8723, + "step": 419 + }, + { + "epoch": 0.9411764705882353, + "grad_norm": 0.2606533169746399, + "learning_rate": 0.00018900275764346768, + "loss": 0.7908, + "step": 420 + }, + { + "epoch": 0.9434173669467787, + "grad_norm": 0.2672193944454193, + "learning_rate": 0.00018891340477809055, + "loss": 0.9491, + "step": 421 + }, + { + "epoch": 0.9456582633053221, + "grad_norm": 0.2676648795604706, + "learning_rate": 0.00018882371168023706, + "loss": 0.8352, + "step": 422 + }, + { + "epoch": 0.9478991596638655, + "grad_norm": 0.265023410320282, + "learning_rate": 0.0001887336786931233, + "loss": 0.7894, + "step": 423 + }, + { + "epoch": 0.9501400560224089, + "grad_norm": 0.24014434218406677, + "learning_rate": 0.00018864330616126586, + "loss": 0.8394, + "step": 424 + }, + { + "epoch": 0.9523809523809523, + "grad_norm": 0.24389366805553436, + "learning_rate": 0.00018855259443048067, + "loss": 0.7857, + "step": 425 + }, + { + "epoch": 0.9546218487394958, + "grad_norm": 0.2471270114183426, + "learning_rate": 0.00018846154384788162, + "loss": 0.8576, + "step": 426 + }, + { + "epoch": 0.9568627450980393, + "grad_norm": 0.2577723264694214, + "learning_rate": 0.00018837015476187916, + "loss": 0.8377, + "step": 427 + }, + { + "epoch": 0.9591036414565827, + "grad_norm": 0.3224787414073944, + "learning_rate": 0.00018827842752217917, + "loss": 0.8801, + "step": 428 + }, + { + "epoch": 0.9613445378151261, + "grad_norm": 0.25494757294654846, + "learning_rate": 0.00018818636247978145, + "loss": 0.8173, + "step": 429 + }, + { + "epoch": 0.9635854341736695, + "grad_norm": 0.24220331013202667, + "learning_rate": 0.00018809395998697833, + "loss": 0.7747, + "step": 430 + }, + { + "epoch": 0.9658263305322129, + "grad_norm": 0.2741996645927429, + "learning_rate": 0.00018800122039735358, + "loss": 0.8636, + "step": 431 + }, + { + "epoch": 0.9680672268907563, + "grad_norm": 0.2558667063713074, + "learning_rate": 0.0001879081440657807, + "loss": 0.8456, + "step": 432 + }, + { + "epoch": 0.9703081232492997, + "grad_norm": 0.25905126333236694, + "learning_rate": 0.00018781473134842197, + "loss": 0.7961, + "step": 433 + }, + { + "epoch": 0.9725490196078431, + "grad_norm": 0.23688547313213348, + "learning_rate": 0.00018772098260272667, + "loss": 0.7555, + "step": 434 + }, + { + "epoch": 0.9747899159663865, + "grad_norm": 0.2701859176158905, + "learning_rate": 0.00018762689818743007, + "loss": 0.9353, + "step": 435 + }, + { + "epoch": 0.9770308123249299, + "grad_norm": 0.24914319813251495, + "learning_rate": 0.00018753247846255174, + "loss": 0.7678, + "step": 436 + }, + { + "epoch": 0.9792717086834734, + "grad_norm": 0.26182475686073303, + "learning_rate": 0.00018743772378939448, + "loss": 0.8374, + "step": 437 + }, + { + "epoch": 0.9815126050420168, + "grad_norm": 0.2661891281604767, + "learning_rate": 0.00018734263453054273, + "loss": 0.8816, + "step": 438 + }, + { + "epoch": 0.9837535014005602, + "grad_norm": 0.24797801673412323, + "learning_rate": 0.0001872472110498612, + "loss": 0.8069, + "step": 439 + }, + { + "epoch": 0.9859943977591037, + "grad_norm": 0.24370808899402618, + "learning_rate": 0.0001871514537124936, + "loss": 0.7405, + "step": 440 + }, + { + "epoch": 0.9882352941176471, + "grad_norm": 0.2744685709476471, + "learning_rate": 0.00018705536288486118, + "loss": 0.7706, + "step": 441 + }, + { + "epoch": 0.9904761904761905, + "grad_norm": 0.265438437461853, + "learning_rate": 0.0001869589389346611, + "loss": 0.8649, + "step": 442 + }, + { + "epoch": 0.9927170868347339, + "grad_norm": 0.24661187827587128, + "learning_rate": 0.0001868621822308655, + "loss": 0.8138, + "step": 443 + }, + { + "epoch": 0.9949579831932773, + "grad_norm": 0.2580495774745941, + "learning_rate": 0.00018676509314371974, + "loss": 0.7765, + "step": 444 + }, + { + "epoch": 0.9971988795518207, + "grad_norm": 0.2546556293964386, + "learning_rate": 0.00018666767204474094, + "loss": 0.8873, + "step": 445 + }, + { + "epoch": 0.9994397759103641, + "grad_norm": 0.25944411754608154, + "learning_rate": 0.00018656991930671686, + "loss": 0.8651, + "step": 446 + }, + { + "epoch": 1.0016806722689076, + "grad_norm": 0.25578224658966064, + "learning_rate": 0.00018647183530370415, + "loss": 0.9027, + "step": 447 + }, + { + "epoch": 1.003921568627451, + "grad_norm": 0.24953621625900269, + "learning_rate": 0.00018637342041102718, + "loss": 0.6952, + "step": 448 + }, + { + "epoch": 1.0061624649859944, + "grad_norm": 0.24714386463165283, + "learning_rate": 0.0001862746750052764, + "loss": 0.6983, + "step": 449 + }, + { + "epoch": 1.0084033613445378, + "grad_norm": 0.2614993155002594, + "learning_rate": 0.00018617559946430706, + "loss": 0.7272, + "step": 450 + }, + { + "epoch": 1.0106442577030812, + "grad_norm": 0.27017897367477417, + "learning_rate": 0.00018607619416723765, + "loss": 0.7644, + "step": 451 + }, + { + "epoch": 1.0128851540616246, + "grad_norm": 0.28906649351119995, + "learning_rate": 0.0001859764594944485, + "loss": 0.7651, + "step": 452 + }, + { + "epoch": 1.015126050420168, + "grad_norm": 0.28600478172302246, + "learning_rate": 0.00018587639582758031, + "loss": 0.732, + "step": 453 + }, + { + "epoch": 1.0173669467787114, + "grad_norm": 0.28704679012298584, + "learning_rate": 0.0001857760035495327, + "loss": 0.713, + "step": 454 + }, + { + "epoch": 1.0196078431372548, + "grad_norm": 0.36615249514579773, + "learning_rate": 0.0001856752830444628, + "loss": 0.8691, + "step": 455 + }, + { + "epoch": 1.0218487394957982, + "grad_norm": 0.28983429074287415, + "learning_rate": 0.00018557423469778357, + "loss": 0.7513, + "step": 456 + }, + { + "epoch": 1.0240896358543417, + "grad_norm": 0.2740822732448578, + "learning_rate": 0.0001854728588961626, + "loss": 0.7319, + "step": 457 + }, + { + "epoch": 1.026330532212885, + "grad_norm": 0.26059162616729736, + "learning_rate": 0.00018537115602752053, + "loss": 0.7727, + "step": 458 + }, + { + "epoch": 1.0285714285714285, + "grad_norm": 0.25983962416648865, + "learning_rate": 0.00018526912648102943, + "loss": 0.7428, + "step": 459 + }, + { + "epoch": 1.0308123249299719, + "grad_norm": 0.2570248246192932, + "learning_rate": 0.0001851667706471115, + "loss": 0.8065, + "step": 460 + }, + { + "epoch": 1.0330532212885155, + "grad_norm": 0.2523268163204193, + "learning_rate": 0.0001850640889174375, + "loss": 0.729, + "step": 461 + }, + { + "epoch": 1.035294117647059, + "grad_norm": 0.2655740976333618, + "learning_rate": 0.0001849610816849252, + "loss": 0.7717, + "step": 462 + }, + { + "epoch": 1.0375350140056023, + "grad_norm": 0.2684931755065918, + "learning_rate": 0.0001848577493437379, + "loss": 0.6862, + "step": 463 + }, + { + "epoch": 1.0397759103641457, + "grad_norm": 0.29195067286491394, + "learning_rate": 0.00018475409228928312, + "loss": 0.7204, + "step": 464 + }, + { + "epoch": 1.0420168067226891, + "grad_norm": 0.299556165933609, + "learning_rate": 0.00018465011091821072, + "loss": 0.8587, + "step": 465 + }, + { + "epoch": 1.0442577030812326, + "grad_norm": 0.2898513078689575, + "learning_rate": 0.00018454580562841163, + "loss": 0.7628, + "step": 466 + }, + { + "epoch": 1.046498599439776, + "grad_norm": 0.30156147480010986, + "learning_rate": 0.00018444117681901638, + "loss": 0.7437, + "step": 467 + }, + { + "epoch": 1.0487394957983194, + "grad_norm": 0.2778584361076355, + "learning_rate": 0.00018433622489039334, + "loss": 0.6211, + "step": 468 + }, + { + "epoch": 1.0509803921568628, + "grad_norm": 0.29723167419433594, + "learning_rate": 0.00018423095024414733, + "loss": 0.6958, + "step": 469 + }, + { + "epoch": 1.0532212885154062, + "grad_norm": 0.27120769023895264, + "learning_rate": 0.00018412535328311814, + "loss": 0.8491, + "step": 470 + }, + { + "epoch": 1.0554621848739496, + "grad_norm": 0.28341060876846313, + "learning_rate": 0.00018401943441137886, + "loss": 0.65, + "step": 471 + }, + { + "epoch": 1.057703081232493, + "grad_norm": 0.3047507107257843, + "learning_rate": 0.00018391319403423436, + "loss": 0.7248, + "step": 472 + }, + { + "epoch": 1.0599439775910364, + "grad_norm": 0.41425445675849915, + "learning_rate": 0.00018380663255821995, + "loss": 0.7587, + "step": 473 + }, + { + "epoch": 1.0621848739495798, + "grad_norm": 0.29975569248199463, + "learning_rate": 0.00018369975039109936, + "loss": 0.75, + "step": 474 + }, + { + "epoch": 1.0644257703081232, + "grad_norm": 0.2992658317089081, + "learning_rate": 0.0001835925479418637, + "loss": 0.7145, + "step": 475 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.29061266779899597, + "learning_rate": 0.00018348502562072955, + "loss": 0.7085, + "step": 476 + }, + { + "epoch": 1.06890756302521, + "grad_norm": 0.2972713112831116, + "learning_rate": 0.00018337718383913752, + "loss": 0.6741, + "step": 477 + }, + { + "epoch": 1.0711484593837535, + "grad_norm": 0.33825528621673584, + "learning_rate": 0.0001832690230097506, + "loss": 0.9284, + "step": 478 + }, + { + "epoch": 1.0733893557422969, + "grad_norm": 0.439996600151062, + "learning_rate": 0.00018316054354645283, + "loss": 0.7515, + "step": 479 + }, + { + "epoch": 1.0756302521008403, + "grad_norm": 0.28441861271858215, + "learning_rate": 0.00018305174586434725, + "loss": 0.73, + "step": 480 + }, + { + "epoch": 1.0778711484593837, + "grad_norm": 0.26948654651641846, + "learning_rate": 0.00018294263037975475, + "loss": 0.6871, + "step": 481 + }, + { + "epoch": 1.080112044817927, + "grad_norm": 0.29222843050956726, + "learning_rate": 0.00018283319751021232, + "loss": 0.6827, + "step": 482 + }, + { + "epoch": 1.0823529411764705, + "grad_norm": 0.31007933616638184, + "learning_rate": 0.00018272344767447134, + "loss": 0.793, + "step": 483 + }, + { + "epoch": 1.084593837535014, + "grad_norm": 0.29892498254776, + "learning_rate": 0.0001826133812924962, + "loss": 0.6541, + "step": 484 + }, + { + "epoch": 1.0868347338935573, + "grad_norm": 0.3294057250022888, + "learning_rate": 0.00018250299878546245, + "loss": 0.7719, + "step": 485 + }, + { + "epoch": 1.0890756302521007, + "grad_norm": 0.2897263765335083, + "learning_rate": 0.00018239230057575542, + "loss": 0.7306, + "step": 486 + }, + { + "epoch": 1.0913165266106442, + "grad_norm": 0.2852244973182678, + "learning_rate": 0.00018228128708696844, + "loss": 0.6512, + "step": 487 + }, + { + "epoch": 1.0935574229691878, + "grad_norm": 0.3132948577404022, + "learning_rate": 0.00018216995874390128, + "loss": 0.6859, + "step": 488 + }, + { + "epoch": 1.0957983193277312, + "grad_norm": 0.33552494645118713, + "learning_rate": 0.0001820583159725585, + "loss": 0.7039, + "step": 489 + }, + { + "epoch": 1.0980392156862746, + "grad_norm": 0.3188576102256775, + "learning_rate": 0.0001819463592001479, + "loss": 0.702, + "step": 490 + }, + { + "epoch": 1.100280112044818, + "grad_norm": 0.3157289922237396, + "learning_rate": 0.00018183408885507873, + "loss": 0.706, + "step": 491 + }, + { + "epoch": 1.1025210084033614, + "grad_norm": 0.27868008613586426, + "learning_rate": 0.00018172150536696025, + "loss": 0.6802, + "step": 492 + }, + { + "epoch": 1.1047619047619048, + "grad_norm": 0.29156798124313354, + "learning_rate": 0.0001816086091665999, + "loss": 0.7465, + "step": 493 + }, + { + "epoch": 1.1070028011204482, + "grad_norm": 0.2826281487941742, + "learning_rate": 0.00018149540068600182, + "loss": 0.7023, + "step": 494 + }, + { + "epoch": 1.1092436974789917, + "grad_norm": 0.3162992596626282, + "learning_rate": 0.00018138188035836497, + "loss": 0.7039, + "step": 495 + }, + { + "epoch": 1.111484593837535, + "grad_norm": 0.2732091248035431, + "learning_rate": 0.00018126804861808176, + "loss": 0.7372, + "step": 496 + }, + { + "epoch": 1.1137254901960785, + "grad_norm": 0.3039727807044983, + "learning_rate": 0.0001811539059007361, + "loss": 0.7148, + "step": 497 + }, + { + "epoch": 1.1159663865546219, + "grad_norm": 0.29023319482803345, + "learning_rate": 0.00018103945264310204, + "loss": 0.644, + "step": 498 + }, + { + "epoch": 1.1182072829131653, + "grad_norm": 0.2907212972640991, + "learning_rate": 0.00018092468928314172, + "loss": 0.7281, + "step": 499 + }, + { + "epoch": 1.1204481792717087, + "grad_norm": 0.2867254912853241, + "learning_rate": 0.0001808096162600041, + "loss": 0.7652, + "step": 500 + }, + { + "epoch": 1.122689075630252, + "grad_norm": 0.29929518699645996, + "learning_rate": 0.000180694234014023, + "loss": 0.713, + "step": 501 + }, + { + "epoch": 1.1249299719887955, + "grad_norm": 0.3078075647354126, + "learning_rate": 0.00018057854298671546, + "loss": 0.7255, + "step": 502 + }, + { + "epoch": 1.127170868347339, + "grad_norm": 0.3214311897754669, + "learning_rate": 0.0001804625436207802, + "loss": 0.7369, + "step": 503 + }, + { + "epoch": 1.1294117647058823, + "grad_norm": 0.3541346490383148, + "learning_rate": 0.00018034623636009568, + "loss": 0.8864, + "step": 504 + }, + { + "epoch": 1.1316526610644257, + "grad_norm": 0.31777986884117126, + "learning_rate": 0.00018022962164971867, + "loss": 0.7382, + "step": 505 + }, + { + "epoch": 1.1338935574229692, + "grad_norm": 0.3204372525215149, + "learning_rate": 0.00018011269993588232, + "loss": 0.7998, + "step": 506 + }, + { + "epoch": 1.1361344537815126, + "grad_norm": 0.30363792181015015, + "learning_rate": 0.0001799954716659946, + "loss": 0.7145, + "step": 507 + }, + { + "epoch": 1.138375350140056, + "grad_norm": 0.3061518371105194, + "learning_rate": 0.00017987793728863651, + "loss": 0.7217, + "step": 508 + }, + { + "epoch": 1.1406162464985994, + "grad_norm": 0.3020443618297577, + "learning_rate": 0.00017976009725356038, + "loss": 0.6765, + "step": 509 + }, + { + "epoch": 1.1428571428571428, + "grad_norm": 0.324278861284256, + "learning_rate": 0.00017964195201168817, + "loss": 0.8419, + "step": 510 + }, + { + "epoch": 1.1450980392156862, + "grad_norm": 0.3056583106517792, + "learning_rate": 0.00017952350201510978, + "loss": 0.8153, + "step": 511 + }, + { + "epoch": 1.1473389355742296, + "grad_norm": 0.3339795470237732, + "learning_rate": 0.00017940474771708115, + "loss": 0.8701, + "step": 512 + }, + { + "epoch": 1.149579831932773, + "grad_norm": 0.2845865488052368, + "learning_rate": 0.00017928568957202278, + "loss": 0.6865, + "step": 513 + }, + { + "epoch": 1.1518207282913164, + "grad_norm": 0.3049021065235138, + "learning_rate": 0.0001791663280355178, + "loss": 0.6772, + "step": 514 + }, + { + "epoch": 1.1540616246498598, + "grad_norm": 0.2814830541610718, + "learning_rate": 0.00017904666356431028, + "loss": 0.7092, + "step": 515 + }, + { + "epoch": 1.1563025210084033, + "grad_norm": 0.2870534360408783, + "learning_rate": 0.0001789266966163035, + "loss": 0.7056, + "step": 516 + }, + { + "epoch": 1.1585434173669467, + "grad_norm": 0.2947506606578827, + "learning_rate": 0.00017880642765055816, + "loss": 0.7208, + "step": 517 + }, + { + "epoch": 1.1607843137254903, + "grad_norm": 0.29607728123664856, + "learning_rate": 0.00017868585712729068, + "loss": 0.7441, + "step": 518 + }, + { + "epoch": 1.1630252100840337, + "grad_norm": 0.3445536494255066, + "learning_rate": 0.00017856498550787144, + "loss": 0.7116, + "step": 519 + }, + { + "epoch": 1.165266106442577, + "grad_norm": 0.3803198039531708, + "learning_rate": 0.0001784438132548229, + "loss": 0.7871, + "step": 520 + }, + { + "epoch": 1.1675070028011205, + "grad_norm": 0.37584301829338074, + "learning_rate": 0.00017832234083181795, + "loss": 0.7877, + "step": 521 + }, + { + "epoch": 1.169747899159664, + "grad_norm": 0.3182366192340851, + "learning_rate": 0.0001782005687036781, + "loss": 0.7112, + "step": 522 + }, + { + "epoch": 1.1719887955182073, + "grad_norm": 0.3022582530975342, + "learning_rate": 0.00017807849733637176, + "loss": 0.7275, + "step": 523 + }, + { + "epoch": 1.1742296918767507, + "grad_norm": 0.31011196970939636, + "learning_rate": 0.00017795612719701226, + "loss": 0.7439, + "step": 524 + }, + { + "epoch": 1.1764705882352942, + "grad_norm": 0.30964523553848267, + "learning_rate": 0.00017783345875385634, + "loss": 0.7788, + "step": 525 + }, + { + "epoch": 1.1787114845938376, + "grad_norm": 0.29043567180633545, + "learning_rate": 0.00017771049247630215, + "loss": 0.7925, + "step": 526 + }, + { + "epoch": 1.180952380952381, + "grad_norm": 0.28265780210494995, + "learning_rate": 0.00017758722883488745, + "loss": 0.8563, + "step": 527 + }, + { + "epoch": 1.1831932773109244, + "grad_norm": 0.2864142060279846, + "learning_rate": 0.00017746366830128803, + "loss": 0.6427, + "step": 528 + }, + { + "epoch": 1.1854341736694678, + "grad_norm": 0.28759056329727173, + "learning_rate": 0.00017733981134831567, + "loss": 0.6629, + "step": 529 + }, + { + "epoch": 1.1876750700280112, + "grad_norm": 0.3355376422405243, + "learning_rate": 0.00017721565844991643, + "loss": 0.7418, + "step": 530 + }, + { + "epoch": 1.1899159663865546, + "grad_norm": 0.3486466109752655, + "learning_rate": 0.0001770912100811688, + "loss": 0.7885, + "step": 531 + }, + { + "epoch": 1.192156862745098, + "grad_norm": 0.2857566475868225, + "learning_rate": 0.000176966466718282, + "loss": 0.6359, + "step": 532 + }, + { + "epoch": 1.1943977591036414, + "grad_norm": 0.3142206072807312, + "learning_rate": 0.00017684142883859388, + "loss": 0.6964, + "step": 533 + }, + { + "epoch": 1.1966386554621848, + "grad_norm": 0.3039001524448395, + "learning_rate": 0.00017671609692056946, + "loss": 0.6951, + "step": 534 + }, + { + "epoch": 1.1988795518207283, + "grad_norm": 0.31849658489227295, + "learning_rate": 0.00017659047144379878, + "loss": 0.7428, + "step": 535 + }, + { + "epoch": 1.2011204481792717, + "grad_norm": 0.2935810983181, + "learning_rate": 0.00017646455288899534, + "loss": 0.7668, + "step": 536 + }, + { + "epoch": 1.203361344537815, + "grad_norm": 0.2911589443683624, + "learning_rate": 0.00017633834173799403, + "loss": 0.7237, + "step": 537 + }, + { + "epoch": 1.2056022408963585, + "grad_norm": 0.28567075729370117, + "learning_rate": 0.00017621183847374935, + "loss": 0.7464, + "step": 538 + }, + { + "epoch": 1.2078431372549019, + "grad_norm": 0.299709677696228, + "learning_rate": 0.00017608504358033363, + "loss": 0.7176, + "step": 539 + }, + { + "epoch": 1.2100840336134453, + "grad_norm": 0.2959325313568115, + "learning_rate": 0.00017595795754293513, + "loss": 0.6807, + "step": 540 + }, + { + "epoch": 1.2123249299719887, + "grad_norm": 0.27634045481681824, + "learning_rate": 0.00017583058084785625, + "loss": 0.6773, + "step": 541 + }, + { + "epoch": 1.2145658263305321, + "grad_norm": 0.33680498600006104, + "learning_rate": 0.00017570291398251152, + "loss": 0.7985, + "step": 542 + }, + { + "epoch": 1.2168067226890757, + "grad_norm": 0.318645179271698, + "learning_rate": 0.00017557495743542585, + "loss": 0.6376, + "step": 543 + }, + { + "epoch": 1.2190476190476192, + "grad_norm": 0.31514203548431396, + "learning_rate": 0.0001754467116962326, + "loss": 0.7327, + "step": 544 + }, + { + "epoch": 1.2212885154061626, + "grad_norm": 0.32726311683654785, + "learning_rate": 0.0001753181772556719, + "loss": 0.7329, + "step": 545 + }, + { + "epoch": 1.223529411764706, + "grad_norm": 0.3274557292461395, + "learning_rate": 0.00017518935460558838, + "loss": 0.6818, + "step": 546 + }, + { + "epoch": 1.2257703081232494, + "grad_norm": 0.3218080699443817, + "learning_rate": 0.0001750602442389297, + "loss": 0.734, + "step": 547 + }, + { + "epoch": 1.2280112044817928, + "grad_norm": 0.3002873659133911, + "learning_rate": 0.0001749308466497444, + "loss": 0.617, + "step": 548 + }, + { + "epoch": 1.2302521008403362, + "grad_norm": 0.30696091055870056, + "learning_rate": 0.00017480116233318014, + "loss": 0.7417, + "step": 549 + }, + { + "epoch": 1.2324929971988796, + "grad_norm": 0.341802716255188, + "learning_rate": 0.0001746711917854817, + "loss": 0.7806, + "step": 550 + }, + { + "epoch": 1.234733893557423, + "grad_norm": 0.3180257976055145, + "learning_rate": 0.00017454093550398918, + "loss": 0.6813, + "step": 551 + }, + { + "epoch": 1.2369747899159664, + "grad_norm": 0.3485969007015228, + "learning_rate": 0.00017441039398713608, + "loss": 0.7385, + "step": 552 + }, + { + "epoch": 1.2392156862745098, + "grad_norm": 0.3271244466304779, + "learning_rate": 0.00017427956773444732, + "loss": 0.6891, + "step": 553 + }, + { + "epoch": 1.2414565826330533, + "grad_norm": 0.31936562061309814, + "learning_rate": 0.00017414845724653743, + "loss": 0.683, + "step": 554 + }, + { + "epoch": 1.2436974789915967, + "grad_norm": 0.33722570538520813, + "learning_rate": 0.0001740170630251085, + "loss": 0.8026, + "step": 555 + }, + { + "epoch": 1.24593837535014, + "grad_norm": 0.3108736276626587, + "learning_rate": 0.00017388538557294852, + "loss": 0.6923, + "step": 556 + }, + { + "epoch": 1.2481792717086835, + "grad_norm": 0.32877469062805176, + "learning_rate": 0.00017375342539392903, + "loss": 0.7007, + "step": 557 + }, + { + "epoch": 1.250420168067227, + "grad_norm": 0.3236118257045746, + "learning_rate": 0.00017362118299300361, + "loss": 0.6852, + "step": 558 + }, + { + "epoch": 1.2526610644257703, + "grad_norm": 0.30720242857933044, + "learning_rate": 0.00017348865887620573, + "loss": 0.6665, + "step": 559 + }, + { + "epoch": 1.2549019607843137, + "grad_norm": 0.32177719473838806, + "learning_rate": 0.00017335585355064692, + "loss": 0.7097, + "step": 560 + }, + { + "epoch": 1.2571428571428571, + "grad_norm": 0.31638845801353455, + "learning_rate": 0.0001732227675245147, + "loss": 0.6966, + "step": 561 + }, + { + "epoch": 1.2593837535014005, + "grad_norm": 0.3173747956752777, + "learning_rate": 0.00017308940130707069, + "loss": 0.6972, + "step": 562 + }, + { + "epoch": 1.261624649859944, + "grad_norm": 0.31755855679512024, + "learning_rate": 0.00017295575540864877, + "loss": 0.7192, + "step": 563 + }, + { + "epoch": 1.2638655462184873, + "grad_norm": 0.30816033482551575, + "learning_rate": 0.00017282183034065296, + "loss": 0.6723, + "step": 564 + }, + { + "epoch": 1.2661064425770308, + "grad_norm": 0.3106657564640045, + "learning_rate": 0.00017268762661555557, + "loss": 0.754, + "step": 565 + }, + { + "epoch": 1.2683473389355742, + "grad_norm": 0.3460423946380615, + "learning_rate": 0.00017255314474689523, + "loss": 0.7836, + "step": 566 + }, + { + "epoch": 1.2705882352941176, + "grad_norm": 0.33377137780189514, + "learning_rate": 0.00017241838524927484, + "loss": 0.8304, + "step": 567 + }, + { + "epoch": 1.272829131652661, + "grad_norm": 0.3150513470172882, + "learning_rate": 0.0001722833486383597, + "loss": 0.9003, + "step": 568 + }, + { + "epoch": 1.2750700280112044, + "grad_norm": 0.2992112934589386, + "learning_rate": 0.00017214803543087555, + "loss": 0.7655, + "step": 569 + }, + { + "epoch": 1.2773109243697478, + "grad_norm": 0.2952958345413208, + "learning_rate": 0.00017201244614460643, + "loss": 0.6524, + "step": 570 + }, + { + "epoch": 1.2795518207282912, + "grad_norm": 0.31578466296195984, + "learning_rate": 0.00017187658129839294, + "loss": 0.7415, + "step": 571 + }, + { + "epoch": 1.2817927170868346, + "grad_norm": 0.33429616689682007, + "learning_rate": 0.00017174044141213, + "loss": 0.8142, + "step": 572 + }, + { + "epoch": 1.284033613445378, + "grad_norm": 0.32365548610687256, + "learning_rate": 0.0001716040270067651, + "loss": 0.6806, + "step": 573 + }, + { + "epoch": 1.2862745098039214, + "grad_norm": 0.3116409182548523, + "learning_rate": 0.00017146733860429612, + "loss": 0.6899, + "step": 574 + }, + { + "epoch": 1.2885154061624648, + "grad_norm": 0.35744285583496094, + "learning_rate": 0.00017133037672776942, + "loss": 0.74, + "step": 575 + }, + { + "epoch": 1.2907563025210085, + "grad_norm": 0.2882843613624573, + "learning_rate": 0.00017119314190127788, + "loss": 0.6437, + "step": 576 + }, + { + "epoch": 1.292997198879552, + "grad_norm": 0.31813856959342957, + "learning_rate": 0.00017105563464995873, + "loss": 0.6738, + "step": 577 + }, + { + "epoch": 1.2952380952380953, + "grad_norm": 0.32429373264312744, + "learning_rate": 0.00017091785549999176, + "loss": 0.8131, + "step": 578 + }, + { + "epoch": 1.2974789915966387, + "grad_norm": 0.32878828048706055, + "learning_rate": 0.00017077980497859713, + "loss": 0.6904, + "step": 579 + }, + { + "epoch": 1.2997198879551821, + "grad_norm": 0.30764883756637573, + "learning_rate": 0.00017064148361403347, + "loss": 0.7343, + "step": 580 + }, + { + "epoch": 1.3019607843137255, + "grad_norm": 0.319346159696579, + "learning_rate": 0.00017050289193559578, + "loss": 0.6926, + "step": 581 + }, + { + "epoch": 1.304201680672269, + "grad_norm": 0.31245169043540955, + "learning_rate": 0.00017036403047361335, + "loss": 0.7876, + "step": 582 + }, + { + "epoch": 1.3064425770308123, + "grad_norm": 0.29874372482299805, + "learning_rate": 0.000170224899759448, + "loss": 0.6569, + "step": 583 + }, + { + "epoch": 1.3086834733893558, + "grad_norm": 0.3087962865829468, + "learning_rate": 0.00017008550032549167, + "loss": 0.6892, + "step": 584 + }, + { + "epoch": 1.3109243697478992, + "grad_norm": 0.31366726756095886, + "learning_rate": 0.0001699458327051647, + "loss": 0.7782, + "step": 585 + }, + { + "epoch": 1.3131652661064426, + "grad_norm": 0.304023802280426, + "learning_rate": 0.00016980589743291363, + "loss": 0.7213, + "step": 586 + }, + { + "epoch": 1.315406162464986, + "grad_norm": 0.2973663806915283, + "learning_rate": 0.00016966569504420914, + "loss": 0.6942, + "step": 587 + }, + { + "epoch": 1.3176470588235294, + "grad_norm": 0.3077528178691864, + "learning_rate": 0.0001695252260755441, + "loss": 0.7192, + "step": 588 + }, + { + "epoch": 1.3198879551820728, + "grad_norm": 0.3302268087863922, + "learning_rate": 0.00016938449106443138, + "loss": 0.7904, + "step": 589 + }, + { + "epoch": 1.3221288515406162, + "grad_norm": 0.3201766312122345, + "learning_rate": 