diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,17521 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.541703559412077, + "eval_steps": 500, + "global_step": 2500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "grad_norm": 54.43408203125, + "learning_rate": 0.0001, + "loss": 6.3724, + "step": 1 + }, + { + "epoch": 0.0, + "grad_norm": 54.14735794067383, + "learning_rate": 0.0002, + "loss": 6.3055, + "step": 2 + }, + { + "epoch": 0.0, + "grad_norm": 19.2130184173584, + "learning_rate": 0.00019992902767920512, + "loss": 3.739, + "step": 3 + }, + { + "epoch": 0.01, + "grad_norm": 12.525617599487305, + "learning_rate": 0.00019985805535841024, + "loss": 2.6998, + "step": 4 + }, + { + "epoch": 0.01, + "grad_norm": 10.059170722961426, + "learning_rate": 0.00019978708303761532, + "loss": 2.136, + "step": 5 + }, + { + "epoch": 0.01, + "grad_norm": 6.011496067047119, + "learning_rate": 0.00019971611071682046, + "loss": 1.8854, + "step": 6 + }, + { + "epoch": 0.01, + "grad_norm": 2.9094812870025635, + "learning_rate": 0.00019964513839602557, + "loss": 1.8689, + "step": 7 + }, + { + "epoch": 0.01, + "grad_norm": 1.9098069667816162, + "learning_rate": 0.00019957416607523069, + "loss": 1.762, + "step": 8 + }, + { + "epoch": 0.01, + "grad_norm": 1.3670941591262817, + "learning_rate": 0.00019950319375443577, + "loss": 1.6628, + "step": 9 + }, + { + "epoch": 0.01, + "grad_norm": 1.1179559230804443, + "learning_rate": 0.00019943222143364088, + "loss": 1.6198, + "step": 10 + }, + { + "epoch": 0.02, + "grad_norm": 0.896386444568634, + "learning_rate": 0.000199361249112846, + "loss": 1.5714, + "step": 11 + }, + { + "epoch": 0.02, + "grad_norm": 0.9485528469085693, + "learning_rate": 0.0001992902767920511, + "loss": 1.5582, + "step": 12 + }, + { + "epoch": 0.02, + "grad_norm": 0.9695132970809937, + "learning_rate": 0.00019921930447125622, + "loss": 1.5308, + "step": 13 + }, + { + "epoch": 0.02, + "grad_norm": 0.7802467346191406, + "learning_rate": 0.00019914833215046134, + "loss": 1.5607, + "step": 14 + }, + { + "epoch": 0.02, + "grad_norm": 0.7041746377944946, + "learning_rate": 0.00019907735982966645, + "loss": 1.5013, + "step": 15 + }, + { + "epoch": 0.02, + "grad_norm": 0.6526293158531189, + "learning_rate": 0.00019900638750887156, + "loss": 1.4903, + "step": 16 + }, + { + "epoch": 0.02, + "grad_norm": 0.7452432513237, + "learning_rate": 0.00019893541518807665, + "loss": 1.495, + "step": 17 + }, + { + "epoch": 0.03, + "grad_norm": 0.642892062664032, + "learning_rate": 0.00019886444286728176, + "loss": 1.3996, + "step": 18 + }, + { + "epoch": 0.03, + "grad_norm": 0.608568012714386, + "learning_rate": 0.00019879347054648687, + "loss": 1.4793, + "step": 19 + }, + { + "epoch": 0.03, + "grad_norm": 0.6717165112495422, + "learning_rate": 0.000198722498225692, + "loss": 1.4569, + "step": 20 + }, + { + "epoch": 0.03, + "grad_norm": 0.6507506370544434, + "learning_rate": 0.0001986515259048971, + "loss": 1.4318, + "step": 21 + }, + { + "epoch": 0.03, + "grad_norm": 0.6129789352416992, + "learning_rate": 0.0001985805535841022, + "loss": 1.4275, + "step": 22 + }, + { + "epoch": 0.03, + "grad_norm": 0.606242835521698, + "learning_rate": 0.00019850958126330732, + "loss": 1.3986, + "step": 23 + }, + { + "epoch": 0.03, + "grad_norm": 0.656890869140625, + "learning_rate": 0.00019843860894251244, + "loss": 1.4376, + "step": 24 + }, + { + "epoch": 0.04, + "grad_norm": 0.6069300174713135, + "learning_rate": 0.00019836763662171752, + "loss": 1.4592, + "step": 25 + }, + { + "epoch": 0.04, + "grad_norm": 0.6284168362617493, + "learning_rate": 0.00019829666430092263, + "loss": 1.4375, + "step": 26 + }, + { + "epoch": 0.04, + "grad_norm": 0.6825727820396423, + "learning_rate": 0.00019822569198012777, + "loss": 1.4902, + "step": 27 + }, + { + "epoch": 0.04, + "grad_norm": 0.5566306114196777, + "learning_rate": 0.00019815471965933289, + "loss": 1.3259, + "step": 28 + }, + { + "epoch": 0.04, + "grad_norm": 0.5704931020736694, + "learning_rate": 0.00019808374733853797, + "loss": 1.4229, + "step": 29 + }, + { + "epoch": 0.04, + "grad_norm": 0.6081483364105225, + "learning_rate": 0.00019801277501774308, + "loss": 1.3713, + "step": 30 + }, + { + "epoch": 0.04, + "grad_norm": 0.6242185235023499, + "learning_rate": 0.0001979418026969482, + "loss": 1.3438, + "step": 31 + }, + { + "epoch": 0.05, + "grad_norm": 0.5827323198318481, + "learning_rate": 0.0001978708303761533, + "loss": 1.4987, + "step": 32 + }, + { + "epoch": 0.05, + "grad_norm": 0.5230266451835632, + "learning_rate": 0.00019779985805535842, + "loss": 1.3116, + "step": 33 + }, + { + "epoch": 0.05, + "grad_norm": 0.5829095244407654, + "learning_rate": 0.00019772888573456354, + "loss": 1.5099, + "step": 34 + }, + { + "epoch": 0.05, + "grad_norm": 0.61451655626297, + "learning_rate": 0.00019765791341376865, + "loss": 1.4576, + "step": 35 + }, + { + "epoch": 0.05, + "grad_norm": 0.5359353423118591, + "learning_rate": 0.00019758694109297376, + "loss": 1.4095, + "step": 36 + }, + { + "epoch": 0.05, + "grad_norm": 0.5368149876594543, + "learning_rate": 0.00019751596877217887, + "loss": 1.3962, + "step": 37 + }, + { + "epoch": 0.05, + "grad_norm": 0.5719636678695679, + "learning_rate": 0.00019744499645138396, + "loss": 1.3462, + "step": 38 + }, + { + "epoch": 0.06, + "grad_norm": 0.5419232845306396, + "learning_rate": 0.00019737402413058907, + "loss": 1.3416, + "step": 39 + }, + { + "epoch": 0.06, + "grad_norm": 0.530976414680481, + "learning_rate": 0.00019730305180979418, + "loss": 1.4029, + "step": 40 + }, + { + "epoch": 0.06, + "grad_norm": 0.5526696443557739, + "learning_rate": 0.0001972320794889993, + "loss": 1.3693, + "step": 41 + }, + { + "epoch": 0.06, + "grad_norm": 0.5667834281921387, + "learning_rate": 0.0001971611071682044, + "loss": 1.3882, + "step": 42 + }, + { + "epoch": 0.06, + "grad_norm": 0.5483084917068481, + "learning_rate": 0.00019709013484740952, + "loss": 1.4203, + "step": 43 + }, + { + "epoch": 0.06, + "grad_norm": 0.5592283606529236, + "learning_rate": 0.00019701916252661464, + "loss": 1.366, + "step": 44 + }, + { + "epoch": 0.06, + "grad_norm": 0.5499030351638794, + "learning_rate": 0.00019694819020581975, + "loss": 1.3449, + "step": 45 + }, + { + "epoch": 0.07, + "grad_norm": 0.6002295613288879, + "learning_rate": 0.00019687721788502483, + "loss": 1.3919, + "step": 46 + }, + { + "epoch": 0.07, + "grad_norm": 0.5805856585502625, + "learning_rate": 0.00019680624556422995, + "loss": 1.317, + "step": 47 + }, + { + "epoch": 0.07, + "grad_norm": 0.5594860911369324, + "learning_rate": 0.00019673527324343506, + "loss": 1.4043, + "step": 48 + }, + { + "epoch": 0.07, + "grad_norm": 0.5409876108169556, + "learning_rate": 0.0001966643009226402, + "loss": 1.411, + "step": 49 + }, + { + "epoch": 0.07, + "grad_norm": 0.5239064693450928, + "learning_rate": 0.00019659332860184528, + "loss": 1.4308, + "step": 50 + }, + { + "epoch": 0.07, + "grad_norm": 0.5057370662689209, + "learning_rate": 0.0001965223562810504, + "loss": 1.3265, + "step": 51 + }, + { + "epoch": 0.07, + "grad_norm": 0.5035980939865112, + "learning_rate": 0.0001964513839602555, + "loss": 1.3382, + "step": 52 + }, + { + "epoch": 0.08, + "grad_norm": 0.5412520170211792, + "learning_rate": 0.00019638041163946062, + "loss": 1.3436, + "step": 53 + }, + { + "epoch": 0.08, + "grad_norm": 0.5295203328132629, + "learning_rate": 0.0001963094393186657, + "loss": 1.4424, + "step": 54 + }, + { + "epoch": 0.08, + "grad_norm": 0.5216801166534424, + "learning_rate": 0.00019623846699787082, + "loss": 1.3575, + "step": 55 + }, + { + "epoch": 0.08, + "grad_norm": 0.5418757200241089, + "learning_rate": 0.00019616749467707596, + "loss": 1.2319, + "step": 56 + }, + { + "epoch": 0.08, + "grad_norm": 0.5106856822967529, + "learning_rate": 0.00019609652235628107, + "loss": 1.3407, + "step": 57 + }, + { + "epoch": 0.08, + "grad_norm": 0.5250461101531982, + "learning_rate": 0.00019602555003548616, + "loss": 1.3413, + "step": 58 + }, + { + "epoch": 0.08, + "grad_norm": 0.5034674406051636, + "learning_rate": 0.00019595457771469127, + "loss": 1.3602, + "step": 59 + }, + { + "epoch": 0.09, + "grad_norm": 0.5334136486053467, + "learning_rate": 0.00019588360539389639, + "loss": 1.3282, + "step": 60 + }, + { + "epoch": 0.09, + "grad_norm": 0.5571975708007812, + "learning_rate": 0.0001958126330731015, + "loss": 1.4221, + "step": 61 + }, + { + "epoch": 0.09, + "grad_norm": 0.48554927110671997, + "learning_rate": 0.0001957416607523066, + "loss": 1.3636, + "step": 62 + }, + { + "epoch": 0.09, + "grad_norm": 0.5140034556388855, + "learning_rate": 0.00019567068843151172, + "loss": 1.3278, + "step": 63 + }, + { + "epoch": 0.09, + "grad_norm": 0.5018851161003113, + "learning_rate": 0.00019559971611071684, + "loss": 1.3048, + "step": 64 + }, + { + "epoch": 0.09, + "grad_norm": 0.543761670589447, + "learning_rate": 0.00019552874378992195, + "loss": 1.3423, + "step": 65 + }, + { + "epoch": 0.09, + "grad_norm": 0.5353609919548035, + "learning_rate": 0.00019545777146912706, + "loss": 1.3029, + "step": 66 + }, + { + "epoch": 0.09, + "grad_norm": 0.5764626264572144, + "learning_rate": 0.00019538679914833215, + "loss": 1.409, + "step": 67 + }, + { + "epoch": 0.1, + "grad_norm": 0.4783156216144562, + "learning_rate": 0.00019531582682753726, + "loss": 1.3306, + "step": 68 + }, + { + "epoch": 0.1, + "grad_norm": 0.48478803038597107, + "learning_rate": 0.00019524485450674237, + "loss": 1.4423, + "step": 69 + }, + { + "epoch": 0.1, + "grad_norm": 0.5065445899963379, + "learning_rate": 0.00019517388218594749, + "loss": 1.2997, + "step": 70 + }, + { + "epoch": 0.1, + "grad_norm": 0.4838726222515106, + "learning_rate": 0.0001951029098651526, + "loss": 1.3767, + "step": 71 + }, + { + "epoch": 0.1, + "grad_norm": 0.6124043464660645, + "learning_rate": 0.0001950319375443577, + "loss": 1.305, + "step": 72 + }, + { + "epoch": 0.1, + "grad_norm": 0.5889860391616821, + "learning_rate": 0.00019496096522356282, + "loss": 1.3477, + "step": 73 + }, + { + "epoch": 0.1, + "grad_norm": 0.5476070046424866, + "learning_rate": 0.00019488999290276794, + "loss": 1.3736, + "step": 74 + }, + { + "epoch": 0.11, + "grad_norm": 0.4919136166572571, + "learning_rate": 0.00019481902058197302, + "loss": 1.3518, + "step": 75 + }, + { + "epoch": 0.11, + "grad_norm": 0.5444558262825012, + "learning_rate": 0.00019474804826117813, + "loss": 1.4115, + "step": 76 + }, + { + "epoch": 0.11, + "grad_norm": 0.51210618019104, + "learning_rate": 0.00019467707594038327, + "loss": 1.3419, + "step": 77 + }, + { + "epoch": 0.11, + "grad_norm": 0.5465154647827148, + "learning_rate": 0.0001946061036195884, + "loss": 1.3435, + "step": 78 + }, + { + "epoch": 0.11, + "grad_norm": 0.4859498143196106, + "learning_rate": 0.00019453513129879347, + "loss": 1.3392, + "step": 79 + }, + { + "epoch": 0.11, + "grad_norm": 0.48886799812316895, + "learning_rate": 0.00019446415897799859, + "loss": 1.3239, + "step": 80 + }, + { + "epoch": 0.11, + "grad_norm": 0.514495313167572, + "learning_rate": 0.0001943931866572037, + "loss": 1.3007, + "step": 81 + }, + { + "epoch": 0.12, + "grad_norm": 0.5247107148170471, + "learning_rate": 0.0001943222143364088, + "loss": 1.3192, + "step": 82 + }, + { + "epoch": 0.12, + "grad_norm": 0.5341958999633789, + "learning_rate": 0.00019425124201561392, + "loss": 1.3269, + "step": 83 + }, + { + "epoch": 0.12, + "grad_norm": 0.5308558940887451, + "learning_rate": 0.00019418026969481904, + "loss": 1.3739, + "step": 84 + }, + { + "epoch": 0.12, + "grad_norm": 0.5067780613899231, + "learning_rate": 0.00019410929737402415, + "loss": 1.2969, + "step": 85 + }, + { + "epoch": 0.12, + "grad_norm": 0.5011096596717834, + "learning_rate": 0.00019403832505322926, + "loss": 1.3132, + "step": 86 + }, + { + "epoch": 0.12, + "grad_norm": 0.49596866965293884, + "learning_rate": 0.00019396735273243435, + "loss": 1.3118, + "step": 87 + }, + { + "epoch": 0.12, + "grad_norm": 0.5615769624710083, + "learning_rate": 0.00019389638041163946, + "loss": 1.4271, + "step": 88 + }, + { + "epoch": 0.13, + "grad_norm": 0.5133160352706909, + "learning_rate": 0.00019382540809084457, + "loss": 1.4121, + "step": 89 + }, + { + "epoch": 0.13, + "grad_norm": 0.5177298784255981, + "learning_rate": 0.00019375443577004969, + "loss": 1.3674, + "step": 90 + }, + { + "epoch": 0.13, + "grad_norm": 0.5397670269012451, + "learning_rate": 0.0001936834634492548, + "loss": 1.3749, + "step": 91 + }, + { + "epoch": 0.13, + "grad_norm": 0.510032057762146, + "learning_rate": 0.0001936124911284599, + "loss": 1.4079, + "step": 92 + }, + { + "epoch": 0.13, + "grad_norm": 0.49133965373039246, + "learning_rate": 0.00019354151880766502, + "loss": 1.3387, + "step": 93 + }, + { + "epoch": 0.13, + "grad_norm": 0.5044322609901428, + "learning_rate": 0.00019347054648687014, + "loss": 1.3763, + "step": 94 + }, + { + "epoch": 0.13, + "grad_norm": 0.5398576259613037, + "learning_rate": 0.00019339957416607525, + "loss": 1.342, + "step": 95 + }, + { + "epoch": 0.14, + "grad_norm": 0.5276138782501221, + "learning_rate": 0.00019332860184528033, + "loss": 1.3398, + "step": 96 + }, + { + "epoch": 0.14, + "grad_norm": 0.49148228764533997, + "learning_rate": 0.00019325762952448545, + "loss": 1.3678, + "step": 97 + }, + { + "epoch": 0.14, + "grad_norm": 0.5225054025650024, + "learning_rate": 0.0001931866572036906, + "loss": 1.297, + "step": 98 + }, + { + "epoch": 0.14, + "grad_norm": 0.5107095241546631, + "learning_rate": 0.0001931156848828957, + "loss": 1.2915, + "step": 99 + }, + { + "epoch": 0.14, + "grad_norm": 0.5660765171051025, + "learning_rate": 0.00019304471256210079, + "loss": 1.3034, + "step": 100 + }, + { + "epoch": 0.14, + "grad_norm": 0.5086053013801575, + "learning_rate": 0.0001929737402413059, + "loss": 1.2538, + "step": 101 + }, + { + "epoch": 0.14, + "grad_norm": 0.5296218991279602, + "learning_rate": 0.000192902767920511, + "loss": 1.3653, + "step": 102 + }, + { + "epoch": 0.15, + "grad_norm": 0.505626380443573, + "learning_rate": 0.00019283179559971612, + "loss": 1.3468, + "step": 103 + }, + { + "epoch": 0.15, + "grad_norm": 0.48313605785369873, + "learning_rate": 0.0001927608232789212, + "loss": 1.3689, + "step": 104 + }, + { + "epoch": 0.15, + "grad_norm": 0.5230417847633362, + "learning_rate": 0.00019268985095812635, + "loss": 1.3385, + "step": 105 + }, + { + "epoch": 0.15, + "grad_norm": 0.548197865486145, + "learning_rate": 0.00019261887863733146, + "loss": 1.4077, + "step": 106 + }, + { + "epoch": 0.15, + "grad_norm": 0.49077072739601135, + "learning_rate": 0.00019254790631653657, + "loss": 1.3333, + "step": 107 + }, + { + "epoch": 0.15, + "grad_norm": 0.49506676197052, + "learning_rate": 0.00019247693399574166, + "loss": 1.3019, + "step": 108 + }, + { + "epoch": 0.15, + "grad_norm": 0.5120548009872437, + "learning_rate": 0.00019240596167494677, + "loss": 1.2955, + "step": 109 + }, + { + "epoch": 0.16, + "grad_norm": 0.5009211301803589, + "learning_rate": 0.00019233498935415189, + "loss": 1.33, + "step": 110 + }, + { + "epoch": 0.16, + "grad_norm": 0.4983401894569397, + "learning_rate": 0.000192264017033357, + "loss": 1.2762, + "step": 111 + }, + { + "epoch": 0.16, + "grad_norm": 0.5030891299247742, + "learning_rate": 0.0001921930447125621, + "loss": 1.2902, + "step": 112 + }, + { + "epoch": 0.16, + "grad_norm": 0.5501623749732971, + "learning_rate": 0.00019212207239176722, + "loss": 1.3797, + "step": 113 + }, + { + "epoch": 0.16, + "grad_norm": 0.5063967704772949, + "learning_rate": 0.00019205110007097234, + "loss": 1.2997, + "step": 114 + }, + { + "epoch": 0.16, + "grad_norm": 0.5631483793258667, + "learning_rate": 0.00019198012775017745, + "loss": 1.274, + "step": 115 + }, + { + "epoch": 0.16, + "grad_norm": 0.537670373916626, + "learning_rate": 0.00019190915542938254, + "loss": 1.3115, + "step": 116 + }, + { + "epoch": 0.17, + "grad_norm": 0.541203498840332, + "learning_rate": 0.00019183818310858765, + "loss": 1.3092, + "step": 117 + }, + { + "epoch": 0.17, + "grad_norm": 0.5539008975028992, + "learning_rate": 0.00019176721078779276, + "loss": 1.3223, + "step": 118 + }, + { + "epoch": 0.17, + "grad_norm": 0.5102487802505493, + "learning_rate": 0.0001916962384669979, + "loss": 1.3181, + "step": 119 + }, + { + "epoch": 0.17, + "grad_norm": 0.502543032169342, + "learning_rate": 0.00019162526614620299, + "loss": 1.4029, + "step": 120 + }, + { + "epoch": 0.17, + "grad_norm": 0.5096634030342102, + "learning_rate": 0.0001915542938254081, + "loss": 1.308, + "step": 121 + }, + { + "epoch": 0.17, + "grad_norm": 0.547661542892456, + "learning_rate": 0.0001914833215046132, + "loss": 1.3109, + "step": 122 + }, + { + "epoch": 0.17, + "grad_norm": 0.4794137179851532, + "learning_rate": 0.00019141234918381832, + "loss": 1.3134, + "step": 123 + }, + { + "epoch": 0.18, + "grad_norm": 0.542648434638977, + "learning_rate": 0.00019134137686302344, + "loss": 1.3346, + "step": 124 + }, + { + "epoch": 0.18, + "grad_norm": 0.5438342690467834, + "learning_rate": 0.00019127040454222852, + "loss": 1.2907, + "step": 125 + }, + { + "epoch": 0.18, + "grad_norm": 0.5569918155670166, + "learning_rate": 0.00019119943222143366, + "loss": 1.348, + "step": 126 + }, + { + "epoch": 0.18, + "grad_norm": 0.5183106064796448, + "learning_rate": 0.00019112845990063878, + "loss": 1.3846, + "step": 127 + }, + { + "epoch": 0.18, + "grad_norm": 0.5425500869750977, + "learning_rate": 0.0001910574875798439, + "loss": 1.2643, + "step": 128 + }, + { + "epoch": 0.18, + "grad_norm": 0.6269490718841553, + "learning_rate": 0.00019098651525904897, + "loss": 1.2857, + "step": 129 + }, + { + "epoch": 0.18, + "grad_norm": 0.5118828415870667, + "learning_rate": 0.00019091554293825409, + "loss": 1.3618, + "step": 130 + }, + { + "epoch": 0.19, + "grad_norm": 0.48022595047950745, + "learning_rate": 0.0001908445706174592, + "loss": 1.3721, + "step": 131 + }, + { + "epoch": 0.19, + "grad_norm": 0.5537993907928467, + "learning_rate": 0.0001907735982966643, + "loss": 1.2895, + "step": 132 + }, + { + "epoch": 0.19, + "grad_norm": 0.5127624869346619, + "learning_rate": 0.00019070262597586942, + "loss": 1.3227, + "step": 133 + }, + { + "epoch": 0.19, + "grad_norm": 0.49052900075912476, + "learning_rate": 0.00019063165365507454, + "loss": 1.2652, + "step": 134 + }, + { + "epoch": 0.19, + "grad_norm": 0.499605268239975, + "learning_rate": 0.00019056068133427965, + "loss": 1.2807, + "step": 135 + }, + { + "epoch": 0.19, + "grad_norm": 0.514790952205658, + "learning_rate": 0.00019048970901348476, + "loss": 1.2387, + "step": 136 + }, + { + "epoch": 0.19, + "grad_norm": 0.5162804126739502, + "learning_rate": 0.00019041873669268985, + "loss": 1.3021, + "step": 137 + }, + { + "epoch": 0.2, + "grad_norm": 0.5387127995491028, + "learning_rate": 0.00019034776437189496, + "loss": 1.3652, + "step": 138 + }, + { + "epoch": 0.2, + "grad_norm": 0.5182953476905823, + "learning_rate": 0.00019027679205110007, + "loss": 1.3704, + "step": 139 + }, + { + "epoch": 0.2, + "grad_norm": 0.5148733854293823, + "learning_rate": 0.00019020581973030519, + "loss": 1.2932, + "step": 140 + }, + { + "epoch": 0.2, + "grad_norm": 0.5453186631202698, + "learning_rate": 0.0001901348474095103, + "loss": 1.3298, + "step": 141 + }, + { + "epoch": 0.2, + "grad_norm": 0.49780547618865967, + "learning_rate": 0.0001900638750887154, + "loss": 1.3241, + "step": 142 + }, + { + "epoch": 0.2, + "grad_norm": 0.563477635383606, + "learning_rate": 0.00018999290276792052, + "loss": 1.3003, + "step": 143 + }, + { + "epoch": 0.2, + "grad_norm": 0.6826238036155701, + "learning_rate": 0.00018992193044712564, + "loss": 1.2782, + "step": 144 + }, + { + "epoch": 0.21, + "grad_norm": 0.5311530828475952, + "learning_rate": 0.00018985095812633072, + "loss": 1.2525, + "step": 145 + }, + { + "epoch": 0.21, + "grad_norm": 0.5208378434181213, + "learning_rate": 0.00018977998580553584, + "loss": 1.2451, + "step": 146 + }, + { + "epoch": 0.21, + "grad_norm": 0.5175229907035828, + "learning_rate": 0.00018970901348474095, + "loss": 1.2783, + "step": 147 + }, + { + "epoch": 0.21, + "grad_norm": 0.5157881379127502, + "learning_rate": 0.0001896380411639461, + "loss": 1.3475, + "step": 148 + }, + { + "epoch": 0.21, + "grad_norm": 0.510566234588623, + "learning_rate": 0.00018956706884315117, + "loss": 1.3182, + "step": 149 + }, + { + "epoch": 0.21, + "grad_norm": 0.520010232925415, + "learning_rate": 0.00018949609652235629, + "loss": 1.3495, + "step": 150 + }, + { + "epoch": 0.21, + "grad_norm": 0.5622514486312866, + "learning_rate": 0.0001894251242015614, + "loss": 1.3128, + "step": 151 + }, + { + "epoch": 0.22, + "grad_norm": 0.5312150120735168, + "learning_rate": 0.0001893541518807665, + "loss": 1.3203, + "step": 152 + }, + { + "epoch": 0.22, + "grad_norm": 0.5105769634246826, + "learning_rate": 0.00018928317955997162, + "loss": 1.3155, + "step": 153 + }, + { + "epoch": 0.22, + "grad_norm": 0.5248401165008545, + "learning_rate": 0.0001892122072391767, + "loss": 1.2616, + "step": 154 + }, + { + "epoch": 0.22, + "grad_norm": 0.5388246774673462, + "learning_rate": 0.00018914123491838185, + "loss": 1.2817, + "step": 155 + }, + { + "epoch": 0.22, + "grad_norm": 0.5068986415863037, + "learning_rate": 0.00018907026259758696, + "loss": 1.2676, + "step": 156 + }, + { + "epoch": 0.22, + "grad_norm": 0.5076289176940918, + "learning_rate": 0.00018899929027679208, + "loss": 1.3285, + "step": 157 + }, + { + "epoch": 0.22, + "grad_norm": 0.5198759436607361, + "learning_rate": 0.00018892831795599716, + "loss": 1.2746, + "step": 158 + }, + { + "epoch": 0.23, + "grad_norm": 0.5820220112800598, + "learning_rate": 0.00018885734563520227, + "loss": 1.3505, + "step": 159 + }, + { + "epoch": 0.23, + "grad_norm": 0.5358129143714905, + "learning_rate": 0.0001887863733144074, + "loss": 1.2784, + "step": 160 + }, + { + "epoch": 0.23, + "grad_norm": 0.5665339827537537, + "learning_rate": 0.0001887154009936125, + "loss": 1.3348, + "step": 161 + }, + { + "epoch": 0.23, + "grad_norm": 0.5267711877822876, + "learning_rate": 0.0001886444286728176, + "loss": 1.3123, + "step": 162 + }, + { + "epoch": 0.23, + "grad_norm": 0.5009903907775879, + "learning_rate": 0.00018857345635202272, + "loss": 1.274, + "step": 163 + }, + { + "epoch": 0.23, + "grad_norm": 0.6048489212989807, + "learning_rate": 0.00018850248403122784, + "loss": 1.3001, + "step": 164 + }, + { + "epoch": 0.23, + "grad_norm": 0.5325021147727966, + "learning_rate": 0.00018843151171043295, + "loss": 1.2895, + "step": 165 + }, + { + "epoch": 0.24, + "grad_norm": 0.6042301654815674, + "learning_rate": 0.00018836053938963804, + "loss": 1.315, + "step": 166 + }, + { + "epoch": 0.24, + "grad_norm": 0.567377507686615, + "learning_rate": 0.00018828956706884315, + "loss": 1.2663, + "step": 167 + }, + { + "epoch": 0.24, + "grad_norm": 0.5558852553367615, + "learning_rate": 0.00018821859474804826, + "loss": 1.3094, + "step": 168 + }, + { + "epoch": 0.24, + "grad_norm": 0.5398116707801819, + "learning_rate": 0.0001881476224272534, + "loss": 1.2863, + "step": 169 + }, + { + "epoch": 0.24, + "grad_norm": 0.5448858141899109, + "learning_rate": 0.0001880766501064585, + "loss": 1.2846, + "step": 170 + }, + { + "epoch": 0.24, + "grad_norm": 0.5054113268852234, + "learning_rate": 0.0001880056777856636, + "loss": 1.2498, + "step": 171 + }, + { + "epoch": 0.24, + "grad_norm": 0.5151749849319458, + "learning_rate": 0.0001879347054648687, + "loss": 1.2958, + "step": 172 + }, + { + "epoch": 0.25, + "grad_norm": 0.5271678566932678, + "learning_rate": 0.00018786373314407382, + "loss": 1.3349, + "step": 173 + }, + { + "epoch": 0.25, + "grad_norm": 0.5065703392028809, + "learning_rate": 0.0001877927608232789, + "loss": 1.2965, + "step": 174 + }, + { + "epoch": 0.25, + "grad_norm": 0.5131989121437073, + "learning_rate": 0.00018772178850248402, + "loss": 1.3322, + "step": 175 + }, + { + "epoch": 0.25, + "grad_norm": 0.5324966907501221, + "learning_rate": 0.00018765081618168916, + "loss": 1.2557, + "step": 176 + }, + { + "epoch": 0.25, + "grad_norm": 0.5682156085968018, + "learning_rate": 0.00018757984386089428, + "loss": 1.352, + "step": 177 + }, + { + "epoch": 0.25, + "grad_norm": 0.5812451243400574, + "learning_rate": 0.00018750887154009936, + "loss": 1.3167, + "step": 178 + }, + { + "epoch": 0.25, + "grad_norm": 0.5220502018928528, + "learning_rate": 0.00018743789921930447, + "loss": 1.3982, + "step": 179 + }, + { + "epoch": 0.26, + "grad_norm": 0.519579291343689, + "learning_rate": 0.0001873669268985096, + "loss": 1.2545, + "step": 180 + }, + { + "epoch": 0.26, + "grad_norm": 0.5515694618225098, + "learning_rate": 0.0001872959545777147, + "loss": 1.2739, + "step": 181 + }, + { + "epoch": 0.26, + "grad_norm": 0.494443416595459, + "learning_rate": 0.0001872249822569198, + "loss": 1.3223, + "step": 182 + }, + { + "epoch": 0.26, + "grad_norm": 0.5370269417762756, + "learning_rate": 0.00018715400993612493, + "loss": 1.2643, + "step": 183 + }, + { + "epoch": 0.26, + "grad_norm": 0.5089952945709229, + "learning_rate": 0.00018708303761533004, + "loss": 1.2543, + "step": 184 + }, + { + "epoch": 0.26, + "grad_norm": 0.5908558964729309, + "learning_rate": 0.00018701206529453515, + "loss": 1.3621, + "step": 185 + }, + { + "epoch": 0.26, + "grad_norm": 0.5236672163009644, + "learning_rate": 0.00018694109297374026, + "loss": 1.2589, + "step": 186 + }, + { + "epoch": 0.26, + "grad_norm": 0.5075586438179016, + "learning_rate": 0.00018687012065294535, + "loss": 1.2567, + "step": 187 + }, + { + "epoch": 0.27, + "grad_norm": 0.484017938375473, + "learning_rate": 0.00018679914833215046, + "loss": 1.253, + "step": 188 + }, + { + "epoch": 0.27, + "grad_norm": 0.49491867423057556, + "learning_rate": 0.00018672817601135557, + "loss": 1.2903, + "step": 189 + }, + { + "epoch": 0.27, + "grad_norm": 0.5130958557128906, + "learning_rate": 0.0001866572036905607, + "loss": 1.3576, + "step": 190 + }, + { + "epoch": 0.27, + "grad_norm": 0.5242413282394409, + "learning_rate": 0.0001865862313697658, + "loss": 1.259, + "step": 191 + }, + { + "epoch": 0.27, + "grad_norm": 0.5665105581283569, + "learning_rate": 0.0001865152590489709, + "loss": 1.2892, + "step": 192 + }, + { + "epoch": 0.27, + "grad_norm": 0.5331645011901855, + "learning_rate": 0.00018644428672817603, + "loss": 1.3102, + "step": 193 + }, + { + "epoch": 0.27, + "grad_norm": 0.4966602921485901, + "learning_rate": 0.00018637331440738114, + "loss": 1.2915, + "step": 194 + }, + { + "epoch": 0.28, + "grad_norm": 0.5544999837875366, + "learning_rate": 0.00018630234208658622, + "loss": 1.258, + "step": 195 + }, + { + "epoch": 0.28, + "grad_norm": 0.520144522190094, + "learning_rate": 0.00018623136976579134, + "loss": 1.3164, + "step": 196 + }, + { + "epoch": 0.28, + "grad_norm": 0.5174679160118103, + "learning_rate": 0.00018616039744499648, + "loss": 1.344, + "step": 197 + }, + { + "epoch": 0.28, + "grad_norm": 0.4990881383419037, + "learning_rate": 0.0001860894251242016, + "loss": 1.3103, + "step": 198 + }, + { + "epoch": 0.28, + "grad_norm": 0.5118770003318787, + "learning_rate": 0.00018601845280340667, + "loss": 1.2647, + "step": 199 + }, + { + "epoch": 0.28, + "grad_norm": 0.5196303725242615, + "learning_rate": 0.0001859474804826118, + "loss": 1.336, + "step": 200 + }, + { + "epoch": 0.28, + "grad_norm": 0.5092043280601501, + "learning_rate": 0.0001858765081618169, + "loss": 1.2411, + "step": 201 + }, + { + "epoch": 0.29, + "grad_norm": 0.5203234553337097, + "learning_rate": 0.000185805535841022, + "loss": 1.2752, + "step": 202 + }, + { + "epoch": 0.29, + "grad_norm": 0.5390545725822449, + "learning_rate": 0.0001857345635202271, + "loss": 1.2102, + "step": 203 + }, + { + "epoch": 0.29, + "grad_norm": 0.5045953392982483, + "learning_rate": 0.00018566359119943224, + "loss": 1.3237, + "step": 204 + }, + { + "epoch": 0.29, + "grad_norm": 0.5172394514083862, + "learning_rate": 0.00018559261887863735, + "loss": 1.2755, + "step": 205 + }, + { + "epoch": 0.29, + "grad_norm": 0.5241258144378662, + "learning_rate": 0.00018552164655784246, + "loss": 1.3713, + "step": 206 + }, + { + "epoch": 0.29, + "grad_norm": 0.541176438331604, + "learning_rate": 0.00018545067423704755, + "loss": 1.2301, + "step": 207 + }, + { + "epoch": 0.29, + "grad_norm": 0.500068187713623, + "learning_rate": 0.00018537970191625266, + "loss": 1.2682, + "step": 208 + }, + { + "epoch": 0.3, + "grad_norm": 0.5059691071510315, + "learning_rate": 0.00018530872959545777, + "loss": 1.2505, + "step": 209 + }, + { + "epoch": 0.3, + "grad_norm": 0.49532344937324524, + "learning_rate": 0.0001852377572746629, + "loss": 1.2387, + "step": 210 + }, + { + "epoch": 0.3, + "grad_norm": 0.6257210373878479, + "learning_rate": 0.000185166784953868, + "loss": 1.3048, + "step": 211 + }, + { + "epoch": 0.3, + "grad_norm": 0.5715426206588745, + "learning_rate": 0.0001850958126330731, + "loss": 1.3693, + "step": 212 + }, + { + "epoch": 0.3, + "grad_norm": 0.5583224296569824, + "learning_rate": 0.00018502484031227823, + "loss": 1.2703, + "step": 213 + }, + { + "epoch": 0.3, + "grad_norm": 0.6376559138298035, + "learning_rate": 0.00018495386799148334, + "loss": 1.3016, + "step": 214 + }, + { + "epoch": 0.3, + "grad_norm": 0.535058856010437, + "learning_rate": 0.00018488289567068845, + "loss": 1.3551, + "step": 215 + }, + { + "epoch": 0.31, + "grad_norm": 0.5314571857452393, + "learning_rate": 0.00018481192334989354, + "loss": 1.2762, + "step": 216 + }, + { + "epoch": 0.31, + "grad_norm": 0.5577436089515686, + "learning_rate": 0.00018474095102909865, + "loss": 1.2742, + "step": 217 + }, + { + "epoch": 0.31, + "grad_norm": 0.5784611701965332, + "learning_rate": 0.0001846699787083038, + "loss": 1.3804, + "step": 218 + }, + { + "epoch": 0.31, + "grad_norm": 0.5190976858139038, + "learning_rate": 0.00018459900638750887, + "loss": 1.2978, + "step": 219 + }, + { + "epoch": 0.31, + "grad_norm": 0.5705554485321045, + "learning_rate": 0.000184528034066714, + "loss": 1.3462, + "step": 220 + }, + { + "epoch": 0.31, + "grad_norm": 0.5286474227905273, + "learning_rate": 0.0001844570617459191, + "loss": 1.3275, + "step": 221 + }, + { + "epoch": 0.31, + "grad_norm": 0.5056504607200623, + "learning_rate": 0.0001843860894251242, + "loss": 1.2601, + "step": 222 + }, + { + "epoch": 0.32, + "grad_norm": 0.5417407751083374, + "learning_rate": 0.00018431511710432933, + "loss": 1.2604, + "step": 223 + }, + { + "epoch": 0.32, + "grad_norm": 0.5213840007781982, + "learning_rate": 0.0001842441447835344, + "loss": 1.2505, + "step": 224 + }, + { + "epoch": 0.32, + "grad_norm": 0.5501871109008789, + "learning_rate": 0.00018417317246273952, + "loss": 1.2911, + "step": 225 + }, + { + "epoch": 0.32, + "grad_norm": 0.561215341091156, + "learning_rate": 0.00018410220014194466, + "loss": 1.2829, + "step": 226 + }, + { + "epoch": 0.32, + "grad_norm": 0.5201948285102844, + "learning_rate": 0.00018403122782114978, + "loss": 1.2713, + "step": 227 + }, + { + "epoch": 0.32, + "grad_norm": 0.5538742542266846, + "learning_rate": 0.00018396025550035486, + "loss": 1.2533, + "step": 228 + }, + { + "epoch": 0.32, + "grad_norm": 0.5249223113059998, + "learning_rate": 0.00018388928317955997, + "loss": 1.3244, + "step": 229 + }, + { + "epoch": 0.33, + "grad_norm": 0.5145981311798096, + "learning_rate": 0.0001838183108587651, + "loss": 1.2735, + "step": 230 + }, + { + "epoch": 0.33, + "grad_norm": 0.5346860885620117, + "learning_rate": 0.0001837473385379702, + "loss": 1.2238, + "step": 231 + }, + { + "epoch": 0.33, + "grad_norm": 0.5297681093215942, + "learning_rate": 0.0001836763662171753, + "loss": 1.3163, + "step": 232 + }, + { + "epoch": 0.33, + "grad_norm": 0.5075122117996216, + "learning_rate": 0.00018360539389638043, + "loss": 1.3422, + "step": 233 + }, + { + "epoch": 0.33, + "grad_norm": 0.5438109636306763, + "learning_rate": 0.00018353442157558554, + "loss": 1.3367, + "step": 234 + }, + { + "epoch": 0.33, + "grad_norm": 0.5246129035949707, + "learning_rate": 0.00018346344925479065, + "loss": 1.2883, + "step": 235 + }, + { + "epoch": 0.33, + "grad_norm": 0.5447835326194763, + "learning_rate": 0.00018339247693399574, + "loss": 1.2409, + "step": 236 + }, + { + "epoch": 0.34, + "grad_norm": 0.5204280018806458, + "learning_rate": 0.00018332150461320085, + "loss": 1.26, + "step": 237 + }, + { + "epoch": 0.34, + "grad_norm": 0.5784415602684021, + "learning_rate": 0.00018325053229240596, + "loss": 1.2953, + "step": 238 + }, + { + "epoch": 0.34, + "grad_norm": 0.5427743196487427, + "learning_rate": 0.00018317955997161108, + "loss": 1.273, + "step": 239 + }, + { + "epoch": 0.34, + "grad_norm": 0.6766988635063171, + "learning_rate": 0.0001831085876508162, + "loss": 1.2985, + "step": 240 + }, + { + "epoch": 0.34, + "grad_norm": 0.5197088122367859, + "learning_rate": 0.0001830376153300213, + "loss": 1.331, + "step": 241 + }, + { + "epoch": 0.34, + "grad_norm": 0.5441769957542419, + "learning_rate": 0.0001829666430092264, + "loss": 1.2786, + "step": 242 + }, + { + "epoch": 0.34, + "grad_norm": 0.5796704888343811, + "learning_rate": 0.00018289567068843153, + "loss": 1.3317, + "step": 243 + }, + { + "epoch": 0.35, + "grad_norm": 0.5018938183784485, + "learning_rate": 0.00018282469836763664, + "loss": 1.1423, + "step": 244 + }, + { + "epoch": 0.35, + "grad_norm": 0.5162649154663086, + "learning_rate": 0.00018275372604684172, + "loss": 1.2544, + "step": 245 + }, + { + "epoch": 0.35, + "grad_norm": 0.5415024161338806, + "learning_rate": 0.00018268275372604684, + "loss": 1.2748, + "step": 246 + }, + { + "epoch": 0.35, + "grad_norm": 0.5413600206375122, + "learning_rate": 0.00018261178140525198, + "loss": 1.3206, + "step": 247 + }, + { + "epoch": 0.35, + "grad_norm": 0.5510334968566895, + "learning_rate": 0.0001825408090844571, + "loss": 1.2939, + "step": 248 + }, + { + "epoch": 0.35, + "grad_norm": 0.5214188694953918, + "learning_rate": 0.00018246983676366218, + "loss": 1.3322, + "step": 249 + }, + { + "epoch": 0.35, + "grad_norm": 0.5412008166313171, + "learning_rate": 0.0001823988644428673, + "loss": 1.2781, + "step": 250 + }, + { + "epoch": 0.36, + "grad_norm": 0.565697431564331, + "learning_rate": 0.0001823278921220724, + "loss": 1.3404, + "step": 251 + }, + { + "epoch": 0.36, + "grad_norm": 0.5353158712387085, + "learning_rate": 0.0001822569198012775, + "loss": 1.3575, + "step": 252 + }, + { + "epoch": 0.36, + "grad_norm": 0.5572609305381775, + "learning_rate": 0.0001821859474804826, + "loss": 1.2713, + "step": 253 + }, + { + "epoch": 0.36, + "grad_norm": 0.5632525682449341, + "learning_rate": 0.00018211497515968774, + "loss": 1.2556, + "step": 254 + }, + { + "epoch": 0.36, + "grad_norm": 0.5715951323509216, + "learning_rate": 0.00018204400283889285, + "loss": 1.3299, + "step": 255 + }, + { + "epoch": 0.36, + "grad_norm": 0.5702312588691711, + "learning_rate": 0.00018197303051809796, + "loss": 1.1876, + "step": 256 + }, + { + "epoch": 0.36, + "grad_norm": 0.5902386903762817, + "learning_rate": 0.00018190205819730305, + "loss": 1.3058, + "step": 257 + }, + { + "epoch": 0.37, + "grad_norm": 0.5512535572052002, + "learning_rate": 0.00018183108587650816, + "loss": 1.2739, + "step": 258 + }, + { + "epoch": 0.37, + "grad_norm": 0.5071843266487122, + "learning_rate": 0.00018176011355571328, + "loss": 1.2882, + "step": 259 + }, + { + "epoch": 0.37, + "grad_norm": 0.5268561840057373, + "learning_rate": 0.0001816891412349184, + "loss": 1.2187, + "step": 260 + }, + { + "epoch": 0.37, + "grad_norm": 0.5496917963027954, + "learning_rate": 0.0001816181689141235, + "loss": 1.3007, + "step": 261 + }, + { + "epoch": 0.37, + "grad_norm": 0.5308434367179871, + "learning_rate": 0.0001815471965933286, + "loss": 1.2778, + "step": 262 + }, + { + "epoch": 0.37, + "grad_norm": 0.5531402230262756, + "learning_rate": 0.00018147622427253373, + "loss": 1.2411, + "step": 263 + }, + { + "epoch": 0.37, + "grad_norm": 0.5323889255523682, + "learning_rate": 0.00018140525195173884, + "loss": 1.2655, + "step": 264 + }, + { + "epoch": 0.38, + "grad_norm": 0.50742506980896, + "learning_rate": 0.00018133427963094392, + "loss": 1.2429, + "step": 265 + }, + { + "epoch": 0.38, + "grad_norm": 0.5636353492736816, + "learning_rate": 0.00018126330731014904, + "loss": 1.2079, + "step": 266 + }, + { + "epoch": 0.38, + "grad_norm": 0.5328524708747864, + "learning_rate": 0.00018119233498935415, + "loss": 1.2601, + "step": 267 + }, + { + "epoch": 0.38, + "grad_norm": 0.5404384136199951, + "learning_rate": 0.0001811213626685593, + "loss": 1.2461, + "step": 268 + }, + { + "epoch": 0.38, + "grad_norm": 0.5366867184638977, + "learning_rate": 0.00018105039034776438, + "loss": 1.2189, + "step": 269 + }, + { + "epoch": 0.38, + "grad_norm": 0.548911988735199, + "learning_rate": 0.0001809794180269695, + "loss": 1.3085, + "step": 270 + }, + { + "epoch": 0.38, + "grad_norm": 0.48217761516571045, + "learning_rate": 0.0001809084457061746, + "loss": 1.1768, + "step": 271 + }, + { + "epoch": 0.39, + "grad_norm": 0.5497826933860779, + "learning_rate": 0.00018083747338537971, + "loss": 1.2676, + "step": 272 + }, + { + "epoch": 0.39, + "grad_norm": 0.5193854570388794, + "learning_rate": 0.00018076650106458483, + "loss": 1.2323, + "step": 273 + }, + { + "epoch": 0.39, + "grad_norm": 0.5157699584960938, + "learning_rate": 0.0001806955287437899, + "loss": 1.2549, + "step": 274 + }, + { + "epoch": 0.39, + "grad_norm": 0.5180855989456177, + "learning_rate": 0.00018062455642299505, + "loss": 1.2495, + "step": 275 + }, + { + "epoch": 0.39, + "grad_norm": 0.5382695198059082, + "learning_rate": 0.00018055358410220016, + "loss": 1.2594, + "step": 276 + }, + { + "epoch": 0.39, + "grad_norm": 0.525709331035614, + "learning_rate": 0.00018048261178140528, + "loss": 1.3069, + "step": 277 + }, + { + "epoch": 0.39, + "grad_norm": 0.5481734275817871, + "learning_rate": 0.00018041163946061036, + "loss": 1.2754, + "step": 278 + }, + { + "epoch": 0.4, + "grad_norm": 0.5247664451599121, + "learning_rate": 0.00018034066713981548, + "loss": 1.2433, + "step": 279 + }, + { + "epoch": 0.4, + "grad_norm": 0.5272576808929443, + "learning_rate": 0.0001802696948190206, + "loss": 1.3306, + "step": 280 + }, + { + "epoch": 0.4, + "grad_norm": 0.5923863649368286, + "learning_rate": 0.0001801987224982257, + "loss": 1.2251, + "step": 281 + }, + { + "epoch": 0.4, + "grad_norm": 0.5423222780227661, + "learning_rate": 0.00018012775017743081, + "loss": 1.3083, + "step": 282 + }, + { + "epoch": 0.4, + "grad_norm": 0.5334257483482361, + "learning_rate": 0.00018005677785663593, + "loss": 1.2794, + "step": 283 + }, + { + "epoch": 0.4, + "grad_norm": 0.5238288044929504, + "learning_rate": 0.00017998580553584104, + "loss": 1.2115, + "step": 284 + }, + { + "epoch": 0.4, + "grad_norm": 0.5420286059379578, + "learning_rate": 0.00017991483321504615, + "loss": 1.1612, + "step": 285 + }, + { + "epoch": 0.41, + "grad_norm": 0.511910080909729, + "learning_rate": 0.00017984386089425124, + "loss": 1.2526, + "step": 286 + }, + { + "epoch": 0.41, + "grad_norm": 0.5181018710136414, + "learning_rate": 0.00017977288857345635, + "loss": 1.3193, + "step": 287 + }, + { + "epoch": 0.41, + "grad_norm": 0.5733616352081299, + "learning_rate": 0.00017970191625266146, + "loss": 1.3032, + "step": 288 + }, + { + "epoch": 0.41, + "grad_norm": 0.5532722473144531, + "learning_rate": 0.0001796309439318666, + "loss": 1.2011, + "step": 289 + }, + { + "epoch": 0.41, + "grad_norm": 0.5308284163475037, + "learning_rate": 0.0001795599716110717, + "loss": 1.3084, + "step": 290 + }, + { + "epoch": 0.41, + "grad_norm": 0.5570117831230164, + "learning_rate": 0.0001794889992902768, + "loss": 1.2663, + "step": 291 + }, + { + "epoch": 0.41, + "grad_norm": 0.5518406629562378, + "learning_rate": 0.00017941802696948191, + "loss": 1.2782, + "step": 292 + }, + { + "epoch": 0.42, + "grad_norm": 0.5204089283943176, + "learning_rate": 0.00017934705464868703, + "loss": 1.2532, + "step": 293 + }, + { + "epoch": 0.42, + "grad_norm": 0.5458951592445374, + "learning_rate": 0.0001792760823278921, + "loss": 1.2507, + "step": 294 + }, + { + "epoch": 0.42, + "grad_norm": 0.6208042502403259, + "learning_rate": 0.00017920511000709723, + "loss": 1.2569, + "step": 295 + }, + { + "epoch": 0.42, + "grad_norm": 0.5473780632019043, + "learning_rate": 0.00017913413768630236, + "loss": 1.3277, + "step": 296 + }, + { + "epoch": 0.42, + "grad_norm": 0.5519291162490845, + "learning_rate": 0.00017906316536550748, + "loss": 1.2588, + "step": 297 + }, + { + "epoch": 0.42, + "grad_norm": 0.5681371092796326, + "learning_rate": 0.00017899219304471256, + "loss": 1.2454, + "step": 298 + }, + { + "epoch": 0.42, + "grad_norm": 0.5682107210159302, + "learning_rate": 0.00017892122072391768, + "loss": 1.2342, + "step": 299 + }, + { + "epoch": 0.43, + "grad_norm": 0.5326645374298096, + "learning_rate": 0.0001788502484031228, + "loss": 1.2052, + "step": 300 + }, + { + "epoch": 0.43, + "grad_norm": 0.6371567249298096, + "learning_rate": 0.0001787792760823279, + "loss": 1.1617, + "step": 301 + }, + { + "epoch": 0.43, + "grad_norm": 0.6094531416893005, + "learning_rate": 0.00017870830376153301, + "loss": 1.218, + "step": 302 + }, + { + "epoch": 0.43, + "grad_norm": 0.5426862835884094, + "learning_rate": 0.00017863733144073813, + "loss": 1.313, + "step": 303 + }, + { + "epoch": 0.43, + "grad_norm": 0.5334256291389465, + "learning_rate": 0.00017856635911994324, + "loss": 1.2978, + "step": 304 + }, + { + "epoch": 0.43, + "grad_norm": 0.5406014919281006, + "learning_rate": 0.00017849538679914835, + "loss": 1.3094, + "step": 305 + }, + { + "epoch": 0.43, + "grad_norm": 0.5107502341270447, + "learning_rate": 0.00017842441447835347, + "loss": 1.1634, + "step": 306 + }, + { + "epoch": 0.43, + "grad_norm": 0.5104424357414246, + "learning_rate": 0.00017835344215755855, + "loss": 1.2576, + "step": 307 + }, + { + "epoch": 0.44, + "grad_norm": 0.5558850169181824, + "learning_rate": 0.00017828246983676366, + "loss": 1.2696, + "step": 308 + }, + { + "epoch": 0.44, + "grad_norm": 0.5559511184692383, + "learning_rate": 0.00017821149751596878, + "loss": 1.292, + "step": 309 + }, + { + "epoch": 0.44, + "grad_norm": 0.5495506525039673, + "learning_rate": 0.0001781405251951739, + "loss": 1.2363, + "step": 310 + }, + { + "epoch": 0.44, + "grad_norm": 0.5591257214546204, + "learning_rate": 0.000178069552874379, + "loss": 1.2425, + "step": 311 + }, + { + "epoch": 0.44, + "grad_norm": 0.5381730198860168, + "learning_rate": 0.00017799858055358411, + "loss": 1.1903, + "step": 312 + }, + { + "epoch": 0.44, + "grad_norm": 0.5501212477684021, + "learning_rate": 0.00017792760823278923, + "loss": 1.2598, + "step": 313 + }, + { + "epoch": 