0.00016924349054940204, + "loss": 0.6851, + "step": 590 + }, + { + "epoch": 1.3243697478991596, + "grad_norm": 0.31299325823783875, + "learning_rate": 0.00016910222507000294, + "loss": 0.6355, + "step": 591 + }, + { + "epoch": 1.326610644257703, + "grad_norm": 0.3279891610145569, + "learning_rate": 0.00016896069516679493, + "loss": 0.7587, + "step": 592 + }, + { + "epoch": 1.3288515406162464, + "grad_norm": 0.3423704206943512, + "learning_rate": 0.0001688189013813507, + "loss": 0.7352, + "step": 593 + }, + { + "epoch": 1.3310924369747898, + "grad_norm": 0.3414992690086365, + "learning_rate": 0.00016867684425625262, + "loss": 0.6362, + "step": 594 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.3365124464035034, + "learning_rate": 0.00016853452433509086, + "loss": 0.7817, + "step": 595 + }, + { + "epoch": 1.3355742296918767, + "grad_norm": 0.3402608633041382, + "learning_rate": 0.00016839194216246108, + "loss": 0.713, + "step": 596 + }, + { + "epoch": 1.3378151260504203, + "grad_norm": 0.3226512670516968, + "learning_rate": 0.00016824909828396255, + "loss": 0.6853, + "step": 597 + }, + { + "epoch": 1.3400560224089637, + "grad_norm": 0.3510406017303467, + "learning_rate": 0.0001681059932461959, + "loss": 0.7548, + "step": 598 + }, + { + "epoch": 1.3422969187675071, + "grad_norm": 0.3165980875492096, + "learning_rate": 0.00016796262759676117, + "loss": 0.6952, + "step": 599 + }, + { + "epoch": 1.3445378151260505, + "grad_norm": 0.3366287052631378, + "learning_rate": 0.00016781900188425562, + "loss": 0.7872, + "step": 600 + }, + { + "epoch": 1.346778711484594, + "grad_norm": 0.30944567918777466, + "learning_rate": 0.00016767511665827166, + "loss": 0.6944, + "step": 601 + }, + { + "epoch": 1.3490196078431373, + "grad_norm": 0.31927919387817383, + "learning_rate": 0.00016753097246939474, + "loss": 0.6778, + "step": 602 + }, + { + "epoch": 1.3512605042016808, + "grad_norm": 0.36404141783714294, + "learning_rate": 0.0001673865698692012, + "loss": 0.8198, + "step": 603 + }, + { + "epoch": 1.3535014005602242, + "grad_norm": 0.28067895770072937, + "learning_rate": 0.00016724190941025627, + "loss": 0.6561, + "step": 604 + }, + { + "epoch": 1.3557422969187676, + "grad_norm": 0.33814799785614014, + "learning_rate": 0.00016709699164611192, + "loss": 0.725, + "step": 605 + }, + { + "epoch": 1.357983193277311, + "grad_norm": 0.3168368935585022, + "learning_rate": 0.0001669518171313046, + "loss": 0.7295, + "step": 606 + }, + { + "epoch": 1.3602240896358544, + "grad_norm": 0.37248319387435913, + "learning_rate": 0.00016680638642135336, + "loss": 0.7566, + "step": 607 + }, + { + "epoch": 1.3624649859943978, + "grad_norm": 0.32318514585494995, + "learning_rate": 0.00016666070007275748, + "loss": 0.6949, + "step": 608 + }, + { + "epoch": 1.3647058823529412, + "grad_norm": 0.34030449390411377, + "learning_rate": 0.00016651475864299452, + "loss": 0.6823, + "step": 609 + }, + { + "epoch": 1.3669467787114846, + "grad_norm": 0.3123067319393158, + "learning_rate": 0.00016636856269051814, + "loss": 0.7236, + "step": 610 + }, + { + "epoch": 1.369187675070028, + "grad_norm": 0.32035380601882935, + "learning_rate": 0.0001662221127747559, + "loss": 0.7254, + "step": 611 + }, + { + "epoch": 1.3714285714285714, + "grad_norm": 0.3208359181880951, + "learning_rate": 0.00016607540945610722, + "loss": 0.7309, + "step": 612 + }, + { + "epoch": 1.3736694677871149, + "grad_norm": 0.31935855746269226, + "learning_rate": 0.00016592845329594112, + "loss": 0.8216, + "step": 613 + }, + { + "epoch": 1.3759103641456583, + "grad_norm": 0.2906378209590912, + "learning_rate": 0.00016578124485659414, + "loss": 0.7283, + "step": 614 + }, + { + "epoch": 1.3781512605042017, + "grad_norm": 0.3059033751487732, + "learning_rate": 0.00016563378470136822, + "loss": 0.7455, + "step": 615 + }, + { + "epoch": 1.380392156862745, + "grad_norm": 0.30803483724594116, + "learning_rate": 0.00016548607339452853, + "loss": 0.6463, + "step": 616 + }, + { + "epoch": 1.3826330532212885, + "grad_norm": 0.32379990816116333, + "learning_rate": 0.00016533811150130117, + "loss": 0.7454, + "step": 617 + }, + { + "epoch": 1.384873949579832, + "grad_norm": 0.3142244815826416, + "learning_rate": 0.00016518989958787126, + "loss": 0.7142, + "step": 618 + }, + { + "epoch": 1.3871148459383753, + "grad_norm": 0.32228538393974304, + "learning_rate": 0.00016504143822138056, + "loss": 0.626, + "step": 619 + }, + { + "epoch": 1.3893557422969187, + "grad_norm": 0.3554072082042694, + "learning_rate": 0.00016489272796992537, + "loss": 0.6818, + "step": 620 + }, + { + "epoch": 1.3915966386554621, + "grad_norm": 0.3763510584831238, + "learning_rate": 0.00016474376940255444, + "loss": 0.7584, + "step": 621 + }, + { + "epoch": 1.3938375350140055, + "grad_norm": 0.3938269317150116, + "learning_rate": 0.0001645945630892666, + "loss": 0.815, + "step": 622 + }, + { + "epoch": 1.396078431372549, + "grad_norm": 0.32350701093673706, + "learning_rate": 0.00016444510960100879, + "loss": 0.7073, + "step": 623 + }, + { + "epoch": 1.3983193277310924, + "grad_norm": 0.33908578753471375, + "learning_rate": 0.00016429540950967371, + "loss": 0.8126, + "step": 624 + }, + { + "epoch": 1.4005602240896358, + "grad_norm": 0.32018956542015076, + "learning_rate": 0.0001641454633880978, + "loss": 0.7489, + "step": 625 + }, + { + "epoch": 1.4028011204481792, + "grad_norm": 0.324883371591568, + "learning_rate": 0.0001639952718100589, + "loss": 0.7915, + "step": 626 + }, + { + "epoch": 1.4050420168067226, + "grad_norm": 0.3411893844604492, + "learning_rate": 0.000163844835350274, + "loss": 0.7736, + "step": 627 + }, + { + "epoch": 1.407282913165266, + "grad_norm": 0.3181053400039673, + "learning_rate": 0.0001636941545843973, + "loss": 0.7398, + "step": 628 + }, + { + "epoch": 1.4095238095238094, + "grad_norm": 0.3206365704536438, + "learning_rate": 0.00016354323008901776, + "loss": 0.7825, + "step": 629 + }, + { + "epoch": 1.4117647058823528, + "grad_norm": 0.30065983533859253, + "learning_rate": 0.00016339206244165704, + "loss": 0.714, + "step": 630 + }, + { + "epoch": 1.4140056022408962, + "grad_norm": 0.3132588565349579, + "learning_rate": 0.00016324065222076718, + "loss": 0.8118, + "step": 631 + }, + { + "epoch": 1.4162464985994399, + "grad_norm": 0.3143763840198517, + "learning_rate": 0.00016308900000572851, + "loss": 0.7045, + "step": 632 + }, + { + "epoch": 1.4184873949579833, + "grad_norm": 0.3230004608631134, + "learning_rate": 0.00016293710637684732, + "loss": 0.5901, + "step": 633 + }, + { + "epoch": 1.4207282913165267, + "grad_norm": 0.31268176436424255, + "learning_rate": 0.00016278497191535364, + "loss": 0.7745, + "step": 634 + }, + { + "epoch": 1.42296918767507, + "grad_norm": 0.33265724778175354, + "learning_rate": 0.00016263259720339916, + "loss": 0.7444, + "step": 635 + }, + { + "epoch": 1.4252100840336135, + "grad_norm": 0.32188957929611206, + "learning_rate": 0.00016247998282405485, + "loss": 0.7899, + "step": 636 + }, + { + "epoch": 1.427450980392157, + "grad_norm": 0.3007752001285553, + "learning_rate": 0.0001623271293613088, + "loss": 0.6891, + "step": 637 + }, + { + "epoch": 1.4296918767507003, + "grad_norm": 0.29558807611465454, + "learning_rate": 0.0001621740374000639, + "loss": 0.7253, + "step": 638 + }, + { + "epoch": 1.4319327731092437, + "grad_norm": 0.32872480154037476, + "learning_rate": 0.0001620207075261358, + "loss": 0.7858, + "step": 639 + }, + { + "epoch": 1.4341736694677871, + "grad_norm": 0.30687081813812256, + "learning_rate": 0.00016186714032625035, + "loss": 0.7395, + "step": 640 + }, + { + "epoch": 1.4364145658263305, + "grad_norm": 0.31080397963523865, + "learning_rate": 0.00016171333638804176, + "loss": 0.7491, + "step": 641 + }, + { + "epoch": 1.438655462184874, + "grad_norm": 0.3163350820541382, + "learning_rate": 0.00016155929630004996, + "loss": 0.7222, + "step": 642 + }, + { + "epoch": 1.4408963585434174, + "grad_norm": 0.3228285610675812, + "learning_rate": 0.00016140502065171863, + "loss": 0.722, + "step": 643 + }, + { + "epoch": 1.4431372549019608, + "grad_norm": 0.3150191605091095, + "learning_rate": 0.00016125051003339276, + "loss": 0.8325, + "step": 644 + }, + { + "epoch": 1.4453781512605042, + "grad_norm": 0.2988094687461853, + "learning_rate": 0.00016109576503631646, + "loss": 0.6268, + "step": 645 + }, + { + "epoch": 1.4476190476190476, + "grad_norm": 0.3043825030326843, + "learning_rate": 0.00016094078625263083, + "loss": 0.6615, + "step": 646 + }, + { + "epoch": 1.449859943977591, + "grad_norm": 0.3339695930480957, + "learning_rate": 0.00016078557427537144, + "loss": 0.7564, + "step": 647 + }, + { + "epoch": 1.4521008403361344, + "grad_norm": 0.37711572647094727, + "learning_rate": 0.00016063012969846625, + "loss": 0.8914, + "step": 648 + }, + { + "epoch": 1.4543417366946778, + "grad_norm": 0.3254697322845459, + "learning_rate": 0.0001604744531167332, + "loss": 0.7375, + "step": 649 + }, + { + "epoch": 1.4565826330532212, + "grad_norm": 0.30244678258895874, + "learning_rate": 0.0001603185451258781, + "loss": 0.649, + "step": 650 + }, + { + "epoch": 1.4588235294117646, + "grad_norm": 0.3273305892944336, + "learning_rate": 0.00016016240632249224, + "loss": 0.7635, + "step": 651 + }, + { + "epoch": 1.4610644257703083, + "grad_norm": 0.3089764714241028, + "learning_rate": 0.00016000603730405012, + "loss": 0.7321, + "step": 652 + }, + { + "epoch": 1.4633053221288517, + "grad_norm": 0.3246336579322815, + "learning_rate": 0.00015984943866890718, + "loss": 0.7163, + "step": 653 + }, + { + "epoch": 1.465546218487395, + "grad_norm": 0.29445281624794006, + "learning_rate": 0.00015969261101629742, + "loss": 0.7109, + "step": 654 + }, + { + "epoch": 1.4677871148459385, + "grad_norm": 0.3255884051322937, + "learning_rate": 0.00015953555494633136, + "loss": 0.7698, + "step": 655 + }, + { + "epoch": 1.470028011204482, + "grad_norm": 0.3040069043636322, + "learning_rate": 0.00015937827105999336, + "loss": 0.7155, + "step": 656 + }, + { + "epoch": 1.4722689075630253, + "grad_norm": 0.30603310465812683, + "learning_rate": 0.00015922075995913974, + "loss": 0.7512, + "step": 657 + }, + { + "epoch": 1.4745098039215687, + "grad_norm": 0.3210160732269287, + "learning_rate": 0.00015906302224649615, + "loss": 0.7153, + "step": 658 + }, + { + "epoch": 1.4767507002801121, + "grad_norm": 0.3401980996131897, + "learning_rate": 0.0001589050585256554, + "loss": 0.705, + "step": 659 + }, + { + "epoch": 1.4789915966386555, + "grad_norm": 0.3499704599380493, + "learning_rate": 0.00015874686940107506, + "loss": 0.7966, + "step": 660 + }, + { + "epoch": 1.481232492997199, + "grad_norm": 0.31771430373191833, + "learning_rate": 0.00015858845547807543, + "loss": 0.7383, + "step": 661 + }, + { + "epoch": 1.4834733893557424, + "grad_norm": 0.3159136474132538, + "learning_rate": 0.00015842981736283686, + "loss": 0.6415, + "step": 662 + }, + { + "epoch": 1.4857142857142858, + "grad_norm": 0.3231973946094513, + "learning_rate": 0.0001582709556623976, + "loss": 0.7462, + "step": 663 + }, + { + "epoch": 1.4879551820728292, + "grad_norm": 0.3222534954547882, + "learning_rate": 0.0001581118709846514, + "loss": 0.6833, + "step": 664 + }, + { + "epoch": 1.4901960784313726, + "grad_norm": 0.34087467193603516, + "learning_rate": 0.00015795256393834545, + "loss": 0.7325, + "step": 665 + }, + { + "epoch": 1.492436974789916, + "grad_norm": 0.33144867420196533, + "learning_rate": 0.00015779303513307764, + "loss": 0.7278, + "step": 666 + }, + { + "epoch": 1.4946778711484594, + "grad_norm": 0.3868750035762787, + "learning_rate": 0.0001576332851792945, + "loss": 0.9117, + "step": 667 + }, + { + "epoch": 1.4969187675070028, + "grad_norm": 0.3211595118045807, + "learning_rate": 0.00015747331468828887, + "loss": 0.7015, + "step": 668 + }, + { + "epoch": 1.4991596638655462, + "grad_norm": 0.30169111490249634, + "learning_rate": 0.00015731312427219737, + "loss": 0.8056, + "step": 669 + }, + { + "epoch": 1.5014005602240896, + "grad_norm": 0.30103328824043274, + "learning_rate": 0.0001571527145439983, + "loss": 0.6391, + "step": 670 + }, + { + "epoch": 1.503641456582633, + "grad_norm": 0.3065439462661743, + "learning_rate": 0.00015699208611750902, + "loss": 0.7279, + "step": 671 + }, + { + "epoch": 1.5058823529411764, + "grad_norm": 0.3444465100765228, + "learning_rate": 0.00015683123960738392, + "loss": 0.7274, + "step": 672 + }, + { + "epoch": 1.5081232492997199, + "grad_norm": 0.3165910542011261, + "learning_rate": 0.00015667017562911176, + "loss": 0.6784, + "step": 673 + }, + { + "epoch": 1.5103641456582633, + "grad_norm": 0.3377099335193634, + "learning_rate": 0.00015650889479901356, + "loss": 0.8188, + "step": 674 + }, + { + "epoch": 1.5126050420168067, + "grad_norm": 0.3051726818084717, + "learning_rate": 0.00015634739773424006, + "loss": 0.657, + "step": 675 + }, + { + "epoch": 1.51484593837535, + "grad_norm": 0.3249804675579071, + "learning_rate": 0.00015618568505276946, + "loss": 0.7148, + "step": 676 + }, + { + "epoch": 1.5170868347338935, + "grad_norm": 0.3395232856273651, + "learning_rate": 0.00015602375737340507, + "loss": 0.6749, + "step": 677 + }, + { + "epoch": 1.519327731092437, + "grad_norm": 0.33914825320243835, + "learning_rate": 0.0001558616153157728, + "loss": 0.7133, + "step": 678 + }, + { + "epoch": 1.5215686274509803, + "grad_norm": 0.3608812689781189, + "learning_rate": 0.00015569925950031908, + "loss": 0.7519, + "step": 679 + }, + { + "epoch": 1.5238095238095237, + "grad_norm": 0.37755894660949707, + "learning_rate": 0.00015553669054830805, + "loss": 0.757, + "step": 680 + }, + { + "epoch": 1.5260504201680671, + "grad_norm": 0.313101589679718, + "learning_rate": 0.0001553739090818196, + "loss": 0.7849, + "step": 681 + }, + { + "epoch": 1.5282913165266105, + "grad_norm": 0.2970316410064697, + "learning_rate": 0.0001552109157237468, + "loss": 0.6365, + "step": 682 + }, + { + "epoch": 1.530532212885154, + "grad_norm": 0.3263746201992035, + "learning_rate": 0.00015504771109779348, + "loss": 0.6997, + "step": 683 + }, + { + "epoch": 1.5327731092436974, + "grad_norm": 0.3154606521129608, + "learning_rate": 0.00015488429582847192, + "loss": 0.7298, + "step": 684 + }, + { + "epoch": 1.5350140056022408, + "grad_norm": 0.3260630965232849, + "learning_rate": 0.00015472067054110052, + "loss": 0.7921, + "step": 685 + }, + { + "epoch": 1.5372549019607842, + "grad_norm": 0.32374054193496704, + "learning_rate": 0.00015455683586180116, + "loss": 0.718, + "step": 686 + }, + { + "epoch": 1.5394957983193276, + "grad_norm": 0.3299919366836548, + "learning_rate": 0.00015439279241749715, + "loss": 0.7179, + "step": 687 + }, + { + "epoch": 1.541736694677871, + "grad_norm": 0.32276657223701477, + "learning_rate": 0.0001542285408359105, + "loss": 0.7589, + "step": 688 + }, + { + "epoch": 1.5439775910364144, + "grad_norm": 0.3329083323478699, + "learning_rate": 0.00015406408174555976, + "loss": 0.7549, + "step": 689 + }, + { + "epoch": 1.5462184873949578, + "grad_norm": 0.3457712233066559, + "learning_rate": 0.00015389941577575753, + "loss": 0.7139, + "step": 690 + }, + { + "epoch": 1.5484593837535015, + "grad_norm": 0.3504430949687958, + "learning_rate": 0.00015373454355660802, + "loss": 0.788, + "step": 691 + }, + { + "epoch": 1.5507002801120449, + "grad_norm": 0.3265605866909027, + "learning_rate": 0.00015356946571900464, + "loss": 0.7077, + "step": 692 + }, + { + "epoch": 1.5529411764705883, + "grad_norm": 0.3154314458370209, + "learning_rate": 0.00015340418289462764, + "loss": 0.7, + "step": 693 + }, + { + "epoch": 1.5551820728291317, + "grad_norm": 0.3218802511692047, + "learning_rate": 0.00015323869571594166, + "loss": 0.7735, + "step": 694 + }, + { + "epoch": 1.557422969187675, + "grad_norm": 0.31704089045524597, + "learning_rate": 0.00015307300481619333, + "loss": 0.7946, + "step": 695 + }, + { + "epoch": 1.5596638655462185, + "grad_norm": 0.3201853632926941, + "learning_rate": 0.0001529071108294088, + "loss": 0.7154, + "step": 696 + }, + { + "epoch": 1.561904761904762, + "grad_norm": 0.3154377341270447, + "learning_rate": 0.00015274101439039138, + "loss": 0.6905, + "step": 697 + }, + { + "epoch": 1.5641456582633053, + "grad_norm": 0.30675947666168213, + "learning_rate": 0.00015257471613471906, + "loss": 0.6897, + "step": 698 + }, + { + "epoch": 1.5663865546218487, + "grad_norm": 0.30410274863243103, + "learning_rate": 0.00015240821669874202, + "loss": 0.7181, + "step": 699 + }, + { + "epoch": 1.5686274509803921, + "grad_norm": 0.3099222779273987, + "learning_rate": 0.00015224151671958043, + "loss": 0.732, + "step": 700 + }, + { + "epoch": 1.5708683473389355, + "grad_norm": 0.32526805996894836, + "learning_rate": 0.00015207461683512175, + "loss": 0.7442, + "step": 701 + }, + { + "epoch": 1.573109243697479, + "grad_norm": 0.3597675859928131, + "learning_rate": 0.00015190751768401833, + "loss": 0.7059, + "step": 702 + }, + { + "epoch": 1.5753501400560224, + "grad_norm": 0.34002843499183655, + "learning_rate": 0.00015174021990568517, + "loss": 0.7309, + "step": 703 + }, + { + "epoch": 1.5775910364145658, + "grad_norm": 0.3448459804058075, + "learning_rate": 0.0001515727241402972, + "loss": 0.7543, + "step": 704 + }, + { + "epoch": 1.5798319327731094, + "grad_norm": 0.3388139605522156, + "learning_rate": 0.000151405031028787, + "loss": 0.6604, + "step": 705 + }, + { + "epoch": 1.5820728291316528, + "grad_norm": 0.33875682950019836, + "learning_rate": 0.0001512371412128424, + "loss": 0.7234, + "step": 706 + }, + { + "epoch": 1.5843137254901962, + "grad_norm": 0.3654973804950714, + "learning_rate": 0.00015106905533490372, + "loss": 0.8452, + "step": 707 + }, + { + "epoch": 1.5865546218487396, + "grad_norm": 0.31986573338508606, + "learning_rate": 0.00015090077403816178, + "loss": 0.6683, + "step": 708 + }, + { + "epoch": 1.588795518207283, + "grad_norm": 0.29579469561576843, + "learning_rate": 0.00015073229796655504, + "loss": 0.723, + "step": 709 + }, + { + "epoch": 1.5910364145658265, + "grad_norm": 0.31319934129714966, + "learning_rate": 0.0001505636277647672, + "loss": 0.7384, + "step": 710 + }, + { + "epoch": 1.5932773109243699, + "grad_norm": 0.30319178104400635, + "learning_rate": 0.00015039476407822502, + "loss": 0.7044, + "step": 711 + }, + { + "epoch": 1.5955182072829133, + "grad_norm": 0.3266353905200958, + "learning_rate": 0.0001502257075530954, + "loss": 0.7777, + "step": 712 + }, + { + "epoch": 1.5977591036414567, + "grad_norm": 0.3113664388656616, + "learning_rate": 0.00015005645883628342, + "loss": 0.7394, + "step": 713 + }, + { + "epoch": 1.6, + "grad_norm": 0.29923635721206665, + "learning_rate": 0.00014988701857542933, + "loss": 0.6867, + "step": 714 + }, + { + "epoch": 1.6022408963585435, + "grad_norm": 0.32305604219436646, + "learning_rate": 0.00014971738741890647, + "loss": 0.7512, + "step": 715 + }, + { + "epoch": 1.604481792717087, + "grad_norm": 0.30608245730400085, + "learning_rate": 0.0001495475660158187, + "loss": 0.7076, + "step": 716 + }, + { + "epoch": 1.6067226890756303, + "grad_norm": 0.3273196220397949, + "learning_rate": 0.00014937755501599772, + "loss": 0.7259, + "step": 717 + }, + { + "epoch": 1.6089635854341737, + "grad_norm": 0.3238683342933655, + "learning_rate": 0.0001492073550700009, + "loss": 0.716, + "step": 718 + }, + { + "epoch": 1.6112044817927171, + "grad_norm": 0.3258748948574066, + "learning_rate": 0.00014903696682910846, + "loss": 0.739, + "step": 719 + }, + { + "epoch": 1.6134453781512605, + "grad_norm": 0.32485276460647583, + "learning_rate": 0.00014886639094532128, + "loss": 0.681, + "step": 720 + }, + { + "epoch": 1.615686274509804, + "grad_norm": 0.3358374536037445, + "learning_rate": 0.0001486956280713582, + "loss": 0.7625, + "step": 721 + }, + { + "epoch": 1.6179271708683474, + "grad_norm": 0.30938801169395447, + "learning_rate": 0.00014852467886065357, + "loss": 0.6942, + "step": 722 + }, + { + "epoch": 1.6201680672268908, + "grad_norm": 0.35836121439933777, + "learning_rate": 0.00014835354396735482, + "loss": 0.7397, + "step": 723 + }, + { + "epoch": 1.6224089635854342, + "grad_norm": 0.3162292540073395, + "learning_rate": 0.00014818222404631992, + "loss": 0.7071, + "step": 724 + }, + { + "epoch": 1.6246498599439776, + "grad_norm": 0.32497039437294006, + "learning_rate": 0.0001480107197531148, + "loss": 0.7396, + "step": 725 + }, + { + "epoch": 1.626890756302521, + "grad_norm": 0.33408358693122864, + "learning_rate": 0.00014783903174401085, + "loss": 0.7593, + "step": 726 + }, + { + "epoch": 1.6291316526610644, + "grad_norm": 0.3246319591999054, + "learning_rate": 0.00014766716067598262, + "loss": 0.7302, + "step": 727 + }, + { + "epoch": 1.6313725490196078, + "grad_norm": 0.32565364241600037, + "learning_rate": 0.00014749510720670506, + "loss": 0.8113, + "step": 728 + }, + { + "epoch": 1.6336134453781512, + "grad_norm": 0.32790714502334595, + "learning_rate": 0.00014732287199455103, + "loss": 0.7884, + "step": 729 + }, + { + "epoch": 1.6358543417366946, + "grad_norm": 0.3148501217365265, + "learning_rate": 0.00014715045569858894, + "loss": 0.7214, + "step": 730 + }, + { + "epoch": 1.638095238095238, + "grad_norm": 0.30682241916656494, + "learning_rate": 0.00014697785897858012, + "loss": 0.725, + "step": 731 + }, + { + "epoch": 1.6403361344537815, + "grad_norm": 0.3391934037208557, + "learning_rate": 0.00014680508249497622, + "loss": 0.84, + "step": 732 + }, + { + "epoch": 1.6425770308123249, + "grad_norm": 0.31384411454200745, + "learning_rate": 0.0001466321269089168, + "loss": 0.6867, + "step": 733 + }, + { + "epoch": 1.6448179271708683, + "grad_norm": 0.33052271604537964, + "learning_rate": 0.00014645899288222687, + "loss": 0.7761, + "step": 734 + }, + { + "epoch": 1.6470588235294117, + "grad_norm": 0.3304360806941986, + "learning_rate": 0.00014628568107741407, + "loss": 0.8817, + "step": 735 + }, + { + "epoch": 1.649299719887955, + "grad_norm": 0.34404993057250977, + "learning_rate": 0.0001461121921576665, + "loss": 0.8155, + "step": 736 + }, + { + "epoch": 1.6515406162464985, + "grad_norm": 0.33394402265548706, + "learning_rate": 0.00014593852678684984, + "loss": 0.7656, + "step": 737 + }, + { + "epoch": 1.653781512605042, + "grad_norm": 0.35093650221824646, + "learning_rate": 0.0001457646856295051, + "loss": 0.8171, + "step": 738 + }, + { + "epoch": 1.6560224089635853, + "grad_norm": 0.31678837537765503, + "learning_rate": 0.00014559066935084588, + "loss": 0.7061, + "step": 739 + }, + { + "epoch": 1.6582633053221287, + "grad_norm": 0.3170653283596039, + "learning_rate": 0.00014541647861675592, + "loss": 0.7351, + "step": 740 + }, + { + "epoch": 1.6605042016806721, + "grad_norm": 0.34166768193244934, + "learning_rate": 0.0001452421140937865, + "loss": 0.7937, + "step": 741 + }, + { + "epoch": 1.6627450980392156, + "grad_norm": 0.3269054591655731, + "learning_rate": 0.00014506757644915393, + "loss": 0.8038, + "step": 742 + }, + { + "epoch": 1.664985994397759, + "grad_norm": 0.3237577974796295, + "learning_rate": 0.00014489286635073693, + "loss": 0.657, + "step": 743 + }, + { + "epoch": 1.6672268907563024, + "grad_norm": 0.3239234685897827, + "learning_rate": 0.00014471798446707426, + "loss": 0.6732, + "step": 744 + }, + { + "epoch": 1.6694677871148458, + "grad_norm": 0.30346667766571045, + "learning_rate": 0.00014454293146736187, + "loss": 0.669, + "step": 745 + }, + { + "epoch": 1.6717086834733892, + "grad_norm": 0.32579341530799866, + "learning_rate": 0.00014436770802145059, + "loss": 0.6693, + "step": 746 + }, + { + "epoch": 1.6739495798319328, + "grad_norm": 0.34438079595565796, + "learning_rate": 0.0001441923147998434, + "loss": 0.8594, + "step": 747 + }, + { + "epoch": 1.6761904761904762, + "grad_norm": 0.3287278115749359, + "learning_rate": 0.00014401675247369307, + "loss": 0.7633, + "step": 748 + }, + { + "epoch": 1.6784313725490196, + "grad_norm": 0.34410589933395386, + "learning_rate": 0.0001438410217147993, + "loss": 0.7815, + "step": 749 + }, + { + "epoch": 1.680672268907563, + "grad_norm": 0.4113364815711975, + "learning_rate": 0.0001436651231956064, + "loss": 0.7617, + "step": 750 + }, + { + "epoch": 1.6829131652661065, + "grad_norm": 0.3100757598876953, + "learning_rate": 0.0001434890575892006, + "loss": 0.673, + "step": 751 + }, + { + "epoch": 1.6851540616246499, + "grad_norm": 0.32215428352355957, + "learning_rate": 0.0001433128255693075, + "loss": 0.7694, + "step": 752 + }, + { + "epoch": 1.6873949579831933, + "grad_norm": 0.3526766002178192, + "learning_rate": 0.00014313642781028953, + "loss": 0.7397, + "step": 753 + }, + { + "epoch": 1.6896358543417367, + "grad_norm": 0.3373475968837738, + "learning_rate": 0.00014295986498714326, + "loss": 0.8275, + "step": 754 + }, + { + "epoch": 1.69187675070028, + "grad_norm": 0.32114461064338684, + "learning_rate": 0.0001427831377754969, + "loss": 0.7225, + "step": 755 + }, + { + "epoch": 1.6941176470588235, + "grad_norm": 0.320982426404953, + "learning_rate": 0.00014260624685160777, + "loss": 0.7966, + "step": 756 + }, + { + "epoch": 1.696358543417367, + "grad_norm": 0.28297820687294006, + "learning_rate": 0.0001424291928923596, + "loss": 0.6789, + "step": 757 + }, + { + "epoch": 1.6985994397759103, + "grad_norm": 0.31439271569252014, + "learning_rate": 0.00014225197657525995, + "loss": 0.7194, + "step": 758 + }, + { + "epoch": 1.7008403361344537, + "grad_norm": 0.33543679118156433, + "learning_rate": 0.0001420745985784377, + "loss": 0.8552, + "step": 759 + }, + { + "epoch": 1.7030812324929971, + "grad_norm": 0.33300474286079407, + "learning_rate": 0.0001418970595806404, + "loss": 0.867, + "step": 760 + }, + { + "epoch": 1.7053221288515408, + "grad_norm": 0.3134838938713074, + "learning_rate": 