0.44, + "grad_norm": 0.6151654124259949, + "learning_rate": 0.00017785663591199434, + "loss": 1.1703, + "step": 314 + }, + { + "epoch": 0.45, + "grad_norm": 0.5302771925926208, + "learning_rate": 0.00017778566359119943, + "loss": 1.268, + "step": 315 + }, + { + "epoch": 0.45, + "grad_norm": 0.5328003764152527, + "learning_rate": 0.00017771469127040454, + "loss": 1.259, + "step": 316 + }, + { + "epoch": 0.45, + "grad_norm": 0.5223655700683594, + "learning_rate": 0.00017764371894960965, + "loss": 1.2631, + "step": 317 + }, + { + "epoch": 0.45, + "grad_norm": 0.5435971021652222, + "learning_rate": 0.0001775727466288148, + "loss": 1.2645, + "step": 318 + }, + { + "epoch": 0.45, + "grad_norm": 0.5286442041397095, + "learning_rate": 0.00017750177430801988, + "loss": 1.2613, + "step": 319 + }, + { + "epoch": 0.45, + "grad_norm": 0.5257332921028137, + "learning_rate": 0.000177430801987225, + "loss": 1.2435, + "step": 320 + }, + { + "epoch": 0.45, + "grad_norm": 0.5707381963729858, + "learning_rate": 0.0001773598296664301, + "loss": 1.2085, + "step": 321 + }, + { + "epoch": 0.46, + "grad_norm": 0.5447467565536499, + "learning_rate": 0.00017728885734563521, + "loss": 1.2266, + "step": 322 + }, + { + "epoch": 0.46, + "grad_norm": 0.5707226991653442, + "learning_rate": 0.0001772178850248403, + "loss": 1.2284, + "step": 323 + }, + { + "epoch": 0.46, + "grad_norm": 0.5743198394775391, + "learning_rate": 0.0001771469127040454, + "loss": 1.1793, + "step": 324 + }, + { + "epoch": 0.46, + "grad_norm": 0.5705985426902771, + "learning_rate": 0.00017707594038325055, + "loss": 1.2348, + "step": 325 + }, + { + "epoch": 0.46, + "grad_norm": 0.5277898907661438, + "learning_rate": 0.00017700496806245567, + "loss": 1.1603, + "step": 326 + }, + { + "epoch": 0.46, + "grad_norm": 0.5345696806907654, + "learning_rate": 0.00017693399574166075, + "loss": 1.2799, + "step": 327 + }, + { + "epoch": 0.46, + "grad_norm": 0.5616069436073303, + "learning_rate": 0.00017686302342086586, + "loss": 1.2574, + "step": 328 + }, + { + "epoch": 0.47, + "grad_norm": 0.5110874772071838, + "learning_rate": 0.00017679205110007098, + "loss": 1.2796, + "step": 329 + }, + { + "epoch": 0.47, + "grad_norm": 0.5312853455543518, + "learning_rate": 0.0001767210787792761, + "loss": 1.294, + "step": 330 + }, + { + "epoch": 0.47, + "grad_norm": 0.576275110244751, + "learning_rate": 0.0001766501064584812, + "loss": 1.2761, + "step": 331 + }, + { + "epoch": 0.47, + "grad_norm": 0.5550281405448914, + "learning_rate": 0.00017657913413768631, + "loss": 1.2489, + "step": 332 + }, + { + "epoch": 0.47, + "grad_norm": 0.55446457862854, + "learning_rate": 0.00017650816181689143, + "loss": 1.3195, + "step": 333 + }, + { + "epoch": 0.47, + "grad_norm": 0.5434035658836365, + "learning_rate": 0.00017643718949609654, + "loss": 1.2927, + "step": 334 + }, + { + "epoch": 0.47, + "grad_norm": 0.536832869052887, + "learning_rate": 0.00017636621717530165, + "loss": 1.2448, + "step": 335 + }, + { + "epoch": 0.48, + "grad_norm": 0.5537269711494446, + "learning_rate": 0.00017629524485450674, + "loss": 1.2461, + "step": 336 + }, + { + "epoch": 0.48, + "grad_norm": 0.5346850156784058, + "learning_rate": 0.00017622427253371185, + "loss": 1.2614, + "step": 337 + }, + { + "epoch": 0.48, + "grad_norm": 0.5255287289619446, + "learning_rate": 0.00017615330021291696, + "loss": 1.2376, + "step": 338 + }, + { + "epoch": 0.48, + "grad_norm": 0.5487991571426392, + "learning_rate": 0.00017608232789212208, + "loss": 1.2523, + "step": 339 + }, + { + "epoch": 0.48, + "grad_norm": 0.554786205291748, + "learning_rate": 0.0001760113555713272, + "loss": 1.2265, + "step": 340 + }, + { + "epoch": 0.48, + "grad_norm": 0.8868914246559143, + "learning_rate": 0.0001759403832505323, + "loss": 1.2401, + "step": 341 + }, + { + "epoch": 0.48, + "grad_norm": 0.5412053465843201, + "learning_rate": 0.00017586941092973741, + "loss": 1.2027, + "step": 342 + }, + { + "epoch": 0.49, + "grad_norm": 0.5590038895606995, + "learning_rate": 0.00017579843860894253, + "loss": 1.1883, + "step": 343 + }, + { + "epoch": 0.49, + "grad_norm": 0.5496480464935303, + "learning_rate": 0.0001757274662881476, + "loss": 1.2329, + "step": 344 + }, + { + "epoch": 0.49, + "grad_norm": 0.5843716263771057, + "learning_rate": 0.00017565649396735273, + "loss": 1.249, + "step": 345 + }, + { + "epoch": 0.49, + "grad_norm": 0.6055741906166077, + "learning_rate": 0.00017558552164655787, + "loss": 1.1477, + "step": 346 + }, + { + "epoch": 0.49, + "grad_norm": 0.5583242177963257, + "learning_rate": 0.00017551454932576298, + "loss": 1.2862, + "step": 347 + }, + { + "epoch": 0.49, + "grad_norm": 2.0163357257843018, + "learning_rate": 0.00017544357700496806, + "loss": 1.2014, + "step": 348 + }, + { + "epoch": 0.49, + "grad_norm": 0.6089881658554077, + "learning_rate": 0.00017537260468417318, + "loss": 1.3267, + "step": 349 + }, + { + "epoch": 0.5, + "grad_norm": 0.5367897748947144, + "learning_rate": 0.0001753016323633783, + "loss": 1.2379, + "step": 350 + }, + { + "epoch": 0.5, + "grad_norm": 0.5732371807098389, + "learning_rate": 0.0001752306600425834, + "loss": 1.2557, + "step": 351 + }, + { + "epoch": 0.5, + "grad_norm": 0.6220402717590332, + "learning_rate": 0.0001751596877217885, + "loss": 1.2415, + "step": 352 + }, + { + "epoch": 0.5, + "grad_norm": 0.5300910472869873, + "learning_rate": 0.00017508871540099363, + "loss": 1.2322, + "step": 353 + }, + { + "epoch": 0.5, + "grad_norm": 0.5924064517021179, + "learning_rate": 0.00017501774308019874, + "loss": 1.2216, + "step": 354 + }, + { + "epoch": 0.5, + "grad_norm": 0.5625554323196411, + "learning_rate": 0.00017494677075940385, + "loss": 1.1887, + "step": 355 + }, + { + "epoch": 0.5, + "grad_norm": 0.5225299000740051, + "learning_rate": 0.00017487579843860894, + "loss": 1.2274, + "step": 356 + }, + { + "epoch": 0.51, + "grad_norm": 0.5613044500350952, + "learning_rate": 0.00017480482611781405, + "loss": 1.2268, + "step": 357 + }, + { + "epoch": 0.51, + "grad_norm": 0.5904155373573303, + "learning_rate": 0.00017473385379701916, + "loss": 1.266, + "step": 358 + }, + { + "epoch": 0.51, + "grad_norm": 0.5112659335136414, + "learning_rate": 0.00017466288147622428, + "loss": 1.2891, + "step": 359 + }, + { + "epoch": 0.51, + "grad_norm": 0.5344319343566895, + "learning_rate": 0.0001745919091554294, + "loss": 1.2561, + "step": 360 + }, + { + "epoch": 0.51, + "grad_norm": 0.5556378364562988, + "learning_rate": 0.0001745209368346345, + "loss": 1.263, + "step": 361 + }, + { + "epoch": 0.51, + "grad_norm": 0.5675813555717468, + "learning_rate": 0.00017444996451383962, + "loss": 1.3235, + "step": 362 + }, + { + "epoch": 0.51, + "grad_norm": 0.5817593932151794, + "learning_rate": 0.00017437899219304473, + "loss": 1.3471, + "step": 363 + }, + { + "epoch": 0.52, + "grad_norm": 0.5670614242553711, + "learning_rate": 0.00017430801987224984, + "loss": 1.3019, + "step": 364 + }, + { + "epoch": 0.52, + "grad_norm": 0.5784518122673035, + "learning_rate": 0.00017423704755145493, + "loss": 1.2122, + "step": 365 + }, + { + "epoch": 0.52, + "grad_norm": 0.5680185556411743, + "learning_rate": 0.00017416607523066004, + "loss": 1.2042, + "step": 366 + }, + { + "epoch": 0.52, + "grad_norm": 0.5474495887756348, + "learning_rate": 0.00017409510290986518, + "loss": 1.1273, + "step": 367 + }, + { + "epoch": 0.52, + "grad_norm": 0.5586380362510681, + "learning_rate": 0.00017402413058907026, + "loss": 1.2425, + "step": 368 + }, + { + "epoch": 0.52, + "grad_norm": 0.5608516335487366, + "learning_rate": 0.00017395315826827538, + "loss": 1.228, + "step": 369 + }, + { + "epoch": 0.52, + "grad_norm": 0.5339083075523376, + "learning_rate": 0.0001738821859474805, + "loss": 1.2171, + "step": 370 + }, + { + "epoch": 0.53, + "grad_norm": 0.5438979268074036, + "learning_rate": 0.0001738112136266856, + "loss": 1.2474, + "step": 371 + }, + { + "epoch": 0.53, + "grad_norm": 0.534762978553772, + "learning_rate": 0.00017374024130589072, + "loss": 1.2844, + "step": 372 + }, + { + "epoch": 0.53, + "grad_norm": 0.5463000535964966, + "learning_rate": 0.0001736692689850958, + "loss": 1.2389, + "step": 373 + }, + { + "epoch": 0.53, + "grad_norm": 0.5256685018539429, + "learning_rate": 0.00017359829666430094, + "loss": 1.2425, + "step": 374 + }, + { + "epoch": 0.53, + "grad_norm": 0.509695827960968, + "learning_rate": 0.00017352732434350605, + "loss": 1.2685, + "step": 375 + }, + { + "epoch": 0.53, + "grad_norm": 0.532911479473114, + "learning_rate": 0.00017345635202271117, + "loss": 1.237, + "step": 376 + }, + { + "epoch": 0.53, + "grad_norm": 0.5342946648597717, + "learning_rate": 0.00017338537970191625, + "loss": 1.2334, + "step": 377 + }, + { + "epoch": 0.54, + "grad_norm": 0.5660805702209473, + "learning_rate": 0.00017331440738112136, + "loss": 1.1716, + "step": 378 + }, + { + "epoch": 0.54, + "grad_norm": 0.5654976963996887, + "learning_rate": 0.00017324343506032648, + "loss": 1.2343, + "step": 379 + }, + { + "epoch": 0.54, + "grad_norm": 0.5845637917518616, + "learning_rate": 0.0001731724627395316, + "loss": 1.2037, + "step": 380 + }, + { + "epoch": 0.54, + "grad_norm": 0.570573091506958, + "learning_rate": 0.0001731014904187367, + "loss": 1.2255, + "step": 381 + }, + { + "epoch": 0.54, + "grad_norm": 0.567817747592926, + "learning_rate": 0.00017303051809794182, + "loss": 1.2238, + "step": 382 + }, + { + "epoch": 0.54, + "grad_norm": 0.5502271056175232, + "learning_rate": 0.00017295954577714693, + "loss": 1.2237, + "step": 383 + }, + { + "epoch": 0.54, + "grad_norm": 0.5540646314620972, + "learning_rate": 0.00017288857345635204, + "loss": 1.2192, + "step": 384 + }, + { + "epoch": 0.55, + "grad_norm": 0.5388753414154053, + "learning_rate": 0.00017281760113555713, + "loss": 1.2181, + "step": 385 + }, + { + "epoch": 0.55, + "grad_norm": 0.5435704588890076, + "learning_rate": 0.00017274662881476224, + "loss": 1.1588, + "step": 386 + }, + { + "epoch": 0.55, + "grad_norm": 0.5815427899360657, + "learning_rate": 0.00017267565649396735, + "loss": 1.1784, + "step": 387 + }, + { + "epoch": 0.55, + "grad_norm": 0.5804842710494995, + "learning_rate": 0.0001726046841731725, + "loss": 1.274, + "step": 388 + }, + { + "epoch": 0.55, + "grad_norm": 0.5361278057098389, + "learning_rate": 0.00017253371185237758, + "loss": 1.1567, + "step": 389 + }, + { + "epoch": 0.55, + "grad_norm": 0.5804944038391113, + "learning_rate": 0.0001724627395315827, + "loss": 1.2138, + "step": 390 + }, + { + "epoch": 0.55, + "grad_norm": 0.5311663150787354, + "learning_rate": 0.0001723917672107878, + "loss": 1.2318, + "step": 391 + }, + { + "epoch": 0.56, + "grad_norm": 0.5714538097381592, + "learning_rate": 0.00017232079488999292, + "loss": 1.1928, + "step": 392 + }, + { + "epoch": 0.56, + "grad_norm": 0.5973841547966003, + "learning_rate": 0.00017224982256919803, + "loss": 1.208, + "step": 393 + }, + { + "epoch": 0.56, + "grad_norm": 0.644917368888855, + "learning_rate": 0.00017217885024840311, + "loss": 1.2642, + "step": 394 + }, + { + "epoch": 0.56, + "grad_norm": 0.586104691028595, + "learning_rate": 0.00017210787792760825, + "loss": 1.2574, + "step": 395 + }, + { + "epoch": 0.56, + "grad_norm": 0.583574652671814, + "learning_rate": 0.00017203690560681337, + "loss": 1.327, + "step": 396 + }, + { + "epoch": 0.56, + "grad_norm": 0.5617191195487976, + "learning_rate": 0.00017196593328601848, + "loss": 1.1605, + "step": 397 + }, + { + "epoch": 0.56, + "grad_norm": 0.5635659098625183, + "learning_rate": 0.00017189496096522356, + "loss": 1.2222, + "step": 398 + }, + { + "epoch": 0.57, + "grad_norm": 0.6253629326820374, + "learning_rate": 0.00017182398864442868, + "loss": 1.2162, + "step": 399 + }, + { + "epoch": 0.57, + "grad_norm": 0.6384497880935669, + "learning_rate": 0.0001717530163236338, + "loss": 1.2878, + "step": 400 + }, + { + "epoch": 0.57, + "grad_norm": 0.5805338621139526, + "learning_rate": 0.0001716820440028389, + "loss": 1.2664, + "step": 401 + }, + { + "epoch": 0.57, + "grad_norm": 0.5705095529556274, + "learning_rate": 0.000171611071682044, + "loss": 1.2205, + "step": 402 + }, + { + "epoch": 0.57, + "grad_norm": 0.5843649506568909, + "learning_rate": 0.00017154009936124913, + "loss": 1.2003, + "step": 403 + }, + { + "epoch": 0.57, + "grad_norm": 0.5798406600952148, + "learning_rate": 0.00017146912704045424, + "loss": 1.228, + "step": 404 + }, + { + "epoch": 0.57, + "grad_norm": 0.60892254114151, + "learning_rate": 0.00017139815471965935, + "loss": 1.1853, + "step": 405 + }, + { + "epoch": 0.58, + "grad_norm": 0.592847466468811, + "learning_rate": 0.00017132718239886444, + "loss": 1.2062, + "step": 406 + }, + { + "epoch": 0.58, + "grad_norm": 0.5821055769920349, + "learning_rate": 0.00017125621007806955, + "loss": 1.1844, + "step": 407 + }, + { + "epoch": 0.58, + "grad_norm": 0.5680034160614014, + "learning_rate": 0.00017118523775727466, + "loss": 1.235, + "step": 408 + }, + { + "epoch": 0.58, + "grad_norm": 0.5684024095535278, + "learning_rate": 0.00017111426543647978, + "loss": 1.209, + "step": 409 + }, + { + "epoch": 0.58, + "grad_norm": 0.5451253056526184, + "learning_rate": 0.0001710432931156849, + "loss": 1.2026, + "step": 410 + }, + { + "epoch": 0.58, + "grad_norm": 0.5240196585655212, + "learning_rate": 0.00017097232079489, + "loss": 1.1733, + "step": 411 + }, + { + "epoch": 0.58, + "grad_norm": 0.5445153713226318, + "learning_rate": 0.00017090134847409512, + "loss": 1.2643, + "step": 412 + }, + { + "epoch": 0.59, + "grad_norm": 0.5214688181877136, + "learning_rate": 0.00017083037615330023, + "loss": 1.2381, + "step": 413 + }, + { + "epoch": 0.59, + "grad_norm": 0.5414560437202454, + "learning_rate": 0.00017075940383250531, + "loss": 1.2705, + "step": 414 + }, + { + "epoch": 0.59, + "grad_norm": 0.567355215549469, + "learning_rate": 0.00017068843151171043, + "loss": 1.2956, + "step": 415 + }, + { + "epoch": 0.59, + "grad_norm": 0.5429472327232361, + "learning_rate": 0.00017061745919091554, + "loss": 1.2057, + "step": 416 + }, + { + "epoch": 0.59, + "grad_norm": 0.5171405673027039, + "learning_rate": 0.00017054648687012068, + "loss": 1.1803, + "step": 417 + }, + { + "epoch": 0.59, + "grad_norm": 0.5672470331192017, + "learning_rate": 0.00017047551454932577, + "loss": 1.2566, + "step": 418 + }, + { + "epoch": 0.59, + "grad_norm": 0.5415303707122803, + "learning_rate": 0.00017040454222853088, + "loss": 1.2364, + "step": 419 + }, + { + "epoch": 0.6, + "grad_norm": 0.546066164970398, + "learning_rate": 0.000170333569907736, + "loss": 1.2458, + "step": 420 + }, + { + "epoch": 0.6, + "grad_norm": 0.532200813293457, + "learning_rate": 0.0001702625975869411, + "loss": 1.227, + "step": 421 + }, + { + "epoch": 0.6, + "grad_norm": 0.5418232679367065, + "learning_rate": 0.00017019162526614622, + "loss": 1.1896, + "step": 422 + }, + { + "epoch": 0.6, + "grad_norm": 0.5557692646980286, + "learning_rate": 0.0001701206529453513, + "loss": 1.213, + "step": 423 + }, + { + "epoch": 0.6, + "grad_norm": 0.5730442404747009, + "learning_rate": 0.00017004968062455644, + "loss": 1.1846, + "step": 424 + }, + { + "epoch": 0.6, + "grad_norm": 0.5887081027030945, + "learning_rate": 0.00016997870830376155, + "loss": 1.2557, + "step": 425 + }, + { + "epoch": 0.6, + "grad_norm": 0.5441513061523438, + "learning_rate": 0.00016990773598296667, + "loss": 1.2167, + "step": 426 + }, + { + "epoch": 0.6, + "grad_norm": 0.5610032081604004, + "learning_rate": 0.00016983676366217175, + "loss": 1.2331, + "step": 427 + }, + { + "epoch": 0.61, + "grad_norm": 0.5748931765556335, + "learning_rate": 0.00016976579134137687, + "loss": 1.1176, + "step": 428 + }, + { + "epoch": 0.61, + "grad_norm": 0.5597652196884155, + "learning_rate": 0.00016969481902058198, + "loss": 1.2147, + "step": 429 + }, + { + "epoch": 0.61, + "grad_norm": 0.5750680565834045, + "learning_rate": 0.0001696238466997871, + "loss": 1.2943, + "step": 430 + }, + { + "epoch": 0.61, + "grad_norm": 0.5501390695571899, + "learning_rate": 0.0001695528743789922, + "loss": 1.242, + "step": 431 + }, + { + "epoch": 0.61, + "grad_norm": 0.5521880984306335, + "learning_rate": 0.00016948190205819732, + "loss": 1.1144, + "step": 432 + }, + { + "epoch": 0.61, + "grad_norm": 0.563677191734314, + "learning_rate": 0.00016941092973740243, + "loss": 1.2875, + "step": 433 + }, + { + "epoch": 0.61, + "grad_norm": 0.5883916616439819, + "learning_rate": 0.00016933995741660754, + "loss": 1.2823, + "step": 434 + }, + { + "epoch": 0.62, + "grad_norm": 0.5612311363220215, + "learning_rate": 0.00016926898509581263, + "loss": 1.1956, + "step": 435 + }, + { + "epoch": 0.62, + "grad_norm": 0.5482412576675415, + "learning_rate": 0.00016919801277501774, + "loss": 1.2513, + "step": 436 + }, + { + "epoch": 0.62, + "grad_norm": 0.519913911819458, + "learning_rate": 0.00016912704045422285, + "loss": 1.2337, + "step": 437 + }, + { + "epoch": 0.62, + "grad_norm": 0.5395796895027161, + "learning_rate": 0.000169056068133428, + "loss": 1.2148, + "step": 438 + }, + { + "epoch": 0.62, + "grad_norm": 0.5586941242218018, + "learning_rate": 0.00016898509581263308, + "loss": 1.1486, + "step": 439 + }, + { + "epoch": 0.62, + "grad_norm": 0.5568752884864807, + "learning_rate": 0.0001689141234918382, + "loss": 1.2541, + "step": 440 + }, + { + "epoch": 0.62, + "grad_norm": 0.5618448853492737, + "learning_rate": 0.0001688431511710433, + "loss": 1.2332, + "step": 441 + }, + { + "epoch": 0.63, + "grad_norm": 0.5413042902946472, + "learning_rate": 0.00016877217885024842, + "loss": 1.2234, + "step": 442 + }, + { + "epoch": 0.63, + "grad_norm": 0.5402277112007141, + "learning_rate": 0.0001687012065294535, + "loss": 1.2421, + "step": 443 + }, + { + "epoch": 0.63, + "grad_norm": 0.5068058967590332, + "learning_rate": 0.00016863023420865861, + "loss": 1.2887, + "step": 444 + }, + { + "epoch": 0.63, + "grad_norm": 0.5408315658569336, + "learning_rate": 0.00016855926188786375, + "loss": 1.2649, + "step": 445 + }, + { + "epoch": 0.63, + "grad_norm": 0.5410880446434021, + "learning_rate": 0.00016848828956706887, + "loss": 1.2779, + "step": 446 + }, + { + "epoch": 0.63, + "grad_norm": 0.5637301206588745, + "learning_rate": 0.00016841731724627395, + "loss": 1.1927, + "step": 447 + }, + { + "epoch": 0.63, + "grad_norm": 0.5596689581871033, + "learning_rate": 0.00016834634492547907, + "loss": 1.246, + "step": 448 + }, + { + "epoch": 0.64, + "grad_norm": 0.5656019449234009, + "learning_rate": 0.00016827537260468418, + "loss": 1.2089, + "step": 449 + }, + { + "epoch": 0.64, + "grad_norm": 0.5710034966468811, + "learning_rate": 0.0001682044002838893, + "loss": 1.2327, + "step": 450 + }, + { + "epoch": 0.64, + "grad_norm": 0.5633525848388672, + "learning_rate": 0.0001681334279630944, + "loss": 1.1619, + "step": 451 + }, + { + "epoch": 0.64, + "grad_norm": 0.5352773070335388, + "learning_rate": 0.00016806245564229952, + "loss": 1.2318, + "step": 452 + }, + { + "epoch": 0.64, + "grad_norm": 0.5729439854621887, + "learning_rate": 0.00016799148332150463, + "loss": 1.208, + "step": 453 + }, + { + "epoch": 0.64, + "grad_norm": 0.5703145861625671, + "learning_rate": 0.00016792051100070974, + "loss": 1.2752, + "step": 454 + }, + { + "epoch": 0.64, + "grad_norm": 0.5441925525665283, + "learning_rate": 0.00016784953867991485, + "loss": 1.2427, + "step": 455 + }, + { + "epoch": 0.65, + "grad_norm": 0.5500312447547913, + "learning_rate": 0.00016777856635911994, + "loss": 1.1833, + "step": 456 + }, + { + "epoch": 0.65, + "grad_norm": 0.538560688495636, + "learning_rate": 0.00016770759403832505, + "loss": 1.1809, + "step": 457 + }, + { + "epoch": 0.65, + "grad_norm": 0.5843518972396851, + "learning_rate": 0.00016763662171753017, + "loss": 1.2804, + "step": 458 + }, + { + "epoch": 0.65, + "grad_norm": 0.5413994789123535, + "learning_rate": 0.00016756564939673528, + "loss": 1.2109, + "step": 459 + }, + { + "epoch": 0.65, + "grad_norm": 0.5343271493911743, + "learning_rate": 0.0001674946770759404, + "loss": 1.2236, + "step": 460 + }, + { + "epoch": 0.65, + "grad_norm": 0.5626118183135986, + "learning_rate": 0.0001674237047551455, + "loss": 1.1744, + "step": 461 + }, + { + "epoch": 0.65, + "grad_norm": 0.5811516642570496, + "learning_rate": 0.00016735273243435062, + "loss": 1.2039, + "step": 462 + }, + { + "epoch": 0.66, + "grad_norm": 0.5644727945327759, + "learning_rate": 0.00016728176011355573, + "loss": 1.2103, + "step": 463 + }, + { + "epoch": 0.66, + "grad_norm": 0.560869574546814, + "learning_rate": 0.00016721078779276081, + "loss": 1.1694, + "step": 464 + }, + { + "epoch": 0.66, + "grad_norm": 0.5319089293479919, + "learning_rate": 0.00016713981547196593, + "loss": 1.1809, + "step": 465 + }, + { + "epoch": 0.66, + "grad_norm": 0.5337138175964355, + "learning_rate": 0.00016706884315117107, + "loss": 1.1381, + "step": 466 + }, + { + "epoch": 0.66, + "grad_norm": 0.565428614616394, + "learning_rate": 0.00016699787083037618, + "loss": 1.2766, + "step": 467 + }, + { + "epoch": 0.66, + "grad_norm": 0.5666337013244629, + "learning_rate": 0.00016692689850958127, + "loss": 1.2236, + "step": 468 + }, + { + "epoch": 0.66, + "grad_norm": 0.5685385465621948, + "learning_rate": 0.00016685592618878638, + "loss": 1.1651, + "step": 469 + }, + { + "epoch": 0.67, + "grad_norm": 0.5501173734664917, + "learning_rate": 0.0001667849538679915, + "loss": 1.2433, + "step": 470 + }, + { + "epoch": 0.67, + "grad_norm": 0.5514901280403137, + "learning_rate": 0.0001667139815471966, + "loss": 1.1912, + "step": 471 + }, + { + "epoch": 0.67, + "grad_norm": 0.5558573603630066, + "learning_rate": 0.0001666430092264017, + "loss": 1.2777, + "step": 472 + }, + { + "epoch": 0.67, + "grad_norm": 0.5633502006530762, + "learning_rate": 0.00016657203690560683, + "loss": 1.2223, + "step": 473 + }, + { + "epoch": 0.67, + "grad_norm": 0.5611795783042908, + "learning_rate": 0.00016650106458481194, + "loss": 1.156, + "step": 474 + }, + { + "epoch": 0.67, + "grad_norm": 0.5518985986709595, + "learning_rate": 0.00016643009226401705, + "loss": 1.2571, + "step": 475 + }, + { + "epoch": 0.67, + "grad_norm": 0.5667358040809631, + "learning_rate": 0.00016635911994322214, + "loss": 1.2574, + "step": 476 + }, + { + "epoch": 0.68, + "grad_norm": 0.5549746751785278, + "learning_rate": 0.00016628814762242725, + "loss": 1.2252, + "step": 477 + }, + { + "epoch": 0.68, + "grad_norm": 0.5677898526191711, + "learning_rate": 0.00016621717530163237, + "loss": 1.2288, + "step": 478 + }, + { + "epoch": 0.68, + "grad_norm": 0.5517006516456604, + "learning_rate": 0.00016614620298083748, + "loss": 1.2153, + "step": 479 + }, + { + "epoch": 0.68, + "grad_norm": 0.5561969876289368, + "learning_rate": 0.0001660752306600426, + "loss": 1.2308, + "step": 480 + }, + { + "epoch": 0.68, + "grad_norm": 0.5672180652618408, + "learning_rate": 0.0001660042583392477, + "loss": 1.2362, + "step": 481 + }, + { + "epoch": 0.68, + "grad_norm": 0.5887801647186279, + "learning_rate": 0.00016593328601845282, + "loss": 1.2541, + "step": 482 + }, + { + "epoch": 0.68, + "grad_norm": 0.5410957336425781, + "learning_rate": 0.00016586231369765793, + "loss": 1.198, + "step": 483 + }, + { + "epoch": 0.69, + "grad_norm": 0.5757806897163391, + "learning_rate": 0.00016579134137686304, + "loss": 1.2226, + "step": 484 + }, + { + "epoch": 0.69, + "grad_norm": 0.5371631979942322, + "learning_rate": 0.00016572036905606813, + "loss": 1.1952, + "step": 485 + }, + { + "epoch": 0.69, + "grad_norm": 0.528356671333313, + "learning_rate": 0.00016564939673527324, + "loss": 1.2062, + "step": 486 + }, + { + "epoch": 0.69, + "grad_norm": 0.5555338859558105, + "learning_rate": 0.00016557842441447835, + "loss": 1.283, + "step": 487 + }, + { + "epoch": 0.69, + "grad_norm": 0.5706049799919128, + "learning_rate": 0.00016550745209368347, + "loss": 1.1803, + "step": 488 + }, + { + "epoch": 0.69, + "grad_norm": 0.5852779150009155, + "learning_rate": 0.00016543647977288858, + "loss": 1.2062, + "step": 489 + }, + { + "epoch": 0.69, + "grad_norm": 0.5755358934402466, + "learning_rate": 0.0001653655074520937, + "loss": 1.3143, + "step": 490 + }, + { + "epoch": 0.7, + "grad_norm": 0.5640034079551697, + "learning_rate": 0.0001652945351312988, + "loss": 1.1585, + "step": 491 + }, + { + "epoch": 0.7, + "grad_norm": 0.576317310333252, + "learning_rate": 0.00016522356281050392, + "loss": 1.332, + "step": 492 + }, + { + "epoch": 0.7, + "grad_norm": 0.5770896077156067, + "learning_rate": 0.000165152590489709, + "loss": 1.2555, + "step": 493 + }, + { + "epoch": 0.7, + "grad_norm": 0.576921284198761, + "learning_rate": 0.00016508161816891412, + "loss": 1.3109, + "step": 494 + }, + { + "epoch": 0.7, + "grad_norm": 0.5501707792282104, + "learning_rate": 0.00016501064584811926, + "loss": 1.2497, + "step": 495 + }, + { + "epoch": 0.7, + "grad_norm": 0.5693079829216003, + "learning_rate": 0.00016493967352732437, + "loss": 1.2341, + "step": 496 + }, + { + "epoch": 0.7, + "grad_norm": 0.5721957087516785, + "learning_rate": 0.00016486870120652945, + "loss": 1.1374, + "step": 497 + }, + { + "epoch": 0.71, + "grad_norm": 0.5555086135864258, + "learning_rate": 0.00016479772888573457, + "loss": 1.1855, + "step": 498 + }, + { + "epoch": 0.71, + "grad_norm": 0.5749430060386658, + "learning_rate": 0.00016472675656493968, + "loss": 1.1561, + "step": 499 + }, + { + "epoch": 0.71, + "grad_norm": 0.5816613435745239, + "learning_rate": 0.0001646557842441448, + "loss": 1.2336, + "step": 500 + }, + { + "epoch": 0.71, + "grad_norm": 0.5536159873008728, + "learning_rate": 0.00016458481192334988, + "loss": 1.2006, + "step": 501 + }, + { + "epoch": 0.71, + "grad_norm": 0.5615043044090271, + "learning_rate": 0.00016451383960255502, + "loss": 1.2464, + "step": 502 + }, + { + "epoch": 0.71, + "grad_norm": 0.5301942825317383, + "learning_rate": 0.00016444286728176013, + "loss": 1.0993, + "step": 503 + }, + { + "epoch": 0.71, + "grad_norm": 0.5370047092437744, + "learning_rate": 0.00016437189496096524, + "loss": 1.2876, + "step": 504 + }, + { + "epoch": 0.72, + "grad_norm": 0.549637496471405, + "learning_rate": 0.00016430092264017033, + "loss": 1.2099, + "step": 505 + }, + { + "epoch": 0.72, + "grad_norm": 0.5674926042556763, + "learning_rate": 0.00016422995031937544, + "loss": 1.2473, + "step": 506 + }, + { + "epoch": 0.72, + "grad_norm": 0.5429442524909973, + "learning_rate": 0.00016415897799858055, + "loss": 1.1994, + "step": 507 + }, + { + "epoch": 0.72, + "grad_norm": 0.5792283415794373, + "learning_rate": 0.00016408800567778567, + "loss": 1.1834, + "step": 508 + }, + { + "epoch": 0.72, + "grad_norm": 0.5722516179084778, + "learning_rate": 0.00016401703335699078, + "loss": 1.1922, + "step": 509 + }, + { + "epoch": 0.72, + "grad_norm": 0.6014196276664734, + "learning_rate": 0.0001639460610361959, + "loss": 1.1813, + "step": 510 + }, + { + "epoch": 0.72, + "grad_norm": 0.5406440496444702, + "learning_rate": 0.000163875088715401, + "loss": 1.1248, + "step": 511 + }, + { + "epoch": 0.73, + "grad_norm": 0.5606802701950073, + "learning_rate": 0.00016380411639460612, + "loss": 1.2143, + "step": 512 + }, + { + "epoch": 0.73, + "grad_norm": 0.5731990933418274, + "learning_rate": 0.00016373314407381123, + "loss": 1.2202, + "step": 513 + }, + { + "epoch": 0.73, + "grad_norm": 0.5451279282569885, + "learning_rate": 0.00016366217175301632, + "loss": 1.2338, + "step": 514 + }, + { + "epoch": 0.73, + "grad_norm": 0.5566918849945068, + "learning_rate": 0.00016359119943222143, + "loss": 1.2574, + "step": 515 + }, + { + "epoch": 0.73, + "grad_norm": 0.5759538412094116, + "learning_rate": 0.00016352022711142657, + "loss": 1.2868, + "step": 516 + }, + { + "epoch": 0.73, + "grad_norm": 0.5528054237365723, + "learning_rate": 0.00016344925479063165, + "loss": 1.1986, + "step": 517 + }, + { + "epoch": 0.73, + "grad_norm": 0.5640310645103455, + "learning_rate": 0.00016337828246983677, + "loss": 1.2458, + "step": 518 + }, + { + "epoch": 0.74, + "grad_norm": 0.5853886604309082, + "learning_rate": 0.00016330731014904188, + "loss": 1.1772, + "step": 519 + }, + { + "epoch": 0.74, + "grad_norm": 0.5519319176673889, + "learning_rate": 0.000163236337828247, + "loss": 1.1771, + "step": 520 + }, + { + "epoch": 0.74, + "grad_norm": 0.571728527545929, + "learning_rate": 0.0001631653655074521, + "loss": 1.1939, + "step": 521 + }, + { + "epoch": 0.74, + "grad_norm": 0.5816935896873474, + "learning_rate": 0.0001630943931866572, + "loss": 1.1395, + "step": 522 + }, + { + "epoch": 0.74, + "grad_norm": 0.5645069479942322, + "learning_rate": 0.00016302342086586233, + "loss": 1.2277, + "step": 523 + }, + { + "epoch": 0.74, + "grad_norm": 0.5603705048561096, + "learning_rate": 0.00016295244854506744, + "loss": 1.2194, + "step": 524 + }, + { + "epoch": 0.74, + "grad_norm": 0.5555822253227234, + "learning_rate": 0.00016288147622427256, + "loss": 1.166, + "step": 525 + }, + { + "epoch": 0.75, + "grad_norm": 0.5700538158416748, + "learning_rate": 0.00016281050390347764, + "loss": 1.2747, + "step": 526 + }, + { + "epoch": 0.75, + "grad_norm": 0.5572327375411987, + "learning_rate": 0.00016273953158268275, + "loss": 1.1742, + "step": 527 + }, + { + "epoch": 0.75, + "grad_norm": 0.5874422192573547, + "learning_rate": 0.00016266855926188787, + "loss": 1.2637, + "step": 528 + }, + { + "epoch": 0.75, + "grad_norm": 0.61215740442276, + "learning_rate": 0.00016259758694109298, + "loss": 1.2082, + "step": 529 + }, + { + "epoch": 0.75, + "grad_norm": 0.5912395119667053, + "learning_rate": 0.0001625266146202981, + "loss": 1.2397, + "step": 530 + }, + { + "epoch": 0.75, + "grad_norm": 0.5844393968582153, + "learning_rate": 0.0001624556422995032, + "loss": 1.2337, + "step": 531 + }, + { + "epoch": 0.75, + "grad_norm": 0.5393280982971191, + "learning_rate": 0.00016238466997870832, + "loss": 1.1741, + "step": 532 + }, + { + "epoch": 0.76, + "grad_norm": 0.5622760653495789, + "learning_rate": 0.00016231369765791343, + "loss": 1.1932, + "step": 533 + }, + { + "epoch": 0.76, + "grad_norm": 0.5254821181297302, + "learning_rate": 0.00016224272533711852, + "loss": 1.1992, + "step": 534 + }, + { + "epoch": 0.76, + "grad_norm": 0.5416676998138428, + "learning_rate": 0.00016217175301632363, + "loss": 1.2038, + "step": 535 + }, + { + "epoch": 0.76, + "grad_norm": 0.5292723178863525, + "learning_rate": 0.00016210078069552874, + "loss": 1.2346, + "step": 536 + }, + { + "epoch": 0.76, + "grad_norm": 0.5630815029144287, + "learning_rate": 0.00016202980837473388, + "loss": 1.1923, + "step": 537 + }, + { + "epoch": 0.76, + "grad_norm": 0.5653424263000488, + "learning_rate": 0.00016195883605393897, + "loss": 1.2701, + "step": 538 + }, + { + "epoch": 0.76, + "grad_norm": 0.5717771053314209, + "learning_rate": 0.00016188786373314408, + "loss": 1.2556, + "step": 539 + }, + { + "epoch": 0.77, + "grad_norm": 0.5919432640075684, + "learning_rate": 0.0001618168914123492, + "loss": 1.2069, + "step": 540 + }, + { + "epoch": 0.77, + "grad_norm": 0.5614644885063171, + "learning_rate": 0.0001617459190915543, + "loss": 1.24, + "step": 541 + }, + { + "epoch": 0.77, + "grad_norm": 0.5731059908866882, + "learning_rate": 0.00016167494677075942, + "loss": 1.1578, + "step": 542 + }, + { + "epoch": 0.77, + "grad_norm": 0.5611764192581177, + "learning_rate": 0.0001616039744499645, + "loss": 1.1595, + "step": 543 + }, + { + "epoch": 0.77, + "grad_norm": 0.5955880880355835, + "learning_rate": 0.00016153300212916964, + "loss": 1.1857, + "step": 544 + }, + { + "epoch": 0.77, + "grad_norm": 0.5684686303138733, + "learning_rate": 0.00016146202980837476, + "loss": 1.1648, + "step": 545 + }, + { + "epoch": 0.77, + "grad_norm": 0.5427114367485046, + "learning_rate": 0.00016139105748757987, + "loss": 1.2056, + "step": 546 + }, + { + "epoch": 0.77, + "grad_norm": 0.5569632053375244, + "learning_rate": 0.00016132008516678495, + "loss": 1.1554, + "step": 547 + }, + { + "epoch": 0.78, + "grad_norm": 0.5450757145881653, + "learning_rate": 0.00016124911284599007, + "loss": 1.1602, + "step": 548 + }, + { + "epoch": 0.78, + "grad_norm": 0.5493456125259399, + "learning_rate": 0.00016117814052519518, + "loss": 1.1994, + "step": 549 + }, + { + "epoch": 0.78, + "grad_norm": 0.5915331244468689, + "learning_rate": 0.0001611071682044003, + "loss": 1.2192, + "step": 550 + }, + { + "epoch": 0.78, + "grad_norm": 0.5696746110916138, + "learning_rate": 0.0001610361958836054, + "loss": 1.1858, + "step": 551 + }, + { + "epoch": 0.78, + "grad_norm": 0.5555996894836426, + "learning_rate": 0.00016096522356281052, + "loss": 1.2077, + "step": 552 + }, + { + "epoch": 0.78, + "grad_norm": 0.5695299506187439, + "learning_rate": 0.00016089425124201563, + "loss": 1.2805, + "step": 553 + }, + { + "epoch": 0.78, + "grad_norm": 0.5820121169090271, + "learning_rate": 0.00016082327892122074, + "loss": 1.1841, + "step": 554 + }, + { + "epoch": 0.79, + "grad_norm": 0.5951303243637085, + "learning_rate": 0.00016075230660042583, + "loss": 1.2728, + "step": 555 + }, + { + "epoch": 0.79, + "grad_norm": 0.5539563298225403, + "learning_rate": 0.00016068133427963094, + "loss": 1.2861, + "step": 556 + }, + { + "epoch": 0.79, + "grad_norm": 0.5624521970748901, + "learning_rate": 0.00016061036195883605, + "loss": 1.1379, + "step": 557 + }, + { + "epoch": 0.79, + "grad_norm": 0.5960082411766052, + "learning_rate": 0.0001605393896380412, + "loss": 1.2268, + "step": 558 + }, + { + "epoch": 0.79, + "grad_norm": 0.5910595059394836, + "learning_rate": 0.00016046841731724628, + "loss": 1.1165, + "step": 559 + }, + { + "epoch": 0.79, + "grad_norm": 0.6063516139984131, + "learning_rate": 0.0001603974449964514, + "loss": 1.2154, + "step": 560 + }, + { + "epoch": 0.79, + "grad_norm": 0.5970266461372375, + "learning_rate": 0.0001603264726756565, + "loss": 1.2419, + "step": 561 + }, + { + "epoch": 0.8, + "grad_norm": 0.5765990018844604, + "learning_rate": 0.00016025550035486162, + "loss": 1.1821, + "step": 562 + }, + { + "epoch": 0.8, + "grad_norm": 0.556180477142334, + "learning_rate": 0.0001601845280340667, + "loss": 1.206, + "step": 563 + }, + { + "epoch": 0.8, + "grad_norm": 0.5440099835395813, + "learning_rate": 0.00016011355571327182, + "loss": 1.2757, + "step": 564 + }, + { + "epoch": 0.8, + "grad_norm": 0.5394881963729858, + "learning_rate": 0.00016004258339247696, + "loss": 1.1814, + "step": 565 + }, + { + "epoch": 0.8, + "grad_norm": 0.5824431777000427, + "learning_rate": 0.00015997161107168207, + "loss": 1.1821, + "step": 566 + }, + { + "epoch": 0.8, + "grad_norm": 0.6307337880134583, + "learning_rate": 0.00015990063875088715, + "loss": 1.2679, + "step": 567 + }, + { + "epoch": 0.8, + "grad_norm": 0.5689281225204468, + "learning_rate": 0.00015982966643009227, + "loss": 1.2582, + "step": 568 + }, + { + "epoch": 0.81, + "grad_norm": 0.5547791123390198, + "learning_rate": 0.00015975869410929738, + "loss": 1.2367, + "step": 569 + }, + { + "epoch": 0.81, + "grad_norm": 0.6274536848068237, + "learning_rate": 0.0001596877217885025, + "loss": 1.1979, + "step": 570 + }, + { + "epoch": 0.81, + "grad_norm": 0.5949268341064453, + "learning_rate": 0.0001596167494677076, + "loss": 1.2517, + "step": 571 + }, + { + "epoch": 0.81, + "grad_norm": 0.5719754099845886, + "learning_rate": 0.00015954577714691272, + "loss": 1.2743, + "step": 572 + }, + { + "epoch": 0.81, + "grad_norm": 0.5814628601074219, + "learning_rate": 0.00015947480482611783, + "loss": 1.1369, + "step": 573 + }, + { + "epoch": 0.81, + "grad_norm": 0.5738956928253174, + "learning_rate": 0.00015940383250532294, + "loss": 1.1537, + "step": 574 + }, + { + "epoch": 0.81, + "grad_norm": 0.6162692904472351, + "learning_rate": 0.00015933286018452806, + "loss": 1.139, + "step": 575 + }, + { + "epoch": 0.82, + "grad_norm": 0.5667981505393982, + "learning_rate": 0.00015926188786373314, + "loss": 1.2606, + "step": 576 + }, + { + "epoch": 0.82, + "grad_norm": 0.6261587142944336, + "learning_rate": 0.00015919091554293825, + "loss": 1.2971, + "step": 577 + }, + { + "epoch": 0.82, + "grad_norm": 0.5734363794326782, + "learning_rate": 0.00015911994322214337, + "loss": 1.248, + "step": 578 + }, + { + "epoch": 0.82, + "grad_norm": 0.5452428460121155, + "learning_rate": 0.00015904897090134848, + "loss": 1.1698, + "step": 579 + }, + { + "epoch": 0.82, + "grad_norm": 0.5635668635368347, + "learning_rate": 0.0001589779985805536, + "loss": 1.2266, + "step": 580 + }, + { + "epoch": 0.82, + "grad_norm": 0.5433382987976074, + "learning_rate": 0.0001589070262597587, + "loss": 1.1104, + "step": 581 + }, + { + "epoch": 0.82, + "grad_norm": 0.5507457256317139, + "learning_rate": 0.00015883605393896382, + "loss": 1.2375, + "step": 582 + }, + { + "epoch": 0.83, + "grad_norm": 0.5394136309623718, + "learning_rate": 0.00015876508161816893, + "loss": 1.1949, + "step": 583 + }, + { + "epoch": 0.83, + "grad_norm": 0.5387130975723267, + "learning_rate": 0.00015869410929737402, + "loss": 1.1563, + "step": 584 + }, + { + "epoch": 0.83, + "grad_norm": 0.5782540440559387, + "learning_rate": 0.00015862313697657913, + "loss": 1.2099, + "step": 585 + }, + { + "epoch": 0.83, + "grad_norm": 0.5795274972915649, + "learning_rate": 0.00015855216465578424, + "loss": 1.1736, + "step": 586 + }, + { + "epoch": 0.83, + "grad_norm": 0.5905880331993103, + "learning_rate": 0.00015848119233498938, + "loss": 1.1577, + "step": 587 + }, + { + "epoch": 0.83, + "grad_norm": 0.6062709093093872, + "learning_rate": 0.00015841022001419447, + "loss": 1.1655, + "step": 588 + }, + { + "epoch": 0.83, + "grad_norm": 0.6285403370857239, + "learning_rate": 0.00015833924769339958, + "loss": 1.1556, + "step": 589 + }, + { + "epoch": 0.84, + "grad_norm": 0.5971753001213074, + "learning_rate": 0.0001582682753726047, + "loss": 1.2227, + "step": 590 + }, + { + "epoch": 0.84, + "grad_norm": 0.5791364312171936, + "learning_rate": 0.0001581973030518098, + "loss": 1.2093, + "step": 591 + }, + { + "epoch": 0.84, + "grad_norm": 0.5568805932998657, + "learning_rate": 0.0001581263307310149, + "loss": 1.2346, + "step": 592 + }, + { + "epoch": 0.84, + "grad_norm": 0.5391885042190552, + "learning_rate": 0.00015805535841022, + "loss": 1.1697, + "step": 593 + }, + { + "epoch": 0.84, + "grad_norm": 0.567952036857605, + "learning_rate": 0.00015798438608942514, + "loss": 1.2303, + "step": 594 + }, + { + "epoch": 0.84, + "grad_norm": 0.5382447242736816, + "learning_rate": 0.00015791341376863026, + "loss": 1.1986, + "step": 595 + }, + { + "epoch": 0.84, + "grad_norm": 0.5621328949928284, + "learning_rate": 0.00015784244144783534, + "loss": 1.1619, + "step": 596 + }, + { + "epoch": 0.85, + "grad_norm": 0.6134306788444519, + "learning_rate": 0.00015777146912704046, + "loss": 1.1331, + "step": 597 + }, + { + "epoch": 0.85, + "grad_norm": 0.57140052318573, + "learning_rate": 0.00015770049680624557, + "loss": 1.1858, + "step": 598 + }, + { + "epoch": 0.85, + "grad_norm": 0.5893669128417969, + "learning_rate": 0.00015762952448545068, + "loss": 1.2289, + "step": 599 + }, + { + "epoch": 0.85, + "grad_norm": 0.5760409832000732, + "learning_rate": 0.0001575585521646558, + "loss": 1.2426, + "step": 600 + }, + { + "epoch": 0.85, + "grad_norm": 0.591411828994751, + "learning_rate": 0.0001574875798438609, + "loss": 1.195, + "step": 601 + }, + { + "epoch": 0.85, + "grad_norm": 0.5461949706077576, + "learning_rate": 0.00015741660752306602, + "loss": 1.1627, + "step": 602 + }, + { + "epoch": 0.85, + "grad_norm": 0.5686529874801636, + "learning_rate": 0.00015734563520227113, + "loss": 1.1048, + "step": 603 + }, + { + "epoch": 0.86, + "grad_norm": 0.5683251023292542, + "learning_rate": 0.00015727466288147624, + "loss": 1.2594, + "step": 604 + }, + { + "epoch": 0.86, + "grad_norm": 0.5748125314712524, + "learning_rate": 0.00015720369056068133, + "loss": 1.151, + "step": 605 + }, + { + "epoch": 0.86, + "grad_norm": 0.5953657031059265, + "learning_rate": 0.00015713271823988644, + "loss": 1.2148, + "step": 606 + }, + { + "epoch": 0.86, + "grad_norm": 0.5915418863296509, + "learning_rate": 0.00015706174591909156, + "loss": 1.2249, + "step": 607 + }, + { + "epoch": 0.86, + "grad_norm": 0.5777379274368286, + "learning_rate": 0.00015699077359829667, + "loss": 1.18, + "step": 608 + }, + { + "epoch": 0.86, + "grad_norm": 0.592585563659668, + "learning_rate": 0.00015691980127750178, + "loss": 1.2306, + "step": 609 + }, + { + "epoch": 0.86, + "grad_norm": 0.5442766547203064, + "learning_rate": 0.0001568488289567069, + "loss": 1.1789, + "step": 610 + }, + { + "epoch": 0.87, + "grad_norm": 0.5644369721412659, + "learning_rate": 0.000156777856635912, + "loss": 1.2501, + "step": 611 + }, + { + "epoch": 0.87, + "grad_norm": 0.55912846326828, + "learning_rate": 0.00015670688431511712, + "loss": 1.2893, + "step": 612 + }, + { + "epoch": 0.87, + "grad_norm": 0.5613831877708435, + "learning_rate": 0.0001566359119943222, + "loss": 1.1141, + "step": 613 + }, + { + "epoch": 0.87, + "grad_norm": 0.5890555381774902, + "learning_rate": 0.00015656493967352732, + "loss": 1.2149, + "step": 614 + }, + { + "epoch": 0.87, + "grad_norm": 0.5675429105758667, + "learning_rate": 0.00015649396735273246, + "loss": 1.2001, + "step": 615 + }, + { + "epoch": 0.87, + "grad_norm": 0.5950176119804382, + "learning_rate": 0.00015642299503193757, + "loss": 1.2019, + "step": 616 + }, + { + "epoch": 0.87, + "grad_norm": 0.5831938982009888, + "learning_rate": 0.00015635202271114266, + "loss": 1.1673, + "step": 617 + }, + { + "epoch": 0.88, + "grad_norm": 0.5806068181991577, + "learning_rate": 0.00015628105039034777, + "loss": 1.2013, + "step": 618 + }, + { + "epoch": 0.88, + "grad_norm": 0.5464046001434326, + "learning_rate": 0.00015621007806955288, + "loss": 1.1557, + "step": 619 + }, + { + "epoch": 0.88, + "grad_norm": 0.6087239980697632, + "learning_rate": 0.000156139105748758, + "loss": 1.2024, + "step": 620 + }, + { + "epoch": 0.88, + "grad_norm": 0.544928252696991, + "learning_rate": 0.00015606813342796308, + "loss": 1.1968, + "step": 621 + }, + { + "epoch": 0.88, + "grad_norm": 0.5821595788002014, + "learning_rate": 0.00015599716110716822, + "loss": 1.3009, + "step": 622 + }, + { + "epoch": 0.88, + "grad_norm": 0.5546013116836548, + "learning_rate": 0.00015592618878637333, + "loss": 1.1127, + "step": 623 + }, + { + "epoch": 0.88, + "grad_norm": 0.5370335578918457, + "learning_rate": 0.00015585521646557844, + "loss": 1.1543, + "step": 624 + }, + { + "epoch": 0.89, + "grad_norm": 0.5727035999298096, + "learning_rate": 0.00015578424414478353, + "loss": 1.2239, + "step": 625 + }, + { + "epoch": 0.89, + "grad_norm": 0.5680972933769226, + "learning_rate": 0.00015571327182398864, + "loss": 1.2741, + "step": 626 + }, + { + "epoch": 0.89, + "grad_norm": 0.5887457728385925, + "learning_rate": 0.00015564229950319376, + "loss": 1.2175, + "step": 627 + }, + { + "epoch": 0.89, + "grad_norm": 0.5596421957015991, + "learning_rate": 0.00015557132718239887, + "loss": 1.199, + "step": 628 + }, + { + "epoch": 0.89, + "grad_norm": 0.5555490851402283, + "learning_rate": 0.00015550035486160398, + "loss": 1.125, + "step": 629 + }, + { + "epoch": 0.89, + "grad_norm": 0.5999779105186462, + "learning_rate": 0.0001554293825408091, + "loss": 1.2344, + "step": 630 + }, + { + "epoch": 0.89, + "grad_norm": 0.6120169162750244, + "learning_rate": 0.0001553584102200142, + "loss": 1.1822, + "step": 631 + }, + { + "epoch": 0.9, + "grad_norm": 0.5653102993965149, + "learning_rate": 0.00015528743789921932, + "loss": 1.2004, + "step": 632 + }, + { + "epoch": 0.9, + "grad_norm": 0.5853379964828491, + "learning_rate": 0.00015521646557842443, + "loss": 1.1797, + "step": 633 + }, + { + "epoch": 0.9, + "grad_norm": 0.563293993473053, + "learning_rate": 0.00015514549325762952, + "loss": 1.1991, + "step": 634 + }, + { + "epoch": 0.9, + "grad_norm": 0.5557974576950073, + "learning_rate": 0.00015507452093683463, + "loss": 1.1843, + "step": 635 + }, + { + "epoch": 0.9, + "grad_norm": 0.5982331037521362, + "learning_rate": 0.00015500354861603977, + "loss": 1.1827, + "step": 636 + }, + { + "epoch": 0.9, + "grad_norm": 0.5909957885742188, + "learning_rate": 0.00015493257629524486, + "loss": 1.1338, + "step": 637 + }, + { + "epoch": 0.9, + "grad_norm": 0.5773521661758423, + "learning_rate": 0.00015486160397444997, + "loss": 1.2313, + "step": 638 + }, + { + "epoch": 0.91, + "grad_norm": 0.5929623246192932, + "learning_rate": 0.00015479063165365508, + "loss": 1.144, + "step": 639 + }, + { + "epoch": 0.91, + "grad_norm": 0.5677060484886169, + "learning_rate": 0.0001547196593328602, + "loss": 1.1656, + "step": 640 + }, + { + "epoch": 0.91, + "grad_norm": 0.552845299243927, + "learning_rate": 0.0001546486870120653, + "loss": 1.1576, + "step": 641 + }, + { + "epoch": 0.91, + "grad_norm": 0.5725761651992798, + "learning_rate": 0.0001545777146912704, + "loss": 1.1562, + "step": 642 + }, + { + "epoch": 0.91, + "grad_norm": 0.5661845803260803, + "learning_rate": 0.00015450674237047553, + "loss": 1.1172, + "step": 643 + }, + { + "epoch": 0.91, + "grad_norm": 0.6051177382469177, + "learning_rate": 0.00015443577004968064, + "loss": 1.2199, + "step": 644 + }, + { + "epoch": 0.91, + "grad_norm": 0.575823187828064, + "learning_rate": 0.00015436479772888576, + "loss": 1.2077, + "step": 645 + }, + { + "epoch": 0.92, + "grad_norm": 0.5754451751708984, + "learning_rate": 0.00015429382540809084, + "loss": 1.204, + "step": 646 + }, + { + "epoch": 0.92, + "grad_norm": 0.5662161111831665, + "learning_rate": 0.00015422285308729596, + "loss": 1.2517, + "step": 647 + }, + { + "epoch": 0.92, + "grad_norm": 0.62320476770401, + "learning_rate": 0.00015415188076650107, + "loss": 1.2593, + "step": 648 + }, + { + "epoch": 0.92, + "grad_norm": 0.5987563729286194, + "learning_rate": 0.00015408090844570618, + "loss": 1.1732, + "step": 649 + }, + { + "epoch": 0.92, + "grad_norm": 0.5595415234565735, + "learning_rate": 0.0001540099361249113, + "loss": 1.2089, + "step": 650 + }, + { + "epoch": 0.92, + "grad_norm": 0.5797716379165649, + "learning_rate": 0.0001539389638041164, + "loss": 1.143, + "step": 651 + }, + { + "epoch": 0.92, + "grad_norm": 0.5579701662063599, + "learning_rate": 0.00015386799148332152, + "loss": 1.131, + "step": 652 + }, + { + "epoch": 0.93, + "grad_norm": 0.6035544276237488, + "learning_rate": 0.00015379701916252663, + "loss": 1.1589, + "step": 653 + }, + { + "epoch": 0.93, + "grad_norm": 0.6274803876876831, + "learning_rate": 0.00015372604684173172, + "loss": 1.2097, + "step": 654 + }, + { + "epoch": 0.93, + "grad_norm": 0.5816579461097717, + "learning_rate": 0.00015365507452093683, + "loss": 1.112, + "step": 655 + }, + { + "epoch": 0.93, + "grad_norm": 0.5723366737365723, + "learning_rate": 0.00015358410220014194, + "loss": 1.1616, + "step": 656 + }, + { + "epoch": 0.93, + "grad_norm": 0.5701184272766113, + "learning_rate": 0.00015351312987934708, + "loss": 1.1869, + "step": 657 + }, + { + "epoch": 0.93, + "grad_norm": 0.5675951838493347, + "learning_rate": 0.00015344215755855217, + "loss": 1.1766, + "step": 658 + }, + { + "epoch": 0.93, + "grad_norm": 0.5601312518119812, + "learning_rate": 0.00015337118523775728, + "loss": 1.1863, + "step": 659 + }, + { + "epoch": 0.94, + "grad_norm": 0.5662368535995483, + "learning_rate": 0.0001533002129169624, + "loss": 1.2104, + "step": 660 + }, + { + "epoch": 0.94, + "grad_norm": 0.5629364252090454, + "learning_rate": 0.0001532292405961675, + "loss": 1.172, + "step": 661 + }, + { + "epoch": 0.94, + "grad_norm": 0.5831137895584106, + "learning_rate": 0.00015315826827537262, + "loss": 1.1191, + "step": 662 + }, + { + "epoch": 0.94, + "grad_norm": 0.5520037412643433, + "learning_rate": 0.0001530872959545777, + "loss": 1.2139, + "step": 663 + }, + { + "epoch": 0.94, + "grad_norm": 0.5635483264923096, + "learning_rate": 0.00015301632363378282, + "loss": 1.2279, + "step": 664 + }, + { + "epoch": 0.94, + "grad_norm": 0.635055422782898, + "learning_rate": 0.00015294535131298796, + "loss": 1.3509, + "step": 665 + }, + { + "epoch": 0.94, + "grad_norm": 0.5712576508522034, + "learning_rate": 0.00015287437899219304, + "loss": 1.1376, + "step": 666 + }, + { + "epoch": 0.94, + "grad_norm": 0.6059345602989197, + "learning_rate": 0.00015280340667139816, + "loss": 1.1995, + "step": 667 + }, + { + "epoch": 0.95, + "grad_norm": 0.5608190298080444, + "learning_rate": 0.00015273243435060327, + "loss": 1.2018, + "step": 668 + }, + { + "epoch": 0.95, + "grad_norm": 0.583979606628418, + "learning_rate": 0.00015266146202980838, + "loss": 1.2649, + "step": 669 + }, + { + "epoch": 0.95, + "grad_norm": 0.5718328356742859, + "learning_rate": 0.0001525904897090135, + "loss": 1.2384, + "step": 670 + }, + { + "epoch": 0.95, + "grad_norm": 0.5428913235664368, + "learning_rate": 0.00015251951738821858, + "loss": 1.2453, + "step": 671 + }, + { + "epoch": 0.95, + "grad_norm": 0.5979950428009033, + "learning_rate": 0.00015244854506742372, + "loss": 1.191, + "step": 672 + }, + { + "epoch": 0.95, + "grad_norm": 0.5848691463470459, + "learning_rate": 0.00015237757274662883, + "loss": 1.2098, + "step": 673 + }, + { + "epoch": 0.95, + "grad_norm": 0.5947878360748291, + "learning_rate": 0.00015230660042583395, + "loss": 1.2174, + "step": 674 + }, + { + "epoch": 0.96, + "grad_norm": 0.5705249309539795, + "learning_rate": 0.00015223562810503903, + "loss": 1.1701, + "step": 675 + }, + { + "epoch": 0.96, + "grad_norm": 0.5978186726570129, + "learning_rate": 0.00015216465578424414, + "loss": 1.1468, + "step": 676 + }, + { + "epoch": 0.96, + "grad_norm": 0.5883394479751587, + "learning_rate": 0.00015209368346344926, + "loss": 1.1998, + "step": 677 + }, + { + "epoch": 0.96, + "grad_norm": 0.551814079284668, + "learning_rate": 0.00015202271114265437, + "loss": 1.1576, + "step": 678 + }, + { + "epoch": 0.96, + "grad_norm": 0.5914448499679565, + "learning_rate": 0.00015195173882185948, + "loss": 1.2328, + "step": 679 + }, + { + "epoch": 0.96, + "grad_norm": 0.6165048480033875, + "learning_rate": 0.0001518807665010646, + "loss": 1.203, + "step": 680 + }, + { + "epoch": 0.96, + "grad_norm": 0.5738925933837891, + "learning_rate": 0.0001518097941802697, + "loss": 1.1468, + "step": 681 + }, + { + "epoch": 0.97, + "grad_norm": 0.5782356262207031, + "learning_rate": 0.00015173882185947482, + "loss": 1.165, + "step": 682 + }, + { + "epoch": 0.97, + "grad_norm": 0.6173332333564758, + "learning_rate": 0.0001516678495386799, + "loss": 1.2598, + "step": 683 + }, + { + "epoch": 0.97, + "grad_norm": 0.5931529998779297, + "learning_rate": 0.00015159687721788502, + "loss": 1.1117, + "step": 684 + }, + { + "epoch": 0.97, + "grad_norm": 0.5708393454551697, + "learning_rate": 0.00015152590489709013, + "loss": 1.2371, + "step": 685 + }, + { + "epoch": 0.97, + "grad_norm": 0.5764403939247131, + "learning_rate": 0.00015145493257629527, + "loss": 1.1984, + "step": 686 + }, + { + "epoch": 0.97, + "grad_norm": 0.5749918818473816, + "learning_rate": 0.00015138396025550036, + "loss": 1.1347, + "step": 687 + }, + { + "epoch": 0.97, + "grad_norm": 0.5802225470542908, + "learning_rate": 0.00015131298793470547, + "loss": 1.2307, + "step": 688 + }, + { + "epoch": 0.98, + "grad_norm": 0.5560474991798401, + "learning_rate": 0.00015124201561391058, + "loss": 1.1978, + "step": 689 + }, + { + "epoch": 0.98, + "grad_norm": 0.5951694250106812, + "learning_rate": 0.0001511710432931157, + "loss": 1.2, + "step": 690 + }, + { + "epoch": 0.98, + "grad_norm": 0.5568058490753174, + "learning_rate": 0.0001511000709723208, + "loss": 1.154, + "step": 691 + }, + { + "epoch": 0.98, + "grad_norm": 0.5962051153182983, + "learning_rate": 0.0001510290986515259, + "loss": 1.1111, + "step": 692 + }, + { + "epoch": 0.98, + "grad_norm": 0.590822160243988, + "learning_rate": 0.00015095812633073103, + "loss": 1.2304, + "step": 693 + }, + { + "epoch": 0.98, + "grad_norm": 0.6002994775772095, + "learning_rate": 0.00015088715400993615, + "loss": 1.2463, + "step": 694 + }, + { + "epoch": 0.98, + "grad_norm": 0.5498103499412537, + "learning_rate": 0.00015081618168914126, + "loss": 1.1797, + "step": 695 + }, + { + "epoch": 0.99, + "grad_norm": 0.5912280678749084, + "learning_rate": 0.00015074520936834634, + "loss": 1.1483, + "step": 696 + }, + { + "epoch": 0.99, + "grad_norm": 0.5918639302253723, + "learning_rate": 0.00015067423704755146, + "loss": 1.2741, + "step": 697 + }, + { + "epoch": 0.99, + "grad_norm": 0.5741661190986633, + "learning_rate": 0.00015060326472675657, + "loss": 1.1968, + "step": 698 + }, + { + "epoch": 0.99, + "grad_norm": 0.5830884575843811, + "learning_rate": 0.00015053229240596168, + "loss": 1.1663, + "step": 699 + }, + { + "epoch": 0.99, + "grad_norm": 0.5797367095947266, + "learning_rate": 0.0001504613200851668, + "loss": 1.1406, + "step": 700 + }, + { + "epoch": 0.99, + "grad_norm": 0.5564558506011963, + "learning_rate": 0.0001503903477643719, + "loss": 1.1447, + "step": 701 + }, + { + "epoch": 0.99, + "grad_norm": 0.5836336612701416, + "learning_rate": 0.00015031937544357702, + "loss": 1.192, + "step": 702 + }, + { + "epoch": 1.0, + "grad_norm": 0.6179781556129456, + "learning_rate": 0.00015024840312278213, + "loss": 1.2181, + "step": 703 + }, + { + "epoch": 1.0, + "grad_norm": 0.6290362477302551, + "learning_rate": 0.00015017743080198722, + "loss": 1.234, + "step": 704 + }, + { + "epoch": 1.0, + "grad_norm": 0.6224949359893799, + "learning_rate": 0.00015010645848119233, + "loss": 1.2052, + "step": 705 + }, + { + "epoch": 1.0, + "grad_norm": 0.584284782409668, + "learning_rate": 0.00015003548616039744, + "loss": 1.198, + "step": 706 + }, + { + "epoch": 1.0, + "grad_norm": 0.5489341020584106, + "learning_rate": 0.00014996451383960258, + "loss": 0.9271, + "step": 707 + }, + { + "epoch": 1.0, + "grad_norm": 0.5513188242912292, + "learning_rate": 0.00014989354151880767, + "loss": 1.0042, + "step": 708 + }, + { + "epoch": 1.0, + "grad_norm": 0.5592027306556702, + "learning_rate": 0.00014982256919801278, + "loss": 0.9466, + "step": 709 + }, + { + "epoch": 1.01, + "grad_norm": 0.6773933172225952, + "learning_rate": 0.0001497515968772179, + "loss": 0.9967, + "step": 710 + }, + { + "epoch": 1.01, + "grad_norm": 0.7364052534103394, + "learning_rate": 0.000149680624556423, + "loss": 0.9311, + "step": 711 + }, + { + "epoch": 1.01, + "grad_norm": 0.7685378789901733, + "learning_rate": 0.0001496096522356281, + "loss": 1.0459, + "step": 712 + }, + { + "epoch": 1.01, + "grad_norm": 0.6515752673149109, + "learning_rate": 0.0001495386799148332, + "loss": 0.9924, + "step": 713 + }, + { + "epoch": 1.01, + "grad_norm": 0.5922237634658813, + "learning_rate": 0.00014946770759403835, + "loss": 0.9159, + "step": 714 + }, + { + "epoch": 1.01, + "grad_norm": 0.6064658761024475, + "learning_rate": 0.00014939673527324346, + "loss": 0.9521, + "step": 715 + }, + { + "epoch": 1.01, + "grad_norm": 0.6219831109046936, + "learning_rate": 0.00014932576295244854, + "loss": 1.0295, + "step": 716 + }, + { + "epoch": 1.02, + "grad_norm": 0.5930375456809998, + "learning_rate": 0.00014925479063165366, + "loss": 1.0015, + "step": 717 + }, + { + "epoch": 1.02, + "grad_norm": 0.5987579822540283, + "learning_rate": 0.00014918381831085877, + "loss": 0.937, + "step": 718 + }, + { + "epoch": 1.02, + "grad_norm": 0.6563482880592346, + "learning_rate": 0.00014911284599006388, + "loss": 0.9396, + "step": 719 + }, + { + "epoch": 1.02, + "grad_norm": 0.6364894509315491, + "learning_rate": 0.000149041873669269, + "loss": 0.9889, + "step": 720 + }, + { + "epoch": 1.02, + "grad_norm": 0.6609119772911072, + "learning_rate": 0.0001489709013484741, + "loss": 0.9447, + "step": 721 + }, + { + "epoch": 1.02, + "grad_norm": 0.6506882309913635, + "learning_rate": 0.00014889992902767922, + "loss": 0.957, + "step": 722 + }, + { + "epoch": 1.02, + "grad_norm": 0.7169485092163086, + "learning_rate": 0.00014882895670688433, + "loss": 1.0139, + "step": 723 + }, + { + "epoch": 1.03, + "grad_norm": 0.623009443283081, + "learning_rate": 0.00014875798438608945, + "loss": 0.9973, + "step": 724 + }, + { + "epoch": 1.03, + "grad_norm": 0.6281269788742065, + "learning_rate": 0.00014868701206529453, + "loss": 0.9378, + "step": 725 + }, + { + "epoch": 1.03, + "grad_norm": 0.6167576313018799, + "learning_rate": 0.00014861603974449964, + "loss": 1.0196, + "step": 726 + }, + { + "epoch": 1.03, + "grad_norm": 0.6171091198921204, + "learning_rate": 0.00014854506742370476, + "loss": 0.9586, + "step": 727 + }, + { + "epoch": 1.03, + "grad_norm": 0.6009536385536194, + "learning_rate": 0.00014847409510290987, + "loss": 0.9412, + "step": 728 + }, + { + "epoch": 1.03, + "grad_norm": 0.6541954278945923, + "learning_rate": 0.00014840312278211498, + "loss": 0.9836, + "step": 729 + }, + { + "epoch": 1.03, + "grad_norm": 0.6337497234344482, + "learning_rate": 0.0001483321504613201, + "loss": 0.9975, + "step": 730 + }, + { + "epoch": 1.04, + "grad_norm": 0.625019907951355, + "learning_rate": 0.0001482611781405252, + "loss": 0.9526, + "step": 731 + }, + { + "epoch": 1.04, + "grad_norm": 0.6225535273551941, + "learning_rate": 0.00014819020581973032, + "loss": 1.0116, + "step": 732 + }, + { + "epoch": 1.04, + "grad_norm": 0.6529517769813538, + "learning_rate": 0.0001481192334989354, + "loss": 1.0537, + "step": 733 + }, + { + "epoch": 1.04, + "grad_norm": 0.6694484949111938, + "learning_rate": 0.00014804826117814052, + "loss": 0.9945, + "step": 734 + }, + { + "epoch": 1.04, + "grad_norm": 0.6434985995292664, + "learning_rate": 0.00014797728885734566, + "loss": 1.0104, + "step": 735 + }, + { + "epoch": 1.04, + "grad_norm": 0.643535852432251, + "learning_rate": 0.00014790631653655077, + "loss": 0.9848, + "step": 736 + }, + { + "epoch": 1.04, + "grad_norm": 0.6169139742851257, + "learning_rate": 0.00014783534421575586, + "loss": 0.8907, + "step": 737 + }, + { + "epoch": 1.05, + "grad_norm": 0.6531071662902832, + "learning_rate": 0.00014776437189496097, + "loss": 1.0544, + "step": 738 + }, + { + "epoch": 1.05, + "grad_norm": 0.6137780547142029, + "learning_rate": 0.00014769339957416608, + "loss": 0.919, + "step": 739 + }, + { + "epoch": 1.05, + "grad_norm": 0.685459554195404, + "learning_rate": 0.0001476224272533712, + "loss": 1.0618, + "step": 740 + }, + { + "epoch": 1.05, + "grad_norm": 0.6708681583404541, + "learning_rate": 0.00014755145493257628, + "loss": 0.9946, + "step": 741 + }, + { + "epoch": 1.05, + "grad_norm": 0.6316698789596558, + "learning_rate": 0.00014748048261178142, + "loss": 0.9819, + "step": 742 + }, + { + "epoch": 1.05, + "grad_norm": 0.622658371925354, + "learning_rate": 0.00014740951029098653, + "loss": 0.9845, + "step": 743 + }, + { + "epoch": 1.05, + "grad_norm": 0.6192933917045593, + "learning_rate": 0.00014733853797019165, + "loss": 0.9678, + "step": 744 + }, + { + "epoch": 1.06, + "grad_norm": 0.651993453502655, + "learning_rate": 0.00014726756564939673, + "loss": 0.9554, + "step": 745 + }, + { + "epoch": 1.06, + "grad_norm": 0.6194689869880676, + "learning_rate": 0.00014719659332860184, + "loss": 0.9167, + "step": 746 + }, + { + "epoch": 1.06, + "grad_norm": 0.6849738955497742, + "learning_rate": 0.00014712562100780696, + "loss": 0.9528, + "step": 747 + }, + { + "epoch": 1.06, + "grad_norm": 0.6835150122642517, + "learning_rate": 0.00014705464868701207, + "loss": 0.9799, + "step": 748 + }, + { + "epoch": 1.06, + "grad_norm": 0.6851332783699036, + "learning_rate": 0.00014698367636621718, + "loss": 1.0472, + "step": 749 + }, + { + "epoch": 1.06, + "grad_norm": 0.6524817943572998, + "learning_rate": 0.0001469127040454223, + "loss": 0.9258, + "step": 750 + }, + { + "epoch": 1.06, + "grad_norm": 0.6759579181671143, + "learning_rate": 0.0001468417317246274, + "loss": 0.9545, + "step": 751 + }, + { + "epoch": 1.07, + "grad_norm": 0.6385304927825928, + "learning_rate": 0.00014677075940383252, + "loss": 0.9751, + "step": 752 + }, + { + "epoch": 1.07, + "grad_norm": 0.6409848928451538, + "learning_rate": 0.00014669978708303763, + "loss": 0.9349, + "step": 753 + }, + { + "epoch": 1.07, + "grad_norm": 0.6459067463874817, + "learning_rate": 0.00014662881476224272, + "loss": 1.0341, + "step": 754 + }, + { + "epoch": 1.07, + "grad_norm": 0.6660894155502319, + "learning_rate": 0.00014655784244144783, + "loss": 1.0151, + "step": 755 + }, + { + "epoch": 1.07, + "grad_norm": 0.6208553910255432, + "learning_rate": 0.00014648687012065294, + "loss": 0.9547, + "step": 756 + }, + { + "epoch": 1.07, + "grad_norm": 0.6216368675231934, + "learning_rate": 0.00014641589779985806, + "loss": 1.0178, + "step": 757 + }, + { + "epoch": 1.07, + "grad_norm": 0.6845688819885254, + "learning_rate": 0.00014634492547906317, + "loss": 0.9976, + "step": 758 + }, + { + "epoch": 1.08, + "grad_norm": 0.6555722951889038, + "learning_rate": 0.00014627395315826828, + "loss": 0.9684, + "step": 759 + }, + { + "epoch": 1.08, + "grad_norm": 0.6671058535575867, + "learning_rate": 0.0001462029808374734, + "loss": 0.9691, + "step": 760 + }, + { + "epoch": 1.08, + "grad_norm": 0.6752671003341675, + "learning_rate": 0.0001461320085166785, + "loss": 0.9492, + "step": 761 + }, + { + "epoch": 1.08, + "grad_norm": 0.7133360505104065, + "learning_rate": 0.0001460610361958836, + "loss": 0.9867, + "step": 762 + }, + { + "epoch": 1.08, + "grad_norm": 0.6610892415046692, + "learning_rate": 0.0001459900638750887, + "loss": 0.9809, + "step": 763 + }, + { + "epoch": 1.08, + "grad_norm": 0.6392022371292114, + "learning_rate": 0.00014591909155429385, + "loss": 0.9485, + "step": 764 + }, + { + "epoch": 1.08, + "grad_norm": 0.6533021330833435, + "learning_rate": 0.00014584811923349896, + "loss": 1.0081, + "step": 765 + }, + { + "epoch": 1.09, + "grad_norm": 0.6720760464668274, + "learning_rate": 0.00014577714691270404, + "loss": 0.9421, + "step": 766 + }, + { + "epoch": 1.09, + "grad_norm": 0.6587719321250916, + "learning_rate": 0.00014570617459190916, + "loss": 0.953, + "step": 767 + }, + { + "epoch": 1.09, + "grad_norm": 0.6704784631729126, + "learning_rate": 0.00014563520227111427, + "loss": 0.9633, + "step": 768 + }, + { + "epoch": 1.09, + "grad_norm": 0.6440714597702026, + "learning_rate": 0.00014556422995031938, + "loss": 0.9655, + "step": 769 + }, + { + "epoch": 1.09, + "grad_norm": 0.6508157849311829, + "learning_rate": 0.00014549325762952447, + "loss": 0.9552, + "step": 770 + }, + { + "epoch": 1.09, + "grad_norm": 0.6560282707214355, + "learning_rate": 0.0001454222853087296, + "loss": 1.0196, + "step": 771 + }, + { + "epoch": 1.09, + "grad_norm": 0.6468494534492493, + "learning_rate": 0.00014535131298793472, + "loss": 0.9734, + "step": 772 + }, + { + "epoch": 1.1, + "grad_norm": 0.6644648313522339, + "learning_rate": 0.00014528034066713983, + "loss": 1.011, + "step": 773 + }, + { + "epoch": 1.1, + "grad_norm": 0.6273561120033264, + "learning_rate": 0.00014520936834634492, + "loss": 0.9456, + "step": 774 + }, + { + "epoch": 1.1, + "grad_norm": 0.6624634265899658, + "learning_rate": 0.00014513839602555003, + "loss": 1.0313, + "step": 775 + }, + { + "epoch": 1.1, + "grad_norm": 0.6488678455352783, + "learning_rate": 0.00014506742370475515, + "loss": 0.9081, + "step": 776 + }, + { + "epoch": 1.1, + "grad_norm": 0.6563031077384949, + "learning_rate": 0.00014499645138396026, + "loss": 0.9934, + "step": 777 + }, + { + "epoch": 1.1, + "grad_norm": 0.6557429432868958, + "learning_rate": 0.00014492547906316537, + "loss": 0.9944, + "step": 778 + }, + { + "epoch": 1.1, + "grad_norm": 0.6796723008155823, + "learning_rate": 0.00014485450674237048, + "loss": 0.9943, + "step": 779 + }, + { + "epoch": 1.11, + "grad_norm": 0.6730267405509949, + "learning_rate": 0.0001447835344215756, + "loss": 0.974, + "step": 780 + }, + { + "epoch": 1.11, + "grad_norm": 0.670569658279419, + "learning_rate": 0.0001447125621007807, + "loss": 0.9909, + "step": 781 + }, + { + "epoch": 1.11, + "grad_norm": 0.6504651308059692, + "learning_rate": 0.00014464158977998582, + "loss": 1.0146, + "step": 782 + }, + { + "epoch": 1.11, + "grad_norm": 0.6637928485870361, + "learning_rate": 0.0001445706174591909, + "loss": 0.9802, + "step": 783 + }, + { + "epoch": 1.11, + "grad_norm": 0.6541115045547485, + "learning_rate": 0.00014449964513839602, + "loss": 1.017, + "step": 784 + }, + { + "epoch": 1.11, + "grad_norm": 0.6643988490104675, + "learning_rate": 0.00014442867281760116, + "loss": 0.9983, + "step": 785 + }, + { + "epoch": 1.11, + "grad_norm": 0.6713914275169373, + "learning_rate": 0.00014435770049680625, + "loss": 0.9617, + "step": 786 + }, + { + "epoch": 1.11, + "grad_norm": 0.6338568329811096, + "learning_rate": 0.00014428672817601136, + "loss": 0.8769, + "step": 787 + }, + { + "epoch": 1.12, + "grad_norm": 0.6811724305152893, + "learning_rate": 0.00014421575585521647, + "loss": 1.0026, + "step": 788 + }, + { + "epoch": 1.12, + "grad_norm": 0.7284192442893982, + "learning_rate": 0.00014414478353442158, + "loss": 0.9643, + "step": 789 + }, + { + "epoch": 1.12, + "grad_norm": 0.6587553024291992, + "learning_rate": 0.0001440738112136267, + "loss": 0.9988, + "step": 790 + }, + { + "epoch": 1.12, + "grad_norm": 0.6484501957893372, + "learning_rate": 0.00014400283889283178, + "loss": 0.9761, + "step": 791 + }, + { + "epoch": 1.12, + "grad_norm": 0.6753117442131042, + "learning_rate": 0.00014393186657203692, + "loss": 1.0066, + "step": 792 + }, + { + "epoch": 1.12, + "grad_norm": 0.6668440699577332, + "learning_rate": 0.00014386089425124203, + "loss": 0.9439, + "step": 793 + }, + { + "epoch": 1.12, + "grad_norm": 0.6919518709182739, + "learning_rate": 0.00014378992193044715, + "loss": 0.9829, + "step": 794 + }, + { + "epoch": 1.13, + "grad_norm": 0.6882046461105347, + "learning_rate": 0.00014371894960965223, + "loss": 1.0086, + "step": 795 + }, + { + "epoch": 1.13, + "grad_norm": 0.641126811504364, + "learning_rate": 0.00014364797728885735, + "loss": 0.9792, + "step": 796 + }, + { + "epoch": 1.13, + "grad_norm": 0.6557233333587646, + "learning_rate": 0.00014357700496806246, + "loss": 0.8754, + "step": 797 + }, + { + "epoch": 1.13, + "grad_norm": 0.6546401381492615, + "learning_rate": 0.00014350603264726757, + "loss": 0.9407, + "step": 798 + }, + { + "epoch": 1.13, + "grad_norm": 0.6610774397850037, + "learning_rate": 0.00014343506032647268, + "loss": 1.0165, + "step": 799 + }, + { + "epoch": 1.13, + "grad_norm": 0.692677915096283, + "learning_rate": 0.0001433640880056778, + "loss": 0.931, + "step": 800 + }, + { + "epoch": 1.13, + "grad_norm": 0.6578258872032166, + "learning_rate": 0.0001432931156848829, + "loss": 0.9976, + "step": 801 + }, + { + "epoch": 1.14, + "grad_norm": 0.6596624851226807, + "learning_rate": 0.00014322214336408802, + "loss": 0.9312, + "step": 802 + }, + { + "epoch": 1.14, + "grad_norm": 0.6386009454727173, + "learning_rate": 0.0001431511710432931, + "loss": 0.992, + "step": 803 + }, + { + "epoch": 1.14, + "grad_norm": 0.6921107769012451, + "learning_rate": 0.00014308019872249822, + "loss": 0.9981, + "step": 804 + }, + { + "epoch": 1.14, + "grad_norm": 0.6416789293289185, + "learning_rate": 0.00014300922640170333, + "loss": 1.0192, + "step": 805 + }, + { + "epoch": 1.14, + "grad_norm": 0.6847473382949829, + "learning_rate": 0.00014293825408090847, + "loss": 0.945, + "step": 806 + }, + { + "epoch": 1.14, + "grad_norm": 0.6717972755432129, + "learning_rate": 0.00014286728176011356, + "loss": 0.9767, + "step": 807 + }, + { + "epoch": 1.14, + "grad_norm": 0.6813983917236328, + "learning_rate": 0.00014279630943931867, + "loss": 0.9056, + "step": 808 + }, + { + "epoch": 1.15, + "grad_norm": 0.6662610769271851, + "learning_rate": 0.00014272533711852378, + "loss": 1.1045, + "step": 809 + }, + { + "epoch": 1.15, + "grad_norm": 0.6779379844665527, + "learning_rate": 0.0001426543647977289, + "loss": 0.9158, + "step": 810 + }, + { + "epoch": 1.15, + "grad_norm": 0.6368980407714844, + "learning_rate": 0.000142583392476934, + "loss": 0.8638, + "step": 811 + }, + { + "epoch": 1.15, + "grad_norm": 0.648033857345581, + "learning_rate": 0.0001425124201561391, + "loss": 1.0107, + "step": 812 + }, + { + "epoch": 1.15, + "grad_norm": 0.6696658134460449, + "learning_rate": 0.00014244144783534423, + "loss": 0.9926, + "step": 813 + }, + { + "epoch": 1.15, + "grad_norm": 0.6661670804023743, + "learning_rate": 0.00014237047551454935, + "loss": 0.9805, + "step": 814 + }, + { + "epoch": 1.15, + "grad_norm": 0.6772279739379883, + "learning_rate": 0.00014229950319375443, + "loss": 0.9443, + "step": 815 + }, + { + "epoch": 1.16, + "grad_norm": 0.7234826683998108, + "learning_rate": 0.00014222853087295955, + "loss": 1.0605, + "step": 816 + }, + { + "epoch": 1.16, + "grad_norm": 0.6951813101768494, + "learning_rate": 0.00014215755855216466, + "loss": 1.0043, + "step": 817 + }, + { + "epoch": 1.16, + "grad_norm": 0.6815015077590942, + "learning_rate": 0.00014208658623136977, + "loss": 0.9496, + "step": 818 + }, + { + "epoch": 1.16, + "grad_norm": 0.6754716634750366, + "learning_rate": 0.00014201561391057488, + "loss": 0.954, + "step": 819 + }, + { + "epoch": 1.16, + "grad_norm": 0.6836742758750916, + "learning_rate": 0.00014194464158978, + "loss": 0.9787, + "step": 820 + }, + { + "epoch": 1.16, + "grad_norm": 0.6898475885391235, + "learning_rate": 0.0001418736692689851, + "loss": 1.0429, + "step": 821 + }, + { + "epoch": 1.16, + "grad_norm": 0.6403341889381409, + "learning_rate": 0.00014180269694819022, + "loss": 0.9681, + "step": 822 + }, + { + "epoch": 1.17, + "grad_norm": 0.6508347392082214, + "learning_rate": 0.00014173172462739533, + "loss": 1.0251, + "step": 823 + }, + { + "epoch": 1.17, + "grad_norm": 0.6511325836181641, + "learning_rate": 0.00014166075230660042, + "loss": 0.934, + "step": 824 + }, + { + "epoch": 1.17, + "grad_norm": 0.6893059611320496, + "learning_rate": 0.00014158977998580553, + "loss": 0.9481, + "step": 825 + }, + { + "epoch": 1.17, + "grad_norm": 0.7065815329551697, + "learning_rate": 0.00014151880766501065, + "loss": 0.9531, + "step": 826 + }, + { + "epoch": 1.17, + "grad_norm": 0.6699268221855164, + "learning_rate": 0.00014144783534421579, + "loss": 0.9593, + "step": 827 + }, + { + "epoch": 1.17, + "grad_norm": 0.691835343837738, + "learning_rate": 0.00014137686302342087, + "loss": 1.0152, + "step": 828 + }, + { + "epoch": 1.17, + "grad_norm": 0.6948768496513367, + "learning_rate": 0.00014130589070262598, + "loss": 0.9809, + "step": 829 + }, + { + "epoch": 1.18, + "grad_norm": 0.685308039188385, + "learning_rate": 0.0001412349183818311, + "loss": 0.9709, + "step": 830 + }, + { + "epoch": 1.18, + "grad_norm": 0.7141802310943604, + "learning_rate": 0.0001411639460610362, + "loss": 1.0286, + "step": 831 + }, + { + "epoch": 1.18, + "grad_norm": 0.6938399076461792, + "learning_rate": 0.0001410929737402413, + "loss": 1.0431, + "step": 832 + }, + { + "epoch": 1.18, + "grad_norm": 0.6528292894363403, + "learning_rate": 0.0001410220014194464, + "loss": 0.9173, + "step": 833 + }, + { + "epoch": 1.18, + "grad_norm": 0.675507664680481, + "learning_rate": 0.00014095102909865155, + "loss": 0.958, + "step": 834 + }, + { + "epoch": 1.18, + "grad_norm": 0.668474555015564, + "learning_rate": 0.00014088005677785666, + "loss": 1.0094, + "step": 835 + }, + { + "epoch": 1.18, + "grad_norm": 0.6946351528167725, + "learning_rate": 0.00014080908445706175, + "loss": 0.986, + "step": 836 + }, + { + "epoch": 1.19, + "grad_norm": 0.701863706111908, + "learning_rate": 0.00014073811213626686, + "loss": 0.9987, + "step": 837 + }, + { + "epoch": 1.19, + "grad_norm": 0.722443163394928, + "learning_rate": 0.00014066713981547197, + "loss": 0.9995, + "step": 838 + }, + { + "epoch": 1.19, + "grad_norm": 0.675977885723114, + "learning_rate": 0.00014059616749467708, + "loss": 0.9929, + "step": 839 + }, + { + "epoch": 1.19, + "grad_norm": 0.7431498765945435, + "learning_rate": 0.0001405251951738822, + "loss": 1.0413, + "step": 840 + }, + { + "epoch": 1.19, + "grad_norm": 0.6718546152114868, + "learning_rate": 0.00014045422285308728, + "loss": 0.9265, + "step": 841 + }, + { + "epoch": 1.19, + "grad_norm": 0.6670490503311157, + "learning_rate": 0.00014038325053229242, + "loss": 0.9314, + "step": 842 + }, + { + "epoch": 1.19, + "grad_norm": 0.6900096535682678, + "learning_rate": 0.00014031227821149754, + "loss": 1.0211, + "step": 843 + }, + { + "epoch": 1.2, + "grad_norm": 0.6813675761222839, + "learning_rate": 0.00014024130589070265, + "loss": 1.0462, + "step": 844 + }, + { + "epoch": 1.2, + "grad_norm": 0.6931719183921814, + "learning_rate": 0.00014017033356990773, + "loss": 0.9741, + "step": 845 + }, + { + "epoch": 1.2, + "grad_norm": 0.683791995048523, + "learning_rate": 0.00014009936124911285, + "loss": 1.054, + "step": 846 + }, + { + "epoch": 1.2, + "grad_norm": 0.7232967615127563, + "learning_rate": 0.00014002838892831796, + "loss": 0.9365, + "step": 847 + }, + { + "epoch": 1.2, + "grad_norm": 0.6782677173614502, + "learning_rate": 0.00013995741660752307, + "loss": 0.9311, + "step": 848 + }, + { + "epoch": 1.2, + "grad_norm": 0.6695821285247803, + "learning_rate": 0.00013988644428672818, + "loss": 0.993, + "step": 849 + }, + { + "epoch": 1.2, + "grad_norm": 0.6955466866493225, + "learning_rate": 0.0001398154719659333, + "loss": 0.985, + "step": 850 + }, + { + "epoch": 1.21, + "grad_norm": 0.692164421081543, + "learning_rate": 0.0001397444996451384, + "loss": 0.9836, + "step": 851 + }, + { + "epoch": 1.21, + "grad_norm": 0.6746982932090759, + "learning_rate": 0.00013967352732434352, + "loss": 0.9096, + "step": 852 + }, + { + "epoch": 1.21, + "grad_norm": 0.6445276141166687, + "learning_rate": 0.0001396025550035486, + "loss": 1.0032, + "step": 853 + }, + { + "epoch": 1.21, + "grad_norm": 0.7133185863494873, + "learning_rate": 0.00013953158268275372, + "loss": 1.009, + "step": 854 + }, + { + "epoch": 1.21, + "grad_norm": 0.6872855424880981, + "learning_rate": 0.00013946061036195883, + "loss": 1.0236, + "step": 855 + }, + { + "epoch": 1.21, + "grad_norm": 0.7020975351333618, + "learning_rate": 0.00013938963804116397, + "loss": 1.0142, + "step": 856 + }, + { + "epoch": 1.21, + "grad_norm": 0.663386881351471, + "learning_rate": 0.00013931866572036906, + "loss": 0.9976, + "step": 857 + }, + { + "epoch": 1.22, + "grad_norm": 0.7051934599876404, + "learning_rate": 0.00013924769339957417, + "loss": 1.0646, + "step": 858 + }, + { + "epoch": 1.22, + "grad_norm": 0.6661969423294067, + "learning_rate": 0.00013917672107877928, + "loss": 0.9287, + "step": 859 + }, + { + "epoch": 1.22, + "grad_norm": 0.6907512545585632, + "learning_rate": 0.0001391057487579844, + "loss": 1.0021, + "step": 860 + }, + { + "epoch": 1.22, + "grad_norm": 0.66982501745224, + "learning_rate": 0.00013903477643718948, + "loss": 0.9768, + "step": 861 + }, + { + "epoch": 1.22, + "grad_norm": 0.6967639923095703, + "learning_rate": 0.0001389638041163946, + "loss": 0.994, + "step": 862 + }, + { + "epoch": 1.22, + "grad_norm": 0.7178871035575867, + "learning_rate": 0.00013889283179559974, + "loss": 0.9517, + "step": 863 + }, + { + "epoch": 1.22, + "grad_norm": 0.6952171921730042, + "learning_rate": 0.00013882185947480485, + "loss": 1.0229, + "step": 864 + }, + { + "epoch": 1.23, + "grad_norm": 0.6783744096755981, + "learning_rate": 0.00013875088715400993, + "loss": 0.9575, + "step": 865 + }, + { + "epoch": 1.23, + "grad_norm": 0.6978974938392639, + "learning_rate": 0.00013867991483321505, + "loss": 0.9912, + "step": 866 + }, + { + "epoch": 1.23, + "grad_norm": 0.6688209772109985, + "learning_rate": 0.00013860894251242016, + "loss": 0.9916, + "step": 867 + }, + { + "epoch": 1.23, + "grad_norm": 0.6768879890441895, + "learning_rate": 0.00013853797019162527, + "loss": 1.0178, + "step": 868 + }, + { + "epoch": 1.23, + "grad_norm": 0.6849448084831238, + "learning_rate": 0.00013846699787083038, + "loss": 1.003, + "step": 869 + }, + { + "epoch": 1.23, + "grad_norm": 0.6396516561508179, + "learning_rate": 0.0001383960255500355, + "loss": 0.8896, + "step": 870 + }, + { + "epoch": 1.23, + "grad_norm": 0.6769018769264221, + "learning_rate": 0.0001383250532292406, + "loss": 1.0025, + "step": 871 + }, + { + "epoch": 1.24, + "grad_norm": 0.7078860998153687, + "learning_rate": 0.00013825408090844572, + "loss": 0.9968, + "step": 872 + }, + { + "epoch": 1.24, + "grad_norm": 0.6808391213417053, + "learning_rate": 0.00013818310858765084, + "loss": 0.9811, + "step": 873 + }, + { + "epoch": 1.24, + "grad_norm": 0.7080936431884766, + "learning_rate": 0.00013811213626685592, + "loss": 0.9996, + "step": 874 + }, + { + "epoch": 1.24, + "grad_norm": 0.7115461230278015, + "learning_rate": 0.00013804116394606103, + "loss": 0.9898, + "step": 875 + }, + { + "epoch": 1.24, + "grad_norm": 0.6735612154006958, + "learning_rate": 0.00013797019162526615, + "loss": 0.9852, + "step": 876 + }, + { + "epoch": 1.24, + "grad_norm": 0.7107511162757874, + "learning_rate": 0.00013789921930447126, + "loss": 1.0363, + "step": 877 + }, + { + "epoch": 1.24, + "grad_norm": 0.7112343311309814, + "learning_rate": 0.00013782824698367637, + "loss": 1.0529, + "step": 878 + }, + { + "epoch": 1.25, + "grad_norm": 0.6874762773513794, + "learning_rate": 0.00013775727466288148, + "loss": 0.9774, + "step": 879 + }, + { + "epoch": 1.25, + "grad_norm": 0.6808403134346008, + "learning_rate": 0.0001376863023420866, + "loss": 1.0055, + "step": 880 + }, + { + "epoch": 1.25, + "grad_norm": 0.700853705406189, + "learning_rate": 0.0001376153300212917, + "loss": 1.0177, + "step": 881 + }, + { + "epoch": 1.25, + "grad_norm": 0.7160459160804749, + "learning_rate": 0.0001375443577004968, + "loss": 0.9944, + "step": 882 + }, + { + "epoch": 1.25, + "grad_norm": 0.7002721428871155, + "learning_rate": 0.0001374733853797019, + "loss": 0.9271, + "step": 883 + }, + { + "epoch": 1.25, + "grad_norm": 0.7237516045570374, + "learning_rate": 0.00013740241305890705, + "loss": 0.9932, + "step": 884 + }, + { + "epoch": 1.25, + "grad_norm": 0.7104388475418091, + "learning_rate": 0.00013733144073811216, + "loss": 1.044, + "step": 885 + }, + { + "epoch": 1.26, + "grad_norm": 0.6789724826812744, + "learning_rate": 0.00013726046841731725, + "loss": 0.9781, + "step": 886 + }, + { + "epoch": 1.26, + "grad_norm": 0.6558204293251038, + "learning_rate": 0.00013718949609652236, + "loss": 0.9708, + "step": 887 + }, + { + "epoch": 1.26, + "grad_norm": 0.6882026791572571, + "learning_rate": 0.00013711852377572747, + "loss": 0.9466, + "step": 888 + }, + { + "epoch": 1.26, + "grad_norm": 0.6949423551559448, + "learning_rate": 0.00013704755145493258, + "loss": 1.0056, + "step": 889 + }, + { + "epoch": 1.26, + "grad_norm": 0.7023829221725464, + "learning_rate": 0.00013697657913413767, + "loss": 0.982, + "step": 890 + }, + { + "epoch": 1.26, + "grad_norm": 0.7513879537582397, + "learning_rate": 0.0001369056068133428, + "loss": 0.987, + "step": 891 + }, + { + "epoch": 1.26, + "grad_norm": 0.6762917041778564, + "learning_rate": 0.00013683463449254792, + "loss": 0.9202, + "step": 892 + }, + { + "epoch": 1.27, + "grad_norm": 0.7018841505050659, + "learning_rate": 0.00013676366217175304, + "loss": 1.0525, + "step": 893 + }, + { + "epoch": 1.27, + "grad_norm": 0.6917586922645569, + "learning_rate": 0.00013669268985095812, + "loss": 0.9392, + "step": 894 + }, + { + "epoch": 1.27, + "grad_norm": 0.7120482325553894, + "learning_rate": 0.00013662171753016323, + "loss": 1.0218, + "step": 895 + }, + { + "epoch": 1.27, + "grad_norm": 0.6614890098571777, + "learning_rate": 0.00013655074520936835, + "loss": 0.9586, + "step": 896 + }, + { + "epoch": 1.27, + "grad_norm": 0.713033139705658, + "learning_rate": 0.00013647977288857346, + "loss": 0.9867, + "step": 897 + }, + { + "epoch": 1.27, + "grad_norm": 0.6614014506340027, + "learning_rate": 0.00013640880056777857, + "loss": 0.9747, + "step": 898 + }, + { + "epoch": 1.27, + "grad_norm": 0.6631972193717957, + "learning_rate": 0.00013633782824698369, + "loss": 1.0244, + "step": 899 + }, + { + "epoch": 1.28, + "grad_norm": 0.6855646967887878, + "learning_rate": 0.0001362668559261888, + "loss": 1.0053, + "step": 900 + }, + { + "epoch": 1.28, + "grad_norm": 0.6771067976951599, + "learning_rate": 0.0001361958836053939, + "loss": 0.956, + "step": 901 + }, + { + "epoch": 1.28, + "grad_norm": 0.7038958668708801, + "learning_rate": 0.00013612491128459902, + "loss": 1.0221, + "step": 902 + }, + { + "epoch": 1.28, + "grad_norm": 0.7114011645317078, + "learning_rate": 0.0001360539389638041, + "loss": 1.0298, + "step": 903 + }, + { + "epoch": 1.28, + "grad_norm": 0.707399308681488, + "learning_rate": 0.00013598296664300922, + "loss": 0.9623, + "step": 904 + }, + { + "epoch": 1.28, + "grad_norm": 0.7122653722763062, + "learning_rate": 0.00013591199432221436, + "loss": 1.0042, + "step": 905 + }, + { + "epoch": 1.28, + "grad_norm": 0.699234664440155, + "learning_rate": 0.00013584102200141945, + "loss": 0.9806, + "step": 906 + }, + { + "epoch": 1.28, + "grad_norm": 0.7016271352767944, + "learning_rate": 0.00013577004968062456, + "loss": 0.9817, + "step": 907 + }, + { + "epoch": 1.29, + "grad_norm": 0.7013638019561768, + "learning_rate": 0.00013569907735982967, + "loss": 1.0045, + "step": 908 + }, + { + "epoch": 1.29, + "grad_norm": 0.7025014162063599, + "learning_rate": 0.00013562810503903479, + "loss": 1.0147, + "step": 909 + }, + { + "epoch": 1.29, + "grad_norm": 0.718924880027771, + "learning_rate": 0.0001355571327182399, + "loss": 1.0292, + "step": 910 + }, + { + "epoch": 1.29, + "grad_norm": 0.6805405020713806, + "learning_rate": 0.00013548616039744498, + "loss": 0.9774, + "step": 911 + }, + { + "epoch": 1.29, + "grad_norm": 0.6721410155296326, + "learning_rate": 0.00013541518807665012, + "loss": 0.9475, + "step": 912 + }, + { + "epoch": 1.29, + "grad_norm": 0.6628838181495667, + "learning_rate": 0.00013534421575585524, + "loss": 0.9408, + "step": 913 + }, + { + "epoch": 1.29, + "grad_norm": 0.7161340713500977, + "learning_rate": 0.00013527324343506035, + "loss": 0.9819, + "step": 914 + }, + { + "epoch": 1.3, + "grad_norm": 0.7012698650360107, + "learning_rate": 0.00013520227111426543, + "loss": 1.0074, + "step": 915 + }, + { + "epoch": 1.3, + "grad_norm": 0.6986689567565918, + "learning_rate": 0.00013513129879347055, + "loss": 0.9736, + "step": 916 + }, + { + "epoch": 1.3, + "grad_norm": 0.7003822922706604, + "learning_rate": 0.00013506032647267566, + "loss": 1.0369, + "step": 917 + }, + { + "epoch": 1.3, + "grad_norm": 0.723176896572113, + "learning_rate": 0.00013498935415188077, + "loss": 0.9936, + "step": 918 + }, + { + "epoch": 1.3, + "grad_norm": 0.7104766368865967, + "learning_rate": 0.00013491838183108589, + "loss": 0.9297, + "step": 919 + }, + { + "epoch": 1.3, + "grad_norm": 0.7126396894454956, + "learning_rate": 0.000134847409510291, + "loss": 1.0051, + "step": 920 + }, + { + "epoch": 1.3, + "grad_norm": 0.6854078769683838, + "learning_rate": 0.0001347764371894961, + "loss": 0.8957, + "step": 921 + }, + { + "epoch": 1.31, + "grad_norm": 0.7038775086402893, + "learning_rate": 0.00013470546486870122, + "loss": 1.0806, + "step": 922 + }, + { + "epoch": 1.31, + "grad_norm": 0.6905360817909241, + "learning_rate": 0.0001346344925479063, + "loss": 1.0533, + "step": 923 + }, + { + "epoch": 1.31, + "grad_norm": 0.6846379637718201, + "learning_rate": 0.00013456352022711142, + "loss": 0.9419, + "step": 924 + }, + { + "epoch": 1.31, + "grad_norm": 0.6838957667350769, + "learning_rate": 0.00013449254790631653, + "loss": 1.0041, + "step": 925 + }, + { + "epoch": 1.31, + "grad_norm": 0.6939088106155396, + "learning_rate": 0.00013442157558552167, + "loss": 1.0256, + "step": 926 + }, + { + "epoch": 1.31, + "grad_norm": 0.705324649810791, + "learning_rate": 0.00013435060326472676, + "loss": 1.0321, + "step": 927 + }, + { + "epoch": 1.31, + "grad_norm": 0.680023729801178, + "learning_rate": 0.00013427963094393187, + "loss": 0.9367, + "step": 928 + }, + { + "epoch": 1.32, + "grad_norm": 0.6934013962745667, + "learning_rate": 0.00013420865862313699, + "loss": 0.9717, + "step": 929 + }, + { + "epoch": 1.32, + "grad_norm": 0.6807674765586853, + "learning_rate": 0.0001341376863023421, + "loss": 0.9661, + "step": 930 + }, + { + "epoch": 1.32, + "grad_norm": 0.695918083190918, + "learning_rate": 0.0001340667139815472, + "loss": 0.9762, + "step": 931 + }, + { + "epoch": 1.32, + "grad_norm": 0.6872202754020691, + "learning_rate": 0.0001339957416607523, + "loss": 0.9487, + "step": 932 + }, + { + "epoch": 1.32, + "grad_norm": 0.7057836651802063, + "learning_rate": 0.0001339247693399574, + "loss": 0.9665, + "step": 933 + }, + { + "epoch": 1.32, + "grad_norm": 0.688558042049408, + "learning_rate": 0.00013385379701916255, + "loss": 0.9639, + "step": 934 + }, + { + "epoch": 1.32, + "grad_norm": 0.7189505100250244, + "learning_rate": 0.00013378282469836763, + "loss": 1.0014, + "step": 935 + }, + { + "epoch": 1.33, + "grad_norm": 0.6903408169746399, + "learning_rate": 0.00013371185237757275, + "loss": 1.0319, + "step": 936 + }, + { + "epoch": 1.33, + "grad_norm": 0.6907972097396851, + "learning_rate": 0.00013364088005677786, + "loss": 0.9705, + "step": 937 + }, + { + "epoch": 1.33, + "grad_norm": 0.7174811363220215, + "learning_rate": 0.00013356990773598297, + "loss": 0.9992, + "step": 938 + }, + { + "epoch": 1.33, + "grad_norm": 0.6912071108818054, + "learning_rate": 0.00013349893541518809, + "loss": 0.9241, + "step": 939 + }, + { + "epoch": 1.33, + "grad_norm": 0.7143810391426086, + "learning_rate": 0.00013342796309439317, + "loss": 1.0302, + "step": 940 + }, + { + "epoch": 1.33, + "grad_norm": 0.6805667281150818, + "learning_rate": 0.0001333569907735983, + "loss": 0.9711, + "step": 941 + }, + { + "epoch": 1.33, + "grad_norm": 0.6745904088020325, + "learning_rate": 0.00013328601845280342, + "loss": 0.9788, + "step": 942 + }, + { + "epoch": 1.34, + "grad_norm": 0.7004431486129761, + "learning_rate": 0.00013321504613200854, + "loss": 0.913, + "step": 943 + }, + { + "epoch": 1.34, + "grad_norm": 0.709544837474823, + "learning_rate": 0.00013314407381121362, + "loss": 1.0007, + "step": 944 + }, + { + "epoch": 1.34, + "grad_norm": 0.7254632115364075, + "learning_rate": 0.00013307310149041873, + "loss": 0.9366, + "step": 945 + }, + { + "epoch": 1.34, + "grad_norm": 0.7147793173789978, + "learning_rate": 0.00013300212916962385, + "loss": 0.9834, + "step": 946 + }, + { + "epoch": 1.34, + "grad_norm": 0.733207106590271, + "learning_rate": 0.00013293115684882896, + "loss": 1.0158, + "step": 947 + }, + { + "epoch": 1.34, + "grad_norm": 0.7627166509628296, + "learning_rate": 0.00013286018452803407, + "loss": 1.0266, + "step": 948 + }, + { + "epoch": 1.34, + "grad_norm": 0.7074815034866333, + "learning_rate": 0.00013278921220723919, + "loss": 1.012, + "step": 949 + }, + { + "epoch": 1.35, + "grad_norm": 0.7292148470878601, + "learning_rate": 0.0001327182398864443, + "loss": 1.0539, + "step": 950 + }, + { + "epoch": 1.35, + "grad_norm": 0.6858687400817871, + "learning_rate": 0.0001326472675656494, + "loss": 1.0065, + "step": 951 + }, + { + "epoch": 1.35, + "grad_norm": 0.6861886978149414, + "learning_rate": 0.0001325762952448545, + "loss": 0.9988, + "step": 952 + }, + { + "epoch": 1.35, + "grad_norm": 0.6918312311172485, + "learning_rate": 0.0001325053229240596, + "loss": 1.0447, + "step": 953 + }, + { + "epoch": 1.35, + "grad_norm": 0.6733079552650452, + "learning_rate": 0.00013243435060326472, + "loss": 0.9746, + "step": 954 + }, + { + "epoch": 1.35, + "grad_norm": 0.7106968760490417, + "learning_rate": 0.00013236337828246986, + "loss": 1.0219, + "step": 955 + }, + { + "epoch": 1.35, + "grad_norm": 0.7458065748214722, + "learning_rate": 0.00013229240596167495, + "loss": 0.9056, + "step": 956 + }, + { + "epoch": 1.36, + "grad_norm": 0.7352179884910583, + "learning_rate": 0.00013222143364088006, + "loss": 0.9863, + "step": 957 + }, + { + "epoch": 1.36, + "grad_norm": 0.6810528635978699, + "learning_rate": 0.00013215046132008517, + "loss": 0.9686, + "step": 958 + }, + { + "epoch": 1.36, + "grad_norm": 0.6850380301475525, + "learning_rate": 0.00013207948899929029, + "loss": 0.9124, + "step": 959 + }, + { + "epoch": 1.36, + "grad_norm": 0.7115997672080994, + "learning_rate": 0.0001320085166784954, + "loss": 0.9862, + "step": 960 + }, + { + "epoch": 1.36, + "grad_norm": 0.7444871664047241, + "learning_rate": 0.00013193754435770048, + "loss": 0.9958, + "step": 961 + }, + { + "epoch": 1.36, + "grad_norm": 0.7253167629241943, + "learning_rate": 0.00013186657203690562, + "loss": 0.9751, + "step": 962 + }, + { + "epoch": 1.36, + "grad_norm": 0.7287327647209167, + "learning_rate": 0.00013179559971611074, + "loss": 0.9621, + "step": 963 + }, + { + "epoch": 1.37, + "grad_norm": 0.7266460061073303, + "learning_rate": 0.00013172462739531582, + "loss": 1.0085, + "step": 964 + }, + { + "epoch": 1.37, + "grad_norm": 0.6825550198554993, + "learning_rate": 0.00013165365507452094, + "loss": 0.9696, + "step": 965 + }, + { + "epoch": 1.37, + "grad_norm": 0.7191211581230164, + "learning_rate": 0.00013158268275372605, + "loss": 1.0167, + "step": 966 + }, + { + "epoch": 1.37, + "grad_norm": 0.6877723336219788, + "learning_rate": 0.00013151171043293116, + "loss": 0.9224, + "step": 967 + }, + { + "epoch": 1.37, + "grad_norm": 0.6919003129005432, + "learning_rate": 0.00013144073811213627, + "loss": 0.9628, + "step": 968 + }, + { + "epoch": 1.37, + "grad_norm": 0.7358181476593018, + "learning_rate": 0.00013136976579134139, + "loss": 1.0684, + "step": 969 + }, + { + "epoch": 1.37, + "grad_norm": 0.7027356624603271, + "learning_rate": 0.0001312987934705465, + "loss": 1.0333, + "step": 970 + }, + { + "epoch": 1.38, + "grad_norm": 0.6980712413787842, + "learning_rate": 0.0001312278211497516, + "loss": 0.9823, + "step": 971 + }, + { + "epoch": 1.38, + "grad_norm": 0.7023440599441528, + "learning_rate": 0.00013115684882895672, + "loss": 0.9497, + "step": 972 + }, + { + "epoch": 1.38, + "grad_norm": 0.7038329839706421, + "learning_rate": 0.0001310858765081618, + "loss": 0.9915, + "step": 973 + }, + { + "epoch": 1.38, + "grad_norm": 0.7077039480209351, + "learning_rate": 0.00013101490418736692, + "loss": 0.947, + "step": 974 + }, + { + "epoch": 1.38, + "grad_norm": 0.7472418546676636, + "learning_rate": 0.00013094393186657204, + "loss": 0.9416, + "step": 975 + }, + { + "epoch": 1.38, + "grad_norm": 0.6974193453788757, + "learning_rate": 0.00013087295954577718, + "loss": 0.9788, + "step": 976 + }, + { + "epoch": 1.38, + "grad_norm": 0.6888452768325806, + "learning_rate": 0.00013080198722498226, + "loss": 0.9453, + "step": 977 + }, + { + "epoch": 1.39, + "grad_norm": 0.6868741512298584, + "learning_rate": 0.00013073101490418737, + "loss": 0.9096, + "step": 978 + }, + { + "epoch": 1.39, + "grad_norm": 0.701124370098114, + "learning_rate": 0.00013066004258339249, + "loss": 1.0178, + "step": 979 + }, + { + "epoch": 1.39, + "grad_norm": 0.7294360399246216, + "learning_rate": 0.0001305890702625976, + "loss": 1.0384, + "step": 980 + }, + { + "epoch": 1.39, + "grad_norm": 0.719120442867279, + "learning_rate": 0.00013051809794180268, + "loss": 0.9209, + "step": 981 + }, + { + "epoch": 1.39, + "grad_norm": 0.718369722366333, + "learning_rate": 0.0001304471256210078, + "loss": 0.9457, + "step": 982 + }, + { + "epoch": 1.39, + "grad_norm": 0.6928309202194214, + "learning_rate": 0.00013037615330021294, + "loss": 0.9093, + "step": 983 + }, + { + "epoch": 1.39, + "grad_norm": 0.7082747220993042, + "learning_rate": 0.00013030518097941805, + "loss": 0.9639, + "step": 984 + }, + { + "epoch": 1.4, + "grad_norm": 0.747394323348999, + "learning_rate": 0.00013023420865862314, + "loss": 1.0332, + "step": 985 + }, + { + "epoch": 1.4, + "grad_norm": 0.6965970993041992, + "learning_rate": 0.00013016323633782825, + "loss": 1.011, + "step": 986 + }, + { + "epoch": 1.4, + "grad_norm": 0.6957747340202332, + "learning_rate": 0.00013009226401703336, + "loss": 0.9917, + "step": 987 + }, + { + "epoch": 1.4, + "grad_norm": 0.7042578458786011, + "learning_rate": 0.00013002129169623847, + "loss": 0.9221, + "step": 988 + }, + { + "epoch": 1.4, + "grad_norm": 0.709457278251648, + "learning_rate": 0.0001299503193754436, + "loss": 0.9621, + "step": 989 + }, + { + "epoch": 1.4, + "grad_norm": 0.7135986685752869, + "learning_rate": 0.0001298793470546487, + "loss": 0.9894, + "step": 990 + }, + { + "epoch": 1.4, + "grad_norm": 0.7359340190887451, + "learning_rate": 0.0001298083747338538, + "loss": 0.9508, + "step": 991 + }, + { + "epoch": 1.41, + "grad_norm": 0.7456433176994324, + "learning_rate": 0.00012973740241305892, + "loss": 1.0153, + "step": 992 + }, + { + "epoch": 1.41, + "grad_norm": 0.7097339034080505, + "learning_rate": 0.00012966643009226404, + "loss": 0.9799, + "step": 993 + }, + { + "epoch": 1.41, + "grad_norm": 0.7416273951530457, + "learning_rate": 0.00012959545777146912, + "loss": 1.0445, + "step": 994 + }, + { + "epoch": 1.41, + "grad_norm": 0.7126497030258179, + "learning_rate": 0.00012952448545067424, + "loss": 0.9907, + "step": 995 + }, + { + "epoch": 1.41, + "grad_norm": 0.7022689580917358, + "learning_rate": 0.00012945351312987935, + "loss": 0.9576, + "step": 996 + }, + { + "epoch": 1.41, + "grad_norm": 0.728905439376831, + "learning_rate": 0.00012938254080908446, + "loss": 0.9537, + "step": 997 + }, + { + "epoch": 1.41, + "grad_norm": 0.7206951975822449, + "learning_rate": 0.00012931156848828957, + "loss": 1.0048, + "step": 998 + }, + { + "epoch": 1.42, + "grad_norm": 0.6895846724510193, + "learning_rate": 0.0001292405961674947, + "loss": 1.0182, + "step": 999 + }, + { + "epoch": 1.42, + "grad_norm": 0.7300769090652466, + "learning_rate": 0.0001291696238466998, + "loss": 1.0212, + "step": 1000 + }, + { + "epoch": 1.42, + "grad_norm": 0.7058583498001099, + "learning_rate": 0.0001290986515259049, + "loss": 0.9982, + "step": 1001 + }, + { + "epoch": 1.42, + "grad_norm": 0.681090235710144, + "learning_rate": 0.00012902767920511, + "loss": 0.9898, + "step": 1002 + }, + { + "epoch": 1.42, + "grad_norm": 0.6858307123184204, + "learning_rate": 0.0001289567068843151, + "loss": 0.961, + "step": 1003 + }, + { + "epoch": 1.42, + "grad_norm": 0.6954583525657654, + "learning_rate": 0.00012888573456352025, + "loss": 1.0346, + "step": 1004 + }, + { + "epoch": 1.42, + "grad_norm": 0.7096951007843018, + "learning_rate": 0.00012881476224272536, + "loss": 0.9599, + "step": 1005 + }, + { + "epoch": 1.43, + "grad_norm": 0.7118542194366455, + "learning_rate": 0.00012874378992193045, + "loss": 0.9677, + "step": 1006 + }, + { + "epoch": 1.43, + "grad_norm": 0.7197057604789734, + "learning_rate": 0.00012867281760113556, + "loss": 0.937, + "step": 1007 + }, + { + "epoch": 1.43, + "grad_norm": 0.720856785774231, + "learning_rate": 0.00012860184528034067, + "loss": 0.9606, + "step": 1008 + }, + { + "epoch": 1.43, + "grad_norm": 0.6895302534103394, + "learning_rate": 0.0001285308729595458, + "loss": 0.9052, + "step": 1009 + }, + { + "epoch": 1.43, + "grad_norm": 0.7161164879798889, + "learning_rate": 0.00012845990063875087, + "loss": 0.9784, + "step": 1010 + }, + { + "epoch": 1.43, + "grad_norm": 0.7340686321258545, + "learning_rate": 0.000128388928317956, + "loss": 0.9954, + "step": 1011 + }, + { + "epoch": 1.43, + "grad_norm": 0.7402980923652649, + "learning_rate": 0.00012831795599716112, + "loss": 0.9905, + "step": 1012 + }, + { + "epoch": 1.44, + "grad_norm": 0.6780891418457031, + "learning_rate": 0.00012824698367636624, + "loss": 0.8967, + "step": 1013 + }, + { + "epoch": 1.44, + "grad_norm": 0.6960120797157288, + "learning_rate": 0.00012817601135557132, + "loss": 0.8983, + "step": 1014 + }, + { + "epoch": 1.44, + "grad_norm": 0.7087661623954773, + "learning_rate": 0.00012810503903477644, + "loss": 0.927, + "step": 1015 + }, + { + "epoch": 1.44, + "grad_norm": 0.747851550579071, + "learning_rate": 0.00012803406671398155, + "loss": 1.0698, + "step": 1016 + }, + { + "epoch": 1.44, + "grad_norm": 0.7293078899383545, + "learning_rate": 0.00012796309439318666, + "loss": 1.007, + "step": 1017 + }, + { + "epoch": 1.44, + "grad_norm": 0.7039139270782471, + "learning_rate": 0.00012789212207239177, + "loss": 0.8827, + "step": 1018 + }, + { + "epoch": 1.44, + "grad_norm": 0.7060878276824951, + "learning_rate": 0.0001278211497515969, + "loss": 0.9078, + "step": 1019 + }, + { + "epoch": 1.45, + "grad_norm": 0.7231726050376892, + "learning_rate": 0.000127750177430802, + "loss": 0.9605, + "step": 1020 + }, + { + "epoch": 1.45, + "grad_norm": 0.7151123285293579, + "learning_rate": 0.0001276792051100071, + "loss": 0.9377, + "step": 1021 + }, + { + "epoch": 1.45, + "grad_norm": 0.7285674810409546, + "learning_rate": 0.00012760823278921223, + "loss": 0.959, + "step": 1022 + }, + { + "epoch": 1.45, + "grad_norm": 0.7382057309150696, + "learning_rate": 0.0001275372604684173, + "loss": 0.9733, + "step": 1023 + }, + { + "epoch": 1.45, + "grad_norm": 0.7037867307662964, + "learning_rate": 0.00012746628814762242, + "loss": 0.9261, + "step": 1024 + }, + { + "epoch": 1.45, + "grad_norm": 0.7247341275215149, + "learning_rate": 0.00012739531582682754, + "loss": 0.9765, + "step": 1025 + }, + { + "epoch": 1.45, + "grad_norm": 0.73041170835495, + "learning_rate": 0.00012732434350603265, + "loss": 0.956, + "step": 1026 + }, + { + "epoch": 1.45, + "grad_norm": 0.6923772096633911, + "learning_rate": 0.00012725337118523776, + "loss": 1.0133, + "step": 1027 + }, + { + "epoch": 1.46, + "grad_norm": 0.6898492574691772, + "learning_rate": 0.00012718239886444287, + "loss": 1.0216, + "step": 1028 + }, + { + "epoch": 1.46, + "grad_norm": 0.7031357288360596, + "learning_rate": 0.000127111426543648, + "loss": 0.9667, + "step": 1029 + }, + { + "epoch": 1.46, + "grad_norm": 0.7023702263832092, + "learning_rate": 0.0001270404542228531, + "loss": 0.9699, + "step": 1030 + }, + { + "epoch": 1.46, + "grad_norm": 0.6999973654747009, + "learning_rate": 0.00012696948190205819, + "loss": 0.9927, + "step": 1031 + }, + { + "epoch": 1.46, + "grad_norm": 0.7087770104408264, + "learning_rate": 0.0001268985095812633, + "loss": 0.8973, + "step": 1032 + }, + { + "epoch": 1.46, + "grad_norm": 0.7190529704093933, + "learning_rate": 0.00012682753726046844, + "loss": 0.9662, + "step": 1033 + }, + { + "epoch": 1.46, + "grad_norm": 0.7416104674339294, + "learning_rate": 0.00012675656493967355, + "loss": 1.0066, + "step": 1034 + }, + { + "epoch": 1.47, + "grad_norm": 0.7032634615898132, + "learning_rate": 0.00012668559261887864, + "loss": 0.9999, + "step": 1035 + }, + { + "epoch": 1.47, + "grad_norm": 0.7097875475883484, + "learning_rate": 0.00012661462029808375, + "loss": 0.9751, + "step": 1036 + }, + { + "epoch": 1.47, + "grad_norm": 0.6958321928977966, + "learning_rate": 0.00012654364797728886, + "loss": 0.9407, + "step": 1037 + }, + { + "epoch": 1.47, + "grad_norm": 0.7388033270835876, + "learning_rate": 0.00012647267565649397, + "loss": 1.0527, + "step": 1038 + }, + { + "epoch": 1.47, + "grad_norm": 0.6906083226203918, + "learning_rate": 0.00012640170333569906, + "loss": 0.9368, + "step": 1039 + }, + { + "epoch": 1.47, + "grad_norm": 0.7116028666496277, + "learning_rate": 0.0001263307310149042, + "loss": 0.9618, + "step": 1040 + }, + { + "epoch": 1.47, + "grad_norm": 0.7041985392570496, + "learning_rate": 0.0001262597586941093, + "loss": 0.9927, + "step": 1041 + }, + { + "epoch": 1.48, + "grad_norm": 0.7428408861160278, + "learning_rate": 0.00012618878637331443, + "loss": 1.0282, + "step": 1042 + }, + { + "epoch": 1.48, + "grad_norm": 0.6752524375915527, + "learning_rate": 0.0001261178140525195, + "loss": 0.927, + "step": 1043 + }, + { + "epoch": 1.48, + "grad_norm": 0.7071763277053833, + "learning_rate": 0.00012604684173172462, + "loss": 0.9534, + "step": 1044 + }, + { + "epoch": 1.48, + "grad_norm": 0.710394561290741, + "learning_rate": 0.00012597586941092974, + "loss": 0.9324, + "step": 1045 + }, + { + "epoch": 1.48, + "grad_norm": 0.7077054381370544, + "learning_rate": 0.00012590489709013485, + "loss": 0.9826, + "step": 1046 + }, + { + "epoch": 1.48, + "grad_norm": 0.7074711918830872, + "learning_rate": 0.00012583392476933996, + "loss": 0.9878, + "step": 1047 + }, + { + "epoch": 1.48, + "grad_norm": 0.6914960145950317, + "learning_rate": 0.00012576295244854507, + "loss": 1.0357, + "step": 1048 + }, + { + "epoch": 1.49, + "grad_norm": 0.6889827251434326, + "learning_rate": 0.0001256919801277502, + "loss": 0.982, + "step": 1049 + }, + { + "epoch": 1.49, + "grad_norm": 0.6742181777954102, + "learning_rate": 0.0001256210078069553, + "loss": 0.9513, + "step": 1050 + }, + { + "epoch": 1.49, + "grad_norm": 0.6830121874809265, + "learning_rate": 0.0001255500354861604, + "loss": 0.9961, + "step": 1051 + }, + { + "epoch": 1.49, + "grad_norm": 0.7067031264305115, + "learning_rate": 0.0001254790631653655, + "loss": 0.9623, + "step": 1052 + }, + { + "epoch": 1.49, + "grad_norm": 0.6789557933807373, + "learning_rate": 0.0001254080908445706, + "loss": 0.9556, + "step": 1053 + }, + { + "epoch": 1.49, + "grad_norm": 0.7340845465660095, + "learning_rate": 0.00012533711852377575, + "loss": 1.0122, + "step": 1054 + }, + { + "epoch": 1.49, + "grad_norm": 0.7131407260894775, + "learning_rate": 0.00012526614620298084, + "loss": 0.9998, + "step": 1055 + }, + { + "epoch": 1.5, + "grad_norm": 0.7129774689674377, + "learning_rate": 0.00012519517388218595, + "loss": 0.9348, + "step": 1056 + }, + { + "epoch": 1.5, + "grad_norm": 0.7226494550704956, + "learning_rate": 0.00012512420156139106, + "loss": 0.9792, + "step": 1057 + }, + { + "epoch": 1.5, + "grad_norm": 0.7202288508415222, + "learning_rate": 0.00012505322924059617, + "loss": 0.9546, + "step": 1058 + }, + { + "epoch": 1.5, + "grad_norm": 0.7222435474395752, + "learning_rate": 0.0001249822569198013, + "loss": 0.9995, + "step": 1059 + }, + { + "epoch": 1.5, + "grad_norm": 0.7435225248336792, + "learning_rate": 0.00012491128459900637, + "loss": 1.033, + "step": 1060 + }, + { + "epoch": 1.5, + "grad_norm": 0.699711799621582, + "learning_rate": 0.0001248403122782115, + "loss": 0.9639, + "step": 1061 + }, + { + "epoch": 1.5, + "grad_norm": 0.7038230895996094, + "learning_rate": 0.00012476933995741663, + "loss": 0.9198, + "step": 1062 + }, + { + "epoch": 1.51, + "grad_norm": 0.7003630995750427, + "learning_rate": 0.00012469836763662174, + "loss": 1.0208, + "step": 1063 + }, + { + "epoch": 1.51, + "grad_norm": 0.7104167938232422, + "learning_rate": 0.00012462739531582682, + "loss": 0.986, + "step": 1064 + }, + { + "epoch": 1.51, + "grad_norm": 0.7140862941741943, + "learning_rate": 0.00012455642299503194, + "loss": 0.9822, + "step": 1065 + }, + { + "epoch": 1.51, + "grad_norm": 0.7276419401168823, + "learning_rate": 0.00012448545067423705, + "loss": 1.0231, + "step": 1066 + }, + { + "epoch": 1.51, + "grad_norm": 0.7366431355476379, + "learning_rate": 0.00012441447835344216, + "loss": 1.0071, + "step": 1067 + }, + { + "epoch": 1.51, + "grad_norm": 0.7350658178329468, + "learning_rate": 0.00012434350603264727, + "loss": 0.9918, + "step": 1068 + }, + { + "epoch": 1.51, + "grad_norm": 0.6769629716873169, + "learning_rate": 0.0001242725337118524, + "loss": 0.9973, + "step": 1069 + }, + { + "epoch": 1.52, + "grad_norm": 0.7047297358512878, + "learning_rate": 0.0001242015613910575, + "loss": 1.0167, + "step": 1070 + }, + { + "epoch": 1.52, + "grad_norm": 0.6941127181053162, + "learning_rate": 0.0001241305890702626, + "loss": 0.9861, + "step": 1071 + }, + { + "epoch": 1.52, + "grad_norm": 0.727709949016571, + "learning_rate": 0.0001240596167494677, + "loss": 1.0325, + "step": 1072 + }, + { + "epoch": 1.52, + "grad_norm": 0.7129109501838684, + "learning_rate": 0.0001239886444286728, + "loss": 0.9249, + "step": 1073 + }, + { + "epoch": 1.52, + "grad_norm": 0.6976962089538574, + "learning_rate": 0.00012391767210787792, + "loss": 0.9472, + "step": 1074 + }, + { + "epoch": 1.52, + "grad_norm": 0.7473706603050232, + "learning_rate": 0.00012384669978708306, + "loss": 0.9843, + "step": 1075 + }, + { + "epoch": 1.52, + "grad_norm": 0.7451398968696594, + "learning_rate": 0.00012377572746628815, + "loss": 0.9926, + "step": 1076 + }, + { + "epoch": 1.53, + "grad_norm": 0.7221840023994446, + "learning_rate": 0.00012370475514549326, + "loss": 0.9513, + "step": 1077 + }, + { + "epoch": 1.53, + "grad_norm": 0.7023710012435913, + "learning_rate": 0.00012363378282469838, + "loss": 0.8927, + "step": 1078 + }, + { + "epoch": 1.53, + "grad_norm": 0.6784040331840515, + "learning_rate": 0.0001235628105039035, + "loss": 0.9059, + "step": 1079 + }, + { + "epoch": 1.53, + "grad_norm": 0.7393279671669006, + "learning_rate": 0.0001234918381831086, + "loss": 1.0369, + "step": 1080 + }, + { + "epoch": 1.53, + "grad_norm": 0.6987690329551697, + "learning_rate": 0.00012342086586231369, + "loss": 0.961, + "step": 1081 + }, + { + "epoch": 1.53, + "grad_norm": 0.7038789987564087, + "learning_rate": 0.00012334989354151883, + "loss": 1.0484, + "step": 1082 + }, + { + "epoch": 1.53, + "grad_norm": 0.684845507144928, + "learning_rate": 0.00012327892122072394, + "loss": 0.9604, + "step": 1083 + }, + { + "epoch": 1.54, + "grad_norm": 0.7157427072525024, + "learning_rate": 0.00012320794889992902, + "loss": 0.9702, + "step": 1084 + }, + { + "epoch": 1.54, + "grad_norm": 0.7225085496902466, + "learning_rate": 0.00012313697657913414, + "loss": 1.0421, + "step": 1085 + }, + { + "epoch": 1.54, + "grad_norm": 0.7261961698532104, + "learning_rate": 0.00012306600425833925, + "loss": 1.0224, + "step": 1086 + }, + { + "epoch": 1.54, + "grad_norm": 0.6956989765167236, + "learning_rate": 0.00012299503193754436, + "loss": 0.9708, + "step": 1087 + }, + { + "epoch": 1.54, + "grad_norm": 0.7316460609436035, + "learning_rate": 0.00012292405961674948, + "loss": 1.0543, + "step": 1088 + }, + { + "epoch": 1.54, + "grad_norm": 0.7196297645568848, + "learning_rate": 0.0001228530872959546, + "loss": 1.0021, + "step": 1089 + }, + { + "epoch": 1.54, + "grad_norm": 0.7039411664009094, + "learning_rate": 0.0001227821149751597, + "loss": 0.9563, + "step": 1090 + }, + { + "epoch": 1.55, + "grad_norm": 0.719147801399231, + "learning_rate": 0.0001227111426543648, + "loss": 1.0067, + "step": 1091 + }, + { + "epoch": 1.55, + "grad_norm": 0.6809403300285339, + "learning_rate": 0.00012264017033356993, + "loss": 0.995, + "step": 1092 + }, + { + "epoch": 1.55, + "grad_norm": 0.7004520297050476, + "learning_rate": 0.000122569198012775, + "loss": 0.9479, + "step": 1093 + }, + { + "epoch": 1.55, + "grad_norm": 0.7003827691078186, + "learning_rate": 0.00012249822569198012, + "loss": 0.9724, + "step": 1094 + }, + { + "epoch": 1.55, + "grad_norm": 0.7075307965278625, + "learning_rate": 0.00012242725337118524, + "loss": 0.9856, + "step": 1095 + }, + { + "epoch": 1.55, + "grad_norm": 0.723334789276123, + "learning_rate": 0.00012235628105039038, + "loss": 0.9768, + "step": 1096 + }, + { + "epoch": 1.55, + "grad_norm": 0.7285984754562378, + "learning_rate": 0.00012228530872959546, + "loss": 1.005, + "step": 1097 + }, + { + "epoch": 1.56, + "grad_norm": 0.7101818919181824, + "learning_rate": 0.00012221433640880058, + "loss": 0.9543, + "step": 1098 + }, + { + "epoch": 1.56, + "grad_norm": 0.749718427658081, + "learning_rate": 0.0001221433640880057, + "loss": 1.0076, + "step": 1099 + }, + { + "epoch": 1.56, + "grad_norm": 0.7114327549934387, + "learning_rate": 0.0001220723917672108, + "loss": 0.9289, + "step": 1100 + }, + { + "epoch": 1.56, + "grad_norm": 0.7335402965545654, + "learning_rate": 0.0001220014194464159, + "loss": 0.9761, + "step": 1101 + }, + { + "epoch": 1.56, + "grad_norm": 0.7315895557403564, + "learning_rate": 0.000121930447125621, + "loss": 0.9498, + "step": 1102 + }, + { + "epoch": 1.56, + "grad_norm": 0.7099215984344482, + "learning_rate": 0.00012185947480482611, + "loss": 0.9575, + "step": 1103 + }, + { + "epoch": 1.56, + "grad_norm": 0.7005743384361267, + "learning_rate": 0.00012178850248403124, + "loss": 0.9605, + "step": 1104 + }, + { + "epoch": 1.57, + "grad_norm": 0.7421797513961792, + "learning_rate": 0.00012171753016323635, + "loss": 1.067, + "step": 1105 + }, + { + "epoch": 1.57, + "grad_norm": 0.7173910737037659, + "learning_rate": 0.00012164655784244145, + "loss": 0.9843, + "step": 1106 + }, + { + "epoch": 1.57, + "grad_norm": 0.6898432374000549, + "learning_rate": 0.00012157558552164656, + "loss": 0.9735, + "step": 1107 + }, + { + "epoch": 1.57, + "grad_norm": 0.708389937877655, + "learning_rate": 0.00012150461320085168, + "loss": 0.9497, + "step": 1108 + }, + { + "epoch": 1.57, + "grad_norm": 0.7111474275588989, + "learning_rate": 0.00012143364088005677, + "loss": 0.8981, + "step": 1109 + }, + { + "epoch": 1.57, + "grad_norm": 0.6907044053077698, + "learning_rate": 0.00012136266855926189, + "loss": 0.9711, + "step": 1110 + }, + { + "epoch": 1.57, + "grad_norm": 0.744263231754303, + "learning_rate": 0.00012129169623846701, + "loss": 0.9874, + "step": 1111 + }, + { + "epoch": 1.58, + "grad_norm": 0.7199329733848572, + "learning_rate": 0.00012122072391767211, + "loss": 0.9704, + "step": 1112 + }, + { + "epoch": 1.58, + "grad_norm": 0.7198705077171326, + "learning_rate": 0.00012114975159687723, + "loss": 0.9508, + "step": 1113 + }, + { + "epoch": 1.58, + "grad_norm": 0.7411786913871765, + "learning_rate": 0.00012107877927608234, + "loss": 0.9998, + "step": 1114 + }, + { + "epoch": 1.58, + "grad_norm": 0.675391435623169, + "learning_rate": 0.00012100780695528744, + "loss": 0.9317, + "step": 1115 + }, + { + "epoch": 1.58, + "grad_norm": 0.6812769174575806, + "learning_rate": 0.00012093683463449255, + "loss": 0.889, + "step": 1116 + }, + { + "epoch": 1.58, + "grad_norm": 0.7100497484207153, + "learning_rate": 0.00012086586231369765, + "loss": 1.0161, + "step": 1117 + }, + { + "epoch": 1.58, + "grad_norm": 0.7073559761047363, + "learning_rate": 0.00012079488999290278, + "loss": 0.9373, + "step": 1118 + }, + { + "epoch": 1.59, + "grad_norm": 0.7181984186172485, + "learning_rate": 0.00012072391767210789, + "loss": 1.0138, + "step": 1119 + }, + { + "epoch": 1.59, + "grad_norm": 0.7441282272338867, + "learning_rate": 0.000120652945351313, + "loss": 1.0439, + "step": 1120 + }, + { + "epoch": 1.59, + "grad_norm": 0.7104730606079102, + "learning_rate": 0.0001205819730305181, + "loss": 1.0055, + "step": 1121 + }, + { + "epoch": 1.59, + "grad_norm": 0.7464049458503723, + "learning_rate": 0.00012051100070972321, + "loss": 1.011, + "step": 1122 + }, + { + "epoch": 1.59, + "grad_norm": 0.7502149939537048, + "learning_rate": 0.00012044002838892831, + "loss": 0.9707, + "step": 1123 + }, + { + "epoch": 1.59, + "grad_norm": 0.7351347804069519, + "learning_rate": 0.00012036905606813342, + "loss": 0.9797, + "step": 1124 + }, + { + "epoch": 1.59, + "grad_norm": 0.7235199809074402, + "learning_rate": 0.00012029808374733855, + "loss": 1.0525, + "step": 1125 + }, + { + "epoch": 1.6, + "grad_norm": 0.6959457993507385, + "learning_rate": 0.00012022711142654366, + "loss": 0.9818, + "step": 1126 + }, + { + "epoch": 1.6, + "grad_norm": 0.7070314288139343, + "learning_rate": 0.00012015613910574876, + "loss": 1.0983, + "step": 1127 + }, + { + "epoch": 1.6, + "grad_norm": 0.7202725410461426, + "learning_rate": 0.00012008516678495388, + "loss": 1.046, + "step": 1128 + }, + { + "epoch": 1.6, + "grad_norm": 0.6858893632888794, + "learning_rate": 0.00012001419446415898, + "loss": 0.8999, + "step": 1129 + }, + { + "epoch": 1.6, + "grad_norm": 0.7225475907325745, + "learning_rate": 0.00011994322214336409, + "loss": 1.0171, + "step": 1130 + }, + { + "epoch": 1.6, + "grad_norm": 0.7360539436340332, + "learning_rate": 0.00011987224982256919, + "loss": 1.047, + "step": 1131 + }, + { + "epoch": 1.6, + "grad_norm": 0.7139810919761658, + "learning_rate": 0.00011980127750177433, + "loss": 1.008, + "step": 1132 + }, + { + "epoch": 1.61, + "grad_norm": 0.7204037308692932, + "learning_rate": 0.00011973030518097943, + "loss": 0.9262, + "step": 1133 + }, + { + "epoch": 1.61, + "grad_norm": 0.7312289476394653, + "learning_rate": 0.00011965933286018454, + "loss": 1.0079, + "step": 1134 + }, + { + "epoch": 1.61, + "grad_norm": 0.7065761685371399, + "learning_rate": 0.00011958836053938964, + "loss": 0.9956, + "step": 1135 + }, + { + "epoch": 1.61, + "grad_norm": 0.743116557598114, + "learning_rate": 0.00011951738821859475, + "loss": 0.9679, + "step": 1136 + }, + { + "epoch": 1.61, + "grad_norm": 0.7406318783760071, + "learning_rate": 0.00011944641589779986, + "loss": 1.0024, + "step": 1137 + }, + { + "epoch": 1.61, + "grad_norm": 0.7344107031822205, + "learning_rate": 0.00011937544357700496, + "loss": 0.9899, + "step": 1138 + }, + { + "epoch": 1.61, + "grad_norm": 0.7228212356567383, + "learning_rate": 0.00011930447125621009, + "loss": 0.9902, + "step": 1139 + }, + { + "epoch": 1.62, + "grad_norm": 0.7286756634712219, + "learning_rate": 0.0001192334989354152, + "loss": 1.0239, + "step": 1140 + }, + { + "epoch": 1.62, + "grad_norm": 0.7067569494247437, + "learning_rate": 0.0001191625266146203, + "loss": 0.95, + "step": 1141 + }, + { + "epoch": 1.62, + "grad_norm": 0.7505934238433838, + "learning_rate": 0.00011909155429382541, + "loss": 1.0528, + "step": 1142 + }, + { + "epoch": 1.62, + "grad_norm": 0.6888457536697388, + "learning_rate": 0.00011902058197303053, + "loss": 0.9544, + "step": 1143 + }, + { + "epoch": 1.62, + "grad_norm": 0.6858482956886292, + "learning_rate": 0.00011894960965223563, + "loss": 0.9525, + "step": 1144 + }, + { + "epoch": 1.62, + "grad_norm": 0.722373902797699, + "learning_rate": 0.00011887863733144074, + "loss": 1.047, + "step": 1145 + }, + { + "epoch": 1.62, + "grad_norm": 0.7318529486656189, + "learning_rate": 0.00011880766501064586, + "loss": 0.9955, + "step": 1146 + }, + { + "epoch": 1.62, + "grad_norm": 0.7528226375579834, + "learning_rate": 0.00011873669268985096, + "loss": 0.926, + "step": 1147 + }, + { + "epoch": 1.63, + "grad_norm": 0.7202761173248291, + "learning_rate": 0.00011866572036905608, + "loss": 0.9099, + "step": 1148 + }, + { + "epoch": 1.63, + "grad_norm": 0.7594791054725647, + "learning_rate": 0.00011859474804826119, + "loss": 1.0122, + "step": 1149 + }, + { + "epoch": 1.63, + "grad_norm": 0.7222248315811157, + "learning_rate": 0.00011852377572746629, + "loss": 0.9161, + "step": 1150 + }, + { + "epoch": 1.63, + "grad_norm": 0.7424381971359253, + "learning_rate": 0.0001184528034066714, + "loss": 0.9357, + "step": 1151 + }, + { + "epoch": 1.63, + "grad_norm": 0.7474575638771057, + "learning_rate": 0.0001183818310858765, + "loss": 0.9426, + "step": 1152 + }, + { + "epoch": 1.63, + "grad_norm": 0.7351663112640381, + "learning_rate": 0.00011831085876508164, + "loss": 0.954, + "step": 1153 + }, + { + "epoch": 1.63, + "grad_norm": 0.6973652839660645, + "learning_rate": 0.00011823988644428674, + "loss": 0.9697, + "step": 1154 + }, + { + "epoch": 1.64, + "grad_norm": 0.7030205726623535, + "learning_rate": 0.00011816891412349185, + "loss": 0.9262, + "step": 1155 + }, + { + "epoch": 1.64, + "grad_norm": 0.6983229517936707, + "learning_rate": 0.00011809794180269695, + "loss": 0.9387, + "step": 1156 + }, + { + "epoch": 1.64, + "grad_norm": 0.7123252153396606, + "learning_rate": 0.00011802696948190206, + "loss": 1.0255, + "step": 1157 + }, + { + "epoch": 1.64, + "grad_norm": 0.7124939560890198, + "learning_rate": 0.00011795599716110716, + "loss": 0.953, + "step": 1158 + }, + { + "epoch": 1.64, + "grad_norm": 0.6996143460273743, + "learning_rate": 0.00011788502484031228, + "loss": 0.9785, + "step": 1159 + }, + { + "epoch": 1.64, + "grad_norm": 0.7493870854377747, + "learning_rate": 0.0001178140525195174, + "loss": 0.9201, + "step": 1160 + }, + { + "epoch": 1.64, + "grad_norm": 0.7479891777038574, + "learning_rate": 0.00011774308019872251, + "loss": 0.9566, + "step": 1161 + }, + { + "epoch": 1.65, + "grad_norm": 0.7288089394569397, + "learning_rate": 0.00011767210787792761, + "loss": 1.004, + "step": 1162 + }, + { + "epoch": 1.65, + "grad_norm": 0.7156316041946411, + "learning_rate": 0.00011760113555713273, + "loss": 0.9416, + "step": 1163 + }, + { + "epoch": 1.65, + "grad_norm": 0.7374414801597595, + "learning_rate": 0.00011753016323633783, + "loss": 1.0313, + "step": 1164 + }, + { + "epoch": 1.65, + "grad_norm": 0.6988320350646973, + "learning_rate": 0.00011745919091554294, + "loss": 0.9442, + "step": 1165 + }, + { + "epoch": 1.65, + "grad_norm": 0.7388788461685181, + "learning_rate": 0.00011738821859474805, + "loss": 1.0254, + "step": 1166 + }, + { + "epoch": 1.65, + "grad_norm": 0.6990705132484436, + "learning_rate": 0.00011731724627395318, + "loss": 0.9383, + "step": 1167 + }, + { + "epoch": 1.65, + "grad_norm": 0.698650598526001, + "learning_rate": 0.00011724627395315828, + "loss": 0.9462, + "step": 1168 + }, + { + "epoch": 1.66, + "grad_norm": 0.7219197154045105, + "learning_rate": 0.00011717530163236339, + "loss": 0.9926, + "step": 1169 + }, + { + "epoch": 1.66, + "grad_norm": 0.7224728465080261, + "learning_rate": 0.00011710432931156849, + "loss": 0.9425, + "step": 1170 + }, + { + "epoch": 1.66, + "grad_norm": 0.7238569259643555, + "learning_rate": 0.0001170333569907736, + "loss": 0.9901, + "step": 1171 + }, + { + "epoch": 1.66, + "grad_norm": 0.7193832993507385, + "learning_rate": 0.00011696238466997871, + "loss": 0.9147, + "step": 1172 + }, + { + "epoch": 1.66, + "grad_norm": 0.7369004487991333, + "learning_rate": 0.00011689141234918381, + "loss": 0.9768, + "step": 1173 + }, + { + "epoch": 1.66, + "grad_norm": 0.7380697131156921, + "learning_rate": 0.00011682044002838894, + "loss": 0.9593, + "step": 1174 + }, + { + "epoch": 1.66, + "grad_norm": 0.737091064453125, + "learning_rate": 0.00011674946770759405, + "loss": 1.022, + "step": 1175 + }, + { + "epoch": 1.67, + "grad_norm": 0.7183380722999573, + "learning_rate": 0.00011667849538679916, + "loss": 0.9548, + "step": 1176 + }, + { + "epoch": 1.67, + "grad_norm": 0.7147498726844788, + "learning_rate": 0.00011660752306600426, + "loss": 0.9307, + "step": 1177 + }, + { + "epoch": 1.67, + "grad_norm": 0.7256461381912231, + "learning_rate": 0.00011653655074520938, + "loss": 0.9884, + "step": 1178 + }, + { + "epoch": 1.67, + "grad_norm": 0.701350212097168, + "learning_rate": 0.00011646557842441448, + "loss": 0.9209, + "step": 1179 + }, + { + "epoch": 1.67, + "grad_norm": 0.7127419710159302, + "learning_rate": 0.00011639460610361959, + "loss": 0.9475, + "step": 1180 + }, + { + "epoch": 1.67, + "grad_norm": 0.7424458265304565, + "learning_rate": 0.00011632363378282471, + "loss": 1.0199, + "step": 1181 + }, + { + "epoch": 1.67, + "grad_norm": 0.7015305757522583, + "learning_rate": 0.00011625266146202983, + "loss": 0.9896, + "step": 1182 + }, + { + "epoch": 1.68, + "grad_norm": 0.7185436487197876, + "learning_rate": 0.00011618168914123493, + "loss": 0.9676, + "step": 1183 + }, + { + "epoch": 1.68, + "grad_norm": 0.7177726030349731, + "learning_rate": 0.00011611071682044004, + "loss": 0.973, + "step": 1184 + }, + { + "epoch": 1.68, + "grad_norm": 0.7331061959266663, + "learning_rate": 0.00011603974449964514, + "loss": 0.9516, + "step": 1185 + }, + { + "epoch": 1.68, + "grad_norm": 0.7594481706619263, + "learning_rate": 0.00011596877217885025, + "loss": 1.011, + "step": 1186 + }, + { + "epoch": 1.68, + "grad_norm": 0.723116397857666, + "learning_rate": 0.00011589779985805535, + "loss": 0.9492, + "step": 1187 + }, + { + "epoch": 1.68, + "grad_norm": 0.773428738117218, + "learning_rate": 0.00011582682753726049, + "loss": 0.9604, + "step": 1188 + }, + { + "epoch": 1.68, + "grad_norm": 0.7496587634086609, + "learning_rate": 0.00011575585521646559, + "loss": 1.0742, + "step": 1189 + }, + { + "epoch": 1.69, + "grad_norm": 0.7052460312843323, + "learning_rate": 0.0001156848828956707, + "loss": 0.9653, + "step": 1190 + }, + { + "epoch": 1.69, + "grad_norm": 0.716080904006958, + "learning_rate": 0.0001156139105748758, + "loss": 1.0207, + "step": 1191 + }, + { + "epoch": 1.69, + "grad_norm": 0.7135874032974243, + "learning_rate": 0.00011554293825408091, + "loss": 0.9421, + "step": 1192 + }, + { + "epoch": 1.69, + "grad_norm": 0.7133678197860718, + "learning_rate": 0.00011547196593328601, + "loss": 0.9889, + "step": 1193 + }, + { + "epoch": 1.69, + "grad_norm": 0.711086630821228, + "learning_rate": 0.00011540099361249113, + "loss": 0.9795, + "step": 1194 + }, + { + "epoch": 1.69, + "grad_norm": 0.716465413570404, + "learning_rate": 0.00011533002129169624, + "loss": 1.0216, + "step": 1195 + }, + { + "epoch": 1.69, + "grad_norm": 0.7101050615310669, + "learning_rate": 0.00011525904897090137, + "loss": 0.965, + "step": 1196 + }, + { + "epoch": 1.7, + "grad_norm": 0.7278016209602356, + "learning_rate": 0.00011518807665010646, + "loss": 0.9736, + "step": 1197 + }, + { + "epoch": 1.7, + "grad_norm": 0.6872366666793823, + "learning_rate": 0.00011511710432931158, + "loss": 0.9184, + "step": 1198 + }, + { + "epoch": 1.7, + "grad_norm": 0.6575968861579895, + "learning_rate": 0.00011504613200851668, + "loss": 0.8861, + "step": 1199 + }, + { + "epoch": 1.7, + "grad_norm": 0.7604357004165649, + "learning_rate": 0.00011497515968772179, + "loss": 0.9599, + "step": 1200 + }, + { + "epoch": 1.7, + "grad_norm": 0.7085766792297363, + "learning_rate": 0.0001149041873669269, + "loss": 0.9557, + "step": 1201 + }, + { + "epoch": 1.7, + "grad_norm": 0.7655233144760132, + "learning_rate": 0.000114833215046132, + "loss": 0.969, + "step": 1202 + }, + { + "epoch": 1.7, + "grad_norm": 0.7449689507484436, + "learning_rate": 0.00011476224272533713, + "loss": 1.0241, + "step": 1203 + }, + { + "epoch": 1.71, + "grad_norm": 0.7180941700935364, + "learning_rate": 0.00011469127040454224, + "loss": 1.0062, + "step": 1204 + }, + { + "epoch": 1.71, + "grad_norm": 0.7065799236297607, + "learning_rate": 0.00011462029808374735, + "loss": 0.8982, + "step": 1205 + }, + { + "epoch": 1.71, + "grad_norm": 0.7072206735610962, + "learning_rate": 0.00011454932576295245, + "loss": 0.9872, + "step": 1206 + }, + { + "epoch": 1.71, + "grad_norm": 0.7332132458686829, + "learning_rate": 0.00011447835344215756, + "loss": 1.0426, + "step": 1207 + }, + { + "epoch": 1.71, + "grad_norm": 0.6793428063392639, + "learning_rate": 0.00011440738112136266, + "loss": 1.003, + "step": 1208 + }, + { + "epoch": 1.71, + "grad_norm": 0.6779395341873169, + "learning_rate": 0.00011433640880056778, + "loss": 0.8887, + "step": 1209 + }, + { + "epoch": 1.71, + "grad_norm": 0.7192417979240417, + "learning_rate": 0.0001142654364797729, + "loss": 1.0065, + "step": 1210 + }, + { + "epoch": 1.72, + "grad_norm": 0.7286444902420044, + "learning_rate": 0.00011419446415897802, + "loss": 0.9387, + "step": 1211 + }, + { + "epoch": 1.72, + "grad_norm": 0.7276972532272339, + "learning_rate": 0.00011412349183818311, + "loss": 0.9405, + "step": 1212 + }, + { + "epoch": 1.72, + "grad_norm": 0.7740305066108704, + "learning_rate": 0.00011405251951738823, + "loss": 1.0154, + "step": 1213 + }, + { + "epoch": 1.72, + "grad_norm": 0.7302063703536987, + "learning_rate": 0.00011398154719659333, + "loss": 0.9258, + "step": 1214 + }, + { + "epoch": 1.72, + "grad_norm": 0.7404993772506714, + "learning_rate": 0.00011391057487579844, + "loss": 0.9767, + "step": 1215 + }, + { + "epoch": 1.72, + "grad_norm": 0.7460538744926453, + "learning_rate": 0.00011383960255500354, + "loss": 0.9811, + "step": 1216 + }, + { + "epoch": 1.72, + "grad_norm": 0.7067095041275024, + "learning_rate": 0.00011376863023420868, + "loss": 0.923, + "step": 1217 + }, + { + "epoch": 1.73, + "grad_norm": 0.7123129963874817, + "learning_rate": 0.00011369765791341378, + "loss": 1.0037, + "step": 1218 + }, + { + "epoch": 1.73, + "grad_norm": 0.6522353291511536, + "learning_rate": 0.00011362668559261889, + "loss": 0.9337, + "step": 1219 + }, + { + "epoch": 1.73, + "grad_norm": 0.7282575368881226, + "learning_rate": 0.00011355571327182399, + "loss": 1.0617, + "step": 1220 + }, + { + "epoch": 1.73, + "grad_norm": 0.6829158067703247, + "learning_rate": 0.0001134847409510291, + "loss": 0.8669, + "step": 1221 + }, + { + "epoch": 1.73, + "grad_norm": 0.7063448429107666, + "learning_rate": 0.0001134137686302342, + "loss": 0.931, + "step": 1222 + }, + { + "epoch": 1.73, + "grad_norm": 0.7179009318351746, + "learning_rate": 0.00011334279630943931, + "loss": 1.0027, + "step": 1223 + }, + { + "epoch": 1.73, + "grad_norm": 0.7192047834396362, + "learning_rate": 0.00011327182398864444, + "loss": 0.9713, + "step": 1224 + }, + { + "epoch": 1.74, + "grad_norm": 0.7517329454421997, + "learning_rate": 0.00011320085166784955, + "loss": 1.0261, + "step": 1225 + }, + { + "epoch": 1.74, + "grad_norm": 0.7560898661613464, + "learning_rate": 0.00011312987934705465, + "loss": 0.9925, + "step": 1226 + }, + { + "epoch": 1.74, + "grad_norm": 0.7354062795639038, + "learning_rate": 0.00011305890702625976, + "loss": 0.9544, + "step": 1227 + }, + { + "epoch": 1.74, + "grad_norm": 0.7111262679100037, + "learning_rate": 0.00011298793470546488, + "loss": 1.0094, + "step": 1228 + }, + { + "epoch": 1.74, + "grad_norm": 0.7077128291130066, + "learning_rate": 0.00011291696238466998, + "loss": 0.9743, + "step": 1229 + }, + { + "epoch": 1.74, + "grad_norm": 0.7007378339767456, + "learning_rate": 0.00011284599006387509, + "loss": 0.9428, + "step": 1230 + }, + { + "epoch": 1.74, + "grad_norm": 0.7295317053794861, + "learning_rate": 0.00011277501774308022, + "loss": 0.96, + "step": 1231 + }, + { + "epoch": 1.75, + "grad_norm": 0.7037018537521362, + "learning_rate": 0.00011270404542228531, + "loss": 0.939, + "step": 1232 + }, + { + "epoch": 1.75, + "grad_norm": 0.7029048204421997, + "learning_rate": 0.00011263307310149043, + "loss": 0.932, + "step": 1233 + }, + { + "epoch": 1.75, + "grad_norm": 0.711932361125946, + "learning_rate": 0.00011256210078069554, + "loss": 0.9009, + "step": 1234 + }, + { + "epoch": 1.75, + "grad_norm": 0.7566869854927063, + "learning_rate": 0.00011249112845990064, + "loss": 0.9681, + "step": 1235 + }, + { + "epoch": 1.75, + "grad_norm": 0.7486440539360046, + "learning_rate": 0.00011242015613910575, + "loss": 1.0618, + "step": 1236 + }, + { + "epoch": 1.75, + "grad_norm": 0.7305347323417664, + "learning_rate": 0.00011234918381831085, + "loss": 0.9537, + "step": 1237 + }, + { + "epoch": 1.75, + "grad_norm": 0.7390864491462708, + "learning_rate": 0.00011227821149751598, + "loss": 1.0045, + "step": 1238 + }, + { + "epoch": 1.76, + "grad_norm": 0.7143562436103821, + "learning_rate": 0.00011220723917672109, + "loss": 0.9666, + "step": 1239 + }, + { + "epoch": 1.76, + "grad_norm": 0.7177388668060303, + "learning_rate": 0.0001121362668559262, + "loss": 1.0068, + "step": 1240 + }, + { + "epoch": 1.76, + "grad_norm": 0.6928455233573914, + "learning_rate": 0.0001120652945351313, + "loss": 0.9245, + "step": 1241 + }, + { + "epoch": 1.76, + "grad_norm": 0.6976019144058228, + "learning_rate": 0.00011199432221433641, + "loss": 0.9042, + "step": 1242 + }, + { + "epoch": 1.76, + "grad_norm": 0.7117376327514648, + "learning_rate": 0.00011192334989354151, + "loss": 0.9605, + "step": 1243 + }, + { + "epoch": 1.76, + "grad_norm": 0.7036189436912537, + "learning_rate": 0.00011185237757274663, + "loss": 0.8431, + "step": 1244 + }, + { + "epoch": 1.76, + "grad_norm": 0.7574560046195984, + "learning_rate": 0.00011178140525195175, + "loss": 1.0275, + "step": 1245 + }, + { + "epoch": 1.77, + "grad_norm": 0.7326035499572754, + "learning_rate": 0.00011171043293115687, + "loss": 0.9939, + "step": 1246 + }, + { + "epoch": 1.77, + "grad_norm": 0.7244006395339966, + "learning_rate": 0.00011163946061036197, + "loss": 0.9466, + "step": 1247 + }, + { + "epoch": 1.77, + "grad_norm": 0.7348788380622864, + "learning_rate": 0.00011156848828956708, + "loss": 0.942, + "step": 1248 + }, + { + "epoch": 1.77, + "grad_norm": 0.7395305037498474, + "learning_rate": 0.00011149751596877218, + "loss": 1.0074, + "step": 1249 + }, + { + "epoch": 1.77, + "grad_norm": 0.7284185886383057, + "learning_rate": 0.00011142654364797729, + "loss": 0.9612, + "step": 1250 + }, + { + "epoch": 1.77, + "grad_norm": 0.6985504031181335, + "learning_rate": 0.00011135557132718239, + "loss": 0.9172, + "step": 1251 + }, + { + "epoch": 1.77, + "grad_norm": 0.7086307406425476, + "learning_rate": 