0.00014171936026123168, + "loss": 0.6651, + "step": 761 + }, + { + "epoch": 1.7075630252100842, + "grad_norm": 0.32312485575675964, + "learning_rate": 0.00014154150130018866, + "loss": 0.7978, + "step": 762 + }, + { + "epoch": 1.7098039215686276, + "grad_norm": 0.3270231783390045, + "learning_rate": 0.00014136348337809927, + "loss": 0.7574, + "step": 763 + }, + { + "epoch": 1.712044817927171, + "grad_norm": 0.32470935583114624, + "learning_rate": 0.0001411853071761598, + "loss": 0.6881, + "step": 764 + }, + { + "epoch": 1.7142857142857144, + "grad_norm": 0.3110044300556183, + "learning_rate": 0.00014100697337617217, + "loss": 0.6684, + "step": 765 + }, + { + "epoch": 1.7165266106442578, + "grad_norm": 0.344539076089859, + "learning_rate": 0.00014082848266054135, + "loss": 0.7387, + "step": 766 + }, + { + "epoch": 1.7187675070028012, + "grad_norm": 0.3174740672111511, + "learning_rate": 0.0001406498357122728, + "loss": 0.6459, + "step": 767 + }, + { + "epoch": 1.7210084033613446, + "grad_norm": 0.339348167181015, + "learning_rate": 0.00014047103321496976, + "loss": 0.658, + "step": 768 + }, + { + "epoch": 1.723249299719888, + "grad_norm": 0.3239974081516266, + "learning_rate": 0.0001402920758528307, + "loss": 0.6356, + "step": 769 + }, + { + "epoch": 1.7254901960784315, + "grad_norm": 0.33558371663093567, + "learning_rate": 0.00014011296431064676, + "loss": 0.7531, + "step": 770 + }, + { + "epoch": 1.7277310924369749, + "grad_norm": 0.35468053817749023, + "learning_rate": 0.0001399336992737989, + "loss": 0.783, + "step": 771 + }, + { + "epoch": 1.7299719887955183, + "grad_norm": 0.34820565581321716, + "learning_rate": 0.0001397542814282556, + "loss": 0.7227, + "step": 772 + }, + { + "epoch": 1.7322128851540617, + "grad_norm": 0.3655050992965698, + "learning_rate": 0.00013957471146056998, + "loss": 0.7366, + "step": 773 + }, + { + "epoch": 1.734453781512605, + "grad_norm": 0.3187251389026642, + "learning_rate": 0.00013939499005787736, + "loss": 0.7304, + "step": 774 + }, + { + "epoch": 1.7366946778711485, + "grad_norm": 0.3165695071220398, + "learning_rate": 0.00013921511790789234, + "loss": 0.7757, + "step": 775 + }, + { + "epoch": 1.738935574229692, + "grad_norm": 0.3043893873691559, + "learning_rate": 0.00013903509569890662, + "loss": 0.7689, + "step": 776 + }, + { + "epoch": 1.7411764705882353, + "grad_norm": 0.30263444781303406, + "learning_rate": 0.0001388549241197859, + "loss": 0.6638, + "step": 777 + }, + { + "epoch": 1.7434173669467787, + "grad_norm": 0.3344278931617737, + "learning_rate": 0.00013867460385996754, + "loss": 0.7027, + "step": 778 + }, + { + "epoch": 1.7456582633053221, + "grad_norm": 0.309756338596344, + "learning_rate": 0.00013849413560945787, + "loss": 0.7662, + "step": 779 + }, + { + "epoch": 1.7478991596638656, + "grad_norm": 0.33109283447265625, + "learning_rate": 0.00013831352005882946, + "loss": 0.7888, + "step": 780 + }, + { + "epoch": 1.750140056022409, + "grad_norm": 0.32347214221954346, + "learning_rate": 0.00013813275789921855, + "loss": 0.7313, + "step": 781 + }, + { + "epoch": 1.7523809523809524, + "grad_norm": 0.3274037539958954, + "learning_rate": 0.00013795184982232233, + "loss": 0.779, + "step": 782 + }, + { + "epoch": 1.7546218487394958, + "grad_norm": 0.3241097927093506, + "learning_rate": 0.0001377707965203965, + "loss": 0.744, + "step": 783 + }, + { + "epoch": 1.7568627450980392, + "grad_norm": 0.32738566398620605, + "learning_rate": 0.00013758959868625232, + "loss": 0.7585, + "step": 784 + }, + { + "epoch": 1.7591036414565826, + "grad_norm": 0.3516925275325775, + "learning_rate": 0.00013740825701325418, + "loss": 0.7445, + "step": 785 + }, + { + "epoch": 1.761344537815126, + "grad_norm": 0.33777570724487305, + "learning_rate": 0.00013722677219531683, + "loss": 0.7038, + "step": 786 + }, + { + "epoch": 1.7635854341736694, + "grad_norm": 0.35104092955589294, + "learning_rate": 0.0001370451449269029, + "loss": 0.7527, + "step": 787 + }, + { + "epoch": 1.7658263305322128, + "grad_norm": 0.33028444647789, + "learning_rate": 0.00013686337590301995, + "loss": 0.7227, + "step": 788 + }, + { + "epoch": 1.7680672268907562, + "grad_norm": 0.3553149104118347, + "learning_rate": 0.0001366814658192181, + "loss": 0.6937, + "step": 789 + }, + { + "epoch": 1.7703081232492996, + "grad_norm": 0.32514214515686035, + "learning_rate": 0.0001364994153715872, + "loss": 0.7198, + "step": 790 + }, + { + "epoch": 1.772549019607843, + "grad_norm": 0.3584795892238617, + "learning_rate": 0.00013631722525675412, + "loss": 0.8049, + "step": 791 + }, + { + "epoch": 1.7747899159663865, + "grad_norm": 0.3179537057876587, + "learning_rate": 0.0001361348961718804, + "loss": 0.7795, + "step": 792 + }, + { + "epoch": 1.7770308123249299, + "grad_norm": 0.2919451594352722, + "learning_rate": 0.0001359524288146591, + "loss": 0.6553, + "step": 793 + }, + { + "epoch": 1.7792717086834733, + "grad_norm": 0.31730496883392334, + "learning_rate": 0.0001357698238833126, + "loss": 0.812, + "step": 794 + }, + { + "epoch": 1.7815126050420167, + "grad_norm": 0.31148526072502136, + "learning_rate": 0.00013558708207658948, + "loss": 0.6558, + "step": 795 + }, + { + "epoch": 1.78375350140056, + "grad_norm": 0.3431221544742584, + "learning_rate": 0.00013540420409376236, + "loss": 0.766, + "step": 796 + }, + { + "epoch": 1.7859943977591035, + "grad_norm": 0.32656344771385193, + "learning_rate": 0.00013522119063462482, + "loss": 0.744, + "step": 797 + }, + { + "epoch": 1.788235294117647, + "grad_norm": 0.3525942862033844, + "learning_rate": 0.00013503804239948874, + "loss": 0.7954, + "step": 798 + }, + { + "epoch": 1.7904761904761903, + "grad_norm": 0.3282519280910492, + "learning_rate": 0.00013485476008918184, + "loss": 0.72, + "step": 799 + }, + { + "epoch": 1.7927170868347337, + "grad_norm": 0.3348991870880127, + "learning_rate": 0.00013467134440504495, + "loss": 0.6925, + "step": 800 + }, + { + "epoch": 1.7949579831932772, + "grad_norm": 0.325764000415802, + "learning_rate": 0.00013448779604892917, + "loss": 0.7261, + "step": 801 + }, + { + "epoch": 1.7971988795518208, + "grad_norm": 0.33784714341163635, + "learning_rate": 0.00013430411572319323, + "loss": 0.7637, + "step": 802 + }, + { + "epoch": 1.7994397759103642, + "grad_norm": 0.31615525484085083, + "learning_rate": 0.00013412030413070095, + "loss": 0.649, + "step": 803 + }, + { + "epoch": 1.8016806722689076, + "grad_norm": 0.30358991026878357, + "learning_rate": 0.00013393636197481842, + "loss": 0.6566, + "step": 804 + }, + { + "epoch": 1.803921568627451, + "grad_norm": 0.3021032512187958, + "learning_rate": 0.00013375228995941133, + "loss": 0.7694, + "step": 805 + }, + { + "epoch": 1.8061624649859944, + "grad_norm": 0.3464861810207367, + "learning_rate": 0.00013356808878884228, + "loss": 0.7604, + "step": 806 + }, + { + "epoch": 1.8084033613445378, + "grad_norm": 0.3448963165283203, + "learning_rate": 0.00013338375916796812, + "loss": 0.7434, + "step": 807 + }, + { + "epoch": 1.8106442577030812, + "grad_norm": 0.3179613947868347, + "learning_rate": 0.00013319930180213712, + "loss": 0.6885, + "step": 808 + }, + { + "epoch": 1.8128851540616246, + "grad_norm": 0.31533604860305786, + "learning_rate": 0.0001330147173971866, + "loss": 0.6736, + "step": 809 + }, + { + "epoch": 1.815126050420168, + "grad_norm": 0.3316449224948883, + "learning_rate": 0.00013283000665943972, + "loss": 0.7354, + "step": 810 + }, + { + "epoch": 1.8173669467787115, + "grad_norm": 0.3497374951839447, + "learning_rate": 0.00013264517029570324, + "loss": 0.7956, + "step": 811 + }, + { + "epoch": 1.8196078431372549, + "grad_norm": 0.33198150992393494, + "learning_rate": 0.00013246020901326464, + "loss": 0.7105, + "step": 812 + }, + { + "epoch": 1.8218487394957983, + "grad_norm": 0.3188040554523468, + "learning_rate": 0.00013227512351988925, + "loss": 0.7141, + "step": 813 + }, + { + "epoch": 1.8240896358543417, + "grad_norm": 0.30372536182403564, + "learning_rate": 0.00013208991452381798, + "loss": 0.7223, + "step": 814 + }, + { + "epoch": 1.826330532212885, + "grad_norm": 0.6289974451065063, + "learning_rate": 0.00013190458273376404, + "loss": 0.7972, + "step": 815 + }, + { + "epoch": 1.8285714285714287, + "grad_norm": 0.3201170563697815, + "learning_rate": 0.00013171912885891063, + "loss": 0.7433, + "step": 816 + }, + { + "epoch": 1.8308123249299721, + "grad_norm": 0.35013505816459656, + "learning_rate": 0.00013153355360890815, + "loss": 0.7361, + "step": 817 + }, + { + "epoch": 1.8330532212885156, + "grad_norm": 0.34328508377075195, + "learning_rate": 0.00013134785769387147, + "loss": 0.7031, + "step": 818 + }, + { + "epoch": 1.835294117647059, + "grad_norm": 0.3286396265029907, + "learning_rate": 0.0001311620418243771, + "loss": 0.7657, + "step": 819 + }, + { + "epoch": 1.8375350140056024, + "grad_norm": 0.3106536567211151, + "learning_rate": 0.00013097610671146065, + "loss": 0.7554, + "step": 820 + }, + { + "epoch": 1.8397759103641458, + "grad_norm": 0.3301306366920471, + "learning_rate": 0.0001307900530666139, + "loss": 0.7126, + "step": 821 + }, + { + "epoch": 1.8420168067226892, + "grad_norm": 0.34890398383140564, + "learning_rate": 0.00013060388160178235, + "loss": 0.7953, + "step": 822 + }, + { + "epoch": 1.8442577030812326, + "grad_norm": 0.31672972440719604, + "learning_rate": 0.0001304175930293623, + "loss": 0.7359, + "step": 823 + }, + { + "epoch": 1.846498599439776, + "grad_norm": 0.3178110122680664, + "learning_rate": 0.0001302311880621981, + "loss": 0.7662, + "step": 824 + }, + { + "epoch": 1.8487394957983194, + "grad_norm": 0.35035309195518494, + "learning_rate": 0.0001300446674135795, + "loss": 0.7105, + "step": 825 + }, + { + "epoch": 1.8509803921568628, + "grad_norm": 0.3116212785243988, + "learning_rate": 0.00012985803179723903, + "loss": 0.7424, + "step": 826 + }, + { + "epoch": 1.8532212885154062, + "grad_norm": 0.34882014989852905, + "learning_rate": 0.00012967128192734902, + "loss": 0.7574, + "step": 827 + }, + { + "epoch": 1.8554621848739496, + "grad_norm": 0.31585201621055603, + "learning_rate": 0.0001294844185185191, + "loss": 0.805, + "step": 828 + }, + { + "epoch": 1.857703081232493, + "grad_norm": 0.314979612827301, + "learning_rate": 0.00012929744228579323, + "loss": 0.5924, + "step": 829 + }, + { + "epoch": 1.8599439775910365, + "grad_norm": 0.3267279863357544, + "learning_rate": 0.00012911035394464723, + "loss": 0.763, + "step": 830 + }, + { + "epoch": 1.8621848739495799, + "grad_norm": 0.3523454964160919, + "learning_rate": 0.00012892315421098586, + "loss": 0.8221, + "step": 831 + }, + { + "epoch": 1.8644257703081233, + "grad_norm": 0.31915390491485596, + "learning_rate": 0.00012873584380114012, + "loss": 0.8081, + "step": 832 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 0.32959550619125366, + "learning_rate": 0.00012854842343186455, + "loss": 0.7208, + "step": 833 + }, + { + "epoch": 1.86890756302521, + "grad_norm": 0.32218843698501587, + "learning_rate": 0.0001283608938203344, + "loss": 0.7514, + "step": 834 + }, + { + "epoch": 1.8711484593837535, + "grad_norm": 0.3358590602874756, + "learning_rate": 0.00012817325568414297, + "loss": 0.7401, + "step": 835 + }, + { + "epoch": 1.873389355742297, + "grad_norm": 0.3331390917301178, + "learning_rate": 0.00012798550974129887, + "loss": 0.6833, + "step": 836 + }, + { + "epoch": 1.8756302521008403, + "grad_norm": 0.33320388197898865, + "learning_rate": 0.00012779765671022325, + "loss": 0.6287, + "step": 837 + }, + { + "epoch": 1.8778711484593837, + "grad_norm": 0.3285226821899414, + "learning_rate": 0.00012760969730974694, + "loss": 0.6698, + "step": 838 + }, + { + "epoch": 1.8801120448179272, + "grad_norm": 0.3503000736236572, + "learning_rate": 0.0001274216322591078, + "loss": 0.6997, + "step": 839 + }, + { + "epoch": 1.8823529411764706, + "grad_norm": 0.35233861207962036, + "learning_rate": 0.00012723346227794816, + "loss": 0.7241, + "step": 840 + }, + { + "epoch": 1.884593837535014, + "grad_norm": 0.3368009924888611, + "learning_rate": 0.00012704518808631166, + "loss": 0.7379, + "step": 841 + }, + { + "epoch": 1.8868347338935574, + "grad_norm": 0.3214666247367859, + "learning_rate": 0.0001268568104046408, + "loss": 0.6946, + "step": 842 + }, + { + "epoch": 1.8890756302521008, + "grad_norm": 0.3163416385650635, + "learning_rate": 0.0001266683299537741, + "loss": 0.7044, + "step": 843 + }, + { + "epoch": 1.8913165266106442, + "grad_norm": 0.3129757046699524, + "learning_rate": 0.0001264797474549433, + "loss": 0.6105, + "step": 844 + }, + { + "epoch": 1.8935574229691876, + "grad_norm": 0.35761409997940063, + "learning_rate": 0.00012629106362977064, + "loss": 0.8279, + "step": 845 + }, + { + "epoch": 1.895798319327731, + "grad_norm": 0.3365795314311981, + "learning_rate": 0.00012610227920026608, + "loss": 0.6859, + "step": 846 + }, + { + "epoch": 1.8980392156862744, + "grad_norm": 0.3187201917171478, + "learning_rate": 0.00012591339488882456, + "loss": 0.6907, + "step": 847 + }, + { + "epoch": 1.9002801120448178, + "grad_norm": 0.31638118624687195, + "learning_rate": 0.0001257244114182232, + "loss": 0.7243, + "step": 848 + }, + { + "epoch": 1.9025210084033612, + "grad_norm": 0.34840863943099976, + "learning_rate": 0.0001255353295116187, + "loss": 0.687, + "step": 849 + }, + { + "epoch": 1.9047619047619047, + "grad_norm": 0.3138674199581146, + "learning_rate": 0.00012534614989254423, + "loss": 0.7198, + "step": 850 + }, + { + "epoch": 1.907002801120448, + "grad_norm": 0.362076997756958, + "learning_rate": 0.00012515687328490695, + "loss": 0.7757, + "step": 851 + }, + { + "epoch": 1.9092436974789915, + "grad_norm": 0.32191118597984314, + "learning_rate": 0.00012496750041298516, + "loss": 0.7103, + "step": 852 + }, + { + "epoch": 1.9114845938375349, + "grad_norm": 0.3364141583442688, + "learning_rate": 0.0001247780320014255, + "loss": 0.7509, + "step": 853 + }, + { + "epoch": 1.9137254901960783, + "grad_norm": 0.35079094767570496, + "learning_rate": 0.00012458846877524024, + "loss": 0.6844, + "step": 854 + }, + { + "epoch": 1.9159663865546217, + "grad_norm": 0.33669090270996094, + "learning_rate": 0.00012439881145980444, + "loss": 0.6801, + "step": 855 + }, + { + "epoch": 1.9182072829131651, + "grad_norm": 0.31381383538246155, + "learning_rate": 0.00012420906078085316, + "loss": 0.6341, + "step": 856 + }, + { + "epoch": 1.9204481792717085, + "grad_norm": 0.3355211615562439, + "learning_rate": 0.00012401921746447872, + "loss": 0.7244, + "step": 857 + }, + { + "epoch": 1.9226890756302522, + "grad_norm": 0.3467940092086792, + "learning_rate": 0.00012382928223712806, + "loss": 0.7195, + "step": 858 + }, + { + "epoch": 1.9249299719887956, + "grad_norm": 0.33815139532089233, + "learning_rate": 0.00012363925582559968, + "loss": 0.704, + "step": 859 + }, + { + "epoch": 1.927170868347339, + "grad_norm": 0.315331369638443, + "learning_rate": 0.00012344913895704097, + "loss": 0.6618, + "step": 860 + }, + { + "epoch": 1.9294117647058824, + "grad_norm": 0.3420298099517822, + "learning_rate": 0.00012325893235894564, + "loss": 0.7005, + "step": 861 + }, + { + "epoch": 1.9316526610644258, + "grad_norm": 0.33387431502342224, + "learning_rate": 0.00012306863675915056, + "loss": 0.8085, + "step": 862 + }, + { + "epoch": 1.9338935574229692, + "grad_norm": 0.35296881198883057, + "learning_rate": 0.0001228782528858333, + "loss": 0.7798, + "step": 863 + }, + { + "epoch": 1.9361344537815126, + "grad_norm": 0.3383727967739105, + "learning_rate": 0.00012268778146750915, + "loss": 0.6835, + "step": 864 + }, + { + "epoch": 1.938375350140056, + "grad_norm": 0.33279767632484436, + "learning_rate": 0.00012249722323302842, + "loss": 0.7388, + "step": 865 + }, + { + "epoch": 1.9406162464985994, + "grad_norm": 0.3255688548088074, + "learning_rate": 0.00012230657891157363, + "loss": 0.7167, + "step": 866 + }, + { + "epoch": 1.9428571428571428, + "grad_norm": 0.34093961119651794, + "learning_rate": 0.00012211584923265672, + "loss": 0.7139, + "step": 867 + }, + { + "epoch": 1.9450980392156862, + "grad_norm": 0.3231501281261444, + "learning_rate": 0.00012192503492611625, + "loss": 0.6996, + "step": 868 + }, + { + "epoch": 1.9473389355742297, + "grad_norm": 0.3145335614681244, + "learning_rate": 0.00012173413672211458, + "loss": 0.7754, + "step": 869 + }, + { + "epoch": 1.949579831932773, + "grad_norm": 0.32647013664245605, + "learning_rate": 0.00012154315535113511, + "loss": 0.6923, + "step": 870 + }, + { + "epoch": 1.9518207282913165, + "grad_norm": 0.3004699647426605, + "learning_rate": 0.00012135209154397962, + "loss": 0.6856, + "step": 871 + }, + { + "epoch": 1.95406162464986, + "grad_norm": 0.33689776062965393, + "learning_rate": 0.00012116094603176513, + "loss": 0.7621, + "step": 872 + }, + { + "epoch": 1.9563025210084035, + "grad_norm": 0.30934080481529236, + "learning_rate": 0.00012096971954592145, + "loss": 0.7126, + "step": 873 + }, + { + "epoch": 1.958543417366947, + "grad_norm": 0.346757173538208, + "learning_rate": 0.00012077841281818816, + "loss": 0.708, + "step": 874 + }, + { + "epoch": 1.9607843137254903, + "grad_norm": 0.3257780075073242, + "learning_rate": 0.00012058702658061197, + "loss": 0.6621, + "step": 875 + }, + { + "epoch": 1.9630252100840337, + "grad_norm": 0.3402419090270996, + "learning_rate": 0.0001203955615655438, + "loss": 0.7003, + "step": 876 + }, + { + "epoch": 1.9652661064425772, + "grad_norm": 0.3437844514846802, + "learning_rate": 0.00012020401850563596, + "loss": 0.7469, + "step": 877 + }, + { + "epoch": 1.9675070028011206, + "grad_norm": 0.3671571612358093, + "learning_rate": 0.00012001239813383951, + "loss": 0.785, + "step": 878 + }, + { + "epoch": 1.969747899159664, + "grad_norm": 0.32898640632629395, + "learning_rate": 0.00011982070118340127, + "loss": 0.7292, + "step": 879 + }, + { + "epoch": 1.9719887955182074, + "grad_norm": 0.3525889217853546, + "learning_rate": 0.00011962892838786115, + "loss": 0.7226, + "step": 880 + }, + { + "epoch": 1.9742296918767508, + "grad_norm": 0.33842483162879944, + "learning_rate": 0.00011943708048104922, + "loss": 0.6483, + "step": 881 + }, + { + "epoch": 1.9764705882352942, + "grad_norm": 0.3088597357273102, + "learning_rate": 0.000119245158197083, + "loss": 0.6449, + "step": 882 + }, + { + "epoch": 1.9787114845938376, + "grad_norm": 0.32097896933555603, + "learning_rate": 0.00011905316227036465, + "loss": 0.7823, + "step": 883 + }, + { + "epoch": 1.980952380952381, + "grad_norm": 0.316945880651474, + "learning_rate": 0.00011886109343557808, + "loss": 0.6802, + "step": 884 + }, + { + "epoch": 1.9831932773109244, + "grad_norm": 0.3052690327167511, + "learning_rate": 0.00011866895242768621, + "loss": 0.6601, + "step": 885 + }, + { + "epoch": 1.9854341736694678, + "grad_norm": 0.3162146210670471, + "learning_rate": 0.00011847673998192815, + "loss": 0.7377, + "step": 886 + }, + { + "epoch": 1.9876750700280112, + "grad_norm": 0.3386717736721039, + "learning_rate": 0.00011828445683381628, + "loss": 0.7741, + "step": 887 + }, + { + "epoch": 1.9899159663865547, + "grad_norm": 0.36137786507606506, + "learning_rate": 0.00011809210371913368, + "loss": 0.765, + "step": 888 + }, + { + "epoch": 1.992156862745098, + "grad_norm": 0.37440425157546997, + "learning_rate": 0.00011789968137393108, + "loss": 0.7596, + "step": 889 + }, + { + "epoch": 1.9943977591036415, + "grad_norm": 0.36767804622650146, + "learning_rate": 0.00011770719053452407, + "loss": 0.761, + "step": 890 + }, + { + "epoch": 1.9966386554621849, + "grad_norm": 0.39699792861938477, + "learning_rate": 0.00011751463193749044, + "loss": 0.7781, + "step": 891 + }, + { + "epoch": 1.9988795518207283, + "grad_norm": 0.35793137550354004, + "learning_rate": 0.00011732200631966716, + "loss": 0.7117, + "step": 892 + }, + { + "epoch": 2.0011204481792717, + "grad_norm": 0.3200768828392029, + "learning_rate": 0.00011712931441814776, + "loss": 0.5798, + "step": 893 + }, + { + "epoch": 2.003361344537815, + "grad_norm": 0.3186042308807373, + "learning_rate": 0.00011693655697027934, + "loss": 0.5207, + "step": 894 + }, + { + "epoch": 2.0056022408963585, + "grad_norm": 0.3172122538089752, + "learning_rate": 0.00011674373471365987, + "loss": 0.6287, + "step": 895 + }, + { + "epoch": 2.007843137254902, + "grad_norm": 0.31914347410202026, + "learning_rate": 0.00011655084838613519, + "loss": 0.5249, + "step": 896 + }, + { + "epoch": 2.0100840336134453, + "grad_norm": 0.33173030614852905, + "learning_rate": 0.00011635789872579647, + "loss": 0.5942, + "step": 897 + }, + { + "epoch": 2.0123249299719888, + "grad_norm": 0.32792940735816956, + "learning_rate": 0.00011616488647097718, + "loss": 0.5245, + "step": 898 + }, + { + "epoch": 2.014565826330532, + "grad_norm": 0.3804270625114441, + "learning_rate": 0.00011597181236025023, + "loss": 0.5439, + "step": 899 + }, + { + "epoch": 2.0168067226890756, + "grad_norm": 0.387532114982605, + "learning_rate": 0.00011577867713242531, + "loss": 0.5392, + "step": 900 + }, + { + "epoch": 2.019047619047619, + "grad_norm": 0.4034246504306793, + "learning_rate": 0.00011558548152654596, + "loss": 0.6632, + "step": 901 + }, + { + "epoch": 2.0212885154061624, + "grad_norm": 0.367631733417511, + "learning_rate": 0.00011539222628188675, + "loss": 0.483, + "step": 902 + }, + { + "epoch": 2.023529411764706, + "grad_norm": 0.3613899052143097, + "learning_rate": 0.00011519891213795049, + "loss": 0.5233, + "step": 903 + }, + { + "epoch": 2.025770308123249, + "grad_norm": 0.3706178665161133, + "learning_rate": 0.00011500553983446527, + "loss": 0.5169, + "step": 904 + }, + { + "epoch": 2.0280112044817926, + "grad_norm": 0.349579781293869, + "learning_rate": 0.00011481211011138188, + "loss": 0.5005, + "step": 905 + }, + { + "epoch": 2.030252100840336, + "grad_norm": 0.3860476016998291, + "learning_rate": 0.00011461862370887076, + "loss": 0.4231, + "step": 906 + }, + { + "epoch": 2.0324929971988794, + "grad_norm": 0.3320625424385071, + "learning_rate": 0.00011442508136731918, + "loss": 0.454, + "step": 907 + }, + { + "epoch": 2.034733893557423, + "grad_norm": 0.37210145592689514, + "learning_rate": 0.00011423148382732853, + "loss": 0.5261, + "step": 908 + }, + { + "epoch": 2.0369747899159663, + "grad_norm": 0.3801030218601227, + "learning_rate": 0.00011403783182971144, + "loss": 0.4948, + "step": 909 + }, + { + "epoch": 2.0392156862745097, + "grad_norm": 0.3721443712711334, + "learning_rate": 0.00011384412611548886, + "loss": 0.5317, + "step": 910 + }, + { + "epoch": 2.041456582633053, + "grad_norm": 0.3912367522716522, + "learning_rate": 0.00011365036742588739, + "loss": 0.5498, + "step": 911 + }, + { + "epoch": 2.0436974789915965, + "grad_norm": 0.3820691704750061, + "learning_rate": 0.0001134565565023362, + "loss": 0.505, + "step": 912 + }, + { + "epoch": 2.04593837535014, + "grad_norm": 0.38775426149368286, + "learning_rate": 0.00011326269408646444, + "loss": 0.5591, + "step": 913 + }, + { + "epoch": 2.0481792717086833, + "grad_norm": 0.3893496096134186, + "learning_rate": 0.00011306878092009828, + "loss": 0.4718, + "step": 914 + }, + { + "epoch": 2.0504201680672267, + "grad_norm": 0.41591331362724304, + "learning_rate": 0.0001128748177452581, + "loss": 0.4804, + "step": 915 + }, + { + "epoch": 2.05266106442577, + "grad_norm": 0.428853839635849, + "learning_rate": 0.00011268080530415557, + "loss": 0.5182, + "step": 916 + }, + { + "epoch": 2.0549019607843135, + "grad_norm": 0.4089893698692322, + "learning_rate": 0.00011248674433919097, + "loss": 0.5354, + "step": 917 + }, + { + "epoch": 2.057142857142857, + "grad_norm": 0.4228387773036957, + "learning_rate": 0.00011229263559295021, + "loss": 0.5265, + "step": 918 + }, + { + "epoch": 2.0593837535014003, + "grad_norm": 0.35249876976013184, + "learning_rate": 0.00011209847980820208, + "loss": 0.4888, + "step": 919 + }, + { + "epoch": 2.0616246498599438, + "grad_norm": 0.3890874683856964, + "learning_rate": 0.00011190427772789529, + "loss": 0.5673, + "step": 920 + }, + { + "epoch": 2.063865546218487, + "grad_norm": 0.3728325366973877, + "learning_rate": 0.00011171003009515578, + "loss": 0.5417, + "step": 921 + }, + { + "epoch": 2.066106442577031, + "grad_norm": 0.34896883368492126, + "learning_rate": 0.00011151573765328373, + "loss": 0.5229, + "step": 922 + }, + { + "epoch": 2.0683473389355744, + "grad_norm": 0.3686348795890808, + "learning_rate": 0.00011132140114575085, + "loss": 0.5064, + "step": 923 + }, + { + "epoch": 2.070588235294118, + "grad_norm": 0.37526431679725647, + "learning_rate": 0.00011112702131619746, + "loss": 0.5321, + "step": 924 + }, + { + "epoch": 2.0728291316526612, + "grad_norm": 0.36911851167678833, + "learning_rate": 0.00011093259890842962, + "loss": 0.5587, + "step": 925 + }, + { + "epoch": 2.0750700280112047, + "grad_norm": 0.37566208839416504, + "learning_rate": 0.00011073813466641632, + "loss": 0.4848, + "step": 926 + }, + { + "epoch": 2.077310924369748, + "grad_norm": 0.36949753761291504, + "learning_rate": 0.00011054362933428666, + "loss": 0.4581, + "step": 927 + }, + { + "epoch": 2.0795518207282915, + "grad_norm": 0.3933381140232086, + "learning_rate": 0.00011034908365632695, + "loss": 0.5107, + "step": 928 + }, + { + "epoch": 2.081792717086835, + "grad_norm": 0.4068252742290497, + "learning_rate": 0.00011015449837697791, + "loss": 0.576, + "step": 929 + }, + { + "epoch": 2.0840336134453783, + "grad_norm": 0.3985835015773773, + "learning_rate": 0.00010995987424083178, + "loss": 0.53, + "step": 930 + }, + { + "epoch": 2.0862745098039217, + "grad_norm": 0.404930055141449, + "learning_rate": 0.00010976521199262945, + "loss": 0.4857, + "step": 931 + }, + { + "epoch": 2.088515406162465, + "grad_norm": 0.4016098082065582, + "learning_rate": 