0.00011128459900638753, + "loss": 1.0036, + "step": 1252 + }, + { + "epoch": 1.78, + "grad_norm": 0.7150089144706726, + "learning_rate": 0.00011121362668559263, + "loss": 0.9534, + "step": 1253 + }, + { + "epoch": 1.78, + "grad_norm": 0.7261559963226318, + "learning_rate": 0.00011114265436479774, + "loss": 0.9956, + "step": 1254 + }, + { + "epoch": 1.78, + "grad_norm": 0.7401515245437622, + "learning_rate": 0.00011107168204400284, + "loss": 0.959, + "step": 1255 + }, + { + "epoch": 1.78, + "grad_norm": 0.732208788394928, + "learning_rate": 0.00011100070972320795, + "loss": 1.0415, + "step": 1256 + }, + { + "epoch": 1.78, + "grad_norm": 0.7246513366699219, + "learning_rate": 0.00011092973740241307, + "loss": 0.9867, + "step": 1257 + }, + { + "epoch": 1.78, + "grad_norm": 0.7390275001525879, + "learning_rate": 0.00011085876508161816, + "loss": 0.9737, + "step": 1258 + }, + { + "epoch": 1.78, + "grad_norm": 0.7073413133621216, + "learning_rate": 0.00011078779276082329, + "loss": 1.011, + "step": 1259 + }, + { + "epoch": 1.79, + "grad_norm": 0.7103257775306702, + "learning_rate": 0.0001107168204400284, + "loss": 0.9457, + "step": 1260 + }, + { + "epoch": 1.79, + "grad_norm": 0.7341899871826172, + "learning_rate": 0.0001106458481192335, + "loss": 0.9708, + "step": 1261 + }, + { + "epoch": 1.79, + "grad_norm": 0.743951141834259, + "learning_rate": 0.00011057487579843862, + "loss": 0.9338, + "step": 1262 + }, + { + "epoch": 1.79, + "grad_norm": 0.7139862775802612, + "learning_rate": 0.00011050390347764373, + "loss": 0.9012, + "step": 1263 + }, + { + "epoch": 1.79, + "grad_norm": 0.802229642868042, + "learning_rate": 0.00011043293115684883, + "loss": 0.9703, + "step": 1264 + }, + { + "epoch": 1.79, + "grad_norm": 0.7592867612838745, + "learning_rate": 0.00011036195883605394, + "loss": 1.0162, + "step": 1265 + }, + { + "epoch": 1.79, + "grad_norm": 0.7308145761489868, + "learning_rate": 0.00011029098651525907, + "loss": 0.9908, + "step": 1266 + }, + { + "epoch": 1.79, + "grad_norm": 0.764416515827179, + "learning_rate": 0.00011022001419446417, + "loss": 1.0165, + "step": 1267 + }, + { + "epoch": 1.8, + "grad_norm": 0.7167296409606934, + "learning_rate": 0.00011014904187366928, + "loss": 1.0095, + "step": 1268 + }, + { + "epoch": 1.8, + "grad_norm": 0.6738303899765015, + "learning_rate": 0.00011007806955287439, + "loss": 0.8957, + "step": 1269 + }, + { + "epoch": 1.8, + "grad_norm": 0.7134904265403748, + "learning_rate": 0.00011000709723207949, + "loss": 0.9553, + "step": 1270 + }, + { + "epoch": 1.8, + "grad_norm": 0.6910573840141296, + "learning_rate": 0.0001099361249112846, + "loss": 0.9147, + "step": 1271 + }, + { + "epoch": 1.8, + "grad_norm": 0.7500548958778381, + "learning_rate": 0.0001098651525904897, + "loss": 1.0135, + "step": 1272 + }, + { + "epoch": 1.8, + "grad_norm": 0.7269773483276367, + "learning_rate": 0.00010979418026969484, + "loss": 1.0022, + "step": 1273 + }, + { + "epoch": 1.8, + "grad_norm": 0.7309441566467285, + "learning_rate": 0.00010972320794889994, + "loss": 0.9536, + "step": 1274 + }, + { + "epoch": 1.81, + "grad_norm": 0.7545249462127686, + "learning_rate": 0.00010965223562810505, + "loss": 0.9793, + "step": 1275 + }, + { + "epoch": 1.81, + "grad_norm": 0.7531616687774658, + "learning_rate": 0.00010958126330731015, + "loss": 0.8926, + "step": 1276 + }, + { + "epoch": 1.81, + "grad_norm": 0.7523400187492371, + "learning_rate": 0.00010951029098651527, + "loss": 0.9868, + "step": 1277 + }, + { + "epoch": 1.81, + "grad_norm": 0.7421838045120239, + "learning_rate": 0.00010943931866572036, + "loss": 0.9743, + "step": 1278 + }, + { + "epoch": 1.81, + "grad_norm": 0.7826520204544067, + "learning_rate": 0.00010936834634492548, + "loss": 1.042, + "step": 1279 + }, + { + "epoch": 1.81, + "grad_norm": 0.7460055351257324, + "learning_rate": 0.00010929737402413058, + "loss": 0.9605, + "step": 1280 + }, + { + "epoch": 1.81, + "grad_norm": 0.723533570766449, + "learning_rate": 0.00010922640170333572, + "loss": 1.0004, + "step": 1281 + }, + { + "epoch": 1.82, + "grad_norm": 0.7450777888298035, + "learning_rate": 0.00010915542938254082, + "loss": 1.058, + "step": 1282 + }, + { + "epoch": 1.82, + "grad_norm": 0.7143047451972961, + "learning_rate": 0.00010908445706174593, + "loss": 1.0019, + "step": 1283 + }, + { + "epoch": 1.82, + "grad_norm": 0.6794545650482178, + "learning_rate": 0.00010901348474095103, + "loss": 0.9604, + "step": 1284 + }, + { + "epoch": 1.82, + "grad_norm": 0.6825183629989624, + "learning_rate": 0.00010894251242015614, + "loss": 0.935, + "step": 1285 + }, + { + "epoch": 1.82, + "grad_norm": 0.6939642429351807, + "learning_rate": 0.00010887154009936125, + "loss": 1.0092, + "step": 1286 + }, + { + "epoch": 1.82, + "grad_norm": 0.7390894293785095, + "learning_rate": 0.00010880056777856635, + "loss": 1.0106, + "step": 1287 + }, + { + "epoch": 1.82, + "grad_norm": 0.740071177482605, + "learning_rate": 0.00010872959545777148, + "loss": 0.9024, + "step": 1288 + }, + { + "epoch": 1.83, + "grad_norm": 0.7248451709747314, + "learning_rate": 0.00010865862313697659, + "loss": 0.9534, + "step": 1289 + }, + { + "epoch": 1.83, + "grad_norm": 0.7937654852867126, + "learning_rate": 0.00010858765081618169, + "loss": 1.022, + "step": 1290 + }, + { + "epoch": 1.83, + "grad_norm": 0.7495038509368896, + "learning_rate": 0.0001085166784953868, + "loss": 0.8344, + "step": 1291 + }, + { + "epoch": 1.83, + "grad_norm": 0.7504763603210449, + "learning_rate": 0.00010844570617459192, + "loss": 0.9882, + "step": 1292 + }, + { + "epoch": 1.83, + "grad_norm": 0.7662994861602783, + "learning_rate": 0.00010837473385379701, + "loss": 0.9283, + "step": 1293 + }, + { + "epoch": 1.83, + "grad_norm": 0.7336791157722473, + "learning_rate": 0.00010830376153300213, + "loss": 0.9955, + "step": 1294 + }, + { + "epoch": 1.83, + "grad_norm": 0.7345770597457886, + "learning_rate": 0.00010823278921220725, + "loss": 0.9991, + "step": 1295 + }, + { + "epoch": 1.84, + "grad_norm": 0.6934396624565125, + "learning_rate": 0.00010816181689141235, + "loss": 0.8826, + "step": 1296 + }, + { + "epoch": 1.84, + "grad_norm": 0.7034685611724854, + "learning_rate": 0.00010809084457061747, + "loss": 0.9665, + "step": 1297 + }, + { + "epoch": 1.84, + "grad_norm": 0.6718670725822449, + "learning_rate": 0.00010801987224982258, + "loss": 0.8808, + "step": 1298 + }, + { + "epoch": 1.84, + "grad_norm": 0.7105706334114075, + "learning_rate": 0.00010794889992902768, + "loss": 0.9399, + "step": 1299 + }, + { + "epoch": 1.84, + "grad_norm": 0.7107860445976257, + "learning_rate": 0.00010787792760823279, + "loss": 0.9766, + "step": 1300 + }, + { + "epoch": 1.84, + "grad_norm": 0.7587505578994751, + "learning_rate": 0.00010780695528743789, + "loss": 0.993, + "step": 1301 + }, + { + "epoch": 1.84, + "grad_norm": 0.7261898517608643, + "learning_rate": 0.00010773598296664303, + "loss": 0.9075, + "step": 1302 + }, + { + "epoch": 1.85, + "grad_norm": 0.712391197681427, + "learning_rate": 0.00010766501064584813, + "loss": 0.991, + "step": 1303 + }, + { + "epoch": 1.85, + "grad_norm": 0.7336340546607971, + "learning_rate": 0.00010759403832505324, + "loss": 1.036, + "step": 1304 + }, + { + "epoch": 1.85, + "grad_norm": 0.7203515768051147, + "learning_rate": 0.00010752306600425834, + "loss": 1.0046, + "step": 1305 + }, + { + "epoch": 1.85, + "grad_norm": 0.723571240901947, + "learning_rate": 0.00010745209368346345, + "loss": 0.9865, + "step": 1306 + }, + { + "epoch": 1.85, + "grad_norm": 0.7366999983787537, + "learning_rate": 0.00010738112136266855, + "loss": 0.9563, + "step": 1307 + }, + { + "epoch": 1.85, + "grad_norm": 0.7270590662956238, + "learning_rate": 0.00010731014904187367, + "loss": 0.9038, + "step": 1308 + }, + { + "epoch": 1.85, + "grad_norm": 0.7648587226867676, + "learning_rate": 0.00010723917672107879, + "loss": 1.0028, + "step": 1309 + }, + { + "epoch": 1.86, + "grad_norm": 0.6916332244873047, + "learning_rate": 0.0001071682044002839, + "loss": 0.8921, + "step": 1310 + }, + { + "epoch": 1.86, + "grad_norm": 0.7208322882652283, + "learning_rate": 0.000107097232079489, + "loss": 0.9974, + "step": 1311 + }, + { + "epoch": 1.86, + "grad_norm": 0.7530882358551025, + "learning_rate": 0.00010702625975869412, + "loss": 0.9533, + "step": 1312 + }, + { + "epoch": 1.86, + "grad_norm": 0.7088322639465332, + "learning_rate": 0.00010695528743789922, + "loss": 0.9691, + "step": 1313 + }, + { + "epoch": 1.86, + "grad_norm": 0.7041926383972168, + "learning_rate": 0.00010688431511710433, + "loss": 0.9699, + "step": 1314 + }, + { + "epoch": 1.86, + "grad_norm": 0.7026035785675049, + "learning_rate": 0.00010681334279630944, + "loss": 1.0027, + "step": 1315 + }, + { + "epoch": 1.86, + "grad_norm": 0.7356511354446411, + "learning_rate": 0.00010674237047551457, + "loss": 0.9931, + "step": 1316 + }, + { + "epoch": 1.87, + "grad_norm": 0.7051964402198792, + "learning_rate": 0.00010667139815471967, + "loss": 0.9606, + "step": 1317 + }, + { + "epoch": 1.87, + "grad_norm": 0.7253301739692688, + "learning_rate": 0.00010660042583392478, + "loss": 1.0027, + "step": 1318 + }, + { + "epoch": 1.87, + "grad_norm": 0.7091968059539795, + "learning_rate": 0.00010652945351312988, + "loss": 0.9177, + "step": 1319 + }, + { + "epoch": 1.87, + "grad_norm": 0.7086256146430969, + "learning_rate": 0.00010645848119233499, + "loss": 0.9631, + "step": 1320 + }, + { + "epoch": 1.87, + "grad_norm": 0.7075737714767456, + "learning_rate": 0.0001063875088715401, + "loss": 0.9245, + "step": 1321 + }, + { + "epoch": 1.87, + "grad_norm": 0.733659565448761, + "learning_rate": 0.0001063165365507452, + "loss": 0.9595, + "step": 1322 + }, + { + "epoch": 1.87, + "grad_norm": 0.7235379815101624, + "learning_rate": 0.00010624556422995033, + "loss": 0.8914, + "step": 1323 + }, + { + "epoch": 1.88, + "grad_norm": 0.8256986141204834, + "learning_rate": 0.00010617459190915544, + "loss": 1.031, + "step": 1324 + }, + { + "epoch": 1.88, + "grad_norm": 0.7533237934112549, + "learning_rate": 0.00010610361958836055, + "loss": 0.977, + "step": 1325 + }, + { + "epoch": 1.88, + "grad_norm": 0.7689191699028015, + "learning_rate": 0.00010603264726756565, + "loss": 0.926, + "step": 1326 + }, + { + "epoch": 1.88, + "grad_norm": 0.7381359934806824, + "learning_rate": 0.00010596167494677077, + "loss": 0.9478, + "step": 1327 + }, + { + "epoch": 1.88, + "grad_norm": 0.7638797163963318, + "learning_rate": 0.00010589070262597587, + "loss": 0.9694, + "step": 1328 + }, + { + "epoch": 1.88, + "grad_norm": 0.7295525074005127, + "learning_rate": 0.00010581973030518098, + "loss": 1.0069, + "step": 1329 + }, + { + "epoch": 1.88, + "grad_norm": 0.7049389481544495, + "learning_rate": 0.0001057487579843861, + "loss": 0.9564, + "step": 1330 + }, + { + "epoch": 1.89, + "grad_norm": 0.7222816944122314, + "learning_rate": 0.00010567778566359122, + "loss": 0.9999, + "step": 1331 + }, + { + "epoch": 1.89, + "grad_norm": 0.7252581715583801, + "learning_rate": 0.00010560681334279632, + "loss": 0.9455, + "step": 1332 + }, + { + "epoch": 1.89, + "grad_norm": 0.7246282696723938, + "learning_rate": 0.00010553584102200143, + "loss": 0.9012, + "step": 1333 + }, + { + "epoch": 1.89, + "grad_norm": 0.6909769177436829, + "learning_rate": 0.00010546486870120653, + "loss": 0.9417, + "step": 1334 + }, + { + "epoch": 1.89, + "grad_norm": 0.7185254693031311, + "learning_rate": 0.00010539389638041164, + "loss": 0.9911, + "step": 1335 + }, + { + "epoch": 1.89, + "grad_norm": 0.7959221005439758, + "learning_rate": 0.00010532292405961674, + "loss": 0.9653, + "step": 1336 + }, + { + "epoch": 1.89, + "grad_norm": 0.7081154584884644, + "learning_rate": 0.00010525195173882188, + "loss": 0.8621, + "step": 1337 + }, + { + "epoch": 1.9, + "grad_norm": 0.7107864618301392, + "learning_rate": 0.00010518097941802698, + "loss": 0.994, + "step": 1338 + }, + { + "epoch": 1.9, + "grad_norm": 0.7213383316993713, + "learning_rate": 0.00010511000709723209, + "loss": 0.9479, + "step": 1339 + }, + { + "epoch": 1.9, + "grad_norm": 0.7340273261070251, + "learning_rate": 0.00010503903477643719, + "loss": 0.9278, + "step": 1340 + }, + { + "epoch": 1.9, + "grad_norm": 0.7713385820388794, + "learning_rate": 0.0001049680624556423, + "loss": 1.0469, + "step": 1341 + }, + { + "epoch": 1.9, + "grad_norm": 0.6916841268539429, + "learning_rate": 0.0001048970901348474, + "loss": 0.9564, + "step": 1342 + }, + { + "epoch": 1.9, + "grad_norm": 0.7080590128898621, + "learning_rate": 0.00010482611781405252, + "loss": 0.9239, + "step": 1343 + }, + { + "epoch": 1.9, + "grad_norm": 0.7093188762664795, + "learning_rate": 0.00010475514549325764, + "loss": 0.9249, + "step": 1344 + }, + { + "epoch": 1.91, + "grad_norm": 0.7387856841087341, + "learning_rate": 0.00010468417317246275, + "loss": 1.0172, + "step": 1345 + }, + { + "epoch": 1.91, + "grad_norm": 0.6952479481697083, + "learning_rate": 0.00010461320085166785, + "loss": 0.9636, + "step": 1346 + }, + { + "epoch": 1.91, + "grad_norm": 0.7166315913200378, + "learning_rate": 0.00010454222853087297, + "loss": 0.9475, + "step": 1347 + }, + { + "epoch": 1.91, + "grad_norm": 0.7198975682258606, + "learning_rate": 0.00010447125621007807, + "loss": 0.9229, + "step": 1348 + }, + { + "epoch": 1.91, + "grad_norm": 0.7340227961540222, + "learning_rate": 0.00010440028388928318, + "loss": 1.0101, + "step": 1349 + }, + { + "epoch": 1.91, + "grad_norm": 0.7560737133026123, + "learning_rate": 0.00010432931156848829, + "loss": 1.0183, + "step": 1350 + }, + { + "epoch": 1.91, + "grad_norm": 0.7338775396347046, + "learning_rate": 0.00010425833924769342, + "loss": 0.9869, + "step": 1351 + }, + { + "epoch": 1.92, + "grad_norm": 0.7228880524635315, + "learning_rate": 0.00010418736692689852, + "loss": 0.9771, + "step": 1352 + }, + { + "epoch": 1.92, + "grad_norm": 0.7613531351089478, + "learning_rate": 0.00010411639460610363, + "loss": 0.9756, + "step": 1353 + }, + { + "epoch": 1.92, + "grad_norm": 0.7517747282981873, + "learning_rate": 0.00010404542228530874, + "loss": 0.9873, + "step": 1354 + }, + { + "epoch": 1.92, + "grad_norm": 0.7492972612380981, + "learning_rate": 0.00010397444996451384, + "loss": 1.0389, + "step": 1355 + }, + { + "epoch": 1.92, + "grad_norm": 0.7404029965400696, + "learning_rate": 0.00010390347764371895, + "loss": 1.0034, + "step": 1356 + }, + { + "epoch": 1.92, + "grad_norm": 0.6921476125717163, + "learning_rate": 0.00010383250532292405, + "loss": 0.9379, + "step": 1357 + }, + { + "epoch": 1.92, + "grad_norm": 0.7141453623771667, + "learning_rate": 0.00010376153300212918, + "loss": 0.8902, + "step": 1358 + }, + { + "epoch": 1.93, + "grad_norm": 0.7601017355918884, + "learning_rate": 0.00010369056068133429, + "loss": 0.9661, + "step": 1359 + }, + { + "epoch": 1.93, + "grad_norm": 0.7252589464187622, + "learning_rate": 0.0001036195883605394, + "loss": 0.9692, + "step": 1360 + }, + { + "epoch": 1.93, + "grad_norm": 0.7792155742645264, + "learning_rate": 0.0001035486160397445, + "loss": 0.9614, + "step": 1361 + }, + { + "epoch": 1.93, + "grad_norm": 0.7573446035385132, + "learning_rate": 0.00010347764371894962, + "loss": 0.8806, + "step": 1362 + }, + { + "epoch": 1.93, + "grad_norm": 0.7885202169418335, + "learning_rate": 0.00010340667139815472, + "loss": 0.9797, + "step": 1363 + }, + { + "epoch": 1.93, + "grad_norm": 0.7697455286979675, + "learning_rate": 0.00010333569907735983, + "loss": 0.9303, + "step": 1364 + }, + { + "epoch": 1.93, + "grad_norm": 0.7955215573310852, + "learning_rate": 0.00010326472675656495, + "loss": 1.0014, + "step": 1365 + }, + { + "epoch": 1.94, + "grad_norm": 0.7274532318115234, + "learning_rate": 0.00010319375443577007, + "loss": 0.9392, + "step": 1366 + }, + { + "epoch": 1.94, + "grad_norm": 0.7063309550285339, + "learning_rate": 0.00010312278211497517, + "loss": 0.9254, + "step": 1367 + }, + { + "epoch": 1.94, + "grad_norm": 0.6960466504096985, + "learning_rate": 0.00010305180979418028, + "loss": 0.9474, + "step": 1368 + }, + { + "epoch": 1.94, + "grad_norm": 0.6692228317260742, + "learning_rate": 0.00010298083747338538, + "loss": 0.9358, + "step": 1369 + }, + { + "epoch": 1.94, + "grad_norm": 0.7357027530670166, + "learning_rate": 0.00010290986515259049, + "loss": 1.055, + "step": 1370 + }, + { + "epoch": 1.94, + "grad_norm": 0.7488313317298889, + "learning_rate": 0.00010283889283179559, + "loss": 0.8772, + "step": 1371 + }, + { + "epoch": 1.94, + "grad_norm": 0.7428348660469055, + "learning_rate": 0.0001027679205110007, + "loss": 1.0286, + "step": 1372 + }, + { + "epoch": 1.95, + "grad_norm": 0.7692130208015442, + "learning_rate": 0.00010269694819020583, + "loss": 0.9619, + "step": 1373 + }, + { + "epoch": 1.95, + "grad_norm": 0.748082160949707, + "learning_rate": 0.00010262597586941094, + "loss": 0.9234, + "step": 1374 + }, + { + "epoch": 1.95, + "grad_norm": 0.7470769882202148, + "learning_rate": 0.00010255500354861604, + "loss": 0.9904, + "step": 1375 + }, + { + "epoch": 1.95, + "grad_norm": 0.8034458160400391, + "learning_rate": 0.00010248403122782115, + "loss": 1.0794, + "step": 1376 + }, + { + "epoch": 1.95, + "grad_norm": 0.7386705875396729, + "learning_rate": 0.00010241305890702627, + "loss": 0.9268, + "step": 1377 + }, + { + "epoch": 1.95, + "grad_norm": 0.7536996603012085, + "learning_rate": 0.00010234208658623137, + "loss": 1.0428, + "step": 1378 + }, + { + "epoch": 1.95, + "grad_norm": 0.753163754940033, + "learning_rate": 0.00010227111426543648, + "loss": 1.0112, + "step": 1379 + }, + { + "epoch": 1.96, + "grad_norm": 0.7234356999397278, + "learning_rate": 0.0001022001419446416, + "loss": 0.9551, + "step": 1380 + }, + { + "epoch": 1.96, + "grad_norm": 0.7315410375595093, + "learning_rate": 0.0001021291696238467, + "loss": 0.9997, + "step": 1381 + }, + { + "epoch": 1.96, + "grad_norm": 0.7085781097412109, + "learning_rate": 0.00010205819730305182, + "loss": 0.987, + "step": 1382 + }, + { + "epoch": 1.96, + "grad_norm": 0.7303948998451233, + "learning_rate": 0.00010198722498225693, + "loss": 0.9763, + "step": 1383 + }, + { + "epoch": 1.96, + "grad_norm": 0.7143583297729492, + "learning_rate": 0.00010191625266146203, + "loss": 0.8577, + "step": 1384 + }, + { + "epoch": 1.96, + "grad_norm": 0.7335658073425293, + "learning_rate": 0.00010184528034066714, + "loss": 0.9503, + "step": 1385 + }, + { + "epoch": 1.96, + "grad_norm": 0.7341468334197998, + "learning_rate": 0.00010177430801987224, + "loss": 0.9232, + "step": 1386 + }, + { + "epoch": 1.96, + "grad_norm": 0.7755731344223022, + "learning_rate": 0.00010170333569907737, + "loss": 1.0562, + "step": 1387 + }, + { + "epoch": 1.97, + "grad_norm": 0.7738588452339172, + "learning_rate": 0.00010163236337828248, + "loss": 0.9736, + "step": 1388 + }, + { + "epoch": 1.97, + "grad_norm": 0.7616381645202637, + "learning_rate": 0.00010156139105748759, + "loss": 0.9838, + "step": 1389 + }, + { + "epoch": 1.97, + "grad_norm": 0.7650443315505981, + "learning_rate": 0.00010149041873669269, + "loss": 0.9184, + "step": 1390 + }, + { + "epoch": 1.97, + "grad_norm": 0.7394657135009766, + "learning_rate": 0.0001014194464158978, + "loss": 0.8795, + "step": 1391 + }, + { + "epoch": 1.97, + "grad_norm": 0.6988821625709534, + "learning_rate": 0.0001013484740951029, + "loss": 0.9545, + "step": 1392 + }, + { + "epoch": 1.97, + "grad_norm": 0.7445807456970215, + "learning_rate": 0.00010127750177430802, + "loss": 0.9847, + "step": 1393 + }, + { + "epoch": 1.97, + "grad_norm": 0.7342961430549622, + "learning_rate": 0.00010120652945351314, + "loss": 0.9654, + "step": 1394 + }, + { + "epoch": 1.98, + "grad_norm": 0.726063072681427, + "learning_rate": 0.00010113555713271826, + "loss": 0.9411, + "step": 1395 + }, + { + "epoch": 1.98, + "grad_norm": 0.6817072629928589, + "learning_rate": 0.00010106458481192335, + "loss": 0.9266, + "step": 1396 + }, + { + "epoch": 1.98, + "grad_norm": 0.717892050743103, + "learning_rate": 0.00010099361249112847, + "loss": 0.9439, + "step": 1397 + }, + { + "epoch": 1.98, + "grad_norm": 0.7288515567779541, + "learning_rate": 0.00010092264017033357, + "loss": 1.0106, + "step": 1398 + }, + { + "epoch": 1.98, + "grad_norm": 0.7539445757865906, + "learning_rate": 0.00010085166784953868, + "loss": 1.0806, + "step": 1399 + }, + { + "epoch": 1.98, + "grad_norm": 0.7196104526519775, + "learning_rate": 0.00010078069552874378, + "loss": 0.8989, + "step": 1400 + }, + { + "epoch": 1.98, + "grad_norm": 0.7768797278404236, + "learning_rate": 0.00010070972320794892, + "loss": 0.8933, + "step": 1401 + }, + { + "epoch": 1.99, + "grad_norm": 0.7455546855926514, + "learning_rate": 0.00010063875088715402, + "loss": 1.0315, + "step": 1402 + }, + { + "epoch": 1.99, + "grad_norm": 0.7538041472434998, + "learning_rate": 0.00010056777856635913, + "loss": 1.001, + "step": 1403 + }, + { + "epoch": 1.99, + "grad_norm": 0.7568172216415405, + "learning_rate": 0.00010049680624556423, + "loss": 1.0073, + "step": 1404 + }, + { + "epoch": 1.99, + "grad_norm": 0.761991024017334, + "learning_rate": 0.00010042583392476934, + "loss": 0.9716, + "step": 1405 + }, + { + "epoch": 1.99, + "grad_norm": 0.7252638339996338, + "learning_rate": 0.00010035486160397445, + "loss": 0.9636, + "step": 1406 + }, + { + "epoch": 1.99, + "grad_norm": 0.7555544972419739, + "learning_rate": 0.00010028388928317955, + "loss": 0.9955, + "step": 1407 + }, + { + "epoch": 1.99, + "grad_norm": 0.7491613030433655, + "learning_rate": 0.00010021291696238468, + "loss": 1.0634, + "step": 1408 + }, + { + "epoch": 2.0, + "grad_norm": 0.7551286220550537, + "learning_rate": 0.00010014194464158979, + "loss": 0.9722, + "step": 1409 + }, + { + "epoch": 2.0, + "grad_norm": 0.7532618045806885, + "learning_rate": 0.00010007097232079489, + "loss": 0.9702, + "step": 1410 + }, + { + "epoch": 2.0, + "grad_norm": 0.7265384793281555, + "learning_rate": 0.0001, + "loss": 0.9758, + "step": 1411 + }, + { + "epoch": 2.0, + "grad_norm": 0.6909193992614746, + "learning_rate": 9.992902767920512e-05, + "loss": 0.8897, + "step": 1412 + }, + { + "epoch": 2.0, + "grad_norm": 0.6946807503700256, + "learning_rate": 9.985805535841023e-05, + "loss": 0.7733, + "step": 1413 + }, + { + "epoch": 2.0, + "grad_norm": 0.6953454613685608, + "learning_rate": 9.978708303761534e-05, + "loss": 0.7321, + "step": 1414 + }, + { + "epoch": 2.0, + "grad_norm": 0.7531546950340271, + "learning_rate": 9.971611071682044e-05, + "loss": 0.788, + "step": 1415 + }, + { + "epoch": 2.01, + "grad_norm": 0.8027557730674744, + "learning_rate": 9.964513839602555e-05, + "loss": 0.6882, + "step": 1416 + }, + { + "epoch": 2.01, + "grad_norm": 0.9294509291648865, + "learning_rate": 9.957416607523067e-05, + "loss": 0.7098, + "step": 1417 + }, + { + "epoch": 2.01, + "grad_norm": 1.0754622220993042, + "learning_rate": 9.950319375443578e-05, + "loss": 0.716, + "step": 1418 + }, + { + "epoch": 2.01, + "grad_norm": 0.9674079418182373, + "learning_rate": 9.943222143364088e-05, + "loss": 0.6679, + "step": 1419 + }, + { + "epoch": 2.01, + "grad_norm": 0.9014368057250977, + "learning_rate": 9.9361249112846e-05, + "loss": 0.713, + "step": 1420 + }, + { + "epoch": 2.01, + "grad_norm": 0.8310858607292175, + "learning_rate": 9.92902767920511e-05, + "loss": 0.6925, + "step": 1421 + }, + { + "epoch": 2.01, + "grad_norm": 0.8001790642738342, + "learning_rate": 9.921930447125622e-05, + "loss": 0.7517, + "step": 1422 + }, + { + "epoch": 2.02, + "grad_norm": 0.7294822335243225, + "learning_rate": 9.914833215046132e-05, + "loss": 0.6376, + "step": 1423 + }, + { + "epoch": 2.02, + "grad_norm": 0.7423235177993774, + "learning_rate": 9.907735982966644e-05, + "loss": 0.7022, + "step": 1424 + }, + { + "epoch": 2.02, + "grad_norm": 0.7563339471817017, + "learning_rate": 9.900638750887154e-05, + "loss": 0.6896, + "step": 1425 + }, + { + "epoch": 2.02, + "grad_norm": 0.8096082210540771, + "learning_rate": 9.893541518807666e-05, + "loss": 0.6826, + "step": 1426 + }, + { + "epoch": 2.02, + "grad_norm": 0.8095359802246094, + "learning_rate": 9.886444286728177e-05, + "loss": 0.6946, + "step": 1427 + }, + { + "epoch": 2.02, + "grad_norm": 0.8249964118003845, + "learning_rate": 9.879347054648688e-05, + "loss": 0.6902, + "step": 1428 + }, + { + "epoch": 2.02, + "grad_norm": 0.8830640316009521, + "learning_rate": 9.872249822569198e-05, + "loss": 0.6451, + "step": 1429 + }, + { + "epoch": 2.03, + "grad_norm": 0.9052359461784363, + "learning_rate": 9.865152590489709e-05, + "loss": 0.7589, + "step": 1430 + }, + { + "epoch": 2.03, + "grad_norm": 0.8446089029312134, + "learning_rate": 9.85805535841022e-05, + "loss": 0.6526, + "step": 1431 + }, + { + "epoch": 2.03, + "grad_norm": 0.84389728307724, + "learning_rate": 9.850958126330732e-05, + "loss": 0.7144, + "step": 1432 + }, + { + "epoch": 2.03, + "grad_norm": 0.8531579971313477, + "learning_rate": 9.843860894251242e-05, + "loss": 0.7598, + "step": 1433 + }, + { + "epoch": 2.03, + "grad_norm": 0.7820523977279663, + "learning_rate": 9.836763662171753e-05, + "loss": 0.666, + "step": 1434 + }, + { + "epoch": 2.03, + "grad_norm": 0.8026299476623535, + "learning_rate": 9.829666430092264e-05, + "loss": 0.689, + "step": 1435 + }, + { + "epoch": 2.03, + "grad_norm": 0.8456664681434631, + "learning_rate": 9.822569198012776e-05, + "loss": 0.7466, + "step": 1436 + }, + { + "epoch": 2.04, + "grad_norm": 0.81344074010849, + "learning_rate": 9.815471965933285e-05, + "loss": 0.6924, + "step": 1437 + }, + { + "epoch": 2.04, + "grad_norm": 0.8156119585037231, + "learning_rate": 9.808374733853798e-05, + "loss": 0.6812, + "step": 1438 + }, + { + "epoch": 2.04, + "grad_norm": 0.8709864020347595, + "learning_rate": 9.801277501774308e-05, + "loss": 0.7375, + "step": 1439 + }, + { + "epoch": 2.04, + "grad_norm": 0.8173854947090149, + "learning_rate": 9.794180269694819e-05, + "loss": 0.7124, + "step": 1440 + }, + { + "epoch": 2.04, + "grad_norm": 0.8464558124542236, + "learning_rate": 9.78708303761533e-05, + "loss": 0.7316, + "step": 1441 + }, + { + "epoch": 2.04, + "grad_norm": 0.8382313251495361, + "learning_rate": 9.779985805535842e-05, + "loss": 0.6897, + "step": 1442 + }, + { + "epoch": 2.04, + "grad_norm": 0.8649709820747375, + "learning_rate": 9.772888573456353e-05, + "loss": 0.7518, + "step": 1443 + }, + { + "epoch": 2.05, + "grad_norm": 0.7927874326705933, + "learning_rate": 9.765791341376863e-05, + "loss": 0.7071, + "step": 1444 + }, + { + "epoch": 2.05, + "grad_norm": 0.8561937808990479, + "learning_rate": 9.758694109297374e-05, + "loss": 0.7027, + "step": 1445 + }, + { + "epoch": 2.05, + "grad_norm": 0.8343231678009033, + "learning_rate": 9.751596877217886e-05, + "loss": 0.7474, + "step": 1446 + }, + { + "epoch": 2.05, + "grad_norm": 0.8136131763458252, + "learning_rate": 9.744499645138397e-05, + "loss": 0.7358, + "step": 1447 + }, + { + "epoch": 2.05, + "grad_norm": 0.8063412308692932, + "learning_rate": 9.737402413058907e-05, + "loss": 0.7115, + "step": 1448 + }, + { + "epoch": 2.05, + "grad_norm": 0.8385120630264282, + "learning_rate": 9.73030518097942e-05, + "loss": 0.7042, + "step": 1449 + }, + { + "epoch": 2.05, + "grad_norm": 0.8496181964874268, + "learning_rate": 9.723207948899929e-05, + "loss": 0.7378, + "step": 1450 + }, + { + "epoch": 2.06, + "grad_norm": 0.8625522255897522, + "learning_rate": 9.71611071682044e-05, + "loss": 0.69, + "step": 1451 + }, + { + "epoch": 2.06, + "grad_norm": 0.8408932089805603, + "learning_rate": 9.709013484740952e-05, + "loss": 0.6602, + "step": 1452 + }, + { + "epoch": 2.06, + "grad_norm": 0.82053142786026, + "learning_rate": 9.701916252661463e-05, + "loss": 0.6759, + "step": 1453 + }, + { + "epoch": 2.06, + "grad_norm": 0.8382329344749451, + "learning_rate": 9.694819020581973e-05, + "loss": 0.6741, + "step": 1454 + }, + { + "epoch": 2.06, + "grad_norm": 0.8781008720397949, + "learning_rate": 9.687721788502484e-05, + "loss": 0.7876, + "step": 1455 + }, + { + "epoch": 2.06, + "grad_norm": 0.8545266389846802, + "learning_rate": 9.680624556422996e-05, + "loss": 0.7504, + "step": 1456 + }, + { + "epoch": 2.06, + "grad_norm": 0.8554444909095764, + "learning_rate": 9.673527324343507e-05, + "loss": 0.7148, + "step": 1457 + }, + { + "epoch": 2.07, + "grad_norm": 0.8741387128829956, + "learning_rate": 9.666430092264017e-05, + "loss": 0.7527, + "step": 1458 + }, + { + "epoch": 2.07, + "grad_norm": 0.8928270936012268, + "learning_rate": 9.65933286018453e-05, + "loss": 0.7233, + "step": 1459 + }, + { + "epoch": 2.07, + "grad_norm": 0.8724638223648071, + "learning_rate": 9.652235628105039e-05, + "loss": 0.7014, + "step": 1460 + }, + { + "epoch": 2.07, + "grad_norm": 0.8374599814414978, + "learning_rate": 9.64513839602555e-05, + "loss": 0.6646, + "step": 1461 + }, + { + "epoch": 2.07, + "grad_norm": 0.8397142291069031, + "learning_rate": 9.63804116394606e-05, + "loss": 0.6829, + "step": 1462 + }, + { + "epoch": 2.07, + "grad_norm": 0.7984825372695923, + "learning_rate": 9.630943931866573e-05, + "loss": 0.748, + "step": 1463 + }, + { + "epoch": 2.07, + "grad_norm": 0.8543975353240967, + "learning_rate": 9.623846699787083e-05, + "loss": 0.6743, + "step": 1464 + }, + { + "epoch": 2.08, + "grad_norm": 0.8055514693260193, + "learning_rate": 9.616749467707594e-05, + "loss": 0.6725, + "step": 1465 + }, + { + "epoch": 2.08, + "grad_norm": 0.8549181818962097, + "learning_rate": 9.609652235628106e-05, + "loss": 0.7744, + "step": 1466 + }, + { + "epoch": 2.08, + "grad_norm": 0.8540986180305481, + "learning_rate": 9.602555003548617e-05, + "loss": 0.779, + "step": 1467 + }, + { + "epoch": 2.08, + "grad_norm": 0.8481354117393494, + "learning_rate": 9.595457771469127e-05, + "loss": 0.706, + "step": 1468 + }, + { + "epoch": 2.08, + "grad_norm": 0.8669779896736145, + "learning_rate": 9.588360539389638e-05, + "loss": 0.6772, + "step": 1469 + }, + { + "epoch": 2.08, + "grad_norm": 0.9160670638084412, + "learning_rate": 9.581263307310149e-05, + "loss": 0.7225, + "step": 1470 + }, + { + "epoch": 2.08, + "grad_norm": 0.9088666439056396, + "learning_rate": 9.57416607523066e-05, + "loss": 0.7003, + "step": 1471 + }, + { + "epoch": 2.09, + "grad_norm": 0.906645655632019, + "learning_rate": 9.567068843151172e-05, + "loss": 0.7324, + "step": 1472 + }, + { + "epoch": 2.09, + "grad_norm": 0.8714525103569031, + "learning_rate": 9.559971611071683e-05, + "loss": 0.7198, + "step": 1473 + }, + { + "epoch": 2.09, + "grad_norm": 0.8619925379753113, + "learning_rate": 9.552874378992194e-05, + "loss": 0.7415, + "step": 1474 + }, + { + "epoch": 2.09, + "grad_norm": 0.8662142157554626, + "learning_rate": 9.545777146912704e-05, + "loss": 0.7169, + "step": 1475 + }, + { + "epoch": 2.09, + "grad_norm": 0.8264342546463013, + "learning_rate": 9.538679914833216e-05, + "loss": 0.7027, + "step": 1476 + }, + { + "epoch": 2.09, + "grad_norm": 0.849160373210907, + "learning_rate": 9.531582682753727e-05, + "loss": 0.7204, + "step": 1477 + }, + { + "epoch": 2.09, + "grad_norm": 0.8109767436981201, + "learning_rate": 9.524485450674238e-05, + "loss": 0.7396, + "step": 1478 + }, + { + "epoch": 2.1, + "grad_norm": 0.8427298069000244, + "learning_rate": 9.517388218594748e-05, + "loss": 0.7111, + "step": 1479 + }, + { + "epoch": 2.1, + "grad_norm": 0.8257899284362793, + "learning_rate": 9.510290986515259e-05, + "loss": 0.6849, + "step": 1480 + }, + { + "epoch": 2.1, + "grad_norm": 0.8619416356086731, + "learning_rate": 9.50319375443577e-05, + "loss": 0.6701, + "step": 1481 + }, + { + "epoch": 2.1, + "grad_norm": 0.9152725338935852, + "learning_rate": 9.496096522356282e-05, + "loss": 0.7793, + "step": 1482 + }, + { + "epoch": 2.1, + "grad_norm": 0.9197123050689697, + "learning_rate": 9.488999290276792e-05, + "loss": 0.7291, + "step": 1483 + }, + { + "epoch": 2.1, + "grad_norm": 0.8989003896713257, + "learning_rate": 9.481902058197304e-05, + "loss": 0.733, + "step": 1484 + }, + { + "epoch": 2.1, + "grad_norm": 0.8624677062034607, + "learning_rate": 9.474804826117814e-05, + "loss": 0.7366, + "step": 1485 + }, + { + "epoch": 2.11, + "grad_norm": 0.8718342185020447, + "learning_rate": 9.467707594038326e-05, + "loss": 0.7399, + "step": 1486 + }, + { + "epoch": 2.11, + "grad_norm": 0.868829071521759, + "learning_rate": 9.460610361958836e-05, + "loss": 0.7323, + "step": 1487 + }, + { + "epoch": 2.11, + "grad_norm": 0.8415536284446716, + "learning_rate": 9.453513129879348e-05, + "loss": 0.712, + "step": 1488 + }, + { + "epoch": 2.11, + "grad_norm": 0.8465087413787842, + "learning_rate": 9.446415897799858e-05, + "loss": 0.7202, + "step": 1489 + }, + { + "epoch": 2.11, + "grad_norm": 0.8721869587898254, + "learning_rate": 9.43931866572037e-05, + "loss": 0.7269, + "step": 1490 + }, + { + "epoch": 2.11, + "grad_norm": 0.8698458671569824, + "learning_rate": 9.43222143364088e-05, + "loss": 0.7442, + "step": 1491 + }, + { + "epoch": 2.11, + "grad_norm": 0.8857313394546509, + "learning_rate": 9.425124201561392e-05, + "loss": 0.7525, + "step": 1492 + }, + { + "epoch": 2.12, + "grad_norm": 0.8833426833152771, + "learning_rate": 9.418026969481902e-05, + "loss": 0.7618, + "step": 1493 + }, + { + "epoch": 2.12, + "grad_norm": 0.8640385866165161, + "learning_rate": 9.410929737402413e-05, + "loss": 0.7094, + "step": 1494 + }, + { + "epoch": 2.12, + "grad_norm": 0.8465377688407898, + "learning_rate": 9.403832505322924e-05, + "loss": 0.7406, + "step": 1495 + }, + { + "epoch": 2.12, + "grad_norm": 0.8516689538955688, + "learning_rate": 9.396735273243436e-05, + "loss": 0.7149, + "step": 1496 + }, + { + "epoch": 2.12, + "grad_norm": 0.8319384455680847, + "learning_rate": 9.389638041163946e-05, + "loss": 0.6586, + "step": 1497 + }, + { + "epoch": 2.12, + "grad_norm": 0.8527852892875671, + "learning_rate": 9.382540809084458e-05, + "loss": 0.6629, + "step": 1498 + }, + { + "epoch": 2.12, + "grad_norm": 0.8378131985664368, + "learning_rate": 9.375443577004968e-05, + "loss": 0.704, + "step": 1499 + }, + { + "epoch": 2.13, + "grad_norm": 0.8492695689201355, + "learning_rate": 9.36834634492548e-05, + "loss": 0.6833, + "step": 1500 + }, + { + "epoch": 2.13, + "grad_norm": 0.8611241579055786, + "learning_rate": 9.36124911284599e-05, + "loss": 0.6794, + "step": 1501 + }, + { + "epoch": 2.13, + "grad_norm": 0.914234459400177, + "learning_rate": 9.354151880766502e-05, + "loss": 0.7751, + "step": 1502 + }, + { + "epoch": 2.13, + "grad_norm": 0.8970404863357544, + "learning_rate": 9.347054648687013e-05, + "loss": 0.7603, + "step": 1503 + }, + { + "epoch": 2.13, + "grad_norm": 0.8614270687103271, + "learning_rate": 9.339957416607523e-05, + "loss": 0.7352, + "step": 1504 + }, + { + "epoch": 2.13, + "grad_norm": 0.8698607683181763, + "learning_rate": 9.332860184528034e-05, + "loss": 0.7116, + "step": 1505 + }, + { + "epoch": 2.13, + "grad_norm": 0.8466779589653015, + "learning_rate": 9.325762952448546e-05, + "loss": 0.695, + "step": 1506 + }, + { + "epoch": 2.13, + "grad_norm": 0.8445769548416138, + "learning_rate": 9.318665720369057e-05, + "loss": 0.7525, + "step": 1507 + }, + { + "epoch": 2.14, + "grad_norm": 0.8695936799049377, + "learning_rate": 9.311568488289567e-05, + "loss": 0.7352, + "step": 1508 + }, + { + "epoch": 2.14, + "grad_norm": 0.8878143429756165, + "learning_rate": 9.30447125621008e-05, + "loss": 0.713, + "step": 1509 + }, + { + "epoch": 2.14, + "grad_norm": 0.8836119174957275, + "learning_rate": 9.29737402413059e-05, + "loss": 0.7132, + "step": 1510 + }, + { + "epoch": 2.14, + "grad_norm": 0.8474823236465454, + "learning_rate": 9.2902767920511e-05, + "loss": 0.6765, + "step": 1511 + }, + { + "epoch": 2.14, + "grad_norm": 0.8740355968475342, + "learning_rate": 9.283179559971612e-05, + "loss": 0.7044, + "step": 1512 + }, + { + "epoch": 2.14, + "grad_norm": 0.8775798082351685, + "learning_rate": 9.276082327892123e-05, + "loss": 0.7338, + "step": 1513 + }, + { + "epoch": 2.14, + "grad_norm": 0.8951154351234436, + "learning_rate": 9.268985095812633e-05, + "loss": 0.723, + "step": 1514 + }, + { + "epoch": 2.15, + "grad_norm": 0.891923189163208, + "learning_rate": 9.261887863733144e-05, + "loss": 0.7056, + "step": 1515 + }, + { + "epoch": 2.15, + "grad_norm": 0.8443423509597778, + "learning_rate": 9.254790631653656e-05, + "loss": 0.6884, + "step": 1516 + }, + { + "epoch": 2.15, + "grad_norm": 0.8721277713775635, + "learning_rate": 9.247693399574167e-05, + "loss": 0.6926, + "step": 1517 + }, + { + "epoch": 2.15, + "grad_norm": 0.9046376943588257, + "learning_rate": 9.240596167494677e-05, + "loss": 0.7471, + "step": 1518 + }, + { + "epoch": 2.15, + "grad_norm": 0.8587860465049744, + "learning_rate": 9.23349893541519e-05, + "loss": 0.726, + "step": 1519 + }, + { + "epoch": 2.15, + "grad_norm": 0.8803458213806152, + "learning_rate": 9.2264017033357e-05, + "loss": 0.7576, + "step": 1520 + }, + { + "epoch": 2.15, + "grad_norm": 0.8257414102554321, + "learning_rate": 9.21930447125621e-05, + "loss": 0.6852, + "step": 1521 + }, + { + "epoch": 2.16, + "grad_norm": 0.8487634658813477, + "learning_rate": 9.21220723917672e-05, + "loss": 0.7674, + "step": 1522 + }, + { + "epoch": 2.16, + "grad_norm": 0.8407074213027954, + "learning_rate": 9.205110007097233e-05, + "loss": 0.6811, + "step": 1523 + }, + { + "epoch": 2.16, + "grad_norm": 0.8839500546455383, + "learning_rate": 9.198012775017743e-05, + "loss": 0.7953, + "step": 1524 + }, + { + "epoch": 2.16, + "grad_norm": 0.875453531742096, + "learning_rate": 9.190915542938254e-05, + "loss": 0.7141, + "step": 1525 + }, + { + "epoch": 2.16, + "grad_norm": 0.8481379747390747, + "learning_rate": 9.183818310858766e-05, + "loss": 0.6424, + "step": 1526 + }, + { + "epoch": 2.16, + "grad_norm": 0.8793319463729858, + "learning_rate": 9.176721078779277e-05, + "loss": 0.6961, + "step": 1527 + }, + { + "epoch": 2.16, + "grad_norm": 0.8625543117523193, + "learning_rate": 9.169623846699787e-05, + "loss": 0.7493, + "step": 1528 + }, + { + "epoch": 2.17, + "grad_norm": 0.8540360927581787, + "learning_rate": 9.162526614620298e-05, + "loss": 0.7261, + "step": 1529 + }, + { + "epoch": 2.17, + "grad_norm": 0.8655250072479248, + "learning_rate": 9.15542938254081e-05, + "loss": 0.7124, + "step": 1530 + }, + { + "epoch": 2.17, + "grad_norm": 0.8972883224487305, + "learning_rate": 9.14833215046132e-05, + "loss": 0.7118, + "step": 1531 + }, + { + "epoch": 2.17, + "grad_norm": 0.8736087679862976, + "learning_rate": 9.141234918381832e-05, + "loss": 0.7169, + "step": 1532 + }, + { + "epoch": 2.17, + "grad_norm": 0.8996816873550415, + "learning_rate": 9.134137686302342e-05, + "loss": 0.7213, + "step": 1533 + }, + { + "epoch": 2.17, + "grad_norm": 0.8447397351264954, + "learning_rate": 9.127040454222854e-05, + "loss": 0.7168, + "step": 1534 + }, + { + "epoch": 2.17, + "grad_norm": 0.837806224822998, + "learning_rate": 9.119943222143364e-05, + "loss": 0.71, + "step": 1535 + }, + { + "epoch": 2.18, + "grad_norm": 0.8344355821609497, + "learning_rate": 9.112845990063876e-05, + "loss": 0.6721, + "step": 1536 + }, + { + "epoch": 2.18, + "grad_norm": 0.8420239090919495, + "learning_rate": 9.105748757984387e-05, + "loss": 0.6764, + "step": 1537 + }, + { + "epoch": 2.18, + "grad_norm": 0.8825182914733887, + "learning_rate": 9.098651525904898e-05, + "loss": 0.709, + "step": 1538 + }, + { + "epoch": 2.18, + "grad_norm": 0.9009390473365784, + "learning_rate": 9.091554293825408e-05, + "loss": 0.7687, + "step": 1539 + }, + { + "epoch": 2.18, + "grad_norm": 0.854705810546875, + "learning_rate": 9.08445706174592e-05, + "loss": 0.7118, + "step": 1540 + }, + { + "epoch": 2.18, + "grad_norm": 0.9011061191558838, + "learning_rate": 9.07735982966643e-05, + "loss": 0.716, + "step": 1541 + }, + { + "epoch": 2.18, + "grad_norm": 0.8979266285896301, + "learning_rate": 9.070262597586942e-05, + "loss": 0.7841, + "step": 1542 + }, + { + "epoch": 2.19, + "grad_norm": 0.9013125896453857, + "learning_rate": 9.063165365507452e-05, + "loss": 0.7402, + "step": 1543 + }, + { + "epoch": 2.19, + "grad_norm": 0.8848702907562256, + "learning_rate": 9.056068133427964e-05, + "loss": 0.7384, + "step": 1544 + }, + { + "epoch": 2.19, + "grad_norm": 0.9167879819869995, + "learning_rate": 9.048970901348474e-05, + "loss": 0.8391, + "step": 1545 + }, + { + "epoch": 2.19, + "grad_norm": 0.8656322360038757, + "learning_rate": 9.041873669268986e-05, + "loss": 0.7492, + "step": 1546 + }, + { + "epoch": 2.19, + "grad_norm": 0.842842698097229, + "learning_rate": 9.034776437189496e-05, + "loss": 0.7487, + "step": 1547 + }, + { + "epoch": 2.19, + "grad_norm": 0.8449062705039978, + "learning_rate": 9.027679205110008e-05, + "loss": 0.761, + "step": 1548 + }, + { + "epoch": 2.19, + "grad_norm": 0.8444206118583679, + "learning_rate": 9.020581973030518e-05, + "loss": 0.6761, + "step": 1549 + }, + { + "epoch": 2.2, + "grad_norm": 0.8564352989196777, + "learning_rate": 9.01348474095103e-05, + "loss": 0.693, + "step": 1550 + }, + { + "epoch": 2.2, + "grad_norm": 0.8907448053359985, + "learning_rate": 9.006387508871541e-05, + "loss": 0.7221, + "step": 1551 + }, + { + "epoch": 2.2, + "grad_norm": 0.8845468163490295, + "learning_rate": 8.999290276792052e-05, + "loss": 0.7229, + "step": 1552 + }, + { + "epoch": 2.2, + "grad_norm": 0.8686636090278625, + "learning_rate": 8.992193044712562e-05, + "loss": 0.6997, + "step": 1553 + }, + { + "epoch": 2.2, + "grad_norm": 0.9412215948104858, + "learning_rate": 8.985095812633073e-05, + "loss": 0.7125, + "step": 1554 + }, + { + "epoch": 2.2, + "grad_norm": 0.8855116963386536, + "learning_rate": 8.977998580553584e-05, + "loss": 0.7206, + "step": 1555 + }, + { + "epoch": 2.2, + "grad_norm": 0.8830530643463135, + "learning_rate": 8.970901348474096e-05, + "loss": 0.6728, + "step": 1556 + }, + { + "epoch": 2.21, + "grad_norm": 0.892914891242981, + "learning_rate": 8.963804116394606e-05, + "loss": 0.6458, + "step": 1557 + }, + { + "epoch": 2.21, + "grad_norm": 0.8819034099578857, + "learning_rate": 8.956706884315118e-05, + "loss": 0.7155, + "step": 1558 + }, + { + "epoch": 2.21, + "grad_norm": 0.8601769208908081, + "learning_rate": 8.949609652235628e-05, + "loss": 0.7252, + "step": 1559 + }, + { + "epoch": 2.21, + "grad_norm": 0.8619159460067749, + "learning_rate": 8.94251242015614e-05, + "loss": 0.7115, + "step": 1560 + }, + { + "epoch": 2.21, + "grad_norm": 0.8631980419158936, + "learning_rate": 8.935415188076651e-05, + "loss": 0.7112, + "step": 1561 + }, + { + "epoch": 2.21, + "grad_norm": 0.888449490070343, + "learning_rate": 8.928317955997162e-05, + "loss": 0.7384, + "step": 1562 + }, + { + "epoch": 2.21, + "grad_norm": 0.8786005973815918, + "learning_rate": 8.921220723917673e-05, + "loss": 0.6962, + "step": 1563 + }, + { + "epoch": 2.22, + "grad_norm": 0.891455352306366, + "learning_rate": 