0.00010957051237725775, + "loss": 0.5401, + "step": 932 + }, + { + "epoch": 2.0907563025210085, + "grad_norm": 0.4225110113620758, + "learning_rate": 0.00010937577613974641, + "loss": 0.518, + "step": 933 + }, + { + "epoch": 2.092997198879552, + "grad_norm": 0.409502238035202, + "learning_rate": 0.00010918100402526532, + "loss": 0.5052, + "step": 934 + }, + { + "epoch": 2.0952380952380953, + "grad_norm": 0.4569055736064911, + "learning_rate": 0.00010898619677912165, + "loss": 0.5265, + "step": 935 + }, + { + "epoch": 2.0974789915966388, + "grad_norm": 0.3866918087005615, + "learning_rate": 0.00010879135514675705, + "loss": 0.484, + "step": 936 + }, + { + "epoch": 2.099719887955182, + "grad_norm": 0.3866770267486572, + "learning_rate": 0.00010859647987374467, + "loss": 0.5016, + "step": 937 + }, + { + "epoch": 2.1019607843137256, + "grad_norm": 0.6051259636878967, + "learning_rate": 0.00010840157170578644, + "loss": 0.5076, + "step": 938 + }, + { + "epoch": 2.104201680672269, + "grad_norm": 0.8082510828971863, + "learning_rate": 0.00010820663138871017, + "loss": 0.5766, + "step": 939 + }, + { + "epoch": 2.1064425770308124, + "grad_norm": 0.38558223843574524, + "learning_rate": 0.00010801165966846663, + "loss": 0.4923, + "step": 940 + }, + { + "epoch": 2.108683473389356, + "grad_norm": 0.3915948271751404, + "learning_rate": 0.00010781665729112687, + "loss": 0.4829, + "step": 941 + }, + { + "epoch": 2.110924369747899, + "grad_norm": 0.39486053586006165, + "learning_rate": 0.00010762162500287915, + "loss": 0.4444, + "step": 942 + }, + { + "epoch": 2.1131652661064426, + "grad_norm": 0.4007076919078827, + "learning_rate": 0.00010742656355002622, + "loss": 0.5095, + "step": 943 + }, + { + "epoch": 2.115406162464986, + "grad_norm": 0.38552355766296387, + "learning_rate": 0.00010723147367898243, + "loss": 0.4971, + "step": 944 + }, + { + "epoch": 2.1176470588235294, + "grad_norm": 0.39927443861961365, + "learning_rate": 0.00010703635613627083, + "loss": 0.4723, + "step": 945 + }, + { + "epoch": 2.119887955182073, + "grad_norm": 0.4161412715911865, + "learning_rate": 0.0001068412116685205, + "loss": 0.5383, + "step": 946 + }, + { + "epoch": 2.1221288515406163, + "grad_norm": 0.41281387209892273, + "learning_rate": 0.00010664604102246336, + "loss": 0.5495, + "step": 947 + }, + { + "epoch": 2.1243697478991597, + "grad_norm": 0.4148519039154053, + "learning_rate": 0.00010645084494493165, + "loss": 0.507, + "step": 948 + }, + { + "epoch": 2.126610644257703, + "grad_norm": 0.3995266556739807, + "learning_rate": 0.00010625562418285482, + "loss": 0.5555, + "step": 949 + }, + { + "epoch": 2.1288515406162465, + "grad_norm": 0.37733468413352966, + "learning_rate": 0.00010606037948325687, + "loss": 0.4587, + "step": 950 + }, + { + "epoch": 2.13109243697479, + "grad_norm": 0.4213622212409973, + "learning_rate": 0.00010586511159325332, + "loss": 0.4619, + "step": 951 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 0.4159161448478699, + "learning_rate": 0.00010566982126004847, + "loss": 0.4313, + "step": 952 + }, + { + "epoch": 2.1355742296918767, + "grad_norm": 0.39115792512893677, + "learning_rate": 0.00010547450923093247, + "loss": 0.4614, + "step": 953 + }, + { + "epoch": 2.13781512605042, + "grad_norm": 0.41564685106277466, + "learning_rate": 0.0001052791762532786, + "loss": 0.4961, + "step": 954 + }, + { + "epoch": 2.1400560224089635, + "grad_norm": 0.43851983547210693, + "learning_rate": 0.00010508382307454012, + "loss": 0.5061, + "step": 955 + }, + { + "epoch": 2.142296918767507, + "grad_norm": 0.4009677469730377, + "learning_rate": 0.00010488845044224773, + "loss": 0.4842, + "step": 956 + }, + { + "epoch": 2.1445378151260504, + "grad_norm": 0.3707684278488159, + "learning_rate": 0.0001046930591040065, + "loss": 0.4427, + "step": 957 + }, + { + "epoch": 2.1467787114845938, + "grad_norm": 0.41808104515075684, + "learning_rate": 0.00010449764980749317, + "loss": 0.5344, + "step": 958 + }, + { + "epoch": 2.149019607843137, + "grad_norm": 0.3968338668346405, + "learning_rate": 0.00010430222330045304, + "loss": 0.4834, + "step": 959 + }, + { + "epoch": 2.1512605042016806, + "grad_norm": 0.4360380172729492, + "learning_rate": 0.00010410678033069745, + "loss": 0.5652, + "step": 960 + }, + { + "epoch": 2.153501400560224, + "grad_norm": 0.3921569883823395, + "learning_rate": 0.0001039113216461006, + "loss": 0.5277, + "step": 961 + }, + { + "epoch": 2.1557422969187674, + "grad_norm": 0.3638018071651459, + "learning_rate": 0.00010371584799459684, + "loss": 0.4433, + "step": 962 + }, + { + "epoch": 2.157983193277311, + "grad_norm": 0.41490018367767334, + "learning_rate": 0.00010352036012417787, + "loss": 0.5051, + "step": 963 + }, + { + "epoch": 2.160224089635854, + "grad_norm": 0.40135008096694946, + "learning_rate": 0.00010332485878288976, + "loss": 0.5134, + "step": 964 + }, + { + "epoch": 2.1624649859943976, + "grad_norm": 0.43049126863479614, + "learning_rate": 0.00010312934471883007, + "loss": 0.4991, + "step": 965 + }, + { + "epoch": 2.164705882352941, + "grad_norm": 0.426323264837265, + "learning_rate": 0.0001029338186801451, + "loss": 0.4926, + "step": 966 + }, + { + "epoch": 2.1669467787114844, + "grad_norm": 0.4975692629814148, + "learning_rate": 0.00010273828141502701, + "loss": 0.5008, + "step": 967 + }, + { + "epoch": 2.169187675070028, + "grad_norm": 0.4585362374782562, + "learning_rate": 0.00010254273367171085, + "loss": 0.5372, + "step": 968 + }, + { + "epoch": 2.1714285714285713, + "grad_norm": 0.4774106740951538, + "learning_rate": 0.0001023471761984718, + "loss": 0.5576, + "step": 969 + }, + { + "epoch": 2.1736694677871147, + "grad_norm": 0.38876253366470337, + "learning_rate": 0.00010215160974362223, + "loss": 0.5064, + "step": 970 + }, + { + "epoch": 2.175910364145658, + "grad_norm": 0.39690589904785156, + "learning_rate": 0.00010195603505550892, + "loss": 0.4827, + "step": 971 + }, + { + "epoch": 2.1781512605042015, + "grad_norm": 0.38885483145713806, + "learning_rate": 0.00010176045288251015, + "loss": 0.5288, + "step": 972 + }, + { + "epoch": 2.180392156862745, + "grad_norm": 0.4034357964992523, + "learning_rate": 0.00010156486397303284, + "loss": 0.4972, + "step": 973 + }, + { + "epoch": 2.1826330532212883, + "grad_norm": 0.4167933762073517, + "learning_rate": 0.00010136926907550967, + "loss": 0.4697, + "step": 974 + }, + { + "epoch": 2.184873949579832, + "grad_norm": 0.43337056040763855, + "learning_rate": 0.00010117366893839625, + "loss": 0.6123, + "step": 975 + }, + { + "epoch": 2.1871148459383756, + "grad_norm": 0.4040941298007965, + "learning_rate": 0.00010097806431016826, + "loss": 0.5713, + "step": 976 + }, + { + "epoch": 2.189355742296919, + "grad_norm": 0.3885524272918701, + "learning_rate": 0.00010078245593931852, + "loss": 0.4791, + "step": 977 + }, + { + "epoch": 2.1915966386554624, + "grad_norm": 0.4015814960002899, + "learning_rate": 0.0001005868445743542, + "loss": 0.5125, + "step": 978 + }, + { + "epoch": 2.193837535014006, + "grad_norm": 0.38841763138771057, + "learning_rate": 0.00010039123096379387, + "loss": 0.5713, + "step": 979 + }, + { + "epoch": 2.196078431372549, + "grad_norm": 0.42656928300857544, + "learning_rate": 0.00010019561585616486, + "loss": 0.5685, + "step": 980 + }, + { + "epoch": 2.1983193277310926, + "grad_norm": 0.40539607405662537, + "learning_rate": 0.0001, + "loss": 0.5409, + "step": 981 + }, + { + "epoch": 2.200560224089636, + "grad_norm": 0.38911890983581543, + "learning_rate": 9.980438414383517e-05, + "loss": 0.4751, + "step": 982 + }, + { + "epoch": 2.2028011204481794, + "grad_norm": 0.4134393632411957, + "learning_rate": 9.960876903620613e-05, + "loss": 0.4815, + "step": 983 + }, + { + "epoch": 2.205042016806723, + "grad_norm": 0.4219866096973419, + "learning_rate": 9.941315542564582e-05, + "loss": 0.4524, + "step": 984 + }, + { + "epoch": 2.2072829131652663, + "grad_norm": 0.39480990171432495, + "learning_rate": 9.92175440606815e-05, + "loss": 0.4704, + "step": 985 + }, + { + "epoch": 2.2095238095238097, + "grad_norm": 0.44161802530288696, + "learning_rate": 9.902193568983175e-05, + "loss": 0.5188, + "step": 986 + }, + { + "epoch": 2.211764705882353, + "grad_norm": 0.45645326375961304, + "learning_rate": 9.882633106160376e-05, + "loss": 0.5173, + "step": 987 + }, + { + "epoch": 2.2140056022408965, + "grad_norm": 0.43310198187828064, + "learning_rate": 9.863073092449034e-05, + "loss": 0.4756, + "step": 988 + }, + { + "epoch": 2.21624649859944, + "grad_norm": 0.4334922134876251, + "learning_rate": 9.843513602696717e-05, + "loss": 0.5117, + "step": 989 + }, + { + "epoch": 2.2184873949579833, + "grad_norm": 0.4409882128238678, + "learning_rate": 9.823954711748986e-05, + "loss": 0.5314, + "step": 990 + }, + { + "epoch": 2.2207282913165267, + "grad_norm": 0.44057101011276245, + "learning_rate": 9.80439649444911e-05, + "loss": 0.5062, + "step": 991 + }, + { + "epoch": 2.22296918767507, + "grad_norm": 0.4002052843570709, + "learning_rate": 9.784839025637778e-05, + "loss": 0.493, + "step": 992 + }, + { + "epoch": 2.2252100840336135, + "grad_norm": 0.45808616280555725, + "learning_rate": 9.765282380152821e-05, + "loss": 0.575, + "step": 993 + }, + { + "epoch": 2.227450980392157, + "grad_norm": 0.3935520350933075, + "learning_rate": 9.745726632828913e-05, + "loss": 0.4905, + "step": 994 + }, + { + "epoch": 2.2296918767507004, + "grad_norm": 0.4213854968547821, + "learning_rate": 9.726171858497297e-05, + "loss": 0.514, + "step": 995 + }, + { + "epoch": 2.2319327731092438, + "grad_norm": 0.39440077543258667, + "learning_rate": 9.706618131985489e-05, + "loss": 0.4915, + "step": 996 + }, + { + "epoch": 2.234173669467787, + "grad_norm": 0.40655189752578735, + "learning_rate": 9.687065528116996e-05, + "loss": 0.5126, + "step": 997 + }, + { + "epoch": 2.2364145658263306, + "grad_norm": 0.39869415760040283, + "learning_rate": 9.667514121711025e-05, + "loss": 0.4476, + "step": 998 + }, + { + "epoch": 2.238655462184874, + "grad_norm": 0.41084200143814087, + "learning_rate": 9.647963987582212e-05, + "loss": 0.5781, + "step": 999 + }, + { + "epoch": 2.2408963585434174, + "grad_norm": 0.4361216723918915, + "learning_rate": 9.628415200540317e-05, + "loss": 0.5486, + "step": 1000 + }, + { + "epoch": 2.243137254901961, + "grad_norm": 0.41102784872055054, + "learning_rate": 9.608867835389943e-05, + "loss": 0.5043, + "step": 1001 + }, + { + "epoch": 2.245378151260504, + "grad_norm": 0.38688912987709045, + "learning_rate": 9.589321966930255e-05, + "loss": 0.6149, + "step": 1002 + }, + { + "epoch": 2.2476190476190476, + "grad_norm": 0.4278058409690857, + "learning_rate": 9.569777669954694e-05, + "loss": 0.4524, + "step": 1003 + }, + { + "epoch": 2.249859943977591, + "grad_norm": 0.41745269298553467, + "learning_rate": 9.550235019250688e-05, + "loss": 0.5073, + "step": 1004 + }, + { + "epoch": 2.2521008403361344, + "grad_norm": 0.41152727603912354, + "learning_rate": 9.530694089599351e-05, + "loss": 0.4801, + "step": 1005 + }, + { + "epoch": 2.254341736694678, + "grad_norm": 0.416883260011673, + "learning_rate": 9.511154955775231e-05, + "loss": 0.5401, + "step": 1006 + }, + { + "epoch": 2.2565826330532213, + "grad_norm": 0.4182227849960327, + "learning_rate": 9.491617692545992e-05, + "loss": 0.5813, + "step": 1007 + }, + { + "epoch": 2.2588235294117647, + "grad_norm": 0.3997863531112671, + "learning_rate": 9.472082374672146e-05, + "loss": 0.5075, + "step": 1008 + }, + { + "epoch": 2.261064425770308, + "grad_norm": 0.41225093603134155, + "learning_rate": 9.452549076906755e-05, + "loss": 0.5302, + "step": 1009 + }, + { + "epoch": 2.2633053221288515, + "grad_norm": 0.41989865899086, + "learning_rate": 9.433017873995158e-05, + "loss": 0.4532, + "step": 1010 + }, + { + "epoch": 2.265546218487395, + "grad_norm": 0.3788585364818573, + "learning_rate": 9.413488840674673e-05, + "loss": 0.5296, + "step": 1011 + }, + { + "epoch": 2.2677871148459383, + "grad_norm": 0.39189624786376953, + "learning_rate": 9.393962051674318e-05, + "loss": 0.4802, + "step": 1012 + }, + { + "epoch": 2.2700280112044817, + "grad_norm": 0.4206637740135193, + "learning_rate": 9.374437581714523e-05, + "loss": 0.5033, + "step": 1013 + }, + { + "epoch": 2.272268907563025, + "grad_norm": 0.44238483905792236, + "learning_rate": 9.354915505506839e-05, + "loss": 0.4976, + "step": 1014 + }, + { + "epoch": 2.2745098039215685, + "grad_norm": 0.44965559244155884, + "learning_rate": 9.335395897753666e-05, + "loss": 0.5419, + "step": 1015 + }, + { + "epoch": 2.276750700280112, + "grad_norm": 0.4196763038635254, + "learning_rate": 9.315878833147953e-05, + "loss": 0.5027, + "step": 1016 + }, + { + "epoch": 2.2789915966386554, + "grad_norm": 0.3971319794654846, + "learning_rate": 9.296364386372918e-05, + "loss": 0.5604, + "step": 1017 + }, + { + "epoch": 2.2812324929971988, + "grad_norm": 0.4141682982444763, + "learning_rate": 9.27685263210176e-05, + "loss": 0.4437, + "step": 1018 + }, + { + "epoch": 2.283473389355742, + "grad_norm": 0.46171408891677856, + "learning_rate": 9.25734364499738e-05, + "loss": 0.6103, + "step": 1019 + }, + { + "epoch": 2.2857142857142856, + "grad_norm": 0.41306909918785095, + "learning_rate": 9.237837499712088e-05, + "loss": 0.556, + "step": 1020 + }, + { + "epoch": 2.287955182072829, + "grad_norm": 0.4035610556602478, + "learning_rate": 9.218334270887316e-05, + "loss": 0.5183, + "step": 1021 + }, + { + "epoch": 2.2901960784313724, + "grad_norm": 0.402854859828949, + "learning_rate": 9.19883403315334e-05, + "loss": 0.4592, + "step": 1022 + }, + { + "epoch": 2.292436974789916, + "grad_norm": 0.4036504030227661, + "learning_rate": 9.179336861128987e-05, + "loss": 0.4513, + "step": 1023 + }, + { + "epoch": 2.2946778711484592, + "grad_norm": 0.42101335525512695, + "learning_rate": 9.159842829421358e-05, + "loss": 0.5122, + "step": 1024 + }, + { + "epoch": 2.2969187675070026, + "grad_norm": 0.41138187050819397, + "learning_rate": 9.140352012625537e-05, + "loss": 0.5554, + "step": 1025 + }, + { + "epoch": 2.299159663865546, + "grad_norm": 0.42715969681739807, + "learning_rate": 9.120864485324299e-05, + "loss": 0.4697, + "step": 1026 + }, + { + "epoch": 2.3014005602240895, + "grad_norm": 0.3975067138671875, + "learning_rate": 9.101380322087836e-05, + "loss": 0.4772, + "step": 1027 + }, + { + "epoch": 2.303641456582633, + "grad_norm": 0.42877110838890076, + "learning_rate": 9.081899597473469e-05, + "loss": 0.4915, + "step": 1028 + }, + { + "epoch": 2.3058823529411763, + "grad_norm": 0.40029025077819824, + "learning_rate": 9.06242238602536e-05, + "loss": 0.5242, + "step": 1029 + }, + { + "epoch": 2.3081232492997197, + "grad_norm": 0.44601088762283325, + "learning_rate": 9.042948762274227e-05, + "loss": 0.5101, + "step": 1030 + }, + { + "epoch": 2.310364145658263, + "grad_norm": 0.41966551542282104, + "learning_rate": 9.023478800737057e-05, + "loss": 0.4863, + "step": 1031 + }, + { + "epoch": 2.3126050420168065, + "grad_norm": 0.4753289222717285, + "learning_rate": 9.004012575916824e-05, + "loss": 0.6469, + "step": 1032 + }, + { + "epoch": 2.31484593837535, + "grad_norm": 0.4360703229904175, + "learning_rate": 8.984550162302211e-05, + "loss": 0.5078, + "step": 1033 + }, + { + "epoch": 2.3170868347338933, + "grad_norm": 0.4141191840171814, + "learning_rate": 8.965091634367306e-05, + "loss": 0.4478, + "step": 1034 + }, + { + "epoch": 2.3193277310924367, + "grad_norm": 0.4165865182876587, + "learning_rate": 8.945637066571337e-05, + "loss": 0.4496, + "step": 1035 + }, + { + "epoch": 2.3215686274509806, + "grad_norm": 0.41498279571533203, + "learning_rate": 8.92618653335837e-05, + "loss": 0.572, + "step": 1036 + }, + { + "epoch": 2.323809523809524, + "grad_norm": 0.43287456035614014, + "learning_rate": 8.906740109157039e-05, + "loss": 0.5647, + "step": 1037 + }, + { + "epoch": 2.3260504201680674, + "grad_norm": 0.42451250553131104, + "learning_rate": 8.887297868380255e-05, + "loss": 0.5155, + "step": 1038 + }, + { + "epoch": 2.328291316526611, + "grad_norm": 0.4161588251590729, + "learning_rate": 8.867859885424916e-05, + "loss": 0.5157, + "step": 1039 + }, + { + "epoch": 2.330532212885154, + "grad_norm": 0.4384361803531647, + "learning_rate": 8.848426234671628e-05, + "loss": 0.4937, + "step": 1040 + }, + { + "epoch": 2.3327731092436976, + "grad_norm": 0.42889484763145447, + "learning_rate": 8.828996990484423e-05, + "loss": 0.5067, + "step": 1041 + }, + { + "epoch": 2.335014005602241, + "grad_norm": 0.42189306020736694, + "learning_rate": 8.809572227210472e-05, + "loss": 0.4646, + "step": 1042 + }, + { + "epoch": 2.3372549019607844, + "grad_norm": 0.3996080458164215, + "learning_rate": 8.790152019179793e-05, + "loss": 0.5148, + "step": 1043 + }, + { + "epoch": 2.339495798319328, + "grad_norm": 0.40798112750053406, + "learning_rate": 8.770736440704979e-05, + "loss": 0.5793, + "step": 1044 + }, + { + "epoch": 2.3417366946778713, + "grad_norm": 0.40013808012008667, + "learning_rate": 8.751325566080905e-05, + "loss": 0.4127, + "step": 1045 + }, + { + "epoch": 2.3439775910364147, + "grad_norm": 0.41228431463241577, + "learning_rate": 8.731919469584442e-05, + "loss": 0.5119, + "step": 1046 + }, + { + "epoch": 2.346218487394958, + "grad_norm": 0.416579931974411, + "learning_rate": 8.712518225474191e-05, + "loss": 0.5385, + "step": 1047 + }, + { + "epoch": 2.3484593837535015, + "grad_norm": 0.45098868012428284, + "learning_rate": 8.693121907990176e-05, + "loss": 0.4893, + "step": 1048 + }, + { + "epoch": 2.350700280112045, + "grad_norm": 0.4259752333164215, + "learning_rate": 8.673730591353559e-05, + "loss": 0.4854, + "step": 1049 + }, + { + "epoch": 2.3529411764705883, + "grad_norm": 0.4256626069545746, + "learning_rate": 8.654344349766383e-05, + "loss": 0.5299, + "step": 1050 + }, + { + "epoch": 2.3551820728291317, + "grad_norm": 0.4528552293777466, + "learning_rate": 8.634963257411266e-05, + "loss": 0.6318, + "step": 1051 + }, + { + "epoch": 2.357422969187675, + "grad_norm": 0.43573692440986633, + "learning_rate": 8.615587388451116e-05, + "loss": 0.5874, + "step": 1052 + }, + { + "epoch": 2.3596638655462185, + "grad_norm": 0.43992942571640015, + "learning_rate": 8.59621681702886e-05, + "loss": 0.4871, + "step": 1053 + }, + { + "epoch": 2.361904761904762, + "grad_norm": 0.45180973410606384, + "learning_rate": 8.57685161726715e-05, + "loss": 0.569, + "step": 1054 + }, + { + "epoch": 2.3641456582633054, + "grad_norm": 0.44669607281684875, + "learning_rate": 8.557491863268087e-05, + "loss": 0.4861, + "step": 1055 + }, + { + "epoch": 2.3663865546218488, + "grad_norm": 0.4159175157546997, + "learning_rate": 8.53813762911293e-05, + "loss": 0.465, + "step": 1056 + }, + { + "epoch": 2.368627450980392, + "grad_norm": 0.408426970243454, + "learning_rate": 8.518788988861815e-05, + "loss": 0.5288, + "step": 1057 + }, + { + "epoch": 2.3708683473389356, + "grad_norm": 0.38745927810668945, + "learning_rate": 8.499446016553474e-05, + "loss": 0.4711, + "step": 1058 + }, + { + "epoch": 2.373109243697479, + "grad_norm": 0.4092199504375458, + "learning_rate": 8.480108786204955e-05, + "loss": 0.4444, + "step": 1059 + }, + { + "epoch": 2.3753501400560224, + "grad_norm": 0.3924252986907959, + "learning_rate": 8.460777371811327e-05, + "loss": 0.4669, + "step": 1060 + }, + { + "epoch": 2.377591036414566, + "grad_norm": 0.40003421902656555, + "learning_rate": 8.441451847345407e-05, + "loss": 0.5144, + "step": 1061 + }, + { + "epoch": 2.3798319327731092, + "grad_norm": 0.4236973524093628, + "learning_rate": 8.42213228675747e-05, + "loss": 0.4746, + "step": 1062 + }, + { + "epoch": 2.3820728291316526, + "grad_norm": 0.4162292182445526, + "learning_rate": 8.402818763974978e-05, + "loss": 0.5576, + "step": 1063 + }, + { + "epoch": 2.384313725490196, + "grad_norm": 0.4187072813510895, + "learning_rate": 8.383511352902285e-05, + "loss": 0.4439, + "step": 1064 + }, + { + "epoch": 2.3865546218487395, + "grad_norm": 0.42568284273147583, + "learning_rate": 8.364210127420354e-05, + "loss": 0.5249, + "step": 1065 + }, + { + "epoch": 2.388795518207283, + "grad_norm": 0.4502849280834198, + "learning_rate": 8.344915161386483e-05, + "loss": 0.4901, + "step": 1066 + }, + { + "epoch": 2.3910364145658263, + "grad_norm": 0.41129040718078613, + "learning_rate": 8.325626528634017e-05, + "loss": 0.4934, + "step": 1067 + }, + { + "epoch": 2.3932773109243697, + "grad_norm": 0.4660985767841339, + "learning_rate": 8.306344302972067e-05, + "loss": 0.4783, + "step": 1068 + }, + { + "epoch": 2.395518207282913, + "grad_norm": 0.4513007700443268, + "learning_rate": 8.287068558185225e-05, + "loss": 0.5745, + "step": 1069 + }, + { + "epoch": 2.3977591036414565, + "grad_norm": 0.45751145482063293, + "learning_rate": 8.267799368033286e-05, + "loss": 0.496, + "step": 1070 + }, + { + "epoch": 2.4, + "grad_norm": 0.40702319145202637, + "learning_rate": 8.248536806250958e-05, + "loss": 0.4638, + "step": 1071 + }, + { + "epoch": 2.4022408963585433, + "grad_norm": 0.4384859800338745, + "learning_rate": 8.229280946547595e-05, + "loss": 0.4855, + "step": 1072 + }, + { + "epoch": 2.4044817927170867, + "grad_norm": 0.40514451265335083, + "learning_rate": 8.210031862606895e-05, + "loss": 0.45, + "step": 1073 + }, + { + "epoch": 2.40672268907563, + "grad_norm": 0.4280382990837097, + "learning_rate": 8.190789628086632e-05, + "loss": 0.4715, + "step": 1074 + }, + { + "epoch": 2.4089635854341735, + "grad_norm": 0.39819565415382385, + "learning_rate": 8.171554316618374e-05, + "loss": 0.5013, + "step": 1075 + }, + { + "epoch": 2.411204481792717, + "grad_norm": 0.4179481863975525, + "learning_rate": 8.152326001807189e-05, + "loss": 0.4887, + "step": 1076 + }, + { + "epoch": 2.4134453781512604, + "grad_norm": 0.41948774456977844, + "learning_rate": 8.13310475723138e-05, + "loss": 0.5164, + "step": 1077 + }, + { + "epoch": 2.4156862745098038, + "grad_norm": 0.4570457935333252, + "learning_rate": 8.113890656442193e-05, + "loss": 0.6124, + "step": 1078 + }, + { + "epoch": 2.417927170868347, + "grad_norm": 0.42094066739082336, + "learning_rate": 8.094683772963537e-05, + "loss": 0.4857, + "step": 1079 + }, + { + "epoch": 2.4201680672268906, + "grad_norm": 0.42249664664268494, + "learning_rate": 8.075484180291701e-05, + "loss": 0.5505, + "step": 1080 + }, + { + "epoch": 2.422408963585434, + "grad_norm": 0.41316911578178406, + "learning_rate": 8.056291951895079e-05, + "loss": 0.5063, + "step": 1081 + }, + { + "epoch": 2.4246498599439774, + "grad_norm": 0.423313170671463, + "learning_rate": 8.037107161213886e-05, + "loss": 0.4174, + "step": 1082 + }, + { + "epoch": 2.426890756302521, + "grad_norm": 0.45118579268455505, + "learning_rate": 8.017929881659874e-05, + "loss": 0.5024, + "step": 1083 + }, + { + "epoch": 2.4291316526610642, + "grad_norm": 0.431448757648468, + "learning_rate": 7.99876018661605e-05, + "loss": 0.5391, + "step": 1084 + }, + { + "epoch": 2.431372549019608, + "grad_norm": 0.43506568670272827, + "learning_rate": 7.979598149436403e-05, + "loss": 0.5026, + "step": 1085 + }, + { + "epoch": 2.4336134453781515, + "grad_norm": 0.42530521750450134, + "learning_rate": 7.960443843445621e-05, + "loss": 0.5372, + "step": 1086 + }, + { + "epoch": 2.435854341736695, + "grad_norm": 0.4265046715736389, + "learning_rate": 7.941297341938803e-05, + "loss": 0.5104, + "step": 1087 + }, + { + "epoch": 2.4380952380952383, + "grad_norm": 0.4294826090335846, + "learning_rate": 7.922158718181185e-05, + "loss": 0.5355, + "step": 1088 + }, + { + "epoch": 2.4403361344537817, + "grad_norm": 0.3806697726249695, + "learning_rate": 7.903028045407857e-05, + "loss": 0.4372, + "step": 1089 + }, + { + "epoch": 2.442577030812325, + "grad_norm": 0.4443027377128601, + "learning_rate": 7.883905396823486e-05, + "loss": 0.5097, + "step": 1090 + }, + { + "epoch": 2.4448179271708685, + "grad_norm": 0.4052489101886749, + "learning_rate": 7.864790845602039e-05, + "loss": 0.4297, + "step": 1091 + }, + { + "epoch": 2.447058823529412, + "grad_norm": 0.38045182824134827, + "learning_rate": 7.845684464886487e-05, + "loss": 0.507, + "step": 1092 + }, + { + "epoch": 2.4492997198879554, + "grad_norm": 0.3937990069389343, + "learning_rate": 7.826586327788547e-05, + "loss": 0.5029, + "step": 1093 + }, + { + "epoch": 2.4515406162464988, + "grad_norm": 0.4530947804450989, + "learning_rate": 7.80749650738838e-05, + "loss": 0.5362, + "step": 1094 + }, + { + "epoch": 2.453781512605042, + "grad_norm": 0.46375659108161926, + "learning_rate": 7.788415076734333e-05, + "loss": 0.5646, + "step": 1095 + }, + { + "epoch": 2.4560224089635856, + "grad_norm": 0.4116787314414978, + "learning_rate": 7.76934210884264e-05, + "loss": 0.6341, + "step": 1096 + }, + { + "epoch": 2.458263305322129, + "grad_norm": 0.4486657381057739, + "learning_rate": 7.75027767669716e-05, + "loss": 0.5135, + "step": 1097 + }, + { + "epoch": 2.4605042016806724, + "grad_norm": 0.42132434248924255, + "learning_rate": 7.731221853249088e-05, + "loss": 0.5435, + "step": 1098 + }, + { + "epoch": 2.462745098039216, + "grad_norm": 0.42719486355781555, + "learning_rate": 7.712174711416674e-05, + "loss": 0.5286, + "step": 1099 + }, + { + "epoch": 2.4649859943977592, + "grad_norm": 0.4020358622074127, + "learning_rate": 7.693136324084948e-05, + "loss": 0.4945, + "step": 1100 + }, + { + "epoch": 2.4672268907563026, + "grad_norm": 0.4580785036087036, + "learning_rate": 7.674106764105442e-05, + "loss": 0.589, + "step": 1101 + }, + { + "epoch": 2.469467787114846, + "grad_norm": 0.4302530288696289, + "learning_rate": 7.655086104295904e-05, + "loss": 0.5739, + "step": 1102 + }, + { + "epoch": 2.4717086834733895, + "grad_norm": 0.4251365661621094, + "learning_rate": 7.636074417440036e-05, + "loss": 0.4898, + "step": 1103 + }, + { + "epoch": 2.473949579831933, + "grad_norm": 0.40312501788139343, + "learning_rate": 7.617071776287196e-05, + "loss": 0.5138, + "step": 1104 + }, + { + "epoch": 2.4761904761904763, + "grad_norm": 0.43058258295059204, + "learning_rate": 7.598078253552129e-05, + "loss": 0.5195, + "step": 1105 + }, + { + "epoch": 2.4784313725490197, + "grad_norm": 0.41228926181793213, + "learning_rate": 7.579093921914688e-05, + "loss": 0.4914, + "step": 1106 + }, + { + "epoch": 2.480672268907563, + "grad_norm": 0.3853016197681427, + "learning_rate": 7.560118854019559e-05, + "loss": 0.4631, + "step": 1107 + }, + { + "epoch": 2.4829131652661065, + "grad_norm": 0.446071594953537, + "learning_rate": 7.541153122475978e-05, + "loss": 0.5478, + "step": 1108 + }, + { + "epoch": 2.48515406162465, + "grad_norm": 0.39395663142204285, + "learning_rate": 7.522196799857453e-05, + "loss": 0.4713, + "step": 1109 + }, + { + "epoch": 2.4873949579831933, + "grad_norm": 0.44347715377807617, + "learning_rate": 7.503249958701489e-05, + "loss": 0.5647, + "step": 1110 + }, + { + "epoch": 2.4896358543417367, + "grad_norm": 0.4742254614830017, + "learning_rate": 7.484312671509306e-05, + "loss": 0.5057, + "step": 1111 + }, + { + "epoch": 2.49187675070028, + "grad_norm": 0.4173833429813385, + "learning_rate": 7.465385010745579e-05, + "loss": 0.4004, + "step": 1112 + }, + { + "epoch": 2.4941176470588236, + "grad_norm": 0.4468843638896942, + "learning_rate": 7.446467048838131e-05, + "loss": 0.5514, + "step": 1113 + }, + { + "epoch": 2.496358543417367, + "grad_norm": 0.48716241121292114, + "learning_rate": 7.427558858177679e-05, + "loss": 0.4748, + "step": 1114 + }, + { + "epoch": 2.4985994397759104, + "grad_norm": 0.45233801007270813, + "learning_rate": 7.408660511117546e-05, + "loss": 0.5237, + "step": 1115 + }, + { + "epoch": 2.500840336134454, + "grad_norm": 0.4716877043247223, + "learning_rate": 7.389772079973396e-05, + "loss": 0.5594, + "step": 1116 + }, + { + "epoch": 2.503081232492997, + "grad_norm": 0.4315103590488434, + "learning_rate": 7.37089363702294e-05, + "loss": 0.4487, + "step": 1117 + }, + { + "epoch": 2.5053221288515406, + "grad_norm": 0.44232210516929626, + "learning_rate": 7.352025254505673e-05, + "loss": 0.5537, + "step": 1118 + }, + { + "epoch": 2.507563025210084, + "grad_norm": 0.44675686955451965, + "learning_rate": 7.333167004622592e-05, + "loss": 0.4987, + "step": 1119 + }, + { + "epoch": 2.5098039215686274, + "grad_norm": 0.3972238004207611, + "learning_rate": 7.31431895953592e-05, + "loss": 0.5414, + "step": 1120 + }, + { + "epoch": 2.512044817927171, + "grad_norm": 0.4098942279815674, + "learning_rate": 7.295481191368836e-05, + "loss": 0.5653, + "step": 1121 + }, + { + "epoch": 2.5142857142857142, + "grad_norm": 0.4425329566001892, + "learning_rate": 7.276653772205186e-05, + "loss": 0.502, + "step": 1122 + }, + { + "epoch": 2.5165266106442576, + "grad_norm": 0.44188177585601807, + "learning_rate": 7.257836774089222e-05, + "loss": 0.5204, + "step": 1123 + }, + { + "epoch": 2.518767507002801, + "grad_norm": 0.40702101588249207, + "learning_rate": 7.239030269025311e-05, + "loss": 0.5016, + "step": 1124 + }, + { + "epoch": 2.5210084033613445, + "grad_norm": 0.47361934185028076, + "learning_rate": 7.220234328977677e-05, + "loss": 0.5352, + "step": 1125 + }, + { + "epoch": 2.523249299719888, + "grad_norm": 0.4118124842643738, + "learning_rate": 7.201449025870113e-05, + "loss": 0.483, + "step": 1126 + }, + { + "epoch": 2.5254901960784313, + "grad_norm": 0.42633935809135437, + "learning_rate": 7.182674431585704e-05, + "loss": 0.5221, + "step": 1127 + }, + { + "epoch": 2.5277310924369747, + "grad_norm": 0.41050711274147034, + "learning_rate": 7.163910617966563e-05, + "loss": 0.4936, + "step": 1128 + }, + { + "epoch": 2.529971988795518, + "grad_norm": 0.4213041365146637, + "learning_rate": 7.145157656813546e-05, + "loss": 0.5258, + "step": 1129 + }, + { + "epoch": 2.5322128851540615, + "grad_norm": 0.44016504287719727, + "learning_rate": 7.126415619885986e-05, + "loss": 0.5254, + "step": 1130 + }, + { + "epoch": 2.534453781512605, + "grad_norm": 0.4144013226032257, + "learning_rate": 7.107684578901414e-05, + "loss": 0.5113, + "step": 1131 + }, + { + "epoch": 2.5366946778711483, + "grad_norm": 0.4324791431427002, + "learning_rate": 7.088964605535278e-05, + "loss": 0.4534, + "step": 1132 + }, + { + "epoch": 2.5389355742296917, + "grad_norm": 0.4527924656867981, + "learning_rate": 7.070255771420678e-05, + "loss": 0.5252, + "step": 1133 + }, + { + "epoch": 2.541176470588235, + "grad_norm": 0.42882460355758667, + "learning_rate": 7.051558148148092e-05, + "loss": 0.4494, + "step": 1134 + }, + { + "epoch": 2.5434173669467786, + "grad_norm": 0.45250919461250305, + "learning_rate": 7.032871807265096e-05, + "loss": 0.4848, + "step": 1135 + }, + { + "epoch": 2.545658263305322, + "grad_norm": 0.452020525932312, + "learning_rate": 7.014196820276097e-05, + "loss": 0.5801, + "step": 1136 + }, + { + "epoch": 2.5478991596638654, + "grad_norm": 0.44832712411880493, + "learning_rate": 6.99553325864205e-05, + "loss": 0.4844, + "step": 1137 + }, + { + "epoch": 2.550140056022409, + "grad_norm": 0.44664841890335083, + "learning_rate": 6.976881193780196e-05, + "loss": 0.4997, + "step": 1138 + }, + { + "epoch": 2.552380952380952, + "grad_norm": 0.45292359590530396, + "learning_rate": 6.958240697063773e-05, + "loss": 0.4583, + "step": 1139 + }, + { + "epoch": 2.5546218487394956, + "grad_norm": 0.44887852668762207, + "learning_rate": 6.939611839821767e-05, + "loss": 0.5134, + "step": 1140 + }, + { + "epoch": 2.556862745098039, + "grad_norm": 0.46710190176963806, + "learning_rate": 6.920994693338612e-05, + "loss": 0.5406, + "step": 1141 + }, + { + "epoch": 2.5591036414565824, + "grad_norm": 0.4302251935005188, + "learning_rate": 6.90238932885394e-05, + "loss": 0.4367, + "step": 1142 + }, + { + "epoch": 2.561344537815126, + "grad_norm": 0.39620494842529297, + "learning_rate": 6.883795817562293e-05, + "loss": 0.4373, + "step": 1143 + }, + { + "epoch": 2.5635854341736692, + "grad_norm": 0.4327729046344757, + "learning_rate": 6.865214230612857e-05, + "loss": 0.4567, + "step": 1144 + }, + { + "epoch": 2.5658263305322127, + "grad_norm": 0.4318556487560272, + "learning_rate": 6.846644639109186e-05, + "loss": 0.4956, + "step": 1145 + }, + { + "epoch": 2.568067226890756, + "grad_norm": 0.410940021276474, + "learning_rate": 6.82808711410894e-05, + "loss": 0.4715, + "step": 1146 + }, + { + "epoch": 2.5703081232492995, + "grad_norm": 0.44518476724624634, + "learning_rate": 6.809541726623601e-05, + "loss": 0.5613, + "step": 1147 + }, + { + "epoch": 2.572549019607843, + "grad_norm": 0.4663293957710266, + "learning_rate": 6.791008547618206e-05, + "loss": 0.4837, + "step": 1148 + }, + { + "epoch": 2.5747899159663863, + "grad_norm": 0.43246734142303467, + "learning_rate": 6.772487648011074e-05, + "loss": 0.5244, + "step": 1149 + }, + { + "epoch": 2.5770308123249297, + "grad_norm": 0.471043199300766, + "learning_rate": 6.753979098673538e-05, + "loss": 0.5452, + "step": 1150 + }, + { + "epoch": 2.5792717086834736, + "grad_norm": 0.43286454677581787, + "learning_rate": 6.735482970429676e-05, + "loss": 0.448, + "step": 1151 + }, + { + "epoch": 2.581512605042017, + "grad_norm": 0.43996450304985046, + "learning_rate": 6.716999334056031e-05, + "loss": 0.4486, + "step": 1152 + }, + { + "epoch": 2.5837535014005604, + "grad_norm": 0.40108829736709595, + "learning_rate": 6.698528260281345e-05, + "loss": 0.39, + "step": 1153 + }, + { + "epoch": 2.585994397759104, + "grad_norm": 0.4602837562561035, + "learning_rate": 6.680069819786287e-05, + "loss": 0.5458, + "step": 1154 + }, + { + "epoch": 2.588235294117647, + "grad_norm": 0.44124406576156616, + "learning_rate": 6.66162408320319e-05, + "loss": 0.5629, + "step": 1155 + }, + { + "epoch": 2.5904761904761906, + "grad_norm": 0.41357114911079407, + "learning_rate": 6.643191121115773e-05, + "loss": 0.4054, + "step": 1156 + }, + { + "epoch": 2.592717086834734, + "grad_norm": 0.4528425633907318, + "learning_rate": 6.624771004058868e-05, + "loss": 0.547, + "step": 1157 + }, + { + "epoch": 2.5949579831932774, + "grad_norm": 0.4345560371875763, + "learning_rate": 6.606363802518159e-05, + "loss": 0.4827, + "step": 1158 + }, + { + "epoch": 2.597198879551821, + "grad_norm": 0.44091105461120605, + "learning_rate": 6.587969586929906e-05, + "loss": 0.5285, + "step": 1159 + }, + { + "epoch": 2.5994397759103642, + "grad_norm": 0.4253813326358795, + "learning_rate": 6.569588427680678e-05, + "loss": 0.4701, + "step": 1160 + }, + { + "epoch": 2.6016806722689076, + "grad_norm": 0.4591507315635681, + "learning_rate": 6.551220395107085e-05, + "loss": 0.4894, + "step": 1161 + }, + { + "epoch": 2.603921568627451, + "grad_norm": 0.4634987711906433, + "learning_rate": 6.532865559495504e-05, + "loss": 0.5739, + "step": 1162 + }, + { + "epoch": 2.6061624649859945, + "grad_norm": 0.4665946960449219, + "learning_rate": 6.514523991081815e-05, + "loss": 0.5316, + "step": 1163 + }, + { + "epoch": 2.608403361344538, + "grad_norm": 0.42269474267959595, + "learning_rate": 6.496195760051129e-05, + "loss": 0.5457, + "step": 1164 + }, + { + "epoch": 2.6106442577030813, + "grad_norm": 0.39959385991096497, + "learning_rate": 6.477880936537521e-05, + "loss": 0.4687, + "step": 1165 + }, + { + "epoch": 2.6128851540616247, + "grad_norm": 0.45105481147766113, + "learning_rate": 6.459579590623763e-05, + "loss": 0.4732, + "step": 1166 + }, + { + "epoch": 2.615126050420168, + "grad_norm": 0.4361535906791687, + "learning_rate": 6.441291792341053e-05, + "loss": 0.5406, + "step": 1167 + }, + { + "epoch": 2.6173669467787115, + "grad_norm": 0.4421353340148926, + "learning_rate": 6.423017611668745e-05, + "loss": 0.4506, + "step": 1168 + }, + { + "epoch": 2.619607843137255, + "grad_norm": 0.40406641364097595, + "learning_rate": 6.40475711853409e-05, + "loss": 0.512, + "step": 1169 + }, + { + "epoch": 2.6218487394957983, + "grad_norm": 0.4766140878200531, + "learning_rate": 6.386510382811962e-05, + "loss": 0.4282, + "step": 1170 + }, + { + "epoch": 2.6240896358543417, + "grad_norm": 0.4143347442150116, + "learning_rate": 6.368277474324587e-05, + "loss": 0.4387, + "step": 1171 + }, + { + "epoch": 2.626330532212885, + "grad_norm": 0.42166438698768616, + "learning_rate": 6.350058462841283e-05, + "loss": 0.4871, + "step": 1172 + }, + { + "epoch": 2.6285714285714286, + "grad_norm": 0.4512467086315155, + "learning_rate": 6.331853418078189e-05, + "loss": 0.4713, + "step": 1173 + }, + { + "epoch": 2.630812324929972, + "grad_norm": 0.4364948272705078, + "learning_rate": 6.313662409698004e-05, + "loss": 0.5566, + "step": 1174 + }, + { + "epoch": 2.6330532212885154, + "grad_norm": 0.4114439785480499, + "learning_rate": 6.29548550730971e-05, + "loss": 0.442, + "step": 1175 + }, + { + "epoch": 2.635294117647059, + "grad_norm": 0.4442448914051056, + "learning_rate": 6.277322780468316e-05, + "loss": 0.4886, + "step": 1176 + }, + { + "epoch": 2.637535014005602, + "grad_norm": 0.44406870007514954, + "learning_rate": 6.259174298674586e-05, + "loss": 0.4747, + "step": 1177 + }, + { + "epoch": 2.6397759103641456, + "grad_norm": 0.4712062478065491, + "learning_rate": 6.241040131374769e-05, + "loss": 0.5397, + "step": 1178 + }, + { + "epoch": 2.642016806722689, + "grad_norm": 0.4444422125816345, + "learning_rate": 6.22292034796035e-05, + "loss": 0.4413, + "step": 1179 + }, + { + "epoch": 2.6442577030812324, + "grad_norm": 0.43544045090675354, + "learning_rate": 6.204815017767767e-05, + "loss": 0.4931, + "step": 1180 + }, + { + "epoch": 2.646498599439776, + "grad_norm": 0.4698467254638672, + "learning_rate": 6.186724210078148e-05, + "loss": 0.5931, + "step": 1181 + }, + { + "epoch": 2.6487394957983192, + "grad_norm": 0.4257587194442749, + "learning_rate": 6.168647994117058e-05, + "loss": 0.4852, + "step": 1182 + }, + { + "epoch": 2.6509803921568627, + "grad_norm": 0.44725215435028076, + "learning_rate": 6.150586439054215e-05, + "loss": 0.5422, + "step": 1183 + }, + { + "epoch": 2.653221288515406, + "grad_norm": 0.4267517626285553, + "learning_rate": 6.132539614003249e-05, + "loss": 0.5024, + "step": 1184 + }, + { + "epoch": 2.6554621848739495, + "grad_norm": 0.44710227847099304, + "learning_rate": 6.114507588021412e-05, + "loss": 0.5129, + "step": 1185 + }, + { + "epoch": 2.657703081232493, + "grad_norm": 0.40692219138145447, + "learning_rate": 6.096490430109343e-05, + "loss": 0.4922, + "step": 1186 + }, + { + "epoch": 2.6599439775910363, + "grad_norm": 0.4133314788341522, + "learning_rate": 6.078488209210769e-05, + "loss": 0.5757, + "step": 1187 + }, + { + "epoch": 2.6621848739495797, + "grad_norm": 0.4211864471435547, + "learning_rate": 6.060500994212271e-05, + "loss": 0.467, + "step": 1188 + }, + { + "epoch": 2.664425770308123, + "grad_norm": 0.4237733483314514, + "learning_rate": 6.042528853943004e-05, + "loss": 0.4428, + "step": 1189 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 0.41876572370529175, + "learning_rate": 6.024571857174443e-05, + "loss": 0.4409, + "step": 1190 + }, + { + "epoch": 2.66890756302521, + "grad_norm": 0.45893558859825134, + "learning_rate": 6.006630072620113e-05, + "loss": 0.5965, + "step": 1191 + }, + { + "epoch": 2.6711484593837533, + "grad_norm": 0.5006417036056519, + "learning_rate": 5.9887035689353285e-05, + "loss": 0.492, + "step": 1192 + }, + { + "epoch": 2.673389355742297, + "grad_norm": 0.4403904676437378, + "learning_rate": 5.9707924147169315e-05, + "loss": 0.5206, + "step": 1193 + }, + { + "epoch": 2.6756302521008406, + "grad_norm": 0.4360312819480896, + "learning_rate": 5.952896678503025e-05, + "loss": 0.4696, + "step": 1194 + }, + { + "epoch": 2.677871148459384, + "grad_norm": 0.4301529824733734, + "learning_rate": 5.935016428772721e-05, + "loss": 0.5675, + "step": 1195 + }, + { + "epoch": 2.6801120448179274, + "grad_norm": 0.42791324853897095, + "learning_rate": 5.9171517339458646e-05, + "loss": 0.4538, + "step": 1196 + }, + { + "epoch": 2.682352941176471, + "grad_norm": 0.43683886528015137, + "learning_rate": 5.899302662382785e-05, + "loss": 0.5144, + "step": 1197 + }, + { + "epoch": 2.6845938375350142, + "grad_norm": 0.419698029756546, + "learning_rate": 5.88146928238402e-05, + "loss": 0.4614, + "step": 1198 + }, + { + "epoch": 2.6868347338935576, + "grad_norm": 0.48740556836128235, + "learning_rate": 5.863651662190075e-05, + "loss": 0.4979, + "step": 1199 + }, + { + "epoch": 2.689075630252101, + "grad_norm": 0.4334785044193268, + "learning_rate": 5.845849869981137e-05, + "loss": 0.6011, + "step": 1200 + }, + { + "epoch": 2.6913165266106445, + "grad_norm": 0.450212299823761, + "learning_rate": 5.828063973876834e-05, + "loss": 0.4903, + "step": 1201 + }, + { + "epoch": 2.693557422969188, + "grad_norm": 0.4369335472583771, + "learning_rate": 5.81029404193596e-05, + "loss": 0.4872, + "step": 1202 + }, + { + "epoch": 2.6957983193277313, + "grad_norm": 0.4307531714439392, + "learning_rate": 5.792540142156233e-05, + "loss": 0.4272, + "step": 1203 + }, + { + "epoch": 2.6980392156862747, + "grad_norm": 0.44111305475234985, + "learning_rate": 5.7748023424740083e-05, + "loss": 0.5081, + "step": 1204 + }, + { + "epoch": 2.700280112044818, + "grad_norm": 0.4529974162578583, + "learning_rate": 5.757080710764041e-05, + "loss": 0.4823, + "step": 1205 + }, + { + "epoch": 2.7025210084033615, + "grad_norm": 0.4316770136356354, + "learning_rate": 5.739375314839226e-05, + "loss": 0.4983, + "step": 1206 + }, + { + "epoch": 2.704761904761905, + "grad_norm": 0.4267878830432892, + "learning_rate": 5.721686222450311e-05, + "loss": 0.4634, + "step": 1207 + }, + { + "epoch": 2.7070028011204483, + "grad_norm": 0.4317241907119751, + "learning_rate": 5.7040135012856786e-05, + "loss": 0.481, + "step": 1208 + }, + { + "epoch": 2.7092436974789917, + "grad_norm": 0.45203784108161926, + "learning_rate": 5.686357218971049e-05, + "loss": 0.5158, + "step": 1209 + }, + { + "epoch": 2.711484593837535, + "grad_norm": 0.4764373004436493, + "learning_rate": 5.668717443069249e-05, + "loss": 0.6243, + "step": 1210 + }, + { + "epoch": 2.7137254901960786, + "grad_norm": 0.4173125922679901, + "learning_rate": 5.6510942410799415e-05, + "loss": 0.5189, + "step": 1211 + }, + { + "epoch": 2.715966386554622, + "grad_norm": 0.43439099192619324, + "learning_rate": 5.633487680439361e-05, + "loss": 0.4766, + "step": 1212 + }, + { + "epoch": 2.7182072829131654, + "grad_norm": 0.46178168058395386, + "learning_rate": 5.615897828520074e-05, + "loss": 0.5407, + "step": 1213 + }, + { + "epoch": 2.720448179271709, + "grad_norm": 0.42440083622932434, + "learning_rate": 5.598324752630695e-05, + "loss": 0.471, + "step": 1214 + }, + { + "epoch": 2.722689075630252, + "grad_norm": 0.47547709941864014, + "learning_rate": 5.580768520015658e-05, + "loss": 0.6282, + "step": 1215 + }, + { + "epoch": 2.7249299719887956, + "grad_norm": 0.40208446979522705, + "learning_rate": 5.5632291978549444e-05, + "loss": 0.5341, + "step": 1216 + }, + { + "epoch": 2.727170868347339, + "grad_norm": 0.41205033659935, + "learning_rate": 5.545706853263814e-05, + "loss": 0.4511, + "step": 1217 + }, + { + "epoch": 2.7294117647058824, + "grad_norm": 0.43807148933410645, + "learning_rate": 5.528201553292578e-05, + "loss": 0.513, + "step": 1218 + }, + { + "epoch": 2.731652661064426, + "grad_norm": 0.4304596781730652, + "learning_rate": 5.5107133649263077e-05, + "loss": 0.5122, + "step": 1219 + }, + { + "epoch": 2.7338935574229692, + "grad_norm": 0.4425150454044342, + "learning_rate": 5.493242355084609e-05, + "loss": 0.5225, + "step": 1220 + }, + { + "epoch": 2.7361344537815127, + "grad_norm": 0.47015315294265747, + "learning_rate": 5.4757885906213525e-05, + "loss": 0.5872, + "step": 1221 + }, + { + "epoch": 2.738375350140056, + "grad_norm": 0.4287366271018982, + "learning_rate": 5.4583521383244076e-05, + "loss": 0.5247, + "step": 1222 + }, + { + "epoch": 2.7406162464985995, + "grad_norm": 0.4516020715236664, + "learning_rate": 5.440933064915414e-05, + "loss": 0.5552, + "step": 1223 + }, + { + "epoch": 2.742857142857143, + "grad_norm": 0.46535906195640564, + "learning_rate": 5.4235314370494905e-05, + "loss": 0.5469, + "step": 1224 + }, + { + "epoch": 2.7450980392156863, + "grad_norm": 0.41264423727989197, + "learning_rate": 5.4061473213150146e-05, + "loss": 0.4707, + "step": 1225 + }, + { + "epoch": 2.7473389355742297, + "grad_norm": 0.4428427815437317, + "learning_rate": 5.3887807842333536e-05, + "loss": 0.462, + "step": 1226 + }, + { + "epoch": 2.749579831932773, + "grad_norm": 0.4278802275657654, + "learning_rate": 5.371431892258596e-05, + "loss": 0.45, + "step": 1227 + }, + { + "epoch": 2.7518207282913165, + "grad_norm": 0.4178737699985504, + "learning_rate": 5.354100711777317e-05, + "loss": 0.521, + "step": 1228 + }, + { + "epoch": 2.75406162464986, + "grad_norm": 0.4378300607204437, + "learning_rate": 5.336787309108324e-05, + "loss": 0.5341, + "step": 1229 + }, + { + "epoch": 2.7563025210084033, + "grad_norm": 0.428938627243042, + "learning_rate": 5.319491750502383e-05, + "loss": 0.5213, + "step": 1230 + }, + { + "epoch": 2.7585434173669467, + "grad_norm": 0.44063812494277954, + "learning_rate": 5.302214102141991e-05, + "loss": 0.4556, + "step": 1231 + }, + { + "epoch": 2.76078431372549, + "grad_norm": 0.4765867590904236, + "learning_rate": 5.2849544301411094e-05, + "loss": 0.4859, + "step": 1232 + }, + { + "epoch": 2.7630252100840336, + "grad_norm": 0.4411394000053406, + "learning_rate": 5.2677128005449e-05, + "loss": 0.4559, + "step": 1233 + }, + { + "epoch": 2.765266106442577, + "grad_norm": 0.4739338755607605, + "learning_rate": 5.2504892793295e-05, + "loss": 0.5517, + "step": 1234 + }, + { + "epoch": 2.7675070028011204, + "grad_norm": 0.40744367241859436, + "learning_rate": 5.233283932401741e-05, + "loss": 0.4635, + "step": 1235 + }, + { + "epoch": 2.769747899159664, + "grad_norm": 0.4491940140724182, + "learning_rate": 5.2160968255989176e-05, + "loss": 0.4626, + "step": 1236 + }, + { + "epoch": 2.771988795518207, + "grad_norm": 0.44875219464302063, + "learning_rate": 5.1989280246885275e-05, + "loss": 0.4961, + "step": 1237 + }, + { + "epoch": 2.7742296918767506, + "grad_norm": 0.4800289273262024, + "learning_rate": 5.181777595368009e-05, + "loss": 0.5092, + "step": 1238 + }, + { + "epoch": 2.776470588235294, + "grad_norm": 0.4514055550098419, + "learning_rate": 5.16464560326452e-05, + "loss": 0.4889, + "step": 1239 + }, + { + "epoch": 2.7787114845938374, + "grad_norm": 0.44190871715545654, + "learning_rate": 5.1475321139346456e-05, + "loss": 0.5033, + "step": 1240 + }, + { + "epoch": 2.780952380952381, + "grad_norm": 0.4622608423233032, + "learning_rate": 5.130437192864182e-05, + "loss": 0.4663, + "step": 1241 + }, + { + "epoch": 2.7831932773109243, + "grad_norm": 0.45036548376083374, + "learning_rate": 5.113360905467874e-05, + "loss": 0.5187, + "step": 1242 + }, + { + "epoch": 2.7854341736694677, + "grad_norm": 0.4636622667312622, + "learning_rate": 5.096303317089155e-05, + "loss": 0.4426, + "step": 1243 + }, + { + "epoch": 2.787675070028011, + "grad_norm": 0.4120221734046936, + "learning_rate": 5.079264492999915e-05, + "loss": 0.4223, + "step": 1244 + }, + { + "epoch": 2.7899159663865545, + "grad_norm": 0.44056281447410583, + "learning_rate": 5.062244498400228e-05, + "loss": 0.4905, + "step": 1245 + }, + { + "epoch": 2.792156862745098, + "grad_norm": 0.44559818506240845, + "learning_rate": 5.045243398418131e-05, + "loss": 0.5281, + "step": 1246 + }, + { + "epoch": 2.7943977591036413, + "grad_norm": 0.4363376498222351, + "learning_rate": 5.028261258109355e-05, + "loss": 0.4977, + "step": 1247 + }, + { + "epoch": 2.7966386554621847, + "grad_norm": 0.45672979950904846, + "learning_rate": 5.011298142457069e-05, + "loss": 0.5212, + "step": 1248 + }, + { + "epoch": 2.798879551820728, + "grad_norm": 0.4205709993839264, + "learning_rate": 4.994354116371659e-05, + "loss": 0.5179, + "step": 1249 + }, + { + "epoch": 2.8011204481792715, + "grad_norm": 0.4712340831756592, + "learning_rate": 4.9774292446904605e-05, + "loss": 0.5128, + "step": 1250 + }, + { + "epoch": 2.803361344537815, + "grad_norm": 0.4125993251800537, + "learning_rate": 4.9605235921775006e-05, + "loss": 0.5666, + "step": 1251 + }, + { + "epoch": 2.8056022408963583, + "grad_norm": 0.4541053771972656, + "learning_rate": 4.9436372235232816e-05, + "loss": 0.5223, + "step": 1252 + }, + { + "epoch": 2.8078431372549018, + "grad_norm": 0.42332640290260315, + "learning_rate": 4.9267702033444996e-05, + "loss": 0.4782, + "step": 1253 + }, + { + "epoch": 2.810084033613445, + "grad_norm": 0.4206790328025818, + "learning_rate": 4.9099225961838215e-05, + "loss": 0.4846, + "step": 1254 + }, + { + "epoch": 2.8123249299719886, + "grad_norm": 0.47637486457824707, + "learning_rate": 4.893094466509629e-05, + "loss": 0.5505, + "step": 1255 + }, + { + "epoch": 2.814565826330532, + "grad_norm": 0.4126443564891815, + "learning_rate": 4.876285878715764e-05, + "loss": 0.436, + "step": 1256 + }, + { + "epoch": 2.8168067226890754, + "grad_norm": 0.4458106756210327, + "learning_rate": 4.859496897121303e-05, + "loss": 0.5215, + "step": 1257 + }, + { + "epoch": 2.819047619047619, + "grad_norm": 0.4408244788646698, + "learning_rate": 4.8427275859702833e-05, + "loss": 0.5526, + "step": 1258 + }, + { + "epoch": 2.821288515406162, + "grad_norm": 0.47083553671836853, + "learning_rate": 4.825978009431484e-05, + "loss": 0.5461, + "step": 1259 + }, + { + "epoch": 2.8235294117647056, + "grad_norm": 0.44672128558158875, + "learning_rate": 4.809248231598168e-05, + "loss": 0.5313, + "step": 1260 + }, + { + "epoch": 2.825770308123249, + "grad_norm": 0.4665304124355316, + "learning_rate": 4.792538316487824e-05, + "loss": 0.4801, + "step": 1261 + }, + { + "epoch": 2.8280112044817924, + "grad_norm": 0.4424595832824707, + "learning_rate": 4.775848328041956e-05, + "loss": 0.5804, + "step": 1262 + }, + { + "epoch": 2.8302521008403363, + "grad_norm": 0.4141983389854431, + "learning_rate": 4.7591783301257955e-05, + "loss": 0.5124, + "step": 1263 + }, + { + "epoch": 2.8324929971988797, + "grad_norm": 0.44667792320251465, + "learning_rate": 4.742528386528093e-05, + "loss": 0.5156, + "step": 1264 + }, + { + "epoch": 2.834733893557423, + "grad_norm": 0.43313977122306824, + "learning_rate": 4.725898560960862e-05, + "loss": 0.5087, + "step": 1265 + }, + { + "epoch": 2.8369747899159665, + "grad_norm": 0.4425276219844818, + "learning_rate": 4.709288917059118e-05, + "loss": 0.4842, + "step": 1266 + }, + { + "epoch": 2.83921568627451, + "grad_norm": 0.4620510935783386, + "learning_rate": 4.6926995183806644e-05, + "loss": 0.5418, + "step": 1267 + }, + { + "epoch": 2.8414565826330533, + "grad_norm": 0.4190068542957306, + "learning_rate": 4.676130428405834e-05, + "loss": 0.4785, + "step": 1268 + }, + { + "epoch": 2.8436974789915967, + "grad_norm": 0.43840011954307556, + "learning_rate": 4.6595817105372354e-05, + "loss": 0.482, + "step": 1269 + }, + { + "epoch": 2.84593837535014, + "grad_norm": 0.4305482506752014, + "learning_rate": 4.6430534280995376e-05, + "loss": 0.4899, + "step": 1270 + }, + { + "epoch": 2.8481792717086836, + "grad_norm": 0.4740334153175354, + "learning_rate": 4.626545644339202e-05, + "loss": 0.5599, + "step": 1271 + }, + { + "epoch": 2.850420168067227, + "grad_norm": 0.4739833474159241, + "learning_rate": 4.610058422424248e-05, + "loss": 0.5854, + "step": 1272 + }, + { + "epoch": 2.8526610644257704, + "grad_norm": 0.42749541997909546, + "learning_rate": 4.593591825444028e-05, + "loss": 0.458, + "step": 1273 + }, + { + "epoch": 2.854901960784314, + "grad_norm": 0.4204394221305847, + "learning_rate": 