8.914123491838183e-05, + "loss": 0.7471, + "step": 1564 + }, + { + "epoch": 2.22, + "grad_norm": 0.8893013596534729, + "learning_rate": 8.907026259758694e-05, + "loss": 0.7321, + "step": 1565 + }, + { + "epoch": 2.22, + "grad_norm": 0.8937901854515076, + "learning_rate": 8.899929027679206e-05, + "loss": 0.712, + "step": 1566 + }, + { + "epoch": 2.22, + "grad_norm": 0.9010066986083984, + "learning_rate": 8.892831795599717e-05, + "loss": 0.742, + "step": 1567 + }, + { + "epoch": 2.22, + "grad_norm": 0.8523016571998596, + "learning_rate": 8.885734563520227e-05, + "loss": 0.6838, + "step": 1568 + }, + { + "epoch": 2.22, + "grad_norm": 0.8775461912155151, + "learning_rate": 8.87863733144074e-05, + "loss": 0.7036, + "step": 1569 + }, + { + "epoch": 2.22, + "grad_norm": 0.8605543375015259, + "learning_rate": 8.87154009936125e-05, + "loss": 0.6835, + "step": 1570 + }, + { + "epoch": 2.23, + "grad_norm": 0.8719514012336731, + "learning_rate": 8.864442867281761e-05, + "loss": 0.747, + "step": 1571 + }, + { + "epoch": 2.23, + "grad_norm": 0.8636995553970337, + "learning_rate": 8.85734563520227e-05, + "loss": 0.6874, + "step": 1572 + }, + { + "epoch": 2.23, + "grad_norm": 0.856977641582489, + "learning_rate": 8.850248403122783e-05, + "loss": 0.7234, + "step": 1573 + }, + { + "epoch": 2.23, + "grad_norm": 0.8813896775245667, + "learning_rate": 8.843151171043293e-05, + "loss": 0.6992, + "step": 1574 + }, + { + "epoch": 2.23, + "grad_norm": 0.8693534135818481, + "learning_rate": 8.836053938963804e-05, + "loss": 0.7058, + "step": 1575 + }, + { + "epoch": 2.23, + "grad_norm": 0.8914763331413269, + "learning_rate": 8.828956706884316e-05, + "loss": 0.7247, + "step": 1576 + }, + { + "epoch": 2.23, + "grad_norm": 0.8628402948379517, + "learning_rate": 8.821859474804827e-05, + "loss": 0.7046, + "step": 1577 + }, + { + "epoch": 2.24, + "grad_norm": 0.8618187308311462, + "learning_rate": 8.814762242725337e-05, + "loss": 0.7106, + "step": 1578 + }, + { + "epoch": 2.24, + "grad_norm": 0.8622534871101379, + "learning_rate": 8.807665010645848e-05, + "loss": 0.674, + "step": 1579 + }, + { + "epoch": 2.24, + "grad_norm": 0.8331353068351746, + "learning_rate": 8.80056777856636e-05, + "loss": 0.6985, + "step": 1580 + }, + { + "epoch": 2.24, + "grad_norm": 0.8842141032218933, + "learning_rate": 8.793470546486871e-05, + "loss": 0.7563, + "step": 1581 + }, + { + "epoch": 2.24, + "grad_norm": 0.8404679894447327, + "learning_rate": 8.78637331440738e-05, + "loss": 0.6946, + "step": 1582 + }, + { + "epoch": 2.24, + "grad_norm": 0.8643913269042969, + "learning_rate": 8.779276082327893e-05, + "loss": 0.6439, + "step": 1583 + }, + { + "epoch": 2.24, + "grad_norm": 0.8534083366394043, + "learning_rate": 8.772178850248403e-05, + "loss": 0.6621, + "step": 1584 + }, + { + "epoch": 2.25, + "grad_norm": 0.9061523079872131, + "learning_rate": 8.765081618168914e-05, + "loss": 0.7496, + "step": 1585 + }, + { + "epoch": 2.25, + "grad_norm": 0.881190299987793, + "learning_rate": 8.757984386089424e-05, + "loss": 0.7319, + "step": 1586 + }, + { + "epoch": 2.25, + "grad_norm": 0.8903520107269287, + "learning_rate": 8.750887154009937e-05, + "loss": 0.7292, + "step": 1587 + }, + { + "epoch": 2.25, + "grad_norm": 0.8949286341667175, + "learning_rate": 8.743789921930447e-05, + "loss": 0.7834, + "step": 1588 + }, + { + "epoch": 2.25, + "grad_norm": 0.8609988689422607, + "learning_rate": 8.736692689850958e-05, + "loss": 0.7096, + "step": 1589 + }, + { + "epoch": 2.25, + "grad_norm": 0.8585081100463867, + "learning_rate": 8.72959545777147e-05, + "loss": 0.7309, + "step": 1590 + }, + { + "epoch": 2.25, + "grad_norm": 0.8561607599258423, + "learning_rate": 8.722498225691981e-05, + "loss": 0.7206, + "step": 1591 + }, + { + "epoch": 2.26, + "grad_norm": 0.8617041707038879, + "learning_rate": 8.715400993612492e-05, + "loss": 0.7539, + "step": 1592 + }, + { + "epoch": 2.26, + "grad_norm": 0.8783171772956848, + "learning_rate": 8.708303761533002e-05, + "loss": 0.6923, + "step": 1593 + }, + { + "epoch": 2.26, + "grad_norm": 0.8528505563735962, + "learning_rate": 8.701206529453513e-05, + "loss": 0.7053, + "step": 1594 + }, + { + "epoch": 2.26, + "grad_norm": 0.8965705633163452, + "learning_rate": 8.694109297374024e-05, + "loss": 0.7004, + "step": 1595 + }, + { + "epoch": 2.26, + "grad_norm": 0.8787754774093628, + "learning_rate": 8.687012065294536e-05, + "loss": 0.7189, + "step": 1596 + }, + { + "epoch": 2.26, + "grad_norm": 0.9146087169647217, + "learning_rate": 8.679914833215047e-05, + "loss": 0.6916, + "step": 1597 + }, + { + "epoch": 2.26, + "grad_norm": 0.931847870349884, + "learning_rate": 8.672817601135558e-05, + "loss": 0.7567, + "step": 1598 + }, + { + "epoch": 2.27, + "grad_norm": 0.9045712351799011, + "learning_rate": 8.665720369056068e-05, + "loss": 0.755, + "step": 1599 + }, + { + "epoch": 2.27, + "grad_norm": 0.8855098485946655, + "learning_rate": 8.65862313697658e-05, + "loss": 0.7277, + "step": 1600 + }, + { + "epoch": 2.27, + "grad_norm": 0.8935732245445251, + "learning_rate": 8.651525904897091e-05, + "loss": 0.7153, + "step": 1601 + }, + { + "epoch": 2.27, + "grad_norm": 0.9022087454795837, + "learning_rate": 8.644428672817602e-05, + "loss": 0.735, + "step": 1602 + }, + { + "epoch": 2.27, + "grad_norm": 0.8693438172340393, + "learning_rate": 8.637331440738112e-05, + "loss": 0.7232, + "step": 1603 + }, + { + "epoch": 2.27, + "grad_norm": 0.85861736536026, + "learning_rate": 8.630234208658625e-05, + "loss": 0.7183, + "step": 1604 + }, + { + "epoch": 2.27, + "grad_norm": 0.8743335604667664, + "learning_rate": 8.623136976579135e-05, + "loss": 0.7973, + "step": 1605 + }, + { + "epoch": 2.28, + "grad_norm": 0.8646829128265381, + "learning_rate": 8.616039744499646e-05, + "loss": 0.7171, + "step": 1606 + }, + { + "epoch": 2.28, + "grad_norm": 0.8387510180473328, + "learning_rate": 8.608942512420156e-05, + "loss": 0.7389, + "step": 1607 + }, + { + "epoch": 2.28, + "grad_norm": 0.8693937063217163, + "learning_rate": 8.601845280340668e-05, + "loss": 0.7036, + "step": 1608 + }, + { + "epoch": 2.28, + "grad_norm": 0.8225006461143494, + "learning_rate": 8.594748048261178e-05, + "loss": 0.7298, + "step": 1609 + }, + { + "epoch": 2.28, + "grad_norm": 0.9259347319602966, + "learning_rate": 8.58765081618169e-05, + "loss": 0.7549, + "step": 1610 + }, + { + "epoch": 2.28, + "grad_norm": 0.9134079813957214, + "learning_rate": 8.5805535841022e-05, + "loss": 0.7127, + "step": 1611 + }, + { + "epoch": 2.28, + "grad_norm": 0.9061034917831421, + "learning_rate": 8.573456352022712e-05, + "loss": 0.7162, + "step": 1612 + }, + { + "epoch": 2.29, + "grad_norm": 0.9124405384063721, + "learning_rate": 8.566359119943222e-05, + "loss": 0.7308, + "step": 1613 + }, + { + "epoch": 2.29, + "grad_norm": 0.8995393514633179, + "learning_rate": 8.559261887863733e-05, + "loss": 0.7131, + "step": 1614 + }, + { + "epoch": 2.29, + "grad_norm": 0.9184269905090332, + "learning_rate": 8.552164655784245e-05, + "loss": 0.7235, + "step": 1615 + }, + { + "epoch": 2.29, + "grad_norm": 0.8481336832046509, + "learning_rate": 8.545067423704756e-05, + "loss": 0.6814, + "step": 1616 + }, + { + "epoch": 2.29, + "grad_norm": 0.9017961025238037, + "learning_rate": 8.537970191625266e-05, + "loss": 0.6856, + "step": 1617 + }, + { + "epoch": 2.29, + "grad_norm": 0.8780509829521179, + "learning_rate": 8.530872959545777e-05, + "loss": 0.7255, + "step": 1618 + }, + { + "epoch": 2.29, + "grad_norm": 0.8859030604362488, + "learning_rate": 8.523775727466288e-05, + "loss": 0.7343, + "step": 1619 + }, + { + "epoch": 2.3, + "grad_norm": 0.8603264689445496, + "learning_rate": 8.5166784953868e-05, + "loss": 0.7088, + "step": 1620 + }, + { + "epoch": 2.3, + "grad_norm": 0.8859502077102661, + "learning_rate": 8.509581263307311e-05, + "loss": 0.7264, + "step": 1621 + }, + { + "epoch": 2.3, + "grad_norm": 0.8135156631469727, + "learning_rate": 8.502484031227822e-05, + "loss": 0.6724, + "step": 1622 + }, + { + "epoch": 2.3, + "grad_norm": 0.8489874005317688, + "learning_rate": 8.495386799148333e-05, + "loss": 0.6948, + "step": 1623 + }, + { + "epoch": 2.3, + "grad_norm": 0.8707240223884583, + "learning_rate": 8.488289567068843e-05, + "loss": 0.742, + "step": 1624 + }, + { + "epoch": 2.3, + "grad_norm": 0.8624871373176575, + "learning_rate": 8.481192334989355e-05, + "loss": 0.6816, + "step": 1625 + }, + { + "epoch": 2.3, + "grad_norm": 0.8828703165054321, + "learning_rate": 8.474095102909866e-05, + "loss": 0.7385, + "step": 1626 + }, + { + "epoch": 2.3, + "grad_norm": 0.8730260133743286, + "learning_rate": 8.466997870830377e-05, + "loss": 0.7126, + "step": 1627 + }, + { + "epoch": 2.31, + "grad_norm": 0.8839560747146606, + "learning_rate": 8.459900638750887e-05, + "loss": 0.7272, + "step": 1628 + }, + { + "epoch": 2.31, + "grad_norm": 0.8795418739318848, + "learning_rate": 8.4528034066714e-05, + "loss": 0.6953, + "step": 1629 + }, + { + "epoch": 2.31, + "grad_norm": 0.8948290348052979, + "learning_rate": 8.44570617459191e-05, + "loss": 0.7241, + "step": 1630 + }, + { + "epoch": 2.31, + "grad_norm": 0.8926292061805725, + "learning_rate": 8.438608942512421e-05, + "loss": 0.6998, + "step": 1631 + }, + { + "epoch": 2.31, + "grad_norm": 0.9082595705986023, + "learning_rate": 8.431511710432931e-05, + "loss": 0.7715, + "step": 1632 + }, + { + "epoch": 2.31, + "grad_norm": 0.9164185523986816, + "learning_rate": 8.424414478353443e-05, + "loss": 0.7412, + "step": 1633 + }, + { + "epoch": 2.31, + "grad_norm": 0.8599331378936768, + "learning_rate": 8.417317246273953e-05, + "loss": 0.7327, + "step": 1634 + }, + { + "epoch": 2.32, + "grad_norm": 0.8912233114242554, + "learning_rate": 8.410220014194465e-05, + "loss": 0.7073, + "step": 1635 + }, + { + "epoch": 2.32, + "grad_norm": 0.878819465637207, + "learning_rate": 8.403122782114976e-05, + "loss": 0.6973, + "step": 1636 + }, + { + "epoch": 2.32, + "grad_norm": 0.8971090912818909, + "learning_rate": 8.396025550035487e-05, + "loss": 0.7356, + "step": 1637 + }, + { + "epoch": 2.32, + "grad_norm": 0.9173135757446289, + "learning_rate": 8.388928317955997e-05, + "loss": 0.7359, + "step": 1638 + }, + { + "epoch": 2.32, + "grad_norm": 0.8811411261558533, + "learning_rate": 8.381831085876508e-05, + "loss": 0.6925, + "step": 1639 + }, + { + "epoch": 2.32, + "grad_norm": 0.8744279146194458, + "learning_rate": 8.37473385379702e-05, + "loss": 0.6386, + "step": 1640 + }, + { + "epoch": 2.32, + "grad_norm": 0.8834649324417114, + "learning_rate": 8.367636621717531e-05, + "loss": 0.748, + "step": 1641 + }, + { + "epoch": 2.33, + "grad_norm": 0.840594470500946, + "learning_rate": 8.360539389638041e-05, + "loss": 0.6875, + "step": 1642 + }, + { + "epoch": 2.33, + "grad_norm": 0.896140992641449, + "learning_rate": 8.353442157558553e-05, + "loss": 0.7505, + "step": 1643 + }, + { + "epoch": 2.33, + "grad_norm": 0.8742374181747437, + "learning_rate": 8.346344925479063e-05, + "loss": 0.7154, + "step": 1644 + }, + { + "epoch": 2.33, + "grad_norm": 0.8660913705825806, + "learning_rate": 8.339247693399575e-05, + "loss": 0.7332, + "step": 1645 + }, + { + "epoch": 2.33, + "grad_norm": 0.8654317855834961, + "learning_rate": 8.332150461320084e-05, + "loss": 0.7588, + "step": 1646 + }, + { + "epoch": 2.33, + "grad_norm": 0.8597747087478638, + "learning_rate": 8.325053229240597e-05, + "loss": 0.7629, + "step": 1647 + }, + { + "epoch": 2.33, + "grad_norm": 0.9062843322753906, + "learning_rate": 8.317955997161107e-05, + "loss": 0.8117, + "step": 1648 + }, + { + "epoch": 2.34, + "grad_norm": 0.8763964176177979, + "learning_rate": 8.310858765081618e-05, + "loss": 0.6865, + "step": 1649 + }, + { + "epoch": 2.34, + "grad_norm": 0.8947573304176331, + "learning_rate": 8.30376153300213e-05, + "loss": 0.7502, + "step": 1650 + }, + { + "epoch": 2.34, + "grad_norm": 0.9027217030525208, + "learning_rate": 8.296664300922641e-05, + "loss": 0.7362, + "step": 1651 + }, + { + "epoch": 2.34, + "grad_norm": 0.9003787040710449, + "learning_rate": 8.289567068843152e-05, + "loss": 0.7266, + "step": 1652 + }, + { + "epoch": 2.34, + "grad_norm": 0.8940318822860718, + "learning_rate": 8.282469836763662e-05, + "loss": 0.6746, + "step": 1653 + }, + { + "epoch": 2.34, + "grad_norm": 0.9138883352279663, + "learning_rate": 8.275372604684173e-05, + "loss": 0.7553, + "step": 1654 + }, + { + "epoch": 2.34, + "grad_norm": 0.8982981443405151, + "learning_rate": 8.268275372604685e-05, + "loss": 0.7519, + "step": 1655 + }, + { + "epoch": 2.35, + "grad_norm": 0.8930261731147766, + "learning_rate": 8.261178140525196e-05, + "loss": 0.7216, + "step": 1656 + }, + { + "epoch": 2.35, + "grad_norm": 0.8809303045272827, + "learning_rate": 8.254080908445706e-05, + "loss": 0.7515, + "step": 1657 + }, + { + "epoch": 2.35, + "grad_norm": 0.8962745070457458, + "learning_rate": 8.246983676366218e-05, + "loss": 0.7273, + "step": 1658 + }, + { + "epoch": 2.35, + "grad_norm": 0.8883169889450073, + "learning_rate": 8.239886444286728e-05, + "loss": 0.7156, + "step": 1659 + }, + { + "epoch": 2.35, + "grad_norm": 0.9205072522163391, + "learning_rate": 8.23278921220724e-05, + "loss": 0.7682, + "step": 1660 + }, + { + "epoch": 2.35, + "grad_norm": 0.8944506645202637, + "learning_rate": 8.225691980127751e-05, + "loss": 0.7306, + "step": 1661 + }, + { + "epoch": 2.35, + "grad_norm": 0.866554319858551, + "learning_rate": 8.218594748048262e-05, + "loss": 0.6766, + "step": 1662 + }, + { + "epoch": 2.36, + "grad_norm": 0.8790395855903625, + "learning_rate": 8.211497515968772e-05, + "loss": 0.7525, + "step": 1663 + }, + { + "epoch": 2.36, + "grad_norm": 0.8888643980026245, + "learning_rate": 8.204400283889283e-05, + "loss": 0.7373, + "step": 1664 + }, + { + "epoch": 2.36, + "grad_norm": 0.9181011915206909, + "learning_rate": 8.197303051809795e-05, + "loss": 0.7151, + "step": 1665 + }, + { + "epoch": 2.36, + "grad_norm": 0.8800945281982422, + "learning_rate": 8.190205819730306e-05, + "loss": 0.7438, + "step": 1666 + }, + { + "epoch": 2.36, + "grad_norm": 0.9163196086883545, + "learning_rate": 8.183108587650816e-05, + "loss": 0.7177, + "step": 1667 + }, + { + "epoch": 2.36, + "grad_norm": 0.8852064609527588, + "learning_rate": 8.176011355571328e-05, + "loss": 0.7321, + "step": 1668 + }, + { + "epoch": 2.36, + "grad_norm": 0.8783362507820129, + "learning_rate": 8.168914123491838e-05, + "loss": 0.7223, + "step": 1669 + }, + { + "epoch": 2.37, + "grad_norm": 0.8974859714508057, + "learning_rate": 8.16181689141235e-05, + "loss": 0.6787, + "step": 1670 + }, + { + "epoch": 2.37, + "grad_norm": 0.9229791760444641, + "learning_rate": 8.15471965933286e-05, + "loss": 0.76, + "step": 1671 + }, + { + "epoch": 2.37, + "grad_norm": 0.8831940293312073, + "learning_rate": 8.147622427253372e-05, + "loss": 0.6959, + "step": 1672 + }, + { + "epoch": 2.37, + "grad_norm": 0.9193075895309448, + "learning_rate": 8.140525195173882e-05, + "loss": 0.6838, + "step": 1673 + }, + { + "epoch": 2.37, + "grad_norm": 0.9039551615715027, + "learning_rate": 8.133427963094393e-05, + "loss": 0.7676, + "step": 1674 + }, + { + "epoch": 2.37, + "grad_norm": 0.8817799091339111, + "learning_rate": 8.126330731014905e-05, + "loss": 0.7223, + "step": 1675 + }, + { + "epoch": 2.37, + "grad_norm": 0.8838679194450378, + "learning_rate": 8.119233498935416e-05, + "loss": 0.7361, + "step": 1676 + }, + { + "epoch": 2.38, + "grad_norm": 0.9286802411079407, + "learning_rate": 8.112136266855926e-05, + "loss": 0.8229, + "step": 1677 + }, + { + "epoch": 2.38, + "grad_norm": 0.877018392086029, + "learning_rate": 8.105039034776437e-05, + "loss": 0.7307, + "step": 1678 + }, + { + "epoch": 2.38, + "grad_norm": 0.8911111950874329, + "learning_rate": 8.097941802696948e-05, + "loss": 0.7706, + "step": 1679 + }, + { + "epoch": 2.38, + "grad_norm": 0.8774330615997314, + "learning_rate": 8.09084457061746e-05, + "loss": 0.7347, + "step": 1680 + }, + { + "epoch": 2.38, + "grad_norm": 0.8946451544761658, + "learning_rate": 8.083747338537971e-05, + "loss": 0.7148, + "step": 1681 + }, + { + "epoch": 2.38, + "grad_norm": 0.9081972241401672, + "learning_rate": 8.076650106458482e-05, + "loss": 0.7809, + "step": 1682 + }, + { + "epoch": 2.38, + "grad_norm": 0.8362038731575012, + "learning_rate": 8.069552874378993e-05, + "loss": 0.7048, + "step": 1683 + }, + { + "epoch": 2.39, + "grad_norm": 0.8865955471992493, + "learning_rate": 8.062455642299503e-05, + "loss": 0.7437, + "step": 1684 + }, + { + "epoch": 2.39, + "grad_norm": 0.9173011779785156, + "learning_rate": 8.055358410220015e-05, + "loss": 0.7158, + "step": 1685 + }, + { + "epoch": 2.39, + "grad_norm": 0.8824982047080994, + "learning_rate": 8.048261178140526e-05, + "loss": 0.7485, + "step": 1686 + }, + { + "epoch": 2.39, + "grad_norm": 0.8951696753501892, + "learning_rate": 8.041163946061037e-05, + "loss": 0.7133, + "step": 1687 + }, + { + "epoch": 2.39, + "grad_norm": 0.8572990298271179, + "learning_rate": 8.034066713981547e-05, + "loss": 0.7082, + "step": 1688 + }, + { + "epoch": 2.39, + "grad_norm": 0.8780161738395691, + "learning_rate": 8.02696948190206e-05, + "loss": 0.6906, + "step": 1689 + }, + { + "epoch": 2.39, + "grad_norm": 0.8812801241874695, + "learning_rate": 8.01987224982257e-05, + "loss": 0.7179, + "step": 1690 + }, + { + "epoch": 2.4, + "grad_norm": 0.8629257082939148, + "learning_rate": 8.012775017743081e-05, + "loss": 0.6859, + "step": 1691 + }, + { + "epoch": 2.4, + "grad_norm": 0.8868771195411682, + "learning_rate": 8.005677785663591e-05, + "loss": 0.7254, + "step": 1692 + }, + { + "epoch": 2.4, + "grad_norm": 0.8882796764373779, + "learning_rate": 7.998580553584103e-05, + "loss": 0.7425, + "step": 1693 + }, + { + "epoch": 2.4, + "grad_norm": 0.9046310782432556, + "learning_rate": 7.991483321504613e-05, + "loss": 0.7593, + "step": 1694 + }, + { + "epoch": 2.4, + "grad_norm": 0.9165465831756592, + "learning_rate": 7.984386089425125e-05, + "loss": 0.7138, + "step": 1695 + }, + { + "epoch": 2.4, + "grad_norm": 0.8907314538955688, + "learning_rate": 7.977288857345636e-05, + "loss": 0.734, + "step": 1696 + }, + { + "epoch": 2.4, + "grad_norm": 0.9012109041213989, + "learning_rate": 7.970191625266147e-05, + "loss": 0.7136, + "step": 1697 + }, + { + "epoch": 2.41, + "grad_norm": 0.8788906335830688, + "learning_rate": 7.963094393186657e-05, + "loss": 0.7005, + "step": 1698 + }, + { + "epoch": 2.41, + "grad_norm": 0.9376303553581238, + "learning_rate": 7.955997161107168e-05, + "loss": 0.7704, + "step": 1699 + }, + { + "epoch": 2.41, + "grad_norm": 0.8864246606826782, + "learning_rate": 7.94889992902768e-05, + "loss": 0.723, + "step": 1700 + }, + { + "epoch": 2.41, + "grad_norm": 0.9175934791564941, + "learning_rate": 7.941802696948191e-05, + "loss": 0.744, + "step": 1701 + }, + { + "epoch": 2.41, + "grad_norm": 0.8643361926078796, + "learning_rate": 7.934705464868701e-05, + "loss": 0.7499, + "step": 1702 + }, + { + "epoch": 2.41, + "grad_norm": 0.901351809501648, + "learning_rate": 7.927608232789212e-05, + "loss": 0.7667, + "step": 1703 + }, + { + "epoch": 2.41, + "grad_norm": 0.8338555693626404, + "learning_rate": 7.920511000709723e-05, + "loss": 0.6274, + "step": 1704 + }, + { + "epoch": 2.42, + "grad_norm": 0.8955431580543518, + "learning_rate": 7.913413768630235e-05, + "loss": 0.7669, + "step": 1705 + }, + { + "epoch": 2.42, + "grad_norm": 0.8964597582817078, + "learning_rate": 7.906316536550745e-05, + "loss": 0.699, + "step": 1706 + }, + { + "epoch": 2.42, + "grad_norm": 0.8782421350479126, + "learning_rate": 7.899219304471257e-05, + "loss": 0.7406, + "step": 1707 + }, + { + "epoch": 2.42, + "grad_norm": 0.9423942565917969, + "learning_rate": 7.892122072391767e-05, + "loss": 0.7557, + "step": 1708 + }, + { + "epoch": 2.42, + "grad_norm": 0.8742157816886902, + "learning_rate": 7.885024840312278e-05, + "loss": 0.6471, + "step": 1709 + }, + { + "epoch": 2.42, + "grad_norm": 0.9231082201004028, + "learning_rate": 7.87792760823279e-05, + "loss": 0.7049, + "step": 1710 + }, + { + "epoch": 2.42, + "grad_norm": 0.9250949025154114, + "learning_rate": 7.870830376153301e-05, + "loss": 0.7393, + "step": 1711 + }, + { + "epoch": 2.43, + "grad_norm": 0.8757654428482056, + "learning_rate": 7.863733144073812e-05, + "loss": 0.7057, + "step": 1712 + }, + { + "epoch": 2.43, + "grad_norm": 0.8953589200973511, + "learning_rate": 7.856635911994322e-05, + "loss": 0.7286, + "step": 1713 + }, + { + "epoch": 2.43, + "grad_norm": 0.9081451296806335, + "learning_rate": 7.849538679914833e-05, + "loss": 0.7699, + "step": 1714 + }, + { + "epoch": 2.43, + "grad_norm": 0.8773189783096313, + "learning_rate": 7.842441447835345e-05, + "loss": 0.763, + "step": 1715 + }, + { + "epoch": 2.43, + "grad_norm": 0.8770549297332764, + "learning_rate": 7.835344215755856e-05, + "loss": 0.7245, + "step": 1716 + }, + { + "epoch": 2.43, + "grad_norm": 0.9066706895828247, + "learning_rate": 7.828246983676366e-05, + "loss": 0.7746, + "step": 1717 + }, + { + "epoch": 2.43, + "grad_norm": 0.901549756526947, + "learning_rate": 7.821149751596878e-05, + "loss": 0.7526, + "step": 1718 + }, + { + "epoch": 2.44, + "grad_norm": 0.894270122051239, + "learning_rate": 7.814052519517388e-05, + "loss": 0.7267, + "step": 1719 + }, + { + "epoch": 2.44, + "grad_norm": 0.9308816194534302, + "learning_rate": 7.8069552874379e-05, + "loss": 0.7116, + "step": 1720 + }, + { + "epoch": 2.44, + "grad_norm": 0.8835683465003967, + "learning_rate": 7.799858055358411e-05, + "loss": 0.726, + "step": 1721 + }, + { + "epoch": 2.44, + "grad_norm": 0.8589925169944763, + "learning_rate": 7.792760823278922e-05, + "loss": 0.7438, + "step": 1722 + }, + { + "epoch": 2.44, + "grad_norm": 0.910952091217041, + "learning_rate": 7.785663591199432e-05, + "loss": 0.7553, + "step": 1723 + }, + { + "epoch": 2.44, + "grad_norm": 0.8601446747779846, + "learning_rate": 7.778566359119943e-05, + "loss": 0.7107, + "step": 1724 + }, + { + "epoch": 2.44, + "grad_norm": 0.8741260170936584, + "learning_rate": 7.771469127040455e-05, + "loss": 0.7428, + "step": 1725 + }, + { + "epoch": 2.45, + "grad_norm": 0.9290738701820374, + "learning_rate": 7.764371894960966e-05, + "loss": 0.7675, + "step": 1726 + }, + { + "epoch": 2.45, + "grad_norm": 0.8710927963256836, + "learning_rate": 7.757274662881476e-05, + "loss": 0.6856, + "step": 1727 + }, + { + "epoch": 2.45, + "grad_norm": 0.9226647615432739, + "learning_rate": 7.750177430801989e-05, + "loss": 0.8229, + "step": 1728 + }, + { + "epoch": 2.45, + "grad_norm": 0.8699370622634888, + "learning_rate": 7.743080198722498e-05, + "loss": 0.7268, + "step": 1729 + }, + { + "epoch": 2.45, + "grad_norm": 0.8959556221961975, + "learning_rate": 7.73598296664301e-05, + "loss": 0.7698, + "step": 1730 + }, + { + "epoch": 2.45, + "grad_norm": 0.8745953440666199, + "learning_rate": 7.72888573456352e-05, + "loss": 0.7181, + "step": 1731 + }, + { + "epoch": 2.45, + "grad_norm": 0.8749833703041077, + "learning_rate": 7.721788502484032e-05, + "loss": 0.792, + "step": 1732 + }, + { + "epoch": 2.46, + "grad_norm": 0.9342421889305115, + "learning_rate": 7.714691270404542e-05, + "loss": 0.7907, + "step": 1733 + }, + { + "epoch": 2.46, + "grad_norm": 0.8828331232070923, + "learning_rate": 7.707594038325053e-05, + "loss": 0.708, + "step": 1734 + }, + { + "epoch": 2.46, + "grad_norm": 0.8733470439910889, + "learning_rate": 7.700496806245565e-05, + "loss": 0.7326, + "step": 1735 + }, + { + "epoch": 2.46, + "grad_norm": 0.9026939272880554, + "learning_rate": 7.693399574166076e-05, + "loss": 0.7149, + "step": 1736 + }, + { + "epoch": 2.46, + "grad_norm": 0.870780348777771, + "learning_rate": 7.686302342086586e-05, + "loss": 0.745, + "step": 1737 + }, + { + "epoch": 2.46, + "grad_norm": 0.8790858387947083, + "learning_rate": 7.679205110007097e-05, + "loss": 0.7532, + "step": 1738 + }, + { + "epoch": 2.46, + "grad_norm": 0.8772610425949097, + "learning_rate": 7.672107877927608e-05, + "loss": 0.6456, + "step": 1739 + }, + { + "epoch": 2.47, + "grad_norm": 0.9049152731895447, + "learning_rate": 7.66501064584812e-05, + "loss": 0.7901, + "step": 1740 + }, + { + "epoch": 2.47, + "grad_norm": 0.8748606443405151, + "learning_rate": 7.657913413768631e-05, + "loss": 0.7347, + "step": 1741 + }, + { + "epoch": 2.47, + "grad_norm": 0.8891382813453674, + "learning_rate": 7.650816181689141e-05, + "loss": 0.6857, + "step": 1742 + }, + { + "epoch": 2.47, + "grad_norm": 0.9277533292770386, + "learning_rate": 7.643718949609652e-05, + "loss": 0.7585, + "step": 1743 + }, + { + "epoch": 2.47, + "grad_norm": 0.8965739011764526, + "learning_rate": 7.636621717530163e-05, + "loss": 0.7177, + "step": 1744 + }, + { + "epoch": 2.47, + "grad_norm": 0.8912781476974487, + "learning_rate": 7.629524485450675e-05, + "loss": 0.7499, + "step": 1745 + }, + { + "epoch": 2.47, + "grad_norm": 0.925321102142334, + "learning_rate": 7.622427253371186e-05, + "loss": 0.7524, + "step": 1746 + }, + { + "epoch": 2.47, + "grad_norm": 0.888886570930481, + "learning_rate": 7.615330021291697e-05, + "loss": 0.7251, + "step": 1747 + }, + { + "epoch": 2.48, + "grad_norm": 0.8739018440246582, + "learning_rate": 7.608232789212207e-05, + "loss": 0.7421, + "step": 1748 + }, + { + "epoch": 2.48, + "grad_norm": 0.8653773665428162, + "learning_rate": 7.601135557132718e-05, + "loss": 0.7121, + "step": 1749 + }, + { + "epoch": 2.48, + "grad_norm": 0.9399885535240173, + "learning_rate": 7.59403832505323e-05, + "loss": 0.8104, + "step": 1750 + }, + { + "epoch": 2.48, + "grad_norm": 0.8935320377349854, + "learning_rate": 7.586941092973741e-05, + "loss": 0.7285, + "step": 1751 + }, + { + "epoch": 2.48, + "grad_norm": 0.8893241286277771, + "learning_rate": 7.579843860894251e-05, + "loss": 0.711, + "step": 1752 + }, + { + "epoch": 2.48, + "grad_norm": 0.8903502225875854, + "learning_rate": 7.572746628814764e-05, + "loss": 0.74, + "step": 1753 + }, + { + "epoch": 2.48, + "grad_norm": 0.8928572535514832, + "learning_rate": 7.565649396735273e-05, + "loss": 0.7333, + "step": 1754 + }, + { + "epoch": 2.49, + "grad_norm": 0.8857137560844421, + "learning_rate": 7.558552164655785e-05, + "loss": 0.7382, + "step": 1755 + }, + { + "epoch": 2.49, + "grad_norm": 0.9179412722587585, + "learning_rate": 7.551454932576295e-05, + "loss": 0.7226, + "step": 1756 + }, + { + "epoch": 2.49, + "grad_norm": 0.9129919409751892, + "learning_rate": 7.544357700496807e-05, + "loss": 0.7687, + "step": 1757 + }, + { + "epoch": 2.49, + "grad_norm": 0.9090712666511536, + "learning_rate": 7.537260468417317e-05, + "loss": 0.7881, + "step": 1758 + }, + { + "epoch": 2.49, + "grad_norm": 0.9000692963600159, + "learning_rate": 7.530163236337828e-05, + "loss": 0.7255, + "step": 1759 + }, + { + "epoch": 2.49, + "grad_norm": 0.8983575701713562, + "learning_rate": 7.52306600425834e-05, + "loss": 0.7276, + "step": 1760 + }, + { + "epoch": 2.49, + "grad_norm": 0.9295850396156311, + "learning_rate": 7.515968772178851e-05, + "loss": 0.7576, + "step": 1761 + }, + { + "epoch": 2.5, + "grad_norm": 0.8923923373222351, + "learning_rate": 7.508871540099361e-05, + "loss": 0.7553, + "step": 1762 + }, + { + "epoch": 2.5, + "grad_norm": 0.9035564064979553, + "learning_rate": 7.501774308019872e-05, + "loss": 0.757, + "step": 1763 + }, + { + "epoch": 2.5, + "grad_norm": 0.8981541991233826, + "learning_rate": 7.494677075940383e-05, + "loss": 0.7188, + "step": 1764 + }, + { + "epoch": 2.5, + "grad_norm": 0.9119907021522522, + "learning_rate": 7.487579843860895e-05, + "loss": 0.73, + "step": 1765 + }, + { + "epoch": 2.5, + "grad_norm": 0.9041171669960022, + "learning_rate": 7.480482611781405e-05, + "loss": 0.7081, + "step": 1766 + }, + { + "epoch": 2.5, + "grad_norm": 0.8893494606018066, + "learning_rate": 7.473385379701917e-05, + "loss": 0.7115, + "step": 1767 + }, + { + "epoch": 2.5, + "grad_norm": 0.9286924004554749, + "learning_rate": 7.466288147622427e-05, + "loss": 0.7761, + "step": 1768 + }, + { + "epoch": 2.51, + "grad_norm": 0.9019243121147156, + "learning_rate": 7.459190915542938e-05, + "loss": 0.6966, + "step": 1769 + }, + { + "epoch": 2.51, + "grad_norm": 0.88730788230896, + "learning_rate": 7.45209368346345e-05, + "loss": 0.6791, + "step": 1770 + }, + { + "epoch": 2.51, + "grad_norm": 0.9363870620727539, + "learning_rate": 7.444996451383961e-05, + "loss": 0.7713, + "step": 1771 + }, + { + "epoch": 2.51, + "grad_norm": 0.8667078614234924, + "learning_rate": 7.437899219304472e-05, + "loss": 0.7231, + "step": 1772 + }, + { + "epoch": 2.51, + "grad_norm": 0.91669100522995, + "learning_rate": 7.430801987224982e-05, + "loss": 0.7306, + "step": 1773 + }, + { + "epoch": 2.51, + "grad_norm": 0.9173486828804016, + "learning_rate": 7.423704755145493e-05, + "loss": 0.714, + "step": 1774 + }, + { + "epoch": 2.51, + "grad_norm": 0.931074321269989, + "learning_rate": 7.416607523066005e-05, + "loss": 0.7594, + "step": 1775 + }, + { + "epoch": 2.52, + "grad_norm": 0.8770849704742432, + "learning_rate": 7.409510290986516e-05, + "loss": 0.7178, + "step": 1776 + }, + { + "epoch": 2.52, + "grad_norm": 0.9106402397155762, + "learning_rate": 7.402413058907026e-05, + "loss": 0.732, + "step": 1777 + }, + { + "epoch": 2.52, + "grad_norm": 0.9002892374992371, + "learning_rate": 7.395315826827539e-05, + "loss": 0.7282, + "step": 1778 + }, + { + "epoch": 2.52, + "grad_norm": 0.9161092638969421, + "learning_rate": 7.388218594748048e-05, + "loss": 0.7786, + "step": 1779 + }, + { + "epoch": 2.52, + "grad_norm": 0.9152305126190186, + "learning_rate": 7.38112136266856e-05, + "loss": 0.7226, + "step": 1780 + }, + { + "epoch": 2.52, + "grad_norm": 0.8772377371788025, + "learning_rate": 7.374024130589071e-05, + "loss": 0.7233, + "step": 1781 + }, + { + "epoch": 2.52, + "grad_norm": 0.9021669030189514, + "learning_rate": 7.366926898509582e-05, + "loss": 0.7336, + "step": 1782 + }, + { + "epoch": 2.53, + "grad_norm": 0.8629419207572937, + "learning_rate": 7.359829666430092e-05, + "loss": 0.7086, + "step": 1783 + }, + { + "epoch": 2.53, + "grad_norm": 0.8985278010368347, + "learning_rate": 7.352732434350604e-05, + "loss": 0.7495, + "step": 1784 + }, + { + "epoch": 2.53, + "grad_norm": 0.8771053552627563, + "learning_rate": 7.345635202271115e-05, + "loss": 0.7, + "step": 1785 + }, + { + "epoch": 2.53, + "grad_norm": 0.8981669545173645, + "learning_rate": 7.338537970191626e-05, + "loss": 0.6897, + "step": 1786 + }, + { + "epoch": 2.53, + "grad_norm": 0.9112007021903992, + "learning_rate": 7.331440738112136e-05, + "loss": 0.7408, + "step": 1787 + }, + { + "epoch": 2.53, + "grad_norm": 0.9054397940635681, + "learning_rate": 7.324343506032647e-05, + "loss": 0.7054, + "step": 1788 + }, + { + "epoch": 2.53, + "grad_norm": 0.869867205619812, + "learning_rate": 7.317246273953159e-05, + "loss": 0.6891, + "step": 1789 + }, + { + "epoch": 2.54, + "grad_norm": 0.90545654296875, + "learning_rate": 7.31014904187367e-05, + "loss": 0.7293, + "step": 1790 + }, + { + "epoch": 2.54, + "grad_norm": 0.9081699848175049, + "learning_rate": 7.30305180979418e-05, + "loss": 0.7445, + "step": 1791 + }, + { + "epoch": 2.54, + "grad_norm": 0.9117109775543213, + "learning_rate": 7.295954577714692e-05, + "loss": 0.7802, + "step": 1792 + }, + { + "epoch": 2.54, + "grad_norm": 0.9705706834793091, + "learning_rate": 7.288857345635202e-05, + "loss": 0.7802, + "step": 1793 + }, + { + "epoch": 2.54, + "grad_norm": 0.9153757095336914, + "learning_rate": 7.281760113555714e-05, + "loss": 0.7444, + "step": 1794 + }, + { + "epoch": 2.54, + "grad_norm": 0.8785500526428223, + "learning_rate": 7.274662881476223e-05, + "loss": 0.6899, + "step": 1795 + }, + { + "epoch": 2.54, + "grad_norm": 0.9095218777656555, + "learning_rate": 7.267565649396736e-05, + "loss": 0.7234, + "step": 1796 + }, + { + "epoch": 2.55, + "grad_norm": 0.8905136585235596, + "learning_rate": 7.260468417317246e-05, + "loss": 0.7169, + "step": 1797 + }, + { + "epoch": 2.55, + "grad_norm": 0.9118934869766235, + "learning_rate": 7.253371185237757e-05, + "loss": 0.7301, + "step": 1798 + }, + { + "epoch": 2.55, + "grad_norm": 0.9225103259086609, + "learning_rate": 7.246273953158269e-05, + "loss": 0.798, + "step": 1799 + }, + { + "epoch": 2.55, + "grad_norm": 0.8873489499092102, + "learning_rate": 7.23917672107878e-05, + "loss": 0.7378, + "step": 1800 + }, + { + "epoch": 2.55, + "grad_norm": 0.8982245922088623, + "learning_rate": 7.232079488999291e-05, + "loss": 0.7738, + "step": 1801 + }, + { + "epoch": 2.55, + "grad_norm": 0.8934197425842285, + "learning_rate": 7.224982256919801e-05, + "loss": 0.6641, + "step": 1802 + }, + { + "epoch": 2.55, + "grad_norm": 0.9242858290672302, + "learning_rate": 7.217885024840312e-05, + "loss": 0.7361, + "step": 1803 + }, + { + "epoch": 2.56, + "grad_norm": 0.8764644861221313, + "learning_rate": 7.210787792760824e-05, + "loss": 0.7311, + "step": 1804 + }, + { + "epoch": 2.56, + "grad_norm": 0.8844506144523621, + "learning_rate": 7.203690560681335e-05, + "loss": 0.7216, + "step": 1805 + }, + { + "epoch": 2.56, + "grad_norm": 0.8994446396827698, + "learning_rate": 7.196593328601846e-05, + "loss": 0.7009, + "step": 1806 + }, + { + "epoch": 2.56, + "grad_norm": 0.9672061204910278, + "learning_rate": 7.189496096522357e-05, + "loss": 0.8095, + "step": 1807 + }, + { + "epoch": 2.56, + "grad_norm": 0.929573655128479, + "learning_rate": 7.182398864442867e-05, + "loss": 0.7629, + "step": 1808 + }, + { + "epoch": 2.56, + "grad_norm": 0.8954296708106995, + "learning_rate": 7.175301632363379e-05, + "loss": 0.7393, + "step": 1809 + }, + { + "epoch": 2.56, + "grad_norm": 0.9068436026573181, + "learning_rate": 7.16820440028389e-05, + "loss": 0.7749, + "step": 1810 + }, + { + "epoch": 2.57, + "grad_norm": 0.8931055665016174, + "learning_rate": 7.161107168204401e-05, + "loss": 0.7452, + "step": 1811 + }, + { + "epoch": 2.57, + "grad_norm": 0.9035736918449402, + "learning_rate": 7.154009936124911e-05, + "loss": 0.7888, + "step": 1812 + }, + { + "epoch": 2.57, + "grad_norm": 0.9025890231132507, + "learning_rate": 7.146912704045424e-05, + "loss": 0.7025, + "step": 1813 + }, + { + "epoch": 2.57, + "grad_norm": 0.8863286972045898, + "learning_rate": 7.139815471965934e-05, + "loss": 0.7307, + "step": 1814 + }, + { + "epoch": 2.57, + "grad_norm": 0.8847543597221375, + "learning_rate": 7.132718239886445e-05, + "loss": 0.7458, + "step": 1815 + }, + { + "epoch": 2.57, + "grad_norm": 0.8659204840660095, + "learning_rate": 7.125621007806955e-05, + "loss": 0.753, + "step": 1816 + }, + { + "epoch": 2.57, + "grad_norm": 0.9039578437805176, + "learning_rate": 7.118523775727467e-05, + "loss": 0.7161, + "step": 1817 + }, + { + "epoch": 2.58, + "grad_norm": 0.935804545879364, + "learning_rate": 7.111426543647977e-05, + "loss": 0.7696, + "step": 1818 + }, + { + "epoch": 2.58, + "grad_norm": 0.8946291208267212, + "learning_rate": 7.104329311568489e-05, + "loss": 0.743, + "step": 1819 + }, + { + "epoch": 2.58, + "grad_norm": 0.9393401145935059, + "learning_rate": 7.097232079489e-05, + "loss": 0.737, + "step": 1820 + }, + { + "epoch": 2.58, + "grad_norm": 0.8611619472503662, + "learning_rate": 7.090134847409511e-05, + "loss": 0.6716, + "step": 1821 + }, + { + "epoch": 2.58, + "grad_norm": 0.8942080140113831, + "learning_rate": 7.083037615330021e-05, + "loss": 0.7581, + "step": 1822 + }, + { + "epoch": 2.58, + "grad_norm": 0.9117892980575562, + "learning_rate": 7.075940383250532e-05, + "loss": 0.7086, + "step": 1823 + }, + { + "epoch": 2.58, + "grad_norm": 0.8960133790969849, + "learning_rate": 7.068843151171044e-05, + "loss": 0.7807, + "step": 1824 + }, + { + "epoch": 2.59, + "grad_norm": 0.9127882719039917, + "learning_rate": 7.061745919091555e-05, + "loss": 0.7258, + "step": 1825 + }, + { + "epoch": 2.59, + "grad_norm": 0.9065718650817871, + "learning_rate": 7.054648687012065e-05, + "loss": 0.7771, + "step": 1826 + }, + { + "epoch": 2.59, + "grad_norm": 0.9114099144935608, + "learning_rate": 7.047551454932577e-05, + "loss": 0.7564, + "step": 1827 + }, + { + "epoch": 2.59, + "grad_norm": 0.8710154294967651, + "learning_rate": 7.040454222853087e-05, + "loss": 0.691, + "step": 1828 + }, + { + "epoch": 2.59, + "grad_norm": 0.8883103132247925, + "learning_rate": 7.033356990773599e-05, + "loss": 0.797, + "step": 1829 + }, + { + "epoch": 2.59, + "grad_norm": 0.8676865100860596, + "learning_rate": 7.02625975869411e-05, + "loss": 0.707, + "step": 1830 + }, + { + "epoch": 2.59, + "grad_norm": 0.8942274451255798, + "learning_rate": 7.019162526614621e-05, + "loss": 0.7155, + "step": 1831 + }, + { + "epoch": 2.6, + "grad_norm": 0.9445174336433411, + "learning_rate": 7.012065294535132e-05, + "loss": 0.7967, + "step": 1832 + }, + { + "epoch": 2.6, + "grad_norm": 0.9001713991165161, + "learning_rate": 7.004968062455642e-05, + "loss": 0.7332, + "step": 1833 + }, + { + "epoch": 2.6, + "grad_norm": 0.9131384491920471, + "learning_rate": 6.997870830376154e-05, + "loss": 0.719, + "step": 1834 + }, + { + "epoch": 2.6, + "grad_norm": 0.9131073355674744, + "learning_rate": 6.990773598296665e-05, + "loss": 0.7155, + "step": 1835 + }, + { + "epoch": 2.6, + "grad_norm": 0.9039396643638611, + "learning_rate": 6.983676366217176e-05, + "loss": 0.7428, + "step": 1836 + }, + { + "epoch": 2.6, + "grad_norm": 0.9080092906951904, + "learning_rate": 6.976579134137686e-05, + "loss": 0.7161, + "step": 1837 + }, + { + "epoch": 2.6, + "grad_norm": 0.8788297772407532, + "learning_rate": 6.969481902058199e-05, + "loss": 0.7092, + "step": 1838 + }, + { + "epoch": 2.61, + "grad_norm": 0.8493945598602295, + "learning_rate": 6.962384669978709e-05, + "loss": 0.6627, + "step": 1839 + }, + { + "epoch": 2.61, + "grad_norm": 0.9463279843330383, + "learning_rate": 6.95528743789922e-05, + "loss": 0.7828, + "step": 1840 + }, + { + "epoch": 2.61, + "grad_norm": 0.9215744733810425, + "learning_rate": 6.94819020581973e-05, + "loss": 0.7036, + "step": 1841 + }, + { + "epoch": 2.61, + "grad_norm": 0.882713258266449, + "learning_rate": 6.941092973740242e-05, + "loss": 0.7174, + "step": 1842 + }, + { + "epoch": 2.61, + "grad_norm": 0.8597182631492615, + "learning_rate": 6.933995741660752e-05, + "loss": 0.7197, + "step": 1843 + }, + { + "epoch": 2.61, + "grad_norm": 0.8798161745071411, + "learning_rate": 6.926898509581264e-05, + "loss": 0.7363, + "step": 1844 + }, + { + "epoch": 2.61, + "grad_norm": 0.8880274891853333, + "learning_rate": 6.919801277501775e-05, + "loss": 0.7668, + "step": 1845 + }, + { + "epoch": 2.62, + "grad_norm": 0.9019714593887329, + "learning_rate": 6.912704045422286e-05, + "loss": 0.7559, + "step": 1846 + }, + { + "epoch": 2.62, + "grad_norm": 0.9086313843727112, + "learning_rate": 6.905606813342796e-05, + "loss": 0.747, + "step": 1847 + }, + { + "epoch": 2.62, + "grad_norm": 0.9187281131744385, + "learning_rate": 6.898509581263307e-05, + "loss": 0.7866, + "step": 1848 + }, + { + "epoch": 2.62, + "grad_norm": 0.9017612338066101, + "learning_rate": 6.891412349183819e-05, + "loss": 0.7581, + "step": 1849 + }, + { + "epoch": 2.62, + "grad_norm": 0.9309147000312805, + "learning_rate": 6.88431511710433e-05, + "loss": 0.7512, + "step": 1850 + }, + { + "epoch": 2.62, + "grad_norm": 0.8845265507698059, + "learning_rate": 6.87721788502484e-05, + "loss": 0.7758, + "step": 1851 + }, + { + "epoch": 2.62, + "grad_norm": 0.8595403432846069, + "learning_rate": 6.870120652945352e-05, + "loss": 0.665, + "step": 1852 + }, + { + "epoch": 2.63, + "grad_norm": 0.9455280303955078, + "learning_rate": 6.863023420865862e-05, + "loss": 0.7181, + "step": 1853 + }, + { + "epoch": 2.63, + "grad_norm": 0.8818469047546387, + "learning_rate": 6.855926188786374e-05, + "loss": 0.6943, + "step": 1854 + }, + { + "epoch": 2.63, + "grad_norm": 0.8975241780281067, + "learning_rate": 6.848828956706884e-05, + "loss": 0.7303, + "step": 1855 + }, + { + "epoch": 2.63, + "grad_norm": 0.8924829363822937, + "learning_rate": 6.841731724627396e-05, + "loss": 0.7318, + "step": 1856 + }, + { + "epoch": 2.63, + "grad_norm": 0.9156109690666199, + "learning_rate": 6.834634492547906e-05, + "loss": 0.7303, + "step": 1857 + }, + { + "epoch": 2.63, + "grad_norm": 0.8979274034500122, + "learning_rate": 6.827537260468417e-05, + "loss": 0.7247, + "step": 1858 + }, + { + "epoch": 2.63, + "grad_norm": 0.9190047979354858, + "learning_rate": 6.820440028388929e-05, + "loss": 0.7229, + "step": 1859 + }, + { + "epoch": 2.64, + "grad_norm": 0.8945170640945435, + "learning_rate": 6.81334279630944e-05, + "loss": 0.7494, + "step": 1860 + }, + { + "epoch": 2.64, + "grad_norm": 0.9074508547782898, + "learning_rate": 6.806245564229951e-05, + "loss": 0.7074, + "step": 1861 + }, + { + "epoch": 2.64, + "grad_norm": 0.884390115737915, + "learning_rate": 6.799148332150461e-05, + "loss": 0.6879, + "step": 1862 + }, + { + "epoch": 2.64, + "grad_norm": 0.8993882536888123, + "learning_rate": 6.792051100070972e-05, + "loss": 0.7678, + "step": 1863 + }, + { + "epoch": 2.64, + "grad_norm": 0.9103842377662659, + "learning_rate": 6.784953867991484e-05, + "loss": 0.6994, + "step": 1864 + }, + { + "epoch": 2.64, + "grad_norm": 0.8733007311820984, + "learning_rate": 6.777856635911995e-05, + "loss": 0.6775, + "step": 1865 + }, + { + "epoch": 2.64, + "grad_norm": 0.9129227995872498, + "learning_rate": 6.770759403832506e-05, + "loss": 0.7798, + "step": 1866 + }, + { + "epoch": 2.64, + "grad_norm": 0.8990234732627869, + "learning_rate": 6.763662171753017e-05, + "loss": 0.7268, + "step": 1867 + }, + { + "epoch": 2.65, + "grad_norm": 0.92862868309021, + "learning_rate": 6.756564939673527e-05, + "loss": 0.7577, + "step": 1868 + }, + { + "epoch": 2.65, + "grad_norm": 0.901336133480072, + "learning_rate": 6.749467707594039e-05, + "loss": 0.7165, + "step": 1869 + }, + { + "epoch": 2.65, + "grad_norm": 0.8477864861488342, + "learning_rate": 6.74237047551455e-05, + "loss": 0.6478, + "step": 1870 + }, + { + "epoch": 2.65, + "grad_norm": 0.8649226427078247, + "learning_rate": 6.735273243435061e-05, + "loss": 0.7218, + "step": 1871 + }, + { + "epoch": 2.65, + "grad_norm": 0.895254373550415, + "learning_rate": 6.728176011355571e-05, + "loss": 0.7311, + "step": 1872 + }, + { + "epoch": 2.65, + "grad_norm": 0.8805977702140808, + "learning_rate": 6.721078779276084e-05, + "loss": 0.6869, + "step": 1873 + }, + { + "epoch": 2.65, + "grad_norm": 0.8643150329589844, + "learning_rate": 6.713981547196594e-05, + "loss": 0.6596, + "step": 1874 + }, + { + "epoch": 2.66, + "grad_norm": 0.9333701133728027, + "learning_rate": 6.706884315117105e-05, + "loss": 0.732, + "step": 1875 + }, + { + "epoch": 2.66, + "grad_norm": 0.9489626884460449, + "learning_rate": 6.699787083037615e-05, + "loss": 0.7647, + "step": 1876 + }, + { + "epoch": 2.66, + "grad_norm": 0.8754850029945374, + "learning_rate": 6.692689850958127e-05, + "loss": 