4.577145916408955e-05, + "loss": 0.4389, + "step": 1274 + }, + { + "epoch": 2.857142857142857, + "grad_norm": 0.4521435499191284, + "learning_rate": 4.560720758250289e-05, + "loss": 0.4788, + "step": 1275 + }, + { + "epoch": 2.8593837535014006, + "grad_norm": 0.46246248483657837, + "learning_rate": 4.544316413819888e-05, + "loss": 0.5504, + "step": 1276 + }, + { + "epoch": 2.861624649859944, + "grad_norm": 0.4419306516647339, + "learning_rate": 4.5279329458899525e-05, + "loss": 0.4313, + "step": 1277 + }, + { + "epoch": 2.8638655462184874, + "grad_norm": 0.4536859393119812, + "learning_rate": 4.5115704171528105e-05, + "loss": 0.5285, + "step": 1278 + }, + { + "epoch": 2.866106442577031, + "grad_norm": 0.4236634075641632, + "learning_rate": 4.495228890220655e-05, + "loss": 0.4777, + "step": 1279 + }, + { + "epoch": 2.8683473389355743, + "grad_norm": 0.4374547302722931, + "learning_rate": 4.478908427625323e-05, + "loss": 0.4361, + "step": 1280 + }, + { + "epoch": 2.8705882352941177, + "grad_norm": 0.47177979350090027, + "learning_rate": 4.462609091818043e-05, + "loss": 0.4774, + "step": 1281 + }, + { + "epoch": 2.872829131652661, + "grad_norm": 0.4400593936443329, + "learning_rate": 4.446330945169197e-05, + "loss": 0.5595, + "step": 1282 + }, + { + "epoch": 2.8750700280112045, + "grad_norm": 0.45247647166252136, + "learning_rate": 4.430074049968097e-05, + "loss": 0.4463, + "step": 1283 + }, + { + "epoch": 2.877310924369748, + "grad_norm": 0.45194771885871887, + "learning_rate": 4.41383846842272e-05, + "loss": 0.5107, + "step": 1284 + }, + { + "epoch": 2.8795518207282913, + "grad_norm": 0.46045300364494324, + "learning_rate": 4.397624262659494e-05, + "loss": 0.5606, + "step": 1285 + }, + { + "epoch": 2.8817927170868347, + "grad_norm": 0.4386404752731323, + "learning_rate": 4.381431494723056e-05, + "loss": 0.5098, + "step": 1286 + }, + { + "epoch": 2.884033613445378, + "grad_norm": 0.4073896110057831, + "learning_rate": 4.365260226575996e-05, + "loss": 0.4859, + "step": 1287 + }, + { + "epoch": 2.8862745098039215, + "grad_norm": 0.43394744396209717, + "learning_rate": 4.349110520098644e-05, + "loss": 0.4872, + "step": 1288 + }, + { + "epoch": 2.888515406162465, + "grad_norm": 0.4351210296154022, + "learning_rate": 4.332982437088825e-05, + "loss": 0.5044, + "step": 1289 + }, + { + "epoch": 2.8907563025210083, + "grad_norm": 0.4198545217514038, + "learning_rate": 4.316876039261609e-05, + "loss": 0.4236, + "step": 1290 + }, + { + "epoch": 2.8929971988795518, + "grad_norm": 0.4112950265407562, + "learning_rate": 4.3007913882491e-05, + "loss": 0.4094, + "step": 1291 + }, + { + "epoch": 2.895238095238095, + "grad_norm": 0.42472249269485474, + "learning_rate": 4.284728545600174e-05, + "loss": 0.5063, + "step": 1292 + }, + { + "epoch": 2.8974789915966386, + "grad_norm": 0.46323516964912415, + "learning_rate": 4.268687572780262e-05, + "loss": 0.4832, + "step": 1293 + }, + { + "epoch": 2.899719887955182, + "grad_norm": 0.4436538517475128, + "learning_rate": 4.252668531171117e-05, + "loss": 0.4717, + "step": 1294 + }, + { + "epoch": 2.9019607843137254, + "grad_norm": 0.45396503806114197, + "learning_rate": 4.236671482070551e-05, + "loss": 0.5104, + "step": 1295 + }, + { + "epoch": 2.904201680672269, + "grad_norm": 0.3761095106601715, + "learning_rate": 4.220696486692242e-05, + "loss": 0.4395, + "step": 1296 + }, + { + "epoch": 2.906442577030812, + "grad_norm": 0.44329094886779785, + "learning_rate": 4.204743606165458e-05, + "loss": 0.5193, + "step": 1297 + }, + { + "epoch": 2.9086834733893556, + "grad_norm": 0.42952483892440796, + "learning_rate": 4.18881290153486e-05, + "loss": 0.4772, + "step": 1298 + }, + { + "epoch": 2.910924369747899, + "grad_norm": 0.44214001297950745, + "learning_rate": 4.172904433760245e-05, + "loss": 0.642, + "step": 1299 + }, + { + "epoch": 2.9131652661064424, + "grad_norm": 0.434265673160553, + "learning_rate": 4.1570182637163155e-05, + "loss": 0.5146, + "step": 1300 + }, + { + "epoch": 2.915406162464986, + "grad_norm": 0.44314271211624146, + "learning_rate": 4.141154452192458e-05, + "loss": 0.5096, + "step": 1301 + }, + { + "epoch": 2.9176470588235293, + "grad_norm": 0.434539794921875, + "learning_rate": 4.125313059892494e-05, + "loss": 0.5027, + "step": 1302 + }, + { + "epoch": 2.9198879551820727, + "grad_norm": 0.45350441336631775, + "learning_rate": 4.109494147434464e-05, + "loss": 0.5134, + "step": 1303 + }, + { + "epoch": 2.9221288515406165, + "grad_norm": 0.4504285156726837, + "learning_rate": 4.093697775350388e-05, + "loss": 0.4712, + "step": 1304 + }, + { + "epoch": 2.92436974789916, + "grad_norm": 0.43399813771247864, + "learning_rate": 4.077924004086025e-05, + "loss": 0.466, + "step": 1305 + }, + { + "epoch": 2.9266106442577033, + "grad_norm": 0.45415496826171875, + "learning_rate": 4.0621728940006646e-05, + "loss": 0.4261, + "step": 1306 + }, + { + "epoch": 2.9288515406162468, + "grad_norm": 0.42973750829696655, + "learning_rate": 4.0464445053668666e-05, + "loss": 0.454, + "step": 1307 + }, + { + "epoch": 2.93109243697479, + "grad_norm": 0.4402119219303131, + "learning_rate": 4.0307388983702554e-05, + "loss": 0.5414, + "step": 1308 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 0.4354257583618164, + "learning_rate": 4.015056133109284e-05, + "loss": 0.487, + "step": 1309 + }, + { + "epoch": 2.935574229691877, + "grad_norm": 0.4353284239768982, + "learning_rate": 3.999396269594986e-05, + "loss": 0.4894, + "step": 1310 + }, + { + "epoch": 2.9378151260504204, + "grad_norm": 0.4558074474334717, + "learning_rate": 3.9837593677507726e-05, + "loss": 0.509, + "step": 1311 + }, + { + "epoch": 2.940056022408964, + "grad_norm": 0.4599749743938446, + "learning_rate": 3.9681454874121905e-05, + "loss": 0.5366, + "step": 1312 + }, + { + "epoch": 2.942296918767507, + "grad_norm": 0.4445565342903137, + "learning_rate": 3.9525546883266806e-05, + "loss": 0.4795, + "step": 1313 + }, + { + "epoch": 2.9445378151260506, + "grad_norm": 0.4135204255580902, + "learning_rate": 3.9369870301533784e-05, + "loss": 0.474, + "step": 1314 + }, + { + "epoch": 2.946778711484594, + "grad_norm": 0.4500633776187897, + "learning_rate": 3.921442572462856e-05, + "loss": 0.5392, + "step": 1315 + }, + { + "epoch": 2.9490196078431374, + "grad_norm": 0.4244655668735504, + "learning_rate": 3.905921374736918e-05, + "loss": 0.4312, + "step": 1316 + }, + { + "epoch": 2.951260504201681, + "grad_norm": 0.4241161048412323, + "learning_rate": 3.890423496368357e-05, + "loss": 0.4528, + "step": 1317 + }, + { + "epoch": 2.9535014005602243, + "grad_norm": 0.4363906681537628, + "learning_rate": 3.8749489966607296e-05, + "loss": 0.5197, + "step": 1318 + }, + { + "epoch": 2.9557422969187677, + "grad_norm": 0.4631204903125763, + "learning_rate": 3.85949793482814e-05, + "loss": 0.5183, + "step": 1319 + }, + { + "epoch": 2.957983193277311, + "grad_norm": 0.4488946795463562, + "learning_rate": 3.8440703699950075e-05, + "loss": 0.575, + "step": 1320 + }, + { + "epoch": 2.9602240896358545, + "grad_norm": 0.451129674911499, + "learning_rate": 3.828666361195827e-05, + "loss": 0.4806, + "step": 1321 + }, + { + "epoch": 2.962464985994398, + "grad_norm": 0.428025484085083, + "learning_rate": 3.813285967374969e-05, + "loss": 0.4556, + "step": 1322 + }, + { + "epoch": 2.9647058823529413, + "grad_norm": 0.4540148675441742, + "learning_rate": 3.7979292473864257e-05, + "loss": 0.4273, + "step": 1323 + }, + { + "epoch": 2.9669467787114847, + "grad_norm": 0.45857563614845276, + "learning_rate": 3.782596259993611e-05, + "loss": 0.5061, + "step": 1324 + }, + { + "epoch": 2.969187675070028, + "grad_norm": 0.4698602557182312, + "learning_rate": 3.767287063869125e-05, + "loss": 0.5311, + "step": 1325 + }, + { + "epoch": 2.9714285714285715, + "grad_norm": 0.44710850715637207, + "learning_rate": 3.752001717594517e-05, + "loss": 0.5881, + "step": 1326 + }, + { + "epoch": 2.973669467787115, + "grad_norm": 0.5294246673583984, + "learning_rate": 3.736740279660087e-05, + "loss": 0.5108, + "step": 1327 + }, + { + "epoch": 2.9759103641456583, + "grad_norm": 0.46404391527175903, + "learning_rate": 3.7215028084646386e-05, + "loss": 0.5784, + "step": 1328 + }, + { + "epoch": 2.9781512605042018, + "grad_norm": 0.47567376494407654, + "learning_rate": 3.706289362315271e-05, + "loss": 0.5864, + "step": 1329 + }, + { + "epoch": 2.980392156862745, + "grad_norm": 0.4270058274269104, + "learning_rate": 3.691099999427152e-05, + "loss": 0.4804, + "step": 1330 + }, + { + "epoch": 2.9826330532212886, + "grad_norm": 0.47204577922821045, + "learning_rate": 3.675934777923283e-05, + "loss": 0.578, + "step": 1331 + }, + { + "epoch": 2.984873949579832, + "grad_norm": 0.4929749071598053, + "learning_rate": 3.660793755834298e-05, + "loss": 0.5297, + "step": 1332 + }, + { + "epoch": 2.9871148459383754, + "grad_norm": 0.45627254247665405, + "learning_rate": 3.645676991098227e-05, + "loss": 0.4705, + "step": 1333 + }, + { + "epoch": 2.989355742296919, + "grad_norm": 0.48187679052352905, + "learning_rate": 3.630584541560272e-05, + "loss": 0.4823, + "step": 1334 + }, + { + "epoch": 2.991596638655462, + "grad_norm": 0.42817258834838867, + "learning_rate": 3.615516464972604e-05, + "loss": 0.3985, + "step": 1335 + }, + { + "epoch": 2.9938375350140056, + "grad_norm": 0.4278976023197174, + "learning_rate": 3.600472818994114e-05, + "loss": 0.4891, + "step": 1336 + }, + { + "epoch": 2.996078431372549, + "grad_norm": 0.42993059754371643, + "learning_rate": 3.585453661190218e-05, + "loss": 0.4632, + "step": 1337 + }, + { + "epoch": 2.9983193277310924, + "grad_norm": 0.4411959648132324, + "learning_rate": 3.5704590490326295e-05, + "loss": 0.4865, + "step": 1338 + }, + { + "epoch": 3.000560224089636, + "grad_norm": 0.49589869379997253, + "learning_rate": 3.5554890398991224e-05, + "loss": 0.4917, + "step": 1339 + }, + { + "epoch": 3.0028011204481793, + "grad_norm": 0.41332972049713135, + "learning_rate": 3.540543691073343e-05, + "loss": 0.4124, + "step": 1340 + }, + { + "epoch": 3.0050420168067227, + "grad_norm": 0.39853808283805847, + "learning_rate": 3.5256230597445594e-05, + "loss": 0.3223, + "step": 1341 + }, + { + "epoch": 3.007282913165266, + "grad_norm": 0.40299588441848755, + "learning_rate": 3.510727203007462e-05, + "loss": 0.3388, + "step": 1342 + }, + { + "epoch": 3.0095238095238095, + "grad_norm": 0.3891731798648834, + "learning_rate": 3.495856177861947e-05, + "loss": 0.3039, + "step": 1343 + }, + { + "epoch": 3.011764705882353, + "grad_norm": 0.39756113290786743, + "learning_rate": 3.4810100412128747e-05, + "loss": 0.4982, + "step": 1344 + }, + { + "epoch": 3.0140056022408963, + "grad_norm": 0.4121803939342499, + "learning_rate": 3.4661888498698855e-05, + "loss": 0.4245, + "step": 1345 + }, + { + "epoch": 3.0162464985994397, + "grad_norm": 0.3936035931110382, + "learning_rate": 3.45139266054715e-05, + "loss": 0.329, + "step": 1346 + }, + { + "epoch": 3.018487394957983, + "grad_norm": 0.43669405579566956, + "learning_rate": 3.4366215298631776e-05, + "loss": 0.3462, + "step": 1347 + }, + { + "epoch": 3.0207282913165265, + "grad_norm": 0.40322819352149963, + "learning_rate": 3.421875514340589e-05, + "loss": 0.2907, + "step": 1348 + }, + { + "epoch": 3.02296918767507, + "grad_norm": 0.4164092242717743, + "learning_rate": 3.40715467040589e-05, + "loss": 0.2771, + "step": 1349 + }, + { + "epoch": 3.0252100840336134, + "grad_norm": 0.45907339453697205, + "learning_rate": 3.392459054389281e-05, + "loss": 0.3304, + "step": 1350 + }, + { + "epoch": 3.0274509803921568, + "grad_norm": 0.479154497385025, + "learning_rate": 3.37778872252441e-05, + "loss": 0.2681, + "step": 1351 + }, + { + "epoch": 3.0296918767507, + "grad_norm": 0.5601916909217834, + "learning_rate": 3.363143730948185e-05, + "loss": 0.386, + "step": 1352 + }, + { + "epoch": 3.0319327731092436, + "grad_norm": 0.5094799995422363, + "learning_rate": 3.348524135700549e-05, + "loss": 0.2722, + "step": 1353 + }, + { + "epoch": 3.034173669467787, + "grad_norm": 0.5367773771286011, + "learning_rate": 3.333929992724253e-05, + "loss": 0.295, + "step": 1354 + }, + { + "epoch": 3.0364145658263304, + "grad_norm": 0.5212346911430359, + "learning_rate": 3.319361357864663e-05, + "loss": 0.2944, + "step": 1355 + }, + { + "epoch": 3.038655462184874, + "grad_norm": 0.5167776942253113, + "learning_rate": 3.30481828686954e-05, + "loss": 0.424, + "step": 1356 + }, + { + "epoch": 3.040896358543417, + "grad_norm": 0.5402488112449646, + "learning_rate": 3.290300835388808e-05, + "loss": 0.3583, + "step": 1357 + }, + { + "epoch": 3.0431372549019606, + "grad_norm": 0.4713301956653595, + "learning_rate": 3.275809058974373e-05, + "loss": 0.3549, + "step": 1358 + }, + { + "epoch": 3.045378151260504, + "grad_norm": 0.4944319725036621, + "learning_rate": 3.261343013079879e-05, + "loss": 0.2797, + "step": 1359 + }, + { + "epoch": 3.0476190476190474, + "grad_norm": 0.5610097050666809, + "learning_rate": 3.2469027530605254e-05, + "loss": 0.3929, + "step": 1360 + }, + { + "epoch": 3.049859943977591, + "grad_norm": 0.5217616558074951, + "learning_rate": 3.2324883341728375e-05, + "loss": 0.3391, + "step": 1361 + }, + { + "epoch": 3.0521008403361343, + "grad_norm": 0.4262455105781555, + "learning_rate": 3.2180998115744386e-05, + "loss": 0.2776, + "step": 1362 + }, + { + "epoch": 3.0543417366946777, + "grad_norm": 0.5136886239051819, + "learning_rate": 3.203737240323884e-05, + "loss": 0.3459, + "step": 1363 + }, + { + "epoch": 3.056582633053221, + "grad_norm": 0.47765475511550903, + "learning_rate": 3.189400675380414e-05, + "loss": 0.3548, + "step": 1364 + }, + { + "epoch": 3.0588235294117645, + "grad_norm": 0.4363887906074524, + "learning_rate": 3.17509017160375e-05, + "loss": 0.3044, + "step": 1365 + }, + { + "epoch": 3.061064425770308, + "grad_norm": 0.45955631136894226, + "learning_rate": 3.160805783753897e-05, + "loss": 0.258, + "step": 1366 + }, + { + "epoch": 3.0633053221288513, + "grad_norm": 0.42014384269714355, + "learning_rate": 3.1465475664909185e-05, + "loss": 0.2822, + "step": 1367 + }, + { + "epoch": 3.065546218487395, + "grad_norm": 0.4501345753669739, + "learning_rate": 3.132315574374739e-05, + "loss": 0.3335, + "step": 1368 + }, + { + "epoch": 3.0677871148459386, + "grad_norm": 0.4411679208278656, + "learning_rate": 3.118109861864934e-05, + "loss": 0.2956, + "step": 1369 + }, + { + "epoch": 3.070028011204482, + "grad_norm": 0.4476657807826996, + "learning_rate": 3.103930483320508e-05, + "loss": 0.3129, + "step": 1370 + }, + { + "epoch": 3.0722689075630254, + "grad_norm": 0.4412747323513031, + "learning_rate": 3.089777492999709e-05, + "loss": 0.3169, + "step": 1371 + }, + { + "epoch": 3.074509803921569, + "grad_norm": 0.44826242327690125, + "learning_rate": 3.0756509450597995e-05, + "loss": 0.3474, + "step": 1372 + }, + { + "epoch": 3.076750700280112, + "grad_norm": 0.45413777232170105, + "learning_rate": 3.0615508935568626e-05, + "loss": 0.3458, + "step": 1373 + }, + { + "epoch": 3.0789915966386556, + "grad_norm": 0.4862656593322754, + "learning_rate": 3.0474773924455958e-05, + "loss": 0.3266, + "step": 1374 + }, + { + "epoch": 3.081232492997199, + "grad_norm": 0.4633581042289734, + "learning_rate": 3.0334304955790883e-05, + "loss": 0.3215, + "step": 1375 + }, + { + "epoch": 3.0834733893557424, + "grad_norm": 0.46785250306129456, + "learning_rate": 3.0194102567086368e-05, + "loss": 0.3216, + "step": 1376 + }, + { + "epoch": 3.085714285714286, + "grad_norm": 0.5173181891441345, + "learning_rate": 3.005416729483531e-05, + "loss": 0.3174, + "step": 1377 + }, + { + "epoch": 3.0879551820728293, + "grad_norm": 0.4843448996543884, + "learning_rate": 2.9914499674508335e-05, + "loss": 0.3731, + "step": 1378 + }, + { + "epoch": 3.0901960784313727, + "grad_norm": 0.5071886777877808, + "learning_rate": 2.9775100240552047e-05, + "loss": 0.3231, + "step": 1379 + }, + { + "epoch": 3.092436974789916, + "grad_norm": 0.4825439751148224, + "learning_rate": 2.9635969526386664e-05, + "loss": 0.3735, + "step": 1380 + }, + { + "epoch": 3.0946778711484595, + "grad_norm": 0.5004919767379761, + "learning_rate": 2.9497108064404256e-05, + "loss": 0.347, + "step": 1381 + }, + { + "epoch": 3.096918767507003, + "grad_norm": 0.488555908203125, + "learning_rate": 2.935851638596655e-05, + "loss": 0.2964, + "step": 1382 + }, + { + "epoch": 3.0991596638655463, + "grad_norm": 0.5091221332550049, + "learning_rate": 2.9220195021402874e-05, + "loss": 0.3988, + "step": 1383 + }, + { + "epoch": 3.1014005602240897, + "grad_norm": 0.4765869677066803, + "learning_rate": 2.908214450000828e-05, + "loss": 0.2942, + "step": 1384 + }, + { + "epoch": 3.103641456582633, + "grad_norm": 0.5064610242843628, + "learning_rate": 2.8944365350041303e-05, + "loss": 0.3522, + "step": 1385 + }, + { + "epoch": 3.1058823529411765, + "grad_norm": 0.5001654624938965, + "learning_rate": 2.8806858098722156e-05, + "loss": 0.3109, + "step": 1386 + }, + { + "epoch": 3.10812324929972, + "grad_norm": 0.511434018611908, + "learning_rate": 2.8669623272230606e-05, + "loss": 0.3194, + "step": 1387 + }, + { + "epoch": 3.1103641456582634, + "grad_norm": 0.4685607850551605, + "learning_rate": 2.853266139570391e-05, + "loss": 0.3158, + "step": 1388 + }, + { + "epoch": 3.1126050420168068, + "grad_norm": 0.5167863965034485, + "learning_rate": 2.839597299323493e-05, + "loss": 0.3529, + "step": 1389 + }, + { + "epoch": 3.11484593837535, + "grad_norm": 0.5615128874778748, + "learning_rate": 2.8259558587870015e-05, + "loss": 0.3293, + "step": 1390 + }, + { + "epoch": 3.1170868347338936, + "grad_norm": 0.49968770146369934, + "learning_rate": 2.8123418701607075e-05, + "loss": 0.261, + "step": 1391 + }, + { + "epoch": 3.119327731092437, + "grad_norm": 0.46439695358276367, + "learning_rate": 2.7987553855393577e-05, + "loss": 0.2621, + "step": 1392 + }, + { + "epoch": 3.1215686274509804, + "grad_norm": 0.48158368468284607, + "learning_rate": 2.7851964569124468e-05, + "loss": 0.3149, + "step": 1393 + }, + { + "epoch": 3.123809523809524, + "grad_norm": 0.4731869697570801, + "learning_rate": 2.7716651361640277e-05, + "loss": 0.3239, + "step": 1394 + }, + { + "epoch": 3.1260504201680672, + "grad_norm": 0.5252434611320496, + "learning_rate": 2.758161475072518e-05, + "loss": 0.3718, + "step": 1395 + }, + { + "epoch": 3.1282913165266106, + "grad_norm": 0.4798729121685028, + "learning_rate": 2.7446855253104775e-05, + "loss": 0.3285, + "step": 1396 + }, + { + "epoch": 3.130532212885154, + "grad_norm": 0.4544459879398346, + "learning_rate": 2.7312373384444445e-05, + "loss": 0.2919, + "step": 1397 + }, + { + "epoch": 3.1327731092436975, + "grad_norm": 0.4789837598800659, + "learning_rate": 2.7178169659347053e-05, + "loss": 0.3393, + "step": 1398 + }, + { + "epoch": 3.135014005602241, + "grad_norm": 0.529924213886261, + "learning_rate": 2.7044244591351232e-05, + "loss": 0.3708, + "step": 1399 + }, + { + "epoch": 3.1372549019607843, + "grad_norm": 0.5389192700386047, + "learning_rate": 2.6910598692929323e-05, + "loss": 0.3941, + "step": 1400 + }, + { + "epoch": 3.1394957983193277, + "grad_norm": 0.5049662590026855, + "learning_rate": 2.6777232475485315e-05, + "loss": 0.346, + "step": 1401 + }, + { + "epoch": 3.141736694677871, + "grad_norm": 0.45820388197898865, + "learning_rate": 2.6644146449353103e-05, + "loss": 0.2621, + "step": 1402 + }, + { + "epoch": 3.1439775910364145, + "grad_norm": 0.44702383875846863, + "learning_rate": 2.6511341123794265e-05, + "loss": 0.2813, + "step": 1403 + }, + { + "epoch": 3.146218487394958, + "grad_norm": 0.4817456305027008, + "learning_rate": 2.6378817006996393e-05, + "loss": 0.398, + "step": 1404 + }, + { + "epoch": 3.1484593837535013, + "grad_norm": 0.49277815222740173, + "learning_rate": 2.624657460607103e-05, + "loss": 0.3089, + "step": 1405 + }, + { + "epoch": 3.1507002801120447, + "grad_norm": 0.5029839873313904, + "learning_rate": 2.611461442705152e-05, + "loss": 0.3146, + "step": 1406 + }, + { + "epoch": 3.152941176470588, + "grad_norm": 0.5354706048965454, + "learning_rate": 2.598293697489148e-05, + "loss": 0.3605, + "step": 1407 + }, + { + "epoch": 3.1551820728291315, + "grad_norm": 0.5312678217887878, + "learning_rate": 2.585154275346261e-05, + "loss": 0.3399, + "step": 1408 + }, + { + "epoch": 3.157422969187675, + "grad_norm": 0.4887639582157135, + "learning_rate": 2.5720432265552696e-05, + "loss": 0.3379, + "step": 1409 + }, + { + "epoch": 3.1596638655462184, + "grad_norm": 0.4942966401576996, + "learning_rate": 2.5589606012863963e-05, + "loss": 0.3088, + "step": 1410 + }, + { + "epoch": 3.1619047619047618, + "grad_norm": 3.910985231399536, + "learning_rate": 2.5459064496010855e-05, + "loss": 0.3442, + "step": 1411 + }, + { + "epoch": 3.164145658263305, + "grad_norm": 0.5338606834411621, + "learning_rate": 2.532880821451833e-05, + "loss": 0.3882, + "step": 1412 + }, + { + "epoch": 3.1663865546218486, + "grad_norm": 0.5721837878227234, + "learning_rate": 2.519883766681991e-05, + "loss": 0.3739, + "step": 1413 + }, + { + "epoch": 3.168627450980392, + "grad_norm": 0.5071980953216553, + "learning_rate": 2.5069153350255613e-05, + "loss": 0.3254, + "step": 1414 + }, + { + "epoch": 3.1708683473389354, + "grad_norm": 0.4821365475654602, + "learning_rate": 2.4939755761070306e-05, + "loss": 0.2976, + "step": 1415 + }, + { + "epoch": 3.173109243697479, + "grad_norm": 0.49733036756515503, + "learning_rate": 2.4810645394411635e-05, + "loss": 0.3257, + "step": 1416 + }, + { + "epoch": 3.1753501400560222, + "grad_norm": 0.5084898471832275, + "learning_rate": 2.468182274432812e-05, + "loss": 0.298, + "step": 1417 + }, + { + "epoch": 3.1775910364145656, + "grad_norm": 0.49415645003318787, + "learning_rate": 2.455328830376741e-05, + "loss": 0.3257, + "step": 1418 + }, + { + "epoch": 3.179831932773109, + "grad_norm": 0.49613410234451294, + "learning_rate": 2.4425042564574184e-05, + "loss": 0.2686, + "step": 1419 + }, + { + "epoch": 3.1820728291316525, + "grad_norm": 0.5033903121948242, + "learning_rate": 2.429708601748849e-05, + "loss": 0.3389, + "step": 1420 + }, + { + "epoch": 3.1843137254901963, + "grad_norm": 0.47465944290161133, + "learning_rate": 2.4169419152143768e-05, + "loss": 0.3047, + "step": 1421 + }, + { + "epoch": 3.1865546218487397, + "grad_norm": 0.5243690013885498, + "learning_rate": 2.4042042457064863e-05, + "loss": 0.3374, + "step": 1422 + }, + { + "epoch": 3.188795518207283, + "grad_norm": 0.4812096059322357, + "learning_rate": 2.39149564196664e-05, + "loss": 0.3213, + "step": 1423 + }, + { + "epoch": 3.1910364145658265, + "grad_norm": 0.5146459937095642, + "learning_rate": 2.3788161526250674e-05, + "loss": 0.2956, + "step": 1424 + }, + { + "epoch": 3.19327731092437, + "grad_norm": 0.49484795331954956, + "learning_rate": 2.3661658262005982e-05, + "loss": 0.3339, + "step": 1425 + }, + { + "epoch": 3.1955182072829134, + "grad_norm": 0.4640098214149475, + "learning_rate": 2.353544711100466e-05, + "loss": 0.2884, + "step": 1426 + }, + { + "epoch": 3.1977591036414568, + "grad_norm": 0.5316060185432434, + "learning_rate": 2.340952855620121e-05, + "loss": 0.3417, + "step": 1427 + }, + { + "epoch": 3.2, + "grad_norm": 0.4443023204803467, + "learning_rate": 2.328390307943058e-05, + "loss": 0.2678, + "step": 1428 + }, + { + "epoch": 3.2022408963585436, + "grad_norm": 0.5558844208717346, + "learning_rate": 2.315857116140615e-05, + "loss": 0.3275, + "step": 1429 + }, + { + "epoch": 3.204481792717087, + "grad_norm": 0.4856441915035248, + "learning_rate": 2.3033533281718035e-05, + "loss": 0.2729, + "step": 1430 + }, + { + "epoch": 3.2067226890756304, + "grad_norm": 0.5532668232917786, + "learning_rate": 2.2908789918831207e-05, + "loss": 0.3551, + "step": 1431 + }, + { + "epoch": 3.208963585434174, + "grad_norm": 0.5030052661895752, + "learning_rate": 2.2784341550083576e-05, + "loss": 0.3281, + "step": 1432 + }, + { + "epoch": 3.2112044817927172, + "grad_norm": 0.5266245007514954, + "learning_rate": 2.2660188651684355e-05, + "loss": 0.4574, + "step": 1433 + }, + { + "epoch": 3.2134453781512606, + "grad_norm": 0.4811515510082245, + "learning_rate": 2.2536331698711977e-05, + "loss": 0.2571, + "step": 1434 + }, + { + "epoch": 3.215686274509804, + "grad_norm": 0.5309754014015198, + "learning_rate": 2.2412771165112557e-05, + "loss": 0.3653, + "step": 1435 + }, + { + "epoch": 3.2179271708683475, + "grad_norm": 0.4872804284095764, + "learning_rate": 2.2289507523697896e-05, + "loss": 0.2672, + "step": 1436 + }, + { + "epoch": 3.220168067226891, + "grad_norm": 0.5137742757797241, + "learning_rate": 2.216654124614366e-05, + "loss": 0.329, + "step": 1437 + }, + { + "epoch": 3.2224089635854343, + "grad_norm": 0.483310341835022, + "learning_rate": 2.204387280298772e-05, + "loss": 0.2992, + "step": 1438 + }, + { + "epoch": 3.2246498599439777, + "grad_norm": 0.4888010025024414, + "learning_rate": 2.1921502663628246e-05, + "loss": 0.3012, + "step": 1439 + }, + { + "epoch": 3.226890756302521, + "grad_norm": 0.5152415633201599, + "learning_rate": 2.179943129632188e-05, + "loss": 0.2948, + "step": 1440 + }, + { + "epoch": 3.2291316526610645, + "grad_norm": 0.4996802806854248, + "learning_rate": 2.1677659168182063e-05, + "loss": 0.3025, + "step": 1441 + }, + { + "epoch": 3.231372549019608, + "grad_norm": 0.49200794100761414, + "learning_rate": 2.155618674517711e-05, + "loss": 0.2836, + "step": 1442 + }, + { + "epoch": 3.2336134453781513, + "grad_norm": 0.4743421673774719, + "learning_rate": 2.1435014492128547e-05, + "loss": 0.2585, + "step": 1443 + }, + { + "epoch": 3.2358543417366947, + "grad_norm": 0.44622379541397095, + "learning_rate": 2.131414287270931e-05, + "loss": 0.2404, + "step": 1444 + }, + { + "epoch": 3.238095238095238, + "grad_norm": 0.4845670759677887, + "learning_rate": 2.1193572349441836e-05, + "loss": 0.2798, + "step": 1445 + }, + { + "epoch": 3.2403361344537815, + "grad_norm": 0.5389719009399414, + "learning_rate": 2.1073303383696518e-05, + "loss": 0.3019, + "step": 1446 + }, + { + "epoch": 3.242577030812325, + "grad_norm": 0.5004632472991943, + "learning_rate": 2.095333643568973e-05, + "loss": 0.3031, + "step": 1447 + }, + { + "epoch": 3.2448179271708684, + "grad_norm": 0.5112025141716003, + "learning_rate": 2.0833671964482194e-05, + "loss": 0.3228, + "step": 1448 + }, + { + "epoch": 3.2470588235294118, + "grad_norm": 0.5651037693023682, + "learning_rate": 2.0714310427977223e-05, + "loss": 0.3821, + "step": 1449 + }, + { + "epoch": 3.249299719887955, + "grad_norm": 0.5313946604728699, + "learning_rate": 2.0595252282918875e-05, + "loss": 0.3262, + "step": 1450 + }, + { + "epoch": 3.2515406162464986, + "grad_norm": 0.4593634009361267, + "learning_rate": 2.0476497984890254e-05, + "loss": 0.2979, + "step": 1451 + }, + { + "epoch": 3.253781512605042, + "grad_norm": 0.5095701813697815, + "learning_rate": 2.0358047988311855e-05, + "loss": 0.3606, + "step": 1452 + }, + { + "epoch": 3.2560224089635854, + "grad_norm": 0.5032029747962952, + "learning_rate": 2.0239902746439655e-05, + "loss": 0.374, + "step": 1453 + }, + { + "epoch": 3.258263305322129, + "grad_norm": 0.5205835103988647, + "learning_rate": 2.0122062711363532e-05, + "loss": 0.2887, + "step": 1454 + }, + { + "epoch": 3.2605042016806722, + "grad_norm": 0.5046274065971375, + "learning_rate": 2.0004528334005425e-05, + "loss": 0.3156, + "step": 1455 + }, + { + "epoch": 3.2627450980392156, + "grad_norm": 0.5035808086395264, + "learning_rate": 1.9887300064117685e-05, + "loss": 0.3156, + "step": 1456 + }, + { + "epoch": 3.264985994397759, + "grad_norm": 0.5462903380393982, + "learning_rate": 1.977037835028135e-05, + "loss": 0.3427, + "step": 1457 + }, + { + "epoch": 3.2672268907563025, + "grad_norm": 0.5048507452011108, + "learning_rate": 1.9653763639904332e-05, + "loss": 0.2732, + "step": 1458 + }, + { + "epoch": 3.269467787114846, + "grad_norm": 0.47673097252845764, + "learning_rate": 1.9537456379219822e-05, + "loss": 0.2567, + "step": 1459 + }, + { + "epoch": 3.2717086834733893, + "grad_norm": 0.5035359263420105, + "learning_rate": 1.942145701328456e-05, + "loss": 0.3665, + "step": 1460 + }, + { + "epoch": 3.2739495798319327, + "grad_norm": 0.5329445600509644, + "learning_rate": 1.930576598597702e-05, + "loss": 0.376, + "step": 1461 + }, + { + "epoch": 3.276190476190476, + "grad_norm": 0.4860951006412506, + "learning_rate": 1.9190383739995933e-05, + "loss": 0.3073, + "step": 1462 + }, + { + "epoch": 3.2784313725490195, + "grad_norm": 0.47247549891471863, + "learning_rate": 1.9075310716858296e-05, + "loss": 0.2786, + "step": 1463 + }, + { + "epoch": 3.280672268907563, + "grad_norm": 0.4909864664077759, + "learning_rate": 1.8960547356897994e-05, + "loss": 0.2683, + "step": 1464 + }, + { + "epoch": 3.2829131652661063, + "grad_norm": 0.5618079304695129, + "learning_rate": 1.8846094099263912e-05, + "loss": 0.3612, + "step": 1465 + }, + { + "epoch": 3.2851540616246497, + "grad_norm": 0.501299262046814, + "learning_rate": 1.8731951381918254e-05, + "loss": 0.3915, + "step": 1466 + }, + { + "epoch": 3.287394957983193, + "grad_norm": 0.49517005681991577, + "learning_rate": 1.8618119641635046e-05, + "loss": 0.3665, + "step": 1467 + }, + { + "epoch": 3.2896358543417366, + "grad_norm": 0.5231888890266418, + "learning_rate": 1.8504599313998193e-05, + "loss": 0.2925, + "step": 1468 + }, + { + "epoch": 3.29187675070028, + "grad_norm": 0.4742147624492645, + "learning_rate": 1.8391390833400078e-05, + "loss": 0.3054, + "step": 1469 + }, + { + "epoch": 3.2941176470588234, + "grad_norm": 0.5302726030349731, + "learning_rate": 1.8278494633039755e-05, + "loss": 0.315, + "step": 1470 + }, + { + "epoch": 3.296358543417367, + "grad_norm": 0.5143425464630127, + "learning_rate": 1.8165911144921268e-05, + "loss": 0.3221, + "step": 1471 + }, + { + "epoch": 3.29859943977591, + "grad_norm": 0.5551392436027527, + "learning_rate": 1.8053640799852133e-05, + "loss": 0.2964, + "step": 1472 + }, + { + "epoch": 3.3008403361344536, + "grad_norm": 0.5096778273582458, + "learning_rate": 1.794168402744152e-05, + "loss": 0.3129, + "step": 1473 + }, + { + "epoch": 3.303081232492997, + "grad_norm": 0.4849105775356293, + "learning_rate": 1.7830041256098727e-05, + "loss": 0.2482, + "step": 1474 + }, + { + "epoch": 3.3053221288515404, + "grad_norm": 0.4987063705921173, + "learning_rate": 1.7718712913031576e-05, + "loss": 0.2867, + "step": 1475 + }, + { + "epoch": 3.307563025210084, + "grad_norm": 0.4796100854873657, + "learning_rate": 1.7607699424244585e-05, + "loss": 0.2569, + "step": 1476 + }, + { + "epoch": 3.3098039215686272, + "grad_norm": 0.45606860518455505, + "learning_rate": 1.7497001214537567e-05, + "loss": 0.2625, + "step": 1477 + }, + { + "epoch": 3.3120448179271706, + "grad_norm": 0.494193434715271, + "learning_rate": 1.7386618707503822e-05, + "loss": 0.3225, + "step": 1478 + }, + { + "epoch": 3.314285714285714, + "grad_norm": 0.5163410902023315, + "learning_rate": 1.727655232552865e-05, + "loss": 0.3824, + "step": 1479 + }, + { + "epoch": 3.3165266106442575, + "grad_norm": 0.5588418245315552, + "learning_rate": 1.7166802489787703e-05, + "loss": 0.3598, + "step": 1480 + }, + { + "epoch": 3.318767507002801, + "grad_norm": 0.5116986036300659, + "learning_rate": 1.7057369620245255e-05, + "loss": 0.3837, + "step": 1481 + }, + { + "epoch": 3.3210084033613447, + "grad_norm": 0.4864931106567383, + "learning_rate": 1.6948254135652763e-05, + "loss": 0.3507, + "step": 1482 + }, + { + "epoch": 3.323249299719888, + "grad_norm": 0.4962325394153595, + "learning_rate": 1.6839456453547197e-05, + "loss": 0.2934, + "step": 1483 + }, + { + "epoch": 3.3254901960784315, + "grad_norm": 0.5189341306686401, + "learning_rate": 1.673097699024938e-05, + "loss": 0.2809, + "step": 1484 + }, + { + "epoch": 3.327731092436975, + "grad_norm": 0.5099928379058838, + "learning_rate": 1.662281616086252e-05, + "loss": 0.3928, + "step": 1485 + }, + { + "epoch": 3.3299719887955184, + "grad_norm": 0.5059202909469604, + "learning_rate": 1.6514974379270463e-05, + "loss": 0.2721, + "step": 1486 + }, + { + "epoch": 3.3322128851540618, + "grad_norm": 0.5235716104507446, + "learning_rate": 1.6407452058136296e-05, + "loss": 0.3985, + "step": 1487 + }, + { + "epoch": 3.334453781512605, + "grad_norm": 0.5163898468017578, + "learning_rate": 1.6300249608900653e-05, + "loss": 0.3143, + "step": 1488 + }, + { + "epoch": 3.3366946778711486, + "grad_norm": 0.5237816572189331, + "learning_rate": 1.6193367441780072e-05, + "loss": 0.3272, + "step": 1489 + }, + { + "epoch": 3.338935574229692, + "grad_norm": 0.46580880880355835, + "learning_rate": 1.6086805965765628e-05, + "loss": 0.3022, + "step": 1490 + }, + { + "epoch": 3.3411764705882354, + "grad_norm": 0.5433827042579651, + "learning_rate": 1.5980565588621167e-05, + "loss": 0.3055, + "step": 1491 + }, + { + "epoch": 3.343417366946779, + "grad_norm": 0.5032238960266113, + "learning_rate": 1.587464671688187e-05, + "loss": 0.3225, + "step": 1492 + }, + { + "epoch": 3.3456582633053222, + "grad_norm": 0.5025116205215454, + "learning_rate": 1.5769049755852695e-05, + "loss": 0.3026, + "step": 1493 + }, + { + "epoch": 3.3478991596638656, + "grad_norm": 0.5160752534866333, + "learning_rate": 1.5663775109606682e-05, + "loss": 0.3612, + "step": 1494 + }, + { + "epoch": 3.350140056022409, + "grad_norm": 0.5088329911231995, + "learning_rate": 1.555882318098364e-05, + "loss": 0.2974, + "step": 1495 + }, + { + "epoch": 3.3523809523809525, + "grad_norm": 0.5117171406745911, + "learning_rate": 1.5454194371588382e-05, + "loss": 0.3557, + "step": 1496 + }, + { + "epoch": 3.354621848739496, + "grad_norm": 0.49352672696113586, + "learning_rate": 1.5349889081789305e-05, + "loss": 0.3079, + "step": 1497 + }, + { + "epoch": 3.3568627450980393, + "grad_norm": 0.5105598568916321, + "learning_rate": 1.5245907710716911e-05, + "loss": 0.301, + "step": 1498 + }, + { + "epoch": 3.3591036414565827, + "grad_norm": 0.5042920708656311, + "learning_rate": 1.5142250656262102e-05, + "loss": 0.3272, + "step": 1499 + }, + { + "epoch": 3.361344537815126, + "grad_norm": 0.4752902686595917, + "learning_rate": 1.5038918315074823e-05, + "loss": 0.2946, + "step": 1500 + }, + { + "epoch": 3.3635854341736695, + "grad_norm": 0.4981415569782257, + "learning_rate": 1.4935911082562526e-05, + "loss": 0.2782, + "step": 1501 + }, + { + "epoch": 3.365826330532213, + "grad_norm": 0.48810216784477234, + "learning_rate": 1.48332293528885e-05, + "loss": 0.2996, + "step": 1502 + }, + { + "epoch": 3.3680672268907563, + "grad_norm": 0.506481945514679, + "learning_rate": 1.4730873518970567e-05, + "loss": 0.342, + "step": 1503 + }, + { + "epoch": 3.3703081232492997, + "grad_norm": 0.5154193043708801, + "learning_rate": 1.462884397247949e-05, + "loss": 0.3393, + "step": 1504 + }, + { + "epoch": 3.372549019607843, + "grad_norm": 0.47492846846580505, + "learning_rate": 1.4527141103837394e-05, + "loss": 0.2978, + "step": 1505 + }, + { + "epoch": 3.3747899159663866, + "grad_norm": 0.5242098569869995, + "learning_rate": 1.4425765302216466e-05, + "loss": 0.3333, + "step": 1506 + }, + { + "epoch": 3.37703081232493, + "grad_norm": 0.49345725774765015, + "learning_rate": 1.4324716955537243e-05, + "loss": 0.404, + "step": 1507 + }, + { + "epoch": 3.3792717086834734, + "grad_norm": 0.4945824146270752, + "learning_rate": 1.4223996450467292e-05, + "loss": 0.3327, + "step": 1508 + }, + { + "epoch": 3.381512605042017, + "grad_norm": 0.4855903089046478, + "learning_rate": 1.4123604172419713e-05, + "loss": 0.3138, + "step": 1509 + }, + { + "epoch": 3.38375350140056, + "grad_norm": 0.48244035243988037, + "learning_rate": 1.4023540505551513e-05, + "loss": 0.3527, + "step": 1510 + }, + { + "epoch": 3.3859943977591036, + "grad_norm": 0.47287726402282715, + "learning_rate": 1.392380583276237e-05, + "loss": 0.2968, + "step": 1511 + }, + { + "epoch": 3.388235294117647, + "grad_norm": 0.48479315638542175, + "learning_rate": 1.382440053569295e-05, + "loss": 0.2869, + "step": 1512 + }, + { + "epoch": 3.3904761904761904, + "grad_norm": 0.5037336945533752, + "learning_rate": 1.3725324994723599e-05, + "loss": 0.3527, + "step": 1513 + }, + { + "epoch": 3.392717086834734, + "grad_norm": 0.5465932488441467, + "learning_rate": 1.3626579588972844e-05, + "loss": 0.2644, + "step": 1514 + }, + { + "epoch": 3.3949579831932772, + "grad_norm": 0.5092596411705017, + "learning_rate": 1.3528164696295864e-05, + "loss": 0.3084, + "step": 1515 + }, + { + "epoch": 3.3971988795518206, + "grad_norm": 0.49790048599243164, + "learning_rate": 1.3430080693283176e-05, + "loss": 0.2793, + "step": 1516 + }, + { + "epoch": 3.399439775910364, + "grad_norm": 0.47362643480300903, + "learning_rate": 1.333232795525906e-05, + "loss": 0.2861, + "step": 1517 + }, + { + "epoch": 3.4016806722689075, + "grad_norm": 0.5075932741165161, + "learning_rate": 1.3234906856280271e-05, + "loss": 0.3486, + "step": 1518 + }, + { + "epoch": 3.403921568627451, + "grad_norm": 0.5286295413970947, + "learning_rate": 1.3137817769134498e-05, + "loss": 0.3537, + "step": 1519 + }, + { + "epoch": 3.4061624649859943, + "grad_norm": 0.5219296216964722, + "learning_rate": 1.30410610653389e-05, + "loss": 0.3689, + "step": 1520 + }, + { + "epoch": 3.4084033613445377, + "grad_norm": 0.5399391651153564, + "learning_rate": 1.2944637115138858e-05, + "loss": 0.3998, + "step": 1521 + }, + { + "epoch": 3.410644257703081, + "grad_norm": 0.48138535022735596, + "learning_rate": 1.284854628750639e-05, + "loss": 0.2912, + "step": 1522 + }, + { + "epoch": 3.4128851540616245, + "grad_norm": 0.5039439797401428, + "learning_rate": 1.2752788950138795e-05, + "loss": 0.2887, + "step": 1523 + }, + { + "epoch": 3.415126050420168, + "grad_norm": 0.5006201863288879, + "learning_rate": 1.2657365469457294e-05, + "loss": 0.3758, + "step": 1524 + }, + { + "epoch": 3.4173669467787113, + "grad_norm": 0.5308507680892944, + "learning_rate": 1.2562276210605528e-05, + "loss": 0.3257, + "step": 1525 + }, + { + "epoch": 3.4196078431372547, + "grad_norm": 0.4947960376739502, + "learning_rate": 1.2467521537448258e-05, + "loss": 0.3039, + "step": 1526 + }, + { + "epoch": 3.421848739495798, + "grad_norm": 0.5014044046401978, + "learning_rate": 1.2373101812569954e-05, + "loss": 0.3052, + "step": 1527 + }, + { + "epoch": 3.4240896358543416, + "grad_norm": 0.488949716091156, + "learning_rate": 1.2279017397273318e-05, + "loss": 0.2944, + "step": 1528 + }, + { + "epoch": 3.426330532212885, + "grad_norm": 0.5177159309387207, + "learning_rate": 1.218526865157804e-05, + "loss": 0.363, + "step": 1529 + }, + { + "epoch": 3.4285714285714284, + "grad_norm": 0.49510595202445984, + "learning_rate": 1.2091855934219287e-05, + "loss": 0.2772, + "step": 1530 + }, + { + "epoch": 3.4308123249299722, + "grad_norm": 0.5273513197898865, + "learning_rate": 1.1998779602646437e-05, + "loss": 0.3213, + "step": 1531 + }, + { + "epoch": 3.4330532212885156, + "grad_norm": 0.5295618772506714, + "learning_rate": 1.1906040013021668e-05, + "loss": 0.3073, + "step": 1532 + }, + { + "epoch": 3.435294117647059, + "grad_norm": 0.49890249967575073, + "learning_rate": 1.1813637520218567e-05, + "loss": 0.3227, + "step": 1533 + }, + { + "epoch": 3.4375350140056025, + "grad_norm": 0.5022013187408447, + "learning_rate": 1.172157247782083e-05, + "loss": 0.264, + "step": 1534 + }, + { + "epoch": 3.439775910364146, + "grad_norm": 0.5198007822036743, + "learning_rate": 1.162984523812084e-05, + "loss": 0.3696, + "step": 1535 + }, + { + "epoch": 3.4420168067226893, + "grad_norm": 0.48283085227012634, + "learning_rate": 1.1538456152118394e-05, + "loss": 0.3393, + "step": 1536 + }, + { + "epoch": 3.4442577030812327, + "grad_norm": 0.5197485089302063, + "learning_rate": 1.1447405569519343e-05, + "loss": 0.332, + "step": 1537 + }, + { + "epoch": 3.446498599439776, + "grad_norm": 0.5236409902572632, + "learning_rate": 1.1356693838734134e-05, + "loss": 0.309, + "step": 1538 + }, + { + "epoch": 3.4487394957983195, + "grad_norm": 0.5562710762023926, + "learning_rate": 1.1266321306876715e-05, + "loss": 0.3754, + "step": 1539 + }, + { + "epoch": 3.450980392156863, + "grad_norm": 0.5362477898597717, + "learning_rate": 1.1176288319762961e-05, + "loss": 0.3174, + "step": 1540 + }, + { + "epoch": 3.4532212885154063, + "grad_norm": 0.5103979110717773, + "learning_rate": 1.108659522190949e-05, + "loss": 0.3118, + "step": 1541 + }, + { + "epoch": 3.4554621848739497, + "grad_norm": 0.50901198387146, + "learning_rate": 1.0997242356532334e-05, + "loss": 0.366, + "step": 1542 + }, + { + "epoch": 3.457703081232493, + "grad_norm": 0.5197508931159973, + "learning_rate": 1.090823006554561e-05, + "loss": 0.3358, + "step": 1543 + }, + { + "epoch": 3.4599439775910366, + "grad_norm": 0.492330938577652, + "learning_rate": 1.0819558689560162e-05, + "loss": 0.2996, + "step": 1544 + }, + { + "epoch": 3.46218487394958, + "grad_norm": 0.48653674125671387, + "learning_rate": 1.0731228567882345e-05, + "loss": 0.2938, + "step": 1545 + }, + { + "epoch": 3.4644257703081234, + "grad_norm": 0.4968907833099365, + "learning_rate": 1.0643240038512648e-05, + "loss": 0.3225, + "step": 1546 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 0.49113729596138, + "learning_rate": 1.0555593438144462e-05, + "loss": 0.3188, + "step": 1547 + }, + { + "epoch": 3.46890756302521, + "grad_norm": 0.49035486578941345, + "learning_rate": 1.0468289102162788e-05, + "loss": 0.3219, + "step": 1548 + }, + { + "epoch": 3.4711484593837536, + "grad_norm": 0.5363824367523193, + "learning_rate": 1.0381327364642868e-05, + "loss": 0.3436, + "step": 1549 + }, + { + "epoch": 3.473389355742297, + "grad_norm": 0.4808872640132904, + "learning_rate": 1.0294708558349032e-05, + "loss": 0.2866, + "step": 1550 + }, + { + "epoch": 3.4756302521008404, + "grad_norm": 0.5029487013816833, + "learning_rate": 1.020843301473331e-05, + "loss": 0.3274, + "step": 1551 + }, + { + "epoch": 3.477871148459384, + "grad_norm": 0.4880765378475189, + "learning_rate": 1.0122501063934265e-05, + "loss": 0.2799, + "step": 1552 + }, + { + "epoch": 3.4801120448179272, + "grad_norm": 0.489483118057251, + "learning_rate": 1.0036913034775674e-05, + "loss": 0.2412, + "step": 1553 + }, + { + "epoch": 3.4823529411764707, + "grad_norm": 0.4882000982761383, + "learning_rate": 9.951669254765229e-06, + "loss": 0.3137, + "step": 1554 + }, + { + "epoch": 3.484593837535014, + "grad_norm": 0.5280873775482178, + "learning_rate": 9.8667700500934e-06, + "loss": 0.2958, + "step": 1555 + }, + { + "epoch": 3.4868347338935575, + "grad_norm": 0.5196248292922974, + "learning_rate": 9.782215745632062e-06, + "loss": 0.3536, + "step": 1556 + }, + { + "epoch": 3.489075630252101, + "grad_norm": 0.5235616564750671, + "learning_rate": 9.698006664933334e-06, + "loss": 0.3623, + "step": 1557 + }, + { + "epoch": 3.4913165266106443, + "grad_norm": 0.4963836669921875, + "learning_rate": 9.614143130228337e-06, + "loss": 0.4009, + "step": 1558 + }, + { + "epoch": 3.4935574229691877, + "grad_norm": 0.5403072237968445, + "learning_rate": 9.53062546242589e-06, + "loss": 0.3264, + "step": 1559 + }, + { + "epoch": 3.495798319327731, + "grad_norm": 0.5163354873657227, + "learning_rate": 9.447453981111377e-06, + "loss": 0.2678, + "step": 1560 + }, + { + "epoch": 3.4980392156862745, + "grad_norm": 0.49055320024490356, + "learning_rate": 9.364629004545444e-06, + "loss": 0.2964, + "step": 1561 + }, + { + "epoch": 3.500280112044818, + "grad_norm": 0.5296221375465393, + "learning_rate": 9.282150849662841e-06, + "loss": 0.3589, + "step": 1562 + }, + { + "epoch": 3.5025210084033613, + "grad_norm": 0.5263145565986633, + "learning_rate": 9.200019832071183e-06, + "loss": 0.2823, + "step": 1563 + }, + { + "epoch": 3.5047619047619047, + "grad_norm": 0.5274782180786133, + "learning_rate": 9.118236266049707e-06, + "loss": 0.2931, + "step": 1564 + }, + { + "epoch": 3.507002801120448, + "grad_norm": 0.5122701525688171, + "learning_rate": 9.036800464548157e-06, + "loss": 0.3691, + "step": 1565 + }, + { + "epoch": 3.5092436974789916, + "grad_norm": 0.5422523021697998, + "learning_rate": 8.955712739185528e-06, + "loss": 0.2828, + "step": 1566 + }, + { + "epoch": 3.511484593837535, + "grad_norm": 0.5198304653167725, + "learning_rate": 8.87497340024882e-06, + "loss": 0.3212, + "step": 1567 + }, + { + "epoch": 3.5137254901960784, + "grad_norm": 0.5510916113853455, + "learning_rate": 8.794582756691994e-06, + "loss": 0.3262, + "step": 1568 + }, + { + "epoch": 3.515966386554622, + "grad_norm": 0.4485439658164978, + "learning_rate": 8.714541116134644e-06, + "loss": 0.2356, + "step": 1569 + }, + { + "epoch": 3.518207282913165, + "grad_norm": 0.5344375371932983, + "learning_rate": 8.634848784860916e-06, + "loss": 0.3216, + "step": 1570 + }, + { + "epoch": 3.5204481792717086, + "grad_norm": 0.5337797403335571, + "learning_rate": 8.555506067818309e-06, + "loss": 0.3446, + "step": 1571 + }, + { + "epoch": 3.522689075630252, + "grad_norm": 0.5651946067810059, + "learning_rate": 8.47651326861647e-06, + "loss": 0.3058, + "step": 1572 + }, + { + "epoch": 3.5249299719887954, + "grad_norm": 0.5324632525444031, + "learning_rate": 8.397870689526111e-06, + "loss": 0.3393, + "step": 1573 + }, + { + "epoch": 3.527170868347339, + "grad_norm": 0.5105109810829163, + "learning_rate": 8.319578631477732e-06, + "loss": 0.295, + "step": 1574 + }, + { + "epoch": 3.5294117647058822, + "grad_norm": 0.5123990774154663, + "learning_rate": 8.24163739406062e-06, + "loss": 0.3364, + "step": 1575 + }, + { + "epoch": 3.5316526610644257, + "grad_norm": 0.5249026417732239, + "learning_rate": 8.164047275521614e-06, + "loss": 0.3495, + "step": 1576 + }, + { + "epoch": 3.533893557422969, + "grad_norm": 0.49886712431907654, + "learning_rate": 8.086808572763905e-06, + "loss": 0.3283, + "step": 1577 + }, + { + "epoch": 3.5361344537815125, + "grad_norm": 0.4859156608581543, + "learning_rate": 8.00992158134607e-06, + "loss": 0.3131, + "step": 1578 + }, + { + "epoch": 3.538375350140056, + "grad_norm": 0.5594192743301392, + "learning_rate": 7.933386595480751e-06, + "loss": 0.3365, + "step": 1579 + }, + { + "epoch": 3.5406162464985993, + "grad_norm": 0.5278544425964355, + "learning_rate": 7.857203908033683e-06, + "loss": 0.3592, + "step": 1580 + }, + { + "epoch": 3.5428571428571427, + "grad_norm": 0.47834455966949463, + "learning_rate": 7.781373810522518e-06, + "loss": 0.2951, + "step": 1581 + }, + { + "epoch": 3.545098039215686, + "grad_norm": 0.5357972979545593, + "learning_rate": 7.705896593115613e-06, + "loss": 0.3234, + "step": 1582 + }, + { + "epoch": 3.5473389355742295, + "grad_norm": 0.4925597608089447, + "learning_rate": 7.630772544631126e-06, + "loss": 0.3918, + "step": 1583 + }, + { + "epoch": 3.549579831932773, + "grad_norm": 0.5310452580451965, + "learning_rate": 7.556001952535696e-06, + "loss": 0.3532, + "step": 1584 + }, + { + "epoch": 3.5518207282913163, + "grad_norm": 0.526874303817749, + "learning_rate": 7.481585102943478e-06, + "loss": 0.3297, + "step": 1585 + }, + { + "epoch": 3.5540616246498598, + "grad_norm": 0.500822126865387, + "learning_rate": 7.40752228061502e-06, + "loss": 0.2856, + "step": 1586 + }, + { + "epoch": 3.556302521008403, + "grad_norm": 0.5256985425949097, + "learning_rate": 7.333813768956166e-06, + "loss": 0.3163, + "step": 1587 + }, + { + "epoch": 3.5585434173669466, + "grad_norm": 0.5122289657592773, + "learning_rate": 7.260459850016932e-06, + "loss": 0.2944, + "step": 1588 + }, + { + "epoch": 3.56078431372549, + "grad_norm": 0.49651873111724854, + "learning_rate": 7.187460804490531e-06, + "loss": 0.2964, + "step": 1589 + }, + { + "epoch": 3.5630252100840334, + "grad_norm": 0.4774516224861145, + "learning_rate": 7.11481691171213e-06, + "loss": 0.2685, + "step": 1590 + }, + { + "epoch": 3.565266106442577, + "grad_norm": 0.48449984192848206, + "learning_rate": 7.04252844965797e-06, + "loss": 0.2911, + "step": 1591 + }, + { + "epoch": 3.56750700280112, + "grad_norm": 0.5107468962669373, + "learning_rate": 6.970595694944215e-06, + "loss": 0.2835, + "step": 1592 + }, + { + "epoch": 3.5697478991596636, + "grad_norm": 0.4947790503501892, + "learning_rate": 6.8990189228258175e-06, + "loss": 0.2811, + "step": 1593 + }, + { + "epoch": 3.571988795518207, + "grad_norm": 0.5385218858718872, + "learning_rate": 6.827798407195629e-06, + "loss": 0.3666, + "step": 1594 + }, + { + "epoch": 3.5742296918767504, + "grad_norm": 0.48303043842315674, + "learning_rate": 6.7569344205831944e-06, + "loss": 0.286, + "step": 1595 + }, + { + "epoch": 3.576470588235294, + "grad_norm": 0.5108868479728699, + "learning_rate": 6.686427234153814e-06, + "loss": 0.3274, + "step": 1596 + }, + { + "epoch": 3.5787114845938377, + "grad_norm": 0.5280871391296387, + "learning_rate": 6.616277117707492e-06, + "loss": 0.3611, + "step": 1597 + }, + { + "epoch": 3.580952380952381, + "grad_norm": 0.5010290145874023, + "learning_rate": 6.546484339677816e-06, + "loss": 0.3517, + "step": 1598 + }, + { + "epoch": 3.5831932773109245, + "grad_norm": 0.54563307762146, + "learning_rate": 6.477049167131078e-06, + "loss": 0.2955, + "step": 1599 + }, + { + "epoch": 3.585434173669468, + "grad_norm": 0.5185465216636658, + "learning_rate": 6.407971865765095e-06, + "loss": 0.3276, + "step": 1600 + }, + { + "epoch": 3.5876750700280113, + "grad_norm": 0.4986809492111206, + "learning_rate": 6.339252699908316e-06, + "loss": 0.3643, + "step": 1601 + }, + { + "epoch": 3.5899159663865547, + "grad_norm": 0.5016200542449951, + "learning_rate": 6.270891932518774e-06, + "loss": 0.3133, + "step": 1602 + }, + { + "epoch": 3.592156862745098, + "grad_norm": 0.49007636308670044, + "learning_rate": 6.202889825183012e-06, + "loss": 0.3018, + "step": 1603 + }, + { + "epoch": 3.5943977591036416, + "grad_norm": 0.5348801612854004, + "learning_rate": 6.1352466381152e-06, + "loss": 0.3904, + "step": 1604 + }, + { + "epoch": 3.596638655462185, + "grad_norm": 0.4890103340148926, + "learning_rate": 6.067962630156021e-06, + "loss": 0.3201, + "step": 1605 + }, + { + "epoch": 3.5988795518207284, + "grad_norm": 0.5878158807754517, + "learning_rate": 6.00103805877178e-06, + "loss": 0.3812, + "step": 1606 + }, + { + "epoch": 3.601120448179272, + "grad_norm": 0.4529760777950287, + "learning_rate": 5.934473180053379e-06, + "loss": 0.2629, + "step": 1607 + }, + { + "epoch": 3.603361344537815, + "grad_norm": 0.49264243245124817, + "learning_rate": 5.868268248715292e-06, + "loss": 0.2855, + "step": 1608 + }, + { + "epoch": 3.6056022408963586, + "grad_norm": 0.4949231445789337, + "learning_rate": 5.802423518094679e-06, + "loss": 0.3091, + "step": 1609 + }, + { + "epoch": 3.607843137254902, + "grad_norm": 0.49160170555114746, + "learning_rate": 5.736939240150363e-06, + "loss": 0.3414, + "step": 1610 + }, + { + "epoch": 3.6100840336134454, + "grad_norm": 0.5050642490386963, + "learning_rate": 5.671815665461822e-06, + "loss": 0.3255, + "step": 1611 + }, + { + "epoch": 3.612324929971989, + "grad_norm": 0.48165473341941833, + "learning_rate": 5.607053043228361e-06, + "loss": 0.2379, + "step": 1612 + }, + { + "epoch": 3.6145658263305322, + "grad_norm": 0.5584245324134827, + "learning_rate": 5.542651621268002e-06, + "loss": 0.3609, + "step": 1613 + }, + { + "epoch": 3.6168067226890757, + "grad_norm": 0.5004221200942993, + "learning_rate": 5.4786116460166735e-06, + "loss": 0.278, + "step": 1614 + }, + { + "epoch": 3.619047619047619, + "grad_norm": 0.5497291088104248, + "learning_rate": 5.414933362527186e-06, + "loss": 