0.7136, + "step": 1877 + }, + { + "epoch": 2.66, + "grad_norm": 0.95391845703125, + "learning_rate": 6.685592618878637e-05, + "loss": 0.7988, + "step": 1878 + }, + { + "epoch": 2.66, + "grad_norm": 0.9592831134796143, + "learning_rate": 6.678495386799149e-05, + "loss": 0.7275, + "step": 1879 + }, + { + "epoch": 2.66, + "grad_norm": 0.9160040616989136, + "learning_rate": 6.671398154719659e-05, + "loss": 0.7331, + "step": 1880 + }, + { + "epoch": 2.66, + "grad_norm": 0.9226792454719543, + "learning_rate": 6.664300922640171e-05, + "loss": 0.7482, + "step": 1881 + }, + { + "epoch": 2.67, + "grad_norm": 0.9255938529968262, + "learning_rate": 6.657203690560681e-05, + "loss": 0.7231, + "step": 1882 + }, + { + "epoch": 2.67, + "grad_norm": 0.8794947862625122, + "learning_rate": 6.650106458481192e-05, + "loss": 0.6833, + "step": 1883 + }, + { + "epoch": 2.67, + "grad_norm": 0.9187234044075012, + "learning_rate": 6.643009226401704e-05, + "loss": 0.7916, + "step": 1884 + }, + { + "epoch": 2.67, + "grad_norm": 0.933605432510376, + "learning_rate": 6.635911994322215e-05, + "loss": 0.7747, + "step": 1885 + }, + { + "epoch": 2.67, + "grad_norm": 0.904399037361145, + "learning_rate": 6.628814762242725e-05, + "loss": 0.7911, + "step": 1886 + }, + { + "epoch": 2.67, + "grad_norm": 0.8907902240753174, + "learning_rate": 6.621717530163236e-05, + "loss": 0.7408, + "step": 1887 + }, + { + "epoch": 2.67, + "grad_norm": 0.865777313709259, + "learning_rate": 6.614620298083747e-05, + "loss": 0.6625, + "step": 1888 + }, + { + "epoch": 2.68, + "grad_norm": 0.9031429886817932, + "learning_rate": 6.607523066004259e-05, + "loss": 0.7341, + "step": 1889 + }, + { + "epoch": 2.68, + "grad_norm": 0.9169644713401794, + "learning_rate": 6.60042583392477e-05, + "loss": 0.7321, + "step": 1890 + }, + { + "epoch": 2.68, + "grad_norm": 0.9195284247398376, + "learning_rate": 6.593328601845281e-05, + "loss": 0.7736, + "step": 1891 + }, + { + "epoch": 2.68, + "grad_norm": 0.9451195001602173, + "learning_rate": 6.586231369765791e-05, + "loss": 0.8059, + "step": 1892 + }, + { + "epoch": 2.68, + "grad_norm": 0.8922215700149536, + "learning_rate": 6.579134137686302e-05, + "loss": 0.6853, + "step": 1893 + }, + { + "epoch": 2.68, + "grad_norm": 0.9502759575843811, + "learning_rate": 6.572036905606814e-05, + "loss": 0.719, + "step": 1894 + }, + { + "epoch": 2.68, + "grad_norm": 0.9210609793663025, + "learning_rate": 6.564939673527325e-05, + "loss": 0.726, + "step": 1895 + }, + { + "epoch": 2.69, + "grad_norm": 0.9551956653594971, + "learning_rate": 6.557842441447836e-05, + "loss": 0.8149, + "step": 1896 + }, + { + "epoch": 2.69, + "grad_norm": 0.8991343379020691, + "learning_rate": 6.550745209368346e-05, + "loss": 0.7282, + "step": 1897 + }, + { + "epoch": 2.69, + "grad_norm": 0.8829290866851807, + "learning_rate": 6.543647977288859e-05, + "loss": 0.7694, + "step": 1898 + }, + { + "epoch": 2.69, + "grad_norm": 0.9269784092903137, + "learning_rate": 6.536550745209369e-05, + "loss": 0.7331, + "step": 1899 + }, + { + "epoch": 2.69, + "grad_norm": 0.8731749057769775, + "learning_rate": 6.52945351312988e-05, + "loss": 0.6979, + "step": 1900 + }, + { + "epoch": 2.69, + "grad_norm": 0.8528725504875183, + "learning_rate": 6.52235628105039e-05, + "loss": 0.7293, + "step": 1901 + }, + { + "epoch": 2.69, + "grad_norm": 0.8936817049980164, + "learning_rate": 6.515259048970902e-05, + "loss": 0.7219, + "step": 1902 + }, + { + "epoch": 2.7, + "grad_norm": 0.8615530133247375, + "learning_rate": 6.508161816891412e-05, + "loss": 0.7127, + "step": 1903 + }, + { + "epoch": 2.7, + "grad_norm": 0.9263240694999695, + "learning_rate": 6.501064584811924e-05, + "loss": 0.7366, + "step": 1904 + }, + { + "epoch": 2.7, + "grad_norm": 0.894145667552948, + "learning_rate": 6.493967352732435e-05, + "loss": 0.7331, + "step": 1905 + }, + { + "epoch": 2.7, + "grad_norm": 0.8919436931610107, + "learning_rate": 6.486870120652946e-05, + "loss": 0.7227, + "step": 1906 + }, + { + "epoch": 2.7, + "grad_norm": 0.9151416420936584, + "learning_rate": 6.479772888573456e-05, + "loss": 0.749, + "step": 1907 + }, + { + "epoch": 2.7, + "grad_norm": 0.9217795729637146, + "learning_rate": 6.472675656493967e-05, + "loss": 0.7824, + "step": 1908 + }, + { + "epoch": 2.7, + "grad_norm": 0.9153746366500854, + "learning_rate": 6.465578424414479e-05, + "loss": 0.7191, + "step": 1909 + }, + { + "epoch": 2.71, + "grad_norm": 0.8637219667434692, + "learning_rate": 6.45848119233499e-05, + "loss": 0.7216, + "step": 1910 + }, + { + "epoch": 2.71, + "grad_norm": 0.9067671895027161, + "learning_rate": 6.4513839602555e-05, + "loss": 0.7083, + "step": 1911 + }, + { + "epoch": 2.71, + "grad_norm": 0.9326914548873901, + "learning_rate": 6.444286728176013e-05, + "loss": 0.7884, + "step": 1912 + }, + { + "epoch": 2.71, + "grad_norm": 0.8889709711074829, + "learning_rate": 6.437189496096522e-05, + "loss": 0.7329, + "step": 1913 + }, + { + "epoch": 2.71, + "grad_norm": 0.8617497086524963, + "learning_rate": 6.430092264017034e-05, + "loss": 0.7025, + "step": 1914 + }, + { + "epoch": 2.71, + "grad_norm": 0.9106520414352417, + "learning_rate": 6.422995031937544e-05, + "loss": 0.7113, + "step": 1915 + }, + { + "epoch": 2.71, + "grad_norm": 0.9133102893829346, + "learning_rate": 6.415897799858056e-05, + "loss": 0.7495, + "step": 1916 + }, + { + "epoch": 2.72, + "grad_norm": 0.8778348565101624, + "learning_rate": 6.408800567778566e-05, + "loss": 0.691, + "step": 1917 + }, + { + "epoch": 2.72, + "grad_norm": 0.8651662468910217, + "learning_rate": 6.401703335699077e-05, + "loss": 0.6919, + "step": 1918 + }, + { + "epoch": 2.72, + "grad_norm": 0.9208177924156189, + "learning_rate": 6.394606103619589e-05, + "loss": 0.7614, + "step": 1919 + }, + { + "epoch": 2.72, + "grad_norm": 0.8430038094520569, + "learning_rate": 6.3875088715401e-05, + "loss": 0.6678, + "step": 1920 + }, + { + "epoch": 2.72, + "grad_norm": 0.8798860907554626, + "learning_rate": 6.380411639460611e-05, + "loss": 0.7001, + "step": 1921 + }, + { + "epoch": 2.72, + "grad_norm": 0.9283832311630249, + "learning_rate": 6.373314407381121e-05, + "loss": 0.6932, + "step": 1922 + }, + { + "epoch": 2.72, + "grad_norm": 0.9014415740966797, + "learning_rate": 6.366217175301632e-05, + "loss": 0.7526, + "step": 1923 + }, + { + "epoch": 2.73, + "grad_norm": 0.9172340035438538, + "learning_rate": 6.359119943222144e-05, + "loss": 0.7518, + "step": 1924 + }, + { + "epoch": 2.73, + "grad_norm": 0.8508337736129761, + "learning_rate": 6.352022711142655e-05, + "loss": 0.7273, + "step": 1925 + }, + { + "epoch": 2.73, + "grad_norm": 0.909666895866394, + "learning_rate": 6.344925479063165e-05, + "loss": 0.7415, + "step": 1926 + }, + { + "epoch": 2.73, + "grad_norm": 0.8876848220825195, + "learning_rate": 6.337828246983678e-05, + "loss": 0.7353, + "step": 1927 + }, + { + "epoch": 2.73, + "grad_norm": 0.9056611657142639, + "learning_rate": 6.330731014904187e-05, + "loss": 0.7776, + "step": 1928 + }, + { + "epoch": 2.73, + "grad_norm": 0.9231218099594116, + "learning_rate": 6.323633782824699e-05, + "loss": 0.8055, + "step": 1929 + }, + { + "epoch": 2.73, + "grad_norm": 0.9067128896713257, + "learning_rate": 6.31653655074521e-05, + "loss": 0.7259, + "step": 1930 + }, + { + "epoch": 2.74, + "grad_norm": 0.8786343336105347, + "learning_rate": 6.309439318665721e-05, + "loss": 0.7008, + "step": 1931 + }, + { + "epoch": 2.74, + "grad_norm": 0.9066187143325806, + "learning_rate": 6.302342086586231e-05, + "loss": 0.7225, + "step": 1932 + }, + { + "epoch": 2.74, + "grad_norm": 0.8969742059707642, + "learning_rate": 6.295244854506742e-05, + "loss": 0.733, + "step": 1933 + }, + { + "epoch": 2.74, + "grad_norm": 0.9022447466850281, + "learning_rate": 6.288147622427254e-05, + "loss": 0.7418, + "step": 1934 + }, + { + "epoch": 2.74, + "grad_norm": 0.9096084833145142, + "learning_rate": 6.281050390347765e-05, + "loss": 0.7125, + "step": 1935 + }, + { + "epoch": 2.74, + "grad_norm": 0.9495100378990173, + "learning_rate": 6.273953158268275e-05, + "loss": 0.7232, + "step": 1936 + }, + { + "epoch": 2.74, + "grad_norm": 0.9231953024864197, + "learning_rate": 6.266855926188788e-05, + "loss": 0.7536, + "step": 1937 + }, + { + "epoch": 2.75, + "grad_norm": 0.9400760531425476, + "learning_rate": 6.259758694109297e-05, + "loss": 0.7545, + "step": 1938 + }, + { + "epoch": 2.75, + "grad_norm": 0.899880051612854, + "learning_rate": 6.252661462029809e-05, + "loss": 0.7119, + "step": 1939 + }, + { + "epoch": 2.75, + "grad_norm": 0.9516352415084839, + "learning_rate": 6.245564229950319e-05, + "loss": 0.7314, + "step": 1940 + }, + { + "epoch": 2.75, + "grad_norm": 0.9273751378059387, + "learning_rate": 6.238466997870831e-05, + "loss": 0.7458, + "step": 1941 + }, + { + "epoch": 2.75, + "grad_norm": 0.8848811984062195, + "learning_rate": 6.231369765791341e-05, + "loss": 0.6936, + "step": 1942 + }, + { + "epoch": 2.75, + "grad_norm": 0.9142954349517822, + "learning_rate": 6.224272533711852e-05, + "loss": 0.7136, + "step": 1943 + }, + { + "epoch": 2.75, + "grad_norm": 0.8864548802375793, + "learning_rate": 6.217175301632364e-05, + "loss": 0.7343, + "step": 1944 + }, + { + "epoch": 2.76, + "grad_norm": 0.8726581931114197, + "learning_rate": 6.210078069552875e-05, + "loss": 0.7012, + "step": 1945 + }, + { + "epoch": 2.76, + "grad_norm": 0.8997368812561035, + "learning_rate": 6.202980837473385e-05, + "loss": 0.7389, + "step": 1946 + }, + { + "epoch": 2.76, + "grad_norm": 0.87708979845047, + "learning_rate": 6.195883605393896e-05, + "loss": 0.6718, + "step": 1947 + }, + { + "epoch": 2.76, + "grad_norm": 0.8872997164726257, + "learning_rate": 6.188786373314407e-05, + "loss": 0.7301, + "step": 1948 + }, + { + "epoch": 2.76, + "grad_norm": 0.9232304692268372, + "learning_rate": 6.181689141234919e-05, + "loss": 0.7711, + "step": 1949 + }, + { + "epoch": 2.76, + "grad_norm": 0.8790326714515686, + "learning_rate": 6.17459190915543e-05, + "loss": 0.6659, + "step": 1950 + }, + { + "epoch": 2.76, + "grad_norm": 0.8775014281272888, + "learning_rate": 6.167494677075941e-05, + "loss": 0.6797, + "step": 1951 + }, + { + "epoch": 2.77, + "grad_norm": 0.9247701168060303, + "learning_rate": 6.160397444996451e-05, + "loss": 0.7555, + "step": 1952 + }, + { + "epoch": 2.77, + "grad_norm": 0.9140119552612305, + "learning_rate": 6.153300212916962e-05, + "loss": 0.7253, + "step": 1953 + }, + { + "epoch": 2.77, + "grad_norm": 0.9283299446105957, + "learning_rate": 6.146202980837474e-05, + "loss": 0.7503, + "step": 1954 + }, + { + "epoch": 2.77, + "grad_norm": 0.9792236685752869, + "learning_rate": 6.139105748757985e-05, + "loss": 0.8229, + "step": 1955 + }, + { + "epoch": 2.77, + "grad_norm": 0.9352570176124573, + "learning_rate": 6.132008516678496e-05, + "loss": 0.7465, + "step": 1956 + }, + { + "epoch": 2.77, + "grad_norm": 0.9299400448799133, + "learning_rate": 6.124911284599006e-05, + "loss": 0.7143, + "step": 1957 + }, + { + "epoch": 2.77, + "grad_norm": 0.9018230438232422, + "learning_rate": 6.117814052519519e-05, + "loss": 0.7457, + "step": 1958 + }, + { + "epoch": 2.78, + "grad_norm": 0.9120910167694092, + "learning_rate": 6.110716820440029e-05, + "loss": 0.718, + "step": 1959 + }, + { + "epoch": 2.78, + "grad_norm": 0.9172790050506592, + "learning_rate": 6.10361958836054e-05, + "loss": 0.7895, + "step": 1960 + }, + { + "epoch": 2.78, + "grad_norm": 0.9235164523124695, + "learning_rate": 6.09652235628105e-05, + "loss": 0.7568, + "step": 1961 + }, + { + "epoch": 2.78, + "grad_norm": 0.915084183216095, + "learning_rate": 6.089425124201562e-05, + "loss": 0.7685, + "step": 1962 + }, + { + "epoch": 2.78, + "grad_norm": 0.8504372835159302, + "learning_rate": 6.0823278921220725e-05, + "loss": 0.7283, + "step": 1963 + }, + { + "epoch": 2.78, + "grad_norm": 0.8520084619522095, + "learning_rate": 6.075230660042584e-05, + "loss": 0.6907, + "step": 1964 + }, + { + "epoch": 2.78, + "grad_norm": 0.8992055654525757, + "learning_rate": 6.0681334279630944e-05, + "loss": 0.7292, + "step": 1965 + }, + { + "epoch": 2.79, + "grad_norm": 0.9049320220947266, + "learning_rate": 6.0610361958836056e-05, + "loss": 0.7567, + "step": 1966 + }, + { + "epoch": 2.79, + "grad_norm": 0.9057159423828125, + "learning_rate": 6.053938963804117e-05, + "loss": 0.6883, + "step": 1967 + }, + { + "epoch": 2.79, + "grad_norm": 0.9200868010520935, + "learning_rate": 6.0468417317246275e-05, + "loss": 0.7741, + "step": 1968 + }, + { + "epoch": 2.79, + "grad_norm": 0.9224002957344055, + "learning_rate": 6.039744499645139e-05, + "loss": 0.7559, + "step": 1969 + }, + { + "epoch": 2.79, + "grad_norm": 0.9786500930786133, + "learning_rate": 6.03264726756565e-05, + "loss": 0.7951, + "step": 1970 + }, + { + "epoch": 2.79, + "grad_norm": 0.9218242168426514, + "learning_rate": 6.0255500354861607e-05, + "loss": 0.741, + "step": 1971 + }, + { + "epoch": 2.79, + "grad_norm": 0.9101900458335876, + "learning_rate": 6.018452803406671e-05, + "loss": 0.7705, + "step": 1972 + }, + { + "epoch": 2.8, + "grad_norm": 0.8758111596107483, + "learning_rate": 6.011355571327183e-05, + "loss": 0.705, + "step": 1973 + }, + { + "epoch": 2.8, + "grad_norm": 0.9413437247276306, + "learning_rate": 6.004258339247694e-05, + "loss": 0.705, + "step": 1974 + }, + { + "epoch": 2.8, + "grad_norm": 0.9429991841316223, + "learning_rate": 5.9971611071682044e-05, + "loss": 0.7461, + "step": 1975 + }, + { + "epoch": 2.8, + "grad_norm": 0.8979993462562561, + "learning_rate": 5.9900638750887163e-05, + "loss": 0.6894, + "step": 1976 + }, + { + "epoch": 2.8, + "grad_norm": 0.9537708163261414, + "learning_rate": 5.982966643009227e-05, + "loss": 0.7837, + "step": 1977 + }, + { + "epoch": 2.8, + "grad_norm": 0.9004853367805481, + "learning_rate": 5.9758694109297375e-05, + "loss": 0.7106, + "step": 1978 + }, + { + "epoch": 2.8, + "grad_norm": 0.9031293988227844, + "learning_rate": 5.968772178850248e-05, + "loss": 0.7171, + "step": 1979 + }, + { + "epoch": 2.81, + "grad_norm": 0.8935607671737671, + "learning_rate": 5.96167494677076e-05, + "loss": 0.7401, + "step": 1980 + }, + { + "epoch": 2.81, + "grad_norm": 0.8977299928665161, + "learning_rate": 5.954577714691271e-05, + "loss": 0.7532, + "step": 1981 + }, + { + "epoch": 2.81, + "grad_norm": 0.8968639373779297, + "learning_rate": 5.947480482611781e-05, + "loss": 0.7306, + "step": 1982 + }, + { + "epoch": 2.81, + "grad_norm": 0.9397892951965332, + "learning_rate": 5.940383250532293e-05, + "loss": 0.8076, + "step": 1983 + }, + { + "epoch": 2.81, + "grad_norm": 0.9595673084259033, + "learning_rate": 5.933286018452804e-05, + "loss": 0.7778, + "step": 1984 + }, + { + "epoch": 2.81, + "grad_norm": 0.9051293134689331, + "learning_rate": 5.9261887863733144e-05, + "loss": 0.7372, + "step": 1985 + }, + { + "epoch": 2.81, + "grad_norm": 0.919461190700531, + "learning_rate": 5.919091554293825e-05, + "loss": 0.68, + "step": 1986 + }, + { + "epoch": 2.81, + "grad_norm": 0.947431743144989, + "learning_rate": 5.911994322214337e-05, + "loss": 0.7676, + "step": 1987 + }, + { + "epoch": 2.82, + "grad_norm": 0.9109405875205994, + "learning_rate": 5.9048970901348475e-05, + "loss": 0.7342, + "step": 1988 + }, + { + "epoch": 2.82, + "grad_norm": 0.9157077074050903, + "learning_rate": 5.897799858055358e-05, + "loss": 0.7254, + "step": 1989 + }, + { + "epoch": 2.82, + "grad_norm": 0.9192777276039124, + "learning_rate": 5.89070262597587e-05, + "loss": 0.816, + "step": 1990 + }, + { + "epoch": 2.82, + "grad_norm": 0.8862888813018799, + "learning_rate": 5.883605393896381e-05, + "loss": 0.693, + "step": 1991 + }, + { + "epoch": 2.82, + "grad_norm": 0.8700743317604065, + "learning_rate": 5.876508161816891e-05, + "loss": 0.7199, + "step": 1992 + }, + { + "epoch": 2.82, + "grad_norm": 0.861030638217926, + "learning_rate": 5.8694109297374026e-05, + "loss": 0.7043, + "step": 1993 + }, + { + "epoch": 2.82, + "grad_norm": 0.865680456161499, + "learning_rate": 5.862313697657914e-05, + "loss": 0.7142, + "step": 1994 + }, + { + "epoch": 2.83, + "grad_norm": 0.8904520869255066, + "learning_rate": 5.8552164655784244e-05, + "loss": 0.6742, + "step": 1995 + }, + { + "epoch": 2.83, + "grad_norm": 0.906788170337677, + "learning_rate": 5.848119233498936e-05, + "loss": 0.745, + "step": 1996 + }, + { + "epoch": 2.83, + "grad_norm": 0.8844560980796814, + "learning_rate": 5.841022001419447e-05, + "loss": 0.6675, + "step": 1997 + }, + { + "epoch": 2.83, + "grad_norm": 0.9228169918060303, + "learning_rate": 5.833924769339958e-05, + "loss": 0.7112, + "step": 1998 + }, + { + "epoch": 2.83, + "grad_norm": 0.9667858481407166, + "learning_rate": 5.826827537260469e-05, + "loss": 0.76, + "step": 1999 + }, + { + "epoch": 2.83, + "grad_norm": 0.9407635927200317, + "learning_rate": 5.8197303051809794e-05, + "loss": 0.7387, + "step": 2000 + }, + { + "epoch": 2.83, + "grad_norm": 0.9030634164810181, + "learning_rate": 5.8126330731014914e-05, + "loss": 0.6959, + "step": 2001 + }, + { + "epoch": 2.84, + "grad_norm": 0.9199838638305664, + "learning_rate": 5.805535841022002e-05, + "loss": 0.7235, + "step": 2002 + }, + { + "epoch": 2.84, + "grad_norm": 0.9523055553436279, + "learning_rate": 5.7984386089425126e-05, + "loss": 0.7482, + "step": 2003 + }, + { + "epoch": 2.84, + "grad_norm": 0.8901258707046509, + "learning_rate": 5.7913413768630245e-05, + "loss": 0.7052, + "step": 2004 + }, + { + "epoch": 2.84, + "grad_norm": 0.919878363609314, + "learning_rate": 5.784244144783535e-05, + "loss": 0.7624, + "step": 2005 + }, + { + "epoch": 2.84, + "grad_norm": 0.9046053886413574, + "learning_rate": 5.777146912704046e-05, + "loss": 0.6738, + "step": 2006 + }, + { + "epoch": 2.84, + "grad_norm": 0.9026862978935242, + "learning_rate": 5.770049680624556e-05, + "loss": 0.7391, + "step": 2007 + }, + { + "epoch": 2.84, + "grad_norm": 0.8612751960754395, + "learning_rate": 5.762952448545068e-05, + "loss": 0.6809, + "step": 2008 + }, + { + "epoch": 2.85, + "grad_norm": 0.909647524356842, + "learning_rate": 5.755855216465579e-05, + "loss": 0.7777, + "step": 2009 + }, + { + "epoch": 2.85, + "grad_norm": 0.9045459032058716, + "learning_rate": 5.7487579843860894e-05, + "loss": 0.7579, + "step": 2010 + }, + { + "epoch": 2.85, + "grad_norm": 0.8565319180488586, + "learning_rate": 5.7416607523066e-05, + "loss": 0.6686, + "step": 2011 + }, + { + "epoch": 2.85, + "grad_norm": 0.8806788325309753, + "learning_rate": 5.734563520227112e-05, + "loss": 0.7081, + "step": 2012 + }, + { + "epoch": 2.85, + "grad_norm": 0.9146614074707031, + "learning_rate": 5.7274662881476226e-05, + "loss": 0.7461, + "step": 2013 + }, + { + "epoch": 2.85, + "grad_norm": 0.9521096348762512, + "learning_rate": 5.720369056068133e-05, + "loss": 0.7745, + "step": 2014 + }, + { + "epoch": 2.85, + "grad_norm": 0.9208850264549255, + "learning_rate": 5.713271823988645e-05, + "loss": 0.7343, + "step": 2015 + }, + { + "epoch": 2.86, + "grad_norm": 0.9413381814956665, + "learning_rate": 5.706174591909156e-05, + "loss": 0.744, + "step": 2016 + }, + { + "epoch": 2.86, + "grad_norm": 0.9284963011741638, + "learning_rate": 5.699077359829666e-05, + "loss": 0.7354, + "step": 2017 + }, + { + "epoch": 2.86, + "grad_norm": 0.9209182262420654, + "learning_rate": 5.691980127750177e-05, + "loss": 0.7992, + "step": 2018 + }, + { + "epoch": 2.86, + "grad_norm": 0.8778393268585205, + "learning_rate": 5.684882895670689e-05, + "loss": 0.7211, + "step": 2019 + }, + { + "epoch": 2.86, + "grad_norm": 0.9171314239501953, + "learning_rate": 5.6777856635911995e-05, + "loss": 0.7308, + "step": 2020 + }, + { + "epoch": 2.86, + "grad_norm": 0.9178740382194519, + "learning_rate": 5.67068843151171e-05, + "loss": 0.7791, + "step": 2021 + }, + { + "epoch": 2.86, + "grad_norm": 0.9107670187950134, + "learning_rate": 5.663591199432222e-05, + "loss": 0.7673, + "step": 2022 + }, + { + "epoch": 2.87, + "grad_norm": 0.8879327178001404, + "learning_rate": 5.6564939673527326e-05, + "loss": 0.7244, + "step": 2023 + }, + { + "epoch": 2.87, + "grad_norm": 0.8985375165939331, + "learning_rate": 5.649396735273244e-05, + "loss": 0.735, + "step": 2024 + }, + { + "epoch": 2.87, + "grad_norm": 0.8995974659919739, + "learning_rate": 5.6422995031937545e-05, + "loss": 0.7454, + "step": 2025 + }, + { + "epoch": 2.87, + "grad_norm": 0.9525470733642578, + "learning_rate": 5.635202271114266e-05, + "loss": 0.7669, + "step": 2026 + }, + { + "epoch": 2.87, + "grad_norm": 0.9079092144966125, + "learning_rate": 5.628105039034777e-05, + "loss": 0.7018, + "step": 2027 + }, + { + "epoch": 2.87, + "grad_norm": 0.9271257519721985, + "learning_rate": 5.6210078069552876e-05, + "loss": 0.7295, + "step": 2028 + }, + { + "epoch": 2.87, + "grad_norm": 0.943726122379303, + "learning_rate": 5.613910574875799e-05, + "loss": 0.7472, + "step": 2029 + }, + { + "epoch": 2.88, + "grad_norm": 0.9313754439353943, + "learning_rate": 5.60681334279631e-05, + "loss": 0.7358, + "step": 2030 + }, + { + "epoch": 2.88, + "grad_norm": 0.9185075163841248, + "learning_rate": 5.599716110716821e-05, + "loss": 0.7313, + "step": 2031 + }, + { + "epoch": 2.88, + "grad_norm": 0.9241396188735962, + "learning_rate": 5.5926188786373313e-05, + "loss": 0.7114, + "step": 2032 + }, + { + "epoch": 2.88, + "grad_norm": 0.884719967842102, + "learning_rate": 5.585521646557843e-05, + "loss": 0.727, + "step": 2033 + }, + { + "epoch": 2.88, + "grad_norm": 0.8894933462142944, + "learning_rate": 5.578424414478354e-05, + "loss": 0.7598, + "step": 2034 + }, + { + "epoch": 2.88, + "grad_norm": 0.8764230608940125, + "learning_rate": 5.5713271823988645e-05, + "loss": 0.7433, + "step": 2035 + }, + { + "epoch": 2.88, + "grad_norm": 0.8621907234191895, + "learning_rate": 5.5642299503193764e-05, + "loss": 0.7148, + "step": 2036 + }, + { + "epoch": 2.89, + "grad_norm": 0.8671466112136841, + "learning_rate": 5.557132718239887e-05, + "loss": 0.7362, + "step": 2037 + }, + { + "epoch": 2.89, + "grad_norm": 0.875935435295105, + "learning_rate": 5.5500354861603976e-05, + "loss": 0.7166, + "step": 2038 + }, + { + "epoch": 2.89, + "grad_norm": 0.9075550436973572, + "learning_rate": 5.542938254080908e-05, + "loss": 0.7744, + "step": 2039 + }, + { + "epoch": 2.89, + "grad_norm": 0.9083443880081177, + "learning_rate": 5.53584102200142e-05, + "loss": 0.709, + "step": 2040 + }, + { + "epoch": 2.89, + "grad_norm": 0.8900015950202942, + "learning_rate": 5.528743789921931e-05, + "loss": 0.7487, + "step": 2041 + }, + { + "epoch": 2.89, + "grad_norm": 0.9004586338996887, + "learning_rate": 5.5216465578424414e-05, + "loss": 0.7373, + "step": 2042 + }, + { + "epoch": 2.89, + "grad_norm": 0.9120739698410034, + "learning_rate": 5.514549325762953e-05, + "loss": 0.7307, + "step": 2043 + }, + { + "epoch": 2.9, + "grad_norm": 0.9269658327102661, + "learning_rate": 5.507452093683464e-05, + "loss": 0.7593, + "step": 2044 + }, + { + "epoch": 2.9, + "grad_norm": 0.9356985688209534, + "learning_rate": 5.5003548616039745e-05, + "loss": 0.7623, + "step": 2045 + }, + { + "epoch": 2.9, + "grad_norm": 0.9285359382629395, + "learning_rate": 5.493257629524485e-05, + "loss": 0.7215, + "step": 2046 + }, + { + "epoch": 2.9, + "grad_norm": 0.892284095287323, + "learning_rate": 5.486160397444997e-05, + "loss": 0.7151, + "step": 2047 + }, + { + "epoch": 2.9, + "grad_norm": 0.9217097759246826, + "learning_rate": 5.4790631653655076e-05, + "loss": 0.7354, + "step": 2048 + }, + { + "epoch": 2.9, + "grad_norm": 0.9596689939498901, + "learning_rate": 5.471965933286018e-05, + "loss": 0.7735, + "step": 2049 + }, + { + "epoch": 2.9, + "grad_norm": 0.9006109237670898, + "learning_rate": 5.464868701206529e-05, + "loss": 0.6733, + "step": 2050 + }, + { + "epoch": 2.91, + "grad_norm": 0.9174147248268127, + "learning_rate": 5.457771469127041e-05, + "loss": 0.7423, + "step": 2051 + }, + { + "epoch": 2.91, + "grad_norm": 0.944945752620697, + "learning_rate": 5.4506742370475514e-05, + "loss": 0.7928, + "step": 2052 + }, + { + "epoch": 2.91, + "grad_norm": 0.8980944156646729, + "learning_rate": 5.4435770049680626e-05, + "loss": 0.6827, + "step": 2053 + }, + { + "epoch": 2.91, + "grad_norm": 0.9077931642532349, + "learning_rate": 5.436479772888574e-05, + "loss": 0.7515, + "step": 2054 + }, + { + "epoch": 2.91, + "grad_norm": 0.8934177756309509, + "learning_rate": 5.4293825408090845e-05, + "loss": 0.7314, + "step": 2055 + }, + { + "epoch": 2.91, + "grad_norm": 0.8950974345207214, + "learning_rate": 5.422285308729596e-05, + "loss": 0.7644, + "step": 2056 + }, + { + "epoch": 2.91, + "grad_norm": 0.9017379283905029, + "learning_rate": 5.4151880766501064e-05, + "loss": 0.7599, + "step": 2057 + }, + { + "epoch": 2.92, + "grad_norm": 0.8867719173431396, + "learning_rate": 5.4080908445706177e-05, + "loss": 0.7247, + "step": 2058 + }, + { + "epoch": 2.92, + "grad_norm": 0.8819170594215393, + "learning_rate": 5.400993612491129e-05, + "loss": 0.7039, + "step": 2059 + }, + { + "epoch": 2.92, + "grad_norm": 0.9082474708557129, + "learning_rate": 5.3938963804116395e-05, + "loss": 0.7261, + "step": 2060 + }, + { + "epoch": 2.92, + "grad_norm": 0.8912190198898315, + "learning_rate": 5.3867991483321515e-05, + "loss": 0.758, + "step": 2061 + }, + { + "epoch": 2.92, + "grad_norm": 1.0254679918289185, + "learning_rate": 5.379701916252662e-05, + "loss": 0.7901, + "step": 2062 + }, + { + "epoch": 2.92, + "grad_norm": 0.8879702687263489, + "learning_rate": 5.3726046841731727e-05, + "loss": 0.7172, + "step": 2063 + }, + { + "epoch": 2.92, + "grad_norm": 0.8472481966018677, + "learning_rate": 5.365507452093683e-05, + "loss": 0.7248, + "step": 2064 + }, + { + "epoch": 2.93, + "grad_norm": 0.9291859865188599, + "learning_rate": 5.358410220014195e-05, + "loss": 0.7221, + "step": 2065 + }, + { + "epoch": 2.93, + "grad_norm": 0.8945410251617432, + "learning_rate": 5.351312987934706e-05, + "loss": 0.6759, + "step": 2066 + }, + { + "epoch": 2.93, + "grad_norm": 0.8901339769363403, + "learning_rate": 5.3442157558552164e-05, + "loss": 0.7342, + "step": 2067 + }, + { + "epoch": 2.93, + "grad_norm": 0.8966627717018127, + "learning_rate": 5.3371185237757283e-05, + "loss": 0.6834, + "step": 2068 + }, + { + "epoch": 2.93, + "grad_norm": 0.9248061180114746, + "learning_rate": 5.330021291696239e-05, + "loss": 0.7561, + "step": 2069 + }, + { + "epoch": 2.93, + "grad_norm": 0.9252817630767822, + "learning_rate": 5.3229240596167495e-05, + "loss": 0.7436, + "step": 2070 + }, + { + "epoch": 2.93, + "grad_norm": 0.888176441192627, + "learning_rate": 5.31582682753726e-05, + "loss": 0.7017, + "step": 2071 + }, + { + "epoch": 2.94, + "grad_norm": 0.894523561000824, + "learning_rate": 5.308729595457772e-05, + "loss": 0.7224, + "step": 2072 + }, + { + "epoch": 2.94, + "grad_norm": 0.9010726809501648, + "learning_rate": 5.301632363378283e-05, + "loss": 0.7276, + "step": 2073 + }, + { + "epoch": 2.94, + "grad_norm": 0.9328283071517944, + "learning_rate": 5.294535131298793e-05, + "loss": 0.7599, + "step": 2074 + }, + { + "epoch": 2.94, + "grad_norm": 0.8821666836738586, + "learning_rate": 5.287437899219305e-05, + "loss": 0.7245, + "step": 2075 + }, + { + "epoch": 2.94, + "grad_norm": 0.9441255927085876, + "learning_rate": 5.280340667139816e-05, + "loss": 0.7344, + "step": 2076 + }, + { + "epoch": 2.94, + "grad_norm": 0.9148538708686829, + "learning_rate": 5.2732434350603264e-05, + "loss": 0.7172, + "step": 2077 + }, + { + "epoch": 2.94, + "grad_norm": 0.895046055316925, + "learning_rate": 5.266146202980837e-05, + "loss": 0.7425, + "step": 2078 + }, + { + "epoch": 2.95, + "grad_norm": 0.8581205606460571, + "learning_rate": 5.259048970901349e-05, + "loss": 0.703, + "step": 2079 + }, + { + "epoch": 2.95, + "grad_norm": 0.8967068195343018, + "learning_rate": 5.2519517388218595e-05, + "loss": 0.7363, + "step": 2080 + }, + { + "epoch": 2.95, + "grad_norm": 0.8934385180473328, + "learning_rate": 5.24485450674237e-05, + "loss": 0.7344, + "step": 2081 + }, + { + "epoch": 2.95, + "grad_norm": 0.9267292618751526, + "learning_rate": 5.237757274662882e-05, + "loss": 0.7429, + "step": 2082 + }, + { + "epoch": 2.95, + "grad_norm": 0.8986665606498718, + "learning_rate": 5.230660042583393e-05, + "loss": 0.7341, + "step": 2083 + }, + { + "epoch": 2.95, + "grad_norm": 0.9249792098999023, + "learning_rate": 5.223562810503903e-05, + "loss": 0.723, + "step": 2084 + }, + { + "epoch": 2.95, + "grad_norm": 0.9367862343788147, + "learning_rate": 5.2164655784244146e-05, + "loss": 0.7556, + "step": 2085 + }, + { + "epoch": 2.96, + "grad_norm": 0.9350747466087341, + "learning_rate": 5.209368346344926e-05, + "loss": 0.7687, + "step": 2086 + }, + { + "epoch": 2.96, + "grad_norm": 0.9194963574409485, + "learning_rate": 5.202271114265437e-05, + "loss": 0.7667, + "step": 2087 + }, + { + "epoch": 2.96, + "grad_norm": 0.910021185874939, + "learning_rate": 5.195173882185948e-05, + "loss": 0.7181, + "step": 2088 + }, + { + "epoch": 2.96, + "grad_norm": 0.9334052205085754, + "learning_rate": 5.188076650106459e-05, + "loss": 0.7773, + "step": 2089 + }, + { + "epoch": 2.96, + "grad_norm": 0.9095138311386108, + "learning_rate": 5.18097941802697e-05, + "loss": 0.7153, + "step": 2090 + }, + { + "epoch": 2.96, + "grad_norm": 0.8687496781349182, + "learning_rate": 5.173882185947481e-05, + "loss": 0.7251, + "step": 2091 + }, + { + "epoch": 2.96, + "grad_norm": 0.889177143573761, + "learning_rate": 5.1667849538679914e-05, + "loss": 0.7084, + "step": 2092 + }, + { + "epoch": 2.97, + "grad_norm": 0.8826084733009338, + "learning_rate": 5.1596877217885034e-05, + "loss": 0.6988, + "step": 2093 + }, + { + "epoch": 2.97, + "grad_norm": 0.891457736492157, + "learning_rate": 5.152590489709014e-05, + "loss": 0.7394, + "step": 2094 + }, + { + "epoch": 2.97, + "grad_norm": 0.8934881091117859, + "learning_rate": 5.1454932576295246e-05, + "loss": 0.6861, + "step": 2095 + }, + { + "epoch": 2.97, + "grad_norm": 0.9134221076965332, + "learning_rate": 5.138396025550035e-05, + "loss": 0.7227, + "step": 2096 + }, + { + "epoch": 2.97, + "grad_norm": 0.8815884590148926, + "learning_rate": 5.131298793470547e-05, + "loss": 0.675, + "step": 2097 + }, + { + "epoch": 2.97, + "grad_norm": 0.9253513813018799, + "learning_rate": 5.124201561391058e-05, + "loss": 0.723, + "step": 2098 + }, + { + "epoch": 2.97, + "grad_norm": 0.9489588141441345, + "learning_rate": 5.117104329311568e-05, + "loss": 0.7302, + "step": 2099 + }, + { + "epoch": 2.98, + "grad_norm": 0.9437028169631958, + "learning_rate": 5.11000709723208e-05, + "loss": 0.7355, + "step": 2100 + }, + { + "epoch": 2.98, + "grad_norm": 0.9252711534500122, + "learning_rate": 5.102909865152591e-05, + "loss": 0.7317, + "step": 2101 + }, + { + "epoch": 2.98, + "grad_norm": 0.9146744608879089, + "learning_rate": 5.0958126330731014e-05, + "loss": 0.7059, + "step": 2102 + }, + { + "epoch": 2.98, + "grad_norm": 0.9322413206100464, + "learning_rate": 5.088715400993612e-05, + "loss": 0.7326, + "step": 2103 + }, + { + "epoch": 2.98, + "grad_norm": 0.9023984670639038, + "learning_rate": 5.081618168914124e-05, + "loss": 0.7999, + "step": 2104 + }, + { + "epoch": 2.98, + "grad_norm": 0.8638840913772583, + "learning_rate": 5.0745209368346346e-05, + "loss": 0.7179, + "step": 2105 + }, + { + "epoch": 2.98, + "grad_norm": 0.8496398329734802, + "learning_rate": 5.067423704755145e-05, + "loss": 0.6619, + "step": 2106 + }, + { + "epoch": 2.98, + "grad_norm": 0.9351739287376404, + "learning_rate": 5.060326472675657e-05, + "loss": 0.7478, + "step": 2107 + }, + { + "epoch": 2.99, + "grad_norm": 0.9056074619293213, + "learning_rate": 5.053229240596168e-05, + "loss": 0.7747, + "step": 2108 + }, + { + "epoch": 2.99, + "grad_norm": 0.8992380499839783, + "learning_rate": 5.046132008516678e-05, + "loss": 0.733, + "step": 2109 + }, + { + "epoch": 2.99, + "grad_norm": 0.9041831493377686, + "learning_rate": 5.039034776437189e-05, + "loss": 0.7573, + "step": 2110 + }, + { + "epoch": 2.99, + "grad_norm": 0.9171251058578491, + "learning_rate": 5.031937544357701e-05, + "loss": 0.7364, + "step": 2111 + }, + { + "epoch": 2.99, + "grad_norm": 0.9151423573493958, + "learning_rate": 5.0248403122782115e-05, + "loss": 0.7923, + "step": 2112 + }, + { + "epoch": 2.99, + "grad_norm": 0.8989052176475525, + "learning_rate": 5.017743080198723e-05, + "loss": 0.7144, + "step": 2113 + }, + { + "epoch": 2.99, + "grad_norm": 0.9141291379928589, + "learning_rate": 5.010645848119234e-05, + "loss": 0.6852, + "step": 2114 + }, + { + "epoch": 3.0, + "grad_norm": 0.9194472432136536, + "learning_rate": 5.0035486160397446e-05, + "loss": 0.7559, + "step": 2115 + }, + { + "epoch": 3.0, + "grad_norm": 0.867283284664154, + "learning_rate": 4.996451383960256e-05, + "loss": 0.7188, + "step": 2116 + }, + { + "epoch": 3.0, + "grad_norm": 0.9092669486999512, + "learning_rate": 4.989354151880767e-05, + "loss": 0.7543, + "step": 2117 + }, + { + "epoch": 3.0, + "grad_norm": 0.8685262203216553, + "learning_rate": 4.982256919801278e-05, + "loss": 0.6828, + "step": 2118 + }, + { + "epoch": 3.0, + "grad_norm": 0.7743335962295532, + "learning_rate": 4.975159687721789e-05, + "loss": 0.5045, + "step": 2119 + }, + { + "epoch": 3.0, + "grad_norm": 0.8006496429443359, + "learning_rate": 4.9680624556423e-05, + "loss": 0.5517, + "step": 2120 + }, + { + "epoch": 3.0, + "grad_norm": 0.8102491497993469, + "learning_rate": 4.960965223562811e-05, + "loss": 0.504, + "step": 2121 + }, + { + "epoch": 3.01, + "grad_norm": 0.7949885129928589, + "learning_rate": 4.953867991483322e-05, + "loss": 0.4944, + "step": 2122 + }, + { + "epoch": 3.01, + "grad_norm": 0.8948567509651184, + "learning_rate": 4.946770759403833e-05, + "loss": 0.4933, + "step": 2123 + }, + { + "epoch": 3.01, + "grad_norm": 0.9919142723083496, + "learning_rate": 4.939673527324344e-05, + "loss": 0.558, + "step": 2124 + }, + { + "epoch": 3.01, + "grad_norm": 1.0344558954238892, + "learning_rate": 4.9325762952448546e-05, + "loss": 0.5067, + "step": 2125 + }, + { + "epoch": 3.01, + "grad_norm": 1.1019103527069092, + "learning_rate": 4.925479063165366e-05, + "loss": 0.5355, + "step": 2126 + }, + { + "epoch": 3.01, + "grad_norm": 1.170531153678894, + "learning_rate": 4.9183818310858765e-05, + "loss": 0.5802, + "step": 2127 + }, + { + "epoch": 3.01, + "grad_norm": 1.1433138847351074, + "learning_rate": 4.911284599006388e-05, + "loss": 0.5597, + "step": 2128 + }, + { + "epoch": 3.02, + "grad_norm": 1.1154450178146362, + "learning_rate": 4.904187366926899e-05, + "loss": 0.542, + "step": 2129 + }, + { + "epoch": 3.02, + "grad_norm": 1.0891841650009155, + "learning_rate": 4.8970901348474096e-05, + "loss": 0.559, + "step": 2130 + }, + { + "epoch": 3.02, + "grad_norm": 0.9962801337242126, + "learning_rate": 4.889992902767921e-05, + "loss": 0.5171, + "step": 2131 + }, + { + "epoch": 3.02, + "grad_norm": 0.9601651430130005, + "learning_rate": 4.8828956706884315e-05, + "loss": 0.5508, + "step": 2132 + }, + { + "epoch": 3.02, + "grad_norm": 0.8857892751693726, + "learning_rate": 4.875798438608943e-05, + "loss": 0.4933, + "step": 2133 + }, + { + "epoch": 3.02, + "grad_norm": 0.8972840905189514, + "learning_rate": 4.8687012065294534e-05, + "loss": 0.5005, + "step": 2134 + }, + { + "epoch": 3.02, + "grad_norm": 0.922217071056366, + "learning_rate": 4.8616039744499646e-05, + "loss": 0.5266, + "step": 2135 + }, + { + "epoch": 3.03, + "grad_norm": 0.8686092495918274, + "learning_rate": 4.854506742370476e-05, + "loss": 0.5273, + "step": 2136 + }, + { + "epoch": 3.03, + "grad_norm": 0.901107132434845, + "learning_rate": 4.8474095102909865e-05, + "loss": 0.49, + "step": 2137 + }, + { + "epoch": 3.03, + "grad_norm": 0.9138848185539246, + "learning_rate": 4.840312278211498e-05, + "loss": 0.5071, + "step": 2138 + }, + { + "epoch": 3.03, + "grad_norm": 0.9287373423576355, + "learning_rate": 4.8332150461320084e-05, + "loss": 0.5132, + "step": 2139 + }, + { + "epoch": 3.03, + "grad_norm": 0.9281260371208191, + "learning_rate": 4.8261178140525196e-05, + "loss": 0.5068, + "step": 2140 + }, + { + "epoch": 3.03, + "grad_norm": 0.9996431469917297, + "learning_rate": 4.81902058197303e-05, + "loss": 0.497, + "step": 2141 + }, + { + "epoch": 3.03, + "grad_norm": 1.0466423034667969, + "learning_rate": 4.8119233498935415e-05, + "loss": 0.5328, + "step": 2142 + }, + { + "epoch": 3.04, + "grad_norm": 1.0136125087738037, + "learning_rate": 4.804826117814053e-05, + "loss": 0.4828, + "step": 2143 + }, + { + "epoch": 3.04, + "grad_norm": 1.0378624200820923, + "learning_rate": 4.7977288857345634e-05, + "loss": 0.5387, + "step": 2144 + }, + { + "epoch": 3.04, + "grad_norm": 1.0223605632781982, + "learning_rate": 4.7906316536550746e-05, + "loss": 0.5476, + "step": 2145 + }, + { + "epoch": 3.04, + "grad_norm": 1.0363613367080688, + "learning_rate": 4.783534421575586e-05, + "loss": 0.5516, + "step": 2146 + }, + { + "epoch": 3.04, + "grad_norm": 0.9881285429000854, + "learning_rate": 4.776437189496097e-05, + "loss": 0.5342, + "step": 2147 + }, + { + "epoch": 3.04, + "grad_norm": 0.989923894405365, + "learning_rate": 4.769339957416608e-05, + "loss": 0.5694, + "step": 2148 + }, + { + "epoch": 3.04, + "grad_norm": 0.9041772484779358, + "learning_rate": 4.762242725337119e-05, + "loss": 0.4411, + "step": 2149 + }, + { + "epoch": 3.05, + "grad_norm": 0.9580135941505432, + "learning_rate": 4.7551454932576297e-05, + "loss": 0.5294, + "step": 2150 + }, + { + "epoch": 3.05, + "grad_norm": 0.9735754132270813, + "learning_rate": 4.748048261178141e-05, + "loss": 0.5518, + "step": 2151 + }, + { + "epoch": 3.05, + "grad_norm": 0.9906786680221558, + "learning_rate": 4.740951029098652e-05, + "loss": 0.5644, + "step": 2152 + }, + { + "epoch": 3.05, + "grad_norm": 0.9299677610397339, + "learning_rate": 4.733853797019163e-05, + "loss": 0.536, + "step": 2153 + }, + { + "epoch": 3.05, + "grad_norm": 0.9068963527679443, + "learning_rate": 4.726756564939674e-05, + "loss": 0.4836, + "step": 2154 + }, + { + "epoch": 3.05, + "grad_norm": 0.9534969925880432, + "learning_rate": 4.719659332860185e-05, + "loss": 0.5291, + "step": 2155 + }, + { + "epoch": 3.05, + "grad_norm": 1.0046902894973755, + "learning_rate": 4.712562100780696e-05, + "loss": 0.5388, + "step": 2156 + }, + { + "epoch": 3.06, + "grad_norm": 0.9631446003913879, + "learning_rate": 4.7054648687012065e-05, + "loss": 0.5067, + "step": 2157 + }, + { + "epoch": 3.06, + "grad_norm": 1.0535892248153687, + "learning_rate": 4.698367636621718e-05, + "loss": 0.5609, + "step": 2158 + }, + { + "epoch": 3.06, + "grad_norm": 0.9783676266670227, + "learning_rate": 4.691270404542229e-05, + "loss": 0.5228, + "step": 2159 + }, + { + "epoch": 3.06, + "grad_norm": 0.9673240184783936, + "learning_rate": 4.68417317246274e-05, + "loss": 0.5479, + "step": 2160 + }, + { + "epoch": 3.06, + "grad_norm": 0.9668963551521301, + "learning_rate": 4.677075940383251e-05, + "loss": 0.477, + "step": 2161 + }, + { + "epoch": 3.06, + "grad_norm": 0.971133291721344, + "learning_rate": 4.6699787083037615e-05, + "loss": 0.4775, + "step": 2162 + }, + { + "epoch": 3.06, + "grad_norm": 0.9844760298728943, + "learning_rate": 4.662881476224273e-05, + "loss": 0.5123, + "step": 2163 + }, + { + "epoch": 3.07, + "grad_norm": 0.9454901814460754, + "learning_rate": 4.6557842441447834e-05, + "loss": 0.5169, + "step": 2164 + }, + { + "epoch": 3.07, + "grad_norm": 0.9617669582366943, + "learning_rate": 4.648687012065295e-05, + "loss": 0.5141, + "step": 2165 + }, + { + "epoch": 3.07, + "grad_norm": 0.9806207418441772, + "learning_rate": 4.641589779985806e-05, + "loss": 0.4989, + "step": 2166 + }, + { + "epoch": 3.07, + "grad_norm": 0.929340124130249, + "learning_rate": 4.6344925479063165e-05, + "loss": 0.5034, + "step": 2167 + }, + { + "epoch": 3.07, + "grad_norm": 0.9709641933441162, + "learning_rate": 4.627395315826828e-05, + "loss": 0.4999, + "step": 2168 + }, + { + "epoch": 3.07, + "grad_norm": 0.9410818219184875, + "learning_rate": 4.6202980837473384e-05, + "loss": 0.4847, + "step": 2169 + }, + { + "epoch": 3.07, + "grad_norm": 0.9140300154685974, + "learning_rate": 4.61320085166785e-05, + "loss": 0.4953, + "step": 2170 + }, + { + "epoch": 3.08, + "grad_norm": 0.9406004548072815, + "learning_rate": 4.60610361958836e-05, + "loss": 0.5043, + "step": 2171 + }, + { + "epoch": 3.08, + "grad_norm": 0.9244046211242676, + "learning_rate": 4.5990063875088716e-05, + "loss": 0.4742, + "step": 2172 + }, + { + "epoch": 3.08, + "grad_norm": 0.9861319661140442, + "learning_rate": 4.591909155429383e-05, + "loss": 0.5383, + "step": 2173 + }, + { + "epoch": 3.08, + "grad_norm": 0.9648599028587341, + "learning_rate": 4.5848119233498934e-05, + "loss": 0.4916, + "step": 2174 + }, + { + "epoch": 3.08, + "grad_norm": 0.9462875127792358, + "learning_rate": 4.577714691270405e-05, + "loss": 0.4533, + "step": 2175 + }, + { + "epoch": 3.08, + "grad_norm": 1.0142507553100586, + "learning_rate": 4.570617459190916e-05, + "loss": 0.5145, + "step": 2176 + }, + { + "epoch": 3.08, + "grad_norm": 0.9575462341308594, + "learning_rate": 4.563520227111427e-05, + "loss": 0.471, + "step": 2177 + }, + { + "epoch": 3.09, + "grad_norm": 1.0417957305908203, + "learning_rate": 4.556422995031938e-05, + "loss": 0.5373, + "step": 2178 + }, + { + "epoch": 3.09, + "grad_norm": 0.9894844889640808, + "learning_rate": 4.549325762952449e-05, + "loss": 0.5464, + "step": 2179 + }, + { + "epoch": 3.09, + "grad_norm": 0.9838773608207703, + "learning_rate": 4.54222853087296e-05, + "loss": 0.5221, + "step": 2180 + }, + { + "epoch": 3.09, + "grad_norm": 0.9868409633636475, + "learning_rate": 4.535131298793471e-05, + "loss": 0.5311, + "step": 2181 + }, + { + "epoch": 3.09, + "grad_norm": 0.944324791431427, + "learning_rate": 4.528034066713982e-05, + "loss": 0.5446, + "step": 2182 + }, + { + "epoch": 3.09, + "grad_norm": 0.9434787034988403, + "learning_rate": 4.520936834634493e-05, + "loss": 0.5004, + "step": 2183 + }, + { + "epoch": 3.09, + "grad_norm": 0.9857025146484375, + "learning_rate": 4.513839602555004e-05, + "loss": 0.5373, + "step": 2184 + }, + { + "epoch": 3.1, + "grad_norm": 0.9952114224433899, + "learning_rate": 4.506742370475515e-05, + "loss": 0.5013, + "step": 2185 + }, + { + "epoch": 3.1, + "grad_norm": 0.9452676177024841, + "learning_rate": 4.499645138396026e-05, + "loss": 0.5079, + "step": 2186 + }, + { + "epoch": 3.1, + "grad_norm": 1.0157325267791748, + "learning_rate": 4.4925479063165366e-05, + "loss": 0.5197, + "step": 2187 + }, + { + "epoch": 3.1, + "grad_norm": 0.9407671093940735, + "learning_rate": 4.485450674237048e-05, + "loss": 0.4895, + "step": 2188 + }, + { + "epoch": 3.1, + "grad_norm": 0.9767752289772034, + "learning_rate": 4.478353442157559e-05, + "loss": 0.5002, + "step": 2189 + }, + { + "epoch": 3.1, + "grad_norm": 