0.4584, + "step": 1615 + }, + { + "epoch": 3.6212885154061625, + "grad_norm": 0.49356043338775635, + "learning_rate": 5.3516170144682794e-06, + "loss": 0.2884, + "step": 1616 + }, + { + "epoch": 3.623529411764706, + "grad_norm": 0.5000901818275452, + "learning_rate": 5.288662844123804e-06, + "loss": 0.3139, + "step": 1617 + }, + { + "epoch": 3.6257703081232493, + "grad_norm": 0.5095763802528381, + "learning_rate": 5.226071092391616e-06, + "loss": 0.3359, + "step": 1618 + }, + { + "epoch": 3.6280112044817927, + "grad_norm": 0.4908026456832886, + "learning_rate": 5.163841998782837e-06, + "loss": 0.2684, + "step": 1619 + }, + { + "epoch": 3.630252100840336, + "grad_norm": 0.5164638161659241, + "learning_rate": 5.101975801420844e-06, + "loss": 0.306, + "step": 1620 + }, + { + "epoch": 3.6324929971988795, + "grad_norm": 0.5083168148994446, + "learning_rate": 5.040472737040314e-06, + "loss": 0.3156, + "step": 1621 + }, + { + "epoch": 3.634733893557423, + "grad_norm": 0.5322275161743164, + "learning_rate": 4.979333040986434e-06, + "loss": 0.3916, + "step": 1622 + }, + { + "epoch": 3.6369747899159663, + "grad_norm": 0.5013951063156128, + "learning_rate": 4.918556947213903e-06, + "loss": 0.3342, + "step": 1623 + }, + { + "epoch": 3.6392156862745098, + "grad_norm": 0.47269898653030396, + "learning_rate": 4.858144688286104e-06, + "loss": 0.2806, + "step": 1624 + }, + { + "epoch": 3.641456582633053, + "grad_norm": 0.5120174288749695, + "learning_rate": 4.798096495374171e-06, + "loss": 0.3782, + "step": 1625 + }, + { + "epoch": 3.6436974789915966, + "grad_norm": 0.5090568661689758, + "learning_rate": 4.738412598256103e-06, + "loss": 0.3055, + "step": 1626 + }, + { + "epoch": 3.64593837535014, + "grad_norm": 0.5153965353965759, + "learning_rate": 4.679093225315911e-06, + "loss": 0.3555, + "step": 1627 + }, + { + "epoch": 3.6481792717086834, + "grad_norm": 0.5006532073020935, + "learning_rate": 4.620138603542778e-06, + "loss": 0.4094, + "step": 1628 + }, + { + "epoch": 3.650420168067227, + "grad_norm": 0.5112378597259521, + "learning_rate": 4.561548958530026e-06, + "loss": 0.3049, + "step": 1629 + }, + { + "epoch": 3.65266106442577, + "grad_norm": 0.46071749925613403, + "learning_rate": 4.503324514474483e-06, + "loss": 0.2716, + "step": 1630 + }, + { + "epoch": 3.6549019607843136, + "grad_norm": 0.5265341997146606, + "learning_rate": 4.445465494175483e-06, + "loss": 0.3631, + "step": 1631 + }, + { + "epoch": 3.657142857142857, + "grad_norm": 0.5053375959396362, + "learning_rate": 4.387972119034023e-06, + "loss": 0.2962, + "step": 1632 + }, + { + "epoch": 3.6593837535014004, + "grad_norm": 0.5016251802444458, + "learning_rate": 4.330844609051976e-06, + "loss": 0.286, + "step": 1633 + }, + { + "epoch": 3.661624649859944, + "grad_norm": 0.5465396642684937, + "learning_rate": 4.274083182831157e-06, + "loss": 0.3243, + "step": 1634 + }, + { + "epoch": 3.6638655462184873, + "grad_norm": 0.5130282640457153, + "learning_rate": 4.217688057572566e-06, + "loss": 0.3383, + "step": 1635 + }, + { + "epoch": 3.6661064425770307, + "grad_norm": 0.49420613050460815, + "learning_rate": 4.161659449075572e-06, + "loss": 0.3067, + "step": 1636 + }, + { + "epoch": 3.668347338935574, + "grad_norm": 0.4899296164512634, + "learning_rate": 4.1059975717369525e-06, + "loss": 0.2694, + "step": 1637 + }, + { + "epoch": 3.6705882352941175, + "grad_norm": 0.5201189517974854, + "learning_rate": 4.050702638550275e-06, + "loss": 0.2967, + "step": 1638 + }, + { + "epoch": 3.6728291316526613, + "grad_norm": 0.5312135219573975, + "learning_rate": 3.995774861104862e-06, + "loss": 0.3905, + "step": 1639 + }, + { + "epoch": 3.6750700280112047, + "grad_norm": 0.5016084313392639, + "learning_rate": 3.941214449585184e-06, + "loss": 0.3201, + "step": 1640 + }, + { + "epoch": 3.677310924369748, + "grad_norm": 0.5788432955741882, + "learning_rate": 3.887021612769936e-06, + "loss": 0.3894, + "step": 1641 + }, + { + "epoch": 3.6795518207282916, + "grad_norm": 0.5225359797477722, + "learning_rate": 3.833196558031215e-06, + "loss": 0.2711, + "step": 1642 + }, + { + "epoch": 3.681792717086835, + "grad_norm": 0.532660722732544, + "learning_rate": 3.779739491333878e-06, + "loss": 0.3712, + "step": 1643 + }, + { + "epoch": 3.6840336134453784, + "grad_norm": 0.5626155138015747, + "learning_rate": 3.7266506172345504e-06, + "loss": 0.3388, + "step": 1644 + }, + { + "epoch": 3.686274509803922, + "grad_norm": 0.49810948967933655, + "learning_rate": 3.673930138880999e-06, + "loss": 0.3138, + "step": 1645 + }, + { + "epoch": 3.688515406162465, + "grad_norm": 0.5347641110420227, + "learning_rate": 3.621578258011338e-06, + "loss": 0.3446, + "step": 1646 + }, + { + "epoch": 3.6907563025210086, + "grad_norm": 0.5246303677558899, + "learning_rate": 3.569595174953122e-06, + "loss": 0.359, + "step": 1647 + }, + { + "epoch": 3.692997198879552, + "grad_norm": 0.5183006525039673, + "learning_rate": 3.5179810886227683e-06, + "loss": 0.27, + "step": 1648 + }, + { + "epoch": 3.6952380952380954, + "grad_norm": 0.5006906986236572, + "learning_rate": 3.4667361965246893e-06, + "loss": 0.3376, + "step": 1649 + }, + { + "epoch": 3.697478991596639, + "grad_norm": 0.4993346333503723, + "learning_rate": 3.4158606947504946e-06, + "loss": 0.3505, + "step": 1650 + }, + { + "epoch": 3.6997198879551823, + "grad_norm": 0.4844392240047455, + "learning_rate": 3.36535477797838e-06, + "loss": 0.2712, + "step": 1651 + }, + { + "epoch": 3.7019607843137257, + "grad_norm": 0.5038127899169922, + "learning_rate": 3.3152186394722505e-06, + "loss": 0.3088, + "step": 1652 + }, + { + "epoch": 3.704201680672269, + "grad_norm": 0.4942805767059326, + "learning_rate": 3.265452471081043e-06, + "loss": 0.3141, + "step": 1653 + }, + { + "epoch": 3.7064425770308125, + "grad_norm": 0.5184381008148193, + "learning_rate": 3.216056463238004e-06, + "loss": 0.3179, + "step": 1654 + }, + { + "epoch": 3.708683473389356, + "grad_norm": 0.5183121562004089, + "learning_rate": 3.167030804959892e-06, + "loss": 0.3106, + "step": 1655 + }, + { + "epoch": 3.7109243697478993, + "grad_norm": 0.5068531036376953, + "learning_rate": 3.118375683846353e-06, + "loss": 0.2935, + "step": 1656 + }, + { + "epoch": 3.7131652661064427, + "grad_norm": 0.5070680379867554, + "learning_rate": 3.0700912860791133e-06, + "loss": 0.3626, + "step": 1657 + }, + { + "epoch": 3.715406162464986, + "grad_norm": 0.5319307446479797, + "learning_rate": 3.0221777964213218e-06, + "loss": 0.3715, + "step": 1658 + }, + { + "epoch": 3.7176470588235295, + "grad_norm": 0.5218191146850586, + "learning_rate": 2.9746353982168296e-06, + "loss": 0.3089, + "step": 1659 + }, + { + "epoch": 3.719887955182073, + "grad_norm": 0.43723905086517334, + "learning_rate": 2.9274642733894575e-06, + "loss": 0.2818, + "step": 1660 + }, + { + "epoch": 3.7221288515406163, + "grad_norm": 0.4890228807926178, + "learning_rate": 2.8806646024423625e-06, + "loss": 0.2933, + "step": 1661 + }, + { + "epoch": 3.7243697478991598, + "grad_norm": 0.5066292881965637, + "learning_rate": 2.834236564457271e-06, + "loss": 0.3237, + "step": 1662 + }, + { + "epoch": 3.726610644257703, + "grad_norm": 0.5697019696235657, + "learning_rate": 2.7881803370938597e-06, + "loss": 0.3053, + "step": 1663 + }, + { + "epoch": 3.7288515406162466, + "grad_norm": 0.5492777824401855, + "learning_rate": 2.7424960965890757e-06, + "loss": 0.3121, + "step": 1664 + }, + { + "epoch": 3.73109243697479, + "grad_norm": 0.5095202922821045, + "learning_rate": 2.69718401775636e-06, + "loss": 0.284, + "step": 1665 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 0.49537184834480286, + "learning_rate": 2.652244273985127e-06, + "loss": 0.3473, + "step": 1666 + }, + { + "epoch": 3.735574229691877, + "grad_norm": 0.5236712694168091, + "learning_rate": 2.607677037239997e-06, + "loss": 0.343, + "step": 1667 + }, + { + "epoch": 3.73781512605042, + "grad_norm": 0.5086633563041687, + "learning_rate": 2.563482478060175e-06, + "loss": 0.3102, + "step": 1668 + }, + { + "epoch": 3.7400560224089636, + "grad_norm": 0.48738694190979004, + "learning_rate": 2.5196607655587843e-06, + "loss": 0.3245, + "step": 1669 + }, + { + "epoch": 3.742296918767507, + "grad_norm": 0.4682438373565674, + "learning_rate": 2.4762120674222454e-06, + "loss": 0.2833, + "step": 1670 + }, + { + "epoch": 3.7445378151260504, + "grad_norm": 0.5229034423828125, + "learning_rate": 2.433136549909609e-06, + "loss": 0.3569, + "step": 1671 + }, + { + "epoch": 3.746778711484594, + "grad_norm": 0.5205514430999756, + "learning_rate": 2.3904343778519247e-06, + "loss": 0.4059, + "step": 1672 + }, + { + "epoch": 3.7490196078431373, + "grad_norm": 0.5254533886909485, + "learning_rate": 2.3481057146516163e-06, + "loss": 0.3231, + "step": 1673 + }, + { + "epoch": 3.7512605042016807, + "grad_norm": 0.4299777150154114, + "learning_rate": 2.30615072228183e-06, + "loss": 0.2019, + "step": 1674 + }, + { + "epoch": 3.753501400560224, + "grad_norm": 0.4897386133670807, + "learning_rate": 2.2645695612859006e-06, + "loss": 0.2801, + "step": 1675 + }, + { + "epoch": 3.7557422969187675, + "grad_norm": 0.5306016802787781, + "learning_rate": 2.2233623907765953e-06, + "loss": 0.3388, + "step": 1676 + }, + { + "epoch": 3.757983193277311, + "grad_norm": 0.5430422425270081, + "learning_rate": 2.1825293684356596e-06, + "loss": 0.3677, + "step": 1677 + }, + { + "epoch": 3.7602240896358543, + "grad_norm": 0.5165645480155945, + "learning_rate": 2.1420706505130727e-06, + "loss": 0.3276, + "step": 1678 + }, + { + "epoch": 3.7624649859943977, + "grad_norm": 0.5188968181610107, + "learning_rate": 2.1019863918265604e-06, + "loss": 0.3624, + "step": 1679 + }, + { + "epoch": 3.764705882352941, + "grad_norm": 0.5271095037460327, + "learning_rate": 2.0622767457609384e-06, + "loss": 0.2326, + "step": 1680 + }, + { + "epoch": 3.7669467787114845, + "grad_norm": 0.4938453733921051, + "learning_rate": 2.0229418642675468e-06, + "loss": 0.3424, + "step": 1681 + }, + { + "epoch": 3.769187675070028, + "grad_norm": 0.5172697305679321, + "learning_rate": 1.9839818978636846e-06, + "loss": 0.2673, + "step": 1682 + }, + { + "epoch": 3.7714285714285714, + "grad_norm": 0.49993565678596497, + "learning_rate": 1.945396995631976e-06, + "loss": 0.3113, + "step": 1683 + }, + { + "epoch": 3.7736694677871148, + "grad_norm": 0.526543378829956, + "learning_rate": 1.9071873052198818e-06, + "loss": 0.3239, + "step": 1684 + }, + { + "epoch": 3.775910364145658, + "grad_norm": 0.5481308102607727, + "learning_rate": 1.869352972839067e-06, + "loss": 0.3914, + "step": 1685 + }, + { + "epoch": 3.7781512605042016, + "grad_norm": 0.5208120346069336, + "learning_rate": 1.8318941432648784e-06, + "loss": 0.3432, + "step": 1686 + }, + { + "epoch": 3.780392156862745, + "grad_norm": 0.5143682360649109, + "learning_rate": 1.7948109598357687e-06, + "loss": 0.3427, + "step": 1687 + }, + { + "epoch": 3.7826330532212884, + "grad_norm": 0.5465134382247925, + "learning_rate": 1.7581035644527622e-06, + "loss": 0.3448, + "step": 1688 + }, + { + "epoch": 3.784873949579832, + "grad_norm": 0.4959924519062042, + "learning_rate": 1.7217720975789109e-06, + "loss": 0.3214, + "step": 1689 + }, + { + "epoch": 3.787114845938375, + "grad_norm": 0.5420598983764648, + "learning_rate": 1.6858166982387625e-06, + "loss": 0.3234, + "step": 1690 + }, + { + "epoch": 3.7893557422969186, + "grad_norm": 0.49866729974746704, + "learning_rate": 1.6502375040177932e-06, + "loss": 0.3021, + "step": 1691 + }, + { + "epoch": 3.791596638655462, + "grad_norm": 0.4933297634124756, + "learning_rate": 1.6150346510619196e-06, + "loss": 0.2809, + "step": 1692 + }, + { + "epoch": 3.7938375350140054, + "grad_norm": 0.5438006520271301, + "learning_rate": 1.5802082740769996e-06, + "loss": 0.3729, + "step": 1693 + }, + { + "epoch": 3.796078431372549, + "grad_norm": 0.5187151432037354, + "learning_rate": 1.545758506328232e-06, + "loss": 0.2895, + "step": 1694 + }, + { + "epoch": 3.7983193277310923, + "grad_norm": 0.5089645385742188, + "learning_rate": 1.5116854796397128e-06, + "loss": 0.3403, + "step": 1695 + }, + { + "epoch": 3.8005602240896357, + "grad_norm": 0.5395788550376892, + "learning_rate": 1.4779893243939359e-06, + "loss": 0.396, + "step": 1696 + }, + { + "epoch": 3.802801120448179, + "grad_norm": 0.48329147696495056, + "learning_rate": 1.4446701695312593e-06, + "loss": 0.3309, + "step": 1697 + }, + { + "epoch": 3.8050420168067225, + "grad_norm": 0.5107542276382446, + "learning_rate": 1.4117281425494177e-06, + "loss": 0.3059, + "step": 1698 + }, + { + "epoch": 3.807282913165266, + "grad_norm": 0.4891527593135834, + "learning_rate": 1.379163369503067e-06, + "loss": 0.2984, + "step": 1699 + }, + { + "epoch": 3.8095238095238093, + "grad_norm": 0.5846236348152161, + "learning_rate": 1.3469759750032507e-06, + "loss": 0.3708, + "step": 1700 + }, + { + "epoch": 3.8117647058823527, + "grad_norm": 0.513122022151947, + "learning_rate": 1.3151660822169786e-06, + "loss": 0.3146, + "step": 1701 + }, + { + "epoch": 3.814005602240896, + "grad_norm": 0.527151346206665, + "learning_rate": 1.2837338128666942e-06, + "loss": 0.3167, + "step": 1702 + }, + { + "epoch": 3.8162464985994395, + "grad_norm": 0.4634439945220947, + "learning_rate": 1.2526792872298854e-06, + "loss": 0.2258, + "step": 1703 + }, + { + "epoch": 3.818487394957983, + "grad_norm": 0.511427640914917, + "learning_rate": 1.2220026241385296e-06, + "loss": 0.3451, + "step": 1704 + }, + { + "epoch": 3.8207282913165264, + "grad_norm": 0.4955032467842102, + "learning_rate": 1.19170394097875e-06, + "loss": 0.2563, + "step": 1705 + }, + { + "epoch": 3.8229691876750698, + "grad_norm": 0.5243468284606934, + "learning_rate": 1.161783353690249e-06, + "loss": 0.3343, + "step": 1706 + }, + { + "epoch": 3.825210084033613, + "grad_norm": 0.4409022629261017, + "learning_rate": 1.1322409767659525e-06, + "loss": 0.2348, + "step": 1707 + }, + { + "epoch": 3.8274509803921566, + "grad_norm": 0.5178284645080566, + "learning_rate": 1.1030769232515558e-06, + "loss": 0.3483, + "step": 1708 + }, + { + "epoch": 3.8296918767507004, + "grad_norm": 0.48766401410102844, + "learning_rate": 1.0742913047450453e-06, + "loss": 0.2808, + "step": 1709 + }, + { + "epoch": 3.831932773109244, + "grad_norm": 0.5402014255523682, + "learning_rate": 1.0458842313963103e-06, + "loss": 0.2998, + "step": 1710 + }, + { + "epoch": 3.8341736694677873, + "grad_norm": 0.509601891040802, + "learning_rate": 1.0178558119067315e-06, + "loss": 0.3254, + "step": 1711 + }, + { + "epoch": 3.8364145658263307, + "grad_norm": 0.4919833838939667, + "learning_rate": 9.902061535287278e-07, + "loss": 0.3196, + "step": 1712 + }, + { + "epoch": 3.838655462184874, + "grad_norm": 0.49830904603004456, + "learning_rate": 9.62935362065387e-07, + "loss": 0.3646, + "step": 1713 + }, + { + "epoch": 3.8408963585434175, + "grad_norm": 0.5434770584106445, + "learning_rate": 9.36043541870013e-07, + "loss": 0.3145, + "step": 1714 + }, + { + "epoch": 3.843137254901961, + "grad_norm": 0.47657543420791626, + "learning_rate": 9.095307958457922e-07, + "loss": 0.2811, + "step": 1715 + }, + { + "epoch": 3.8453781512605043, + "grad_norm": 0.465218186378479, + "learning_rate": 8.833972254453148e-07, + "loss": 0.2568, + "step": 1716 + }, + { + "epoch": 3.8476190476190477, + "grad_norm": 0.516599178314209, + "learning_rate": 8.57642930670266e-07, + "loss": 0.334, + "step": 1717 + }, + { + "epoch": 3.849859943977591, + "grad_norm": 0.510119616985321, + "learning_rate": 8.322680100710023e-07, + "loss": 0.3656, + "step": 1718 + }, + { + "epoch": 3.8521008403361345, + "grad_norm": 0.4808863401412964, + "learning_rate": 8.072725607461751e-07, + "loss": 0.254, + "step": 1719 + }, + { + "epoch": 3.854341736694678, + "grad_norm": 0.5493239164352417, + "learning_rate": 7.826566783423638e-07, + "loss": 0.4214, + "step": 1720 + }, + { + "epoch": 3.8565826330532214, + "grad_norm": 0.5159296989440918, + "learning_rate": 7.584204570537213e-07, + "loss": 0.3546, + "step": 1721 + }, + { + "epoch": 3.8588235294117648, + "grad_norm": 0.4843482971191406, + "learning_rate": 7.345639896216172e-07, + "loss": 0.3071, + "step": 1722 + }, + { + "epoch": 3.861064425770308, + "grad_norm": 0.5348774790763855, + "learning_rate": 7.110873673342289e-07, + "loss": 0.3948, + "step": 1723 + }, + { + "epoch": 3.8633053221288516, + "grad_norm": 0.48131999373435974, + "learning_rate": 6.879906800262848e-07, + "loss": 0.3265, + "step": 1724 + }, + { + "epoch": 3.865546218487395, + "grad_norm": 0.5593771934509277, + "learning_rate": 6.65274016078632e-07, + "loss": 0.3428, + "step": 1725 + }, + { + "epoch": 3.8677871148459384, + "grad_norm": 0.4938508868217468, + "learning_rate": 6.429374624179474e-07, + "loss": 0.2848, + "step": 1726 + }, + { + "epoch": 3.870028011204482, + "grad_norm": 0.5510792136192322, + "learning_rate": 6.209811045163938e-07, + "loss": 0.3332, + "step": 1727 + }, + { + "epoch": 3.872268907563025, + "grad_norm": 0.5280547738075256, + "learning_rate": 5.994050263912976e-07, + "loss": 0.3873, + "step": 1728 + }, + { + "epoch": 3.8745098039215686, + "grad_norm": 0.5548211932182312, + "learning_rate": 5.782093106048159e-07, + "loss": 0.3614, + "step": 1729 + }, + { + "epoch": 3.876750700280112, + "grad_norm": 0.4894237518310547, + "learning_rate": 5.573940382636145e-07, + "loss": 0.3455, + "step": 1730 + }, + { + "epoch": 3.8789915966386554, + "grad_norm": 0.5034498572349548, + "learning_rate": 5.369592890185793e-07, + "loss": 0.2928, + "step": 1731 + }, + { + "epoch": 3.881232492997199, + "grad_norm": 0.5481503009796143, + "learning_rate": 5.169051410645276e-07, + "loss": 0.3238, + "step": 1732 + }, + { + "epoch": 3.8834733893557423, + "grad_norm": 0.5026142001152039, + "learning_rate": 4.972316711398417e-07, + "loss": 0.3135, + "step": 1733 + }, + { + "epoch": 3.8857142857142857, + "grad_norm": 0.5525529384613037, + "learning_rate": 4.779389545262358e-07, + "loss": 0.3316, + "step": 1734 + }, + { + "epoch": 3.887955182072829, + "grad_norm": 0.4901587665081024, + "learning_rate": 4.5902706504845626e-07, + "loss": 0.2952, + "step": 1735 + }, + { + "epoch": 3.8901960784313725, + "grad_norm": 0.49488624930381775, + "learning_rate": 4.404960750739706e-07, + "loss": 0.2775, + "step": 1736 + }, + { + "epoch": 3.892436974789916, + "grad_norm": 0.4516642689704895, + "learning_rate": 4.2234605551272345e-07, + "loss": 0.2038, + "step": 1737 + }, + { + "epoch": 3.8946778711484593, + "grad_norm": 0.5273248553276062, + "learning_rate": 4.0457707581686986e-07, + "loss": 0.4508, + "step": 1738 + }, + { + "epoch": 3.8969187675070027, + "grad_norm": 0.5115185976028442, + "learning_rate": 3.8718920398045364e-07, + "loss": 0.305, + "step": 1739 + }, + { + "epoch": 3.899159663865546, + "grad_norm": 0.4715082049369812, + "learning_rate": 3.701825065392184e-07, + "loss": 0.2404, + "step": 1740 + }, + { + "epoch": 3.9014005602240895, + "grad_norm": 0.49297869205474854, + "learning_rate": 3.535570485703188e-07, + "loss": 0.2649, + "step": 1741 + }, + { + "epoch": 3.903641456582633, + "grad_norm": 0.5561415553092957, + "learning_rate": 3.373128936920655e-07, + "loss": 0.4075, + "step": 1742 + }, + { + "epoch": 3.9058823529411764, + "grad_norm": 0.48909175395965576, + "learning_rate": 3.214501040636919e-07, + "loss": 0.2875, + "step": 1743 + }, + { + "epoch": 3.9081232492997198, + "grad_norm": 0.5290626883506775, + "learning_rate": 3.059687403850986e-07, + "loss": 0.3302, + "step": 1744 + }, + { + "epoch": 3.910364145658263, + "grad_norm": 0.4639118015766144, + "learning_rate": 2.9086886189666485e-07, + "loss": 0.2285, + "step": 1745 + }, + { + "epoch": 3.9126050420168066, + "grad_norm": 0.5463100671768188, + "learning_rate": 2.7615052637898207e-07, + "loss": 0.3251, + "step": 1746 + }, + { + "epoch": 3.91484593837535, + "grad_norm": 0.4998588263988495, + "learning_rate": 2.6181379015265405e-07, + "loss": 0.3504, + "step": 1747 + }, + { + "epoch": 3.9170868347338934, + "grad_norm": 0.560591459274292, + "learning_rate": 2.4785870807803034e-07, + "loss": 0.427, + "step": 1748 + }, + { + "epoch": 3.919327731092437, + "grad_norm": 0.503947377204895, + "learning_rate": 2.342853335551065e-07, + "loss": 0.2913, + "step": 1749 + }, + { + "epoch": 3.9215686274509802, + "grad_norm": 0.5063248872756958, + "learning_rate": 2.2109371852317984e-07, + "loss": 0.3098, + "step": 1750 + }, + { + "epoch": 3.923809523809524, + "grad_norm": 0.5633047223091125, + "learning_rate": 2.082839134607828e-07, + "loss": 0.2897, + "step": 1751 + }, + { + "epoch": 3.9260504201680675, + "grad_norm": 0.5066371560096741, + "learning_rate": 1.9585596738539437e-07, + "loss": 0.3306, + "step": 1752 + }, + { + "epoch": 3.928291316526611, + "grad_norm": 0.5384705066680908, + "learning_rate": 1.8380992785328456e-07, + "loss": 0.2894, + "step": 1753 + }, + { + "epoch": 3.9305322128851543, + "grad_norm": 0.5192012786865234, + "learning_rate": 1.7214584095937015e-07, + "loss": 0.3264, + "step": 1754 + }, + { + "epoch": 3.9327731092436977, + "grad_norm": 0.46149784326553345, + "learning_rate": 1.608637513369593e-07, + "loss": 0.2585, + "step": 1755 + }, + { + "epoch": 3.935014005602241, + "grad_norm": 0.4902362823486328, + "learning_rate": 1.4996370215765166e-07, + "loss": 0.2835, + "step": 1756 + }, + { + "epoch": 3.9372549019607845, + "grad_norm": 0.5408087372779846, + "learning_rate": 1.3944573513113844e-07, + "loss": 0.3658, + "step": 1757 + }, + { + "epoch": 3.939495798319328, + "grad_norm": 0.547758162021637, + "learning_rate": 1.2930989050504716e-07, + "loss": 0.3178, + "step": 1758 + }, + { + "epoch": 3.9417366946778714, + "grad_norm": 0.5375306606292725, + "learning_rate": 1.195562070647971e-07, + "loss": 0.3045, + "step": 1759 + }, + { + "epoch": 3.9439775910364148, + "grad_norm": 0.5129905343055725, + "learning_rate": 1.101847221334551e-07, + "loss": 0.2893, + "step": 1760 + }, + { + "epoch": 3.946218487394958, + "grad_norm": 0.5404637455940247, + "learning_rate": 1.0119547157154685e-07, + "loss": 0.3241, + "step": 1761 + }, + { + "epoch": 3.9484593837535016, + "grad_norm": 0.5064300894737244, + "learning_rate": 9.258848977700129e-08, + "loss": 0.3565, + "step": 1762 + }, + { + "epoch": 3.950700280112045, + "grad_norm": 0.49689432978630066, + "learning_rate": 8.436380968493973e-08, + "loss": 0.3334, + "step": 1763 + }, + { + "epoch": 3.9529411764705884, + "grad_norm": 0.513073742389679, + "learning_rate": 7.652146276759809e-08, + "loss": 0.3639, + "step": 1764 + }, + { + "epoch": 3.955182072829132, + "grad_norm": 0.5178735256195068, + "learning_rate": 6.906147903418259e-08, + "loss": 0.3502, + "step": 1765 + }, + { + "epoch": 3.957422969187675, + "grad_norm": 0.5227265357971191, + "learning_rate": 6.198388703076984e-08, + "loss": 0.3339, + "step": 1766 + }, + { + "epoch": 3.9596638655462186, + "grad_norm": 0.45623743534088135, + "learning_rate": 5.528871384018475e-08, + "loss": 0.2811, + "step": 1767 + }, + { + "epoch": 3.961904761904762, + "grad_norm": 0.48799389600753784, + "learning_rate": 4.897598508192269e-08, + "loss": 0.2744, + "step": 1768 + }, + { + "epoch": 3.9641456582633054, + "grad_norm": 0.5025047659873962, + "learning_rate": 4.3045724912005316e-08, + "loss": 0.2826, + "step": 1769 + }, + { + "epoch": 3.966386554621849, + "grad_norm": 0.4521445035934448, + "learning_rate": 3.7497956022947143e-08, + "loss": 0.236, + "step": 1770 + }, + { + "epoch": 3.9686274509803923, + "grad_norm": 0.4815988540649414, + "learning_rate": 3.2332699643589096e-08, + "loss": 0.2832, + "step": 1771 + }, + { + "epoch": 3.9708683473389357, + "grad_norm": 0.5072498917579651, + "learning_rate": 2.7549975539120642e-08, + "loss": 0.3332, + "step": 1772 + }, + { + "epoch": 3.973109243697479, + "grad_norm": 0.5606537461280823, + "learning_rate": 2.3149802010913323e-08, + "loss": 0.4032, + "step": 1773 + }, + { + "epoch": 3.9753501400560225, + "grad_norm": 0.5342161059379578, + "learning_rate": 1.9132195896498505e-08, + "loss": 0.3142, + "step": 1774 + }, + { + "epoch": 3.977591036414566, + "grad_norm": 0.5100846290588379, + "learning_rate": 1.549717256947858e-08, + "loss": 0.3284, + "step": 1775 + }, + { + "epoch": 3.9798319327731093, + "grad_norm": 0.5742179155349731, + "learning_rate": 1.2244745939493652e-08, + "loss": 0.4306, + "step": 1776 + }, + { + "epoch": 3.9820728291316527, + "grad_norm": 0.48982709646224976, + "learning_rate": 9.37492845215493e-09, + "loss": 0.2413, + "step": 1777 + }, + { + "epoch": 3.984313725490196, + "grad_norm": 0.5251598358154297, + "learning_rate": 6.887731088978111e-09, + "loss": 0.3578, + "step": 1778 + }, + { + "epoch": 3.9865546218487395, + "grad_norm": 0.4947164058685303, + "learning_rate": 4.7831633673833806e-09, + "loss": 0.2403, + "step": 1779 + }, + { + "epoch": 3.988795518207283, + "grad_norm": 0.527533233165741, + "learning_rate": 3.0612333406176973e-09, + "loss": 0.3085, + "step": 1780 + }, + { + "epoch": 3.9910364145658264, + "grad_norm": 0.5429129004478455, + "learning_rate": 1.7219475977658938e-09, + "loss": 0.2438, + "step": 1781 + }, + { + "epoch": 3.9932773109243698, + "grad_norm": 0.509666919708252, + "learning_rate": 7.653112636618609e-10, + "loss": 0.3346, + "step": 1782 + }, + { + "epoch": 3.995518207282913, + "grad_norm": 0.5672566294670105, + "learning_rate": 1.913279989440575e-10, + "loss": 0.3039, + "step": 1783 + }, + { + "epoch": 3.9977591036414566, + "grad_norm": 0.46183058619499207, + "learning_rate": 0.0, + "loss": 0.2526, + "step": 1784 + } + ], + "logging_steps": 1, + "max_steps": 1784, + "num_input_tokens_seen": 0, + "num_train_epochs": 4, + "save_steps": 446, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 9.242488464211968e+17, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}