0.9899623990058899, + "learning_rate": 4.47125621007807e-05, + "loss": 0.4964, + "step": 2190 + }, + { + "epoch": 3.1, + "grad_norm": 1.0107783079147339, + "learning_rate": 4.464158977998581e-05, + "loss": 0.4909, + "step": 2191 + }, + { + "epoch": 3.11, + "grad_norm": 1.00058114528656, + "learning_rate": 4.4570617459190916e-05, + "loss": 0.5369, + "step": 2192 + }, + { + "epoch": 3.11, + "grad_norm": 0.9973490238189697, + "learning_rate": 4.449964513839603e-05, + "loss": 0.5219, + "step": 2193 + }, + { + "epoch": 3.11, + "grad_norm": 0.9762208461761475, + "learning_rate": 4.4428672817601135e-05, + "loss": 0.5218, + "step": 2194 + }, + { + "epoch": 3.11, + "grad_norm": 0.994667112827301, + "learning_rate": 4.435770049680625e-05, + "loss": 0.5097, + "step": 2195 + }, + { + "epoch": 3.11, + "grad_norm": 0.9990437030792236, + "learning_rate": 4.428672817601135e-05, + "loss": 0.5359, + "step": 2196 + }, + { + "epoch": 3.11, + "grad_norm": 0.9898905754089355, + "learning_rate": 4.4215755855216466e-05, + "loss": 0.4987, + "step": 2197 + }, + { + "epoch": 3.11, + "grad_norm": 0.9653964638710022, + "learning_rate": 4.414478353442158e-05, + "loss": 0.4742, + "step": 2198 + }, + { + "epoch": 3.12, + "grad_norm": 0.9734763503074646, + "learning_rate": 4.4073811213626685e-05, + "loss": 0.5236, + "step": 2199 + }, + { + "epoch": 3.12, + "grad_norm": 0.9727082848548889, + "learning_rate": 4.40028388928318e-05, + "loss": 0.5181, + "step": 2200 + }, + { + "epoch": 3.12, + "grad_norm": 1.0015164613723755, + "learning_rate": 4.39318665720369e-05, + "loss": 0.502, + "step": 2201 + }, + { + "epoch": 3.12, + "grad_norm": 0.965710461139679, + "learning_rate": 4.3860894251242016e-05, + "loss": 0.5046, + "step": 2202 + }, + { + "epoch": 3.12, + "grad_norm": 0.9759023189544678, + "learning_rate": 4.378992193044712e-05, + "loss": 0.5203, + "step": 2203 + }, + { + "epoch": 3.12, + "grad_norm": 0.9397246837615967, + "learning_rate": 4.3718949609652235e-05, + "loss": 0.4816, + "step": 2204 + }, + { + "epoch": 3.12, + "grad_norm": 0.979550302028656, + "learning_rate": 4.364797728885735e-05, + "loss": 0.5214, + "step": 2205 + }, + { + "epoch": 3.13, + "grad_norm": 0.9628053307533264, + "learning_rate": 4.357700496806246e-05, + "loss": 0.5117, + "step": 2206 + }, + { + "epoch": 3.13, + "grad_norm": 1.0112930536270142, + "learning_rate": 4.3506032647267566e-05, + "loss": 0.5711, + "step": 2207 + }, + { + "epoch": 3.13, + "grad_norm": 1.0025320053100586, + "learning_rate": 4.343506032647268e-05, + "loss": 0.5474, + "step": 2208 + }, + { + "epoch": 3.13, + "grad_norm": 1.0063894987106323, + "learning_rate": 4.336408800567779e-05, + "loss": 0.5618, + "step": 2209 + }, + { + "epoch": 3.13, + "grad_norm": 1.0305397510528564, + "learning_rate": 4.32931156848829e-05, + "loss": 0.5585, + "step": 2210 + }, + { + "epoch": 3.13, + "grad_norm": 0.9876142144203186, + "learning_rate": 4.322214336408801e-05, + "loss": 0.517, + "step": 2211 + }, + { + "epoch": 3.13, + "grad_norm": 0.9939770102500916, + "learning_rate": 4.315117104329312e-05, + "loss": 0.4898, + "step": 2212 + }, + { + "epoch": 3.14, + "grad_norm": 0.9995191097259521, + "learning_rate": 4.308019872249823e-05, + "loss": 0.5408, + "step": 2213 + }, + { + "epoch": 3.14, + "grad_norm": 1.0050206184387207, + "learning_rate": 4.300922640170334e-05, + "loss": 0.5386, + "step": 2214 + }, + { + "epoch": 3.14, + "grad_norm": 0.9904208183288574, + "learning_rate": 4.293825408090845e-05, + "loss": 0.5028, + "step": 2215 + }, + { + "epoch": 3.14, + "grad_norm": 1.012172818183899, + "learning_rate": 4.286728176011356e-05, + "loss": 0.5367, + "step": 2216 + }, + { + "epoch": 3.14, + "grad_norm": 0.981663703918457, + "learning_rate": 4.2796309439318666e-05, + "loss": 0.5185, + "step": 2217 + }, + { + "epoch": 3.14, + "grad_norm": 0.9844231009483337, + "learning_rate": 4.272533711852378e-05, + "loss": 0.5212, + "step": 2218 + }, + { + "epoch": 3.14, + "grad_norm": 0.9846050143241882, + "learning_rate": 4.2654364797728885e-05, + "loss": 0.5427, + "step": 2219 + }, + { + "epoch": 3.15, + "grad_norm": 0.9734468460083008, + "learning_rate": 4.2583392476934e-05, + "loss": 0.5248, + "step": 2220 + }, + { + "epoch": 3.15, + "grad_norm": 0.9388629794120789, + "learning_rate": 4.251242015613911e-05, + "loss": 0.4593, + "step": 2221 + }, + { + "epoch": 3.15, + "grad_norm": 0.9485184550285339, + "learning_rate": 4.2441447835344216e-05, + "loss": 0.4847, + "step": 2222 + }, + { + "epoch": 3.15, + "grad_norm": 1.0168582201004028, + "learning_rate": 4.237047551454933e-05, + "loss": 0.5204, + "step": 2223 + }, + { + "epoch": 3.15, + "grad_norm": 0.9456900358200073, + "learning_rate": 4.2299503193754435e-05, + "loss": 0.4953, + "step": 2224 + }, + { + "epoch": 3.15, + "grad_norm": 1.0003365278244019, + "learning_rate": 4.222853087295955e-05, + "loss": 0.5383, + "step": 2225 + }, + { + "epoch": 3.15, + "grad_norm": 1.0175565481185913, + "learning_rate": 4.2157558552164654e-05, + "loss": 0.5451, + "step": 2226 + }, + { + "epoch": 3.15, + "grad_norm": 1.0304280519485474, + "learning_rate": 4.2086586231369766e-05, + "loss": 0.5467, + "step": 2227 + }, + { + "epoch": 3.16, + "grad_norm": 0.9860724806785583, + "learning_rate": 4.201561391057488e-05, + "loss": 0.5399, + "step": 2228 + }, + { + "epoch": 3.16, + "grad_norm": 0.9857328534126282, + "learning_rate": 4.1944641589779985e-05, + "loss": 0.5208, + "step": 2229 + }, + { + "epoch": 3.16, + "grad_norm": 1.07256281375885, + "learning_rate": 4.18736692689851e-05, + "loss": 0.5466, + "step": 2230 + }, + { + "epoch": 3.16, + "grad_norm": 1.0171128511428833, + "learning_rate": 4.1802696948190204e-05, + "loss": 0.5309, + "step": 2231 + }, + { + "epoch": 3.16, + "grad_norm": 1.0043413639068604, + "learning_rate": 4.1731724627395316e-05, + "loss": 0.518, + "step": 2232 + }, + { + "epoch": 3.16, + "grad_norm": 1.0043971538543701, + "learning_rate": 4.166075230660042e-05, + "loss": 0.5515, + "step": 2233 + }, + { + "epoch": 3.16, + "grad_norm": 1.00337553024292, + "learning_rate": 4.1589779985805535e-05, + "loss": 0.5425, + "step": 2234 + }, + { + "epoch": 3.17, + "grad_norm": 1.0087389945983887, + "learning_rate": 4.151880766501065e-05, + "loss": 0.5237, + "step": 2235 + }, + { + "epoch": 3.17, + "grad_norm": 1.0248241424560547, + "learning_rate": 4.144783534421576e-05, + "loss": 0.5685, + "step": 2236 + }, + { + "epoch": 3.17, + "grad_norm": 1.0191607475280762, + "learning_rate": 4.1376863023420867e-05, + "loss": 0.5436, + "step": 2237 + }, + { + "epoch": 3.17, + "grad_norm": 0.9885305762290955, + "learning_rate": 4.130589070262598e-05, + "loss": 0.5082, + "step": 2238 + }, + { + "epoch": 3.17, + "grad_norm": 0.9865046739578247, + "learning_rate": 4.123491838183109e-05, + "loss": 0.5384, + "step": 2239 + }, + { + "epoch": 3.17, + "grad_norm": 0.984719455242157, + "learning_rate": 4.11639460610362e-05, + "loss": 0.5017, + "step": 2240 + }, + { + "epoch": 3.17, + "grad_norm": 0.9513193964958191, + "learning_rate": 4.109297374024131e-05, + "loss": 0.497, + "step": 2241 + }, + { + "epoch": 3.18, + "grad_norm": 1.0050876140594482, + "learning_rate": 4.102200141944642e-05, + "loss": 0.598, + "step": 2242 + }, + { + "epoch": 3.18, + "grad_norm": 0.9792728424072266, + "learning_rate": 4.095102909865153e-05, + "loss": 0.4996, + "step": 2243 + }, + { + "epoch": 3.18, + "grad_norm": 1.059917688369751, + "learning_rate": 4.088005677785664e-05, + "loss": 0.5584, + "step": 2244 + }, + { + "epoch": 3.18, + "grad_norm": 0.962172269821167, + "learning_rate": 4.080908445706175e-05, + "loss": 0.485, + "step": 2245 + }, + { + "epoch": 3.18, + "grad_norm": 0.9715234637260437, + "learning_rate": 4.073811213626686e-05, + "loss": 0.4752, + "step": 2246 + }, + { + "epoch": 3.18, + "grad_norm": 1.0108722448349, + "learning_rate": 4.066713981547197e-05, + "loss": 0.5053, + "step": 2247 + }, + { + "epoch": 3.18, + "grad_norm": 0.9890355467796326, + "learning_rate": 4.059616749467708e-05, + "loss": 0.514, + "step": 2248 + }, + { + "epoch": 3.19, + "grad_norm": 0.966625988483429, + "learning_rate": 4.0525195173882185e-05, + "loss": 0.4707, + "step": 2249 + }, + { + "epoch": 3.19, + "grad_norm": 1.0721231698989868, + "learning_rate": 4.04542228530873e-05, + "loss": 0.5867, + "step": 2250 + }, + { + "epoch": 3.19, + "grad_norm": 0.9937222003936768, + "learning_rate": 4.038325053229241e-05, + "loss": 0.4945, + "step": 2251 + }, + { + "epoch": 3.19, + "grad_norm": 1.0190373659133911, + "learning_rate": 4.031227821149752e-05, + "loss": 0.5281, + "step": 2252 + }, + { + "epoch": 3.19, + "grad_norm": 1.028527855873108, + "learning_rate": 4.024130589070263e-05, + "loss": 0.5356, + "step": 2253 + }, + { + "epoch": 3.19, + "grad_norm": 0.9732937216758728, + "learning_rate": 4.0170333569907735e-05, + "loss": 0.5344, + "step": 2254 + }, + { + "epoch": 3.19, + "grad_norm": 0.9506965279579163, + "learning_rate": 4.009936124911285e-05, + "loss": 0.498, + "step": 2255 + }, + { + "epoch": 3.2, + "grad_norm": 1.0024874210357666, + "learning_rate": 4.0028388928317954e-05, + "loss": 0.5234, + "step": 2256 + }, + { + "epoch": 3.2, + "grad_norm": 0.9432622790336609, + "learning_rate": 3.995741660752307e-05, + "loss": 0.5332, + "step": 2257 + }, + { + "epoch": 3.2, + "grad_norm": 0.9941532015800476, + "learning_rate": 3.988644428672818e-05, + "loss": 0.5044, + "step": 2258 + }, + { + "epoch": 3.2, + "grad_norm": 1.0081837177276611, + "learning_rate": 3.9815471965933286e-05, + "loss": 0.5043, + "step": 2259 + }, + { + "epoch": 3.2, + "grad_norm": 1.062863826751709, + "learning_rate": 3.97444996451384e-05, + "loss": 0.5296, + "step": 2260 + }, + { + "epoch": 3.2, + "grad_norm": 0.9733378291130066, + "learning_rate": 3.9673527324343504e-05, + "loss": 0.5047, + "step": 2261 + }, + { + "epoch": 3.2, + "grad_norm": 0.983255922794342, + "learning_rate": 3.960255500354862e-05, + "loss": 0.4895, + "step": 2262 + }, + { + "epoch": 3.21, + "grad_norm": 0.9561431407928467, + "learning_rate": 3.953158268275372e-05, + "loss": 0.4546, + "step": 2263 + }, + { + "epoch": 3.21, + "grad_norm": 1.0252975225448608, + "learning_rate": 3.9460610361958836e-05, + "loss": 0.5129, + "step": 2264 + }, + { + "epoch": 3.21, + "grad_norm": 0.9920056462287903, + "learning_rate": 3.938963804116395e-05, + "loss": 0.5163, + "step": 2265 + }, + { + "epoch": 3.21, + "grad_norm": 1.0454301834106445, + "learning_rate": 3.931866572036906e-05, + "loss": 0.5528, + "step": 2266 + }, + { + "epoch": 3.21, + "grad_norm": 0.9582340717315674, + "learning_rate": 3.924769339957417e-05, + "loss": 0.5108, + "step": 2267 + }, + { + "epoch": 3.21, + "grad_norm": 1.0326735973358154, + "learning_rate": 3.917672107877928e-05, + "loss": 0.5287, + "step": 2268 + }, + { + "epoch": 3.21, + "grad_norm": 0.9848905801773071, + "learning_rate": 3.910574875798439e-05, + "loss": 0.5271, + "step": 2269 + }, + { + "epoch": 3.22, + "grad_norm": 0.949379563331604, + "learning_rate": 3.90347764371895e-05, + "loss": 0.4887, + "step": 2270 + }, + { + "epoch": 3.22, + "grad_norm": 0.9528018236160278, + "learning_rate": 3.896380411639461e-05, + "loss": 0.4874, + "step": 2271 + }, + { + "epoch": 3.22, + "grad_norm": 0.96091228723526, + "learning_rate": 3.889283179559972e-05, + "loss": 0.5189, + "step": 2272 + }, + { + "epoch": 3.22, + "grad_norm": 1.0250592231750488, + "learning_rate": 3.882185947480483e-05, + "loss": 0.5368, + "step": 2273 + }, + { + "epoch": 3.22, + "grad_norm": 1.0342363119125366, + "learning_rate": 3.875088715400994e-05, + "loss": 0.5076, + "step": 2274 + }, + { + "epoch": 3.22, + "grad_norm": 0.9662345051765442, + "learning_rate": 3.867991483321505e-05, + "loss": 0.5021, + "step": 2275 + }, + { + "epoch": 3.22, + "grad_norm": 1.0056486129760742, + "learning_rate": 3.860894251242016e-05, + "loss": 0.5173, + "step": 2276 + }, + { + "epoch": 3.23, + "grad_norm": 0.9594873785972595, + "learning_rate": 3.853797019162527e-05, + "loss": 0.498, + "step": 2277 + }, + { + "epoch": 3.23, + "grad_norm": 1.001089096069336, + "learning_rate": 3.846699787083038e-05, + "loss": 0.5125, + "step": 2278 + }, + { + "epoch": 3.23, + "grad_norm": 1.0407207012176514, + "learning_rate": 3.8396025550035486e-05, + "loss": 0.5567, + "step": 2279 + }, + { + "epoch": 3.23, + "grad_norm": 0.9708674550056458, + "learning_rate": 3.83250532292406e-05, + "loss": 0.4893, + "step": 2280 + }, + { + "epoch": 3.23, + "grad_norm": 0.9955769181251526, + "learning_rate": 3.8254080908445704e-05, + "loss": 0.4873, + "step": 2281 + }, + { + "epoch": 3.23, + "grad_norm": 0.9997064471244812, + "learning_rate": 3.818310858765082e-05, + "loss": 0.5166, + "step": 2282 + }, + { + "epoch": 3.23, + "grad_norm": 0.9996336698532104, + "learning_rate": 3.811213626685593e-05, + "loss": 0.5054, + "step": 2283 + }, + { + "epoch": 3.24, + "grad_norm": 0.9845335483551025, + "learning_rate": 3.8041163946061036e-05, + "loss": 0.4903, + "step": 2284 + }, + { + "epoch": 3.24, + "grad_norm": 1.0074700117111206, + "learning_rate": 3.797019162526615e-05, + "loss": 0.5121, + "step": 2285 + }, + { + "epoch": 3.24, + "grad_norm": 0.9627556800842285, + "learning_rate": 3.7899219304471255e-05, + "loss": 0.5175, + "step": 2286 + }, + { + "epoch": 3.24, + "grad_norm": 1.0189731121063232, + "learning_rate": 3.782824698367637e-05, + "loss": 0.5354, + "step": 2287 + }, + { + "epoch": 3.24, + "grad_norm": 1.014862060546875, + "learning_rate": 3.775727466288147e-05, + "loss": 0.5459, + "step": 2288 + }, + { + "epoch": 3.24, + "grad_norm": 0.9731964468955994, + "learning_rate": 3.7686302342086586e-05, + "loss": 0.5227, + "step": 2289 + }, + { + "epoch": 3.24, + "grad_norm": 0.9890885353088379, + "learning_rate": 3.76153300212917e-05, + "loss": 0.5083, + "step": 2290 + }, + { + "epoch": 3.25, + "grad_norm": 0.9976668357849121, + "learning_rate": 3.7544357700496805e-05, + "loss": 0.5373, + "step": 2291 + }, + { + "epoch": 3.25, + "grad_norm": 1.04860258102417, + "learning_rate": 3.747338537970192e-05, + "loss": 0.511, + "step": 2292 + }, + { + "epoch": 3.25, + "grad_norm": 1.0599074363708496, + "learning_rate": 3.740241305890702e-05, + "loss": 0.5566, + "step": 2293 + }, + { + "epoch": 3.25, + "grad_norm": 0.9964849352836609, + "learning_rate": 3.7331440738112136e-05, + "loss": 0.5177, + "step": 2294 + }, + { + "epoch": 3.25, + "grad_norm": 0.9439302086830139, + "learning_rate": 3.726046841731725e-05, + "loss": 0.5044, + "step": 2295 + }, + { + "epoch": 3.25, + "grad_norm": 1.0093363523483276, + "learning_rate": 3.718949609652236e-05, + "loss": 0.5031, + "step": 2296 + }, + { + "epoch": 3.25, + "grad_norm": 0.9915724396705627, + "learning_rate": 3.711852377572747e-05, + "loss": 0.5038, + "step": 2297 + }, + { + "epoch": 3.26, + "grad_norm": 0.9472718834877014, + "learning_rate": 3.704755145493258e-05, + "loss": 0.4533, + "step": 2298 + }, + { + "epoch": 3.26, + "grad_norm": 0.9775221347808838, + "learning_rate": 3.697657913413769e-05, + "loss": 0.5127, + "step": 2299 + }, + { + "epoch": 3.26, + "grad_norm": 1.0333958864212036, + "learning_rate": 3.69056068133428e-05, + "loss": 0.5467, + "step": 2300 + }, + { + "epoch": 3.26, + "grad_norm": 1.0134251117706299, + "learning_rate": 3.683463449254791e-05, + "loss": 0.4907, + "step": 2301 + }, + { + "epoch": 3.26, + "grad_norm": 0.979189932346344, + "learning_rate": 3.676366217175302e-05, + "loss": 0.4739, + "step": 2302 + }, + { + "epoch": 3.26, + "grad_norm": 0.9691347479820251, + "learning_rate": 3.669268985095813e-05, + "loss": 0.5066, + "step": 2303 + }, + { + "epoch": 3.26, + "grad_norm": 1.0259438753128052, + "learning_rate": 3.6621717530163236e-05, + "loss": 0.5329, + "step": 2304 + }, + { + "epoch": 3.27, + "grad_norm": 1.004991054534912, + "learning_rate": 3.655074520936835e-05, + "loss": 0.5315, + "step": 2305 + }, + { + "epoch": 3.27, + "grad_norm": 1.0028557777404785, + "learning_rate": 3.647977288857346e-05, + "loss": 0.505, + "step": 2306 + }, + { + "epoch": 3.27, + "grad_norm": 1.0041579008102417, + "learning_rate": 3.640880056777857e-05, + "loss": 0.5333, + "step": 2307 + }, + { + "epoch": 3.27, + "grad_norm": 0.9609581828117371, + "learning_rate": 3.633782824698368e-05, + "loss": 0.5016, + "step": 2308 + }, + { + "epoch": 3.27, + "grad_norm": 0.9761263728141785, + "learning_rate": 3.6266855926188786e-05, + "loss": 0.5014, + "step": 2309 + }, + { + "epoch": 3.27, + "grad_norm": 0.9792344570159912, + "learning_rate": 3.61958836053939e-05, + "loss": 0.4831, + "step": 2310 + }, + { + "epoch": 3.27, + "grad_norm": 1.0584090948104858, + "learning_rate": 3.6124911284599005e-05, + "loss": 0.5732, + "step": 2311 + }, + { + "epoch": 3.28, + "grad_norm": 0.9740521907806396, + "learning_rate": 3.605393896380412e-05, + "loss": 0.4929, + "step": 2312 + }, + { + "epoch": 3.28, + "grad_norm": 0.9656211137771606, + "learning_rate": 3.598296664300923e-05, + "loss": 0.5054, + "step": 2313 + }, + { + "epoch": 3.28, + "grad_norm": 0.9914239048957825, + "learning_rate": 3.5911994322214336e-05, + "loss": 0.5089, + "step": 2314 + }, + { + "epoch": 3.28, + "grad_norm": 1.0298843383789062, + "learning_rate": 3.584102200141945e-05, + "loss": 0.544, + "step": 2315 + }, + { + "epoch": 3.28, + "grad_norm": 0.9930390119552612, + "learning_rate": 3.5770049680624555e-05, + "loss": 0.5594, + "step": 2316 + }, + { + "epoch": 3.28, + "grad_norm": 1.0042483806610107, + "learning_rate": 3.569907735982967e-05, + "loss": 0.4972, + "step": 2317 + }, + { + "epoch": 3.28, + "grad_norm": 0.9482210874557495, + "learning_rate": 3.5628105039034774e-05, + "loss": 0.4537, + "step": 2318 + }, + { + "epoch": 3.29, + "grad_norm": 1.0086231231689453, + "learning_rate": 3.5557132718239886e-05, + "loss": 0.5497, + "step": 2319 + }, + { + "epoch": 3.29, + "grad_norm": 1.0223073959350586, + "learning_rate": 3.5486160397445e-05, + "loss": 0.4925, + "step": 2320 + }, + { + "epoch": 3.29, + "grad_norm": 1.0105258226394653, + "learning_rate": 3.5415188076650105e-05, + "loss": 0.513, + "step": 2321 + }, + { + "epoch": 3.29, + "grad_norm": 1.0318858623504639, + "learning_rate": 3.534421575585522e-05, + "loss": 0.5573, + "step": 2322 + }, + { + "epoch": 3.29, + "grad_norm": 0.9838947653770447, + "learning_rate": 3.5273243435060324e-05, + "loss": 0.5053, + "step": 2323 + }, + { + "epoch": 3.29, + "grad_norm": 0.9841655492782593, + "learning_rate": 3.5202271114265437e-05, + "loss": 0.4869, + "step": 2324 + }, + { + "epoch": 3.29, + "grad_norm": 1.0124472379684448, + "learning_rate": 3.513129879347055e-05, + "loss": 0.529, + "step": 2325 + }, + { + "epoch": 3.3, + "grad_norm": 1.0195896625518799, + "learning_rate": 3.506032647267566e-05, + "loss": 0.5419, + "step": 2326 + }, + { + "epoch": 3.3, + "grad_norm": 0.9941637516021729, + "learning_rate": 3.498935415188077e-05, + "loss": 0.5149, + "step": 2327 + }, + { + "epoch": 3.3, + "grad_norm": 1.036328911781311, + "learning_rate": 3.491838183108588e-05, + "loss": 0.5412, + "step": 2328 + }, + { + "epoch": 3.3, + "grad_norm": 0.9751386046409607, + "learning_rate": 3.484740951029099e-05, + "loss": 0.5206, + "step": 2329 + }, + { + "epoch": 3.3, + "grad_norm": 1.0403040647506714, + "learning_rate": 3.47764371894961e-05, + "loss": 0.5609, + "step": 2330 + }, + { + "epoch": 3.3, + "grad_norm": 0.9578166604042053, + "learning_rate": 3.470546486870121e-05, + "loss": 0.4783, + "step": 2331 + }, + { + "epoch": 3.3, + "grad_norm": 1.0178450345993042, + "learning_rate": 3.463449254790632e-05, + "loss": 0.531, + "step": 2332 + }, + { + "epoch": 3.31, + "grad_norm": 1.0271254777908325, + "learning_rate": 3.456352022711143e-05, + "loss": 0.5501, + "step": 2333 + }, + { + "epoch": 3.31, + "grad_norm": 0.9989926815032959, + "learning_rate": 3.449254790631654e-05, + "loss": 0.5176, + "step": 2334 + }, + { + "epoch": 3.31, + "grad_norm": 1.00890052318573, + "learning_rate": 3.442157558552165e-05, + "loss": 0.5352, + "step": 2335 + }, + { + "epoch": 3.31, + "grad_norm": 1.0696969032287598, + "learning_rate": 3.435060326472676e-05, + "loss": 0.539, + "step": 2336 + }, + { + "epoch": 3.31, + "grad_norm": 1.0061776638031006, + "learning_rate": 3.427963094393187e-05, + "loss": 0.52, + "step": 2337 + }, + { + "epoch": 3.31, + "grad_norm": 1.0269782543182373, + "learning_rate": 3.420865862313698e-05, + "loss": 0.5162, + "step": 2338 + }, + { + "epoch": 3.31, + "grad_norm": 0.9664796590805054, + "learning_rate": 3.413768630234209e-05, + "loss": 0.4884, + "step": 2339 + }, + { + "epoch": 3.32, + "grad_norm": 0.9960459470748901, + "learning_rate": 3.40667139815472e-05, + "loss": 0.5062, + "step": 2340 + }, + { + "epoch": 3.32, + "grad_norm": 1.0411757230758667, + "learning_rate": 3.3995741660752305e-05, + "loss": 0.5715, + "step": 2341 + }, + { + "epoch": 3.32, + "grad_norm": 0.9852669835090637, + "learning_rate": 3.392476933995742e-05, + "loss": 0.4707, + "step": 2342 + }, + { + "epoch": 3.32, + "grad_norm": 1.0226832628250122, + "learning_rate": 3.385379701916253e-05, + "loss": 0.5318, + "step": 2343 + }, + { + "epoch": 3.32, + "grad_norm": 1.077976107597351, + "learning_rate": 3.378282469836764e-05, + "loss": 0.5557, + "step": 2344 + }, + { + "epoch": 3.32, + "grad_norm": 1.0263750553131104, + "learning_rate": 3.371185237757275e-05, + "loss": 0.5563, + "step": 2345 + }, + { + "epoch": 3.32, + "grad_norm": 1.007447600364685, + "learning_rate": 3.3640880056777855e-05, + "loss": 0.5036, + "step": 2346 + }, + { + "epoch": 3.32, + "grad_norm": 0.9899296760559082, + "learning_rate": 3.356990773598297e-05, + "loss": 0.5017, + "step": 2347 + }, + { + "epoch": 3.33, + "grad_norm": 0.9798328876495361, + "learning_rate": 3.3498935415188074e-05, + "loss": 0.5436, + "step": 2348 + }, + { + "epoch": 3.33, + "grad_norm": 0.9951174259185791, + "learning_rate": 3.342796309439319e-05, + "loss": 0.5456, + "step": 2349 + }, + { + "epoch": 3.33, + "grad_norm": 1.0041948556900024, + "learning_rate": 3.335699077359829e-05, + "loss": 0.5188, + "step": 2350 + }, + { + "epoch": 3.33, + "grad_norm": 1.0109312534332275, + "learning_rate": 3.3286018452803406e-05, + "loss": 0.5191, + "step": 2351 + }, + { + "epoch": 3.33, + "grad_norm": 0.9915183186531067, + "learning_rate": 3.321504613200852e-05, + "loss": 0.532, + "step": 2352 + }, + { + "epoch": 3.33, + "grad_norm": 1.0262149572372437, + "learning_rate": 3.3144073811213624e-05, + "loss": 0.5295, + "step": 2353 + }, + { + "epoch": 3.33, + "grad_norm": 1.0315930843353271, + "learning_rate": 3.307310149041874e-05, + "loss": 0.5774, + "step": 2354 + }, + { + "epoch": 3.34, + "grad_norm": 1.0199474096298218, + "learning_rate": 3.300212916962385e-05, + "loss": 0.5729, + "step": 2355 + }, + { + "epoch": 3.34, + "grad_norm": 0.9959515333175659, + "learning_rate": 3.2931156848828956e-05, + "loss": 0.5117, + "step": 2356 + }, + { + "epoch": 3.34, + "grad_norm": 0.9782159328460693, + "learning_rate": 3.286018452803407e-05, + "loss": 0.4816, + "step": 2357 + }, + { + "epoch": 3.34, + "grad_norm": 1.0041710138320923, + "learning_rate": 3.278921220723918e-05, + "loss": 0.5353, + "step": 2358 + }, + { + "epoch": 3.34, + "grad_norm": 1.0350843667984009, + "learning_rate": 3.2718239886444294e-05, + "loss": 0.5499, + "step": 2359 + }, + { + "epoch": 3.34, + "grad_norm": 1.0022941827774048, + "learning_rate": 3.26472675656494e-05, + "loss": 0.5387, + "step": 2360 + }, + { + "epoch": 3.34, + "grad_norm": 0.978432834148407, + "learning_rate": 3.257629524485451e-05, + "loss": 0.5186, + "step": 2361 + }, + { + "epoch": 3.35, + "grad_norm": 0.9733918309211731, + "learning_rate": 3.250532292405962e-05, + "loss": 0.5027, + "step": 2362 + }, + { + "epoch": 3.35, + "grad_norm": 0.9844115376472473, + "learning_rate": 3.243435060326473e-05, + "loss": 0.5145, + "step": 2363 + }, + { + "epoch": 3.35, + "grad_norm": 0.9787808656692505, + "learning_rate": 3.236337828246984e-05, + "loss": 0.4654, + "step": 2364 + }, + { + "epoch": 3.35, + "grad_norm": 1.0499181747436523, + "learning_rate": 3.229240596167495e-05, + "loss": 0.5723, + "step": 2365 + }, + { + "epoch": 3.35, + "grad_norm": 0.9862911701202393, + "learning_rate": 3.222143364088006e-05, + "loss": 0.4858, + "step": 2366 + }, + { + "epoch": 3.35, + "grad_norm": 1.0450081825256348, + "learning_rate": 3.215046132008517e-05, + "loss": 0.5636, + "step": 2367 + }, + { + "epoch": 3.35, + "grad_norm": 1.0021899938583374, + "learning_rate": 3.207948899929028e-05, + "loss": 0.5229, + "step": 2368 + }, + { + "epoch": 3.36, + "grad_norm": 0.9917883276939392, + "learning_rate": 3.200851667849539e-05, + "loss": 0.5194, + "step": 2369 + }, + { + "epoch": 3.36, + "grad_norm": 1.058908462524414, + "learning_rate": 3.19375443577005e-05, + "loss": 0.5492, + "step": 2370 + }, + { + "epoch": 3.36, + "grad_norm": 1.0056339502334595, + "learning_rate": 3.1866572036905606e-05, + "loss": 0.5112, + "step": 2371 + }, + { + "epoch": 3.36, + "grad_norm": 1.0141656398773193, + "learning_rate": 3.179559971611072e-05, + "loss": 0.5233, + "step": 2372 + }, + { + "epoch": 3.36, + "grad_norm": 0.9797987937927246, + "learning_rate": 3.1724627395315825e-05, + "loss": 0.4747, + "step": 2373 + }, + { + "epoch": 3.36, + "grad_norm": 1.0097317695617676, + "learning_rate": 3.165365507452094e-05, + "loss": 0.5095, + "step": 2374 + }, + { + "epoch": 3.36, + "grad_norm": 1.0642932653427124, + "learning_rate": 3.158268275372605e-05, + "loss": 0.5635, + "step": 2375 + }, + { + "epoch": 3.37, + "grad_norm": 0.9883024096488953, + "learning_rate": 3.1511710432931156e-05, + "loss": 0.5196, + "step": 2376 + }, + { + "epoch": 3.37, + "grad_norm": 1.0617568492889404, + "learning_rate": 3.144073811213627e-05, + "loss": 0.5688, + "step": 2377 + }, + { + "epoch": 3.37, + "grad_norm": 0.9752853512763977, + "learning_rate": 3.1369765791341375e-05, + "loss": 0.5124, + "step": 2378 + }, + { + "epoch": 3.37, + "grad_norm": 1.0084364414215088, + "learning_rate": 3.129879347054649e-05, + "loss": 0.5194, + "step": 2379 + }, + { + "epoch": 3.37, + "grad_norm": 1.0282278060913086, + "learning_rate": 3.122782114975159e-05, + "loss": 0.5088, + "step": 2380 + }, + { + "epoch": 3.37, + "grad_norm": 1.0256778001785278, + "learning_rate": 3.1156848828956706e-05, + "loss": 0.5544, + "step": 2381 + }, + { + "epoch": 3.37, + "grad_norm": 1.0465688705444336, + "learning_rate": 3.108587650816182e-05, + "loss": 0.529, + "step": 2382 + }, + { + "epoch": 3.38, + "grad_norm": 1.0042644739151, + "learning_rate": 3.1014904187366925e-05, + "loss": 0.5066, + "step": 2383 + }, + { + "epoch": 3.38, + "grad_norm": 1.0506339073181152, + "learning_rate": 3.094393186657204e-05, + "loss": 0.5395, + "step": 2384 + }, + { + "epoch": 3.38, + "grad_norm": 0.9986273050308228, + "learning_rate": 3.087295954577715e-05, + "loss": 0.4854, + "step": 2385 + }, + { + "epoch": 3.38, + "grad_norm": 0.9996753334999084, + "learning_rate": 3.0801987224982256e-05, + "loss": 0.5069, + "step": 2386 + }, + { + "epoch": 3.38, + "grad_norm": 1.0293785333633423, + "learning_rate": 3.073101490418737e-05, + "loss": 0.5439, + "step": 2387 + }, + { + "epoch": 3.38, + "grad_norm": 1.012476921081543, + "learning_rate": 3.066004258339248e-05, + "loss": 0.5267, + "step": 2388 + }, + { + "epoch": 3.38, + "grad_norm": 1.0480303764343262, + "learning_rate": 3.0589070262597594e-05, + "loss": 0.5875, + "step": 2389 + }, + { + "epoch": 3.39, + "grad_norm": 1.0067976713180542, + "learning_rate": 3.05180979418027e-05, + "loss": 0.5189, + "step": 2390 + }, + { + "epoch": 3.39, + "grad_norm": 0.967479407787323, + "learning_rate": 3.044712562100781e-05, + "loss": 0.4723, + "step": 2391 + }, + { + "epoch": 3.39, + "grad_norm": 0.9812818169593811, + "learning_rate": 3.037615330021292e-05, + "loss": 0.5152, + "step": 2392 + }, + { + "epoch": 3.39, + "grad_norm": 1.037245512008667, + "learning_rate": 3.0305180979418028e-05, + "loss": 0.5402, + "step": 2393 + }, + { + "epoch": 3.39, + "grad_norm": 1.0045421123504639, + "learning_rate": 3.0234208658623138e-05, + "loss": 0.536, + "step": 2394 + }, + { + "epoch": 3.39, + "grad_norm": 0.9535611867904663, + "learning_rate": 3.016323633782825e-05, + "loss": 0.4775, + "step": 2395 + }, + { + "epoch": 3.39, + "grad_norm": 1.007875919342041, + "learning_rate": 3.0092264017033356e-05, + "loss": 0.4937, + "step": 2396 + }, + { + "epoch": 3.4, + "grad_norm": 1.0232481956481934, + "learning_rate": 3.002129169623847e-05, + "loss": 0.5054, + "step": 2397 + }, + { + "epoch": 3.4, + "grad_norm": 1.022507905960083, + "learning_rate": 2.9950319375443582e-05, + "loss": 0.5438, + "step": 2398 + }, + { + "epoch": 3.4, + "grad_norm": 1.0051137208938599, + "learning_rate": 2.9879347054648688e-05, + "loss": 0.5085, + "step": 2399 + }, + { + "epoch": 3.4, + "grad_norm": 0.9932114481925964, + "learning_rate": 2.98083747338538e-05, + "loss": 0.5117, + "step": 2400 + }, + { + "epoch": 3.4, + "grad_norm": 1.0523576736450195, + "learning_rate": 2.9737402413058906e-05, + "loss": 0.5187, + "step": 2401 + }, + { + "epoch": 3.4, + "grad_norm": 1.0372650623321533, + "learning_rate": 2.966643009226402e-05, + "loss": 0.5101, + "step": 2402 + }, + { + "epoch": 3.4, + "grad_norm": 0.9998854398727417, + "learning_rate": 2.9595457771469125e-05, + "loss": 0.5143, + "step": 2403 + }, + { + "epoch": 3.41, + "grad_norm": 1.0421397686004639, + "learning_rate": 2.9524485450674238e-05, + "loss": 0.5271, + "step": 2404 + }, + { + "epoch": 3.41, + "grad_norm": 1.0461199283599854, + "learning_rate": 2.945351312987935e-05, + "loss": 0.5193, + "step": 2405 + }, + { + "epoch": 3.41, + "grad_norm": 1.0345731973648071, + "learning_rate": 2.9382540809084456e-05, + "loss": 0.5227, + "step": 2406 + }, + { + "epoch": 3.41, + "grad_norm": 1.0057165622711182, + "learning_rate": 2.931156848828957e-05, + "loss": 0.507, + "step": 2407 + }, + { + "epoch": 3.41, + "grad_norm": 1.0056483745574951, + "learning_rate": 2.924059616749468e-05, + "loss": 0.5158, + "step": 2408 + }, + { + "epoch": 3.41, + "grad_norm": 1.0037814378738403, + "learning_rate": 2.916962384669979e-05, + "loss": 0.5409, + "step": 2409 + }, + { + "epoch": 3.41, + "grad_norm": 0.9976779818534851, + "learning_rate": 2.9098651525904897e-05, + "loss": 0.5262, + "step": 2410 + }, + { + "epoch": 3.42, + "grad_norm": 0.9764635562896729, + "learning_rate": 2.902767920511001e-05, + "loss": 0.5068, + "step": 2411 + }, + { + "epoch": 3.42, + "grad_norm": 1.001948595046997, + "learning_rate": 2.8956706884315123e-05, + "loss": 0.5317, + "step": 2412 + }, + { + "epoch": 3.42, + "grad_norm": 0.9676224589347839, + "learning_rate": 2.888573456352023e-05, + "loss": 0.499, + "step": 2413 + }, + { + "epoch": 3.42, + "grad_norm": 1.027353286743164, + "learning_rate": 2.881476224272534e-05, + "loss": 0.5309, + "step": 2414 + }, + { + "epoch": 3.42, + "grad_norm": 0.9962853193283081, + "learning_rate": 2.8743789921930447e-05, + "loss": 0.5111, + "step": 2415 + }, + { + "epoch": 3.42, + "grad_norm": 0.9848844408988953, + "learning_rate": 2.867281760113556e-05, + "loss": 0.5067, + "step": 2416 + }, + { + "epoch": 3.42, + "grad_norm": 0.9875693321228027, + "learning_rate": 2.8601845280340666e-05, + "loss": 0.5029, + "step": 2417 + }, + { + "epoch": 3.43, + "grad_norm": 0.9913346171379089, + "learning_rate": 2.853087295954578e-05, + "loss": 0.5344, + "step": 2418 + }, + { + "epoch": 3.43, + "grad_norm": 0.9555786848068237, + "learning_rate": 2.8459900638750885e-05, + "loss": 0.4685, + "step": 2419 + }, + { + "epoch": 3.43, + "grad_norm": 1.03782057762146, + "learning_rate": 2.8388928317955997e-05, + "loss": 0.5803, + "step": 2420 + }, + { + "epoch": 3.43, + "grad_norm": 1.0548306703567505, + "learning_rate": 2.831795599716111e-05, + "loss": 0.5648, + "step": 2421 + }, + { + "epoch": 3.43, + "grad_norm": 1.0190414190292358, + "learning_rate": 2.824698367636622e-05, + "loss": 0.5182, + "step": 2422 + }, + { + "epoch": 3.43, + "grad_norm": 1.0644923448562622, + "learning_rate": 2.817601135557133e-05, + "loss": 0.5258, + "step": 2423 + }, + { + "epoch": 3.43, + "grad_norm": 1.0226292610168457, + "learning_rate": 2.8105039034776438e-05, + "loss": 0.5299, + "step": 2424 + }, + { + "epoch": 3.44, + "grad_norm": 1.0438193082809448, + "learning_rate": 2.803406671398155e-05, + "loss": 0.5171, + "step": 2425 + }, + { + "epoch": 3.44, + "grad_norm": 1.064306378364563, + "learning_rate": 2.7963094393186657e-05, + "loss": 0.5664, + "step": 2426 + }, + { + "epoch": 3.44, + "grad_norm": 0.9808685183525085, + "learning_rate": 2.789212207239177e-05, + "loss": 0.4799, + "step": 2427 + }, + { + "epoch": 3.44, + "grad_norm": 1.047814965248108, + "learning_rate": 2.7821149751596882e-05, + "loss": 0.5405, + "step": 2428 + }, + { + "epoch": 3.44, + "grad_norm": 0.992023229598999, + "learning_rate": 2.7750177430801988e-05, + "loss": 0.5017, + "step": 2429 + }, + { + "epoch": 3.44, + "grad_norm": 1.0322489738464355, + "learning_rate": 2.76792051100071e-05, + "loss": 0.5467, + "step": 2430 + }, + { + "epoch": 3.44, + "grad_norm": 0.9788199663162231, + "learning_rate": 2.7608232789212207e-05, + "loss": 0.4835, + "step": 2431 + }, + { + "epoch": 3.45, + "grad_norm": 1.0321805477142334, + "learning_rate": 2.753726046841732e-05, + "loss": 0.4991, + "step": 2432 + }, + { + "epoch": 3.45, + "grad_norm": 1.0222502946853638, + "learning_rate": 2.7466288147622425e-05, + "loss": 0.5144, + "step": 2433 + }, + { + "epoch": 3.45, + "grad_norm": 1.042504072189331, + "learning_rate": 2.7395315826827538e-05, + "loss": 0.5507, + "step": 2434 + }, + { + "epoch": 3.45, + "grad_norm": 1.035918116569519, + "learning_rate": 2.7324343506032644e-05, + "loss": 0.5504, + "step": 2435 + }, + { + "epoch": 3.45, + "grad_norm": 1.0212652683258057, + "learning_rate": 2.7253371185237757e-05, + "loss": 0.5284, + "step": 2436 + }, + { + "epoch": 3.45, + "grad_norm": 1.0973209142684937, + "learning_rate": 2.718239886444287e-05, + "loss": 0.5614, + "step": 2437 + }, + { + "epoch": 3.45, + "grad_norm": 0.9826099276542664, + "learning_rate": 2.711142654364798e-05, + "loss": 0.4764, + "step": 2438 + }, + { + "epoch": 3.46, + "grad_norm": 1.0115211009979248, + "learning_rate": 2.7040454222853088e-05, + "loss": 0.5199, + "step": 2439 + }, + { + "epoch": 3.46, + "grad_norm": 1.0676625967025757, + "learning_rate": 2.6969481902058198e-05, + "loss": 0.5502, + "step": 2440 + }, + { + "epoch": 3.46, + "grad_norm": 1.050166130065918, + "learning_rate": 2.689850958126331e-05, + "loss": 0.5669, + "step": 2441 + }, + { + "epoch": 3.46, + "grad_norm": 1.061370849609375, + "learning_rate": 2.6827537260468416e-05, + "loss": 0.5565, + "step": 2442 + }, + { + "epoch": 3.46, + "grad_norm": 1.0100698471069336, + "learning_rate": 2.675656493967353e-05, + "loss": 0.5359, + "step": 2443 + }, + { + "epoch": 3.46, + "grad_norm": 0.9985615015029907, + "learning_rate": 2.6685592618878642e-05, + "loss": 0.5417, + "step": 2444 + }, + { + "epoch": 3.46, + "grad_norm": 1.0049725770950317, + "learning_rate": 2.6614620298083748e-05, + "loss": 0.4995, + "step": 2445 + }, + { + "epoch": 3.47, + "grad_norm": 0.973824143409729, + "learning_rate": 2.654364797728886e-05, + "loss": 0.4978, + "step": 2446 + }, + { + "epoch": 3.47, + "grad_norm": 1.0502867698669434, + "learning_rate": 2.6472675656493966e-05, + "loss": 0.5296, + "step": 2447 + }, + { + "epoch": 3.47, + "grad_norm": 0.9943152070045471, + "learning_rate": 2.640170333569908e-05, + "loss": 0.5324, + "step": 2448 + }, + { + "epoch": 3.47, + "grad_norm": 1.0061664581298828, + "learning_rate": 2.6330731014904185e-05, + "loss": 0.4898, + "step": 2449 + }, + { + "epoch": 3.47, + "grad_norm": 0.9694445133209229, + "learning_rate": 2.6259758694109298e-05, + "loss": 0.4816, + "step": 2450 + }, + { + "epoch": 3.47, + "grad_norm": 1.0240046977996826, + "learning_rate": 2.618878637331441e-05, + "loss": 0.5127, + "step": 2451 + }, + { + "epoch": 3.47, + "grad_norm": 1.0239776372909546, + "learning_rate": 2.6117814052519516e-05, + "loss": 0.5422, + "step": 2452 + }, + { + "epoch": 3.48, + "grad_norm": 1.0031204223632812, + "learning_rate": 2.604684173172463e-05, + "loss": 0.5236, + "step": 2453 + }, + { + "epoch": 3.48, + "grad_norm": 0.9446493983268738, + "learning_rate": 2.597586941092974e-05, + "loss": 0.4619, + "step": 2454 + }, + { + "epoch": 3.48, + "grad_norm": 1.073948621749878, + "learning_rate": 2.590489709013485e-05, + "loss": 0.5362, + "step": 2455 + }, + { + "epoch": 3.48, + "grad_norm": 0.9938516616821289, + "learning_rate": 2.5833924769339957e-05, + "loss": 0.5062, + "step": 2456 + }, + { + "epoch": 3.48, + "grad_norm": 1.0002453327178955, + "learning_rate": 2.576295244854507e-05, + "loss": 0.5083, + "step": 2457 + }, + { + "epoch": 3.48, + "grad_norm": 1.0422013998031616, + "learning_rate": 2.5691980127750176e-05, + "loss": 0.5477, + "step": 2458 + }, + { + "epoch": 3.48, + "grad_norm": 0.9741196632385254, + "learning_rate": 2.562100780695529e-05, + "loss": 0.4608, + "step": 2459 + }, + { + "epoch": 3.49, + "grad_norm": 1.0457109212875366, + "learning_rate": 2.55500354861604e-05, + "loss": 0.5356, + "step": 2460 + }, + { + "epoch": 3.49, + "grad_norm": 1.0058279037475586, + "learning_rate": 2.5479063165365507e-05, + "loss": 0.5145, + "step": 2461 + }, + { + "epoch": 3.49, + "grad_norm": 0.999752402305603, + "learning_rate": 2.540809084457062e-05, + "loss": 0.5211, + "step": 2462 + }, + { + "epoch": 3.49, + "grad_norm": 1.0829323530197144, + "learning_rate": 2.5337118523775726e-05, + "loss": 0.5486, + "step": 2463 + }, + { + "epoch": 3.49, + "grad_norm": 1.0869967937469482, + "learning_rate": 2.526614620298084e-05, + "loss": 0.5673, + "step": 2464 + }, + { + "epoch": 3.49, + "grad_norm": 1.0342005491256714, + "learning_rate": 2.5195173882185945e-05, + "loss": 0.5199, + "step": 2465 + }, + { + "epoch": 3.49, + "grad_norm": 0.9886661767959595, + "learning_rate": 2.5124201561391057e-05, + "loss": 0.4892, + "step": 2466 + }, + { + "epoch": 3.49, + "grad_norm": 0.9562023878097534, + "learning_rate": 2.505322924059617e-05, + "loss": 0.4768, + "step": 2467 + }, + { + "epoch": 3.5, + "grad_norm": 1.0431307554244995, + "learning_rate": 2.498225691980128e-05, + "loss": 0.5173, + "step": 2468 + }, + { + "epoch": 3.5, + "grad_norm": 0.9886699914932251, + "learning_rate": 2.491128459900639e-05, + "loss": 0.5218, + "step": 2469 + }, + { + "epoch": 3.5, + "grad_norm": 1.0256837606430054, + "learning_rate": 2.48403122782115e-05, + "loss": 0.5232, + "step": 2470 + }, + { + "epoch": 3.5, + "grad_norm": 1.0431032180786133, + "learning_rate": 2.476933995741661e-05, + "loss": 0.5279, + "step": 2471 + }, + { + "epoch": 3.5, + "grad_norm": 0.9854641556739807, + "learning_rate": 2.469836763662172e-05, + "loss": 0.498, + "step": 2472 + }, + { + "epoch": 3.5, + "grad_norm": 1.0274698734283447, + "learning_rate": 2.462739531582683e-05, + "loss": 0.5412, + "step": 2473 + }, + { + "epoch": 3.5, + "grad_norm": 1.0287938117980957, + "learning_rate": 2.455642299503194e-05, + "loss": 0.5629, + "step": 2474 + }, + { + "epoch": 3.51, + "grad_norm": 0.9638839364051819, + "learning_rate": 2.4485450674237048e-05, + "loss": 0.5243, + "step": 2475 + }, + { + "epoch": 3.51, + "grad_norm": 1.0268467664718628, + "learning_rate": 2.4414478353442157e-05, + "loss": 0.5069, + "step": 2476 + }, + { + "epoch": 3.51, + "grad_norm": 1.0005607604980469, + "learning_rate": 2.4343506032647267e-05, + "loss": 0.5016, + "step": 2477 + }, + { + "epoch": 3.51, + "grad_norm": 1.0163365602493286, + "learning_rate": 2.427253371185238e-05, + "loss": 0.5177, + "step": 2478 + }, + { + "epoch": 3.51, + "grad_norm": 1.0533087253570557, + "learning_rate": 2.420156139105749e-05, + "loss": 0.551, + "step": 2479 + }, + { + "epoch": 3.51, + "grad_norm": 1.117048740386963, + "learning_rate": 2.4130589070262598e-05, + "loss": 0.6015, + "step": 2480 + }, + { + "epoch": 3.51, + "grad_norm": 1.0275087356567383, + "learning_rate": 2.4059616749467708e-05, + "loss": 0.5362, + "step": 2481 + }, + { + "epoch": 3.52, + "grad_norm": 1.0228657722473145, + "learning_rate": 2.3988644428672817e-05, + "loss": 0.5356, + "step": 2482 + }, + { + "epoch": 3.52, + "grad_norm": 1.01448655128479, + "learning_rate": 2.391767210787793e-05, + "loss": 0.5046, + "step": 2483 + }, + { + "epoch": 3.52, + "grad_norm": 0.9837957620620728, + "learning_rate": 2.384669978708304e-05, + "loss": 0.4721, + "step": 2484 + }, + { + "epoch": 3.52, + "grad_norm": 1.0101453065872192, + "learning_rate": 2.3775727466288148e-05, + "loss": 0.5056, + "step": 2485 + }, + { + "epoch": 3.52, + "grad_norm": 1.0054988861083984, + "learning_rate": 2.370475514549326e-05, + "loss": 0.5063, + "step": 2486 + }, + { + "epoch": 3.52, + "grad_norm": 1.026909351348877, + "learning_rate": 2.363378282469837e-05, + "loss": 0.5346, + "step": 2487 + }, + { + "epoch": 3.52, + "grad_norm": 1.0565681457519531, + "learning_rate": 2.356281050390348e-05, + "loss": 0.5563, + "step": 2488 + }, + { + "epoch": 3.53, + "grad_norm": 0.9695550203323364, + "learning_rate": 2.349183818310859e-05, + "loss": 0.4942, + "step": 2489 + }, + { + "epoch": 3.53, + "grad_norm": 1.0256010293960571, + "learning_rate": 2.34208658623137e-05, + "loss": 0.5254, + "step": 2490 + }, + { + "epoch": 3.53, + "grad_norm": 0.9935940504074097, + "learning_rate": 2.3349893541518808e-05, + "loss": 0.5267, + "step": 2491 + }, + { + "epoch": 3.53, + "grad_norm": 1.0092248916625977, + "learning_rate": 2.3278921220723917e-05, + "loss": 0.5296, + "step": 2492 + }, + { + "epoch": 3.53, + "grad_norm": 1.0321085453033447, + "learning_rate": 2.320794889992903e-05, + "loss": 0.525, + "step": 2493 + }, + { + "epoch": 3.53, + "grad_norm": 1.0207672119140625, + "learning_rate": 2.313697657913414e-05, + "loss": 0.5035, + "step": 2494 + }, + { + "epoch": 3.53, + "grad_norm": 1.0441876649856567, + "learning_rate": 2.306600425833925e-05, + "loss": 0.541, + "step": 2495 + }, + { + "epoch": 3.54, + "grad_norm": 1.0213267803192139, + "learning_rate": 2.2995031937544358e-05, + "loss": 0.5041, + "step": 2496 + }, + { + "epoch": 3.54, + "grad_norm": 1.019863247871399, + "learning_rate": 2.2924059616749467e-05, + "loss": 0.5105, + "step": 2497 + }, + { + "epoch": 3.54, + "grad_norm": 0.9917488098144531, + "learning_rate": 2.285308729595458e-05, + "loss": 0.5081, + "step": 2498 + }, + { + "epoch": 3.54, + "grad_norm": 0.9887694716453552, + "learning_rate": 2.278211497515969e-05, + "loss": 0.4958, + "step": 2499 + }, + { + "epoch": 3.54, + "grad_norm": 1.0222865343093872, + "learning_rate": 2.27111426543648e-05, + "loss": 0.5191, + "step": 2500 + } + ], + "logging_steps": 1, + "max_steps": 2820, + "num_input_tokens_seen": 0, + "num_train_epochs": 4, + "save_steps": 500, + "total_flos": 5.0634694852608e+17, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +}